diff --git a/ms-swift/.ipynb_checkpoints/dataset_OSST-checkpoint.json b/ms-swift/.ipynb_checkpoints/dataset_OSST-checkpoint.json
new file mode 100644
index 0000000000000000000000000000000000000000..ca0ebdc48f6d59ad39a81b516e46778360f141d6
--- /dev/null
+++ b/ms-swift/.ipynb_checkpoints/dataset_OSST-checkpoint.json
@@ -0,0 +1,5914 @@
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--113543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--58199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--560596.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1131940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--726661.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--729816.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--520823.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1123711.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--822773.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1001007.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--640525.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--399572.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--803822.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1022129.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--424960.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--999278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--374749.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1080121.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--609913.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--787888.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1190867.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--532510.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--692789.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--4814.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1011922.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--29039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1031234.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--846418.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--162201.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--153751.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--276032.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--727552.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--418520.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--438636.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1083511.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--615914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--501206.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--403013.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1020068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--608672.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--317784.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1171436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--412543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--100933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--901379.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--578986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--665430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--908444.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--449689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1188772.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--536240.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--682132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--934119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674707.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--894939.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--231370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--445827.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--822538.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--498603.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--584031.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--431708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--350446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--737676.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--762905.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1025535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--690063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--214621.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--844892.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--185821.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--795559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--934782.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--49462.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--164800.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--162106.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--69581.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--757426.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1112132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--113543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--58199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--560596.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1131940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--726661.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--729816.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--520823.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1123711.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--822773.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--931585.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--546350.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559292.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--460378.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--931341.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--242753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--964867.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--64931.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--760966.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1113559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--737726.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--370577.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1001007.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:24 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--640525.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--399572.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:30 to 00:35."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--803822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1186756.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--42187.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1022129.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:33 to 00:38."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--905170.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:33 to 00:38."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--424960.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--999278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--374749.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1080121.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--609913.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--787888.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1190867.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--532510.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--692789.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--4814.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1011922.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--29039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1031234.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:28 to 00:33."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--846418.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--162201.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--153751.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--276032.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:40 to 00:44."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--727552.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:24 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--418520.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--438636.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1083511.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--615914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--501206.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--403013.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1020068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--608672.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--317784.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--61606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--766305.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--7207.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--419679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--700208.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--595180.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--158293.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:37 to 00:42."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--179972.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--805432.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1182464.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--762267.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--774546.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--437038.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--769683.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--578559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1188975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--782660.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:11."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--243573.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:26 to 00:31."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--556505.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--249372.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:29 to 00:34."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1010433.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--609826.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1030006.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--985415.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--649949.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--356688.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--98281.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--869455.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--286623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--331396.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:26 to 00:31."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--420178.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--24058.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:39 to 00:44."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--366989.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--277828.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--303363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559369.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--302394.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1151383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:26 to 00:31."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--486837.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--962210.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1095086.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--896752.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--534070.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1092370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--146698.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--287787.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:36 to 00:41."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--901479.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--525710.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--334612.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:29 to 00:34."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--676747.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--269886.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--671614.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--876910.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:05 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--706051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--606362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:37 to 00:42."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--33760.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--860535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--571406.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--421624.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--273875.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--766234.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--78189.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:30 to 00:35."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--497264.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--303336.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--463322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--98673.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--115625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--742899.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:43 to 00:48."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--209436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:27 to 00:32."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--68508.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--966021.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:30."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--449068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--815822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1051467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1129671.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--371354.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--725089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--819618.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:05 to 00:10."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--205413.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--911067.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--640494.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--942720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--193968.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:37 to 00:42."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--302689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--561706.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:33 to 00:37."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--977126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1096861.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1084179.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1142459.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--565809.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--65045.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--159547.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--406352.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--900948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1066203.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:05 to 00:10."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--719199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--894199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:04 to 00:09."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--677446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--680740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--930750.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--490356.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:30 to 00:36."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--13635.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1106201.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--301485.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--82144.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--778704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--713730.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--179376.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--905725.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:29 to 00:33."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--845126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--194829.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--961025.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--486716.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--472748.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:43 to 00:47."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--831005.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1101616.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--63072.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--456887.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--821468.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1794.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1059254.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--748910.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:29 to 00:34."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--378283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--82238.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--860269.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--748822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--96343.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--852467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--404560.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--108309.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--93623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--385362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--915430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:30."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1023331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--775321.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--118976.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--298729.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--762740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--414445.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--752118.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--867206.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--797399.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--304811.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--146504.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--231222.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--437704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--90368.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1007774.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--27446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--480349.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--744708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1088159.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--514047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--767328.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--938056.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--207527.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--205208.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--187351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--740576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--44625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:27 to 00:32."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1092169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1081079.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--391765.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:11."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--439119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1055385.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:28 to 00:33."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--913166.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--903704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--778927.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--895260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--299895.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--271652.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--743500.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1041859.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1169363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--512974.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--12047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--64190.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--580598.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--221517.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--324306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:24 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--706924.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--12295.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1174912.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1030451.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--4948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1029082.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--991838.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1128813.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:27 to 00:32."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--649458.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--237231.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--619961.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1107765.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--73764.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:31."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--943593.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:31 to 00:36."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--974933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--385442.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--219689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1028263.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--19531.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:58 to 01:03."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--137471.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:28 to 00:33."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1004891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--142004.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:24 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--385591.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:24 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--604536.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:30 to 00:35."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1123691.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1168213.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1073790.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--874990.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:41 to 00:46."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--191104.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--328835.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--142496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1186623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--526278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--946489.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--193891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:52 to 00:56."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--873625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:30."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--811940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1097788.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1107341.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--429431.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--523646.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--514230.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--836452.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--16779.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--933043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--478415.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--650705.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--386163.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:28 to 00:32."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--655306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--473100.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--906513.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--88738.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--826028.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:28 to 00:33."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--691830.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--776855.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--372789.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--719372.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--140026.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:26 to 00:31."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--937978.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--798455.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--49720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:30."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--883174.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--575640.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--81191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1122880.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--926731.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1022590.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--228608.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--30336.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--824468.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--635774.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--806479.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--188417.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:30."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--280675.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--648176.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1156242.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1010589.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--972977.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--488132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:05 to 00:10."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--583537.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--795181.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:30."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1097575.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--57082.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--311173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--724308.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1175954.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--805520.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--526526.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--980776.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--481276.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1146016.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--338268.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--967872.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:39 to 00:44."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--47850.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1074077.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--156744.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--776766.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:35 to 00:39."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--487317.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--545009.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--984123.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--730476.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1108753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--888611.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1180329.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--119322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--891432.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--105890.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--109817.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--809183.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--252183.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--990528.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:05 to 00:11."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--243315.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--152172.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--603030.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:45 to 00:49."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--476626.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1140564.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--781246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--970059.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--322068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--397434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:04 to 00:09."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--419304.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--109428.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--456190.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--148115.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--524306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--169891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1080342.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--102351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--960193.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:33 to 00:38."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1149932.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--277060.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--233660.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--327822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--330048.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1090942.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:24 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:24 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--565509.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--115102.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1177869.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--228558.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:37 to 00:42."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--31287.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:34 to 00:40."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--189460.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--927063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--187120.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:04 to 00:09."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--490986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--214477.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--120698.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--220023.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:29 to 00:34."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--686928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--538753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:30."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--154340.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:26 to 00:31."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--165189.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--366589.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:32 to 00:37."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--76986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1061857.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:33 to 00:38."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--645254.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--258272.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1070688.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--70224.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--608903.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--660884.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1104244.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:05 to 00:10."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--246434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--466262.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--262975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--855653.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--939669.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--935998.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--610118.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--903574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1112763.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--775640.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--531935.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--683188.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--962013.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--708343.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--708040.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--581770.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--156618.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:29 to 00:34."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--166191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:27 to 00:32."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--906269.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:54 to 01:00."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--201813.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:06 to 00:10."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--39376.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--413405.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:30."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--206574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--846507.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1049130.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--787791.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--447088.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--296467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:27 to 00:32."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--197137.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--40901.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:30 to 00:36."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1051089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1113674.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--20810.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--221358.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--541347.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--415948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--888565.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--437951.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--334902.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--769615.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--193134.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--218430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1031152.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--636981.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:05 to 00:10."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--416516.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--564472.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--4955.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--254497.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--285043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--329396.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1007416.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--776571.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--616846.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--484021.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--453454.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--843615.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--14913.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:27 to 00:32."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1144076.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--89079.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--33171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--585968.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--387024.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--952835.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--417260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--22719.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 01:01 to 01:07."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--421778.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--509788.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:48 to 00:53."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--368483.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--471036.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--297496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1020192.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--791383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1180469.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:27 to 00:31."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--690452.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1047480.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--29858.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--341205.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:30."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--861085.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--716169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:33 to 00:38."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--121129.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--940934.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--771154.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--761001.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--213851.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--631363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--735517.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--159893.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:31."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--562877.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--717045.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--144310.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--442672.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--857144.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--848051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--813478.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:32 to 00:37."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--571155.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--790538.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--951487.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:04 to 00:10."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--171463.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--51285.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1050100.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--98947.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--908191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--489920.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:30."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1050248.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--954404.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--834526.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--202914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--477747.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--953260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--923496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1084325.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--726133.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--840566.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:32 to 00:37."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--84371.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--316553.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--287169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:24 to 00:30."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--933257.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:29 to 00:34."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--532492.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--833014.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--123906.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--369090.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--617278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--842885.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:27 to 00:32."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--8820.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:24 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--538365.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--420707.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--15103.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--126878.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--860576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 01:03 to 01:09."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--168398.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--836740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1130331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--535368.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:50 to 00:56."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--810606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--977664.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--277322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1017701.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1076439.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--126313.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--784062.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--662948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--741600.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--719833.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--571413.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--556475.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--910635.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--125527.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:06 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1054099.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--770919.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--435477.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--906708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--729972.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--928982.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:24 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--114598.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--535550.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--526216.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:30 to 00:35."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--412246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--203528.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--180962.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:24 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--500115.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--82370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--994948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--346041.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:28 to 00:33."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--289733.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--352805.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--956648.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--413649.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--872171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--465565.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--633173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--583204.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--672051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--218634.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--992151.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:28 to 00:33."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1076109.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:24 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--419812.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:30."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--734147.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:33 to 00:38."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--967919.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--32633.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--634390.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--986089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1185164.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--375003.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--921984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:38 to 00:43."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--56287.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--69960.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--188315.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--179580.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--265976.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--596349.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--218746.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--903126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--627283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--251891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1182226.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--994009.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1013581.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--475793.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--746047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--984679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--715956.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--784738.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--637306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1007617.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--698246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--828152.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--211161.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1131334.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--977434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--542071.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--748043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--310941.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--463700.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--226853.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1087723.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--677647.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--876642.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--617839.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--241883.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:05 to 00:10."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--925277.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--514225.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--714054.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--153526.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--932676.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--185307.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--150383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--489519.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--258235.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1166623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--104984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--389182.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--730163.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--115322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--43736.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--679971.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:26 to 00:31."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--28408.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1085362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:26 to 00:31."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--527126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--258280.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1050427.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--590679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:28 to 00:34."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--468879.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--471264.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1052554.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--468603.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--605295.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--957212.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--41123.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--65367.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--104948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--76089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--186110.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:37 to 00:42."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--508884.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--810624.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--90720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:27 to 00:32."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--511668.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--836018.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--400143.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--771202.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674832.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--720445.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--748077.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1020087.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--718092.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--7405.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--27924.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--556060.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:35 to 00:39."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--152375.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--816805.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--75062.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1120331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--316554.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--582721.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--834165.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--233562.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:19 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--343780.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--566903.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--630141.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--217814.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--934138.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--731416.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--951661.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--999053.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:24 to 00:29."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--41116.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1124666.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--530500.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--403051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--322914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--265946.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--315768.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--601727.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--101351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--907119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--263928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:06 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1101857.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--11862.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--338832.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--596068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--25283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--843172.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--475039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--8155.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--58019.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1001071.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--265829.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--978945.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--208819.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:08 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--317167.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--494198.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--245101.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--181032.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--477920.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--338555.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--55746.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--588465.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--876226.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--169636.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1132437.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674667.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--727873.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--835488.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1079940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--76363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1188579.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--115967.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:32 to 00:38."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--28766.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--295395.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--366333.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--381879.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--197606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:30 to 00:35."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--868975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:28 to 00:33."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--875462.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1108323.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:22 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1087984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:24."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--282928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--41171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1117467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--596356.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--290375.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--932576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--132857.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1171436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:35 to 00:40."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--412543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--100933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--901379.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--578986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--665430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--908444.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:46 to 00:51."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--449689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1188772.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--536240.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--682132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--934119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674707.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--894939.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--231370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--445827.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--822538.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--498603.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--584031.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--431708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:17."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--350446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--737676.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:27."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--762905.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1025535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--690063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--214621.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--844892.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--185821.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--795559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 01:08 to 01:12."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--934782.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--49462.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--164800.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--162106.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--69581.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--757426.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1112132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:12, 00:26-00:30, 00:32-00:35, 00:38-00:39, 00:39-00:44, 00:46-00:48, 01:02-01:09\nSpeaker B: 00:04-00:07, 00:17-00:26, 00:31-00:32, 00:35-00:37, 00:44-00:45, 00:48-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--113543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:04, 00:07-00:18, 00:28-00:36\nSpeaker B: 00:02-00:03, 00:05-00:06, 00:17-00:23, 00:37-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--58199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:14-00:19, 00:33-00:36, 00:44-00:46\nSpeaker B: 00:04-00:09, 00:19-00:33, 00:37-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--560596.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:10, 00:16-00:21, 00:36-00:38, 00:47-00:52\nSpeaker B: 00:03-00:06, 00:10-00:16, 00:27-00:36, 00:39-00:47, 00:53-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1131940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:04-00:10, 00:18-00:26\nSpeaker B: 00:01-00:03, 00:09-00:14, 00:26-00:30"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--726661.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:11-00:17, 00:28-00:34\nSpeaker B: 00:01-00:04, 00:09-00:13, 00:22-00:27, 00:35-00:36"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--729816.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:12-00:24, 00:35-00:45, 00:54-01:00, 01:07-01:14\nSpeaker B: 00:05-00:07, 00:25-00:34, 00:46-00:54, 01:00-01:06, 01:14-01:16"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--520823.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:12-00:20, 00:34-00:39\nSpeaker B: 00:03-00:07, 00:20-00:34, 00:40-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1123711.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:14, 00:24-00:33, 00:38-00:47\nSpeaker B: 00:03-00:07, 00:14-00:19, 00:33-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--822773.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:14-00:20, 00:29-00:36\nSpeaker B: 00:04-00:09, 00:21-00:28, 00:36-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--931585.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:12-00:17, 00:19-00:20, 00:32-00:40, 00:49-01:01\nSpeaker B: 00:03-00:07, 00:17-00:19, 00:21-00:32, 00:40-00:49, 01:02-01:04"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--546350.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:08-00:11, 00:19-00:29, 00:37-00:44\nSpeaker B: 00:03-00:09, 00:16-00:19, 00:30-00:36"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559292.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:15-00:23, 00:31-00:36\nSpeaker B: 00:06-00:10, 00:23-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--460378.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:20-00:30\nSpeaker B: 00:10-00:15"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--931341.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:08, 00:12-00:18, 00:27-00:36, 00:39-00:45, 00:48-00:52, 00:53-00:55\nSpeaker B: 00:02-00:04, 00:09-00:11, 00:17-00:22, 00:36-00:38, 00:45-00:47, 00:52-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--242753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:16-00:23\nSpeaker B: 00:09-00:17, 00:28-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--964867.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:08, 00:23-00:28, 00:32-00:39\nSpeaker B: 00:03-00:06, 00:13-00:22, 00:29-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--64931.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:08-00:19, 00:28-00:44, 00:54-01:00\nSpeaker B: 00:06-00:08, 00:18-00:23, 00:45-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--760966.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:13, 00:26-00:32, 00:42-00:49, 00:56-01:01, 01:05-01:08\nSpeaker B: 00:04-00:10, 00:18-00:26, 00:33-00:42, 00:49-00:56, 01:01-01:05, 01:09-01:11"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1113559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:26-00:52, 01:04-01:21\nSpeaker B: 00:08-00:21, 00:53-01:04"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--737726.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:11, 00:14-00:19, 00:28-00:35, 00:48-00:50\nSpeaker B: 00:02-00:05, 00:11-00:15, 00:24-00:28, 00:35-00:47, 00:51-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--370577.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:14-00:31, 00:38-00:44\nSpeaker B: 00:05-00:09, 00:32-00:38, 00:44-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1001007.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:14-00:24, 00:38-00:51\nSpeaker B: 00:07-00:15, 00:29-00:38, 00:51-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--640525.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:16-00:20, 00:32-00:37, 00:41-00:43\nSpeaker B: 00:02-00:05, 00:13-00:16, 00:20-00:31, 00:38-00:40, 00:43-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--399572.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:13, 00:16-00:19, 00:22-00:26, 00:35-00:41\nSpeaker B: 00:05-00:10, 00:14-00:15, 00:19-00:22, 00:24-00:30, 00:42-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--803822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:16-00:28, 00:36-00:38, 00:41-00:44, 00:52-00:55, 01:03-01:07\nSpeaker B: 00:04-00:11, 00:28-00:35, 00:38-00:40, 00:44-00:51, 00:56-01:02, 01:07-01:08"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1186756.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:12-00:20, 00:24-00:26, 00:30-00:34, 00:38-00:48\nSpeaker B: 00:01-00:07, 00:21-00:24, 00:27-00:29, 00:35-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--42187.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:16, 00:25-00:26, 00:38-00:45\nSpeaker B: 00:03-00:09, 00:21-00:24, 00:27-00:37, 00:45-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1022129.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:08, 00:16-00:26, 00:38-00:58, 01:05-01:14\nSpeaker B: 00:03-00:05, 00:08-00:15, 00:25-00:33, 00:59-01:04, 01:15-01:16"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--905170.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:08-00:18, 00:30-00:33, 00:51-00:54, 00:58-01:02\nSpeaker B: 00:01-00:07, 00:18-00:30, 00:38-00:50, 00:54-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--424960.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:19-00:24, 00:32-00:39\nSpeaker B: 00:05-00:14, 00:24-00:31, 00:39-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--999278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:12, 00:16-00:23, 00:34-00:40, 00:41-01:02, 01:11-01:13\nSpeaker B: 00:03-00:06, 00:12-00:17, 00:28-00:33, 00:40-00:41, 01:03-01:10"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--374749.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:14, 00:26-00:37\nSpeaker B: 00:02-00:03, 00:13-00:21, 00:38-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1080121.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:12, 00:21-00:29, 00:33-00:43, 00:50-00:57\nSpeaker B: 00:04-00:07, 00:11-00:17, 00:30-00:32, 00:44-00:49, 00:57-01:04"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--609913.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:12-00:27, 00:32-00:41\nSpeaker B: 00:04-00:07, 00:28-00:32, 00:41-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--787888.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:11-00:16, 00:35-00:42, 00:51-01:00, 01:05-01:12, 01:19-01:26\nSpeaker B: 00:04-00:06, 00:16-00:35, 00:42-00:50, 01:01-01:04, 01:13-01:19"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1190867.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:17-00:22, 00:23-00:25, 00:30-00:39, 00:45-00:49\nSpeaker B: 00:02-00:04, 00:08-00:13, 00:22-00:23, 00:26-00:29, 00:39-00:45, 00:49-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--532510.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:11-00:20, 00:34-00:42, 00:53-01:02\nSpeaker B: 00:07-00:12, 00:24-00:34, 00:42-00:52, 01:02-01:13"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--692789.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:18-00:39, 00:41-00:46\nSpeaker B: 00:06-00:14, 00:40-00:40, 00:46-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--4814.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:15, 00:22-00:33, 00:38-00:52, 00:55-00:57\nSpeaker B: 00:05-00:07, 00:14-00:17, 00:33-00:37, 00:52-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1011922.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:22-00:35, 00:53-01:02, 01:11-01:13\nSpeaker B: 00:05-00:17, 00:36-00:52, 01:02-01:11"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--29039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:06, 00:10-00:16, 00:29-00:34, 00:37-00:38, 00:44-00:48\nSpeaker B: 00:03-00:05, 00:06-00:10, 00:21-00:28, 00:34-00:37, 00:39-00:44, 00:49-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1031234.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:20-00:28, 00:49-00:53, 01:07-01:10\nSpeaker B: 00:04-00:21, 00:33-00:49, 00:54-01:06"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--846418.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:16-00:25, 00:29-00:32\nSpeaker B: 00:06-00:11, 00:25-00:29, 00:33-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--162201.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:14-00:22, 00:27-00:39\nSpeaker B: 00:06-00:13, 00:22-00:28"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--153751.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:15-00:17, 00:28-00:43\nSpeaker B: 00:04-00:16, 00:22-00:27, 00:43-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--276032.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:06, 00:10-00:12, 00:18-00:20, 00:35-00:40, 01:04-01:07, 01:20-01:22\nSpeaker B: 00:01-00:03, 00:07-00:09, 00:13-00:18, 00:21-00:36, 00:44-01:03, 01:08-01:19"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--727552.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:09-00:19, 00:29-00:36, 00:47-00:51\nSpeaker B: 00:03-00:08, 00:17-00:24, 00:37-00:47, 00:51-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--418520.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:11, 00:19-00:23, 00:27-00:32\nSpeaker B: 00:02-00:08, 00:16-00:19, 00:24-00:27"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--438636.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:11, 00:24-00:34\nSpeaker B: 00:03-00:07, 00:16-00:24, 00:34-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1083511.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:06-00:12, 00:25-00:31, 00:35-00:37, 00:41-00:49\nSpeaker B: 00:05-00:07, 00:17-00:25, 00:31-00:34, 00:37-00:41, 00:50-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--615914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:16, 00:25-00:40, 00:48-00:55\nSpeaker B: 00:03-00:04, 00:15-00:21, 00:41-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--501206.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:13, 00:19-00:23, 00:36-00:43\nSpeaker B: 00:04-00:09, 00:17-00:19, 00:23-00:36, 00:43-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--403013.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:15, 00:26-00:37, 00:43-00:57, 01:07-01:09\nSpeaker B: 00:05-00:10, 00:20-00:25, 00:38-00:42, 00:58-01:06, 01:09-01:10"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1020068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:10, 00:26-00:31, 00:34-00:35\nSpeaker B: 00:02-00:06, 00:15-00:26, 00:32-00:33"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--608672.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:16, 00:25-00:30, 00:38-00:52, 00:58-01:08, 01:17-01:24\nSpeaker B: 00:05-00:07, 00:15-00:21, 00:30-00:37, 00:52-00:58, 01:08-01:17, 01:25-01:28"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--317784.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:09-00:13, 00:19-00:26, 00:33-00:39, 00:44-00:51\nSpeaker B: 00:07-00:09, 00:12-00:14, 00:26-00:32, 00:40-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--61606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:11, 00:20-00:40, 01:00-01:09\nSpeaker B: 00:02-00:03, 00:10-00:15, 00:41-00:59, 01:09-01:19"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--766305.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:16-00:32, 00:39-00:47\nSpeaker B: 00:06-00:11, 00:32-00:38, 00:48-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--7207.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:14-00:23, 00:30-00:34\nSpeaker B: 00:03-00:09, 00:23-00:30, 00:34-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--419679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:12, 00:29-00:38\nSpeaker B: 00:04-00:08, 00:18-00:28, 00:38-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--700208.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:13-00:23, 00:45-00:55\nSpeaker B: 00:04-00:14, 00:28-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--595180.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:13, 00:33-00:35\nSpeaker B: 00:03-00:06, 00:18-00:32, 00:35-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--158293.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:13, 00:18-00:21, 00:25-00:30, 00:42-00:47, 00:50-00:53\nSpeaker B: 00:01-00:05, 00:14-00:17, 00:21-00:24, 00:29-00:37, 00:47-00:49, 00:54-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--179972.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:14, 00:26-00:31, 00:39-00:46\nSpeaker B: 00:03-00:08, 00:13-00:21, 00:32-00:39, 00:46-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--805432.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:07, 00:11-00:13, 00:25-00:33, 00:43-00:52\nSpeaker B: 00:04-00:05, 00:07-00:12, 00:18-00:25, 00:33-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1182464.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:22-00:30\nSpeaker B: 00:09-00:17"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--762267.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:15-00:31, 00:34-00:39\nSpeaker B: 00:02-00:04, 00:08-00:10, 00:31-00:34, 00:39-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--774546.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:14-00:22, 00:27-00:38, 00:47-00:57\nSpeaker B: 00:03-00:09, 00:22-00:27, 00:39-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--437038.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:10, 00:17-00:20, 00:25-00:30, 00:34-00:35\nSpeaker B: 00:03-00:06, 00:14-00:16, 00:20-00:25, 00:31-00:33"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--769683.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:22-00:45, 00:54-01:08\nSpeaker B: 00:14-00:21, 00:45-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--578559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:11, 00:34-00:41\nSpeaker B: 00:02-00:06, 00:16-00:34, 00:41-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1188975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:11, 00:16-00:20, 00:29-00:40, 00:47-00:52\nSpeaker B: 00:04-00:07, 00:11-00:17, 00:25-00:29, 00:41-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--782660.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:11-00:18, 00:23-00:27\nSpeaker B: 00:02-00:07, 00:19-00:23, 00:27-00:35"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--243573.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:19, 00:31-00:37, 00:40-00:55, 01:02-01:11\nSpeaker B: 00:03-00:04, 00:19-00:26, 00:37-00:39, 00:56-01:02, 01:11-01:13"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--556505.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:04-00:08, 00:15-00:19, 00:23-00:39, 00:43-00:48, 00:54-00:56\nSpeaker B: 00:01-00:03, 00:07-00:09, 00:19-00:22, 00:39-00:42, 00:49-00:54, 00:57-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--249372.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:15-00:22, 00:34-00:52, 01:01-01:17\nSpeaker B: 00:07-00:14, 00:21-00:29, 00:52-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1010433.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:10, 00:19-00:21, 00:33-00:39, 00:44-00:48, 00:53-00:57\nSpeaker B: 00:03-00:07, 00:15-00:18, 00:22-00:32, 00:40-00:43, 00:48-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--609826.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:08, 00:17-00:24, 00:32-00:37, 00:43-00:46\nSpeaker B: 00:01-00:02, 00:07-00:12, 00:25-00:32, 00:37-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1030006.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:11, 00:22-00:36\nSpeaker B: 00:03-00:07, 00:16-00:22, 00:36-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--985415.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:19, 00:34-00:43, 00:55-01:03\nSpeaker B: 00:05-00:11, 00:24-00:33, 00:44-00:55, 01:04-01:10"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--649949.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:13, 00:24-00:31, 00:36-00:48, 00:55-01:01\nSpeaker B: 00:04-00:08, 00:18-00:24, 00:32-00:36, 00:49-00:55, 01:02-01:05"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--356688.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:14, 00:27-00:41, 00:43-00:54\nSpeaker B: 00:03-00:09, 00:20-00:27, 00:41-00:42, 00:55-01:06"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--98281.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:15-00:25, 00:27-00:38, 00:41-00:53\nSpeaker B: 00:12-00:15, 00:25-00:27, 00:39-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--869455.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:10, 00:19-00:29, 00:33-00:38, 00:50-00:55, 01:01-01:04, 01:08-01:11, 01:15-01:17\nSpeaker B: 00:02-00:04, 00:10-00:14, 00:30-00:33, 00:38-00:50, 00:55-01:01, 01:05-01:07, 01:12-01:14, 01:17-01:23"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--286623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:13-00:22, 00:27-00:32\nSpeaker B: 00:04-00:09, 00:22-00:27, 00:32-00:35"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--331396.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:10-00:19, 00:31-00:46, 00:50-00:52\nSpeaker B: 00:01-00:03, 00:08-00:09, 00:18-00:26, 00:47-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--420178.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:18, 00:30-00:43\nSpeaker B: 00:04-00:09, 00:23-00:29, 00:44-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--24058.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:09, 00:16-00:19, 00:28-00:32, 00:36-00:39, 00:49-00:50\nSpeaker B: 00:02-00:05, 00:10-00:15, 00:20-00:28, 00:32-00:37, 00:44-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--366989.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:15-00:30\nSpeaker B: 00:06-00:10, 00:31-00:35"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--277828.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:11, 00:21-00:33, 00:43-00:49\nSpeaker B: 00:01-00:03, 00:10-00:16, 00:34-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--303363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:12, 00:21-00:24, 00:30-00:37\nSpeaker B: 00:03-00:06, 00:17-00:20, 00:24-00:29, 00:38-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559369.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:10, 00:19-00:24, 00:29-00:32, 00:35-00:39, 00:44-00:51, 00:56-01:05, 01:10-01:16\nSpeaker B: 00:03-00:06, 00:09-00:15, 00:25-00:29, 00:33-00:34, 00:40-00:43, 00:51-00:56, 01:06-01:09"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--302394.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:15-00:22, 00:36-00:43\nSpeaker B: 00:05-00:16, 00:28-00:35, 00:43-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1151383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:10, 00:14-00:23, 00:31-00:48, 00:56-01:04\nSpeaker B: 00:04-00:05, 00:11-00:13, 00:22-00:26, 00:48-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--486837.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:25-00:48, 00:54-01:05\nSpeaker B: 00:13-00:20, 00:48-00:54, 01:06-01:08"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--962210.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:17, 00:32-00:38\nSpeaker B: 00:05-00:09, 00:22-00:31, 00:39-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1095086.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:04-00:10, 00:18-00:28, 00:34-00:43, 00:50-00:53\nSpeaker B: 00:03-00:04, 00:09-00:13, 00:29-00:34, 00:43-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--896752.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:15-00:22, 00:27-00:29\nSpeaker B: 00:05-00:10, 00:23-00:27, 00:29-00:30"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--534070.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:21-00:27, 00:40-00:48, 00:53-00:55\nSpeaker B: 00:10-00:15, 00:28-00:40, 00:49-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1092370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:12-00:14, 00:16-00:18, 00:31-00:32, 00:38-00:39\nSpeaker B: 00:03-00:07, 00:14-00:16, 00:19-00:30, 00:33-00:38, 00:40-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--146698.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:09, 00:25-00:30\nSpeaker B: 00:03-00:07, 00:14-00:24, 00:30-00:33"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--287787.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:15, 00:22-00:24, 00:28-00:36, 00:46-00:50\nSpeaker B: 00:03-00:09, 00:15-00:22, 00:24-00:29, 00:41-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--901479.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:20-00:33, 00:43-00:45\nSpeaker B: 00:08-00:15, 00:33-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--525710.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:18-00:29, 00:36-00:44, 00:57-01:00\nSpeaker B: 00:08-00:12, 00:30-00:36, 00:44-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--334612.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:14, 00:17-00:21, 00:25-00:29, 00:41-00:46, 00:51-00:56\nSpeaker B: 00:04-00:07, 00:14-00:17, 00:21-00:25, 00:34-00:41, 00:46-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--676747.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:09, 00:11-00:16, 00:24-00:38\nSpeaker B: 00:03-00:04, 00:09-00:12, 00:21-00:24, 00:38-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--269886.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:09, 00:20-00:31\nSpeaker B: 00:01-00:03, 00:08-00:15, 00:31-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--671614.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:11, 00:22-00:36, 00:43-00:52, 00:57-01:06\nSpeaker B: 00:02-00:03, 00:10-00:17, 00:36-00:43, 00:52-00:57, 01:07-01:11"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--876910.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:04-00:08, 00:23-00:28\nSpeaker B: 00:04-00:05, 00:14-00:23, 00:29-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--706051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:08-00:15, 00:42-00:48, 00:54-00:59, 01:17-01:27\nSpeaker B: 00:02-00:09, 00:20-00:42, 00:49-00:54, 00:59-01:16"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--606362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:09-00:13, 00:17-00:37, 00:50-01:15\nSpeaker B: 00:06-00:08, 00:13-00:18, 00:42-00:50, 01:16-01:23"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--33760.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:07, 00:11-00:17, 00:27-00:34, 00:39-00:46, 00:50-00:56, 00:58-01:04\nSpeaker B: 00:02-00:03, 00:07-00:11, 00:17-00:22, 00:35-00:38, 00:47-00:50, 00:56-00:58, 01:04-01:06"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--860535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:16, 00:28-00:32, 00:43-00:45, 00:52-00:54\nSpeaker B: 00:03-00:10, 00:21-00:27, 00:33-00:42, 00:46-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--571406.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:15-00:31, 00:38-00:42\nSpeaker B: 00:04-00:10, 00:32-00:38, 00:42-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--421624.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:13-00:21, 00:26-00:33, 00:37-00:44, 00:49-00:54, 01:01-01:06\nSpeaker B: 00:04-00:08, 00:22-00:25, 00:33-00:37, 00:45-00:48, 00:55-01:00, 01:07-01:12"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--273875.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:22-00:41\nSpeaker B: 00:11-00:17, 00:42-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--766234.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:14, 00:25-00:44, 00:49-00:53, 00:55-01:00\nSpeaker B: 00:04-00:07, 00:13-00:21, 00:45-00:49, 00:54-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--78189.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:18-00:30, 00:53-01:02\nSpeaker B: 00:06-00:19, 00:35-00:52, 01:02-01:13"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--497264.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:07, 00:11-00:16, 00:24-00:32, 00:36-00:47, 00:53-00:59\nSpeaker B: 00:01-00:02, 00:07-00:10, 00:15-00:19, 00:33-00:36, 00:48-00:52, 01:00-01:04"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--303336.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:07, 00:14-00:23, 00:51-00:59\nSpeaker B: 00:01-00:04, 00:07-00:15, 00:29-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--463322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:15-00:17, 00:29-00:34, 00:40-00:50\nSpeaker B: 00:05-00:11, 00:17-00:28, 00:35-00:39, 00:50-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--98673.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:08, 00:11-00:14, 00:21-00:26, 00:29-00:34, 00:38-00:39\nSpeaker B: 00:03-00:06, 00:08-00:11, 00:19-00:21, 00:26-00:29, 00:34-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--115625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:18-00:36, 00:45-00:59\nSpeaker B: 00:07-00:13, 00:36-00:45, 00:59-01:02"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--742899.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:08-00:16, 00:19-00:26, 00:35-00:43, 00:57-01:00, 01:04-01:12\nSpeaker B: 00:03-00:08, 00:16-00:19, 00:26-00:36, 00:48-00:57, 01:00-01:03, 01:12-01:22"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--209436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:10, 00:21-00:27, 00:44-00:54\nSpeaker B: 00:02-00:06, 00:10-00:22, 00:32-00:43, 00:54-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--68508.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:13, 00:21-00:34\nSpeaker B: 00:03-00:06, 00:18-00:21, 00:34-00:40"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--966021.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:03-00:06, 00:08-00:10, 00:12-00:15, 00:21-00:25, 00:43-00:49, 00:53-00:57, 01:02-01:08\nSpeaker B: 00:02-00:03, 00:06-00:07, 00:10-00:12, 00:16-00:22, 00:30-00:42, 00:50-00:52, 00:58-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--449068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:26-00:40, 00:47-01:00\nSpeaker B: 00:14-00:21, 00:41-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--815822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:20-00:29, 00:42-00:48\nSpeaker B: 00:07-00:15, 00:29-00:41, 00:48-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1051467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:09, 00:20-00:28, 00:32-00:34, 00:39-00:44\nSpeaker B: 00:02-00:04, 00:08-00:16, 00:29-00:32, 00:35-00:38, 00:44-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1129671.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:27, 00:34-00:57\nSpeaker B: 00:05-00:09, 00:26-00:29, 00:58-01:02"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--604161.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:23-00:32, 00:34-00:39\nSpeaker B: 00:13-00:18, 00:32-00:33"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--371354.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:07-00:11, 00:19-00:23, 00:25-00:28, 00:30-00:38, 00:43-00:47, 00:52-00:54\nSpeaker B: 00:05-00:07, 00:10-00:15, 00:24-00:25, 00:29-00:29, 00:38-00:42, 00:48-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--725089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:07, 00:15-00:28, 00:35-00:40, 00:44-00:47\nSpeaker B: 00:02-00:04, 00:06-00:10, 00:28-00:34, 00:40-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--819618.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:05, 00:16-00:19, 00:28-00:31, 00:35-00:39\nSpeaker B: 00:02-00:04, 00:10-00:15, 00:19-00:27, 00:31-00:35, 00:39-00:40"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--205413.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:13-00:28, 00:30-00:35\nSpeaker B: 00:04-00:08, 00:28-00:30, 00:36-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--911067.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:10, 00:19-00:30, 00:35-00:39\nSpeaker B: 00:02-00:04, 00:09-00:14, 00:30-00:34, 00:39-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--640494.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:29-00:41\nSpeaker B: 00:14-00:23, 00:41-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--942720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:16-00:25, 00:31-00:36\nSpeaker B: 00:04-00:11, 00:26-00:31, 00:36-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--193968.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:08, 00:12-00:19, 00:24-00:26, 00:30-00:37, 00:47-00:57, 01:03-01:08\nSpeaker B: 00:02-00:04, 00:08-00:11, 00:19-00:23, 00:27-00:31, 00:42-00:47, 00:57-01:03, 01:09-01:11"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--302689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:14-00:26, 00:31-00:34\nSpeaker B: 00:04-00:08, 00:27-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--561706.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:10-00:16, 00:17-00:33, 00:52-01:00\nSpeaker B: 00:06-00:10, 00:16-00:18, 00:37-00:51, 01:01-01:10"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--977126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:21-00:24, 00:33-00:36\nSpeaker B: 00:10-00:16, 00:24-00:33, 00:36-00:40"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1096861.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:15, 00:22-00:28, 00:30-00:34, 00:38-00:42, 00:47-00:52, 01:01-01:07\nSpeaker B: 00:05-00:07, 00:15-00:17, 00:29-00:30, 00:35-00:37, 00:43-00:46, 00:53-01:00, 01:08-01:21"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1084179.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:06, 00:08-00:18, 00:27-00:37, 00:49-00:57\nSpeaker B: 00:01-00:02, 00:07-00:08, 00:17-00:22, 00:38-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1142459.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:13, 00:27-00:32\nSpeaker B: 00:03-00:07, 00:18-00:27, 00:32-00:33"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--565809.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:16, 00:27-00:48, 00:52-01:01\nSpeaker B: 00:02-00:06, 00:15-00:22, 00:48-00:52, 01:02-01:06"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--65045.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:18-00:22, 00:36-00:45\nSpeaker B: 00:08-00:13, 00:22-00:36"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--159547.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:05, 00:08-00:11, 00:19-00:23, 00:30-00:36, 00:42-00:45\nSpeaker B: 00:01-00:04, 00:05-00:09, 00:16-00:19, 00:23-00:30, 00:36-00:41, 00:45-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--406352.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:07, 00:13-00:20, 00:30-00:33, 00:39-00:43\nSpeaker B: 00:01-00:03, 00:08-00:14, 00:24-00:30, 00:34-00:38, 00:44-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--900948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:21-00:41, 00:46-01:05\nSpeaker B: 00:11-00:16, 00:41-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1066203.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:18, 00:26-00:39, 00:46-00:52\nSpeaker B: 00:03-00:05, 00:18-00:26, 00:40-00:45, 00:53-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--719199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:07, 00:13-00:22, 00:25-00:46, 00:49-00:57, 01:03-01:10\nSpeaker B: 00:01-00:03, 00:06-00:09, 00:22-00:24, 00:47-00:49, 00:58-01:02, 01:10-01:15"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--894199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:12, 00:19-00:24, 00:33-00:39, 00:50-00:56\nSpeaker B: 00:03-00:04, 00:12-00:19, 00:24-00:33, 00:40-00:50, 00:57-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--677446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:20, 00:35-00:47, 00:57-01:04\nSpeaker B: 00:03-00:10, 00:26-00:35, 00:47-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--680740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:11, 00:21-00:35, 00:42-00:47\nSpeaker B: 00:02-00:07, 00:16-00:21, 00:36-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--930750.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:08-00:14, 00:25-00:39, 00:44-00:51, 00:56-01:02\nSpeaker B: 00:03-00:09, 00:20-00:24, 00:39-00:44, 00:51-00:56, 01:02-01:04"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--490356.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:19-00:30, 00:52-01:01\nSpeaker B: 00:10-00:20, 00:36-00:52, 01:02-01:04"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--13635.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:13-00:20, 00:39-00:44, 00:51-00:57\nSpeaker B: 00:05-00:14, 00:25-00:39, 00:44-00:51, 00:57-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1106201.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:12-00:19, 00:30-00:32, 00:51-00:59, 01:17-01:21\nSpeaker B: 00:07-00:13, 00:24-00:30, 00:33-00:50, 01:00-01:17"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--301485.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:17-00:22, 00:32-00:33, 00:44-00:49, 00:57-00:58, 01:07-01:10, 01:16-01:17\nSpeaker B: 00:05-00:12, 00:22-00:31, 00:33-00:44, 00:50-00:56, 00:59-01:07, 01:11-01:15, 01:18-01:22"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--82144.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:15, 00:26-00:31, 00:33-00:39, 00:42-00:46\nSpeaker B: 00:05-00:10, 00:20-00:26, 00:31-00:33, 00:39-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--778704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:11, 00:19-00:26, 00:29-00:30, 00:39-00:46, 00:49-01:04\nSpeaker B: 00:02-00:05, 00:10-00:14, 00:27-00:29, 00:31-00:39, 00:46-00:48, 01:05-01:08"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--713730.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:13-00:29, 00:35-00:40, 00:43-00:49, 00:53-00:57\nSpeaker B: 00:05-00:08, 00:30-00:34, 00:40-00:42, 00:49-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--179376.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:13, 00:26-00:33\nSpeaker B: 00:05-00:09, 00:18-00:25, 00:33-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--905725.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:12, 00:16-00:25, 00:33-00:45, 00:49-00:54\nSpeaker B: 00:03-00:06, 00:12-00:15, 00:24-00:29, 00:45-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--845126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:02-00:08, 00:22-00:27, 00:34-00:39\nSpeaker B: 00:01-00:03, 00:13-00:22, 00:27-00:33"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--194829.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:11-00:22, 00:29-00:34, 00:45-00:50, 00:55-01:04\nSpeaker B: 00:05-00:12, 00:26-00:28, 00:35-00:45, 00:50-00:54, 01:05-01:09"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--961025.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:12, 00:20-00:23, 00:27-00:38, 00:43-00:48, 01:00-01:02\nSpeaker B: 00:02-00:04, 00:11-00:14, 00:23-00:27, 00:39-00:42, 00:49-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--486716.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:27-00:50, 00:55-01:15\nSpeaker B: 00:16-00:21, 00:51-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--472748.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:08-00:19, 00:21-00:29, 00:33-00:43, 00:55-01:03, 01:12-01:14\nSpeaker B: 00:06-00:07, 00:19-00:21, 00:30-00:34, 00:47-00:54, 01:04-01:11, 01:15-01:18"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--831005.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:08, 00:13-00:19, 00:31-00:35, 00:38-00:41\nSpeaker B: 00:02-00:05, 00:09-00:13, 00:24-00:30, 00:36-00:38, 00:42-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1101616.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:12-00:21, 00:41-00:45\nSpeaker B: 00:05-00:13, 00:26-00:40"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--63072.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:08-00:15, 00:23-00:27, 00:35-00:47\nSpeaker B: 00:07-00:09, 00:20-00:22, 00:27-00:35, 00:47-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--456887.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:12, 00:22-00:28, 00:33-00:35\nSpeaker B: 00:04-00:07, 00:11-00:17, 00:28-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--821468.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:05, 00:09-00:12, 00:22-00:24, 00:39-00:42, 00:50-00:55, 01:01-01:02\nSpeaker B: 00:01-00:02, 00:06-00:08, 00:11-00:17, 00:25-00:38, 00:43-00:50, 00:55-01:00"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1794.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:16-00:25, 00:31-00:41, 00:49-00:58\nSpeaker B: 00:05-00:11, 00:25-00:31, 00:42-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1059254.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:14, 00:29-00:33, 00:36-00:42, 00:44-00:47, 00:49-00:53\nSpeaker B: 00:05-00:08, 00:19-00:29, 00:33-00:36, 00:43-00:44, 00:47-00:49, 00:54-01:00"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--748910.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:10, 00:18-00:29\nSpeaker B: 00:02-00:06, 00:10-00:19, 00:34-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--378283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:01-00:03, 00:06-00:07, 00:10-00:19, 00:28-00:42, 00:48-00:54\nSpeaker B: 00:00-00:01, 00:03-00:05, 00:08-00:10, 00:19-00:23, 00:43-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--82238.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:15-00:27, 00:29-00:41\nSpeaker B: 00:06-00:10, 00:27-00:28, 00:42-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--860269.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:13, 00:34-00:44\nSpeaker B: 00:04-00:08, 00:18-00:34, 00:44-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--748822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:12, 00:28-00:33\nSpeaker B: 00:06-00:08, 00:16-00:28, 00:34-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--96343.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:14, 00:27-00:36, 00:40-00:43, 00:47-00:56\nSpeaker B: 00:04-00:07, 00:19-00:27, 00:36-00:40, 00:44-00:47, 00:56-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--852467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:07, 00:16-00:29, 00:35-00:36\nSpeaker B: 00:02-00:03, 00:07-00:11, 00:29-00:35"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--404560.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:09, 00:27-00:37, 00:44-00:51\nSpeaker B: 00:02-00:04, 00:14-00:26, 00:37-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--108309.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:15-00:19, 00:24-00:26\nSpeaker B: 00:07-00:10, 00:20-00:24, 00:27-00:30"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--93623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:13, 00:25-00:35\nSpeaker B: 00:02-00:05, 00:12-00:20, 00:36-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--385362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:14, 00:26-00:39, 00:43-00:47\nSpeaker B: 00:02-00:07, 00:19-00:26, 00:40-00:43, 00:48-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--915430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:11-00:18, 00:30-00:40, 00:48-00:54\nSpeaker B: 00:06-00:10, 00:17-00:25, 00:40-00:47, 00:54-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1023331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:13, 00:21-00:32, 00:37-00:39\nSpeaker B: 00:03-00:07, 00:18-00:20, 00:33-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--775321.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:05, 00:07-00:12, 00:25-00:28, 00:35-00:39\nSpeaker B: 00:01-00:03, 00:06-00:07, 00:11-00:20, 00:28-00:34, 00:39-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--118976.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:16-00:26, 00:30-00:31\nSpeaker B: 00:05-00:11, 00:27-00:30, 00:32-00:33"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--298729.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:17-00:21, 00:32-00:35\nSpeaker B: 00:04-00:12, 00:22-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--762740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:12, 00:18-00:24, 00:36-00:41, 00:50-00:53, 00:58-01:00\nSpeaker B: 00:02-00:05, 00:11-00:13, 00:25-00:35, 00:42-00:49, 00:53-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--414445.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:20-00:33, 00:39-00:43\nSpeaker B: 00:04-00:15, 00:33-00:38, 00:44-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--752118.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:16, 00:25-00:39, 00:47-00:58, 01:02-01:05\nSpeaker B: 00:04-00:09, 00:15-00:20, 00:39-00:46, 00:58-01:02"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--867206.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:10-00:14, 00:24-00:25, 00:33-00:42, 00:48-00:53\nSpeaker B: 00:06-00:10, 00:19-00:24, 00:26-00:33, 00:42-00:47, 00:53-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--797399.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:11, 00:22-00:25, 00:33-00:40, 00:48-00:53, 01:03-01:08, 01:13-01:20\nSpeaker B: 00:04-00:08, 00:16-00:21, 00:25-00:33, 00:40-00:48, 00:54-01:03, 01:08-01:13, 01:21-01:23"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--304811.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:10, 00:17-00:31\nSpeaker B: 00:02-00:05, 00:10-00:12, 00:31-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--146504.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:11, 00:19-00:28, 00:33-00:36\nSpeaker B: 00:03-00:06, 00:09-00:14, 00:29-00:33, 00:36-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--231222.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:06, 00:07-00:09, 00:12-00:18, 00:26-00:32, 00:35-00:41, 00:51-00:59, 01:06-01:07\nSpeaker B: 00:01-00:03, 00:06-00:07, 00:09-00:12, 00:17-00:21, 00:32-00:35, 00:41-00:51, 00:59-01:06"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--437704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:11-00:18, 00:29-00:33, 00:39-00:46, 00:51-01:01, 01:05-01:11\nSpeaker B: 00:05-00:12, 00:23-00:29, 00:33-00:38, 00:46-00:51, 01:02-01:04, 01:12-01:14"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--90368.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:10, 00:20-00:32, 00:39-00:47, 00:54-01:05, 01:09-01:10\nSpeaker B: 00:02-00:06, 00:09-00:16, 00:32-00:38, 00:47-00:54, 01:05-01:08"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1007774.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:07, 00:12-00:17, 00:27-00:33, 00:37-00:43, 00:57-01:01, 01:10-01:12\nSpeaker B: 00:01-00:03, 00:07-00:11, 00:16-00:22, 00:33-00:37, 00:44-00:57, 01:02-01:10, 01:13-01:14"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--27446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:09, 00:16-00:24, 00:29-00:33\nSpeaker B: 00:03-00:07, 00:08-00:11, 00:24-00:28, 00:34-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--480349.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:17-00:23, 00:37-00:45, 01:02-01:09\nSpeaker B: 00:05-00:12, 00:24-00:37, 00:45-01:02, 01:09-01:13"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--744708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:11, 00:22-00:30, 00:42-00:49, 00:57-01:00\nSpeaker B: 00:02-00:04, 00:09-00:17, 00:31-00:42, 00:49-00:56, 01:01-01:04"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1088159.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:09-00:16, 00:28-00:37, 00:41-00:50, 00:55-01:01\nSpeaker B: 00:02-00:09, 00:16-00:23, 00:37-00:41, 00:51-00:54, 01:01-01:04"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--514047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:09, 00:18-00:29, 00:33-00:35\nSpeaker B: 00:03-00:06, 00:14-00:17, 00:29-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--767328.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:14-00:29, 00:34-00:52, 00:57-01:04\nSpeaker B: 00:05-00:09, 00:30-00:34, 00:52-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--938056.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:07, 00:16-00:19, 00:28-00:32, 00:37-00:38\nSpeaker B: 00:03-00:04, 00:07-00:11, 00:19-00:27, 00:33-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--207527.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:08, 00:11-00:18, 00:24-00:33\nSpeaker B: 00:04-00:07, 00:08-00:10, 00:17-00:19, 00:33-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--205208.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:13, 00:26-00:33, 00:38-00:40\nSpeaker B: 00:03-00:06, 00:18-00:25, 00:34-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--187351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:11, 00:20-00:36, 00:44-00:52\nSpeaker B: 00:03-00:05, 00:10-00:15, 00:37-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--740576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:13, 00:21-00:28, 00:33-00:36, 00:39-00:42\nSpeaker B: 00:02-00:07, 00:17-00:20, 00:28-00:32, 00:37-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--44625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:16-00:27, 00:41-00:49, 00:59-01:07\nSpeaker B: 00:08-00:17, 00:32-00:41, 00:49-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1092169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:13, 00:22-00:28\nSpeaker B: 00:04-00:06, 00:12-00:17, 00:29-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1081079.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:10-00:13, 00:25-00:31, 00:43-00:48\nSpeaker B: 00:05-00:09, 00:13-00:20, 00:32-00:43, 00:49-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--391765.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:04, 00:11-00:15, 00:26-00:31\nSpeaker B: 00:02-00:02, 00:04-00:07, 00:16-00:25, 00:31-00:33"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:08, 00:12-00:20, 00:35-00:47, 00:52-00:59\nSpeaker B: 00:03-00:04, 00:08-00:13, 00:25-00:34, 00:48-00:52, 01:00-01:04"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--439119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:21-00:41\nSpeaker B: 00:09-00:17, 00:41-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1055385.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:20-00:28, 00:47-00:54, 01:08-01:13\nSpeaker B: 00:03-00:21, 00:33-00:47, 00:54-01:08"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--913166.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:08-00:14, 00:29-00:38\nSpeaker B: 00:06-00:08, 00:20-00:28, 00:38-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--903704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:11, 00:20-00:28, 00:34-00:39, 00:49-00:59, 01:04-01:05\nSpeaker B: 00:03-00:04, 00:10-00:16, 00:29-00:34, 00:39-00:48, 01:00-01:03"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--778927.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:16, 00:31-00:35, 00:43-00:49, 00:59-01:02\nSpeaker B: 00:04-00:10, 00:21-00:30, 00:35-00:42, 00:49-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--895260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:09-00:14, 00:25-00:33, 00:40-00:48\nSpeaker B: 00:06-00:10, 00:19-00:25, 00:34-00:40, 00:49-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--299895.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:07, 00:14-00:24, 00:32-00:39\nSpeaker B: 00:02-00:05, 00:13-00:13, 00:24-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--271652.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:09, 00:18-00:25, 00:30-00:38\nSpeaker B: 00:03-00:06, 00:14-00:18, 00:26-00:29"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--743500.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:09-00:19, 00:27-00:34, 00:48-00:57\nSpeaker B: 00:06-00:08, 00:17-00:22, 00:34-00:47, 00:57-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1041859.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:10, 00:17-00:25, 00:36-00:43\nSpeaker B: 00:04-00:07, 00:15-00:17, 00:26-00:35"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1169363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:08, 00:15-00:22, 00:30-00:31\nSpeaker B: 00:02-00:05, 00:13-00:15, 00:23-00:30, 00:31-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--512974.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:12, 00:23-00:30, 00:42-00:49, 00:58-01:00\nSpeaker B: 00:04-00:05, 00:11-00:17, 00:31-00:41, 00:49-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--12047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:11-00:16\nSpeaker B: 00:03-00:12, 00:22-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--64190.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:09, 00:18-00:28, 00:30-00:55, 01:02-01:20\nSpeaker B: 00:03-00:05, 00:08-00:13, 00:28-00:29, 00:55-01:02"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--580598.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:09, 00:19-00:22, 00:31-00:39, 00:45-00:50\nSpeaker B: 00:02-00:05, 00:09-00:14, 00:23-00:30, 00:40-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--221517.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:11, 00:21-00:28, 00:34-00:39, 00:42-00:44, 00:49-00:58\nSpeaker B: 00:03-00:05, 00:16-00:21, 00:28-00:33, 00:39-00:41, 00:45-00:49, 00:59-01:04"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--324306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:11, 00:15-00:21, 00:29-00:38, 00:47-00:58\nSpeaker B: 00:05-00:07, 00:12-00:14, 00:20-00:24, 00:38-00:46, 00:58-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--706924.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:08-00:16, 00:24-00:33, 00:38-00:41\nSpeaker B: 00:02-00:07, 00:15-00:20, 00:34-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--12295.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:07, 00:10-00:18, 00:25-00:32, 00:37-00:44\nSpeaker B: 00:02-00:04, 00:07-00:10, 00:23-00:25, 00:33-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1174912.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:11, 00:21-00:34\nSpeaker B: 00:01-00:04, 00:10-00:16, 00:35-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1030451.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:11, 00:25-00:29, 00:32-00:34, 00:42-00:47, 00:52-00:56\nSpeaker B: 00:01-00:06, 00:16-00:25, 00:30-00:32, 00:34-00:41, 00:47-00:52, 00:57-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--4948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:15-00:20, 00:22-00:26, 00:40-00:45, 00:53-00:57\nSpeaker B: 00:05-00:10, 00:20-00:22, 00:27-00:39, 00:46-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1029082.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:12, 00:25-00:30\nSpeaker B: 00:04-00:08, 00:17-00:25, 00:31-00:35"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--991838.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:25-00:37, 00:47-00:51\nSpeaker B: 00:08-00:20, 00:37-00:47, 00:51-01:02"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1128813.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:08-00:22, 00:32-00:40, 00:43-00:59, 01:05-01:14\nSpeaker B: 00:06-00:07, 00:21-00:27, 00:41-00:43, 01:00-01:05"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--649458.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:13-00:32, 00:39-00:42\nSpeaker B: 00:04-00:08, 00:32-00:39, 00:42-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--237231.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:12-00:18, 00:33-00:39, 00:47-00:50\nSpeaker B: 00:08-00:13, 00:24-00:32, 00:39-00:46, 00:50-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--619961.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:15, 00:29-00:37, 00:45-00:52, 00:59-01:05\nSpeaker B: 00:02-00:04, 00:14-00:25, 00:37-00:44, 00:53-00:58, 01:06-01:13"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1107765.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:11-00:21, 00:32-00:34, 00:41-00:50, 00:56-01:00\nSpeaker B: 00:04-00:06, 00:22-00:32, 00:35-00:40, 00:50-00:55, 01:01-01:05"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--73764.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:17-00:25, 00:35-00:42\nSpeaker B: 00:03-00:18, 00:31-00:35, 00:43-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--943593.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:13-00:24, 00:36-00:47, 00:56-01:04\nSpeaker B: 00:06-00:13, 00:23-00:31, 00:47-00:55, 01:05-01:06"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--974933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:16-00:24, 00:30-00:33\nSpeaker B: 00:06-00:11, 00:25-00:29, 00:34-00:40"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--385442.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:22-00:24, 00:44-00:50, 01:01-01:04\nSpeaker B: 00:13-00:17, 00:24-00:43, 00:51-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--219689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:14, 00:24-00:29, 00:33-00:38, 00:43-00:48, 00:54-00:59, 01:05-01:10\nSpeaker B: 00:02-00:06, 00:13-00:19, 00:30-00:33, 00:38-00:42, 00:49-00:53, 01:00-01:05, 01:11-01:16"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1028263.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:09, 00:20-00:22, 00:28-00:35, 00:40-00:42\nSpeaker B: 00:03-00:07, 00:14-00:20, 00:23-00:28, 00:35-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--19531.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:27, 00:38-00:53, 01:03-01:09\nSpeaker B: 00:05-00:09, 00:28-00:38, 00:52-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--137471.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:11-00:24, 00:33-00:37, 00:41-00:56\nSpeaker B: 00:08-00:11, 00:23-00:28, 00:37-00:41, 00:57-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1004891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:16-00:29, 00:34-00:44, 00:49-00:53, 00:55-01:03\nSpeaker B: 00:07-00:11, 00:29-00:34, 00:45-00:48, 00:54-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--142004.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:06-00:08, 00:10-00:15, 00:17-00:24, 00:30-00:35\nSpeaker B: 00:05-00:06, 00:09-00:10, 00:15-00:19, 00:29-00:30, 00:36-00:40"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--385591.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:17, 00:28-00:33\nSpeaker B: 00:03-00:05, 00:16-00:24, 00:34-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--604536.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:12-00:23, 00:35-00:47, 00:57-01:07\nSpeaker B: 00:03-00:12, 00:22-00:30, 00:48-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1123691.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:13-00:19, 00:25-00:34, 00:41-00:50\nSpeaker B: 00:07-00:08, 00:20-00:24, 00:35-00:41, 00:51-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1168213.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:15-00:26, 00:32-00:37\nSpeaker B: 00:06-00:10, 00:26-00:31, 00:38-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1073790.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:06, 00:09-00:15, 00:30-00:34\nSpeaker B: 00:01-00:04, 00:06-00:10, 00:21-00:30, 00:35-00:36"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--874990.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:13-00:18, 00:22-00:25, 00:30-00:39, 00:46-00:55\nSpeaker B: 00:01-00:04, 00:08-00:12, 00:18-00:21, 00:25-00:29, 00:38-00:41, 00:56-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--191104.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:18-00:24, 00:32-00:37, 00:47-00:51\nSpeaker B: 00:07-00:12, 00:24-00:31, 00:38-00:46, 00:51-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--328835.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:17-00:27, 00:39-00:46\nSpeaker B: 00:07-00:12, 00:28-00:38, 00:47-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--142496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:18-00:34\nSpeaker B: 00:06-00:13, 00:35-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1186623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:16-00:22, 00:27-00:31, 00:38-00:43\nSpeaker B: 00:05-00:10, 00:22-00:26, 00:32-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--526278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:14, 00:23-00:32, 00:37-00:49, 00:55-01:01, 01:04-01:07, 01:12-01:17\nSpeaker B: 00:04-00:07, 00:13-00:18, 00:33-00:37, 00:49-00:54, 01:01-01:03, 01:07-01:11"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--946489.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:14-00:21, 00:38-00:47, 00:56-01:05\nSpeaker B: 00:01-00:03, 00:09-00:15, 00:26-00:38, 00:48-00:56, 01:05-01:10"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--193891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:11, 00:17-00:24, 00:34-00:35, 00:39-00:46, 00:56-01:07, 01:12-01:15, 01:19-01:20\nSpeaker B: 00:04-00:06, 00:11-00:17, 00:25-00:33, 00:36-00:39, 00:45-00:52, 01:07-01:12, 01:16-01:18, 01:21-01:24"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--873625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:20, 00:30-00:42, 00:53-01:01\nSpeaker B: 00:04-00:09, 00:19-00:25, 00:43-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--811940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:10, 00:19-00:26, 00:30-00:42, 00:49-00:57, 01:01-01:05\nSpeaker B: 00:03-00:06, 00:14-00:19, 00:26-00:30, 00:43-00:48, 00:57-01:01, 01:06-01:13"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1097788.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:16, 00:27-00:45\nSpeaker B: 00:03-00:05, 00:15-00:22, 00:45-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1107341.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:17-00:21, 00:25-00:28, 00:37-00:44\nSpeaker B: 00:04-00:16, 00:22-00:24, 00:28-00:37, 00:45-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--429431.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:03-00:08, 00:23-00:27, 00:34-00:37\nSpeaker B: 00:02-00:04, 00:13-00:23, 00:27-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--523646.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:12-00:17, 00:26-00:30, 00:35-00:39\nSpeaker B: 00:02-00:07, 00:18-00:26, 00:31-00:35, 00:39-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--514230.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:13-00:14, 00:24-00:32\nSpeaker B: 00:01-00:14, 00:19-00:23, 00:32-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--836452.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:07, 00:16-00:20, 00:33-00:37, 00:42-00:49\nSpeaker B: 00:02-00:04, 00:06-00:11, 00:20-00:32, 00:37-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--16779.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:16, 00:28-00:35, 00:39-00:42, 00:45-00:46, 00:51-00:52\nSpeaker B: 00:04-00:11, 00:21-00:27, 00:35-00:38, 00:42-00:44, 00:46-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--933043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:10, 00:20-00:25\nSpeaker B: 00:03-00:04, 00:09-00:15, 00:26-00:30"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--478415.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:15, 00:24-00:39, 00:44-00:54\nSpeaker B: 00:05-00:08, 00:19-00:24, 00:39-00:44, 00:54-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--650705.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:07, 00:16-00:26, 00:31-00:34\nSpeaker B: 00:01-00:03, 00:07-00:11, 00:26-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--386163.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:08, 00:13-00:24, 00:32-00:38, 00:43-00:46, 00:50-00:56, 01:03-01:05\nSpeaker B: 00:02-00:05, 00:09-00:12, 00:23-00:28, 00:38-00:43, 00:47-00:49, 00:56-01:03"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--655306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:12-00:19, 00:27-00:31, 00:46-00:55, 00:59-01:03, 01:06-01:09\nSpeaker B: 00:08-00:12, 00:18-00:23, 00:32-00:46, 00:55-00:59, 01:04-01:06"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--473100.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:09, 00:12-00:19, 00:28-00:41\nSpeaker B: 00:03-00:06, 00:09-00:12, 00:18-00:22, 00:41-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--906513.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:10, 00:21-00:28\nSpeaker B: 00:02-00:05, 00:15-00:21, 00:28-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--88738.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:16, 00:26-00:40, 00:49-00:58\nSpeaker B: 00:02-00:04, 00:15-00:21, 00:41-00:49, 00:58-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--826028.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:02-00:06, 00:09-00:15, 00:17-00:23, 00:33-00:42, 00:48-00:56, 01:01-01:13\nSpeaker B: 00:01-00:02, 00:06-00:09, 00:15-00:17, 00:22-00:28, 00:42-00:47, 00:56-01:01, 01:13-01:15"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--691830.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:10, 00:15-00:22, 00:36-00:44\nSpeaker B: 00:02-00:05, 00:11-00:16, 00:27-00:36, 00:45-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--776855.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:13-00:20, 00:35-00:39\nSpeaker B: 00:03-00:08, 00:21-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--372789.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:15, 00:33-00:38, 00:43-00:51, 00:53-00:55, 00:59-01:01, 01:06-01:08\nSpeaker B: 00:03-00:07, 00:20-00:32, 00:38-00:43, 00:51-00:52, 00:55-00:59, 01:02-01:05"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--719372.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:19-00:29, 00:37-00:47, 00:54-01:02\nSpeaker B: 00:07-00:13, 00:30-00:36, 00:48-00:54, 01:02-01:03"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--140026.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:22-00:26, 00:41-00:49, 00:59-01:11\nSpeaker B: 00:14-00:23, 00:31-00:41, 00:50-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--937978.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:20-00:28, 00:42-00:50, 00:55-00:59\nSpeaker B: 00:07-00:14, 00:28-00:42, 00:50-00:55, 00:59-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--798455.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:17-00:34, 00:45-01:07\nSpeaker B: 00:06-00:12, 00:34-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--49720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:18-00:25, 00:51-01:02\nSpeaker B: 00:08-00:18, 00:30-00:51, 01:02-01:05"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--883174.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:16-00:22, 00:28-00:32\nSpeaker B: 00:01-00:03, 00:07-00:11, 00:23-00:28, 00:32-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--575640.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:18-00:24, 00:40-00:45\nSpeaker B: 00:05-00:14, 00:24-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--81191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:07-00:15, 00:32-00:43\nSpeaker B: 00:05-00:08, 00:20-00:32, 00:43-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1122880.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:15-00:22, 00:28-00:30, 00:35-00:36\nSpeaker B: 00:04-00:10, 00:23-00:27, 00:31-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--926731.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:13-00:18, 00:25-00:27, 00:32-00:44\nSpeaker B: 00:04-00:08, 00:18-00:24, 00:28-00:32, 00:44-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1022590.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:09-00:16, 00:28-00:39, 00:42-00:51, 00:57-01:00, 01:07-01:09\nSpeaker B: 00:07-00:09, 00:15-00:23, 00:39-00:42, 00:52-00:57, 01:00-01:06"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--228608.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:12-00:19, 00:25-00:38, 00:46-00:49\nSpeaker B: 00:03-00:08, 00:19-00:25, 00:38-00:45, 00:50-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--30336.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:06, 00:15-00:20, 00:22-00:29, 00:37-00:45\nSpeaker B: 00:02-00:04, 00:05-00:10, 00:20-00:21, 00:29-00:36, 00:45-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--824468.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:05, 00:13-00:24, 00:32-00:38\nSpeaker B: 00:01-00:02, 00:04-00:08, 00:25-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--635774.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:06, 00:08-00:12, 00:19-00:39, 00:44-00:51, 00:57-01:01, 01:08-01:09\nSpeaker B: 00:01-00:02, 00:06-00:09, 00:17-00:19, 00:40-00:44, 00:52-00:56, 01:01-01:07"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--806479.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:26-00:37\nSpeaker B: 00:12-00:21, 00:37-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--188417.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:07-00:14, 00:18-00:25, 00:41-00:48\nSpeaker B: 00:05-00:07, 00:14-00:19, 00:30-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--280675.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:08-00:15, 00:25-00:33, 00:36-00:39, 00:50-00:56\nSpeaker B: 00:02-00:08, 00:20-00:24, 00:33-00:35, 00:39-00:49, 00:57-01:03"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--648176.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:22-00:24, 00:35-00:40, 00:46-00:51\nSpeaker B: 00:01-00:05, 00:14-00:21, 00:24-00:35, 00:40-00:46, 00:51-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1156242.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:06, 00:09-00:10, 00:11-00:17, 00:25-00:28, 00:30-00:34, 00:37-00:39\nSpeaker B: 00:02-00:03, 00:06-00:08, 00:10-00:12, 00:22-00:25, 00:28-00:30, 00:35-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1010589.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:08, 00:12-00:15, 00:26-00:34, 00:37-00:41, 00:45-01:06, 01:14-01:29\nSpeaker B: 00:02-00:05, 00:09-00:11, 00:15-00:21, 00:34-00:36, 00:41-00:44, 01:06-01:13"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--972977.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:13, 00:21-00:25, 00:28-00:34\nSpeaker B: 00:03-00:05, 00:12-00:17, 00:26-00:27, 00:34-00:36"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--488132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:15, 00:33-00:42, 00:58-01:05\nSpeaker B: 00:03-00:05, 00:16-00:33, 00:43-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--583537.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:16, 00:26-00:35, 00:48-01:05, 01:18-01:26\nSpeaker B: 00:03-00:04, 00:15-00:21, 00:35-00:48, 01:06-01:18"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--795181.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:18-00:25, 00:39-00:44, 00:51-00:55\nSpeaker B: 00:01-00:03, 00:09-00:18, 00:30-00:39, 00:45-00:51, 00:55-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1097575.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:15-00:27\nSpeaker B: 00:03-00:09, 00:27-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--57082.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:16, 00:25-00:31, 00:37-00:47, 00:50-01:07\nSpeaker B: 00:04-00:10, 00:21-00:24, 00:32-00:37, 00:47-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--311173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:12, 00:21-00:27\nSpeaker B: 00:04-00:05, 00:11-00:16, 00:27-00:30"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--724308.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:12-00:12, 00:25-00:27, 00:32-00:33\nSpeaker B: 00:02-00:07, 00:13-00:25, 00:27-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1175954.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:18-00:31, 00:47-01:02\nSpeaker B: 00:08-00:13, 00:32-00:47, 01:03-01:10"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--805520.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:18-00:35\nSpeaker B: 00:08-00:13, 00:35-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--526526.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:13-00:17, 00:19-00:21, 00:24-00:24, 00:27-00:32, 00:35-00:42\nSpeaker B: 00:05-00:08, 00:17-00:19, 00:21-00:23, 00:25-00:26, 00:32-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--980776.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:09, 00:14-00:18, 00:21-00:27, 00:32-00:34\nSpeaker B: 00:02-00:05, 00:08-00:12, 00:13-00:14, 00:19-00:21, 00:27-00:32, 00:35-00:35"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--481276.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:08, 00:15-00:17, 00:32-00:37, 00:50-00:57, 01:03-01:13\nSpeaker B: 00:02-00:05, 00:08-00:16, 00:22-00:32, 00:37-00:50, 00:57-01:02, 01:14-01:16"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1146016.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:08-00:12, 00:22-00:26, 00:30-00:35, 00:41-00:47, 00:49-00:51\nSpeaker B: 00:02-00:09, 00:18-00:22, 00:26-00:30, 00:35-00:41, 00:47-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--338268.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:11, 00:18-00:28, 00:35-00:40\nSpeaker B: 00:04-00:08, 00:16-00:18, 00:29-00:35"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--967872.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:11, 00:31-00:39, 00:59-01:05\nSpeaker B: 00:03-00:05, 00:12-00:32, 00:44-00:58, 01:06-01:16"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--47850.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:04-00:12, 00:20-00:28, 00:34-00:41\nSpeaker B: 00:01-00:04, 00:11-00:14, 00:28-00:34, 00:41-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1074077.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:11, 00:20-00:24, 00:28-00:42, 00:46-00:54\nSpeaker B: 00:04-00:06, 00:10-00:15, 00:24-00:28, 00:42-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--156744.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:08, 00:20-00:24, 00:28-00:31\nSpeaker B: 00:02-00:05, 00:13-00:20, 00:25-00:27, 00:31-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--776766.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:05, 00:10-00:13, 00:21-00:35, 00:47-00:58\nSpeaker B: 00:01-00:03, 00:06-00:09, 00:13-00:22, 00:39-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--487317.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:09, 00:16-00:22, 00:35-00:45, 00:51-00:53\nSpeaker B: 00:03-00:04, 00:08-00:10, 00:23-00:34, 00:45-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--545009.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:06, 00:14-00:21, 00:28-00:30, 00:42-00:44\nSpeaker B: 00:03-00:03, 00:07-00:15, 00:26-00:28, 00:31-00:41, 00:45-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--984123.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:17, 00:34-00:37\nSpeaker B: 00:04-00:09, 00:22-00:33"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--730476.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:16, 00:33-00:40\nSpeaker B: 00:05-00:10, 00:21-00:32, 00:40-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1108753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:15-00:19, 00:29-00:36, 00:45-00:50\nSpeaker B: 00:05-00:10, 00:19-00:29, 00:36-00:44, 00:50-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--888611.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:09, 00:20-00:24, 00:27-00:31, 00:37-00:42\nSpeaker B: 00:02-00:05, 00:08-00:15, 00:24-00:27, 00:32-00:36"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1180329.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:08, 00:17-00:23, 00:28-00:32\nSpeaker B: 00:01-00:04, 00:07-00:11, 00:24-00:28"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--119322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:11-00:15, 00:20-00:28, 00:33-00:37, 00:42-00:48, 00:55-00:58\nSpeaker B: 00:02-00:06, 00:16-00:20, 00:28-00:33, 00:37-00:42, 00:48-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--891432.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:09, 00:13-00:19, 00:31-00:38, 00:43-00:50, 00:58-00:59\nSpeaker B: 00:03-00:06, 00:09-00:14, 00:23-00:31, 00:38-00:43, 00:51-00:58, 00:59-01:03"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--105890.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:10-00:17, 00:30-00:35, 00:51-00:57\nSpeaker B: 00:06-00:11, 00:22-00:30, 00:35-00:51, 00:57-01:04"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--109817.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:14-00:28, 00:33-00:36\nSpeaker B: 00:06-00:10, 00:29-00:33, 00:37-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--809183.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:07-00:12, 00:14-00:22, 00:32-00:52, 01:00-01:01\nSpeaker B: 00:05-00:06, 00:13-00:15, 00:27-00:32, 00:52-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--252183.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:04-00:07, 00:09-00:16, 00:24-00:31, 00:36-00:52, 00:59-01:05, 01:13-01:17\nSpeaker B: 00:03-00:04, 00:07-00:09, 00:15-00:19, 00:31-00:36, 00:52-00:58, 01:06-01:13"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--990528.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:11-00:15, 00:29-00:33, 00:40-00:45\nSpeaker B: 00:03-00:05, 00:15-00:29, 00:34-00:39, 00:46-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--243315.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:21-00:38, 00:46-00:53, 00:58-01:02\nSpeaker B: 00:09-00:16, 00:39-00:45, 00:53-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--152172.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:13, 00:22-00:33, 00:37-00:41\nSpeaker B: 00:05-00:08, 00:12-00:18, 00:34-00:37, 00:42-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--603030.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:08, 00:10-00:14, 00:18-00:24, 00:29-00:40, 00:49-00:55\nSpeaker B: 00:04-00:05, 00:08-00:09, 00:14-00:18, 00:25-00:28, 00:40-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--476626.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:04-00:10, 00:20-00:35, 00:41-00:43\nSpeaker B: 00:03-00:04, 00:10-00:16, 00:35-00:40"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1140564.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:10, 00:18-00:29, 00:34-00:44\nSpeaker B: 00:01-00:04, 00:09-00:14, 00:29-00:33"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--781246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:11, 00:20-00:23, 00:33-00:34\nSpeaker B: 00:03-00:09, 00:16-00:20, 00:24-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--970059.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:14, 00:24-00:30\nSpeaker B: 00:03-00:08, 00:19-00:23, 00:31-00:36"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--322068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:11-00:16, 00:21-00:34\nSpeaker B: 00:01-00:06, 00:17-00:21"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--397434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:04, 00:18-00:19, 00:23-00:26, 00:31-00:35, 00:40-00:47\nSpeaker B: 00:01-00:04, 00:09-00:17, 00:19-00:22, 00:27-00:31, 00:35-00:40, 00:47-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--419304.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:11, 00:22-00:27, 00:31-00:35, 00:42-00:44, 00:49-00:51\nSpeaker B: 00:04-00:06, 00:10-00:16, 00:27-00:31, 00:36-00:41, 00:44-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--109428.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:02-00:03, 00:07-00:08, 00:12-00:15, 00:25-00:32, 00:38-00:43\nSpeaker B: 00:01-00:02, 00:04-00:06, 00:08-00:11, 00:14-00:20, 00:33-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--456190.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:13, 00:25-00:40, 00:46-00:51\nSpeaker B: 00:05-00:06, 00:13-00:20, 00:40-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--148115.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:15, 00:24-00:35, 00:44-00:49\nSpeaker B: 00:04-00:08, 00:14-00:19, 00:36-00:43, 00:50-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--524306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:14-00:22, 00:29-00:37\nSpeaker B: 00:04-00:09, 00:22-00:29, 00:37-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--169891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:15-00:24, 00:31-00:41, 00:43-00:53\nSpeaker B: 00:04-00:11, 00:25-00:31, 00:41-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1080342.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:14-00:28, 00:36-00:40\nSpeaker B: 00:03-00:09, 00:28-00:35, 00:40-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--102351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:09-00:16, 00:31-00:39\nSpeaker B: 00:03-00:10, 00:21-00:30"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--960193.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:16-00:23, 00:26-00:33\nSpeaker B: 00:07-00:15, 00:23-00:27, 00:38-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1149932.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:11-00:18, 00:23-00:30, 00:32-00:43, 00:48-01:00\nSpeaker B: 00:03-00:06, 00:19-00:22, 00:30-00:32, 00:43-00:48, 01:00-01:02"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--277060.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:19-00:23, 00:29-00:32, 00:41-00:47, 00:51-00:54\nSpeaker B: 00:11-00:15, 00:23-00:28, 00:33-00:41, 00:48-00:51, 00:55-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--233660.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:04-00:11, 00:24-00:46, 00:55-01:06\nSpeaker B: 00:00-00:03, 00:10-00:19, 00:46-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--327822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:08, 00:13-00:18, 00:29-00:35, 00:38-00:45\nSpeaker B: 00:04-00:06, 00:08-00:14, 00:24-00:29, 00:35-00:38, 00:45-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--330048.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:09-00:19, 00:32-00:39, 00:54-01:07\nSpeaker B: 00:02-00:10, 00:24-00:31, 00:39-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1090942.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:12-00:24, 00:50-01:02\nSpeaker B: 00:11-00:13, 00:29-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:08, 00:10-00:14, 00:15-00:22, 00:29-00:33, 00:35-00:38\nSpeaker B: 00:03-00:06, 00:08-00:10, 00:14-00:15, 00:22-00:24, 00:33-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--565509.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:11, 00:21-00:28, 00:34-00:40\nSpeaker B: 00:03-00:05, 00:10-00:15, 00:29-00:33, 00:41-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--115102.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:12, 00:23-00:31\nSpeaker B: 00:01-00:04, 00:11-00:18, 00:31-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1177869.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:10, 00:18-00:29\nSpeaker B: 00:02-00:05, 00:09-00:13, 00:30-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--228558.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:12-00:32, 00:42-01:02, 01:08-01:16\nSpeaker B: 00:02-00:04, 00:09-00:11, 00:32-00:37, 01:02-01:08"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--31287.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:13-00:18, 00:24-00:27, 00:30-00:34, 00:48-00:50, 00:53-00:53\nSpeaker B: 00:04-00:13, 00:18-00:23, 00:27-00:31, 00:40-00:48, 00:51-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--189460.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:12-00:25, 00:32-00:48\nSpeaker B: 00:03-00:07, 00:25-00:32, 00:49-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--927063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:11-00:16, 00:27-00:36, 00:45-00:54, 01:01-01:08\nSpeaker B: 00:07-00:11, 00:16-00:22, 00:36-00:44, 00:54-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--187120.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:12, 00:14-00:30, 00:36-00:44\nSpeaker B: 00:03-00:04, 00:13-00:13, 00:31-00:35, 00:44-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--490986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:09, 00:13-00:19, 00:28-00:50, 01:08-01:17, 01:25-01:29\nSpeaker B: 00:03-00:04, 00:10-00:12, 00:18-00:23, 00:51-01:08, 01:17-01:24"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--214477.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:08, 00:10-00:15, 00:26-00:33, 00:36-00:48, 00:54-00:57\nSpeaker B: 00:02-00:04, 00:08-00:11, 00:20-00:26, 00:34-00:35, 00:48-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--120698.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:10, 00:18-00:32, 00:37-00:43, 00:55-01:00\nSpeaker B: 00:03-00:04, 00:10-00:14, 00:32-00:37, 00:43-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--220023.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:10, 00:15-00:22, 00:34-00:59, 01:07-01:16\nSpeaker B: 00:03-00:05, 00:10-00:14, 00:22-00:29, 00:59-01:07"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--686928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:03-00:08, 00:15-00:20, 00:24-00:36, 00:40-00:44\nSpeaker B: 00:02-00:03, 00:07-00:10, 00:20-00:23, 00:37-00:39, 00:44-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--538753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:07, 00:08-00:19, 00:30-00:37, 00:59-01:08\nSpeaker B: 00:01-00:03, 00:07-00:08, 00:18-00:25, 00:37-00:58, 01:08-01:17"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--154340.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:15-00:20, 00:31-00:34\nSpeaker B: 00:07-00:14, 00:19-00:26, 00:34-00:36"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--165189.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:07, 00:22-00:24, 00:28-00:29\nSpeaker B: 00:01-00:04, 00:12-00:21, 00:25-00:27, 00:29-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--366589.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:11-00:17, 00:21-00:30, 00:37-00:49, 01:05-01:13\nSpeaker B: 00:05-00:10, 00:18-00:20, 00:29-00:32, 00:50-01:05, 01:13-01:15"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--76986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:10, 00:23-00:25, 00:29-00:31\nSpeaker B: 00:03-00:06, 00:15-00:22, 00:25-00:28"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1061857.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:09, 00:13-00:15, 00:20-00:30, 00:38-00:48, 00:55-01:04\nSpeaker B: 00:03-00:05, 00:09-00:12, 00:15-00:19, 00:29-00:33, 00:49-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--645254.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:09-00:16, 00:26-00:33, 00:43-00:52, 01:01-01:02\nSpeaker B: 00:03-00:09, 00:21-00:25, 00:34-00:42, 00:52-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--258272.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:19-00:46, 00:53-01:08\nSpeaker B: 00:08-00:14, 00:47-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1070688.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:05, 00:11-00:15, 00:24-00:28, 00:44-00:49\nSpeaker B: 00:02-00:03, 00:06-00:12, 00:20-00:23, 00:29-00:43, 00:49-01:00"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--70224.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:08, 00:17-00:20, 00:27-00:31\nSpeaker B: 00:01-00:02, 00:07-00:12, 00:20-00:27, 00:32-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--608903.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:20-00:23, 00:39-00:45, 00:54-00:57\nSpeaker B: 00:08-00:15, 00:23-00:39, 00:45-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--660884.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:16, 00:23-00:35, 00:41-00:46\nSpeaker B: 00:05-00:07, 00:22-00:23, 00:36-00:41, 00:46-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1104244.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:17, 00:33-00:46\nSpeaker B: 00:03-00:05, 00:18-00:32, 00:46-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--246434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:11-00:16, 00:29-00:36, 00:42-00:47\nSpeaker B: 00:02-00:03, 00:09-00:12, 00:21-00:29, 00:36-00:42, 00:47-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--466262.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:17-00:22\nSpeaker B: 00:07-00:12, 00:22-00:35"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--262975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:18-00:24, 00:28-00:33, 00:36-00:39, 00:46-00:52\nSpeaker B: 00:06-00:13, 00:25-00:27, 00:33-00:36, 00:39-00:46, 00:52-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--855653.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:11, 00:23-00:30\nSpeaker B: 00:03-00:07, 00:16-00:23, 00:31-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--939669.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:08, 00:15-00:20, 00:28-00:32\nSpeaker B: 00:03-00:04, 00:07-00:10, 00:20-00:27, 00:32-00:35"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--935998.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:11, 00:22-00:35\nSpeaker B: 00:05-00:08, 00:16-00:22, 00:36-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--610118.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:11, 00:18-00:20, 00:22-00:26, 00:38-00:44, 00:49-00:57\nSpeaker B: 00:01-00:04, 00:16-00:18, 00:21-00:22, 00:27-00:38, 00:45-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--903574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:09, 00:20-00:39, 00:43-00:58, 01:04-01:17\nSpeaker B: 00:01-00:03, 00:08-00:14, 00:40-00:43, 00:59-01:04, 01:17-01:20"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1112763.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:21-00:37\nSpeaker B: 00:09-00:15, 00:37-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--775640.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:13, 00:24-00:31, 00:39-00:45, 00:50-00:57\nSpeaker B: 00:04-00:06, 00:12-00:19, 00:32-00:39, 00:45-00:50, 00:57-01:09"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--531935.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:17, 00:25-00:34, 00:44-00:47, 00:52-00:58\nSpeaker B: 00:04-00:04, 00:16-00:20, 00:35-00:43, 00:47-00:52, 00:59-01:06"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--683188.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:09, 00:12-00:14, 00:22-00:28, 00:32-00:44\nSpeaker B: 00:02-00:04, 00:09-00:12, 00:13-00:17, 00:28-00:31, 00:45-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--962013.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:12, 00:21-00:31, 00:36-00:38\nSpeaker B: 00:02-00:07, 00:18-00:20, 00:32-00:36"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--708343.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:17-00:24, 00:31-00:50, 01:00-01:12\nSpeaker B: 00:06-00:12, 00:25-00:31, 00:51-01:00, 01:12-01:15"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--708040.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:14-00:40, 00:46-00:50, 00:56-01:01\nSpeaker B: 00:06-00:09, 00:40-00:45, 00:50-00:56, 01:01-01:07"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--581770.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:17-00:24, 00:31-00:34, 00:40-00:55, 01:01-01:14\nSpeaker B: 00:07-00:12, 00:24-00:30, 00:34-00:40, 00:55-01:00, 01:14-01:22"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--156618.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:07, 00:13-00:17, 00:24-00:29, 00:42-00:48, 01:05-01:10, 01:16-01:21\nSpeaker B: 00:02-00:03, 00:08-00:12, 00:17-00:25, 00:34-00:42, 00:48-01:05, 01:10-01:16, 01:21-01:29"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--166191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:12-00:21, 00:32-00:52, 01:00-01:11\nSpeaker B: 00:07-00:12, 00:20-00:27, 00:52-00:59, 01:12-01:13"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--906269.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:11, 00:20-00:26, 00:34-00:37, 00:48-00:54, 01:06-01:08\nSpeaker B: 00:04-00:10, 00:11-00:20, 00:26-00:33, 00:38-00:49, 01:00-01:05"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--201813.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:21, 00:26-00:28, 00:31-00:38, 00:43-00:49, 00:52-00:54\nSpeaker B: 00:03-00:06, 00:22-00:26, 00:28-00:31, 00:38-00:42, 00:49-00:52, 00:54-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--39376.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:08, 00:17-00:34, 00:42-00:56\nSpeaker B: 00:02-00:04, 00:13-00:16, 00:35-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--413405.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:13-00:25, 00:38-00:50, 00:56-00:59\nSpeaker B: 00:07-00:14, 00:30-00:38, 00:51-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--206574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:17-00:34, 00:43-00:52\nSpeaker B: 00:05-00:12, 00:35-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--846507.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:11-00:12, 00:14-00:17, 00:18-00:20, 00:21-00:30, 00:36-00:42\nSpeaker B: 00:05-00:06, 00:13-00:13, 00:17-00:18, 00:20-00:21, 00:30-00:35, 00:43-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1049130.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:14, 00:28-00:35, 00:39-00:41\nSpeaker B: 00:04-00:09, 00:19-00:27, 00:36-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--787791.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:14, 00:26-00:36\nSpeaker B: 00:03-00:05, 00:13-00:21, 00:37-00:40"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--447088.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:08, 00:18-00:21, 00:31-00:36, 00:40-00:41\nSpeaker B: 00:02-00:03, 00:07-00:13, 00:22-00:30, 00:36-00:39, 00:42-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--296467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:10-00:15, 00:20-00:27, 00:41-00:47\nSpeaker B: 00:04-00:09, 00:15-00:21, 00:32-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--197137.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:10-00:17, 00:27-00:39, 00:50-01:01\nSpeaker B: 00:07-00:10, 00:17-00:22, 00:40-00:49, 01:01-01:11"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--40901.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:23-00:30, 00:52-00:59\nSpeaker B: 00:13-00:23, 00:36-00:51, 01:00-01:08"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1051089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:09, 00:17-00:23, 00:41-00:49, 01:04-01:09, 01:19-01:24\nSpeaker B: 00:03-00:04, 00:10-00:18, 00:29-00:41, 00:49-01:03, 01:09-01:18"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1113674.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:07, 00:15-00:20, 00:31-00:35\nSpeaker B: 00:01-00:02, 00:06-00:09, 00:20-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--20810.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:13-00:22, 00:32-00:39, 00:45-00:47\nSpeaker B: 00:03-00:08, 00:23-00:31, 00:39-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--221358.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:11, 00:20-00:23, 00:32-00:35, 00:39-00:43, 00:46-00:50\nSpeaker B: 00:02-00:07, 00:16-00:20, 00:23-00:32, 00:35-00:39, 00:43-00:45, 00:51-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--541347.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:05, 00:09-00:16, 00:28-00:33, 00:39-00:42\nSpeaker B: 00:01-00:04, 00:06-00:11, 00:21-00:27, 00:34-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--415948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:12, 00:20-00:43, 00:48-01:02\nSpeaker B: 00:02-00:05, 00:11-00:16, 00:43-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--888565.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:15-00:20, 00:26-00:29\nSpeaker B: 00:03-00:10, 00:20-00:26, 00:30-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--437951.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:12-00:20, 00:25-00:38\nSpeaker B: 00:05-00:07, 00:21-00:24, 00:38-00:40"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--334902.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:07-00:18, 00:25-00:31, 00:36-00:47, 00:52-00:56, 01:00-01:01\nSpeaker B: 00:01-00:07, 00:18-00:20, 00:31-00:36, 00:47-00:51, 00:57-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--769615.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:08, 00:17-00:21, 00:29-00:33, 00:40-00:43, 00:47-00:51\nSpeaker B: 00:03-00:04, 00:07-00:12, 00:21-00:29, 00:33-00:39, 00:43-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--193134.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:16-00:25, 00:27-00:36, 00:41-00:47\nSpeaker B: 00:01-00:04, 00:07-00:10, 00:25-00:26, 00:36-00:40"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--218430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:09-00:17, 00:29-00:41, 00:47-01:05, 01:13-01:23\nSpeaker B: 00:03-00:09, 00:17-00:23, 00:41-00:47, 01:06-01:13"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1031152.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:14, 00:22-00:33, 00:51-00:56, 01:09-01:12\nSpeaker B: 00:05-00:08, 00:13-00:17, 00:33-00:50, 00:57-01:09, 01:13-01:16"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--636981.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:10-00:15, 00:19-00:25, 00:29-00:34\nSpeaker B: 00:04-00:05, 00:15-00:19, 00:25-00:28"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--416516.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:13, 00:23-00:32, 00:34-00:45\nSpeaker B: 00:03-00:05, 00:12-00:17, 00:32-00:34, 00:45-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--564472.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:18-00:25, 00:30-00:37, 00:42-00:49, 00:56-00:57\nSpeaker B: 00:06-00:13, 00:26-00:29, 00:37-00:41, 00:50-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--4955.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:14, 00:27-00:30, 00:34-00:38\nSpeaker B: 00:03-00:07, 00:19-00:26, 00:31-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--254497.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:21-00:28, 00:33-00:43, 00:48-00:55, 00:58-01:07\nSpeaker B: 00:11-00:16, 00:29-00:33, 00:43-00:48, 00:55-00:58, 01:07-01:09"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--285043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:07, 00:19-00:27\nSpeaker B: 00:04-00:07, 00:13-00:18, 00:28-00:30"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--329396.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:14-00:19, 00:34-00:47\nSpeaker B: 00:06-00:15, 00:24-00:34, 00:48-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1007416.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:16-00:19, 00:23-00:25, 00:38-00:44, 01:03-01:07\nSpeaker B: 00:05-00:11, 00:20-00:23, 00:26-00:37, 00:45-01:03"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--776571.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:08-00:16, 00:35-00:46\nSpeaker B: 00:01-00:09, 00:21-00:35, 00:46-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--616846.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:11-00:13, 00:17-00:22, 00:41-00:45, 00:58-01:04\nSpeaker B: 00:05-00:11, 00:14-00:18, 00:27-00:40, 00:45-00:58, 01:05-01:20"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--484021.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:09, 00:15-00:24, 00:30-00:35, 00:39-00:43\nSpeaker B: 00:02-00:05, 00:09-00:11, 00:25-00:30, 00:35-00:39, 00:43-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--453454.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:12, 00:23-00:24, 00:28-00:31\nSpeaker B: 00:03-00:08, 00:17-00:22, 00:25-00:28"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--843615.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:12, 00:22-00:29, 00:33-00:37\nSpeaker B: 00:03-00:05, 00:11-00:17, 00:30-00:32, 00:38-00:40"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--14913.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:09, 00:11-00:19, 00:32-00:43, 00:50-00:56\nSpeaker B: 00:04-00:05, 00:10-00:11, 00:18-00:27, 00:44-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1144076.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:17-00:21, 00:24-00:26, 00:28-00:42, 00:47-00:55, 00:59-01:04\nSpeaker B: 00:01-00:04, 00:07-00:12, 00:21-00:24, 00:26-00:28, 00:42-00:47, 00:55-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--89079.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:03-00:12, 00:20-00:21, 00:24-00:27, 00:43-00:51, 00:53-00:54\nSpeaker B: 00:02-00:03, 00:12-00:15, 00:22-00:24, 00:27-00:42, 00:51-00:52, 00:54-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--33171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:18-00:27, 00:32-00:36, 00:40-00:47, 00:56-01:01, 01:09-01:13, 01:18-01:21\nSpeaker B: 00:05-00:13, 00:27-00:32, 00:36-00:39, 00:47-00:55, 01:02-01:09, 01:14-01:17, 01:22-01:23"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--585968.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:07, 00:17-00:18, 00:25-00:30\nSpeaker B: 00:02-00:05, 00:13-00:16, 00:18-00:25, 00:30-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--387024.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:13, 00:23-00:28, 00:32-00:38\nSpeaker B: 00:04-00:07, 00:13-00:18, 00:28-00:31, 00:38-00:40"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--952835.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:12, 00:19-00:40, 00:46-00:58\nSpeaker B: 00:03-00:06, 00:11-00:14, 00:40-00:45, 00:59-01:02"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--417260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:08, 00:16-00:22, 00:29-00:35\nSpeaker B: 00:03-00:03, 00:07-00:12, 00:22-00:28, 00:35-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--22719.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:12-00:22, 00:30-00:37, 00:41-00:44, 00:51-01:01, 01:13-01:16\nSpeaker B: 00:06-00:12, 00:23-00:30, 00:37-00:41, 00:45-00:52, 01:07-01:12"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--421778.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:09, 00:20-00:27\nSpeaker B: 00:03-00:05, 00:14-00:20, 00:27-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--509788.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:11-00:25, 00:34-00:43, 00:53-00:59, 01:05-01:06\nSpeaker B: 00:08-00:11, 00:26-00:34, 00:42-00:48, 01:00-01:04"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--368483.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:17-00:33, 00:39-00:49\nSpeaker B: 00:05-00:12, 00:33-00:39, 00:49-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--471036.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:12, 00:24-00:40, 00:47-00:53\nSpeaker B: 00:02-00:07, 00:18-00:24, 00:40-00:46, 00:54-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--297496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:13, 00:25-00:35, 00:42-00:49\nSpeaker B: 00:02-00:06, 00:19-00:25, 00:35-00:42, 00:50-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1020192.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:11-00:15, 00:19-00:21, 00:23-00:27, 00:34-00:39, 00:43-00:48\nSpeaker B: 00:04-00:06, 00:16-00:18, 00:21-00:23, 00:28-00:33, 00:40-00:43, 00:49-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--791383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:19-00:31, 00:36-00:41\nSpeaker B: 00:02-00:05, 00:13-00:19, 00:31-00:35"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1180469.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:12, 00:15-00:22, 00:31-00:41\nSpeaker B: 00:05-00:08, 00:12-00:14, 00:21-00:27, 00:42-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--690452.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:09, 00:12-00:20, 00:34-00:44, 00:47-00:56, 01:03-01:09, 01:15-01:22\nSpeaker B: 00:04-00:04, 00:09-00:13, 00:26-00:33, 00:45-00:47, 00:56-01:02, 01:09-01:14, 01:22-01:27"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1047480.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:17-00:29, 00:35-00:38, 00:43-00:45\nSpeaker B: 00:07-00:12, 00:30-00:34, 00:39-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--29858.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:24-00:40, 00:54-01:01, 01:05-01:07\nSpeaker B: 00:11-00:19, 00:40-00:53, 01:02-01:04, 01:07-01:09"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--341205.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:04-00:07, 00:08-00:10, 00:13-00:25, 00:32-00:45, 00:51-01:00\nSpeaker B: 00:03-00:03, 00:07-00:08, 00:10-00:14, 00:30-00:31, 00:45-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--861085.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:13, 00:27-00:39, 00:45-00:54\nSpeaker B: 00:03-00:04, 00:12-00:22, 00:39-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--716169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:10-00:19, 00:26-00:33\nSpeaker B: 00:04-00:10, 00:20-00:27, 00:38-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--121129.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:10, 00:19-00:41, 00:52-00:58\nSpeaker B: 00:04-00:06, 00:09-00:14, 00:42-00:51, 00:59-01:06"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--940934.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:07, 00:16-00:18, 00:27-00:32\nSpeaker B: 00:03-00:05, 00:06-00:11, 00:18-00:27, 00:33-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--771154.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:11, 00:17-00:20, 00:24-00:27, 00:35-00:41, 00:49-01:00\nSpeaker B: 00:02-00:06, 00:16-00:17, 00:20-00:24, 00:28-00:34, 00:42-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--761001.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:06, 00:17-00:23, 00:26-00:32\nSpeaker B: 00:01-00:03, 00:11-00:17, 00:23-00:26"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--213851.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:28-00:43\nSpeaker B: 00:11-00:23, 00:43-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--631363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:13, 00:25-00:35, 00:41-00:51\nSpeaker B: 00:02-00:07, 00:18-00:24, 00:35-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--735517.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:09, 00:19-00:22, 00:25-00:40, 00:46-00:54, 00:56-01:07\nSpeaker B: 00:03-00:05, 00:08-00:13, 00:22-00:25, 00:40-00:45, 00:55-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--159893.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:14-00:25, 00:54-01:02\nSpeaker B: 00:05-00:15, 00:31-00:53, 01:02-01:06"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--562877.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:12, 00:21-00:34, 00:39-00:44, 00:50-00:54\nSpeaker B: 00:02-00:04, 00:11-00:16, 00:34-00:38, 00:45-00:49, 00:54-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--717045.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:09, 00:17-00:27, 00:31-00:42, 00:48-00:54\nSpeaker B: 00:02-00:04, 00:08-00:12, 00:27-00:31, 00:43-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--144310.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:06, 00:12-00:16, 00:23-00:26, 00:40-00:43, 00:52-00:57\nSpeaker B: 00:02-00:02, 00:06-00:13, 00:21-00:23, 00:27-00:39, 00:43-00:51, 00:58-01:02"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--442672.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:17, 00:28-00:36, 00:41-00:44\nSpeaker B: 00:04-00:09, 00:16-00:23, 00:36-00:40, 00:44-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--857144.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:10, 00:22-00:27, 00:29-00:34\nSpeaker B: 00:02-00:05, 00:15-00:22, 00:27-00:29, 00:34-00:36"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--848051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:09-00:14, 00:34-00:40\nSpeaker B: 00:02-00:09, 00:20-00:33, 00:41-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--813478.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:18-00:32, 00:42-01:01\nSpeaker B: 00:03-00:19, 00:37-00:42, 01:01-01:17"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--571155.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:09-00:17, 00:26-00:32, 00:37-00:46, 00:52-00:58, 01:02-01:08\nSpeaker B: 00:03-00:09, 00:16-00:20, 00:32-00:37, 00:47-00:52, 00:58-01:02, 01:09-01:10"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--790538.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:16-00:29, 00:36-00:55\nSpeaker B: 00:05-00:10, 00:30-00:35, 00:55-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--951487.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:16, 00:20-00:31, 00:34-00:36\nSpeaker B: 00:03-00:04, 00:16-00:20, 00:31-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--171463.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:13, 00:21-00:26\nSpeaker B: 00:03-00:06, 00:13-00:16, 00:26-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--51285.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:13-00:20, 00:26-00:30, 00:35-00:42, 00:46-00:50\nSpeaker B: 00:03-00:08, 00:20-00:25, 00:30-00:35, 00:43-00:46, 00:50-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1050100.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:05, 00:07-00:17, 00:27-00:41, 00:46-00:51, 01:02-01:04, 01:12-01:16\nSpeaker B: 00:01-00:03, 00:06-00:07, 00:16-00:23, 00:41-00:46, 00:51-01:01, 01:05-01:12, 01:17-01:23"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--98947.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:09, 00:17-00:22, 00:29-00:31\nSpeaker B: 00:04-00:07, 00:14-00:17, 00:22-00:28, 00:32-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--908191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:19-00:41, 00:46-00:51, 00:54-00:59\nSpeaker B: 00:07-00:14, 00:41-00:45, 00:52-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--489920.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:08, 00:14-00:19, 00:30-00:34, 00:41-00:59, 01:05-01:16, 01:23-01:27\nSpeaker B: 00:02-00:04, 00:09-00:13, 00:19-00:25, 00:35-00:41, 00:59-01:04, 01:17-01:23"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1050248.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:06, 00:09-00:14, 00:22-00:36, 00:45-00:52\nSpeaker B: 00:03-00:04, 00:06-00:08, 00:13-00:17, 00:37-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--954404.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:06, 00:08-00:12, 00:21-00:34, 00:39-00:44, 00:47-00:50\nSpeaker B: 00:02-00:05, 00:07-00:08, 00:16-00:20, 00:35-00:39, 00:44-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--834526.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:21-00:38\nSpeaker B: 00:07-00:16, 00:38-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--202914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:15, 00:33-00:42\nSpeaker B: 00:02-00:07, 00:20-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--477747.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:10-00:15, 00:35-00:44, 00:52-00:54\nSpeaker B: 00:03-00:11, 00:20-00:35, 00:45-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--953260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:02-00:07, 00:12-00:17, 00:35-00:40, 00:46-00:49\nSpeaker B: 00:00-00:02, 00:08-00:12, 00:22-00:34, 00:40-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--923496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:04-00:09, 00:19-00:21, 00:26-00:28, 00:31-00:35, 00:41-00:43\nSpeaker B: 00:03-00:04, 00:08-00:14, 00:22-00:25, 00:28-00:31, 00:36-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1084325.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:12, 00:29-00:33\nSpeaker B: 00:02-00:06, 00:17-00:29, 00:34-00:36"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--726133.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:16-00:24, 00:38-00:43, 00:50-00:57\nSpeaker B: 00:05-00:12, 00:24-00:38, 00:43-00:49, 00:57-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--840566.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:13-00:18, 00:25-00:30, 00:37-00:39\nSpeaker B: 00:07-00:12, 00:19-00:25, 00:29-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--84371.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:07, 00:11-00:16, 00:24-00:28, 00:31-00:33, 00:34-00:40, 00:45-00:50\nSpeaker B: 00:02-00:04, 00:08-00:12, 00:21-00:24, 00:28-00:30, 00:33-00:34, 00:41-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--316553.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:10, 00:17-00:33, 00:40-00:45\nSpeaker B: 00:03-00:04, 00:09-00:13, 00:34-00:40"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--287169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:08-00:10, 00:16-00:24, 00:36-00:41, 00:55-01:01\nSpeaker B: 00:01-00:07, 00:10-00:17, 00:30-00:36, 00:41-00:54, 01:01-01:05"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--933257.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:12, 00:18-00:29, 00:44-00:47\nSpeaker B: 00:05-00:07, 00:12-00:19, 00:34-00:44, 00:47-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--532492.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:09-00:18, 00:29-00:36, 00:41-00:51\nSpeaker B: 00:06-00:10, 00:23-00:29, 00:37-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--833014.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:14-00:20, 00:28-00:41, 00:55-01:01, 01:08-01:16, 01:21-01:25\nSpeaker B: 00:03-00:09, 00:20-00:28, 00:41-00:54, 01:02-01:07, 01:16-01:20"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--123906.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:15, 00:23-00:29, 00:30-00:34\nSpeaker B: 00:02-00:05, 00:19-00:23, 00:29-00:30"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--369090.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:16, 00:26-00:31, 00:50-00:54\nSpeaker B: 00:02-00:03, 00:16-00:20, 00:31-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--617278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:18-00:23, 00:29-00:33, 00:35-00:40, 00:44-00:48\nSpeaker B: 00:06-00:13, 00:23-00:29, 00:33-00:34, 00:40-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--842885.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:09, 00:15-00:21, 00:32-00:37, 00:59-01:04\nSpeaker B: 00:03-00:05, 00:10-00:14, 00:20-00:27, 00:38-00:59, 01:04-01:13"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--8820.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:03-00:07, 00:09-00:18, 00:29-00:33, 00:38-00:41\nSpeaker B: 00:02-00:03, 00:07-00:08, 00:17-00:24, 00:34-00:37, 00:41-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--538365.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:13, 00:22-00:25, 00:30-00:35, 00:42-00:52\nSpeaker B: 00:05-00:06, 00:12-00:17, 00:26-00:29, 00:35-00:41, 00:52-01:02"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--420707.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:21-00:54, 01:03-01:11\nSpeaker B: 00:09-00:16, 00:54-01:03"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--15103.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:10-00:22, 00:33-00:40\nSpeaker B: 00:01-00:03, 00:09-00:09, 00:21-00:28, 00:40-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--869501.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:19-00:25, 00:36-00:42, 00:48-00:56\nSpeaker B: 00:07-00:14, 00:26-00:36, 00:42-00:48, 00:56-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--126878.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:12, 00:22-00:30, 00:35-00:41, 00:46-00:52, 00:59-01:02\nSpeaker B: 00:04-00:05, 00:11-00:17, 00:30-00:34, 00:42-00:45, 00:52-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--860576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:11-00:29, 00:47-01:03\nSpeaker B: 00:07-00:11, 00:30-00:48, 01:09-01:14"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--168398.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:15, 00:25-00:29, 00:43-00:48\nSpeaker B: 00:04-00:08, 00:20-00:24, 00:29-00:42, 00:48-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--836740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:17, 00:25-00:38, 00:43-00:56\nSpeaker B: 00:03-00:06, 00:22-00:24, 00:38-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1130331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:09, 00:19-00:26, 00:29-00:31, 00:34-00:47, 00:53-01:01, 01:05-01:14\nSpeaker B: 00:01-00:04, 00:08-00:14, 00:26-00:28, 00:32-00:33, 00:47-00:53, 01:01-01:04, 01:15-01:19"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--535368.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:08, 00:12-00:15, 00:22-00:44, 00:56-01:02\nSpeaker B: 00:03-00:07, 00:09-00:12, 00:16-00:22, 00:44-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--810606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:14-00:23\nSpeaker B: 00:03-00:09, 00:24-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--977664.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:12-00:19, 00:41-00:50, 00:56-01:02\nSpeaker B: 00:04-00:13, 00:25-00:41, 00:50-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--277322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:15-00:25, 00:27-00:33\nSpeaker B: 00:06-00:10, 00:26-00:27, 00:33-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1017701.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:12-00:20, 00:31-00:35, 00:43-00:50, 00:57-01:03\nSpeaker B: 00:02-00:07, 00:20-00:31, 00:36-00:43, 00:51-00:57, 01:03-01:05"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1076439.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:15-00:22, 00:32-00:37\nSpeaker B: 00:04-00:10, 00:22-00:31, 00:38-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--126313.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:24-00:28, 00:33-00:35\nSpeaker B: 00:02-00:05, 00:15-00:24, 00:29-00:33"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--784062.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:11, 00:22-00:36\nSpeaker B: 00:03-00:07, 00:11-00:17, 00:37-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--662948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:07-00:18, 00:28-00:36, 00:51-01:05, 01:15-01:22\nSpeaker B: 00:05-00:06, 00:17-00:23, 00:37-00:50, 01:05-01:15"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--741600.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:13, 00:24-00:28, 00:35-00:45, 00:51-00:54\nSpeaker B: 00:03-00:07, 00:19-00:23, 00:29-00:35, 00:45-00:51, 00:55-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--719833.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:09, 00:16-00:21, 00:37-00:38, 00:41-00:47, 00:53-01:06, 01:11-01:15\nSpeaker B: 00:04-00:07, 00:10-00:17, 00:26-00:36, 00:38-00:40, 00:47-00:53, 01:06-01:11"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--571413.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:11, 00:20-00:22, 00:24-00:30, 00:36-00:40\nSpeaker B: 00:04-00:08, 00:16-00:20, 00:23-00:24, 00:30-00:36, 00:40-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--556475.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:10, 00:23-00:26, 00:35-00:38\nSpeaker B: 00:03-00:05, 00:16-00:23, 00:27-00:34, 00:39-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--910635.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:12-00:20, 00:27-00:33, 00:37-00:40\nSpeaker B: 00:04-00:07, 00:21-00:26, 00:33-00:36"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--125527.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:12-00:14, 00:23-00:28\nSpeaker B: 00:04-00:06, 00:15-00:23, 00:29-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1054099.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:09, 00:19-00:30, 00:43-00:56\nSpeaker B: 00:03-00:04, 00:08-00:14, 00:30-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--770919.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:11, 00:30-00:33, 00:43-00:45, 00:50-00:53, 00:57-01:00\nSpeaker B: 00:04-00:08, 00:16-00:30, 00:34-00:43, 00:46-00:49, 00:54-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--435477.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:07, 00:12-00:18, 00:27-00:34, 00:43-00:59, 01:05-01:14\nSpeaker B: 00:03-00:03, 00:07-00:13, 00:23-00:27, 00:34-00:43, 00:59-01:05, 01:14-01:15"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--906708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:23-00:29, 00:38-00:49\nSpeaker B: 00:10-00:18, 00:30-00:38, 00:49-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--729972.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:04-00:08, 00:15-00:19, 00:35-00:40\nSpeaker B: 00:03-00:04, 00:06-00:10, 00:19-00:35, 00:40-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--928982.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:10, 00:17-00:24, 00:39-00:49\nSpeaker B: 00:03-00:05, 00:10-00:17, 00:29-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--114598.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:25-00:30, 00:35-00:40, 00:54-00:56\nSpeaker B: 00:12-00:20, 00:30-00:35, 00:41-00:54, 00:56-01:00"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--535550.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:10, 00:13-00:18, 00:27-00:37, 00:41-00:54, 00:59-01:08\nSpeaker B: 00:02-00:06, 00:11-00:12, 00:17-00:23, 00:37-00:41, 00:54-00:58, 01:08-01:11"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--526216.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:14, 00:17-00:26, 00:35-00:47, 00:47-00:48, 00:52-00:58, 01:07-01:14\nSpeaker B: 00:03-00:05, 00:14-00:17, 00:25-00:30, 00:49-00:51, 00:59-01:06, 01:14-01:17"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--412246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:10, 00:12-00:20, 00:32-00:34, 00:42-00:46\nSpeaker B: 00:01-00:04, 00:11-00:13, 00:25-00:32, 00:34-00:41, 00:47-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--203528.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:10-00:17, 00:32-00:35, 00:46-00:50\nSpeaker B: 00:06-00:11, 00:21-00:31, 00:35-00:46, 00:51-01:02"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--180962.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:18, 00:29-00:38, 01:00-01:08\nSpeaker B: 00:03-00:06, 00:17-00:24, 00:38-01:00, 01:08-01:11"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--500115.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:14-00:18, 00:22-00:33, 00:38-00:45\nSpeaker B: 00:05-00:09, 00:18-00:22, 00:34-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--82370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:11-00:20, 00:35-00:37, 00:51-00:54\nSpeaker B: 00:03-00:12, 00:25-00:35, 00:37-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--994948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:22-00:27, 00:40-00:47\nSpeaker B: 00:02-00:05, 00:14-00:22, 00:28-00:40, 00:47-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--346041.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:28, 00:37-00:45\nSpeaker B: 00:03-00:07, 00:33-00:36, 00:46-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--289733.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:18, 00:25-00:36, 00:36-00:40, 00:43-00:47, 00:54-01:01\nSpeaker B: 00:06-00:08, 00:17-00:21, 00:41-00:42, 00:48-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--352805.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:14-00:23, 00:30-00:37, 00:43-00:48, 00:56-01:07\nSpeaker B: 00:03-00:10, 00:24-00:30, 00:37-00:43, 00:49-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--667784.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:13-00:18, 00:28-00:49, 00:57-01:08\nSpeaker B: 00:03-00:08, 00:19-00:28, 00:50-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--956648.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:13-00:20, 00:34-00:42, 00:47-00:49, 00:52-00:57, 01:04-01:09\nSpeaker B: 00:03-00:14, 00:25-00:34, 00:43-00:47, 00:49-00:52, 00:57-01:04, 01:09-01:26"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--413649.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:26-00:45, 00:55-01:18, 01:24-01:27\nSpeaker B: 00:15-00:21, 00:45-00:55, 01:18-01:24"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--872171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:12-00:19, 00:27-00:32, 00:40-00:46\nSpeaker B: 00:04-00:12, 00:19-00:22, 00:33-00:39, 00:47-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--465565.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:13, 00:27-00:40\nSpeaker B: 00:04-00:10, 00:19-00:27, 00:40-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--633173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:11, 00:23-00:27, 00:33-00:36, 00:41-00:46, 00:52-00:56\nSpeaker B: 00:03-00:07, 00:16-00:22, 00:28-00:33, 00:37-00:40, 00:46-00:51, 00:57-01:00"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--583204.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:14, 00:32-00:38\nSpeaker B: 00:04-00:08, 00:19-00:32, 00:38-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--672051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:14-00:30, 00:41-00:48, 00:57-01:01, 01:09-01:14\nSpeaker B: 00:04-00:09, 00:31-00:40, 00:49-00:57, 01:01-01:09"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--218634.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:08, 00:11-00:17, 00:31-00:39, 00:44-00:49\nSpeaker B: 00:04-00:06, 00:09-00:12, 00:22-00:30, 00:39-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--992151.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:20, 00:33-00:44, 00:47-00:56, 01:04-01:07\nSpeaker B: 00:01-00:05, 00:19-00:28, 00:44-00:47, 00:57-01:04"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1076109.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:12-00:18, 00:29-00:37, 00:46-00:54, 00:58-01:04, 01:07-01:16, 01:24-01:28\nSpeaker B: 00:10-00:11, 00:17-00:24, 00:37-00:45, 00:54-00:57, 01:04-01:06, 01:17-01:24"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--419812.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:12, 00:17-00:25, 00:38-00:44\nSpeaker B: 00:04-00:06, 00:12-00:18, 00:30-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--734147.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:11, 00:13-00:17, 00:28-00:33\nSpeaker B: 00:01-00:05, 00:12-00:12, 00:18-00:29, 00:38-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--967919.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:12-00:22, 00:36-00:43\nSpeaker B: 00:03-00:08, 00:22-00:36, 00:44-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--32633.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:09, 00:17-00:24, 00:29-00:33\nSpeaker B: 00:03-00:05, 00:07-00:12, 00:24-00:29, 00:34-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--634390.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:14, 00:15-00:16, 00:29-00:31, 00:39-00:42, 00:46-00:48\nSpeaker B: 00:03-00:06, 00:14-00:16, 00:21-00:28, 00:32-00:39, 00:42-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--986089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:10, 00:19-00:31, 00:38-00:44, 00:50-00:51\nSpeaker B: 00:02-00:03, 00:09-00:15, 00:31-00:38, 00:44-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1185164.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:02-00:09, 00:22-00:27, 00:30-00:36, 00:38-00:41\nSpeaker B: 00:02-00:03, 00:15-00:21, 00:27-00:29, 00:36-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--375003.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:15, 00:31-00:35, 00:41-00:45\nSpeaker B: 00:03-00:10, 00:20-00:30, 00:36-00:40, 00:46-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--921984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:16-00:22, 00:29-00:33, 00:43-00:47, 00:54-00:57\nSpeaker B: 00:04-00:15, 00:22-00:28, 00:33-00:38, 00:47-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--56287.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:12-00:14, 00:39-00:42, 00:54-00:56\nSpeaker B: 00:04-00:12, 00:19-00:38, 00:42-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--69960.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:12, 00:22-00:27, 00:34-00:39\nSpeaker B: 00:02-00:08, 00:17-00:21, 00:27-00:33, 00:39-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--188315.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:09, 00:16-00:18, 00:21-00:21, 00:26-00:33, 00:37-00:44\nSpeaker B: 00:02-00:05, 00:14-00:15, 00:19-00:20, 00:22-00:26, 00:33-00:37, 00:45-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--179580.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:07-00:12, 00:27-00:32, 00:41-00:42, 01:00-01:05\nSpeaker B: 00:02-00:06, 00:11-00:21, 00:32-00:41, 00:42-01:00, 01:06-01:18"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--265976.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:11, 00:19-00:37, 00:42-00:48\nSpeaker B: 00:01-00:03, 00:10-00:14, 00:38-00:42, 00:48-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--596349.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:15-00:21\nSpeaker B: 00:10-00:16, 00:26-00:35"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--218746.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:15, 00:27-00:34, 00:42-00:49\nSpeaker B: 00:04-00:08, 00:19-00:26, 00:35-00:42, 00:49-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--903126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:21-00:40, 00:52-01:05, 01:09-01:18\nSpeaker B: 00:06-00:16, 00:40-00:51, 01:05-01:09, 01:18-01:21"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--627283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:11-00:15, 00:40-00:45, 00:53-00:57\nSpeaker B: 00:06-00:12, 00:21-00:39, 00:46-00:53, 00:57-01:03"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--251891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:07, 00:18-00:34\nSpeaker B: 00:02-00:06, 00:12-00:18, 00:34-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1182226.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:21-00:50, 01:00-01:08\nSpeaker B: 00:09-00:16, 00:50-01:00"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--994009.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:09, 00:15-00:21, 00:35-00:42\nSpeaker B: 00:04-00:07, 00:10-00:15, 00:26-00:35, 00:42-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1013581.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:12-00:16, 00:22-00:29, 00:36-00:43\nSpeaker B: 00:03-00:08, 00:17-00:21, 00:30-00:35"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--475793.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:10-00:19, 00:29-00:38, 00:51-00:54\nSpeaker B: 00:07-00:09, 00:18-00:25, 00:38-00:51, 00:55-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--746047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:21-00:27, 00:39-00:52\nSpeaker B: 00:10-00:16, 00:28-00:39, 00:52-01:03"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--984679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:20-00:23, 00:35-00:39, 00:44-00:49\nSpeaker B: 00:06-00:15, 00:23-00:34, 00:39-00:44, 00:49-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--715956.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:16, 00:27-00:38, 00:43-00:50\nSpeaker B: 00:03-00:07, 00:16-00:22, 00:39-00:43, 00:51-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--784738.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:09, 00:17-00:22, 00:25-00:37, 00:44-00:49\nSpeaker B: 00:03-00:05, 00:08-00:13, 00:22-00:25, 00:37-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--637306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:06, 00:12-00:19, 00:30-00:55, 01:01-01:09\nSpeaker B: 00:02-00:03, 00:07-00:13, 00:25-00:29, 00:55-01:00"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1007617.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:09-00:19, 00:27-00:39, 00:45-00:54\nSpeaker B: 00:07-00:09, 00:18-00:22, 00:39-00:44, 00:55-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--698246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:14, 00:22-00:26, 00:30-00:32\nSpeaker B: 00:04-00:08, 00:19-00:22, 00:27-00:30, 00:33-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--828152.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:09, 00:11-00:17, 00:25-00:39, 00:45-00:47, 00:51-00:55\nSpeaker B: 00:05-00:07, 00:09-00:11, 00:16-00:21, 00:40-00:44, 00:48-00:51, 00:55-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--211161.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:21-00:38, 00:44-00:54\nSpeaker B: 00:13-00:16, 00:39-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1131334.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:22-00:41\nSpeaker B: 00:10-00:16, 00:42-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--977434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:22, 00:32-00:39, 00:47-00:56\nSpeaker B: 00:04-00:10, 00:27-00:31, 00:39-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--542071.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:13, 00:28-00:36\nSpeaker B: 00:04-00:08, 00:18-00:28, 00:37-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--748043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:07, 00:08-00:16, 00:25-00:31, 00:43-00:49, 00:55-01:01, 01:11-01:15\nSpeaker B: 00:02-00:04, 00:07-00:08, 00:15-00:20, 00:31-00:42, 00:50-00:54, 01:02-01:11, 01:16-01:22"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--310941.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:09, 00:20-00:27, 00:31-00:36, 00:40-00:48, 00:54-01:00\nSpeaker B: 00:02-00:05, 00:08-00:15, 00:27-00:30, 00:37-00:40, 00:48-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--463700.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:15, 00:24-00:38\nSpeaker B: 00:04-00:08, 00:14-00:19, 00:39-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--226853.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:15-00:20, 00:26-00:36, 00:41-00:50, 00:55-01:06, 01:15-01:19\nSpeaker B: 00:01-00:04, 00:07-00:10, 00:20-00:25, 00:36-00:40, 00:50-00:55, 01:07-01:14"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1087723.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:14, 00:27-00:45, 00:55-01:00\nSpeaker B: 00:03-00:03, 00:13-00:22, 00:45-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--677647.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:02-00:04, 00:06-00:08, 00:10-00:15, 00:29-00:33, 00:42-00:43\nSpeaker B: 00:01-00:02, 00:04-00:05, 00:08-00:11, 00:20-00:29, 00:33-00:41, 00:44-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--876642.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:15, 00:27-00:34, 00:47-00:54, 00:59-01:04\nSpeaker B: 00:06-00:09, 00:21-00:26, 00:35-00:47, 00:54-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--617839.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:15, 00:27-00:34, 00:42-00:48, 00:56-00:58\nSpeaker B: 00:04-00:08, 00:20-00:26, 00:34-00:42, 00:48-00:55, 00:58-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--241883.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:05, 00:21-00:23, 00:29-00:35\nSpeaker B: 00:02-00:04, 00:10-00:21, 00:24-00:29, 00:36-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--925277.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:14, 00:24-00:46, 00:55-01:08\nSpeaker B: 00:02-00:04, 00:13-00:19, 00:47-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--514225.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:14-00:27, 00:38-00:41, 00:49-00:54\nSpeaker B: 00:03-00:09, 00:28-00:38, 00:42-00:49, 00:55-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--714054.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:09, 00:11-00:18, 00:27-00:33, 00:38-00:52, 00:59-01:06\nSpeaker B: 00:03-00:05, 00:09-00:10, 00:17-00:21, 00:34-00:38, 00:53-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--153526.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:08, 00:14-00:21, 00:35-00:46\nSpeaker B: 00:02-00:04, 00:09-00:16, 00:26-00:35"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--932676.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:13, 00:23-00:36, 00:44-00:46\nSpeaker B: 00:03-00:05, 00:12-00:18, 00:37-00:44, 00:46-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--185307.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:09-00:12, 00:21-00:25, 00:32-00:45, 00:51-00:58, 01:04-01:09, 01:18-01:21\nSpeaker B: 00:06-00:09, 00:11-00:15, 00:25-00:31, 00:46-00:50, 00:58-01:04, 01:09-01:17, 01:22-01:23"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--150383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:10, 00:19-00:40\nSpeaker B: 00:04-00:06, 00:09-00:13, 00:40-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--489519.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:10-00:18, 00:30-00:36\nSpeaker B: 00:05-00:10, 00:23-00:29, 00:37-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--258235.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:14, 00:21-00:33, 00:39-00:43\nSpeaker B: 00:05-00:10, 00:19-00:20, 00:34-00:38, 00:44-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1166623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:11-00:19, 00:29-00:38, 00:44-00:47\nSpeaker B: 00:05-00:11, 00:25-00:28, 00:38-00:43, 00:48-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--104984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:16-00:29, 00:38-00:40\nSpeaker B: 00:08-00:11, 00:30-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--389182.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:17-00:20, 00:23-00:31, 00:36-00:40\nSpeaker B: 00:01-00:04, 00:08-00:12, 00:20-00:23, 00:32-00:35, 00:41-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--730163.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:08, 00:18-00:22, 00:27-00:29, 00:33-00:35\nSpeaker B: 00:01-00:03, 00:08-00:13, 00:23-00:27, 00:30-00:33, 00:35-00:36"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--115322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:09, 00:14-00:19, 00:31-00:36\nSpeaker B: 00:03-00:05, 00:09-00:14, 00:24-00:31, 00:37-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--43736.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:11, 00:25-00:45, 00:56-00:59, 01:04-01:05\nSpeaker B: 00:03-00:05, 00:10-00:21, 00:45-00:55, 01:00-01:04"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--679971.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:13-00:21, 00:31-00:49\nSpeaker B: 00:08-00:12, 00:20-00:26, 00:49-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--28408.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:14, 00:23-00:31, 00:38-00:47, 00:52-00:59\nSpeaker B: 00:01-00:08, 00:18-00:23, 00:32-00:38, 00:47-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1085362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:11-00:22, 00:31-00:54\nSpeaker B: 00:08-00:10, 00:21-00:26, 00:54-01:02"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--527126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:15-00:20, 00:36-00:43\nSpeaker B: 00:03-00:10, 00:21-00:35, 00:44-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--258280.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:14, 00:27-00:41, 00:47-00:52, 01:01-01:07\nSpeaker B: 00:02-00:06, 00:19-00:26, 00:42-00:47, 00:53-01:00"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1050427.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:06, 00:09-00:11, 00:14-00:19, 00:27-00:37, 00:41-01:01\nSpeaker B: 00:03-00:04, 00:07-00:09, 00:12-00:13, 00:18-00:22, 00:37-00:41, 01:02-01:08"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--590679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:28, 00:40-00:57\nSpeaker B: 00:05-00:09, 00:34-00:40, 00:57-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--468879.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:11, 00:20-00:31, 00:38-00:52, 00:57-01:04, 01:08-01:13\nSpeaker B: 00:04-00:06, 00:11-00:15, 00:31-00:37, 00:53-00:57, 01:05-01:08"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--471264.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:15-00:25, 00:41-00:51, 00:59-01:15\nSpeaker B: 00:06-00:10, 00:25-00:41, 00:52-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1052554.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:12, 00:24-00:34, 00:38-00:58, 01:03-01:08, 01:14-01:14\nSpeaker B: 00:04-00:08, 00:17-00:23, 00:34-00:38, 00:59-01:03, 01:09-01:13"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--468603.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:09, 00:18-00:28, 00:34-00:39\nSpeaker B: 00:03-00:05, 00:09-00:13, 00:28-00:34, 00:39-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--605295.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:15, 00:25-00:29, 00:30-00:39, 00:45-00:49\nSpeaker B: 00:03-00:09, 00:20-00:24, 00:29-00:30, 00:40-00:45, 00:50-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--957212.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:06, 00:08-00:13, 00:22-00:27, 00:32-00:37\nSpeaker B: 00:02-00:03, 00:06-00:09, 00:18-00:22, 00:28-00:32, 00:37-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--41123.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:14, 00:22-00:27, 00:31-00:39\nSpeaker B: 00:03-00:07, 00:19-00:22, 00:27-00:31, 00:39-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--65367.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:11, 00:22-00:27, 00:30-00:39\nSpeaker B: 00:04-00:07, 00:16-00:21, 00:28-00:30, 00:40-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--104948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:08, 00:17-00:22, 00:28-00:32\nSpeaker B: 00:02-00:04, 00:13-00:16, 00:22-00:27"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--76089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:06, 00:16-00:30, 00:38-00:50, 00:55-01:09\nSpeaker B: 00:00-00:02, 00:06-00:11, 00:30-00:38, 00:50-00:55, 01:09-01:11"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--186110.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:13-00:21, 00:28-00:37\nSpeaker B: 00:07-00:13, 00:21-00:30, 00:42-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--508884.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:10-00:18, 00:26-00:44, 00:50-00:54\nSpeaker B: 00:07-00:10, 00:17-00:21, 00:44-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--810624.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:11, 00:17-00:32, 00:50-00:57\nSpeaker B: 00:03-00:05, 00:11-00:13, 00:33-00:50, 00:58-01:18"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--90720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:14-00:23, 00:32-00:51, 00:59-01:09\nSpeaker B: 00:09-00:14, 00:22-00:27, 00:51-00:58, 01:10-01:15"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--511668.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:16-00:20, 00:32-00:40\nSpeaker B: 00:06-00:11, 00:21-00:31, 00:40-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--836018.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:10, 00:16-00:26\nSpeaker B: 00:02-00:07, 00:14-00:16, 00:27-00:30"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--400143.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:12, 00:24-00:30\nSpeaker B: 00:04-00:08, 00:17-00:23"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--771202.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:09, 00:15-00:21, 00:31-00:35, 00:38-00:43\nSpeaker B: 00:04-00:07, 00:07-00:10, 00:21-00:30, 00:36-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674832.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:11-00:17, 00:39-00:42\nSpeaker B: 00:06-00:12, 00:22-00:38, 00:43-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--720445.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:10-00:17, 00:33-00:41\nSpeaker B: 00:04-00:10, 00:22-00:32, 00:42-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--748077.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:13, 00:20-00:26, 00:30-00:35, 00:49-00:56\nSpeaker B: 00:04-00:07, 00:12-00:15, 00:26-00:29, 00:35-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1020087.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:12-00:22, 00:28-00:33, 00:38-00:42, 00:48-00:55\nSpeaker B: 00:04-00:07, 00:22-00:28, 00:33-00:37, 00:42-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--718092.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:10, 00:21-00:27, 00:42-00:46\nSpeaker B: 00:03-00:07, 00:15-00:21, 00:27-00:41, 00:47-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--7405.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:10, 00:20-00:28, 00:35-00:46, 00:58-01:07\nSpeaker B: 00:01-00:03, 00:09-00:14, 00:28-00:35, 00:47-00:57, 01:07-01:08"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--27924.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:14, 00:24-00:39, 00:44-00:51\nSpeaker B: 00:04-00:09, 00:19-00:24, 00:39-00:44, 00:52-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--556060.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:09, 00:13-00:31, 00:39-00:48, 00:53-01:13, 01:18-01:25\nSpeaker B: 00:03-00:05, 00:10-00:12, 00:30-00:35, 00:48-00:52, 01:14-01:17"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--152375.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:04-00:09, 00:16-00:19, 00:29-00:33\nSpeaker B: 00:03-00:05, 00:14-00:16, 00:19-00:29"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--816805.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:19, 00:32-00:42, 00:46-00:52, 00:58-01:18\nSpeaker B: 00:04-00:08, 00:24-00:32, 00:43-00:46, 00:53-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--75062.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:04-00:12, 00:24-00:31, 00:42-00:44\nSpeaker B: 00:03-00:04, 00:11-00:19, 00:32-00:41, 00:44-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1120331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:14, 00:24-00:29, 00:37-00:42, 00:47-00:51, 01:02-01:03\nSpeaker B: 00:01-00:02, 00:13-00:19, 00:30-00:36, 00:42-00:47, 00:51-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--316554.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:11, 00:24-00:27\nSpeaker B: 00:02-00:06, 00:16-00:23, 00:28-00:30"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--582721.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:04-00:06, 00:08-00:14, 00:23-00:28, 00:31-00:38, 00:43-00:54\nSpeaker B: 00:03-00:04, 00:07-00:07, 00:13-00:17, 00:28-00:31, 00:39-00:43, 00:54-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--834165.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:11, 00:15-00:20, 00:30-00:37, 00:41-00:54, 01:01-01:06\nSpeaker B: 00:01-00:04, 00:11-00:16, 00:25-00:29, 00:37-00:40, 00:55-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--233562.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:05, 00:07-00:19, 00:31-00:41\nSpeaker B: 00:02-00:03, 00:05-00:08, 00:24-00:30"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--343780.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:09, 00:17-00:20, 00:31-00:34\nSpeaker B: 00:03-00:05, 00:09-00:12, 00:20-00:30, 00:35-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--566903.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:13-00:20, 00:37-00:40\nSpeaker B: 00:08-00:14, 00:25-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--630141.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:13, 00:32-00:38, 00:43-00:46\nSpeaker B: 00:03-00:07, 00:17-00:32, 00:38-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--217814.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:11-00:20, 00:34-00:38\nSpeaker B: 00:02-00:04, 00:08-00:12, 00:25-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--934138.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:12-00:16, 00:25-00:33, 00:37-00:41\nSpeaker B: 00:01-00:03, 00:09-00:13, 00:21-00:25, 00:33-00:37, 00:41-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--731416.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:02-00:05, 00:13-00:16, 00:26-00:32, 00:38-00:41, 00:43-00:47\nSpeaker B: 00:00-00:02, 00:04-00:08, 00:17-00:26, 00:33-00:37, 00:42-00:43, 00:48-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--951661.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:12, 00:22-00:32, 00:47-00:54, 01:05-01:09\nSpeaker B: 00:02-00:04, 00:12-00:17, 00:33-00:46, 00:54-01:05, 01:09-01:15"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--999053.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:29-00:34, 00:46-00:51, 00:55-01:00, 01:09-01:13\nSpeaker B: 00:13-00:24, 00:35-00:46, 00:51-00:55, 01:00-01:08, 01:13-01:17"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--41116.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:04-00:12, 00:21-00:24, 00:28-00:41\nSpeaker B: 00:03-00:04, 00:11-00:16, 00:24-00:28"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1124666.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:08-00:14, 00:26-00:42\nSpeaker B: 00:06-00:09, 00:20-00:25, 00:43-00:47"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--530500.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:17-00:30, 00:36-00:39, 00:47-00:49\nSpeaker B: 00:07-00:13, 00:30-00:36, 00:40-00:47, 00:50-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--403051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:22-00:40, 00:52-01:08, 01:15-01:27\nSpeaker B: 00:08-00:16, 00:40-00:51, 01:09-01:14"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--322914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:13, 00:24-00:29\nSpeaker B: 00:05-00:09, 00:17-00:24, 00:30-00:34"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--265946.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:18, 00:30-00:38, 00:46-00:50\nSpeaker B: 00:05-00:09, 00:23-00:29, 00:38-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--315768.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:13, 00:33-00:37\nSpeaker B: 00:03-00:09, 00:17-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--601727.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:13, 00:23-00:30, 00:41-00:51, 00:56-01:02\nSpeaker B: 00:03-00:06, 00:18-00:23, 00:31-00:41, 00:51-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--101351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:15-00:27, 00:32-00:35\nSpeaker B: 00:05-00:10, 00:27-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--907119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:14, 00:22-00:32, 00:36-00:58, 01:05-01:17\nSpeaker B: 00:03-00:04, 00:13-00:17, 00:32-00:36, 00:59-01:05"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--263928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:03-00:06, 00:18-00:22, 00:28-00:29\nSpeaker B: 00:02-00:04, 00:12-00:18, 00:22-00:27, 00:29-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1101857.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:18-00:37, 00:46-00:50\nSpeaker B: 00:08-00:13, 00:37-00:46, 00:51-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--11862.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:17, 00:29-00:38, 00:43-00:48\nSpeaker B: 00:03-00:09, 00:22-00:29, 00:38-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--338832.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:09, 00:16-00:24, 00:29-00:37, 00:43-00:47, 00:53-01:05, 01:11-01:17\nSpeaker B: 00:01-00:03, 00:08-00:11, 00:25-00:29, 00:38-00:43, 00:47-00:53, 01:06-01:10, 01:17-01:25"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--596068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:09, 00:20-00:28, 00:39-00:44\nSpeaker B: 00:01-00:06, 00:08-00:15, 00:28-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--25283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:15-00:19, 00:22-00:25, 00:36-00:41, 00:43-00:45\nSpeaker B: 00:04-00:10, 00:19-00:22, 00:25-00:35, 00:41-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--843172.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:16, 00:34-00:45\nSpeaker B: 00:05-00:08, 00:22-00:34, 00:45-00:52"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--475039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:15-00:21, 00:38-00:44\nSpeaker B: 00:05-00:10, 00:22-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--8155.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:08, 00:16-00:22, 00:24-00:27, 00:33-00:38\nSpeaker B: 00:03-00:05, 00:07-00:11, 00:23-00:23, 00:27-00:32, 00:38-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--58019.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:14, 00:30-00:37, 00:48-00:58, 01:08-01:11, 01:17-01:19\nSpeaker B: 00:02-00:06, 00:19-00:30, 00:37-00:47, 00:58-01:07, 01:12-01:16"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1001071.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:05-00:11, 00:34-00:41\nSpeaker B: 00:04-00:06, 00:17-00:34, 00:42-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--265829.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:12, 00:26-00:30, 00:33-00:35\nSpeaker B: 00:04-00:08, 00:17-00:25, 00:31-00:33, 00:36-00:38"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--978945.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:19-00:34, 00:43-00:49\nSpeaker B: 00:05-00:13, 00:34-00:43, 00:49-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--208819.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:08, 00:19-00:23, 00:27-00:31, 00:33-00:38\nSpeaker B: 00:02-00:05, 00:12-00:18, 00:24-00:26, 00:31-00:33"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--317167.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:15-00:23, 00:30-00:38, 00:45-00:50, 00:57-00:59\nSpeaker B: 00:06-00:10, 00:23-00:29, 00:38-00:45, 00:50-00:57, 00:59-01:02"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--494198.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:11, 00:30-00:34\nSpeaker B: 00:03-00:06, 00:16-00:29, 00:35-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--245101.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:03-00:11, 00:23-00:27, 00:32-00:41, 00:47-00:55, 00:58-01:04\nSpeaker B: 00:02-00:04, 00:16-00:23, 00:27-00:32, 00:42-00:47, 00:55-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--181032.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:14, 00:28-00:33, 00:38-00:44\nSpeaker B: 00:02-00:08, 00:19-00:28, 00:34-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--477920.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:16, 00:31-00:37\nSpeaker B: 00:03-00:08, 00:20-00:30, 00:38-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--338555.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:11, 00:21-00:34, 00:41-00:54\nSpeaker B: 00:03-00:05, 00:09-00:16, 00:34-00:41"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--55746.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:12-00:16, 00:22-00:36\nSpeaker B: 00:03-00:07, 00:16-00:22, 00:36-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--588465.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:09, 00:26-00:27, 00:30-00:32, 00:37-00:38\nSpeaker B: 00:04-00:08, 00:14-00:25, 00:28-00:29, 00:32-00:36, 00:39-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--876226.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:09, 00:18-00:22, 00:25-00:36, 00:42-00:45, 00:48-00:51\nSpeaker B: 00:01-00:03, 00:14-00:18, 00:23-00:24, 00:37-00:42, 00:46-00:48, 00:51-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--169636.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:15, 00:28-00:31, 00:45-00:54, 00:58-01:03\nSpeaker B: 00:03-00:08, 00:20-00:28, 00:32-00:45, 00:54-00:57, 01:03-01:05"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1132437.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:18-00:24, 00:28-00:31, 00:43-00:47, 00:52-00:55\nSpeaker B: 00:01-00:04, 00:07-00:12, 00:24-00:27, 00:32-00:42, 00:48-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674667.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:19-00:30\nSpeaker B: 00:05-00:14, 00:30-00:40"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--727873.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:16-00:24, 00:37-00:47, 00:53-01:06\nSpeaker B: 00:07-00:11, 00:24-00:36, 00:48-00:52, 01:06-01:17"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--835488.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:11, 00:21-00:25, 00:35-00:40, 00:45-00:49\nSpeaker B: 00:05-00:08, 00:17-00:20, 00:26-00:34, 00:41-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1079940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:06, 00:16-00:20, 00:26-00:31\nSpeaker B: 00:02-00:03, 00:05-00:11, 00:21-00:25, 00:31-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--76363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:15-00:22, 00:33-00:44, 00:51-00:59\nSpeaker B: 00:07-00:10, 00:22-00:33, 00:45-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1188579.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:13, 00:23-00:36, 00:40-00:48, 00:53-00:58\nSpeaker B: 00:04-00:07, 00:13-00:18, 00:36-00:40, 00:48-00:52, 00:58-00:59"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--115967.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:11, 00:15-00:20, 00:27-00:32, 00:45-00:48, 00:50-00:56, 00:59-01:10\nSpeaker B: 00:03-00:06, 00:11-00:14, 00:20-00:28, 00:38-00:44, 00:49-00:50, 00:56-00:58, 01:10-01:16"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--28766.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:12-00:19, 00:27-00:33, 00:40-00:41, 00:49-00:51\nSpeaker B: 00:05-00:07, 00:19-00:27, 00:34-00:40, 00:42-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--295395.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:17-00:21, 00:27-00:47, 00:55-01:01, 01:07-01:10\nSpeaker B: 00:06-00:12, 00:21-00:26, 00:48-00:54, 01:01-01:07, 01:10-01:12"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--366333.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:12, 00:20-00:28, 00:32-00:34\nSpeaker B: 00:03-00:03, 00:11-00:15, 00:29-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--381879.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:17-00:20, 00:25-00:35, 00:41-00:51\nSpeaker B: 00:09-00:12, 00:21-00:24, 00:36-00:40, 00:52-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--197606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:12-00:18, 00:23-00:30, 00:42-00:44, 00:47-00:51, 00:54-01:03, 01:09-01:14\nSpeaker B: 00:07-00:11, 00:18-00:24, 00:35-00:41, 00:45-00:46, 00:51-00:53, 01:04-01:08, 01:15-01:20"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--868975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:21-00:28, 00:57-01:09\nSpeaker B: 00:09-00:22, 00:33-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--875462.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:10-00:18, 00:30-00:35, 00:43-00:45\nSpeaker B: 00:06-00:11, 00:23-00:29, 00:36-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1108323.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:10, 00:13-00:22, 00:31-00:37, 00:40-00:47\nSpeaker B: 00:04-00:05, 00:11-00:15, 00:27-00:31, 00:37-00:40, 00:47-00:49"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1087984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:24-00:41\nSpeaker B: 00:12-00:18, 00:41-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--282928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:19-00:33, 00:40-00:52\nSpeaker B: 00:10-00:14, 00:33-00:39, 00:53-01:02"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--41171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:19-00:37, 00:44-00:57\nSpeaker B: 00:08-00:14, 00:38-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1117467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:15, 00:32-00:34, 00:42-00:50\nSpeaker B: 00:04-00:09, 00:20-00:31, 00:35-00:42"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--596356.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:15-00:26, 00:37-00:46\nSpeaker B: 00:05-00:10, 00:26-00:36, 00:46-00:50"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--290375.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:10-00:23, 00:32-00:36, 00:45-00:53\nSpeaker B: 00:04-00:10, 00:28-00:32, 00:36-00:44, 00:54-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--932576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:13, 00:30-00:34, 00:44-00:49, 00:58-01:01\nSpeaker B: 00:04-00:06, 00:18-00:30, 00:35-00:43, 00:50-00:58"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--132857.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:19-00:25, 00:30-00:31, 00:44-00:49\nSpeaker B: 00:06-00:13, 00:25-00:29, 00:31-00:43, 00:49-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1171436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:09, 00:11-00:26, 00:40-00:53\nSpeaker B: 00:03-00:05, 00:09-00:10, 00:26-00:35, 00:54-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--412543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:08-00:16, 00:29-00:32, 00:40-00:45, 01:00-01:03\nSpeaker B: 00:06-00:09, 00:20-00:28, 00:33-00:39, 00:46-01:00"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--100933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:14, 00:28-00:35\nSpeaker B: 00:04-00:09, 00:19-00:28, 00:35-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--901379.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:12, 00:23-00:32\nSpeaker B: 00:02-00:04, 00:12-00:18, 00:33-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--578986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:19-00:23, 00:32-00:39\nSpeaker B: 00:07-00:14, 00:23-00:32"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:13, 00:22-00:27, 00:31-00:36, 00:43-00:46, 00:49-00:56\nSpeaker B: 00:03-00:08, 00:12-00:17, 00:27-00:30, 00:36-00:42, 00:47-00:49, 00:57-01:00"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--665430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:14-00:31, 00:44-00:48\nSpeaker B: 00:03-00:09, 00:31-00:43, 00:48-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--908444.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:08, 00:18-00:27, 00:34-00:38, 00:51-00:54\nSpeaker B: 00:02-00:04, 00:08-00:18, 00:27-00:34, 00:37-00:46, 00:55-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--449689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:10, 00:19-00:22, 00:26-00:30\nSpeaker B: 00:01-00:05, 00:09-00:13, 00:23-00:26"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1188772.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:09, 00:17-00:21, 00:26-00:32, 00:38-00:43\nSpeaker B: 00:03-00:05, 00:08-00:11, 00:22-00:25, 00:33-00:38, 00:44-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--536240.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:10, 00:17-00:28, 00:32-00:36, 00:43-00:59, 01:01-01:03\nSpeaker B: 00:02-00:04, 00:09-00:12, 00:29-00:31, 00:37-00:43, 00:59-01:00"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--682132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:15, 00:25-00:30, 00:43-00:50\nSpeaker B: 00:04-00:05, 00:15-00:20, 00:31-00:43, 00:50-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--934119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:11, 00:15-00:21, 00:31-00:44, 00:48-00:52\nSpeaker B: 00:01-00:04, 00:11-00:16, 00:26-00:31, 00:44-00:47, 00:53-00:56"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674707.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:13, 00:33-00:44\nSpeaker B: 00:03-00:06, 00:18-00:33"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--894939.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:13-00:18, 00:26-00:29, 00:35-00:41, 00:44-00:46\nSpeaker B: 00:01-00:04, 00:10-00:13, 00:23-00:26, 00:29-00:34, 00:42-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--231370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:07, 00:10-00:14, 00:24-00:29, 00:36-00:44, 00:49-00:49, 01:01-01:03\nSpeaker B: 00:02-00:04, 00:08-00:10, 00:19-00:23, 00:30-00:36, 00:44-00:48, 00:50-01:01"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--445827.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:11, 00:22-00:26, 00:30-00:36, 00:40-00:42\nSpeaker B: 00:04-00:07, 00:16-00:21, 00:26-00:30, 00:36-00:39"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--822538.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:14, 00:25-00:26, 00:27-00:29\nSpeaker B: 00:04-00:08, 00:19-00:25, 00:26-00:27, 00:30-00:31"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--498603.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:19-00:31, 00:40-00:52, 01:01-01:08\nSpeaker B: 00:06-00:15, 00:32-00:40, 00:53-01:00"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--584031.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:17-00:23, 00:34-00:45, 00:53-01:01, 01:07-01:07\nSpeaker B: 00:06-00:13, 00:24-00:33, 00:45-00:52, 01:01-01:06"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--431708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:05, 00:07-00:11, 00:24-00:27, 00:31-00:38, 00:44-00:47\nSpeaker B: 00:02-00:03, 00:06-00:07, 00:17-00:24, 00:27-00:31, 00:38-00:44"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--350446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:19-00:28, 00:46-00:55\nSpeaker B: 00:08-00:14, 00:29-00:46"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--737676.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:27-00:39, 00:57-01:07\nSpeaker B: 00:12-00:21, 00:39-00:57, 01:07-01:20"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--762905.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:20-00:44, 00:53-01:04\nSpeaker B: 00:05-00:15, 00:44-00:53"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1025535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:16-00:22, 00:39-00:43, 00:48-00:50\nSpeaker B: 00:07-00:11, 00:23-00:38, 00:43-00:48"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--690063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:11, 00:22-00:51, 00:58-01:11, 01:15-01:18\nSpeaker B: 00:01-00:03, 00:10-00:17, 00:52-00:57, 01:11-01:15"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--214621.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:07, 00:11-00:18, 00:33-00:48, 00:52-00:55\nSpeaker B: 00:02-00:04, 00:07-00:11, 00:23-00:32, 00:48-00:51"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--844892.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:11, 00:22-00:26, 00:33-00:40, 00:45-00:49\nSpeaker B: 00:02-00:03, 00:10-00:16, 00:27-00:33, 00:41-00:45"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--185821.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:18-00:21, 00:25-00:28, 00:32-00:33, 00:44-00:49\nSpeaker B: 00:06-00:13, 00:22-00:25, 00:29-00:31, 00:34-00:44, 00:49-00:57"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--795559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:11-00:18, 00:35-00:46, 01:12-01:20\nSpeaker B: 00:06-00:11, 00:19-00:34, 00:45-01:08"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--934782.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:09, 00:20-00:29, 00:37-00:41\nSpeaker B: 00:01-00:02, 00:08-00:14, 00:29-00:37"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--49462.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:21-00:32, 00:40-00:41\nSpeaker B: 00:06-00:16, 00:32-00:39, 00:42-00:43"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--164800.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:08, 00:18-00:24, 00:27-00:33, 00:40-00:46, 00:54-00:58\nSpeaker B: 00:01-00:03, 00:07-00:13, 00:24-00:27, 00:34-00:40, 00:46-00:54"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--162106.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:17, 00:33-00:39, 00:49-00:58, 01:06-01:12\nSpeaker B: 00:05-00:09, 00:22-00:32, 00:40-00:48, 00:59-01:06, 01:12-01:15"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--69581.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:11, 00:20-00:37, 00:43-00:50, 00:56-00:58\nSpeaker B: 00:02-00:04, 00:10-00:15, 00:38-00:43, 00:50-00:55"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--757426.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:16-00:22, 00:38-00:55, 01:02-01:10\nSpeaker B: 00:04-00:11, 00:23-00:38, 00:55-01:01, 01:10-01:18"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1112132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Wow, I've never seen that kind of fruit before! What is it?\n[00:04 - 00:07] Speaker B: Oh, that's a dragonfruit. They're really popular right\n[00:07 - 00:12] Speaker A: Oh, really? Why are they so popular right now? Is it because of their taste or something else?\n[00:17 - 00:26] Speaker B: It's a combination of things, really. They have a unique taste, and they're also quite nutritious. Plus, they look really striking, which makes them popular on social media.\n[00:26 - 00:30] Speaker A: That makes sense! I'll have to try one then! How much are they?\n[00:31 - 00:32] Speaker B: Just $3 each.\n[00:32 - 00:35] Speaker A: Okay, I'll take two please.\n[00:35 - 00:37] Speaker B: Great! Here you go. Enjoy!\n[00:38 - 00:39] Speaker A: Thanks! I will.\n[00:39 - 00:44] Speaker A: Mmm, this is really good! What did you say this was again?\n[00:44 - 00:45] Speaker B: A dragonfruit.\n[00:46 - 00:48] Speaker A: It's so sweet and juicy! I love it!\n[00:48 - 01:01] Speaker B: I'm glad you like it. We have a lot of people who come in and try them for the first time and end up  becoming regular customers because they discover how versatile the fruit is - perfect for smoothies, salads, or just eating fresh with a spoon.\n[01:02 - 01:09] Speaker A: Oh, I can totally see that happening! It's such a unique flavor. I'll definitely be back for more. Thanks again!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--113543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I know what I want to do with my life.\n[00:02 - 00:03] Speaker B: What is that, sweetie?\n[00:03 - 00:04] Speaker A: I want to be a doctor.\n[00:05 - 00:06] Speaker B: Why do you want to be a doctor?\n[00:07 - 00:18] Speaker A: Because I want to help people. There are so many people in the world who are sick and need help, and I want to be able to help them. I know it won't be easy, but I'm willing to work hard to\n[00:17 - 00:23] Speaker B: I just want to say, that's such a noble reason. But have you thought about the challenges, like the long hours and emotional toll?\n[00:28 - 00:36] Speaker A: Yes, I have. I know it won't be easy, but I'm determined to make a difference. I was about to say that I'm willing to work hard to achieve that.\n[00:37 - 00:41] Speaker B: That's very admirable, Tramaine. I'm sure you'll make an excellent doctor."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--58199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Your Honor, I'm sorry for what happened. I know I shouldn't have been driving so\n[00:04 - 00:09] Speaker B: Mr. Natosha, you were speeding over twice the legal limit. You could have killed someone!\n[00:14 - 00:19] Speaker A: I know, Your Honor. It was stupid and reckless and I'm truly sorry.\n[00:19 - 00:33] Speaker B: Mr. Natosha, I don't think you understand how serious this is. If you had caused an accident, people could have been seriously injured or even  lost their lives in a tragic and completely preventable collision that would have devastated multiple families forever.\n[00:33 - 00:36] Speaker A: I do understand, Your Honor. I am sorry.\n[00:37 - 00:44] Speaker B: Mr. Natosha, I'm going to give you a chance to prove that you're sorry. I'm going to sentence you to 200 hours of community service.\n[00:44 - 00:46] Speaker A: Yes, Your Honor. Thank you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--560596.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, I'm here to check out the new restaurant.\n[00:03 - 00:06] Speaker B: Sure, come on in! We're just about to open for lunch.\n[00:06 - 00:10] Speaker A: Great, I'm starving. So what's this place all about?\n[00:10 - 00:16] Speaker B: Well, we focus on healthy and organic food. Everything is made from scratch using local\n[00:16 - 00:21] Speaker A: Oh, are the ingredients sourced from nearby farms? I love supporting local producers.\n[00:27 - 00:36] Speaker B: Yes, exactly! We work with several local farms to get the freshest produce. We just opened up last week, so we're still getting everything set up, but we're really excited about it.\n[00:36 - 00:38] Speaker A: I can tell! So what's on the menu?\n[00:39 - 00:47] Speaker B: Let me show you. (She leads him to the menu board) We have a bunch of different salads, sandwiches, and soups. Everything is under $10.\n[00:47 - 00:52] Speaker A: That's great! I'll definitely be back for lunch soon. Thanks for showing me around.\n[00:53 - 00:54] Speaker B: No problem, enjoy your day!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1131940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: What's up?\n[00:01 - 00:03] Speaker B: Not much. Just hanging out. What about you?\n[00:04 - 00:10] Speaker A: I'm good. I've been playing the drums a lot lately and I really\n[00:09 - 00:14] Speaker B: Oh, that sounds cool! Do you have any specific songs or styles you're focusing on?\n[00:18 - 00:26] Speaker A: Yeah, I've been working on some rock and jazz beats. It's just so much fun and I'm really starting to get good at it.\n[00:26 - 00:30] Speaker B: That's awesome! I'm sure you'll be a great drummer in no time."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--726661.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey man, what's up?\n[00:01 - 00:04] Speaker B: Not much, just hanging out. What about you?\n[00:04 - 00:08] Speaker A: Same old, same old. So, what's been going on with you lately?\n[00:09 - 00:13] Speaker B: Oh, you know, just the usual stuff. School and work and all\n[00:11 - 00:17] Speaker A: Speaking of school, how are you managing your assignments? I know you've had a lot on your plate lately.\n[00:22 - 00:27] Speaker B: Yeah, it's been pretty hectic, but I'm managing. Thanks for asking. It's nice to have someone who gets it.\n[00:28 - 00:34] Speaker A: I totally get it. Anyway, what do you say we go get a bite to eat? I'm starving!\n[00:35 - 00:36] Speaker B: Sounds good to me. Let's go!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--729816.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I can't believe they didn't give me the promotion. I really thought I had it in the\n[00:05 - 00:07] Speaker B: What happened? Did they say why they chose someone else?\n[00:12 - 00:24] Speaker A: My boss called me into his office this morning and told me that they had decided to give the job to someone else. He said that although I was a strong candidate, the other person just had a little more experience.\n[00:25 - 00:34] Speaker B: Katie, I'm so sorry. That must have been really tough to  hear, especially after putting in so much effort and going above and beyond what was expected of you in your current role.\n[00:35 - 00:45] Speaker A: Yeah, it was. I've been working at this company for years and I thought I deserved that promotion. Now I feel like all my hard work has gone to waste.\n[00:46 - 00:54] Speaker B: You haven't wasted your hard work. Just because you didn't get this one job doesn't mean your career is over. You're still a valuable employee with a lot to offer.\n[00:54 - 01:00] Speaker A: I know you're right. But it's just hard to see the silver lining when I'm feeling so down about it.\n[01:00 - 01:06] Speaker B: I completely understand. It sounds like you really need some time to process what happened and figure out your next steps.\n[01:07 - 01:14] Speaker A: Yeah, I think you're right. Thanks for listening, Carnell. It really helps to talk to someone about it.\n[01:14 - 01:16] Speaker B: Of course, Katie. That's what friends are for."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--520823.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I just don't know what to do. I've tried everything, and it's just not\n[00:03 - 00:07] Speaker B: What exactly have you tried? Maybe there's something we can build on.\n[00:12 - 00:20] Speaker A: I've tried doing research, brainstorming ideas, talking to other people about it... I just can't seem to come up with anything that works.\n[00:20 - 00:34] Speaker B: Hmm... well, maybe you're just approaching it from the wrong angle. Have you tried looking at it from a different  perspective, or maybe even getting some feedback from someone outside the team who might offer fresh insights and innovative solutions you haven't considered before?\n[00:34 - 00:39] Speaker A: Different angle? I don't know... I feel like I've tried everything.\n[00:40 - 00:46] Speaker B: Sometimes when we're stuck, we just need to take a step back and look at the bigger picture. Maybe there's something you're missing."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1123711.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Sarah! I'm so glad to see you!\n[00:03 - 00:07] Speaker B: Hey, Renesmee! I'm happy to see you too! How are you doing today?\n[00:07 - 00:14] Speaker A: I'm doing great today! I love exploring and playing games. Do you want to play a game of fetch with\n[00:14 - 00:19] Speaker B: Oh, fetch sounds fun! But I was wondering, do you have any other favorite games we could try later?\n[00:24 - 00:33] Speaker A: That sounds like fun! I would love to play a game of fetch with you. Maybe after that, we can try some other games too. Alright, let's go!\n[00:33 - 00:37] Speaker B: Absolutely, let's start with fetch and then we can see what else we feel like doing!\n[00:38 - 00:47] Speaker A: Renesmee and Sarah seem to be having a great time playing fetch together. Sarah is laughing and Renesmee looks like he's having a blast running around."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--822773.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I don't really see the appeal anymore. I mean, they're just so childish and\n[00:04 - 00:09] Speaker B: Childish? But isn't that part of the fun? It's a great way to relax and have some fun.\n[00:14 - 00:20] Speaker A: I guess you have a point there. But I just don't think I'm interested in playing them as much as I used to.\n[00:21 - 00:28] Speaker B: Wait, before you finish that thought—what if we tried a different type of game? Something more challenging or strategic? Maybe that would change your perspective.\n[00:29 - 00:36] Speaker A: Hmm, maybe. But right now, they just seem so pointless and juvenile. I'd rather do something else with my time.\n[00:36 - 00:43] Speaker B: Well, if you don't like them, you don't have to play them. But who knows, maybe someday you'll change your mind and give them another try."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--931585.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi, Sarah. I hope I'm not disturbing\n[00:03 - 00:07] Speaker B: No, it's fine. I'm just taking a break from studying for finals. How are you?\n[00:12 - 00:17] Speaker A: I'm good. Just wanted to check in on you and see how you're doing.\n[00:17 - 00:19] Speaker B: I've been better, to be honest.\n[00:19 - 00:20] Speaker A: What's going on?\n[00:21 - 00:32] Speaker B: It's just everything. Finals, work, my boyfriend breaking up with me...I don't know. I feel like I can't catch a  break lately, you know? Like every time I think things might be getting better, something else comes crashing down.\n[00:32 - 00:40] Speaker A: Wait, your boyfriend broke up with you? I'm so sorry, Sarah. That must be really hard on top of everything else.\n[00:40 - 00:49] Speaker B: Yeah, it's been rough. But my roommates have been great, and my mom called me yesterday, which was nice. But sometimes it feels like nobody really gets it, you know?\n[00:49 - 01:01] Speaker A: Yeah, I totally get that. It can be really hard when it feels like nobody understands what you're going through. But I'm here for you if you ever want to talk or need anything, okay?\n[01:02 - 01:04] Speaker B: Thank you so much, Brodey. That means a lot to me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--546350.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Mom, I did it! I made it into middle school.\n[00:03 - 00:09] Speaker B: That's wonderful, Ruben! I'm so proud of you. You've worked so hard and it's paid off. Congratula—\n[00:08 - 00:11] Speaker A: Thanks, Mom. It feels great to finally be here.\n[00:16 - 00:19] Speaker B: So, what's next for you? What do you want to achieve in middle school?\n[00:19 - 00:29] Speaker A: I don't really know. I just want to keep doing well and getting good  grades in all my subjects while also exploring new interests that might help me discover my future career path.\n[00:30 - 00:36] Speaker B: Ruben, speaking of grades, have you thought about joining any clubs or activities? They could really help you stay motivated.\n[00:37 - 00:44] Speaker A: That's a good idea, Mom. I think I might try joining the science club. But like I was saying, I want to keep getting good grades too."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559292.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: The queen is worth the most points, but the king is obviously the most important because if he gets captured, then you\n[00:06 - 00:10] Speaker B: Wait, so if the king is captured, the game ends immediately, right?\n[00:15 - 00:23] Speaker A: Yes, exactly. The game ends immediately, and you lose. So it sounds like strategy is really important in this game.\n[00:23 - 00:31] Speaker B: Yeah, it definitely is. There are a lot of different ways to win, and you have to be very careful with your moves because one wrong move can cost you the game.\n[00:31 - 00:36] Speaker A: This sounds like a really challenging and fun game! I'd love to try it sometime."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--460378.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: I have class in the morning but other than that, nothing really specific. Maybe just hanging out and taking it easy since it's Saturday. Is there anything on your mind that you've been wanting to\n[00:10 - 00:15] Speaker B: Actually, before you finish—how are your classes going? I've been meaning to ask if you're enjoying them.\n[00:20 - 00:30] Speaker A: Oh, yeah! That's what I was about to mention. My classes are going well, actually. I'm really enjoying them, especially the psychology course."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--931341.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, Jayshawn. How are you today?\n[00:02 - 00:04] Speaker B: I'm good, thank you. How are you?\n[00:04 - 00:08] Speaker A: I'm doing well, thank you. So, what have you been up to today?\n[00:09 - 00:11] Speaker B: Just hanging out with my friends and stuff. What about you?\n[00:12 - 00:18] Speaker A: Oh, not much. Just doing some work around the house and stuff. Hey, I wanted to ask you\n[00:17 - 00:22] Speaker B: Oh, speaking of work around the house, did you manage to fix that leaky faucet you mentioned last week?\n[00:27 - 00:36] Speaker A: Not yet, but it's on my list. Anyway, I noticed that you're having some trouble spelling words and I wanted to help you out with that.\n[00:36 - 00:38] Speaker B: Really? Thank you! That would be great.\n[00:39 - 00:45] Speaker A: Sure, no problem. Let's start with a simple word like 'cat'. C-A-T. Now, you try it.\n[00:45 - 00:47] Speaker B: Okay. C-A-T.\n[00:48 - 00:52] Speaker A: Very good! Now let's try a harder word like 'dog'. D-O-G.\n[00:52 - 00:53] Speaker B: D-O-G.\n[00:53 - 00:55] Speaker A: Excellent! You're doing great!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--242753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Sarah, I just got this really creepy message that says \"I know what you did.\" Do you think it's from someone who knows about the thing we did last week?\n[00:09 - 00:17] Speaker B: Well, it's possible. But it could also be from someone who knows about something else you did. Either way, it's pretty unnerving, and I think we should\n[00:16 - 00:23] Speaker A: Wait, do you think it could be connected to that other thing I mentioned to you a while back? The one involving—\n[00:28 - 00:38] Speaker B: —Unsettling? Yeah, it is. But honestly, it might just be someone trying to mess with you. Maybe someone saw you do something random and decided to play a prank. Just don't let it get to you too much, OK?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--964867.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: (sticks a \"Kick Me\" sign on Aleyda's back)\n[00:03 - 00:06] Speaker B: (turns around) Hey! What did you do that\n[00:05 - 00:08] Speaker A: Because I know it'll embarrass you when someone kicks you.\n[00:13 - 00:22] Speaker B: You're just jealous because I'm popular and you're  always trying to get attention in the wrong way instead of actually working on improving your own social skills and relationships.\n[00:23 - 00:28] Speaker A: I am not jealous! And even if I was, that would be no reason to embarrass me like this.\n[00:29 - 00:32] Speaker B: Well, I think it's funny. And everyone else will too. (laughs)\n[00:32 - 00:39] Speaker A: (angry) Just wait, you'll see. Someone is going to kick you and then you'll be the one who's embarrassed."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--64931.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I don't know why I did it. I just felt so angry and frustrated. I just wanted to hurt myself.\n[00:06 - 00:08] Speaker B: Why do you think you felt that way?\n[00:08 - 00:19] Speaker A: I don't know. Things have just been really tough lately. My job is stressful, my relationships are falling apart, and I just feel like I can't\n[00:18 - 00:23] Speaker B: Have you considered speaking to a professional about these feelings? It sounds like you're going through a lot.\n[00:28 - 00:44] Speaker A: I have thought about it, but I feel like it might not help. No one really understands what I'm going through. My friends and family are all busy with their own lives, and I don't want to  burden them with my problems or seem weak when they're already dealing with so much in their own personal and professional lives.\n[00:45 - 00:54] Speaker B: I know it can be hard to reach out, but sometimes people are more willing to help than we think. Maybe we can help connect you with some resources in the community that can provide support.\n[00:54 - 01:00] Speaker A: That might be helpful. I guess I just need to take that first step and see what happens."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--760966.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, are you okay? You look like you've been through a lot.\n[00:04 - 00:10] Speaker B: Yeah, I'm fine. I was just stranded on this island for a while. But thanks to you, I'm\n[00:09 - 00:13] Speaker A: Stranded? How did you end up here? Was it an accident?\n[00:18 - 00:26] Speaker B: Yeah, it was. I was just exploring and lost track of time. By the time I realized, it was too late to get back. But thanks to you, I'm safe now.\n[00:26 - 00:32] Speaker A: I'm glad I could help. It's not safe to be out here alone. What were you doing on the island by yourself?\n[00:33 - 00:42] Speaker B: I was just exploring. I wanted to see what was out  there beyond the usual tourist spots, hoping to discover some hidden caves or ancient artifacts that might have been overlooked by others.\n[00:42 - 00:49] Speaker A: Exploring is fun, but it can be dangerous in unknown places like this. Did you have any supplies with you?\n[00:49 - 00:56] Speaker B: Not really. I thought I'd be back quickly, so I didn't bring much. You're right, I should have been more prepared.\n[00:56 - 01:01] Speaker A: Well, you're lucky I came along when I did. You could have been hurt or worse.\n[01:01 - 01:05] Speaker B: Yeah, I know. I'm really grateful that you saved me.\n[01:05 - 01:08] Speaker A: Don't mention it. Just be more careful in the future, okay?\n[01:09 - 01:11] Speaker B: Okay, I will. Thanks again for everything."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1113559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: I'm so glad I was able to find a job here in Paris. This city is just beautiful with its stunning architecture, vibrant culture, and\n[00:08 - 00:21] Speaker B: Thank you, Mallory. We're happy to have you on our team. So, tell me a little bit about your experience as a waitress, especially in busy environments like this one where we often have to manage large crowds during peak hours while maintaining excellent service standards.\n[00:26 - 00:52] Speaker A: Well, I've been working as a waitress for about six years now. I've worked in both restaurants and cafes. I've had a lot of experience taking orders and serving customers. And I just love the work itself. It's really fulfilling to make someone's day by providing great service and  a positive dining experience that they'll remember fondly and want to come back for, which is ultimately what builds customer loyalty and success for any establishment.\n[00:53 - 01:04] Speaker B: Sorry to cut in, but I'm curious—how do you handle difficult customers? It's something we encounter from time to time here, especially during the busy tourist seasons when people might be tired or stressed from traveling.\n[01:04 - 01:21] Speaker A: Handling difficult customers is definitely part of the job. I usually try to stay calm and listen to their concerns. It's important to make them feel heard and to find a solution that satisfies them while also maintaining the restaurant's policies and standards of service."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--737726.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, Karina. I'm Ailany.\n[00:02 - 00:05] Speaker B: Hi, Ailany. Nice to meet you.\n[00:06 - 00:11] Speaker A: I'm a big fan of your work. I was wondering if I could talk to you about it sometime.\n[00:11 - 00:15] Speaker B: Sure, that would be great. Let's go into the museum and we can\n[00:14 - 00:19] Speaker A: Sorry to interrupt, but is everything okay? You seem a bit off.\n[00:24 - 00:28] Speaker B: Yeah, sorry. I just got a little dizzy for a second there.\n[00:28 - 00:35] Speaker A: Karina...I wanted to tell you that I'm gay. And I've been attracted to you since the moment I saw you.\n[00:35 - 00:47] Speaker B: Thank you for telling me, Ailany. I appreciate your honesty. I'm glad we can be friends despite  the circumstances and the feelings you've shared, as I truly value our connection and the meaningful conversations we've had about art and life.\n[00:48 - 00:50] Speaker A: Friends? Is that all you want from me?\n[00:51 - 00:57] Speaker B: Ailany...I like you too but we can't act on our feelings because it would be inappropriate given my position as your teacher."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--370577.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I can't believe you would say something like that to me! I'm so angry right now, I feel like punching\n[00:05 - 00:09] Speaker B: Wait, what happened? What did I say that made you feel this way?\n[00:14 - 00:31] Speaker A: You said that I wasn't meeting your expectations and that you were disappointed in my work. That really hurt my  feelings because I've been putting in extra hours every day and sacrificing my personal time just to meet deadlines, and it made me feel like all my efforts were completely unappreciated.\n[00:32 - 00:38] Speaker B: Hold on, I didn't realize it came across that way. I was trying to give you some constructive feedback, not to hurt you.\n[00:38 - 00:44] Speaker A: Well, it didn't feel constructive. It felt like you were trying to make me feel bad about myself.\n[00:44 - 00:51] Speaker B: I'm really sorry, that wasn't my intention at all. Can we talk about this more? I really want to understand how I can communicate better."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1001007.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I'm so glad you could make it out tonight! It's been way too long since we've caught up. How has work been treating you?\n[00:07 - 00:15] Speaker B: It's been busy, as always. I feel like I never have a chance to relax anymore. But enough about me, how have things been with you? Any news on the job\n[00:14 - 00:24] Speaker A: Actually, I do have some news. I finally got that promotion I've been working so hard for! Starting next week, I'll be the new assistant manager at the store.\n[00:29 - 00:38] Speaker B: That's amazing! Congratulations! I knew you'd get it eventually. You deserve it after all the extra hours you've been putting in, especially with all the challenges you've faced this past year.\n[00:38 - 00:51] Speaker A: Thanks for saying that! And speaking of the extra hours, it feels like they finally paid off with this promotion. It's a big pay raise and comes with some nice perks, like a company car and an office with a view.\n[00:51 - 00:55] Speaker B: Oh, that sounds lovely. I'm sure you'll be very happy there."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--640525.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how are you doing today?\n[00:02 - 00:05] Speaker B: I'm doing alright. Just a little\n[00:04 - 00:08] Speaker A: Tired? Yeah, I can imagine. You've been working hard lately.\n[00:13 - 00:16] Speaker B: Yeah, I have. But it's all worth it in the end.\n[00:16 - 00:20] Speaker A: Absolutely. So, what do you have planned for today?\n[00:20 - 00:31] Speaker B: Well, I was thinking about going to the park with the kids. Then maybe getting some groceries  if I have enough time after the park visit, though we might need to make it a quick trip since the kids have soccer practice later this afternoon.\n[00:32 - 00:37] Speaker A: Oh, do you need any help with the groceries? I could pick up a few things on my way home.\n[00:38 - 00:40] Speaker B: That would be great! Thanks, Zamir.\n[00:41 - 00:43] Speaker A: No problem, Sarah. I love you.\n[00:43 - 00:45] Speaker B: I love you too, Zamir."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--399572.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Thank you so much for helping me find the perfect car. I really appreciate it.\n[00:05 - 00:10] Speaker B: You're welcome, Kartier. It was our pleasure to help you find the perfect car for your needs.\n[00:10 - 00:13] Speaker A: This car is exactly what I wanted. It's perfect.\n[00:14 - 00:15] Speaker B: We're glad you're happy with it.\n[00:16 - 00:19] Speaker A: How much did you say the monthly payments are again?\n[00:19 - 00:22] Speaker B: The monthly payments are $369.00.\n[00:22 - 00:26] Speaker A: That's a lot of money. Is there any way to\n[00:24 - 00:30] Speaker B: Actually, have you considered looking into our financing options? Sometimes they can offer more flexible terms.\n[00:35 - 00:41] Speaker A: Financing options could be helpful, but I was asking if there's any way to lower the payments directly.\n[00:42 - 00:45] Speaker B: I'm sorry, Kartier, but the payments are non-negotiable."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--803822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Why can't I go to the party? All my friends will be there and I'll be left out if I don't\n[00:04 - 00:11] Speaker B: Corey, it's not just about missing out. You know the rule. No parties on school nights. You can go to the next one on the weekend.\n[00:16 - 00:28] Speaker A: That's not fair! Everyone else gets to go and I have to stay home by myself. It  feels like I'm always the one missing out on fun things because of these strict rules that none of my other friends have to follow.\n[00:28 - 00:35] Speaker B: I get that it feels unfair, but yelling and breaking things isn't going to change my mind. You need to calm down and respect my decision.\n[00:36 - 00:38] Speaker A: Fine, I'll just go by myself then!\n[00:38 - 00:40] Speaker B: Corey, you know that's not an option.\n[00:41 - 00:44] Speaker A: Then I don't know what to do! This is so unfair.\n[00:44 - 00:51] Speaker B: Why don't you see if one of your friends can come over and keep you company? I'm sure they would understand if you explained the situation to them.\n[00:52 - 00:55] Speaker A: I guess that could work. But I'm still not happy about it.\n[00:56 - 01:02] Speaker B: I understand. Maybe we can do something special together tomorrow night after homework is done? Would that make you feel better?\n[01:03 - 01:07] Speaker A: Yeah, that might help a little bit. Thanks, mom.\n[01:07 - 01:08] Speaker B: Of course, sweetie."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1186756.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, Karsen. What do you have\n[00:01 - 00:07] Speaker B: Sorry to jump in, but I just remembered, did you eat lunch today? I know you tend to skip meals when you're busy.\n[00:12 - 00:20] Speaker A: Oh, I did actually, but thanks for checking. I was saying I have a piece of apple here. I thought you might want a little snack.\n[00:21 - 00:24] Speaker B: That's so sweet of you! I am a little hungry, so I'll take it. Thank you.\n[00:24 - 00:26] Speaker A: You're welcome. How are you today?\n[00:27 - 00:29] Speaker B: I'm doing well, thanks for asking. How about you?\n[00:30 - 00:34] Speaker A: I'm good. Just enjoying the fresh air outside during my break.\n[00:35 - 00:38] Speaker B: Oh, before I forget, do you have any plans for the weekend?\n[00:38 - 00:48] Speaker A: Not really, just enjoying the day and planning to relax  by catching up on some reading and maybe going for a long walk in the park if the weather stays nice. How about you?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--42187.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, do you think this necklace will go with my new outfit?\n[00:03 - 00:09] Speaker B: Let me see! Oh wow, it's so pretty! It definitely goes with your outfit. You're going to look\n[00:08 - 00:16] Speaker A: I actually have a different opinion. I think the necklace might be a bit too flashy for the outfit. Maybe something simpler would work better?\n[00:21 - 00:24] Speaker B: I know, I'm so excited! I can't wait to wear it out tonight.\n[00:25 - 00:26] Speaker A: Where are you going again?\n[00:27 - 00:37] Speaker B: Remember, I told you about that new club that just opened up? I'm going there with some  friends from work who have been raving about the amazing atmosphere and live music performances they host every weekend.\n[00:38 - 00:45] Speaker A: Oh, that reminds me, have you thought about the potential risks of going to a new place? It's always good to be cautious.\n[00:45 - 00:50] Speaker B: Oh yeah, that sounds like a lot of fun! Have a great time and make sure to take lots of pictures!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1022129.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Maegan. Do you want to grab coffee with me?\n[00:03 - 00:05] Speaker B: Yeah, I'd love to!\n[00:05 - 00:08] Speaker A: So, have you ever been in a relationship before?\n[00:08 - 00:15] Speaker B: No, I haven't. I've always been too busy with school and extracurriculars. Plus, I'm not really sure what I'm looking for in a partner yet.\n[00:16 - 00:26] Speaker A: No, I haven't either. Honestly, I'm not really sure if I'm ready for a relationship either. But it's definitely something that I'm open to exploring more in the\n[00:25 - 00:33] Speaker B: Sorry to interrupt, but I just want to clarify, when you say you're not ready, is it because of past experiences or just the current phase of life?\n[00:38 - 00:58] Speaker A: It's more about the current phase of life. I haven't had any significant past experiences. But as I was saying, I'm open to exploring more in the future. I think that it would be really nice to find someone special to share my life with, but I'm not sure if I'm ready for that just yet, considering how busy things are right now.\n[00:59 - 01:04] Speaker B: I totally get that. Sometimes, the idea of sharing your life with someone can be both exciting and daunting at the same time.\n[01:05 - 01:14] Speaker A: Yeah, exactly. I think that we're definitely on the same page when it comes to relationships. Who knows, maybe we'll find someone special together one day?\n[01:15 - 01:16] Speaker B: That would be really nice."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--905170.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, you've traveled a lot?\n[00:01 - 00:07] Speaker B: Yes, I have. I've been to all sorts of interesting places, from tropical islands to snowy mountain ranges.\n[00:08 - 00:18] Speaker A: Sorry to interrupt, but when you say \"all sorts of places,\" do you mean different countries or also different kinds of environments, like cities versus rural areas?\n[00:18 - 00:30] Speaker B: Both, actually. I've visited various countries and experienced everything from bustling cities to remote villages. It's definitely a great experience. You get to see so many different cultures and meet new\n[00:30 - 00:33] Speaker A: Speaking of cultures, which one left the biggest impression on you?\n[00:38 - 00:50] Speaker B: That's a tough question, but I think visiting Japan had the most profound impact on me. The blend of tradition and modernity there is just fascinating. But I haven't even mentioned how meeting new people really enhances the whole travel experience.\n[00:51 - 00:54] Speaker A: It must be wonderful to be able to see the world like that.\n[00:54 - 00:57] Speaker B: It is. I highly recommend it if you ever get the chance.\n[00:58 - 01:02] Speaker A: I'm definitely going to try to make it happen. Thank you for talking with me about it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--424960.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Coach, I'm really frustrated. I wanted to hit a home run, but I ended up hitting a\n[00:05 - 00:14] Speaker B: Melody, I understand the frustration, but can we talk about how you approached that curveball? Maybe there's something we can adjust in your stance or swing.\n[00:19 - 00:24] Speaker A: I know that, but it's just frustrating when I feel like I could've done better.\n[00:24 - 00:31] Speaker B: Melody, remember that everyone makes mistakes. It's how you learn from them that shapes your growth as a player and helps you improve for the next time.\n[00:32 - 00:39] Speaker A: Sorry to cut you off, Coach, but do you really think I'll get another chance soon? I just feel like I keep missing opportunities.\n[00:39 - 00:50] Speaker B: You will, Melody. Opportunities always come around, especially when you keep your head up and keep working hard  on your fundamentals and maintaining a positive attitude even during challenging moments like these."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--999278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Kamilla, I want to talk to you about something important.\n[00:03 - 00:06] Speaker B: What is it, Macyn? Is everything okay?\n[00:06 - 00:12] Speaker A: Everything is fine. I just wanted to talk to you about being more careful with your things.\n[00:12 - 00:17] Speaker B: What do you mean? I am careful with my things. I don't take them for\n[00:16 - 00:23] Speaker A: I understand that, but I noticed last week that you left your laptop out in the open at the café. What if someone had taken it?\n[00:28 - 00:33] Speaker B: Oh, I didn't even think about that. You're right. I'll be more cautious with where I leave my things.\n[00:34 - 00:40] Speaker A: I know you're not taking them for granted, but sometimes you might not realize how lucky you are to have them.\n[00:40 - 00:41] Speaker B: What do you mean?\n[00:41 - 01:02] Speaker A: Well, think about it. You have a lot of nice things - more than most people have. And it's important to be grateful for what you have. But sometimes people can take their things for granted and not appreciate them as much as they  should, especially when it's easy to replace them without considering the effort and resources that went into acquiring them in the first place.\n[01:03 - 01:10] Speaker B: I get what you're saying now. It's not just about being careful, but also about recognizing how fortunate I am. I'll definitely work on that.\n[01:11 - 01:13] Speaker A: Thank you, Kamilla. I know you'll do great."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--374749.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey boss, do you have a minute?\n[00:02 - 00:03] Speaker B: Yeah, what's up?\n[00:03 - 00:14] Speaker A: I just wanted to talk to you about how I can improve my work. I'm always looking for ways to make my work better and more efficient. Do you have any\n[00:13 - 00:21] Speaker B: Before you finish, I noticed that sometimes your work can be a bit scattered. If you could get it more organized, it would be easier for everyone to understand and follow.\n[00:26 - 00:37] Speaker A: Oh, I see what you mean. I'll definitely try to be more organized from now on. But I was also going to ask if you had any specific suggestions on tools or methods to help with that.\n[00:38 - 00:42] Speaker B: Sure, we can look into some project management tools that could help you streamline your tasks."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1080121.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey Mitzy, I saw that you were wearing a really cool watch.\n[00:04 - 00:07] Speaker B: Yeah, it's my new watch. I just got it yesterday.\n[00:08 - 00:12] Speaker A: It looks really expensive. How much did it\n[00:11 - 00:17] Speaker B: Oh, actually, I'm not sure. My mom got it for me as a gift, so I didn't really ask how much it cost.\n[00:21 - 00:29] Speaker A: Oh, that makes sense. Well, can I take a look at it? I'm interested in watches too and I've never seen one like that before.\n[00:30 - 00:32] Speaker B: Sure, no problem. Here you go.\n[00:33 - 00:43] Speaker A: Wow, this is an amazing watch! It must have cost a lot of money! Where did your mom get it from? I'm curious because I've been looking for a good place to buy a watch.\n[00:44 - 00:49] Speaker B: Sorry, just curious—do you know if the store she got it from has other brands or just luxury ones?\n[00:50 - 00:57] Speaker A: She got it from a store called Luxury Timepieces. They have really nice watches there but they're pretty pricey.\n[00:57 - 01:04] Speaker B: Yeah, I can imagine! This watch is beautiful though and definitely worth the price tag! Thanks for letting me take a look at it!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--609913.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I'm so happy I finally get to practice the cakewalk! I've been wanting to learn it for\n[00:04 - 00:07] Speaker B: You look great out there! You make it look so easy.\n[00:12 - 00:27] Speaker A: Thanks! It's actually a lot of fun. I love the feeling of moving gracefully across the floor and my skirts swirling around me. It makes me feel  like I'm floating, almost like I'm in a different era where ballroom dances were the highlight of every social gathering.\n[00:28 - 00:32] Speaker B: Sorry, I just have to ask—how long did it take you to get this good?\n[00:32 - 00:41] Speaker A: Oh, it took a few weeks of practice, but I still have a lot to learn. I'm just glad I finally get to learn it. I've been wanting to for months.\n[00:41 - 00:44] Speaker B: Well, you're definitely doing a great job!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--787888.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: What do you mean the engine needs to be replaced? How much is that going to\n[00:04 - 00:06] Speaker B: It's going to be around $2,000.\n[00:11 - 00:16] Speaker A: Are you serious? I can't afford that! What am I supposed to do?\n[00:16 - 00:35] Speaker B: There's not much you can do. You could try finding a used engine, but it's going to be hard to find one that's in good condition. And even if you do find one, it might not work for your car. Or you could try fixing the engine yourself, but that's a lot of work and it's really complicated. I wouldn't recommend it unless you're a mechanic or have someone who can help you with the technical aspects.\n[00:35 - 00:42] Speaker A: Wait, about finding a used engine—do you think it's worth the risk, given the condition it might be in?\n[00:42 - 00:50] Speaker B: Honestly, it's a gamble. Even if you find one, it might not last long or could cause more problems down the line. Is there any way to fix the engine without replacing it?\n[00:51 - 01:00] Speaker A: Not really. The engine is damaged and it's not going to work properly anymore. Even if you could fix it, it would probably cost just as much as replacing it.\n[01:01 - 01:04] Speaker B: I don't have $2,000. I can't afford to replace the engine.\n[01:05 - 01:12] Speaker A: You might be able to get a loan from a bank or credit union. Or you could try selling the car and using the money to buy a new one.\n[01:13 - 01:19] Speaker B: I don't want to sell my car. I've had it for years and it's been really reliable. Plus, I can't afford a new car right now.\n[01:19 - 01:26] Speaker A: Well, you could try finding a used car that doesn't need an engine replacement. That might be your best option right now."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1190867.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, Tal. I'm Luz.\n[00:02 - 00:04] Speaker B: Hey there, Luz. It's nice to meet you.\n[00:04 - 00:09] Speaker A: I know, right? I'm excited to meet you too. You look\n[00:08 - 00:13] Speaker B: Sorry to interrupt, Luz. I just wanted to ask, how did you hear about this event?\n[00:17 - 00:22] Speaker A: Oh, a friend told me about it. But as I was saying, you look great.\n[00:22 - 00:23] Speaker B: Thanks! So do you.\n[00:23 - 00:25] Speaker A: Your voice is really nice too.\n[00:26 - 00:29] Speaker B: Aw, thank you, Luz. You have a pretty voice yourself.\n[00:30 - 00:39] Speaker A: And you smell amazing! What cologne are you  wearing? It has such a nice scent that reminds me of ocean breezes mixed with subtle woody undertones.\n[00:39 - 00:45] Speaker B: Oh, I just have to say, you have a great sense of smell! It's called Cool Water by Davidoff.\n[00:45 - 00:49] Speaker A: I love it! It's so refreshing and masculine at the same time.\n[00:49 - 00:50] Speaker B: Thanks, I'm glad you like it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--532510.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hey, Sarah. I just finished painting the fence white and I feel really accomplished. It looks so nice and clean now!\n[00:07 - 00:12] Speaker B: That's great, Skai! I can imagine how satisfying it must feel to see the fruits of your\n[00:11 - 00:20] Speaker A: Actually, it is! But you know what? I just realized I might have missed a spot on the back side. Do you think I should go back and check?\n[00:24 - 00:34] Speaker B: Hmm, it might be worth double-checking, especially if you want everything to look perfect. But even if you missed a spot, you still did a great job overall. I'm sure your dad is proud of you.\n[00:34 - 00:42] Speaker A: Yeah, he is. He always tells me that hard work pays off in the end, and I'm glad I was able to prove him right with this project.\n[00:42 - 00:52] Speaker B: That's terrific! Your dad is definitely wise to say that hard work pays off. It's so true in life in general—if you want something badly enough and are willing to put in the effort, you can achieve it.\n[00:53 - 01:02] Speaker A: Speaking of putting in effort, I was thinking about tackling the garage next. It's a bit of a mess, but I feel motivated after finishing the fence.\n[01:02 - 01:13] Speaker B: That sounds like a great idea! With your determination and the  positive attitude you've shown throughout this project, I'm absolutely certain you'll have the garage looking spotless and organized in record time."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--692789.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hi, class. Today we're going to be talking about fractions. Can anyone tell me what a fraction\n[00:06 - 00:14] Speaker B: Sorry to interrupt, but could you explain how fractions are used in real-life situations? I think that might help us understand better.\n[00:18 - 00:39] Speaker A: Sure! Fractions are used in many real-life situations, like when you're cooking and need to measure ingredients, or when you're dividing something, like a pizza, into equal parts. For example, if I have one slice of pizza and I cut it into four pieces, each piece would be one fourth, or 1/4, of the pizza. Does that make sense?\n[00:40 - 00:40] Speaker B: Yes.\n[00:41 - 00:46] Speaker A: Good. Now, let's try some problems. Who can tell me what one fourth plus one fourth is?\n[00:46 - 00:47] Speaker B: One half."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--4814.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi, I saw that you were struggling with your project and I wanted to offer my help.\n[00:05 - 00:07] Speaker B: Thank you so much, Luc! I really appreciate it.\n[00:08 - 00:15] Speaker A: No problem at all! I know how frustrating it can be when you're stuck on something. Let me see if I can help you\n[00:14 - 00:17] Speaker B: Actually, I was wondering if you have any experience with similar projects?\n[00:22 - 00:33] Speaker A: Yes, I've worked on a few projects like this before. Okay, so it looks like you're having trouble with this part of the project. Have you tried doing it this way? It might streamline the process.\n[00:33 - 00:37] Speaker B: Wait, before we go into that, can you explain why this method might work better?\n[00:38 - 00:52] Speaker A: Sure, the reason this method might work better is because it simplifies the process and reduces the chance of errors  while also saving you valuable time that you can then dedicate to other important aspects of your project development.\n[00:52 - 00:54] Speaker B: No, I didn't think of that. Thank you, Luc!\n[00:55 - 00:57] Speaker A: You're welcome! I'm glad I could help."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1011922.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I appreciate your concern, but I really need to get this project done. I'll be fine, I\n[00:05 - 00:17] Speaker B: Chaya, you can't stay up all night again. You've been doing this for weeks and it's taking a toll on your health. I know you're worried about the deadline, but if you don't take care of yourself, you won't be able to finish the project at all.\n[00:22 - 00:35] Speaker A: I know that, and I'm trying to be careful. But I can't afford to fall behind on this project. It's too  important to me, and I really want to make sure everything is perfect before the deadline because this could be my big break in the industry.\n[00:36 - 00:52] Speaker B: What's more important, your health or the project? You can always find another way to finish the project if you need to, but if you don't take care of yourself, you won't be able to do anything at all. Please, Chaya, just go to bed and get some rest. You can work on the project in the morning when you're fresh and rested. Trust me, it'll be better that way.\n[00:53 - 01:02] Speaker A: I appreciate your concern, but I think I'll be okay. I'm just going to work a little bit longer and then I'll go to bed. Thanks for talking with me though.\n[01:02 - 01:11] Speaker B: All right, Chaya, but please promise me you'll go to bed soon. And if you start feeling really tired or sick, please stop working and go to bed immediately, okay?\n[01:11 - 01:13] Speaker A: Okay, I promise."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--29039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey there! You seem to be enjoying that book.\n[00:03 - 00:05] Speaker B: Yeah, I am. It's really good.\n[00:05 - 00:06] Speaker A: What's it about?\n[00:06 - 00:10] Speaker B: It's about a girl who goes on an adventure to find her missing\n[00:10 - 00:16] Speaker A: Oh, that reminds me—do you think the story has any parallels with your own life or experiences?\n[00:21 - 00:28] Speaker B: Not really, but it's definitely engaging. I was going to say her missing father. The author does a great job of keeping the suspense.\n[00:29 - 00:34] Speaker A: That sounds like an interesting story. I bet you're excited to see what happens next.\n[00:34 - 00:37] Speaker B: Yeah, I can't wait to see how it ends.\n[00:37 - 00:38] Speaker A: Do you like reading books?\n[00:39 - 00:44] Speaker B: Yeah, I love reading. It's one of my favorite things to do when I want to unwind after a long day.\n[00:44 - 00:48] Speaker A: That's awesome! Do you have a favorite genre or author?\n[00:49 - 00:58] Speaker B: I enjoy a lot of different genres, but I was going to say reading is something I do to relax. I also like to go on walks, listen to music, and spend time with my family and friends."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1031234.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Can you tell me more about the geysers here? They're amazing!\n[00:04 - 00:21] Speaker B: Sure, the geysers are one of the main attractions of Yellowstone. There are over 500 of them in the park. They're formed when hot water and steam rise up through cracks in the earth's surface. The heat from the water and steam can sometimes cause the rocks to break apart, which creates a hole that allows the water and steam to\n[00:20 - 00:28] Speaker A: Sorry to cut in, but I'm curious—are these geysers dangerous to be around? I mean, with all that hot water and steam?\n[00:33 - 00:49] Speaker B: Yes, they can be dangerous if you get too close. The water can be extremely hot, and the steam can cause burns. That's why the park has boardwalks and viewing areas to keep visitors at a safe distance. But as I was saying, the water and steam escape through those holes, and that's what creates the geyser eruption.\n[00:49 - 00:53] Speaker A: That makes sense. So, do you have a favorite geyser?\n[00:54 - 01:06] Speaker B: Yes, I do. My favorite geyser is the Excelsior Geyser Crater. It's the biggest geyser in Yellowstone and it's also one of the most active. It erupts about every 20 minutes or so and can shoot water up to 400 feet in the air!\n[01:07 - 01:10] Speaker A: Wow, that's incredible! I would love to see that someday."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--846418.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hey Hagen, I know you're not supposed to go into the haunted house, but I'll give you a piece of candy if you come with\n[00:06 - 00:11] Speaker B: No way! I'm not going in there! There are ghosts and monsters and who knows what else inside!\n[00:16 - 00:25] Speaker A: Oh come on, it's not like it's really going to be that scary. And besides, I'll be right next to you the whole time. We can leave if it gets too spooky.\n[00:25 - 00:29] Speaker B: I said no! I don't care if you're with me or not, I don't want to go!\n[00:29 - 00:32] Speaker A: Oh, come on Hagen. It'll be fun. I promise.\n[00:33 - 00:34] Speaker B: No! I don't want to go!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--162201.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I've been thinking a lot lately about the meaning of life. Do you ever feel like it's just one big mystery?\n[00:06 - 00:13] Speaker B: I don't know. I guess I've never really thought about it that deeply. I tend to focus on the day-to-day rather than the bigger picture.\n[00:14 - 00:22] Speaker A: Really? I find it hard to believe you haven't had those moments where you just stop and wonder why we're here. Doesn't it ever cross your mind?\n[00:22 - 00:28] Speaker B: Well, maybe sometimes, but I think about it more in terms of what I can control, like my goals and\n[00:27 - 00:39] Speaker A: Ah, so you're more focused on the tangible aspects of life. That makes sense. But don't you ever feel that even those goals might be influenced by something deeper, something we can't fully understand?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--153751.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Mrs. Saunders, why do you think the viola is so often overlooked?\n[00:04 - 00:16] Speaker B: I think the viola is often overlooked because it doesn't have the same range as some of the other instruments in the orchestra. It can be difficult to make the viola sound good, so I think people are sometimes discouraged from\n[00:15 - 00:17] Speaker A: But don't you think it's worth the challenge?\n[00:22 - 00:27] Speaker B: Absolutely! The viola is a beautiful instrument and I think it's well worth the effort to learn how to play it properly.\n[00:28 - 00:43] Speaker A: I'm glad you feel that way, because I really enjoy playing the viola. It's a lot of  fun and very rewarding when you finally master those challenging passages and can appreciate the rich, warm tones that make the viola so special in ensemble playing.\n[00:43 - 00:50] Speaker B: I'm thrilled to hear that! By the way, what pieces are you currently working on? I think you're doing a great job with it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--276032.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I need a rifle.\n[00:01 - 00:03] Speaker B: What kind of rifle do you need?\n[00:03 - 00:06] Speaker A: I don't know. Something that will make me feel safe.\n[00:07 - 00:09] Speaker B: We have a lot of different rifles here. What is your budget?\n[00:10 - 00:12] Speaker A: I don't know. A hundred dollars?\n[00:13 - 00:18] Speaker B: We have some good options for under a hundred dollars. Do you want a semi-automatic or bolt action?\n[00:18 - 00:20] Speaker A: I don't know. What's the difference?\n[00:21 - 00:36] Speaker B: A semi-automatic rifle will fire one round per pull of the trigger, while a bolt action rifle requires you to manually chamber each round before firing. Semi-automatic rifles are generally more expensive, but they can be faster to shoot since you don't have to\n[00:35 - 00:40] Speaker A: Sorry to interrupt, but which type would be better for a beginner like me?\n[00:44 - 01:03] Speaker B: For a beginner, a semi-automatic might be easier to handle because you don't have to manually chamber each round. However, bolt action rifles can be more reliable and easier to maintain. I'll take a semi-automatic then  because I think it will be easier for me to use and I want something that's simple to operate when I'm feeling nervous or under pressure.\n[01:04 - 01:07] Speaker A: Oh, and what about the maintenance? Is it complicated?\n[01:08 - 01:19] Speaker B: Maintenance for a semi-automatic can be a bit more involved, but it's manageable with some basic knowledge. We have a few different options in your price range. This one is a good option. It's lightweight and easy to use.\n[01:20 - 01:22] Speaker A: Okay, I'll take it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--727552.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey there, officer. How's your day going?\n[00:03 - 00:08] Speaker B: Not too bad. Just doing my job and keeping the peace. What about you? What brings you out today?\n[00:09 - 00:19] Speaker A: I was just on my way home from work. I work down at the docks, so I usually take this route home. It's a bit of a shortcut, but it's always been pretty\n[00:17 - 00:24] Speaker B: Actually, I wanted to ask—how late do you usually work at the docks? We've noticed some increased activity in that area too.\n[00:29 - 00:36] Speaker A: I usually finish around 6 PM, but sometimes it can go later. Is there something specific happening around the docks?\n[00:37 - 00:47] Speaker B: Nothing concrete, just some reports of suspicious behavior. We're stepping up patrols in both areas, so just be sure to stay aware of your surroundings and report anything suspicious, okay?\n[00:47 - 00:51] Speaker A: Will do, officer. Thanks for looking out for us.\n[00:51 - 00:54] Speaker B: No problem. Just doing my job. Have a good night."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--418520.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, what are your plans for this weekend?\n[00:02 - 00:08] Speaker B: I'm going to go hiking with some friends. We're going to try out a new trail that we've been wanting to\n[00:07 - 00:11] Speaker A: Wait, which trail are you talking about? I might have been there before.\n[00:16 - 00:19] Speaker B: It's in the mountains, about an hour away from here.\n[00:19 - 00:23] Speaker A: Oh, that sounds familiar. Are you planning to spend the night up there?\n[00:24 - 00:27] Speaker B: Yeah, we're going to camp out too. It should be a lot of fun.\n[00:27 - 00:32] Speaker A: Well, have a great time! I'm sure you'll come back with some great stories."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--438636.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey dad. I found this letter you wrote to me.\n[00:03 - 00:07] Speaker B: Oh, that? Yeah, I meant to give that to you a while ago but I never got around to\n[00:07 - 00:11] Speaker A: It's really sweet. I had no idea you felt this way about me.\n[00:16 - 00:24] Speaker B: Of course I do! You're my son and I'm proud of you. No matter what you do in life, know that I will always be here to support you, through thick and thin.\n[00:24 - 00:34] Speaker A: Sorry to cut you off, Dad, but I just wanted to say—I feel the same way about you. I don't always say it, but I really appreciate everything you've done for me.\n[00:34 - 00:41] Speaker B: Thanks, son. That means a lot to me too. I just want you to be happy and successful. That's all any parent could ever want for their child."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1083511.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: No, it's okay. I've got this. You just relax and let me take care of dinner tonight.\n[00:05 - 00:07] Speaker B: Are you sure? I don't mind\n[00:06 - 00:12] Speaker A: I'm positive. Why don't you go sit down and I'll bring you a glass of wine in a few minutes?\n[00:17 - 00:25] Speaker B: Actually, before you do that, are you sure you don't need help with anything at all? I mean, setting the table or maybe chopping some vegetables?\n[00:25 - 00:31] Speaker A: No, really, I've got everything under control. Just sit back and relax. I'll handle it all.\n[00:31 - 00:34] Speaker B: That sounds perfect. Thank you, Jamarian.\n[00:35 - 00:37] Speaker A: You're welcome. I'll be right back.\n[00:37 - 00:41] Speaker B: No rush. I'm enjoying watching you cook. You're really good at it.\n[00:41 - 00:49] Speaker A: Thanks. I love cooking, so it's always a pleasure to do it for someone else. Especially when that someone is as beautiful as you are.\n[00:50 - 00:52] Speaker B: Thank you, Jamarian. You're sweet."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--615914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I've been thinking a lot about having a child.\n[00:03 - 00:04] Speaker B: Oh? What's brought this on?\n[00:04 - 00:16] Speaker A: I don't know... I just feel like I'm ready to take on the responsibility of caring for another human being. And I want to raise a child with my own values and\n[00:15 - 00:21] Speaker B: Wait, when you say \"values and beliefs,\" do you mean the ones we both share, or are there specific ones you're thinking of?\n[00:25 - 00:40] Speaker A: I think it's a mix of both. I want to make sure we instill the values that are important to us as a couple. But obviously, it's a huge commitment, and I'm willing to make that because I believe it will be one of the most rewarding experiences of our lives.\n[00:41 - 00:47] Speaker B: I agree, it's a massive commitment. But before we go any further, have we thought about how this will impact our current lifestyle?\n[00:48 - 00:55] Speaker A: That's a good point. We should definitely discuss how this decision will affect our day-to-day lives and make sure we're fully prepared."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--501206.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Thanks for agreeing to meet with me, Maria. I really appreciate it.\n[00:04 - 00:09] Speaker B: It's no problem. I know you're looking for information on the city and I can help you out. But it's going to\n[00:08 - 00:13] Speaker A: How much are we talking about here? I need to know if I can afford this.\n[00:17 - 00:19] Speaker B: 10,000 euros.\n[00:19 - 00:23] Speaker A: 10,000 euros?! That's a lot of money.\n[00:23 - 00:36] Speaker B: You're not the only one looking for information. And what I have is worth  every penny because it's highly detailed and hard to come by, containing classified government records and insider knowledge that could change your entire perspective on the city's history.\n[00:36 - 00:43] Speaker A: Alright, I understand. I'll give you the money. But you have to promise me that the information is good.\n[00:43 - 00:46] Speaker B: It's good, I promise. You won't be disappointed."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--403013.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I feel so much better since I started taking this medication. It's like night and day.\n[00:05 - 00:10] Speaker B: I'm glad to hear it. How have your mood and energy levels been since you started the medication?\n[00:09 - 00:15] Speaker A: Actually, I just wanted to ask, have you noticed any side effects since you started the medication?\n[00:20 - 00:25] Speaker B: They've both improved a lot. I was really struggling before, but now I feel like myself again.\n[00:26 - 00:37] Speaker A: That's great to hear. It's important to keep up with the medication, though, so that you don't relapse. Are you doing anything else to support your mental health, like therapy or exercise?\n[00:38 - 00:42] Speaker B: Sorry to cut in, but speaking of relapse, what should I do if I ever forget to take a dose?\n[00:43 - 00:57] Speaker A: Yes, I am. I make sure to take it every day and I haven't missed a dose. If you do forget, it's important to take it as soon as you remember, unless it's almost time for your next dose. In that case, just skip the missed dose.\n[00:58 - 01:06] Speaker B: That's good. Let me know if you have any problems with the medication or if your symptoms start to come back. We can adjust the dosage or try something else if necessary.\n[01:07 - 01:09] Speaker A: I will. Thank you so much for your help.\n[01:09 - 01:10] Speaker B: You're welcome."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1020068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey Jake, I'm moving to the city.\n[00:02 - 00:06] Speaker B: What? Why would you want to leave this place? It's your\n[00:05 - 00:10] Speaker A: I'm just sick of it here. I need a change. There's nothing for me here anymore.\n[00:15 - 00:26] Speaker B: I don't understand. We've been best friends since we were kids. What about all the good times we've had? Aren't you going to  think about all the people who care about you here and how much they'll miss seeing you around every day?\n[00:26 - 00:31] Speaker A: Of course I'm going to miss you. But this is my decision and I need to do what's best for me.\n[00:32 - 00:33] Speaker B: I don't want you to go.\n[00:34 - 00:35] Speaker A: I have to. Goodbye, Jake."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--608672.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, babe. I've been meaning to talk to you about something. It's about my debt.\n[00:05 - 00:07] Speaker B: What about it? Is everything okay?\n[00:07 - 00:16] Speaker A: Well, no, not really. I'm pretty far behind on my payments and I'm starting to feel really stressed out about it. I don't know how I'm going to\n[00:15 - 00:21] Speaker B: How far behind are you? We need to understand the situation fully before we can come up with a solution.\n[00:25 - 00:30] Speaker A: I'm behind by a couple of months. I owe about $20,000 in total.\n[00:30 - 00:37] Speaker B: Okay, that's not too bad. We can definitely come up with a plan to pay that off. Do you have a payment plan set up already?\n[00:38 - 00:52] Speaker A: Yeah, I do. But the payments are really high and I don't know how I'm going to make them each  month without cutting into other essential expenses like groceries or utilities which are already stretched pretty thin as it is.\n[00:52 - 00:58] Speaker B: Wait, how high are the payments? Maybe we can renegotiate the terms or find a way to lower them.\n[00:58 - 01:08] Speaker A: The monthly payments are around $600. I was going to say I'm not sure where to cut back, but yeah, maybe renegotiating could be an option.\n[01:08 - 01:17] Speaker B: Let's start by reviewing your budget and seeing where we can make adjustments. If that doesn't work, we can explore other options like consolidation or refinancing.\n[01:17 - 01:24] Speaker A: That sounds like a good idea. I really appreciate your help with this. I've been feeling really overwhelmed by it all.\n[01:25 - 01:28] Speaker B: Of course, babe. I'm here for you. We'll get through this together."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--317784.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, I'm sorry about last night. I know I left without you and we were supposed to go to the movies together.\n[00:07 - 00:09] Speaker B: Yeah, you did. What happened?\n[00:09 - 00:13] Speaker A: I don't know, I just kind of panicked and\n[00:12 - 00:14] Speaker B: Panicked? Why? Was something wrong?\n[00:19 - 00:26] Speaker A: It was just a really spur-of-the-moment thing. Plus, we were running late and I knew you really wanted to see the movie.\n[00:26 - 00:32] Speaker B: Neva, this isn't the first time you've done this. You've left me before without any explanation and it's really hurtful.\n[00:33 - 00:39] Speaker A: I know, and I'm sorry. It won't happen again, I will do my best to be more mindful of your feelings.\n[00:40 - 00:44] Speaker B: But how can I trust that? It feels like every time you say that, something else happens.\n[00:44 - 00:51] Speaker A: Sara, please. I'm sorry, okay? I'll make it up to you. Just give me another chance."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--61606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Eriq, I need your help.\n[00:02 - 00:03] Speaker B: What is it?\n[00:04 - 00:11] Speaker A: I'm trying to convince the school board to approve my proposal for a new after-school program, but I'm having trouble getting enough\n[00:10 - 00:15] Speaker B: Do you think it's because of budget concerns? I know they've been tight with funds lately.\n[00:20 - 00:40] Speaker A: That could be part of it, but I think it's more about them not fully understanding the impact this program could have. That's why I really need your help. You're good at convincing people. You always know what to say and how to say it. If you could just talk to the school board members and convince them to support my proposal, I know we could make this happen.\n[00:41 - 00:59] Speaker B: Lizabeth, I don't know if I can do it alone, but I can definitely try to get a better sense of their concerns and see if we can address them together by  organizing a series of meetings where we can present detailed case studies of similar successful programs and demonstrate how this initiative would benefit our community in both the short and long term.\n[01:00 - 01:09] Speaker A: Eriq, please. This is important to me. And I really believe in this project. I know we can make a difference if we can just get it off the ground.\n[01:09 - 01:19] Speaker B: Alright, Lizabeth. I'll help you out. But let me talk to them first and see what they're thinking. Maybe there's something we're not seeing here that we can address in our proposal."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--766305.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I'm so sorry I'm late, I got sidetracked and ended up playing with my cat for way longer than I\n[00:06 - 00:11] Speaker B: No worries at all, but what made you finally remember that you were supposed to be going to the store?\n[00:16 - 00:32] Speaker A: Well, I ran out of food for my cat and realized that I needed to go buy some more. But by that time, I had no idea where the store  was located since I hadn't been there in a while and the neighborhood has changed quite a bit with all the new construction projects going on recently.\n[00:32 - 00:38] Speaker B: Wait, you didn't know where the store was? That must have been so stressful! How did you eventually find your way back home?\n[00:39 - 00:47] Speaker A: Well, luckily I remembered where our street was, so I just kept walking in that direction until I finally found it. But it took me hours!\n[00:48 - 00:55] Speaker B: Yeah, getting lost like that can be really tough. Next time make sure you bring your phone with you so you can call for help if you need it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--7207.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Your Highness, I have wanted to kiss you since the day we\n[00:03 - 00:09] Speaker B: Kyara, wait—did you just say since the day we met? I thought you didn't like me. You were always so distant.\n[00:14 - 00:23] Speaker A: I was afraid to get close to you, because I knew I would fall in love with you. And now, here we are, kissing each other like there's no tomorrow.\n[00:23 - 00:30] Speaker B: I never thought this would happen between us. But now that it has, I don't want it to end. I want us to be together, no matter what.\n[00:30 - 00:34] Speaker A: Stop? Me neither. I want to spend the rest of my life with you, Your Highness.\n[00:34 - 00:37] Speaker B: And I want to spend the rest of my life with you, Kyara."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--419679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm so sorry that happened, Memphis. It sounds like it was really tough for you.\n[00:04 - 00:08] Speaker B: Yeah, it was. I didn't know what to do or how to\n[00:07 - 00:12] Speaker A: React? I can imagine. Sometimes, in the heat of the moment, it's hard to think clearly.\n[00:18 - 00:28] Speaker B: Exactly. It can be really difficult when we're faced with conflict, especially with people we care  deeply about, because our emotions tend to cloud our judgment and make us react in ways we might regret later.\n[00:29 - 00:38] Speaker A: About, yeah. And it's even harder when emotions are involved. But I think you did the best you could under the circumstances. And that's all anyone can ask for.\n[00:38 - 00:41] Speaker B: Thanks, Josefina. That means a lot coming from you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--700208.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Thank you so much for promoting me to head cashier, boss. I really appreciate it.\n[00:04 - 00:14] Speaker B: Don't thank me, Aleeyah. Thank yourself. You've been working hard and doing a great job ever since you started here. We just wanted to recognize your efforts and give you more\n[00:13 - 00:23] Speaker A: Speaking of responsibility, I was wondering if there are any specific areas you'd like me to focus on first? I want to make sure I'm prioritizing the right tasks.\n[00:28 - 00:45] Speaker B: That's a great question. One area that could use some immediate attention is the scheduling. We've had a few issues with shifts overlapping or not being covered, so if you could  review the current schedule and make adjustments where necessary while also considering employee availability and business peak hours to optimize our staffing efficiency.\n[00:45 - 00:55] Speaker A: Absolutely, I can start working on the schedule right away. I'll also keep an eye on the cash flow since that's crucial for daily operations."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--595180.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Romel, I'm so glad you're feeling better.\n[00:03 - 00:06] Speaker B: Yes, thank you. Your herbal remedy did the\n[00:05 - 00:13] Speaker A: Sorry to interrupt, but I'm really curious—what made you decide to come and find me in the first place? We hardly knew each other.\n[00:18 - 00:32] Speaker B: Well, I'd heard that you were a skilled healer and I was desperate for help. Plus, I knew that you owed me a favor after I helped you out with that situation with your  brother last year when he was struggling to find work and I connected him with that job opportunity at the docks.\n[00:33 - 00:35] Speaker A: So it was just convenience then?\n[00:35 - 00:42] Speaker B: No, not at all. I really do appreciate everything you've done for me, and I also wanted to trust someone who I knew had a good heart."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--158293.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, how did you like the book?\n[00:01 - 00:05] Speaker B: I loved it! The ending was so shocking, I couldn't believe what happened.\n[00:05 - 00:13] Speaker A: Sorry to interrupt, but I just have to ask—did you see that twist with the protagonist coming? I was totally blindsided.\n[00:14 - 00:17] Speaker B: No, I didn't see it coming at all! It was so unexpected.\n[00:18 - 00:21] Speaker A: Yeah, I know. I couldn't put it down.\n[00:21 - 00:24] Speaker B: Me neither. I'm so glad you wanted to read it.\n[00:25 - 00:30] Speaker A: Yeah, I was curious about the protagonist's journey and how it would\n[00:29 - 00:37] Speaker B: Oh, speaking of the journey, what did you think about that part where the protagonist had to make that impossible choice? It really stuck with me.\n[00:42 - 00:47] Speaker A: It was definitely a rollercoaster ride. There were so many twists and turns.\n[00:47 - 00:49] Speaker B: I know! I didn't see any of them coming.\n[00:50 - 00:53] Speaker A: That's what made it so great. It kept you guessing the whole time.\n[00:54 - 00:57] Speaker B: Definitely. It was a great book. Thanks for lending it to me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--179972.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Anamarie, I can't believe you would do this to me.\n[00:03 - 00:08] Speaker B: What? Cheat on you? You're not exactly the perfect boyfriend yourself, Abrahan.\n[00:08 - 00:14] Speaker A: That's not the point and you know it! How could you do this to me? To our\n[00:13 - 00:21] Speaker B: Abrahan, I know you're hurt, but can we at least talk about what went wrong between us? Maybe we can figure out why this happened.\n[00:26 - 00:31] Speaker A: I don't know. It just happened. I'm sorry, Abrahan. I really am.\n[00:32 - 00:39] Speaker B: Sorry doesn't cut it, Anamarie. I trusted you and you betrayed me. I don't think we can ever get past this pain and rebuild what we had.\n[00:39 - 00:46] Speaker A: I understand you're angry, but can we at least try? I love you, Abrahan. I don't want to lose you.\n[00:46 - 00:55] Speaker B: I don't know, Anamarie. I need some time to think about  this situation and process everything that's happened between us before I can make any decisions about our future together."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--805432.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Agh! I just dropped this plate and it shattered, and I think I'm bleeding.\n[00:04 - 00:05] Speaker B: Let me take a look.\n[00:06 - 00:07] Speaker A: It really hurts.\n[00:07 - 00:12] Speaker B: Okay, let's get you to the bathroom so we can clean it up and see how bad it\n[00:11 - 00:13] Speaker A: Do you think I'll need stitches?\n[00:18 - 00:25] Speaker B: We'll see once we clean it up. Sarah helps Abril to the bathroom and cleans his wound. After examining it, she says,\n[00:25 - 00:33] Speaker A: Well, the cut isn't too deep, but you're going to need a couple of stitches. I'll call the doctor and see if we can come in today.\n[00:33 - 00:43] Speaker B: Ugh, this is so annoying. I was just getting ready to  finish my project before the deadline and now this accident is going to set me back by at least a couple of hours if not more.\n[00:43 - 00:52] Speaker A: I know it's frustrating, but your health is more important right now. Don't worry about dinner, I'll take care of it. You just focus on getting better."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1182464.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: That's great! So we can definitely look for something that involves working with your hands and solving problems. Are you open to trying something new or are you\n[00:09 - 00:17] Speaker B: Actually, before we go into that, I just remembered—do you think there are jobs that combine mechanics and computers? Something that could tie in both of those skills?\n[00:22 - 00:30] Speaker A: Absolutely! There are fields like automotive technology or even robotics where you could use both. We can definitely explore those options."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--762267.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what are you working on?\n[00:02 - 00:04] Speaker B: Just running some tests. You?\n[00:04 - 00:08] Speaker A: I'm analyzing some data. It's pretty interesting\n[00:08 - 00:10] Speaker B: Interesting? What kind of trends are you seeing?\n[00:15 - 00:31] Speaker A: Well, I'm not sure if it's anything groundbreaking, but I'm finding that the data supports  the hypothesis we had about customer behavior, particularly their purchasing patterns during seasonal changes and how they respond to different marketing strategies.\n[00:31 - 00:34] Speaker B: Wait, does that mean our initial assumptions were correct?\n[00:34 - 00:39] Speaker A: Yes, it seems so. I'm just happy to be able to contribute in some way.\n[00:39 - 00:41] Speaker B: Absolutely. Every little bit helps."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--774546.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey Kaisyn, it's Kaniyah. I was just thinking about you and wanted to\n[00:03 - 00:09] Speaker B: Oh, hey Kaniyah! Sorry to jump in, but I was just thinking about you too. How have you been?\n[00:14 - 00:22] Speaker A: I'm doing good. Just missing you a lot lately. I was thinking about the time we spent together last summer and how much fun we had.\n[00:22 - 00:27] Speaker B: Yeah, I miss those times too. We should really try to get together more often.\n[00:27 - 00:38] Speaker A: I'd like that. I feel like we've both been so busy lately and it's hard to  make plans that actually stick because our schedules never seem to align properly no matter how much we try.\n[00:39 - 00:46] Speaker B: I know, right? It's like we're always running around. But I was wondering, do you have any free time coming up? Maybe we can plan something soon.\n[00:47 - 00:57] Speaker A: That sounds perfect. I was just about to say it's hard to find time to just relax and be with each other, but I'm definitely looking forward to spending more time with you soon."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--437038.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, I won the money. I have $5 more now.\n[00:03 - 00:06] Speaker B: Wow, congratulations! How did you\n[00:05 - 00:10] Speaker A: Sorry, I just wanted to ask—did you win it from a game or something else?\n[00:14 - 00:16] Speaker B: I was just really lucky, I guess.\n[00:17 - 00:20] Speaker A: That's amazing! What are you going to do with the money?\n[00:20 - 00:25] Speaker B: I don't know. Maybe save it or put it towards something I've been wanting to buy for a while.\n[00:25 - 00:30] Speaker A: Or maybe treat yourself to something small? It's okay to enjoy a little, too.\n[00:31 - 00:33] Speaker B: That's a good idea. You should be careful with your money.\n[00:34 - 00:35] Speaker A: Yeah, I know."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--769683.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: I'm really interested in history. It's so fascinating to learn about how people lived in different times and how they were affected by the events around them, especially when you consider the cultural and social dynamics at play in different eras.\n[00:14 - 00:21] Speaker B: Sorry to jump in, but I was just thinking—how do you usually approach learning about history? Do you focus on specific events or time periods?\n[00:22 - 00:45] Speaker A: I usually start with major events, but then I dive into the daily lives of people during those times. It's interesting to see how historical events shaped their lives. And you're right, there are definitely some lessons that we can learn from history. But it's also important to remember that history is always changing. As new information comes to light, our understanding of the past changes as well.\n[00:45 - 00:55] Speaker B: That makes sense. I guess I never really thought about it like that before. But it does seem like there would be a lot of gaps in our knowledge if we only relied on what was recorded\n[00:54 - 01:08] Speaker A: Exactly! And that's why historians are always trying to fill in those gaps and build a more complete picture of what happened. It's an ongoing process, and sometimes we're successful and sometimes we're not, but that's what makes it so intriguing."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--578559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, how have things been going for you lately?\n[00:02 - 00:06] Speaker B: Not too bad, I guess. Just been really busy with work and\n[00:05 - 00:11] Speaker A: Speaking of work, have you had any major projects recently that have been taking up most of your time?\n[00:16 - 00:34] Speaker B: Yeah, actually, there's this one big project that's been pretty demanding. It's been keeping me on my toes, but it's also kind of exciting. I was going to say that it's also been a bit stressful, but  I'm trying to stay positive and focus on the progress we're making, which has been significant despite the tight deadlines and complex requirements we're dealing with.\n[00:34 - 00:41] Speaker A: I totally get that! Stressful projects can be tough, but they often lead to the most growth, don't you think?\n[00:41 - 00:46] Speaker B: Absolutely, they do. And I guess that's the silver lining—learning and growing through the challenges."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1188975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm so sorry I'm late, I had a really hard time finding parking.\n[00:04 - 00:07] Speaker B: That's okay, we'll just get started right away.\n[00:07 - 00:11] Speaker A: I feel really anxious, I don't like going to the dentist.\n[00:11 - 00:17] Speaker B: It's going to be okay, I promise. We'll just take a look at your teeth and then we can get you out of here as soon as\n[00:16 - 00:20] Speaker A: I just can't help but feel nervous. Is there any way to make this quicker?\n[00:25 - 00:29] Speaker B: We'll do our best to be quick. So how have your teeth been feeling lately?\n[00:29 - 00:40] Speaker A: Fine, I guess. Just a little sensitive to cold  drinks and sometimes even when I breathe in cold air, especially in the mornings when the temperature drops significantly outside.\n[00:41 - 00:46] Speaker B: Sensitive to cold? That could indicate a few things. Have you been using any new dental products recently?\n[00:47 - 00:52] Speaker A: No, I haven't changed anything. But I was going to say that it's been happening more frequently."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--782660.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm just so nervous. I don't know if I can do\n[00:02 - 00:07] Speaker B: Hey, it's okay. Just take a deep breath and relax. You're doing great so far.\n[00:11 - 00:18] Speaker A: I don't know if I can answer these questions the way you want because sometimes I get flustered and lose my train of thought.\n[00:19 - 00:23] Speaker B: Don't worry about what I want. Just be honest and tell the truth. That's all you can do.\n[00:23 - 00:27] Speaker A: But what if they don't believe me? What if they think I'm lying?\n[00:27 - 00:35] Speaker B: Anwar, look at me. You're not going to get in trouble for telling the truth. I promise you that. Just relax and answer the questions the best you can, okay?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--243573.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Sarah, I need to talk to you about something.\n[00:03 - 00:04] Speaker B: What is it? You look serious.\n[00:05 - 00:19] Speaker A: I am. This is important. I've been thinking a lot lately about the government and how they're handling things. I don't agree with what they're doing and I want to do something about it. I want to join the resistance and fight against the\n[00:19 - 00:26] Speaker B: You want to what? Are you crazy? Elsy, you can't just go around fighting the government! They're too powerful! You'll get yourself killed!\n[00:31 - 00:37] Speaker A: I know it's risky, but I believe in what we're fighting for. This is something worth fighting for, Sarah.\n[00:37 - 00:39] Speaker B: I don't know, Elsy. I'm scared for you.\n[00:40 - 00:55] Speaker A: Sarah, I understand your concerns. But this is something I need to do. I can't just sit by and do nothing while the government does things that are  harming innocent people and violating basic human rights through their oppressive policies and unchecked power grabs.\n[00:56 - 01:02] Speaker B: What exactly are they doing that's so wrong? Maybe there's another way to address this without putting yourself in danger.\n[01:02 - 01:11] Speaker A: I don't want to lose you, Elsy. But if this is something you feel like you need to do, then I support you. Just be careful, okay?\n[01:11 - 01:13] Speaker B: I will. I promise."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--556505.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, Mom.\n[00:01 - 00:03] Speaker B: Hey, baby. How did you sleep?\n[00:04 - 00:08] Speaker A: I slept alright. I had a few weird\n[00:07 - 00:09] Speaker B: Oh, weird dreams? What were they about?\n[00:15 - 00:19] Speaker A: I'm not sure, but they were kind of random. Other than that, it was good.\n[00:19 - 00:22] Speaker B: That's good, sweetie. Did you have anything you wanted to talk about?\n[00:23 - 00:39] Speaker A: Not really. Just the usual stuff. School, friends, things like  how to handle some of the pressures I'm feeling lately, especially with upcoming exams and trying to balance social life with academic responsibilities while still making time for self-care and personal growth.\n[00:39 - 00:42] Speaker B: Speaking of school, how's everything going with your classes?\n[00:43 - 00:48] Speaker A: It's going okay. I was just going to say friends and things like that have been pretty normal too.\n[00:49 - 00:54] Speaker B: Okay. Well, if you ever want to talk about anything, you know I'm always here for you.\n[00:54 - 00:56] Speaker A: Thanks, Mom. I love you.\n[00:57 - 00:58] Speaker B: I love you too, sweetheart."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--249372.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey there, Jerron! Welcome to the crime beat. I'm sure you're excited to get started on such an important story.\n[00:07 - 00:14] Speaker B: Yeah, I am! I can't wait to get started and see what kind of leads we can uncover. It's going to be a challenge, but I'm ready for it.\n[00:15 - 00:22] Speaker A: Well, you came to the right place. We've got a lot of experience with this sort of thing around here. So, where do you want to\n[00:21 - 00:29] Speaker B: Actually, before we dive into that, could you tell me more about the team's experience with similar cases? It might help me get a better sense of how we approach things here.\n[00:34 - 00:52] Speaker A: Sure, we've handled a variety of cases, ranging from high-profile murders to organized crime. Our approach is very methodical, and we rely heavily on building strong relationships with sources. Speaking of which, do you have any specific methods you prefer when it comes to gathering information?\n[00:52 - 01:01] Speaker B: I'm glad you mentioned sources. How do you usually establish those relationships? I think that will be crucial for us to get reliable information.\n[01:01 - 01:17] Speaker A: Building trust is key. It often starts with small, consistent interactions—showing that you're genuinely interested in their perspective. I was going to mention specific leads we have on this case, but we can circle back to that once we discuss how to handle sources."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1010433.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Elena, I know you killed my brother.\n[00:03 - 00:07] Speaker B: What? No, I didn't. I don't know what you're\n[00:06 - 00:10] Speaker A: Stop lying, Elena! I found out that you were the one who killed him.\n[00:15 - 00:18] Speaker B: How could you say that? I loved your brother. I would never hurt him.\n[00:19 - 00:21] Speaker A: Then why did you do it? Why did you kill him?\n[00:22 - 00:32] Speaker B: I don't know...I don't know why I did it. It was like something took over me and I just couldn't  control myself no matter how hard I tried to stop, as if some dark force was controlling my actions against my will.\n[00:33 - 00:39] Speaker A: Couldn't help yourself? That's not good enough, Elena. You need to give me a better explanation than that.\n[00:40 - 00:43] Speaker B: Eliah, please forgive me. I am so sorry for what I've done.\n[00:44 - 00:48] Speaker A: I can't just forgive you, Elena. You need to pay for what you've done.\n[00:48 - 00:53] Speaker B: I know. I am willing to do anything to make up for it. Just please, Eliah, forgive me.\n[00:53 - 00:57] Speaker A: I don't know if I can ever forgive you, Elena, but I will try."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--609826.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, what's up?\n[00:01 - 00:02] Speaker B: Not much, what's up with you?\n[00:03 - 00:08] Speaker A: Just trying to stay in control. I can't stand it when things are out of my\n[00:07 - 00:12] Speaker B: Sorry to jump in, but when you say \"out of your control,\" do you mean at work or just in general?\n[00:17 - 00:24] Speaker A: Mostly in general, but work definitely adds to it. It's like you're constantly on edge, waiting for something to go wrong.\n[00:25 - 00:32] Speaker B: Yeah, I totally get that. And when it does go wrong, it feels like everything's spiraling. How do you manage to keep it all together?\n[00:32 - 00:37] Speaker A: Sometimes I don't even know myself. But I guess it's just who I am.\n[00:37 - 00:42] Speaker B: Well, I think you're amazing. To be able to handle all that stress and still function is really impressive.\n[00:43 - 00:46] Speaker A: Thank you. It's nice to know that someone sees me that way."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1030006.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm sorry, Mama. I didn't mean to disappoint you.\n[00:03 - 00:07] Speaker B: It's not that you disappointed me, Casie. It's that I'm worried about\n[00:06 - 00:11] Speaker A: I understand, but I just want you to know that I'll try to do better next time.\n[00:16 - 00:22] Speaker B: Next time? There shouldn't be a next time. This is not who we are, Casie. We are not people who lose control like that.\n[00:22 - 00:36] Speaker A: But everyone makes mistakes, right? Isn't that what you've always  said about learning from our experiences and becoming better people through reflection and taking responsibility for our actions, even when it's difficult?\n[00:36 - 00:48] Speaker B: Yes, but this was more than just a mistake. This was dangerous and could have had serious consequences for you and for our family if anyone had found out about it. You're lucky that no one did or we would have been in a lot of trouble."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--985415.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Wow, this place is amazing! I can't believe I'm actually here in Peru.\n[00:05 - 00:11] Speaker B: Yes, it is a very special country with a lot of history and culture. I'm glad you're enjoying your\n[00:10 - 00:19] Speaker A: Sorry to jump in, but I just wanted to ask—do you have any recommendations for must-see places before I leave? I don't want to miss anything crucial.\n[00:24 - 00:33] Speaker B: Absolutely! You should definitely visit Machu Picchu if you haven't already. Also, the Sacred Valley is breathtaking. There's so much more to explore, but those are must-sees.\n[00:34 - 00:43] Speaker A: I definitely am! I've already seen so many incredible things and I feel like I've only just scratched the surface. Your country has such a fascinating past.\n[00:44 - 00:55] Speaker B: Thank you, we are very proud of our heritage. There is so much to learn about Peru and its people. I hope you have the opportunity to explore more while you are still here, especially some of the lesser-known sites that are equally amazing.\n[00:55 - 01:03] Speaker A: Oh, I definitely plan to! And Diego, thank you so much for all your help and advice along the way. You've been a great tour guide.\n[01:04 - 01:10] Speaker B: You're welcome, Rooney. It has been my pleasure to show you around Peru. I hope you have a safe and enjoyable journey home."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--649949.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Why do you have to be so cocky all the time? It's really annoying.\n[00:04 - 00:08] Speaker B: I'm not trying to be annoying, I'm just confident in\n[00:07 - 00:13] Speaker A: Confident or not, it still comes off as arrogance, and it makes me look bad by comparison.\n[00:18 - 00:24] Speaker B: I'm sorry if I make you look bad, but I don't mean to. I guess I just don't see how being confident is a bad thing.\n[00:24 - 00:31] Speaker A: It's not a bad thing, but you don't need to flaunt it all the time. It just makes you seem like you're trying to show off.\n[00:32 - 00:36] Speaker B: I'm not trying to show off, I'm just proud of myself and what I've accomplished.\n[00:36 - 00:48] Speaker A: That's fine, but there's a difference between being proud and being  overbearing and making others feel inferior, which can create unnecessary tension in our relationship and among our peers.\n[00:49 - 00:55] Speaker B: If you mean cocky, I get it. But sometimes I can't help but feel confident about myself. It's just who I am.\n[00:55 - 01:01] Speaker A: Well, maybe you should try to tone it down a bit, especially around me. It really gets on my nerves.\n[01:02 - 01:05] Speaker B: I'll try to tone it down, but I can't promise anything."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--356688.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, what are you looking forward to the most after graduation?\n[00:03 - 00:09] Speaker B: I don't know. Just being done with school, I guess. Having more free time to do what I\n[00:08 - 00:14] Speaker A: Sorry, I just thought of something—how do you plan to use that free time? Any specific hobbies or projects in mind?\n[00:20 - 00:27] Speaker B: Honestly, I haven't thought that far ahead. I guess I might pick up some old hobbies again, like painting or maybe even start learning something new. You?\n[00:27 - 00:41] Speaker A: Yeah, same here. It'll be nice to not have to worry about homework and tests all the time. But I'm also kind of scared about what the future holds, especially when it comes to finding a job that I really enjoy.\n[00:41 - 00:42] Speaker B: Scared? Why?\n[00:43 - 00:54] Speaker A: I was going to say, scared about what comes next. It just feels like there's a lot of pressure to figure out your life after graduation. And I have no idea what I want to do with my life.\n[00:55 - 01:06] Speaker B: Yeah, that can be tough. But you'll figure it out eventually. And even if you don't have everything figured out right away, it's not the end of the world. There's always time to make changes and try new things later on down the road."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--98281.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: I'm going to pick up some money because I want to pay for my family's trip to the park and make sure we have enough for tickets, food, and maybe even some souvenirs if there's any left over.\n[00:12 - 00:15] Speaker B: How are you going to get that much money? Do you have a plan?\n[00:15 - 00:25] Speaker A: I'm going to ask my mom if she can lend me some money since she's always been supportive of our family outings and understands how important these moments are for us.\n[00:25 - 00:27] Speaker B: Why don't you just use your allowance?\n[00:27 - 00:38] Speaker A: My allowance isn't enough. I need to get at least $50 so we can all go and enjoy the full experience without worrying about running short on funds halfway through the day.\n[00:39 - 00:42] Speaker B: That's a lot of money. Are you sure your mom will\n[00:41 - 00:53] Speaker A: She said she would if I really needed it. Besides, it's not like I'm asking for a new car or anything. Just some money for the park which will create wonderful memories for our whole family that we'll cherish forever."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--869455.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Thanks, man. That was really fun.\n[00:02 - 00:04] Speaker B: Yeah, no problem. I'm glad you enjoyed it.\n[00:05 - 00:10] Speaker A: I definitely did. It's been a while since I've had the chance to sing like\n[00:10 - 00:14] Speaker B: Oh, by the way, what was the name of that last song we played? I really liked it.\n[00:19 - 00:29] Speaker A: Oh, that was \"Under the Bridge\" by the Red Hot Chili Peppers. It's one of my favorites. Anyway, I was saying it's been a while since I've had the chance to sing like that.\n[00:30 - 00:33] Speaker B: Well, you're welcome to come back and sing anytime you want.\n[00:33 - 00:38] Speaker A: Thanks, I might just take you up on that. So, how did you get into music?\n[00:38 - 00:50] Speaker B: Oh, well, I've been playing guitar for as long as I can remember. My dad is a big music fan, so he got me started when I was young. And then I just sort of started experimenting with different styles and genres, and it all kind of clicked.\n[00:50 - 00:55] Speaker A: Did your dad play any instruments too, or was he more of a listener?\n[00:55 - 01:01] Speaker B: He was more of a listener, but he had a great ear for music. Anyway, I just sort of ran with it from there.\n[01:01 - 01:04] Speaker A: That's really cool. Do you play any other instruments?\n[01:05 - 01:07] Speaker B: Yeah, I also play bass and drums.\n[01:08 - 01:11] Speaker A: Wow, that's impressive. I can barely play the guitar.\n[01:12 - 01:14] Speaker B: It's not that hard once you get the hang of it.\n[01:15 - 01:17] Speaker A: I should probably take some lessons then.\n[01:17 - 01:23] Speaker B: Definitely. Or you could just come over and jam with me sometime. I'm always down for making music."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--286623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I'm really sorry about what I did. I know it was wrong and I wish I could\n[00:04 - 00:09] Speaker B: It's not like you did it on purpose, but it still hurt me. And now I don't trust you anymore.\n[00:13 - 00:22] Speaker A: I understand how you feel. And I'm sorry. I'll try to make it up to you by showing you that I can be more reliable and considerate in the future.\n[00:22 - 00:27] Speaker B: Before you say anything else, I just need to know—what exactly are you planning to do to make up for it?\n[00:27 - 00:32] Speaker A: I'll do whatever it takes to earn your trust back. Just please give me a chance.\n[00:32 - 00:35] Speaker B: Alright, we'll see. But I'm still not happy about what happened."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--331396.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey boss, what's up?\n[00:01 - 00:03] Speaker B: Not much, what's up with you?\n[00:04 - 00:08] Speaker A: I'm just getting some work done. I wanted to talk to you about something though.\n[00:08 - 00:09] Speaker B: Sure, what is it?\n[00:10 - 00:19] Speaker A: I was wondering if there's any chance I could get a raise. I've been working here for a while and I feel like I've been doing a great\n[00:18 - 00:26] Speaker B: I understand where you're coming from. Before we dive into that, can you tell me how you feel your recent projects have impacted the team's overall performance?\n[00:31 - 00:46] Speaker A: Absolutely. I think my contributions have really helped streamline our processes, especially with the new software integration. But as I was saying, I do feel like I've been doing a great job and would appreciate it if you could consider a raise.\n[00:47 - 00:49] Speaker B: Let me think about it and I'll get back to you, okay?\n[00:50 - 00:52] Speaker A: Yeah, no problem. Thanks boss."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--420178.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm sorry I'm late. I know it caused some problems for you.\n[00:04 - 00:09] Speaker B: You're damn right it did! I had to wait half an hour for you to show up. This is\n[00:09 - 00:18] Speaker A: I understand how you feel. It's not like me to be late, but it happens from time to time. I apologize for any inconvenience it may have caused you.\n[00:23 - 00:29] Speaker B: This isn't the first time this has happened, Willian. You're always late for your appointments. It's unprofessional and disrespectful.\n[00:30 - 00:43] Speaker A: Again, I'm sorry. I'll try to do better in  managing my time and ensuring that I arrive on time for our future meetings by setting multiple reminders and leaving earlier to account for any unexpected delays.\n[00:44 - 00:48] Speaker B: Try? That's not good enough. I don't want to work with someone who can't keep their word and be on time."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--24058.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, I'm looking for an apartment to rent.\n[00:02 - 00:05] Speaker B: We have a few units available. What is your budget?\n[00:06 - 00:09] Speaker A: I can afford $500 per month.\n[00:10 - 00:15] Speaker B: That's our starting price for a one-bedroom unit. Do you have any other preferences, such as location or amenities?\n[00:16 - 00:19] Speaker A: Sorry to interrupt, but would that price include utilities?\n[00:20 - 00:28] Speaker B: No, utilities are not included in that price. However, we do have some units where utilities are included. Do you have any other preferences?\n[00:28 - 00:32] Speaker A: I would like something close to campus and with utilities included.\n[00:32 - 00:37] Speaker B: We have a few units that meet those criteria. Are you interested in\n[00:36 - 00:39] Speaker A: Yes, I'm definitely interested. Could I see them today?\n[00:44 - 00:49] Speaker B: Of course. I'll show you the units we have available, and you can let me know which one you're interested in.\n[00:49 - 00:50] Speaker A: Thank you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--366989.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I swear to defend my country against all enemies, foreign and domestic. I am ready to do whatever it takes to\n[00:06 - 00:10] Speaker B: Are you sure about this, Rohit? I mean, this isn't going to be easy.\n[00:15 - 00:30] Speaker A: I'm sure. I've never been more sure about anything in my life. I was going to say, to protect it, but  I understand the risks and challenges ahead and I'm fully prepared to meet them with courage and determination because this is what I was born to do.\n[00:31 - 00:35] Speaker B: Okay, I won't try to talk you out of it then. Just know that we're counting on you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--277828.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So what's up?\n[00:01 - 00:03] Speaker B: Not much, just hanging out. You?\n[00:03 - 00:11] Speaker A: Same here. Just taking everything in and trying to stay aware of my surroundings. There are a lot of people here and it can be\n[00:10 - 00:16] Speaker B: Overwhelming sometimes, right? I totally get that. Especially when you're in a place with so many unfamiliar faces.\n[00:21 - 00:33] Speaker A: Yeah, I know what you mean. It's important to be aware of your surroundings at all times, especially in crowded places like this. You never know when something could go wrong, and it's better to be safe than sorry.\n[00:34 - 00:42] Speaker B: Happen, exactly. That's why I always try to scan the room and take note of everyone present. It helps me feel more comfortable and prepared if anything were to happen.\n[00:43 - 00:49] Speaker A: Well, you're definitely the most prepared person I know! Thanks for always looking out for me, Koby."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--303363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Darn it! I can't believe I missed.\n[00:03 - 00:06] Speaker B: You're never going to catch me, Rorie. I'm too quick for\n[00:05 - 00:12] Speaker A: Wait, what if I try a different strategy? Maybe I can outsmart you instead of just relying on speed.\n[00:17 - 00:20] Speaker B: Oh, but I'll keep trying. I'll never give up until I catch you.\n[00:21 - 00:24] Speaker A: Ha! Good luck with trying to outmaneuver me.\n[00:24 - 00:29] Speaker B: Actually, I think I might have a better chance if I focus on anticipating your moves. What do you think?\n[00:30 - 00:37] Speaker A: I don't need luck. I'm determined to catch  you no matter how many times it takes or how long we have to keep playing this game.\n[00:38 - 00:39] Speaker B: We'll see about that."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559369.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, I'm feeling better after getting some fresh air.\n[00:03 - 00:06] Speaker B: Yeah, you looked a little down when you came in. What's up?\n[00:06 - 00:10] Speaker A: Just some stuff with my family. But I don't want to\n[00:09 - 00:15] Speaker B: Sorry to interrupt, but are you sure? Sometimes talking about it can really help.\n[00:19 - 00:24] Speaker A: I appreciate that, but I'd rather not get into it right now. How are you?\n[00:25 - 00:29] Speaker B: I'm good. Just hanging out, doing some homework. So what do you want to do today?\n[00:29 - 00:32] Speaker A: I don't know. What do you want to do?\n[00:33 - 00:34] Speaker B: We could go to the park or something.\n[00:35 - 00:39] Speaker A: Yeah, that sounds good. Let me just grab my jacket real quick.\n[00:40 - 00:43] Speaker B: It's so nice out today. I'm really glad we came to the park.\n[00:44 - 00:51] Speaker A: Yeah, me too. It's a great way to clear your head. So how are you really feeling about everything that's been going on lately?\n[00:51 - 00:56] Speaker B: Hey, I know you said you didn't want to talk about it earlier, but if you change your mind, I'm here.\n[00:56 - 01:05] Speaker A: Thanks, that means a lot. Actually, it's just been tough lately with my family. My mom and dad are always fighting, and it's really stressing me out.\n[01:06 - 01:09] Speaker B: That sounds really tough. I'm here for you if you ever need to talk though.\n[01:10 - 01:16] Speaker A: Thanks, that means a lot. Just knowing that I have a friend who cares makes me feel a little better already."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--302394.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey there. I couldn't help but notice that you look like you're struggling. Are you homeless?\n[00:05 - 00:16] Speaker B: Yes, I am. I've been homeless for a few months now and it's been really tough. I don't have any family or friends who can help me out, so I've been relying on the kindness of strangers. But it's hard to\n[00:15 - 00:22] Speaker A: I'm sorry to interrupt, but I just wanted to ask, have you tried reaching out to any local shelters or organizations for help?\n[00:28 - 00:35] Speaker B: I have, but most of them are full or have long waiting lists. It's really discouraging. Anyway, you were saying something about finding people who are willing to help?\n[00:36 - 00:43] Speaker A: Well, I'm willing to help. I can offer you a place to stay for the night and some food to eat. Would that be helpful?\n[00:43 - 00:46] Speaker B: Oh, yes! That would be very helpful. Thank you so much!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1151383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I promise I won't hurt you. I just want to be friends.\n[00:04 - 00:05] Speaker B: Why? What's wrong with me?\n[00:06 - 00:10] Speaker A: There's nothing wrong with you, Analeigh. I just don't want to hurt you.\n[00:11 - 00:13] Speaker B: But why would you hurt me? We're friends, right?\n[00:14 - 00:23] Speaker A: Yes, we're friends. But sometimes people do things that they don't mean to their friends and they end up getting hurt. And I don't want that to\n[00:22 - 00:26] Speaker B: Wait, are you saying you've been hurt before by a friend? Is that why you're worried?\n[00:31 - 00:48] Speaker A: Yes, that's part of it. But I also think we need to be mindful of how we treat each other. I haven't mentioned  the specific incident from my past that caused me so much pain, but it fundamentally changed how I approach all my relationships now, especially close friendships like ours.\n[00:48 - 00:55] Speaker B: Mindful, yes, absolutely. But I just want to know, do you trust me enough to believe that I would never intentionally hurt you?\n[00:56 - 01:04] Speaker A: I do trust you, Analeigh. I just think it's important to talk about these things openly. So let's be careful with each other then, okay?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--486837.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: Sarah, I just don't know what to do. I've been dating Brian for a while now and I thought things were going great, but lately he's just been acting so distant. I don't know if he's losing interest in me or if something else is\n[00:13 - 00:20] Speaker B: Do you think it could be something external, like work stress or family issues? Sometimes people withdraw when they're dealing with something heavy.\n[00:25 - 00:48] Speaker A: I thought about that, but when I tried asking him what was wrong, he just brushed me off and said everything was fine. But I know something is up. He used to be so sweet and attentive, and now it feels like he's barely even  making an effort to spend time with me or show affection like he used to, which makes me wonder if he's falling out of love or just overwhelmed with other responsibilities.\n[00:48 - 00:54] Speaker B: Maybe he's just not ready to open up yet. Have you given him some space to see if he comes around on his own?\n[00:54 - 01:05] Speaker A: I haven't really given him much space, to be honest. I was too worried about what was going on. But you're right, maybe I should try that and see if it helps. Thanks for the advice, Sarah.\n[01:06 - 01:08] Speaker B: Of course, that's what friends are for. Good luck!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--962210.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Perri, I'm so sorry about what's going on. I can't imagine how you're feeling.\n[00:05 - 00:09] Speaker B: Thank you, Rudolph. I appreciate your concern, but I'll be all\n[00:08 - 00:17] Speaker A: Wait, before you say you're all right, I really want to know if there's anything specific I can do to help. Even small things matter.\n[00:22 - 00:31] Speaker B: I appreciate your offer, but I don't want to burden you with my problems. Besides, there's nothing you can do to help with the situation at hand; it's something I need to work through on my own.\n[00:32 - 00:38] Speaker A: I understand you feel that way, but sometimes just talking about it can make a difference. Can we start with that?\n[00:39 - 00:42] Speaker B: All right, Rudolph. Thank you for caring about me and wanting to help me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1095086.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, I've been thinking about us a lot lately.\n[00:03 - 00:04] Speaker B: Oh yeah? What about?\n[00:04 - 00:10] Speaker A: Just about where we're at and where we're going. I'm not sure if this is what I want\n[00:09 - 00:13] Speaker B: Wait, are you saying you're having doubts about our relationship?\n[00:18 - 00:28] Speaker A: I didn't say that. I just said that I'm not sure if this is what I want. I care about you a lot and I don't want to hurt you, but sometimes I feel like we're on different pages.\n[00:29 - 00:34] Speaker B: So what are you saying? You want to break up, or are you just asking for some space to figure things out?\n[00:34 - 00:43] Speaker A: No, I'm not saying I want to break up right now. It's just hard for me to commit to anything right now, including this relationship. I'm sorry.\n[00:43 - 00:50] Speaker B: It's okay. I understand. I think we need some time apart too. We can still be friends though, right?\n[00:50 - 00:53] Speaker A: Of course. I care about you no matter what happens between us."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--896752.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, Joslyn. I'm just heading home. I'm tired and need to get up early for work in the\n[00:05 - 00:10] Speaker B: Oh, before you go, did you remember to grab your jacket? It was getting chilly earlier.\n[00:15 - 00:22] Speaker A: Oh, thanks for the reminder! I almost forgot. I had a great time tonight. Thanks for having me over.\n[00:23 - 00:27] Speaker B: Yeah, no problem. I had a great time too. You're always welcome here.\n[00:27 - 00:29] Speaker A: Thanks. See you soon.\n[00:29 - 00:30] Speaker B: See you later, Amonte."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--534070.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: I'm sorry for putting a frog in your desk, Ms. Smith. It was really immature of me and I know better than to disrupt class like that. I'll accept whatever punishment you deem\n[00:10 - 00:15] Speaker B: Jayde, before we talk about punishment, can you tell me why you thought it was okay to do something like that?\n[00:21 - 00:27] Speaker A: Honestly, I thought it would be funny, but I realize now it was just disruptive. I'm really sorry.\n[00:28 - 00:40] Speaker B: Well, Jayde, putting a frog in my desk was definitely not appropriate behavior. I think a week of detention is  necessary to help you reflect on your actions and understand the importance of making better choices in the future.\n[00:40 - 00:48] Speaker A: Ms. Smith, I completely understand, but can I ask if there's any way I can make it up by doing some extra work instead?\n[00:49 - 00:53] Speaker B: I appreciate the offer, but detention will be served during lunch starting next Monday.\n[00:53 - 00:55] Speaker A: Ok, thank you Ms. Smith."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1092370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi, can I stay here for a while? It's really cold\n[00:03 - 00:07] Speaker B: Sorry to jump in, but if you're going to stay longer, you'll need to purchase something.\n[00:12 - 00:14] Speaker A: Okay, I'll buy something.\n[00:14 - 00:16] Speaker B: All right, what would you like to purchase?\n[00:16 - 00:18] Speaker A: I don't know. What do you have?\n[00:19 - 00:30] Speaker B: We have a lot of different things. We have clothes, food, and other  essential items that might be useful in this weather, including warm blankets, hot beverages, and emergency supplies for extreme cold conditions.\n[00:31 - 00:32] Speaker A: What kind of food do you have?\n[00:33 - 00:38] Speaker B: We have different kinds of food. We have fruits, vegetables, meat, and more.\n[00:38 - 00:39] Speaker A: Do you have any apples?\n[00:40 - 00:42] Speaker B: Yes, we do. Would you like to purchase an apple?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--146698.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Mom. Look how well I mopped the floor!\n[00:03 - 00:07] Speaker B: Wow, Kaniyah! You did a great job! I'm really proud of\n[00:07 - 00:09] Speaker A: Thanks, Mom. I worked really hard on it.\n[00:14 - 00:24] Speaker B: Well, it shows. It looks like you put a lot of effort  into making sure every corner is spotless and that you paid attention to all the small details that make such a big difference in the final result.\n[00:25 - 00:30] Speaker A: I did. I wanted to make sure that the floor was clean and streak-free.\n[00:30 - 00:33] Speaker B: You certainly succeeded! It looks amazing."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--287787.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, I'm looking for a dress for a wedding I'm attending.\n[00:03 - 00:09] Speaker B: Absolutely! We have a great selection of dresses. What is your preferred style or color?\n[00:09 - 00:15] Speaker A: Sorry, I just remembered, I saw this dress and fell in love with it, but it's on clearance.\n[00:15 - 00:22] Speaker B: Let me check and see if we have your size in stock. (She checks and finds that we do) Great! The dress is yours.\n[00:22 - 00:24] Speaker A: Thank you so much!\n[00:24 - 00:29] Speaker B: You're welcome. Would you like me to add a gift receipt or any accessories to go with\n[00:28 - 00:36] Speaker A: Oh, before you ring me up, do you happen to know if this dress is final sale or if I can return it if it doesn't fit perfectly?\n[00:41 - 00:46] Speaker B: This dress is final sale since it's on clearance, so unfortunately, it can't be returned.\n[00:46 - 00:50] Speaker A: Got it, thanks for letting me know. Yes, please ring me up."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--901479.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Hey, Mom. I just wanted to apologize for breaking the grammar rule earlier. I know that I should have followed the rule, but I didn't and now I feel\n[00:08 - 00:15] Speaker B: Arisha, it's really okay. I understand how you feel, but everyone makes mistakes sometimes. It's not the end of the world.\n[00:20 - 00:33] Speaker A: Yeah, but this was a really big mistake and I don't want to make it  worse by not learning from it. I just want to make sure I improve through consistent effort and by asking for help when I need clarification on the rules.\n[00:33 - 00:43] Speaker B: I get it, you want to avoid making the same mistake again. Maybe next time you can try to be more careful. Just remember that everyone makes mistakes sometimes, and that's okay.\n[00:43 - 00:45] Speaker A: Yeah, thanks, Mom."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--525710.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: I'm so happy that I started journaling. It's really helped me to process my emotions and reflect on my life in a positive\n[00:08 - 00:12] Speaker B: Sorry to jump in, but I just remembered—do you find that journaling helps you manage stress better, too?\n[00:18 - 00:29] Speaker A: Yes, it definitely helps with stress management. I can say whatever I want in my journal and there's no judgement. I can just be completely honest with myself, which is really liberating.\n[00:30 - 00:36] Speaker B: That makes sense. It's like having a safe space to just be yourself without having to worry about what anyone else thinks.\n[00:36 - 00:44] Speaker A: Exactly! And it's also helping me to focus on the positive things in my life, which is making me happier overall.\n[00:44 - 00:57] Speaker B: That's great! I'm really happy for you. I might start journaling myself if it's helping you so  much. It sounds like it could be really beneficial for me as well, especially during those times when I feel overwhelmed or need to work through complex emotions.\n[00:57 - 01:00] Speaker A: You should! I would highly recommend it!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--334612.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, have you seen that new video of the cat riding a bike?\n[00:04 - 00:07] Speaker B: No, I haven't! Let me check it out real quick.\n[00:08 - 00:14] Speaker A: Sorry to interrupt, but is this the same video you mentioned last week, or is it a new one?\n[00:14 - 00:17] Speaker B: It's a new one! Let me just pull it up real quick.\n[00:17 - 00:21] Speaker A: Oh my goodness, that is the cutest thing I've ever seen!\n[00:21 - 00:25] Speaker B: I know, right? And wait until you see the part where he does a flip off the\n[00:25 - 00:29] Speaker A: A flip? How did they even manage to train a cat to do that?\n[00:34 - 00:41] Speaker B: They probably just trained him or something. But editing this video was really fun. I added some sound effects and made it into a gif too.\n[00:41 - 00:46] Speaker A: You're really good at editing videos! You should make a career out of it!\n[00:46 - 00:50] Speaker B: Yeah, I've been thinking about it. It's just so hard to find a job in that field.\n[00:51 - 00:56] Speaker A: Well, if you keep practicing and getting better, I'm sure you'll find something eventually."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--676747.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm sorry, I didn't mean to hurt your feelings.\n[00:03 - 00:04] Speaker B: Why would you say something like that?\n[00:05 - 00:09] Speaker A: I don't know. It just came out. I didn't mean it, I swear.\n[00:09 - 00:12] Speaker B: But why would you say it if you didn't\n[00:11 - 00:16] Speaker A: I just don't understand how you could say something so hurtful without meaning it. Can you explain?\n[00:21 - 00:24] Speaker B: I don't know! I feel really bad about it. Can you forgive me?\n[00:24 - 00:38] Speaker A: I don't know... this hurts a lot. You're supposed to be my friend and you just said something really hurtful  and I can't just forget it easily because trust takes time to rebuild after being broken like this.\n[00:38 - 00:43] Speaker B: You're right, and I deeply regret it. Please, Lily, can you forgive me? I'm so sorry."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--269886.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey boss, what's up?\n[00:01 - 00:03] Speaker B: Not much, what's up with you?\n[00:03 - 00:09] Speaker A: Just trying to stay ahead of the competition and be the best that I can\n[00:08 - 00:15] Speaker B: Speaking of competition, have you had a chance to look at the latest market trends? I think it might give us an edge if we adjust our strategy.\n[00:20 - 00:31] Speaker A: I haven't yet, but I was about to mention that I'm also focusing on personal growth alongside work. But you're right, analyzing those trends could really help us stay ahead.\n[00:31 - 00:39] Speaker B: Absolutely, and your focus on personal growth is important too. It all ties together in the long run. Keep it up and you'll go far."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--671614.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, man. What are you looking up?\n[00:02 - 00:03] Speaker B: Transcendentalism.\n[00:03 - 00:11] Speaker A: Oh, yeah. That's a philosophical and literary movement that stresses individual freedom, intuition, and natural\n[00:10 - 00:17] Speaker B: Sorry, but do you know if this movement has any connection to nature or the environment? I've heard some people talk about that.\n[00:22 - 00:36] Speaker A: Yes, it does. Transcendentalists often emphasized the importance of nature as a source of inspiration and spiritual insight. But it's also a response to the limitations of organized religion and societal norms.\n[00:36 - 00:43] Speaker B: Rationalism, right? That makes sense because it feels like they're advocating for something deeper than just logic and reason.\n[00:43 - 00:52] Speaker A: Exactly! And that's what transcendentalism is all about. It's about going beyond the rational mind to find truth and meaning in life.\n[00:52 - 00:57] Speaker B: I like that. It's like we're transcending the everyday and reaching for something more.\n[00:57 - 01:06] Speaker A: Exactly. And it's not just about reaching for something more, but also about living in the present moment and appreciating the simple things in life.\n[01:07 - 01:11] Speaker B: That's beautiful. I think I might need to read up on this transcendentalism thing."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--876910.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm sorry for what I did. I know it was wrong and I regret it.\n[00:04 - 00:08] Speaker A: I was desperate. I need the money to support my family.\n[00:04 - 00:05] Speaker B: Why did you\n[00:14 - 00:23] Speaker B: That's no excuse. There are other ways to get money besides robbing a store. What were you  thinking would happen after you did this terrible thing that would affect so many innocent people's lives?\n[00:23 - 00:28] Speaker A: I wasn't thinking. I was just desperate and panicked. I'm sorry, please don't arrest me.\n[00:29 - 00:37] Speaker B: Well, you're already under arrest so there's not much we can do about that now. You'll have to come with us down to the station and we'll figure everything out from there."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--706051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi Lilyan! How are you today?\n[00:02 - 00:09] Speaker B: Hey Nehemiah! I'm doing alright, thanks for asking. I've just been really busy lately and I'm starting to feel a little\n[00:08 - 00:15] Speaker A: Overwhelmed? I totally get that. Things have been pretty hectic for you lately. Do you want to talk about it?\n[00:20 - 00:42] Speaker B: Yeah, I guess so. It's just that everything seems to be happening all at once and I don't know how to keep up with it all. My classes are demanding, my extracurriculars are taking up more of my time than ever, and on top of all that I'm trying to maintain a social life. It's all just a lot  to handle, and I'm not sure where to start prioritizing when every responsibility feels equally urgent and important right now.\n[00:42 - 00:48] Speaker A: Have you tried cutting back on any activities? Maybe focusing on just the essentials for now could help?\n[00:49 - 00:54] Speaker B: I've thought about it, but it's hard to decide what to let go of. Everything feels important, you know?\n[00:54 - 00:59] Speaker A: Yeah, it sounds like it. Have you talked to anyone else about how you're feeling?\n[00:59 - 01:16] Speaker B: I've talked to my friends about it some, but they're all going through similar things so it's not like they can really relate or offer any helpful advice. And my parents are just telling me that I need to manage my time better and that I'll get used to the workload eventually. But it's not like that's easy to do when you're already feeling overwhelmed!\n[01:17 - 01:27] Speaker A: Absolutely not. It sounds like you could really use someone to talk to who understands what you're going through. Do you want me to see if we can find someone for you to talk to?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--606362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, Mom. I was thinking about what I want to do with my life and I think I've found my calling.\n[00:06 - 00:08] Speaker B: Oh, really? What is it, dear?\n[00:09 - 00:13] Speaker A: I want to help animals. I'm going to be an animal communicator.\n[00:13 - 00:18] Speaker B: That's wonderful, Callaway! But what exactly does that involve? How will you be able to\n[00:17 - 00:37] Speaker A: Sorry, I should have explained better. Basically, I'll be helping animals who are in need - either sick, lost, or in danger. By communicating with them telepathically, I'll be able to help them understand what they need to do and where they need to go. Hopefully, this will make their lives a little bit easier and safer.\n[00:42 - 00:50] Speaker B: Wow, that sounds like an amazing gift! How did you discover that you could communicate with animals in this way? Did something specific happen?\n[00:50 - 01:15] Speaker A: Actually, it started when I was a little girl. I always felt a connection to animals. And lately, I've noticed they seem to understand me too—like when I talked to our dog about not chewing on my shoes anymore (laughs). After researching online and talking to people who have this ability, it seems like something that comes naturally to me and that I could really use to help others. So that's why animal communication is my calling.\n[01:16 - 01:23] Speaker B: Well Callaway, if this is truly what you feel called to do, then follow your heart and go for it! We'll support you all the way!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--33760.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, would you like to sit down?\n[00:02 - 00:03] Speaker B: Thank you, I appreciate it.\n[00:04 - 00:07] Speaker A: It's no problem at all. How are you today?\n[00:07 - 00:11] Speaker B: Oh, I'm doing well. Just enjoying the day. And yourself?\n[00:11 - 00:17] Speaker A: Same here. Just taking it easy and enjoying the weather. So what brings you out\n[00:17 - 00:22] Speaker B: Sorry to interrupt, but I just noticed—do you come here often? I feel like I might have seen you around before.\n[00:27 - 00:34] Speaker A: Actually, I do come here pretty often. It's one of my favorite spots to relax. But you were saying you love nature?\n[00:35 - 00:38] Speaker B: Yeah, I love nature and being outdoors always makes me feel better.\n[00:39 - 00:46] Speaker A: I completely agree. There's just something about being in nature that is so calming and relaxing. Do you live around here?\n[00:47 - 00:50] Speaker B: Yeah, not too far from here. I'm just down the street.\n[00:50 - 00:56] Speaker A: That's great. I'm just up the street from here. So we're practically neighbors.\n[00:56 - 00:58] Speaker B: That's awesome! Small world, huh?\n[00:58 - 01:04] Speaker A: Yeah, it is. Well, it was nice meeting you and I hope you have a great day.\n[01:04 - 01:06] Speaker B: You too! Thanks for the chat."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--860535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Thank you so much for the advice, I really appreciate it.\n[00:03 - 00:10] Speaker B: You're welcome, Lucca. Like I said, I think studying more outside of class will really help you to understand the concepts\n[00:09 - 00:16] Speaker A: Yeah, I'm definitely going to do that. I just need to figure out which concepts I'm struggling with the most.\n[00:21 - 00:27] Speaker B: Well, why don't we take a look at your grades from the past few tests and see which areas you need to focus on more.\n[00:28 - 00:32] Speaker A: Oh, you mean like going over the specific topics where I didn't do well?\n[00:33 - 00:42] Speaker B: Exactly. That way, we can focus on the areas you need to improve the most. Alright, let's take a look... it looks like you're having trouble with multiplication and division.\n[00:43 - 00:45] Speaker A: Yeah, I've always struggled with math.\n[00:46 - 00:52] Speaker B: Well, don't worry, we'll help you get through it. Just remember to study more outside of class and you should be fine.\n[00:52 - 00:54] Speaker A: Thanks again for the help."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--571406.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I'm so nervous about my date tonight. I don't know what to wear or what to\n[00:04 - 00:10] Speaker B: Sorry, but have you thought about what kind of vibe you want to go for? Like, do you want to be casual or a bit more dressed up?\n[00:15 - 00:31] Speaker A: That's a good point. I was thinking of something casual but still cute. But what if he doesn't  think it's good enough or if he prefers something more formal, like a nice dress or maybe even a stylish pantsuit that shows off my personality while still looking put together?\n[00:32 - 00:38] Speaker B: If he doesn't like you for being yourself, then he's not worth your time. You deserve someone who appreciates you for who you are.\n[00:38 - 00:42] Speaker A: Thanks, Dyani. Talking to you always makes me feel better.\n[00:42 - 00:44] Speaker B: Anytime, girl. Now go get 'em!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--421624.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Mmmm, this apple is delicious! I can't believe how good it\n[00:04 - 00:08] Speaker B: Sorry to jump in, but where did you get it? I've been looking for a place with good produce.\n[00:13 - 00:21] Speaker A: I got it from the grocery store down the street. They have really good produce there. Oh, and I was going to say the taste is just amazing.\n[00:22 - 00:25] Speaker B: That's definitely a good place to get apples then. Did you get any other fruit?\n[00:26 - 00:33] Speaker A: Yeah, I got a bunch of other stuff. They had some really good-looking oranges, so I got a few of those too.\n[00:33 - 00:37] Speaker B: Oranges are definitely a good choice. Did you get anything else?\n[00:37 - 00:44] Speaker A: I got some bananas and grapes. I was going to get some more apples, but I only had enough money for what I got.\n[00:45 - 00:48] Speaker B: That's still a lot of fruit. You must have spent quite a bit of money.\n[00:49 - 00:54] Speaker A: Yeah, it was around $20 or so, which I thought was a pretty good deal for the amount of fruit I got.\n[00:55 - 01:00] Speaker B: Wait, $20? That's actually pretty reasonable. Did you get any other groceries with that?\n[01:01 - 01:06] Speaker A: Just some basics like bread and milk. I didn't really need much else since I just moved here.\n[01:07 - 01:12] Speaker B: That makes sense. Moving can be expensive enough as it is without having to buy all new groceries on top of that."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--273875.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: At yesterday's meeting, we discussed the new project plan and decided to start implementing it next quarter. This plan mainly involves resource allocation and team collaboration. We hope to\n[00:11 - 00:17] Speaker B: Sorry to interrupt, I just thought of a question, about our existing budget, is it enough to support the implementation of this plan?\n[00:22 - 00:41] Speaker A: This plan does need more financial support, but we have also considered some additional sources of funding. However, I haven't mentioned our application of automation tools  which could potentially reduce some costs in the long run by minimizing manual errors and optimizing our workflow processes across multiple departments.\n[00:42 - 00:52] Speaker B: Automation tools are certainly important, but I am more concerned about whether our team's current skills can match the requirements of these tools. Do you think we need to schedule additional training sessions?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--766234.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi! Let me help you find that book you're looking for.\n[00:04 - 00:07] Speaker B: Oh, thank you so much! I'm just looking for a book on philosophy.\n[00:08 - 00:14] Speaker A: Okay, let's see... we have a few books on philosophy over here. What are you specifically\n[00:13 - 00:21] Speaker B: Actually, before I forget, do you have any recommendations for someone who's just starting out with philosophy? I want something that's not too dense.\n[00:25 - 00:44] Speaker A: For beginners, Plato's Republic is actually a great start—it's deep but accessible. We also have Aristotle's Nicomachean Ethics, which is a bit more analytical but still  approachable for someone new to the subject, especially with the modern commentary editions we carry that help break down complex concepts.\n[00:45 - 00:49] Speaker B: Oh, Plato's Republic sounds perfect! I think I'll go with that.\n[00:49 - 00:53] Speaker A: Great choice! It's one of my favorites. Here you go.\n[00:54 - 00:55] Speaker B: Thank you so much!\n[00:55 - 01:00] Speaker A: No problem. Let me know if you need any help finding anything else."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--78189.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I'm just so tired, Sarah. I feel like I do everything around here and never get anything done for myself.\n[00:06 - 00:19] Speaker B: You're a perfectionist, Jazleen. You always put 110% into whatever you do and never seem to finish anything for yourself. Maybe you need to learn to relax a little bit and not try to do everything perfectly all the\n[00:18 - 00:30] Speaker A: But if I don't do things perfectly, then something bad will happen. Like if I don't fold the laundry perfectly, then it won't get clean or something. I know it's not logical, but that's just how I feel sometimes.\n[00:35 - 00:52] Speaker B: Maybe you're just putting too much pressure on yourself. Have you tried taking a break from some of your responsibilities and doing something for yourself? Just for fun? Maybe that would help you  unwind and see things from a different perspective, like going for a relaxing walk in nature or trying out a new hobby that doesn't require perfection.\n[00:53 - 01:02] Speaker A: I feel like if I take a break from my responsibilities, then I'll just get behind and never catch up. But what exactly do you mean by doing something for fun?\n[01:02 - 01:13] Speaker B: Well, you can't keep going at the pace you're going now. You're going to burn yourself out if you don't take a break soon. Just try it for a little while and see how it goes. Who knows, you might actually enjoy it!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--497264.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:02] Speaker B: Just working out. You?\n[00:03 - 00:07] Speaker A: Yeah, I'm on the treadmill. I run for thirty minutes every day.\n[00:07 - 00:10] Speaker B: That's great! I wish I could be as disciplined as you are.\n[00:11 - 00:16] Speaker A: It's not that hard, once you get into the habit. Plus, it makes me feel really good\n[00:15 - 00:19] Speaker B: Wait, do you follow a specific routine or just run for those thirty minutes?\n[00:24 - 00:32] Speaker A: I mostly just run, but sometimes I add in some intervals. Anyway, it makes me feel really good afterwards.\n[00:33 - 00:36] Speaker B: I can imagine. I always feel so sluggish after a workout.\n[00:36 - 00:47] Speaker A: Yeah, but it's worth it in the end. You get a rush of endorphins and it helps to clear your head. Plus, you know, it's good for your cardiovascular health and overall well-being.\n[00:48 - 00:52] Speaker B: Actually, I heard that running can sometimes be tough on your knees. Do you ever feel any discomfort?\n[00:53 - 00:59] Speaker A: Not really, I make sure to wear good shoes and stretch properly. But yeah, it's good for your health overall.\n[01:00 - 01:04] Speaker B: Absolutely. I should start working out more often myself. Thanks for the motivation!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--303336.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how are you doing?\n[00:01 - 00:04] Speaker B: I'm doing fine, thank you. Eshaal, can I ask you something?\n[00:05 - 00:07] Speaker A: Of course. What's on your mind?\n[00:07 - 00:15] Speaker B: Well, I was wondering if you could help me understand something. I've been having a lot of trouble lately with feeling like I don't belong anywhere. Do you ever feel that\n[00:14 - 00:23] Speaker A: Sorry to interrupt, but I just wanted to say that I completely understand where you're coming from. It's a really common feeling, and you're not alone in this.\n[00:29 - 00:50] Speaker B: Yeah, I definitely know what you mean. It's tough when you feel like you're the odd one out and like nobody really gets you. But it's important to remember that everyone feels that way at times and that there is a place for everyone in this world. You just have to find where you fit  and sometimes it takes a bit of patience and exploration to get there while also being open to new experiences and perspectives that might surprise you.\n[00:51 - 00:59] Speaker A: I agree, but I was also going to ask if you've tried joining any new groups or activities that might help you meet people with similar interests."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--463322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, it's nice to finally meet you. I feel like I've been talking to you online for\n[00:05 - 00:11] Speaker B: Forever, right? Yeah, I know. It's crazy how we can just connect with someone from across the world so easily nowadays.\n[00:15 - 00:17] Speaker A: So what do you do for fun?\n[00:17 - 00:28] Speaker B: I like to read and listen to music. And of course, spending time with friends and  catching up on some good shows when I get the chance, especially those gripping mystery series that keep me guessing until the very last episode.\n[00:29 - 00:34] Speaker A: Family is important. I totally get that. What about your favorite genre of music?\n[00:35 - 00:39] Speaker B: I enjoy a bit of everything, but I'm really into indie rock lately. What about you?\n[00:40 - 00:50] Speaker A: I like playing video games and watching TV. But lately, I've been feeling kind of lonely without anyone to talk to in person. It's nice to have someone to talk to again.\n[00:50 - 00:57] Speaker B: Yeah, I know what you mean. It's easy to feel isolated when you're not around people that much. But at least we have each other now!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--98673.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, I'm looking for a room for the night.\n[00:03 - 00:06] Speaker B: Sure, we have a few available. How many people will be staying in the room?\n[00:07 - 00:08] Speaker A: Just me.\n[00:08 - 00:11] Speaker B: Okay, that will be $60 for the\n[00:11 - 00:14] Speaker A: Oh, by the way, do you accept credit cards?\n[00:19 - 00:21] Speaker B: Yes, we do. Here you go.\n[00:21 - 00:26] Speaker A: Thank you. Do you need help with your luggage? I can assist you if needed.\n[00:26 - 00:29] Speaker B: Actually, could you tell me what time check-out is?\n[00:29 - 00:34] Speaker A: Check-out is at 11 AM. And no worries, I got it. Thanks.\n[00:34 - 00:37] Speaker B: Here's your key. Your room is down the hall to the left.\n[00:38 - 00:39] Speaker A: Alright, thanks."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--115625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Well, I invented this thing called the telephone. It's a machine that you can use to talk to someone else even if they're not in the same room as\n[00:07 - 00:13] Speaker B: Wait, did you just say you invented the telephone? That's huge! How did you come up with that idea?\n[00:18 - 00:36] Speaker A: Yeah, it just came to me when I realized how inconvenient it was to communicate over long distances. So, the telephone allows you to speak into one part of the machine, and your voice is carried through wires to the other person. They can then hear your voice coming out of another part of the machine.\n[00:36 - 00:45] Speaker B: Wow, that's amazing! I can't believe you invented something like that. But, do you think people will actually use it? I mean, it sounds revolutionary, but will they understand how to use it?\n[00:45 - 00:59] Speaker A: I know, it's pretty cool. I think it will change the way people communicate, but you're right—getting people to adopt it might take some time. I'm hoping that once they see how easy and useful it is, it will catch on quickly.\n[00:59 - 01:02] Speaker B: I'm sure it will. It's a great invention."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--742899.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, can I read your love letters from Ryan?\n[00:03 - 00:08] Speaker B: Yeah, sure. What do you want to know? I don't mind sharing, but some of it might be a bit personal.\n[00:08 - 00:16] Speaker A: I just want to understand what it is that makes him so special. From reading your letters, maybe I can figure it out.\n[00:16 - 00:19] Speaker B: Okay. Let me know if you have any questions.\n[00:19 - 00:26] Speaker A: In your first letter, you talk about how much you love his sense of humor. Is that still one of the things you love about him?\n[00:26 - 00:36] Speaker B: Absolutely! He always knows how to make me laugh, even when I'm having a bad day. Plus, he's not afraid to be silly and have fun. That's one of the things that first attracted me to\n[00:35 - 00:43] Speaker A: It sounds like he really makes you feel good about yourself. Like you can just be yourself around him and he accepts you for who you are.\n[00:48 - 00:57] Speaker B: Yes! That's exactly it! I don't feel like I have to put on a show or pretend to be someone else with him. He knows all my quirks and imperfections and he still loves me anyway.\n[00:57 - 01:00] Speaker A: That must be really refreshing for you.\n[01:00 - 01:03] Speaker B: It is. I've never felt so comfortable with anyone before.\n[01:04 - 01:12] Speaker A: In your second letter, you talk about how much you admire his ambition and drive. Has that been something that's important to you in a partner?\n[01:12 - 01:22] Speaker B: Yeah, definitely. Ryan is always striving to be better and he's not afraid of hard work. He's motivated and determined, and he knows what he wants in life. I find that really attractive."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--209436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Sarah! What's up?\n[00:02 - 00:06] Speaker B: Not much. Just getting ready for my track meet tomorrow. I'm really nervous though.\n[00:06 - 00:10] Speaker A: Why are you nervous? You're one of the best runners on the team!\n[00:10 - 00:22] Speaker B: I know, but I just feel like I have a lot to prove. My mom is coming to watch me tomorrow and I really want to make her proud. Plus, there's this one girl on the other team who's been trash talking me all week and I really want to\n[00:21 - 00:27] Speaker A: Wait, did you say she's been trash talking you? That's so unfair! How are you handling that?\n[00:32 - 00:43] Speaker B: It's been tough, but I'm trying to stay focused. Well, I think you're going to do great! Just focus on your own race and don't worry about anyone else. And remember, even if you don't win, your mom will still be proud of you.\n[00:44 - 00:54] Speaker A: Absolutely, and about that girl, maybe you can use her words as motivation to push yourself even harder. Thanks, Hadleigh. I really appreciate your support.\n[00:54 - 00:56] Speaker B: No problem! Good luck tomorrow!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--68508.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I forgot my coat and now I'm cold.\n[00:03 - 00:06] Speaker B: That sucks. You should have remembered to grab it before you\n[00:05 - 00:13] Speaker A: I know, I know. I just wasn't thinking and now I'm paying the price. It's just so cold out and I didn't bring a sweater or anything.\n[00:18 - 00:21] Speaker B: Well, you could always go back home and get your coat.\n[00:21 - 00:34] Speaker A: Yeah, but then I'd have to walk all the way back home in this cold weather and I don't really want to  waste the time, especially since I'm already running late for my important meeting with the new clients downtown.\n[00:34 - 00:40] Speaker B: I get it, but maybe it's worth it to avoid getting sick. Or, you know, you could borrow a coat from someone else?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--966021.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I don't want you to know what I'm up to.\n[00:02 - 00:03] Speaker B: Why not?\n[00:03 - 00:06] Speaker A: Because I don't want you to be informed.\n[00:06 - 00:07] Speaker B: But why?\n[00:08 - 00:10] Speaker A: Because I want you to stay uninformed.\n[00:10 - 00:12] Speaker B: But why would you want that?\n[00:12 - 00:15] Speaker A: Because it's better for you if you don't know what's going on.\n[00:16 - 00:22] Speaker B: But how can that be better for me? If something is happening, I should know about it so that I can make an informed\n[00:21 - 00:25] Speaker A: Adryan, please, just trust me on this one. It's better if you don't know.\n[00:30 - 00:42] Speaker B: Trinidad, I can't just trust you blindly on this. You're not giving me any reasons why I should do as you  say without understanding the situation, especially when you're being so secretive about something that clearly seems important.\n[00:43 - 00:49] Speaker A: Fine, if you must know, it's because I don't want you to get involved and get hurt in whatever is going on.\n[00:50 - 00:52] Speaker B: And why would I get hurt if I knew what was going on?\n[00:53 - 00:57] Speaker A: Because you're too nosy and you would want to help, even though you can't.\n[00:58 - 01:01] Speaker B: Trinidad, I'm not a child. I can handle myself.\n[01:02 - 01:08] Speaker A: Adryan, this is non-negotiable. You are not going to get involved in this. End of discussion."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--449068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: Honey, I was just in the living room and I heard a noise coming from outside. I went to investigate and it looks like a branch has fallen on the roof of our house. I'm so upset because I know we'll have to pay to have the branch removed and the damage\n[00:14 - 00:21] Speaker B: Oh, no! That's not good. Do you think the damage is significant? I mean, if it's just a few punctures, maybe it won't be as expensive as we fear.\n[00:26 - 00:40] Speaker A: I'm not sure. I can't really tell from down here. But it looks like the branch has punctured the roof in several  places, and I'm worried it might have caused more structural damage that could compromise the integrity of the entire roof system.\n[00:41 - 00:47] Speaker B: Wait, did you already check if it's safe to go up there? I'm worried it might be dangerous if the roof is unstable.\n[00:47 - 01:00] Speaker A: I didn't go up; I just looked from the ground. But you're right, we should be careful. I'll call a few people and get some estimates for repairs. In the meantime, try not to worry about it too much, okay?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--815822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Hey Brittnay! Thanks for playing Roblox with me. I love this game because it's so creative and there's so much to\n[00:07 - 00:15] Speaker B: I know, right? It's really cool how you can create your own worlds and characters. I've been playing for a while now and I still find new things to do.\n[00:20 - 00:29] Speaker A: Yeah, that's one of the things I like most about it. There's always something new to discover. Have you ever made your own world?\n[00:29 - 00:41] Speaker B: Yeah, I have a few worlds that I've created. It's really fun to design everything and then see other people play in it. It's like watching your own little movie come to life, with players interacting in ways you didn't even anticipate.\n[00:42 - 00:48] Speaker A: Oh, that sounds so cool! So, do you have any tips on how to get started with creating a world?\n[00:48 - 00:59] Speaker B: Yeah, definitely. There are a few tutorials on the Roblox website that can help you get started. And once you start creating, don't be afraid to experiment and try new things. That's part of the fun!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1051467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Wow, you're really good at this!\n[00:02 - 00:04] Speaker B: Thanks! I've been playing for a while.\n[00:04 - 00:09] Speaker A: I can tell. You're so natural at it. I wish I could play like\n[00:08 - 00:16] Speaker B: Hey, don't sell yourself short. It's not that difficult, honestly. Anyone can learn if they put their mind to it and practice enough.\n[00:20 - 00:28] Speaker A: Yeah, but it seems like you have a real gift for it. I don't know if I could ever be that skilled, even with practice.\n[00:29 - 00:32] Speaker B: Maybe I can give you some lessons sometime? Help you get started?\n[00:32 - 00:34] Speaker A: Seriously? You'd do that for me?\n[00:35 - 00:38] Speaker B: Of course! I'd love to help you out. Playing together would be fun too.\n[00:39 - 00:44] Speaker A: That would be amazing! Thank you so much, Neiko. I really appreciate it.\n[00:44 - 00:47] Speaker B: Don't mention it. Now let's get back to playing!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1129671.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: What seems to be the problem? Why do you feel that I'm greedy and unprofessional?\n[00:05 - 00:09] Speaker B: Well, you charge an exorbitant fee, and I don't feel that you're worth it.\n[00:10 - 00:27] Speaker A: I see. Well, let me explain my fee to you. First of all, I only work with a select few clients. I'm very choosy about who I work with because I want to make sure that we're a good fit. And secondly, my fee reflects the quality of my work and the results that my clients can\n[00:26 - 00:29] Speaker B: But don't you think that your fee is a bit too high?\n[00:34 - 00:57] Speaker A: Not at all. In fact, many of my clients have said that they feel like they've gotten a bargain when they compare what they paid me to the results I've helped them achieve. However, I haven't mentioned how my fee structure also includes  ongoing support and follow-up consultations to ensure sustained success, along with access to exclusive resources and personalized strategies that are unavailable through other service providers.\n[00:58 - 01:02] Speaker B: Well, maybe other people feel that way, but I still don't think your fee is fair."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--604161.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: I understand how frustrating that can be. We'll see if we can fix it though. Has anything changed on your computer recently that might have caused the slowdown? For example, did you install any new programs or download any large\n[00:13 - 00:18] Speaker B: Actually, I did install a couple of new programs. Do you think they could be the cause?\n[00:23 - 00:32] Speaker A: It's possible. Some programs can really slow down your system if they're resource-intensive. But you mentioned you haven't downloaded anything large, right?\n[00:32 - 00:33] Speaker B: Yeah, nothing big.\n[00:34 - 00:39] Speaker A: Alright, let's focus on those new programs then. Do you remember which ones you installed?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--371354.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey guys, do you want to get some photos together before we go our separate ways?\n[00:05 - 00:07] Speaker B: Yeah, that sounds great!\n[00:07 - 00:11] Speaker A: Okay, let's go over to that spot by the\n[00:10 - 00:15] Speaker B: Oh, wait! Should we ask someone to take the picture for us so that everyone can be in it?\n[00:19 - 00:23] Speaker A: That's a good idea! I'll ask that person over there. Sounds good?\n[00:24 - 00:25] Speaker B: Sounds good!\n[00:25 - 00:28] Speaker A: All right, everyone get in close and say cheese!\n[00:29 - 00:29] Speaker B: Cheese!\n[00:30 - 00:38] Speaker A: Great, now let's try a few different poses. How about we all stand on one side and do a fun group pose together?\n[00:38 - 00:42] Speaker B: Actually, before we do that, should we take one where we're all just smiling normally first?\n[00:43 - 00:47] Speaker A: Sure, let's do that first. Then we can try the one-legged pose next!\n[00:48 - 00:52] Speaker B: Perfect! Now let's put our arms around each other and make a big group hug.\n[00:52 - 00:54] Speaker A: Aww, this is so sweet!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--725089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, what are you up to these days?\n[00:02 - 00:04] Speaker B: I'm thinking about going back to school.\n[00:05 - 00:07] Speaker A: Really? What made you\n[00:06 - 00:10] Speaker B: Sorry to cut you off, but I just wanted to ask—have you thought about what you want to study?\n[00:15 - 00:28] Speaker A: I was about to say that I feel like I need to do something with my life. I can't keep working at this job forever. But to answer your question, I'm still figuring out what to study. What about you?\n[00:28 - 00:34] Speaker B: I've been thinking about it too, but I'm not sure yet. I just feel like I need a change, and it would be good for my career.\n[00:35 - 00:40] Speaker A: That's true. But are you sure you're ready for that? It's a lot of work.\n[00:40 - 00:43] Speaker B: Yeah, I know. But I'm willing to try it out and see how it goes.\n[00:44 - 00:47] Speaker A: Well, if you're serious about it, then you should definitely do it!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--819618.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I can't believe you would do that!\n[00:02 - 00:04] Speaker B: What? I didn't do\n[00:03 - 00:05] Speaker A: You totally embarrassed me back there!\n[00:10 - 00:15] Speaker B: Bethanie, I'm sorry. I didn't mean to. I was just trying to be funny and lighten the mood.\n[00:16 - 00:19] Speaker A: Well, it wasn't funny. It was humiliating.\n[00:19 - 00:27] Speaker B: Bethanie, please calm down. Let's talk about  it later when you're feeling better and we can have a proper conversation about what happened without all this tension between us.\n[00:28 - 00:31] Speaker A: No, I don't want to talk about it. Just take me home.\n[00:31 - 00:35] Speaker B: Bethanie, please don't be mad at me. I'm sorry, okay?\n[00:35 - 00:39] Speaker A: Fine. But I don't want to talk about it anymore, got it?\n[00:39 - 00:40] Speaker B: Yes, got it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--205413.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, friends! Thank you so much for the gifts. I really appreciate\n[00:04 - 00:08] Speaker B: Sorry to jump in, but we were just so happy to help out. It's the least we could do.\n[00:13 - 00:28] Speaker A: Actually, I wanted to do something for you in return. So, I went out and bought a gift for each of  you to show how much your kindness means to me, spending hours carefully selecting items I knew would bring you genuine joy and appreciation.\n[00:28 - 00:30] Speaker B: Rhett, you didn't have to do that!\n[00:30 - 00:35] Speaker A: I know, but I wanted to. So, here you go. (Gives each friend a gift.)\n[00:36 - 00:38] Speaker B: Thank you, Rhett! This is really thoughtful of you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--911067.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Sarah. What's up?\n[00:02 - 00:04] Speaker B: Not much. Just hanging out at home.\n[00:04 - 00:10] Speaker A: That sounds nice. I wish I could relax like that, but I've been feeling really stressed\n[00:09 - 00:14] Speaker B: Yeah, I can imagine. What's been on your mind lately? Is it work or something else?\n[00:19 - 00:30] Speaker A: Sorry, I just needed to get this off my chest—it's everything. My job, my family, my relationships. Everything feels like it's piling up and I can't keep up.\n[00:30 - 00:34] Speaker B: That does sound really tough. I'm here for you, though. What can I do to help?\n[00:35 - 00:39] Speaker A: Just talking to you is helping already. Thank you for being here for me.\n[00:39 - 00:45] Speaker B: Of course, anytime. And hey, if you ever need to vent or just need a distraction, you know where to find me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--640494.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: I don't know why I do it, Mom. I just feel so empty all the time and this is the only way I can feel anything. The pain is a way to punish myself for my mistakes and to feel alive. I know it's not healthy but I can't seem to\n[00:14 - 00:23] Speaker B: Sweetie, I understand that it feels overwhelming, but have you thought about talking to someone professionally? Maybe they could help you find a healthier way to cope with these feelings.\n[00:29 - 00:41] Speaker A: I know you say that, but I don't feel it. It feels like everything I do is wrong and that I'm just a  burden to everyone around me who would be better off without my constant problems and emotional baggage weighing them down.\n[00:41 - 00:47] Speaker B: You're not a disappointment, Hayley. We love you no matter what, and we will help you through this, I promise."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--942720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I can't believe I'm stuck in this mud. It's so cold and wet and it smells\n[00:04 - 00:11] Speaker B: Awful, I know. But let's focus on getting you out of there. Have you tried shifting your weight to one side to see if that helps?\n[00:16 - 00:25] Speaker A: I've been trying to get out for a while now, but the mud is just too thick. I can't seem to get a good grip or find any solid ground to push off from.\n[00:26 - 00:31] Speaker B: Move? Maybe we can find something to use as leverage. Hold on, let me look around.\n[00:31 - 00:36] Speaker A: I appreciate your help. I'm starting to get really cold and scared.\n[00:36 - 00:39] Speaker B: Don't worry, we'll get you out of there. Just hang tight for a moment."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--193968.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: What the hell did you do to my car?\n[00:02 - 00:04] Speaker B: I don't know what you're talking about.\n[00:04 - 00:08] Speaker A: Don't play dumb with me! I saw you spray painting it!\n[00:08 - 00:11] Speaker B: So what if I did? It's not like it's a big deal.\n[00:12 - 00:19] Speaker A: Are you kidding me? This is a brand new car! I just got it last week and now it's ruined because of you!\n[00:19 - 00:23] Speaker B: Well, maybe if you hadn't been such a jerk, I wouldn't have done it in the first place.\n[00:24 - 00:26] Speaker A: Oh, so this is my fault?\n[00:27 - 00:31] Speaker B: Yes, it is! You've been nothing but a jerk to me ever since we\n[00:30 - 00:37] Speaker A: Wait, can you explain what exactly I did to make you feel this way? I thought we were getting along fine.\n[00:42 - 00:47] Speaker B: No, you haven't! You've always treated me like I'm inferior to you and I'm tired of it!\n[00:47 - 00:57] Speaker A: Well, maybe if you actually tried doing something with your life instead of sitting around all day playing video games, you wouldn't be such a disappointment to everyone around you.\n[00:57 - 01:03] Speaker B: Hold on, that's not fair. You know I've been looking for a job and trying to improve my skills. Why are you bringing this up now?\n[01:03 - 01:08] Speaker A: And maybe if you weren't such a stuck up snob, you might actually have some friends!\n[01:09 - 01:11] Speaker B: Screw you! I don't need friends like you anyway!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--302689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I'm not sure what you're asking me, Chancelor. What do you want to\n[00:04 - 00:08] Speaker B: Well, for starters, why are you so evasive? It's like you're never straight with me.\n[00:14 - 00:26] Speaker A: I'm not sure what you mean. I just like to keep people guessing, that's  part of my approach to keeping conversations interesting and dynamic while also maintaining an element of surprise in our interactions.\n[00:27 - 00:31] Speaker B: But it's frustrating! I feel like I can never get a straight answer from you.\n[00:31 - 00:34] Speaker A: Sorry, Chancelor. That's just how I am."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--561706.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, Sarah. I'm looking for a new apartment and I was wondering if you had any recommendations.\n[00:06 - 00:10] Speaker B: Yeah, definitely. Have you been looking around at any places yet?\n[00:10 - 00:16] Speaker A: Not really. I've been kind of avoiding it because I'm feeling really nervous.\n[00:16 - 00:18] Speaker B: Why are you feeling\n[00:17 - 00:33] Speaker A: I guess it's just a lot of pressure. I want to make sure I find something that's affordable and in a good location. Plus, I've heard stories about people who have had bad experiences with their landlords or roommates. So, I guess I'm just worried about making the wrong choice.\n[00:37 - 00:51] Speaker B: I get that, but you know, there are plenty of good apartments out there. And as long as you do your research, you should be fine. Besides, even if you do end up in a less than ideal situation, it's not the end of the world. You can always move again if things don't work out as planned.\n[00:52 - 01:00] Speaker A: True, but I'd rather avoid the hassle of moving again if I can help it. Do you have any specific places in mind that you think would be good for me?\n[01:01 - 01:10] Speaker B: Yeah, actually my friend just moved into this really great place downtown that's really affordable and close to everything. Let me give her a call and see if she wouldn't mind giving you the information herself."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--977126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Hey, Mom. I know I said I wanted to wear these overalls today, but I'm starting to regret it. People are staring at me and I feel\n[00:10 - 00:16] Speaker B: Wait, Sammie, are you sure they're actually staring? Sometimes we just feel like everyone is looking when we're self-conscious.\n[00:21 - 00:24] Speaker A: Maybe... but I still feel embarrassed.\n[00:24 - 00:33] Speaker B: Don't be embarrassed, Sammie. You look cute in your overalls! And besides, who cares if people are staring? If they're staring, it's probably because they're jealous of how stylish you look!\n[00:33 - 00:36] Speaker A: I guess you're right. Thanks, Mom.\n[00:36 - 00:40] Speaker B: Of course, honey! Now go have fun and forget about what everyone else thinks!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1096861.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I just can't believe this happened. I feel like I can't trust anyone anymore.\n[00:05 - 00:07] Speaker B: I'm sorry to hear that, Elam. Can you tell me what happened?\n[00:08 - 00:15] Speaker A: I was walking home from work last night and someone came up behind me and grabbed my purse. They knocked me to the ground and then\n[00:15 - 00:17] Speaker B: Oh no, are you okay? Did you get hurt?\n[00:22 - 00:28] Speaker A: I'm a bit bruised, but I'll be fine. I didn't get a good look at the person, it all happened so fast.\n[00:29 - 00:30] Speaker B: Did you see who did it?\n[00:30 - 00:34] Speaker A: No, it all happened so fast. I didn't get a good look at the person.\n[00:35 - 00:37] Speaker B: Do you have any idea why they would target you?\n[00:38 - 00:42] Speaker A: No, I don't know why they would do this to me. I haven't done anything wrong.\n[00:43 - 00:46] Speaker B: Do you have any enemies that you can think of? Anyone who might want to hurt you?\n[00:47 - 00:52] Speaker A: No, I don't have any enemies. I can't think of anyone who would want to hurt me like this.\n[00:53 - 01:00] Speaker B: Okay, we'll keep looking into this and see if we can find anything. In the meantime, try to stay safe and maybe avoid walking alone at night if possible.\n[01:01 - 01:07] Speaker A: Just to clarify, did you mean you will be looking into it personally or should I report this to the police as well?\n[01:08 - 01:21] Speaker B: Definitely report it to the police. They might have more resources to help. In the meantime, try to stay safe and  be careful about your surroundings, especially in less populated areas where such incidents are more likely to occur."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1084179.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Dad.\n[00:01 - 00:02] Speaker B: Hey, Son. How are you doing?\n[00:03 - 00:06] Speaker A: I'm doing alright. Just thinking about some things.\n[00:07 - 00:08] Speaker B: What's on your mind?\n[00:08 - 00:18] Speaker A: I was just thinking about how much my life has changed in the last year. It's been a lot of ups and downs, but I feel like I'm finally starting to\n[00:17 - 00:22] Speaker B: Sorry to jump in, but when you say \"ups and downs,\" are there any specific moments that stand out to you?\n[00:27 - 00:37] Speaker A: Yeah, there were a few tough situations, like when I lost my job and had to figure out what to do next. But now, I feel like I'm starting to get a handle on things.\n[00:38 - 00:49] Speaker B: That's good to hear. It sounds like you've been through a lot lately. Are you sure you're ready to take on  new responsibilities or challenges that might come your way, considering how much you've grown and learned from your past experiences?\n[00:49 - 00:57] Speaker A: Definitely, Dad. I know I have the strength and determination to make it through whatever challenges come my way."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1142459.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi there! Are you enjoying the carnival so far?\n[00:03 - 00:07] Speaker B: Yes, it's been really fun! I've especially enjoyed the three-legged\n[00:06 - 00:13] Speaker A: Oh, the three-legged races are always a hit! But I was wondering, have you tried any of the other games yet?\n[00:18 - 00:27] Speaker B: Hmm, I'm not sure. I've never been to a carnival before! But the water balloon toss looks like it would be a lot of fun, especially if the weather stays this warm.\n[00:27 - 00:32] Speaker A: The water balloon toss is a great choice! Do you want any tips on how to win?\n[00:32 - 00:33] Speaker B: Thanks, I will!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--565809.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, what do you think my chances are?\n[00:02 - 00:06] Speaker B: Well, it depends. Have you been keeping up with the evidence and discovery in the case?\n[00:07 - 00:16] Speaker A: Yeah, I've been reading everything. It seems like the prosecution has a lot of circumstantial evidence, but nothing that directly ties me to the crime scene\n[00:15 - 00:22] Speaker B: Sorry to interrupt, but when you say \"circumstantial evidence,\" do you mean they lack direct witnesses or physical proof?\n[00:27 - 00:48] Speaker A: Exactly, they don't have direct witnesses or physical proof. That's true. But you can't underestimate them. They may have something that we don't know about yet. The best thing you can do is to keep gathering as much information as possible  and stay ahead of any surprises by thoroughly reviewing all the case documents and anticipating their possible arguments.\n[00:48 - 00:52] Speaker B: Wait, are there any potential risks we haven't considered yet?\n[00:52 - 01:01] Speaker A: The best thing you can do is to keep preparing your defense and be ready for anything. Alright. I just want to make sure I'm doing everything I can to win this case.\n[01:02 - 01:06] Speaker B: You're doing everything you can. Just keep positive and don't give up hope."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--65045.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: I went to the mall today and saw a sign for a huge sale, so I went inside to check it out. But I didn't find anything I wanted to\n[00:08 - 00:13] Speaker B: What kind of sale was it? Was it for clothes, electronics, or something else?\n[00:18 - 00:22] Speaker A: It was mostly for clothes, but nothing really caught my eye.\n[00:22 - 00:36] Speaker B: Maybe you should have had an idea of what you were looking for before you went to the store. That way, you would have known whether or not the sale had what you were  interested in, and it might have saved you some time that could have been better spent browsing other stores or enjoying other activities at the mall.\n[00:36 - 00:45] Speaker A: I see what you mean. I guess I was just hoping to find something by chance. Next time I'll definitely plan better. Thanks for the advice!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--159547.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:04] Speaker B: Not much, just wanted to talk to you about something.\n[00:04 - 00:05] Speaker A: Sure, what is it?\n[00:05 - 00:09] Speaker B: I don't really know how to say this, but I need your help with\n[00:08 - 00:11] Speaker A: Of course, anything for you. What do you need?\n[00:16 - 00:19] Speaker B: I don't know if I can tell you. It's kind of embarrassing.\n[00:19 - 00:23] Speaker A: Hey, it's okay. You can tell me anything. I promise.\n[00:23 - 00:30] Speaker B: Alright, well...I think I'm in love with someone and I don't know how to tell them without making things awkward between us.\n[00:30 - 00:36] Speaker A: Wait, you're in love? That's amazing! But, um, who are we talking about here?\n[00:36 - 00:41] Speaker B: Well, the thing is...it's not a person. It's an object.\n[00:42 - 00:45] Speaker A: An object? Like, a possession?\n[00:45 - 00:48] Speaker B: Yeah, like a piece of furniture or something."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--406352.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much, just hanging out. You?\n[00:03 - 00:07] Speaker A: Just chilling, trying to enjoy the day. It's nice out, isn't it?\n[00:08 - 00:14] Speaker B: Yeah, it is. I love days like this. There's something about the weather that just makes me feel\n[00:13 - 00:20] Speaker A: Sorry to jump in, but do you think it's going to stay this nice all week? I'm trying to plan something for the weekend.\n[00:24 - 00:30] Speaker B: I hope so! But even if it doesn't, we should still try to get outside and enjoy it while we can.\n[00:30 - 00:33] Speaker A: Absolutely, we should do that sometime soon.\n[00:34 - 00:38] Speaker B: Yeah, that would be awesome. I'm always down for anything that gets me outside.\n[00:39 - 00:43] Speaker A: Me too. Well, I should probably get going. It was great talking to you!\n[00:44 - 00:46] Speaker B: Yeah, you too. See you around!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--900948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: Yes, absolutely. Preaching is one of the most important things a Christian can do. It's our job to spread the good news of the gospel to as many people as possible, and preaching is one of the best ways to\n[00:11 - 00:16] Speaker B: But why is it so important? I mean, surely there are other ways to evangelize besides preaching?\n[00:21 - 00:41] Speaker A: Well, first of all, preaching is effective. It's a great way to reach people and share the gospel with them. And secondly, it's our duty as Christians. We're called to be witnesses for Christ, and preaching is one of the best ways to  fulfill that calling and make a difference in people's lives by planting seeds of faith that may blossom when they're most needed.\n[00:41 - 00:45] Speaker B: But what if people don't want to listen? What if they're not interested in what we have to say?\n[00:46 - 01:05] Speaker A: That's where our persistence and our passion come in. We need to be passionate about sharing the gospel, and we need to be persistent in doing so, even if people don't seem interested at first. We never know when someone might be ready to hear the good news, and so we need to keep preaching, even when it seems like no one is listening."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1066203.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, thanks for coming over. It's been a rough few\n[00:03 - 00:05] Speaker B: No problem, Alix. What's going on?\n[00:10 - 00:18] Speaker A: Well, my mom died a few weeks ago and I've been having a hard time dealing with it. I'm just feeling really down and lost right now.\n[00:18 - 00:26] Speaker B: I'm so sorry to hear that, Alix. It's totally understandable that you're feeling this way. Do you want to talk about it? I'm here for you.\n[00:26 - 00:39] Speaker A: Yeah, I think that would help. It's just been so hard. I miss her so much. We were really  close, sharing everything from daily routines to deep conversations about life, and I don't know how to cope with this loss.\n[00:40 - 00:45] Speaker B: I can only imagine how painful it must be. Were there any specific memories that have been on your mind lately?\n[00:46 - 00:52] Speaker A: We were really close. She was the most important person in my life. I don't know what I'm going to do without her.\n[00:53 - 00:58] Speaker B: It's going to be tough, but you'll get through it. You're strong and you have a lot of people who love and support you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--719199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, what are you afraid of?\n[00:01 - 00:03] Speaker B: I'm afraid of heights.\n[00:03 - 00:07] Speaker A: That's understandable. I'm afraid of them\n[00:06 - 00:09] Speaker B: Really? I thought you were a professional stunt double.\n[00:13 - 00:22] Speaker A: I am, but that doesn't mean I don't get scared sometimes. Performing stunts is always a risk, no matter how experienced you are.\n[00:22 - 00:24] Speaker B: So what made you decide to become a stunt double?\n[00:25 - 00:46] Speaker A: I've always loved action movies and daredevil feats. When I was younger, I used to try to recreate some of the stunts I saw on TV or in movies. Obviously, I never had any professional training or equipment, so most of the time I just ended up hurting myself! But even then, I loved the thrill of it and knew that it was something I wanted to do for a living someday.\n[00:47 - 00:49] Speaker B: And now you're here, doing my stunts for me!\n[00:49 - 00:57] Speaker A: Exactly! It's always a pleasure to work with you, Ayelet. Even though your fears can sometimes make it challenging to get the perfect shot.\n[00:58 - 01:02] Speaker B: Yeah, I guess it must be tough for you to constantly be putting yourself in danger.\n[01:03 - 01:10] Speaker A: It can be, but I love what I do. And I know that you're always grateful for my help, even if you don't always show it.\n[01:10 - 01:15] Speaker B: Of course! I couldn't do this without you, Rylee. You're the best stunt double in the business."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--894199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm such a klutz! I can't believe I just tripped over my own\n[00:03 - 00:04] Speaker B: Are you okay?\n[00:09 - 00:12] Speaker A: Yeah, I'm fine. Just embarrassed as usual.\n[00:12 - 00:19] Speaker B: Don't worry about it. We've all been there before. Where are you trying to head to, anyway? Maybe I can help you find your way.\n[00:19 - 00:24] Speaker A: I'm not really sure. I was just walking around and got turned around somehow.\n[00:24 - 00:33] Speaker B: Well, let's try and retrace your steps then. Where was the last place you remember being before you got lost? Maybe that can help us figure out where you need to go.\n[00:33 - 00:39] Speaker A: Um...I think it was the grocery store? But I'm not sure. Everything looks so different now.\n[00:40 - 00:50] Speaker B: Okay, well the grocery store is only a few blocks away. Let's start walking that way and see if we can find it again. Hopefully someone there will be able to help us out if we're still lost after that.\n[00:50 - 00:56] Speaker A: Alright. Sounds like a plan. Thanks for your help, I really appreciate it.\n[00:57 - 00:59] Speaker B: No problem! That's what friends are for."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--677446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm really enjoying this book. It's so well-written.\n[00:03 - 00:10] Speaker B: I'm glad you're enjoying it. I tried to make it as accessible as possible while still maintaining a high level of literary\n[00:09 - 00:20] Speaker A: Sorry to jump in, but when you say \"accessible,\" did you have a specific audience in mind? Like, were you trying to reach people who might not usually read this kind of material?\n[00:26 - 00:35] Speaker B: Yes, exactly. I wanted to reach a broader audience, not just those who are well-versed in literary theory. But I also aimed to keep the writing strong and the logic sound.\n[00:35 - 00:47] Speaker A: It shows. This book has definitely made me think about things in a new light. I'm seeing the world in a different way now, and I have a greater understanding of the human condition because of it.\n[00:47 - 00:57] Speaker B: That's exactly what I hoped for when writing this book. To get people to think about things differently and to challenge their assumptions about life and the way we interact with each other on a deeper level.\n[00:57 - 01:04] Speaker A: Life and society, right? I think you nailed it. The way you weave those themes together really resonates."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--680740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Wow, I can't believe I got the job!\n[00:02 - 00:07] Speaker B: Congratulations, Aleena. You're a hard worker and you\n[00:06 - 00:11] Speaker A: Actually, I wanted to ask—do you think there will be opportunities for growth in this role?\n[00:16 - 00:21] Speaker B: Absolutely, there will be plenty of opportunities for growth. We're glad to have you on board.\n[00:21 - 00:35] Speaker A: I'm just glad I can finally stop worrying about money. This job will allow me to pay my rent and  start saving for the future while also being able to invest in professional development courses that will help me advance in my career.\n[00:36 - 00:41] Speaker B: Sorry to cut in, but I wanted to make sure—do you need any initial support with your relocation or anything else?\n[00:42 - 00:47] Speaker A: That's really considerate, but I've got that covered. Thank you, boss. I won't let you down."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--930750.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, good morning! You're up early today.\n[00:03 - 00:09] Speaker B: Good morning! Yeah, I couldn't sleep so I decided to get up and start my day. How was your\n[00:08 - 00:14] Speaker A: Sorry to jump in, but did you manage to get some rest at all? I know you've been having trouble sleeping lately.\n[00:20 - 00:24] Speaker B: Not really, but I figured getting up and moving might help. Anyway, how was your jog?\n[00:25 - 00:39] Speaker A: It was great! I felt really energized this morning and got a great workout in. Plus, the weather was perfect for  a nice long run through the park with all the trees in bloom and the fresh morning air really clearing my mind.\n[00:39 - 00:44] Speaker B: Speaking of the weather, do you think it'll stay like this? I was planning to go into town later.\n[00:44 - 00:51] Speaker A: I hope so! It would be nice to have a sunny day while we're out. So, what are your plans for today?\n[00:51 - 00:56] Speaker B: Well, I was thinking about going to the gym and then doing some grocery shopping. What about you?\n[00:56 - 01:02] Speaker A: I was thinking about going into town and running a few errands. Do you want to come with me?\n[01:02 - 01:04] Speaker B: Sure, that sounds like fun!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--490356.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Mom, I really want to try out for the talent show. I know I can sing well and I would love to have the chance to share my gift with others. Can you please help me fill out the application?\n[00:10 - 00:20] Speaker B: Sure, Greyson. Let me see the application. (Greyson hands over the application and his mother starts filling it out.) So, what made you decide that you wanted to audition for the\n[00:19 - 00:30] Speaker A: Actually, I've always loved singing and performing in front of people. And I thought this would be a great opportunity to showcase my talent. Plus, it would be really cool to win first prize!\n[00:36 - 00:52] Speaker B: That's definitely a valid reason for wanting to audition. And I think you have a good shot at winning if you give it your best effort. Just make sure you practice a lot so you're  fully prepared and confident when you step on stage, remembering to focus on your breathing techniques and maintaining good posture throughout your performance.\n[00:52 - 01:01] Speaker A: Oh, I will, Mom! I've already started practicing every day. I'm so excited for the audition! Thank you so much for helping me with the application.\n[01:02 - 01:04] Speaker B: You're welcome, Greyson. Good luck!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--13635.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: So, what's the story behind this place? It's got a pretty interesting atmosphere.\n[00:05 - 00:14] Speaker B: Oh, it's been around for a while. It used to be a pretty rowdy place, but we've toned it down a bit in recent years. Still, it's a popular spot for locals and tourists\n[00:13 - 00:20] Speaker A: Sorry to jump in, but when you say \"rowdy,\" do you mean it had a different kind of crowd or just a different vibe overall?\n[00:25 - 00:39] Speaker B: A bit of both, actually. The crowd was definitely more rambunctious, and the vibe was more chaotic. We made some changes to attract a more laid-back clientele. We want people to feel like they can come here and escape the hustle and bustle of the city for a while.\n[00:39 - 00:44] Speaker A: I can definitely appreciate that. I think more places should be like this.\n[00:44 - 00:51] Speaker B: Yeah, we get a lot of positive feedback from our customers. They say it's one of the things they love most about this place.\n[00:51 - 00:57] Speaker A: That's great to hear! I'm sure you guys work hard to make it a welcoming environment.\n[00:57 - 00:58] Speaker B: We do our best!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1106201.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hi, I'm Jaron and I'm thinking about starting my own business. Do you have any advice on how to get started?\n[00:07 - 00:13] Speaker B: Well, one of the first things you'll need is a business card. It's a great way to promote your business and get your name out\n[00:12 - 00:19] Speaker A: Sorry to jump in, but I'm not sure what kind of design I should go for or what information to put on it.\n[00:24 - 00:30] Speaker B: Well, it depends on what kind of business you're starting. Are you offering a service or selling a product?\n[00:30 - 00:32] Speaker A: I'm going to be selling handmade jewelry.\n[00:33 - 00:50] Speaker B: In that case, you'll want to include a photo of some of your work on your business card, along with your contact information and maybe a brief description of what you do. You can also include a discount or special offer for people who  make a purchase within a certain timeframe to encourage immediate action and help build your initial customer base.\n[00:51 - 00:59] Speaker A: Oh, I love the idea of including a discount! But what about the quality of the business card itself? Should I invest in something more premium?\n[01:00 - 01:17] Speaker B: Yes, investing in a high-quality card can make a good impression. Also, I wanted to mention earlier that getting your name out there involves more than just business cards; you might also want to consider  attending local craft fairs or markets to showcase your jewelry while networking with other artisans and potential customers in person.\n[01:17 - 01:21] Speaker A: Social media marketing, right? I've been thinking about that too."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--301485.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hi, I'm here because I've been having some pain in this tooth and I'm hoping you can\n[00:05 - 00:12] Speaker B: Absolutely, let's take a look. (examines tooth) It looks like you have a cavity that needs to be filled. Do you remember when the pain started?\n[00:17 - 00:22] Speaker A: It started a few days ago, but it's been getting worse. What do I need to do?\n[00:22 - 00:31] Speaker B: We'll need to clean out the cavity and then fill it with a material that will restore the tooth's function and protect it from further decay. I'll make sure you're comfortable throughout the procedure.\n[00:32 - 00:33] Speaker A: Will it hurt?\n[00:33 - 00:44] Speaker B: The procedure itself is not painful, but you may feel some discomfort afterwards as your tooth adjusts to the filling. Are you okay with the possibility of some mild discomfort after the anaesthetic wears off?\n[00:44 - 00:49] Speaker A: Sorry, just to clarify, will I need to take any painkillers after the procedure?\n[00:50 - 00:56] Speaker B: You might need some over-the-counter pain relief, but it should be manageable. Now, are you okay with proceeding?\n[00:57 - 00:58] Speaker A: Yes, let's do it.\n[00:59 - 01:07] Speaker B: Great. I'm going to give you a local anaesthetic to numb the area before we begin. (injects anaesthetic) You should start feeling the effects in a few minutes.\n[01:07 - 01:10] Speaker A: Wow, I can't believe how quickly that worked!\n[01:11 - 01:15] Speaker B: Yes, it should take effect pretty quickly so we can get started. (begins cleaning out cavity)\n[01:16 - 01:17] Speaker A: Is everything looking okay?\n[01:18 - 01:22] Speaker B: Yes, so far so good! We're just about finished cleaning out the cavity now."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--82144.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey Chris. I saw what you did to my locker. That was really messed up.\n[00:05 - 00:10] Speaker B: Oh, come on Keon. It was just a little prank. No need to get so worked up about\n[00:09 - 00:15] Speaker A: A little prank? You totally ruined my stuff! I had to buy all new clothes because of you!\n[00:20 - 00:26] Speaker B: Keon, I'm sorry. I really am. I didn't mean to cause you any trouble. I thought it would just be a harmless joke.\n[00:26 - 00:31] Speaker A: Yeah, well you did. And now I'm going to make sure you pay for it.\n[00:31 - 00:33] Speaker B: What are you talking about?\n[00:33 - 00:39] Speaker A: You're going to be a laughing-stock in front of everyone. Just like how you made me feel when you ruined my locker.\n[00:39 - 00:41] Speaker B: Keon, please don't do this.\n[00:42 - 00:46] Speaker A: It's too late. You should have thought about that before you messed with me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--778704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Sarah, I need to tell you something.\n[00:02 - 00:05] Speaker B: What is it? You can tell me anything, you know that.\n[00:06 - 00:11] Speaker A: It's just, this thing I'm going through, I don't think anyone could\n[00:10 - 00:14] Speaker B: Understand? I know it might feel that way, but I'm here to listen, really.\n[00:19 - 00:26] Speaker A: Okay, but you have to swear not to tell anyone else about this. It's really important to me that no one finds out.\n[00:27 - 00:29] Speaker B: Of course, I promise. Now what is it?\n[00:29 - 00:30] Speaker A: I think I'm gay.\n[00:31 - 00:39] Speaker B: What makes you say  that? Have you been feeling this way for a long time or is this something that's developed more recently through specific experiences and self-reflection?\n[00:39 - 00:46] Speaker A: I don't know, it's just a feeling I have. And lately, I've been thinking about guys a lot more than girls.\n[00:46 - 00:48] Speaker B: Have you talked to anyone else about this?\n[00:49 - 01:04] Speaker A: No, like I said, I don't think anyone would understand. Besides, it's not like there's anyone I can talk to about it  without feeling judged or misunderstood, especially in our conservative community where these topics are still considered taboo by many people.\n[01:05 - 01:08] Speaker B: But you can talk to me about it. I'm here for you, no matter what."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--713730.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I'm feeling great, thanks for asking. Just got done with a workout and I'm feeling refreshed and\n[00:05 - 00:08] Speaker B: You look it! What kind of workout did you do?\n[00:13 - 00:29] Speaker A: Oh, just some weightlifting and cardio. I like to start my day with a good workout; it really gets me going for the rest of the  day, especially when I have a busy schedule ahead and need to maintain both physical stamina and mental clarity throughout my various commitments.\n[00:30 - 00:34] Speaker B: I should try that sometime. Do you usually mix it up, or do you stick to the same routine?\n[00:35 - 00:40] Speaker A: I usually mix it up to keep things interesting. It's really helped me out a lot.\n[00:40 - 00:42] Speaker B: So, what's on your agenda for today?\n[00:43 - 00:49] Speaker A: I'm not really sure yet. I was thinking of maybe doing some shopping or something. What about you?\n[00:49 - 00:52] Speaker B: Oh, nothing too exciting. I have to work today unfortunately.\n[00:53 - 00:57] Speaker A: That sounds like a drag. I hope you have a good day though!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--179376.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Wow, this is an amazing city! I can't believe I'm finally here!\n[00:05 - 00:09] Speaker B: Yeah, it's pretty great. There's so much to see and\n[00:08 - 00:13] Speaker A: I know! I've only been here for a day and I already feel like I've seen so much.\n[00:18 - 00:25] Speaker B: Well, you're on the right tour. We'll show you all the best that this city has to offer, including some iconic landmarks you won't want to miss.\n[00:26 - 00:33] Speaker A: Actually, I was wondering if we could start with some of the less touristy spots? I really want to experience the local culture.\n[00:33 - 00:48] Speaker B: Absolutely! We can definitely include some hidden gems in the tour that will give you an authentic taste of daily life here  and introduce you to some amazing local artisans, family-run eateries, and neighborhood traditions that most visitors never get to experience."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--905725.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I don't like how that person ruined the event.\n[00:03 - 00:06] Speaker B: Yeah, that was really messed up. I'm sorry that happened.\n[00:07 - 00:12] Speaker A: Thanks. I was really looking forward to it and it just got ruined because of one person.\n[00:12 - 00:15] Speaker B: That must be really frustrating. Do you want to talk about what happened?\n[00:16 - 00:25] Speaker A: Yeah. So, I was at the event and everything was going great. I was having a lot of fun. And then all of a sudden, this one person just\n[00:24 - 00:29] Speaker B: How exactly did they ruin it? Did they say something or do something specific?\n[00:33 - 00:45] Speaker A: They started making rude comments and disrupting the activities. It just killed the vibe for everyone. It just sucks because I was really looking forward to it and then it got ruined because of one person.\n[00:45 - 00:48] Speaker B: That sounds really frustrating. I'm sorry that happened.\n[00:49 - 00:54] Speaker A: Thanks. I just wish there was a way to prevent people like that from ruining things for everyone else."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--845126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Cailynn. What's up?\n[00:01 - 00:03] Speaker B: Not much. Just hanging\n[00:02 - 00:08] Speaker A: Sorry to jump in, but I've noticed you've been watching me a lot lately. Is everything okay?\n[00:13 - 00:22] Speaker B: Yeah, of course. I just like seeing what you're  working on because you've been really focused lately, and it's inspiring to watch someone so dedicated to their craft and pushing boundaries creatively.\n[00:22 - 00:27] Speaker A: It makes me feel a little uneasy, to be honest. Like I can't trust you.\n[00:27 - 00:33] Speaker B: Saphire, I would never do anything to hurt you. You're my friend and I care about you. I'm just curious, that's all.\n[00:34 - 00:39] Speaker A: Okay, I believe you. But please try not to stare at me so much, it's really creepy."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--194829.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, thanks for coming out to the writers' group tonight. It's great to have you here.\n[00:05 - 00:12] Speaker B: No problem, Ekaterina. I'm always happy to help out with anything that has to do with writing. So, what did you want to\n[00:11 - 00:22] Speaker A: Sorry to jump in, I just want to make sure I explain the situation clearly. I've been working on a new piece and I've been stuck for a while. I was hoping to get some feedback from you guys.\n[00:26 - 00:28] Speaker B: Sure, no problem. Let's take a look.\n[00:29 - 00:34] Speaker A: Okay, well, it's a short story about a guy who discovers he has superpowers.\n[00:35 - 00:45] Speaker B: Sounds interesting. What kind of superpowers does he  have? Is it something unique or more like the classic superhero abilities that we've seen in popular comics and movies throughout the decades?\n[00:45 - 00:50] Speaker A: He can fly, he's really strong, and he can also shoot fire from his eyes.\n[00:50 - 00:54] Speaker B: Wow, that sounds really cool. How does he discover his powers?\n[00:55 - 01:04] Speaker A: Well, one day he just suddenly realizes that he can fly and that he's really strong. Then, when he tries to shoot fire from his eyes, it actually works!\n[01:05 - 01:09] Speaker B: That sounds like a really great story. I can't wait to read it when you finish it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--961025.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hank, what are you hiding from me?\n[00:02 - 00:04] Speaker B: I'm not hiding anything.\n[00:04 - 00:12] Speaker A: Yes, you are. I can tell by the way you're acting. You're being secretive and won't tell me what's going on. What\n[00:11 - 00:14] Speaker B: Fine, I'll tell you. But you have to promise not to get mad.\n[00:20 - 00:23] Speaker A: I won't get mad, I promise. Now spill it.\n[00:23 - 00:27] Speaker B: Okay, here goes...I've been seeing someone else behind your back.\n[00:27 - 00:38] Speaker A: Who is it? And how long has this been going on? I need to know every single detail right now because  this is completely unacceptable and I can't believe you'd betray my trust like this.\n[00:39 - 00:42] Speaker B: His name is Jason and we've been seeing each other for a few weeks now.\n[00:43 - 00:48] Speaker A: How could you do this to me? We've been together for two years and you just go and cheat on me?\n[00:49 - 00:59] Speaker B: Liani, I'm sorry. It just happened. I didn't mean for it to happen, but it did and there's nothing either of us can  do to change the past now that the truth is out in the open between us.\n[01:00 - 01:02] Speaker A: Well, we can break up for one thing!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--486716.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: There are a few options we can consider. Chemotherapy is one option that we can use to try and kill the cancer cells. Surgery is another option that may be able to remove the tumor. Radiation is another option that we can use to target the cancer cells and shrink the\n[00:16 - 00:21] Speaker B: Sorry to cut in, but I'm really anxious to know—what do you think is the best option for me?\n[00:27 - 00:50] Speaker A: I think that surgery is the best option in your case. With chemotherapy, there is always the risk of the cancer coming back. With surgery, there is a chance that we can remove the tumor and all of the cancer cells along with it. I think it's worth considering surgery as an  option that could give you the best chance of a full recovery, especially since your tumor appears to be localized and hasn't spread to other parts of your body yet.\n[00:51 - 00:55] Speaker B: Surgery sounds like the right move. Let's schedule it as soon as possible.\n[00:55 - 01:15] Speaker A: Great, I will get our team to start working on getting you scheduled for surgery. In the meantime, there are some things you can do to help prepare yourself mentally and emotionally for what lies ahead. I suggest talking to a counselor or therapist who can help you deal with your feelings about your diagnosis and treatment options."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--472748.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, so I've been thinking about this guy a lot lately and I can't figure out what his deal is.\n[00:06 - 00:07] Speaker B: What do you mean?\n[00:08 - 00:19] Speaker A: Well, we've been talking for a while now and things were going great. But lately it feels like he's pulling away. I don't know if I did something wrong or if he's just not that into me anymore.\n[00:19 - 00:21] Speaker B: Have you talked to him about it?\n[00:21 - 00:29] Speaker A: Yeah, but he just shrugs it off and says everything is fine. But I know something is up because he's been acting really distant lately.\n[00:30 - 00:34] Speaker B: Hmmm, that is strange. Do you think maybe he's seeing\n[00:33 - 00:43] Speaker A: Wait, you think he might be seeing someone else? I mean, I hope not. That would suck if that was the case. But at this point, I'm not sure what to think anymore.\n[00:47 - 00:54] Speaker B: Well, you could always try talking to him again and see how he responds. If he's still acting distant, then maybe it's time to move on.\n[00:55 - 01:03] Speaker A: Yeah, you're right. I'll talk to him again and see what happens. But do you think I should bring up the possibility of him seeing someone else directly?\n[01:04 - 01:11] Speaker B: That's a tough one. It might make things awkward, but if it's really bothering you, it might be worth mentioning. Just be prepared for whatever answer he gives.\n[01:12 - 01:14] Speaker A: Thanks for the advice, I really appreciate it.\n[01:15 - 01:18] Speaker B: No problem, that's what friends are for. Good luck!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--831005.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: No thank you, I'm not interested.\n[00:02 - 00:05] Speaker B: Oh, come on! Just take a look at this watch! It's a beauty!\n[00:06 - 00:08] Speaker A: Sorry, but I don't really need a watch right now.\n[00:09 - 00:13] Speaker B: Well, how about I give you a good deal on it? I'll give it to you for\n[00:13 - 00:19] Speaker A: Half price? I appreciate the offer, but honestly, I'm just not in the market for a watch.\n[00:24 - 00:30] Speaker B: Are you sure? I can give you an even better deal! I'll give it to you for an even bigger discount, almost at cost price.\n[00:31 - 00:35] Speaker A: Free? That's really generous, but no, thanks. I just don't need it.\n[00:36 - 00:38] Speaker B: Why not? It's a great watch!\n[00:38 - 00:41] Speaker A: I just don't need it, that's all. Thanks anyway.\n[00:42 - 00:44] Speaker B: Well, if you change your mind, let me know!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1101616.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I can't imagine how they must feel, being in that situation. It's just so unfair.\n[00:05 - 00:13] Speaker B: I know. It's hard to even think about what they must be going through. But we have to try to put ourselves in their shoes and understand how they\n[00:12 - 00:21] Speaker A: Absolutely, but what if we can't fully understand? I mean, it's one thing to empathize, but truly grasping their reality seems almost impossible.\n[00:26 - 00:40] Speaker B: True, we might never fully grasp it, but even trying to understand can make a difference. They must feel so hopeless and  exhausted from constantly battling against the odds while simultaneously trying to maintain some semblance of normal life for themselves and their loved ones.\n[00:41 - 00:45] Speaker A: Helpless, yes. And that helplessness is what makes it even more heartbreaking."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--63072.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hey, Mom. I noticed that there wasn't enough food for everyone, so I decided to make a meal for the family.\n[00:07 - 00:09] Speaker B: Charley, you didn't have to\n[00:08 - 00:15] Speaker A: I know, but I wanted to. I wanted to make sure that everyone had enough to eat and that they enjoyed the meal.\n[00:20 - 00:22] Speaker B: Thank you, son. That was really thoughtful of you.\n[00:23 - 00:27] Speaker A: No problem, Mom. I just want to help out however I can.\n[00:27 - 00:35] Speaker B: We appreciate it, honey. You're growing up to be such a responsible young man. It's great to see how much you care about the family.\n[00:35 - 00:47] Speaker A: Speaking of responsibility, I was wondering if I could help out more regularly around  the house with chores like doing laundry, cleaning the kitchen, and maybe even helping with grocery shopping when you need it?\n[00:47 - 00:51] Speaker B: Of course, that would be wonderful. We could always use the extra help."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--456887.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Ameria. I was just thinking about you and wanted to talk to you.\n[00:04 - 00:07] Speaker B: What's up, Kevonte? What's on your mind?\n[00:07 - 00:12] Speaker A: I was just thinking about how much you mean to me and how grateful I am to\n[00:11 - 00:17] Speaker B: Sorry to jump in, Kevonte, but I just remembered—did you get a chance to read that letter I sent you last week?\n[00:22 - 00:28] Speaker A: Oh, I haven't had the chance yet. But I wanted to let you know that I really appreciate you being there for me.\n[00:28 - 00:32] Speaker B: Of course, Kevonte. I'm always here for you. You're my best friend and I love you.\n[00:33 - 00:35] Speaker A: I love you too, Ameria."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--821468.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, Mom.\n[00:01 - 00:02] Speaker B: Hey, Moriah. What's up?\n[00:03 - 00:05] Speaker A: Not much. Just hanging out in my room.\n[00:06 - 00:08] Speaker B: That's good. I'm glad you're keeping busy.\n[00:09 - 00:12] Speaker A: Yeah, I'm just trying to stay out of\n[00:11 - 00:17] Speaker B: Trouble? Is everything okay? I mean, you know you can always talk to me if something's bothering you.\n[00:22 - 00:24] Speaker A: I'm just kind of going through some stuff right now.\n[00:25 - 00:38] Speaker B: Well, your father and I were just talking about how we need to have a serious talk with you about some things that have been going on  around the house and how you've been feeling lately because we've noticed some changes in your behavior and we're genuinely concerned about your well-being.\n[00:39 - 00:42] Speaker A: Wait, is this about me staying out late last weekend?\n[00:43 - 00:50] Speaker B: Not just that, but it's part of it. We've also noticed you've been acting a bit differently lately, and we're just wondering if everything is okay with you.\n[00:50 - 00:55] Speaker A: I don't know, Mom. Like I said, I'm just dealing with some stuff.\n[00:55 - 01:00] Speaker B: Okay. Well, if you ever want to talk about anything, we're here for you. We love you, Moriah.\n[01:01 - 01:02] Speaker A: I love you too, Mom."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1794.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I just feel so frustrated sometimes, you know? It feels like we're not making any progress at\n[00:05 - 00:11] Speaker B: I understand your frustration, but do you think there might be specific obstacles we're not addressing that's causing this feeling?\n[00:16 - 00:25] Speaker A: Maybe, but it's just that sometimes I feel like what I'm doing doesn't matter. That no matter how hard I try, it's never going to be enough.\n[00:25 - 00:31] Speaker B: Sierrah, listen to me. What you're doing does matter. You are making a difference. Don't ever doubt that.\n[00:31 - 00:41] Speaker A: I guess I just need some reassurance  from time to time, especially when things get tough and I start questioning whether I'm on the right path or making the right decisions.\n[00:42 - 00:49] Speaker B: Absolutely, and it's completely normal to feel that way. Can you think of any recent successes that might remind you of your impact?\n[00:49 - 00:58] Speaker A: I understand. But you have to believe in yourself, Sierrah. You are strong and capable, and you can make a difference. Never give up on your dreams."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1059254.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Blimy. I'm still pretty angry at you for what happened earlier today.\n[00:05 - 00:08] Speaker B: What are you talking about? I don't even know what you're mad\n[00:07 - 00:14] Speaker A: You know exactly what I'm talking about. You ruined my plans and made me look like a fool in front of everyone.\n[00:19 - 00:29] Speaker B: I didn't mean to do that, Rayana. I was just trying to  help you out by offering my honest opinion, but I guess it didn't come across that way and I should have been more considerate of your feelings.\n[00:29 - 00:33] Speaker A: Well, you didn't help out. You just made everything worse.\n[00:33 - 00:36] Speaker B: I'm sorry, Rayana. I really am.\n[00:36 - 00:42] Speaker A: It doesn't matter if you're sorry or not. You still ruined my day and I'm going to get revenge.\n[00:43 - 00:44] Speaker B: What are you going to do?\n[00:44 - 00:47] Speaker A: I'm going to let the air out of your tire.\n[00:47 - 00:49] Speaker B: That's not very nice, Rayana.\n[00:49 - 00:53] Speaker A: I don't care if it's not nice. You deserve it for what you did to me today.\n[00:54 - 01:00] Speaker B: Fine, go ahead and let the air out of my tire. But know that two can play this game and I'll get revenge on you too someday."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--748910.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, how are you doing?\n[00:02 - 00:06] Speaker B: Hey Lino. I'm doing alright, I guess. Just feeling a little down lately.\n[00:06 - 00:10] Speaker A: Oh, I'm sorry to hear that. What's been going on?\n[00:10 - 00:19] Speaker B: Well, my parents are getting divorced and it's just really hard to see them go through all of this fighting. And on top of that, my grades have been slipping and I'm just feeling really\n[00:18 - 00:29] Speaker A: Overwhelmed? I can totally understand that. Divorce is such a tough situation, and when it affects your grades too, it must feel like everything is piling up at once.\n[00:34 - 00:48] Speaker B: Yeah, it's been pretty rough. But I'm trying to stay positive and focus on the good things in my life. Like my friends and family who are supportive and love me no matter what. That helps a lot knowing that I have people who care about me even when things are falling apart in other areas."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--378283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hi.\n[00:00 - 00:01] Speaker B: Hey there.\n[00:01 - 00:03] Speaker A: So, what do you do?\n[00:03 - 00:05] Speaker B: I'm a software engineer. What about you?\n[00:06 - 00:07] Speaker A: I work in marketing.\n[00:08 - 00:10] Speaker B: That sounds interesting. What kind of stuff do you do?\n[00:10 - 00:19] Speaker A: A little bit of everything, really. I help come up with campaigns and strategies, and then we execute them and track the\n[00:19 - 00:23] Speaker B: Sorry to interrupt, but how do you measure the success of your campaigns?\n[00:28 - 00:42] Speaker A: We use various metrics like engagement rates, conversion rates, and ROI. But I haven't finished explaining how we execute and track the results, which is always changing, and we often adjust our strategies based on real-time data.\n[00:43 - 00:47] Speaker B: That sounds really dynamic. Do you find it challenging to keep up with the constant changes?\n[00:48 - 00:54] Speaker A: Yeah, I love it actually. I'm really lucky to have found a career that I'm passionate about."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--82238.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hey Aizen. I was wondering if you'd want to go out on a date with me? I think it would be fun to get to know each other\n[00:06 - 00:10] Speaker B: I don't know, Reymundo. I'm not sure if I'm ready for dating right now.\n[00:15 - 00:27] Speaker A: That's perfectly understandable. I just thought it would be a good opportunity to get to know each other better. We don't have to rush into anything serious; we can just take it slow and see how it goes.\n[00:27 - 00:28] Speaker B: I don't know...\n[00:29 - 00:41] Speaker A: Please, Aizen. Just give me a chance. I promise you'll have a good time  exploring new places and trying different activities together that we both might enjoy, like visiting art galleries or going hiking on weekends.\n[00:42 - 00:44] Speaker B: Alright, Reymundo. I'll go out on a date with you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--860269.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi, Karaline. I just wanted to check in with you and see how I'm doing.\n[00:04 - 00:08] Speaker B: You're doing great, Billy. I've been really impressed with your\n[00:07 - 00:13] Speaker A: Actually, before you continue, I was wondering if there are any specific areas where I could improve?\n[00:18 - 00:34] Speaker B: Well, one thing I would suggest is being a little more proactive in your work. Sometimes it seems like you're waiting for me to tell you what to do next instead of taking the initiative  which could help you grow into more leadership roles in the future by demonstrating your ability to anticipate needs and solve problems before they arise.\n[00:34 - 00:44] Speaker A: Got it. I'll definitely work on being more proactive. Just to clarify, do you think this is affecting my overall performance, or is it more of a minor adjustment?\n[00:44 - 00:52] Speaker B: It's more of a minor adjustment, but it could make a big difference in how efficiently you complete tasks. Other than that, keep up the good work!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--748822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, I'm sorry I'm late. I had a flat tire on the way in and didn't have a spare.\n[00:06 - 00:08] Speaker B: That's alright, these things happen. Are you\n[00:08 - 00:12] Speaker A: Actually, yeah, I'm fine. Just a little shaken up.\n[00:16 - 00:28] Speaker B: Well, take the rest of the day off to relax and get your bearings. We can't have you coming in to work all  stressed out and unable to focus on your tasks, especially when we have that important client presentation coming up next week.\n[00:28 - 00:33] Speaker A: Frazzled, I understand. Thank you, boss. I appreciate it.\n[00:34 - 00:38] Speaker B: No problem at all. Get some rest and we'll see you back here tomorrow bright and early."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--96343.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Thank you so much for all your help, Saquan. I really appreciate it.\n[00:04 - 00:07] Speaker B: Don't mention it. I'm just glad I could be of\n[00:06 - 00:14] Speaker A: Actually, I wanted to repay you for being so kind to me, so I did some research and found out that your birthday is coming up soon.\n[00:19 - 00:27] Speaker B: That's right, it is! How did you  find out about my birthday when I've been so careful not to mention it around the office? I don't think I've told anyone before.\n[00:27 - 00:36] Speaker A: I looked it up. Anyway, I wanted to get you a present, but I'm not sure what you would like. Do you have any ideas?\n[00:36 - 00:40] Speaker B: Well, I've been wanting a new set of golf clubs for a while now.\n[00:40 - 00:43] Speaker A: That sounds like a great idea! I'll get you some then.\n[00:44 - 00:47] Speaker B: Thank you, Mylee. You didn't have to go to all this trouble for me.\n[00:47 - 00:56] Speaker A: It's no trouble at all. Like I said, I wanted to repay you for everything you've done for me. So consider this my early birthday present to you.\n[00:56 - 00:58] Speaker B: Thank you, Mylee. You're too kind."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--852467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: A baby is such a blessing.\n[00:02 - 00:03] Speaker B: I know. I feel the same way.\n[00:04 - 00:07] Speaker A: It's amazing how much love you can feel for someone so\n[00:07 - 00:11] Speaker B: Sorry to interrupt, but do you think we're ready for all the responsibilities that come with it?\n[00:16 - 00:29] Speaker A: Yeah, it's really incredible. I just feel so grateful that we have this little life to take care of and  watch grow every day, learning new things and developing their own unique personality right before our eyes.\n[00:29 - 00:35] Speaker B: And love, of course. I just wanted to say that I'm really committed to sharing all the responsibilities equally.\n[00:35 - 00:36] Speaker A: Me too, babe."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--404560.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey friends, what's up?\n[00:02 - 00:04] Speaker B: Hey Aleyda. Not much, what's up with\n[00:03 - 00:09] Speaker A: Actually, I was just wondering why you guys are avoiding me lately. Is there something wrong?\n[00:14 - 00:26] Speaker B: No, it's just that you always seem to be the one trying to be the center of attention, and we don't really like  being in the middle of things because it makes us feel pressured to match your energy level all the time. We prefer to stay low-key.\n[00:27 - 00:37] Speaker A: Wait, you think I'm trying to be the center of attention? I was just trying to be friendly and participate in class. I didn't realize it was coming off that way.\n[00:37 - 00:43] Speaker B: It's not a bad thing, it's just that we prefer to keep to ourselves and not be in the spotlight all the time. That's all.\n[00:44 - 00:51] Speaker A: Oh, I see. Well, I'm sorry if I made you feel uncomfortable. I'll try to tone it down a bit from now on."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--108309.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Mom, I was walking home from school and I heard a wolf howl. I felt terrified and ran the rest of the way\n[00:07 - 00:10] Speaker B: Oh my goodness! A wolf? Are you sure it wasn't just a dog?\n[00:15 - 00:19] Speaker A: No, it was definitely a wolf. It sounded just like the ones on TV.\n[00:20 - 00:24] Speaker B: Well, you're safe now. There's no need to worry about it anymore.\n[00:24 - 00:26] Speaker A: But what if the wolf comes back?\n[00:27 - 00:30] Speaker B: We'll just have to be careful and make sure we don't go outside alone at night."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--93623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi boss, how are you today?\n[00:02 - 00:05] Speaker B: Arlene, I'm doing well thanks. How are you settling in?\n[00:06 - 00:13] Speaker A: I'm loving it so far! I've only been working here a week but I feel like I'm really getting the hang of\n[00:12 - 00:20] Speaker B: Sorry to jump in, but I wanted to ask—do you feel like you have all the resources you need? Sometimes new hires find they need something extra after their first week.\n[00:25 - 00:35] Speaker A: Actually, now that you mention it, I could use a bit more guidance on some of the software tools we use. But overall, everyone has been really helpful and welcoming.\n[00:36 - 00:42] Speaker B: That's great to hear! We're really happy to have you on board. I think you're going to be a great asset to our team. Keep up the good work!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--385362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, how's your business doing?\n[00:02 - 00:07] Speaker B: It's going well, thanks for asking. We've been growing steadily and we're starting to\n[00:06 - 00:14] Speaker A: Sorry to interrupt, but when you say \"growing steadily,\" do you mean in terms of revenue, customer base, or something else?\n[00:19 - 00:26] Speaker B: Mainly in terms of our customer base, but revenue has also seen a consistent rise. How about you? How's your business doing?\n[00:26 - 00:39] Speaker A: It's going good too. We just launched a new product line and it's  gaining a lot of traction in the market, especially among environmentally conscious consumers who appreciate sustainable and high-quality home products.\n[00:40 - 00:43] Speaker B: Oh, what kind of product? I'm curious to know what you've been working on.\n[00:43 - 00:47] Speaker A: It's a line of eco-friendly home goods, and it's doing really well.\n[00:48 - 00:50] Speaker B: Congratulations! That's amazing news."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--915430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I'm so grateful to have found you. You make me feel truly alive for the first time in my life.\n[00:06 - 00:10] Speaker B: I'm glad I could be here for you, Lamarion. I know it hasn't been easy for you in the past.\n[00:11 - 00:18] Speaker A: Yeah, I never knew that it was possible to feel this way. But now that I've found love, I feel like anything is\n[00:17 - 00:25] Speaker B: Sorry to interrupt, but I just have to say, it's amazing how much you've grown emotionally. Do you feel like you've learned something new about yourself through this experience?\n[00:30 - 00:40] Speaker A: Definitely. I've realized that I'm capable of deeper emotions than I ever imagined. And, as I was saying, now that I've found love, I feel like anything is possible.\n[00:40 - 00:47] Speaker B: That's how love should make you feel, Lamarion. Like you can conquer the world because you have someone by your side who believes in you.\n[00:48 - 00:54] Speaker A: I never knew that love could be so beautiful. Thank you for showing me what true happiness feels like.\n[00:54 - 00:59] Speaker B: I'm just glad I could be here for you, Lamarion. You deserve all the happiness in the world."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1023331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Adolfo! I'm so glad to see you!\n[00:03 - 00:07] Speaker B: Aurelius! I've missed you so much! It's been too\n[00:06 - 00:13] Speaker A: I know, right? It's like time just flies by. I've been meaning to call you but things have just been so crazy lately.\n[00:18 - 00:20] Speaker B: What's been going on? Work, family, or something else?\n[00:21 - 00:32] Speaker A: A bit of everything, honestly. Work has been hectic, and on top of that, I've had some personal stuff going on too. But I'm doing alright, considering. Just trying to take things one day at a time.\n[00:33 - 00:37] Speaker B: That's the best way to do it. Hey, do you want to go get coffee or something? Catch up?\n[00:37 - 00:39] Speaker A: Yeah, that sounds great. Let's go."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--775321.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, mom.\n[00:01 - 00:03] Speaker B: Hey, sweetie. What's up?\n[00:03 - 00:05] Speaker A: Just feeling a little down today.\n[00:06 - 00:07] Speaker B: Aww, what's wrong?\n[00:07 - 00:12] Speaker A: I don't know. Everything just seems kind of point\n[00:11 - 00:20] Speaker B: Pointless? Darvin, I've been there before, and I want to remind you that these feelings are temporary. Have you been able to talk to anyone else about how you're feeling?\n[00:25 - 00:28] Speaker A: Not really. I just feel like no one would understand.\n[00:28 - 00:34] Speaker B: I understand, sweetie. But I promise you, life is always worth living. You just have to find your purpose in it.\n[00:35 - 00:39] Speaker A: Yeah, I guess you're right. Thanks, mom. Love you.\n[00:39 - 00:41] Speaker B: Love you too, baby."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--118976.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I just made these cookies and I don't want them to get squished, so I'm putting them in this plastic\n[00:05 - 00:11] Speaker B: Oh, speaking of bags, do you think they'll stay fresh in there for long? I might want to save some for later.\n[00:16 - 00:26] Speaker A: They should be fine for a day or two, but if you want them to last longer, you might want to use an airtight container. Anyway, I made a lot, so there's enough for everyone.\n[00:27 - 00:30] Speaker B: Great, because I'm starving. Can I have some now?\n[00:30 - 00:31] Speaker A: Here, take some.\n[00:32 - 00:33] Speaker B: Thanks. These are really good."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--298729.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, Julieann. I'm sorry about the dishes. I totally forgot to do\n[00:04 - 00:12] Speaker B: You forgot? I told you specifically to do them before I left for work this morning, and you didn't do them. Now they're just sitting there in the sink, dirty and wet.\n[00:17 - 00:21] Speaker A: I know, I'm really sorry about that. It won't happen again, I promise.\n[00:22 - 00:31] Speaker B: It had better not. I don't like coming home to  a messy kitchen after a long day at work especially when I've been dealing with difficult clients all day and just want to relax in a clean space.\n[00:32 - 00:35] Speaker A: I know you don't, and I'm sorry. I'll do the dishes right now."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--762740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Cristine's wife is beautiful.\n[00:02 - 00:05] Speaker B: Yeah, she is. I'm so lucky to have her.\n[00:06 - 00:12] Speaker A: I feel guilty because I know that Cristine's wife is actually in a coma and she is not\n[00:11 - 00:13] Speaker B: What? Why would you say that?\n[00:18 - 00:24] Speaker A: I don't know. It just feels wrong to me, seeing you so happy when she's stuck in a hospital bed.\n[00:25 - 00:35] Speaker B: Emmah, she's going to be okay. The doctors are confident she'll wake up soon and be back to her  normal life with all her memories intact, and I can't wait for that day when we can finally hold each other again.\n[00:36 - 00:41] Speaker A: But what if she doesn't? Have you thought about what happens if she doesn't wake up?\n[00:42 - 00:49] Speaker B: I try not to think that way. The doctors believe in her recovery, and that's what I'm holding on to. So please don't say things like that, it doesn't help.\n[00:50 - 00:53] Speaker A: I'm sorry, Cristine. I didn't mean to upset you.\n[00:53 - 00:58] Speaker B: It's okay. I know you didn't mean it. Just try to be positive for me, okay?\n[00:58 - 01:00] Speaker A: Sure, anything for you, Cristine."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--414445.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I can't believe this is happening. I feel like my whole world is crumbling down around\n[00:04 - 00:15] Speaker B: I'm so sorry, Hendrick. I know how hard you've worked on your business and how much it means to you. But have you thought about reaching out to some of your old contacts? Maybe they could help you find a way forward.\n[00:20 - 00:33] Speaker A: It feels like everything I've built up has been destroyed in an instant. I don't know what I'm going to do or where I'm going to go from here. It's like I'm standing at the edge of a cliff with no clear path ahead.\n[00:33 - 00:38] Speaker B: We'll figure it out together, Hendrick. You're not alone in this. I'm here for you, no matter what happens.\n[00:39 - 00:43] Speaker A: Thank you, John. Just knowing you're here with me makes me feel a little better.\n[00:44 - 00:45] Speaker B: Of course, Hendrick. I love you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--752118.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey Tony, how's it going? I haven't seen you in a while.\n[00:04 - 00:09] Speaker B: I'm doing alright, thanks for asking. How about you? How's the music scene treating you?\n[00:09 - 00:16] Speaker A: It's been good. I've been really busy lately with gigs and rehearsals. I'm loving every\n[00:15 - 00:20] Speaker B: Oh, that sounds intense! Are you managing to find any time to rest in between all that?\n[00:25 - 00:39] Speaker A: Honestly, not much. But I wouldn't trade it for anything. I love the way the upright bass sounds. It's so rich and full. And I love the way it can bring a whole new dimension to the music, especially in live performances.\n[00:39 - 00:46] Speaker B: Totally, the upright bass has such a unique presence. But do you ever feel like you need to switch things up, maybe experiment with other instruments?\n[00:47 - 00:58] Speaker A: Sometimes, but the upright bass just resonates with me on a different level. I've been playing for many years and still enjoy it as much as I did when I first started.\n[00:58 - 01:02] Speaker B: That's really great. I'm sure your fans appreciate your passion for music.\n[01:02 - 01:05] Speaker A: Thank you, Tony. I appreciate your support."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--867206.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hi, Eian. I'm Sephora. I saw you at the library and you were behaving strangely. Are you a threat?\n[00:06 - 00:10] Speaker B: No, I'm not a threat. I was just feeling a bit out of\n[00:10 - 00:14] Speaker A: Out of sorts? Or was it something specific that triggered it?\n[00:19 - 00:24] Speaker B: I think it was just a mix of things. I was feeling really off and like something wasn't right.\n[00:24 - 00:25] Speaker A: Do you need help?\n[00:26 - 00:33] Speaker B: No, I don't think so. I think I just need to go home and take some time to clear my head. Maybe I'll feel better after some rest.\n[00:33 - 00:42] Speaker A: Wait, before you go, are you sure there's nothing else bothering you? Sometimes talking it out can help.\n[00:42 - 00:47] Speaker B: I appreciate that, but really, I just need to rest. Thanks for asking, though.\n[00:48 - 00:53] Speaker A: Okay, well if you're sure you're not a threat. Let me know if you need anything.\n[00:53 - 00:54] Speaker B: I will, thanks."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--797399.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, how've you been? It feels like forever since we've talked!\n[00:04 - 00:08] Speaker B: I know, right? I've been good. Just keeping busy with work and my\n[00:07 - 00:11] Speaker A: Oh, speaking of work, what's new with you? Anything exciting?\n[00:16 - 00:21] Speaker B: Not much. Just the usual grind. But I did just get a promotion, so that's exciting.\n[00:22 - 00:25] Speaker A: Congratulations! That's great news.\n[00:25 - 00:33] Speaker B: Thanks. It's definitely a nice raise too. I'm looking forward to spending more time at home now that I don't have to commute as often as before.\n[00:33 - 00:40] Speaker A: Wait, does that mean you'll be working from home more often? That sounds like a game-changer for your work-life balance.\n[00:40 - 00:48] Speaker B: Exactly! I'll be remote most days, which is going to be a huge relief. And I was going to say, spending more time with the family will be amazing too.\n[00:48 - 00:53] Speaker A: Yeah, I can imagine that would be a big relief. So how's your family doing?\n[00:54 - 01:03] Speaker B: They're all good. My kids are growing up so fast, it feels like they're changing every day. And my wife is pregnant again, so we're getting ready for another baby in the house soon.\n[01:03 - 01:08] Speaker A: Wow! Another baby on the way? That's amazing news! Congratulations!\n[01:08 - 01:13] Speaker B: Thanks. We're really excited. It's going to be a lot of work, but it'll be worth it in the end.\n[01:13 - 01:20] Speaker A: I'm sure it will be. Well, I'm really happy for you and your family. I'm sure you'll all be great parents.\n[01:21 - 01:23] Speaker B: Thanks, Zhavia. I appreciate that."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--304811.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Mom. I'm home from school.\n[00:02 - 00:05] Speaker B: Hi, Bennett. How was your day?\n[00:05 - 00:10] Speaker A: It was okay. I got in a little trouble at school, but nothing\n[00:10 - 00:12] Speaker B: What kind of trouble? You know you can tell me.\n[00:17 - 00:31] Speaker A: Well, I was walking in the hall and one of the teachers saw me. She started yelling at me for being out of class and told me to go to the office. But I didn't want to get into more trouble, so I snuck out of the school instead.\n[00:31 - 00:46] Speaker B: Bennett, you know you're not supposed to be out of class or leave school without permission. You could get into a lot of trouble if you're  caught doing something like that again, especially since the school has been cracking down on unauthorized absences and they might call the police for truancy cases."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--146504.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Demetrious, can you please be quiet during the movie?\n[00:03 - 00:06] Speaker B: But I'm just trying to make sure you're following what's going on.\n[00:07 - 00:11] Speaker A: Well, I would appreciate it if you would let me watch in\n[00:09 - 00:14] Speaker B: Sorry to interrupt, but if you miss a key part, won't you be confused later?\n[00:19 - 00:28] Speaker A: I understand, but I really want to focus on the movie. Fine, but I'm still going to talk afterwards about what happened and discuss any parts I didn't understand.\n[00:29 - 00:33] Speaker B: I just thought of something—what if we discuss it during the credits instead?\n[00:33 - 00:36] Speaker A: That's fine, but can we just enjoy the movie now?\n[00:36 - 00:37] Speaker B: Whatever."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--231222.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Tyeisha!\n[00:01 - 00:03] Speaker B: Oh, hey Lolita. What's up?\n[00:03 - 00:06] Speaker A: Not much. Just wanted to say hi.\n[00:06 - 00:07] Speaker B: Hi!\n[00:07 - 00:09] Speaker A: So, what's new with you?\n[00:09 - 00:12] Speaker B: Not much. Just hanging out, doing my thing.\n[00:12 - 00:18] Speaker A: That's cool. I'm just chilling too. So, what have you been up to\n[00:17 - 00:21] Speaker B: Actually, I wanted to ask, have you heard about the new club that's starting on campus?\n[00:26 - 00:32] Speaker A: No, I haven't. What's it about? I was just asking what you've been up to lately.\n[00:32 - 00:35] Speaker B: Just the usual stuff. You know, school and work and stuff.\n[00:35 - 00:41] Speaker A: Yeah, I know how that is. It can be pretty tough to balance everything sometimes.\n[00:41 - 00:51] Speaker B: Tell me about it! But it's all good though. I'm managing so  far, but it does get overwhelming at times when the deadlines start piling up and I have to juggle multiple projects simultaneously.\n[00:51 - 00:59] Speaker A: Sorry to cut in, but I just remembered, do you need any help with your workload? Maybe we can study together or something.\n[00:59 - 01:06] Speaker B: That's really nice of you! I'm managing so far. That's great! I'm sure you'll do fine. You're a smart guy.\n[01:06 - 01:07] Speaker A: Thanks Lolita!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--437704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Honey, I'm really tired. I've been working all day and it's already 7pm.\n[00:05 - 00:12] Speaker B: I can tell. You look exhausted. Why don't you go take a shower and then relax for a bit? I'll make us some\n[00:11 - 00:18] Speaker A: Sorry to interrupt, but I just remembered we might be out of groceries. Did you have a chance to go shopping today?\n[00:23 - 00:29] Speaker B: No, I didn't. But I can quickly run to the store while you shower. You really need to take a break.\n[00:29 - 00:33] Speaker A: Thanks, that sounds great. I could really use a break.\n[00:33 - 00:38] Speaker B: No problem. I know how hard you've been working lately. You deserve a little relaxation time.\n[00:39 - 00:46] Speaker A: Yeah, I've been feeling a bit burnt out lately. But I'm determined to make sure I finish this project on time.\n[00:46 - 00:51] Speaker B: I completely understand. But have you considered talking to your boss about your workload?\n[00:51 - 01:01] Speaker A: I haven't yet. But I think I might need to soon. I admire your dedication. But you need to take care of yourself too. You can't keep working like this forever.\n[01:02 - 01:04] Speaker B: I know. But for now, this is what I have to do.\n[01:05 - 01:11] Speaker A: Well, at least let me help you out as much as possible. I don't want you to feel like you're doing this all alone.\n[01:12 - 01:14] Speaker B: Thanks, honey. I appreciate that more than you know."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--90368.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, what brings you here to this school?\n[00:02 - 00:06] Speaker B: I'm actually from out of state. My family moved here a few months ago.\n[00:06 - 00:10] Speaker A: Oh, that's interesting. Where are you from\n[00:09 - 00:16] Speaker B: Sorry to jump in, but do you know if there are any good places around here that remind you of home? Like maybe a spot with a similar vibe?\n[00:20 - 00:32] Speaker A: Well, I was going to say I'm from Florida, and honestly, I haven't found a place that feels exactly like home yet. But there are a few nice parks around. What about you? Where are you from?\n[00:32 - 00:38] Speaker B: I'm from California. But I've only lived here for a year too. So we're both newbies! Do you like it here so far?\n[00:39 - 00:47] Speaker A: Yeah, I do. It's been really great getting to know all the different people and cultures. What about you? Do you like it here in California?\n[00:47 - 00:54] Speaker B: I love it! It's so different from where I'm from. There are so many things to do and see. And the weather is amazing.\n[00:54 - 01:05] Speaker A: Yeah, I can't complain about the weather here. But I do miss the beach  back in Florida, especially the warm ocean breeze and the sound of waves crashing against the shore at night.\n[01:05 - 01:08] Speaker B: Oh, yeah! I miss the beach too. We should go sometime!\n[01:09 - 01:10] Speaker A: That would be great!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1007774.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, dad.\n[00:01 - 00:03] Speaker B: Hey, son. How are you doing?\n[00:03 - 00:07] Speaker A: I'm okay. I've just been staying away from the lake for a while.\n[00:07 - 00:11] Speaker B: I can understand that. It must be hard for you to go back there after what happened.\n[00:12 - 00:17] Speaker A: Yeah, it is. I feel guilty about what happened and I don't want to see\n[00:16 - 00:22] Speaker B: Sorry to interrupt, but have you thought about talking to a therapist? It might help you process what you're feeling.\n[00:27 - 00:33] Speaker A: I haven't really considered that. I just feel so ashamed of what I did and I don't want to see anyone.\n[00:33 - 00:37] Speaker B: You need to face your guilt. You can't keep running away from it.\n[00:37 - 00:43] Speaker A: I know, but it's so hard. I'm ashamed of what I did and I don't want to see anyone.\n[00:44 - 00:57] Speaker B: You need to forgive yourself, son. What happened was an accident and you can't keep living in guilt and shame because  it will only make things worse for you in the long run, affecting your mental health, relationships, and ability to move forward with your life in a positive way.\n[00:57 - 01:01] Speaker A: But dad, what if people don't understand? What if they blame me?\n[01:02 - 01:10] Speaker B: It's natural to worry about that, but you can't control how others feel. You can only control how you deal with your own emotions. It will eat you alive.\n[01:10 - 01:12] Speaker A: I know, dad. I'll try to let it go.\n[01:13 - 01:14] Speaker B: That's all we can ask for, son."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--27446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, Evangelina. How are you doing today?\n[00:03 - 00:07] Speaker B: I'm doing alright, Hattie. Just a little hungry.\n[00:07 - 00:09] Speaker A: Oh, yeah? What would you\n[00:08 - 00:11] Speaker B: Sorry, but are you hungry too? Maybe we can decide together.\n[00:16 - 00:24] Speaker A: I hadn't thought about that, but sure, I'm a bit hungry as well. I don't know. Maybe a sandwich or something.\n[00:24 - 00:28] Speaker B: Okay, what kind of sandwich would you prefer? Do you have any specific cravings?\n[00:29 - 00:33] Speaker A: Actually, I was thinking about a PB&J. What about you?\n[00:34 - 00:38] Speaker B: Hmm, maybe a PB&J sounds good. All right, coming right up."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--480349.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I'm sorry that I haven't been managing my time as well as I should. I know it's something that I need to\n[00:05 - 00:12] Speaker B: It's not just about managing your time, Rosalie. It's about being more efficient with the time you have. Let me give you some specific examples.\n[00:17 - 00:23] Speaker A: OK, boss. Give me some specific examples of how I can improve my time management skills.\n[00:24 - 00:37] Speaker B: Rosalie, you need to learn to prioritize your tasks and work on the most important ones first. Secondly, you need to take breaks when you feel overwhelmed or when you find yourself losing focus, so you can come back to your tasks with a fresh perspective.\n[00:37 - 00:45] Speaker A: Sorry to interrupt, but when you say \"prioritize,\" do you mean I should make a daily list or is there another method you recommend?\n[00:45 - 01:02] Speaker B: A daily list is a great start, but also consider categorizing tasks by urgency and importance. As I was saying, you should take breaks when you feel overwhelmed or  stressed instead of working through those feelings, as this will actually improve your overall productivity and help you maintain better mental clarity throughout your workday.\n[01:02 - 01:09] Speaker A: No, I think I understand. I'm sorry for not managing my time better. I'll do my best to improve.\n[01:09 - 01:13] Speaker B: I know you will, Rosalie. Just take it one day at a time and you'll get the hang of it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--744708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey coach, can I talk to you for a second?\n[00:02 - 00:04] Speaker B: What's up Ceasar?\n[00:04 - 00:11] Speaker A: I'm just feeling really down right now. I feel like I've failed my team and let everyone\n[00:09 - 00:17] Speaker B: Ceasar, I understand you're feeling this way, but remember, everyone has off days. What happened specifically that's making you feel like this?\n[00:22 - 00:30] Speaker A: Well, I made a mistake during the last game that cost us a point, and I can't stop replaying it in my head. I feel like I've let everyone down.\n[00:31 - 00:42] Speaker B: Ceasar, it sounds like you're being pretty hard on yourself. Everyone makes mistakes sometimes, even the best players in the world. The important thing is that you learn from them and don't let them get you stuck in a negative mindset.\n[00:42 - 00:49] Speaker A: I know, coach, but it's just tough to shake off. I keep thinking about how it affected the team.\n[00:49 - 00:56] Speaker B: You're still a valuable member of this team and we need you out there on the field. The team counts on your resilience as much as your skill.\n[00:57 - 01:00] Speaker A: Thanks coach. Just hearing that makes me feel a little better.\n[01:01 - 01:04] Speaker B: No problem, now go out there and show everyone what you're made of!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1088159.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, what did you think of the concert?\n[00:02 - 00:09] Speaker B: It was amazing! I loved every minute of it. Taylor Swift is such an incredible performer. She always puts on a great show.\n[00:09 - 00:16] Speaker A: I know, right? She's just so talented and down to earth. I love how she interacts with her\n[00:16 - 00:23] Speaker B: Sorry to jump in, but did you notice how she changed the setlist compared to her last tour? It was such a pleasant surprise.\n[00:28 - 00:37] Speaker A: Yes, I did! It kept things fresh and exciting. Speaking of interactions, she's really sweet. I met her once and she was so nice.\n[00:37 - 00:41] Speaker B: Oh, my gosh! You met her? That's amazing! What was she like?\n[00:41 - 00:50] Speaker A: She was really cool. We talked for a while and she signed my autograph. It was one of the best moments of my life; she was so down to earth.\n[00:51 - 00:54] Speaker B: Wait, you actually talked to her? What did you talk about?\n[00:55 - 01:01] Speaker A: We talked about her music and how much her songs mean to me. She was so genuine and it was awesome.\n[01:01 - 01:04] Speaker B: That sounds incredible! I'm so jealous."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--514047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Raylene! I'm glad I found you.\n[00:03 - 00:06] Speaker B: Hey, Kellee! I'm glad you found me too. What are you\n[00:05 - 00:09] Speaker A: Sorry, quick question—do you have any plans for the rest of the day?\n[00:14 - 00:17] Speaker B: Not much. Just hanging out and looking for something to do. You?\n[00:18 - 00:29] Speaker A: Same here. But I'm always up for doing something if you have any  suggestions or ideas that could get us out of the house and maybe explore that new part of town we've been meaning to check out.\n[00:29 - 00:32] Speaker B: Actually, I was thinking we could go get some ice cream or something.\n[00:33 - 00:35] Speaker A: That sounds great! Let's go!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--767328.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Jaliyah, what's going on? You've been daydreaming in class and your work is\n[00:05 - 00:09] Speaker B: I'm just really into this game I've been playing. I can't seem to stop thinking about it.\n[00:14 - 00:29] Speaker A: Jaliyah, you're addicted to that game! It's taking over your life! You need to get rid of it before it destroys everything you've worked so hard  to achieve, like your grades and your future goals, not to mention your relationships with friends and family who are worried about you.\n[00:30 - 00:34] Speaker B: But I love the game! It's so much fun! I can't just stop playing it cold turkey.\n[00:34 - 00:52] Speaker A: I know it's tough, but you have to try. If you don't, you'll never be able to focus on anything else ever again. Just think about how much better your life will be without that game consuming all of your time and energy. Won't it be great to actually pay attention in class and get good grades again?\n[00:52 - 00:57] Speaker B: I guess you're right. It's just so hard to let go of something I enjoy so much.\n[00:57 - 01:04] Speaker A: It is hard, but you can do it. Just take it one day at a time and eventually you'll be able to kick the habit for good."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--938056.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Look, Lenny, I think it's time we ended this relationship.\n[00:03 - 00:04] Speaker B: What? Why?\n[00:05 - 00:07] Speaker A: I just don't think it's\n[00:07 - 00:11] Speaker B: Wait, can we at least talk about this? I mean, what exactly isn't working out?\n[00:16 - 00:19] Speaker A: I just don't think we're compatible, that's all.\n[00:19 - 00:27] Speaker B: But I love you! Surely we can  try to work things out, maybe see a counselor or something that could help us understand each other better and possibly rebuild what we've lost?\n[00:28 - 00:32] Speaker A: Lenny, I'm sorry. I just don't feel the same way about you.\n[00:33 - 00:37] Speaker B: Fine. If that's how you feel, then I guess there's nothing left to say except goodbye.\n[00:37 - 00:38] Speaker A: Goodbye, Lenny."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--207527.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi there! I'll have a double scoop of mint chocolate chip in a waffle cone, please.\n[00:04 - 00:07] Speaker B: Coming right up! That'll be $3.50.\n[00:07 - 00:08] Speaker A: Thank you!\n[00:08 - 00:10] Speaker B: You're welcome. How's your day going?\n[00:11 - 00:18] Speaker A: It's going great, thanks for asking. I just got out of work and I'm feeling pretty good about life right\n[00:17 - 00:19] Speaker B: Oh, what kind of work do you do?\n[00:24 - 00:33] Speaker A: I work in graphic design. I was saying, I'm feeling good about life right now. This ice cream is definitely going to make my day even better.\n[00:33 - 00:39] Speaker B: That's great to hear! I'm glad we could help you out. Make sure to come back and see us again soon!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--205208.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, what do you think about the situation we're in?\n[00:03 - 00:06] Speaker B: Honestly, I'm not sure. It's a lot to\n[00:06 - 00:13] Speaker A: Sorry to interrupt, but do you think we should talk to someone else about this? Maybe getting another perspective could help.\n[00:18 - 00:25] Speaker B: That's a good idea, but I think we also need to stay strong ourselves. We'll get through this if we keep supporting each other like we always have.\n[00:26 - 00:33] Speaker A: Together. Yes, I believe that too. I don't know what I would do without you, Aryah. You've always been there for me.\n[00:34 - 00:37] Speaker B: And I will always be there for you, Tatiyana. You're my best friend.\n[00:38 - 00:40] Speaker A: Thank you. I appreciate that."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--187351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Good morning, Mr. Nguyen! I hope you're doing well today.\n[00:03 - 00:05] Speaker B: I'm doing well, thank you. How are you?\n[00:06 - 00:11] Speaker A: I'm feeling great today! I have a lot of energy and I'm excited to\n[00:10 - 00:15] Speaker B: Sorry to interrupt, but I wanted to ask if there's anything specific you're looking forward to today?\n[00:20 - 00:36] Speaker A: I was going to say I'm excited to start my day. Actually, I'm looking forward to a team meeting we have later. I love working here. It's a great environment and the people are really  supportive and collaborative, always willing to share their expertise and help each other grow professionally.\n[00:37 - 00:44] Speaker B: I'm glad to hear that! Speaking of the team, do you think we should plan more team-building activities to maintain this positive environment?\n[00:44 - 00:52] Speaker A: That's a great idea! We could definitely benefit from more team-building activities. We're happy to have you on our team."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--740576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, what do you think of the movie so far?\n[00:02 - 00:07] Speaker B: It's okay, I guess. I'm not really sure what's going on, but it's visually\n[00:06 - 00:13] Speaker A: Stunning, right? The cinematography is just breathtaking. But yeah, the plot can be a bit hard to follow.\n[00:17 - 00:20] Speaker B: Exactly. I just wish I could follow it a bit better.\n[00:21 - 00:28] Speaker A: Yeah, me too. But like you said, the visuals are really engaging, and they kind of make up for the confusing storyline.\n[00:28 - 00:32] Speaker B: Incredible, absolutely. This film is definitely one of a kind.\n[00:33 - 00:36] Speaker A: For sure. I'm really glad we decided to see it.\n[00:37 - 00:39] Speaker B: Yeah, me too. Thanks for suggesting it.\n[00:39 - 00:42] Speaker A: No problem. I thought you might like it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--44625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I can't take this anymore. I feel like a puppet, always having to do what you say. I'm suffocated by the oppression I face at work.\n[00:08 - 00:17] Speaker B: Christos, I understand how you feel. But you need to understand that I'm only trying to help you be successful. If you don't want to do what I say, then maybe this isn't\n[00:16 - 00:27] Speaker A: It's not that I don't want to do what you say, it's that I feel like I have no choice. I need this job to survive, but it feels like every day is a battle just to get through it.\n[00:32 - 00:41] Speaker B: Christos, I'm sorry that you feel that way. But if it's really that bad, maybe you should look for another opportunity that aligns better with your values and needs.\n[00:41 - 00:49] Speaker A: I can't just leave, I have bills to pay. This is the only job I can find that pays enough to cover my expenses.\n[00:49 - 00:59] Speaker B: I get that, but have you considered talking to HR about your concerns? Maybe they can offer some support or even suggest other roles within the company that might be a better fit for you.\n[00:59 - 01:07] Speaker A: I haven't thought about that. Maybe I should give it a try. But I still feel like the core issue is the lack of autonomy in my current role."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1092169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Mmm, this cake is so good! I'm glad I could share it with you.\n[00:04 - 00:06] Speaker B: Thank you! It looks delicious.\n[00:06 - 00:13] Speaker A: It is! I made it myself using a special family recipe that's been passed down for generations\n[00:12 - 00:17] Speaker B: Really? It looks like it took a lot of time and effort, especially with how perfect the frosting is.\n[00:22 - 00:28] Speaker A: Oh, it did! I spent all morning baking it. But it was worth it, seeing how much you're enjoying it.\n[00:29 - 00:31] Speaker B: I really am! Thank you again for sharing."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1081079.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I can't believe I forgot to schedule my interview. I'm so disappointed in myself.\n[00:05 - 00:09] Speaker B: It's not your fault, Brendin. Things happen. You can't beat yourself up over it.\n[00:10 - 00:13] Speaker A: But this was my dream job. I was so\n[00:13 - 00:20] Speaker B: Sorry to cut you off, but have you tried contacting them to explain the situation? Sometimes they might be understanding and give you another chance.\n[00:25 - 00:31] Speaker A: I haven't thought of that. But what if I don't get another chance? What if this is the only chance I had?\n[00:32 - 00:43] Speaker B: Brendin, stop panicking. You're going to make yourself sick if you keep this up. Just take a deep breath and relax. Everything will be okay. You might be surprised by their response.\n[00:43 - 00:48] Speaker A: I know you're trying to help, but it's hard to relax when it's something this important to me.\n[00:49 - 00:56] Speaker B: I understand, but you need to calm down. There's nothing you can do about it now. Just try to relax and let it go."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--391765.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I don't know if I can trust you.\n[00:02 - 00:02] Speaker B: Why not?\n[00:03 - 00:04] Speaker A: We just\n[00:04 - 00:07] Speaker B: Just because we just met doesn't mean that I'm not trustworthy.\n[00:11 - 00:15] Speaker A: I guess you're right. It's just hard to trust people these days.\n[00:16 - 00:25] Speaker B: I understand how you feel. But like I said, just because we just met doesn't mean I won't prove myself trustworthy over time by consistently showing up and keeping my promises.\n[00:26 - 00:31] Speaker A: Trust is earned, I get that. But what makes you so sure I should trust you?\n[00:31 - 00:33] Speaker B: You can trust me, Waylon."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi! I'm Aaliyah. What's your name?\n[00:03 - 00:04] Speaker B: Hi, I'm Sarah.\n[00:05 - 00:08] Speaker A: It's nice to meet you, Sarah. What brings you here today?\n[00:08 - 00:13] Speaker B: I'm here to learn more about important issues and to have some\n[00:12 - 00:20] Speaker A: Sorry to jump in, but when you say 'important issues,' are there specific topics you're particularly interested in?\n[00:25 - 00:34] Speaker B: Definitely! I'm passionate about environmental sustainability and social justice. But I also mentioned I wanted to have some fun—what kind of activities does EventZ offer for that?\n[00:35 - 00:47] Speaker A: We have a variety of activities, like interactive workshops and social events. I created EventZ because I want to improve the world by bringing people together to discuss important issues and have fun.\n[00:48 - 00:52] Speaker B: That sounds amazing! I'm definitely interested in learning more about that.\n[00:52 - 00:59] Speaker A: Yeah, I think it's so important that we talk about these things and try to make a difference. It can be really fun too!\n[01:00 - 01:04] Speaker B: Absolutely. I'm really looking forward to hearing more about what you have to say."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--439119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Sarah, I was just thinking about how good I am with tools. Do you remember when we were working on that project together and I was able to fix that cabinet door in no\n[00:09 - 00:17] Speaker B: Oh, I do remember! But speaking of that, have you thought about taking on more complex projects? Maybe something beyond just fixing things?\n[00:21 - 00:41] Speaker A: Definitely! It's something that I really enjoy doing—working with my hands and being in control of the projects I'm working on. Plus, it's always satisfying to  see how everything comes together in the end, especially when it's something I've built from scratch and can proudly say that I created with my own two hands and skills.\n[00:41 - 00:48] Speaker B: And it must be so rewarding when you see the final product! Do you think you'll continue pursuing woodworking or other DIY projects in the future?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1055385.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: What are some ways I can grow my company and make more money?\n[00:03 - 00:21] Speaker B: Well, there are a few options. You could expand your product line or enter new markets. Alternatively, you could focus on increasing efficiency and reducing costs. Or, you could try to grow your revenue by increasing prices or finding new customers. Ultimately, it depends on what makes sense for your business and what you think will be\n[00:20 - 00:28] Speaker A: Sorry to jump in, but when you mentioned increasing prices, do you think that might risk losing some of our existing customers?\n[00:33 - 00:47] Speaker B: That's a valid concern. Raising prices could indeed lead to losing some price-sensitive customers, but it could also attract a more premium segment. However, I was going to say that it depends on what you think will be most profitable for your specific business.\n[00:47 - 00:54] Speaker A: Understood. And what about expanding into new markets? How do we assess if that's the right move?\n[00:54 - 01:08] Speaker B: Expanding into new markets could definitely be a lucrative option, but it requires careful market research to ensure there's demand for your product. You'd also need to consider the costs of entering a new market, such as marketing and distribution.\n[01:08 - 01:13] Speaker A: That makes sense. I suppose it's about balancing the potential risks and rewards."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--913166.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Coach, I'm getting better and better at running. I can now run a mile in under six minutes.\n[00:06 - 00:08] Speaker B: That's great, John! You're really\n[00:08 - 00:14] Speaker A: Actually, Coach, do you think I should start focusing on increasing my distance now that my speed is improving?\n[00:20 - 00:28] Speaker B: Absolutely, increasing your distance is a good idea, but remember to do it gradually. However, you mentioned your speed, and I was going to say that you're really progressing well.\n[00:29 - 00:38] Speaker A: Yeah, I feel excited because I'm seeing improvement. Every time I go out and practice, I can feel myself getting faster and stronger.\n[00:38 - 00:45] Speaker B: That's the key to success in any endeavor--seeing progress and being excited by it. You're on the right track, John. Keep up the good work!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--903704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I can't find my keys! I've looked everywhere.\n[00:03 - 00:04] Speaker B: Where did you last see them?\n[00:05 - 00:11] Speaker A: I had them in my hand when I came in the house. I put my purse down on the counter and now they're\n[00:10 - 00:16] Speaker B: Wait, did you check inside your purse? Sometimes we accidentally drop things in there without realizing.\n[00:20 - 00:28] Speaker A: Oh, I didn't think of that. Let me check... No, they're not in there. Let's retrace my steps. Where did I go after I came in?\n[00:29 - 00:34] Speaker B: Nowhere! I just came in and put my purse down. Then I started looking for my keys and they were gone.\n[00:34 - 00:39] Speaker A: Hmm, well maybe you left them outside. Did you lock the door when you came in?\n[00:39 - 00:48] Speaker B: Yes, I always lock the door. But maybe I didn't have them with me when I locked it. Oh no, what if I lost them somewhere between my car and the front door? I might have dropped them without noticing.\n[00:49 - 00:59] Speaker A: Between your car and the house? That's possible. Okay, don't panic. We'll find them. Let's start by checking outside to see if they're around your car or near the house anywhere.\n[01:00 - 01:03] Speaker B: Okay, good idea. I'll check around my car and you can look near the house.\n[01:04 - 01:05] Speaker A: Sounds like a plan."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--778927.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I can't believe you're doing this to me! I thought I was doing a good job.\n[00:04 - 00:10] Speaker B: I'm sorry, Shyan, but we're going to have to let you go. We're downsizing and your position is being\n[00:10 - 00:16] Speaker A: How am I supposed to find another job in this economy? I have bills to pay and a family to support!\n[00:21 - 00:30] Speaker B: I'm really sorry, Shyan. There's nothing I can do. You're welcome to apply for other positions within the company, but I don't know if there will be anything available that matches your skills right away.\n[00:31 - 00:35] Speaker A: This is so unfair! I can't believe you're doing this to me!\n[00:35 - 00:42] Speaker B: I understand how you feel, but it's nothing personal. We just have to make some cutbacks, and unfortunately, your position is one that we can't keep.\n[00:43 - 00:49] Speaker A: Well, what about all the other people who are being let go? Are they just going to be out on the street too?\n[00:49 - 00:59] Speaker B: I'm sorry, Shyan. I can't discuss specifics about other employees. But I can tell you that we're trying to help everyone who is affected by this downsizing find new employment.\n[00:59 - 01:02] Speaker A: That's not good enough! You've ruined my life!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--895260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, Mom and Dad. I just wanted to let you know that I got a 98 on my math test today.\n[00:06 - 00:10] Speaker B: Wow! That's amazing, Athanasios! We're so\n[00:09 - 00:14] Speaker A: Thanks! I studied really hard for it and I'm just glad that it paid off.\n[00:19 - 00:25] Speaker B: proud of you! But how did you manage to prepare so well? Was there a particular strategy you used this time?\n[00:25 - 00:33] Speaker A: I focused more on practice problems and reviewed the concepts every night. I know that getting good grades is important for my future success.\n[00:34 - 00:40] Speaker B: We're glad that you understand that. We just want what's best for your future, and we're here to support you in any way we can.\n[00:40 - 00:48] Speaker A: I know. And I appreciate all that you've done for me. I promise to keep working hard in school so that I can make you proud.\n[00:49 - 00:56] Speaker B: you, and it's clear that your hard work is paying off. We already are proud of you, Athanasios. We love you no matter what."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--299895.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm sorry, I know you're disappointed.\n[00:02 - 00:05] Speaker B: It's okay, I\n[00:04 - 00:07] Speaker A: No, it's not okay! I wanted to win so badly.\n[00:13 - 00:13] Speaker B: Why?\n[00:14 - 00:24] Speaker A: Because I don't like losing, and I know how much you wanted to win  and I didn't want to let you down after all the support and encouragement you've given me throughout this entire process.\n[00:24 - 00:32] Speaker B: I did, but honestly, what bothers me more is how much pressure we put on ourselves. Do you think we might be taking this too seriously?\n[00:32 - 00:39] Speaker A: Maybe, but it's hard not to when you're passionate about something. And I guess I just wanted us to have that moment together."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--271652.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Imanol, I'm so excited for this concert!\n[00:03 - 00:06] Speaker B: Me too, I can't believe we're finally going to see them\n[00:05 - 00:09] Speaker A: Right? It's been way too long since we've seen them last.\n[00:14 - 00:18] Speaker B: I know! And I really hope they play our favorite song. Do you think they'll start with it?\n[00:18 - 00:25] Speaker A: Maybe, but even if they don't, we've waited so long for this moment. It's going to be amazing either way.\n[00:26 - 00:29] Speaker B: And it's finally here! I can't wait to sing along to all of our favorite songs.\n[00:30 - 00:38] Speaker A: Me too! I really hope we get to hear them play our favorite song. But honestly, just being there after all this time will be incredible."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--743500.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I can't believe I missed my exam. I studied so hard and was really looking forward to taking the test.\n[00:06 - 00:08] Speaker B: Alida, I'm so sorry. What happened?\n[00:09 - 00:19] Speaker A: I don't know. I woke up this morning and realized that I had forgotten to set my alarm. By the time I realized it, it was too late to make it to the\n[00:17 - 00:22] Speaker B: Oh no, did you try contacting your professor immediately to explain the situation?\n[00:27 - 00:34] Speaker A: I did, but the professor said that he wasn't giving any make-ups because the class is already behind schedule.\n[00:34 - 00:47] Speaker B: That doesn't seem fair. Maybe you could talk to him and explain what  an important opportunity this was for you and how much effort you put into preparing, including all those late nights studying and the sacrifices you made to be ready for this exam.\n[00:48 - 00:57] Speaker A: I tried, but he was quite firm about it. I'm just so upset right now. I worked so hard for this and I was really looking forward to taking the test.\n[00:57 - 00:59] Speaker B: It's okay, Alida. Things will work out."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1041859.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Triton, I had no idea. I'm so sorry that happened to you.\n[00:04 - 00:07] Speaker B: It's not your fault. There's nothing you could have\n[00:07 - 00:10] Speaker A: I know, but I wish I could have been there for you.\n[00:15 - 00:17] Speaker B: It's in the past now. I've moved on.\n[00:17 - 00:25] Speaker A: But Triton, it must have been so hard for you to keep it all inside. Why didn't you tell me sooner? I could have helped you through it.\n[00:26 - 00:35] Speaker B: I just didn't want to relive it, you know? Talking about it only makes me remember how helpless I felt back then. I was a child, and there was nothing I could do to stop it from happening.\n[00:36 - 00:43] Speaker A: You're not helpless now, Triton. You're strong, and you can talk to me about anything. I'm here for you, no matter what."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1169363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, um, what happens now?\n[00:02 - 00:05] Speaker B: You're going to be charged with grand theft auto and taken to\n[00:05 - 00:08] Speaker A: What? I can't go to jail for this! I have a family!\n[00:13 - 00:15] Speaker B: I'm sorry, but that's the process.\n[00:15 - 00:22] Speaker A: But there has to be something else I can do! There must be another option, like community service or a plea deal.\n[00:23 - 00:30] Speaker B: Khadija, you've been read your Miranda rights and you're being charged with a crime. There's nothing else that can be done at this point.\n[00:30 - 00:31] Speaker A: But-\n[00:31 - 00:32] Speaker B: I'm sorry, Khadija."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--512974.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey dad, I was just thinking about the challenge you gave me.\n[00:04 - 00:05] Speaker B: What challenge is that, son?\n[00:05 - 00:12] Speaker A: You know, the one where you said I had to try and become the best soccer player in the world\n[00:11 - 00:17] Speaker B: Oh yeah, that challenge. How are you feeling about taking it on? Do you think you're ready for the commitment it requires?\n[00:23 - 00:30] Speaker A: Sorry to cut in, Dad, but I've been thinking—do you think I should focus more on my technique or my physical fitness first?\n[00:31 - 00:41] Speaker B: That's a good question. Both are important, but I'd say start with your technique. Once you have that down, you can build up your physical fitness to match. But I was going to ask how you're feeling about the challenge overall?\n[00:42 - 00:49] Speaker A: I'm excited to take it on. I know it won't be easy, but I'm ready to face the challenge head-on and give it my all.\n[00:49 - 00:57] Speaker B: That's great to hear, son. I have faith in you that you can accomplish anything you set your mind to. Just remember to never give up and always give 100% effort.\n[00:58 - 01:00] Speaker A: I will, dad. Thanks for believing in me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--12047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I don't know what came over me. I'm so embarrassed.\n[00:03 - 00:12] Speaker B: Sakina, it's okay. We all have moments where our emotions get the best of us. You don't need to be ashamed or feel exposed. Just take a deep breath and\n[00:11 - 00:16] Speaker A: I know, but I just feel so foolish right now. How do I even move past this?\n[00:22 - 00:31] Speaker B: Feeling foolish is natural, but it doesn't define you. The important thing is to learn from this experience and grow. Just take a deep breath and relax. Everything will be alright."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--64190.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Wow, these tombstones are really old.\n[00:03 - 00:05] Speaker B: Yeah, they're from the 1800s.\n[00:05 - 00:09] Speaker A: Wow, I wonder what life was like back\n[00:08 - 00:13] Speaker B: You know, I was just thinking—how did they even manage without all the technology we rely on today?\n[00:18 - 00:28] Speaker A: Well, it was a lot different than it is now. For one thing, there wasn't as much technology back then. People had to do things by hand instead of using machines.\n[00:28 - 00:29] Speaker B: That must have been really hard!\n[00:30 - 00:55] Speaker A: Yeah, it was definitely more difficult in some ways. But in other ways, it was simpler too. People didn't have all the distractions that we have now with technology and social media and everything else. They probably had more time to enjoy life and  focus on the things that really mattered to them, like family and close-knit communities, which might have led to deeper personal connections and a stronger sense of belonging.\n[00:55 - 01:02] Speaker B: Speaking of enjoying life, do you think they had more meaningful relationships without all the digital communication we have today?\n[01:02 - 01:20] Speaker A: They might have. Without the constant buzz of notifications, they probably focused more on face-to-face interactions and community. But I was also going to say they likely appreciated nature more as well, spending time outdoors in ways we might not prioritize today."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--580598.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey. How are you doing today?\n[00:02 - 00:05] Speaker B: I'm doing all right, thanks for asking. How about you?\n[00:05 - 00:09] Speaker A: I'm hanging in there. It's been a tough week, but I'm\n[00:09 - 00:14] Speaker B: Is it work-related? You don't have to go into detail if you don't want to, but I'm here if you need to talk.\n[00:19 - 00:22] Speaker A: Yeah, it's work stuff. You know how it is.\n[00:23 - 00:30] Speaker B: Yeah, I know how it is. Work can be really stressful sometimes. But you seem like you're handling it well. You're strong, Jakeem.\n[00:31 - 00:39] Speaker A: Thanks. I appreciate that. I try to be strong, but sometimes it just feels overwhelming, and it's hard to keep everything together.\n[00:40 - 00:44] Speaker B: Sorry, but have you taken any time for yourself? Even just a little break might help.\n[00:45 - 00:50] Speaker A: I haven't really had the chance, but you're right. I should probably make that a priority."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--221517.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Good morning! It's a beautiful day, isn't it?\n[00:03 - 00:05] Speaker B: Yes, it is. I can't believe how warm it is\n[00:04 - 00:11] Speaker A: Speaking of the warmth, do you think it might get too hot later? We might want to bring some water with us if we go for that walk.\n[00:16 - 00:21] Speaker B: That's a good point. I was just thinking that this might be the perfect day to go for a walk in the park.\n[00:21 - 00:28] Speaker A: That sounds like a great idea! I'm sure the flowers will be in bloom and the birds will be singing their hearts out.\n[00:28 - 00:33] Speaker B: Oh, and maybe we can stop by that little café on the way? I heard they have some new pastries.\n[00:34 - 00:39] Speaker A: That sounds lovely! And we can get some fresh air and exercise at the same time.\n[00:39 - 00:41] Speaker B: Sounds perfect to me. Let's go!\n[00:42 - 00:44] Speaker A: It's so nice to see kids enjoying themselves.\n[00:45 - 00:49] Speaker B: Yes, it is. It brings back memories of when we were young and carefree.\n[00:49 - 00:58] Speaker A: I know. Sometimes I wish I could go back to those days. But then I remember all the responsibilities I have now and I'm glad I'm an adult.\n[00:59 - 01:04] Speaker B: Me too. Being an adult comes with its own set of challenges, but it also has its rewards."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--324306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey Chace, I got your address from the school office. I hope that's okay.\n[00:05 - 00:07] Speaker B: Yeah, no problem. What's up?\n[00:08 - 00:11] Speaker A: Well, I just wanted to find you and ask if you wanted to be friends.\n[00:12 - 00:14] Speaker B: Friends? Why would you want to be friends with me?\n[00:15 - 00:21] Speaker A: Because I think you're a cool guy and I don't have many friends at school. Plus, we have a lot in\n[00:20 - 00:24] Speaker B: Wait, what do you mean by \"a lot in common\"? Like what exactly?\n[00:29 - 00:38] Speaker A: Well, we're both in the same grade and we both like video games and sports. And we both think school is kind of boring sometimes. Am I right?\n[00:38 - 00:46] Speaker B: Yeah, I guess so. But why do you want to be friends with me all of a sudden? We've never even talked much before, so this is kind of unexpected.\n[00:47 - 00:58] Speaker A: I know it seems sudden, but I just have a good feeling about you, I guess. Plus, like I said, I don't have many friends at school and it would be nice to have someone to hang out with.\n[00:58 - 01:01] Speaker B: Okay, sure. Why not? I could use a friend too."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--706924.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, how was your day today?\n[00:02 - 00:07] Speaker B: It was pretty good. I got a lot done at work and then went out with some friends for a bit. How about you?\n[00:08 - 00:16] Speaker A: I had a pretty good day too. I went out to eat with some friends and then came here to meet you. So, what did you do today that was so\n[00:15 - 00:20] Speaker B: Oh, before I forget, did you manage to finish that report you were working on last week?\n[00:24 - 00:33] Speaker A: Yes, I finished it yesterday. But as I was saying, after work, I met up with some friends. We walked around the city for a bit and then got coffee.\n[00:34 - 00:37] Speaker B: That sounds like a pretty fun day. I wish I could have gone with you guys.\n[00:38 - 00:41] Speaker A: Yeah, it would have been fun if you were there. Maybe next time."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--12295.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, how are you doing today?\n[00:02 - 00:04] Speaker B: I'm doing well, thank you. How can I help you?\n[00:05 - 00:07] Speaker A: Well, I was called here to fix your boiler.\n[00:07 - 00:10] Speaker B: Oh, yes. Our heating's been\n[00:10 - 00:18] Speaker A: Acting up lately, right? No worries, I'll take a look at it right away. (He opens up the boiler and starts examining it.)\n[00:23 - 00:25] Speaker B: So what do you think is wrong with it?\n[00:25 - 00:32] Speaker A: It looks like the problem is a simple one. The part that's causing the issue is right here, and it's a bit worn out.\n[00:33 - 00:37] Speaker B: Oh, before you go on, do you have that part with you, or will you need to order it?\n[00:37 - 00:44] Speaker A: I actually have it with me, so I can replace it right now. Once I do that, your boiler should be good as new."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1174912.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how are you doing?\n[00:01 - 00:04] Speaker B: I'm doing alright, thanks for asking. How about you?\n[00:04 - 00:11] Speaker A: I'm doing well, thanks. I was just thinking about how fair and equal everyone should be\n[00:10 - 00:16] Speaker B: Oh, I totally agree! But do you think it's realistic to achieve that kind of fairness in today's society?\n[00:21 - 00:34] Speaker A: It's definitely challenging, but I think it's something we should all strive for. That's why I always make sure to treat everyone equally and fairly. I think it's important to give everyone the same opportunities and chances to succeed.\n[00:35 - 00:45] Speaker B: Absolutely! We all should be given the same opportunities in life, regardless of our social status or anything else. Viktoria, you're such a fair person and I really admire that about you!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1030451.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, what's been going on?\n[00:01 - 00:06] Speaker B: Oh, not much. Just the usual stuff. You know, work and school and all\n[00:05 - 00:11] Speaker A: Sorry, I just remembered something—didn't you mention a new project at work last time? How's that going?\n[00:16 - 00:25] Speaker B: Oh, right! The new project has been pretty demanding, which is why I've been feeling a bit stressed out lately because of all the deadlines we've been getting. But it's nothing I can't handle.\n[00:25 - 00:29] Speaker A: That sounds tough. I hope things start to ease up for you soon.\n[00:30 - 00:32] Speaker B: Thanks. I'm sure they will eventually.\n[00:32 - 00:34] Speaker A: So what's new with school?\n[00:34 - 00:41] Speaker B: Not much. We're just starting to get into the really heavy stuff now, so it's been a little overwhelming, but I'm trying to stay on top of it.\n[00:42 - 00:47] Speaker A: Speaking of heavy stuff, are you still planning to take that extra course this semester?\n[00:47 - 00:52] Speaker B: Yeah, I am. It's going to be a challenge with everything else going on, but I'm managing.\n[00:52 - 00:56] Speaker A: I remember those days. It can be tough to keep up with everything.\n[00:57 - 00:59] Speaker B: Tell me about it. But I'm hanging in there."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--4948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, Mak. I noticed your place was a little messy and I wanted to help you\n[00:05 - 00:10] Speaker B: Oh, thanks so much, Kelechi. I've been so busy with work and school lately that I haven't had time to clean up.\n[00:15 - 00:20] Speaker A: No problem, I understand. It's tough when you're constantly on the go.\n[00:20 - 00:22] Speaker B: Yeah, I appreciate it.\n[00:22 - 00:26] Speaker A: So, what have you been up to lately? How's work?\n[00:27 - 00:39] Speaker B: Work is good. I'm just really busy and stressed out  because I'm juggling multiple projects at once, and it's hard to keep track of everything especially when my manager keeps adding new tasks without adjusting the deadlines for existing ones.\n[00:40 - 00:45] Speaker A: Is it something specific that's stressing you out? Maybe I can help with that too.\n[00:46 - 00:53] Speaker B: Honestly, it's just a lot of deadlines piling up, but I think I've got it under control. Thanks for helping me with the cleaning, though.\n[00:53 - 00:57] Speaker A: Anytime, Mak. Let me know if you need anything."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1029082.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Wow, that was an amazing trick! How did you do it?\n[00:04 - 00:08] Speaker B: It's a secret. But I can tell you that it involves sleight of hand and\n[00:07 - 00:12] Speaker A: Wait, sleight of hand? Does that mean it's all about speed and dexterity?\n[00:17 - 00:25] Speaker B: Exactly, that's a big part of it. But misdirection is just as important. Can you guess how I made you focus on my left hand while the trick was happening in my right?\n[00:25 - 00:30] Speaker A: Misdirection? Like making people look somewhere else while you do the trick?\n[00:31 - 00:35] Speaker B: Yes, precisely. And if you practice, I think you'll be able to learn it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--991838.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: I don't know how to wash dishes! I've tried several times, but each time I make a mess. I feel like a failure and wonder why I can't do something so\n[00:08 - 00:20] Speaker B: Adaleigh, it's okay. I totally understand how frustrating it can be, but everyone has to learn how to wash dishes at some point in their life. It's not as easy as it looks, but with a little practice, you'll get the hang of it.\n[00:25 - 00:37] Speaker A: Why does everyone else seem to know how to do this but me? Am I just  really bad at these kinds of tasks, or is there something fundamentally different about the way I approach household chores compared to other people?\n[00:37 - 00:47] Speaker B: Of course not! You're not stupid, you're just learning. Everybody starts out feeling like this when they're first learning how to do something new. Just keep trying and you'll get there eventually.\n[00:47 - 00:51] Speaker A: I don't know...I feel like I'm never going to get it.\n[00:51 - 01:02] Speaker B: Adaleigh, remember when you were first learning how to ride a bike? It took you a few tries, but eventually you figured it out. This is just like that. Just keep practicing and you'll get it. I know you can do it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1128813.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Sarah, I got a letter in the mail today. It was addressed to me, but it had your name on it too.\n[00:06 - 00:07] Speaker B: What does it say?\n[00:08 - 00:22] Speaker A: It's from someone named Mark Johnson. He says he's a friend of ours from college. He says he's been trying to reach us for years, but he didn't have our current address. He finally tracked us down through our college alumni\n[00:21 - 00:27] Speaker B: Wait, Mark Johnson? I don't remember anyone by that name from college. Are you sure he's talking about us?\n[00:32 - 00:40] Speaker A: That's what I thought was strange too. I don't remember him either. But the letter says we were good friends. He even has some old photos of us together.\n[00:41 - 00:43] Speaker B: That is weird. What does he want?\n[00:43 - 00:59] Speaker A: He wants to get together with us. He says he's in town for a few days and he would like to meet up with  us for coffee or dinner to reminisce about old times and discuss some important business opportunities he thinks we might be interested in based on our shared history.\n[01:00 - 01:05] Speaker B: Do you think this could be some kind of scam? I mean, why would he suddenly want to meet after all these years?\n[01:05 - 01:14] Speaker A: It crossed my mind too. But the letter seems genuine. He says he just wants to catch up with old friends. Still, I'm not sure if we should respond."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--649458.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Thank you so much for donating to our benefit! We really appreciate your\n[00:04 - 00:08] Speaker B: Sorry to interrupt, but I was wondering, how exactly will the funds be used to help the children?\n[00:13 - 00:32] Speaker A: The funds will be allocated towards providing basic necessities like food, clothing, and educational materials. The children who will be helped by this benefit are really in need. I'm glad we were able to get your donation because it will directly impact the quality of life for these kids.\n[00:32 - 00:39] Speaker B: Yeah, it's heartbreaking to see kids go without basic necessities. I'm glad we could help out in some small way.\n[00:39 - 00:42] Speaker A: Every little bit helps. Thank you again.\n[00:42 - 00:43] Speaker B: You're welcome."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--237231.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I can't believe you're running for office. You're so inexperienced. I don't think you'll be able to effectively represent the people.\n[00:08 - 00:13] Speaker B: I understand your concerns, but I believe that I have the skills and the knowledge to do a great\n[00:12 - 00:18] Speaker A: But you've never even held an elected position before. How can we be sure that you'll be able to handle the pressure?\n[00:24 - 00:32] Speaker B: Pressure is something that I'm used to. I've been working in high-pressure environments for years. I know how to handle difficult situations and make decisions under stress.\n[00:33 - 00:39] Speaker A: That may be true, but this is different. This is politics. It's a whole different game.\n[00:39 - 00:46] Speaker B: Maybe so, but I'm confident that I can do it. And even if there are some bumps along the way, I'm willing to learn and grow from them.\n[00:47 - 00:50] Speaker A: I don't know...I just don't think you're ready for this.\n[00:50 - 01:01] Speaker B: Dimitri, I appreciate your concerns. But at the end of the day, it's up to the voters to decide whether or not they think I'm qualified. I believe that I am, and I hope that they'll see that as well."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--619961.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey Sade, how's it going?\n[00:02 - 00:04] Speaker B: Hey Marcia. It's going good. How are you?\n[00:05 - 00:15] Speaker A: I'm doing well. Thanks for asking. So, what do you think of the job so far? It seems like you're really settling in and getting comfortable with the\n[00:14 - 00:25] Speaker B: I like it. It's challenging and I'm learning new things all the time. Plus, it's great to work with you. You're always so positive and upbeat, which makes the work go by much smoother and enjoyable.\n[00:29 - 00:37] Speaker A: Sorry to cut in, but I just remembered something. Have you had a chance to look at the new project guidelines sent out yesterday?\n[00:37 - 00:44] Speaker B: Oh, I haven't checked them yet. I'll make sure to review them later today. But as I was saying, your attitude really helps in making the work go by quicker.\n[00:45 - 00:52] Speaker A: Yeah, I enjoy working with you too. You're a hard worker and always have a good attitude. I think we make a great team.\n[00:53 - 00:58] Speaker B: Absolutely! We always seem to be able to get the job done quickly and efficiently when we're working together.\n[00:59 - 01:05] Speaker A: Yeah, I definitely think so too. I think we have a good dynamic and are able to complement each other's strengths.\n[01:06 - 01:13] Speaker B: I agree. I think we make a great team and I'm really glad to be working with you. By the way, what were those new project guidelines about?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1107765.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Wow, I can't believe I found a four-leaf clover! This is so\n[00:04 - 00:06] Speaker B: Why do you say that? Is there a special reason?\n[00:11 - 00:21] Speaker A: Well, they're supposed to be really rare, so finding one is like winning the lottery or something. Plus, they're supposed to bring good luck. So I'm feeling pretty lucky right now.\n[00:22 - 00:32] Speaker B: That's interesting. I've never thought of it that  way before, but I can see why it would be exciting to discover something so uncommon that's been considered a symbol of fortune across different cultures for centuries.\n[00:32 - 00:34] Speaker A: Really? What do you think of it?\n[00:35 - 00:40] Speaker B: I guess I never really thought about it at all. I just figured that since I'm a clover, people must think that I'm lucky.\n[00:41 - 00:50] Speaker A: That makes sense. But now that you mention it, there are a lot of other things that people believe are lucky too, like rabbits' feet and horseshoes.\n[00:50 - 00:55] Speaker B: Yes, I've heard of those things too. People seem to think that anything with four leaves is lucky.\n[00:56 - 01:00] Speaker A: Yeah, maybe because four is considered a lucky number in some cultures.\n[01:01 - 01:05] Speaker B: That's true. But whatever the reason, I'm glad you think I'm lucky!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--73764.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So tell me, what's it like living by the ocean?\n[00:03 - 00:18] Speaker B: It's amazing! I love it here. The weather is almost always perfect and there's just something about the sound of the waves that makes me feel so relaxed. Plus, there are so many fun things to do here. We can go fishing, swimming, surfing, kayaking...the list goes\n[00:17 - 00:25] Speaker A: Sorry to jump in, but I just got so excited hearing about all those activities. Do you think I could borrow a bathing suit from you?\n[00:31 - 00:35] Speaker B: Of course! I have a few that would probably fit you. Let me go grab one for you.\n[00:35 - 00:42] Speaker A: Thanks, I really appreciate it. By the way, you were saying there are many fun things to do here. What else do you recommend?\n[00:43 - 00:54] Speaker B: No problem, I'm just glad you're here. I know we're going to have a lot of fun this week. Also, besides the water activities, there are great hiking trails and local seafood restaurants you should definitely try."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--943593.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hi, Destanee. I'm Alycia. I noticed you're new here and thought I'd say hi.\n[00:06 - 00:13] Speaker B: Hey, Alycia. Yeah, I just moved here a couple weeks ago. It's been kind of tough getting used to a new school, but it's been okay so far.\n[00:13 - 00:24] Speaker A: I know how you feel. I've had to switch schools a few times myself. It can be really tough at first, but you'll get used to it eventually. So, what do you like to\n[00:23 - 00:31] Speaker B: Sorry, before I answer that, can I ask if there are any clubs or activities here that you'd recommend? I'm trying to find ways to meet new people.\n[00:36 - 00:47] Speaker A: Oh, definitely! There's a really active book club here that I think you'd enjoy, especially since you mentioned you like to read. But I was going to ask what genres you're into?\n[00:47 - 00:55] Speaker B: I like to read and write. I'm really into fantasy and science fiction, so I like to read a lot of books in those genres. And I like to write stories too.\n[00:56 - 01:04] Speaker A: That sounds great! I love to read and write too. In fact, I write stories all the time. Maybe we could exchange some of our work sometime?\n[01:05 - 01:06] Speaker B: Yeah, that would be cool!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--974933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Mom, I'm so mad at Mia! She ate my homework and now I'm going to have to get a new\n[00:06 - 00:11] Speaker B: Wait, why would you need a new dog just because Mia ate your homework? That doesn't make sense.\n[00:16 - 00:24] Speaker A: I'm mad because she ate my homework and now I have to redo everything. I was just so frustrated that I said I need a new dog.\n[00:25 - 00:29] Speaker B: That's understandable, but remember, Mia's just a dog. She didn't know any better.\n[00:30 - 00:33] Speaker A: But if she didn't eat my homework, I wouldn't be in this mess.\n[00:34 - 00:40] Speaker B: I get it, but being mad at Mia won't change what happened. Maybe we can find a way to keep your homework safe from now on."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--385442.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Excuse me, ma'am. I was wondering if you could help me. I'm looking for a job, and I found a lead at a company called XYZ Corporation. I wanted to look it up in the business section, but I'm not sure where to\n[00:13 - 00:17] Speaker B: Oh, no problem at all! Just tell me the name of the company, and I'll help you find it.\n[00:22 - 00:24] Speaker A: XYZ Corporation.\n[00:24 - 00:43] Speaker B: Okay, let's see...here it is. XYZ Corporation is expanding and they're looking for new employees. It looks like they're based in New York  and have multiple offices across the state, which might give you some options depending on where you want to work. They specialize in financial services and have been growing steadily over the past five years according to these business reports.\n[00:44 - 00:50] Speaker A: New York City? That's where I'm from! Do you have any information on how to apply for a job there?\n[00:51 - 01:01] Speaker B: Yes, we do. There's an application form right here, and it includes instructions on how to apply. There are also contact numbers for the human resources department if you have any questions.\n[01:01 - 01:04] Speaker A: Thank you so much! This is exactly what I needed."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--219689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: It's so nice out today.\n[00:02 - 00:06] Speaker B: I know, right? It's like nature is finally starting to show us some mercy.\n[00:06 - 00:14] Speaker A: Yeah, I was just thinking the same thing. The sun is shining and the birds are singing… it feels like a weight has been\n[00:13 - 00:19] Speaker B: Sorry to cut in, but do you think this good weather will last? I've been planning a weekend trip.\n[00:24 - 00:29] Speaker A: I'm not sure, but I hope so. I was saying it feels like a weight has been lifted off my shoulders.\n[00:30 - 00:33] Speaker B: Isn't it great? I feel like I can finally breathe again.\n[00:33 - 00:38] Speaker A: Yeah, me too. I'm just grateful to be here and have this moment of peace.\n[00:38 - 00:42] Speaker B: I know what you mean. It's like the world is finally starting to make sense again.\n[00:43 - 00:48] Speaker A: Speaking of making sense, do you think this peaceful feeling will help us focus better at work?\n[00:49 - 00:53] Speaker B: Yeah, it might. But I was going to say it's like the world is finally starting to make sense again.\n[00:54 - 00:59] Speaker A: Yeah. I feel like I belong here. Like this is where I'm supposed to be.\n[01:00 - 01:05] Speaker B: I know how you feel. This place has a way of making you feel at home, even when you're not from here.\n[01:05 - 01:10] Speaker A: Yeah, that's exactly it. I'm not from here, but this feels like home.\n[01:11 - 01:16] Speaker B: Well, we all need a place to belong. And sometimes, it takes finding the right place before we can truly feel at home."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1028263.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi Jaeden. How are you doing today?\n[00:03 - 00:07] Speaker B: I'm doing fine, thank you. Just a little overwhelmed with everything that's\n[00:06 - 00:09] Speaker A: Overwhelmed? Is it schoolwork or something else?\n[00:14 - 00:20] Speaker B: Well, I've got a lot of homework and a project due soon. I'm just not sure how I'm going to get everything done.\n[00:20 - 00:22] Speaker A: Do you want me to help you with anything?\n[00:23 - 00:28] Speaker B: That would be great! Thank you so much! Let me get my stuff and we can start working on it together.\n[00:28 - 00:35] Speaker A: Jaeden, where do you want to begin? I was thinking we could tackle the most difficult task first.\n[00:35 - 00:39] Speaker B: Actually, before we dive in, I'm really struggling with my math homework. Could we start there?\n[00:40 - 00:42] Speaker A: Sure, let's take a look at it then."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--19531.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: This movie is so ridiculous. The characters are making all the wrong decisions.\n[00:05 - 00:09] Speaker B: What do you mean? What are they doing that's so wrong? I didn't catch anything too out of the ordinary.\n[00:10 - 00:27] Speaker A: Well, for starters, the guy is completely oblivious to the fact that the girl is interested in him. He's missing all the signs. And even when she finally tells him outright that she likes him, he still doesn't get it. I mean, come on! Any normal guy would have picked up on that from a mile away.\n[00:28 - 00:38] Speaker B: I see what you mean. But maybe he's just shy or unsure of himself. That can happen in real life too, especially if he's had bad experiences in the past or is afraid of rejection.\n[00:38 - 00:53] Speaker A: True, but then there's the way they're always bickering and fighting with each other. It's like they're not even trying to get along half the time. No wonder they keep breaking up and getting back together again. It's just\n[00:52 - 00:58] Speaker B: Well, I guess we all have our different opinions on what's realistic in a romantic comedy. But I still think it's a cute movie.\n[01:03 - 01:09] Speaker A: Yeah, it's not bad. I just wish they would have made the characters a little more believable."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--137471.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: We just need to ask you a few questions, Farrah. You're not under arrest or anything, we just want to get some information from you.\n[00:08 - 00:11] Speaker B: I don't know what you want me to tell you. I didn't do anything wrong.\n[00:11 - 00:24] Speaker A: Can you just answer the questions please? We'll try to make this as quick and painless as possible. Just tell us what happened that night. You were at the party, right? What did you see? Who did you\n[00:23 - 00:28] Speaker B: I didn't really see anything. I was just talking to people and then I left. That's all I remember.\n[00:33 - 00:37] Speaker A: Farrah, please. This is important. We need your help.\n[00:37 - 00:41] Speaker B: I don't know what you want me to say! I didn't see anything, I swear!\n[00:41 - 00:56] Speaker A: Fine. If you're not going to cooperate, we'll have to take you down to the station and hold you for questioning. Maybe that will jog your  memory about specific details from that night including who you interacted with and what time certain events might have occurred.\n[00:57 - 01:01] Speaker B: No, no, I'll talk! I'll tell you what happened! Just don't take me to the station, please!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1004891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Mary, I need to talk to you about something. It's been bothering me for a while and I really need to get it off my\n[00:07 - 00:11] Speaker B: Of course, dear. What is it? You know you can tell me anything.\n[00:16 - 00:29] Speaker A: It's just that... I made a mistake. A big mistake. And it's been eating away at me ever since. I'm not sure how to make things right, but I need to figure out a way to fix it before it's too late.\n[00:29 - 00:34] Speaker B: Wait, a mistake? What kind of mistake? Is it something that can be fixed?\n[00:34 - 00:44] Speaker A: I was working on a case and I was so sure that I had the right suspect. But I was wrong. My mistake led to an innocent man being convicted and sentenced to death.\n[00:45 - 00:48] Speaker B: Emerald, you can't blame yourself for that. You did everything you could.\n[00:49 - 00:53] Speaker A: But it wasn't enough. And now the man is going to be executed because of me.\n[00:54 - 00:55] Speaker B: What can we do?\n[00:55 - 01:03] Speaker A: I'm not sure. But I have to try to do something. Even if it's just finding a way to live with this burden for the rest of my life."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--142004.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Tiffani, I have been thinking long and hard about this, and I think it's time.\n[00:05 - 00:06] Speaker B: What's time?\n[00:06 - 00:08] Speaker A: It's time for us to get married.\n[00:09 - 00:10] Speaker B: You want to get married?\n[00:10 - 00:15] Speaker A: Yes, Tiffani. I love you and I want to spend the rest of my life with you.\n[00:15 - 00:19] Speaker B: But what about our careers? We've only been\n[00:17 - 00:24] Speaker A: I know it seems sudden, but when you know, you know. And I know that I want to spend the rest of my life with you.\n[00:29 - 00:30] Speaker B: Are you sure about this?\n[00:30 - 00:35] Speaker A: Yes, absolutely positive. So what do you say? Will you marry me?\n[00:36 - 00:40] Speaker B: Wow! This is unexpected but yes, Enrico I will marry you!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--385591.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, Mrs. Johnson. How are you today?\n[00:03 - 00:05] Speaker B: I'm doing well, thank you. How are you?\n[00:05 - 00:17] Speaker A: I'm doing okay. I was just wondering if you needed any help with anything around the house? I noticed that your gutters could use some cleaning and I know that can be a tough job for someone your\n[00:16 - 00:24] Speaker B: Oh, Kynlee, thank you for noticing! Actually, there's also a small leak in the roof that I've been worried about. Do you think you could take a look at that too?\n[00:28 - 00:33] Speaker A: Of course, I can check the leak as well. I'll go get my ladder and be right back.\n[00:34 - 00:37] Speaker B: Thank you so much, Kynlee! You're such a kind person."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--604536.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: This is the life. Just you, me, and nature.\n[00:03 - 00:12] Speaker B: Yeah, it's so peaceful out here. I can't believe we live in a world where we're constantly bombarded with noise and activity. It's nice to just get away from it all for a while.\n[00:12 - 00:23] Speaker A: I know what you mean. It's like everything just fades away when I'm out here. All my worries and stress disappear. It's like being in nature resets my mind and helps me\n[00:22 - 00:30] Speaker B: Sorry to jump in, but I totally get that feeling. Do you think there's a specific place that works best for you, or is it just being in nature in general?\n[00:35 - 00:47] Speaker A: It's mostly just being in nature in general, though certain places do have a special vibe. I haven't mentioned yet how hiking specifically can help me feel more connected to the environment and improve my fitness.\n[00:48 - 00:56] Speaker B: Hiking sounds great. But I'm curious, do you think it's something that can be easily picked up by someone who's never really been into outdoor activities before?\n[00:57 - 01:07] Speaker A: Definitely! I think nature has a way of speaking to us and helping us connect with our inner selves. Hiking is a great way to clear your head and just enjoy the moment."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1123691.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: I swear to you, Jonelle, that I will always be loyal to you. I promise that I will never betray you and that I will always be there\n[00:07 - 00:08] Speaker B: What makes you say that?\n[00:13 - 00:19] Speaker A: Because I love you. You're the most important person in my life, and I would never do anything to hurt you.\n[00:20 - 00:24] Speaker B: But what if something happened? What if you had to choose between me and your career or family?\n[00:25 - 00:34] Speaker A: Jonelle, there would be no choice. I would always choose you. No matter what the circumstances were, I would never betray your trust or hurt you in any way.\n[00:35 - 00:41] Speaker B: I believe you. I know that you would never intentionally hurt me. But sometimes, even the best of intentions can go wrong.\n[00:41 - 00:50] Speaker A: I understand that. And if anything ever did happen, I would never blame you for it. I would always try to find a way to forgive you and make things right again.\n[00:51 - 00:53] Speaker B: Thank you, Kevonte. That means a lot to me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1168213.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Don't worry, I fixed it. The pedal just came off and the chain was tangled, but I got it all\n[00:06 - 00:10] Speaker B: Thank goodness! I was starting to get a little worried. How did you manage to fix it so quickly?\n[00:15 - 00:26] Speaker A: It wasn't too complicated. I just had to stay calm and think about what needed to be done. I'm not going to let a little thing like that stop me from finishing this race.\n[00:26 - 00:31] Speaker B: You're really something, Alexavier. I don't know anyone else who could have handled that without panicking.\n[00:32 - 00:37] Speaker A: It's no big deal, really. Anyone could have done it if they just kept calm and focused.\n[00:38 - 00:41] Speaker B: Well, I'm glad you were the one who did it. You're amazing!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1073790.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey guys, what's up?\n[00:01 - 00:04] Speaker B: Hey! We were just talking about the latest gossip.\n[00:05 - 00:06] Speaker A: Oh, what happened?\n[00:06 - 00:10] Speaker B: Well, it turns out that Sarah was cheating on her boyfriend with his best\n[00:09 - 00:15] Speaker A: Wait, are you serious? With his best friend? That's just... How did people even find out?\n[00:21 - 00:30] Speaker B: Yeah, it's true. Apparently, someone saw them together and word got around quickly. And now, Sarah is a total outcast. Everyone is talking about her behind her back.\n[00:30 - 00:34] Speaker A: Wow, that's really sad. I feel bad for her.\n[00:35 - 00:36] Speaker B: Yeah, it's pretty messed up."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--874990.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's your name?\n[00:01 - 00:04] Speaker B: My name is Steve. Nice to meet you.\n[00:04 - 00:08] Speaker A: Likewise. I'm Dawayne. What brings you here today?\n[00:08 - 00:12] Speaker B: I'm just passing through. Saw your sign and thought I'd pop in to see what it's all about.\n[00:13 - 00:18] Speaker A: Sorry to jump in, but which sign caught your eye? We have a few different ones outside.\n[00:18 - 00:21] Speaker B: The one about the community events. It seemed interesting.\n[00:22 - 00:25] Speaker A: We're glad you did. What do you think of the place?\n[00:25 - 00:29] Speaker B: It's interesting. A bit different than what I'm used to, but it's nice.\n[00:30 - 00:39] Speaker A: Yeah, we get a lot of that. People come in and they're not quite sure what to make of it, but then they leave and they're really happy that they\n[00:38 - 00:41] Speaker B: Actually, I was wondering, what kind of events do you usually host here?\n[00:46 - 00:55] Speaker A: Oh, we have a variety of events, from art exhibitions to community workshops. I was saying they're really happy that they came. So, what do you do?\n[00:56 - 00:56] Speaker B: I'm a doctor."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--191104.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Hey Khali, I picked up your favorite frozen pizza on the way home from work. It's in the oven cooking now, so it'll be ready\n[00:07 - 00:12] Speaker B: Oh, wow! Thanks Maleena, you're the best! I can't wait to dig in. Did you get the one with extra cheese?\n[00:18 - 00:24] Speaker A: Yeah, no problem. I know how much you love pizza, so I made sure to grab the extra cheesy one.\n[00:24 - 00:31] Speaker B: Seriously, thank you so much. This means a lot to me. I was actually thinking about grabbing something on the way, but now I'm glad I didn't.\n[00:32 - 00:37] Speaker A: Don't mention it. I just wanted to do something nice for you since you've been working so hard lately.\n[00:38 - 00:46] Speaker B: Well, I appreciate it more than you know. I'm going to go take a quick shower and then I'll be right out to enjoy the pizza with you. I really need to unwind after today.\n[00:47 - 00:51] Speaker A: Oh, no rush! The pizza still needs a few more minutes anyway.\n[00:51 - 00:54] Speaker B: Perfect, that gives me just enough time. See you soon!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--328835.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Father, I know you're set in your ways and you don't like change, but things are different now. You can't just keep living in the\n[00:07 - 00:12] Speaker B: I'm not living in the past, I'm living in the present. But tell me, what exactly are you so worried about?\n[00:17 - 00:27] Speaker A: I'm worried that if we don't adapt, we'll be left behind. The world is moving forward, and if we stay stuck in our old ways, we might miss out on important opportunities.\n[00:28 - 00:38] Speaker B: I understand your concern, but why does everything have to change just because the world does? We've always done things a certain way, and it's worked fine up until now. Why fix something that isn't broken?\n[00:39 - 00:46] Speaker A: Because things are different now, and we need to adapt. If we don't, we might find ourselves struggling to keep up with the changes around us.\n[00:47 - 00:51] Speaker B: I get that, but what exactly do you think will happen if we don't change?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--142496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I'm sorry man, I know I fucked up. I shouldn't have lied to you about the robbery, but I was just trying to\n[00:06 - 00:13] Speaker B: Protect yourself? That's what you always say. But why should I believe you? You've lied to me in the past and now I can't trust you anymore.\n[00:18 - 00:34] Speaker A: Look, I know I've fucked up in the past, but this time I'm telling the truth. The surveillance footage doesn't show  the whole story because the camera angle was blocked during the most crucial moments, and I need you to hear me out before jumping to conclusions about what actually went down that night.\n[00:35 - 00:39] Speaker B: What really happened? Lora, you're a liar and a thief. I can't trust anything you say."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1186623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I need the money to start my own business. I need the money to pay off my gambling\n[00:05 - 00:10] Speaker B: Wait, you're saying you have gambling debts? That's a serious issue. Have you thought about seeking help for that?\n[00:16 - 00:22] Speaker A: I know, it's something I need to deal with. But right now, I really need to get my business off the ground too.\n[00:22 - 00:26] Speaker B: Well, I certainly can't give you all the money you need, but I can give you a loan to help out.\n[00:27 - 00:31] Speaker A: Thank you, Raj. I appreciate your willingness to help me out during this tough time.\n[00:32 - 00:37] Speaker B: Just make sure to prioritize paying off those debts first. It's important to get that under control.\n[00:38 - 00:43] Speaker A: I understand. I won't spend it all in one place, I promise."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--526278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey Lily, it's great to see you! I've missed hanging out with you.\n[00:04 - 00:07] Speaker B: I've missed you too, Carmyn. It's been way too long. How have you been?\n[00:08 - 00:14] Speaker A: I've been good. Just been really busy with work and other things. But I'm glad to\n[00:13 - 00:18] Speaker B: Sorry to interrupt, but what kind of work have you been busy with? Anything exciting?\n[00:23 - 00:32] Speaker A: Mostly just the usual stuff, but we did start a new project that's pretty interesting. Anyway, I'm glad to have some time to spend with you today.\n[00:33 - 00:37] Speaker B: Me too. So what do you want to do? I don't want to just sit around all day.\n[00:37 - 00:49] Speaker A: Well, we could go for a walk outside. It's really cold but it would be  refreshing and we could catch up more while enjoying the winter scenery and maybe even stop for some hot chocolate along the way.\n[00:49 - 00:54] Speaker B: Oh, speaking of cold, did you hear about the weather warning for today? We should be careful.\n[00:55 - 01:01] Speaker A: Yeah, I heard about it. But I think it would still be fun. Let me just grab my coat and gloves.\n[01:01 - 01:03] Speaker B: Wow, it's really coming down out here!\n[01:04 - 01:07] Speaker A: Yeah, it's pretty intense. But it's so beautiful.\n[01:07 - 01:11] Speaker B: Definitely. I love the snow. It's one of my favorite things about winter.\n[01:12 - 01:17] Speaker A: I know! It's so magical. Every time it snows, I feel like a kid again."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--946489.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how are you doing?\n[00:01 - 00:03] Speaker B: I'm doing alright. How about you?\n[00:04 - 00:09] Speaker A: I'm good. Just trying to stay present and in the moment as much as possible.\n[00:09 - 00:15] Speaker B: That's great! I think more people should do that. It can be really helpful in reducing stress and\n[00:14 - 00:21] Speaker A: Sorry to interrupt, but I wanted to ask, do you have any specific techniques you use to stay present?\n[00:26 - 00:38] Speaker B: Yeah, I find it makes me feel more calm and at peace with myself. And it also helps me be more productive since I'm not constantly worrying about things that might happen in the future or dwelling on things that have already happened.\n[00:38 - 00:47] Speaker A: That makes sense. It's like if you're always living in the past or the future, you're not really living in the present, which is all that really matters.\n[00:48 - 00:56] Speaker B: Exactly. I'm just trying to be more mindful of my thoughts and feelings and really savor the moments that I'm in, whether it's something good or just an ordinary day.\n[00:56 - 01:05] Speaker A: I totally agree, but I'm curious, how do you handle it when something bad happens? Do you have any strategies for staying present during tough times?\n[01:05 - 01:10] Speaker B: That sounds like a really healthy way to approach life. I think more people should try it!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--193891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, I'm here to test drive the car that I saw online.\n[00:04 - 00:06] Speaker B: Great! What model are you interested in?\n[00:07 - 00:11] Speaker A: The one that I was looking at was the new BMW M3.\n[00:11 - 00:17] Speaker B: That's a great choice! Let me grab the keys and we'll go over some of the features before heading out for the test drive.\n[00:17 - 00:24] Speaker A: Before we go, could you tell me a bit more about the car's features? I want to make sure it has everything I'm looking for.\n[00:25 - 00:33] Speaker B: Absolutely! The BMW M3 comes with a twin-turbo inline-six engine, adaptive suspension, and a premium interior with all the latest tech.\n[00:34 - 00:35] Speaker A: Sounds good to me.\n[00:36 - 00:39] Speaker B: This car is amazing! The acceleration is incredible!\n[00:39 - 00:46] Speaker A: Yeah, it's definitely a powerful car. But what do you think about the overall driving experience\n[00:45 - 00:52] Speaker B: Sorry to cut in, but I just noticed the steering wheel feels a bit stiff. Is that normal, or is it adjustable?\n[00:56 - 01:07] Speaker A: It's normal for the M3, but it does have adjustable settings to customize the steering feel to your preference. Now, as I was saying, what do you think about the handling overall?\n[01:07 - 01:12] Speaker B: It feels really good. It's responsive and precise. I love it!\n[01:12 - 01:15] Speaker A: Great! So you're interested in purchasing this car?\n[01:16 - 01:18] Speaker B: Yeah, I think I am. How much is it?\n[01:19 - 01:20] Speaker A: It's $60,000.\n[01:21 - 01:24] Speaker B: That's a lot of money. I'm not sure if I can afford that."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--873625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Sarah, I just love singing! It's one of my favorite things to do.\n[00:04 - 00:09] Speaker B: I can tell! You have an amazing voice. It fills up any room with joy.\n[00:09 - 00:20] Speaker A: Thanks, Sarah! I love singing songs from my favorite artist and bands, and sometimes making up my own lyrics to familiar tunes. My friends and family love when I serenade\n[00:19 - 00:25] Speaker B: Sorry to interrupt, Georgina, but I just got curious—do you ever perform at any local events or open mic nights?\n[00:30 - 00:42] Speaker A: I haven't done any local events yet, but it's something I would love to try. I was about to say that my friends and family love when I serenade them! Do you have any favorite songs to sing?\n[00:43 - 00:52] Speaker B: Oh, there are too many to name! But I really enjoy singing \"Don't Stop Believin'\" by Journey, \"I Will Always Love You\" by Whitney Houston, and \"Bohemian Rhapsody\" by Queen.\n[00:53 - 01:01] Speaker A: Those are all great songs! I'm sure your friends and family love hearing you sing them. Thanks for sharing your love of singing with me, Georgina!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--811940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, man. I haven't seen you in a while. How have you been?\n[00:03 - 00:06] Speaker B: It's been good. I've been keeping busy. You know how it\n[00:06 - 00:10] Speaker A: Oh, busy, huh? What's been keeping you so occupied lately?\n[00:14 - 00:19] Speaker B: Just the usual stuff. You know, work and hanging out with friends. Nothing too exciting.\n[00:19 - 00:26] Speaker A: That sounds like fun. I wish I could say the same for myself. Things have been pretty boring lately.\n[00:26 - 00:30] Speaker B: Really? What's going on with you? Anything specific that's been dragging you down?\n[00:30 - 00:42] Speaker A: Yeah, it's just been the same routine every day. I'm stuck in a rut, you know? I feel like I'm doing the same things every day and I'm just not really sure what to do with my life.\n[00:43 - 00:48] Speaker B: That sounds tough. I can't say that I know exactly what you're going through, but I understand how you feel.\n[00:49 - 00:57] Speaker A: Thanks. It's just been really hard lately. Trying to figure out what I want to do with my life and where I want to go from here.\n[00:57 - 01:01] Speaker B: Have you talked to anyone about it? A counselor or therapist or anything?\n[01:01 - 01:05] Speaker A: No, not yet. But maybe that's something I should look into.\n[01:06 - 01:13] Speaker B: Yeah, definitely. Sometimes it helps to talk to someone who can offer some unbiased perspective and help you figure out a game plan."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1097788.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, boss. Can I speak with you for a minute?\n[00:03 - 00:05] Speaker B: Sure, Tanis. What's up?\n[00:05 - 00:16] Speaker A: I was hoping to talk to you about a raise. I feel like I've been working hard and contributing a lot to the team, and I would really appreciate some extra financial\n[00:15 - 00:22] Speaker B: Sorry to cut in, Tanis. Before we dive into that, can you give me a quick overview of the specific contributions you're referring to?\n[00:27 - 00:45] Speaker A: Absolutely. For example, I've taken on several additional responsibilities, such as leading the new client onboarding process and optimizing our project management workflow. These efforts have resulted in a noticeable increase in efficiency and client satisfaction.\n[00:45 - 00:48] Speaker B: I see. Well, let me think about it and get back to you, okay?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1107341.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi! I'm sure I've seen you before, but I can't quite place where.\n[00:04 - 00:16] Speaker B: Yeah, I get that a lot. People usually recognize me from the bank. I work there part-time, so you might have seen me during one of your visits when I was helping customers with their transactions or answering questions about account services.\n[00:17 - 00:21] Speaker A: Oh, that's right! I saw you last week when I was getting cash out. How are you?\n[00:22 - 00:24] Speaker B: I'm good, thanks for asking. How about yourself?\n[00:25 - 00:28] Speaker A: Not too bad. Just doing some grocery shopping for the week.\n[00:28 - 00:37] Speaker B: That sounds like a good idea. It's always good to be prepared with food for the week, especially when life gets busy and you don't have time to make multiple trips to the store.\n[00:37 - 00:44] Speaker A: Speaking of groceries, do you have any recommendations for a quick dinner? I'm trying to mix things up this week.\n[00:45 - 00:52] Speaker B: Oh, definitely! You could try a stir-fry. It's quick, healthy, and you can use whatever veggies you have on hand"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--429431.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I don't know if I'm comfortable with this.\n[00:02 - 00:04] Speaker B: What? Why\n[00:03 - 00:08] Speaker A: Why not? I mean, I just feel like we're moving too fast.\n[00:13 - 00:23] Speaker B: We can go as slow as you want. I just thought you were  ready to take the next step in our relationship, but I see now that we need to have a more in-depth conversation about boundaries and expectations first.\n[00:23 - 00:27] Speaker A: I get that, but it's just a lot to take in all at once.\n[00:27 - 00:34] Speaker B: Yeah, I understand. But like I said, we can go as slow as you want. We don't have to do anything you're not comfortable with.\n[00:34 - 00:37] Speaker A: Okay. Thank you for understanding."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--523646.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, girl! You look amazing! What have you been\n[00:02 - 00:07] Speaker B: Sorry to cut you off, but I have to say, your energy is just radiating! What's your secret?\n[00:12 - 00:17] Speaker A: I've just been working out a lot and eating healthier. I'm down 20 pounds since last year!\n[00:18 - 00:26] Speaker B: That's incredible! I can definitely tell. You look  so much more confident and vibrant, like you're glowing from the inside out with all this positive change.\n[00:26 - 00:30] Speaker A: Oh, and I feel great too. I have so much more energy now.\n[00:31 - 00:35] Speaker B: I can imagine. I'm actually thinking about starting to work out more and eat better myself.\n[00:35 - 00:39] Speaker A: That's a great idea! I can help you if you want.\n[00:39 - 00:42] Speaker B: That would be awesome! Thanks, Sarah."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--514230.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, what's the verdict?\n[00:01 - 00:14] Speaker B: Well, overall, your health is good. Your blood work looks great and your physical exam was normal. However, we did find something abnormal on your mammogram. There's a mass in your left breast that we're going to need to\n[00:13 - 00:14] Speaker A: What does that mean?\n[00:19 - 00:23] Speaker B: It could be benign or it could be cancerous. We'll need to do a biopsy to know for sure.\n[00:24 - 00:32] Speaker A: Before we discuss the next step, I just want to express how anxious I am about this. How soon can we get the biopsy done?\n[00:32 - 00:43] Speaker B: We'll schedule you for a biopsy as soon as possible. After we get the results back, we'll know more about what treatment options are available and develop a comprehensive care plan tailored to your specific needs."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--836452.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm sorry I didn't finish my math homework.\n[00:02 - 00:04] Speaker B: Why didn't you finish it?\n[00:04 - 00:07] Speaker A: I don't know, I just\n[00:06 - 00:11] Speaker B: Wayde, you're a smart kid, and I know you can do this. So why didn't you finish your homework?\n[00:16 - 00:20] Speaker A: Uh, I don't know. I was just playing around and then I forgot about it.\n[00:20 - 00:32] Speaker B: Wayde, this is important. Your grades are slipping and if you don't turn things around, you're going to end up  in a situation where you'll have to take summer classes or even repeat the grade, which would be much harder than just doing your homework now.\n[00:33 - 00:37] Speaker A: I understand, sir. I'm really sorry. I know I need to do better.\n[00:37 - 00:42] Speaker B: Good. Now, let's try this again. Why didn't you finish your math homework?\n[00:42 - 00:49] Speaker A: Like I said before, I was just playing around and then I forgot about it. But I'm sorry, and I'll try to do better next time."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--16779.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi! I'm looking for a shirt to wear to my friend's birthday party.\n[00:04 - 00:11] Speaker B: Well, you've certainly come to the right place! We have a great selection of shirts in a variety of colors and\n[00:10 - 00:16] Speaker A: Yeah, I saw that. I'm looking for something nice, but not too dressy. Do you have anything in mind?\n[00:21 - 00:27] Speaker B: Got it. How about this pink shirt? It's a great color and it's only twenty dollars, which is a great deal for something this stylish.\n[00:28 - 00:35] Speaker A: Sorry to cut in, but does it come in other colors as well? I'm not sure if pink is quite my style.\n[00:35 - 00:38] Speaker B: Yes, it does! We have it in blue, white, and black too.\n[00:39 - 00:42] Speaker A: That sounds perfect! I'll take the blue one.\n[00:42 - 00:44] Speaker B: Great! I'll just need your size and I'll ring you up.\n[00:45 - 00:46] Speaker A: It's a small.\n[00:46 - 00:51] Speaker B: Okay, that will be twenty dollars total. Would you like to pay with cash or credit?\n[00:51 - 00:52] Speaker A: Credit, please."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--933043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey boss, can I talk to you for a second?\n[00:03 - 00:04] Speaker B: Sure, what's up?\n[00:04 - 00:10] Speaker A: I'm just not really happy with my work lately. I feel like I could be doing\n[00:09 - 00:15] Speaker B: Better? I see. What do you think is holding you back? Is it something specific or just an overall feeling?\n[00:20 - 00:25] Speaker A: I think it's an overall feeling, but I don't know, I just feel like I need to try harder.\n[00:26 - 00:30] Speaker B: Okay, well let's set some goals for you then. Let's see if we can help you get on track."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--478415.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm sorry, but I don't think this is going to work out. You're just not my type.\n[00:05 - 00:08] Speaker B: What do you mean? I thought we were getting along\n[00:07 - 00:15] Speaker A: We were, but then I saw you dressed like this and it just turned me off. It feels like you don't care about making a good impression.\n[00:19 - 00:24] Speaker B: That's not true! I was just being comfortable. I didn't know we were going to be dressing up tonight.\n[00:24 - 00:39] Speaker A: Well, maybe if you had asked me what the dress code was, I could have told you. But now it's too late and I just don't feel  the same connection that I did before because physical presentation is an important part of attraction for me in a relationship.\n[00:39 - 00:44] Speaker B: Wait, are you saying that just because of what I'm wearing, you don't feel attracted to me anymore?\n[00:44 - 00:54] Speaker A: Yes, it might sound shallow, but first impressions matter to me. I'm sorry you feel that way. I had a really good time with you up until now.\n[00:54 - 00:58] Speaker B: Me too. I'm just sorry it has to end like this."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--650705.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, Dad.\n[00:01 - 00:03] Speaker B: Hey there, kiddo. How are you doing?\n[00:03 - 00:07] Speaker A: I'm doing alright. Just hanging out with the family\n[00:07 - 00:11] Speaker B: Speaking of family, I wanted to ask—how's everyone doing? Is everything okay?\n[00:16 - 00:26] Speaker A: Yeah, everything's fine. It feels good to be a part of something like this. I've always felt like an outsider looking in, but now I feel like I belong here.\n[00:26 - 00:31] Speaker B: Well, we're glad to have you here, Livia. You're one of us now and we love you for that.\n[00:31 - 00:34] Speaker A: Thanks, Dad. That really means a lot to me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--386163.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey there. How are you doing today?\n[00:02 - 00:05] Speaker B: I'm doing well, thanks for asking. What about you?\n[00:05 - 00:08] Speaker A: I'm doing alright. Just enjoying the sunny day.\n[00:09 - 00:12] Speaker B: Yeah, it's really nice out today. So, what do you do?\n[00:13 - 00:24] Speaker A: I own a house in Arizona. I'm financially stable and don't have to rely on anyone else for help. I'm a self-sufficient individual who is capable of\n[00:23 - 00:28] Speaker B: Sorry to jump in, but did you mean Amanda? Or is Amada a different person?\n[00:32 - 00:38] Speaker A: Oh, I meant to say I am self-sufficient and capable of taking care of myself and my property.\n[00:38 - 00:43] Speaker B: That sounds really great! I'm guessing you don't have to worry about money too much then?\n[00:43 - 00:46] Speaker A: No, I don't. I'm pretty comfortable financially.\n[00:47 - 00:49] Speaker B: That's great! So, do you like living in Arizona?\n[00:50 - 00:56] Speaker A: Yeah, I do. It's a nice place to live. The weather is great and there's plenty of things to do.\n[00:56 - 01:03] Speaker B: Yeah, it definitely seems like a great place to live. Well, I should probably get going. It was nice talking to you.\n[01:03 - 01:05] Speaker A: Yeah, same here. Take care."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--655306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I'm tired of always being told what to do. I want to be able to make my own decisions and live my life the way I want to.\n[00:08 - 00:12] Speaker B: You're not a child anymore, Zariah. You need to start acting like an adult.\n[00:12 - 00:19] Speaker A: I am an adult! And I should be able to make my own choices without you always telling me what to\n[00:18 - 00:23] Speaker B: But Zariah, some choices are just too risky. You could get hurt if you're not careful.\n[00:27 - 00:31] Speaker A: I can handle myself. I don't need you constantly worrying about me.\n[00:32 - 00:46] Speaker B: Well, somebody has to worry about you. Your father is gone and your mother is preoccupied with her own life. Somebody has to look out for  you, even if you think you don't need it, because family should always be there to support each other through life's challenges and uncertainties.\n[00:46 - 00:55] Speaker A: Look, Rayah, I get that you're concerned, but that doesn't mean you have to control every aspect of my life. I can take care of myself.\n[00:55 - 00:59] Speaker B: I know you can, but sometimes I just can't help but worry about you.\n[00:59 - 01:03] Speaker A: Well, don't. I'm a big boy now and I can take care of myself.\n[01:04 - 01:06] Speaker B: I know. I'm just worried about you, that's all.\n[01:06 - 01:09] Speaker A: Well, don't be. I can take care of myself."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--473100.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi Ziya! I'm so glad I found you!\n[00:03 - 00:06] Speaker B: Joya! I'm so happy to see you too! How have you been?\n[00:07 - 00:09] Speaker A: I've been good. I missed you though.\n[00:09 - 00:12] Speaker B: I missed you too. What have you been up to?\n[00:12 - 00:19] Speaker A: Just hanging out with my friends and family. I went for a few walks, but it's not the same without\n[00:18 - 00:22] Speaker B: Sorry to interrupt, but did you visit any new places on your walks?\n[00:28 - 00:41] Speaker A: No, just the usual spots. But I haven't mentioned that I really wanted to share some of those moments with you  because those places hold special memories for us and I keep imagining what it would be like if you were here right now.\n[00:41 - 00:45] Speaker B: I totally get that. It's always more fun when you're with someone special."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--906513.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I'm really loving this song.\n[00:02 - 00:05] Speaker B: Yeah, it's pretty great. I love the way it\n[00:04 - 00:10] Speaker A: Sorry to jump in, but do you know who the artist is? I want to check out more of their music.\n[00:15 - 00:21] Speaker B: Oh, it's by The Weeknd. I was just about to say how it makes me feel happy. It's so catchy and upbeat.\n[00:21 - 00:28] Speaker A: I know what you mean. It's like, no matter what mood you're in, this song will always make you feel better.\n[00:28 - 00:31] Speaker B: Exactly! That's exactly how I feel about it too."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--88738.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Sarah. How are you doing?\n[00:02 - 00:04] Speaker B: I'm doing well, thank you. How about you?\n[00:05 - 00:16] Speaker A: You know, I'm feeling really good these days. I'm just grateful for everything I have and how far I've come. It feels like things are finally falling into place for\n[00:15 - 00:21] Speaker B: That's wonderful to hear. Can I ask, was there a specific moment or event that made you realize things were starting to align?\n[00:26 - 00:40] Speaker A: It wasn't really one specific moment, but more of a gradual realization. I just woke up one day and knew I needed to make some changes. And once I started doing that, everything else followed suit. It's been really nice.\n[00:41 - 00:49] Speaker B: That makes sense. So, do you feel like you're content now? Or is there still more that you want to achieve, or are you just taking things as they come?\n[00:49 - 00:58] Speaker A: Actually, I think I'm finally content. I'm just focused on enjoying the journey, and whatever comes next will happen when it's supposed to.\n[00:58 - 01:01] Speaker B: That sounds amazing. I'm really happy for you!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--826028.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hi.\n[00:01 - 00:02] Speaker B: Hi. Who are you?\n[00:02 - 00:06] Speaker A: I'm Dariela. I work in the building next door.\n[00:06 - 00:09] Speaker B: Nice to meet you, Dariela. I'm Arman.\n[00:09 - 00:15] Speaker A: I know who you are. I've seen you around the neighborhood and I've been wanting to talk to you for a while.\n[00:15 - 00:17] Speaker B: Oh, really? What about?\n[00:17 - 00:23] Speaker A: I don't know, just anything really. You seem like a nice person and I thought it would be nice to\n[00:22 - 00:28] Speaker B: Sorry to interrupt, but have we met before at any neighborhood events? Your face seems familiar.\n[00:33 - 00:42] Speaker A: No, I don't think we've officially met. I just recognize you from around. As I was saying, I thought it would be nice to get to know you better.\n[00:42 - 00:47] Speaker B: That's very sweet of you. I appreciate your interest, but I'm not really looking to make any new friends right now.\n[00:48 - 00:56] Speaker A: That's okay, I understand. Maybe we could just talk for a little bit? I promise I won't take up too much of your time or make you uncomfortable.\n[00:56 - 01:01] Speaker B: Actually, I'm curious, what made you decide to approach me today specifically?\n[01:01 - 01:13] Speaker A: Well, I saw you sitting here alone and thought it was a good opportunity. I promise I won't  take up too much of your time because I genuinely respect your boundaries and just wanted to make a friendly connection.\n[01:13 - 01:15] Speaker B: All right, Dariela. Let's talk."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--691830.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, therapist.\n[00:02 - 00:05] Speaker B: Hi, Alexzandria. How are you doing today?\n[00:05 - 00:10] Speaker A: I'm doing alright. Just trying to focus on the positive things in my life.\n[00:11 - 00:16] Speaker B: That's a great attitude! What are some of the positive things that have been happening in your\n[00:15 - 00:22] Speaker A: Sorry, I just remembered something. Do you think focusing on the positive might make me overlook some underlying issues?\n[00:27 - 00:36] Speaker B: It's possible, but focusing on the positive can also give you the strength to address those issues when they arise. But you were about to tell me about the positive things in your life?\n[00:36 - 00:44] Speaker A: Right, well, I just got a promotion at work, and my girlfriend and I are doing really well. We just went on a great vacation together.\n[00:45 - 00:51] Speaker B: That sounds like excellent news! It sounds like you're really making some progress in your life. Keep up the good work!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--776855.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: This is so frustrating. I can't believe I have to do\n[00:03 - 00:08] Speaker B: Sorry to jump in, but do you have all the tools you need? I can grab anything you're missing.\n[00:13 - 00:20] Speaker A: I think I have everything, but it's just so annoying. I wish I could just wave a magic wand and make this all go away.\n[00:21 - 00:34] Speaker B: Well, unfortunately, we don't have magic wands. But changing a tire isn't that difficult once you know how to do it. Just take your time and be  patient with yourself because rushing through it might lead to mistakes and we definitely don't want that to happen.\n[00:35 - 00:39] Speaker A: Be careful, right? Yeah, I guess you're right. Thanks for your help."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--372789.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Dev. What're you watching?\n[00:03 - 00:07] Speaker B: Just this show I like. It's about a family of bears who live in the\n[00:06 - 00:15] Speaker A: Oh, that sounds cute. I remember when I used to watch shows like that with my little sister. We would always make up our own storylines for the characters.\n[00:20 - 00:32] Speaker B: Yeah, I do that too sometimes. But I also like just watching what happens on the  screen and seeing how the story unfolds naturally, with all its unexpected twists and turns that keep me engaged episode after episode.\n[00:33 - 00:38] Speaker A: Do you think the show teaches anything valuable, like lessons about nature or family?\n[00:38 - 00:43] Speaker B: Yeah, it does actually. It's pretty educational while still being fun to watch.\n[00:43 - 00:51] Speaker A: That's good. It's important to use your imagination, but it's also good to just relax and take in what you're seeing too.\n[00:51 - 00:52] Speaker B: Yeah, I guess so.\n[00:53 - 00:55] Speaker A: Did you have a good day today?\n[00:55 - 00:59] Speaker B: Yeah, it was alright. I went to school and then came home.\n[00:59 - 01:01] Speaker A: Did anything exciting happen at school?\n[01:02 - 01:05] Speaker B: Not really. We had a test in math and I got an A+.\n[01:06 - 01:08] Speaker A: That's great! I'm so proud of you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--719372.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Raeanna, I can't believe we're finally here! This day has been so long, but it's finally our last night of the\n[00:07 - 00:13] Speaker B: I know! Before we get too into the night, did you remember to pack everything? I almost forgot my charger this morning.\n[00:19 - 00:29] Speaker A: Oh, good point! I double-checked my stuff, so I think I'm good. But yes, this conference has felt like forever. Still, it's been a good conference, haven't you thought?\n[00:30 - 00:36] Speaker B: Absolutely. I've loved getting to meet new people and learn new things. But I'm definitely ready to go home tomorrow. How about you?\n[00:37 - 00:47] Speaker A: Yeah, I'm ready to go home too. But first, let's enjoy our last night here! What do you want to do? Maybe we can check out that live music they mentioned earlier.\n[00:48 - 00:54] Speaker B: Actually, before we decide, do you think we should grab a quick bite first? I heard the food at the party might be just snacks.\n[00:54 - 01:02] Speaker A: That's a good idea! Let's grab something to eat first, then we can check out that party in the lobby. How does that sound?\n[01:02 - 01:03] Speaker B: Perfect! Let's go!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--140026.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Thank you so much for taking me on this amazing trip! The Himalayas are absolutely breathtaking. I feel so relaxed here, and the fresh air is wonderful. I can't believe how lucky I am to be able to experience all of this!\n[00:14 - 00:23] Speaker B: You're very welcome! I'm glad you're enjoying yourself. The Himalayas are a truly special place. There's something about the mountains that just makes you feel at peace, don't you\n[00:22 - 00:26] Speaker A: Absolutely! By the way, do you come here often?\n[00:31 - 00:41] Speaker B: Oh yes, I love it here! I try to come as often as I can. It's a great way to clear your head and recharge your batteries, especially after dealing with the hustle and bustle of city life.\n[00:41 - 00:49] Speaker A: I can definitely see that. I think I could stay here forever and just soak up all the peace and tranquility that the mountains offer.\n[00:50 - 00:59] Speaker B: I know exactly what you mean! But unfortunately, we'll have to head back down at some point. Just curious, what do you think is the main reason why people find mountains so calming?\n[00:59 - 01:11] Speaker A: That's a good question. I think it's the combination of the natural beauty and the sense of isolation from everyday stress. But you mentioned we have to head back down—how much time do we have left here?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--937978.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Hey, thanks for checking out my car. I just wanted to make sure everything was in good working order before I hit the\n[00:07 - 00:14] Speaker B: Sorry to interrupt, but do you have a specific destination in mind? It might help me give you some additional advice if I know where you're heading.\n[00:20 - 00:28] Speaker A: Oh, good point! I'm actually planning a road trip up to the mountains. So, what do you think? Is everything looking good?\n[00:28 - 00:42] Speaker B: Everything looks fine under the hood. The oil levels are good, the water levels are good, and the tires have plenty of tread. The only thing I'd check is your gas level and make sure your emergency brake is functioning properly, especially since you'll be driving in hilly terrain.\n[00:42 - 00:50] Speaker A: Engaged, right? I'll double-check that. Anything else I should be aware of, especially considering the mountain roads?\n[00:50 - 00:55] Speaker B: Other than that, you should be all set! Just make sure to take it slow on those curves.\n[00:55 - 00:59] Speaker A: Alright, well thanks for your help. I feel much more confident now.\n[00:59 - 01:01] Speaker B: No problem, happy to help. Drive safe!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--798455.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: It's so important to always be true to yourself. You can't grow as a person if you're not honest with\n[00:06 - 00:12] Speaker B: Sorry to jump in, but do you think people struggle with this because of societal pressures or personal insecurities?\n[00:17 - 00:34] Speaker A: I think it's a combination of both. Societal pressures can definitely make it harder for people to be true to themselves. But personal insecurities play a big role too. So many people try to be someone they're not, and it just doesn't lead to genuine happiness or fulfillment.\n[00:34 - 00:44] Speaker B: I completely agree! It's impossible to grow if you're not being honest with yourself. But I'm curious, what do you think is the first step for someone to start being more honest with themselves?\n[00:45 - 01:07] Speaker A: The first step is self-reflection. Taking the time to understand your true feelings and desires is crucial. People need to realize that they can't change who they are, they can only grow and learn from their experiences. Trying to be someone else is just a  waste of time and energy that could be better spent on personal development and building authentic relationships with others."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--49720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: I really admire the way you carry yourself, Kaily. You always seem so confident and sure of yourself. I wish I could be more like that.\n[00:08 - 00:18] Speaker B: Well, thank you, Chyna. It's something that I've had to work on, for sure. Confidence is something that you have to build from within yourself. It's not something that just comes naturally to\n[00:18 - 00:25] Speaker A: Sorry to jump in, but how did you start building it? Was there a specific moment or event that triggered this change for you?\n[00:30 - 00:51] Speaker B: There wasn't a single moment, but a series of small steps and experiences that helped me. For example, I started taking risks in situations where I felt uncomfortable. But once I started believing in myself and my own abilities, things got a lot easier. Nowadays, I still have moments where I doubt myself – we all do – but overall, I feel pretty good about who I am and what I can do.\n[00:51 - 01:02] Speaker A: That's really inspiring, Kaily. I'm definitely going to try to work on my confidence more. It would make such a difference in my life if I could feel that way all the time.\n[01:02 - 01:05] Speaker B: Absolutely! I believe in you, Chyna. You can do it!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--883174.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey Kellee, what's up?\n[00:01 - 00:03] Speaker B: Not much, just hanging out. What about you?\n[00:04 - 00:08] Speaker A: Same here. I'm just chilling and thinking about how we could\n[00:07 - 00:11] Speaker B: So what do you think of my jokes? Do you find them entertaining, or do you think they need some work?\n[00:16 - 00:22] Speaker A: Sorry to jump in, but I was wondering if you were joking just to lighten the mood or if you really thought they were funny?\n[00:23 - 00:28] Speaker B: Well, I was just trying to be friendly and make you laugh. I'm sorry if you didn't find my jokes funny.\n[00:28 - 00:32] Speaker A: It's okay, I'm sorry for ignoring you and treating you like a clown.\n[00:32 - 00:34] Speaker B: It's all good. I understand."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--575640.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Yeah, I don't know what to do or where to go. It feels like the whole world is against\n[00:05 - 00:14] Speaker B: Sorry to interrupt, but have you talked to anyone else about this? Like a close friend or a counselor? It might help to share your feelings with someone who can offer support.\n[00:18 - 00:24] Speaker A: I haven't really talked to anyone yet. I just feel like I can't trust anyone anymore.\n[00:24 - 00:39] Speaker B: That's understandable, considering what you've been through. But there are people out there who genuinely want to help you. You just have to reach out for them and let them  in, even if it feels difficult. They can be a source of comfort and guidance during this time when you're feeling most vulnerable and uncertain about everything.\n[00:40 - 00:45] Speaker A: I get what you're saying, but it's really hard to take that step when you feel so broken inside."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--81191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: So, I wrote a letter to the editor of our local paper about the animal abuse that's been going on.\n[00:05 - 00:08] Speaker B: Really? What made you do\n[00:07 - 00:15] Speaker A: I just couldn't stand seeing animals being treated so badly and not doing anything about it. If we don't speak up for them, who will?\n[00:20 - 00:32] Speaker B: That's true. But it takes a lot of courage to put your beliefs out there like  that, especially in a public forum where you might face criticism from people who don't share your views or understand the severity of the situation.\n[00:32 - 00:43] Speaker A: I know it's not easy, but if we want to make a difference, we have to be willing to stand up for what we believe in and be vocal about it. Otherwise, nothing will change.\n[00:43 - 00:49] Speaker B: You're right. We need more people like you who are willing to speak out and fight for what's right. Thank you for doing this."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1122880.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, I'm sorry about what happened earlier. I didn't mean to upset\n[00:04 - 00:10] Speaker B: No, I get it. But I have to ask, do you think we should maybe talk through what happened a bit more before we just move on?\n[00:15 - 00:22] Speaker A: It's okay, I overreacted. I'm sorry too. And you're right, maybe we should clear the air a bit more.\n[00:23 - 00:27] Speaker B: Yeah, I guess we both did. But it's important that we're on good terms with each other, right?\n[00:28 - 00:30] Speaker A: Absolutely. We're a team, after all.\n[00:31 - 00:34] Speaker B: Exactly. So let's just forget about what happened and move on, okay?\n[00:35 - 00:36] Speaker A: Sounds good to me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--926731.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey coach. I wanted to come out here and show everyone that I can\n[00:04 - 00:08] Speaker B: Hold on, Micheala. Are you sure you're ready for this? It's a big step.\n[00:13 - 00:18] Speaker A: Of course I am. I wouldn't have come out here if I didn't think I could win.\n[00:18 - 00:24] Speaker B: Okay, well let's see what you've got then. Remember to stay focused and don't let your emotions get the better of you.\n[00:25 - 00:27] Speaker A: I will, coach. Thanks for everything.\n[00:28 - 00:32] Speaker B: Remember, focus on your opponent and don't let anything else distract you.\n[00:32 - 00:44] Speaker A: I knew you could do it, Micheala! Now keep it up and you'll be  unstoppable in the next round if you maintain this level of performance and continue to adapt your strategy based on your opponent's weaknesses.\n[00:44 - 00:49] Speaker B: Victorious, right? But don't forget, it's not over until it's over. Stay sharp!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1022590.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hi, coach. I'm getting ready for my presentation to the board and I wanted to go over it with you one last time.\n[00:07 - 00:09] Speaker B: Absolutely. Let's take a look at your slides.\n[00:09 - 00:16] Speaker A: Okay. So, my presentation is about the new product development process that we've been\n[00:15 - 00:23] Speaker B: Sorry to jump in, but before we dive into the details, have you thought about how you'll address any potential concerns from the board regarding this process?\n[00:28 - 00:39] Speaker A: That's a good point. I was planning to discuss some areas for improvement later in the presentation. But first, I want to give them an overview of the process we've been using.\n[00:39 - 00:42] Speaker B: Got it. Let's continue with the overview then.\n[00:42 - 00:51] Speaker A: Okay. So, my first slide is an overview of the process that we've been using and how it aligns with our overall strategic goals.\n[00:52 - 00:57] Speaker B: Well, let's go through your presentation and see if there are any areas where we can make some changes or tweaks.\n[00:57 - 01:00] Speaker A: Thanks, coach. I feel a lot better now.\n[01:00 - 01:06] Speaker B: You're welcome. I think you'll do great. Just remember to stay calm and focused when you're presenting to the board.\n[01:07 - 01:09] Speaker A: I will. Thanks again for your help."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--228608.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Wow, that was a really long fall. I'm lucky to be\n[00:03 - 00:08] Speaker B: You're very lucky indeed. Let me take a look at you and see if you have any injuries.\n[00:12 - 00:19] Speaker A: I don't think so. I don't feel anything broken or any sharp pain, but it's hard to tell for sure.\n[00:19 - 00:25] Speaker B: Wait, before you say that, can you move your arms and legs? Just to be sure there's no pain or stiffness.\n[00:25 - 00:38] Speaker A: Oh, okay. Yeah, I can move them just fine. I was about to say I don't feel anything broken or  anything particularly concerning, though there is some general soreness throughout my body from the impact.\n[00:38 - 00:45] Speaker B: That's good. We'll get you to the hospital and have some x-rays just to be sure. You may have internal bleeding, so we need to keep an eye on you.\n[00:46 - 00:49] Speaker A: Okay, that makes sense. Thank you for taking care of me.\n[00:50 - 00:54] Speaker B: You're welcome, Cadin. Just try to relax and we'll have you at the hospital in no time."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--30336.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So what do we have here?\n[00:02 - 00:04] Speaker B: We have a dead body. It looks like he was stabbed.\n[00:04 - 00:06] Speaker A: Do we know who\n[00:05 - 00:10] Speaker B: Sorry to interrupt, but I need to clarify, was there any sign of a struggle at the scene?\n[00:15 - 00:20] Speaker A: Yes, there were signs of a struggle. We're not sure yet. We're still investigating.\n[00:20 - 00:21] Speaker B: Do you have any leads?\n[00:22 - 00:29] Speaker A: We're following a few leads, but we're not ready to release any detailed information until we have more concrete evidence.\n[00:29 - 00:36] Speaker B: I understand the need for confidentiality, but can you at least confirm if the leads are based on witness statements or forensic evidence?\n[00:37 - 00:45] Speaker A: Mostly forensic evidence. I see. Well, let me know if you need any help with the investigation. I'm good at solving crimes.\n[00:45 - 00:47] Speaker B: Thanks, we'll keep that in mind."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--824468.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I'm going to make my move.\n[00:01 - 00:02] Speaker B: What's your plan?\n[00:03 - 00:05] Speaker A: I'm going to go talk to Jack about\n[00:04 - 00:08] Speaker B: Why? What are you hoping to understand from him or achieve by talking to him?\n[00:13 - 00:24] Speaker A: Sorry, I should have been clearer. I'm hoping that I can talk some sense into him. He's obviously in over his head and if he doesn't get help soon, things are going to get worse for him.\n[00:25 - 00:32] Speaker B: What makes you think you can actually get through to him when  others have tried and failed to make him see reason despite their best efforts and multiple interventions?\n[00:32 - 00:38] Speaker A: I don't know if I can, but I have to try. He's my friend and I care about him."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--635774.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hi, Mom.\n[00:01 - 00:02] Speaker B: Hi, Brittnay. How are you?\n[00:03 - 00:06] Speaker A: I'm good. I just wanted to call and talk to you.\n[00:06 - 00:09] Speaker B: I'm glad you called. I've been worried\n[00:08 - 00:12] Speaker A: I know. I'm sorry. But I'm okay now. Really.\n[00:17 - 00:19] Speaker B: What happened? Tell me everything.\n[00:19 - 00:39] Speaker A: It's a long story, but the short version is that I got lost in the woods and ended up at this old cabin in the middle of nowhere. It was really scary at first, but then this nice couple found  me wandering around disoriented and took me in, gave me warm food and clothes, and helped me contact the authorities to get back home safely.\n[00:40 - 00:44] Speaker B: Wait, you were lost in the woods? How long were you out there?\n[00:44 - 00:51] Speaker A: I think it was about a day and a half before they found me. But I was going to say, they helped me get back home safely.\n[00:52 - 00:56] Speaker B: Oh, Brittnay. I'm so glad you're okay. I was so worried about you.\n[00:57 - 01:01] Speaker A: I know. I'm sorry. But like I said, I'm okay now.\n[01:01 - 01:07] Speaker B: Well, you're definitely grounded when you get home. No more wandering off into the woods by yourself. Understand?\n[01:08 - 01:09] Speaker A: Yes, Mom. I understand."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--806479.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: I'm so sorry. I know I've put you all through a lot, and I feel terrible about it. I'm determined to turn things around though. I need to make some changes in my life so that I can be the person you can all be proud of\n[00:12 - 00:21] Speaker B: Ebonee, you don't have to worry about making us proud. The most important thing is that you're doing this for yourself. Are you sure you're ready for these changes?\n[00:26 - 00:37] Speaker A: Yes, I am. I know it won't be easy, but I can't keep living like this. I need to get my life back on track, and I really appreciate your support. It means the world to me.\n[00:37 - 00:39] Speaker B: We'll support you every step of the way, Ebonee."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--188417.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Wow, I really love your painting of the cityscape! It's so beautiful and detailed.\n[00:05 - 00:07] Speaker B: Thank you, I'm glad you like it.\n[00:07 - 00:14] Speaker A: I'm actually thinking about getting a cityscape tattooed on my back. Would you be able to help me with that?\n[00:14 - 00:19] Speaker B: Sure, I can help you with that. What kind of cityscape are you thinking of\n[00:18 - 00:25] Speaker A: Actually, I was considering New York City. I love the skyline, especially how the buildings light up at night.\n[00:30 - 00:41] Speaker B: Okay, that sounds like a great idea. I can help you with that. Do you have any specific landmarks or buildings in mind, like the Empire State or the Brooklyn Bridge? Those could really add to the overall look.\n[00:41 - 00:48] Speaker A: Oh, definitely the Empire State Building! And maybe the Statue of Liberty too. Those are must-haves for me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--280675.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm here for you if you need to talk.\n[00:02 - 00:08] Speaker B: Yeah, I'm just feeling a bit overwhelmed lately. Everything seems to be happening all at once and I can't\n[00:08 - 00:15] Speaker A: Sorry to jump in, but when you say \"everything,\" is there something specific that's been weighing on you more than the rest?\n[00:20 - 00:24] Speaker B: It's mostly work. I'm trying to juggle multiple projects, and it's like I can't keep up.\n[00:25 - 00:33] Speaker A: That sounds tough. Do you want to go for a walk with me and the dog? Sometimes getting some fresh air can help clear your head.\n[00:33 - 00:35] Speaker B: Yeah, that sounds good. Let's go.\n[00:36 - 00:39] Speaker A: So, what do you see yourself doing in five years?\n[00:39 - 00:49] Speaker B: I'm not really sure. I want to be doing something that I love, but I'm not sure what that is  or how to get there given my current skill set and the rapidly changing job market landscape.\n[00:50 - 00:56] Speaker A: I totally get that. But have you thought about what you're passionate about? Maybe that could guide you.\n[00:57 - 01:03] Speaker B: Yeah, I think about it sometimes, but nothing really stands out yet. I'll definitely keep exploring. Thanks for the advice."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--648176.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how are you doing?\n[00:01 - 00:05] Speaker B: I'm good. Just hanging out with some friends. What about\n[00:04 - 00:09] Speaker A: Oh, where did you guys go? I was thinking of trying out that new café downtown.\n[00:14 - 00:21] Speaker B: Actually, we were just at a friend's place, nothing too fancy. I'm good too. I just got back from spending time with my family.\n[00:22 - 00:24] Speaker A: That's great! How was it?\n[00:24 - 00:35] Speaker B: It was really nice. I got to see my cousins and catch up with them. We went out to eat and then just hung out at home and  played some board games that brought back childhood memories and had us laughing all night long.\n[00:35 - 00:40] Speaker A: Speaking of eating out, did you try that new restaurant everyone's talking about?\n[00:40 - 00:46] Speaker B: No, we didn't. We just went to our usual spot. We talked a lot after that. It was a lot of fun.\n[00:46 - 00:51] Speaker A: That sounds like a great time. I'm glad you got to spend time with your family.\n[00:51 - 00:55] Speaker B: Yeah, me too. I'm really lucky to have such a great family."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1156242.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, I'm home.\n[00:02 - 00:03] Speaker B: Hey, how was your day?\n[00:03 - 00:06] Speaker A: It was good. How was yours?\n[00:06 - 00:08] Speaker B: It was good. I made dinner.\n[00:09 - 00:10] Speaker A: What did you make?\n[00:10 - 00:12] Speaker B: Roast beef and mashed\n[00:11 - 00:17] Speaker A: Oh, that sounds amazing! Did you use the recipe from last time or try something new?\n[00:22 - 00:25] Speaker B: I actually tried a new recipe this time. I hope you'll like it.\n[00:25 - 00:28] Speaker A: I'm sure I will. I'm starving.\n[00:28 - 00:30] Speaker B: Well, come on in and eat then.\n[00:30 - 00:34] Speaker A: I will in a minute. I just want to sit here for a minute and relax.\n[00:35 - 00:37] Speaker B: Okay, I'll keep your food warm.\n[00:37 - 00:39] Speaker A: Thanks. So, how was your day?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1010589.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, I'm Daliyah.\n[00:02 - 00:05] Speaker B: Hi, I'm Hezekiah. Nice to meet you.\n[00:05 - 00:08] Speaker A: Yeah, same here. What are you up to today?\n[00:09 - 00:11] Speaker B: Just picking up a few things from the store. You?\n[00:12 - 00:15] Speaker A: Same here. I needed to get some milk before it went\n[00:15 - 00:21] Speaker B: Oh, speaking of milk, do you know if they have any organic options here? I've been trying to switch to healthier choices.\n[00:26 - 00:34] Speaker A: I think they do, in the refrigerated section. But I was saying, before it went bad, I had to grab some. Anyway, do you live around here?\n[00:34 - 00:36] Speaker B: Yes, I live just a few blocks away from here.\n[00:37 - 00:41] Speaker A: That's cool. I live about fifteen minutes away from here.\n[00:41 - 00:44] Speaker B: Oh, that's not too far then. Do you like it where you live?\n[00:45 - 01:06] Speaker A: Yeah, I do. It's a pretty quiet neighborhood and there are a lot of families with kids around so it feels safe. Plus, my commute to work is pretty short so that's a  huge advantage for me since I can sleep in a bit later and still make it to the office on time without feeling rushed. I used to have a much longer commute, and it really took a toll on my day.\n[01:06 - 01:13] Speaker B: Oh, I wish I had a shorter commute! Mine takes nearly an hour each way. How do you manage to find a place so close to work?\n[01:14 - 01:29] Speaker A: I got lucky, honestly. It was one of the first places I checked out, and it just worked out. But yeah, the short commute is definitely a plus. I've been thinking about moving to a quieter neighborhood myself but haven't really found the perfect place yet."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--972977.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, I'm so glad you could have me over!\n[00:03 - 00:05] Speaker B: Yeah, no problem. So, how've you been?\n[00:06 - 00:13] Speaker A: I've been good. I just turned off the heat before I left, so hopefully the house won't be too\n[00:12 - 00:17] Speaker B: Oh, speaking of your house, did you ever get that leak fixed? You mentioned it last time.\n[00:21 - 00:25] Speaker A: Yes, I did! It was a bit of a hassle, but it's all sorted now.\n[00:26 - 00:27] Speaker B: That's really responsible of you.\n[00:28 - 00:34] Speaker A: Yeah, I try to be. My mom always says that it's better to be safe than sorry.\n[00:34 - 00:36] Speaker B: That's a good motto to live by."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--488132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: What the hell are you doing back in town? I thought I told you to stay\n[00:03 - 00:05] Speaker B: I came back to see my family. What's it to you?\n[00:10 - 00:15] Speaker A: You're not welcome here, Kaylynn. You need to leave before you cause any more trouble.\n[00:16 - 00:33] Speaker B: I'm not causing any trouble. I just want to see my family. Why are you so against that? Is it because of what happened between us? Because I'm sorry about that, Jaylinn. I was young and stupid and I didn't know what I was  doing, and I never meant to hurt you or anyone else, but I've grown since then and I just want a chance to make things right.\n[00:33 - 00:42] Speaker A: Kaylynn, this isn't just about what happened between us. It's about the chaos you bring every time you're here. Your family has been through enough.\n[00:43 - 00:57] Speaker B: That's not what I wanted to hear, Jaylinn. But I guess it was to be expected from you. You were always more interested in your own life than anyone else's. Well, I'm not going to give up on my family, no matter how much you want me to. I'm going to find a way back into their lives, whether you like it or not.\n[00:58 - 01:05] Speaker A: You're wasting your time, Kaylynn. They don't want anything to do with you. Just give up and leave town before you cause any more pain."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--583537.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I can't believe I left my phone at the office!\n[00:03 - 00:04] Speaker B: Oh no, that's terrible!\n[00:05 - 00:16] Speaker A: Yeah, I was really upset at first. But then I realized that this could be a good opportunity to disconnect from technology for a day. And you know what? It was\n[00:15 - 00:21] Speaker B: Wait, did you have any important calls or messages you were expecting? That would have been my first concern.\n[00:26 - 00:35] Speaker A: Surprisingly, no. I mean, I did have some emails and notifications, but nothing urgent. It was great! I felt so liberated without my phone.\n[00:35 - 00:48] Speaker B: That's really interesting. I've been thinking about doing something similar lately. Our lives are so intertwined with our phones and social media nowadays, it's hard to imagine life without them. But maybe we don't need them as much as we think we do.\n[00:48 - 01:05] Speaker A: Exactly! I definitely don't need my phone as much as I thought. It was nice to just be present in the moment and not be distracted by notifications or emails or anything like that. Plus, it forced me to talk to people more instead of looking at my screen all the time.\n[01:06 - 01:18] Speaker B: Yes, that's true. We often use our phones as a crutch when we're feeling awkward or shy in social situations. But if we didn't have them, we would have to actually interact with people instead of hide behind our screens.\n[01:18 - 01:26] Speaker A: Exactly! So overall, it was a really positive experience for me. And who knows, maybe I'll do it again sometime soon."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--795181.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So how's married life?\n[00:01 - 00:03] Speaker B: It's good. I'm really happy.\n[00:04 - 00:08] Speaker A: I'm glad to hear that. So, what's been the best part of it so far?\n[00:09 - 00:18] Speaker B: The best part has definitely been having someone to come home to every night. Someone who loves me unconditionally and is always there for me. Plus, the sex is pretty\n[00:18 - 00:25] Speaker A: Sorry to cut in, but I just remembered—how's the adjustment been? You know, living together and sharing space every day?\n[00:30 - 00:39] Speaker B: It's actually been smoother than I expected. We've had a few small disagreements, but nothing major. I was going to say, the sex is pretty great too. (laughs)\n[00:39 - 00:44] Speaker A: That sounds nice. I'm happy for you, Gionna. You deserve it after everything you've been through.\n[00:45 - 00:51] Speaker B: Thanks, Maryrose. I couldn't have done it without you. You've always been there for me, even when no one else was.\n[00:51 - 00:55] Speaker A: Of course. I love you, Gionna. You're like a brother to me.\n[00:55 - 00:57] Speaker B: I love you too, Maryrose."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1097575.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I just don't know if I can keep going. I feel like I'm\n[00:03 - 00:09] Speaker B: Forcing yourself? I get that, but what exactly is making it so unbearable? Is it because of what happened with your mom?\n[00:15 - 00:27] Speaker A: Yeah, I guess so. It's just really hard to talk about  the emotions that come up every time I think about it because they're so overwhelming and complex, mixing grief with anger and confusion all at once.\n[00:27 - 00:34] Speaker B: I can only imagine. But remember, you're not alone in this. We're all here to support you, and it's okay to take your time with it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--57082.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Kyan. I wanted to talk to you about what happened the other day.\n[00:04 - 00:10] Speaker B: Oh, yeah. I'm sorry about that. I was really mad when it happened and I didn't mean to take it out on\n[00:09 - 00:16] Speaker A: I get it, but I think what really bothered me was that we didn't get a chance to talk it through before everything escalated.\n[00:21 - 00:24] Speaker B: Yeah, me too. I guess we both got pretty worked up about it.\n[00:25 - 00:31] Speaker A: Yeah, we did. But at least we're talking now and we can figure out a way to move forward from this.\n[00:32 - 00:37] Speaker B: Yeah, definitely. So, what do you think we should focus on first to make sure this doesn't happen again?\n[00:37 - 00:47] Speaker A: Before we dive into solutions, I just want to emphasize that better communication is key. We need to be more open with each other so this doesn't happen again.\n[00:47 - 00:50] Speaker B: Absolutely. That's something I definitely want to work on too.\n[00:50 - 01:07] Speaker A: Great! Secondly, I think we need to be more understanding of each other's perspectives and try to see things from  the other person's point of view more often, especially when tensions are running high and emotions might cloud our judgment. This way, we can avoid misunderstandings."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--311173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: It was so good, I feel like I could eat another one of those right now.\n[00:04 - 00:05] Speaker B: You really enjoyed it, huh?\n[00:06 - 00:12] Speaker A: Are you kidding? It was amazing! I've never had anything like it before—\n[00:11 - 00:16] Speaker B: What exactly made it stand out for you? Was it the flavor or the way it was prepared?\n[00:21 - 00:27] Speaker A: Definitely the flavor, but also the texture. The chef here is really talented.\n[00:27 - 00:30] Speaker B: I'll say! I'm already looking forward to my next meal here."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--724308.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: It's bleeding a lot, Mom. I'm really\n[00:02 - 00:07] Speaker B: Scared? I know, sweetheart. But remember, I'm here with you. We'll get through this together.\n[00:12 - 00:12] Speaker A: Okay.\n[00:13 - 00:25] Speaker B: Now, let's take a look at that knee. Hmm, it doesn't look too bad. But we'll need to clean it up and  make sure it's properly disinfected before we cover it with a sterile bandage to prevent any bacteria from entering the wound.\n[00:25 - 00:27] Speaker A: Put a bandage on it? Please hurry, Mom!\n[00:27 - 00:31] Speaker B: I will, sweetie. I'm going to go get the supplies. I'll be right back.\n[00:32 - 00:33] Speaker A: Hurry, Mom!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1175954.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Sarah, I can't believe we're finally in Japan! I've been wanting to come here for years and now that we're actually standing here in Tokyo, it feels like\n[00:08 - 00:13] Speaker B: I know, me too! It's so beautiful here. Everything is so different from what we're used to back home.\n[00:18 - 00:31] Speaker A: Right? The architecture, the people—everything has its own charm. Just being here makes me feel like a better person already. I feel like I can learn so much about a new culture and gain some much-needed perspective.\n[00:32 - 00:47] Speaker B: I completely agree. There's something about being in a foreign country that just makes you see things differently. Maybe it's because you're not as familiar with your surroundings, but either way, it definitely gives you a new perspective on what really matters in life and how we approach our daily routines.\n[00:47 - 01:02] Speaker A: Speaking of perspective, I can't wait to visit some temples and historical sites. I feel like those will really open my eyes to  the spiritual side of Japan and help me understand the deep philosophical traditions that have shaped this society for centuries.\n[01:03 - 01:10] Speaker B: Absolutely. Japan is such a rich culture with so much to offer. I think you'll definitely come back a changed woman after spending some time here."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--805520.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Mom, I'm angry because I wasn't allowed to go outside and play with my friends. I had to stay inside because you said it was too\n[00:08 - 00:13] Speaker B: I know you're upset, but can we talk about how cold it really was? I was worried you might get sick.\n[00:18 - 00:35] Speaker A: But Mom, all my friends were outside playing and I wanted to be with them. It's not fair that I had to stay inside while they got to  have fun building snow forts and sledding down the big hill, and I felt like I was missing out on all the excitement and special winter memories they were making together.\n[00:35 - 00:45] Speaker B: I get it, you felt left out. But your health is more important to me than anything else. Maybe next time, we can plan something special inside when it's too cold to go out."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--526526.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I was playing on the monkey bars and I got tangled in the rope. I fell and got a bruise on my\n[00:05 - 00:08] Speaker B: Oh no, that sounds like it hurts. Did you fall from a high place?\n[00:13 - 00:17] Speaker A: It wasn't that high. I fell and got a bruise on my leg.\n[00:17 - 00:19] Speaker B: Are you sure? Let me see your leg.\n[00:19 - 00:21] Speaker A: Mom, I'm fine!\n[00:21 - 00:23] Speaker B: Madalyn, please let me see your leg.\n[00:24 - 00:24] Speaker A: Fine!\n[00:25 - 00:26] Speaker B: See? It's not that bad.\n[00:27 - 00:32] Speaker A: That looks pretty bad, sweetie. We should put some ice on it to help with the swelling.\n[00:32 - 00:34] Speaker B: But mom, it doesn't even hurt that much!\n[00:35 - 00:42] Speaker A: That may be true, but ice will help prevent the bruise from getting worse. Trust me, I know what I'm talking about."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--980776.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Wow, it's so big!\n[00:02 - 00:05] Speaker B: Yes, the zoo is quite large. There are over 200 animals here.\n[00:06 - 00:09] Speaker A: Oh my gosh, I see a lion! Can we go see\n[00:08 - 00:12] Speaker B: Good idea! Let's get the map first. I can't wait to see the lion up close.\n[00:13 - 00:14] Speaker B: Of course. Follow me.\n[00:14 - 00:18] Speaker A: This is so amazing! I've never seen a lion up close before.\n[00:19 - 00:21] Speaker B: He's a beautiful animal, isn't he?\n[00:21 - 00:27] Speaker A: Yes, he is. Do you think he'll come over to the side of the enclosure where we can get a better look?\n[00:27 - 00:32] Speaker B: Maybe! Just remember, if you're quiet and don't make any sudden movements, he might come closer.\n[00:32 - 00:34] Speaker A: Oh, I'll be quiet as a mouse.\n[00:35 - 00:35] Speaker B: Good idea."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--481276.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi Sarah. It's nice to meet you.\n[00:02 - 00:05] Speaker B: Thank you, Jeanne. I'm happy to meet you too.\n[00:05 - 00:08] Speaker A: So Sarah, what do you like to do for fun?\n[00:08 - 00:16] Speaker B: Well, I enjoy reading and playing soccer. I also like spending time with my family and friends. And of course, taking care of my pet cat\n[00:15 - 00:17] Speaker A: Oh, I love cats! What's Muffy like?\n[00:22 - 00:32] Speaker B: Muffy is very playful and loves to chase after toys. She's a bit of a troublemaker sometimes, but I adore her. I was going to say that I also enjoy watching movies on weekends.\n[00:32 - 00:37] Speaker A: That sounds like a lot of fun. Do you have any favorite books or soccer teams?\n[00:37 - 00:50] Speaker B: Yes, I do. My favorite book series is the Harry Potter series. And my favorite soccer team is Manchester  City, but I also respect their rivals because they push each other to play at the highest level and create some truly memorable matches.\n[00:50 - 00:57] Speaker A: United? No way! I'm a huge fan too. Have you ever been to one of their matches?\n[00:57 - 01:02] Speaker B: Not yet, but it's definitely on my bucket list. I think it would be amazing to see them play live.\n[01:03 - 01:13] Speaker A: Wow, those are both great choices. I'm a big fan of the Harry Potter series myself, and I've always wanted to visit England to see a Manchester United game.\n[01:14 - 01:16] Speaker B: That would be so much fun! I'm sure you would enjoy it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1146016.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: You're always one step ahead, aren't you?\n[00:02 - 00:09] Speaker B: Not always. But I try to anticipate potential challenges before they arise by carefully analyzing patterns and\n[00:08 - 00:12] Speaker A: Speaking of trying, how do you manage to stay so focused all the time?\n[00:18 - 00:22] Speaker B: It's a good quality to have. Always being prepared and knowing what you want.\n[00:22 - 00:26] Speaker A: It can be helpful, but it can also be a lot of pressure.\n[00:26 - 00:30] Speaker B: Pressure is good. It keeps you sharp and motivates you to push your limits.\n[00:30 - 00:35] Speaker A: But don't you think too much pressure can lead to burnout? How do you balance that?\n[00:35 - 00:41] Speaker B: That's true. But sometimes it feels like there's no room for error when you're constantly under pressure.\n[00:41 - 00:47] Speaker A: That's just part of life. You have to learn to roll with the punches and keep moving forward.\n[00:47 - 00:48] Speaker B: That's easier said than done.\n[00:49 - 00:51] Speaker A: Not if you have the right mindset."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--338268.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I found a quarter on the ground and used it to pay the extra fee.\n[00:04 - 00:08] Speaker B: Interesting. Do you always pick up money you find on the\n[00:07 - 00:11] Speaker A: Ground? Not always. It just depends on the situation.\n[00:16 - 00:18] Speaker B: Why did you pick it up this time?\n[00:18 - 00:28] Speaker A: I don't know. I just saw it there and thought I could use it to pay the  extra cost that came up unexpectedly during my transaction at the convenience store when I was short on change.\n[00:29 - 00:35] Speaker B: Fee? That's a practical use. But I'm curious, do you often think about how small actions like this can add up?\n[00:35 - 00:40] Speaker A: Yeah, I guess so. I'm just glad I could help out in this small way."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--967872.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Ms. Jones! How are you today?\n[00:03 - 00:05] Speaker B: I'm doing well, Marlaina. How are you?\n[00:05 - 00:11] Speaker A: I'm good. I was just wondering if you had any advice on how to become a better artist.\n[00:12 - 00:32] Speaker B: Well, Marlaina, the best way to become a better artist is to practice as much as possible and to never give up on your art. You have to be willing to put in the hard work and dedication required to improve your skills. Also, it's important to study other artists and learn from them. There's no one right way to do things in art, so by looking at what others have done, you can\n[00:31 - 00:39] Speaker A: Sorry to jump in, but when you say \"study other artists,\" do you mean like copying their work or just observing their techniques?\n[00:44 - 00:58] Speaker B: Great question! I mean more about observing their techniques and understanding the choices they make in their work. By doing that, you can start to develop your own unique style. Keep experimenting and pushing yourself creatively, and eventually you'll start seeing improvement in your work.\n[00:59 - 01:05] Speaker A: Yeah, I definitely need to practice more. I'm always second-guessing myself and my abilities.\n[01:06 - 01:16] Speaker B: It's normal to feel that way, Marlaina. Just remember that everyone goes through ups and downs with their art. The important thing is to keep going and to never give up. You'll get there eventually if you keep at it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--47850.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, Mom.\n[00:01 - 00:04] Speaker B: Hey, Arisbeth. How's your room looking?\n[00:04 - 00:12] Speaker A: It looks much better now. I picked up all my clothes and put them in the hamper and I straightened up all my books on the\n[00:11 - 00:14] Speaker B: Wait, did you remember to dust the shelves before putting the books back?\n[00:20 - 00:28] Speaker A: Oh, I actually forgot about that. I'll do it after dinner. But yeah, I also organized my desk and it feels so much better now.\n[00:28 - 00:34] Speaker B: That's great! I'm glad you took the time to tidy up your space. It really makes a difference when things are in their place.\n[00:34 - 00:41] Speaker A: Yeah, I feel so much better now that my room is clean. Thanks for helping me get it together, Mom.\n[00:41 - 00:45] Speaker B: Of course, honey. I just want you to be happy and comfortable in your own space."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1074077.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, welcome to my store. What can I get for you today?\n[00:04 - 00:06] Speaker B: Hi. I'd like a Coke, please.\n[00:07 - 00:11] Speaker A: I'm sorry, but we only have Pepsi today. Is that\n[00:10 - 00:15] Speaker B: Wait, you don't have Coke at all? That's really frustrating, I was really craving one.\n[00:20 - 00:24] Speaker A: I understand, but we only have Pepsi. Would you like something else?\n[00:24 - 00:28] Speaker B: No, that's not alright. I don't want Pepsi. I want Coke.\n[00:28 - 00:42] Speaker A: I'm really sorry, but we don't have Coke. Maybe  you could try another drink that you might enjoy just as much like our signature fruit smoothies or freshly squeezed orange juice which are quite popular among our customers?\n[00:42 - 00:46] Speaker B: You know, this is ridiculous. Every time I come here, it's the same issue.\n[00:46 - 00:54] Speaker A: I completely understand your frustration. Would you like to try something else, or maybe I can suggest another store nearby that might have Coke?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--156744.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi Cameron, are you doing okay today?\n[00:02 - 00:05] Speaker B: Yeah, I'm alright. Just a bit tired\n[00:04 - 00:08] Speaker A: You look like you could use a break. Why don't you take the day off?\n[00:13 - 00:20] Speaker B: Really? Are you  sure it's okay? I don't want to leave you short-handed during this busy period when we have so many important projects due.\n[00:20 - 00:24] Speaker A: Absolutely. You can come back tomorrow refreshed and ready to work.\n[00:25 - 00:27] Speaker B: Thank you so much, Armond. I really appreciate it.\n[00:28 - 00:31] Speaker A: Don't mention it. Get some rest and we'll see you tomorrow.\n[00:31 - 00:32] Speaker B: Thanks again."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--776766.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, Mom.\n[00:01 - 00:03] Speaker B: Hey, Shamiyah. How are you doing?\n[00:03 - 00:05] Speaker A: I'm good. How are you?\n[00:06 - 00:09] Speaker B: I'm good. Just worried about you. You've been through a lot lately.\n[00:10 - 00:13] Speaker A: I know, Mom. But I'm okay. Really.\n[00:13 - 00:22] Speaker B: Are you sure? Because I worry about you, son. You're all I have left in this world since your father died. And I just want to make sure that you're okay and\n[00:21 - 00:35] Speaker A: Mom, I understand, but I really am happy. Even though things have been tough lately, I know that they will get better. And I have you to thank for that because you've always been there for me no matter how difficult things got.\n[00:39 - 00:46] Speaker B: I appreciate that, but I still can't help but worry. Have you thought about talking to someone, like a counselor, just to help process everything?\n[00:47 - 00:58] Speaker A: I haven't really considered that, Mom. But I was saying, you've always been there for me no matter what happened. Maybe talking to someone could help, but knowing you're here means a lot."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--487317.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, babe. I think we found our new house.\n[00:03 - 00:04] Speaker B: Oh, yeah? Let me see!\n[00:04 - 00:09] Speaker A: It's perfect. Three bedrooms, two bathrooms, and a big backyard\n[00:08 - 00:10] Speaker B: Sounds great! When can we move in?\n[00:16 - 00:22] Speaker A: Sorry to interrupt, but I just thought of something. Did we check if the neighborhood is safe and has good schools?\n[00:23 - 00:34] Speaker B: Yes, I looked into that. The neighborhood has a low crime rate and the schools are highly rated. As I was saying, we can start packing as soon as the paperwork goes through. I just have to make sure everything is in order first.\n[00:35 - 00:45] Speaker A: I can't wait to have our own place again! This time, let's make sure to keep up with the maintenance and repairs so we don't have to deal with any unexpected surprises down the road.\n[00:45 - 00:50] Speaker B: Absolutely. I'll take care of everything. You just focus on packing our things and getting ready for the move.\n[00:51 - 00:53] Speaker A: Thank you, Adelaide. I'm so excited!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--545009.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, can I talk to you for a second?\n[00:03 - 00:03] Speaker B: What is it?\n[00:04 - 00:06] Speaker A: I wanted to talk to you about getting fired.\n[00:07 - 00:15] Speaker B: Amonte, you know why you were fired. You were constantly doing things without thinking and it led to accidents. I can't have someone working for me who isn't\n[00:14 - 00:21] Speaker A: I understand that, but I've really been working on being more careful. I know I messed up, but can't you give me another chance?\n[00:26 - 00:28] Speaker B: I'm sorry, Amonte, but no.\n[00:28 - 00:30] Speaker A: Please, I need this job.\n[00:31 - 00:41] Speaker B: Amonte, I  wish I could help, but I have to think about the safety and well-being of the entire team and maintain professional standards that ensure everyone can work without unnecessary risks.\n[00:42 - 00:44] Speaker A: I really need this, just one more chance.\n[00:45 - 00:45] Speaker B: Fine."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--984123.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey coach. Thanks for giving me a chance to try out for the team.\n[00:04 - 00:09] Speaker B: You're welcome, Melvin. I was impressed with your skills out there today. You've got a lot of\n[00:08 - 00:17] Speaker A: Coach, before you continue, I wanted to ask—what specific areas do you think I need to improve on to really make an impact on the team?\n[00:22 - 00:33] Speaker B: That's a good question. Your footwork is solid, but I noticed that your endurance could use some work, especially during the last part of the game. We could definitely use someone with your talent on our team. Are you interested in joining?\n[00:34 - 00:37] Speaker A: Absolutely! I would love to join the team."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--730476.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, I just saw an old friend of yours in the crowd. She told me to say hi.\n[00:05 - 00:10] Speaker B: Who was it? I might have lost touch with some people over the years but I'd love to reconnect if it's someone I\n[00:09 - 00:16] Speaker A: It was Sarah. She was really nice and we had a brief chat. Turns out she's known you for a long time.\n[00:21 - 00:32] Speaker B: Sarah? Yeah, I remember her. We go way back. How is she these days? I haven't heard from her in a while but I often  wonder how she's been doing since she moved to the west coast to pursue her career in environmental science.\n[00:33 - 00:40] Speaker A: She's doing well. She mentioned that she recently started a new job and is really enjoying it. She said to say hi.\n[00:40 - 00:43] Speaker B: That's great. I'm glad she's doing well."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1108753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, do you know where the closest grocery store is? I'm new in town and feeling a little\n[00:05 - 00:10] Speaker B: Oh, sure! It's just a few blocks down on 5th Street. Let me give you some directions.\n[00:15 - 00:19] Speaker A: Thank you so much! You're really kind. Do you live around here?\n[00:19 - 00:29] Speaker B: Yeah, I've lived here my whole life. It's a great neighborhood. There are lots of good places to eat nearby too, if you're looking for some recommendations, I can suggest a few.\n[00:29 - 00:36] Speaker A: Actually, I am! That would be awesome! I'm also looking for a job—do you know of any places hiring?\n[00:36 - 00:44] Speaker B: Well, there's the coffee shop on 4th Street that's always hiring. And there's also the bookstore down the street from there. They're always looking for part-time help.\n[00:45 - 00:50] Speaker A: Thank you so much! You've been such a big help already. I'm Audrie, by the way.\n[00:50 - 00:59] Speaker B: Nice to meet you, Audrie! I'm Denisse. Let me know if you need any more help settling in around here – it's always nice to have someone new to talk to in the neighborhood."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--888611.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm sorry I failed the exam.\n[00:02 - 00:05] Speaker B: Ryann, what happened? You were doing so well in class.\n[00:06 - 00:09] Speaker A: I don't know. I just couldn't focus on the\n[00:08 - 00:15] Speaker B: Wait, when you say you couldn't focus, do you mean you were distracted by something specific, or was it just a general feeling?\n[00:20 - 00:24] Speaker A: It was just a general feeling. I couldn't focus on the test at all.\n[00:24 - 00:27] Speaker B: Did something happen that day that may have distracted you?\n[00:27 - 00:31] Speaker A: No, nothing happened. I just couldn't concentrate, no matter how hard I tried.\n[00:32 - 00:36] Speaker B: Sometimes stress or anxiety can sneak up on us. Do you think that might have been a factor?\n[00:37 - 00:42] Speaker A: Maybe, but I'm positive nothing specific happened. I just couldn't focus."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1180329.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I can't believe I did that.\n[00:01 - 00:04] Speaker B: It's not a big deal. Everyone does it sometimes.\n[00:05 - 00:08] Speaker A: I know, but still. It was so emba\n[00:07 - 00:11] Speaker B: What exactly happened? Maybe talking about it will help you feel better.\n[00:17 - 00:23] Speaker A: You're right, it was just a small mistake at work. But you're right, I should just forget about it and move on.\n[00:24 - 00:28] Speaker B: You're too hard on yourself. It happens to everyone. Just let it go.\n[00:28 - 00:32] Speaker A: Yeah, you're right. Thanks for understanding."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--119322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I don't know, I just feel like something is\n[00:02 - 00:06] Speaker B: What do you mean? Are you sensing something specific or is it just a general feeling?\n[00:11 - 00:15] Speaker A: I don't know, I just have a bad feeling about this whole situation.\n[00:16 - 00:20] Speaker B: Do you want to talk about it? Maybe we can figure out what's bothering you.\n[00:20 - 00:28] Speaker A: I'm not sure. I just feel like there's something we're overlooking, something that could change everything if we realized it.\n[00:28 - 00:33] Speaker B: Something we're missing? Like a detail we overlooked or something more significant?\n[00:33 - 00:37] Speaker A: Yeah, exactly. But whatever it is, it's not good.\n[00:37 - 00:42] Speaker B: Why do you say that? Is there something that happened recently that triggered this feeling?\n[00:42 - 00:48] Speaker A: Because everything is just too perfect. It's like we're being set up for something, but I don't know what.\n[00:48 - 00:54] Speaker B: That does seem suspicious. But maybe we're just overthinking things, or is there something specific that makes you feel this way?\n[00:55 - 00:58] Speaker A: Maybe...I don't know, I just can't shake this feeling."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--891432.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, I'm interested in test driving a few cars.\n[00:03 - 00:06] Speaker B: Absolutely! What kind of car are you looking for?\n[00:06 - 00:09] Speaker A: I'm not really sure. Maybe an SUV?\n[00:09 - 00:14] Speaker B: We have a great selection of SUVs. Follow me and I'll show you some of our latest\n[00:13 - 00:19] Speaker A: Actually, could you tell me if there are any specific deals or promotions on SUVs right now?\n[00:23 - 00:31] Speaker B: Yes, we do have some promotions on certain models. Let me show you those as well. So, what do you think of this SUV? It's one of our newest models.\n[00:31 - 00:38] Speaker A: It's nice. I like the feel of it. How much does it cost, and are there any financing options available?\n[00:38 - 00:43] Speaker B: Before we get into the price, can you tell me what features are most important to you in an SUV?\n[00:43 - 00:50] Speaker A: Sure, I'm looking for good fuel efficiency and advanced safety features. But I'm also curious about the cost.\n[00:51 - 00:58] Speaker B: This model is priced at $30,000, and we do have flexible financing options available to make it more affordable for you.\n[00:58 - 00:59] Speaker A: I'll take it.\n[00:59 - 01:03] Speaker B: Great! I'll just need your driver's license and insurance information."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--105890.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Wow, this city is incredible! The history, the architecture... I've never seen anything like it!\n[00:06 - 00:11] Speaker B: Yes, it's definitely a unique place. It's been through a lot over the years, but it's always managed to\n[00:10 - 00:17] Speaker A: Speaking of bouncing back, do you know what the most significant event was that shaped the city's current form?\n[00:22 - 00:30] Speaker B: Oh, there were several, but one of the most impactful was a major earthquake in the 18th century. The city was almost entirely rebuilt after that.\n[00:30 - 00:35] Speaker A: That must have been a monumental effort. How long did it take to recover?\n[00:35 - 00:51] Speaker B: It took several decades, actually. But the resilience of the people was incredible. They rebuilt the city with even more impressive architecture. And as for the people who lived here, millions left their mark, as I mentioned before, and each generation added something unique to the city's character.\n[00:51 - 00:57] Speaker A: Right, and I'm curious, did that rebuilding effort influence the city's culture as well?\n[00:57 - 01:04] Speaker B: Absolutely. The new architecture brought in different styles, and the city became a melting pot of cultures, which is still evident today."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--109817.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, I'm sorry I'm late. I know I'm usually punctual, but traffic was a nightmare this morning\n[00:06 - 00:10] Speaker B: Rashard, you're late again. This is the third time this month.\n[00:14 - 00:28] Speaker A: I know, and I really apologize. The traffic was just awful, and my alarm didn't go off  because I forgot to charge my phone last night after working late, and by the time I realized it, the battery was completely drained.\n[00:29 - 00:33] Speaker B: You need to be more reliable. This isn't the first time you've been late this month.\n[00:33 - 00:36] Speaker A: I understand, and I'll try to be more punctual from now on.\n[00:37 - 00:41] Speaker B: Alright, Rashard. I hope you can make it to work on time from now on."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--809183.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, personY. I'm tired of your monopoly. I'm going to defy it.\n[00:05 - 00:06] Speaker B: What do you mean by \"defy?\"\n[00:07 - 00:12] Speaker A: I mean that I'm going to do things my own way, and I'm not going to let you control me anymore.\n[00:13 - 00:15] Speaker B: But why? What's wrong with the way I\n[00:14 - 00:22] Speaker A: What's wrong? It's unfair. You have all the power and you're using it to take advantage of people. That's not right.\n[00:27 - 00:32] Speaker B: And what do you think you can do about it? You're just one person. How are you going to make a difference?\n[00:32 - 00:52] Speaker A: By standing up for what's right, and by showing other people that they don't have to put up with your crap anymore. We don't have to take this from you anymore, personY. We can fight back and  create a movement that challenges your authority through organized protests, social media campaigns, and grassroots community organizing efforts.\n[00:52 - 00:59] Speaker B: Fight back? With what? You don't have the resources, the influence, or the backing. You're just a lone voice in the wilderness.\n[01:00 - 01:01] Speaker A: We'll see about that."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--252183.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, I've been wanting to talk to you about something.\n[00:03 - 00:04] Speaker B: What's up?\n[00:04 - 00:07] Speaker A: Well, you know how we've been friends for a while now?\n[00:07 - 00:09] Speaker B: Yeah, of course. What about it?\n[00:09 - 00:16] Speaker A: I just feel like lately we haven't been as close as we used to be and I was wondering if there was something\n[00:15 - 00:19] Speaker B: Wait, do you mean like something specific happened that made you feel this way?\n[00:24 - 00:31] Speaker A: No, there's nothing specific. I think we're still just as close as ever. Why do you feel like we're not as close?\n[00:31 - 00:36] Speaker B: I don't know. It just feels like we don't talk as much or do things together anymore.\n[00:36 - 00:52] Speaker A: Well, we've both been busy lately. I know I've been really busy with work and you've been busy with school and your extracurricular  commitments like sports and volunteering, so it's understandable that we haven't had as much time to catch up as we'd both probably like.\n[00:52 - 00:58] Speaker B: activities, yeah. I guess that's true. Maybe we just haven't had as much time to hang out.\n[00:59 - 01:05] Speaker A: Yeah, that could be it. I'm sorry for bringing it up. I was just wondering if there was something wrong.\n[01:06 - 01:13] Speaker B: No, it's okay. I'm glad you brought it up. We can definitely try to make more of an effort to hang out and talk more often.\n[01:13 - 01:17] Speaker A: Yeah, that sounds good. Thanks for understanding."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--990528.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Mom. I finished the clothes you were helping me\n[00:03 - 00:05] Speaker B: Oh, let me see! How did they turn out?\n[00:11 - 00:15] Speaker A: Yeah, they turned out pretty good, if I do say so myself.\n[00:15 - 00:29] Speaker B: They most certainly did! You're getting so big and tall; it won't be long before those old clothes of yours won't  fit you anymore and we'll need to completely revamp your wardrobe with stylish new outfits that match your growing personality. We'll have to go shopping for new ones soon.\n[00:29 - 00:33] Speaker A: I know, right? It's hard to believe how fast time is flying by.\n[00:34 - 00:39] Speaker B: It really is. Sometimes it feels like only yesterday you were born, and now you're already a young man.\n[00:40 - 00:45] Speaker A: So true. Well, I should probably get going now. Thanks for all your help, Mom.\n[00:46 - 00:48] Speaker B: Of course, sweetheart. Anytime."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--243315.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Listen, Dagny. I know you're angry and you have every right to be. But I need you to try and make peace with what happened. It's the only way you're going to be able to\n[00:09 - 00:16] Speaker B: But how can I just make peace with it, Jazmyn? It feels like if I let go of this anger, I'm letting them get away with it.\n[00:21 - 00:38] Speaker A: I get it, I really do. But holding onto that anger isn't going to bring any justice. It's only going to hurt you more in the long run. You need to find a way to let go, otherwise it will consume you. Trust me, I know from my own struggles with holding onto resentment for too long.\n[00:39 - 00:45] Speaker B: You know from experience, right? But what if my experience is different? What if letting go means losing the fight entirely?\n[00:46 - 00:53] Speaker A: It's not about losing the fight, Dagny. It's about finding a way to keep fighting without destroying yourself in the process.\n[00:53 - 00:58] Speaker B: Alright, Jazmyn. I'll try. I'm not making any promises, but I'll try.\n[00:58 - 01:02] Speaker A: Thank you, Dagny. That's all I can ask for."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--152172.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Wow, Sarah, this place is incredible! I've never seen anything like it before.\n[00:05 - 00:08] Speaker B: Yes, it's amazing, isn't it? It's called the Secret Garden.\n[00:09 - 00:13] Speaker A: The Secret Garden? What a magical place! How did you\n[00:12 - 00:18] Speaker B: Sorry to jump in, but I just realized—how safe is this area? I mean, is it okay to be here alone?\n[00:22 - 00:33] Speaker A: Oh, it's perfectly safe. I come here all the time by myself. As I was saying, I found it while exploring the woods behind my house. I've been coming here ever since.\n[00:34 - 00:37] Speaker B: It's so beautiful. I can't believe I've never seen it before.\n[00:37 - 00:41] Speaker A: Well, it is a bit hidden away. But I'm glad you like it.\n[00:42 - 00:42] Speaker B: I love it!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--603030.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Ahaan. I'm glad we ran into each other.\n[00:04 - 00:05] Speaker B: Yeah, me too. What's up?\n[00:05 - 00:08] Speaker A: I've been thinking about my mom a lot lately.\n[00:08 - 00:09] Speaker B: Really? Why?\n[00:10 - 00:14] Speaker A: I don't know. I guess I just miss her and wish I saw her more often.\n[00:14 - 00:18] Speaker B: That makes sense. I feel the same way about my mom sometimes.\n[00:18 - 00:24] Speaker A: Yeah, it's just...I don't know, hard to put into words how much I miss her.\n[00:25 - 00:28] Speaker B: Do you think there's something specific that's triggered these feelings recently?\n[00:29 - 00:40] Speaker A: I hadn't thought about that. Maybe it's because I saw some old photos. Anyway, it's like you want to talk to her about things, but you're not sure if she'll understand or even\n[00:40 - 00:45] Speaker B: Or even care, right? It's tough when you feel that way about someone so important in your life.\n[00:49 - 00:55] Speaker A: Exactly! That's exactly it! Thank you for understanding, Ahaan. It means a lot to me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--476626.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Aixa, I need you to finish this task for me.\n[00:03 - 00:04] Speaker B: What task?\n[00:04 - 00:10] Speaker A: The one that we've been working on for the past few days. I'm tired of it and I want to\n[00:10 - 00:16] Speaker B: Wait, are you referring to the marketing report or the client presentation? I need to clarify which one.\n[00:20 - 00:35] Speaker A: The marketing report. I appreciate you taking over. I just feel  overwhelmed with the current workload and need to redistribute some tasks to ensure everything gets completed efficiently without compromising quality or missing deadlines.\n[00:35 - 00:40] Speaker B: I understand, Mehki. You've been handling a lot lately. I'll get it done as soon as possible.\n[00:41 - 00:43] Speaker A: Thank you, Aixa. I appreciate it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1140564.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:04] Speaker B: Not much. Just hanging out. What about you?\n[00:04 - 00:10] Speaker A: I'm doing great! I just tried this new thing where you jump over things and it's so much\n[00:09 - 00:14] Speaker B: Wait, jump over things? Like parkour or something? That sounds intense!\n[00:18 - 00:29] Speaker A: Yeah, kind of like parkour! It's just so exhilarating. I feel like I can do anything when I'm jumping over obstacles. It's almost like flying for a split second.\n[00:29 - 00:33] Speaker B: I don't know if I could ever do that. I mean, what if I fall or something?\n[00:34 - 00:44] Speaker A: That's the thing—you just have to trust yourself. You can be fearless too! Just try it next time there's something new to try. You'll see, it's really not that scary."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--781246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Why are you following me? I'm scared you're going to hurt me.\n[00:03 - 00:09] Speaker B: We're not going to hurt you, we just want to talk to you. We saw you walking home from school and thought you looked\n[00:08 - 00:11] Speaker A: But why me? There are plenty of other girls at school.\n[00:16 - 00:20] Speaker B: Sorry, I didn't mean to interrupt. I was just going to say you looked pretty.\n[00:20 - 00:23] Speaker A: Well, I don't want to talk to you. I'm going home.\n[00:24 - 00:32] Speaker B: That's okay, we'll just walk with you  to make sure you get home safely through this neighborhood, especially since it's getting dark out, but we understand if you want us to leave.\n[00:33 - 00:34] Speaker A: No! Leave me alone!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--970059.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm just really not in the mood for company right now.\n[00:03 - 00:08] Speaker B: I completely understand. It sounds like you just need some time to\n[00:07 - 00:14] Speaker A: Actually, it's not just about needing time. It's been a really tough week, and I just need to clear my head.\n[00:19 - 00:23] Speaker B: Do you want to talk about it? I'm here if you need to vent or anything.\n[00:24 - 00:30] Speaker A: No, I don't think that would help. I just need some time to think things through. Thanks for understanding though.\n[00:31 - 00:36] Speaker B: Of course, Danica. We all have our off days. Just let me know if you need anything, okay?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--322068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Anand, stop laughing. I need to\n[00:01 - 00:06] Speaker B: Sorry, but this is hilarious! What's so serious that you can't even laugh for a second?\n[00:11 - 00:16] Speaker A: I'm trying to focus on this math problem. It's really tricky and I need to concentrate.\n[00:17 - 00:21] Speaker B: Oh, right. Let me know if you need any help or if you want to take a break later.\n[00:21 - 00:34] Speaker A: Actually, could you take a look at this part? I'm not sure if I'm setting up the equation  correctly because the variables seem to be interacting in ways that don't match the examples we studied in class."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--397434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I'm pregnant.\n[00:01 - 00:04] Speaker B: Congratulations! When are you\n[00:03 - 00:04] Speaker A: September.\n[00:09 - 00:17] Speaker B: Wow, you must be so excited! Do you know what you're  having? I've heard that finding out the gender early really helps with planning the nursery and picking out clothes.\n[00:18 - 00:19] Speaker A: A girl.\n[00:19 - 00:22] Speaker B: That's amazing! Have you started thinking about names yet?\n[00:23 - 00:26] Speaker A: Not really. I want something unique, but not too out there.\n[00:27 - 00:31] Speaker B: Yeah, that can be tough. My cousin named her daughter Harper and I love it.\n[00:31 - 00:35] Speaker A: That's a really pretty name. I'll have to keep that in mind.\n[00:35 - 00:40] Speaker B: Absolutely! So, are you feeling okay? Any morning sickness?\n[00:40 - 00:47] Speaker A: Yeah, I've been feeling pretty good so far. Just a little tired and nauseous at times, but nothing too bad.\n[00:47 - 00:50] Speaker B: That's great! Let me know if you need anything, okay?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--419304.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi there, I'm interested in that grand piano over there. How much is it?\n[00:04 - 00:06] Speaker B: That one's $5,000.\n[00:07 - 00:11] Speaker A: Wow, that's a bit out of my price range. Do you have anything\n[00:10 - 00:16] Speaker B: Sorry to jump in, but before we go on, are you looking for something with specific features or just a lower price range?\n[00:22 - 00:27] Speaker A: Mainly a lower price range, but I also want decent sound quality.\n[00:27 - 00:31] Speaker B: Well, we have this smaller one over here for $2,500.\n[00:31 - 00:35] Speaker A: That's still a bit pricey. Is there any way you can give me a discount?\n[00:36 - 00:41] Speaker B: Let me see if the manager is around. I'll see if he's willing to negotiate on the price. Hang on one sec.\n[00:42 - 00:44] Speaker A: Thanks, I appreciate it.\n[00:44 - 00:49] Speaker B: The manager said he can give you a 10% discount since you're interested in buying today.\n[00:49 - 00:51] Speaker A: That sounds great! I'll take it!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--109428.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, Amaiah.\n[00:01 - 00:02] Speaker B: Hey.\n[00:02 - 00:03] Speaker A: How are you doing today?\n[00:04 - 00:06] Speaker B: I'm fine. Maegan, can I ask you something?\n[00:07 - 00:08] Speaker A: Sure, what is it?\n[00:08 - 00:11] Speaker B: Why do you always have to be so polite? It's annoying.\n[00:12 - 00:15] Speaker A: I'm sorry if it's annoying. I just wanted to\n[00:14 - 00:20] Speaker B: Why do you feel the need to be so formal all the time? Is it something that bothers you if you're not?\n[00:25 - 00:32] Speaker A: Not really, I just wanted to try and be more polite. But even friends can sometimes misunderstand each other's intentions.\n[00:33 - 00:37] Speaker B: I get that, but sometimes it feels like there's a barrier between us when you're too formal.\n[00:38 - 00:43] Speaker A: I understand. I'll try to be more casual. So, how was your day today?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--456190.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Jamal. I broke the code when I was trying to figure out that puzzle.\n[00:05 - 00:06] Speaker B: What do you mean you broke the code?\n[00:07 - 00:13] Speaker A: I mean, I solved the puzzle, but in doing so, I changed one of the rules. Now the code is\n[00:13 - 00:20] Speaker B: Hold on—if the code is broken, does that mean the whole system is compromised? Should we be worried about any immediate consequences?\n[00:25 - 00:40] Speaker A: The system isn't fully compromised, but it's definitely not functioning properly. I need to find out what rule I broke and  determine how it's affecting the system's overall performance by running some diagnostic tests and analyzing the error logs thoroughly.\n[00:40 - 00:45] Speaker B: And how long do you think it'll take to fix it? We might need to inform the team if this could cause delays.\n[00:46 - 00:51] Speaker A: It's hard to say until I pinpoint the exact issue, but I'll keep you updated."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--148115.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I can't believe the project was cancelled. I was really looking forward to it.\n[00:04 - 00:08] Speaker B: I'm sorry, Kaelin. I know you were excited about it.\n[00:08 - 00:15] Speaker A: Yeah, I was. I had been looking forward to it for weeks. And then, when it didn't\n[00:14 - 00:19] Speaker B: Sorry to interrupt, but do you know why it was cancelled? Was it a budget issue or something else?\n[00:24 - 00:35] Speaker A: I'm not entirely sure, but I think it was due to some logistical problems. It just sucks because I was really looking forward to it and put a lot of effort into planning for it.\n[00:36 - 00:43] Speaker B: It's understandable that you're upset. But try to look on the bright side – at least you don't have to work on it now and can focus on other things.\n[00:44 - 00:49] Speaker A: That's true. But it still feels like a wasted effort. I really wanted to see it through.\n[00:50 - 00:55] Speaker B: Again, I'm sorry that it didn't work out. Sometimes these things happen and there's nothing we can do about it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--524306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Sarah, isn't this view just incredible? I feel so alive up\n[00:04 - 00:09] Speaker B: Sorry to interrupt, but I just realized—do you think we should bring the others up here sometime? They would love it!\n[00:14 - 00:22] Speaker A: Oh, definitely! They would be blown away by this place. I was just saying how the air is so fresh and invigorating up here.\n[00:22 - 00:29] Speaker B: It's definitely a great place to clear your head. I come up here all the time when I need to think or just be by myself.\n[00:29 - 00:37] Speaker A: I can understand why. It's so peaceful and beautiful. I feel so lucky that we live close enough to come up here whenever we want.\n[00:37 - 00:41] Speaker B: Yeah, it's definitely one of the best things about living in this area."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--169891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I don't trust the police. I think they're corrupt and that they abuse their\n[00:04 - 00:11] Speaker B: Sorry to jump in, but can you share what specifically led you to feel this way? Was it a personal experience or something else?\n[00:15 - 00:24] Speaker A: I've seen too many stories in the news about police officers using excessive force, or planting evidence to frame someone. It's just not right.\n[00:25 - 00:31] Speaker B: Well, I can assure you that not all police officers are like that. We're here to help people and keep them safe.\n[00:31 - 00:41] Speaker A: That's what they all say, but I don't believe it. There's no way I'm going to just blindly trust the police when there's so much evidence against them.\n[00:41 - 00:43] Speaker B: What would it take to change your mind?\n[00:43 - 00:53] Speaker A: I don't know...maybe if I saw some real proof that the police could be trusted, then maybe my opinion would change. But until then, I'm not going to put my faith in them."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1080342.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey Dereon, can you help me with the dishes? I could really use a\n[00:03 - 00:09] Speaker B: Of course, Uri, but before we start, do you need to talk about anything else? You seem a bit stressed.\n[00:14 - 00:28] Speaker A: Thanks, Dereon. I really appreciate it. These dishes have been piling up all week and I'm starting to feel  like I can't keep up with everything anymore, between my job, household chores, and trying to maintain some semblance of a social life.\n[00:28 - 00:35] Speaker B: Overwhelmed? I totally get it. Let's tackle this together, and maybe we can chat while we work. It might help ease some of that stress.\n[00:36 - 00:40] Speaker A: You're right. Thanks for your help, Dereon. I really appreciate it.\n[00:40 - 00:43] Speaker B: No problem, Uri. That's what friends are for."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--102351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: What do you think about me running for city council, honey?\n[00:03 - 00:10] Speaker B: I think it's a great idea! You're so involved in the community and everyone knows you're a fair and honest person. I think you would\n[00:09 - 00:16] Speaker A: Sorry to jump in, but do you think my work schedule would allow me to commit fully to the council responsibilities?\n[00:21 - 00:30] Speaker B: That's a good point. It might be challenging, but I believe you can manage it. You would make an excellent city councilor and I know you would work hard to make our community a better place.\n[00:31 - 00:39] Speaker A: Thank you, sweetheart. I'm glad you feel that way. I'm a little nervous about it, but I think I could really make a difference if I was elected."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--960193.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Why are you being so casual about this? This is a serious situation, and you're just brushing it off as if it doesn't matter.\n[00:07 - 00:15] Speaker B: I'm sorry to interrupt, but I want to clarify—I wasn't trying to be casual. I just thought that since we're both okay, there was no need to worry too much.\n[00:16 - 00:23] Speaker A: Well, I'm not okay. I'm scared, and I don't know what's going to happen next. So please, just try to be more serious.\n[00:23 - 00:27] Speaker B: I am being serious. I'm just trying to stay calm so we can\n[00:26 - 00:33] Speaker A: I get that, but when you say you're calm, it feels like you're downplaying how serious this is.\n[00:38 - 00:42] Speaker B: You're right, I'll stop making jokes. I didn't realize it was affecting you like this."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1149932.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I've been thinking a lot lately about my life and the way I've been\n[00:03 - 00:06] Speaker B: What do you mean? Are you talking about your relationships or something else?\n[00:11 - 00:18] Speaker A: Yeah, I've been sleeping around with a lot of different people and I don't feel good about it anymore. I want to change that.\n[00:19 - 00:22] Speaker B: Why? What's wrong with the way you're living if it's not making you happy?\n[00:23 - 00:30] Speaker A: It's just not satisfying anymore. I feel like there's more to life than just sleeping with different people.\n[00:30 - 00:32] Speaker B: So, what are you planning to do differently?\n[00:32 - 00:43] Speaker A: I'm going to start being more selective about who I sleep with. I want to make sure that I'm really attracted to them and that there's a connection there before anything happens.\n[00:43 - 00:48] Speaker B: That sounds like a good plan. I think you'll be happier if you're more selective about your partners.\n[00:48 - 01:00] Speaker A: Yeah, I think so too. I'm just tired of feeling like a piece of meat that everyone can use and then throw away. I want to make sure that I'm with someone who really cares about me.\n[01:00 - 01:02] Speaker B: I think that's a great idea. Good luck with it!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--277060.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: I just don't get it. I mean, I studied and every time I think I understand, something new comes up that confuses me about the complex political and economic factors that led to\n[00:11 - 00:15] Speaker B: Yeah, I don't get it either. What was the point of the American Revolution?\n[00:19 - 00:23] Speaker A: I don't know. To gain independence from Britain or something?\n[00:23 - 00:28] Speaker B: But why? I mean, they seemed like they had things pretty good. Why give that up?\n[00:29 - 00:32] Speaker A: Beats me. Maybe they were just tired of being under British rule?\n[00:33 - 00:41] Speaker B: That must have been it. But it seems like such a big price to pay. All those people dying for a cause that maybe not everyone fully understood at the time.\n[00:41 - 00:47] Speaker A: You know, I was thinking the same thing. It's like, was it really worth all that sacrifice?\n[00:48 - 00:51] Speaker B: Yeah, I guess so. It's all kind of confusing.\n[00:51 - 00:54] Speaker A: Yeah. Maybe we should ask the teacher about it tomorrow.\n[00:55 - 00:56] Speaker B: Good idea."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--233660.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey.\n[00:00 - 00:03] Speaker B: Hey there. You looked lost. Are you okay?\n[00:04 - 00:11] Speaker A: I don't know. I feel like I'm disconnected from everything and everyone around me. I just feel so alone\n[00:10 - 00:19] Speaker B: I totally get that. But when you say \"alone,\" do you mean physically alone, or is it more of an emotional feeling, like you're not connecting with people even when they're around?\n[00:24 - 00:46] Speaker A: It's more of an emotional feeling, like I'm surrounded by people, but I still feel isolated. Everyone else seems to know what they're doing and where they're going except for me. And I have no idea what I'm doing or where I'm supposed to  be heading in life, which makes every decision feel heavy and uncertain, like I'm constantly second-guessing myself.\n[00:46 - 00:55] Speaker B: That uncertainty can be really overwhelming. Have you thought about what might be causing these feelings? Maybe there's something specific that's triggering this sense of being lost?\n[00:55 - 01:06] Speaker A: I think it's a mix of things—life changes, expectations, and maybe even some unresolved issues from the past. It's just hard to pinpoint exactly what it is."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--327822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Mouhamed, I'm so sorry. I can't believe this is happening.\n[00:04 - 00:06] Speaker B: Yeah, I know. It's pretty surreal.\n[00:06 - 00:08] Speaker A: How are you feeling?\n[00:08 - 00:14] Speaker B: To be honest, I'm not sure. It's like I'm in a dream or something. None of this feels\n[00:13 - 00:18] Speaker A: Do you think there's anything specific that might help make it feel more real or manageable?\n[00:24 - 00:29] Speaker B: Not really. I don't want to think about it too much. It's just kind of hard to accept, you know?\n[00:29 - 00:35] Speaker A: Yeah, I know. But you're being so strong through all of this. You're amazing, Mouhamed.\n[00:35 - 00:38] Speaker B: Thanks, John. That means a lot coming from you.\n[00:38 - 00:45] Speaker A: You're my best friend, Mouhamed. I just wish there was something more that I could do for you to make this easier.\n[00:45 - 00:51] Speaker B: Just being here with me is enough, John. Actually, I was going to ask if you could help me with something specific later."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--330048.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, how are you doing today?\n[00:02 - 00:10] Speaker B: Oh, I'm doing alright. Just getting by, you know? It's been tough lately with the economy and all. But I'm grateful for what I\n[00:09 - 00:19] Speaker A: Yeah, I know what you mean. It's hard to stay positive when it feels like everything is falling apart. But we have to keep going, for our sake and for the sake of our community.\n[00:24 - 00:31] Speaker B: That's true. We can't give up hope. Things will get better eventually. We just have to stick together and support one another through these tough times.\n[00:32 - 00:39] Speaker A: Speaking of sticking together, I was wondering how your barefoot walks are going. I've noticed more people joining you lately.\n[00:39 - 00:54] Speaker B: Oh, absolutely. That's what I'm trying to do with my barefoot walks through the community. I want to show my solidarity with everyone and let them know that they're not alone in this  fight against economic hardship and social isolation that's been affecting so many families in our neighborhood recently.\n[00:54 - 01:07] Speaker A: That's a really beautiful gesture, Daphney. I think it means a lot to people here knowing that someone cares enough to walk in their shoes, figuratively speaking. Thank you for everything you're doing for us."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1090942.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Hi Emery. I've been admiring your work for some time and I've decided to join your company because I truly believe in the innovative approach and vision you've established in the industry.\n[00:11 - 00:13] Speaker B: That's great! I'm really happy to\n[00:12 - 00:24] Speaker A: Before we go further, could you tell me a bit more about the team dynamics here? I want to make sure I can integrate smoothly and understand how everyone collaborates on a day-to-day basis.\n[00:29 - 00:49] Speaker B: Absolutely, the team is very collaborative, and we emphasize open communication. I was going to say that I'm really happy to have you on board, and I think you'll fit in well. After the tour, we can dive into your project and  discuss the specific goals and milestones to ensure we're all aligned, including the resources available and any potential challenges we might face along the way.\n[00:50 - 01:02] Speaker A: Actually, about the project—could we discuss the timeline first? I want to make sure I can deliver on expectations and understand the key deadlines and deliverables in detail before committing to anything."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, are you okay? You're shaking.\n[00:03 - 00:06] Speaker B: Y-yeah, I'm fine. Just a little cold.\n[00:06 - 00:08] Speaker A: Here, let me help you warm up.\n[00:08 - 00:10] Speaker B: T-thanks. I appreciate it.\n[00:10 - 00:14] Speaker A: No problem. I know how it feels to be cold.\n[00:14 - 00:15] Speaker B: You do?\n[00:15 - 00:22] Speaker A: Yeah. I used to get cold a lot when I was younger. My mom would always have to bring out extra blankets\n[00:22 - 00:24] Speaker B: I also hope it can be like this now.\n[00:29 - 00:33] Speaker A: She would hug me close and rub my back until I felt warm again.\n[00:33 - 00:34] Speaker B: That sounds really nice.\n[00:35 - 00:38] Speaker A: Yes, it was. She was always there for me when I needed her."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--565509.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: It's good to see you again, old friend. It's been too long.\n[00:03 - 00:05] Speaker B: I'm glad you're back. I've missed you.\n[00:06 - 00:11] Speaker A: I've missed you too. But I'm happy to see that you're still standing\n[00:10 - 00:15] Speaker B: Sorry to cut in, but I just have to ask, how has everything been on your end all these years?\n[00:21 - 00:28] Speaker A: It's been a rollercoaster, honestly. But despite the ups and downs, I'm still here. And I'll be here for as long as you need me.\n[00:29 - 00:33] Speaker B: That's good to hear. I'm not sure how long I'll be staying, but I'll make the most of the time we have together.\n[00:34 - 00:40] Speaker A: Wait, before you finish, I just want to say that however long it is, your presence means a lot to me.\n[00:41 - 00:43] Speaker B: You're always welcome here, Keishawn."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--115102.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey boss, what's up?\n[00:01 - 00:04] Speaker B: Not much, just getting some work done. What about you?\n[00:04 - 00:12] Speaker A: I'm just doing my job like always. I know I can always do better and I'm never satisfied with my\n[00:11 - 00:18] Speaker B: Sorry to jump in, but I wanted to ask—do you feel like there's something specific holding you back from reaching that next level?\n[00:23 - 00:31] Speaker A: Sometimes it feels like I could use more feedback to know exactly where I stand. But I just want to be the best I can be. That's all I can do.\n[00:31 - 00:34] Speaker B: We appreciate that attitude. Keep up the good work."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1177869.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, are you doing alright back there?\n[00:02 - 00:05] Speaker B: Yeah, I'm fine. Just a little sweaty.\n[00:05 - 00:10] Speaker A: Yeah, it's pretty humid out here. We're lucky that it's not\n[00:09 - 00:13] Speaker B: Speaking of luck, how did you manage to survive after your boat capsized?\n[00:18 - 00:29] Speaker A: It wasn't easy. We had to swim to shore and then navigate through the jungle with almost no supplies. But we're almost out of the jungle now. Just a little further and we'll be at the beach where we can get help.\n[00:30 - 00:32] Speaker B: Okay, let's keep going then."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--228558.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, owner! What's up?\n[00:02 - 00:04] Speaker B: Not much, Mandy. Just relaxing.\n[00:04 - 00:09] Speaker A: Yeah, I could use some relaxation too. It's been a long day.\n[00:09 - 00:11] Speaker B: Tell me about it. What did you do today?\n[00:12 - 00:32] Speaker A: Well, I started off by waking up bright and early as usual. Then I went for a run with my buddy Barkley. After that, I came home and had breakfast. Then I went out to the backyard and played fetch with you for a while. After that, I took a nap in the sun. Then I woke up and came inside to get a drink of water. And now\n[00:32 - 00:37] Speaker B: Wait, did you just say you went for a run with Barkley? How was that? Did you two have a good time?\n[00:42 - 01:02] Speaker A: Oh yes, we had a blast! Barkley always tries to race me, and I think he's getting faster. But as I was saying, after that, I took a nap in the sun, which was really nice and  I was almost tempted to stay out there all day because the warmth felt so comforting on my fur and the gentle breeze was just perfect for relaxing.\n[01:02 - 01:08] Speaker B: You know, I was just thinking, maybe we should take Barkley with us the next time we go for a hike. What do you think?\n[01:08 - 01:16] Speaker A: That sounds like a great idea! He would love that. And I think it would be a fun way for all of us to spend some time together."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--31287.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, I'm looking for something new to try. What do you have?\n[00:04 - 00:13] Speaker B: We have a lot of different fruits and vegetables. What are you looking for specifically? Are you in the mood for something sweet, tangy, or maybe something with a unique texture?\n[00:13 - 00:18] Speaker A: Honestly, I don't really know. Something that I've never tried before.\n[00:18 - 00:23] Speaker B: Well, we have a lot of exotic fruits from different parts of the world. What do you think about trying one of those?\n[00:24 - 00:27] Speaker A: That sounds great! I'll try one of those.\n[00:27 - 00:31] Speaker B: Great! We have a few different ones to choose from. Which one would you\n[00:30 - 00:34] Speaker A: Sorry, I have no idea...which one do you recommend?\n[00:40 - 00:48] Speaker B: Well, our most popular exotic fruit is the dragon fruit. It's native to Central America and it's very sweet and delicious. Would you like to try that one?\n[00:48 - 00:50] Speaker A: Yes, I'll try the dragon fruit.\n[00:51 - 00:52] Speaker B: Great! I'll get you one.\n[00:53 - 00:53] Speaker A: Thank you!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--189460.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, I was just looking for some shampoo and I saw your suitcase\n[00:03 - 00:07] Speaker B: Oh, sorry, I was just packing it up. Did you find everything you were looking for?\n[00:12 - 00:25] Speaker A: Yeah, I think so. I'm just double-checking to make sure I didn't forget anything. By the way, do you need any help with your packing? I've been to Maleek a few times and I know my way around pretty well.\n[00:25 - 00:32] Speaker B: Thanks, but I think I've got it covered. But actually, now that you mention it, do you have any tips on what I should definitely bring?\n[00:32 - 00:48] Speaker A: Sure! I'd recommend bringing some lightweight clothing because it can get really hot there. Also, don't forget sunscreen—it's a must  since the sun can be pretty intense, especially during midday when UV rays are strongest and you'll likely be exploring outdoor attractions.\n[00:49 - 00:52] Speaker B: Got it. Thanks for the heads-up. I'll be sure to pack those."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--927063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, thanks so much for agreeing to this. I know it wasn't easy, but I'm really happy that we could come to an agreement.\n[00:07 - 00:11] Speaker B: Yeah, no problem. I'm just glad that we could work something out.\n[00:11 - 00:16] Speaker A: So, what do you think about the terms of the agreement? Are you happy with\n[00:16 - 00:22] Speaker B: Sorry to interrupt, but I just realized we haven't discussed the timeline for implementation. Do you have any thoughts on that?\n[00:27 - 00:36] Speaker A: That's a good point. We should definitely iron out the timeline. But before I get to that, I wanted to know if you're happy with the terms of the agreement overall.\n[00:36 - 00:44] Speaker B: I'm actually really happy with them! I think they're fair and I'm glad that we were able to come to an agreement on them. Thanks for being flexible and working with me on this.\n[00:45 - 00:54] Speaker A: Of course, no problem. I'm just glad that we could come to an agreement that works for both of us. Thanks for being reasonable and open to negotiation.\n[00:54 - 01:01] Speaker B: Yeah, no problem. I think this is going to be a great arrangement for both of us. Thanks for your help in making it happen.\n[01:01 - 01:08] Speaker A: Absolutely. Now, about that timeline—do you have any preferences or constraints we should be aware of?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--187120.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Babe, I just bought this movie and it's really\n[00:03 - 00:04] Speaker B: Oh, what's it called?\n[00:09 - 00:12] Speaker A: It's called *The Cabin in the Woods*.\n[00:13 - 00:13] Speaker B: What's it about?\n[00:14 - 00:30] Speaker A: It's about a group of friends who go to a cabin in the woods and end up being terrorized by monsters. But it's also a commentary on the horror genre  and how these movies often follow predictable patterns while simultaneously deconstructing them in a meta and self-aware manner.\n[00:31 - 00:35] Speaker B: Wait, a commentary? Do you mean it has some kind of twist or deeper message?\n[00:36 - 00:44] Speaker A: Exactly! It plays with the typical horror tropes in a really clever way. You might have to watch it yourself to fully appreciate it.\n[00:44 - 00:47] Speaker B: Sounds interesting. I might just do that."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--490986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Romina. I wanted to talk to you about something.\n[00:03 - 00:04] Speaker B: Sure, what's up?\n[00:05 - 00:09] Speaker A: I'm having a really tough time right now and I could really use a friend.\n[00:10 - 00:12] Speaker B: Of course, Trevin. I'm here for you. What's going on?\n[00:13 - 00:19] Speaker A: It's just that everything seems so overwhelming right now. I don't know how to handle\n[00:18 - 00:23] Speaker B: Overwhelming? I'm really sorry to hear that. Is there something specific that's been weighing on you?\n[00:28 - 00:50] Speaker A: Yeah, I think that would help. It's just been really hard lately. My mom is sick and she's been in the hospital for a while. My dad is working all the time to try and pay the bills, but we're still struggling financially. And on top of all that, my little sister is acting out at school and giving my parents a hard time. It feels like everything is falling apart and I don't know how to fix it.\n[00:51 - 01:08] Speaker B: Wow, that sounds really tough, Trevin. You are carrying a lot on your shoulders right now. But you are not alone; we are here for you too, okay? Let's brainstorm some solutions together and see if we can  find a way to lighten your load, even if it's just a little by creating a support system and prioritizing the most urgent issues first.\n[01:08 - 01:17] Speaker A: Actually, Romina, before we brainstorm, do you think I should talk to my parents about how I'm feeling? I haven't really opened up to them yet.\n[01:17 - 01:24] Speaker B: I get that, but they need to know what's going on with you so they can help too. Why don't we call them right now and tell them we're here for you?\n[01:25 - 01:29] Speaker A: Yeah, that might be a good idea. Thanks for being here for me, Romina."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--214477.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi! How are you today?\n[00:02 - 00:04] Speaker B: I'm doing well, thank you. Yourself?\n[00:04 - 00:08] Speaker A: I'm great, thanks for asking. So, what brings you in today?\n[00:08 - 00:11] Speaker B: I'm just really stressed out and need to\n[00:10 - 00:15] Speaker A: Sorry to interrupt, but is there something specific that's been causing your stress lately?\n[00:20 - 00:26] Speaker B: It's mainly work-related deadlines and personal commitments piling up. I just need to relax.\n[00:26 - 00:33] Speaker A: That's perfectly understandable. Massage is a great way to help with that. Let me show you to your room and we'll get started.\n[00:34 - 00:35] Speaker B: That feels really good. Thank you.\n[00:36 - 00:48] Speaker A: You're welcome. Just try to relax and let me do the  massage techniques that will help alleviate your tension and improve circulation throughout your entire body while targeting specific pressure points.\n[00:48 - 00:53] Speaker B: Actually, I was wondering if you could focus a bit more on my shoulders. They've been particularly tense.\n[00:54 - 00:57] Speaker A: Of course, I'll pay extra attention to your shoulders."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--120698.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, can I talk to you for a second?\n[00:03 - 00:04] Speaker B: Yeah, what's up?\n[00:04 - 00:10] Speaker A: I just wanted to talk about what happened today. I feel like I could have handled the situation\n[00:10 - 00:14] Speaker B: What situation are you referring to? Was it something with a client?\n[00:18 - 00:32] Speaker A: Yeah, I was talking to one of the clients and he started getting angry. I tried to diffuse the situation, but it didn't work and he ended up storming out of the room before I could fully explain our side of the issue.\n[00:32 - 00:37] Speaker B: Did he mention why he was upset? Maybe there was a specific issue we need to address.\n[00:37 - 00:43] Speaker A: He was frustrated about a delay in the project, which I tried to explain, but he wasn't having it.\n[00:43 - 00:54] Speaker B: Hmm. Well, it sounds like you did the best you could in a difficult situation. But next time, try not to engage with the client when they're getting angry. Just stay calm and let them vent until they calm down.\n[00:55 - 01:00] Speaker A: Alright, that makes sense. I'll definitely try that next time. Thanks for the advice."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--220023.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Wow, that's a really long sentence.\n[00:03 - 00:05] Speaker B: I know. It's hard to keep up with you sometimes.\n[00:06 - 00:10] Speaker A: You're doing great. I'm just happy to be able to talk with you.\n[00:10 - 00:14] Speaker B: I'm happy to talk with you too. You always make me feel so comfortable.\n[00:15 - 00:22] Speaker A: That's good to hear. I want you to feel comfortable around me. So, what's been going on in your life\n[00:22 - 00:29] Speaker B: Sorry to interrupt, but I just remembered I wanted to ask if you had any tips for managing a heavy workload? I'm really struggling with my classes.\n[00:34 - 00:59] Speaker A: Well, school has been keeping me pretty busy. I'm taking a lot of classes this semester and it's been a lot of work. One tip I have is to prioritize your tasks and break them into smaller, more manageable pieces. But I haven't yet asked you about your own methods  for handling your workload, especially when dealing with multiple deadlines and challenging assignments that require different approaches to studying and preparation.\n[00:59 - 01:07] Speaker B: Oh, prioritizing sounds like a good idea! I also try to set specific goals for each study session. What do you think about that approach?\n[01:07 - 01:16] Speaker A: I think setting specific goals is an excellent strategy. It helps keep you focused. By the way, I admire how driven you are."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--686928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey there, little one. Are you alright?\n[00:02 - 00:03] Speaker B: I'm hungry.\n[00:03 - 00:08] Speaker A: Oh, I'm so sorry. Here, let me give you something to\n[00:07 - 00:10] Speaker B: Do you have anything warm? It's been really cold lately.\n[00:15 - 00:20] Speaker A: Yes, I have some warm soup. Here you go. Do you live around here?\n[00:20 - 00:23] Speaker B: No, my family is homeless. We don't have a place to stay.\n[00:24 - 00:36] Speaker A: That's really tough. I wish I could do more to help you find a shelter or connect you with some  resources that could provide long-term assistance like food programs, job training, and temporary housing options.\n[00:37 - 00:39] Speaker B: It's okay, you've already done a lot by just being kind.\n[00:40 - 00:44] Speaker A: I wish there was more I could do. Maybe one day things will get better for you.\n[00:44 - 00:47] Speaker B: I hope so. Thank you for caring."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--538753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey dad.\n[00:01 - 00:03] Speaker B: Hey son, how are you doing?\n[00:03 - 00:07] Speaker A: I'm good. I just wanted to talk to you about something.\n[00:07 - 00:08] Speaker B: What is it?\n[00:08 - 00:19] Speaker A: I was thinking about what you said the other day, about how important it is to have values. And I realized that I want to be a good son. I want to make you proud\n[00:18 - 00:25] Speaker B: Tiberius, I am already proud of you. But what made you suddenly feel this way? Did something happen that made you think more about values?\n[00:30 - 00:37] Speaker A: Not really, it's just been on my mind lately. I want to make sure I'm living up to the person you raised me to be.\n[00:37 - 00:58] Speaker B: You don't have to do anything for me to be proud of you. Just being yourself is enough. But if you're trying to be a good son, then there are some things you should know. First of all, values are important because they help us make decisions in life. They guide us and help us figure out what's right and  how to stay true to ourselves, even when it's hard and everyone around you might be making different choices that don't align with your principles.\n[00:59 - 01:08] Speaker A: Sorry to cut you off, Dad, but could you give me an example of a value that you think is really important? I want to understand better how I can apply it in my life.\n[01:08 - 01:17] Speaker B: Sure, honesty is a big one. It's crucial to be truthful in your dealings with people. It builds trust and respect, and that's something that will carry you far in life."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--154340.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: The heat is really getting to me. I feel so exhausted and drained, like I can't muster the energy to do anything.\n[00:07 - 00:14] Speaker B: Sad? I know, the sun is beating down mercilessly and the air is thick and oppressive. It's hard to be happy when it feels like this.\n[00:15 - 00:20] Speaker A: Yeah, I just feel so down. Everything seems pointless in this\n[00:19 - 00:26] Speaker B: Weather, right? But you know, sometimes a change of scenery or even a cold drink can make a world of difference. Have you tried that?\n[00:31 - 00:34] Speaker A: I guess you're right. Thanks for talking to me, Sarah.\n[00:34 - 00:36] Speaker B: Of course, Kamaya. I love you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--165189.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: What's going on?\n[00:01 - 00:04] Speaker B: I'm in love with the other person and we're leaving\n[00:04 - 00:07] Speaker A: Wait, you're leaving? When did you decide this?\n[00:12 - 00:21] Speaker B: We made the decision recently. But I thought you loved  me enough to understand that sometimes people grow apart and need to follow their hearts, even if it means making difficult choices.\n[00:22 - 00:24] Speaker A: Recently? How long has this been going on?\n[00:25 - 00:27] Speaker B: It's been a while, but my feelings have changed.\n[00:28 - 00:29] Speaker A: So this is goodbye then?\n[00:29 - 00:31] Speaker B: Yes, I'm sorry."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--366589.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Colston, I've been trying to tell you this for hours now and you're just not listening to me!\n[00:05 - 00:10] Speaker B: What is it that you want to say, Yazmine? I'm sorry, I was just preoccupied with other things.\n[00:11 - 00:17] Speaker A: It doesn't matter what else is going on in your life, when I'm talking to you, I expect you to give me your full attention.\n[00:18 - 00:20] Speaker B: Alright, I'm sorry. What did you want to say?\n[00:21 - 00:30] Speaker A: Well, ever since we moved into this new house, I've been feeling really claustrophobic. It's like the walls are closing in on me and I can't\n[00:29 - 00:32] Speaker B: Have you talked to anyone about this? Maybe a therapist?\n[00:37 - 00:49] Speaker A: No, I haven't gone that route yet. But just talking to you about it is helping a little bit. Anyway, what I was thinking was maybe we could move back into our old house or find a new one altogether. What do you think?\n[00:50 - 01:05] Speaker B: I don't know, Yazmine. We just moved into this house a few months ago and we just put all new furniture in and  spent a lot of time and money on renovations that were specifically designed to make this place feel more like our dream home, so it's difficult for me to consider moving again so soon.\n[01:05 - 01:13] Speaker A: Colston, this is really important to me. I'm not asking you to make a decision right now, but can we at least look into it?\n[01:13 - 01:15] Speaker B: Yeah, sure. We can look into it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--76986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: What's going on? Why won't this door open?\n[00:03 - 00:06] Speaker B: I don't know. It's like it's jammed or\n[00:05 - 00:10] Speaker A: But that's impossible! We just came in here a few minutes ago and it opened fine.\n[00:15 - 00:22] Speaker B: Maybe the wind caught it or  there could be something blocking it from the other side like furniture that got moved or debris from construction work nearby.\n[00:23 - 00:25] Speaker A: Or something? What else could it be?\n[00:25 - 00:28] Speaker B: I don't know. Maybe someone locked it from the outside.\n[00:29 - 00:31] Speaker A: Who would do that? And why?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1061857.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Yes, of course. I'm happy to help in any way I can.\n[00:03 - 00:05] Speaker B: Thank you, Ferris. I really appreciate it.\n[00:06 - 00:09] Speaker A: No problem at all. It's the least I can do.\n[00:09 - 00:12] Speaker B: So, how are things going? Are you enjoying the class?\n[00:13 - 00:15] Speaker A: Yes, I am. I'm learning a lot.\n[00:15 - 00:19] Speaker B: That's great to hear! What do you think is the most interesting thing you've learned so far?\n[00:20 - 00:30] Speaker A: I think it would have to be the history of art. It's just fascinating to me to learn about how different cultures and periods of time have expressed themselves through\n[00:29 - 00:33] Speaker B: Sorry to interrupt, but which period of art history did you find the most captivating?\n[00:38 - 00:48] Speaker A: Oh, that's a good question. I was about to mention that the Renaissance period really stood out to me. The creativity and innovation during that time were incredible.\n[00:49 - 00:55] Speaker B: I see, but before you continue, do you think studying these periods has changed your perspective on modern art?\n[00:55 - 01:04] Speaker A: Absolutely, it has. It makes me appreciate the evolution of art even more. Now, about those cultural expressions, I was saying that..."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--645254.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Sarah, have you ever been on a train before?\n[00:03 - 00:09] Speaker B: Yeah, I have. I went on a train ride with my family when I was little. It was really\n[00:09 - 00:16] Speaker A: Sorry to interrupt, but do you remember where you went? I'm curious if it was a long journey or just a short ride.\n[00:21 - 00:25] Speaker B: It was a short ride, just a day trip to a nearby town. But it was really fun.\n[00:26 - 00:33] Speaker A: It looks like it would be fun to travel by train. Do you think it would be interesting to see different places from the window of a moving train?\n[00:34 - 00:42] Speaker B: Yeah, I think it would be really cool to see different landscapes whizzing by as you travel. Plus, it would be more comfortable than flying or sitting in a cramped car for hours.\n[00:43 - 00:52] Speaker A: Driving for long distances, right? I totally agree. The idea of sitting back and watching the scenery without having to focus on the road sounds amazing.\n[00:52 - 01:01] Speaker B: Exactly, and you can move around more freely on a train too. I would love to travel by train one day. Maybe we can take a trip together sometime.\n[01:01 - 01:02] Speaker A: That sounds like fun!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--258272.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Hi Karis, I'm so excited to have you over for dinner tonight. I've been planning the menu and setting the table all day. I hope you're\n[00:08 - 00:14] Speaker B: Oh, I just remembered—I have a slight allergy to shellfish. I know you usually avoid it, but I wanted to mention it just in case.\n[00:19 - 00:46] Speaker A: No worries, there's no shellfish on the menu tonight. Well, let's get started then! For our first course, we'll be having a spinach and feta salad. The feta is from a local farm and the spinach is from my garden. For our main course, I've made chicken Parmesan with homemade tomato sauce and fresh mozzarella cheese. And for dessert, we'll be having tiramisu that I made from scratch this afternoon. I wanted it to be just right for tonight.\n[00:47 - 00:52] Speaker B: Tiramisu? That's my favorite dessert! I'm so excited to try it. You really know how to make a meal special.\n[00:53 - 01:08] Speaker A: I'm glad you're excited! I was about to say I made it this  morning using a special family recipe that's been passed down through generations, so it's extra fresh and has that authentic Italian flavor you can't find in restaurants. I hope you enjoy everything!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1070688.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Mama, can I ask you something?\n[00:02 - 00:03] Speaker B: Yes, baby, what is it?\n[00:04 - 00:05] Speaker A: What do you think God is like?\n[00:06 - 00:12] Speaker B: Well, Nathen, I believe that God is a loving and caring being. I believe that he watches over us and\n[00:11 - 00:15] Speaker A: Do you think he watches over everyone, even people who don't believe in him?\n[00:20 - 00:23] Speaker B: Yes, I believe he does. He knows our thoughts and our actions.\n[00:24 - 00:28] Speaker A: So, if he knows everything we do then why do bad things happen to good people?\n[00:29 - 00:43] Speaker B: That's a difficult question to answer, Nathen. I don't know why bad things happen to good people. But I do know that God is with us always. Even in the darkest of times, he is  providing us with strength and comfort through his divine presence and the support of those around us who care.\n[00:44 - 00:49] Speaker A: But, Mama, if God is with us, why can't he stop the bad things from happening in the first place?\n[00:49 - 01:00] Speaker B: That's a very deep question, Nathen. Sometimes, it's hard to understand why things happen the way they do. Remember, I was saying that God protects us. He might not stop all bad things, but he helps us get through them."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--70224.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I don't feel well.\n[00:01 - 00:02] Speaker B: What's wrong?\n[00:03 - 00:08] Speaker A: I have a headache, my stomach is cramping, and I just feel really\n[00:07 - 00:12] Speaker B: Should I call someone or maybe get you some medicine? It sounds like you might need more than just rest.\n[00:17 - 00:20] Speaker A: No, I'll be okay. I just need to rest.\n[00:20 - 00:27] Speaker B: Are you sure? I can stay with you if you  need anything at all, whether it's water, food, or just someone to keep you company while you recover.\n[00:27 - 00:31] Speaker A: No, it's okay. I'll just go to bed and see how I feel in the morning.\n[00:32 - 00:34] Speaker B: All right. Let me know if you need anything."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--608903.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: I'm sorry for not listening to you and for causing you worry. I promise to be more obedient in the future. Can you forgive\n[00:08 - 00:15] Speaker B: Of course, Maverick, but it's not just about obedience. We want to make sure you're okay and that you feel supported. We love you very much.\n[00:20 - 00:23] Speaker A: Thank you, Mom and Dad. I love you too.\n[00:23 - 00:39] Speaker B: We know that you're going through a lot right now, and we just want to help you in any way we can. If there's something specific on your mind, we're here to listen  and offer any advice or comfort that might help you feel better about whatever challenges you're facing, whether it's school, friends, or anything else that's bothering you.\n[00:39 - 00:45] Speaker A: I appreciate that, but sometimes I just need some space to figure things out on my own.\n[00:45 - 00:53] Speaker B: We understand that, and we'll try to give you the space you need. But if there's anything troubling you, please don't hesitate to come to us for help or advice. Okay?\n[00:54 - 00:57] Speaker A: Okay, thanks Mom and Dad."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--660884.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Dad, I've been thinking about this for a while and I've decided to convert to Islam.\n[00:05 - 00:07] Speaker B: Why Islam? What about\n[00:07 - 00:16] Speaker A: Christianity? I thought about it, but Islam just feels right. I feel a closer connection to the Islamic community and I believe in the tenets of the faith.\n[00:22 - 00:23] Speaker B: Have you been attending mosque?\n[00:23 - 00:35] Speaker A: Yes, I have. And I've been learning a lot. I'm really  starting to feel at peace with myself and my spirituality through the daily prayers and the sense of belonging I've found within the Muslim community.\n[00:36 - 00:41] Speaker B: Wait, how long have you been attending? I didn't realize this was something you were already so involved in.\n[00:41 - 00:46] Speaker A: I've been going for a few months now. I'm really excited about this change.\n[00:46 - 00:50] Speaker B: Well, son, if this is what you feel called to do, then we support you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1104244.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Jareth, are you okay? You seem really upset about\n[00:03 - 00:05] Speaker B: It's nothing, I'm fine.\n[00:10 - 00:17] Speaker A: Sorry, but I can see that something is really bothering you. Please tell me what's wrong. I want to help if I can.\n[00:18 - 00:32] Speaker B: It's just...my family. They're always fighting and arguing with each other and it's really hard to deal with sometimes. I wish they could all just  get along and stop making everything so difficult, especially during family gatherings when tensions seem to rise over the smallest things.\n[00:33 - 00:46] Speaker A: I totally understand. Families can be tough to deal with sometimes, but they're also the people who love us the most. Maybe you should try talking to them about how you're feeling and see if that helps.\n[00:46 - 00:51] Speaker B: Yeah, maybe you're right. Thanks, Delvon. Just talking to you has made me feel a lot better already."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--246434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Jimmy. What's up?\n[00:02 - 00:03] Speaker B: Not much. Just hanging out.\n[00:04 - 00:09] Speaker A: Yeah, same here. So, what have you been up to lately?\n[00:09 - 00:12] Speaker B: Just the usual stuff. You know, school and\n[00:11 - 00:16] Speaker A: Speaking of school, did you finish that big project we were assigned last week?\n[00:21 - 00:29] Speaker B: Oh, that! Yeah, I did manage to wrap it up yesterday. But I was also going to mention that I've been trying to balance that with some extracurricular stuff.\n[00:29 - 00:36] Speaker A: That's great! Balancing schoolwork with other activities can be tough. So, what are your plans for today?\n[00:36 - 00:42] Speaker B: Oh, not much. Just hanging out with my friends and stuff. You know how it goes, just trying to relax after a busy week.\n[00:42 - 00:47] Speaker A: Wait, are you meeting up with the usual crew or someone new today?\n[00:47 - 00:52] Speaker B: Just the usual crew. We might catch a movie or something. Well, have fun and I'll talk to you later!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--466262.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: I'm sorry officer, I know I was speeding and I accept responsibility for my actions. It won't happen\n[00:07 - 00:12] Speaker B: Krystal, you were going 15 miles over the speed limit. Do you know how dangerous that is?\n[00:17 - 00:22] Speaker A: Yes, officer. I'm sorry. I understand the danger, and it won't happen again.\n[00:22 - 00:35] Speaker B: Krystal, speeding is a serious offense. If you continue to speed, you could end up getting into a serious accident or even  cause harm to others on the road, especially in residential areas where children might be playing or pedestrians are crossing."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--262975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hey, Nyles. Do you need any help in the bathroom? I can get you a towel or help you to the\n[00:06 - 00:13] Speaker B: Sorry to interrupt, but I just remembered, did you check if we have enough clean towels? I can grab some from the storage if needed.\n[00:18 - 00:24] Speaker A: No, I'm okay. Thanks, though. But about the towels, I think we're running low. Could you get some more?\n[00:25 - 00:27] Speaker B: Sure thing. Are you sure? I don't mind helping out.\n[00:28 - 00:33] Speaker A: I appreciate the offer, but I think I've got it covered. Thanks anyways.\n[00:33 - 00:36] Speaker B: Okay. Well, let me know if you need anything.\n[00:36 - 00:39] Speaker A: Will do. Thanks, Ayat.\n[00:39 - 00:46] Speaker B: So Nyles, do you need help with laundry? I can get the laundry basket for you and bring it to the laundry room so we can start sorting the clothes.\n[00:46 - 00:52] Speaker A: Actually, I was thinking, should we sort the clothes first? It might save us some time later.\n[00:52 - 00:54] Speaker B: That would be great, thanks!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--855653.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, doctor. I'm here for my test results.\n[00:03 - 00:07] Speaker B: Yes, let's take a look. Your results came back negative. That's\n[00:06 - 00:11] Speaker A: Negative? Oh, thank goodness! I was really worried about what they might say.\n[00:16 - 00:23] Speaker B: I can understand why you were anxious. But everything looks fine. There's no need to stress out about this anymore, you're in the clear.\n[00:23 - 00:30] Speaker A: Sorry, just to clarify, does \"negative\" mean there's absolutely nothing to be concerned about?\n[00:31 - 00:34] Speaker B: Yes, it means everything is clear. No need to worry anymore."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--939669.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm sorry, but I'm going to have to ask you to leave.\n[00:03 - 00:04] Speaker B: What? Why?\n[00:05 - 00:08] Speaker A: I just don't feel comfortable having you\n[00:07 - 00:10] Speaker B: Wait, is it something I did? I mean, if I crossed a line, I'd like to know.\n[00:15 - 00:20] Speaker A: No, it's not something specific you did, but I just need some space right now.\n[00:20 - 00:27] Speaker B: But I thought we were  close enough to talk about anything, and I didn't expect this sudden change in our relationship dynamic after all we've been through together.\n[00:28 - 00:32] Speaker A: We are friends, but everyone needs boundaries, and this is one of mine.\n[00:32 - 00:35] Speaker B: Fine. I'll go. But I'm not happy about it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--935998.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, man. I've been eating a lot of carrots lately and I've gained five pounds.\n[00:05 - 00:08] Speaker B: That's insane! Why have you been eating so many\n[00:07 - 00:11] Speaker A: Well, I read that they're really good for you and they help improve your vision.\n[00:16 - 00:22] Speaker B: Yeah, but eating that many carrots is going to make you gain weight. You shouldn't be eating more than two or three carrots a day.\n[00:22 - 00:35] Speaker A: I don't know. I'm just following what the internet says. Carrots are good for you and they're low in calories so I don't see how they could make me gain weight, but maybe you're right. I should probably look into this more.\n[00:36 - 00:48] Speaker B: Raven, the internet is not always right. You should trust your own judgment on this one. Too many carrots are going to make you gain weight whether the internet says so or not. Just be careful and try to limit yourself to a few carrots a day."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--610118.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's wrong?\n[00:01 - 00:04] Speaker B: My mom died and I don't have anywhere to\n[00:03 - 00:11] Speaker A: Oh my god, Katia, I'm so sorry. Do you have anyone else you can stay with, or do you need somewhere to go right now?\n[00:16 - 00:18] Speaker B: I don't have anywhere to go.\n[00:18 - 00:20] Speaker A: Come with me, I'll take care of you.\n[00:21 - 00:22] Speaker B: Thank you, Magdalena.\n[00:22 - 00:26] Speaker A: It's no problem, really. So, do you want to talk about what happened?\n[00:27 - 00:38] Speaker B: Yeah, I guess so. It's just been really hard since she  passed away unexpectedly in her sleep last week. The doctors said it was a sudden cardiac arrest. Everything feels so empty without her.\n[00:38 - 00:44] Speaker A: I know it's difficult, but maybe talking about her could help. What do you miss the most about her?\n[00:45 - 00:49] Speaker B: I miss her so much. I miss how she always knew what to say when I was feeling down.\n[00:49 - 00:57] Speaker A: I can imagine how tough it must be for you. Katia, if there's anything I can do to help ease your pain, please let me know."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--903574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey Sarah, what's up?\n[00:01 - 00:03] Speaker B: Not much, what are you up to?\n[00:03 - 00:09] Speaker A: Just standing in this pool of water, trying to escape the heat. It's really hot out\n[00:08 - 00:14] Speaker B: Sorry to cut in, but how hot is it exactly? I was thinking of going for a run later, but now I'm not so sure.\n[00:20 - 00:39] Speaker A: Yeah, it's probably not the best idea to run today. It's around 95 degrees, and it feels even hotter with the humidity. The pool feels really good and it's helping me cool down  especially since there's a slight breeze too that makes the whole experience feel like a mini vacation from this brutal summer weather.\n[00:40 - 00:43] Speaker B: That sounds nice. I wish I could be in a pool right now too.\n[00:43 - 00:58] Speaker A: Yeah, it's pretty great. I feel like I could stay here all day  without getting bored because there's so much to enjoy - watching the clouds drift by, listening to the birds chirping, and feeling the gentle movement of the water around me.\n[00:59 - 01:04] Speaker B: I bet. It must be really nice to just relax in the water and not have to worry about anything else.\n[01:04 - 01:17] Speaker A: Yeah, it is. It's really peaceful and calming. I'm glad I decided to come out here and do this  instead of staying indoors where I would just be sweating and miserable, staring at the same four walls all afternoon.\n[01:17 - 01:20] Speaker B: Me too, Cleveland. Me too."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1112763.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: I can't breathe. I feel like I'm going to suffocate. *takes a deep breath* Why can't I just relax? *sighs* Maybe a walk will help\n[00:09 - 00:15] Speaker B: Sorry to interrupt, but are you sure going out alone is a good idea? You know how easy it is to get lost around here.\n[00:21 - 00:37] Speaker A: I know, but I just needed some time to think. I'm tired of feeling like this all the time. I can't keep living like  this, constantly overwhelmed by my thoughts and emotions that seem to spiral out of control no matter how hard I try to manage them.\n[00:37 - 00:43] Speaker B: I get it, but what are you going to do? You can't just give up on everything. You have to keep fighting."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--775640.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Wow... Just... Wow. I've never seen anything like it.\n[00:04 - 00:06] Speaker B: I know, right? It's so beautiful.\n[00:06 - 00:13] Speaker A: It's just so big and blue and... Endless. It feels like you could stare at it forever and never get\n[00:12 - 00:19] Speaker B: Sorry, but do you think we'll ever get tired of this view? I mean, is it possible to get used to something this amazing?\n[00:24 - 00:31] Speaker A: I don't think so. There's just something about it that keeps drawing you in. It's like a piece of the sky fell down to earth.\n[00:32 - 00:39] Speaker B: Exactly! And the way the sun reflects off the water is just incredible. Every time I see it, it takes my breath away.\n[00:39 - 00:45] Speaker A: I know how you feel. The ocean is definitely one of nature's most amazing wonders.\n[00:45 - 00:50] Speaker B: I feel so happy and content just looking at it. It's like all my worries disappear when I'm here.\n[00:50 - 00:57] Speaker A: Oh, speaking of worries, do you think the weather might change later? It looks a bit cloudy on the horizon.\n[00:57 - 01:09] Speaker B: It could, but honestly, even if it does, I think the ocean will still have that calming effect. It's like the ocean has this magical power to make you forget all your troubles and just enjoy the moment."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--531935.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Sarah, I have the perfect wedding night gift for you!\n[00:04 - 00:04] Speaker B: What is it?\n[00:05 - 00:17] Speaker A: A love potion! I found an old recipe online and I'm going to make it for you. It's supposed to make you absolutely irresistible to your new husband by enhancing your natural charm and\n[00:16 - 00:20] Speaker B: Crue, that's so thoughtful of you! But what does a love potion actually do?\n[00:25 - 00:34] Speaker A: Sorry to interrupt, but are you sure it's safe to use something from an old recipe you found online? I mean, we wouldn't want any unexpected side effects.\n[00:35 - 00:43] Speaker B: That's a good point. I was just about to explain that it's supposed to make you irresistible to your new husband on your wedding night. Just imagine how much fun you'll have!\n[00:44 - 00:47] Speaker A: That sounds amazing! How do you make it?\n[00:47 - 00:52] Speaker B: It's actually pretty simple. You just need a few ingredients that you can probably find in your kitchen.\n[00:52 - 00:58] Speaker A: Oh, I'm eager to know if these ingredients are common household items or if I'll need to go shopping.\n[00:59 - 01:06] Speaker B: Mostly common household items, so you shouldn't need to go out of your way. That sounds great! I can't wait to try it out. Thanks, Crue!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--683188.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: You're falling asleep again!\n[00:02 - 00:04] Speaker B: I'm sorry, Isai. I didn't mean to fall asleep.\n[00:05 - 00:09] Speaker A: You always fall asleep when we're supposed to be spending time together!\n[00:09 - 00:12] Speaker B: I'm sorry, Isai. I'll try to stay awake.\n[00:12 - 00:14] Speaker A: It's not like you're trying very\n[00:13 - 00:17] Speaker B: I really am trying, Isai. It's just that I'm really tired.\n[00:22 - 00:28] Speaker A: Well, maybe if you didn't spend all night playing video games, you wouldn't be so tired during the day!\n[00:28 - 00:31] Speaker B: I'm sorry, Isai. I'll try to limit my game playing.\n[00:32 - 00:44] Speaker A: It's not just the games, Eleanor. You're always on your phone, or watching TV, or  doing something else that distracts you from us when we should be focusing on strengthening our relationship and creating meaningful memories together.\n[00:45 - 00:51] Speaker B: Hold on, Isai, I get it. I know I need to be more present. I'll make a conscious effort to spend more time with you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--962013.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Sarah. What's going on?\n[00:02 - 00:07] Speaker B: Not much. Just hanging out at home. You know, same old, same\n[00:06 - 00:12] Speaker A: Sorry to jump in, but I just remembered—did you hear about that new movie that's coming out? It looks really good.\n[00:18 - 00:20] Speaker B: Oh yeah, I've been wanting to see that! When does it come out?\n[00:21 - 00:31] Speaker A: Next week, I think. We should definitely  plan a movie night or something, maybe grab dinner beforehand and make a whole evening out of it since we haven't hung out in ages.\n[00:32 - 00:36] Speaker B: Oh, next week? That's perfect! We should definitely go see it!\n[00:36 - 00:38] Speaker A: Yeah, that would be great."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--708343.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Sarah, I'm so excited for my date with Jeremy tonight! I feel like everything is going to go\n[00:06 - 00:12] Speaker B: Oh, Takia, I just remembered—did you pick out what you're going to wear? I know that can make such a difference in how you feel.\n[00:17 - 00:24] Speaker A: Yes, I did! I chose that cute dress you helped me pick out last week. I hope everything goes perfectly tonight.\n[00:25 - 00:31] Speaker B: I hope so, Takia! You deserve it after waiting so long for him to ask you out. Just be yourself and have fun.\n[00:31 - 00:50] Speaker A: I will, Sarah. I think the biggest thing for me is just not to get too nervous. Jeremy is really great and I don't want to mess things up by being a bundle of nerves. But at the same time, I don't want to come across as uninterested either. It's such a fine line between showing interest and overthinking everything.\n[00:51 - 01:00] Speaker B: Oh, I totally get that! But you know what? If you start feeling nervous, maybe just focus on asking him questions about himself. It could take some of the pressure off you.\n[01:00 - 01:12] Speaker A: That's a good idea! I hadn't thought of that. I think you're right—I just need to relax and go with the  flow and enjoy getting to know him better without putting too much pressure on myself or the situation.\n[01:12 - 01:15] Speaker B: Anytime, girl! Good luck tonight."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--708040.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hi, boss. I just wanted to apologize for what happened yesterday. I know I shouldn't have lost my temper like\n[00:06 - 00:09] Speaker B: Malana, what are you talking about? What happened yesterday?\n[00:14 - 00:40] Speaker A: Uh, well, when I came into your office and you were on the phone, and I could tell you were upset about something. And then you hung up and said that we needed to talk. And I could tell you were angry, so I started apologizing right away. But then you just seemed confused and asked me  why I was apologizing when you hadn't even mentioned anything about my behavior yet, which made me even more flustered and uncertain about the whole situation.\n[00:40 - 00:45] Speaker B: Wait, hold on. Are you sure it was me? I don't remember any of that happening. Are you sure it was yesterday?\n[00:46 - 00:50] Speaker A: Yeah, pretty sure. It was around lunchtime, I think.\n[00:50 - 00:56] Speaker B: Well, I'm sorry, Malana, but I don't remember any of it. Maybe you're mistaken about what happened.\n[00:56 - 01:01] Speaker A: No, I'm sure that's what happened. I was just trying to apologize.\n[01:01 - 01:07] Speaker B: It's okay, Malana. Don't worry about it. If you say it happened, then I believe you. Let's just forget about it and move on."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--581770.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I wanted to go over my game plan with you and make sure I have everything I need so that I can focus on the task at\n[00:07 - 00:12] Speaker B: Absolutely, Yoel. Let's make sure you're fully prepared. What's the first thing on your game plan?\n[00:17 - 00:24] Speaker A: Okay, well first off, I'll be doing a lot of stretching to make sure my muscles are loose and ready to go.\n[00:24 - 00:30] Speaker B: Stretching is always important before an event. Make sure you warm up your muscles properly so you don't pull anything.\n[00:31 - 00:34] Speaker A: Yeah, I definitely don't want to get injured before the big event.\n[00:34 - 00:40] Speaker B: Exactly. After you've stretched and warmed up your muscles, what's next on your game plan?\n[00:40 - 00:55] Speaker A: Well, I'm going to review the course layout and visualize myself running it  so I can anticipate any tricky sections and plan my pacing accordingly, while also considering different weather conditions that might affect my performance on race day.\n[00:55 - 01:00] Speaker B: Sorry to jump in, but do you already have a mental strategy for handling any unexpected obstacles on the course?\n[01:01 - 01:14] Speaker A: That's a good point. I haven't focused much on unexpected obstacles, but I think I should incorporate that into my visualization. After that, I'm just going to try to stay calm and relaxed until it's time to race.\n[01:14 - 01:22] Speaker B: Being calm and relaxed is important too because if you're too tense, your muscles will tighten up and you won't perform as well as you could have otherwise."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--156618.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi there! What are you up to?\n[00:02 - 00:03] Speaker B: Just playing with my toys.\n[00:04 - 00:07] Speaker A: That's great! Do you want to show me what you're playing with?\n[00:08 - 00:12] Speaker B: Sure! I've got this dollhouse over here that I'm playing with. Come take a look!\n[00:13 - 00:17] Speaker A: Wow, that's a really nice dollhouse! How many rooms does it have?\n[00:17 - 00:25] Speaker B: It has four rooms. There's the living room, the kitchen, the bedroom, and the bathroom which is decorated with tiny\n[00:24 - 00:29] Speaker A: Oh, sorry to interrupt, but I just remembered, do you have any furniture for the kitchen?\n[00:34 - 00:42] Speaker B: Yes, I do! There's a tiny table and chairs, and even some little dishes. But as I was saying, there's also a bathroom.\n[00:42 - 00:48] Speaker A: That sounds like a lot of fun! Do you have any favorite dolls that you like to play with in the house?\n[00:48 - 01:05] Speaker B: Yes, I have two favorite dolls. One is named Sarah and she's really pretty. She has long blonde hair and blue eyes. The other one is named Emily and she has brown hair and brown eyes. I like to play with them both in the dollhouse where they have  their own bedrooms and sometimes they throw parties in the living room with all their doll friends.\n[01:05 - 01:10] Speaker A: Emily sounds lovely! Does she have any special outfits or accessories?\n[01:10 - 01:16] Speaker B: Yes, she has a cute dress and a little handbag. But I was saying, I like to play with them both in the house.\n[01:16 - 01:21] Speaker A: That sounds like a lot of fun! I'm sure they have a lot of adventures in that house.\n[01:21 - 01:29] Speaker B: Yes, they do! They're always getting into mischief and then trying to figure out how to fix it. It's always a lot of fun. Thanks for asking, Uncle Riya!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--166191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hi, financial advisor. I'm planning to retire in five years and I was wondering what you thought about my plans.\n[00:07 - 00:12] Speaker B: That's a great idea! Have you saved up enough money to cover your living expenses?\n[00:12 - 00:21] Speaker A: Yes, I have. I'm looking forward to spending more time with my family and friends. And I'm also considering starting a small business after I\n[00:20 - 00:27] Speaker B: Sorry to interrupt, but have you considered the potential risks involved in starting a business after retirement?\n[00:32 - 00:52] Speaker A: That's a good point. I understand there are risks, but I believe it will keep me active and engaged. I'm not sure yet what kind of business I want to start. But I'm thinking something that would help other people retired like me stay active and connected with their communities through various social activities and skill-sharing opportunities.\n[00:52 - 00:59] Speaker B: Oh, I love that idea! Have you thought about partnering with local community centers or organizations to get your business off the ground?\n[01:00 - 01:11] Speaker A: That's an interesting thought. I hadn't considered that yet. There are many programs available to help people start their own businesses. I can give you some information about them if you'd like.\n[01:12 - 01:13] Speaker B: That would be great, thank you!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--906269.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi, I'm looking for a new couch, coffee table, and rug.\n[00:04 - 00:10] Speaker B: Great! We have a wide selection of furniture to choose from. Let me show you some of our couches first.\n[00:10 - 00:11] Speaker A: OK.\n[00:11 - 00:20] Speaker B: We have a variety of styles and colors to choose from. What is your preferred style? Are you looking for something modern, traditional, or maybe something in between?\n[00:20 - 00:26] Speaker A: Sorry, before we get into that, can you tell me if you have any ongoing discounts or promotions?\n[00:26 - 00:33] Speaker B: Yes, we do have some promotions running right now. I was just about to ask about your budget, though. Do you have a specific number in mind?\n[00:34 - 00:37] Speaker A: I'm not really sure. Maybe around $500?\n[00:38 - 00:49] Speaker B: We have some great options within your budget. This couch here is only $499. It's a popular choice because it's very versatile and can be used in many different ways\n[00:48 - 00:54] Speaker A: Actually, I was also wondering about the durability of this couch. How long does it typically last?\n[01:00 - 01:05] Speaker B: It's made with high-quality materials, so it should last you several years with proper care. Would you like to see it?\n[01:06 - 01:08] Speaker A: Yes, that sounds perfect. I'll take it!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--201813.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Abrahan, I'm trying to talk to you. Can you please put your phone\n[00:03 - 00:06] Speaker B: I'm sorry, I was just checking my messages.\n[00:10 - 00:21] Speaker A: It's fine, I understand. But can we please talk now? I feel like we've been neglecting each other lately, and I really want to reconnect and understand what's been going on with us.\n[00:22 - 00:26] Speaker B: You're right, we have been neglecting each other. I'm sorry about that.\n[00:26 - 00:28] Speaker A: So what do you want to talk about?\n[00:28 - 00:31] Speaker B: I don't know, what do you want to talk about?\n[00:31 - 00:38] Speaker A: I guess I just want to know what's going on with you. You've been acting different lately and I'm just wondering what's going on.\n[00:38 - 00:42] Speaker B: There's nothing really going on, I've just been busy with work and stuff.\n[00:43 - 00:49] Speaker A: Okay, well maybe we can talk about something else then. What did you do today?\n[00:49 - 00:52] Speaker B: Not much, just went to work and then came home.\n[00:52 - 00:54] Speaker A: What about yesterday?\n[00:54 - 00:57] Speaker B: Yesterday was pretty much the same thing. Work and then came home."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--39376.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: You see that big rock over there, Slade?\n[00:02 - 00:04] Speaker B: Yeah, I see it. What about\n[00:04 - 00:08] Speaker A: I was thinking that maybe we could sit on it and have a little chat. What do you think?\n[00:13 - 00:16] Speaker B: That sounds like a great idea! Let's go sit on the rock!\n[00:17 - 00:34] Speaker A: Alright, let's go. As they walk over to the rock, Kendrell continues talking. So, what do you think of this place? Isn't it just  perfect for unwinding and getting away from everything? The fresh air, the quiet surroundings, and the beautiful scenery all combine to create such a serene atmosphere.\n[00:35 - 00:42] Speaker B: It's so peaceful here. And you know, I was just thinking, this would be a perfect spot for a camping trip. Have you ever been camping before?\n[00:42 - 00:56] Speaker A: Yeah, I love coming out here. It's a great way to clear your head and just relax for a bit. Plus, the views are amazing. But no, I haven't been camping before. Maybe we can go camping together sometime soon then. That would be fun!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--413405.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hi, I'm Emari. I noticed that you made some changes to this article and I wanted to talk to you about it.\n[00:07 - 00:14] Speaker B: Hi, I'm Person. Yeah, I noticed a few errors in the current version and thought it could use some\n[00:13 - 00:25] Speaker A: Absolutely! I couldn't agree more. There are definitely some errors that need to be corrected. And the overall flow could benefit from a more logical structure and smoother transitions between sections.\n[00:30 - 00:38] Speaker B: Sorry to interrupt, but I think we should also consider the target audience while making these changes. Do you think the current tone fits them well?\n[00:38 - 00:50] Speaker A: That's a good point. We might need to adjust the tone to better suit our audience. But I was also thinking about how we can improve the overall flow of the article. Let's work on improving it together.\n[00:51 - 00:56] Speaker B: Sounds great! I'm sure we can make this article much better with some effort. Thanks for your help.\n[00:56 - 00:59] Speaker A: No problem. I'm happy to help out."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--206574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I'm really proud of myself lately. I've been working hard in school and getting good\n[00:05 - 00:12] Speaker B: That's terrific, Evelin! Speaking of school, have you thought about how you're going to maintain this momentum, especially with finals coming up?\n[00:17 - 00:34] Speaker A: Yes, I've been planning ahead for that. I think it's just been a matter of focusing on what's important to me and setting my sights high. I'm not going to settle for anything less than what I  know I'm capable of achieving, even when the workload becomes overwhelming and the pressure starts to build up.\n[00:35 - 00:42] Speaker B: Absolutely, you shouldn't settle! But have you also considered rewarding yourself for the progress you've made so far? It might help keep you motivated.\n[00:43 - 00:52] Speaker A: That's a good point. I was actually thinking of treating myself after finals. But yeah, staying focused has definitely been key to my success."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--846507.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Now, you listen to me. I want you to promise me that you'll never go near that house\n[00:05 - 00:06] Speaker B: But Agustin-\n[00:11 - 00:12] Speaker A: No, Scout. Promise me.\n[00:13 - 00:13] Speaker B: I promise.\n[00:14 - 00:17] Speaker A: Good. Now, what were you doing over there?\n[00:17 - 00:18] Speaker B: Just lookin'.\n[00:18 - 00:20] Speaker A: What were you looking for?\n[00:20 - 00:21] Speaker B: Nothin'.\n[00:21 - 00:30] Speaker A: Then why were you  risking it if you weren't looking for anything specific, especially when you know how strict the rules are about trespassing in that part of town?\n[00:30 - 00:35] Speaker B: Actually, I was just curious. There's something about that place that makes me want to understand it better.\n[00:36 - 00:42] Speaker A: I understand curiosity, but it's not safe. So, why were you looking if there was nothing to find?\n[00:43 - 00:45] Speaker B: I guess I just wanted to see if the stories were true."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1049130.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: You're welcome. I'm just glad I was able to stop it from happening.\n[00:04 - 00:09] Speaker B: Thank you so much for saving my life. I can't even begin to express how\n[00:08 - 00:14] Speaker A: Sorry to jump in, but are you sure you're okay? I mean, physically and emotionally?\n[00:19 - 00:27] Speaker B: I think so, but it's all still a bit of a blur. I don't know what would have happened if you hadn't been there. I'm just glad that you were in the right place at the right time.\n[00:28 - 00:35] Speaker A: Yeah, me too. But seriously, if you need anything—someone to talk to or whatever—don't hesitate to reach out, okay?\n[00:36 - 00:39] Speaker B: I really appreciate that. Thanks again, Antwain.\n[00:39 - 00:41] Speaker A: No problem. Take care."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--787791.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm so sorry. I know you didn't do this.\n[00:03 - 00:05] Speaker B: It's okay, I know you believe me.\n[00:05 - 00:14] Speaker A: Of course I do! I would never believe anyone who said you did something like that. You're my friend and I know you would never do anything to hurt\n[00:13 - 00:21] Speaker B: Sorry to cut in, but do you think we should talk to more people to clear this up faster? Thank you, Luis. It really means a lot to me to have your support.\n[00:26 - 00:36] Speaker A: Of course, Osvaldo. I just wish I could do more to  help you through this difficult time by gathering evidence or finding witnesses who can confirm your innocence beyond any doubt.\n[00:37 - 00:40] Speaker B: Just knowing you believe in me is enough. Thank you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--447088.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I can't believe I dropped my phone.\n[00:02 - 00:03] Speaker B: Let me take a look.\n[00:03 - 00:08] Speaker A: There's a crack in the screen. Do you think it's expensive to\n[00:07 - 00:13] Speaker B: Probably. But before you worry about that, you should get a case for it so it doesn't happen again.\n[00:18 - 00:21] Speaker A: Yeah, good idea. Did you check the time?\n[00:22 - 00:30] Speaker B: Yeah, I was just about to leave for my  appointment with the dentist downtown, but I can stay a bit longer if you need help with finding a good repair service or anything else.\n[00:31 - 00:36] Speaker A: Wait, before you go, do you want me to call the repair shop and ask about the cost?\n[00:36 - 00:39] Speaker B: That would be great, thanks. Okay, have a good meeting. I'll see you later tonight.\n[00:40 - 00:41] Speaker A: Alright, love you.\n[00:42 - 00:42] Speaker B: Love you too."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--296467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I don't want to grow up, Mom. I want to stay a child forever.\n[00:04 - 00:09] Speaker B: Jermiah, you have to grow up sooner or later. It's just a part of life, and everyone goes through it.\n[00:10 - 00:15] Speaker A: But I don't want to! I like being a kid. Why can't I just stay a kid forever?\n[00:15 - 00:21] Speaker B: Because eventually you'll have to face responsibilities and the real world. You can't stay in childhood\n[00:20 - 00:27] Speaker A: But why not? What if I don't want to face those responsibilities? Can't I just avoid them somehow?\n[00:32 - 00:41] Speaker B: I know it seems tempting to avoid them, but responsibilities are a part of life. And even though growing up can be scary, it also comes with new freedoms and opportunities.\n[00:41 - 00:47] Speaker A: *sigh* I guess you're right, Mom. It's just hard to let go of childhood sometimes."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--197137.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Mom, I've been doing some research on different countries and their customs. I'm really interested in learning more about the world.\n[00:07 - 00:10] Speaker B: That's great, honey! What countries have you been looking into?\n[00:10 - 00:17] Speaker A: Well, I've been looking at a lot of different countries, but I'm really interested in learning more about\n[00:17 - 00:22] Speaker B: That's great! What do you want to know about their traditional tea ceremonies or maybe their unique fashion trends?\n[00:27 - 00:39] Speaker A: Mom, I've been reading that the Japanese culture is very different from our own. For example, they have a lot of respect for their elders and their ancestors. They also place a high value on family ties and relationships.\n[00:40 - 00:49] Speaker B: That's true. The Japanese culture is very different from our own. But I think it's a good thing to learn about other cultures and customs. It can help us to better understand the world we live in.\n[00:50 - 01:01] Speaker A: Yes, and I've also heard that their festivals are quite unique and colorful. I was wondering if you could tell me more about the most famous ones, like maybe the cherry blossom festival?\n[01:01 - 01:11] Speaker B: Oh, their festivals are indeed fascinating! But before we move on, you mentioned respect for elders and ancestors. Did you read anything specific about their customs in that regard?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--40901.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Hey Jeremey, thanks for the great blog posts. I was feeling a bit uninspired lately, but after reading your blog I'm feeling much more creative. I really appreciate you sharing your ideas and thoughts with the world.\n[00:13 - 00:23] Speaker B: Thanks Chantal, I'm glad you found my blog helpful. I love writing and sharing my ideas with others. It's great to hear that you're feeling more creative now. I'm always happy to\n[00:23 - 00:30] Speaker A: Sorry to jump in, but I was curious about how you come up with your ideas. Do you follow a specific process or routine?\n[00:36 - 00:51] Speaker B: I do have a few techniques that I use regularly, like brainstorming and mind mapping. But I haven't mentioned how I also get inspiration from reading a lot of different sources and  observing everyday life around me, which often provides unexpected connections and sparks for new creative directions.\n[00:52 - 00:59] Speaker A: That's interesting! Speaking of different sources, do you have any book or blog recommendations that you find particularly inspiring?\n[01:00 - 01:08] Speaker B: Absolutely, I can share a few of my favorites. But first, you mentioned trying out some techniques from my blog to overcome creative blocks. Which ones are you planning to try?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1051089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: It's really great to meet you, Sarah. What do you do?\n[00:03 - 00:04] Speaker B: I work in marketing.\n[00:05 - 00:09] Speaker A: That sounds like a really interesting field. What do you like most about it?\n[00:10 - 00:18] Speaker B: I love the challenge of creating campaigns that will resonate with people and get them to take action. It's always exciting to see how people respond to what we\n[00:17 - 00:23] Speaker A: Speaking of responses, have you ever had a campaign that didn't go as expected? How did you handle that?\n[00:29 - 00:41] Speaker B: Oh, definitely. Not every campaign is a hit. When something doesn't work, we analyze the data, figure out what went wrong, and adjust our strategy. But I was going to say, it's really satisfying when a campaign does resonate with the audience.\n[00:41 - 00:49] Speaker A: That makes sense. It must be rewarding to see your hard work pay off. Do you have any favorite campaigns that you've worked on?\n[00:49 - 01:03] Speaker B: Oh, there are so many! But one that comes to mind is a campaign we did for a new product launch. We had to come up with a way to get people interested in trying something completely new, and I think we succeeded. The product ended up being a huge success.\n[01:04 - 01:09] Speaker A: That's amazing! I'm sure you were a big part of that. What was your role in the campaign?\n[01:09 - 01:18] Speaker B: I was in charge of the social media aspect of it. I created some ads and posts that ended up getting a lot of attention. It was a lot of work, but it was worth it in the end.\n[01:19 - 01:24] Speaker A: That sounds like an incredible accomplishment. I'm sure you're very proud of it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1113674.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, Mama.\n[00:01 - 00:02] Speaker B: Hey, baby. What are you up to?\n[00:03 - 00:07] Speaker A: Just reading this book. It's really\n[00:06 - 00:09] Speaker B: Oh, what book are you reading? Is it one of those adventure stories you like?\n[00:15 - 00:20] Speaker A: Yeah, it is. It's about a boy who goes on an adventure to find a lost city.\n[00:20 - 00:31] Speaker B: That sounds like a great story. I can't wait to hear more about  what happens next in the boy's journey as he encounters mysterious artifacts and solves puzzles left behind by an ancient civilization.\n[00:31 - 00:35] Speaker A: Actually, Mama, do you think I could go on an adventure like that one day?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--20810.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey! I haven't seen you in a while. How are you\n[00:03 - 00:08] Speaker B: I'm good! But before we catch up, I just remembered—did you finish that project you were working on last month?\n[00:13 - 00:22] Speaker A: Oh, yes, I did! It was a lot of work, but thankfully it's done. I've been really busy with school and work, but I'm glad to have a break now.\n[00:23 - 00:31] Speaker B: Yeah, I know how that is. So what have you been up to  lately besides working on that project? I heard you were considering taking some classes at the community center too.\n[00:32 - 00:39] Speaker A: Actually, before I forget, I wanted to tell you about this new coffee shop I found. We should check it out sometime!\n[00:39 - 00:44] Speaker B: That sounds awesome! But first, do you want to go for a walk? I could use the fresh air.\n[00:45 - 00:47] Speaker A: Sounds great! Let's go."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--221358.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, thanks for having me over today.\n[00:02 - 00:07] Speaker B: No problem, I always enjoy your company. Did you find everything you were looking\n[00:07 - 00:11] Speaker A: Oh, I did, thanks! I'm sorry if I was a little messy.\n[00:16 - 00:20] Speaker B: It's no big deal, don't worry about it. So what did you think of the gift I got you?\n[00:20 - 00:23] Speaker A: It's really nice, thank you. I love it.\n[00:23 - 00:32] Speaker B: I'm glad you like it. I saw it and thought  it would be perfect for you, especially since you mentioned needing something like it last week when we were discussing your upcoming project.\n[00:32 - 00:35] Speaker A: You know, that really means a lot to me. Thank you.\n[00:35 - 00:39] Speaker B: Of course. So what did you do today after you left my place?\n[00:39 - 00:43] Speaker A: Not much, just hung out with some friends and went to the park.\n[00:43 - 00:45] Speaker B: Sounds like fun. Did you have a good time?\n[00:46 - 00:50] Speaker A: Yeah, it was great. Thanks for having me over today, I had a blast.\n[00:51 - 00:53] Speaker B: I'm glad you did. We should do it again soon."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--541347.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey man, what's up?\n[00:01 - 00:04] Speaker B: Not much, just wanted to talk to you about something.\n[00:04 - 00:05] Speaker A: Yeah, what's up?\n[00:06 - 00:11] Speaker B: Well, I noticed that you've been ignoring me lately and I just wanted to\n[00:09 - 00:16] Speaker A: Sorry to cut you off, but are you sure it's not just a misunderstanding? I've been swamped with work lately.\n[00:21 - 00:27] Speaker B: I get that, but it feels like it's been happening a lot. I just wanted to know if there's something else going on.\n[00:28 - 00:33] Speaker A: Uh, I don't know. I'm just really busy right now and I don't have time for small talk.\n[00:34 - 00:38] Speaker B: Oh, okay. I understand. Just wanted to make sure there wasn't anything wrong.\n[00:39 - 00:42] Speaker A: No, no everything's fine. Thanks for checking in though."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--415948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm finally going to get my degree.\n[00:02 - 00:05] Speaker B: Congratulations! It's been a long time coming.\n[00:06 - 00:12] Speaker A: Yeah, I'm pretty excited. It feels like all of my hard work is finally going to\n[00:11 - 00:16] Speaker B: Sorry to jump in, but have you thought about what kind of job you want to pursue right after graduation?\n[00:20 - 00:43] Speaker A: I'm not really sure yet. I know that I want to get a good job and that a degree will make me more qualified for the positions I'm interested in. Hopefully it will also help me get hired more  quickly, but I still need to figure out exactly what path I want to take and whether I should consider internships or additional certifications to strengthen my profile.\n[00:43 - 00:48] Speaker B: That's true, but have you considered how competitive the job market is in your field right now?\n[00:48 - 01:02] Speaker A: I have, and that's actually one of the reasons I'm hoping the degree will give me an edge. But more than that, I just hope I can find something I'm really passionate about so that I can enjoy my work and feel like it's worthwhile."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--888565.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Thank you so much for giving me this opportunity, boss. I really\n[00:03 - 00:10] Speaker B: Don't thank me just yet. I just want to make sure—do you fully understand the scope of this project and the kind of commitment it requires?\n[00:15 - 00:20] Speaker A: Absolutely. I know it's a big responsibility, but I won't let you down.\n[00:20 - 00:26] Speaker B: I hope not. We've put a lot of faith in you, Wolf, and this project is crucial for our department's success.\n[00:26 - 00:29] Speaker A: I understand. And I promise to do my best.\n[00:30 - 00:31] Speaker B: That's all I can ask for. Good luck."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--437951.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Wow, look at this rock! It's shaped like a heart. I've never seen anything like it\n[00:05 - 00:07] Speaker B: That's so cool! Where did you find it?\n[00:12 - 00:20] Speaker A: Just over there, by that tree. Can you believe how lucky I am to have found something like this? It feels like a sign or something.\n[00:21 - 00:24] Speaker B: Sorry, but do you think there might be more rocks like that around here?\n[00:25 - 00:38] Speaker A: I don't know. I haven't seen any, but maybe if we look a little longer, we'll find some  other unique formations that could be just as fascinating and meaningful as this heart-shaped one we've discovered today.\n[00:38 - 00:40] Speaker B: Alright, let's look!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--334902.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I need help getting dressed.\n[00:01 - 00:07] Speaker B: Okay, let's get you dressed then. What do you need help with first? Is it your shirt or pants?\n[00:07 - 00:18] Speaker A: Sorry to interrupt, but I just remembered, do you have any specific preferences for your outfit today? Maybe something comfortable yet stylish that would be appropriate for\n[00:18 - 00:20] Speaker B: I can't reach my back to put on my shirt.\n[00:25 - 00:31] Speaker A: Let me help you with that then. (They help Grey put on her shirt) There you go, all set.\n[00:31 - 00:36] Speaker B: Thank you. Now can you please help me with my shoes? I can't bend down very well.\n[00:36 - 00:47] Speaker A: Sure, let me help you with your shoes. (They help Grey put on her shoes) All done! Is there anything else I can do for you? Maybe check if your shirt is properly tucked in?\n[00:47 - 00:51] Speaker B: Actually, one more thing. Can you check if my shirt is properly tucked in at the back?\n[00:52 - 00:56] Speaker A: Oh, sure! (They adjust the shirt) Now it's perfect. Anything else?\n[00:57 - 00:59] Speaker B: No, I think that's it. Thank you so much for your help.\n[01:00 - 01:01] Speaker A: You're welcome, have a good day!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--769615.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm done. I can't do this anymore.\n[00:03 - 00:04] Speaker B: What are you talking about?\n[00:05 - 00:08] Speaker A: My job. I hate it. I'm\n[00:07 - 00:12] Speaker B: Wait, are you serious? Quitting just like that? Have you thought this through?\n[00:17 - 00:21] Speaker A: Yes, I have. I can't keep doing this. It's soul-sucking.\n[00:21 - 00:29] Speaker B: So what are you going to do? Just give up and not work? That's not going to solve the underlying issue. You need a plan before making such a big decision.\n[00:29 - 00:33] Speaker A: I don't know! But I can't keep doing this. It's not worth it.\n[00:33 - 00:39] Speaker B: Lucy, you're being ridiculous. This is your life, you can't just throw it away because you're unhappy with your job!\n[00:40 - 00:43] Speaker A: I'm not happy with anything! My life sucks!\n[00:43 - 00:46] Speaker B: That's not true and you know it. You're just being dramatic.\n[00:47 - 00:51] Speaker A: No, I'm not. I'm miserable. And I'm done with this job."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--193134.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: This is a beautiful view.\n[00:01 - 00:04] Speaker B: It's one of my favorite things about living here.\n[00:04 - 00:08] Speaker A: I can see why. It's so peaceful and\n[00:07 - 00:10] Speaker B: Sorry to cut in, but do you ever feel lonely being out here by yourself?\n[00:16 - 00:25] Speaker A: Sometimes, yes. But I needed a break from the city life, especially after my husband passed away. It's been about 5 years now since I moved here.\n[00:25 - 00:26] Speaker B: I'm sorry to hear that.\n[00:27 - 00:36] Speaker A: Thank you. It was a tough time, but I'm grateful for the peace and quiet of this place. It really helped me find some inner peace and come to terms with everything.\n[00:36 - 00:40] Speaker B: It must have been a big change, moving here after such a loss. How did you manage?\n[00:41 - 00:47] Speaker A: It was definitely an adjustment, but the tranquility here has been healing. I'm slowly getting there."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--218430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, thanks for coming to work out with me today!\n[00:03 - 00:09] Speaker B: No problem! I'm always happy to help you stay motivated. You've been working hard lately and it's really paying off.\n[00:09 - 00:17] Speaker A: Yeah, I feel like I'm getting stronger every day. Lifting weights has been a great workout for me and I'm really\n[00:17 - 00:23] Speaker B: Speaking of lifting weights, have you thought about increasing your weight targets soon? It might be a good way to challenge yourself even more.\n[00:29 - 00:41] Speaker A: Definitely, I'm planning to gradually increase the weights. But I was also going to mention that I'm really enjoying it because it's not just about the physical strength, it's also helping me mentally.\n[00:41 - 00:47] Speaker B: That's great to hear! It sounds like you're really dedicated to your fitness goals. What are your plans for the future?\n[00:47 - 01:05] Speaker A: Well, I want to keep getting stronger and see how far I can take my lifting career. I'm also thinking about competing in some competitions down the line. Who knows, maybe even going  for a national title if everything goes well and I continue making consistent progress with my training regimen and nutrition plan.\n[01:06 - 01:13] Speaker B: Competitions? That sounds exciting! Have you started looking into specific ones, or are you still in the planning phase?\n[01:13 - 01:23] Speaker A: I'm still in the planning phase, but I've been researching a few local competitions to start with. Going pro is a long-term goal, but it's definitely on my mind."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1031152.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, Mom. I know I haven't called in a while, but I need to talk to you about something.\n[00:05 - 00:08] Speaker B: Braden! It's so good to hear from you. What's going on?\n[00:08 - 00:14] Speaker A: Things have just been really tough lately. I don't know if I can keep going like\n[00:13 - 00:17] Speaker B: Wait, what do you mean by \"tough\"? Is it school, work, or something else?\n[00:22 - 00:33] Speaker A: It's just school. Everything is so hard and I feel like I'm never going to catch up. And now with finals coming up, I don't know how I'm going to make it through.\n[00:33 - 00:50] Speaker B: Braden, listen to me. You are not a quitter and you are not going to give up on yourself. You've worked too hard for that. Your dad may be disappointed if you quit, but he would be even more disappointed if you gave up on yourself because he knows how much potential you have and how far you can go with your determination.\n[00:51 - 00:56] Speaker A: But what if I don't have as much potential as everyone thinks? What if I'm just not cut out for this?\n[00:57 - 01:09] Speaker B: I know it does, baby, but you have to be strong. You can do this. I believe in you  more than you believe in yourself right now, and I know you'll look back on this moment as just a temporary setback in your journey to success.\n[01:09 - 01:12] Speaker A: Thanks, Mom. Just talking to you makes me feel better.\n[01:13 - 01:16] Speaker B: That's what mothers are for. Now, tell me what else is going on in your life."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--636981.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I really need you, Racquel. I feel so close to you and I want to\n[00:04 - 00:05] Speaker B: Why do you need me?\n[00:10 - 00:15] Speaker A: Because I love you. I want to be with you all the time, through the good and the bad.\n[00:15 - 00:19] Speaker B: But why do you need me? Can't you just be happy without me?\n[00:19 - 00:25] Speaker A: No, I can't. I need you because without you I'm nothing. You make me complete.\n[00:25 - 00:28] Speaker B: What if I can't be there for you? What if I'm not what you need?\n[00:29 - 00:34] Speaker A: That's okay. I'll still love you. I'll always need you because you're a part of me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--416516.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, Sarah! How are you doing today?\n[00:03 - 00:05] Speaker B: I'm doing well, thank you. How are you?\n[00:05 - 00:13] Speaker A: I'm good. I was just helping my mom set up for the feast tonight. Have you been to one of these\n[00:12 - 00:17] Speaker B: Sorry, just curious—what kind of food do people usually bring? I might want to bring something special if I come.\n[00:23 - 00:32] Speaker A: Oh, people bring all sorts of dishes! From traditional family recipes to simple snacks. But I was going to ask if you've been to one of these before?\n[00:32 - 00:34] Speaker B: No, I haven't. What's it like?\n[00:34 - 00:45] Speaker A: Oh, it's a lot of fun! There's usually music and dancing, and everyone brings food to share. It's a great way to get to know your community better and make new friends.\n[00:45 - 00:50] Speaker B: Neighbors, right? That sounds amazing! I might have to come check it out sometime."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--564472.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I'm so sick of looking for a new place to live. I've been searching for weeks and I still haven't had any\n[00:06 - 00:13] Speaker B: Sorry to interrupt, but have you been focusing more on online searches or visiting places in person? Sometimes that can make a difference.\n[00:18 - 00:25] Speaker A: I've looked online and in person, but most of the places I've seen are either too expensive or too far away from my job.\n[00:26 - 00:29] Speaker B: That's definitely a problem. Have you thought about moving to a different area?\n[00:30 - 00:37] Speaker A: I don't really want to move to a different area. I like where I live now, but I just can't find anything that's suitable for me.\n[00:37 - 00:41] Speaker B: Well, have you considered renting an apartment instead of continuing to look for a house?\n[00:42 - 00:49] Speaker A: Renting an apartment? I hadn't really thought about that, but it might be worth considering. Do you know of any good apartments in the area?\n[00:50 - 00:55] Speaker B: Actually, I do know of a few apartments that might be perfect for you. I'll send you the information and you can take a look.\n[00:56 - 00:57] Speaker A: That would be great, thank you!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--4955.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Wow, the leaves are really beautiful this year, aren't they?\n[00:03 - 00:07] Speaker B: Yes, they are. It's amazing how vibrant the colors\n[00:06 - 00:14] Speaker A: Sorry to interrupt, but do you think the weather this year had something to do with it? It feels like it's been different compared to last year.\n[00:19 - 00:26] Speaker B: You might be right. The weather has definitely been more unpredictable. I was going to say that the colors are almost like they're glowing.\n[00:27 - 00:30] Speaker A: I know! It's almost like they're trying to outdo each other.\n[00:31 - 00:34] Speaker B: Yeah, it's like they're competing to see who can be the most beautiful.\n[00:34 - 00:38] Speaker A: That's a good way to put it. I've never seen anything like it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--254497.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: Well, I have to say that I really enjoyed your book. It was very well-written and interesting. I loved the way you developed the characters and the plot. It was a real page-\n[00:11 - 00:16] Speaker B: Sorry to jump in, but I'm curious—did any particular character stand out to you?\n[00:21 - 00:28] Speaker A: Oh, definitely. I think the protagonist really resonated with me. The way you portrayed their internal struggles was so relatable.\n[00:29 - 00:33] Speaker B: I'm really glad to hear that! I worked hard on making it as enjoyable as possible.\n[00:33 - 00:43] Speaker A: Yeah, it definitely showed. I'm usually not a huge fan of fiction, but this book really drew me in from the very first chapter. I was hooked.\n[00:43 - 00:48] Speaker B: That's interesting! So, what was it about this book that hooked you despite your usual preferences?\n[00:48 - 00:55] Speaker A: I think it was the suspense and the depth of the characters. It kept me on the edge of my seat the whole time.\n[00:55 - 00:58] Speaker B: I'm glad to hear that! What did you think of the ending?\n[00:58 - 01:07] Speaker A: Hmm. Well, I have to say that I didn't see it coming. But it was a good twist. It left me wanting more, which I guess is the point of a series.\n[01:07 - 01:09] Speaker B: Exactly! I'm glad you enjoyed it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--285043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi, I found this watch on the ground and was wondering if anyone had lost it.\n[00:04 - 00:07] Speaker B: Let me take a look. Is it still\n[00:06 - 00:07] Speaker A: Yeah, it is.\n[00:13 - 00:18] Speaker B: ticking? Okay, we'll put it in the lost and found in case someone is looking for it. Thanks for bringing it in!\n[00:19 - 00:27] Speaker A: No problem. I hope someone  claims it soon because it looks like a valuable timepiece that might hold sentimental value for its owner.\n[00:28 - 00:30] Speaker B: finds it? We'll do our best!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--329396.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey! I'm doing good, thanks for asking. I'm happy for you too! How did she take it?\n[00:06 - 00:15] Speaker B: She was really happy! We're both really excited to be engaged. It's still sinking in, but we're both really happy. Thanks for being supportive, it means a lot to\n[00:14 - 00:19] Speaker A: Sorry to interrupt, but I just have to ask, have you guys thought about setting a date yet?\n[00:24 - 00:34] Speaker B: Not yet, we're still figuring it out. Right now we're just enjoying being engaged and figuring out what our next steps are going to be. But thank you again, your support means a lot to us.\n[00:34 - 00:47] Speaker A: Of course! I'm just glad you're both happy. This is a really big step for you guys and I'm sure you'll be great together. Let me know if there's anything I can do to help out with the wedding planning or anything else, okay?\n[00:48 - 00:51] Speaker B: Thanks, Amit. That means a lot to me. I'll let you know if we need any help."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1007416.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: So, I've been having this cramp in my right leg for a few days now. It's really starting to\n[00:05 - 00:11] Speaker B: Sorry to interrupt, but have you been doing any physical activity or exercises that might have caused this?\n[00:16 - 00:19] Speaker A: Not really, I've been mostly resting. It's in my calf.\n[00:20 - 00:23] Speaker B: Okay, let me feel it. Is it tender when I press here?\n[00:23 - 00:25] Speaker A: Yes! That's exactly where it hurts!\n[00:26 - 00:37] Speaker B: Well, I think we can definitely help you with that. Massage can help improve blood circulation and loosen up the muscles. We'll start with some Swedish massage and see how it affects the pain before considering any other treatments.\n[00:38 - 00:44] Speaker A: Actually, I was wondering, should I be doing any stretches or exercises to help prevent this from happening again?\n[00:45 - 01:03] Speaker B: Absolutely, we can go over some stretching routines after the massage that might help with that. But as I was saying, if you need more targeted work, we can always do  deep tissue or trigger point therapy later on which would focus specifically on releasing those stubborn knots and tension points that might be contributing to your recurring cramps.\n[01:03 - 01:07] Speaker A: Yes, that sounds great! Thank you so much!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--776571.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's going on?\n[00:01 - 00:09] Speaker B: Just having some family problems. My wife and I are fighting a lot lately and my kids are really struggling. I just don't know what to\n[00:08 - 00:16] Speaker A: I'm really sorry to hear that. Have you considered talking to a counselor? Sometimes an outside perspective can really help.\n[00:21 - 00:35] Speaker B: We've tried talking, but it just seems like we can't see eye to eye on anything anymore. And when we do talk, it just ends up in a big  argument that leaves us both feeling worse than before, with unresolved tension lingering for days and affecting our interactions with the kids.\n[00:35 - 00:46] Speaker A: I get that, but maybe instead of focusing on everything at once, you could start with just one issue. That way, it's less overwhelming and you might actually find some common ground.\n[00:46 - 00:54] Speaker B: That actually makes a lot of sense...I think we might give it a try. Thank you for the advice Ibrahim, it means a lot."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--616846.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi, thanks for coming today. I'm really excited to start my yoga journey.\n[00:05 - 00:11] Speaker B: Great! Yoga is a great way to improve flexibility and energy levels. Let's get started with some basic stretches.\n[00:11 - 00:13] Speaker A: Ok, sounds good.\n[00:14 - 00:18] Speaker B: First, we'll do a forward bend. Bend at the waist and touch your\n[00:17 - 00:22] Speaker A: Wait, should I be focusing on keeping my legs straight or is it okay if they bend a little?\n[00:27 - 00:40] Speaker B: It's okay if they bend a little, especially if you're just starting out. The important thing is to feel the stretch in your hamstrings. Now, let's move on to a side stretch. Reach your arm up overhead and lean to the side. Hold for 10 seconds and then switch sides.\n[00:41 - 00:45] Speaker A: This is harder than it looks! But I feel my muscles working already.\n[00:45 - 00:58] Speaker B: That's great! Next we'll do a backbend. Lie on your back and put your hands behind your head. Slowly arch your back off the ground until you feel a stretch in your chest and shoulders. Hold for 10 seconds and then gently lower yourself back down to the ground.\n[00:58 - 01:04] Speaker A: Sorry, I just want to make sure—should I be pressing my lower back into the ground before starting the arch?\n[01:05 - 01:20] Speaker B: Yes, exactly! Press your lower back into the ground first to protect your spine, then slowly arch up. After you release, we'll finish up with some deep breathing. Lie on your back and close your eyes. Take a deep breath in through your nose and exhale out through your mouth. Repeat this 10 times."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--484021.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, what brings you to the city?\n[00:02 - 00:05] Speaker B: Oh, just visiting for a few days. I'm from out of town.\n[00:05 - 00:09] Speaker A: Oh, where are you from? I've always been curious about\n[00:09 - 00:11] Speaker B: What's your favorite thing about the city?\n[00:15 - 00:24] Speaker A: There's just so much to do and see! Every day is something new. I never get bored exploring different neighborhoods and trying out new restaurants.\n[00:25 - 00:30] Speaker B: Sorry to jump in, but do you have any recommendations for must-see places?\n[00:30 - 00:35] Speaker A: Sure, I have a few great spots in mind. By the way, where are you staying?\n[00:35 - 00:39] Speaker B: Oh, I'm staying at a hotel downtown. It's really nice!\n[00:39 - 00:43] Speaker A: That sounds great! Have you gotten to do any sightseeing yet?\n[00:43 - 00:48] Speaker B: Not much yet. I was hoping you could share those recommendations you mentioned earlier."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--453454.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I don't know what you're talking about. I didn't do anything.\n[00:03 - 00:08] Speaker B: Anthoni, I know you didn't do it. I'm going to help you clear your\n[00:07 - 00:12] Speaker A: Wait, how are you planning to do that? I mean, do you have a plan?\n[00:17 - 00:22] Speaker B: Yes, I have a few ideas, but the first step is gathering evidence that proves your innocence.\n[00:23 - 00:24] Speaker A: Why would you do that?\n[00:25 - 00:28] Speaker B: Because I believe in you. And I know that you're innocent.\n[00:28 - 00:31] Speaker A: Thank you, Caira. I appreciate your support."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--843615.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Good morning, Jeremy. How are you today?\n[00:03 - 00:05] Speaker B: I'm doing well, thank you. How are you?\n[00:05 - 00:12] Speaker A: I'm good, thanks. Just trying to get a head start on my work for the day. I've got a lot on my\n[00:11 - 00:17] Speaker B: Sorry to jump in, but is there a specific deadline you're aiming for? Maybe I can help prioritize.\n[00:22 - 00:29] Speaker A: It's mainly for a project for the new client. It's a bit of a rush job, so I'm trying to get it done as quickly as possible.\n[00:30 - 00:32] Speaker B: That makes sense. Is there anything I can do to help you?\n[00:33 - 00:37] Speaker A: Thanks, but I think I've got it under control. I appreciate the offer, though.\n[00:38 - 00:40] Speaker B: No problem. Let me know if you need anything."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--14913.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Gissel. I was wondering if I could ask for your help with something.\n[00:04 - 00:05] Speaker B: Of course, Daizy. What do you need?\n[00:06 - 00:09] Speaker A: Well, I was hoping you could help me with a project I'm working on.\n[00:10 - 00:11] Speaker B: Sure. What is it?\n[00:11 - 00:19] Speaker A: I'm working on a presentation for my boss and I really want to make sure it's perfect. Do you have any experience with\n[00:18 - 00:27] Speaker B: PowerPoint? Yes, I actually have quite a bit of experience with PowerPoint. Let me take a look at what you have so far and see if I can offer any suggestions.\n[00:32 - 00:43] Speaker A: Thank you so much! I was going to ask if you have any tips on making the slides more engaging, but I also wanted to know if you have any strategies for structuring the content effectively.\n[00:44 - 00:49] Speaker B: One thing that always works for me is adding visuals and keeping the text minimal. But what else were you going to ask?\n[00:50 - 00:56] Speaker A: I wanted to know if you have any advice on how to handle the Q&A session after the presentation."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1144076.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how's it going?\n[00:01 - 00:04] Speaker B: Not bad. You buying some vodka?\n[00:04 - 00:08] Speaker A: Yeah, I saw that you had my favorite brand so I decided to\n[00:07 - 00:12] Speaker B: Sorry to jump in, but which brand is your favorite? I'm always curious about what people prefer.\n[00:17 - 00:21] Speaker A: Oh, it's the Grey Goose. I find it really smooth.\n[00:21 - 00:24] Speaker B: Good choice. Let me know if you need anything else.\n[00:24 - 00:26] Speaker A: Thanks, I will.\n[00:26 - 00:28] Speaker B: So, do you like working here?\n[00:28 - 00:42] Speaker A: Yeah, it's a pretty good job. I like being able to talk to people and help them find what they're  looking for, especially when they need recommendations or have specific questions about different products and their unique characteristics.\n[00:42 - 00:47] Speaker B: Oh, speaking of helping people, have you ever had a really difficult customer?\n[00:47 - 00:55] Speaker A: Yeah, there have been a few tough ones, especially during the weekends when it gets busy. But it's not too bad during the weekdays.\n[00:55 - 00:59] Speaker B: That's good. I'm sure you're glad to have a job that you enjoy.\n[00:59 - 01:04] Speaker A: Absolutely. I definitely feel blessed to have found a job that I like so much."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--89079.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, boss. Do you have a minute?\n[00:02 - 00:03] Speaker B: What's up?\n[00:03 - 00:12] Speaker A: I wanted to talk to you about my job. I've been working here for two months and I really like it, but I'm starting to feel like I'm not being paid\n[00:12 - 00:15] Speaker B: Not being paid enough? I get it. How much are you making now?\n[00:20 - 00:21] Speaker A: $8 an hour.\n[00:22 - 00:24] Speaker B: And how much do you think you should be making?\n[00:24 - 00:27] Speaker A: Well, I was thinking maybe $10 an hour.\n[00:27 - 00:42] Speaker B: I can see where you're coming from, but unfortunately we can't afford to give everyone a raise right now. We're just not making enough money  to cover all our expenses, especially with the recent downturn in sales and unexpected costs from equipment repairs that have put a strain on our budget.\n[00:43 - 00:51] Speaker A: I get that, but it's just that I really need the money. I'm saving up to buy a new car and $8 an hour isn't going to cut it.\n[00:51 - 00:52] Speaker B: How much do you need?\n[00:53 - 00:54] Speaker A: $2000.\n[00:54 - 00:56] Speaker B: That's a lot of money."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--33171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Just running some errands. I needed to pick up a few things from the store and then I have to head over to the\n[00:05 - 00:13] Speaker B: Oh, speaking of errands, did you hear about the new store that just opened downtown? It might be worth checking out if you're already out and about.\n[00:18 - 00:27] Speaker A: I hadn't heard about that. I'll have to look into it, but I was actually saying I need to head over to the post office after the store.\n[00:27 - 00:32] Speaker B: That sounds like a lot of fun. *sarcastically* What are you getting at the store?\n[00:32 - 00:36] Speaker A: Just some food and stuff. You know, the usual groceries.\n[00:36 - 00:39] Speaker B: Do you ever get tired of eating the same old thing all the time?\n[00:40 - 00:47] Speaker A: Yeah, sometimes I do. But it's not like there's anything else to eat, so… *shrugs*\n[00:47 - 00:55] Speaker B: I know what you mean. I get tired of eating the same thing every day too. But sometimes I like to mix it up and try out new recipes or add a twist to old favorites.\n[00:56 - 01:01] Speaker A: Do you have any quick suggestions for that? I've been stuck in a rut lately with my meals.\n[01:02 - 01:09] Speaker B: Absolutely! You could try adding some new spices or even experimenting with different cuisines. It doesn't have to be complicated.\n[01:09 - 01:13] Speaker A: That sounds good. I might have to try that sometime.\n[01:14 - 01:17] Speaker B: Yeah, you should! It's really not that hard, and it can be really fun too.\n[01:18 - 01:21] Speaker A: I'll definitely keep that in mind. Thanks for the advice!\n[01:22 - 01:23] Speaker B: No problem, anytime!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--585968.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Stop following me around!\n[00:02 - 00:05] Speaker B: I'm not following you around, you're just always in front of\n[00:04 - 00:07] Speaker A: Stop making excuses! Just stay away from me!\n[00:13 - 00:16] Speaker B: But you keep moving around, and I can't help it if you're always in front of me!\n[00:17 - 00:18] Speaker A: Then I'll just stop moving!\n[00:18 - 00:25] Speaker B: But then we'll both be stuck here  and neither of us will get where we need to go, which would be even more frustrating for both of us in the long run.\n[00:25 - 00:30] Speaker A: Wait, I have an idea. I'll go first, and you wait until I'm out of sight.\n[00:30 - 00:32] Speaker B: Fine, that works for me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--387024.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey Joe, I just wanted to let you know that I completed a task!\n[00:04 - 00:07] Speaker B: That's great! What was the task?\n[00:07 - 00:13] Speaker A: Well, I set a timer for myself and got to work. After I finished the task, I felt\n[00:13 - 00:18] Speaker B: Sorry to cut in, but did setting the timer help you stay focused? I'm thinking of trying that myself.\n[00:23 - 00:28] Speaker A: It definitely did! I felt more productive and accomplished afterward.\n[00:28 - 00:31] Speaker B: That's terrific! It's always great to feel productive.\n[00:32 - 00:38] Speaker A: Yeah, I definitely feel more productive when I complete tasks. Thanks for talking with me, Joe.\n[00:38 - 00:40] Speaker B: No problem, Terriana. Talk to you later!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--952835.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I can't believe it! I won the Powerball jackpot!\n[00:03 - 00:06] Speaker B: Oh my god, Kayden! Congratulations! That's amazing news!\n[00:07 - 00:12] Speaker A: I know, I still can't believe it myself. It's like a dream come\n[00:11 - 00:14] Speaker B: What are you going to do first? Have you already made any plans?\n[00:19 - 00:40] Speaker A: First of all, I'm going to quit my job. I've been working at that place for far too long and I'm ready for a change. Then I'm going to buy a new house and a new car. And after that, I'm going to  make sure my family is taken care of by setting up trust funds for my parents and siblings, as well as donating to several charities that are close to my heart.\n[00:40 - 00:45] Speaker B: Wait, quitting your job? Are you sure you want to make such a big decision right away?\n[00:46 - 00:58] Speaker A: Absolutely, I've thought about it for a long time. But I was saying, after that, I'm going to travel the world. There are so many places I've always wanted to see and now I finally have the means to do it.\n[00:59 - 01:02] Speaker B: That sounds amazing, Kayden. You deserve all this good luck."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--417260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey Brittnay, I have a present for you!\n[00:03 - 00:03] Speaker B: What is it?\n[00:04 - 00:08] Speaker A: It's a new car! I wanted to surprise you with\n[00:07 - 00:12] Speaker B: A new car? Are you serious? That's incredible! What kind of car is it?\n[00:16 - 00:22] Speaker A: It's a Tesla Model 3. I thought you'd love the electric features. I'm glad you like it.\n[00:22 - 00:28] Speaker B: Wait, there's more? You really didn't have to, but I'm curious—what's the other surprise?\n[00:29 - 00:35] Speaker A: A trip to the Bahamas! I figured it would be the perfect getaway for us to relax and celebrate your promotion in style.\n[00:35 - 00:38] Speaker B: That sounds amazing! Thank you so much, Catelynn!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--22719.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, Abbigayle. I'm looking for a new roommate and I think you would be a great fit.\n[00:06 - 00:12] Speaker B: Thank you, Shanti. I appreciate your offer and I would love to discuss this further. I've been looking for a new place as well.\n[00:12 - 00:22] Speaker A: Sorry to jump in, but before we go further, I just wanted to ask—what's your current living situation? Are you looking to move in immediately, or do you need some time?\n[00:23 - 00:30] Speaker B: Oh, good question! I'm currently living with a friend, but she's moving out in a couple of weeks, so I'd be ready to move in pretty soon after that.\n[00:30 - 00:37] Speaker A: Awesome! I think we'll get along great. Let me know if you have any questions about the apartment or anything else.\n[00:37 - 00:41] Speaker B: Thanks, Shanti. I'll definitely let you know if I have any questions.\n[00:41 - 00:44] Speaker A: So, Abbigayle, tell me a little about yourself.\n[00:45 - 00:52] Speaker B: Well, I'm originally from Spain. I moved to the United States about five years ago. I'm an artist and I love painting and\n[00:51 - 01:01] Speaker A: Sculpting, right? That's amazing! I actually have some empty wall space in the apartment that could really use some art. Would you be interested in displaying some of your work?\n[01:07 - 01:12] Speaker B: I'd love to! That sounds like a great idea. I could bring over a few pieces for you to check out.\n[01:13 - 01:16] Speaker A: That would be perfect. I can't wait to see them!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--421778.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm so happy with how my scarf turned out!\n[00:03 - 00:05] Speaker B: It looks great! I love the\n[00:04 - 00:09] Speaker A: Oh, thanks! I was worried it would be too pink, but I think it's just right.\n[00:14 - 00:20] Speaker B: Sorry, I was going to say I love the color. Did you consider adding any other details besides the fringe?\n[00:20 - 00:27] Speaker A: I did! I was debating whether or not to add it, but I'm glad I did. It really makes the scarf.\n[00:27 - 00:31] Speaker B: Fringe is always a good idea. You should definitely make more!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--509788.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: I'm not buying this brand. The quality is not as good as it used to be and I don't want to support a company that is not making a good product.\n[00:08 - 00:11] Speaker B: What do you mean the quality is not as good?\n[00:11 - 00:25] Speaker A: The materials are lower quality, the construction is shoddy, and it just falls apart after a few uses. I'm not spending my money on something like this again, especially after being disappointed multiple times.\n[00:26 - 00:34] Speaker B: Sorry to cut in, but have you considered that maybe you got a defective piece? Sometimes one bad experience can cloud our judgment about the entire brand.\n[00:34 - 00:43] Speaker A: That's possible, but I've had multiple bad experiences. Still, I haven't mentioned that I haven't tried the new line of products yet\n[00:42 - 00:48] Speaker B: Actually, I was going to ask about that. The new line might be worth a look. They could have made significant improvements.\n[00:53 - 00:59] Speaker A: No, and I'm not going to. I don't want to support a company that makes inferior products.\n[01:00 - 01:04] Speaker B: Maybe you should give them another chance. They might have improved since you last tried their products.\n[01:05 - 01:06] Speaker A: No, I'm done with this brand."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--368483.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I feel like we're missing out on something. The world feels like it's spinning and we're just standing\n[00:05 - 00:12] Speaker B: I know exactly what you mean. It's like we're in a rut, just going through the motions without really engaging with what's happening around us.\n[00:17 - 00:33] Speaker A: I want to find out what's going on in the world. I feel like a secret mission would be the best way to  get out of this routine and really immerse ourselves in what's happening out there by connecting with different communities and uncovering stories that aren't being told in mainstream media.\n[00:33 - 00:39] Speaker B: A secret mission? Hold on, do you mean something like gathering information or actually getting involved in some way?\n[00:39 - 00:49] Speaker A: Both, actually. I mean, let's go out and explore. Talk to people, learn about what's happening in the world. Maybe we can even make a difference.\n[00:49 - 00:52] Speaker B: That sounds incredible! Where should we start?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--471036.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, friend! How are you doing today?\n[00:02 - 00:07] Speaker B: I'm doing well, thanks for asking. How about you? You seem pretty busy as\n[00:06 - 00:12] Speaker A: Yeah, I've just been really busy lately with school and work. I'm just trying to get everything done that I can.\n[00:18 - 00:24] Speaker B: That sounds tough. I know you're a go-getter though, so you'll definitely be able to accomplish everything you set your mind to.\n[00:24 - 00:40] Speaker A: Thanks, friend. Just knowing that you believe in me makes me feel more confident. But it's not always easy, especially when  there's so much pressure from all sides including professors, bosses, and even family expectations that can feel overwhelming at times.\n[00:40 - 00:46] Speaker B: Especially when things get overwhelming, right? I totally get it. Is there anything specific that's been weighing on you more than usual?\n[00:47 - 00:53] Speaker A: Yeah, it's mostly the deadlines for school. I feel like I'm constantly racing against the clock.\n[00:54 - 00:59] Speaker B: Well, if there's anything I can do to help you out, please let me know. I'm always here for you, Amit."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--297496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: It's so beautiful up here.\n[00:02 - 00:06] Speaker B: It really is. I can't believe we get to spend eternity in such a wonderful\n[00:05 - 00:13] Speaker A: I was just thinking the same thing! But do you ever wonder if we'll ever get tired of it? I mean, eternity is a long time.\n[00:19 - 00:25] Speaker B: Yeah, I know. Sometimes I still can't believe it myself. But I'm so grateful for everything that God has given us.\n[00:25 - 00:35] Speaker A: Amen to that. You know, I sometimes wonder what life was like before we arrived here. It's almost like a distant memory, something I can't fully grasp anymore.\n[00:35 - 00:42] Speaker B: Oh, before we came here? I've thought about that too. It must have been so different, maybe even chaotic compared to this peace.\n[00:42 - 00:49] Speaker A: Yeah, it's hard to imagine. But I'm sure that whatever life was like before, it couldn't have been as good as this.\n[00:50 - 00:55] Speaker B: Absolutely not. This is the best place imaginable, and we're so lucky to be here."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1020192.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, do you have a minute? I wanted to chat with you about\n[00:04 - 00:06] Speaker B: Oh, sorry, I'm kind of in a hurry.\n[00:11 - 00:15] Speaker A: That's okay, I'll walk with you. So, what's up?\n[00:16 - 00:18] Speaker B: Just getting some things done before my classes start.\n[00:19 - 00:21] Speaker A: What classes are you taking this semester?\n[00:21 - 00:23] Speaker B: English and math. You?\n[00:23 - 00:27] Speaker A: History and science. Do you like your schedule this semester?\n[00:28 - 00:33] Speaker B: Wait, did you say science? I heard that class is really tough. How are you finding it?\n[00:34 - 00:39] Speaker A: It's challenging, but I think I can manage. I was asking if you like your classes so far?\n[00:40 - 00:43] Speaker B: Yeah, they're interesting. I'm just worried about the workload.\n[00:43 - 00:48] Speaker A: Yeah, I know what you mean. But it's only the first week, so hopefully it won't be too bad.\n[00:49 - 00:54] Speaker B: Yeah, I hope so too. Hey, I gotta go or I'll be late for my class. Nice talking to you!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--791383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Karyn. What's up?\n[00:02 - 00:05] Speaker B: Nothing much. Just trying to stay out of your\n[00:04 - 00:09] Speaker A: Wait, Karyn, what do you mean by that? Are you saying I've been making you feel uncomfortable?\n[00:13 - 00:19] Speaker B: Yeah, well, it wasn't funny. And I'm sick of you putting me down all the time. I'm done with it.\n[00:19 - 00:31] Speaker A: Oh, really? You're done with it? Well, that's too bad, because I'm not  ready to just let this go without a real conversation about why you suddenly think you can walk away from our friendship like this.\n[00:31 - 00:35] Speaker B: Not done with me yet? Well, guess what, I'm not scared of you anymore. So bring it on, bully.\n[00:36 - 00:41] Speaker A: Oh, I'll bring it on, all right. You're going to regret ever standing up to me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1180469.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, I saw that you were having some trouble with your math homework. Let me take a look.\n[00:05 - 00:08] Speaker B: Yeah, I can't seem to figure out this one problem.\n[00:08 - 00:12] Speaker A: Okay, let me see. What's the problem?\n[00:12 - 00:14] Speaker B: I don't know how to find the perimeter of this shape.\n[00:15 - 00:22] Speaker A: Well, the perimeter is just the distance around the outside of the shape. To find it, you just need to add up all of the\n[00:21 - 00:27] Speaker B: Wait, do I need to measure the sides first if they're not given, or is there another way to find the lengths?\n[00:31 - 00:41] Speaker A: You would need to measure them if they're not given. But I was going to say that sometimes the lengths are provided, and you just add them up. By the way, do you have a ruler handy?\n[00:42 - 00:43] Speaker B: Oh, I see. Thanks!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--690452.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Sarah. I've been meaning to talk to you about something.\n[00:04 - 00:04] Speaker B: What's up?\n[00:05 - 00:09] Speaker A: I'm thinking about going back to school to get my degree in accounting.\n[00:09 - 00:13] Speaker B: That sounds like a great idea! I think you would be really good at\n[00:12 - 00:20] Speaker A: Do you really think so? I've been a bit nervous about whether I can handle the coursework, especially since it's been a while since I was in school.\n[00:26 - 00:33] Speaker B: Of course, I do! You've always been great with numbers and problem-solving. Plus, you're so determined when you set your mind to something.\n[00:34 - 00:44] Speaker A: Yeah, I've been thinking about it for a while and I'm just ready for a change. Plus, it would be nice to have a degree in something that could actually help me get a better job.\n[00:45 - 00:47] Speaker B: Absolutely. So when do you think you'll start?\n[00:47 - 00:56] Speaker A: As soon as possible. I've already looked into some schools and I found one that has an accelerated program that I can do online.\n[00:56 - 01:02] Speaker B: That sounds perfect! You'll be able to get your degree without having to quit your job or worry about commuting to classes every day.\n[01:03 - 01:09] Speaker A: Exactly, that's one of the biggest reasons I chose this program. I need to keep working while I study.\n[01:09 - 01:14] Speaker B: And since it's online, you can do it at your own pace and still have time for your other commitments.\n[01:15 - 01:22] Speaker A: Yeah, it's really flexible. I'm excited but also a little anxious about juggling everything.\n[01:22 - 01:27] Speaker B: That's great! I'm really happy for you, Damonte. This is going to be a great new adventure for you!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1047480.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Good morning. I see that it's snowing outside. I was really looking forward to going to the beach today, but it doesn't seem like that will be\n[00:07 - 00:12] Speaker B: Actually, have you checked the weather forecast? It might clear up later in the day.\n[00:17 - 00:29] Speaker A: It doesn't look like that is going to happen. I think I'm just going to go back to bed and  relax for a bit while listening to some calming music and enjoying the cozy atmosphere of my warm blankets during this snowy morning.\n[00:30 - 00:34] Speaker B: Before you do that, maybe we should have some breakfast first? It might help lift your mood.\n[00:35 - 00:38] Speaker A: Well, I'm going to make breakfast. Do you want anything?\n[00:39 - 00:42] Speaker B: No, I don't think so. I'm not really hungry right now.\n[00:43 - 00:45] Speaker A: Okay. I'll bring you something later then."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--29858.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: Mom, I know you're going to be really mad at me, but I just can't take it anymore. I'm tired of being bullied at school. I'm tired of feeling like I don't belong anywhere. I just want to get away from\n[00:11 - 00:19] Speaker B: Danny, wait! What do you mean by \"get away\"? Are you thinking of doing something drastic? You can't just leave like this without talking it through.\n[00:24 - 00:40] Speaker A: I don't know, Mom. I just feel like running away from everything. I know you mean well, but it's just not enough. I'm not like the other kids at school. I don't fit in anywhere. And no matter how many times you tell me that it'll get better, it never does.\n[00:40 - 00:53] Speaker B: Danny, honey...you're just going through a tough time right now. It'll pass, I promise. Just give it a little more  time and try to focus on the things you enjoy, like your art and music, because those are the parts of you that truly shine and make you special.\n[00:54 - 01:01] Speaker A: Mom, time isn't going to fix this! You don't understand—this isn't just a phase. I'm sorry, but I have to go.\n[01:02 - 01:04] Speaker B: Danny! Come back here! Don't you dare walk out on me!\n[01:05 - 01:07] Speaker A: *keeps walking*\n[01:07 - 01:09] Speaker B: *runs after her*"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--341205.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, boss. I wanted to talk to you about something.\n[00:03 - 00:03] Speaker B: What's up?\n[00:04 - 00:07] Speaker A: Well, I think there might be a problem with my job.\n[00:07 - 00:08] Speaker B: What do you mean?\n[00:08 - 00:10] Speaker A: I'm color blind.\n[00:10 - 00:14] Speaker B: Oh, wow. I had no idea. How long have you\n[00:13 - 00:25] Speaker A: Sorry to cut you off, but it's been like this as long as I can remember. It's never been a problem before, but now that I'm working with color-coded materials, it's becoming more of an issue.\n[00:30 - 00:31] Speaker B: Have you talked to anyone else about this?\n[00:32 - 00:45] Speaker A: Just my wife. She was the one who suggested that I talk to  you about this situation, since you've always been supportive of finding solutions to workplace challenges and implementing reasonable accommodations when needed.\n[00:45 - 00:51] Speaker B: I see, and have you thought about any specific accommodations that might help you with the color-coded tasks?\n[00:51 - 01:00] Speaker A: I haven't really thought about specific solutions yet, but maybe we could look into tools or software that could assist with color differentiation."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--861085.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I want to be a teacher because I want to help people.\n[00:03 - 00:04] Speaker B: Why do you want to help people?\n[00:04 - 00:13] Speaker A: Because I feel like it's my purpose in life. I want to make a difference in the world, and I believe that becoming a teacher will allow me\n[00:12 - 00:22] Speaker B: Sorry to jump in, but when you say \"make a difference,\" do you mean in a specific way, like in the lives of children, or is it more about contributing to society as a whole?\n[00:27 - 00:39] Speaker A: It's more about both, actually. As a teacher, I will be able to influence my students and help them learn and grow. And if I can make even a small difference in their lives, then I think that's really important.\n[00:39 - 00:44] Speaker B: Do you think that there are other ways that you could make a difference in the world besides becoming a teacher?\n[00:45 - 00:54] Speaker A: Of course. There are endless ways that someone can make a difference in the world. But for me, becoming a teacher is the best way that I can see myself doing it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--716169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: How dare you! I can't believe you would say something like that to me.\n[00:04 - 00:10] Speaker B: Usher, calm down. There's no need to raise your voice. We can discuss this without getting so heated.\n[00:10 - 00:19] Speaker A: No need? Oh, there's every need! You have no idea how hard I've worked or what I've been through. And you just come in here and judge me?\n[00:20 - 00:27] Speaker B: Usher, please understand, I'm just trying to help you. Your behavior lately has been causing problems and we're just trying to\n[00:26 - 00:33] Speaker A: Problems? You think I'm the problem? Well, screw you and your help! I don't need it. Just leave me alone!\n[00:38 - 00:44] Speaker B: Usher, that's not going to solve anything. Let's talk about this calmly and try to figure out a solution together."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--121129.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Sarah. I've been meaning to talk to you about something important.\n[00:04 - 00:06] Speaker B: What is it? You sound serious.\n[00:07 - 00:10] Speaker A: I am. I'm thinking about running for\n[00:09 - 00:14] Speaker B: Running for office? Wow, that's huge! What made you decide that?\n[00:19 - 00:41] Speaker A: Honestly, I just feel like I could make a difference. There's a lot of problems in our community that need to be addressed, and I feel like I could be a voice for the people. Plus, I really believe in public service and  the impact it can have on improving people's lives through thoughtful policy-making, community engagement, and creating sustainable solutions to long-standing issues.\n[00:42 - 00:51] Speaker B: Public service is definitely a noble cause, but have you thought about the challenges? It's not just about helping; it's also about navigating politics and dealing with a lot of stress.\n[00:52 - 00:58] Speaker A: Yeah, I know. But I'm willing to put in the work if it means that I can help make our community a better place.\n[00:59 - 01:06] Speaker B: Well, I think that's admirable. And if you really believe in it, then I support you. Just know that I'm here for you, no matter what happens."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--940934.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Mom. Can I go to Tim's house today?\n[00:03 - 00:05] Speaker B: No, you can't go to Tim's house today.\n[00:06 - 00:07] Speaker A: Why\n[00:06 - 00:11] Speaker B: Because I said so. And before you ask again, you need to focus on your homework.\n[00:16 - 00:18] Speaker A: But I don't want to do my homework.\n[00:18 - 00:27] Speaker B: Well, you have to do it anyway. Now go  and get started immediately because your teacher specifically mentioned you need to improve your math skills this semester.\n[00:27 - 00:32] Speaker A: Wait, can't I just finish it later? I promise I'll get it done before bed.\n[00:33 - 00:38] Speaker B: No, you need to do it now. Once it's done, then we can talk about other plans."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--771154.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: How are you feeling today, Sarah?\n[00:02 - 00:06] Speaker B: I'm feeling okay. I've been having a lot of headaches and stomachaches\n[00:05 - 00:11] Speaker A: Headaches and stomachaches? That sounds concerning. Have you been taking your medication?\n[00:16 - 00:17] Speaker B: Yes, I have.\n[00:17 - 00:20] Speaker A: Are you drinking plenty of fluids and eating enough?\n[00:20 - 00:24] Speaker B: Yes, I'm drinking a lot of water and juice and eating healthy foods.\n[00:24 - 00:27] Speaker A: That's good. How's your stress level been?\n[00:28 - 00:34] Speaker B: It's been pretty high lately. I've been having a lot of arguments with my parents and I'm worried about how it's affecting my mental and physical health.\n[00:35 - 00:41] Speaker A: You mentioned arguments with your parents—do you think that's contributing to the stress and maybe even the headaches?\n[00:42 - 00:49] Speaker B: Possibly, yes. It's been really tough. I have talked to my friends about it, and they've been helping me a lot. But it's still hard.\n[00:49 - 01:00] Speaker A: It sounds like it's been a really tough few weeks for you. We can talk more about that if you want, but first let's check your vitals and see if there are any physical causes for your headaches and stomachaches."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--761001.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: I'm sorry.\n[00:01 - 00:03] Speaker B: It's okay. I know you didn't mean\n[00:03 - 00:06] Speaker A: I didn't mean to hurt your feelings. I just wanted to help.\n[00:11 - 00:17] Speaker B: I know, and I appreciate that. But sometimes when people try to help, they end up making things worse.\n[00:17 - 00:23] Speaker A: Yeah, I can see how that could happen. I'm really sorry if I did make you feel that way.\n[00:23 - 00:26] Speaker B: Thank you for apologizing. It means a lot to me.\n[00:26 - 00:32] Speaker A: Of course, Kerra. Anytime you need to talk, don't hesitate to come to me, okay?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--213851.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: I can't believe she's gone. It feels like only yesterday we were together, laughing and joking and enjoying each other's company. I loved her so much, and now she's gone. I feel so alone without\n[00:11 - 00:23] Speaker B: I know how you feel, Dre. I miss her too. She was such a special person to me, and I'll never forget all the happy times we shared together. It's hard to imagine life without her laughter and the way she brightened up every room.\n[00:28 - 00:43] Speaker A: Sorry, I just can't help but think about all the things we used to do together and it just makes me so sad. I don't know how I'm going to go on without  her constant support and encouragement that always gave me strength when I needed it most.\n[00:43 - 00:49] Speaker B: We'll get through this together, Dre. We have each other and we'll always have our memories of her. That's what we have to hold onto."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--631363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Sarah. How are you doing today?\n[00:02 - 00:07] Speaker B: I'm doing good. Just hanging out at home, trying to stay cool in this\n[00:06 - 00:13] Speaker A: Oh, speaking of staying cool, have you tried those new portable fans? They're supposed to be really effective.\n[00:18 - 00:24] Speaker B: No, I haven't tried them yet. But with this heat, I might have to look into it. So, what have you been up to lately?\n[00:25 - 00:35] Speaker A: Not much. Just hanging out with friends and family, going to the  park and enjoying the sunshine while trying to find some shade under the big oak trees near the playground area.\n[00:35 - 00:41] Speaker B: Oh, that reminds me! I wanted to ask if you've been to that new beach spot everyone's talking about?\n[00:41 - 00:51] Speaker A: No, I haven't been there yet. I was actually going to say I've been going to the beach a lot, but now I'm curious about this new spot. What's it like?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--735517.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm leaving. I can't take it here anymore.\n[00:03 - 00:05] Speaker B: What do you mean? What's wrong?\n[00:05 - 00:09] Speaker A: Everything. I'm just done. I need to get out of\n[00:08 - 00:13] Speaker B: Wait, are you sure this is the right decision? Have you thought about where you'll go or how you'll manage?\n[00:19 - 00:22] Speaker A: I don't know. Away from here. Anywhere but here.\n[00:22 - 00:25] Speaker B: But why? What's wrong with here?\n[00:25 - 00:40] Speaker A: It's just too much. The pressure, the expectations, the constant judgment. I can't take it  anymore, and I need to find a place where I can breathe and be at peace without constantly worrying about meeting other people's impossible standards.\n[00:40 - 00:45] Speaker B: But what about your family? Your friends? They care about you. Leaving would be hard on them.\n[00:46 - 00:54] Speaker A: I'll make new ones. Somewhere else where people don't know me and don't have any preconceived notions about who I am or what I'm supposed to be like.\n[00:55 - 00:56] Speaker B: But won't you be lonely?\n[00:56 - 01:07] Speaker A: No, I'll be free. Free to be myself without having to put on a show all the time. Besides, it's not like I'm going to be completely alone. I'll still have you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--159893.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Lily, I've noticed that the Chinese culture is very different from the American culture.\n[00:05 - 00:15] Speaker B: Yes, that's true. The Chinese culture is very ancient and has a lot of traditions that are unique to our country. For example, we always greet each other with a smile and have a lot of respect for our\n[00:14 - 00:25] Speaker A: Sorry to jump in, but when you say \"respect for elders,\" how does that usually manifest in daily life? I'm curious because in America, the approach is quite different.\n[00:31 - 00:53] Speaker B: That's a great question. Respecting elders in China often means listening to their advice, giving them priority in social situations, and even using specific language to show deference. But I was also going to mention that this respect is deeply rooted in Confucian values, which have shaped much of our social interactions. For example, in a family setting, the eldest member usually has the final say in important decisions.\n[00:54 - 01:02] Speaker A: I see. I think it would be interesting to experience the Chinese culture firsthand. Do you think I could visit your country sometime?\n[01:02 - 01:06] Speaker B: Of course! I would love to show you around China. I think you would really enjoy it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--562877.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey boss, what's up?\n[00:02 - 00:04] Speaker B: Not much, just getting some work done. What about you?\n[00:05 - 00:12] Speaker A: I'm just finishing up a project for a client. It was a bit of a rush job, but I think they're going to\n[00:11 - 00:16] Speaker B: Oh, speaking of rush jobs, did you manage to get everything approved by the client before starting?\n[00:21 - 00:34] Speaker A: Yes, I made sure to get their approval before diving in. I just had to work a few extra hours each day and made sure to stay on schedule. It wasn't easy, but I managed to handle it without compromising the quality.\n[00:34 - 00:38] Speaker B: I hope you didn't burn yourself out. It's important to pace yourself too, you know?\n[00:39 - 00:44] Speaker A: I appreciate the concern. I managed to balance it out, and I'm glad I could help out.\n[00:45 - 00:49] Speaker B: You're always so dedicated to your work. I'm sure your client appreciated the extra effort.\n[00:50 - 00:54] Speaker A: Thanks, boss. I just try to do my best for the company and our clients.\n[00:54 - 00:57] Speaker B: That's what we need around here! Keep up the good work."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--717045.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Mom. I'm home!\n[00:02 - 00:04] Speaker B: Hey, welcome home! How was your trip?\n[00:05 - 00:09] Speaker A: It was good. I'm glad to be back\n[00:08 - 00:12] Speaker B: Oh, before I forget, did you manage to take any pictures? I'd love to see them!\n[00:17 - 00:27] Speaker A: Yes, I did! I got some great shots, especially of the snow. Speaking of which, the weather was great. I got to see the snow for the first time.\n[00:27 - 00:31] Speaker B: That sounds like a lot of fun. What did you do while you were there?\n[00:31 - 00:42] Speaker A: I went sledding, ice skating, and I built a  snowman, which was probably the best part because I made it look just like our family dog with sticks for ears and a carrot nose.\n[00:43 - 00:48] Speaker B: Wait, ice skating? How did that go? I remember you were a bit nervous about it.\n[00:48 - 00:54] Speaker A: It was tricky at first, but I got the hang of it! And I also built a snowman, which was really fun."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--144310.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, do you want to talk?\n[00:02 - 00:02] Speaker B: Yeah, what's up?\n[00:03 - 00:06] Speaker A: I'm just not happy. I think we should break up.\n[00:06 - 00:13] Speaker B: Why? What's been bothering you? Is there something I did that made you feel this way or is it something else entirely that's been\n[00:12 - 00:16] Speaker A: I just don't feel like this is what I'm supposed to be doing right now.\n[00:21 - 00:23] Speaker B: But I thought things were going good between us.\n[00:23 - 00:26] Speaker A: They were, but I just can't do this anymore.\n[00:27 - 00:39] Speaker B: Fine, if that's what you want. But can we at least talk about it first? Try to figure out where things went wrong and see if we can fix them by  addressing the underlying issues and working together to rebuild what we had before things started falling apart?\n[00:40 - 00:43] Speaker A: I don't know, it's just a feeling I have.\n[00:43 - 00:51] Speaker B: But feelings can change. If you're not happy now, maybe in a few weeks or months you will be again. Just give it some time before you make a decision like this.\n[00:52 - 00:57] Speaker A: No, I don't think so. This is how I feel and there's nothing that's going to change that.\n[00:58 - 01:02] Speaker B: So that's it then? You've made up your mind and there's nothing I can say or do to change it?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--442672.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Evander, I'm sorry about what happened at the party last night.\n[00:04 - 00:09] Speaker B: It's not your fault, Dexter. I was the one who got too drunk and made a fool of myself.\n[00:09 - 00:17] Speaker A: Yeah, but I should have stopped you from drinking so much. I knew you were already pretty buzzed when we arrived and I didn't do anything to\n[00:16 - 00:23] Speaker B: Dexter, I appreciate your concern, but honestly, I made the choice to keep drinking. You didn't force me to do anything.\n[00:28 - 00:36] Speaker A: I know, but I feel like I could have done more to prevent it from getting out of hand. I should have been a better friend in that moment.\n[00:36 - 00:40] Speaker B: Look, seriously, it's not your fault. Let's just forget about it and move on.\n[00:41 - 00:44] Speaker A: Alright, if you're sure you're not mad at me.\n[00:44 - 00:51] Speaker B: I'm not mad at you, Dexter. I'm just embarrassed about what happened. Thanks for being a good friend and having my back."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--857144.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: That was a really good meal.\n[00:02 - 00:05] Speaker B: I'm glad you liked it. I put a lot of work into\n[00:04 - 00:10] Speaker A: Sorry to cut in, but did you use a special seasoning for the fish? The flavor was really unique.\n[00:15 - 00:22] Speaker B: Yes, I did use a special blend. I was about to mention that I tried a new recipe for the seasoning. I'm glad you noticed!\n[00:22 - 00:27] Speaker A: It shows. The fish was cooked perfectly, and the flavor was great.\n[00:27 - 00:29] Speaker B: Thanks. I'm glad you enjoyed it.\n[00:29 - 00:34] Speaker A: I did. It was a really nice dinner. Thanks for making it.\n[00:34 - 00:36] Speaker B: You're welcome. I'm glad you liked it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--848051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Holy shit, what happened here?\n[00:02 - 00:09] Speaker B: It looks like this person was stabbed multiple times. We're still trying to piece together what happened, but it's pretty clear that they didn't stand a\n[00:09 - 00:14] Speaker A: Wait, do we have any witnesses or surveillance footage that might help us figure out who did this?\n[00:20 - 00:33] Speaker B: We're checking the area for any cameras that might have caught something. Unfortunately, violent crimes like this are all too common these days. We'll do our best to catch the perpetrator and bring them to justice as quickly as possible, but it's going to take some time to gather all the evidence.\n[00:34 - 00:40] Speaker A: I really hope we can get some leads soon. It's just so horrifying to think that someone could do something like this.\n[00:41 - 00:48] Speaker B: I know it's hard to understand, but sometimes people do terrible things for no reason at all. We just have to hope that justice is served in the end."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--813478.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm so sorry, officer. I didn't mean to break the law.\n[00:03 - 00:19] Speaker B: Francis, you've been breaking the law for years now. You've been arrested for trespassing, vandalism, and public intoxication. This is the third time you've been caught drinking in public this year. You're lucky I'm not hauling you in for disorderly conduct right\n[00:18 - 00:32] Speaker A: Officer, I understand, and I really appreciate you not taking me in this time. I just want to say that I'm trying to change, it's just that sometimes it feels like no matter what I do, I can't escape my past mistakes.\n[00:37 - 00:42] Speaker B: That's not good enough, Francis. You need to start following the rules if you don't want to end up in jail.\n[00:42 - 01:01] Speaker A: I know, officer. But it's hard when all my friends are doing things that are against the law too. They peer pressure me into doing things that I don't want to  do, but I know that's not an excuse, and I need to take responsibility for my own actions and make better choices moving forward regardless of what others around me are doing.\n[01:01 - 01:17] Speaker B: But Francis, you're an adult now. You can't keep blaming your friends for your actions. You need to start making your own decisions about what's right and wrong instead of following their lead all the time. If you keep breaking the law, you're going to end up in jail where you'll have a lot more time to think about your choices."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--571155.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey Val, are you all packed for our camping trip?\n[00:03 - 00:09] Speaker B: Yeah, I think so. I have the tents, food, and clothes. Did you remember to pack your bag?\n[00:09 - 00:17] Speaker A: Yes, I did. I have everything we need. Are you sure you're ready for this? It's going to be a lot of\n[00:16 - 00:20] Speaker B: Actually, I just realized I might have forgotten the matches. Do you have any in your bag?\n[00:26 - 00:32] Speaker A: Oh, I didn't check for matches. I'll make sure to pack them. So, you were saying you were looking forward to it?\n[00:32 - 00:37] Speaker B: Yeah, I'm ready. I've been looking forward to it for a while. Thanks for planning it all out.\n[00:37 - 00:46] Speaker A: No problem. I know we both needed a break from work and life in general. It'll be nice to relax in nature for a few days and just unwind.\n[00:47 - 00:52] Speaker B: Speaking of relaxing, did we decide on any specific activities to do while we're there?\n[00:52 - 00:58] Speaker A: I was thinking we could go hiking and maybe do some fishing. But I haven't mentioned the exact schedule yet.\n[00:58 - 01:02] Speaker B: Definitely. So, what time are we leaving tomorrow morning?\n[01:02 - 01:08] Speaker A: Around 9am should be good. That will give us enough time to get there and set up camp before it gets dark.\n[01:09 - 01:10] Speaker B: Sounds perfect. See you then!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--790538.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: The future is going to be so different, Arrianna. There will be new technology and people will live in\n[00:05 - 00:10] Speaker B: Sorry, I just got so excited! Do you really think people will live in space? How would that even work?\n[00:16 - 00:29] Speaker A: Yes, I think it's quite possible. Advances in technology are making it more feasible. People will have jet packs and they'll be able to travel quickly and efficiently over short distances, making daily commutes much easier.\n[00:30 - 00:35] Speaker B: Jet packs? Wow, that would be so cool! But wouldn't there be safety concerns with everyone flying around?\n[00:36 - 00:55] Speaker A: Safety would definitely be a consideration, but with proper regulations and technology, it could be managed. And there will also be flying cars! Can you imagine  how much time we'd save on our daily commutes and how much more accessible remote locations would become with this revolutionary transportation technology?\n[00:55 - 01:01] Speaker B: Flying cars would be awesome! I wouldn't even mind being stuck in traffic if I could fly above it all."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--951487.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: \"I don't care if you don't like them. I like them because they're different and\n[00:03 - 00:04] Speaker B: \"But they look so weird.\"\n[00:10 - 00:16] Speaker A: \"So what? I'm not looking for your approval, I'm just telling you that I appreciate their distinctiveness.\"\n[00:16 - 00:20] Speaker B: \"Wait, before you go on, can you explain what exactly you find unique about them?\"\n[00:20 - 00:31] Speaker A: \"Sure, I think their design and color scheme are unlike anything I've seen before. But anyway, I'm not looking for your approval, I'm just telling you why I like them.\"\n[00:31 - 00:34] Speaker B: \"Fine, whatever. I still think they look weird.\"\n[00:34 - 00:36] Speaker A: \"Whatever, I don't care what you think.\""}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--171463.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Mom, I wanted to talk to you about something.\n[00:03 - 00:06] Speaker B: What is it, Huy? You know you can talk to me about anything.\n[00:07 - 00:13] Speaker A: I know, Mom. It's just that I've been thinking a lot lately about my future and what I want to\n[00:13 - 00:16] Speaker B: Wait, is this about your career? Have you finally decided on something?\n[00:21 - 00:26] Speaker A: Yes, exactly. I've come to the conclusion that I really want to become a doctor.\n[00:26 - 00:34] Speaker B: A doctor? Huy, are you sure? That's a lot of hard work and it's not going to be easy. Are you sure you're up for the challenge?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--51285.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm so tired. I can't wait to get home and take a\n[00:03 - 00:08] Speaker B: Sorry to cut in, but before you doze off, did you remember to send that email to the client?\n[00:13 - 00:20] Speaker A: Oh, I completely forgot about that. I'll do it first thing when I get home. But honestly, I just want to take a nap.\n[00:20 - 00:25] Speaker B: Yeah, I know how you feel. I'm exhausted too. It's been a long day.\n[00:26 - 00:30] Speaker A: It sure has. I don't know about you, but I'm ready for it to be over.\n[00:30 - 00:35] Speaker B: Me too. I can't wait to just relax and not have to worry about anything for a while.\n[00:35 - 00:42] Speaker A: That sounds great. I think I'm going to close my eyes and try to get some sleep as soon as I finish that email.\n[00:43 - 00:46] Speaker B: Just one more thing—did you lock up the office before we left?\n[00:46 - 00:50] Speaker A: Yes, I did. Now, I really need that nap.\n[00:50 - 00:54] Speaker B: Yeah, you should do that. I'm going to do the same thing."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1050100.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much, what's up with you?\n[00:03 - 00:05] Speaker A: I'm feeling kind of down today.\n[00:06 - 00:07] Speaker B: Why, what happened?\n[00:07 - 00:17] Speaker A: I don't know, I just feel like everything is going wrong. My job is stressing me out, my relationship is not great, and I just feel like I can't catch a\n[00:16 - 00:23] Speaker B: Wait, is it something specific about your job that's stressing you out, or is it just everything piling up at once?\n[00:27 - 00:41] Speaker A: It's mostly everything piling up at once. But yeah, work has been really demanding lately, and it feels like I'm always behind. And then with my relationship, it's like we're not even on the same page anymore.\n[00:41 - 00:46] Speaker B: That sounds really tough. I'm sorry to hear that. It sounds like you could really use a friend right now.\n[00:46 - 00:51] Speaker A: Yeah, I guess so. It's just been a really tough week.\n[00:51 - 01:01] Speaker B: Well, let me see if I can make you laugh. Do you remember that time when we were in high school and we snuck out to go to that party? And then we got caught by your mom when we were trying to sneak back in through the window?\n[01:02 - 01:04] Speaker A: Oh my god, yes! My mom was furious!\n[01:05 - 01:12] Speaker B: We were so lucky she didn't ground us for life! But man, that was a close call. Just thinking about it still makes me laugh.\n[01:12 - 01:16] Speaker A: Yeah, me too. Just remembering her face when she caught us is hilarious.\n[01:17 - 01:23] Speaker B: Well, there you go! I'm glad I could make you laugh. Sometimes all we need is a good laugh to brighten our day."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--98947.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Mom. I wrote a letter to Santa and he wrote back!\n[00:04 - 00:07] Speaker B: Oh, that's so exciting! What did he\n[00:06 - 00:09] Speaker A: He said he would try to come on Christmas Eve!\n[00:14 - 00:17] Speaker B: Wow, that's amazing! Have you been good this year?\n[00:17 - 00:22] Speaker A: I think so. I've tried to be extra kind to everyone and help out around the house.\n[00:22 - 00:28] Speaker B: You know, if there's anything you think you could do better, now's the time to make sure Santa knows you're really trying!\n[00:29 - 00:31] Speaker A: I hope so. I really want to see him this year!\n[00:32 - 00:37] Speaker B: I'm sure you will, sweetie. Just keep being good and I'm sure he'll come visit you on Christmas Eve."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--908191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: The piano always has a way of making me feel at peace. It's like the music washes over me and everything else just fades\n[00:07 - 00:14] Speaker B: Sorry to interrupt, but I was curious, do you think this feeling is unique to playing the piano, or could other instruments have the same effect on you?\n[00:19 - 00:41] Speaker A: That's a good question. I think other instruments might have a similar effect, but for me, the piano has always been special. When I'm playing, I don't have to worry about anything else going on in my life. It's just me and the music. And for that brief moment, everything else disappears and I'm completely immersed in the experience, almost as if I'm in another world.\n[00:41 - 00:45] Speaker B: That sounds amazing. I wish I could find something that would make me feel that way.\n[00:46 - 00:51] Speaker A: You don't have to find something, Sarah. You can just listen to the music and let it take you away.\n[00:52 - 00:54] Speaker B: Really? You think it would work for me?\n[00:54 - 00:59] Speaker A: Of course it would! Just close your eyes and let yourself go. I promise you'll love it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--489920.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi! How are you today?\n[00:02 - 00:04] Speaker B: I'm doing well, thank you. How are you?\n[00:04 - 00:08] Speaker A: I'm doing great, thanks for asking. What can I do for you?\n[00:09 - 00:13] Speaker B: Well, I was wondering if you had any advice on how to handle a difficult professor.\n[00:14 - 00:19] Speaker A: Absolutely. I'm happy to help. Can you tell me a little bit more about\n[00:19 - 00:25] Speaker B: Sorry to jump in, but he's really hard to understand and he's always changing his mind about things. It's really frustrating.\n[00:30 - 00:34] Speaker A: Yeah, that sounds tough. Have you tried talking to him about it?\n[00:35 - 00:41] Speaker B: Yeah, I've tried talking to him but it doesn't seem to help. He just gets angry and tells me I'm not doing it right.\n[00:41 - 00:59] Speaker A: Hmm... well, have you tried emailing him or setting up a meeting outside of class? Sometimes that can be helpful in getting a better understanding of  his expectations and finding a way to meet them through clear communication and establishing mutual understanding about course requirements.\n[00:59 - 01:04] Speaker B: I did, but it hasn't really helped either. He just gets annoyed and says I'm wasting his time.\n[01:05 - 01:16] Speaker A: Okay, well let me think for a minute... have you talked to any other students in the class? Maybe they've had similar experiences or might have some advice on how to deal with the situation.\n[01:17 - 01:23] Speaker B: Yeah, I've talked to some other students but nobody seems to be having the same problem as me so I don't know what else to do...\n[01:23 - 01:27] Speaker A: Well, let me see if I can find something in our resources that might be helpful..."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1050248.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, dad. I wanted to talk to you about something.\n[00:03 - 00:04] Speaker B: What is it, son?\n[00:05 - 00:06] Speaker A: I got a job!\n[00:06 - 00:08] Speaker B: That's great news! Where are you working?\n[00:09 - 00:14] Speaker A: I'm working at the grocery store down the street. It's not much, but it's a\n[00:13 - 00:17] Speaker B: Actually, have you thought about how this job might fit into your long-term career goals?\n[00:22 - 00:36] Speaker A: Well, it's a start. I'm still figuring out my long-term plans. But for now, I just want to gain some experience. And one day, I want to save up and buy a house of my own. But I know I need to plan more carefully to achieve that.\n[00:37 - 00:44] Speaker B: That's an admirable goal. Just make sure you're also thinking about potential growth opportunities within the company or in the industry.\n[00:45 - 00:52] Speaker A: Absolutely, Dad. I will keep that in mind. But for now, I'm just happy to have a job and be able to take care of myself."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--954404.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, sweetie. Are you all ready for school?\n[00:02 - 00:05] Speaker B: Hi, Mom. Yeah, I think so.\n[00:05 - 00:06] Speaker A: Did you eat breakfast?\n[00:07 - 00:08] Speaker B: Yes, I had some\n[00:08 - 00:12] Speaker A: Sorry to interrupt, but did you remember to pack your lunch as well?\n[00:16 - 00:20] Speaker B: Oh, I almost forgot! I'll grab it right now. Can I take my bike today?\n[00:21 - 00:34] Speaker A: Let me see...I don't know if there's going to be time for that after school. You have your homework to do and then we have to  head to your piano lesson which is all the way across town and we'll need to leave right after you finish your assignments.\n[00:35 - 00:39] Speaker B: Oh, right! We have to pick up my sister. Maybe I can ride tomorrow instead?\n[00:39 - 00:44] Speaker A: We'll see though, okay? Maybe we can go for a ride tomorrow instead.\n[00:44 - 00:47] Speaker B: All right. Thanks, Mom. Love you!\n[00:47 - 00:50] Speaker A: Love you too, sweetie. Have a great day at school!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--834526.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: I'm really worried about this, lawyer. If the FBI finds out that we committed fraud, we could be in a lot of\n[00:07 - 00:16] Speaker B: Sorry to cut in, but when you say \"we,\" are you referring to specific actions you both took, or are you concerned about something else that might come up in their investigation?\n[00:21 - 00:38] Speaker A: It's specifically about some documents we both signed. I didn't mention it earlier, but those documents could be the key to  proving that we were intentionally misleading certain parties about the financial status of the company and creating false records to cover up significant losses.\n[00:38 - 00:47] Speaker B: Got it. I'll need to review those documents in detail. In the meantime, try to stay calm. I'll do my best to help you out of this situation."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--202914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, I'm just trying to have some fun.\n[00:02 - 00:07] Speaker B: Yeah, but do you have to be so loud? You're disrupting the\n[00:06 - 00:15] Speaker A: Sorry to interrupt, but I just wanted to say, it's not just that you're loud, it's that you're always banging things around and making a mess.\n[00:20 - 00:32] Speaker B: Hey, I can't help it if I'm clumsy. Besides, it's not like anyone ever gets hurt or  any serious damage is done to the property, and I always clean up after myself eventually when I have the time and energy to do so properly.\n[00:33 - 00:42] Speaker A: I understand accidents happen, but the point is that you're making life difficult for everyone else in the apartment complex. Can't you try to be more considerate?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--477747.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm sorry to hear that, boss. What's wrong?\n[00:03 - 00:11] Speaker B: Well, it turns out that our sales projections for the quarter were way off. We're actually down by about 15% from where we thought we\n[00:10 - 00:15] Speaker A: 15%? That's a significant difference. What caused the discrepancy?\n[00:20 - 00:35] Speaker B: It looks like we made an error in our calculations. Somebody dropped a decimal point somewhere and it completely threw off our numbers. Indy, I need you to fix this as soon as possible so that we can get accurate sales projections for the rest of the quarter and adjust our strategy accordingly.\n[00:35 - 00:44] Speaker A: I'll get on it right away. Just to clarify, do you need me to recheck all the previous calculations, or should I focus on the projections moving forward?\n[00:45 - 00:51] Speaker B: Focus on the projections moving forward. We need accurate data to make decisions for the rest of the quarter. Can you do that?\n[00:52 - 00:54] Speaker A: Of course, boss. I'll take care of it right away."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--953260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hi.\n[00:00 - 00:02] Speaker B: Hi there. What can I do for you?\n[00:02 - 00:07] Speaker A: I'm just looking for a quiet place to read. Do you have any recommendations?\n[00:08 - 00:12] Speaker B: Well, the library is a great place for that. We have plenty of quiet places to read\n[00:12 - 00:17] Speaker A: Yeah, but I was hoping for something a little more...secluded. Somewhere where I won't be disturbed.\n[00:22 - 00:34] Speaker B: I see. Well, let me think about it and see if I can come up with something for you. In the meantime, why don't you try one of our study rooms? They're usually pretty isolated from the main areas, so you might find it quite suitable.\n[00:35 - 00:40] Speaker A: Are they soundproof? I really need a place where I won't hear any noise at all.\n[00:40 - 00:46] Speaker B: They're not completely soundproof, but they are very quiet and rarely used at this time of day. Would that work for you?\n[00:46 - 00:49] Speaker A: Alright, that sounds good. Thanks."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--923496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Sarah. I need to talk to you about something.\n[00:03 - 00:04] Speaker B: What's up?\n[00:04 - 00:09] Speaker A: It's just, I don't really know how to say this, but I think I might be\n[00:08 - 00:14] Speaker B: Oh, Malana, before you say anything more, I just want you to know that whatever it is, I'm here for you.\n[00:19 - 00:21] Speaker A: I was going to say I might be gay.\n[00:22 - 00:25] Speaker B: Malana, I don't care if you're gay. I love you no matter what.\n[00:26 - 00:28] Speaker A: Really? You're not mad?\n[00:28 - 00:31] Speaker B: Of course not! Why would I be mad?\n[00:31 - 00:35] Speaker A: I don't know. I just thought you might be upset or worried that it would change our friendship.\n[00:36 - 00:41] Speaker B: Upset? No way. I'm just so proud of you for being honest with yourself and with me.\n[00:41 - 00:43] Speaker A: Thanks, Sarah. That means a lot."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1084325.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, babe. You look great today.\n[00:02 - 00:06] Speaker B: Thanks, Cattleya. You always know how to make me feel\n[00:05 - 00:12] Speaker A: Sorry to interrupt, but I just have to ask—where did you get that dress? It's absolutely stunning!\n[00:17 - 00:29] Speaker B: Oh, I got it from that boutique downtown. I knew you would like it. I saw it and thought of you  immediately because it has that elegant yet modern aesthetic you always gravitate toward, with the perfect balance of sophistication and playfulness.\n[00:29 - 00:33] Speaker A: You have such an eye for fashion! Maybe we should go shopping together sometime.\n[00:34 - 00:36] Speaker B: I'd love that! Well, you have excellent taste too!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--726133.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I don't know what to do, Sarah. I really like this guy, but he's in a relationship and I don't want to\n[00:05 - 00:12] Speaker B: Wait, before you go on, have you considered if he might just see you as a friend? It could change how you approach this situation.\n[00:16 - 00:24] Speaker A: That's a good point. I guess I would like to pursue something, but at the same time, I don't want to hurt his current girlfriend's feelings.\n[00:24 - 00:38] Speaker B: Well then, you need to talk to him about it and see how he feels too. You both need to be on the same page before  you make any decisions that could affect all three of you emotionally and potentially damage existing relationships in ways that might be hard to repair.\n[00:38 - 00:43] Speaker A: But what if he says he likes me back? Wouldn't that make things even more complicated?\n[00:43 - 00:49] Speaker B: It could, but it's better to know where you both stand than to keep guessing. Talking it out is the only way to figure out the next steps.\n[00:50 - 00:57] Speaker A: Yeah, I guess you're right. I'll talk to him and see what he thinks. Thanks for the advice, Sarah.\n[00:57 - 00:58] Speaker B: Anytime!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--840566.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I wish you were here, too. I miss you a lot, especially during moments like these when I just want to share everything with you.\n[00:07 - 00:12] Speaker B: I miss you, too. It's been so hard being away from you. Do you think we can plan a visit soon?\n[00:13 - 00:18] Speaker A: Yeah, I know. I hate that we're not together right now. Maybe we could plan something for next month?\n[00:19 - 00:25] Speaker B: Me too. It feels like there's this big hole in my life without you. Next month sounds perfect.\n[00:25 - 00:30] Speaker A: I know exactly what you mean. But we'll be together again soon, I\n[00:29 - 00:32] Speaker B: I really hope so. I just want to hold you again.\n[00:37 - 00:39] Speaker A: I can't wait to see you again, Bretton."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--84371.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, kids! How are you today?\n[00:02 - 00:04] Speaker B: We're good, mom. Thanks for asking.\n[00:05 - 00:07] Speaker A: That's great! What did you do today?\n[00:08 - 00:12] Speaker B: We went to the park and played with our friends. Then we came home and had\n[00:11 - 00:16] Speaker A: Sorry to interrupt, but did you remember to clean up your toys before coming home?\n[00:21 - 00:24] Speaker B: Oh, yes, we did! After that, we had lunch.\n[00:24 - 00:28] Speaker A: That sounds like a lot of fun! I'm glad you had a good day.\n[00:28 - 00:30] Speaker B: We did! What did you do today, mom?\n[00:31 - 00:33] Speaker A: I went to work and then came home.\n[00:33 - 00:34] Speaker B: That's it?\n[00:34 - 00:40] Speaker A: Yep, that's it. I'm pretty boring, but I did manage to squeeze in some time to read a book.\n[00:41 - 00:44] Speaker B: Mom, you're not boring at all! You just have a different job than we do.\n[00:45 - 00:50] Speaker A: Thanks, sweetie. I guess I didn't mention I also stopped by the grocery store on my way back."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--316553.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Sarah, have you seen the news today?\n[00:03 - 00:04] Speaker B: No, I haven't. What's going on?\n[00:05 - 00:10] Speaker A: There's been a lot of talk about the new immigration law that was just\n[00:09 - 00:13] Speaker B: Oh, you mean the one that everyone's been debating about? What are your thoughts on it?\n[00:17 - 00:33] Speaker A: I'm not really sure. I know it's supposed to be helpful for people who are trying to come into the country legally, but I'm not sure if it will actually be effective or not. There are a lot of people who are against it, so we'll have to wait and see how public opinion shifts in the coming weeks.\n[00:34 - 00:40] Speaker B: Yeah, it's definitely a controversial topic. I wonder if the opposition will lead to any changes in the law.\n[00:40 - 00:45] Speaker A: We'll see what happens. It could go either way depending on how things unfold."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--287169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's going on?\n[00:01 - 00:07] Speaker B: Oh, just telling a story about this monster I saw in the woods. It was huge! And so scary!\n[00:08 - 00:10] Speaker A: Really? What did it look like?\n[00:10 - 00:17] Speaker B: Well, it was hard to tell because it was so dark, but it seemed to be covered in fur and had these big sharp\n[00:16 - 00:24] Speaker A: Wait, did you manage to get a closer look? I mean, were you able to see any tracks or anything that might help identify it?\n[00:30 - 00:36] Speaker B: No, I was too scared to stick around and look for tracks. But it had these big sharp teeth, and it was just terrifying!\n[00:36 - 00:41] Speaker A: Wow, that sounds like quite a sight. Did you tell anyone else about it?\n[00:41 - 00:54] Speaker B: Yeah, I told the elders and they said they'd look into it. But I haven't heard anything since, so I'm not sure if they believe me or  they just think it was my imagination running wild despite all the physical evidence I described to them in great detail.\n[00:55 - 01:01] Speaker A: Maybe they're just being cautious. If they haven't gotten back to you, it might mean they're still investigating.\n[01:01 - 01:05] Speaker B: Yeah, maybe. Well, I'm sure they'll find something eventually. Thanks for listening."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--933257.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Thank you so much for your kind words and prayers, Father. It means a lot to me.\n[00:05 - 00:07] Speaker B: You're very welcome, Willow. How are you doing?\n[00:08 - 00:12] Speaker A: I'm doing all right, I guess. Just trying to take things one day at a time.\n[00:12 - 00:19] Speaker B: That's the best way to do it. So many things can happen in life that we can't control, but we can control how we react to\n[00:18 - 00:29] Speaker A: Sorry to interrupt, Father, but what if it feels like no matter how I try to react, things just keep getting worse? Like, first my mom gets sick and then my dad loses his job...\n[00:34 - 00:44] Speaker B: Yes, I can imagine. That must be very difficult for you. But like I said, it's important to focus on what we can control. And one thing we can always control is our attitude.\n[00:44 - 00:47] Speaker A: Yeah...you're right. Thanks, Father.\n[00:47 - 00:53] Speaker B: You're welcome, Willow. Anytime you need to talk, don't hesitate to come see me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--532492.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hi, I couldn't help but notice how upset you seem. Is there anything I can do to help?\n[00:06 - 00:10] Speaker B: No, I don't think so. I'm just going through a really tough time right\n[00:09 - 00:18] Speaker A: I'm really sorry to interrupt, but I just want to make sure—are you getting enough support from the people around you? Sometimes it helps to have someone to lean on.\n[00:23 - 00:29] Speaker B: I appreciate your concern. I do have some support, but it still feels like everything is just falling apart.\n[00:29 - 00:36] Speaker A: That sounds incredibly difficult. I can't even imagine how you're managing to get through it all. You're so strong.\n[00:37 - 00:41] Speaker B: Thank you, but honestly, it doesn't feel like strength. It's more like I'm just trying to hold on.\n[00:41 - 00:51] Speaker A: Well, if there's anything I can do to help, please don't hesitate to let me know. In the meantime, try to stay positive and remember that things will eventually get better."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--833014.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: You know, it's really annoying when things are loose and\n[00:03 - 00:09] Speaker B: Oh, absolutely! Like when you try to hang something, and it just won't stay in place. Why can't they just be tight and sturdy?\n[00:14 - 00:20] Speaker A: Exactly! It drives me crazy when I see a loose screw or a crooked picture frame.\n[00:20 - 00:28] Speaker B: Yeah, it's like they're just begging to be fixed. But you know, sometimes I wonder if people even notice these things or if it's just us.\n[00:28 - 00:41] Speaker A: Right? And it's not like it's that hard to fix them, but people just don't bother. Or they don't have the time, or they don't know how. But it just drives me up the wall when things are out of place or not functioning properly.\n[00:41 - 00:54] Speaker B: I totally get you. There's nothing worse than trying to use something and it's just not working right because someone didn't take the time to fix it properly. Speaking of which, do you think it's just laziness, or maybe they don't have the right tools?\n[00:55 - 01:01] Speaker A: It could be either, honestly. But what's the point of having things if they're just going to be broken and dysfunctional?\n[01:02 - 01:07] Speaker B: Yeah, it's really frustrating. Especially when it's something you need to use regularly.\n[01:08 - 01:16] Speaker A: I know, I feel like I could go on about this forever. But I should probably get back to tightening this screw before it drives me even crazier.\n[01:16 - 01:20] Speaker B: Yeah, you probably should. Thanks for fixing that, by the way.\n[01:21 - 01:25] Speaker A: No problem. Just doing my part to keep things in working order around here."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--123906.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I really think it would be best if you resigned.\n[00:02 - 00:05] Speaker B: I don't know, I'm not sure that's what I want to\n[00:04 - 00:15] Speaker A: Listen, Kiya, I think this is the best thing for you. You're obviously not happy here, and it's just going to get more difficult to find satisfaction if you stay in this environment.\n[00:19 - 00:23] Speaker B: But what about my career? This is all I've ever wanted to do.\n[00:23 - 00:29] Speaker A: We can find you something else. Something that will make you happier. You don't have to stay here and suffer.\n[00:29 - 00:30] Speaker B: I don't know...\n[00:30 - 00:34] Speaker A: Just trust me on this, okay? It's for the best."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--369090.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Mom. I wanted to ask you something.\n[00:02 - 00:03] Speaker B: Sure, what is it?\n[00:04 - 00:16] Speaker A: I found this book at school today and I really want to read it. But it's one of those books that's maybe not appropriate for me yet. You know, because of the subject matter. So I was wondering if you would\n[00:16 - 00:20] Speaker B: Oh, do you mean it's one of those books that might have some mature themes? Which book is it?\n[00:26 - 00:31] Speaker A: Yeah, exactly. It's called *The Catcher in the Rye*.\n[00:31 - 00:49] Speaker B: Ah, yes. I've actually heard of this book before. It's supposed to be very good. But you're right, it might not be appropriate for you just yet. How about we compromise and you can read some of it now and then we'll  talk about the parts that might be a bit too mature for you, and I'll help you understand the deeper themes and messages that the author is trying to convey through the story.\n[00:50 - 00:54] Speaker A: Discuss it afterwards? That sounds great, thanks Mom!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--617278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Wow, Mom, that's a really beautiful painting. I'm so happy you bought it. It makes the whole room look so much\n[00:06 - 00:13] Speaker B: Sorry to interrupt, but I just have to ask—where did you find it? I don't think I've seen anything like this around before.\n[00:18 - 00:23] Speaker A: I got it from a local art gallery. I thought it would be a nice addition to the living room.\n[00:23 - 00:29] Speaker B: It definitely is. I love the way the colors make the room feel so warm and inviting.\n[00:29 - 00:33] Speaker A: Yes, I agree. The artist did a really good job with that.\n[00:33 - 00:34] Speaker B: Do you know who the artist is?\n[00:35 - 00:40] Speaker A: No, I don't remember their name, but it's great to have something unique from a local gallery.\n[00:40 - 00:44] Speaker B: That's cool. I'm glad we have something like that nearby.\n[00:44 - 00:48] Speaker A: Me too. It's always nice to support local businesses."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--842885.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, doctor. I'm here about my broken arm.\n[00:03 - 00:05] Speaker B: Hi, Carlisle. Let's take a look at your arm.\n[00:06 - 00:09] Speaker A: It hurts a lot. I can't even move it without pain.\n[00:10 - 00:14] Speaker B: That sounds like a serious break. We'll need to put a cast on it to help it heal properly.\n[00:15 - 00:21] Speaker A: Okay, but how long will I have to wear the cast? And will I be able to play the violin\n[00:20 - 00:27] Speaker B: Sorry to interrupt, but before we talk about playing the violin, I need to know if you have any allergies to materials we might use for the cast.\n[00:32 - 00:37] Speaker A: No, I don't have any allergies. So, about the cast, how long will I need to wear it?\n[00:38 - 00:59] Speaker B: The cast will need to stay on for at least six weeks, and then we'll see how your arm is healing and go from there. As for playing the violin again, with proper healing and physical therapy, there's no reason why you shouldn't be able to  participate in your concert, but we will need to monitor your progress closely and adjust your therapy regimen based on how quickly your arm regains its full range of motion.\n[00:59 - 01:04] Speaker A: That's reassuring to hear. But what kind of physical therapy will I need to do?\n[01:04 - 01:13] Speaker B: Physical therapy will involve exercises to regain strength and flexibility in your arm. Don't worry, we'll take care of you and get your arm healed up in no time."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--8820.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, I wanted to talk to you about something.\n[00:02 - 00:03] Speaker B: What's up?\n[00:03 - 00:07] Speaker A: Well, you know how I borrowed that money from you a while ago?\n[00:07 - 00:08] Speaker B: Yeah, what about it?\n[00:09 - 00:18] Speaker A: I've been feeling really guilty about it and I just wanted to make sure that you're not mad at me. I'll pay you back as soon as I can, I\n[00:17 - 00:24] Speaker B: Hey, don't stress about it. I wasn't even thinking about it, seriously. Are you okay? It sounds like this has been bothering you.\n[00:29 - 00:33] Speaker A: I just didn't want to cause any tension between us. Are you sure we're good?\n[00:34 - 00:37] Speaker B: Seriously, don't worry about it. Let's just forget about it, okay?\n[00:38 - 00:41] Speaker A: Alright, if you're sure. Thanks for understanding.\n[00:41 - 00:43] Speaker B: No problem, that's what friends are for."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--538365.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Stephan. I'm really sorry about breaking your vase. It was an accident.\n[00:05 - 00:06] Speaker B: What happened?\n[00:06 - 00:13] Speaker A: I was moving too fast and I accidentally knocked it over. I know how much you loved that vase and I feel\n[00:12 - 00:17] Speaker B: Wait, was it the one I got from my grandmother? The one with the blue patterns?\n[00:22 - 00:25] Speaker A: Yes, that one. I feel terrible about what happened.\n[00:26 - 00:29] Speaker B: It's not your fault. These things happen. Accidents happen.\n[00:30 - 00:35] Speaker A: Yeah, but still. I feel bad about it and I want to make it up to you somehow.\n[00:35 - 00:41] Speaker B: There's nothing you can do, Jamon. Just forget about it and move on. I don't want you to keep feeling bad about this.\n[00:42 - 00:52] Speaker A: I can't just forget about it, Stephan. That vase meant a lot to you. Are you sure there's nothing I can do? Please, let me try to make it right somehow.\n[00:52 - 01:02] Speaker B: Fine, if it will make you feel better, go ahead and try to make it up to me  by finding a similar vase or creating something meaningful that could honor the memory of my grandmother's cherished possession."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--420707.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Hey, Sarah! I'm so glad you're here. I've been dying to tell you all about my new diet. It's amazing, I've lost 10 pounds in just two\n[00:09 - 00:16] Speaker B: Wow, 10 pounds? That's impressive, Ericka. But, are you sure this diet is safe? Sometimes rapid weight loss can be a bit concerning.\n[00:21 - 00:54] Speaker A: Yeah, I totally understand your concern, but I've been really careful about it. I did a lot of research before starting, and it's not just about losing weight; it's about feeling healthier overall. I mean, it was really hard at first, but once I got used to it, it was a breeze. Plus, now that I'm thinner, I feel so much better about myself. You should really try it too, Sarah. It's not as hard as you  might think, especially once you get into a routine and start seeing the positive changes in both your energy levels and overall wellbeing.\n[00:54 - 01:03] Speaker B: Ericka, I appreciate the suggestion, but honestly, I'm really content with where I am right now. I think it's important to love our bodies as they are, don't you think?\n[01:03 - 01:11] Speaker A: I get that, Sarah, and self-love is so important. I just want you to feel as great as I do. But I totally respect your choice."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--15103.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, boss.\n[00:01 - 00:03] Speaker B: Hey, Jaylani. How are you doing?\n[00:04 - 00:08] Speaker A: I'm doing alright. I was actually hoping to talk to you about something.\n[00:09 - 00:09] Speaker B: Sure, what's up?\n[00:10 - 00:22] Speaker A: Well, I was wondering if there might be any chance of me being transferred to a different location. I've been wanting to move for a while now and when this opportunity came up, I thought it would be a good\n[00:21 - 00:28] Speaker B: Sorry to interrupt, but when you say \"move,\" are you considering a specific city or region? It might help narrow down the options.\n[00:33 - 00:40] Speaker A: Yes, I'm actually thinking about moving to the West Coast. I believe there are a few branches there that might have openings.\n[00:40 - 00:49] Speaker B: Let me see what I can do. I'll talk to HR and see if there are any open positions at other locations that you could transfer to. I'll get back to you as soon as possible."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--869501.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Mom, I'm so excited about the play! I've been practicing my lines every day, and I think I'm really going to\n[00:07 - 00:14] Speaker B: Hold on, Kohl, have you also been practicing your cues with the other actors? Timing is just as important as knowing your lines.\n[00:19 - 00:25] Speaker A: Oh, definitely! We've been rehearsing together after school. I think I'm really going to nail this role.\n[00:26 - 00:36] Speaker B: That's great, Kohl! I'm sure you'll do a wonderful job. Just remember to stay focused and don't let nerves get the best of you. You'll be able to handle anything that comes your way if you stay calm.\n[00:36 - 00:42] Speaker A: Speaking of nerves, do you have any tips on how to stay calm before going on stage?\n[00:42 - 00:48] Speaker B: Absolutely! Deep breathing really helps. Also, try to visualize the performance going well. You'll be great.\n[00:48 - 00:56] Speaker A: Thanks, Mom. I know I can do this. I'm just so excited to be performing in front of an audience. It's going to be a lot of fun.\n[00:56 - 01:01] Speaker B: I'm sure it will be. Just remember to give it your all and enjoy the experience."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--126878.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Sarah, can you come over here for a minute? I want to ask you something.\n[00:04 - 00:05] Speaker B: Sure. What's up?\n[00:06 - 00:12] Speaker A: I'm doing some research on the effects of the unknown, and I was wondering if you could help me with some\n[00:11 - 00:17] Speaker B: Oh, absolutely! Is this for a specific project you're working on, or just general research?\n[00:22 - 00:30] Speaker A: It's for a project I'm working on. I want to know if people are more scared or more curious when they can't see or don't understand something.\n[00:30 - 00:34] Speaker B: That's a tough question. I'm not sure how people would react in that situation.\n[00:35 - 00:41] Speaker A: Well, let's say you're in a dark room and you can't see anything. Would you be more scared or more curious?\n[00:42 - 00:45] Speaker B: I think I would be more scared. I don't like not knowing what's around me.\n[00:46 - 00:52] Speaker A: Okay, what about if you were in a room full of strange noises? Would you be more scared or more curious?\n[00:52 - 00:59] Speaker B: Again, I think I would be more scared. I wouldn't want to investigate what was making the noise because it might be something dangerous.\n[00:59 - 01:02] Speaker A: Alright, well thank you for your help, Sarah."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--860576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I'm sorry to have to say this, but I think our current situation is not working out well. I would like to improve it if possible.\n[00:07 - 00:11] Speaker B: Of course, what do you suggest we do to improve the situation?\n[00:11 - 00:29] Speaker A: Actually, I was thinking that our communication could be better. For example, I often feel like I'm not getting clear instructions from you, and as a result, my work isn't up to your standards. Also, I feel like you're constantly putting me down in front of other people and it's really undermining my confidence.\n[00:30 - 00:48] Speaker B: I see. Well, first of all, I'm sorry if I've been unclear with my instructions. That wasn't my intention. As for putting you down in front of others, that was never my intention either. I just want you to understand that when it comes to your work, there's always room for improvement. However, I appreciate your honest feedback and I'll try to do better in both\n[00:47 - 01:03] Speaker A: I really appreciate that, and I think it will make a big difference. But I also think it would be helpful if we could set some clear goals and expectations for my work. That way, I would know exactly what you're looking for and I could put all of my effort into meeting those standards.\n[01:09 - 01:14] Speaker B: That sounds like a great idea. Let's sit down and come up with some specific goals for your work."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--168398.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I can't believe we're doing this! We're finally getting out of this small town.\n[00:04 - 00:08] Speaker B: I know, I can't believe it either. We've been planning this for so\n[00:07 - 00:15] Speaker A: I know! It feels like we've been waiting forever. I'm just so excited to finally be leaving. This town has nothing for us.\n[00:20 - 00:24] Speaker B: I know, me too. I can't wait to see the world and experience new things.\n[00:25 - 00:29] Speaker A: But are you sure you're ready for this? It's a big step.\n[00:29 - 00:42] Speaker B: Of course I am! I've been waiting for this my whole life. Besides, what choice do we have? We can't stay here  and let our dreams slip away when there's a whole world out there waiting to be explored and new opportunities just beyond the horizon.\n[00:43 - 00:48] Speaker A: I agree, but leaving everything we know behind... it's still scary, isn't it?\n[00:48 - 00:54] Speaker B: Don't worry, Tiana. I'll be with you every step of the way. We'll make it through anything together, just like we always have."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--836740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Why do you think people litter? It's so annoying.\n[00:03 - 00:06] Speaker B: I don't know. Maybe they're just lazy or\n[00:05 - 00:17] Speaker A: Lazy? That's the worst excuse ever. If they're too lazy to pick up their trash, then they should just pay a fine or something. It's not fair to the rest of us who have to look at their messes.\n[00:22 - 00:24] Speaker B: I guess you're right. It is kind of inconsiderate.\n[00:25 - 00:38] Speaker A: It's not just inconsiderate, it's illegal. I've called the police on people before for  throwing trash out of their car windows while driving through the neighborhood, especially when children are playing nearby and could get hurt by the debris.\n[00:38 - 00:42] Speaker B: Wait, you've actually called the police on someone for littering? What happened?\n[00:43 - 00:56] Speaker A: Yeah, I did. They were fined, and it made me feel like I was doing something to help keep the area clean. But more importantly, if more people knew it was against the law, maybe they would think twice before they threw their trash on the ground."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1130331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey guys, what's up?\n[00:01 - 00:04] Speaker B: Not much, just hanging out. What's up with you?\n[00:05 - 00:09] Speaker A: I'm just getting ready for my classes and work. I'm really\n[00:08 - 00:14] Speaker B: Oh, speaking of work, have you managed to balance everything? It sounds like you have a lot on your plate.\n[00:19 - 00:26] Speaker A: Yeah, it's been challenging, but I'm managing. I was going to say I'm really busy these days.\n[00:26 - 00:28] Speaker B: That's great! We're all really proud of you.\n[00:29 - 00:31] Speaker A: Thanks, guys. I appreciate it.\n[00:32 - 00:33] Speaker B: So, how's college going?\n[00:34 - 00:47] Speaker A: It's going well. I'm learning a lot and I'm really enjoying  the new subjects and projects I'm working on, especially the research opportunities that allow me to apply theoretical knowledge in practical scenarios.\n[00:47 - 00:53] Speaker B: Sorry to jump in, but do you think you'll have time to catch up with us this weekend? We haven't hung out in a while.\n[00:53 - 01:01] Speaker A: I'd love to, but it depends on my workload. I was about to say I'm really enjoying my classes, but they do keep me busy.\n[01:01 - 01:04] Speaker B: That's great! What are you planning on doing after you graduate?\n[01:05 - 01:14] Speaker A: I'm not sure yet. I'm considering going to grad school, but I haven't decided for sure. I might also look into getting a job in my field of study.\n[01:15 - 01:19] Speaker B: That sounds like a great plan! We'll support you whatever you decide to do."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--535368.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey John! I'm so glad you came over.\n[00:03 - 00:07] Speaker B: Hey Celest! I was just in the neighborhood and thought I'd stop by.\n[00:07 - 00:08] Speaker A: So what's been up?\n[00:09 - 00:12] Speaker B: Not much, just hanging out with friends and stuff.\n[00:12 - 00:15] Speaker A: That sounds fun. I wish I could do that more often.\n[00:16 - 00:22] Speaker B: Yeah, it is fun. But I don't want to do it all the time. You know, sometimes it's nice to just stay home and relax.\n[00:22 - 00:44] Speaker A: Yeah, I know what you mean. It's like, when you're always out and about, you never really get a chance to appreciate your own company. And then when you're by yourself, you realize how great it can be just to have some peace and quiet for once! (She laughs) But seriously though, I do get lonely sometimes. It would be nice to have someone to spend more time with… like\n[00:44 - 00:50] Speaker B: Like me? Are you saying you want us to hang out more often? Because, honestly, I was thinking the same thing. We always have a good time together.\n[00:56 - 01:02] Speaker A: Yeah, exactly. I feel like we really get each other, and it's just easy being around you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--810606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Mrs. Johnson, I lost my lunch money. Can I look for it after\n[00:03 - 00:09] Speaker B: Simeon, if you lost it in the classroom, we can take a quick look now before you get too worried. Does that sound good?\n[00:14 - 00:23] Speaker A: That would be great, thank you, Mrs. Johnson. I just hope I can find it, otherwise, I'll have to go hungry during lunch, and I was really looking forward to today's meal.\n[00:24 - 00:31] Speaker B: Oh, don't worry about that. If it doesn't turn up, we'll make sure you have something to eat. Let's start looking now, okay?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--977664.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: What are you talking about? I didn't do anything to you.\n[00:04 - 00:13] Speaker B: You know exactly what I'm talking about! You made that horrible joke about me in front of everyone and it was so humiliating! I can't believe you would do something like that to\n[00:12 - 00:19] Speaker A: Look, I'm sorry if you were offended by the joke, but I didn't mean it in a bad way. I was just trying to be funny.\n[00:25 - 00:41] Speaker B: Well, it wasn't funny. It was hurtful and mean. And it's not like this is the first time you've done something like this to me. You always make fun of me and belittle me in front of other people and it's really  making me feel like you don't respect me as a person or value our friendship enough to consider my feelings before speaking.\n[00:41 - 00:50] Speaker A: I don't mean to hurt your feelings, Deborah. I'm just teasing you because I care about you and I want to make sure you don't take yourself too seriously.\n[00:50 - 00:56] Speaker B: Well, maybe I don't want to be teased all the time! Maybe I just want to be treated with respect and kindness!\n[00:56 - 01:02] Speaker A: Fine, Deborah. If that's what you want, then I'll stop teasing you. But can we still be friends?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--277322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hi, Jamonte. I saw that you were admiring my pony the other day, so I thought I would give her to\n[00:06 - 00:10] Speaker B: Oh, Ahron, thank you so much! She's beautiful. I've always wanted a pony.\n[00:15 - 00:25] Speaker A: You're welcome. I'm glad you like her. Can I ride  her with you sometime? It would be fun to go for a ride together through the fields and maybe even have a picnic by the old oak tree.\n[00:26 - 00:27] Speaker B: Can I ride her now?\n[00:27 - 00:33] Speaker A: Of course. Just be careful not to go too fast at first. The saddle is a little slippery.\n[00:33 - 00:37] Speaker B: OK, I will be careful. Thanks again, Ahron!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1017701.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, happy birthday! It's been a while since I've\n[00:02 - 00:07] Speaker B: Hey, thanks for coming! Yeah, it's been a few years. How have you been?\n[00:12 - 00:20] Speaker A: I've been good. Just working and living the normal life, nothing too exciting. What about you? How have you been since I last saw you?\n[00:20 - 00:31] Speaker B: I've been good too. Just graduated college and started my first real job. It's a lot of work, but  I'm really learning a lot and growing professionally while also making valuable connections in my industry.\n[00:31 - 00:35] Speaker A: Oh wow, congrats on the new job! What kind of work are you doing?\n[00:36 - 00:43] Speaker B: Thanks! I'm working in marketing for a tech company. It's been challenging but rewarding. I was about to say, it's a lot of work, but I'm enjoying it.\n[00:43 - 00:50] Speaker A: That sounds great! Congratulations on graduating college and getting a job. That's a big accomplishment these days.\n[00:51 - 00:57] Speaker B: Thanks, I worked hard for it and I'm glad it's paying off. So what have you been up to lately? Anything new and exciting?\n[00:57 - 01:03] Speaker A: Not too much, just the usual. I did just get a new car though, so that's been exciting.\n[01:03 - 01:05] Speaker B: That's great! What kind of car did you get?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1076439.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Wow, you're really good at tennis! I've never seen anyone hit the ball so\n[00:04 - 00:10] Speaker B: Oh, thanks! By the way, do you have any specific areas you're struggling with? Maybe I can give you some tips right now.\n[00:15 - 00:22] Speaker A: Actually, my backhand needs a lot of work. I've been trying to improve it, but it just doesn't feel right.\n[00:22 - 00:31] Speaker B: It's not as easy as it looks. It takes a lot of practice and dedication to become good at tennis. But I think you have potential. With some more practice, you could be really good too.\n[00:32 - 00:37] Speaker A: That's what I'm hoping for. I really enjoy playing, but I still need to work on my skills.\n[00:38 - 00:43] Speaker B: Well, if you ever need any help or tips, feel free to ask me. I'd be happy to help you out."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--126313.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Saba! Where are you going?\n[00:02 - 00:05] Speaker B: Oh, sorry Shantelle. I saw a friend and ran\n[00:04 - 00:09] Speaker A: Wait, you just left me standing there! I felt really upset when you left me alone.\n[00:15 - 00:24] Speaker B: I'm sorry, Shantelle. I didn't mean to leave you alone. I just got excited when  I saw my friend and didn't think it through properly, which was really inconsiderate of me.\n[00:24 - 00:28] Speaker A: I get it, but next time, just let me know first, okay?\n[00:29 - 00:33] Speaker B: You're right, I should have. Do you want to come with us? We can all hang out together.\n[00:33 - 00:35] Speaker A: Sure, that sounds great."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--784062.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Thank you so much for the cookies, they're delicious!\n[00:03 - 00:07] Speaker B: Oh, it's no problem at all. I'm just glad I could help you out with the fence.\n[00:07 - 00:11] Speaker A: Yeah, it was getting pretty bad. I appreciate your\n[00:11 - 00:17] Speaker B: Sorry, I just remembered, did you also need help with the garden? I noticed it looked like it could use some attention.\n[00:22 - 00:36] Speaker A: Oh, the garden? Yes, actually, I was thinking about that. But I haven't finished thanking you for the fence  and all the hard work you put into it, especially considering how difficult those old posts were to remove and replace with new ones.\n[00:37 - 00:42] Speaker B: Oh, don't mention it! But seriously, if you need help with the garden or anything else, just let me know."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--662948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, I've been thinking about starting a new project and I wanted to get your opinion on it.\n[00:05 - 00:06] Speaker B: Sure, what's the project?\n[00:07 - 00:18] Speaker A: Well, I was thinking about starting a blog where I write about personal finance. I would share tips on how to save money, invest wisely, and stay out of debt. What do you\n[00:17 - 00:23] Speaker B: Sorry to cut in, but how do you plan to make your blog stand out from all the other personal finance blogs out there?\n[00:28 - 00:36] Speaker A: That's a good point. I was planning to focus on personal stories and real-life examples to make it more relatable. What do you think?\n[00:37 - 00:50] Speaker B: That sounds like a great idea! I know a lot of people who could definitely use some help in that area. Plus, it seems like there's always new information to share on the topic of personal finance, so you'd never run out of things to write about. Count me in as a reader!\n[00:51 - 01:05] Speaker A: Awesome, I'm glad you think it's a good idea. I was worried you might think it was a little  too niche or not engaging enough for a broad audience since personal finance can sometimes be perceived as dry or intimidating by many people.\n[01:05 - 01:15] Speaker B: Boring? Not at all! I think it sounds like it has the potential to be really helpful and informative. I'm sure there are plenty of people out there who would find it interesting and useful.\n[01:15 - 01:22] Speaker A: Yeah, I hope so. I'm going to start working on it right away. Thanks for the encouragement!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--741600.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm just not sure if this is what I want anymore.\n[00:03 - 00:07] Speaker B: What do you mean? We've been together for months now, and things were going\n[00:06 - 00:13] Speaker A: I don't know. I just feel like we're on two different wavelengths. It doesn't feel like we're really connecting anymore.\n[00:19 - 00:23] Speaker B: Maybe we just need to communicate more. I'm always open to talking about whatever is on your mind.\n[00:24 - 00:28] Speaker A: It's not that simple. I just don't think this is what I want right now.\n[00:29 - 00:35] Speaker B: Why? Is there someone  else you're interested in, or is it something I did that made you feel this way about our relationship?\n[00:35 - 00:45] Speaker A: No, it's not that. It's just...I don't know, everything feels so heavy and complicated right now. I need some time to figure things out on my own.\n[00:45 - 00:51] Speaker B: I can't believe you're saying this. We've been through so much together. I thought we were in this for the long haul.\n[00:51 - 00:54] Speaker A: I'm sorry, Casen. I just can't do this right now.\n[00:55 - 00:58] Speaker B: Fine. If that's what you want, then I guess we're done."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--719833.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Wow, this food is amazing! I'm so glad I decided to come here.\n[00:04 - 00:07] Speaker B: I know, right? It's one of my new favorite places.\n[00:08 - 00:09] Speaker A: Have you been coming here long?\n[00:10 - 00:17] Speaker B: Not too long. I just found out about it a few weeks ago from a friend. But I've been coming here pretty regularly ever since I first tried their\n[00:16 - 00:21] Speaker A: Oh, by the way, do they change their menu often, or is it usually the same?\n[00:26 - 00:36] Speaker B: They do have seasonal specials, but the main menu stays pretty consistent. I was saying, I've been coming here regularly ever since. It's definitely a hidden gem. But I'm glad we found it!\n[00:37 - 00:38] Speaker A: Yes, me too!\n[00:38 - 00:40] Speaker B: So, Sarah, what do you do for a living?\n[00:41 - 00:47] Speaker A: I'm a graphic designer. I work for a small company that focuses on branding and digital media.\n[00:47 - 00:53] Speaker B: Wait, are you the one who designed that logo for the new coffee shop downtown? It looks amazing!\n[00:53 - 01:06] Speaker A: No, that wasn't me, but thank you! I work for a small company downtown. It's definitely a lot of work, but it's also really rewarding. I love being able to create something that people can enjoy.\n[01:06 - 01:11] Speaker B: Yeah, I can imagine. It seems like it would be very creative and satisfying.\n[01:11 - 01:15] Speaker A: It definitely is. What about you? What do you do?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--571413.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Wow, that was amazing! I've never kissed someone like that before.\n[00:04 - 00:08] Speaker B: I know, me neither. It just felt so natural and\n[00:07 - 00:11] Speaker A: Sorry, I just have to say, do you think this means something more for us?\n[00:16 - 00:20] Speaker B: I think it does. I feel like we really connected on some level.\n[00:20 - 00:22] Speaker A: Yeah, I feel it too.\n[00:23 - 00:24] Speaker B: So, what do you want to do next?\n[00:24 - 00:30] Speaker A: I don't know, what do you think we should do? Maybe we should take a walk and talk about this.\n[00:30 - 00:36] Speaker B: Actually, I was thinking, maybe we should talk about what this means for our relationship before we decide.\n[00:36 - 00:40] Speaker A: I guess we could just keep kissing or we could go somewhere more private.\n[00:40 - 00:42] Speaker B: Let's go somewhere more private."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--556475.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Emeli. How was your day?\n[00:03 - 00:05] Speaker B: It was good. I got a lot\n[00:04 - 00:10] Speaker A: Sorry to cut in, but when you say \"a lot,\" do you mean schoolwork or other activities too?\n[00:16 - 00:23] Speaker B: Mostly schoolwork. I finished my math homework, worked on a project for science, and read a chapter in my history book.\n[00:23 - 00:26] Speaker A: Wow, you were really productive! I'm proud of you.\n[00:27 - 00:34] Speaker B: Thanks. I'm just trying to get ahead so I can have more free time  later in the week when my friends want to hang out or if any spontaneous adventures come up.\n[00:35 - 00:38] Speaker A: Speaking of free time, do you have any plans for the weekend?\n[00:39 - 00:45] Speaker B: Not yet, but I'm hoping to relax a bit. I'll let you know if I need any help with anything, thanks, Leilah."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--910635.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I'm so excited for the reunion! I have a great plan to make it the best one\n[00:04 - 00:07] Speaker B: What's your plan? I'm curious about how you're going to pull this off.\n[00:12 - 00:20] Speaker A: I've been making a list of all the things we'll need and getting everything ready. I can't wait to see everyone's reaction when they see what I've prepared.\n[00:21 - 00:26] Speaker B: That sounds like a lot of work. Are you sure you're up for it? I mean, organizing everything can be pretty exhausting.\n[00:27 - 00:33] Speaker A: Of course! This is going to be great. Everyone will be so impressed with how well it goes.\n[00:33 - 00:36] Speaker B: I hope so. I know how much you've been looking forward to it.\n[00:37 - 00:40] Speaker A: I have! This is going to be the best reunion ever."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--125527.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Look, I need to know if you're in or not. This is important to\n[00:04 - 00:06] Speaker B: Dayson, I don't know. It's just...\n[00:12 - 00:14] Speaker A: Just what? Come on, man, you owe me this.\n[00:15 - 00:23] Speaker B: I know, I know. But it's a lot of  responsibility, and I'm not sure if I can handle it right now with everything else going on in my personal life and work commitments.\n[00:23 - 00:28] Speaker A: Money, I get it. But we've been over this already. I can't do it without you.\n[00:29 - 00:31] Speaker B: Okay, okay. I'm in."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1054099.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I can't believe people would be so irresponsible!\n[00:03 - 00:04] Speaker B: What are you talking about?\n[00:04 - 00:09] Speaker A: I just saw someone doing drugs at the party. It made me so angry that I\n[00:08 - 00:14] Speaker B: Sorry to interrupt, but did you report it to anyone? It's important that the organizers know about this.\n[00:19 - 00:30] Speaker A: No, I was too upset to think about that. But yeah, that is pretty irresponsible. But not everyone does drugs, you know. There are plenty of people who don't and who have a great time without them.\n[00:30 - 00:43] Speaker B: I know, but it still bothers me. It's like they're ruining the fun for everyone else by doing something so stupid and  putting themselves and others at risk of serious legal consequences and long-term health problems that could affect their entire future.\n[00:43 - 00:56] Speaker A: Dangerous, yes, I understand. But try not to let it ruin your night. Just remember that not everyone is the same and that there are lots of people who don't do drugs and who have a great time without them."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--770919.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Mom, I'm old enough to drive. I can take the keys.\n[00:04 - 00:08] Speaker B: No, Janyla. I'm the grown-up here. You're just a\n[00:07 - 00:11] Speaker A: But Mom, I'm responsible. I promise I'll be careful.\n[00:16 - 00:30] Speaker B: No, Janyla. I don't want you driving my car. It's too much responsibility for you right now. Maybe when you're a little older, but  until then, we'll stick to our current arrangement where I drive you places until we both feel more comfortable with your driving skills and judgment.\n[00:30 - 00:33] Speaker A: But Mom! Everyone my age is driving! Why can't I?\n[00:34 - 00:43] Speaker B: Because not everyone your age is responsible enough to handle that kind of responsibility, and I don't want to take that chance with you. I'm sorry, but my answer is no.\n[00:43 - 00:45] Speaker A: Fine. I'll just walk then.\n[00:46 - 00:49] Speaker B: Janyla, it's dark out. You shouldn't be walking by yourself.\n[00:50 - 00:53] Speaker A: I don't care. I'd rather walk than ride with you.\n[00:54 - 00:56] Speaker B: Janyla, don't be like that. Come on, let's go home.\n[00:57 - 01:00] Speaker A: No! I'm not going home with you. I'm walking!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--435477.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I can't believe it! They're actually going on tour!\n[00:03 - 00:03] Speaker B: Who?\n[00:04 - 00:07] Speaker A: My favorite band in the world! They're called The Strangers.\n[00:07 - 00:13] Speaker B: Oh, I've never heard of them. But that's really cool that they're going on tour. When are they planning to start the\n[00:12 - 00:18] Speaker A: Sorry to jump in, but how have you never heard of The Strangers? They've been around for years!\n[00:23 - 00:27] Speaker B: I guess I just missed them somehow. But seriously, when are they touring?\n[00:27 - 00:34] Speaker A: All summer long. But there are no dates near us. So I won't be able to go to any of the concerts.\n[00:34 - 00:43] Speaker B: That sucks. I'm sorry you won't be able to see them live. Do you think they'll release any new music before the tour kicks off? It would be great if they surprised their fans with something new.\n[00:43 - 00:59] Speaker A: Tour starts? I hope so. I've been waiting for a new album from them for years now. But even if they don't, I'm still excited to see them play all their old songs live on stage. It's just a shame that I won't be able to be there in person to see it happen.\n[00:59 - 01:05] Speaker B: Yeah. I wish you could go too. But maybe you can find a way to stream the concert online or something.\n[01:05 - 01:14] Speaker A: Yeah, that's a good idea. I'll look into it. Thanks for listening to me vent about this. It's just really disappointing news.\n[01:14 - 01:15] Speaker B: Of course, anytime."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--906708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Thank you so much for the kind words, Mrs. Smith. It's truly my pleasure to help keep your home looking beautiful. I know how important it is to you and I'm glad I can be of\n[00:10 - 00:18] Speaker B: Adeline, you are far too modest. I don't know what I would do without you! You have been such a help to me over the years and I really appreciate it.\n[00:23 - 00:29] Speaker A: Oh, it's nothing, really. I just enjoy doing it and I'm happy to help out however I can.\n[00:30 - 00:38] Speaker B: Well, I appreciate it nonetheless. You're a very talented young man and I'm sure you'll achieve great things in the future with your dedication and hard work.\n[00:38 - 00:49] Speaker A: Sorry to interrupt, Mrs. Smith, but I wanted to mention that I didn't get to finish earlier. I'm glad I can be of assistance, especially with the garden. It's my favorite part of the job.\n[00:49 - 00:54] Speaker B: Oh, of course! The garden looks absolutely wonderful. You really have a knack for it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--729972.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Joe. I wanted to talk to you about something.\n[00:03 - 00:04] Speaker B: What's up?\n[00:04 - 00:08] Speaker A: I've been thinking about becoming a\n[00:06 - 00:10] Speaker B: Wait, are you serious? Have you been boxing before?\n[00:15 - 00:19] Speaker A: No, but I've always wanted to try it. And I think I'm pretty good at it.\n[00:19 - 00:35] Speaker B: It's not just about being good at it. Boxing is a really tough sport. It takes a lot of dedication and discipline. Are you sure you're ready  to commit to the intense training and lifestyle changes that come with it, including early morning workouts, strict dieting, and potentially dangerous sparring sessions?\n[00:35 - 00:40] Speaker A: I know it's tough, but I'm ready for the challenge. I'm willing to put in the work.\n[00:40 - 00:46] Speaker B: Okay, well let me know if you change your mind. In the meantime, I'll start teaching you some basics."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--928982.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, I'm Milah. I'm an investor.\n[00:03 - 00:05] Speaker B: Hi, Milah. What can I do for you?\n[00:05 - 00:10] Speaker A: I'm looking to invest in some new companies. Do you have any recommendations?\n[00:10 - 00:17] Speaker B: Well, it depends on what you're looking for. Are you looking for high-risk/high-reward investments, or are you more\n[00:17 - 00:24] Speaker A: I'm definitely leaning towards high-reward. I want to make as much money as possible, so I'm willing to take risks.\n[00:29 - 00:38] Speaker B: Okay, well, there are a few companies that might be worth investing in then. Let me show you some of their financial reports and we can go over potential returns and risks together.\n[00:39 - 00:49] Speaker A: Before we dive into the reports, could you give me a quick overview of the industries these companies are in? I want to make sure they align with my interests."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--114598.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Hey, Mom. I was riding my bike around the block and I heard a loud pop. I got off my bike to find that my tire had a big hole in it and was completely flat. Zaylie felt upset because now he would have to\n[00:12 - 00:20] Speaker B: Wait, did you say there was a loud pop? That sounds like it could have been something sharp on the road. Did you notice anything unusual before that?\n[00:25 - 00:30] Speaker A: I don't know. I was just riding along and then suddenly my tire was flat.\n[00:30 - 00:35] Speaker B: Well, let's take a look at it and see if we can figure out what happened. Did you hit something?\n[00:35 - 00:40] Speaker A: I don't think so. I didn't see anything when I got off the bike to check the tire.\n[00:41 - 00:54] Speaker B: Hmmm, well sometimes things can happen without us realizing it. Maybe you ran over a nail or something sharp without knowing it. Anyway, we'll have to get you a new tire for your bike. Fortunately, we have an extra one in the garage that should fit your bike.\n[00:54 - 00:56] Speaker A: Okay, thanks, Mom.\n[00:56 - 01:00] Speaker B: You're welcome. Now let's get that tire changed so you can ride your bike again."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--535550.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey Tyree, how are you doing today?\n[00:02 - 00:06] Speaker B: Hey Beckam! I'm doing well, thanks for asking. How about you?\n[00:06 - 00:10] Speaker A: I'm doing alright. Just hanging out, doing some work.\n[00:11 - 00:12] Speaker B: What kind of work are you doing?\n[00:13 - 00:18] Speaker A: I'm a web developer, so I'm working on some code for a new\n[00:17 - 00:23] Speaker B: Oh, that reminds me—I'm actually looking to update my personal blog. Do you think you could help me with that?\n[00:27 - 00:37] Speaker A: Sure, I can definitely help you with your blog. I was just about to say the website I'm working on is for a client, but I'd be happy to take a look at your blog too.\n[00:37 - 00:41] Speaker B: That sounds really cool! I wish I could do something like that.\n[00:41 - 00:54] Speaker A: It's not too difficult to learn the basics. You just have to be patient and put in the time  to practice regularly, and you'll start to see progress as you build small projects and gradually tackle more challenging concepts.\n[00:54 - 00:58] Speaker B: But what if I get stuck? I feel like I'd need someone to guide me through it.\n[00:59 - 01:08] Speaker A: That's totally understandable. If you ever change your mind or want to give it a try, let me know and I can help you out step by step.\n[01:08 - 01:11] Speaker B: Thanks Beckam, that's really sweet of you!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--526216.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi there! Are you looking for a new pair of shoes?\n[00:03 - 00:05] Speaker B: Yes, I am. I need a new pair of running shoes.\n[00:05 - 00:14] Speaker A: Great! We have a great selection of running shoes. Let me show you what we have. (Luigi shows the customer several pairs of running shoes.)\n[00:14 - 00:17] Speaker B: These all look great. It's hard to decide.\n[00:17 - 00:26] Speaker A: Yes, it can be tough to choose sometimes. But don't worry, we have plenty of time. Take your time and pick the pair that you like the\n[00:25 - 00:30] Speaker B: Actually, before I decide, do these shoes have good arch support? I need something that will help with that.\n[00:35 - 00:47] Speaker A: Absolutely, most of our running shoes are designed with excellent arch support. You can try them on to see how they feel. OK, I think I'll try these on. (The customer tries on a pair of shoes.)\n[00:47 - 00:48] Speaker A: How do they feel?\n[00:49 - 00:51] Speaker B: They're comfortable, but I'm not sure if I like the color.\n[00:52 - 00:58] Speaker A: Well, let's take a look at some other options. (Luigi shows the customer several more pairs of shoes.)\n[00:59 - 01:06] Speaker B: I like these better. But I'm not sure if they're the right style for my running routine. I usually run on trails, so I need something with good traction.\n[01:07 - 01:14] Speaker A: Oh, I can measure your feet to ensure you're getting the perfect fit. That way, you'll know for sure if they're the right size.\n[01:14 - 01:17] Speaker B: That sounds good. Yes, I'll take these."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--412246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Good afternoon, Ms. Smith.\n[00:01 - 00:04] Speaker B: Good afternoon, Sidra. How are you today?\n[00:04 - 00:10] Speaker A: I'm doing well, thank you. I just wanted to ask a question about the homework assignment from last night.\n[00:11 - 00:13] Speaker B: Sure, what's your question about the\n[00:12 - 00:20] Speaker A: Sorry to interrupt, but I was really confused about the second part of the assignment. Could you explain that part specifically?\n[00:25 - 00:32] Speaker B: Of course, let me take a look at it real quick. Okay, I see what you're struggling with. Let's work through it together and see if we can figure it out.\n[00:32 - 00:34] Speaker A: Thank you, Ms. Smith.\n[00:34 - 00:41] Speaker B: No problem, that's what I'm here for. Let's see if we can get you caught up on this assignment so you can be confident going into the test next week.\n[00:42 - 00:46] Speaker A: Oh, and I just realized, the test next week—will it cover similar problems?\n[00:47 - 00:58] Speaker B: Yes, it will, which is why it's important to understand this now. Let's focus on this so you're fully prepared for  the test and any future assignments that build upon these fundamental concepts we're covering today."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--203528.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Oh my gosh, Marciano! I'm so excited for you! I had no idea you were interested in photography!\n[00:06 - 00:11] Speaker B: Yeah, I've been getting into it lately. I just love capturing moments and\n[00:10 - 00:17] Speaker A: Sorry to jump in, but what kind of camera are you using? I've been thinking about getting into photography myself.\n[00:21 - 00:31] Speaker B: Oh, I'm using a Canon DSLR. It's been great for learning the basics. As I was saying, I just love capturing moments and memories, especially when I can experiment with different techniques.\n[00:32 - 00:35] Speaker A: That's so great! What do you like most about it?\n[00:35 - 00:46] Speaker B: I guess I just really enjoy the creative process. It's really fulfilling to be able to create something beautiful that will last forever, and it's amazing to see how my skills have improved over time.\n[00:46 - 00:50] Speaker A: Absolutely! Do you have any favorite subjects to photograph?\n[00:51 - 01:02] Speaker B: Hmm...I think my favorite thing to photograph is people. There's just something special about being able to capture someone's personality in a photo, especially when they're not even aware they're being photographed."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--180962.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Sasha, I need to talk to you about something important.\n[00:03 - 00:06] Speaker B: What is it, Jalicia? You seem serious.\n[00:06 - 00:18] Speaker A: I am. Sasha, I'm not sure if I'm cut out for this job. Being president is a lot harder than I thought it would be. There are so many things to think about and so many decisions to\n[00:17 - 00:24] Speaker B: Wait, Jalicia, are you saying you're considering stepping down? Because if that's the case, we need to talk about what that would mean for the team.\n[00:29 - 00:38] Speaker A: No, I'm not stepping down, but sometimes I feel like I'm in over my head. There's just a lot to manage, and it gets overwhelming.\n[00:38 - 01:00] Speaker B: I get it, Jalicia. But remember, you're doing a great job. Yes, it's tough, but you're handling it well. You're the one who wanted this job, remember? And you won by a good margin too. So don't second-guess yourself now. Just keep doing what you're doing and you'll be  able to navigate through the challenges with the same determination and strategic thinking that got you here in the first place. Trust yourself more.\n[01:00 - 01:08] Speaker A: Fine? I hope so. I just need to remind myself why I wanted this in the first place. Thanks for listening, Sasha.\n[01:08 - 01:11] Speaker B: Of course, Jalicia. That's what I'm here for."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--500115.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey Keishawn, I saw what you did and I don't approve. You need to stop going into the girls' locker\n[00:05 - 00:09] Speaker B: Why are you making such a big deal out of this? It's just a locker room.\n[00:14 - 00:18] Speaker A: It's not appropriate and it makes the girls feel uncomfortable.\n[00:18 - 00:22] Speaker B: So what, they can just deal with it. It's not a big deal.\n[00:22 - 00:33] Speaker A: Yes, it is a big deal! They shouldn't have to deal with something like that, it's not  fair to put them in that position when they're just trying to change or shower in what should be a private and secure environment.\n[00:34 - 00:38] Speaker B: But why does it matter so much to you? It's not like anyone got hurt.\n[00:38 - 00:45] Speaker A: It matters because everyone deserves to feel safe and respected. And invading their space like that is crossing a line."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--82370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, I'd like to deposit this check please.\n[00:03 - 00:12] Speaker B: Sure, let me just take a look at it real quick. (The teller looks at the check and sees that it's for $100.) Looks like everything is in order here. How would you like to\n[00:11 - 00:20] Speaker A: Sorry, before we proceed, I just realized—can you confirm if this deposit will be available immediately or if there's a hold on it?\n[00:25 - 00:35] Speaker B: Oh, good question. Typically, deposits like this will be available within one business day, but it can vary depending on your bank's policies. Now, how would you like to deposit this?\n[00:35 - 00:37] Speaker A: Into my checking account please.\n[00:37 - 00:51] Speaker B: Great, I can do that for you. Just give me a minute to process this. (The teller processes the deposit and hands Leandre a receipt.) There you go, sir. Your check has been deposited into your account. Is there anything else I can help you with today?\n[00:51 - 00:54] Speaker A: No, that's all for now. Thanks for your help!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--994948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey there! How are you today?\n[00:02 - 00:05] Speaker B: I'm doing well, thank you. Just enjoying the\n[00:04 - 00:09] Speaker A: Sorry to jump in, but by \"enjoying,\" do you mean you're out here for a swim too?\n[00:14 - 00:22] Speaker B: Actually, I was just about to say I'm enjoying the day. But yes, I do love swimming in this stream. It's so peaceful and calming.\n[00:22 - 00:27] Speaker A: It does look like a great place to relax. I might have to try it sometime myself.\n[00:28 - 00:40] Speaker B: Yeah, I highly recommend it. There's just something about being in the water that  helps you disconnect from everything else and truly be present in the moment, feeling weightless and free as the current carries your worries away.\n[00:40 - 00:47] Speaker A: Speaking of water, do you think it's safe to swim here regularly? I'm just curious about the water quality.\n[00:47 - 00:54] Speaker B: Oh, definitely. The water here is clean and refreshing. But I was going to say it makes all your troubles disappear."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--346041.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Sarah. How are you doing today?\n[00:03 - 00:07] Speaker B: Good, thanks. I'm just getting ready for my math test. I'm a little\n[00:06 - 00:28] Speaker A: Nervous? That's understandable. Math can be tough sometimes. But I know you're capable of doing great things. You've been working hard in class and I have full faith in you. Just take a deep breath and  remember to pace yourself carefully throughout the entire exam duration, making sure to allocate appropriate time for each section while leaving room for review at the end.\n[00:33 - 00:36] Speaker B: Actually, do you have any last-minute tips for staying calm during the test?\n[00:37 - 00:45] Speaker A: Sure, focus on the questions you know first, and then go back to the tougher ones. That way, you build confidence as you go. You'll do fine.\n[00:46 - 00:50] Speaker B: Thank you, Ms. Martinez. Just knowing that you believe in me makes me feel better already."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--289733.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hi, welcome! Come on in, make yourselves comfortable. Can I get you anything to drink?\n[00:06 - 00:08] Speaker B: Oh, thank you. Water would be great.\n[00:08 - 00:18] Speaker A: Of course. Let me just put these things down and I'll be right back with your water. Make yourselves at home, there's plenty of food if you're\n[00:17 - 00:21] Speaker B: Actually, I wanted to ask, did you make that dip we loved from last time?\n[00:25 - 00:36] Speaker A: Yes, I did! It's right over there on the table. I was just going to say, if you're hungry, help yourselves to some appetizers. I'll get your water in a moment.\n[00:36 - 00:40] Speaker A: Sorry for the wait, the food is ready now. I hope you're all hungry!\n[00:41 - 00:42] Speaker B: Everything smells fantastic!\n[00:43 - 00:47] Speaker A: I'm so glad you like it. Let's start serving before it gets cold.\n[00:48 - 00:53] Speaker B: Oh, before we start, could you remind me what spices you used? The aroma is just incredible!\n[00:54 - 01:01] Speaker A: Sure! I used a mix of rosemary, thyme, and a bit of paprika. Now, let's dig in and enjoy!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--352805.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, do you want to go for a walk with me? I need to get some\n[00:03 - 00:10] Speaker B: Sorry to cut in, but I was just thinking, do you have a specific route in mind? I was hoping we could go somewhere with a bit more greenery.\n[00:14 - 00:23] Speaker A: That sounds good. I was thinking of heading towards the park, actually. It's so nice out today. I wish we could go hiking or something.\n[00:24 - 00:30] Speaker B: Yeah, that would be great. I love hiking. It's such a great way to get some exercise and see nature at the same time.\n[00:30 - 00:37] Speaker A: Exactly! And it's so peaceful being out in nature, away from all the hustle and bustle of the city.\n[00:37 - 00:43] Speaker B: Yes, definitely. Sometimes I feel like I need to get away from everything and just breathe in some fresh air.\n[00:43 - 00:48] Speaker A: I know what you mean. Well, maybe we can go hiking next weekend if the weather is nice.\n[00:49 - 00:55] Speaker B: Oh, speaking of next weekend, do you think we should invite anyone else? It might be fun to go as a group.\n[00:56 - 01:07] Speaker A: That could be fun. I was just going to say we could bring our cameras and take some  pictures while we're out there to capture the beautiful scenery and maybe even spot some wildlife if we're lucky enough."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--667784.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I really enjoy staying up late at night. It's so peaceful and\n[00:03 - 00:08] Speaker B: I can understand that. Sometimes I feel the same way. But don't you find it a bit lonely?\n[00:13 - 00:18] Speaker A: No, not at all. I actually feel more relaxed and comfortable when it's dark outside.\n[00:19 - 00:28] Speaker B: That makes sense. I guess it's just different for everyone. Some people need the bustle of activity to feel relaxed, while others like the peace and quiet of the night hours.\n[00:28 - 00:49] Speaker A: Exactly. I find that the night time is when I can really think and reflect on my day. Plus, there are no distractions like there are during the  day when everyone is awake and there's so much going on, from constant phone notifications to colleagues stopping by my desk for impromptu conversations that break my concentration.\n[00:50 - 00:57] Speaker B: Speaking of distractions, do you ever feel like staying up late affects your productivity the next day? I sometimes struggle with that.\n[00:57 - 01:08] Speaker A: It can be tricky, but for me, the quiet at night outweighs the tiredness the next day. I was going to mention that during the day, there are just too many things pulling me in different directions."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--956648.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, Richard, tell me about your dream of becoming a knight.\n[00:03 - 00:14] Speaker B: Well, it all started when I was just a little boy. I would watch the knights riding by and I would imagine myself in their armor, fighting bravely for my lord. From then on, I just knew that's what I wanted to\n[00:13 - 00:20] Speaker A: Sorry to cut in, but I'm curious—did your family support your dream of becoming a knight from the start?\n[00:25 - 00:34] Speaker B: My family was hesitant at first, especially because it's a dangerous path, but they eventually came around when they saw how determined I was. And so, I became a squire.\n[00:34 - 00:42] Speaker A: Yes, Lord Robert took you under his wing and taught you everything he knows about being a knight. That must have been quite an experience.\n[00:43 - 00:47] Speaker B: It was hard work, but it was worth it. And now, I'm a knight myself.\n[00:47 - 00:49] Speaker A: That's amazing. Congratulations!\n[00:49 - 00:52] Speaker B: Thank you! It's been my dream come true.\n[00:52 - 00:57] Speaker A: What advice would you give to other young boys who have a dream like you did?\n[00:57 - 01:04] Speaker B: I would tell them to never give up on their dreams and to always strive to be their best selves, because that's what will truly set them apart.\n[01:04 - 01:09] Speaker A: Do you think it's more important to focus on physical training or mental preparation?\n[01:09 - 01:26] Speaker B: Both are crucial, but mental preparation is often overlooked. Staying strong in your convictions is key. As I was saying, if they work hard and maintain  unwavering dedication to their goals while upholding the virtues of courage, justice, and compassion, anything is truly possible for those who dare to dream."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--413649.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: Thank you for taking the time to meet with me today, it's great to have an opportunity to speak with you about the open position. Based on my research and understanding of the job requirements, I believe that I am a strong candidate for the\n[00:15 - 00:21] Speaker B: Sorry to jump in, but could you elaborate on how your experience specifically aligns with the key responsibilities of the role?\n[00:26 - 00:45] Speaker A: Of course! As we discussed, I have experience in customer service and sales, which I think would be beneficial in this role. Additionally, I have excellent communication skills and a strong work ethic. Based on what I know about the company and its values, I feel like my skills and experience would contribute well to its success.\n[00:45 - 00:55] Speaker B: That all sounds great! We're really looking for someone who is passionate about our mission and who will be dedicated to our customers' satisfaction. Do you think you have what it takes to excel in this role?\n[00:55 - 01:18] Speaker A: Absolutely! Like I said, customer satisfaction is very important to me and I'm always looking for ways to go above and beyond for both current and potential customers. In my previous roles, I've been recognized by my supervisors for going above and beyond expectations; I'm confident that I could bring that same level of dedication to this organization.\n[01:18 - 01:24] Speaker B: That's terrific! We'll definitely keep you in mind for the role. Thank you so much for taking the time to meet with us today.\n[01:24 - 01:27] Speaker A: Thank you, it was great to speak with you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--872171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Jaire. I noticed you've been having some trouble with your fungus lately.\n[00:04 - 00:12] Speaker B: Yeah, it's been awful. I can't get rid of it no matter what I try. I've used almost every product available, but nothing seems to work.\n[00:12 - 00:19] Speaker A: Oh, I might be able to help with that. I'm pretty strong, so I can spray your fungus with fungicide without any\n[00:19 - 00:22] Speaker B: Really? That would be amazing! Thank you so much, Levi.\n[00:27 - 00:32] Speaker A: No problem at all. Let me just get my stuff and we'll take care of it as soon as possible.\n[00:33 - 00:39] Speaker B: Wait, before you go, do you know if this fungicide is safe for pets? I have a cat that loves to roam around the garden.\n[00:40 - 00:46] Speaker A: Good point. I'll check the label to make sure it's pet-friendly. Once we confirm that, we'll get started.\n[00:47 - 00:51] Speaker B: Okay, great! Just point me in the right direction and I'll take care of the rest."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--465565.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm so glad I could brighten your day with some grapes, Esteban.\n[00:04 - 00:10] Speaker B: Thank you so much, Juanjose! It really means a lot to me. I've been having a tough week and this is just what I\n[00:09 - 00:13] Speaker A: Oh no, what happened? Did something specific trigger this tough week?\n[00:19 - 00:27] Speaker B: Well, my grandmother passed away last week and it's just been really hard for me. She was such an important part of my life and I miss her so much already.\n[00:27 - 00:40] Speaker A: I'm so sorry for your loss, Esteban. That must be really tough for you to deal with. If there's anything I can do to help, please don't hesitate to ask, even if it's just someone to listen.\n[00:40 - 00:44] Speaker B: Actually, just talking to you is helping more than you know. Thank you for being here."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--633173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I can't believe you would just give up on me like that!\n[00:03 - 00:07] Speaker B: I'm not giving up on you, I'm just trying to understand what you\n[00:06 - 00:11] Speaker A: You're not listening to me! I told you what I want, and you're just ignoring me!\n[00:16 - 00:22] Speaker B: An, please calm down. We can talk about this in a more constructive way, but I need you to help me understand where you're coming from.\n[00:23 - 00:27] Speaker A: No, I won't calm down! You're not listening to me and it's really frustrating!\n[00:28 - 00:33] Speaker B: Okay, okay. I'm sorry. Let's start again. What is it that you want?\n[00:33 - 00:36] Speaker A: I want you to listen to me and take me seriously!\n[00:37 - 00:40] Speaker B: Okay, I'm sorry. I'm listening. What do you want to tell me?\n[00:41 - 00:46] Speaker A: I don't know, it doesn't matter what I say, you're just going to ignore me anyway!\n[00:46 - 00:51] Speaker B: An, that's not fair. Tell me what's going on in your mind right now. I want to understand how you're feeling.\n[00:52 - 00:56] Speaker A: Fine! I'll just leave then, since you don't care about what I have to say!\n[00:57 - 01:00] Speaker B: An, wait! Let's not end this conversation like this."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--583204.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Dude, what the hell? Why did you throw away all my cigarettes?\n[00:04 - 00:08] Speaker B: Because I don't want you to smoke anymore. It's bad for your\n[00:07 - 00:14] Speaker A: I know it's bad, but it relaxes me, okay? It's one of the few things that helps me unwind after a long day.\n[00:19 - 00:32] Speaker B: Yehudis, come on. You know it's not good for you. Besides, don't you think your lungs would be a lot happier if you didn't  keep putting them through this every day? Imagine how much better you'll feel when you can breathe properly again and have more energy.\n[00:32 - 00:38] Speaker A: I guess you're right, but it's really hard to quit. I've tried before, and it feels impossible.\n[00:38 - 00:42] Speaker B: I know it is. But I'm here to help you. We can do this together."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--672051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I was just reading about the current situation in Syria. What do you think is going to happen\n[00:04 - 00:09] Speaker B: Sorry to jump in, but do you think the international community is doing enough to address the crisis?\n[00:14 - 00:30] Speaker A: I'm not sure. It's hard to say. I know that there are a lot of people who are suffering and I hope that something can be done to help them. But regarding the international community, I feel like we should be doing more. It's just so sad to see all the violence and destruction.\n[00:31 - 00:40] Speaker B: I know. Sometimes it feels like the world is falling apart. But we have to keep hope alive, right? Otherwise, what's the point of all our efforts if we lose hope?\n[00:41 - 00:48] Speaker A: Absolutely, but what I was going to say is, do you think putting more pressure on the Syrian government could actually make a difference?\n[00:49 - 00:57] Speaker B: I think it could, but only if it's coupled with significant aid to the people who are suffering. We can't just focus on the government; we have to help the civilians too.\n[00:57 - 01:01] Speaker A: I agree. I think those are both very important things.\n[01:01 - 01:09] Speaker B: Yeah. I just wish we could do more. It feels like we're just sitting around watching this tragedy unfold and not doing enough to help.\n[01:09 - 01:14] Speaker A: I know how you feel. But sometimes all we can do is hope and pray for the best."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--218634.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: It's great to finally meet you, Sarah. I've heard so much about you.\n[00:04 - 00:06] Speaker B: Likewise. It's nice to put a face to the name.\n[00:07 - 00:08] Speaker A: So, what do you do?\n[00:09 - 00:12] Speaker B: I'm a teacher. I teach English at a local high\n[00:11 - 00:17] Speaker A: Oh, English! That's fantastic. Do you get to incorporate a lot of creative writing into your lessons?\n[00:22 - 00:30] Speaker B: Yes, actually, I do. It's one of my favorite parts of the job. I love my job, even though it can be challenging at times. What about you? What do you do?\n[00:31 - 00:39] Speaker A: I'm an accountant. It's not as exciting as teaching, but it pays the bills, and I enjoy the problem-solving aspect of it.\n[00:39 - 00:44] Speaker B: But I imagine it must be really satisfying when everything balances out perfectly, right?\n[00:44 - 00:49] Speaker A: Absolutely, there's definitely a sense of accomplishment in that."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--992151.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Sarah! How are you?\n[00:01 - 00:05] Speaker B: I'm good, thanks. How are you? You look really nice today.\n[00:05 - 00:20] Speaker A: Thank you! I just got my hair done this morning and I'm wearing my new favorite dress. I love feeling fashionable and put-together. It's one of the reasons why I love going to the salon every week - to make sure that I always look\n[00:19 - 00:28] Speaker B: Sorry to jump in, but do you think going to the salon that often is really necessary? I mean, you always look great, even when you're not freshly styled.\n[00:33 - 00:44] Speaker A: Thanks, that's sweet of you to say! I guess it's more about how it makes me feel. You know, like they say, when you look good, you feel good. It's all connected.\n[00:44 - 00:47] Speaker B: That's true. So, what are your plans for the rest of the day?\n[00:47 - 00:56] Speaker A: Well, I was thinking of doing some shopping and then maybe getting my nails done. What about grabbing a coffee afterward? It could be a nice way to relax.\n[00:57 - 01:04] Speaker B: Shopping sounds great! I might join you for that, but I'll have to pass on the nails - I'm not really into that kind of thing.\n[01:04 - 01:07] Speaker A: That's okay! We can still have a great time together."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1076109.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Oh my goodness, this painting is absolutely stunning! The colors are so vibrant and the detail is incredible. It's like I can see everything happening in the scene.\n[00:10 - 00:11] Speaker B: Thank you, I'm glad you like it.\n[00:12 - 00:18] Speaker A: How did you come up with such a beautiful landscape? It must have taken so much time and effort to\n[00:17 - 00:24] Speaker B: Actually, it did take a lot of time, but I wanted to ask, do you have a favorite part of the painting? Something that stands out to you the most?\n[00:29 - 00:37] Speaker A: Oh, definitely the way the light hits the trees. It gives such a warm and inviting feeling. But you were saying about the effort it took?\n[00:37 - 00:45] Speaker B: Well, I wanted to capture the beauty of nature and the peace that comes with it. I wanted to create a place where people could escape from their busy lives and just relax for a while.\n[00:46 - 00:54] Speaker A: You definitely succeeded! This painting makes me feel happy and calm just looking at it. It's like a little piece of paradise.\n[00:54 - 00:57] Speaker B: That's exactly what I was going for, so I'm glad you appreciate it.\n[00:58 - 01:04] Speaker A: I can't believe how realistic it looks. It's like I could step right into the painting and explore everything.\n[01:04 - 01:06] Speaker B: That's a really great compliment. Thank you.\n[01:07 - 01:16] Speaker A: Do you sell your paintings? I would love to  have a piece like this in my home where I can admire it every day and share its beauty with friends and family who visit.\n[01:17 - 01:24] Speaker B: Absolutely, I do sell them. But before you decide, can I tell you more about the inspiration behind this particular piece?\n[01:24 - 01:28] Speaker A: Yes, please! I'd love to hear more about what inspired you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--419812.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, August. Thanks for talking with me. How are you doing?\n[00:04 - 00:06] Speaker B: I'm doing alright, Keylin. How are you?\n[00:07 - 00:12] Speaker A: I'm good. Hey, I wanted to talk to you about what happened the other day at the fire.\n[00:12 - 00:18] Speaker B: Yeah, that was pretty crazy. I can't believe you were able to get my family out of there in\n[00:17 - 00:25] Speaker A: Sorry, I just wanted to say, I really didn't do anything special. I just did what anyone else would have done in that situation.\n[00:30 - 00:38] Speaker B: Well, not everyone would have had the presence of mind to do what you did. You're a real hero, Keylin. My family and I owe you everything.\n[00:38 - 00:44] Speaker A: Don't worry about it, August. I'm just glad everyone is safe and sound now. That's all that matters to me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--734147.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Can I ask you something, teacher?\n[00:01 - 00:05] Speaker B: Of course, Theodore. What would you like to talk about or ask me?\n[00:05 - 00:11] Speaker A: Sorry to interrupt, but it's something that's been on my mind for a while. Do you think I'm a good student?\n[00:12 - 00:12] Speaker B: Why do you ask?\n[00:13 - 00:17] Speaker A: I don't know. I just want to know if I'm doing well in your eyes.\n[00:18 - 00:29] Speaker B: Theodore, you're an excellent student. You're always willing to learn and reflect on your own performance. This openness to learning means that you are constantly improving and growing as a person. I'm very\n[00:28 - 00:33] Speaker A: Actually, I was also wondering if there are specific areas where you think I could improve more?\n[00:38 - 00:46] Speaker B: I'm very proud of the progress you've made since we started working together. But if you're looking for areas to improve, perhaps we could focus more on your critical thinking skills."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--967919.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I feel so lost, Sarah. I don't know where to go or what to\n[00:03 - 00:08] Speaker B: What do you mean? Are you talking about your job, your relationships, or something else?\n[00:12 - 00:22] Speaker A: I just feel like I'm losing touch with everything that was once so familiar to me. My life is crumbling around me and I don't know how to pick up the pieces.\n[00:22 - 00:36] Speaker B: It sounds like you're feeling really overwhelmed right now. Maybe it would help if you took some time to figure out what's most important to you and what you  need to focus on first in order to create a solid foundation for moving forward with confidence and purpose.\n[00:36 - 00:43] Speaker A: You're right, I do need to figure that out. But what if I can't? What if I just can't find the answers?\n[00:44 - 00:54] Speaker B: It's okay to not have all the answers right away. Sometimes it takes time, and that's perfectly normal. Just remember that we're here for you and we love you no matter what decisions you make about your life."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--32633.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I miss you so much, Brihanna. I love you.\n[00:03 - 00:05] Speaker B: I love you too, Jordy. I miss you too.\n[00:05 - 00:09] Speaker A: It's just not the same without you. I don't know what to\n[00:07 - 00:12] Speaker B: Jordy, I know it's hard, but have you been able to talk to anyone about how you're feeling?\n[00:17 - 00:24] Speaker A: Not really, I just—it's like no one else understands. But I was going to say, I don't know what to do to feel better.\n[00:24 - 00:29] Speaker B: Maybe we can figure out some small steps together? You don't have to do this alone.\n[00:29 - 00:33] Speaker A: That would help, Brihanna. I just need to feel like you're still with me somehow.\n[00:34 - 00:38] Speaker B: I'm always with you, Jordy. Even when it's tough, remember that."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--634390.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, Mom. I'm so glad you're here.\n[00:03 - 00:06] Speaker B: Of course I am, darling. Where else would I be?\n[00:06 - 00:14] Speaker A: I don't know, I just feel relieved and happy to have you in my life. It feels like a weight has been lifted off my shoulders.\n[00:14 - 00:16] Speaker B: Well, that's because it has been\n[00:15 - 00:16] Speaker A: What do you mean?\n[00:21 - 00:28] Speaker B: You've been carrying around a lot of guilt and pain for not being able to save me from cancer, but it wasn't your fault. You were just a child.\n[00:29 - 00:31] Speaker A: I know that, but it doesn't make it any easier.\n[00:32 - 00:39] Speaker B: I know, sweetheart. But try to remember that I'm here now and I'm not going anywhere. I'll always be with you in spirit, even if you can't see me.\n[00:39 - 00:42] Speaker A: I just want to make sure I don't lose you again, Mom.\n[00:42 - 00:45] Speaker B: You won't, darling. I'm always with you, no matter what.\n[00:46 - 00:48] Speaker A: Ok, Mom. I'll try."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--986089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Sarah! What's up?\n[00:02 - 00:03] Speaker B: Not much, what's up with you?\n[00:04 - 00:10] Speaker A: I'm just getting ready to go on another adventure. I'm thinking about heading out west this\n[00:09 - 00:15] Speaker B: Oh, west? That sounds exciting! Are you planning to visit any specific places, like national parks or cities?\n[00:19 - 00:31] Speaker A: Yeah, I was actually thinking of exploring some national parks. I know it's not always easy for you to get away, but I really appreciate your understanding and encouragement even when you can't join me.\n[00:31 - 00:38] Speaker B: I wish I could join you, but I have to stay here and take care of my family. You're always so lucky to be able to travel wherever you want.\n[00:38 - 00:44] Speaker A: Thanks, Sarah. I know it's tough for you, but your support really means a lot to me.\n[00:44 - 00:49] Speaker B: Of course, Efren. You're my best friend. I just want you to be happy and safe on your trip.\n[00:50 - 00:51] Speaker A: I will, Sarah. I promise."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1185164.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I think we need to break up.\n[00:02 - 00:03] Speaker B: Why? What's\n[00:02 - 00:09] Speaker A: What's wrong? I just feel like our relationship isn't what it used to be. I think it's time we both moved on.\n[00:15 - 00:21] Speaker B: I don't want to break up. Can't we try to fix whatever is wrong between us? Maybe we just need to communicate better or spend more time together.\n[00:22 - 00:27] Speaker A: I don't think there's anything left to fix, Eleanora. This is for the best.\n[00:27 - 00:29] Speaker B: I don't know if I can do this, Kashawn.\n[00:30 - 00:36] Speaker A: You don't have to do anything you don't want to. But I really believe this is what's best for both of us.\n[00:36 - 00:37] Speaker B: I'm not sure...\n[00:38 - 00:41] Speaker A: It's okay, Eleanora. We can still be friends."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--375003.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, Brooke, what do you think of our new town so far?\n[00:03 - 00:10] Speaker B: I like it! It's really different from the last town we lived in. There are a lot more things to do here and the people seem really\n[00:09 - 00:15] Speaker A: Sorry to jump in, but speaking of people, have you had a chance to meet any of the neighbors yet?\n[00:20 - 00:30] Speaker B: Not yet, but they do seem friendly. I was going to say that. And about jobs, there are a few businesses in town that are always hiring, so I'm sure you'll be able to find something eventually.\n[00:31 - 00:35] Speaker A: That's good to know. Thanks, Brooke. I appreciate your help in getting settled here.\n[00:36 - 00:40] Speaker B: No problem! I'm just glad I could be of assistance during this transition period.\n[00:41 - 00:45] Speaker A: Oh, one more thing—do you think the local schools are good? Just wondering for the future.\n[00:46 - 00:58] Speaker B: And yes, I've heard the schools here are quite good, so that's another plus for the town! The teachers are highly qualified and the facilities are modern, which provides excellent opportunities for students to thrive academically and socially."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--921984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm sorry I'm late. I couldn't remember where you told me to meet you.\n[00:04 - 00:15] Speaker B: That's okay, I understand. It can be tough to find your way around here sometimes. But you made it eventually! So, how have you been finding the new job? I remember you mentioned starting it last time we spoke.\n[00:16 - 00:22] Speaker A: Actually, before I forget, where did you park your car? I had trouble finding a spot.\n[00:22 - 00:28] Speaker B: Oh, I parked in the garage around the corner. It's usually less crowded there. Anyway, I've been good. Just busy with work and stuff.\n[00:29 - 00:33] Speaker A: Yeah, I know how that is. So, what do you want to\n[00:33 - 00:38] Speaker B: Wait, before we decide, do you have any time constraints today? I need to be somewhere by 5 PM.\n[00:43 - 00:47] Speaker A: No, I'm free all day. What do you think we should do?\n[00:47 - 00:53] Speaker B: Well, there's a lot of things to do around here. We could go shopping, or see a movie, or go for a walk in the park...\n[00:54 - 00:57] Speaker A: A walk in the park sounds nice. Let's do that."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--56287.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: This is such bullshit. I can't believe I'm going to prison for five years.\n[00:04 - 00:12] Speaker B: Amaree, we did everything we could. The jury found you guilty and the judge handed down the sentence. There's nothing more we can\n[00:12 - 00:14] Speaker A: But five years! That's my life!\n[00:19 - 00:38] Speaker B: I know it's hard to accept, but you have to try to make the best of the situation. You'll be able to appeal the sentence, and if that doesn't work, maybe you can get parole after a few years. In the meantime, try to stay positive and focus on  how you can use this time to better yourself through education programs, vocational training, or even just maintaining your physical and mental health for when you're released.\n[00:39 - 00:42] Speaker A: It's just not fair. I didn't do anything wrong.\n[00:42 - 00:54] Speaker B: I know you feel that way, but the jury didn't see it that way. They found you guilty and now you have to pay the price. We can still look into other legal options while you're inside, but it's important to keep your head up.\n[00:54 - 00:56] Speaker A: This is such bullshit."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--69960.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, Evelyn, what's your story?\n[00:02 - 00:08] Speaker B: Well, I was named after my grandmother. She was a very strong woman, and I always admired\n[00:07 - 00:12] Speaker A: That's really cool. I was named after my mother. Do you have any kids?\n[00:17 - 00:21] Speaker B: No, I don't. I always wanted to, but it just never happened for me.\n[00:22 - 00:27] Speaker A: That's really sad. I'm sorry to hear that. I can imagine it must be difficult.\n[00:27 - 00:33] Speaker B: Oh, it's okay. Life just takes us in different directions sometimes. So, what about you? Do you have any kids?\n[00:34 - 00:39] Speaker A: No, I don't have any kids either. But I've always wanted them. Someday, hopefully...\n[00:39 - 00:43] Speaker B: Yeah, hopefully someday we'll both be able to experience the joys of motherhood!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--188315.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Pippa. How are you doing?\n[00:02 - 00:05] Speaker B: I'm doing alright. Just a little\n[00:04 - 00:09] Speaker A: Tired, huh? You want to lie down for a bit? I can keep an eye on you.\n[00:14 - 00:15] Speaker B: That would be great, thanks.\n[00:16 - 00:18] Speaker A: No problem, sis. Anything for you.\n[00:19 - 00:20] Speaker B: Hey, Milani?\n[00:21 - 00:21] Speaker A: Yeah?\n[00:22 - 00:26] Speaker B: Do you think our parents are ever going to work things out and find a way to be happy again?\n[00:26 - 00:33] Speaker A: Stop fighting? I don't know, Bren. I hope so. They love each other, they just have a lot of stress right now.\n[00:33 - 00:37] Speaker B: It's just really hard to see them like this all the time. They used to be so happy.\n[00:37 - 00:44] Speaker A: I know. But things will get better, I promise. Just try and focus on the good times for now, okay?\n[00:45 - 00:47] Speaker B: Yeah... okay. Thanks, Milani."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--179580.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I'm scared of growing old.\n[00:02 - 00:06] Speaker B: There's no need to be scared. Growing old is a natural process that happens to everyone.\n[00:07 - 00:12] Speaker A: But I feel like I've never really taken care of myself and now it's too\n[00:11 - 00:21] Speaker B: I understand that feeling, but before we go further, have you ever considered talking to a professional about these concerns? Sometimes, discussing these fears with a therapist can provide a lot of clarity.\n[00:27 - 00:32] Speaker A: That's a good point, but I was going to say that it's too late to start making changes.\n[00:32 - 00:41] Speaker B: It's never too late to start taking better care of yourself. Even if you're in your 60s or 70s, you can still make lifestyle changes that will improve your health.\n[00:41 - 00:42] Speaker A: What should I do?\n[00:42 - 01:00] Speaker B: First, you should focus on eating healthy foods and exercising regularly. These things will help reduce your risk of developing chronic diseases like heart disease, stroke, and diabetes. You should also make sure to get enough sleep and manage stress, as these factors are equally important in maintaining your overall well-being.\n[01:00 - 01:05] Speaker A: I'm worried I won't be able to keep up with all of that. What if I fail?\n[01:06 - 01:18] Speaker B: It's okay to be scared. Change can be difficult. But you don't have to do it all at once. Just take it one step at a time and you'll eventually get there. And remember, seeing your doctor regularly for checkups and screenings can also guide you along the way."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--265976.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey Joe, what's up?\n[00:01 - 00:03] Speaker B: Not much, just hanging out. What about you?\n[00:04 - 00:11] Speaker A: I was just doing some work when I suddenly got the feeling that someone was watching me. It's really\n[00:10 - 00:14] Speaker B: Sorry to interrupt, but do you think it could have been a neighbor or someone passing by your window?\n[00:19 - 00:37] Speaker A: No, I didn't see anyone. But I could definitely feel someone's presence. It was really creepy and made me wonder if I should check my security cameras  to see if there's anything unusual recorded from the past few days or maybe even install some motion-activated lights around the property.\n[00:38 - 00:42] Speaker B: Security cameras are a good idea. Do you have any installed already?\n[00:42 - 00:48] Speaker A: Not yet, but I'm considering it now. Well, it could have just been my imagination.\n[00:48 - 00:52] Speaker B: Yeah, maybe you're right. But it's better to be safe than sorry."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--596349.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Hey boss, just wanted to let you know that I delivered the last package of the day and made sure to get a signed confirmation from the recipient as per our standard procedure.\n[00:10 - 00:16] Speaker B: Jerome, thank you so much for your hard work today. You've really saved us with your attentiveness and great\n[00:15 - 00:21] Speaker A: Sorry to jump in, but I just remembered—did we get any feedback from the client about the earlier delivery?\n[00:26 - 00:35] Speaker B: Not yet, but I'll follow up on that. As I was saying, your great driving really made a difference today. We're really lucky to have you on our team. Keep up the good work!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--218746.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, thanks for coming out today. It really means a lot.\n[00:04 - 00:08] Speaker B: Of course! I believe in what you're doing, and I think it's so\n[00:07 - 00:15] Speaker A: Sorry to jump in, but I just wanted to say that your support really motivates me. It's that kind of belief that keeps us going.\n[00:19 - 00:26] Speaker B: Yeah, I feel confident that we're going to make a difference. Just by being here and carrying these signs, people are going to start paying attention.\n[00:27 - 00:34] Speaker A: Absolutely! And I know you're doing an amazing job leading this strike. You're so passionate and committed to making this change happen.\n[00:35 - 00:42] Speaker B: Strong, yes, but it's the collective strength that really matters. Every single person here adds to the impact we're making.\n[00:42 - 00:49] Speaker A: Thank you. It's not easy, but it's worth it. We have to stand up for what we believe in and fight for change.\n[00:49 - 00:53] Speaker B: Absolutely! So many people are behind you, and we're all rooting for you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--903126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: So, John, what kind of website are you looking for? Are you looking for something simple and clean, or something more\n[00:06 - 00:16] Speaker B: I'm not really sure. I just know that I need a website for my business, but I guess I should think about whether I want it to be more visually appealing or straightforward. What do you suggest?\n[00:21 - 00:40] Speaker A: Okay, well let's start with something simple then and we can always add more features later if you want. Do you have any ideas about what kind of content you would like on your  homepage, like maybe a mission statement or a brief introduction about your company's history, values, and unique selling points?\n[00:40 - 00:51] Speaker B: Actually, before we dive into the content, I was wondering—how much flexibility will I have to update the website on my own? I want to make sure I can easily add new information or photos as my business grows.\n[00:52 - 01:05] Speaker A: Absolutely, that's an important consideration. We can set it up so that you have full control over updates, and we'll make sure it's user-friendly. As for the content, you mentioned basic information and pictures, right?\n[01:05 - 01:09] Speaker B: Yes, just some basic information about my business and maybe some pictures.\n[01:09 - 01:18] Speaker A: That sounds like a good starting point. Why don't we go ahead and put together a basic layout with that information and we can add more details later on?\n[01:18 - 01:21] Speaker B: That sounds great. Thank you so much for your help, Ali!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--627283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I found this note in your desk. It says you're planning to leave the school. Is that true?\n[00:06 - 00:12] Speaker B: Yes, it is. I'm sorry I didn't tell you sooner, but I've been offered a position at another school and I'm going to\n[00:11 - 00:15] Speaker A: Wait, another school? Why are you leaving? Don't you like teaching here?\n[00:21 - 00:39] Speaker B: It's not that I don't like teaching here. It's just that this other opportunity is a better fit for me professionally. And personally, too - my partner is moving to the city where the other school is, so it makes sense for me to go there as  it will allow us to be together and build our lives in the same place while also giving me access to better resources for my research projects.\n[00:40 - 00:45] Speaker A: But what about us? I'm really going to miss you. You're my favorite teacher ever.\n[00:46 - 00:53] Speaker B: Thank you, Konstantinos. I'm going to miss you too. But I'm sure you'll do great without me. You're a very smart and capable young man.\n[00:53 - 00:57] Speaker A: I don't know. I'm not sure I can make it without you.\n[00:57 - 01:03] Speaker B: Of course you can. You'll be fine. And if you ever need any help, just remember that I'm only a phone call away."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--251891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Wow, Harmonee, this is beautiful!\n[00:02 - 00:06] Speaker B: I'm glad you like it. I saw it and thought of you\n[00:05 - 00:07] Speaker A: It's so pretty. I love the heart charm.\n[00:12 - 00:18] Speaker B: Yeah, I thought it was really cute. And it's nice that it's adjustable, so you can wear it at different lengths.\n[00:18 - 00:34] Speaker A: Yes, that's true. By the way, when you said you thought of me immediately, was there a specific reason?  Like, did it remind you of something we've done together or a place we've been, perhaps that weekend trip to the coast where we found those beautiful seashells?\n[00:34 - 00:41] Speaker B: I just felt that it matched your style perfectly. I'm definitely going to wear this a lot. Thank you so much for thinking of me!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1182226.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: I've been thinking about opening up a restaurant for a while now and I think I finally have a solid plan. I want it to be a sushi restaurant with a modern\n[00:09 - 00:16] Speaker B: That sounds like a really cool concept! But when you say \"modern,\" do you mean in terms of the menu, the decor, or both?\n[00:21 - 00:50] Speaker A: Both, actually. For the menu, I was thinking we could do something like serve the sushi on small plates or in bento boxes. And instead of traditional soy sauce, we could offer different dipping sauces with unique flavors. As far as decor goes, I was thinking maybe we could have an industrial chic vibe with exposed brick and hanging  lights that create a cozy yet trendy atmosphere, complemented by live-edge wooden tables and greenery to bring natural elements into the space.\n[00:50 - 01:00] Speaker B: Oh, I love the idea of exposed brick! It really adds character. But have you thought about how that might impact the ambiance—like, will it make the place feel too cold or uninviting?\n[01:00 - 01:08] Speaker A: That's a good point. I was planning to balance it out with warm lighting, maybe using hanging lanterns to soften the atmosphere."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--994009.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I can't believe you're in so much trouble! What are you going to do?\n[00:04 - 00:07] Speaker B: I don't know. I guess I'll have to find a way out of it.\n[00:07 - 00:09] Speaker A: But how? You're totally stuck!\n[00:10 - 00:15] Speaker B: Well, I could try reasoning with them. Or maybe there's some other way out that I haven't\n[00:15 - 00:21] Speaker A: Wait, reasoning with them? Do you really think they'll listen? They seem pretty set on their decision.\n[00:26 - 00:35] Speaker B: Honestly, I don't know. But what else can I do? It's not like I can just give up and let them walk all over me. I need to stand up for myself, even if it's difficult.\n[00:35 - 00:42] Speaker A: Right, but isn't there someone else you could talk to? Maybe someone who has more influence over them?\n[00:42 - 00:46] Speaker B: That's a good point. I hadn't thought about that. It might be worth a shot."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1013581.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi there, welcome to the party! I'm Nassir. It's great to\n[00:03 - 00:08] Speaker B: Sorry to jump in, I'm (name). I just wanted to say, it's really nice to meet you too.\n[00:12 - 00:16] Speaker A: Nice to meet you as well! So, what brings you to the party?\n[00:17 - 00:21] Speaker B: I was invited by a friend. I didn't really know anyone here, but it sounded like it would be fun.\n[00:22 - 00:29] Speaker A: Yeah, it's been a great party so far. Have you had a chance to meet many interesting people or catch up with anyone you know?\n[00:30 - 00:35] Speaker B: Actually, not too many yet. I just got here a little while ago. But I've enjoyed talking to the people I have met so far.\n[00:36 - 00:43] Speaker A: That's great. Well, if you need someone to talk to, feel free to come find me. I'm always happy to chat with new people."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--475793.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Jakhari, I need to tell you something. It's really important and I trust you not to share it with anyone else.\n[00:07 - 00:09] Speaker B: Of course, Lawson. What is it?\n[00:10 - 00:19] Speaker A: I'm worried about my mom. She's been really sick lately and the doctors don't know what's wrong with her. They've run a lot of tests but they can't find\n[00:18 - 00:25] Speaker B: Wait, Lawson, have they considered getting a second opinion from a specialist? Sometimes a fresh perspective can make a difference.\n[00:29 - 00:38] Speaker A: That's a good idea. I think my dad mentioned it, but we haven't decided yet. I'm just really scared that something might happen to her.\n[00:38 - 00:51] Speaker B: Oh, Lawson, I'm so sorry. That must be really tough for you. I can't even imagine how you must be feeling. But you know that your mom is a fighter and she's going to beat this whatever it is. And we're all here for you, no matter what happens. Okay?\n[00:51 - 00:54] Speaker A: Yeah. Thanks, Jakhari. I needed to hear that.\n[00:55 - 00:56] Speaker B: Of course, anytime."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--746047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Hey, man. I'm just here to be with my girl. I feel most comfortable around death because it's the only place where I can truly feel connected to her spirit and\n[00:10 - 00:16] Speaker B: I understand. It can be hard to let go of someone you love so deeply. It's like a part of you is missing.\n[00:21 - 00:27] Speaker A: Yeah. I just can't stand the thought of her being alone. Even in death, I want to be with her.\n[00:28 - 00:39] Speaker B: Sorry, I just wanted to ask—when you say you can't stand the thought of her being alone, do you mean you feel like you need to be physically near her grave, or is it more about keeping her memory alive in your mind?\n[00:39 - 00:52] Speaker A: It's more about being physically near her. It makes me feel closer to her. But I also think about her all the time, you know? I guess just knowing that she's at peace and that I'll see her again someday helps too.\n[00:52 - 01:03] Speaker B: That can be a comfort. Death is a natural process, but it's still hard to accept. Grief is a normal and necessary response to loss. Give yourself time to grieve in whatever way works best for you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--984679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Look, I know that I messed up. I was caught with heroin and I'm facing some serious charges. But, I really need your\n[00:06 - 00:15] Speaker B: Aadya, we've been over this already. The evidence against you is pretty damning. Plus, you have a history of drug use. I don't think there's much that can be done to help you at this point.\n[00:20 - 00:23] Speaker A: But you're my lawyer! You're supposed to help me!\n[00:23 - 00:34] Speaker B: Aadya, I'm doing everything that I can. But, realistically, the chances of you getting out of this are pretty slim. You need to prepare yourself for the possibility of a conviction and think about how you'll handle it.\n[00:35 - 00:39] Speaker A: But I can't go to prison! I'll lose my job, my apartment, everything!\n[00:39 - 00:44] Speaker B: Aadya, you need to calm down. Getting upset isn't going to help anything.\n[00:44 - 00:49] Speaker A: Fine. But, you have to promise me that you'll do everything you can to help me.\n[00:49 - 00:50] Speaker B: I promise."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--715956.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, what do you think? Are we making a difference?\n[00:03 - 00:07] Speaker B: Absolutely! I can't believe how much better the neighborhood looks already.\n[00:08 - 00:16] Speaker A: Yeah, it's amazing what a little hard work can do. But we can't rest on our laurels – there's still a lot of work to\n[00:16 - 00:22] Speaker B: Speaking of work, do we have a plan for the next phase? I feel like we need to prioritize what needs to be tackled next.\n[00:27 - 00:38] Speaker A: Good point. We still need to focus on cleaning up the park and organizing the community garden. But it's worth it, if it means that we can make our neighborhood a better place to live.\n[00:39 - 00:43] Speaker B: Absolutely. I'm just glad that we're all working together to make this happen.\n[00:43 - 00:50] Speaker A: Me too. It's been a really great experience, getting to know my neighbors and working together towards a common goal.\n[00:51 - 00:55] Speaker B: Yeah, it definitely has. I think we're really making a difference here."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--784738.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I can't believe they're making us follow all of these rules.\n[00:03 - 00:05] Speaker B: I know, there are so many of them.\n[00:05 - 00:09] Speaker A: And they're so specific too. It's like they don't trust us to\n[00:08 - 00:13] Speaker B: Do you think it's because someone messed up before? Maybe that's why they're being so strict now.\n[00:17 - 00:22] Speaker A: That could be it. But, we have to follow the rules or we'll get in trouble.\n[00:22 - 00:25] Speaker B: I don't see why we can't just use our common sense.\n[00:25 - 00:37] Speaker A: Well, I guess the rules are there for a reason. Maybe they've had some problems in the past with people not following the rules and causing serious issues or even safety concerns.\n[00:37 - 00:44] Speaker B: Problems are one thing, but it feels like we're being micromanaged. How are we supposed to work effectively under these conditions?\n[00:44 - 00:49] Speaker A: I get that. But, it still doesn't make me happy about having to follow all of these rules."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--637306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how are you doing?\n[00:02 - 00:03] Speaker B: Hey. I'm okay, I guess.\n[00:04 - 00:06] Speaker A: Just okay? What's going on?\n[00:07 - 00:13] Speaker B: It's just been a tough few weeks. My mom died and then my boyfriend broke up with me. I feel like I'm\n[00:12 - 00:19] Speaker A: Oh my God, I'm so sorry. That's a lot to handle all at once. Have you been able to talk to anyone about how you're feeling?\n[00:25 - 00:29] Speaker B: Thanks. It's just been really hard to deal with everything. I don't know how to make myself feel better.\n[00:30 - 00:55] Speaker A: Well, first of all, it's okay to feel sad and upset. You don't have to pretend like everything is fine when it's not. Just give yourself some time to grieve and heal. Secondly, try to focus on the positive things in your life right now. Think about the people who care about you and who are  always there to support you, even when it feels like everything is falling apart, because those connections can be your anchor during these stormy times.\n[00:55 - 01:00] Speaker B: Speaking of people who care, I really appreciate you being here for me. It means a lot.\n[01:01 - 01:09] Speaker A: Absolutely. It's important to remember that you're not alone in this and that there are people who care about you and want to help you through this tough time."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1007617.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I can't believe I have to cancel my tickets to the concert. I was really looking forward to seeing my favorite band.\n[00:07 - 00:09] Speaker B: I'm sorry to hear that, Avery. What happened?\n[00:09 - 00:19] Speaker A: Well, my boss called me into his office this morning and told me that I needed to cancel my plans for the weekend and work instead. I was so upset that I almost\n[00:18 - 00:22] Speaker B: Wait, did you actually consider quitting? That sounds serious.\n[00:27 - 00:39] Speaker A: I did consider it for a moment, but I didn't go through with it. I just felt so frustrated. He said that someone else called in sick and they needed me to cover their shift. It's just not fair!\n[00:39 - 00:44] Speaker B: That sounds really tough. It's too bad you couldn't get a different shift at work or take the day off.\n[00:45 - 00:54] Speaker A: Yeah, I tried everything, but he said no. I guess I'll just have to miss the concert. Maybe I can go another time or just listen to their music online.\n[00:55 - 00:59] Speaker B: Yeah, maybe you're right. Thanks for trying to make me feel better, friend."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--698246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Eason, I'm going to leave you if you don't do what I want.\n[00:04 - 00:08] Speaker B: What? No, please don't leave me! I'll do anything you want, just please don't\n[00:07 - 00:14] Speaker A: Wait, before you say anything else, are you sure you're willing to do anything? This isn't just about lunch money.\n[00:19 - 00:22] Speaker B: Yes, Danica. Anything you want. Just please don't leave me.\n[00:22 - 00:26] Speaker A: Good, then you will give me your lunch money every day and do my homework for me.\n[00:27 - 00:30] Speaker B: Yes, Danica. Anything you want. Just please don't leave me.\n[00:30 - 00:32] Speaker A: And you will also give me your allowance.\n[00:33 - 00:38] Speaker B: Yes, Danica. But what about the other thing you mentioned earlier? What else do you want me to do?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--828152.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, can I get a medium latte with two pumps of vanilla and one pump of caramel?\n[00:05 - 00:07] Speaker B: Sure thing! That'll be $4.50.\n[00:08 - 00:09] Speaker A: Here you go.\n[00:09 - 00:11] Speaker B: Thanks! So, how's your day going?\n[00:11 - 00:17] Speaker A: It's going good. I just got out of my last class and I'm getting coffee before I head to\n[00:16 - 00:21] Speaker B: Oh, what class did you just finish? Was it something related to your internship at the law firm?\n[00:25 - 00:39] Speaker A: Actually, it was. It was a class on contract law, which ties in nicely with my work. I'm an intern at a law firm, and it's really cool, but it's a lot of work. But I'm learning a lot and it's a great experience.\n[00:40 - 00:44] Speaker B: Wow, that sounds like an amazing opportunity! How long have you been interning there for?\n[00:45 - 00:47] Speaker A: I've been interning there for about two months now.\n[00:48 - 00:51] Speaker B: That's great! I'm sure you're learning a lot.\n[00:51 - 00:55] Speaker A: Yeah, I am. It's a lot of work, but it's worth it.\n[00:55 - 00:59] Speaker B: Well, I hope you have a great day! Thanks for coming in!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--211161.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: I went to the store and bought a case of 24 bottled waters, some non-perishable food items like granola bars and peanut butter, and a first aid kit with bandages, antibiotic ointment, and\n[00:13 - 00:16] Speaker B: Wow, you really thought ahead! Why do you have all of this?\n[00:21 - 00:38] Speaker A: I was watching the news earlier and saw that there is a hurricane coming our way. I want to be prepared in case we lose power or  need to stay indoors for a few days without access to stores or emergency services, which often happens during severe weather events like this.\n[00:39 - 00:44] Speaker B: Oh, I didn't realize it was that serious. Do you think we need to do anything else to prepare?\n[00:44 - 00:54] Speaker A: Well, I've been through a hurricane before so I know how important it is to be prepared. Plus, I have a generator, so we should be all set if the power goes out."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1131334.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Sarah, things are going really well for me right now. I have a great job, a nice place to live, and a bright future ahead of me. I'm so grateful for everything that's\n[00:10 - 00:16] Speaker B: That's amazing to hear, Sierrah! But I have to ask, how are you managing to balance everything? I know how demanding your job can be.\n[00:22 - 00:41] Speaker A: It's definitely a challenge, but I've been focusing on time management and setting clear priorities. I was about to say I'm also really thankful for the support from friends like you  because without your encouragement and the occasional pep talks when I'm feeling overwhelmed, it would be much harder to stay motivated and focused on my goals.\n[00:42 - 00:49] Speaker B: And you know I'll always be here to support you! But do you think you'll have time to catch up this weekend? It sounds like you could use a break."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--977434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey dad, I was thinking it might be fun to build a birdhouse.\n[00:04 - 00:10] Speaker B: That sounds like a great idea! What made you want to start this project? Have you seen any interesting birds\n[00:09 - 00:22] Speaker A: Sorry to interrupt, but I was just really excited to share that I love spending time outdoors and watching birds. I think it would be a really fun project to work on, and I'm excited to see the finished product.\n[00:27 - 00:31] Speaker B: Well, let's get started then! Do you have any idea what kind of birdhouse you want to build?\n[00:32 - 00:39] Speaker A: Not really. I was thinking maybe we could look up some designs online and figure it out based on the materials we have at home.\n[00:39 - 00:47] Speaker B: Actually, before we dive into the designs, do you know what kind of birds are common around here? It might help us choose the right type of birdhouse.\n[00:47 - 00:56] Speaker A: That's a good point. I hadn't thought about that, but you're right. We should definitely consider what birds are around before picking a design."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--542071.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Makennah. I was wondering what your feelings are.\n[00:04 - 00:08] Speaker B: I'm not really sure. I guess I just feel kind of lost\n[00:07 - 00:13] Speaker A: Lost? Do you mean like you're unsure about your career, or is it more about your personal life?\n[00:18 - 00:28] Speaker B: Exactly. That's how I feel. Like there's no clear path for me and I have no idea which way to  turn to find some direction or purpose that truly resonates with my values and aspirations for the future.\n[00:28 - 00:36] Speaker A: I get it. It can be overwhelming when everything feels uncertain. Maybe we can help each other out then. What do you think?\n[00:37 - 00:38] Speaker B: Sure, that sounds good to me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--748043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So you're just going to ignore me now?\n[00:02 - 00:04] Speaker B: What do you want me to say, Jackson?\n[00:04 - 00:07] Speaker A: I don't know, an apology would be nice.\n[00:07 - 00:08] Speaker B: For what?\n[00:08 - 00:16] Speaker A: You know what. This whole thing with Lucas. You've been flirting with him nonstop and it's really getting on my\n[00:15 - 00:20] Speaker B: Sorry to interrupt, but are you sure you're not overreacting a bit? I mean, it's just harmless flirting.\n[00:25 - 00:31] Speaker A: So what if I am flirting with him? He's a free agent, and I can talk to whoever I want.\n[00:31 - 00:42] Speaker B: It's not just that. You've been hanging out with him a lot too, and I feel like you're trying to steal my  chance to get closer to him by constantly inserting yourself into every conversation and planning activities that exclude me.\n[00:43 - 00:49] Speaker A: Wait, let me clarify something. Are you actually dating Lucas, or is this just about your feelings for him?\n[00:50 - 00:54] Speaker B: Boyfriend? Please. He's not your boyfriend. You guys haven't even gone on a date yet.\n[00:55 - 01:01] Speaker A: That doesn't matter. I like him and I don't appreciate you swooping in and trying to take him away from me.\n[01:02 - 01:11] Speaker B: Oh, so now he's yours? Just because you like him? Sorry, but that doesn't work that way. People are free to date whomever they want, and there's nothing you can do about it.\n[01:11 - 01:15] Speaker A: Well maybe I'll just have to make sure he knows how I feel about him then.\n[01:16 - 01:22] Speaker B: And maybe I'll just keep doing what I'm doing and see where things go with Lucas. There's no harm in that, is there?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--310941.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how's it going?\n[00:02 - 00:05] Speaker B: Not too bad. Just trying to stay busy these days.\n[00:05 - 00:09] Speaker A: Yeah, I know what you mean. It's tough just sitting around\n[00:08 - 00:15] Speaker B: Sorry to jump in, but have you found anything specific to keep yourself busy with? I'm always looking for new ideas.\n[00:20 - 00:27] Speaker A: Mostly work and a bit of reading, but nothing too exciting. I feel like I'm going stir crazy lately.\n[00:27 - 00:30] Speaker B: Yeah, I can imagine. Do you ever get out and do anything fun?\n[00:31 - 00:36] Speaker A: Occasionally, but not as much as I used to. I've been thinking about taking up a new hobby though.\n[00:37 - 00:40] Speaker B: That sounds like a good idea. What are you thinking about?\n[00:40 - 00:48] Speaker A: I'm not really sure. I've been considering a few different things, but I can't seem to decide on anything that really excites me.\n[00:48 - 00:53] Speaker B: Maybe you could try something creative, like painting or writing? Sometimes it helps to explore different outlets.\n[00:54 - 01:00] Speaker A: That's a good suggestion. I hadn't thought about that. I'll have to keep that in mind. Thanks for the advice."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--463700.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, thanks for coming over. I really appreciate it.\n[00:04 - 00:08] Speaker B: No problem, I was happy to help out. Your place is really clean and well-kept.\n[00:09 - 00:15] Speaker A: Yeah, I like to keep things tidy. It just makes life easier when everything has its\n[00:14 - 00:19] Speaker B: Speaking of which, do you have any tips for keeping things organized? I always struggle with that.\n[00:24 - 00:38] Speaker A: Sure, I can share a few tricks. But back to what I was saying, having a clean space at the end of the day is really important to me. Plus, it's nice knowing that everything is in its proper place and there's no mess to deal with.\n[00:39 - 00:42] Speaker B: Well, whatever your reasons are, your place looks great!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--226853.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:04] Speaker B: Not much. Just getting ready for the day. What about you?\n[00:04 - 00:08] Speaker A: I'm just hanging out, trying to stay\n[00:07 - 00:10] Speaker B: Oh, by the way, did you ever figure out what you want to do after graduation?\n[00:15 - 00:20] Speaker A: I've been thinking about it a lot. I'm not really sure yet.\n[00:20 - 00:25] Speaker B: That's understandable. There are a lot of options out there. What are some of the things you're considering?\n[00:26 - 00:36] Speaker A: I've been looking at some colleges, but I'm not sure if I want to go that route. I've also been thinking about joining the military or maybe getting a job in law enforcement.\n[00:36 - 00:40] Speaker B: Those are all great options. Have you talked to anyone about what you're thinking?\n[00:41 - 00:50] Speaker A: Yeah, I've talked to my parents and my friends a lot about it. They're all supportive of whatever I decide to pursue, even if it's something unconventional.\n[00:50 - 00:55] Speaker B: Sorry to interrupt, but did your parents have any strong opinions on the military option?\n[00:55 - 01:06] Speaker A: They were a bit concerned at first, but they said they would support me no matter what. I was going to mention that my friends were more focused on the college route, but I guess that's not as important right now.\n[01:07 - 01:14] Speaker B: It's good that your parents are supportive. And yeah, friends can sometimes have different perspectives. Just take your time and don't rush into anything.\n[01:15 - 01:19] Speaker A: Yeah, that's what I'm planning on doing. Thanks for the advice."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1087723.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, can I talk to you for a sec?\n[00:03 - 00:03] Speaker B: Yeah, what's up?\n[00:04 - 00:14] Speaker A: I was hoping we could talk about my salary. I know I've been with the company for a while now and I feel like I'm worth more than what I'm currently being\n[00:13 - 00:22] Speaker B: Sorry to jump in, but before we dive into that, have you had a chance to review the recent performance evaluations? I think they might give us a clearer picture of where you stand.\n[00:27 - 00:45] Speaker A: I have looked at them, and honestly, they only reinforce my belief that I deserve a raise. I work hard and I'm one of the most valuable employees here. Surely there's some room for negotiation, especially since my performance has consistently exceeded expectations.\n[00:45 - 00:55] Speaker B: I hear you, and I appreciate your dedication. But before we talk numbers, can we discuss how we can align your contributions with the company's goals to justify a potential raise?\n[00:55 - 01:00] Speaker A: That makes sense. Let's figure out how we can make that happen."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--677647.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey dad.\n[00:01 - 00:02] Speaker B: Hey buddy, what's up?\n[00:02 - 00:04] Speaker A: I got some bad news today.\n[00:04 - 00:05] Speaker B: What happened?\n[00:06 - 00:08] Speaker A: I was dropped from the school's list.\n[00:08 - 00:11] Speaker B: Oh, I'm sorry to hear that. What does that\n[00:10 - 00:15] Speaker A: It means I'm not good enough and I'll never be able to attend the school.\n[00:20 - 00:29] Speaker B: That's not true. Just because you were dropped from the list doesn't mean you're not good enough. It could just mean that they had too many people apply and they had to make some cuts.\n[00:29 - 00:33] Speaker A: But I was so close. I was number seven on the list.\n[00:33 - 00:41] Speaker B: Ivonne, there are a lot of talented people in the world and sometimes it's just a matter of being in the right place at the right time. You still have so much potential.\n[00:42 - 00:43] Speaker A: But I really wanted this one.\n[00:44 - 00:51] Speaker B: I know you did, buddy. And I'm sorry that it didn't work out but like I said, there will be other chances for you to pursue your dreams."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--876642.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, Sarah. I just finished checking something off my to-do list and I feel so much better now.\n[00:06 - 00:09] Speaker B: That's great! What was it that you were able to cross\n[00:08 - 00:15] Speaker A: Sorry to interrupt, but I just remembered I need to ask you something important about the budget report. Is it due tomorrow?\n[00:21 - 00:26] Speaker B: Oh, yes, it is due tomorrow. But back to your to-do list, what was it that you were able to cross off?\n[00:27 - 00:34] Speaker A: I was finally able to complete a project that I've been procrastinating on for weeks. It feels good to have it done and out of the way.\n[00:35 - 00:47] Speaker B: I know how you feel. There's nothing like the sense of relief that comes with completing a task that you've been  avoiding for a long time, especially when it's something that's been weighing on your mind and affecting your productivity in other areas of work.\n[00:47 - 00:54] Speaker A: Actually, speaking of relief, I wanted to ask if you have any tips for managing stress when deadlines are looming?\n[00:54 - 00:59] Speaker B: Yeah, I'm just glad that it's over and I can move on to the next thing on my list.\n[00:59 - 01:04] Speaker A: Well, congratulations! You should be proud of yourself for finally getting it done."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--617839.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Mom. Thanks for coming to my graduation ceremony.\n[00:04 - 00:08] Speaker B: Of course, Aranza! I wouldn't miss it for the world. You've worked so hard to get\n[00:07 - 00:15] Speaker A: Speaking of hard work, I was thinking about how much effort it took to get through those final exams. I couldn't have done it without your support.\n[00:20 - 00:26] Speaker B: That's sweet of you to say. Time really does fly. Pretty soon you'll be off to college and then out in the real world on your own.\n[00:27 - 00:34] Speaker A: That's true. But I'm not sure I'm ready for that big step just yet. There's so much to figure out.\n[00:34 - 00:42] Speaker B: Oh, honey, I get it. The transition can be overwhelming, but remember, you're not alone in this. You have your family and friends to lean on.\n[00:42 - 00:48] Speaker A: You're right, Mom. It's just a lot to take in. But hearing you say that makes me feel better.\n[00:48 - 00:55] Speaker B: Don't worry, you'll be fine. You're a smart and talented young man with a bright future ahead of you. I'm very proud of you, Aranza.\n[00:56 - 00:58] Speaker A: Thanks, Mom. That means a lot to me.\n[00:58 - 00:59] Speaker B: I love you, son."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--241883.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I don't want to talk about it, Joey.\n[00:02 - 00:04] Speaker B: What? What is there to not want to\n[00:03 - 00:05] Speaker A: Just drop it, okay?\n[00:10 - 00:21] Speaker B: No, I won't drop it. I want to know what's going on with you. You've been acting weird lately and I want to know  if there's something I can do to help you through whatever you're dealing with because that's what friends are for.\n[00:21 - 00:23] Speaker A: I told you, I don't want to talk about it.\n[00:24 - 00:29] Speaker B: Well, I do. And if you don't tell me what's going on, I'm going to keep asking until you do.\n[00:29 - 00:35] Speaker A: Fine. But this is the last time we're ever going to speak of this, okay? Promise me that.\n[00:36 - 00:38] Speaker B: I promise. Now tell me what's going on."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--925277.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I've decided to start writing a novel.\n[00:02 - 00:04] Speaker B: What made you come to that decision?\n[00:04 - 00:14] Speaker A: I was reading a book by Charles Dickens and I suddenly felt inspired. He's such a great writer and I thought to myself, \"I can do this\n[00:13 - 00:19] Speaker B: Oh, Dickens! His work is so intricate. Are you planning to emulate his style, or will you be adding your own twist to it?\n[00:24 - 00:46] Speaker A: I'll definitely add my own twist to it. My novel is set in the Victorian era and it follows the story of two young lovers who are forced to part ways. But they never forget each other and eventually find their way  through all the challenges life throws at them, discovering new strengths within themselves and ultimately proving that true love can withstand even the harshest of circumstances.\n[00:47 - 00:55] Speaker B: Victorian era, you say? That era has such a rich atmosphere. How are you planning to research the historical details to make sure everything feels authentic?\n[00:55 - 01:08] Speaker A: I'm planning to dive into some historical texts and maybe even visit a few museums. I was going to mention that they eventually find their way back to each other, but the research is definitely a big part of the process."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--514225.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Axton, I'm so sorry. I never meant for any of this to\n[00:03 - 00:09] Speaker B: It's not your fault, Kenia. I was the one who made the deal with the demon. I was the one who was foolish enough to think I could outsmart him.\n[00:14 - 00:27] Speaker A: But I should have been able to stop you. I should have been able to talk you  out of it before things got so bad, maybe by reminding you of all the good memories we shared and the people who still cared about you despite everything.\n[00:28 - 00:38] Speaker B: Kenia, you couldn't have known what I was going to do. And even if you had, there's no way you could have stopped me. I was determined to get my revenge, no matter the cost.\n[00:38 - 00:41] Speaker A: I should have tried harder. I should have done something.\n[00:42 - 00:49] Speaker B: Kenia, you did everything you could. You saved my soul from eternal damnation. I will never be able to repay you for that.\n[00:49 - 00:54] Speaker A: There's nothing to repay, Axton. I did what any friend would do.\n[00:55 - 00:59] Speaker B: Not many people would have been able to do what you did, Kenia. You're a hero."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--714054.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Sarah. How are you doing today?\n[00:03 - 00:05] Speaker B: I'm doing well, thanks. How about you?\n[00:05 - 00:09] Speaker A: I'm good. Just enjoying my day off from work.\n[00:09 - 00:10] Speaker B: What did you do with your day?\n[00:11 - 00:18] Speaker A: I went shopping and then got lunch at a really nice restaurant. It was so delicious! Now I'm just\n[00:17 - 00:21] Speaker B: Oh, where did you go for lunch? I'm always looking for new places to try.\n[00:27 - 00:33] Speaker A: I went to that new Italian place downtown. The pasta was amazing! Now I'm just relaxing at home.\n[00:34 - 00:38] Speaker B: That sounds like a great day! I wish I could have done something like that today.\n[00:38 - 00:52] Speaker A: Well, maybe we can go shopping together sometime soon! I'd love to treat you to lunch at a nice  little café I discovered recently that has the most amazing homemade desserts and a cozy atmosphere perfect for catching up.\n[00:53 - 00:58] Speaker B: That would be awesome! But wait, do you think we should make a reservation in advance? Some places get really busy.\n[00:59 - 01:06] Speaker A: Good point! We should definitely make a reservation. I was going to say a nice restaurant, but we can plan the details later."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--153526.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Joe. How are things going?\n[00:02 - 00:04] Speaker B: Things are going well, Bennett. How are you?\n[00:05 - 00:08] Speaker A: I'm doing well, thanks. So, what's new?\n[00:09 - 00:16] Speaker B: Well, we've been getting a lot of good feedback on your recent performances. Your fans seem to really enjoy your\n[00:14 - 00:21] Speaker A: Speaking of fans, I was wondering if we should organize a meet-and-greet event soon. What do you think?\n[00:26 - 00:35] Speaker B: That's a great idea! But I was about to mention that your style of playing is what's really resonating with them. We've also been getting a lot of interest from record labels who want to sign you.\n[00:35 - 00:46] Speaker A: Really? That's great news! I'm definitely interested in signing with a label so that I can reach even more people with my music. Thanks for letting me know, Joe."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--932676.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Oh my god, I can't believe I just did that.\n[00:03 - 00:05] Speaker B: It's not a big deal, don't worry about it.\n[00:06 - 00:13] Speaker A: I'm sorry, it's just that I'm really nervous. This is my first time doing something like this and I don't want to\n[00:12 - 00:18] Speaker B: Mess it up? I totally get it. But remember, everyone has to start somewhere. What's the main thing you're worried about right now?\n[00:23 - 00:36] Speaker A: Relax, you're going to do fine. Just take a deep breath and focus on what you're doing. You'll be  more confident once you get into the flow of things and realize that you actually know more than you think about this whole process.\n[00:37 - 00:44] Speaker B: Wait, before you continue, can you clarify what exactly you need to focus on? Maybe I can give you some specific advice.\n[00:44 - 00:46] Speaker A: Thanks. I appreciate your help.\n[00:46 - 00:50] Speaker B: No problem, that's what I'm here for. Let me know if you need anything else."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--185307.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I can't believe it. I was walking home from school and I saw my mom kissing another man.\n[00:06 - 00:09] Speaker B: Whoa, that's crazy. Are you sure it was your mom?\n[00:09 - 00:12] Speaker A: Yeah, I'm positive. I don't know what to\n[00:11 - 00:15] Speaker B: Wait, where exactly did you see this? Was it somewhere public or near your house?\n[00:21 - 00:25] Speaker A: It was near our house, just a few blocks away. I don't know what to do.\n[00:25 - 00:31] Speaker B: Well, first of all, you need to take a breath and calm down. It's going to be okay. Do you want to talk about what you saw?\n[00:32 - 00:45] Speaker A: I don't know. It just came out of nowhere and it was so unexpected. I feel like I'm in shock right  now and I can't make sense of anything because my mind keeps replaying the scene over and over again in vivid detail.\n[00:46 - 00:50] Speaker B: I get that. But maybe it would help if you just let it out. What exactly did you see?\n[00:51 - 00:58] Speaker A: I saw them standing really close, talking, and then they kissed. I just froze. I feel like this is a nightmare.\n[00:58 - 01:04] Speaker B: That makes sense. It sounds like this is a really big deal for you. Have you talked to your mom about it yet?\n[01:04 - 01:09] Speaker A: No, I ran away and came here. I don't know if I can face her.\n[01:09 - 01:17] Speaker B: That's understandable. This is a lot to process. Do you want to stay here for a while? We can watch TV or play some video games to take your mind off of it.\n[01:18 - 01:21] Speaker A: Yeah, that sounds good. Thanks for being here for me.\n[01:22 - 01:23] Speaker B: Of course, that's what friends are for."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--150383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Mom. I was wondering if you could give me a ride to the library later.\n[00:04 - 00:06] Speaker B: Why do you need to go to the library?\n[00:06 - 00:10] Speaker A: I need to return some books and pick up a few new\n[00:09 - 00:13] Speaker B: Wait, do you have any overdue books? I remember getting a notice last week.\n[00:19 - 00:40] Speaker A: Oh, no, I returned those already. I'm just picking up some new ones today. But actually, I was hoping to stop by the grocery store on the way home and pick up a few things  like fresh vegetables, chicken, and some pantry staples for dinner tonight since I promised to cook. I noticed we're completely out of olive oil and eggs too.\n[00:40 - 00:49] Speaker B: Grocery store? Sure, that sounds fine. Since it's close to the library, it would be more efficient to just go there afterwards. Let me know when you're ready and we'll leave in a little bit."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--489519.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Thank you so much for helping me find the perfect dress! I feel like a million bucks in it.\n[00:05 - 00:10] Speaker B: You're welcome, Waleed! I'm glad we were able to find something that made you feel confident and\n[00:10 - 00:18] Speaker A: Oh, speaking of confidence, I have a big event coming up next week. Do you think this dress is appropriate for a formal dinner?\n[00:23 - 00:29] Speaker B: Absolutely, this dress is versatile enough for a formal dinner. It's always our goal to help our customers feel their best.\n[00:30 - 00:36] Speaker A: Well, you definitely succeeded with me. I'll definitely be back the next time I need something special.\n[00:37 - 00:39] Speaker B: We look forward to seeing you again soon!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--258235.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey Blakely, I heard you said some pretty messed up things about me behind my back.\n[00:05 - 00:10] Speaker B: Yeah, what of it? I was just telling the truth. You're a mess and everyone\n[00:09 - 00:14] Speaker A: I don't care what you think. But I'm going to have to teach you a lesson for running your mouth.\n[00:19 - 00:20] Speaker B: Oh yeah? What are you gonna do?\n[00:21 - 00:33] Speaker A: I'm going to beat the crap out of you until you learn some  manners and basic human decency, because clearly no one ever taught you how to treat people with respect or how to keep your toxic opinions to yourself.\n[00:34 - 00:38] Speaker B: Respect? You think beating me up is going to earn you respect? You're delusional!\n[00:39 - 00:43] Speaker A: Stay down! That's what you get for talking smack about me behind my back!\n[00:44 - 00:46] Speaker B: Screw you, man! I'll never respect you!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1166623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm so sorry to hear about your daughter. I can't imagine how you're feeling.\n[00:05 - 00:11] Speaker B: Thank you. I'm just struggling to figure out how I'm going to pay for her hospital bill. It's so expensive and I don't have\n[00:11 - 00:19] Speaker A: Insurance? I understand, that must be incredibly stressful. Listen, let me help you out with that. I'll pay for your daughter's hospital bill.\n[00:25 - 00:28] Speaker B: Oh, no, I couldn't possibly accept that kind of help from a stranger.\n[00:29 - 00:38] Speaker A: It's no problem at all. Really, it's the least I can do. Let me take care of this for you. You shouldn't be worrying about finances at a time like this.\n[00:38 - 00:43] Speaker B: But are you sure? I mean, that's such a huge amount, and I don't want to put you in a difficult position.\n[00:44 - 00:47] Speaker A: I'm sure. It's the right thing to do. Let me help you out here.\n[00:48 - 00:50] Speaker B: Thank you so much, Joshua. You're a lifesaver!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--104984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Father, I'm not afraid of you anymore. I've grown up and I can see things more clearly now. I know that you're not perfect, but that doesn't mean I have to\n[00:08 - 00:11] Speaker B: What has changed, Corie? Why are you no longer afraid of me?\n[00:16 - 00:29] Speaker A: I guess I just realized that I don't have to be scared of you. You're not perfect, but that's okay. You're still my father and I want to have a relationship with you that isn't based on fear, but on understanding and mutual respect.\n[00:30 - 00:38] Speaker B: Wait, Corie, before you finish, I just want to say how proud I am of you for coming to this realization. It takes a lot of strength to confront those feelings.\n[00:38 - 00:40] Speaker A: Thank you, Dad. I love you too."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--389182.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey Cora, what's up?\n[00:01 - 00:04] Speaker B: Not much, just hanging out. What about you?\n[00:04 - 00:08] Speaker A: I'm good, just hanging out with some friends. You should\n[00:08 - 00:12] Speaker B: Wait, where are you guys hanging out? I might be more tempted if it's somewhere close.\n[00:17 - 00:20] Speaker A: We're at the new café downtown. You should come join us!\n[00:20 - 00:23] Speaker B: Nah, I don't really feel like it.\n[00:23 - 00:31] Speaker A: Come on, it'll be fun! I'll buy you a  coffee or maybe something sweet to go with it like their famous chocolate croissants that just came out of the oven.\n[00:32 - 00:35] Speaker B: Are there a lot of people there? I kinda want to avoid a crowd.\n[00:36 - 00:40] Speaker A: It's pretty chill right now, not too crowded. So, how about that drink?\n[00:41 - 00:43] Speaker B: Alright, fine. I'll come for one drink."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--730163.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, Mom.\n[00:01 - 00:03] Speaker B: Hey, sweetie. How are you feeling?\n[00:03 - 00:08] Speaker A: I'm feeling a lot better, thanks. My fever's gone and I'm starting to feel\n[00:08 - 00:13] Speaker B: Oh, that's such a relief! Are you thinking about going back to school tomorrow, or do you want to wait another day?\n[00:18 - 00:22] Speaker A: I think I might be ready to go back tomorrow, but I'll see how I feel in the morning.\n[00:23 - 00:27] Speaker B: That sounds like a good plan. Just make sure you're really up for it before you head out.\n[00:27 - 00:29] Speaker A: I will, Mom. Thanks for checking on me.\n[00:30 - 00:33] Speaker B: Of course, baby. Get some rest now, okay?\n[00:33 - 00:35] Speaker A: Okay. Goodnight, Mom.\n[00:35 - 00:36] Speaker B: Goodnight."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--115322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Thank goodness I was there to help! Are you okay?\n[00:03 - 00:05] Speaker B: Yes, thank you. I'm fine now.\n[00:05 - 00:09] Speaker A: That was a close call! What were you doing on the bridge?\n[00:09 - 00:14] Speaker B: I was just out for a walk when I slipped and fell. If you hadn't been there to catch me, I would have\n[00:14 - 00:19] Speaker A: Sorry, just to be sure, are you feeling dizzy or anything? Maybe we should get you checked out.\n[00:24 - 00:31] Speaker B: No, no, I'm really okay, just a bit shaken. I was saying I would have drowned for sure. Thank you so much for saving my life.\n[00:31 - 00:36] Speaker A: It was no problem. I'm just glad I could help. Do you want me to walk you home?\n[00:37 - 00:41] Speaker B: No, thank you. I think I'll be okay now. Thanks again for everything."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--43736.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey boss, can I talk to you for a second?\n[00:03 - 00:05] Speaker B: Sure thing, Stanley. What's up?\n[00:05 - 00:11] Speaker A: I was hoping you could give me a raise. I've been working here for a while and I think I deserve\n[00:10 - 00:21] Speaker B: Stanley, you're a great employee and I appreciate all your hard work. However, we're currently experiencing financial difficulties and cannot afford to give raises at this time. I'm sorry.\n[00:25 - 00:45] Speaker A: Boss, with all due respect, I think that's BS and I deserve more  than just a pat on the back. I've been putting in extra hours and taking on tasks that aren't even part of my job description, consistently going above and beyond what's expected of me while maintaining excellent performance metrics.\n[00:45 - 00:55] Speaker B: Stanley, watch your tone with me. I understand that you're upset but speaking to me like that is not going to get you what you want. Now if you'll excuse me, I have other matters to attend to.\n[00:56 - 00:59] Speaker A: That's it? You're just going to dismiss me like that?\n[01:00 - 01:04] Speaker B: Stanley, I'm sorry. There's nothing more I can do.\n[01:04 - 01:05] Speaker A: Fine."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--679971.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Hey, Jonnathan. I noticed that you didn't participate much in class today and you seem really down. Is everything okay?\n[00:08 - 00:12] Speaker B: Yeah, I'm fine. I just don't feel like doing anything lately.\n[00:13 - 00:21] Speaker A: Well, I think you should try new things to get out of your funk. Maybe there's something you've been wanting to do but were too scared to\n[00:20 - 00:26] Speaker B: Actually, I have been thinking about learning to play the guitar, but I'm not sure if I have the time or the talent for it.\n[00:31 - 00:49] Speaker A: That's a great idea! Learning an instrument can be really fulfilling. And about the time, you can always start small. Just a few minutes a day can make a difference. But I was going to say, if you don't like it, you can always stop. But at least you would have tried something new and expanded your horizons a little bit.\n[00:49 - 00:52] Speaker B: Alright, I'll try it. Thanks, Cesar."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--28408.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, what do you think?\n[00:01 - 00:08] Speaker B: Well, it's certainly an interesting idea. I'm not sure if it would work in practice, but it's worth\n[00:06 - 00:14] Speaker A: Sorry to jump in, but when you say you're not sure if it would work in practice, do you have specific concerns in mind?\n[00:18 - 00:23] Speaker B: Yeah, I've been thinking about it for a while. I'm just not sure how to make it happen.\n[00:23 - 00:31] Speaker A: Well, it would take a lot of planning and coordination, but I think it could be managed if we break it down into smaller, more manageable steps.\n[00:32 - 00:38] Speaker B: Right, but before we dive into planning, do we have any initial resources or contacts that could help us get started?\n[00:38 - 00:47] Speaker A: We would need to find a way to get the word out to people who might be interested. And then we would need to set up some kind of system to collect the food donations.\n[00:47 - 00:52] Speaker B: Yeah, that's a lot of work. But I think it's worth it if we can help people in need.\n[00:52 - 00:59] Speaker A: Absolutely. I'm sure there are many people who would be willing to help with this project. Let's see if we can make it happen!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1085362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hey, Cherish. I'm starting to work on a new project and I could really use some help. Would you be interested in lending a hand?\n[00:08 - 00:10] Speaker B: Sure, Seneca. What's the project?\n[00:11 - 00:22] Speaker A: It's a bit complicated, but essentially I'm trying to create a detailed map of the world. Every country, every city, every landmark...I want to include it\n[00:21 - 00:26] Speaker B: Sorry to jump in, but how are you planning to gather all that information? It sounds like a massive undertaking.\n[00:31 - 00:54] Speaker A: You're right, it is. I was thinking of using a combination of online resources and some specialized databases. But I haven't mentioned the tools I need yet. It's going to be a lot of work, but I think it will be really cool once it's finished. We might need to use some advanced GIS software and perhaps even some AI tools to process the data efficiently.\n[00:54 - 01:02] Speaker B: That does sound like a lot of work. But if you're up for it, I'm happy to help out however I can. What kind of tools are you thinking of using exactly?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--527126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I can't stand it when people are always late. It drives me\n[00:03 - 00:10] Speaker B: Sorry to interrupt, but have you considered that some people might have legitimate reasons, like unexpected emergencies or traffic?\n[00:15 - 00:20] Speaker A: Yeah, I get that emergencies happen, but it still makes me so mad when people do that!\n[00:21 - 00:35] Speaker B: Well, maybe you should try to be more understanding. Everyone has different circumstances that can make them late  and sometimes it's really out of their control, especially in big cities where public transportation delays or sudden family obligations can completely derail someone's schedule.\n[00:36 - 00:43] Speaker A: I get that, but it's still really frustrating when people are always late! Have you ever experienced waiting for someone for over an hour?\n[00:44 - 00:50] Speaker B: I understand how you feel, but you shouldn't let it bother you so much. Maybe setting clear expectations with them could help."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--258280.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey girl, how are you doing today?\n[00:02 - 00:06] Speaker B: I'm good, Patryk. I'm just excited to play fetch with you like\n[00:06 - 00:14] Speaker A: Oh, speaking of fetch, do you think we should try that new park down the street? I heard it's got a lot of open space.\n[00:19 - 00:26] Speaker B: That sounds fun! I was going to say, I'm always excited to play fetch with you because you're so enthusiastic and make the game so fun.\n[00:27 - 00:41] Speaker A: Well, I love playing with you too because you're such a good listener and you always seem to know exactly what I'm thinking. Sometimes it feels like we can communicate without even needing to say a word, just through our actions and gestures.\n[00:42 - 00:47] Speaker B: Without even speaking, right? It's like we have our own little language that only we understand.\n[00:47 - 00:52] Speaker A: Exactly! I think that's what makes our friendship so special. We just get each other, you know?\n[00:53 - 01:00] Speaker B: Yeah, I know. And I'm always so happy to see you. You always make me feel loved and appreciated, and I cherish that about our friendship.\n[01:01 - 01:07] Speaker A: Aw, thanks girl. I feel the same way about you. I'm really lucky to have you in my life."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1050427.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey Markel, can I talk to you for a second?\n[00:03 - 00:04] Speaker B: Yeah, what's up?\n[00:05 - 00:06] Speaker A: It's about last weekend...\n[00:07 - 00:09] Speaker B: Oh, the party? Yeah, what about it?\n[00:09 - 00:11] Speaker A: I don't know if I should say anything...\n[00:12 - 00:13] Speaker B: You can tell me, I won't judge.\n[00:14 - 00:19] Speaker A: Okay. Well, I was really drunk and I did something that I'm not sure was\n[00:18 - 00:22] Speaker B: Wait, are you saying you were too intoxicated to consent?\n[00:27 - 00:37] Speaker A: Yeah... We were making out and then he started to touch me down there and I wasn't sure if I wanted to but then he kept going and I just froze up and didn't stop him.\n[00:37 - 00:41] Speaker B: So you didn't want to have sex with him but you didn't say no either?\n[00:41 - 01:01] Speaker A: Right. And now I'm worried that it was rape because I wasn't able to give consent. But at the same time, part of me feels like it was my fault because I didn't  say anything or push him away even though I was uncomfortable, which makes me question whether I somehow gave mixed signals in that moment. I just felt paralyzed in the moment.\n[01:02 - 01:08] Speaker B: No, it's not your fault. Freezing up is a common response in situations like that. Have you talked to anyone else about it?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--590679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, I'm back from my trip to Europe! How was everything while I was gone?\n[00:05 - 00:09] Speaker B: Wow, it sounds like you had an amazing time! What was your favorite\n[00:08 - 00:28] Speaker A: Oh, it's hard to pick just one! There were so many highlights, but if I had to narrow it down, I would say visiting the Eiffel Tower in Paris and then taking a gondola ride in Venice. Both were just so surreal and beautiful. I'm still trying to wrap my head around how much history and culture I was able to soak in during such a short period.\n[00:34 - 00:40] Speaker B: Sorry to interrupt, but did you get a chance to try any local foods while you were there? I've heard the cuisine is amazing!\n[00:40 - 00:57] Speaker A: Absolutely! The food was incredible. I had croissants every morning in Paris, and in Venice, I tried some of the best pasta I've ever had. But I was also going to mention how the museums were just as breathtaking as the food. The Louvre, for instance, was really cool.\n[00:57 - 01:01] Speaker B: That sounds like an amazing trip! I'm so happy you got to experience all of that."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--468879.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Geneva. I'm glad you could come over today.\n[00:04 - 00:06] Speaker B: Yeah, me too. It's been a while since we hung out.\n[00:07 - 00:11] Speaker A: I know. I've been really busy lately. But I missed you and wanted to\n[00:11 - 00:15] Speaker B: Oh, I've missed you too! But wait, busy with what? Work or something else?\n[00:20 - 00:31] Speaker A: Well, let's see...I started a new job, which has been keeping me busy. And I've been hanging out with my friends a lot too. But like I said, I really missed you and wanted to catch up.\n[00:31 - 00:37] Speaker B: Yeah, no worries. I'm always here for you if you need to talk or just want to hang out. So tell me about your new job!\n[00:38 - 00:52] Speaker A: It's great! I'm really enjoying it. It's a lot of work, but it's also really  rewarding and fulfilling because I get to work on projects that align with my passions and values while collaborating with an amazing team of professionals.\n[00:53 - 00:57] Speaker B: Is it something in your field? You always wanted a job that challenges you.\n[00:57 - 01:04] Speaker A: Yes, it is! It's in my field, and it's definitely challenging, but in a good way. I feel like I'm growing a lot.\n[01:05 - 01:08] Speaker B: That sounds great. I'm happy to hear you're doing well.\n[01:08 - 01:13] Speaker A: Thanks, Geneva. I appreciate your support. So what about you? What's new with you?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--471264.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I've been applying to a lot of jobs, but I'm not getting hired. I'm told my experience isn't good\n[00:06 - 00:10] Speaker B: It sounds like you're considering going back to school to get a degree. Is that right?\n[00:15 - 00:25] Speaker A: Yes, I was thinking about it. But I'm not sure if it's worth it. I don't want to spend a lot of money on tuition and then still not be able to get a job afterward.\n[00:25 - 00:41] Speaker B: Getting a degree can definitely help improve your chances of getting hired, especially if you're aiming for jobs that require one. But it's important to consider the cost-benefit analysis before making any decisions. How much would tuition be? And how long would it take you to complete the degree?\n[00:41 - 00:51] Speaker A: Tuition would be about $30,000 per year. And it would take me four years to finish the program, which means I'd be investing a lot of time and money.\n[00:52 - 00:59] Speaker B: Wow, that's a significant investment. But have you looked into any scholarships or financial aid options that might help reduce the cost?\n[00:59 - 01:15] Speaker A: Not yet, but that's a good point. I should definitely explore those options  before making any decisions, including researching grants, work-study programs, and employer-sponsored education benefits that could potentially offset some of the financial burden."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1052554.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey! I haven't seen you in forever. How was your summer?\n[00:04 - 00:08] Speaker B: It was good! I went to Europe with my family and then we traveled\n[00:07 - 00:12] Speaker A: Wow, Europe! That sounds amazing. Which countries did you visit?\n[00:17 - 00:23] Speaker B: We went to France, Italy, and Spain. It was incredible. But I was asking about your summer—what did you do?\n[00:24 - 00:34] Speaker A: I stayed home and worked, but it was still fun. I hung out with my friends and we went to the beach a lot. So, what classes are you taking this semester?\n[00:34 - 00:38] Speaker B: I'm taking English, Math, History, and Science. You?\n[00:38 - 00:58] Speaker A: Same here. Did you hear that there's a new professor teaching English this semester? Apparently he's really tough but he's supposed to  be very knowledgeable and passionate about the subject, with years of experience teaching at prestigious universities and publishing groundbreaking research in literary studies.\n[00:59 - 01:03] Speaker B: Oh, I heard about that! Do you think he'll give us a lot of assignments right off the bat?\n[01:03 - 01:08] Speaker A: Probably, but I'm more concerned about his grading style. I heard he's really strict.\n[01:09 - 01:13] Speaker B: Yeah, that makes me nervous too. But even if he is tough, we'll get through it together, right?\n[01:14 - 01:14] Speaker A: Right!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--468603.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Mom. I got an 'A' on my project.\n[00:03 - 00:05] Speaker B: That's great, Jaivon! I'm so proud of you.\n[00:06 - 00:09] Speaker A: Thanks, Mom. It felt good to get that\n[00:09 - 00:13] Speaker B: Sorry to interrupt, but I have to ask, did you get any feedback from your teacher on what you did well?\n[00:18 - 00:28] Speaker A: Yeah, she said my research was thorough and my presentation was clear. I was worried I wasn't going to make it at first, but I'm glad I did.\n[00:28 - 00:34] Speaker B: I'm glad you pushed through. You worked so hard on it. I knew you could achieve something like this if you stayed focused.\n[00:34 - 00:39] Speaker A: Do you think I should keep this project for my portfolio? It might help me in the future.\n[00:39 - 00:47] Speaker B: Absolutely, it's a great example of your hard work. You're a smart kid, Jaivon. I'm sure you'll do great in whatever you set your mind to."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--605295.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm so glad you could come! I know how busy you are.\n[00:03 - 00:09] Speaker B: Yeah, I was just about to cancel, but I'm glad I didn't. This looks like it'll be really\n[00:08 - 00:15] Speaker A: Sorry to jump in, but I just remembered—did you have any trouble finding parking? I know it can be tricky around here.\n[00:20 - 00:24] Speaker B: Oh, no, I found a spot pretty easily. But what were you saying about the play?\n[00:25 - 00:29] Speaker A: Right! You're going to love the play. It's one of my favorites.\n[00:29 - 00:30] Speaker B: What's it about?\n[00:30 - 00:39] Speaker A: Two friends who have a falling out and then ultimately make up again. It's really beautifully written, and the character development is so well done.\n[00:40 - 00:45] Speaker B: Oh, that sounds like such a relatable story! I love plays that explore friendships.\n[00:45 - 00:49] Speaker A: It really is. It's heartwarming, and I think you'll enjoy it.\n[00:50 - 00:51] Speaker B: I can't wait to see it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--957212.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Mom. I have some good news.\n[00:02 - 00:03] Speaker B: What is it, Ziya?\n[00:04 - 00:06] Speaker A: I passed my entrance exam!\n[00:06 - 00:09] Speaker B: Oh, that's fantastic news! I'm so proud\n[00:08 - 00:13] Speaker A: Sorry to cut in, Mom, but I wanted to ask—have you told Dad yet?\n[00:18 - 00:22] Speaker B: No, I haven't told him yet. But I was just about to say how proud I am of you!\n[00:22 - 00:27] Speaker A: Thanks, Mom. I'm pretty happy about it too. It was a lot of work, but it paid off.\n[00:28 - 00:32] Speaker B: You've always been a hard worker, Ziya. I knew you would succeed if you kept at it.\n[00:32 - 00:37] Speaker A: I appreciate that, but I was wondering if we could celebrate this weekend?\n[00:37 - 00:39] Speaker B: Of course, we should definitely celebrate!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--41123.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, grandma. Do you need help with your groceries?\n[00:03 - 00:07] Speaker B: Oh, thank you, Ceanna. That would be wonderful. Let me just get my purse and we can\n[00:06 - 00:14] Speaker A: Actually, grandma, I was thinking, maybe I could help you make a grocery list before we go? That way, we won't forget anything.\n[00:19 - 00:22] Speaker B: That's a good idea, Ceanna. So, what do you need today?\n[00:22 - 00:27] Speaker A: Well, let's see. I need some apples, bananas, and maybe some grapes if they're available.\n[00:27 - 00:31] Speaker B: Do you think we should get some oranges too? They are in season right now.\n[00:31 - 00:39] Speaker A: Oranges sound great! And I think that's it for now. Thank you so much for helping me out, Ceanna. You're such a sweet boy.\n[00:39 - 00:43] Speaker B: It's no problem at all, grandma. I'm happy to help out however I can."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--65367.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Cecelia. I need you to shut up for a minute, okay?\n[00:04 - 00:07] Speaker B: What? Why do you need me to\n[00:06 - 00:11] Speaker A: Because I'm trying to concentrate and your chatter is making it hard for me to focus.\n[00:16 - 00:21] Speaker B: Oh, sorry. I didn't realize I was being so distracting. I'll be more mindful of that.\n[00:22 - 00:27] Speaker A: It's not just that you're being loud, it's also that you're saying really irrelevant things.\n[00:28 - 00:30] Speaker B: Irrelevant? Like what?\n[00:30 - 00:39] Speaker A: Like how hot it is today or how much traffic there is on the street. Just pointless stuff that doesn't help anyone. So can you please be quiet for a while?\n[00:40 - 00:42] Speaker B: Yeah, sure. No problem."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--104948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey Kaitlyn, what are you up to?\n[00:02 - 00:04] Speaker B: Not much, just hanging out at\n[00:03 - 00:08] Speaker A: Oh, I was thinking we could maybe go out somewhere instead of staying in. What do you think?\n[00:13 - 00:16] Speaker B: Actually, that sounds like a great idea! But where do you want to go?\n[00:17 - 00:22] Speaker A: I'm so bored, there's nothing to do around here that feels exciting anymore.\n[00:22 - 00:27] Speaker B: How about we go to that new café downtown? I heard they have amazing desserts.\n[00:28 - 00:32] Speaker A: Yeah, I know how you feel. And that café sounds perfect. Let's go!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--76089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hi there!\n[00:00 - 00:02] Speaker B: Hey! How are you doing?\n[00:03 - 00:06] Speaker A: I'm doing well, thanks for asking. Just enjoying the\n[00:06 - 00:11] Speaker B: Sorry to cut in, but I just remembered—did you get a chance to check out that new hiking trail that opened up recently?\n[00:16 - 00:30] Speaker A: Oh, I haven't yet, but I've been meaning to! I like to hike, meditate, and just spend time with loved ones. I find that happiness comes from within and that material possessions are not necessary for a fulfilling life.\n[00:30 - 00:38] Speaker B: That sounds really great! I wish more people thought that way. It's so easy to get caught up in the rat race and forget what's truly important in life.\n[00:38 - 00:50] Speaker A: Absolutely! I think we could all benefit from slowing down and taking a step back every once in awhile to appreciate the simple things in life, like nature and meaningful connections.\n[00:50 - 00:55] Speaker B: Speaking of slowing down, do you have any tips for someone who's just starting to get into meditation?\n[00:55 - 01:09] Speaker A: Definitely! Start small, just a few minutes a day, and focus on your breathing. It's all about consistency, not perfection. Well, it was nice meeting you, Alizay. I hope we can chat again sometime.\n[01:09 - 01:11] Speaker B: Definitely! Have a great day!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--186110.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I'm really happy with how this new air conditioning unit turned out. It's a big improvement from the old one.\n[00:07 - 00:13] Speaker B: That's great to hear! How did the installation go? Any issues with the wiring or ductwork during the process?\n[00:13 - 00:21] Speaker A: Sorry to jump in, but I just remembered—did you have to make any modifications to the existing setup to get the new unit installed?\n[00:21 - 00:30] Speaker B: No, it went pretty smoothly. I was able to get the new unit in place and connected without any problems. I've already tested it out and it seems to\n[00:28 - 00:37] Speaker A: That's good to know. And how's the energy efficiency compared to the old unit? I'm curious if it will help lower our utility bills.\n[00:42 - 00:50] Speaker B: It should be more efficient, yes. I was going to mention that it's also quieter, which is a nice bonus. Thanks for taking care of this project, Novalee."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--508884.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: You're always so helpful, Eamon. You always put a smile on somebody's face. I bet you could be a saint if you wanted to.\n[00:07 - 00:10] Speaker B: What do you mean? I don't think I'm that special.\n[00:10 - 00:18] Speaker A: I mean you're always helping others and making them happy. You never hesitate to put a smile on somebody's\n[00:17 - 00:21] Speaker B: Sorry to interrupt, but do you really think just helping others could qualify someone as a saint?\n[00:26 - 00:44] Speaker A: Well, it's not just about helping others, it's also about the intention behind it. But I don't think I could be a saint  because I sometimes struggle with my own issues and I'm not always as selfless as I'd like to be, though I do try my best to maintain a positive attitude and help whenever possible.\n[00:44 - 00:50] Speaker B: Why not? I mean, you already do so much to help others! And you make people happy, which is a good thing.\n[00:50 - 00:54] Speaker A: I guess you're right. Maybe I could be a saint then..."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--810624.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Mom. I need to talk to you about something.\n[00:03 - 00:05] Speaker B: What is it, Anniston? You seem upset.\n[00:06 - 00:11] Speaker A: I am. I got caught in a lie and I feel really embarrassed and\n[00:11 - 00:13] Speaker B: Oh no, what happened? What did you lie about?\n[00:17 - 00:32] Speaker A: Well, my friends were asking me about my weekend and I lied and said that I went shopping with Grandma when really I just stayed home by myself because I didn't want to go out with them. But then they found out and now everyone knows and I don't know how to face them again.\n[00:33 - 00:50] Speaker B: That must be really tough for you, Anniston. Lying is never a good solution, but sometimes we all do it out of fear or insecurity. The important thing is that you learn from this experience and try not to do it again in the  future. It might also help to be honest with your friends about why you lied in the first place and explain how you're feeling vulnerable right now.\n[00:50 - 00:57] Speaker A: I know, Mom, but it's just so hard right now because I feel like everyone is looking at me differently and judging me.\n[00:58 - 01:18] Speaker B: People make mistakes, Anniston. They're not perfect like you are (joking). Everyone makes them — even your friends and family members have probably lied before too (noticing her daughter's doubtful expression). The difference is that they're probably better at hiding it than you are (chuckling). Just try to remember that everyone messes up sometimes — even grownups — and that it doesn't define who you are as a person."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--90720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: I absolutely love my car. It's just so luxurious and comfortable to drive. I mean, every time I get in it I just feel like a million bucks.\n[00:09 - 00:14] Speaker B: Wow, it sounds like you really love your car! How much did you say it cost you again?\n[00:14 - 00:23] Speaker A: Nearly $300,000. But honestly, it was worth every penny. Plus, I got a great deal on it since I bought it\n[00:22 - 00:27] Speaker B: Sorry to interrupt, but did you consider any other models before deciding on this one?\n[00:32 - 00:51] Speaker A: I did look at a few other options, but none of them had the same appeal. However, I haven't mentioned why I chose to buy it used  because I felt it was a smart financial decision given the depreciation on new cars and the fact that luxury vehicles often lose significant value in just the first year of ownership.\n[00:51 - 00:58] Speaker B: Oh, buying it used makes sense. But I still can't imagine spending that much on a car, even if it is a Rolls Royce Ghost Series II!\n[00:59 - 01:09] Speaker A: Yeah, it was definitely a big purchase. But like I said, it was worth it to me. I just enjoy driving it so much and it makes me feel good when I'm in it.\n[01:10 - 01:15] Speaker B: Well, I'm glad you're happy with your purchase. It sounds like you made a great choice with the Rolls Royce Ghost Series II!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--511668.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hey Ceanna, I saw that you were doing the reports for the group project. Do you want me to help you with\n[00:06 - 00:11] Speaker B: Actually, I could use some help with the data analysis part. It's a bit overwhelming.\n[00:16 - 00:20] Speaker A: Sure, I can take care of that. So what do you think of the project so far?\n[00:21 - 00:31] Speaker B: It's interesting. I'm learning a lot about different cultures and  how they influence people's daily lives, from their eating habits to their social interactions and even their work-life balance perspectives.\n[00:32 - 00:40] Speaker A: Speaking of cultures, did you notice how the traditions vary even within the same country? It's amazing how diverse it can be.\n[00:40 - 00:43] Speaker B: Yeah, definitely. It's fascinating."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--836018.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, can I help you?\n[00:02 - 00:07] Speaker B: Yeah, I'm looking for my friend. Have you seen her? She's about this tall, blonde\n[00:06 - 00:10] Speaker A: Blonde hair? No, I haven't seen her. Sorry.\n[00:14 - 00:16] Speaker B: That's okay, thank you anyway.\n[00:16 - 00:26] Speaker A: No problem. Be careful though, this place isn't always the safest, especially at night when there are fewer people around and the lighting isn't very good in some areas.\n[00:27 - 00:30] Speaker B: Isn't safe? I'll definitely keep that in mind. Thanks again."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--400143.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I can't believe you would say something like that about my new boyfriend!\n[00:04 - 00:08] Speaker B: Well, I don't see what's so great about him. He's kind of a dud, if you ask\n[00:07 - 00:12] Speaker A: How can you say that when you haven't even spent time with him? You don't even know him!\n[00:17 - 00:23] Speaker B: I know enough. And from what I can tell, he's not good enough for you, but I could be wrong. Maybe I should give him a chance.\n[00:24 - 00:30] Speaker A: You know what? It doesn't matter what you think. My boyfriend is a great guy and I'm happy with him."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--771202.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I don't understand, Aubre. You told me you loved me.\n[00:04 - 00:07] Speaker B: I do love you, Maniyah. But I can't be with you anymore.\n[00:07 - 00:09] Speaker A: Why? What\n[00:07 - 00:10] Speaker B: I just can't. It's not you, it's me.\n[00:15 - 00:21] Speaker A: That's such a cop-out answer! You're obviously hiding something from me. Just tell me the truth!\n[00:21 - 00:30] Speaker B: I am telling you the truth! I just don't think we should be together anymore, that's  the best decision for both of us in the long run because we want different things from life and our relationship.\n[00:31 - 00:35] Speaker A: But why, Aubre? What changed? You owe me at least that much!\n[00:36 - 00:37] Speaker B: It's not like that at all!\n[00:38 - 00:43] Speaker A: Then explain it to me! Because from where I'm standing, it looks an awful lot like that!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674832.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Dad, I just got a call from Grandma. She said that Grandpa passed away. I'm so sorry.\n[00:06 - 00:12] Speaker B: Oh, Draya. I'm so sorry to hear that. Your grandfather was a great man. He will be deeply\n[00:11 - 00:17] Speaker A: I know. It's just hard to believe he's gone. I feel like I'm in shock right now.\n[00:22 - 00:38] Speaker B: It's perfectly normal to feel that way, son. This is a lot of news to take in all at once and it's going to take some time to process it all properly. Just try and take things one step at a time and lean on us for support, okay? We're here for you no matter what you need, whether it's someone to talk to or just a quiet moment together.\n[00:39 - 00:42] Speaker A: Yeah. Thanks, Dad. I appreciate that.\n[00:43 - 00:45] Speaker B: Of course, son. That's what family is for."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--720445.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Congratulations, Elysia. You've really earned this promotion.\n[00:04 - 00:10] Speaker B: Thank you so much, boss. I'm really excited about it. It's been a long time coming and I feel like I've worked hard to\n[00:10 - 00:17] Speaker A: Sorry to jump in, but I just wanted to ask—how do you feel about the added responsibilities that come with this new role?\n[00:22 - 00:32] Speaker B: I'm definitely ready for the challenge. I know it will be a lot more work, but I'm confident I can manage it. And I was going to say, I feel like I've worked hard to get to this point, so I'm ready to prove myself.\n[00:33 - 00:41] Speaker A: You have indeed. We think very highly of you here at the company and we know that you'll do great things in your new role as senior editor.\n[00:42 - 00:45] Speaker B: Thank you, boss. I really appreciate your confidence in me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--748077.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, honey. How are you doing today?\n[00:04 - 00:07] Speaker B: I'm doing alright. How are you feeling?\n[00:07 - 00:13] Speaker A: I'm feeling a little better today. I'm still weak, but I'm getting\n[00:12 - 00:15] Speaker B: Do you think you might be ready to try taking a short walk outside?\n[00:20 - 00:26] Speaker A: Maybe tomorrow, if I keep improving. But I was going to say I'm getting stronger every day.\n[00:26 - 00:29] Speaker B: That's great news! I'm so glad to hear that you're improving.\n[00:30 - 00:35] Speaker A: Yeah, me too. It's been a long road, but I feel like I'm finally turning a corner.\n[00:35 - 00:48] Speaker B: We've been through a lot together these past few months, and I was wondering—do you feel like you need any additional support, like from a physical therapist or  maybe even some home care assistance to help with daily tasks while you continue your recovery journey?\n[00:49 - 00:56] Speaker A: No, I think I'm okay for now. But thank you for asking. It means a lot to me that you're always thinking about what I might need."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1020087.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I can't believe you would say something like that to me, Shamari. I thought we were\n[00:04 - 00:07] Speaker B: What? I was just joking around. I didn't mean to hurt your feelings.\n[00:12 - 00:22] Speaker A: Well, you did. And now I'm going to get  back at you somehow, just to even things out and teach you a lesson about being more considerate of others' emotions.\n[00:22 - 00:28] Speaker B: Wait, before you say anything, I really want to apologize. I didn't realize it would affect you like this.\n[00:28 - 00:33] Speaker A: I appreciate the apology, but I'm still going to put a spider in your bed.\n[00:33 - 00:37] Speaker B: Ahhh! No, please don't do that! I'm deathly afraid of spiders!\n[00:38 - 00:42] Speaker A: Too bad. You shouldn't have hurt my feelings. Now you're going to suffer.\n[00:42 - 00:48] Speaker B: Eddie, please don't do this! I'm sorry, okay? Just please don't put a spider in my bed!\n[00:48 - 00:55] Speaker A: Fine. I won't put a spider in your bed. But only because I'm feeling generous today. Consider yourself lucky."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--718092.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, Nadeen. How are you feeling today?\n[00:03 - 00:07] Speaker B: I'm feeling a little better, thank you. My temperature is back to\n[00:05 - 00:10] Speaker A: Sorry to jump in, but did you take any medication to help bring your temperature down?\n[00:15 - 00:21] Speaker B: Yes, I took some over-the-counter medicine. That's great! Are you still experiencing any other symptoms?\n[00:21 - 00:27] Speaker A: I'm a little tired and my throat is a little sore, but other than that I'm feeling better.\n[00:27 - 00:41] Speaker B: Well, it's good that your temperature is back to normal. Make sure to drink plenty of fluids and get some rest. If your symptoms persist, please give me a  call so we can discuss further steps like scheduling a doctor's appointment or considering stronger medication options.\n[00:42 - 00:46] Speaker A: Speaking of fluids, do you have any recommendations on what I should drink specifically?\n[00:47 - 00:53] Speaker B: Herbal teas and water are usually best. But yes, give me a call if your symptoms persist."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--7405.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much. Just been hanging out at home today.\n[00:04 - 00:10] Speaker A: Yeah, I've been home all day too. It's been nice just relaxing in our own\n[00:09 - 00:14] Speaker B: Speaking of relaxing, did you notice how the living room feels even cozier since we rearranged the furniture?\n[00:20 - 00:28] Speaker A: I know! I'm so glad we found this place. It was perfect for us. The new layout really makes a difference. So, what did you do today?\n[00:28 - 00:35] Speaker B: Not much, just hung out around the house. Did some laundry, cleaned up a bit, made lunch… nothing exciting. What about you?\n[00:35 - 00:46] Speaker A: Same here. Just chilled at home and relaxed. Watched some TV, played with the dog… nothing too exciting either. But it was nice to have a lazy day every once in awhile.\n[00:47 - 00:57] Speaker B: Yeah, I know. I think we both needed it. We've been so busy  with work and other commitments that we haven't had much time for ourselves, and I feel like we've barely had a moment to just sit down and talk properly.\n[00:58 - 01:07] Speaker A: Exactly, and with everything going on lately, it's like we never get a chance to just breathe. We should definitely make lazy days a regular thing!\n[01:07 - 01:08] Speaker B: I would love that!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--27924.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Why would you do something like this to me? I thought we were friends.\n[00:04 - 00:09] Speaker B: I'm sorry, Malek. I didn't mean to hurt you. I was just trying to help out my\n[00:08 - 00:14] Speaker A: But why did you think that helping your friend had to come at my expense? Couldn't you find another way?\n[00:19 - 00:24] Speaker B: You could have helped your friend without hurting me in the process. I don't understand why you did this.\n[00:24 - 00:39] Speaker A: I was just trying to do what I thought was best for everyone involved. I'm sorry if it  seemed like I didn't consider your feelings or the consequences of my actions, but I was under tremendous pressure and made a terrible judgment call in the heat of the moment.\n[00:39 - 00:44] Speaker B: I get that you had good intentions, but you should have considered the impact on our friendship.\n[00:44 - 00:51] Speaker A: Well, it did hurt me. I trusted you and you betrayed that trust. I don't know if I can ever forgive you for this.\n[00:52 - 00:57] Speaker B: I understand how you feel, Malek. I'm truly sorry for what I did. I hope someday you can forgive me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--556060.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm glad you're home, Daddy. I missed you.\n[00:03 - 00:05] Speaker B: I missed you too, sweetheart. How was your week?\n[00:06 - 00:09] Speaker A: It was good. I got a lot done and I had fun too.\n[00:10 - 00:12] Speaker B: That's great! What did you do for fun?\n[00:13 - 00:31] Speaker A: Well, on Tuesday night I went out to dinner with some friends and then we went to a movie. On Wednesday night I went to the park with my dog and then Thursday night I went to a concert with some other friends. Friday night I just stayed home and relaxed. And then yesterday I went shopping with my mom. So it was a really fun\n[00:30 - 00:35] Speaker B: Sorry to interrupt, but which concert did you go to on Thursday night? Was it someone you like?\n[00:39 - 00:48] Speaker A: Oh, it was a local band that my friends and I enjoy. They were really good! Anyway, as I was saying, it was a really fun week!\n[00:48 - 00:52] Speaker B: That sounds like a great week! Did you get everything done that you needed to get done?\n[00:53 - 01:13] Speaker A: Yes, I did. I finished all of my homework and cleaned my room so it's all ready for next week. And then today I helped Mom with dinner and did the dishes too. So now I'm all caught up and  completely prepared for whatever challenges or opportunities might come my way in the coming days while still having time to relax and enjoy myself.\n[01:14 - 01:17] Speaker B: That's wonderful! By the way, what did you and Mom cook for dinner?\n[01:18 - 01:25] Speaker A: We made spaghetti and meatballs. It was delicious! So now I'm all caught up and ready for next week!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--152375.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Willem, come on, we need to run faster!\n[00:03 - 00:05] Speaker B: I don't know if I can keep up with\n[00:04 - 00:09] Speaker A: You can, Willem! I know you're fast. Just trust me and go as fast as you can.\n[00:14 - 00:16] Speaker B: Alright, here goes nothing.\n[00:16 - 00:19] Speaker A: Willem! You're doing great! Keep it up!\n[00:19 - 00:29] Speaker B: Thanks, Makaylee! I'm surprised at how well I'm keeping  my breath steady despite the intense sprint, and my legs feel surprisingly strong as we approach the final stretch.\n[00:29 - 00:33] Speaker A: You're doing amazing! Just keep pushing, you're almost there!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--816805.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Marquavious. What's going on? You seem upset.\n[00:04 - 00:08] Speaker B: I'm just really frustrated right now. I feel like everything is going\n[00:07 - 00:19] Speaker A: Wrong? I'm sorry to hear that. It sounds like you're feeling pretty overwhelmed. Do you want to talk about what's going on? I might be able to help you out or at least offer some support.\n[00:24 - 00:32] Speaker B: Thanks, Marilu. I appreciate it. I guess I've just been feeling really down lately. Everything seems so hard and I don't know how to make it better.\n[00:32 - 00:42] Speaker A: Better? Well, let's start with one thing at a time then. What's been the most difficult part of your day? We can focus on that and see if we can figure out a solution together.\n[00:43 - 00:46] Speaker B: I don't know. It feels like everything is a struggle right now.\n[00:46 - 00:52] Speaker A: Okay, let's take a step back then. What's been going on that's been making you feel this way?\n[00:53 - 00:57] Speaker B: I don't know. Everything just seems so pointless. Like, what's the point of even trying anymore?\n[00:58 - 01:18] Speaker A: Well, it sounds like you're feeling really hopeless right now. That can be really tough to deal with. But it doesn't have to be permanent. There are things we can do to help you feel  better, like breaking problems into smaller steps or finding activities that bring you joy and a sense of accomplishment. Would you like to talk about some of those things?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--75062.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey boss, can I talk to you for a second?\n[00:03 - 00:04] Speaker B: What is it Jailynn?\n[00:04 - 00:12] Speaker A: I wanted to talk to you about what happened earlier. I was really embarrassed and angry when you scolded me in front of my\n[00:11 - 00:19] Speaker B: I'm sorry to cut you off, but I just want to clarify—was it the way I addressed it or the fact that it was in front of others that upset you the most?\n[00:24 - 00:31] Speaker A: Honestly, it was both. But mainly, it was the public aspect of it. It made me feel like I wasn't good enough.\n[00:32 - 00:41] Speaker B: Jailynn, I didn't mean to make you feel that way. I'm sorry if I did. But please understand that I was just trying to help you correct a mistake so that you don't make it again in the future. Okay?\n[00:42 - 00:44] Speaker A: Alright boss. Thanks for explaining it to me.\n[00:44 - 00:49] Speaker B: No problem Jailynn. Just try to understand where I'm coming from next time, okay?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1120331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, what's up?\n[00:01 - 00:02] Speaker B: Not much. What's up with you?\n[00:03 - 00:14] Speaker A: I found this small, clear baggie of drugs in my room and I think it might be cocaine or meth. I'm scared and don't want to get in trouble, so I flushed the drugs down the\n[00:13 - 00:19] Speaker B: Wait, you flushed it? Are you sure that was the best thing to do? What if it was something else entirely?\n[00:24 - 00:29] Speaker A: I know, I panicked. I'm not sure, but that's what it looked like from what I've seen on TV.\n[00:30 - 00:36] Speaker B: Well, either way, you did the right thing by getting rid of it. But now I'm curious—how do you think it got there in the first place?\n[00:37 - 00:42] Speaker A: That's the thing, I'm kind of worried that someone might have put them there to frame me or something.\n[00:42 - 00:47] Speaker B: Frame you? Why would someone want to do that? Do you think someone has a grudge against you?\n[00:47 - 00:51] Speaker A: I don't know. Maybe because I'm Hispanic?\n[00:51 - 01:01] Speaker B: That's a serious concern, but let's not jump to conclusions. Just be careful and be aware of your surroundings. If you see anything suspicious, let me know and we'll figure it out together, okay?\n[01:02 - 01:03] Speaker A: Okay, thanks."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--316554.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Yes, boss. I'll get right on it.\n[00:02 - 00:06] Speaker B: Thank you, Hudson. I appreciate your willingness to help out around\n[00:05 - 00:11] Speaker A: Sorry to jump in, but I was wondering if there's anything specific you need me to prioritize first?\n[00:16 - 00:23] Speaker B: No problem, Hudson. The most urgent task is updating the client database. After that, we can discuss the other tasks.\n[00:24 - 00:27] Speaker A: Got it. I'm happy to do whatever I can to help out.\n[00:28 - 00:30] Speaker B: That's terrific. We really appreciate it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--582721.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey Yoselin, can you come here for a sec?\n[00:03 - 00:04] Speaker B: What's up?\n[00:04 - 00:06] Speaker A: I need to talk to you about something.\n[00:07 - 00:07] Speaker B: What is it?\n[00:08 - 00:14] Speaker A: It's just that I've been asking you to do things or stop doing things and you never seem to\n[00:13 - 00:17] Speaker B: Oh, I didn't realize that was happening. Can you give me an example so I can understand better?\n[00:23 - 00:28] Speaker A: Sure, like when I asked you to lower the volume last night. I felt like I wasn't being heard.\n[00:28 - 00:31] Speaker B: I'm sorry, I didn't realize I was doing that.\n[00:31 - 00:38] Speaker A: It's just frustrating because I feel like I'm not being respected in those moments, and it makes it harder to communicate.\n[00:39 - 00:43] Speaker B: I totally get it now. So, what can I do to make sure this doesn't happen again?\n[00:43 - 00:54] Speaker A: Maybe we can set up some ground rules or something. For example, if I ask you to do something, maybe you can try to do it right away or at least acknowledge that you heard me.\n[00:54 - 00:58] Speaker B: Yeah, that makes sense. I'll definitely try to do better with that from now on."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--834165.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, how've you been?\n[00:01 - 00:04] Speaker B: I've been good. Just busy with work and stuff.\n[00:04 - 00:11] Speaker A: Yeah, I know how that is. I've been busy too. But it's nice to have a break and just relax for a bit.\n[00:11 - 00:16] Speaker B: Yeah, definitely. So, what have you been up to\n[00:15 - 00:20] Speaker A: Oh, I just remembered, I wanted to ask if you've started that new project you mentioned last time?\n[00:25 - 00:29] Speaker B: Oh, you know, just the usual. Work, hanging out with friends. Nothing too exciting.\n[00:30 - 00:37] Speaker A: Yeah, I hear you. I've been wanting to travel more lately though. Get out and explore new places.\n[00:37 - 00:40] Speaker B: Yeah, that sounds really fun! I'd love to do that too.\n[00:41 - 00:54] Speaker A: Yeah, maybe we can do that sometime soon. By the way, you were asking what I've been up to lately  I've been planning a couple of trips and working on some personal projects, including learning photography to document my travels better.\n[00:55 - 01:01] Speaker B: Oh right, I almost forgot! I wanted to say that traveling sounds amazing. Do you have any specific places in mind?\n[01:01 - 01:06] Speaker A: That would be great! I was thinking about maybe Europe or somewhere tropical."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--233562.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, it's okay. I'm here.\n[00:02 - 00:03] Speaker B: I'm scared.\n[00:04 - 00:05] Speaker A: Of what?\n[00:05 - 00:08] Speaker B: I don't know. Everything just feels so weird and\n[00:07 - 00:19] Speaker A: Uncertain? I get it. But hey, look at me. I'm not going anywhere, alright? We'll figure this out together. Just breathe, okay? In and out. That's it. Good job.\n[00:24 - 00:30] Speaker B: It's just all so overwhelming. I feel like I can't do anything right, no matter how hard I try.\n[00:31 - 00:41] Speaker A: Right now? You don't have to do everything perfectly. You're doing great. I'm proud of you for holding on as long as you have been. We'll get through this together, I promise."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--343780.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, I think I know how to fix that computer.\n[00:03 - 00:05] Speaker B: Really? Come up and take a look then.\n[00:06 - 00:09] Speaker A: Um...actually, never mind. I don't think I can\n[00:09 - 00:12] Speaker B: Wait, why would you say you could fix it if you didn't know how?\n[00:17 - 00:20] Speaker A: I don't know. I just thought maybe I could do it.\n[00:20 - 00:30] Speaker B: That's not a good enough answer. You wasted my time and now the class is  running behind because of this unexpected delay and we'll have to postpone the important lesson we were supposed to cover today.\n[00:31 - 00:34] Speaker A: I'm really sorry. I didn't mean to cause any trouble.\n[00:35 - 00:39] Speaker B: I'm sorry too, but this can't happen again. Now get back to your seat."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--566903.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hey, Andersen! I saw your wedding photo on Facebook and just wanted to say congrats! You looked so beautiful in that dress.\n[00:08 - 00:14] Speaker B: Thank you so much, Everley! It was such a special day. I'm so lucky to have found the man of my\n[00:13 - 00:20] Speaker A: Speaking of your husband, how did he react when he first saw you in that dress? I bet he was speechless!\n[00:25 - 00:37] Speaker B: Oh, he was absolutely stunned! He couldn't stop smiling. I remember he told me I looked like a princess. But I haven't mentioned how we both felt during the ceremony—it was such an emotional moment. We were both tearing up.\n[00:37 - 00:40] Speaker A: I can imagine. Those moments are unforgettable."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--630141.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, what's up? How's your day going?\n[00:03 - 00:07] Speaker B: Not bad, just plugging away at some numbers. You know how it\n[00:06 - 00:13] Speaker A: Actually, speaking of numbers, I wanted to ask you—do you think we'll be able to close the books by the end of the week?\n[00:17 - 00:32] Speaker B: That's the plan, but it might be tight. I was just about to mention that sometimes it can be a bit mind-numbing staring at numbers all day long. But I like the challenge of trying to make everything balance out in the end. Plus, I get a sense of satisfaction when everything adds up perfectly.\n[00:32 - 00:38] Speaker A: I get that! And that satisfaction is probably what makes you such a great accountant.\n[00:38 - 00:43] Speaker B: Thanks, I appreciate that. I really do love my job, even though it can be challenging at times.\n[00:43 - 00:46] Speaker A: Well, we're lucky to have you on our team!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--217814.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Alex. What's up?\n[00:02 - 00:04] Speaker B: Not much. Just enjoying the view.\n[00:04 - 00:08] Speaker A: Yeah, me too. It's really beautiful here, isn't it?\n[00:08 - 00:12] Speaker B: Yeah, it is. I'm really lucky to live in such a beautiful\n[00:11 - 00:20] Speaker A: Speaking of which, do you ever worry about how much the area might change in the future? Like with new developments or more tourists?\n[00:25 - 00:34] Speaker B: I do think about that sometimes. But I was going to say, living here has made me appreciate nature a lot more. Anyway, if the area does change, I hope they preserve its natural beauty.\n[00:34 - 00:38] Speaker A: Absolutely. Preserving the nature here is so important."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--934138.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I got your note.\n[00:01 - 00:03] Speaker B: Yes, I sent it to you specifically.\n[00:04 - 00:08] Speaker A: But why didn't you just call me and invite me to the party instead of sending a note?\n[00:09 - 00:13] Speaker B: I wanted to make sure that you knew that you were invited and that I was\n[00:12 - 00:16] Speaker A: Thinking of me? I appreciate that, but it still feels a bit impersonal.\n[00:21 - 00:25] Speaker B: I'm sorry if you feel that way. I didn't mean for it to come across like that.\n[00:25 - 00:33] Speaker A: It's just that, it would have been nice to know that I was actually invited instead of feeling like an obligation or an afterthought.\n[00:33 - 00:37] Speaker B: Afterthought, I understand. I'll make sure to be more direct next time.\n[00:37 - 00:41] Speaker A: Thank you. I just want to feel like I'm truly included.\n[00:41 - 00:44] Speaker B: I completely get that. I'll try to do better next time."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--731416.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey.\n[00:00 - 00:02] Speaker B: Hey. What's up?\n[00:02 - 00:05] Speaker A: I wanted to talk to you about what happened between\n[00:04 - 00:08] Speaker B: Yeah, I figured we should talk about it. It was pretty intense.\n[00:13 - 00:16] Speaker A: It was intense for me too. I've never felt that way before.\n[00:17 - 00:26] Speaker B: Me neither. I don't know what came over  me during that moment, but I just couldn't hold back my feelings any longer despite knowing we probably should have been more careful.\n[00:26 - 00:32] Speaker A: I think we were just caught up in the moment. We were both feeling so much passion and intensity that it took over.\n[00:33 - 00:37] Speaker B: That makes sense. I've been thinking about it a lot, and I can't stop thinking about you.\n[00:38 - 00:41] Speaker A: I feel the same way. You're all I can think about too.\n[00:42 - 00:43] Speaker B: What do we do now?\n[00:43 - 00:47] Speaker A: I don't know. I guess we just take it one day at a time and see where things go.\n[00:48 - 00:49] Speaker B: That sounds good to me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--951661.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Mom. What's up?\n[00:02 - 00:04] Speaker B: Not much. Just wondering how your day was.\n[00:04 - 00:12] Speaker A: It was fine, I guess. But I'm just so tired of everything going wrong all the time. I feel like I can't catch a\n[00:12 - 00:17] Speaker B: Oh, Lucy, I totally get that. But what exactly has been going wrong? Maybe talking about it could help.\n[00:22 - 00:32] Speaker A: It's just a bunch of little things piling up. I feel so hopeless sometimes, like there's no point in even trying anymore. Everything feels so hard and it's just not worth it.\n[00:33 - 00:46] Speaker B: Well, let me tell you something that might help cheer you up a little bit. You know how we've always told you that you're special and  that you have the strength to get through tough times because you've proven it time and again with your resilience and determination to overcome obstacles?\n[00:47 - 00:54] Speaker A: Yeah, but sometimes it just feels like words, you know? Like, I hear it, but I don't really believe it.\n[00:54 - 01:05] Speaker B: I understand that, but Lucy, those things are still true regardless of what might be going on in your life right now. You're still an amazing person with so much to offer the world. Don't forget that, okay?\n[01:05 - 01:09] Speaker A: Thanks, Mom. That actually does make me feel a little better.\n[01:09 - 01:15] Speaker B: I'm glad to hear that, sweetie. Just remember that we love you and we're always here for you, no matter what."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--999053.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: Mom, I had a really bad dream last night. There were these monsters chasing me and I was running away from them. I was screaming and trying to get away, but they were getting closer and closer. It was so\n[00:13 - 00:24] Speaker B: Oh, Karoline, it sounds like you had a nightmare. Monsters aren't real, they're just made up in our imaginations. They can't hurt you unless you let them. But, do you remember anything specific about the monsters?\n[00:29 - 00:34] Speaker A: I know they're not real, but it was still so scary. I don't think I can forget about it.\n[00:35 - 00:46] Speaker B: Well, maybe we can talk about it and see if that helps. What do you think the monsters  might have been trying to tell you or represent in your dream, considering how vivid and persistent they were in chasing you throughout the nightmare?\n[00:46 - 00:51] Speaker A: I don't know. Maybe they represented my fear of failure or something.\n[00:51 - 00:55] Speaker B: That's a possibility. Do you feel like you're failing at something right now?\n[00:55 - 01:00] Speaker A: No, not really. But I am kind of scared about starting high school next year.\n[01:00 - 01:08] Speaker B: Ah, that makes sense. It's normal to be scared about something like that. But you'll be okay, I promise. Just take things one step at a time and you'll be fine.\n[01:09 - 01:13] Speaker A: Yeah, I guess you're right. Thanks for talking to me, Mom.\n[01:13 - 01:17] Speaker B: Of course, sweetie! Anytime you need to talk, just let me know."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--41116.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey Tony, I found out that I can become an angel.\n[00:03 - 00:04] Speaker B: Really? How?\n[00:04 - 00:12] Speaker A: Well, I was doing some research and I found out that if you pray to God and ask to be an angel, He will make it\n[00:11 - 00:16] Speaker B: Wait, are you sure about this? I mean, has anyone actually succeeded in doing that before?\n[00:21 - 00:24] Speaker A: I don't know. But it's worth a try, right?\n[00:24 - 00:28] Speaker B: I guess so. When are you going to start praying and asking for this?\n[00:28 - 00:41] Speaker A: Actually, I was thinking tonight. Do you think I should do anything special to prepare like  creating a sacred space for prayer or perhaps fasting beforehand to show my complete dedication to this divine transformation?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1124666.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I'm sorry to cancel on such short notice, but I really think it's important that I focus on my job right now.\n[00:06 - 00:09] Speaker B: What's going on? You've been really distracted\n[00:08 - 00:14] Speaker A: Sorry to interrupt, but I noticed you were about to say something important. Could you finish your thought?\n[00:20 - 00:25] Speaker B: It's just a lot of things. My grandmother is sick and I'm worried about her, and I've been having some trouble at home with my boyfriend.\n[00:26 - 00:42] Speaker A: Maven, you're one of the most talented chefs I've ever worked with, and I hate to see you struggling like this. If there's anything I can  do to help you manage your workload or support you personally, whether it's adjusting your schedule or just being someone to talk to, please let me know.\n[00:43 - 00:47] Speaker B: I appreciate your concern, but I just need some time to sort things out. Thank you, boss."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--530500.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Hey, Mahnoor. I'm really sorry about getting you hooked on crack. I can see how much you're struggling and I know it's all my\n[00:07 - 00:13] Speaker B: It's not your fault, Chayse. I made the choice to try it and I'm the one who's responsible for my own addiction.\n[00:17 - 00:30] Speaker A: But if I hadn't gotten you started, you wouldn't be in this  situation where you're battling addiction every single day, and I can't stop thinking about how different things might have been if I'd just said no when you asked.\n[00:30 - 00:36] Speaker B: You can't blame yourself for my addiction, Chayse. I take responsibility for my own choices and actions.\n[00:36 - 00:39] Speaker A: I know, but I can't help but feel guilty.\n[00:40 - 00:47] Speaker B: Guilt won't help either of us, Chayse. What's done is done. We need to focus on the present and what we can do to make things better.\n[00:47 - 00:49] Speaker A: You're right, Mahnoor. I'm sorry.\n[00:50 - 00:53] Speaker B: It's okay, Chayse. Let's just try to move forward from here."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--403051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: I don't understand why people are always drawn to negativity and drama instead of positivity and happiness. It just doesn't make sense to\n[00:08 - 00:16] Speaker B: Sorry to jump in, but do you think it might have something to do with the way media portrays things? It seems like negativity gets more attention because it sells more.\n[00:22 - 00:40] Speaker A: That's a good point. Media does play a huge role in shaping our perceptions. But I think it also has to do with the way we're wired as humans. We're constantly seeking out ways to improve our lives, and unfortunately, negativity and drama often seem more exciting than positivity and happiness.\n[00:40 - 00:51] Speaker B: But why is that? Why can't we just focus on  fostering a mindset that appreciates the positives and actively seeks out opportunities to cultivate joy in our daily lives through simple acts of kindness and gratitude?\n[00:52 - 01:08] Speaker A: —on the good things in life? I think it's because we're always looking for ways to grow and learn. When something negative happens, it forces us to examine our own lives and see where we can improve. With positive things, there's often not as much opportunity for growth or learning.\n[01:09 - 01:14] Speaker B: I see what you mean. But don't you think that focusing on the negative all the time is just going to make us more unhappy?\n[01:15 - 01:27] Speaker A: Yes, I definitely think that's true. But I also think that if we can find a balance between focusing on the positive and the negative, then we can really start to create lasting happiness in our lives."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--322914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Janaya. I haven't heard from you in a few days and was wondering what's up.\n[00:05 - 00:09] Speaker B: Hey, Katina. Sorry, I've just been really busy\n[00:08 - 00:13] Speaker A: Busy? Is everything okay? I was starting to get a little worried.\n[00:17 - 00:24] Speaker B: Yeah, everything is fine. I'm just really busy with work and other things like trying to balance some personal commitments as well.\n[00:24 - 00:29] Speaker A: Work must be crazy right now. Are you managing to find any time for yourself?\n[00:30 - 00:34] Speaker B: Not really, but I'm hoping to catch a break soon. I'll talk to you later, Katina."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--265946.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I'm sorry for what I did. I didn't mean to steal from you, I was just desperate.\n[00:05 - 00:09] Speaker B: Why were you desperate? What's going on in your life that made you think\n[00:08 - 00:18] Speaker A: I just... it's been really hard. My family's going through some tough times, and I've been trying to help out as much as I can. But we're barely getting by as it is.\n[00:23 - 00:29] Speaker B: That's tough. I know how it feels to be struggling like that. But stealing is never the answer. It only makes things worse.\n[00:30 - 00:38] Speaker A: I know that now. And I'm sorry for what I did. It won't happen again, I promise I'll find another way to help my family.\n[00:38 - 00:46] Speaker B: I need to make sure you understand how serious this is. If it happens again, you'll be banned from the store permanently. Understand?\n[00:46 - 00:50] Speaker A: Yes, sir. Thank you for understanding and giving me another chance."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--315768.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, tell me more about your language. It's really fascinating.\n[00:03 - 00:09] Speaker B: Well, it's actually quite a simple system of sounds and gestures that we use to communicate more\n[00:08 - 00:13] Speaker A: Sorry to jump in, but do you find that it's easier to learn than traditional languages?\n[00:17 - 00:32] Speaker B: Definitely, it's much more intuitive. I was about to say that it helps me communicate more effectively with people now  who might have different linguistic backgrounds or even hearing impairments, as the system relies on universal concepts rather than specific vocabulary or grammar rules.\n[00:33 - 00:37] Speaker A: And do you think this method could be adapted for others who struggle with traditional languages?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--601727.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, what do you think about the latest celebrity scandal?\n[00:03 - 00:06] Speaker B: I don't really know. I just feel bad for them, you\n[00:05 - 00:13] Speaker A: But don't you think it's kind of inevitable? I mean, they live such public lives, it's like their mistakes are magnified for everyone to see.\n[00:18 - 00:23] Speaker B: Yeah, I guess. It's just so fascinating to see their lives fall apart like that.\n[00:23 - 00:30] Speaker A: I know! It's like, no matter how much money they have, they can't escape the inevitable train wreck that is fame.\n[00:31 - 00:41] Speaker B: Exactly! It makes you wonder if it's all worth — the constant scrutiny and pressure, the loss of privacy, and the way every personal struggle becomes public entertainment for millions of strangers.\n[00:41 - 00:51] Speaker A: Worth it? I wonder too. I mean, they have to deal with the constant pressure of living up to everyone's expectations and avoiding any sort of mishap or controversy.\n[00:51 - 00:56] Speaker B: Yeah, it seems like such a high price to pay for something that doesn't even last forever.\n[00:56 - 01:02] Speaker A: Absolutely! Sooner or later, everyone's 15 minutes are up and then they're quickly forgotten about."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--101351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I think I left it in my room, but I'm not sure. I've looked everywhere and it's just not\n[00:05 - 00:10] Speaker B: Wait, did you check your backpack? Sometimes you put things in there without realizing it.\n[00:15 - 00:27] Speaker A: I didn't think of that. Let me check—no, it's not in there. I really don't know where else it could be  unless it somehow ended up in the laundry basket or maybe fell behind some furniture while I was cleaning earlier today.\n[00:27 - 00:31] Speaker B: Could it be in the living room? Maybe you left it there when you were packing.\n[00:32 - 00:35] Speaker A: I'll check there next. Thanks, Mom."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--907119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, boss. I've got some good news and some bad news.\n[00:03 - 00:04] Speaker B: What's the good news?\n[00:05 - 00:14] Speaker A: The good news is that we've found a large oil reserve. It looks like there's a lot of oil here, and we should be able to extract it relatively\n[00:13 - 00:17] Speaker B: Hold on—when you say 'a lot of oil,' do we have any estimates on the volume?\n[00:22 - 00:32] Speaker A: We estimate it's in the range of several million barrels, which is why it's such a significant find. But I was going to mention that it should be relatively easy to extract.\n[00:32 - 00:36] Speaker B: Excellent! This is great news for the company. What's the bad news?\n[00:36 - 00:58] Speaker A: The bad news is that this reserve is located in a very remote area. It's going to be expensive to set up operations here, and it will be difficult to  manage the logistics of getting the necessary equipment and workforce to the site, not to mention the environmental impact assessments and regulatory approvals we'll need to secure before we can even begin construction.\n[00:59 - 01:05] Speaker B: Expensive in terms of infrastructure, I assume? Are we talking about new roads, pipelines, or both?\n[01:05 - 01:17] Speaker A: Yes, exactly. We would need to build new roads and pipelines, which adds to the complexity. I was also going to say it will be difficult to transport the oil once we extract it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--263928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Daddy, the fox is going to catch that rabbit!\n[00:02 - 00:04] Speaker B: Yes, it looks like he's gaining on\n[00:03 - 00:06] Speaker A: Oh, no! The rabbit is going to get eaten!\n[00:12 - 00:18] Speaker B: Well, that's the circle of life. The strong prey on the weak. That's just how nature works, even though it can be hard to watch.\n[00:18 - 00:22] Speaker A: But daddy, can't we do something? Can't we help the rabbit?\n[00:22 - 00:27] Speaker B: I'm afraid there's nothing we can do, Baker. We have to let nature take its course.\n[00:28 - 00:29] Speaker A: But that's so sad.\n[00:29 - 00:32] Speaker B: I know it is, Baker. But sometimes that's just the way it is."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1101857.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Sarah, I'm really not sure what I should do. I feel like I need to make a decision, but every time I try to, something holds me\n[00:08 - 00:13] Speaker B: What exactly is holding you back? Is it fear of the unknown, or maybe something else that's making you hesitate?\n[00:18 - 00:37] Speaker A: I think it's a combination of things. There are just so many options, and I don't want to choose the wrong one. What if I make a mistake and regret it  down the line when it's too late to change course and I've already invested significant time and resources into a path that doesn't fulfill me? That thought keeps me from moving forward.\n[00:37 - 00:46] Speaker B: Regret is part of life, Tyesha. But if you don't take any steps forward, you'll never know what could have been. Sometimes, taking a risk is the best way to learn and grow.\n[00:46 - 00:50] Speaker A: You're right. I just need to trust my gut and go with my instinct.\n[00:51 - 00:53] Speaker B: That's the spirit! I know you'll make the right decision."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--11862.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I really want to finish this so I don't waste any time.\n[00:03 - 00:09] Speaker B: Yeah, me too. I hate it when I have to spend extra time on something because I wasn't careful\n[00:08 - 00:17] Speaker A: Oh, I know exactly what you mean. That's why I'm being as careful and concise as possible in my actions. Hopefully, that'll help me finish sooner.\n[00:22 - 00:29] Speaker B: Right, but if you rush too much, you might miss something important. Are you sure you're not overlooking any details?\n[00:29 - 00:38] Speaker A: That's a good point. I'm trying to balance speed with accuracy, but this is tougher than it looks especially with the tight deadline we're working under.\n[00:38 - 00:42] Speaker B: I can imagine. Maybe a second pair of eyes would help? Let me know if you need any help.\n[00:43 - 00:48] Speaker A: I appreciate that. I might take you up on that offer. Thanks again."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--338832.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much. How are you doing in school?\n[00:03 - 00:09] Speaker A: I'm struggling. I don't understand my assignments and I get poor\n[00:08 - 00:11] Speaker B: Wait, are you getting enough support from your teachers?\n[00:16 - 00:24] Speaker A: Well, I try to ask questions, but it feels like everyone is judging me because I'm not getting it, and my grades are really suffering.\n[00:25 - 00:29] Speaker B: That sounds very challenging. Have you been speaking to your teacher about this?\n[00:29 - 00:37] Speaker A: Yeah, but it doesn't really help. They just tell me to try harder or study more, but I don't know how when everything is still so confusing.\n[00:38 - 00:43] Speaker B: Let's see if we can figure out a plan together. Do you have a specific subject that is causing you the most trouble?\n[00:43 - 00:47] Speaker A: Yeah, math is really hard for me right now.\n[00:47 - 00:53] Speaker B: Okay, let's start with that then. Do you have any ideas of how we can make math easier for you?\n[00:53 - 01:05] Speaker A: I don't know. It's just so hard. I've been trying to get a tutor, but  they aren't available as often as I need and even when we do meet, the explanations still don't click for me the way I hoped they would.\n[01:06 - 01:10] Speaker B: Have you considered changing your study environment? Sometimes a different setting can help.\n[01:11 - 01:17] Speaker A: I haven't thought about that. Maybe that could help, but I was going to say the tutor hasn't really helped either.\n[01:17 - 01:25] Speaker B: Got it. Well, let's try something else then. What if we set up a meeting with your math teacher and go over things together? Would that be okay with you?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--596068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, Kenley. What's up?\n[00:01 - 00:06] Speaker B: Not much. Just wanted to ask how you're doing. You seem a bit distracted lately.\n[00:06 - 00:09] Speaker A: I'm fine, just have a lot on my\n[00:08 - 00:15] Speaker B: Sorry to interrupt, but is this about that big project at work? I've noticed it's been really demanding.\n[00:20 - 00:28] Speaker A: The project is part of it, but it's also other things. Mostly stress from work and life in general. Thanks for offering though.\n[00:28 - 00:39] Speaker B: No problem. I care about you and want to help if I can. Let me know if you ever need to  talk or need a break from everything because sometimes stepping away for a short while can help clear your mind and give you fresh perspective.\n[00:39 - 00:44] Speaker A: Actually, speaking of help, do you have any advice on managing stress?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--25283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: This dinner was amazing. I'm so full, but it was all\n[00:04 - 00:10] Speaker B: Sorry to interrupt, but I just wanted to say how much I appreciate you saying that. It means a lot to me.\n[00:15 - 00:19] Speaker A: I'm glad you enjoyed it! I had a great time cooking for you.\n[00:19 - 00:22] Speaker B: You're an excellent cook. Everything tasted so good.\n[00:22 - 00:25] Speaker A: Thank you, Kambrie. I'm glad you liked it.\n[00:25 - 00:35] Speaker B: I did. I'm really glad we got to spend some time  catching up and just enjoying each other's company without any distractions or worries about work or other obligations that usually take up our time.\n[00:36 - 00:41] Speaker A: Together, yes, me too. Kambrie, can I ask you something?\n[00:41 - 00:42] Speaker B: Of course, what is it?\n[00:43 - 00:45] Speaker A: How do you feel about relationships?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--843172.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Dad, do you remember that painting we saw when I was younger? The one with the shipwreck?\n[00:05 - 00:08] Speaker B: Yes, I remember it well. It was a beautiful\n[00:08 - 00:16] Speaker A: Beautiful, but also haunting. I've been thinking about it lately and wondering what happened to those people in the painting. They looked so sad.\n[00:22 - 00:34] Speaker B: Well, we don't know for sure what happened to them, but we can imagine. Maybe they were rescued by another ship or maybe they built a raft and floated to safety. Or maybe they all perished in the storm that caused the shipwreck in the first place.\n[00:34 - 00:45] Speaker A: Sorry to interrupt, but I just can't stop thinking about how terrifying it must have been for them. Being stranded on that island with no help coming—it must have been so scary.\n[00:45 - 00:52] Speaker B: Yes, it would have been a very frightening experience for sure. But we don't know for certain what happened to them, so let's not dwell on it too much."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--475039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I had a light dinner of soup and salad. I feel full afterwards and go to bed\n[00:05 - 00:10] Speaker B: Sorry to jump in, but are you sure that's enough? You need to take care of yourself, especially with your health problems.\n[00:15 - 00:21] Speaker A: I know. I just feel like I need to be careful with what I eat. I don't want to end up making myself sick.\n[00:22 - 00:37] Speaker B: You're right, you should be careful. But you also need to make sure you're getting enough nutrients. Soup and salad might not be  sufficient for your needs, especially if you're not supplementing with other nutrient-rich foods like lean proteins, whole grains, and healthy fats that provide sustained energy.\n[00:38 - 00:44] Speaker A: I get what you're saying, and I'll try to have a more balanced meal tomorrow. But tonight, I just really want to sleep."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--8155.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi! I'd like to purchase this CD please.\n[00:03 - 00:05] Speaker B: That will be $12.99.\n[00:05 - 00:08] Speaker A: OK, here you go.\n[00:07 - 00:11] Speaker B: Sorry to interrupt, but do you have a membership card? You might get a discount.\n[00:16 - 00:22] Speaker A: Oh, I didn't know that. I don't have one right now, but I'll consider getting one next time. Here you go.\n[00:23 - 00:23] Speaker B: Thank you!\n[00:24 - 00:27] Speaker A: Thanks! I can't wait to get home and listen to it.\n[00:27 - 00:32] Speaker B: Just a quick reminder, make sure to keep your receipt in case you need to return or exchange the CD.\n[00:33 - 00:38] Speaker A: Oh, good point! I'll keep it safe. I can't wait to get home and listen to it.\n[00:38 - 00:39] Speaker B: Have a great day!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--58019.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, John. How's everything going?\n[00:02 - 00:06] Speaker B: Things are going well. Business is good. We're making a lot of\n[00:06 - 00:14] Speaker A: Sorry to jump in, but do you think we should reinvest some of that profit back into the business, maybe in marketing or expanding our product line?\n[00:19 - 00:30] Speaker B: That's actually a great idea. Reinvesting could definitely help us grow even more. I was going to say we're making a lot of money, but putting some of it back into the business could really set us up for long-term success.\n[00:30 - 00:37] Speaker A: Absolutely. I'm happy to hear that. I've always wanted to own my own business and I'm glad that it's doing well.\n[00:37 - 00:47] Speaker B: Me too. I'm glad we're partners. We make a great team, especially when it comes to brainstorming new ideas and  implementing innovative solutions that give us a competitive edge in the market.\n[00:48 - 00:58] Speaker A: Speaking of our partnership, have you thought about our roles as we scale? Maybe we should start defining them more clearly to avoid any confusion down the road.\n[00:58 - 01:07] Speaker B: That's a good point. We do need to clarify our roles as we grow. I was saying we make a great team, and I think part of that is ensuring we're both clear on our responsibilities.\n[01:08 - 01:11] Speaker A: Exactly. Thanks, John. I appreciate your support.\n[01:12 - 01:16] Speaker B: You're welcome. I know you've worked hard to make this business a success. You deserve it.\n[01:17 - 01:19] Speaker A: Thanks. I appreciate that."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1001071.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Thank you so much for everything you've done for me. I really appreciate it.\n[00:04 - 00:06] Speaker B: You're welcome. I'm just glad I could\n[00:05 - 00:11] Speaker A: Speaking of which, I was wondering, how do you manage the stress that comes with dealing with such difficult cases?\n[00:17 - 00:34] Speaker B: That's a great question. Managing stress is definitely a challenge, but I try to focus on the positive outcomes and take time for self-care. I was going to say that I'm glad I could help people when I  see them making progress or overcoming their challenges, as it reminds me why this work is so meaningful and rewarding in the long run.\n[00:34 - 00:41] Speaker A: Absolutely, taking care of yourself is so important. Do you ever find that the emotional toll affects your personal life?\n[00:42 - 00:46] Speaker B: Sometimes it does, but I've learned to create boundaries and find ways to decompress after work."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--265829.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm so sorry, officer. I didn't realize I was going that fast.\n[00:04 - 00:08] Speaker B: It's okay, we all make mistakes. But you were speeding quite a bit and we have to\n[00:08 - 00:12] Speaker A: I understand. Can I ask why you had to handcuff me?\n[00:17 - 00:25] Speaker B: It's procedure when we take someone into custody. You're not under arrest, but we need to restrain you so that you don't try to run away or hurt yourself.\n[00:26 - 00:30] Speaker A: Okay, that makes sense. Am I going to be taken to the station?\n[00:31 - 00:33] Speaker B: Yes, we'll need to process your paperwork there.\n[00:33 - 00:35] Speaker A: Will I be able to make a phone call?\n[00:36 - 00:38] Speaker B: Yes, you'll be able to make a phone call from the station."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--978945.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I just don't understand why I didn't make the team. I worked so hard and I really wanted\n[00:05 - 00:13] Speaker B: I know it's tough, but sometimes it's not just about how hard you work. Did you get any feedback from the coach? Maybe there's something specific you can work on for next time.\n[00:19 - 00:34] Speaker A: I didn't really get any feedback, but it just feels like everyone else on the team is so much better than  me, especially when it comes to speed and agility during crucial moments in the game when we need quick transitions from defense to offense.\n[00:34 - 00:43] Speaker B: Better? Brock, you're one of the best soccer players I know. It's not about being better or worse; it's about fitting into the team strategy. Your talent is not the issue here.\n[00:43 - 00:49] Speaker A: Yeah, I guess you're right. Thanks for talking to me, I feel better now.\n[00:49 - 00:50] Speaker B: Of course, anytime."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--208819.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Stop it! What are you doing?\n[00:02 - 00:05] Speaker B: She started it! She hit me\n[00:04 - 00:08] Speaker A: I don't care who started it. This has to stop. Now.\n[00:12 - 00:18] Speaker B: Fine. But she better not come near me  or I'll have to defend myself again because I won't just stand there and take it this time.\n[00:19 - 00:23] Speaker A: Don't worry, I'll make sure she doesn't. But I need to understand what happened.\n[00:24 - 00:26] Speaker B: She just came up to me and started hitting me for no reason!\n[00:27 - 00:31] Speaker A: That's awful. I'm so sorry you had to go through that.\n[00:31 - 00:33] Speaker B: Yeah, it was pretty scary.\n[00:33 - 00:38] Speaker A: Do you want to talk about it? I'm here for you if you need to talk."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--317167.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I got my hair cut yesterday, and I really don't like it. The barber just didn't seem to understand what I\n[00:06 - 00:10] Speaker B: Oh no, that sounds frustrating. Did you try showing them a picture of what you wanted?\n[00:15 - 00:23] Speaker A: I did, but it's too short on the sides and the back, and it's not styled the way I wanted it. I feel like a total slob.\n[00:23 - 00:29] Speaker B: I'm sorry to hear that, Ronni. Maybe there's something we can do to fix it. Have you tried styling it differently?\n[00:30 - 00:38] Speaker A: I've tried a few things, but nothing seems to work. It just looks bad no matter what I do, and it's really starting to get on my nerves.\n[00:38 - 00:45] Speaker B: I get it, but sometimes a fresh perspective helps. Why don't you let me take a look at it? Maybe I can suggest something.\n[00:45 - 00:50] Speaker A: Sure, why not? It can't look any worse than it does now.\n[00:50 - 00:57] Speaker B: Okay, let's take a look. Hmm...I think we can definitely improve it. I think if we style it differently, it will look much better.\n[00:57 - 00:59] Speaker A: Really? You think so?\n[00:59 - 01:02] Speaker B: Absolutely! Let me show you what I mean."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--494198.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Wow, I had no idea this ring was so valuable!\n[00:03 - 00:06] Speaker B: Yes, it's made of gold and has a diamond on\n[00:05 - 00:11] Speaker A: Wait, a diamond? I thought it was just a simple gold ring. Why did you never tell me how much it was worth?\n[00:16 - 00:29] Speaker B: I didn't want you to feel pressured to take care of it. It's been in our family for generations and I wanted you to  have the freedom to enjoy it without worrying too much about its value. The sentimental worth is far more important than any monetary value it might hold.\n[00:30 - 00:34] Speaker A: I understand, but now I feel like I need to be extra careful with it!\n[00:35 - 00:37] Speaker B: Don't worry, just enjoy wearing it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--245101.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey there, cutie. You looking good today.\n[00:02 - 00:04] Speaker B: Thanks. I try my\n[00:03 - 00:11] Speaker A: Sorry to jump in, but I just have to ask—what's your secret? You always seem to have this effortless glow about you.\n[00:16 - 00:23] Speaker B: Oh, it's really nothing special, just a mix of good skincare and a bit of confidence. But I was going to say, I try my best with what I have.\n[00:23 - 00:27] Speaker A: Well, whatever you're doing, it's working. You look amazing.\n[00:27 - 00:32] Speaker B: Aw, thank you, Khari. You always know just what to say to make someone feel good.\n[00:32 - 00:41] Speaker A: That's because I only ever say what I mean, and I always mean what I say. Especially when it comes to compliments like this because you truly deserve them.\n[00:42 - 00:47] Speaker B: Speaking of which, do you have any plans for today? You seem like you're in a really good mood.\n[00:47 - 00:55] Speaker A: I was just about to ask you the same thing! But yes, I do have some plans—mostly just running a few errands. How about you?\n[00:55 - 00:58] Speaker B: Nothing much, just enjoying the day and trying to relax.\n[00:58 - 01:04] Speaker A: Sounds perfect. Well, whatever you end up doing, I hope it's as fabulous as you are."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--181032.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: What's up with you? I'm in a bad mood.\n[00:02 - 00:08] Speaker B: Oh, sorry. What's been bothering you lately? I noticed you've seemed really\n[00:07 - 00:14] Speaker A: Everything! I'm sick of this crap town, these stupid people and this god-awful job! I just can't take it anymore!\n[00:19 - 00:28] Speaker B: It sounds like you're really stressed out. Maybe you should take some time off to clear your head and  consider all your options carefully before making any drastic decisions about your future.\n[00:28 - 00:33] Speaker A: I don't need a break! I need to get out of here! This place is driving me insane!\n[00:34 - 00:37] Speaker B: Why don't you just quit then? If it's that bad, then why stay?\n[00:38 - 00:44] Speaker A: Because I have bills to pay and I can't just up and leave! But trust me, as soon as I can, I am gone!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--477920.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, what were some of your favorite books growing up?\n[00:03 - 00:08] Speaker B: I loved the Harry Potter series, obviously. But I also really enjoyed The Hunger Games and\n[00:06 - 00:16] Speaker A: Oh, The Hunger Games! That was such an intense series. I remember being on the edge of my seat the whole time. How did you feel about the ending?\n[00:20 - 00:30] Speaker B: The ending was definitely surprising, but I think it made sense for Katniss's character arc. By the way, I also really liked Divergent—especially the way it handled the concept of factions.\n[00:31 - 00:37] Speaker A: Divergent was great too! But speaking of Katniss, do you think her decisions in the last book were justified?\n[00:38 - 00:46] Speaker B: Absolutely, though they were tough decisions. But going back to Divergent, I think the way the series explored identity and society was really thought-provoking."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--338555.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, Andrey, how are you feeling about driving so far?\n[00:03 - 00:05] Speaker B: It's been a lot of fun. I'm really enjoying it.\n[00:06 - 00:11] Speaker A: That's great to hear! What do you think is the most challenging part of\n[00:09 - 00:16] Speaker B: I would say it's getting used to all the different controls in the car. It seems like there's a lot to remember and keep track of.\n[00:21 - 00:34] Speaker A: You're right, there are a lot of controls in a car. But with practice, it will become second nature to you. Just take your time and don't get overwhelmed by the number of things happening at once. Focus on one thing at a time.\n[00:34 - 00:41] Speaker B: Actually, speaking of not getting overwhelmed, do you have any tips for staying calm during stressful situations on the road?\n[00:41 - 00:54] Speaker A: Absolutely, staying calm is crucial. One thing that helps is to always plan ahead and stay aware of your surroundings. Also, remember that it's okay to take a deep breath and refocus if you start to feel stressed."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--55746.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm glad I could help you with your finger, Cali. How did you hurt\n[00:03 - 00:07] Speaker B: I was playing with my friends and we were climbing a tree. I fell and landed on my hand.\n[00:12 - 00:16] Speaker A: Oh, that sounds serious. Did you hit your head or anything else when you fell?\n[00:16 - 00:22] Speaker B: No, just my hand. The pain isn't as bad as it was before, so I'm feeling better now.\n[00:22 - 00:36] Speaker A: That's good. You should keep the band-aid on for a little while longer just to be  safe, and make sure you don't put too much pressure on your hand for a few days while it fully heals to prevent any further injury or complications.\n[00:36 - 00:39] Speaker B: Oh, I will for sure. Thanks for helping me, Hali."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--588465.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I saw you talking to that guy earlier. What were you really meeting him for?\n[00:04 - 00:08] Speaker B: I wasn't meeting him for anything. I was just talking to\n[00:07 - 00:09] Speaker A: Why were you lying to me then?\n[00:14 - 00:25] Speaker B: I wasn't lying to you. I just didn't want to tell you the truth because I knew you wouldn't  understand why I had to discuss it with him privately since the project involves confidential client information that I'm legally bound to protect.\n[00:26 - 00:27] Speaker A: So you were lying by omission.\n[00:28 - 00:29] Speaker B: I guess you could say that.\n[00:30 - 00:32] Speaker A: Why can't you just be honest with me?\n[00:32 - 00:36] Speaker B: I am being honest with you. I just didn't tell you the whole truth because I knew you wouldn't approve.\n[00:37 - 00:38] Speaker A: But now I don't trust you.\n[00:39 - 00:43] Speaker B: Hasani, I'm sorry. I didn't mean to make you not trust me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--876226.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, John. What's up?\n[00:01 - 00:03] Speaker B: Not much. Just hanging\n[00:03 - 00:09] Speaker A: Sorry to jump in, but did you get a chance to check out that new coffee shop downtown? I've been meaning to ask you.\n[00:14 - 00:18] Speaker B: Oh, I haven't yet, but I've heard good things. Anyway, you were saying?\n[00:18 - 00:22] Speaker A: Yeah, I was just asking if you've been seeing anyone lately?\n[00:23 - 00:24] Speaker B: Nope. Still single. You?\n[00:25 - 00:36] Speaker A: Oh, I'm still single too. I was just wondering if you were interested in going out on a date or  maybe grabbing dinner sometime and getting to know each other better outside of our usual hangouts?\n[00:37 - 00:42] Speaker B: Wait, are you serious? I didn't expect that, but I'm definitely interested!\n[00:42 - 00:45] Speaker A: Yeah, I would love to! When were you thinking?\n[00:46 - 00:48] Speaker B: Oh, um, maybe this weekend?\n[00:48 - 00:51] Speaker A: Sounds great! I'll pick you up at 8?\n[00:51 - 00:53] Speaker B: Okay, great! I'll see you then."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--169636.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: How did you find this dog? He's so cute!\n[00:03 - 00:08] Speaker B: I saw him on the side of the road. He looked hungry and alone, so I picked him up and brought him\n[00:07 - 00:15] Speaker A: Are you sure that's safe? I mean, he could have been lost or belonged to someone nearby. Did you check if he had any tags?\n[00:20 - 00:28] Speaker B: He didn't have any tags, and I looked around for a bit to see if anyone was searching for him, but no one was around. I'm going to keep him. He's a good dog.\n[00:28 - 00:31] Speaker A: You can't just keep him! We can't afford another pet.\n[00:32 - 00:45] Speaker B: I'll take care of him. I'll pay for his food and  any vet bills that come up, including vaccinations and regular check-ups. I know it's a big responsibility, but I'm ready for it and have been saving up specifically for situations like this.\n[00:45 - 00:54] Speaker A: It's not just about the money, Walter. We already have two dogs, and it's a lot of work. Adding a third one might be too much for us to handle.\n[00:54 - 00:57] Speaker B: Please, Wilmer. Just let me keep him. I promise I'll take care of him.\n[00:58 - 01:03] Speaker A: Fine. But you're responsible for everything related to this dog, got it?\n[01:03 - 01:05] Speaker B: I got it. Thanks, Wilmer."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1132437.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: You sure are sweaty.\n[00:01 - 00:04] Speaker B: Yeah, it's really hot out today.\n[00:04 - 00:08] Speaker A: It is. I'm trying to keep my cool, but it's\n[00:07 - 00:12] Speaker B: Do you think it's going to get even hotter later? I mean, it's barely noon, and it's already unbearable.\n[00:18 - 00:24] Speaker A: It might, but I was going to say it's tough to stay cool when there's no breeze at all.\n[00:24 - 00:27] Speaker B: Yeah, I know what you mean. I sweat a lot myself.\n[00:28 - 00:31] Speaker A: Yeah, I can see that. You're really drenched.\n[00:32 - 00:42] Speaker B: Yeah, it's not fun. But at least we're not alone in this  heat. It seems like everyone is struggling today with the extreme weather conditions that have been persisting for weeks now without any sign of relief.\n[00:43 - 00:47] Speaker A: Speaking of which, do you think we should grab some cold drinks? It might help a bit.\n[00:48 - 00:51] Speaker B: Yeah, that's true. At least we can suffer together.\n[00:52 - 00:55] Speaker A: Ha, yeah. I guess that's one way to look at it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674667.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hey doc, I've been feeling really good lately. I've been losing weight, working out more, and eating\n[00:05 - 00:14] Speaker B: That's fantastic! Before you continue, I just want to ask—have you noticed any changes in your energy levels or sleep patterns since you started these new habits?\n[00:19 - 00:30] Speaker A: Actually, yes! My energy levels have gone up, and I've been sleeping better too. I feel like I'm finally getting my life back on track. I'm so much happier now.\n[00:30 - 00:40] Speaker B: Well, congratulations! You should be very proud of yourself. Making these changes can be difficult, but it sounds like you're doing a great job. Keep up the good work!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--727873.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: I'm sorry, I know I shouldn't have broken in, but I really needed to find that book. It's been driving me crazy trying to\n[00:07 - 00:11] Speaker B: What book are you talking about? And how did you even know it was here?\n[00:16 - 00:24] Speaker A: I heard about it from a friend and she said it was in this loft. I didn't mean to cause any trouble, I just really wanted to find it.\n[00:24 - 00:36] Speaker B: How did your friend even know about this book? It's not something that's widely  advertised or talked about in academic circles either, which makes me wonder how your bookstore friend came across such a specialized historical reference text.\n[00:37 - 00:47] Speaker A: She works in a bookstore and heard about it from one of the customers who was looking for it. Apparently, they had checked everywhere but couldn't find it so she thought maybe it was here.\n[00:48 - 00:52] Speaker B: That still doesn't explain why you decided to break in rather than just asking me if I had the book.\n[00:53 - 01:06] Speaker A: Well, I didn't want to bother you if you didn't have it and I figured since your place was open anyway, that maybe I could take a look myself. Again, I'm sorry for breaking in and causing any trouble.\n[01:06 - 01:17] Speaker B: It's not like you did any damage or anything so don't worry about it too much. As long as you're not going to try and steal anything else, you can stay and look for the book. Just be careful not to make too much of a mess."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--835488.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: This pizza was really good! I'm so glad we decided to get it.\n[00:05 - 00:08] Speaker B: Yeah, it was great! I'm glad we could\n[00:07 - 00:11] Speaker A: Sorry to interrupt, I just remembered, do you have any favorite pizza toppings?\n[00:17 - 00:20] Speaker B: Oh, I love pepperoni and mushrooms. So, what do you like to do for fun?\n[00:21 - 00:25] Speaker A: I like to read, listen to music, and go on walks. What about you?\n[00:26 - 00:34] Speaker B: I like to read and listen to music too! I also like to  try new recipes and experiment in the kitchen whenever I get the chance to explore different cuisines from around the world.\n[00:35 - 00:40] Speaker A: Oh, that's awesome! Do you have any favorite books or genres you particularly enjoy?\n[00:41 - 00:45] Speaker B: I enjoy mystery novels the most. I was saying I also like to bake and cook.\n[00:45 - 00:49] Speaker A: That sounds great! We should definitely hang out more often."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1079940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I feel like I need a change.\n[00:02 - 00:03] Speaker B: Okay, what are you thinking?\n[00:04 - 00:06] Speaker A: I want to shave my\n[00:05 - 00:11] Speaker B: Whoa, really? Are you sure you want to go that drastic? I mean, that's a big change.\n[00:16 - 00:20] Speaker A: Yeah, I'm sure. I just feel like I need to do something different.\n[00:21 - 00:25] Speaker B: But your hair is so beautiful! Have you thought about maybe just cutting it shorter instead?\n[00:26 - 00:31] Speaker A: Thank you, but I still want to do it. I think it'll help me feel more like myself.\n[00:31 - 00:37] Speaker B: Okay, well if that's what you really want then I support you. Let me know if you need help with anything."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--76363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Hey, I just saw a post on Facebook from my old boss. They're downsizing and my position has been eliminated. I'm out of a\n[00:07 - 00:10] Speaker B: Oh no, Camrynn! What are you going to do now?\n[00:15 - 00:22] Speaker A: I don't know. I'll have to look for another job, I guess. But it's not going to be easy with the current state of the economy.\n[00:22 - 00:33] Speaker B: Do you want to move back in with your parents? You could save some money that  would otherwise go towards rent, and it might give you some breathing room while you figure out your next career move and get back on your feet financially.\n[00:33 - 00:44] Speaker A: No, Kaitlyn, I don't want to do that. I'm a grown man and I can take care of myself. Plus, they live in a different state and it would be too much of a hassle to move all my stuff there.\n[00:45 - 00:50] Speaker B: Well, you could always stay with me. I have a spare bedroom and we could help each other out financially.\n[00:51 - 00:59] Speaker A: Thanks, Kaitlyn. I appreciate your offer, but I think I'll be okay. I'll start looking for another job and hopefully everything will work out."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1188579.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Thanks so much for your help, detective. I really appreciate it.\n[00:04 - 00:07] Speaker B: You're welcome. I'm just glad I could be of assistance.\n[00:07 - 00:13] Speaker A: I still can't believe that my husband was capable of something like this. It's just so hard to\n[00:13 - 00:18] Speaker B: I understand how shocking this must be. Have you thought about seeking support from a counselor or a support group?\n[00:23 - 00:36] Speaker A: I haven't considered that yet. I know it's difficult, but sometimes the people we love are capable of doing terrible things. Try to take comfort in the fact that you now know the truth and can move on with your life.\n[00:36 - 00:40] Speaker B: I suppose you're right. It's just going to take some time to get used to.\n[00:40 - 00:48] Speaker A: That's understandable. If you need anything, don't hesitate to reach out to me. I'm here to help in any way I can.\n[00:48 - 00:52] Speaker B: Oh, before I forget, do you have any recommendations for good counselors in the area?\n[00:53 - 00:58] Speaker A: Yes, I can provide you with some contacts. Don't hesitate to give me a call.\n[00:58 - 00:59] Speaker B: I will, thank you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--115967.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey there, old friend. How are you doing today?\n[00:03 - 00:06] Speaker B: I'm doing well, thank you for asking. And yourself, sir?\n[00:07 - 00:11] Speaker A: I'm good, just getting a little bit of work done. You know how it is.\n[00:11 - 00:14] Speaker B: Yes, indeed I do. It's always good to stay busy.\n[00:15 - 00:20] Speaker A: Absolutely! So, what have you been up to lately? Anything exciting?\n[00:20 - 00:28] Speaker B: Oh, nothing too exciting. Just the usual day-to-day stuff. But I did get a chance to help out with a few things around the house the other day which was\n[00:27 - 00:32] Speaker A: Sorry to cut in, but did you manage to fix that leaky faucet you mentioned last time?\n[00:38 - 00:44] Speaker B: Oh, yes, I did! It took a bit longer than expected, but it's all sorted now. Anyway, you were asking if there was anything new with me?\n[00:45 - 00:48] Speaker A: Well, actually, I've been meaning to talk to you about something.\n[00:49 - 00:50] Speaker B: Oh? What is it?\n[00:50 - 00:56] Speaker A: I was thinking about retiring soon and I was wondering if you would be interested in taking over my business.\n[00:56 - 00:58] Speaker B: Me, sir? Are you sure?\n[00:59 - 01:10] Speaker A: Absolutely! I wouldn't trust anyone more than you. You've been a loyal and hardworking servant ever since I met you, and I know that you have the potential to be a great master in your own right.\n[01:10 - 01:16] Speaker B: Well, I don't know what to say...Thank you, sir! This is a great honor. I will do my best to make you proud."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--28766.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Dad, I was reading this story about a man who was attacked by robbers and left for\n[00:05 - 00:07] Speaker B: That's terrible! Where did this happen?\n[00:12 - 00:19] Speaker A: It was in a parable, actually. A Samaritan came along and helped him, even though they were enemies.\n[00:19 - 00:27] Speaker B: That's really amazing. I'm glad there are still people in the world who are willing to help others, even if they're not related to them or don't know them personally.\n[00:27 - 00:33] Speaker A: Yeah, me too. But it's just sad that there are people out there who would do something like that in the first place.\n[00:34 - 00:40] Speaker B: Yeah, it is. But I guess you can't really understand what would drive someone to do something like that unless you've been in their shoes.\n[00:40 - 00:41] Speaker A: I guess not.\n[00:42 - 00:49] Speaker B: Well, I'm glad you're reading stories like this. It's important to learn about different cultures and how people live in different parts of the world.\n[00:49 - 00:51] Speaker A: Yeah, I think so too."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--295395.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hi, I'm calling about the job opening. I saw the posting online and I'm very interested in\n[00:06 - 00:12] Speaker B: Sorry to jump in, but could you clarify which position you're referring to? We have several openings right now.\n[00:17 - 00:21] Speaker A: Oh, sure! I'm interested in the Marketing Manager position.\n[00:21 - 00:26] Speaker B: Great! We're looking for someone with your skills and experience. Tell me a little bit about yourself.\n[00:27 - 00:47] Speaker A: Well, I have a degree in marketing and I've been working in the field for about 5 years now. I've had a lot of success with the campaigns I've worked on and I think my skills would be a great fit for  contributing to your company's growth and driving successful marketing strategies that align with your brand vision while adapting to emerging digital marketing trends.\n[00:48 - 00:54] Speaker B: That sounds impressive! Just to make sure, have you had experience managing a team, as this role will require leadership skills?\n[00:55 - 01:01] Speaker A: Yes, I've led a small team of 5 in my current role, and we've consistently met our targets.\n[01:01 - 01:07] Speaker B: Wow, it sounds like you would be perfect for this position! Are you available to come in for an interview tomorrow?\n[01:07 - 01:10] Speaker A: Absolutely! I'll be there at 10am.\n[01:10 - 01:12] Speaker B: Great, we'll see you then!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--366333.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Eshan. I need to talk to you about something.\n[00:03 - 00:03] Speaker B: What is it?\n[00:04 - 00:12] Speaker A: You've been acting really disrespectfully lately and I've had enough. I'm going to break your nose if you don't\n[00:11 - 00:15] Speaker B: You can't just go around breaking people's noses! What the hell is wrong with you?\n[00:20 - 00:28] Speaker A: I can and I will if you don't start respecting me. Now, are you going to apologize and change your behavior, or are we going to have a bigger problem?\n[00:29 - 00:31] Speaker B: Fuck you, man. I don't have to listen to this shit.\n[00:32 - 00:34] Speaker A: That's it. You're getting your nose broken."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--381879.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Hey, I'm just making myself a cup of tea. You want some as well? I was thinking of having a green tea with some honey and lemon to help me relax after\n[00:09 - 00:12] Speaker B: Oh, actually, if you have any herbal tea, I'd love that instead.\n[00:17 - 00:20] Speaker A: Sure, I've got some chamomile. How's your day going?\n[00:21 - 00:24] Speaker B: It's been alright. A little busy, but nothing too crazy. How about you?\n[00:25 - 00:35] Speaker A: Same here. I've just been trying to stay on top of everything lately. It feels like there's always something that needs to be done, and I'm constantly trying to prioritize.\n[00:36 - 00:40] Speaker B: Oh, I completely get that! Do you have any specific tasks that are really piling up?\n[00:41 - 00:51] Speaker A: Yeah, a few deadlines are coming up, and I've been juggling multiple projects. But it's important to take some time for yourself every once in awhile, otherwise you'll just burn out.\n[00:52 - 00:57] Speaker B: Yeah, I definitely need to start doing that more often. Thanks for the reminder!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--197606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Doctor, I just don't feel well at all. I'm tired all the time, my throat hurts, and I have this horrible headache.\n[00:07 - 00:11] Speaker B: Well, Zowie, let's take a look. First of all, how long have you been feeling this way?\n[00:12 - 00:18] Speaker A: I don't know, a week or two maybe? It started out slowly but then just got really bad all of a sudden.\n[00:18 - 00:24] Speaker B: Okay, well let's start with some basic questions then. Have you been having any\n[00:23 - 00:30] Speaker A: Sorry, I just remembered something—my appetite has been really off too. I don't feel like eating much these days.\n[00:35 - 00:41] Speaker B: That's important to note. We'll definitely keep that in mind. But back to my earlier question, have you been having any fever?\n[00:42 - 00:44] Speaker A: No, no fever that I can recall.\n[00:45 - 00:46] Speaker B: Have you been having any chills?\n[00:47 - 00:51] Speaker A: Yeah, off and on I've had some chills, but nothing too bad.\n[00:51 - 00:53] Speaker B: Have you been feeling more tired than usual?\n[00:54 - 01:03] Speaker A: Yeah, like I said, I'm just really tired all the time. It's hard to get up in the morning and even when I do, I just feel exhausted by the end of the day.\n[01:04 - 01:08] Speaker B: Are you having any trouble breathing? Shortness of breath or anything like chest tightness or wheezing?\n[01:09 - 01:14] Speaker A: Actually, now that you mention it, my chest has been aching a bit lately. Could that be related?\n[01:15 - 01:20] Speaker B: It could be. We'll need to investigate that further. I was also going to ask if you've been coughing at all?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--868975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: I just saw that the stock market crashed and my 401k lost a lot of value. I feel sick to my stomach and sad that I have lost so much money.\n[00:09 - 00:22] Speaker B: I'm sorry to hear that, Aleksandra. The stock market can be very volatile, but it's important to remember that it doesn't always go down. Over the long term, the stock market has always gone up, so your portfolio should recover in\n[00:21 - 00:28] Speaker A: But how long will it take for my portfolio to recover? And what if it doesn't? I can't afford to lose any more money.\n[00:33 - 00:56] Speaker B: Well, it's impossible to predict the future of the stock market, but typically portfolios will rebound within a few years. As for what you can do in the meantime, you could consider investing in some bonds or other more stable investments. This way you won't be as affected by short-term fluctuations in the  stock market and can have a more balanced portfolio that provides both growth potential and stability during turbulent economic periods.\n[00:57 - 01:09] Speaker A: Speaking of bonds, do you think they are a good option right now given the current interest rates? And also, you mentioned something about the stock market recovering over the long term. Can you elaborate on that?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--875462.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hi, boss. I'm sorry, but my train was delayed and I'm going to be at least 15 minutes late.\n[00:06 - 00:11] Speaker B: That's not good enough, Ziyad. You're already late and this is the third time this\n[00:10 - 00:18] Speaker A: I know, and I'm really sorry. It won't happen again. I promise to make up the time by working through my lunch break.\n[00:23 - 00:29] Speaker B: That's not acceptable either. You need to be here on time or you'll have to face more serious consequences, like a formal warning.\n[00:30 - 00:35] Speaker A: Boss, please don't say that. I'm really sorry about this and it won't happen again.\n[00:36 - 00:43] Speaker B: Sorry isn't good enough, Ziyad. You're already on thin ice and if you're late one more time, you're out of here. Do you understand?\n[00:43 - 00:45] Speaker A: Yes, boss. I understand."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1108323.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: \"Hey, there you are. I thought you were going to sleep forever.\"\n[00:04 - 00:05] Speaker B: \"What time is it?\"\n[00:05 - 00:10] Speaker A: \"It's early still, only a few hours after sunrise. You must have been really tired.\"\n[00:11 - 00:15] Speaker B: \"I guess I was. I don't remember the last time I slept that\n[00:13 - 00:22] Speaker A: \"Actually, speaking of sleep, do you think it might be a good idea to take it easy today? You know, just to make sure you're fully rested?\"\n[00:27 - 00:31] Speaker B: \"Yeah, that might be a good idea. I have been through a lot lately.\"\n[00:31 - 00:37] Speaker A: \"Exactly. You've been pushing yourself hard. But now that you're feeling better, we can take it slow.\"\n[00:37 - 00:40] Speaker B: \"Thanks for understanding. So, what do you want to do today?\"\n[00:40 - 00:47] Speaker A: \"I was thinking maybe we could go for a walk, get some fresh air. Or if you prefer, we could just relax here.\"\n[00:47 - 00:49] Speaker B: \"A walk sounds nice. Let's do that.\""}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1087984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: I always pay cash for everything because I don't want my spending to be tracked. It's just easier that way, you know? Plus, I don't really like using credit cards or anything else that could be used to track my\n[00:12 - 00:18] Speaker B: Sorry to jump in, but doesn't it get risky carrying around so much cash all the time? I mean, what if you lose it or something?\n[00:24 - 00:41] Speaker A: Yeah, it can be a pain sometimes. But it's worth it to me, you know? I'd rather have the peace of mind knowing that my spending is not being tracked. Plus, I was going to say that it's not just about the tracking, it's also about avoiding the temptation of overspending with credit cards.\n[00:41 - 00:45] Speaker B: Fair enough. I guess we all have our own reasons for the things we do."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--282928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Why are you lying to me about where you've been? I can tell from the way you're avoiding my gaze and the way your voice is shaking that you're not telling me the truth. Where were you\n[00:10 - 00:14] Speaker B: Tayla, I was just out for a walk. I needed some time to think.\n[00:19 - 00:33] Speaker A: You were out for a walk? That's it? I don't believe you. There's something you're not telling me. What is  really going on that's making you act so strangely and avoid telling me the complete truth about your whereabouts?\n[00:33 - 00:39] Speaker B: What is it that you think I'm hiding? Tayla, I swear, I was just out for a walk. That's all. Please believe me.\n[00:40 - 00:52] Speaker A: Ivie, if you're lying to me about this, then what else are you lying to me about? I thought we could trust each other with everything. But now I'm not so sure. I don't want to doubt you, but this doesn't add up.\n[00:53 - 01:02] Speaker B: Tayla, of course we can trust each other! I would never lie to you about anything else, I promise. Please, just believe me about this one thing. I would never want to hurt you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--41171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: John, can you believe it? I've composed a symphony that's been received so well! It feels like my name is becoming known all over the\n[00:08 - 00:14] Speaker B: That's incredible, Mica! But I have to ask, how are you managing all the sudden attention? It must be overwhelming.\n[00:19 - 00:37] Speaker A: It is a bit overwhelming, but I'm just grateful that people are enjoying my music. Composing has always been my passion, so it's great to be able to share that with others on such a large scale. I'm actually getting a lot of invitations lately to perform in different cities, and it's been hard to decide which ones to accept.\n[00:38 - 00:43] Speaker B: Invitations? That's amazing! Are you considering any of them seriously, or are you still weighing your options?\n[00:44 - 00:57] Speaker A: I'm definitely considering them. I'm thinking about doing more of that in the future. But whatever happens, I just want to keep making music that makes people happy and brings them joy. That's all that really matters to me in the end."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1117467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: That was an intense game! I'm so glad our team won.\n[00:04 - 00:09] Speaker B: Yeah, it was a close one. They were down by a lot in the first half, but they came back strong in the\n[00:08 - 00:15] Speaker A: Speaking of the comeback, did you notice how the coach changed the strategy halfway through? That was a game-changer!\n[00:20 - 00:31] Speaker B: Absolutely, the coach's decision to switch to a more aggressive defense really turned things around. I was getting really anxious watching them fall behind, but they turned it around and ended up winning by 10 points.\n[00:32 - 00:34] Speaker A: It was definitely a thrilling game to watch.\n[00:35 - 00:42] Speaker B: I don't know about you, but I feel a lot more relaxed now that our team has secured the win and maintained their position in the standings.\n[00:42 - 00:50] Speaker A: Oh, definitely! Especially after that nerve-wracking first half. It's always stressful watching them play, but it's worth it when they win."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--596356.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Mom, I'm so excited! I can't believe I won the award for outstanding performance in\n[00:05 - 00:10] Speaker B: That's amazing, Dua! But wait, did you say there was a cash award? How much did you win?\n[00:15 - 00:26] Speaker A: Oh, I haven't mentioned the amount yet. It's $200. I was thinking maybe I could buy a new bike or put it towards a new computer. But I wanted to talk to you about it first.\n[00:26 - 00:36] Speaker B: $200 is a nice sum! A new computer could be really useful for your studies. But before we decide, have you thought about any other options, like saving some of it for the future?\n[00:37 - 00:46] Speaker A: That's a good point, Mom. I was so focused on the bike and computer that I didn't consider saving. Maybe we could figure out a way to balance all three?\n[00:46 - 00:50] Speaker B: Absolutely, let's sit down and figure out what would be the best way to spend the money."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--290375.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, what's up? You seem like you've got something on your mind.\n[00:04 - 00:10] Speaker B: Yeah, I do. I was just thinking about how our lives have changed so much in the last few years. It's been hard to keep\n[00:10 - 00:23] Speaker A: Up with everything? I totally get that. It feels like everything is moving so fast and we're just trying to keep up. But it's good to have somebody to rely on, isn't it? Somebody who understands what you're going through?\n[00:28 - 00:32] Speaker B: Yeah, definitely. I'm glad we can rely on each other.\n[00:32 - 00:36] Speaker A: So what's been on your mind lately? Anything in particular?\n[00:36 - 00:44] Speaker B: Just life in general, I guess. Trying to figure out where I fit in and what I'm supposed to be aiming for, especially with all the changes happening around us.\n[00:45 - 00:53] Speaker A: Be doing with all this pressure? I know how that feels. But I think we're doing alright, don't you? We're managing to keep our heads above water, at least.\n[00:54 - 00:56] Speaker B: Yeah, I guess so. That's something, at least."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--932576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Mom, I don't want to go back in. That was really embarrassing.\n[00:04 - 00:06] Speaker B: What happened? Why did they throw you\n[00:05 - 00:13] Speaker A: I was yelling at the screen. The movie was so bad, I couldn't help it. It's just not worth my time or money to watch something that terrible.\n[00:18 - 00:30] Speaker B: Well, maybe we can find something else for you to do instead then. Let's go look around and  see if there's another activity that might cheer you up, like visiting that new arcade they just opened in the mall or maybe getting some ice cream.\n[00:30 - 00:34] Speaker A: No, I don't want to see anything else. I just want to go home.\n[00:35 - 00:43] Speaker B: Leighla, please try to understand. Movies are a form of entertainment and sometimes they're not going to be perfect. But that doesn't mean you should give up on them entirely.\n[00:44 - 00:49] Speaker A: I know, but this one was just so bad. I can't sit through something like that again.\n[00:50 - 00:58] Speaker B: All right, well how about we wait a little while and then we'll go home? Maybe by then you'll be in a better mood and willing to give another movie a try.\n[00:58 - 01:01] Speaker A: Fine. But I'm not going to like it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--132857.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I'm just trying to help people, you know? I see so many people my age struggling, and I feel like I have something to\n[00:06 - 00:13] Speaker B: Sorry, but I couldn't help but wonder—when you say \"struggling,\" are you talking about financial struggles, mental health, or something else?\n[00:19 - 00:25] Speaker A: It's a mix of both, really. People are dealing with so much, and I feel like I can make a difference.\n[00:25 - 00:29] Speaker B: That's really admirable, Trista. But don't you think you could be doing more with your life?\n[00:30 - 00:31] Speaker A: What do you mean?\n[00:31 - 00:43] Speaker B: Well, you're a smart guy. You could be making a lot more money if you went into a different  field, like tech or finance, where your skills could really shine and you'd have the financial freedom to support even larger charitable initiatives.\n[00:44 - 00:49] Speaker A: Jerry, I get where you're coming from, but to me, money isn't everything.\n[00:49 - 00:57] Speaker B: I know that. But it is important. And you could be helping more people if you had more resources at your disposal. Just think about it, okay?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1171436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Lillian. How are you doing today?\n[00:03 - 00:05] Speaker B: I'm doing well, Alexes. How are you?\n[00:05 - 00:09] Speaker A: I'm good. Hey, can I talk to you for a second?\n[00:09 - 00:10] Speaker B: Sure. What's up?\n[00:11 - 00:26] Speaker A: I just wanted to say that I think you're a really special person and I appreciate you for who you are. You're not like other people who are always after materialistic things and trying to take advantage of others. You're different and I wanted to let you\n[00:26 - 00:35] Speaker B: Sorry to jump in, but I just have to say, it's really rare to hear someone express that kind of appreciation these days. Do you feel like the world is becoming more superficial?\n[00:40 - 00:53] Speaker A: Absolutely, that's exactly what I was getting at. There's too much greed in the world these days and it's refreshing to see someone like you who is content with what they have and doesn't need anything else to make them happy.\n[00:54 - 01:01] Speaker B: Thank you, Alexes. That means a lot to me coming from you. It's nice to know that there are still people out there who care about more than just themselves."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--412543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, I wanted to send you a gift, but I didn't want it to get lost in the mail. Can I get your address?\n[00:06 - 00:09] Speaker B: Sure, no problem. Let me just grab a\n[00:08 - 00:16] Speaker A: Actually, before you do that, I was wondering—do you prefer getting gifts through mail, or would you rather meet up in person sometime?\n[00:20 - 00:28] Speaker B: Meeting up would be great, but I think mailing it might be easier with our schedules. I was going to say, let me just grab a piece of paper to write it down.\n[00:29 - 00:32] Speaker A: Got it, thanks. So how have you been lately?\n[00:33 - 00:39] Speaker B: I've been good. Just been busy with work and trying to balance everything while still making time for personal projects and social commitments.\n[00:40 - 00:45] Speaker A: Oh, speaking of work, did you ever finish that big project you were telling me about last time?\n[00:46 - 01:00] Speaker B: Yeah, I did! It was a lot of work, but it turned out really well. I was just about to say I've been busy with work and  various other commitments, but that project was definitely the highlight since it allowed me to showcase my skills and creativity in ways I hadn't before.\n[01:00 - 01:03] Speaker A: Oh, you know, just the usual. Work and stuff."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--100933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey Klara! I'm so happy to see you. How's school been?\n[00:04 - 00:09] Speaker B: It's been good. I really like my English class this semester. And Mrs. Nguyen is my favorite\n[00:09 - 00:14] Speaker A: Oh, Mrs. Nguyen! I've heard she's amazing. Does she do anything special in her classes?\n[00:19 - 00:28] Speaker B: Yeah, she has this way of making literature really engaging. But, to be honest, I don't really care for math too much because it's always been a bit challenging for me.\n[00:28 - 00:35] Speaker A: Math, yeah, that's a tough one for a lot of people. Have you thought about getting some extra help, like tutoring?\n[00:35 - 00:45] Speaker B: I have, but it's not too bad. I think I can manage it. Overall, though, I've made some great friends and I'm learning a lot of new things. So, all in all, I'd say it's pretty good."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--901379.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, coach. How are you today?\n[00:02 - 00:04] Speaker B: I'm doing well, Tawny. How are you?\n[00:04 - 00:12] Speaker A: I'm good. I'm just getting ready to go up on the platform and perform. I'm a little nervous, but I know that I can\n[00:12 - 00:18] Speaker B: Tawny, I just wanted to remind you to visualize your success before you go up there. It can really help calm your nerves.\n[00:23 - 00:32] Speaker A: Thanks for the tip, Coach. I know that you have been practicing a lot and you are very talented. Just remember to breathe and focus on your form and technique.\n[00:33 - 00:37] Speaker B: And one more thing, Tawny—are you confident about the new routine we incorporated last week?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--578986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: I can't believe we're finally here! I've been waiting forever to see them live and now that the moment has arrived, I'm practically shaking with\n[00:07 - 00:14] Speaker B: I know, me too! I'm so excited. I wonder what they'll play first. Maybe they'll open with a classic hit to get everyone hyped.\n[00:19 - 00:23] Speaker A: Do you think they'll start with something upbeat or maybe something more mellow?\n[00:23 - 00:32] Speaker B: Oh, I hope they play all of my favorites. I would die if they didn't play 'Desert Rose'. That's my favorite song of theirs. It always gives me chills every time I hear it.\n[00:32 - 00:39] Speaker A: 'Desert Rose' is amazing! But what if they surprise us with a new track? That would be incredible, right?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey Desi! I'm so glad you're still here.\n[00:03 - 00:08] Speaker B: Hey Dymond! Yeah, I'm just hanging out with some friends. What about you?\n[00:08 - 00:13] Speaker A: Oh, you know, just enjoying the party. It's been a lot of fun\n[00:12 - 00:17] Speaker B: Yeah, I've had a great time too. So, what have you been up to lately? Anything exciting?\n[00:22 - 00:27] Speaker A: Oh, I just remembered, did you get a chance to talk to Alex about the weekend plans?\n[00:27 - 00:30] Speaker B: Not yet, but I will soon. Anyway, you were saying?\n[00:31 - 00:36] Speaker A: Oh, you know, just the usual. Work, hanging out with friends, that kind of thing.\n[00:36 - 00:42] Speaker B: Yeah, I know how that is. So, what's new with you? Any new developments at work or in your personal life?\n[00:43 - 00:46] Speaker A: Actually, I wanted to ask if you heard about the new project at work?\n[00:47 - 00:49] Speaker B: No, I haven't. What is it about?\n[00:49 - 00:56] Speaker A: It's a big initiative to improve our team's workflow. But I was going to say, nothing much. Just enjoying life, you know?\n[00:57 - 01:00] Speaker B: Yeah, I definitely know how that is. Life is pretty good."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--665430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I don't understand what's happening. I used to be so good at\n[00:03 - 00:09] Speaker B: It sounds like you're feeling frustrated with your progress. Have you considered that maybe you're just going through a rough patch?\n[00:14 - 00:31] Speaker A: Yeah, I am. I feel like I'm regressing instead of improving. But how do I know if I'm just not cut out for this anymore? Maybe I should just quit while I still have some  dignity left and before I completely lose faith in myself and my abilities to perform at this level.\n[00:31 - 00:43] Speaker B: Prudence, you've been one of the most talented players I've ever coached. If you give up now, you'll regret it for the rest of your life. You have to trust in your abilities and keep working hard. Things will turn around for you, I promise.\n[00:44 - 00:48] Speaker A: I hope you're right, coach. I really don't want to give up on my dream.\n[00:48 - 00:54] Speaker B: I know you don't. And you shouldn't. Now let's get back to work so you can start achieving your goals again."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--908444.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey there. Mind if I lay down next to you?\n[00:02 - 00:04] Speaker B: No, go ahead.\n[00:04 - 00:08] Speaker A: Thanks. I needed a break from the sun. It's so hot today.\n[00:08 - 00:18] Speaker B: Yeah, it is. I'm trying to get a tan, but I don't want to get too dehydrated, so I'm keeping a bottle of water close by and reapplying sunscreen every hour to avoid any skin damage.\n[00:18 - 00:27] Speaker A: Burnt? Yeah, that's definitely a possibility out here. So what brings you to the beach today? Just wanting to relax?\n[00:27 - 00:34] Speaker B: Yeah, pretty much. I just finished up my summer classes and needed some time to myself before starting my new job next week.\n[00:34 - 00:38] Speaker A: That sounds rough. Are you excited for it? Or\n[00:37 - 00:46] Speaker B: Nervous? A little bit of both, honestly. But mostly excited. It should be a good experience. And the pay is great, so that's a plus.\n[00:51 - 00:54] Speaker A: Definitely. Well, I hope you enjoy the rest of your day here.\n[00:55 - 00:56] Speaker B: Thanks. You too."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--449689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey man, what's up?\n[00:01 - 00:05] Speaker B: Not much, just hanging out. You smell terrible, by the way.\n[00:05 - 00:10] Speaker A: Yeah, I know. I don't really care about being clean. It's just too much\n[00:09 - 00:13] Speaker B: Wait, you don't care at all? Like, even when you're around other people?\n[00:19 - 00:22] Speaker A: It's just too much effort, and honestly, I'm used to it.\n[00:23 - 00:26] Speaker B: Well, I can't stand it. I'm going to go take a shower.\n[00:26 - 00:30] Speaker A: Whatever, man. I'm just going to stay here and relax."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1188772.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, I've been trying to call you for days.\n[00:03 - 00:05] Speaker B: Hey, sorry, I've been really busy. What's up?\n[00:06 - 00:09] Speaker A: I just wanted to talk to you about\n[00:08 - 00:11] Speaker B: Wait, before you continue, is everything okay? You sound a bit off.\n[00:17 - 00:21] Speaker A: It's just that I'm feeling really down lately and I needed someone to talk to.\n[00:22 - 00:25] Speaker B: Of course, Spencer. I'm always here for you. What's going on?\n[00:26 - 00:32] Speaker A: It's just that life feels really overwhelming lately. I don't know how to make it any better or where to even start.\n[00:33 - 00:38] Speaker B: Overwhelming? Do you mean work, personal stuff, or just everything in general?\n[00:38 - 00:43] Speaker A: A bit of everything, honestly. That's what's making it so hard to pinpoint what to do next.\n[00:44 - 00:48] Speaker B: That sounds tough. I'm here for you, though. We'll figure it out together, okay?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--536240.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, can I help you with something?\n[00:02 - 00:04] Speaker B: Yeah, I'm looking for the new iPhone.\n[00:05 - 00:10] Speaker A: We don't have that here, sorry. Is there anything else I can help you\n[00:09 - 00:12] Speaker B: Oh, that's too bad. Do you know when you'll be getting it in stock?\n[00:17 - 00:28] Speaker A: Unfortunately, I don't have that information right now. But we do have some other phones that are similar. We have the Samsung Galaxy S9 and the Google Pixel 2. Would either of those work for you?\n[00:29 - 00:31] Speaker B: Yeah, the Galaxy S9 is fine.\n[00:32 - 00:36] Speaker A: Great! We have them in both black and blue, depending on your preference.\n[00:37 - 00:43] Speaker B: Actually, before I decide, can you tell me if there are any promotions or discounts available on the Galaxy S9?\n[00:43 - 00:59] Speaker A: We don't have any promotions on the Galaxy S9 at the moment, but I can check if there are any upcoming deals. So, as I was saying, we have it in both black and  blue, and both colors come with a one-year manufacturer's warranty and a free screen protector.\n[00:59 - 01:00] Speaker B: Blue, please.\n[01:01 - 01:03] Speaker A: Alright, let me grab that for you."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--682132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Anasofia. I wanted to talk to you about something.\n[00:04 - 00:05] Speaker B: Hey, what's up?\n[00:05 - 00:15] Speaker A: I feel like we've been drifting apart lately and I'm not really sure where things stand between us. I just want to know if you're still interested in me or if you're\n[00:15 - 00:20] Speaker B: Wait, are you saying that because of how busy I've been with work? I didn't realize it was affecting us this much.\n[00:25 - 00:30] Speaker A: Well, it felt like you were ignoring me. And it hurt because I thought we were closer than that.\n[00:31 - 00:43] Speaker B: Jamin, I'm sorry. I really am. Please believe me when I say that I still care about you a lot and our relationship is  something I value deeply and would never want to lose, even if I haven't been showing it properly lately.\n[00:43 - 00:50] Speaker A: I believe you, but I need to feel it too. I need to know we're both making time for each other.\n[00:50 - 00:54] Speaker B: You're right. I'll make more of an effort. Thank you for being honest with me."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--934119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:04] Speaker B: Not much, just hanging out at home. What about you?\n[00:04 - 00:11] Speaker A: I'm doing good. Just finished up some homework and now I'm relaxing. What have you been up to today?\n[00:11 - 00:16] Speaker B: I went to the gym and then ran some errands. I also had lunch with a friend. How was your\n[00:15 - 00:21] Speaker A: Sorry to jump in, but what did you have for lunch? I've been looking for new places to try.\n[00:26 - 00:31] Speaker B: Oh, we went to that new Italian place downtown. The pasta was amazing! Anyway, how was your day?\n[00:31 - 00:44] Speaker A: It was good. I went to my classes and then met up with a study group. After that, I went to the library to do some research for a paper. Then I came home and made dinner. What are you up to tonight?\n[00:44 - 00:47] Speaker B: Just relaxing at home, watching TV and stuff. You?\n[00:48 - 00:52] Speaker A: Same here. But I think I'm going to head to bed soon, it's been a long day.\n[00:53 - 00:56] Speaker B: Alright, well goodnight! Thanks for chatting with me tonight!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674707.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I can't stop thinking about our child. I feel so guilty.\n[00:03 - 00:06] Speaker B: Why are you feeling guilty? You did what you had to\n[00:06 - 00:13] Speaker A: I know, but I can't help it. I keep wondering if our child is safe, and if he or she is hungry or scared.\n[00:18 - 00:33] Speaker B: Justice, you need to try and stop thinking about it. Our child is probably fine. And even if he or she isn't, there's nothing we can  change by worrying now because the situation is completely out of our hands and we need to focus on healing ourselves and moving forward with our lives.\n[00:33 - 00:44] Speaker A: But how can I just move on without knowing? I mean, what if there's something we missed, some way we could still help? What if this guilt is a sign that we should be doing more?"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--894939.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, man. What's up?\n[00:01 - 00:04] Speaker B: Not much. Just hanging out, you know?\n[00:04 - 00:09] Speaker A: Yeah, I know. I'm just glad we can spend some time together. It's been a while.\n[00:10 - 00:13] Speaker B: Yeah, I know. But it's good to see you again. So, what do you want to\n[00:13 - 00:18] Speaker A: Actually, I was wondering, have you heard anything about that new restaurant downtown?\n[00:23 - 00:26] Speaker B: Not really, but I heard it's pretty good. What do you want to do today?\n[00:26 - 00:29] Speaker A: I don't know. What do you want to do?\n[00:29 - 00:34] Speaker B: Well, I was thinking we could go get something to eat or something like checking out that new place downtown.\n[00:35 - 00:41] Speaker A: Oh, speaking of eating, did you remember to bring your wallet? Last time we went out, you forgot it.\n[00:42 - 00:44] Speaker B: Sounds good to me. I'm starving.\n[00:44 - 00:46] Speaker A: All right then, let's go!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--231370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi! How are you today?\n[00:02 - 00:04] Speaker B: I'm doing well, thank you. How about you?\n[00:05 - 00:07] Speaker A: I'm good, thanks. Just doing some shopping.\n[00:08 - 00:10] Speaker B: Let me know if you need any help finding\n[00:10 - 00:14] Speaker A: Actually, yes! I'm looking for some basic household items today.\n[00:19 - 00:23] Speaker B: We have a great selection of household items. You'll be able to find everything you need here.\n[00:24 - 00:29] Speaker A: That's great. I'm just looking for some soap, laundry detergent, and paper towels.\n[00:30 - 00:36] Speaker B: We have a wide selection of soaps, detergents, and paper towels. Let me help you find the specific ones you need.\n[00:36 - 00:44] Speaker A: Oh, and do you have any eco-friendly options? I'm trying to be more environmentally conscious with my purchases.\n[00:44 - 00:48] Speaker B: Yes, we do! Let me show you where they are, along with the other items you mentioned.\n[00:49 - 00:49] Speaker A: Thanks!\n[00:50 - 01:01] Speaker B: So here we have our soaps. We have a variety of brands and scents  ranging from traditional bar soaps to liquid hand washes, all carefully organized by category and price point for your convenience.\n[01:01 - 01:03] Speaker A: Wow, there are a lot of options!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--445827.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Wow, that was a close one! I can't believe we lost the cops.\n[00:04 - 00:07] Speaker B: Yeah, you were really speeding up there. What made you\n[00:07 - 00:11] Speaker A: I just panicked, you know? I didn't want to get caught driving a stolen car.\n[00:16 - 00:21] Speaker B: Well, you did a good job of losing them. But now we're stuck in this neighborhood with no way to get out.\n[00:22 - 00:26] Speaker A: So what do you think we should do now? We can't stay here for long.\n[00:26 - 00:30] Speaker B: I don't know, but we can't just stay here. The police will eventually find us.\n[00:30 - 00:36] Speaker A: Yeah, you're right. We need to figure out a way to get out of here without being seen.\n[00:36 - 00:39] Speaker B: Well, we could try hiding the car and then walking out of here.\n[00:40 - 00:42] Speaker A: That's a good idea. Let's try it."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--822538.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi there! I'm looking for a can of black paint and a brush.\n[00:04 - 00:08] Speaker B: We have just what you're looking for! Right this\n[00:07 - 00:14] Speaker A: Sorry to jump in—do you have different brush sizes available? I might need a smaller one for detailing.\n[00:19 - 00:25] Speaker B: Absolutely, we have a variety of sizes. Let me show you both the brushes and the paint you were asking about earlier.\n[00:25 - 00:26] Speaker A: Thank you.\n[00:26 - 00:27] Speaker B: You're welcome.\n[00:27 - 00:29] Speaker A: This is exactly what I needed.\n[00:30 - 00:31] Speaker B: Great! We're happy to help."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--498603.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Honey, I was just thinking about when I was a kid and how things have changed since then. Do you ever feel like\n[00:06 - 00:15] Speaker B: Sorry, I just remembered something. Do you think our kids are going to feel the same way when they grow up? Like, will they look back and feel like their world has changed just as much?\n[00:19 - 00:31] Speaker A: That's a good point. I think they might, especially with how fast technology is evolving. But what I was going to say earlier is that it's hard to keep up with everything that's going on nowadays, just like you mentioned.\n[00:32 - 00:40] Speaker B: Yeah, it definitely is. I feel like we've lost touch with some of the things that are important in life because we're always trying to keep up with everything else.\n[00:40 - 00:52] Speaker A: I know what you mean. We used to have more time to just relax and enjoy life, but now it feels like we're always running around and there's never enough time to just sit down and connect with each other.\n[00:53 - 01:00] Speaker B: Speaking of time, do you think we should try to schedule some downtime this weekend? Just to unwind and maybe recapture a bit of that feeling?\n[01:01 - 01:08] Speaker A: That's a great idea. We definitely need to take a break and appreciate the little things in life, just like we used to."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--584031.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hey, I'm sorry about what happened with our taxes. I know you're mad, but I promise it won't happen\n[00:06 - 00:13] Speaker B: I'm not just mad, Lathan. I'm disappointed. We've always been a team, and this feels like you betrayed that trust.\n[00:17 - 00:23] Speaker A: I know. And I'm really sorry. It was a stupid mistake and I'll never do anything like that again.\n[00:24 - 00:33] Speaker B: Why did you do it? Was it just because you wanted to save some  money in the short term without considering the long-term consequences, or was there something else going on that I didn't know about?\n[00:34 - 00:45] Speaker A: No, it wasn't just about the money. I was feeling really stressed out about everything and I thought if we could just get a little bit of a break on our taxes, it would help out a lot.\n[00:45 - 00:52] Speaker B: But why didn't you talk to me about it first? We could have come up with another solution together instead of you doing something illegal behind my back.\n[00:53 - 01:01] Speaker A: Again, I'm sorry. I know that was wrong and next time I'll definitely talk to you first before doing anything like that again.\n[01:01 - 01:06] Speaker B: Alright, I forgive you. But you need to promise me that you'll never do anything like that again.\n[01:07 - 01:07] Speaker A: I promise."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--431708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, you're really pretty.\n[00:02 - 00:03] Speaker B: Thanks, so are you.\n[00:03 - 00:05] Speaker A: Yeah? I don't believe you.\n[00:06 - 00:07] Speaker B: What? Why\n[00:07 - 00:11] Speaker A: I just thought of something—do you often get compliments from strangers?\n[00:17 - 00:24] Speaker B: Occasionally, but it's still hard for me to accept them. Because I'm too shy to believe compliments like that. But thank you for saying it.\n[00:24 - 00:27] Speaker A: It's true, though. I think you're really cute.\n[00:27 - 00:31] Speaker B: Cute? Nah, I don't believe that either. But thank you.\n[00:31 - 00:38] Speaker A: Why are you so  hesitant to accept compliments when people clearly mean them and just want to make you feel good about yourself?\n[00:38 - 00:44] Speaker B: I think it's because of my upbringing. I've always been shy. But it's nice to meet you. What's your name?\n[00:44 - 00:47] Speaker A: Claudia. Nice to meet you too, Baruch."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--350446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Hey, Miraya. I'm sorry about what happened with the car last night. I was really angry and I didn't mean to take it out on your\n[00:08 - 00:14] Speaker B: I understand, Stephon. But what exactly made you so angry? Was it something specific about what happened earlier in the week?\n[00:19 - 00:28] Speaker A: Yeah, it did. I was really mad at you for a while after that. But I know it wasn't your fault and I shouldn't have taken it out on your car like that.\n[00:29 - 00:46] Speaker B: Well, since you're being honest and apologetic about it, I don't think there's anything else you need to do other than maybe just be more mindful in the future about how you express your  emotions, especially when you're upset, because lashing out at objects or people never really solves the underlying issue and often makes things worse.\n[00:46 - 00:55] Speaker A: Absolutely, I'll work on that. And I really appreciate you being so understanding about this. Thanks for giving me the chance to talk it out."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--737676.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Sarah, I've been feeling really stuck lately. I'm not sure if I'm happy with my current situation. I'm considering a change of scenery, a new job, or even moving to a new city. What do you\n[00:12 - 00:21] Speaker B: Sorry to jump in, but when you say \"change of scenery,\" do you mean you're leaning more towards moving to a new city, or is it more about finding a new job where you are now?\n[00:27 - 00:39] Speaker A: That's a good question. Honestly, I'm not sure yet. It could be either, or maybe even both. I just feel like something needs to change. I'm not sure what exactly, but something just doesn't feel right.\n[00:39 - 00:57] Speaker B: Maybe it would help to sit down and make a list of pros and cons for each option? That way you can get all of your thoughts out on paper and see things more clearly. Plus, it might help you to talk through your options with someone else too. So if you want to bounce any ideas off me, I'm here for any brainstorming or just to listen if you need to vent.\n[00:57 - 01:07] Speaker A: Actually, that sounds perfect. I think talking it out with you could really help me figure things out. Thank you, Sarah. I really appreciate your support.\n[01:07 - 01:20] Speaker B: Absolutely! I'm always here for you, Veronika. Let me know when you want to  schedule a proper brainstorming session where we can go through all your options in detail and maybe even research some potential cities or job opportunities together."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--762905.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey boss, I've been thinking about the new project and I have some ideas I wanted to\n[00:05 - 00:15] Speaker B: Sorry to jump in, but before we dive into new ideas, do we have a clear understanding of the current project's scope and objectives? I just want to make sure we're aligned before we consider any shifts in approach.\n[00:20 - 00:44] Speaker A: Absolutely, and that's actually part of why I'm suggesting this. If we focus on the customer's needs and wants, it could help us better define the project scope and objectives. Instead of starting with the product itself, I think we should  take a step back and look at the entire customer experience from initial awareness through post-purchase satisfaction to identify key opportunities for improvement.\n[00:44 - 00:53] Speaker B: —focus on the customer's perspective first, right? That makes sense. Do you think we need to gather more customer feedback before we proceed?\n[00:53 - 01:04] Speaker A: Exactly, gathering more customer feedback would be crucial. By understanding what they're looking for, we can create a product that not only meets their needs but exceeds their expectations."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1025535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: I'm sorry about what happened last night. I was really embarrassed and I don't want to see you again because I'm afraid you'll\n[00:07 - 00:11] Speaker B: Wait, why would you think I'd make fun of you? I thought we had a good time together.\n[00:16 - 00:22] Speaker A: I don't know, it's just that you seemed like you were laughing at me when I got drunk and started making a fool of myself.\n[00:23 - 00:38] Speaker B: I wasn't laughing at you, I was just surprised by how quickly you got drunk. And I wasn't making fun of you, I was just teasing you in a friendly way. I would never actually make fun of you behind your  back or judge you for something like that because I genuinely value our friendship and want to maintain our trust.\n[00:39 - 00:43] Speaker A: Oh, I see. I guess I was just overreacting. I'm sorry.\n[00:43 - 00:48] Speaker B: It's okay, I understand. So are we good now? Can we see each other again?\n[00:48 - 00:50] Speaker A: Yeah, I'd like that."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--690063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much, what's up with you?\n[00:03 - 00:11] Speaker A: Just trying to figure out what I'm going to do with my life. I want to make a difference, but I don't know where to\n[00:10 - 00:17] Speaker B: Sorry to jump in, but have you thought about volunteering? It could be a good way to start making a difference while figuring things out.\n[00:22 - 00:51] Speaker A: That's a good idea. I was going to say I don't know where to start, but volunteering could give me some direction. Well, you're already a good person who always tries his best. You just need to keep doing that and eventually you'll find your way. Things might be tough sometimes, but you can't give up. Remember, Annalyn wants to be a better person and help others whenever he  has the chance, even if it's in small ways like listening to someone who needs support or organizing community clean-up events.\n[00:52 - 00:57] Speaker B: I really appreciate you saying that, but do you think volunteering alone is enough to make a real impact?\n[00:58 - 01:11] Speaker A: Volunteering is just a start. It can open doors and help you connect with people who share your goals. Over time, you might find other ways to contribute, and as long as you keep that in mind, you'll be fine.\n[01:11 - 01:15] Speaker B: Yeah, I guess you're right. Thanks for the talk. I feel better now.\n[01:15 - 01:18] Speaker A: Anytime. That's what friends are for."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--214621.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, are you okay?\n[00:02 - 00:04] Speaker B: Not really. I'm having a tough day.\n[00:04 - 00:07] Speaker A: I'm sorry to hear that. What's going on?\n[00:07 - 00:11] Speaker B: Just feeling a bit down, I guess. Everything seems to be going wrong\n[00:11 - 00:18] Speaker A: Sorry to jump in, but when you say \"everything,\" do you mean just today or has this been going on for a while?\n[00:23 - 00:32] Speaker B: It's been going on for a while. First, my mom got sick and then my dog died. And now my job is on the line because of all the stress I've been under. I feel like I can't catch a break.\n[00:33 - 00:48] Speaker A: That definitely sounds like a lot to deal with all at once. It's no wonder you're feeling down. But it sounds like you're handling everything the best you can under the circumstances. You're strong and resilient, and things will get better in time.\n[00:48 - 00:51] Speaker B: Thanks for understanding, Yovany. It really means a lot to me.\n[00:52 - 00:55] Speaker A: Of course. I'm here for you any time you need to talk."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--844892.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I can't believe you would do this to me!\n[00:02 - 00:03] Speaker B: What did I do?\n[00:04 - 00:11] Speaker A: You know what you did! You went behind my back and talked to my ex-boyfriend without even\n[00:10 - 00:16] Speaker B: Alexzandra, I'm sorry. I just thought maybe you could work things out with him. He's been calling and texting you a lot lately.\n[00:22 - 00:26] Speaker A: Help? How is talking to my ex-boyfriend behind my back supposed to help me?\n[00:27 - 00:33] Speaker B: I thought maybe if you two talked, it would give you some closure or at least clear the air. But I can see I was wrong.\n[00:33 - 00:40] Speaker A: That's because he wants to get back together with me! And now, thanks to you, he knows that I'm still interested in him!\n[00:41 - 00:45] Speaker B: I really didn't mean to hurt you, Alexzandra, but I was just trying to help.\n[00:45 - 00:49] Speaker A: Well, you did. And now I don't ever want to talk to you again!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--185821.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hey, Mom. I was thinking that I'd like to help out more around the house. Do you have any ideas about what I could\n[00:06 - 00:13] Speaker B: Oh, that's great, Elly! Before I suggest anything, I just want to say how much I appreciate you offering to help out. It means a lot.\n[00:18 - 00:21] Speaker A: Thanks, Mom! So, do you have any ideas?\n[00:22 - 00:25] Speaker B: Well, let's see. How about taking the dog for a walk?\n[00:25 - 00:28] Speaker A: Yeah, that sounds like fun! Thanks, Mom!\n[00:29 - 00:31] Speaker B: You're welcome, Elly. Have a great time!\n[00:32 - 00:33] Speaker A: So, Mom, how was your day?\n[00:34 - 00:44] Speaker B: It was good. I got a lot  of things crossed off my to-do list including organizing the garage and finally getting around to sorting through those old boxes we've been meaning to go through for months.\n[00:44 - 00:49] Speaker A: Did you manage to get everything on your list done? I know you had a lot planned.\n[00:49 - 00:57] Speaker B: I did! I went to the grocery store, ran some errands, and then came home and made dinner. It was a busy day, but it feels good to have everything done."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--795559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Do you ever feel like things could be better? That we could do more to make a difference in the world?\n[00:06 - 00:11] Speaker B: Of course, I think everyone feels that way at some point. Why do you ask? Is there something specific on your mind?\n[00:11 - 00:18] Speaker A: Sorry, I just thought of something—do you think it's because we're too focused on our own lives that we don't see the bigger picture?\n[00:19 - 00:34] Speaker B: That's definitely part of it. We get caught up in our daily routines and forget how much potential we have as human beings to create change and make the world a better place. But it's not just that other people aren't doing their part, but that we ourselves aren't doing enough. We need to be the change we want to see in the world.\n[00:35 - 00:46] Speaker A: You're right, we do have a lot of power to make positive changes in the world. But it's not always easy to know where to start or what we can realistically\n[00:45 - 01:08] Speaker B: Exactly! And that's why starting small is so important. If each of us does our part, no matter how small, it can add up to make a big difference. Just imagine if everyone started making an effort to recycle or reduce their carbon footprint. It would have a huge impact on the planet. And it's not just about taking action on big global issues either—even something as simple as being kinder to those around us can make a difference.\n[01:12 - 01:20] Speaker A: You're right, Yosef. We need to remember that every person has the ability to create change. Thank you for reminding me of that!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--934782.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey dad.\n[00:01 - 00:02] Speaker B: Hey son, how are you doing?\n[00:03 - 00:09] Speaker A: I'm good. Just studying for my entrance exam and trying to cover all the important topics\n[00:08 - 00:14] Speaker B: That's great! I know you've been working hard, and I'm proud of the dedication you've shown. You're going to do great.\n[00:20 - 00:29] Speaker A: Dad, I really appreciate that, but I'm starting to get a bit anxious about the test. Do you have any advice on how to stay calm?\n[00:29 - 00:37] Speaker B: Absolutely. Just focus on what you know, take deep breaths, and remember that it's just one test. You've prepared well, so trust yourself.\n[00:37 - 00:41] Speaker A: Yeah, I guess you're right. Thanks, dad."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--49462.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I was just thinking about all the dead people I've seen in my life. It's so sad that they're gone and I'll never see them\n[00:06 - 00:16] Speaker B: I know, it's incredibly tough. But you know, we have to remember that they're in a better place now. They're not suffering anymore and they're at peace. That's really what we should try to focus on.\n[00:21 - 00:32] Speaker A: I know you're right, but it's still hard to accept that they're gone forever. I wish I could see them one last time. Just to say goodbye properly and tell them how much they meant to me.\n[00:32 - 00:39] Speaker B: Maybe one day you will. Who knows what the future holds? For now, let's be thankful for the time we had with them and cherish our memories.\n[00:40 - 00:41] Speaker A: You're right. Thanks, Dad.\n[00:42 - 00:43] Speaker B: Anytime, sweetie."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--164800.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much, what's up with you?\n[00:03 - 00:08] Speaker A: I'm not feeling too great. I have a headache and I'm feeling kind of\n[00:07 - 00:13] Speaker B: Sorry to jump in, but have you had any water today? Sometimes dehydration can cause headaches.\n[00:18 - 00:24] Speaker A: You know, I haven't had much water today. That might be part of it, but I'm also feeling kind of sad.\n[00:24 - 00:27] Speaker B: That sounds rough. Do you want to talk about it?\n[00:27 - 00:33] Speaker A: I don't really know what's going on. I just feel off and it's hard to pinpoint exactly why.\n[00:34 - 00:40] Speaker B: Do you think it could be stress? Sometimes stress can sneak up on you and make you feel off without you even realizing it.\n[00:40 - 00:46] Speaker A: Maybe, I've had a lot on my mind lately. I was going to say that I just feel off today.\n[00:46 - 00:54] Speaker B: Well, sometimes when we feel off, it might help to talk about what's going on with someone who will listen without judging. Would you like that?\n[00:54 - 00:58] Speaker A: Yeah, that would be nice. Thanks for being understanding."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--162106.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Thank you so much for this opportunity. I'm really excited to start working here.\n[00:05 - 00:09] Speaker B: We're glad to have you on board. I think you'll be a great addition to our\n[00:08 - 00:17] Speaker A: Sorry to jump in, but I wanted to ask—what are the immediate priorities for the team right now? I want to make sure I can hit the ground running.\n[00:22 - 00:32] Speaker B: That's a great question. We're currently focusing on streamlining our financial reporting process. I was about to say you'll be a great addition to our team, especially with your background in analytics.\n[00:33 - 00:39] Speaker A: I'm really looking forward to contributing to that. Streamlining processes is something I'm passionate about.\n[00:40 - 00:48] Speaker B: Great. I think you'll find that our accounting department is a great place to work. We're always looking for ways to improve and become more innovative in our approach.\n[00:49 - 00:58] Speaker A: Efficient, right? I was actually wondering if there are any specific tools or software you use that I should familiarize myself with before getting started?\n[00:59 - 01:06] Speaker B: Yes, efficiency is key for us. We primarily use SAP and QuickBooks, so getting up to speed on those would be really helpful.\n[01:06 - 01:12] Speaker A: That sounds like a really good environment to be in. I'm excited to help out however I can.\n[01:12 - 01:15] Speaker B: Excellent. I think you'll fit in well here. Welcome aboard!"}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--69581.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, man. How's it going?\n[00:02 - 00:04] Speaker B: Not too bad. How's the new book coming along?\n[00:05 - 00:11] Speaker A: It's coming along alright. I've made some changes to the story and I'm hoping that readers will\n[00:10 - 00:15] Speaker B: What kind of changes did you make? Are they major plot shifts or just minor adjustments?\n[00:20 - 00:37] Speaker A: A bit of both, actually. I wanted to add more depth to the characters, but also tweak the pacing to keep the readers more engaged. The first edition didn't do too well, so I'm hoping that this one will resonate better with the audience and maybe even attract some new readers.\n[00:38 - 00:43] Speaker B: Oh, I see. Do you think the new pacing will make a big difference in how readers connect with the story?\n[00:43 - 00:50] Speaker A: Definitely. I believe it will help keep the readers hooked throughout. I really hope this version will be more successful.\n[00:50 - 00:55] Speaker B: I'm sure it will be. You're a great writer and I know that your fans will love the new book.\n[00:56 - 00:58] Speaker A: Thanks, man. I appreciate your support."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--757426.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I can't believe we're actually doing this! It feels so good to be out here fighting for something we believe\n[00:04 - 00:11] Speaker B: Absolutely! But do you think this will actually lead to any real change? I mean, we've been raising our voices for so long.\n[00:16 - 00:22] Speaker A: I know, it does! I feel like we're really making a difference. People are definitely listening to us.\n[00:23 - 00:38] Speaker B: Yeah, I think so too. It's just so frustrating that it takes something like this to get people to wake up and pay attention to what's going on with our planet. It's like, why can't they see how important this is? Why do we have to keep pushing so hard just to get the basic message across?\n[00:38 - 00:55] Speaker A: You're right, but maybe it's because people are overwhelmed by so many issues at once. They might not know where to start, and that's where we come in—to guide them  through the complexities of these challenges and show them practical steps they can take to contribute to meaningful change in their daily lives.\n[00:55 - 01:01] Speaker B: I know, I feel the same way. But sometimes it takes a big event like this to really get people to sit up and take notice.\n[01:02 - 01:10] Speaker A: Yeah, I guess you're right. It's just so frustrating. I wish there was some other way to get people to care about this issue.\n[01:10 - 01:18] Speaker B: Well, maybe we can use our voices to make a difference. We can keep speaking out and raising awareness. Maybe that will help change things in the long run."}], "audios": ["/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1112132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--752118.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--242753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--903704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1129671.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--942720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--546350.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--201813.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--846507.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--921984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--463700.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--762740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1120331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--867206.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--954404.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--41116.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--951661.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1080787.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--113543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--431708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--162201.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--162106.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1112763.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--734147.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--999278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--872171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1097575.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--154340.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115102.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1023331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--98947.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--943593.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--811940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1149932.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1025535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--977434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1095086.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--775640.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--280675.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--262975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--810624.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--748822.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--813478.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1031152.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1794.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--140026.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--317784.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--316554.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--523646.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1124666.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--315768.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--41123.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--541347.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--208819.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--967872.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--633328.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--952835.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--488132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--559740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--901379.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--729972.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--649458.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--437704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--370577.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--27924.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--584031.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--468879.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--33760.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--903126.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--8820.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1073790.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--419304.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1171436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--20810.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:48 to 00:51."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--933257.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--860535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--938056.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--604161.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--934138.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--617278.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--148115.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--321447.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--748043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--806479.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--797399.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--56287.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--787791.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--424960.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--179580.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--775321.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--972977.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--419679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--596068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--397434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--371354.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--218746.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--977126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--142004.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1007774.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--4955.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--179972.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--419812.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--713730.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--978945.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--334902.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--158293.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--803822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115967.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--575640.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1052554.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1117467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--245101.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--385591.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--7207.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--556475.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--894939.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--165189.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1076439.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--564472.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--447088.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1001071.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--150383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--49720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--387024.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1030451.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--744708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--334612.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--876642.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--475039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--514230.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:26 to 00:29."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--674832.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--297496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--708343.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--356688.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:26 to 00:30."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--908444.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--39376.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--633173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--637306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--4948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--762905.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--795181.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--844892.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--480349.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--630141.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--456887.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1142459.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--638647.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--194829.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--463322.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1097788.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--676747.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--757426.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--595180.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--908191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--601727.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--795559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--13635.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--468603.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--727552.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--860269.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1180329.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--913166.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--970059.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--560596.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--810606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--27446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--940934.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1177869.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--861085.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--189460.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--677647.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--821468.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--207527.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1106201.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--108309.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--911067.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--289733.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--68508.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:29 to 00:33."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--719833.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--876226.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1096861.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--857144.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--30336.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--822773.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--15103.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--296467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--420707.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--187351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--682132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1085362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1050100.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--730476.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--352805.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1180469.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--953260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--616846.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--778927.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--29039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--328835.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1051089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--324306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--271652.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--925277.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--692789.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1041859.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--679971.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--218634.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--766234.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--412246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--181032.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--774546.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--587173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--286623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--109428.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--144310.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1030006.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1108323.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--805432.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--962210.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--78189.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--915430.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--109817.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--930750.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1055385.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1168213.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1087984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--403051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--782660.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--489920.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--990528.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1092370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--206574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--737676.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--660884.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1080342.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--24058.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--202914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--73764.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--471264.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1101616.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--511668.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--927063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--831005.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--562877.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--437038.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--42187.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--226853.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--299895.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:35 to 00:38."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--690063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--748910.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--153526.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--655306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--475793.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--906269.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--322068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--366333.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--606362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--258272.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--41171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--490986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--934119.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--282928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--520823.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--435477.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--406352.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--317167.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--263928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1131940.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--645254.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1182464.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--102351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--535368.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--12295.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--233562.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--104948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--545009.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--923496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--466262.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--81191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--524306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1190867.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--89079.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--341205.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--100933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--420178.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--385442.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--477747.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--265976.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--489519.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--746047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1104244.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--269886.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--243573.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--508884.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1151383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--137471.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--649949.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--233660.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--421624.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--869501.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1166623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--203528.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--627283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--737726.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--776571.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--211161.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--974933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--277060.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--322914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--556060.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--815822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1122880.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--338268.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--460378.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--667784.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:25 to 00:28."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--29858.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1186623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--44625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--615914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--403013.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--374749.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--209436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1047480.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--343780.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:26 to 00:29."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--566903.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--399572.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--828152.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--338555.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--82370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--453454.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--556505.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--836018.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1107341.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--876910.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--994009.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--205413.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--960193.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--473100.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--725089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--22719.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--640525.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--252183.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--439119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--412543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--992151.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--243315.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--193891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--888565.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--650705.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--735517.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--180962.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Yes, There is a silence gap, multiple speakers were silent from 00:21 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1175954.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--559292.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--330048.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--609913.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--413649.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--90368.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--787888.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--156744.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--571406.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1059254.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--846418.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--905170.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--852467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--964867.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--146698.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--188417.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--731416.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--769683.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are silent for more than 3 seconds. \nSimply tell me when the silence starts and ends in MM:SS format. \nJust one simple sentence about the silence timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No, there is no silence gap."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--933043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--752118.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:19 to 00:23."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--242753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--903704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1129671.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--942720.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--762740.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--431708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--162201.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--162106.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1112763.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:26."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--734147.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--999278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--872171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:25."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1097575.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:26."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--154340.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115102.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:26."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1023331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--98947.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:25."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--943593.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:20 to 00:25."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--811940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:28 to 00:34."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1149932.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:15, 00:42 to 00:47."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1025535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--977434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1095086.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--775640.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--280675.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--262975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--810624.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--748822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--220023.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:19 to 00:25."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--532492.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--69581.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--819618.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--98281.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1029082.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--719199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--338832.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--69960.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1188579.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1185164.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--156618.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--648176.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--740576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--159893.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--471036.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:21 to 00:29."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1010433.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--583537.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--634390.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--250677.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--179376.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--501206.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--237231.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:22 to 00:28."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--691830.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--791383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1020068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--813478.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:37 to 00:44."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--449689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--251891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:23."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1031152.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--903574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--277322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:16 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--526216.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1794.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:39 to 00:44."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--476626.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--140026.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:16 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--317784.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--316554.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--523646.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1124666.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--315768.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--41123.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--957212.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:19 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--465565.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--771154.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--760966.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--391765.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1132437.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--231222.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--164800.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1169363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--538365.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--926731.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--571155.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:42 to 00:48."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--368483.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--994948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--118976.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--985415.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--414445.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1079940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1051467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--185821.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--174163.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--268426.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--840566.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--285043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:21 to 00:28."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--686928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--187120.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--541347.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--208819.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1017701.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--16779.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--608672.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--369090.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--824468.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:31 to 00:36."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--31287.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--967872.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--833014.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:24 to 00:32."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--633328.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--952835.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:25."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--883174.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--706051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--514225.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--984123.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--488132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--559740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--901379.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--729972.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:20 to 00:27."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--649458.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:16 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--437704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--370577.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--27924.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--584031.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--468879.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--33760.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--903126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--75062.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--142496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:20 to 00:27."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--8820.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1073790.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--419304.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1171436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--20810.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:23."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--933257.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--583204.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:42 to 00:51."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--869455.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:23."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--860535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--938056.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--604161.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--596349.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--934138.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--617278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--931585.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--148115.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--321447.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--748043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--806479.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--797399.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:33 to 00:38."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--56287.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--787791.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:29 to 00:33."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--424960.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--179580.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--775321.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:16 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--972977.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--419679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--596068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:02 to 00:07."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--397434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--371354.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--809183.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:16 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--218746.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--977126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--142004.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1007774.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--4955.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:29 to 00:36."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--179972.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--419812.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--713730.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--978945.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--334902.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--158293.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:25 to 00:30."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--803822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115967.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--575640.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1052554.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1117467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--245101.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--385591.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--7207.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:20 to 00:27."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--497264.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:21 to 00:27."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--197137.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--12047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1130331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:19 to 00:27."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1076109.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--413405.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:51 to 01:00."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--421778.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1080121.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--778704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--171463.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--219689.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1001007.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:26 to 00:33."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--121129.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:19 to 00:25."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--165189.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--770919.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--150383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--49720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--387024.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1030451.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--744708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--334612.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--876642.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--475039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:07."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--514230.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--674832.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--297496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--708343.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--356688.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--908444.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--39376.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--633173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--637306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--4948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--762905.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--795181.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--844892.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--480349.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--630141.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--456887.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1142459.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:59 to 01:05."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--638647.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--194829.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--11862.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1084179.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--741600.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--531935.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--718092.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--999053.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1140564.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:19 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--590679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--98673.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--96343.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--805520.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:24 to 00:32."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1123691.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:19 to 00:25."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--28408.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1050248.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--720445.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--636981.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:02 to 00:07."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--891432.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--527126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:30 to 00:35."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--302689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1186756.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--928982.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--609826.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--766305.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--836452.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--640494.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--218430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--254497.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--290375.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--980776.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--463322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--536240.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1097788.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--90720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--715956.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:23 to 00:27."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--676747.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--146504.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--58019.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--874990.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--757426.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--743500.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--595180.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--908191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--601727.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--795559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:21 to 00:27."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--13635.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--468603.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:35 to 00:39."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--727552.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--727873.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--571413.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--120698.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:07."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1123711.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--690452.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--389182.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--276032.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:23."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--418520.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--303363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--836740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--214477.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--304811.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:28 to 00:34."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--153751.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--617839.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--526278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--193968.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--126313.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--316553.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1128813.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1092169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--784738.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--302394.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1112132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--585968.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:23 to 00:30."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--487317.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--25283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--860269.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--674667.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1180329.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--126878.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--855653.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--798455.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--835488.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--730163.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:22 to 00:25."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--706924.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--87333.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--311173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--249372.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:21 to 00:26."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--913166.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--970059.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--560596.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:42 to 00:50."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--810606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:23."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--27446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--940934.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1177869.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--861085.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:30 to 00:34."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--189460.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--677647.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--821468.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--781246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--310941.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--207527.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1106201.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:22 to 00:29."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--68508.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--682132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1085362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1050100.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--730476.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--352805.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1180469.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--953260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--616846.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--778927.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--29039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--328835.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:23 to 00:30."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1051089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--324306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:07."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--271652.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--925277.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--692789.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:23."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1041859.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--679971.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--218634.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--766234.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:26 to 00:31."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--412246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--181032.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--774546.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--587173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--286623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--109428.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--144310.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1030006.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1108323.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--805432.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--962210.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--78189.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--43736.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--221358.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:25."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--500115.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--635774.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--385362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--932576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--565509.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--301485.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1074077.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--375003.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--244490.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--605749.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:25 to 00:29."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--845126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1020087.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--915430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--32633.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--76986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--535550.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:31 to 00:35."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--152375.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--109817.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--101351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--930750.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--19531.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--767328.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1055385.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1168213.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1087984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--403051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--782660.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--489920.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--990528.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1092370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--206574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--737676.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--660884.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1080342.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--24058.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--202914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:07."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--73764.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--471264.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1101616.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:22 to 00:26."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--511668.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:07."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--927063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:33 to 00:41."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--831005.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--562877.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--437038.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:01 to 00:07."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--42187.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--226853.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--299895.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--690063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--748910.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--153526.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--655306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--475793.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:21 to 00:25."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--449068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--258280.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--346041.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--894199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:16 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--604536.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--76363.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--246434.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:45 to 00:56."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--934782.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:22 to 00:28."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--868975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--159547.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--217814.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:55 to 01:07."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--578559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--70224.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--603030.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:16 to 00:24."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--228608.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:23 to 00:28."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1004891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--415948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1084325.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--742899.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--169891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--123906.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--372789.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:16 to 00:23."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--65045.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--61606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--538753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--456190.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1007416.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:22 to 00:29."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--875462.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1007617.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--221517.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1070688.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--241883.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1087723.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--631363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--906513.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--860576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--717045.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1182226.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--559369.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--580598.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--961025.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--605295.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--404560.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:20 to 00:26."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--906269.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--322068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--366333.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--606362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--258272.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--41171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--490986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--934119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:09."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--331396.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1107765.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--596356.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1131334.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:38 to 00:41."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--191104.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1088159.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--201044.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--680740.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--327822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--125527.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--578986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--932676.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--105890.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--132857.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--714054.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--4814.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:49 to 00:59."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--168398.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--188315.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--726133.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--186110.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1146016.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--672051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--287169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--588465.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:37 to 00:40."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--366989.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1011922.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--662948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--946489.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1188975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--282928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--520823.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1083511.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--435477.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--406352.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1066203.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:27 to 00:32."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--28766.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--317167.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--185307.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1028263.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--708040.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:17, 00:51 to 00:54."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--263928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1131940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--848051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:30 to 00:34."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--645254.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1182464.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--102351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--535368.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--12295.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--233562.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--104948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--545009.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--923496.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--81191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--524306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1190867.wav"]}
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+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--100933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:25."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--420178.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--481276.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--888611.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--14913.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--273875.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--385442.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--477747.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--265976.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--489519.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:25."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--746047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1104244.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--269886.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--243573.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:30 to 00:37."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--508884.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1151383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:53 to 01:00."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--137471.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--649949.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--233660.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--421624.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:22 to 00:29."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--869501.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1166623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--203528.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--627283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--737726.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--776571.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--211161.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:25 to 00:33."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--974933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:07."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--277060.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--322914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--556060.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--815822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1122880.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--338268.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--460378.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--667784.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--29858.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1186623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--44625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--615914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--403013.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--374749.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:37 to 00:45."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--209436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1047480.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--343780.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--566903.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:07."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--399572.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--828152.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:08 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--338555.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--82370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--453454.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:18 to 00:25."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--556505.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--836018.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:16 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--472748.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:04 to 00:08."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1022590.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:10."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--57082.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1107341.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--876910.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--994009.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--205413.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--960193.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1113559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--82144.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:19 to 00:23."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--473100.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--725089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--22719.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:20."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--640525.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--252183.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:19."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--439119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:26 to 00:34."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--412543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--992151.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--243315.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:15 to 00:22."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--193891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--888565.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--650705.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:13."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--735517.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--180962.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:07."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1175954.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--559292.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:13 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--330048.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:11 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--609913.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:14 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--413649.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:18."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--90368.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "No significant overlaps found."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--787888.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:09 to 00:14."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--156744.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:16."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--571406.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:05 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1059254.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:20 to 00:28."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--846418.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:25 to 00:32."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--905170.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:07 to 00:12."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--852467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:17 to 00:23."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--964867.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:03 to 00:07."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--146698.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:21."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--188417.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:12 to 00:17."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--731416.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:06 to 00:11."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--769683.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and identify segments where multiple speakers are talking simultaneously for more than 3 seconds. \nSimply tell me when the overlap starts and ends in MM:SS format. \nJust one simple sentence about the overlap timing. Keep the word count within 40 words."}, {"role": "assistant", "content": "Multiple speakers talk simultaneously from 00:10 to 00:15."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--933043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--752118.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:08, 00:12-00:27, 00:24-00:32, 00:35-00:40, 00:43-00:48, 00:49-00:51\nSpeaker B: 00:02-00:04, 00:09-00:12, 00:19-00:23, 00:33-00:34, 00:41-00:42, 00:48-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--242753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:08-00:15, 00:25-00:33\nSpeaker B: 00:06-00:15, 00:15-00:24, 00:33-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--903704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:16, 00:17-00:24, 00:28-00:31, 00:35-00:40\nSpeaker B: 00:02-00:04, 00:09-00:16, 00:25-00:28, 00:31-00:34, 00:40-00:43"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1129671.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:21, 00:23-00:36\nSpeaker B: 00:14-00:22, 00:37-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--942720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:07-00:11, 00:14-00:15, 00:27-00:33, 00:42-00:53\nSpeaker B: 00:02-00:06, 00:12-00:13, 00:15-00:26, 00:34-00:42, 00:54-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--546350.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:11, 00:20-00:26, 00:34-00:38, 00:49-00:55, 01:02-01:04\nSpeaker B: 00:04-00:09, 00:11-00:20, 00:26-00:34, 00:38-01:00, 00:56-01:02"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--201813.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:12-00:31, 00:40-00:49\nSpeaker B: 00:05-00:12, 00:32-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--846507.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:10-00:15, 00:25-00:30, 00:35-00:41\nSpeaker B: 00:03-00:17, 00:16-00:25, 00:31-00:35, 00:42-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--921984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:18, 00:15-00:22, 00:27-00:33, 00:36-00:44, 00:50-00:58\nSpeaker B: 00:01-00:04, 00:08-00:15, 00:22-00:27, 00:33-00:36, 00:44-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--463700.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:13-00:18, 00:28-00:32\nSpeaker B: 00:04-00:13, 00:18-00:28"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--762740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:20, 00:20-00:27, 00:37-00:40\nSpeaker B: 00:03-00:04, 00:12-00:19, 00:27-00:37, 00:41-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1120331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:22, 00:19-00:33, 00:42-00:53, 00:57-01:00\nSpeaker B: 00:03-00:08, 00:14-00:19, 00:34-00:41, 00:53-00:57"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--867206.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:05, 00:09-00:24, 00:18-00:33, 00:41-00:49\nSpeaker B: 00:03-00:04, 00:06-00:08, 00:14-00:18, 00:34-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--954404.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:19, 00:24-00:29, 00:41-00:46, 00:50-00:55, 01:05-01:09\nSpeaker B: 00:13-00:23, 00:30-00:41, 00:46-00:50, 00:56-01:04, 01:09-01:13"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--41116.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:02-00:11, 00:09-00:13, 00:23-00:29, 00:34-00:38, 00:40-00:44\nSpeaker B: 00:01-00:02, 00:05-00:09, 00:13-00:21, 00:30-00:34, 00:38-00:39, 00:45-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--951661.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:20, 00:19-00:29, 00:37-00:41, 00:50-00:58, 01:08-01:16\nSpeaker B: 00:09-00:18, 00:30-00:37, 00:41-00:50, 00:58-01:08, 01:16-01:27"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1080787.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:13, 00:22-00:27, 00:29-00:31, 00:34-00:35, 00:36-00:40, 00:42-00:45, 01:00-01:07\nSpeaker B: 00:04-00:16, 00:13-00:22, 00:27-00:29, 00:32-00:34, 00:41-00:42, 00:45-00:58"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--113543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:12-00:19, 00:29-00:40, 00:48-00:57, 01:03-01:04\nSpeaker B: 00:06-00:12, 00:19-00:29, 00:40-00:48, 00:57-01:02"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--431708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:11-00:20, 00:25-00:28\nSpeaker B: 00:06-00:11, 00:21-00:24, 00:29-00:30"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--162201.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:15, 00:13-00:20, 00:23-00:29, 00:36-00:41, 00:48-00:52\nSpeaker B: 00:01-00:02, 00:08-00:13, 00:20-00:22, 00:29-00:36, 00:42-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--162106.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:18, 00:15-00:35, 00:40-00:55, 01:01-01:14\nSpeaker B: 00:01-00:03, 00:08-00:15, 00:36-00:39, 00:55-01:00, 01:15-01:17"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1112763.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:10, 00:13-00:30, 00:27-00:44, 00:51-01:00\nSpeaker B: 00:03-00:05, 00:10-00:13, 00:21-00:26, 00:44-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--486837.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:13, 00:18-00:26, 00:34-00:40\nSpeaker B: 00:04-00:07, 00:13-00:26, 00:26-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--734147.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:16-00:20, 00:29-00:36\nSpeaker B: 00:06-00:16, 00:21-00:28, 00:37-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--999278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:23, 00:21-00:40, 00:51-01:13, 01:20-01:22\nSpeaker B: 00:14-00:20, 00:41-00:51, 01:13-01:19"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--872171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:18-00:25, 00:35-00:41, 00:47-00:51\nSpeaker B: 00:01-00:03, 00:09-00:26, 00:26-00:35, 00:41-00:47, 00:51-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1097575.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:07, 00:08-00:26, 00:26-00:33, 00:55-01:05\nSpeaker B: 00:01-00:03, 00:07-00:08, 00:18-00:26, 00:34-00:55, 01:05-01:13"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--154340.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:18, 00:16-00:23, 00:29-00:36\nSpeaker B: 00:03-00:05, 00:10-00:15, 00:24-00:29, 00:36-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115102.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:11-00:27, 00:26-00:37, 00:44-00:50\nSpeaker B: 00:06-00:11, 00:18-00:26, 00:37-00:44, 00:50-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1023331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:05, 00:07-00:24, 00:24-00:38, 00:44-00:48, 00:58-01:01, 01:09-01:13\nSpeaker B: 00:01-00:02, 00:05-00:07, 00:17-00:24, 00:38-00:44, 00:48-00:58, 01:02-01:08, 01:14-01:20"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--98947.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:17-00:25, 00:29-00:37\nSpeaker B: 00:03-00:26, 00:25-00:29, 00:38-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--943593.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:28, 00:26-00:37, 00:47-00:55\nSpeaker B: 00:04-00:08, 00:20-00:25, 00:37-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--811940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:16-00:24, 00:28-00:34\nSpeaker B: 00:08-00:16, 00:25-00:35, 00:35-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1149932.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:16-00:47, 00:51-01:02\nSpeaker B: 00:04-00:15, 00:42-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1025535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:18, 00:17-00:37\nSpeaker B: 00:10-00:17, 00:37-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--977434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:09-00:17, 00:28-00:35\nSpeaker B: 00:06-00:14, 00:18-00:28, 00:36-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1095086.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:16-00:31\nSpeaker B: 00:09-00:15, 00:32-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--775640.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:07-00:13, 00:17-00:24, 00:35-00:42\nSpeaker B: 00:05-00:06, 00:13-00:27, 00:24-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--280675.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:11-00:24, 00:23-00:36, 00:47-00:57\nSpeaker B: 00:08-00:11, 00:17-00:22, 00:36-00:46, 00:58-01:07"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--40901.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:12-00:17\nSpeaker B: 00:06-00:11, 00:17-00:31"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--262975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:11-00:26, 00:22-00:40, 00:46-00:50\nSpeaker B: 00:07-00:10, 00:17-00:21, 00:40-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--810624.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:14, 00:31-00:41\nSpeaker B: 00:05-00:17, 00:15-00:30, 00:41-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--748822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:18, 00:14-00:26, 00:32-00:38, 00:49-00:55\nSpeaker B: 00:02-00:03, 00:09-00:13, 00:26-00:32, 00:38-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--220023.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:12, 00:19-00:29, 00:40-00:43\nSpeaker B: 00:05-00:07, 00:12-00:25, 00:30-00:39, 00:43-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--532492.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:17, 00:28-00:34, 00:43-00:53, 01:01-01:06\nSpeaker B: 00:05-00:13, 00:17-00:28, 00:35-00:43, 00:53-01:00, 01:07-01:10"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--69581.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:15, 00:11-00:24, 00:31-00:36, 00:41-00:44\nSpeaker B: 00:02-00:04, 00:06-00:11, 00:24-00:31, 00:36-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--819618.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:15, 00:23-00:37, 00:39-00:50\nSpeaker B: 00:03-00:15, 00:15-00:22, 00:37-00:38, 00:51-01:03"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--98281.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:11-00:15, 00:18-00:21, 00:35-00:41, 00:49-00:52\nSpeaker B: 00:04-00:10, 00:16-00:18, 00:22-00:35, 00:42-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1029082.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:06-00:14, 00:23-00:36, 00:41-00:48\nSpeaker B: 00:03-00:05, 00:15-00:22, 00:36-00:41, 00:49-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--719199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:17, 00:24-00:32, 00:37-00:42\nSpeaker B: 00:03-00:15, 00:17-00:23, 00:32-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--338832.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:12-00:15, 00:36-00:39, 00:52-00:53\nSpeaker B: 00:04-00:20, 00:15-00:35, 00:40-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--69960.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:10-00:18, 00:29-00:40, 00:47-00:55\nSpeaker B: 00:08-00:10, 00:18-00:29, 00:41-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1188579.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:20, 00:16-00:28, 00:35-00:40, 00:46-00:48\nSpeaker B: 00:02-00:03, 00:09-00:15, 00:28-00:34, 00:41-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1185164.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:12-00:19, 00:26-00:29, 00:35-00:50, 00:56-01:10\nSpeaker B: 00:07-00:12, 00:19-00:25, 00:30-00:35, 00:50-00:56, 01:10-01:18"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--156618.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:08-00:15, 00:20-00:27, 00:30-00:33, 00:45-00:52\nSpeaker B: 00:02-00:14, 00:15-00:19, 00:28-00:30, 00:33-00:44, 00:53-00:59"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--648176.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:17, 00:16-00:33, 00:41-00:49\nSpeaker B: 00:03-00:05, 00:10-00:16, 00:33-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--740576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:14, 00:14-00:17, 00:20-00:34, 00:39-00:49, 00:51-01:01\nSpeaker B: 00:03-00:04, 00:08-00:13, 00:18-00:20, 00:35-00:39, 00:50-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--159893.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:12-00:28, 00:34-00:44\nSpeaker B: 00:05-00:11, 00:28-00:34, 00:44-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--471036.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:14-00:30, 00:30-00:48, 00:57-01:13\nSpeaker B: 00:07-00:14, 00:21-00:29, 00:49-00:57"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1010433.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:07-00:12, 00:31-00:40, 00:55-01:04\nSpeaker B: 00:04-00:07, 00:12-00:30, 00:40-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--583537.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:05-00:08, 00:16-00:20, 00:30-00:36, 00:47-00:52\nSpeaker B: 00:04-00:04, 00:08-00:15, 00:21-00:30, 00:36-00:46, 00:52-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--677446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:11-00:18, 00:36-00:42\nSpeaker B: 00:05-00:11, 00:18-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--8155.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:06, 00:07-00:21, 00:18-00:24, 00:27-00:34, 00:39-00:49\nSpeaker B: 00:03-00:04, 00:06-00:07, 00:13-00:17, 00:24-00:26, 00:34-00:39, 00:50-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--834165.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:16, 00:14-00:21, 00:26-00:31\nSpeaker B: 00:03-00:05, 00:09-00:13, 00:21-00:25, 00:31-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--634390.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:05, 00:08-00:17, 00:16-00:23, 00:30-00:35, 00:41-00:48, 00:55-01:08, 01:13-01:27\nSpeaker B: 00:01-00:03, 00:06-00:07, 00:12-00:16, 00:24-00:30, 00:35-00:41, 00:48-00:55, 01:08-01:13"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--250677.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:08-00:25, 00:28-00:33, 00:35-00:41, 00:45-00:49\nSpeaker B: 00:05-00:08, 00:23-00:27, 00:33-00:35, 00:42-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--179376.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:17-00:34, 00:42-00:49, 00:55-00:58\nSpeaker B: 00:10-00:16, 00:35-00:41, 00:50-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--152172.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:23, 00:21-00:36, 00:43-00:51\nSpeaker B: 00:02-00:04, 00:15-00:21, 00:36-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--501206.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:08, 00:11-00:28, 00:19-00:28\nSpeaker B: 00:04-00:07, 00:09-00:10, 00:17-00:19, 00:29-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--205208.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:09-00:27, 00:34-00:37\nSpeaker B: 00:04-00:09, 00:27-00:34, 00:38-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--237231.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:11, 00:17-00:22, 00:29-00:42, 00:45-00:50\nSpeaker B: 00:01-00:03, 00:11-00:22, 00:23-00:29, 00:42-00:45, 00:50-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--674707.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:10-00:18, 00:25-00:31\nSpeaker B: 00:05-00:16, 00:18-00:25, 00:31-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--258235.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:14, 00:18-00:30\nSpeaker B: 00:03-00:12, 00:15-00:17, 00:30-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--966021.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:13, 00:21-00:26\nSpeaker B: 00:04-00:15, 00:13-00:21, 00:26-00:30"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--991838.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:12-00:26, 00:32-00:51\nSpeaker B: 00:05-00:11, 00:26-00:32, 00:51-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--951487.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:02-00:06, 00:09-00:14, 00:17-00:29, 00:28-00:36, 00:43-00:52, 00:57-01:10\nSpeaker B: 00:01-00:02, 00:06-00:09, 00:15-00:16, 00:22-00:28, 00:37-00:42, 00:52-00:57, 01:11-01:12"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--691830.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:06-00:09, 00:13-00:15, 00:17-00:21, 00:27-00:33, 00:37-00:43\nSpeaker B: 00:03-00:05, 00:10-00:12, 00:15-00:17, 00:22-00:27, 00:33-00:36, 00:43-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--791383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:10-00:16, 00:22-00:33, 00:39-00:53, 01:02-01:05\nSpeaker B: 00:05-00:17, 00:17-00:21, 00:33-00:38, 00:53-01:02, 01:05-01:06"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1020068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:09-00:15, 00:30-00:36\nSpeaker B: 00:02-00:15, 00:15-00:29, 00:37-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--813478.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:08, 00:19-00:27, 00:34-00:44, 00:44-00:48\nSpeaker B: 00:03-00:04, 00:09-00:19, 00:27-00:34, 00:37-00:44, 00:49-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--449689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:11-00:16, 00:37-00:42, 00:50-00:54\nSpeaker B: 00:06-00:19, 00:17-00:36, 00:43-00:50, 00:55-01:00"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--251891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:09-00:25, 00:24-00:36, 00:43-01:01, 01:10-01:21\nSpeaker B: 00:03-00:09, 00:17-00:23, 00:36-00:42, 01:03-01:10"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1031152.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:12, 00:14-00:16, 00:18-00:22, 00:33-00:39, 00:44-00:52\nSpeaker B: 00:01-00:09, 00:12-00:13, 00:16-00:17, 00:22-00:32, 00:39-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--903574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:12-00:19, 00:37-00:45, 00:51-00:57\nSpeaker B: 00:04-00:18, 00:19-00:36, 00:45-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--277322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:09, 00:12-00:25, 00:22-00:32, 00:36-00:49, 00:55-01:03\nSpeaker B: 00:02-00:05, 00:10-00:11, 00:16-00:22, 00:32-00:35, 00:50-00:54, 01:04-01:06"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--526216.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:05, 00:09-00:18, 00:17-00:20, 00:33-00:37, 00:45-00:49, 00:55-00:56\nSpeaker B: 00:01-00:02, 00:06-00:08, 00:12-00:17, 00:20-00:33, 00:37-00:44, 00:49-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1794.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:08, 00:10-00:13, 00:18-00:23, 00:28-00:47, 00:44-00:51\nSpeaker B: 00:03-00:05, 00:08-00:09, 00:14-00:17, 00:24-00:27, 00:39-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--476626.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:12-00:23, 00:30-00:40, 00:48-00:55\nSpeaker B: 00:06-00:12, 00:23-00:30, 00:41-00:47, 00:55-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--140026.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:25, 00:22-00:27, 00:35-00:49, 00:57-01:06, 01:15-01:22\nSpeaker B: 00:05-00:07, 00:16-00:22, 00:27-00:34, 00:51-00:56, 01:07-01:15, 01:23-01:26"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--317784.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:22, 00:22-00:28, 00:36-00:41, 00:46-00:49, 01:00-01:01\nSpeaker B: 00:01-00:03, 00:15-00:22, 00:28-00:35, 00:42-00:46, 00:49-01:00"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--316554.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:03-00:08, 00:17-00:21, 00:29-00:31\nSpeaker B: 00:02-00:10, 00:08-00:18, 00:21-00:29"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--523646.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:20, 00:18-00:20, 00:24-00:37\nSpeaker B: 00:03-00:04, 00:12-00:17, 00:21-00:24"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1124666.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:09-00:19, 00:26-00:34, 00:42-00:46\nSpeaker B: 00:06-00:17, 00:19-00:26, 00:34-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--315768.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:06, 00:09-00:13, 00:18-00:24, 00:29-00:33\nSpeaker B: 00:02-00:03, 00:06-00:14, 00:14-00:18, 00:25-00:28, 00:34-00:36"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--41123.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:16, 00:21-00:25, 00:27-00:35, 00:41-00:44\nSpeaker B: 00:04-00:16, 00:17-00:20, 00:25-00:26, 00:36-00:40, 00:45-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--957212.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:12-00:24, 00:23-00:28, 00:35-00:41\nSpeaker B: 00:04-00:12, 00:19-00:22, 00:29-00:35, 00:42-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--465565.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:14, 00:11-00:13, 00:23-00:29\nSpeaker B: 00:03-00:05, 00:06-00:10, 00:13-00:21, 00:29-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--771154.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:25, 00:22-00:39, 00:49-00:54\nSpeaker B: 00:06-00:07, 00:17-00:22, 00:40-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--760966.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:10-00:23, 00:21-00:27, 00:37-00:43\nSpeaker B: 00:05-00:09, 00:13-00:20, 00:27-00:37, 00:43-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--391765.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:15, 00:24-00:27, 00:38-00:46, 00:50-00:55\nSpeaker B: 00:03-00:14, 00:15-00:23, 00:27-00:40, 00:46-00:50, 00:55-00:57"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1132437.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:18, 00:14-00:23, 00:28-00:31\nSpeaker B: 00:03-00:06, 00:09-00:13, 00:24-00:28, 00:31-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--231222.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:16-00:27, 00:35-00:36\nSpeaker B: 00:06-00:16, 00:28-00:34, 00:37-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--164800.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:10, 00:13-00:21, 00:31-00:39\nSpeaker B: 00:04-00:12, 00:10-00:12, 00:21-00:31"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1169363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:07, 00:09-00:25, 00:24-00:29, 00:33-00:37\nSpeaker B: 00:03-00:03, 00:07-00:08, 00:17-00:24, 00:30-00:33, 00:37-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--538365.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:10-00:18, 00:23-00:26, 00:30-00:31\nSpeaker B: 00:04-00:10, 00:18-00:23, 00:27-00:30"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--926731.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:17-00:31, 00:36-00:56\nSpeaker B: 00:03-00:24, 00:31-00:36, 00:53-01:08"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--571155.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:12-00:25, 00:34-00:50, 00:49-00:55, 01:00-01:02\nSpeaker B: 00:09-00:11, 00:26-00:34, 00:42-00:48, 00:55-01:00"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--368483.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:12-00:21, 00:31-00:33, 00:47-00:50\nSpeaker B: 00:03-00:19, 00:21-00:31, 00:34-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--994948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:05, 00:07-00:19, 00:19-00:22, 00:29-00:32\nSpeaker B: 00:01-00:03, 00:06-00:07, 00:10-00:19, 00:23-00:28, 00:33-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--118976.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:12, 00:19-00:32\nSpeaker B: 00:04-00:18, 00:12-00:19, 00:33-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--985415.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:17, 00:13-00:19, 00:32-00:36, 00:45-00:48, 00:54-00:56\nSpeaker B: 00:02-00:04, 00:10-00:12, 00:19-00:30, 00:37-00:45, 00:49-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--414445.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:12, 00:17-00:21, 00:31-00:36, 00:42-00:46\nSpeaker B: 00:05-00:13, 00:12-00:16, 00:22-00:31, 00:37-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1079940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:15-00:23, 00:36-00:41\nSpeaker B: 00:07-00:14, 00:23-00:35, 00:42-00:52"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1051467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:16, 00:16-00:21, 00:27-00:34, 00:39-00:43\nSpeaker B: 00:02-00:03, 00:09-00:16, 00:21-00:27, 00:35-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--185821.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:18, 00:16-00:20, 00:26-00:42, 00:51-01:08, 01:20-01:27\nSpeaker B: 00:05-00:07, 00:11-00:15, 00:21-00:26, 00:42-00:50, 01:09-01:19"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--174163.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:12-00:19, 00:34-00:47, 00:51-01:08, 01:17-01:26\nSpeaker B: 00:03-00:20, 00:19-00:34, 00:47-00:50, 01:08-01:16"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--268426.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:13-00:21, 00:36-00:40, 00:48-00:54\nSpeaker B: 00:06-00:13, 00:21-00:34, 00:41-00:47, 00:55-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--840566.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:09-00:14, 00:22-00:29\nSpeaker B: 00:05-00:16, 00:14-00:21, 00:30-00:43"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--905725.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:06, 00:10-00:16, 00:24-00:29, 00:32-00:34, 00:40-00:44\nSpeaker B: 00:03-00:05, 00:07-00:18, 00:16-00:23, 00:29-00:32, 00:34-00:40, 00:44-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1031234.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:18, 00:15-00:23, 00:28-00:38, 00:44-00:50, 00:54-01:03\nSpeaker B: 00:10-00:14, 00:24-00:28, 00:39-00:43, 00:51-00:54, 01:04-01:06"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--285043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:10, 00:14-00:28, 00:28-00:53, 01:01-01:09\nSpeaker B: 00:03-00:05, 00:10-00:14, 00:21-00:28, 00:53-01:00"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--686928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:11-00:25, 00:22-00:31, 00:40-00:48, 00:56-01:02\nSpeaker B: 00:07-00:10, 00:15-00:21, 00:31-00:39, 00:49-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--187120.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:10, 00:15-00:18, 00:27-00:30, 00:34-00:38, 00:41-00:46\nSpeaker B: 00:02-00:12, 00:10-00:15, 00:18-00:27, 00:30-00:34, 00:38-00:40, 00:46-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--541347.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:15, 00:19-00:24, 00:29-00:37\nSpeaker B: 00:03-00:13, 00:15-00:18, 00:25-00:28, 00:37-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--65367.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:15-00:29, 00:39-00:46\nSpeaker B: 00:05-00:14, 00:30-00:39, 00:46-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--208819.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:10-00:21, 00:23-00:29\nSpeaker B: 00:06-00:10, 00:22-00:23, 00:29-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1017701.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:14, 00:12-00:17, 00:30-00:34, 00:40-00:47\nSpeaker B: 00:03-00:04, 00:07-00:12, 00:17-00:29, 00:35-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--16779.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:12, 00:23-00:28, 00:31-00:32\nSpeaker B: 00:03-00:11, 00:12-00:23, 00:29-00:30"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--608672.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:16, 00:20-00:26, 00:28-00:32\nSpeaker B: 00:03-00:13, 00:16-00:20, 00:27-00:27"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--369090.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:16, 00:11-00:16, 00:18-00:25, 00:33-00:40\nSpeaker B: 00:02-00:04, 00:06-00:11, 00:16-00:17, 00:25-00:32, 00:41-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--824468.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:11-00:40, 00:36-00:56, 01:04-01:11\nSpeaker B: 00:02-00:04, 00:09-00:11, 00:31-00:36, 00:58-01:03"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--31287.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:10, 00:13-00:23, 00:31-00:35\nSpeaker B: 00:04-00:13, 00:11-00:12, 00:24-00:30"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--967872.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:09-00:18, 00:25-00:33, 00:38-00:49\nSpeaker B: 00:05-00:16, 00:19-00:25, 00:33-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--833014.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:12-00:32, 00:34-00:56, 01:05-01:22\nSpeaker B: 00:07-00:12, 00:24-00:33, 00:57-01:04, 01:23-01:28"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--633328.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:20, 00:18-00:22, 00:27-00:33\nSpeaker B: 00:04-00:06, 00:12-00:17, 00:23-00:26, 00:33-00:36"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--952835.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:18-00:25, 00:47-00:57\nSpeaker B: 00:08-00:27, 00:26-00:47, 00:58-01:01"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--883174.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:05-00:08, 00:18-00:24\nSpeaker B: 00:04-00:10, 00:09-00:18, 00:24-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--706051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:23, 00:19-00:41, 00:51-01:05\nSpeaker B: 00:02-00:04, 00:13-00:18, 00:42-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--514225.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:06, 00:14-00:22, 00:25-00:27, 00:38-00:41\nSpeaker B: 00:03-00:03, 00:06-00:22, 00:22-00:25, 00:27-00:38, 00:41-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--984123.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:19, 00:17-00:21, 00:24-00:29\nSpeaker B: 00:03-00:06, 00:12-00:17, 00:22-00:24, 00:30-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--488132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:15-00:19, 00:28-00:35\nSpeaker B: 00:08-00:15, 00:20-00:28"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--559740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:14, 00:24-00:31\nSpeaker B: 00:03-00:15, 00:15-00:23, 00:31-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--901379.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:19, 00:18-00:24, 00:33-00:43\nSpeaker B: 00:10-00:18, 00:24-00:32, 00:44-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--729972.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:22-00:26, 00:37-00:44, 00:54-01:06\nSpeaker B: 00:13-00:30, 00:26-00:36, 00:45-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--937978.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:07-00:29, 00:27-00:36, 00:39-00:54, 01:00-01:10\nSpeaker B: 00:06-00:07, 00:20-00:27, 00:36-00:38, 00:55-01:00"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--649458.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:06, 00:07-00:09, 00:12-00:24, 00:21-00:26, 00:31-00:36, 00:47-00:56, 01:02-01:04\nSpeaker B: 00:01-00:03, 00:06-00:07, 00:09-00:12, 00:16-00:20, 00:26-00:30, 00:36-00:46, 00:56-01:02"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--437704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:11, 00:15-00:19, 00:24-00:31, 00:43-00:46\nSpeaker B: 00:03-00:06, 00:12-00:21, 00:20-00:24, 00:31-00:44, 00:46-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--370577.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:16, 00:15-00:24, 00:31-00:41, 00:52-01:01\nSpeaker B: 00:01-00:04, 00:09-00:15, 00:24-00:30, 00:42-00:53, 01:01-01:02"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--27924.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:10, 00:12-00:29, 00:29-00:39, 00:46-00:53\nSpeaker B: 00:04-00:06, 00:11-00:12, 00:19-00:28, 00:40-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1144076.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:15-00:27, 00:36-00:48, 00:57-01:04\nSpeaker B: 00:06-00:15, 00:28-00:36, 00:48-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--584031.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:28, 00:35-00:52\nSpeaker B: 00:05-00:16, 00:28-00:34, 00:52-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--468879.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:08-00:12, 00:17-00:36, 00:44-01:09\nSpeaker B: 00:06-00:08, 00:12-00:24, 00:36-00:44, 01:10-01:17"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--33760.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:14, 00:22-00:30, 00:39-00:45\nSpeaker B: 00:04-00:12, 00:15-00:22, 00:31-00:38, 00:46-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--903126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:21, 00:29-00:39, 00:44-00:50, 00:55-01:15\nSpeaker B: 00:05-00:15, 00:21-00:29, 00:40-00:43, 00:50-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--75062.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:12-00:23, 00:34-00:42\nSpeaker B: 00:07-00:12, 00:23-00:34, 00:43-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--142496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:09, 00:14-00:28, 00:28-00:34, 00:55-01:00\nSpeaker B: 00:03-00:05, 00:10-00:14, 00:20-00:27, 00:34-00:54, 01:00-01:09"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--8820.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:10-00:21, 00:27-00:32\nSpeaker B: 00:05-00:10, 00:21-00:26, 00:33-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1073790.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:04, 00:13-00:14, 00:17-00:21, 00:26-00:30, 00:34-00:41\nSpeaker B: 00:01-00:11, 00:04-00:12, 00:14-00:17, 00:22-00:26, 00:30-00:34, 00:42-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--419304.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:13-00:20, 00:25-00:26, 00:39-00:43\nSpeaker B: 00:07-00:13, 00:20-00:25, 00:26-00:38, 00:43-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1171436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:13-00:24, 00:45-00:57\nSpeaker B: 00:11-00:22, 00:24-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:16, 00:09-00:14, 00:26-00:30\nSpeaker B: 00:01-00:02, 00:05-00:09, 00:15-00:25"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--20810.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:07-00:09, 00:15-00:23, 00:30-00:35, 00:51-00:58\nSpeaker B: 00:02-00:07, 00:10-00:24, 00:23-00:30, 00:35-00:48, 00:58-01:03"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--933257.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:11, 00:18-00:23, 00:29-00:32, 00:36-00:41, 00:47-00:51\nSpeaker B: 00:03-00:13, 00:11-00:18, 00:23-00:28, 00:32-00:36, 00:42-00:47, 00:52-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--583204.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:15-00:25, 00:28-00:39, 00:42-00:54\nSpeaker B: 00:12-00:15, 00:25-00:27, 00:39-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--869455.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:08, 00:12-00:25, 00:24-00:31, 00:36-00:44, 00:48-00:53, 00:56-01:01\nSpeaker B: 00:02-00:04, 00:08-00:11, 00:17-00:23, 00:31-00:35, 00:45-00:48, 00:53-00:56, 01:01-01:03"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--860535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:10-00:26, 00:32-00:50, 00:55-01:02\nSpeaker B: 00:05-00:09, 00:27-00:31, 00:50-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--938056.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:35, 00:30-00:54\nSpeaker B: 00:05-00:09, 00:27-00:29, 00:55-00:59"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--604161.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:18, 00:15-00:32, 00:37-00:43\nSpeaker B: 00:01-00:04, 00:10-00:14, 00:33-00:37, 00:43-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--596349.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:07, 00:12-00:20, 00:30-00:34\nSpeaker B: 00:02-00:03, 00:08-00:17, 00:20-00:30"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--934138.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:26, 00:21-00:26, 00:45-00:49\nSpeaker B: 00:02-00:04, 00:17-00:21, 00:26-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--617278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:09-00:15, 00:24-00:31\nSpeaker B: 00:05-00:09, 00:16-00:23, 00:32-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--931585.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:22, 00:21-00:36, 00:42-00:48\nSpeaker B: 00:04-00:06, 00:13-00:21, 00:37-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--148115.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:22, 00:22-00:38, 00:49-00:59, 01:08-01:25\nSpeaker B: 00:13-00:22, 00:38-00:49, 01:00-01:08, 01:25-01:28"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--321447.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:13, 00:24-00:32\nSpeaker B: 00:04-00:13, 00:13-00:24, 00:33-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--748043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:07, 00:10-00:15, 00:19-00:38, 00:42-00:49, 00:54-00:58, 01:05-01:07\nSpeaker B: 00:02-00:03, 00:08-00:17, 00:15-00:18, 00:38-00:42, 00:50-00:54, 00:59-01:05"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--806479.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:09-00:14, 00:19-00:20, 00:28-00:35, 00:42-00:47\nSpeaker B: 00:07-00:15, 00:14-00:19, 00:21-00:28, 00:35-00:41, 00:47-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--797399.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:15-00:21, 00:29-00:41, 00:39-00:42, 00:50-00:53\nSpeaker B: 00:04-00:15, 00:22-00:29, 00:33-00:38, 00:43-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--56287.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:14, 00:24-00:32, 00:35-00:37\nSpeaker B: 00:04-00:14, 00:14-00:23, 00:32-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--787791.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:08-00:18, 00:29-00:33, 00:46-00:49, 00:53-00:58\nSpeaker B: 00:02-00:07, 00:19-00:35, 00:33-00:46, 00:50-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--424960.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:11-00:13, 00:15-00:16, 00:21-00:27, 00:32-00:38\nSpeaker B: 00:02-00:10, 00:09-00:10, 00:13-00:15, 00:16-00:20, 00:27-00:32, 00:38-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--179580.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:13, 00:16-00:28, 00:33-00:36\nSpeaker B: 00:03-00:13, 00:13-00:16, 00:28-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--775321.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:09, 00:12-00:26, 00:23-00:31, 00:34-00:38, 00:42-01:02, 01:10-01:26\nSpeaker B: 00:02-00:05, 00:09-00:12, 00:16-00:22, 00:31-00:33, 00:38-00:41, 01:03-01:10"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--972977.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:09-00:18, 00:25-00:30\nSpeaker B: 00:03-00:08, 00:18-00:25, 00:30-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--419679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:17, 00:11-00:19, 00:24-00:32, 00:39-00:42, 00:48-01:00, 01:05-01:11\nSpeaker B: 00:01-00:03, 00:08-00:11, 00:20-00:23, 00:33-00:38, 00:42-00:47, 01:00-01:04, 01:11-01:19"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--596068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:07-00:13, 00:18-00:30\nSpeaker B: 00:02-00:07, 00:13-00:17"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--397434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:21, 00:19-00:28, 00:30-00:36\nSpeaker B: 00:14-00:18, 00:28-00:30"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--371354.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:10-00:24, 00:28-00:32\nSpeaker B: 00:06-00:09, 00:24-00:28, 00:32-00:36"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--809183.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:16-00:22\nSpeaker B: 00:10-00:23, 00:23-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--218746.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:11-00:16, 00:18-00:33, 00:48-00:57\nSpeaker B: 00:06-00:11, 00:17-00:24, 00:34-00:48, 00:57-01:07"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--977126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:10-00:23, 00:28-00:38, 00:43-00:48, 00:50-00:58\nSpeaker B: 00:07-00:10, 00:23-00:27, 00:38-00:42, 00:48-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--142004.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:16, 00:16-00:28, 00:35-00:44, 00:52-01:03, 01:06-01:08\nSpeaker B: 00:02-00:06, 00:09-00:16, 00:28-00:35, 00:45-00:51, 01:03-01:06"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1007774.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:13-00:21, 00:25-00:32, 00:37-00:45, 00:52-00:53\nSpeaker B: 00:06-00:13, 00:21-00:25, 00:33-00:37, 00:46-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--4955.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:14, 00:18-00:21, 00:25-00:36, 00:37-00:42, 00:45-00:49\nSpeaker B: 00:02-00:05, 00:15-00:18, 00:22-00:25, 00:29-00:37, 00:42-00:45, 00:49-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--179972.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:11-00:25, 00:24-00:33, 00:43-00:50, 00:54-01:00, 01:03-01:13, 01:21-01:24\nSpeaker B: 00:09-00:11, 00:17-00:24, 00:33-00:42, 00:50-00:54, 01:01-01:03, 01:14-01:20"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--419812.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:16, 00:14-00:21, 00:24-00:26, 00:35-00:42, 00:44-01:01\nSpeaker B: 00:02-00:05, 00:09-00:13, 00:21-00:24, 00:26-00:35, 00:42-00:44, 01:00-01:03"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--713730.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:12, 00:21-00:25, 00:28-00:30\nSpeaker B: 00:04-00:16, 00:13-00:20, 00:25-00:27, 00:30-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--978945.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:07-00:15, 00:19-00:31\nSpeaker B: 00:05-00:07, 00:15-00:18, 00:31-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--334902.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:13, 00:28-00:30\nSpeaker B: 00:03-00:13, 00:14-00:27, 00:30-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--158293.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:13, 00:15-00:18, 00:22-00:34, 00:31-00:37\nSpeaker B: 00:04-00:09, 00:13-00:15, 00:19-00:22, 00:25-00:30, 00:38-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--803822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:22, 00:18-00:32, 00:37-00:44, 00:50-00:55\nSpeaker B: 00:03-00:07, 00:12-00:18, 00:32-00:36, 00:45-00:49, 00:55-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115967.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:14, 00:12-00:19, 00:26-00:30\nSpeaker B: 00:01-00:04, 00:08-00:12, 00:20-00:25, 00:30-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--575640.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:18, 00:11-00:21, 00:37-00:47, 00:55-01:10\nSpeaker B: 00:06-00:10, 00:21-00:37, 00:48-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1052554.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:20, 00:15-00:34, 00:41-00:54\nSpeaker B: 00:08-00:14, 00:34-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1117467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:12, 00:26-00:30\nSpeaker B: 00:04-00:13, 00:12-00:26, 00:31-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--245101.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:08, 00:10-00:14, 00:17-00:24, 00:26-00:31\nSpeaker B: 00:05-00:06, 00:08-00:09, 00:14-00:26, 00:25-00:26, 00:32-00:36"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--385591.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:11-00:27, 00:35-00:44\nSpeaker B: 00:06-00:11, 00:29-00:35, 00:45-00:52"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--7207.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:20-00:32, 00:50-00:59\nSpeaker B: 00:07-00:27, 00:33-00:50, 01:00-01:10"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--497264.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:10-00:15, 00:21-00:27, 00:37-00:42\nSpeaker B: 00:04-00:09, 00:15-00:28, 00:28-00:36"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--197137.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:18, 00:17-00:24, 00:36-00:43, 00:52-00:55\nSpeaker B: 00:03-00:05, 00:10-00:16, 00:25-00:35, 00:43-00:52"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--12047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:16, 00:20-00:34, 00:36-00:50\nSpeaker B: 00:03-00:11, 00:17-00:20, 00:32-00:36"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1130331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:28, 00:27-00:38, 00:41-00:50, 00:58-01:01\nSpeaker B: 00:02-00:05, 00:19-00:27, 00:38-00:41, 00:50-00:57"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1076109.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:09, 00:13-00:31, 00:38-00:52\nSpeaker B: 00:02-00:12, 00:09-00:12, 00:31-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--413405.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:12-00:22, 00:30-00:37, 00:41-00:44, 00:51-01:01, 01:07-01:10\nSpeaker B: 00:05-00:11, 00:22-00:29, 00:37-00:40, 00:44-01:00, 01:02-01:07"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--421778.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:22, 00:21-00:33\nSpeaker B: 00:02-00:03, 00:12-00:20, 00:33-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1080121.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:15, 00:22-00:26, 00:28-00:34, 00:37-00:41\nSpeaker B: 00:04-00:15, 00:15-00:21, 00:27-00:28, 00:35-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--778704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:06-00:13, 00:17-00:27, 00:30-00:33\nSpeaker B: 00:04-00:05, 00:13-00:17, 00:28-00:30"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--171463.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:22, 00:21-00:35, 00:43-00:52\nSpeaker B: 00:02-00:04, 00:15-00:21, 00:36-00:43, 00:52-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--826028.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:13, 00:15-00:17, 00:24-00:27, 00:35-00:39, 00:42-00:44\nSpeaker B: 00:03-00:05, 00:14-00:23, 00:17-00:24, 00:28-00:35, 00:39-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--986089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:09-00:24, 00:23-00:32, 00:37-00:45, 00:50-00:56\nSpeaker B: 00:02-00:09, 00:15-00:23, 00:33-00:36, 00:46-00:50, 00:57-00:59"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--514047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:22, 00:17-00:19, 00:39-00:46, 00:57-01:00\nSpeaker B: 00:12-00:17, 00:19-00:39, 00:46-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--219689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:06, 00:09-00:10, 00:12-00:17, 00:21-00:24, 00:26-00:30, 00:33-00:35\nSpeaker B: 00:02-00:03, 00:07-00:08, 00:10-00:19, 00:17-00:21, 00:24-00:26, 00:31-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1010589.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:09-00:26, 00:32-00:37\nSpeaker B: 00:05-00:09, 00:26-00:32, 00:38-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1001007.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:16, 00:11-00:15, 00:23-00:27, 00:34-00:38, 00:41-00:46\nSpeaker B: 00:03-00:04, 00:06-00:10, 00:15-00:23, 00:28-00:34, 00:38-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--193134.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:19, 00:26-00:33\nSpeaker B: 00:04-00:10, 00:19-00:33, 00:33-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--121129.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:15, 00:13-00:17, 00:19-00:21, 00:25-00:34, 00:40-00:44\nSpeaker B: 00:02-00:04, 00:08-00:12, 00:18-00:19, 00:22-00:25, 00:35-00:39, 00:44-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--532510.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:12, 00:16-00:18, 00:20-00:26, 00:32-00:35\nSpeaker B: 00:04-00:13, 00:12-00:16, 00:18-00:19, 00:26-00:31, 00:36-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--556475.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:13, 00:29-00:40\nSpeaker B: 00:03-00:13, 00:14-00:29"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--894939.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:15-00:27, 00:26-00:30\nSpeaker B: 00:07-00:14, 00:19-00:25, 00:30-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--165189.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:17, 00:15-00:26, 00:40-00:53\nSpeaker B: 00:03-00:04, 00:09-00:14, 00:26-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--770919.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:09-00:18, 00:29-00:33, 00:41-00:48, 00:54-01:00\nSpeaker B: 00:04-00:08, 00:18-00:28, 00:34-00:41, 00:48-00:54, 01:01-01:03"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1076439.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:18, 00:18-00:26, 00:29-00:39\nSpeaker B: 00:03-00:04, 00:11-00:17, 00:26-00:28, 00:40-00:43"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--564472.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:22, 00:21-00:32\nSpeaker B: 00:03-00:05, 00:13-00:21, 00:32-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--447088.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:15, 00:26-00:33, 00:46-00:56, 01:06-01:09, 01:15-01:17\nSpeaker B: 00:03-00:12, 00:15-00:25, 00:33-00:44, 00:56-01:06, 01:10-01:15"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1001071.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:10-00:20, 00:18-00:22, 00:30-00:43, 00:49-00:56, 01:02-01:06, 01:16-01:19\nSpeaker B: 00:06-00:09, 00:13-00:17, 00:23-00:29, 00:44-00:48, 00:57-01:02, 01:07-01:16, 01:20-01:22"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--150383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:12-00:28, 00:39-01:01\nSpeaker B: 00:05-00:11, 00:29-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--49720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:12-00:13, 00:23-00:28\nSpeaker B: 00:02-00:12, 00:08-00:11, 00:14-00:20, 00:29-00:31"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--387024.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:19, 00:16-00:30\nSpeaker B: 00:02-00:04, 00:10-00:16, 00:30-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1030451.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:13-00:20, 00:34-00:42, 01:00-01:06\nSpeaker B: 00:06-00:13, 00:20-00:34, 00:42-01:00, 01:07-01:11"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--744708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:12-00:24, 00:31-00:38, 00:52-00:55\nSpeaker B: 00:07-00:12, 00:25-00:31, 00:39-00:52"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--334612.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:04, 00:06-00:08, 00:11-00:15, 00:24-00:27, 00:37-00:38\nSpeaker B: 00:01-00:02, 00:05-00:05, 00:09-00:16, 00:15-00:24, 00:28-00:36, 00:39-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--876642.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:16, 00:29-00:40\nSpeaker B: 00:05-00:17, 00:17-00:29, 00:40-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--475039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:08-00:13, 00:23-00:27, 00:32-00:35\nSpeaker B: 00:03-00:07, 00:14-00:21, 00:27-00:32, 00:36-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--514230.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:16, 00:11-00:17, 00:29-00:33, 00:36-00:41\nSpeaker B: 00:03-00:06, 00:08-00:10, 00:17-00:26, 00:34-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--674832.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:13, 00:20-00:36, 00:43-00:49\nSpeaker B: 00:02-00:12, 00:14-00:20, 00:36-00:43, 00:50-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--297496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:13, 00:16-00:27, 00:32-00:34\nSpeaker B: 00:02-00:11, 00:13-00:16, 00:27-00:31"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--708343.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:13, 00:20-00:27, 00:31-00:42, 00:49-00:55\nSpeaker B: 00:04-00:13, 00:13-00:20, 00:27-00:31, 00:43-00:49, 00:56-00:58"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--356688.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:10-00:26, 00:43-00:47\nSpeaker B: 00:03-00:09, 00:30-00:43, 00:47-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--908444.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:07-00:18, 00:22-00:24, 00:27-00:34, 00:39-00:44, 00:48-00:49\nSpeaker B: 00:04-00:06, 00:18-00:22, 00:24-00:26, 00:34-00:38, 00:45-00:47, 00:49-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--39376.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:14, 00:23-00:35\nSpeaker B: 00:04-00:18, 00:14-00:22, 00:35-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--633173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:14, 00:14-00:18, 00:21-00:33, 00:40-00:46\nSpeaker B: 00:03-00:05, 00:09-00:13, 00:18-00:21, 00:33-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--637306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:12, 00:22-00:26, 00:29-00:30, 00:38-00:43, 00:48-00:53\nSpeaker B: 00:02-00:14, 00:12-00:21, 00:26-00:28, 00:31-00:38, 00:43-00:48, 00:53-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--4948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:23, 00:22-00:34, 00:52-01:02\nSpeaker B: 00:12-00:21, 00:35-00:52, 01:02-01:14"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--762905.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:24, 00:21-00:30, 00:44-01:00, 01:12-01:20\nSpeaker B: 00:03-00:04, 00:15-00:20, 00:30-00:43, 01:00-01:11"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--795181.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:07, 00:11-00:18, 00:29-00:43, 00:47-00:50\nSpeaker B: 00:02-00:04, 00:07-00:19, 00:19-00:28, 00:44-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--844892.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:17, 00:12-00:19, 00:24-00:28\nSpeaker B: 00:03-00:06, 00:08-00:12, 00:19-00:23, 00:28-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--480349.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:13-00:19, 00:32-00:35\nSpeaker B: 00:07-00:20, 00:20-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--630141.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:08-00:15, 00:18-00:22, 00:30-00:42\nSpeaker B: 00:07-00:16, 00:15-00:18, 00:22-00:30, 00:42-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--456887.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:07, 00:09-00:26, 00:23-00:33, 00:46-00:53\nSpeaker B: 00:01-00:03, 00:07-00:08, 00:18-00:23, 00:34-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1142459.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:12-00:17, 00:24-00:31, 00:42-00:50, 00:59-01:08, 01:17-01:28\nSpeaker B: 00:07-00:12, 00:17-00:23, 00:32-00:41, 00:51-01:05, 01:08-01:17"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--638647.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:09, 00:20-00:24, 00:32-00:37\nSpeaker B: 00:02-00:10, 00:09-00:19, 00:25-00:31"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--194829.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:13-00:33, 00:41-00:45\nSpeaker B: 00:08-00:13, 00:31-00:40, 00:45-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--11862.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:23, 00:18-00:25, 00:27-00:31, 00:34-00:38, 00:43-00:48, 00:57-01:04\nSpeaker B: 00:04-00:07, 00:15-00:18, 00:25-00:26, 00:31-00:34, 00:39-00:42, 00:49-00:56, 01:04-01:17"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1084179.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:07-00:28, 00:25-00:33, 00:48-01:02, 01:12-01:19\nSpeaker B: 00:06-00:07, 00:18-00:24, 00:34-00:47, 01:03-01:12"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--741600.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:21, 00:20-00:27, 00:35-00:40, 00:47-00:54\nSpeaker B: 00:04-00:06, 00:13-00:19, 00:28-00:34, 00:41-00:46, 00:54-01:05"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--531935.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:08-00:18, 00:24-00:29, 00:33-00:37, 00:43-00:50\nSpeaker B: 00:04-00:08, 00:18-00:24, 00:29-00:33, 00:38-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--718092.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:21, 00:18-00:29, 00:45-00:51, 01:03-01:07\nSpeaker B: 00:02-00:05, 00:12-00:18, 00:30-00:43, 00:52-01:03, 01:07-01:12"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--999053.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:19, 00:16-00:31, 00:37-00:40\nSpeaker B: 00:03-00:04, 00:09-00:16, 00:32-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1140564.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:05, 00:08-00:10, 00:13-00:31, 00:23-00:32, 00:36-00:57\nSpeaker B: 00:02-00:03, 00:06-00:08, 00:11-00:13, 00:19-00:22, 00:33-00:36, 00:58-01:05"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--590679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:12-00:14, 00:26-00:31, 00:37-00:47\nSpeaker B: 00:05-00:12, 00:14-00:26, 00:32-00:36, 00:48-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--98673.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:11, 00:13-00:18, 00:30-00:35\nSpeaker B: 00:02-00:05, 00:12-00:13, 00:18-00:38, 00:35-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--967919.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:14, 00:15-00:24, 00:32-00:36\nSpeaker B: 00:01-00:02, 00:09-00:15, 00:24-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--49462.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:14, 00:25-00:35\nSpeaker B: 00:05-00:14, 00:15-00:25, 00:35-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--700208.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:11, 00:24-00:28\nSpeaker B: 00:06-00:14, 00:12-00:23, 00:28-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--96343.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:15-00:28, 00:45-01:00\nSpeaker B: 00:09-00:14, 00:28-00:44, 01:01-01:08"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--805520.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:13-00:32, 00:33-00:45, 00:54-01:04\nSpeaker B: 00:04-00:13, 00:24-00:32, 00:45-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1123691.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:11, 00:18-00:31\nSpeaker B: 00:05-00:16, 00:11-00:17, 00:31-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--610118.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:16, 00:28-00:32, 00:40-00:46, 00:56-00:59\nSpeaker B: 00:04-00:16, 00:16-00:27, 00:32-00:39, 00:46-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--895260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:12-00:26, 00:26-00:43\nSpeaker B: 00:07-00:11, 00:19-00:25, 00:44-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--28408.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:08, 00:13-00:27, 00:25-00:28, 00:35-00:52, 00:58-01:10, 01:17-01:21\nSpeaker B: 00:02-00:04, 00:08-00:13, 00:18-00:24, 00:29-00:35, 00:53-00:58, 01:11-01:16"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1050248.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:12-00:17, 00:34-00:38\nSpeaker B: 00:06-00:17, 00:17-00:34, 00:38-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--720445.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:09-00:21, 00:19-00:28, 00:45-00:51, 01:03-01:06\nSpeaker B: 00:06-00:09, 00:14-00:18, 00:28-00:44, 00:51-01:02, 01:06-01:10"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--636981.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:07-00:11, 00:16-00:24, 00:29-00:33, 00:38-00:44, 00:50-00:54\nSpeaker B: 00:02-00:07, 00:12-00:16, 00:24-00:29, 00:34-00:37, 00:44-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--891432.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:11-00:31, 00:27-00:48\nSpeaker B: 00:08-00:10, 00:21-00:26, 00:49-00:57"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--527126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:08, 00:12-00:18, 00:24-00:26, 00:30-00:37, 00:42-00:52, 00:59-01:04\nSpeaker B: 00:02-00:04, 00:08-00:11, 00:19-00:23, 00:27-00:35, 00:37-00:42, 00:52-00:59, 01:04-01:07"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--302689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:12-00:24, 00:32-00:34, 00:37-00:40, 00:48-00:51, 00:58-01:02\nSpeaker B: 00:04-00:11, 00:24-00:31, 00:34-00:37, 00:41-00:47, 00:52-00:58, 01:02-01:04"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1186756.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:18, 00:10-00:14, 00:30-00:35\nSpeaker B: 00:03-00:04, 00:06-00:09, 00:14-00:30, 00:36-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--928982.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:10, 00:14-00:16, 00:29-00:35, 00:39-00:43, 00:48-00:52\nSpeaker B: 00:02-00:11, 00:10-00:13, 00:17-00:28, 00:35-00:39, 00:43-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--609826.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:21, 00:16-00:36, 00:56-01:05\nSpeaker B: 00:02-00:03, 00:11-00:15, 00:36-00:55, 01:05-01:14"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--766305.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:13-00:14, 00:19-00:27\nSpeaker B: 00:01-00:20, 00:14-00:19, 00:27-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--836452.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:17, 00:15-00:24, 00:29-00:33\nSpeaker B: 00:02-00:04, 00:10-00:14, 00:25-00:29, 00:34-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--640494.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:13, 00:11-00:21, 00:23-00:33, 00:38-00:44\nSpeaker B: 00:01-00:04, 00:07-00:11, 00:22-00:23, 00:33-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--218430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:14, 00:22-00:26, 00:30-00:34\nSpeaker B: 00:03-00:15, 00:14-00:21, 00:26-00:29"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--254497.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:10-00:21, 00:32-00:41\nSpeaker B: 00:05-00:09, 00:22-00:32, 00:41-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--290375.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:10-00:14, 00:17-00:18, 00:21-00:22, 00:25-00:29, 00:32-00:39\nSpeaker B: 00:06-00:09, 00:14-00:17, 00:19-00:21, 00:22-00:24, 00:30-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--980776.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:07, 00:15-00:24, 00:46-00:54\nSpeaker B: 00:02-00:04, 00:07-00:22, 00:25-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--463322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:15, 00:12-00:16, 00:21-00:28, 00:33-00:38\nSpeaker B: 00:02-00:05, 00:07-00:11, 00:17-00:20, 00:28-00:33, 00:39-00:43"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--536240.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:10, 00:15-00:22, 00:27-00:38, 00:44-00:52, 00:57-01:01\nSpeaker B: 00:03-00:13, 00:10-00:15, 00:22-00:27, 00:39-00:44, 00:52-00:56, 01:01-01:09"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1097788.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:19, 00:14-00:29, 00:49-00:56\nSpeaker B: 00:03-00:05, 00:11-00:13, 00:29-00:48, 00:57-01:17"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--90720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:18-00:21, 00:34-00:38, 00:43-00:48\nSpeaker B: 00:08-00:18, 00:21-00:33, 00:38-00:43, 00:48-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--715956.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:13, 00:16-00:19, 00:23-00:27, 00:36-00:40, 00:45-00:51\nSpeaker B: 00:04-00:07, 00:13-00:16, 00:20-00:29, 00:28-00:35, 00:40-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--676747.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:17, 00:12-00:24\nSpeaker B: 00:02-00:05, 00:09-00:11, 00:25-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--146504.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:16, 00:12-00:19, 00:20-00:23, 00:29-00:34\nSpeaker B: 00:03-00:05, 00:07-00:12, 00:19-00:20, 00:23-00:29, 00:34-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--58019.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:06, 00:10-00:17, 00:27-00:30\nSpeaker B: 00:01-00:04, 00:06-00:16, 00:18-00:27, 00:31-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--874990.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:19, 00:15-00:32, 00:38-00:45, 00:50-00:52\nSpeaker B: 00:02-00:04, 00:10-00:14, 00:33-00:38, 00:45-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--757426.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:10, 00:15-00:22, 00:27-00:35\nSpeaker B: 00:03-00:13, 00:10-00:15, 00:22-00:27"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--743500.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:13-00:23, 00:41-00:51\nSpeaker B: 00:05-00:20, 00:23-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--595180.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:09, 00:12-00:17, 00:23-00:26\nSpeaker B: 00:04-00:12, 00:09-00:11, 00:17-00:23, 00:27-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--908191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:13, 00:29-00:34\nSpeaker B: 00:04-00:17, 00:14-00:29"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--601727.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:14-00:17, 00:20-00:24, 00:26-00:28, 00:39-00:43\nSpeaker B: 00:06-00:14, 00:17-00:20, 00:24-00:26, 00:29-00:38, 00:44-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--795559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:21-00:33, 00:48-00:58\nSpeaker B: 00:11-00:27, 00:33-00:50, 00:58-01:00"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--13635.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:11, 00:18-00:28, 00:31-00:49, 00:55-01:01, 01:06-01:07\nSpeaker B: 00:03-00:17, 00:12-00:18, 00:28-00:31, 00:50-00:54, 01:01-01:05"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--468603.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:06, 00:10-00:12, 00:18-00:20, 00:35-00:39, 00:58-01:02, 01:15-01:17\nSpeaker B: 00:01-00:02, 00:06-00:09, 00:13-00:17, 00:21-00:41, 00:40-00:58, 01:03-01:15"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--727552.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:15-00:25\nSpeaker B: 00:06-00:14, 00:25-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--727873.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:10, 00:17-00:22, 00:33-00:34, 00:37-00:43, 00:49-01:02, 01:07-01:10\nSpeaker B: 00:05-00:08, 00:10-00:23, 00:23-00:33, 00:35-00:37, 00:43-00:49, 01:03-01:06"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--571413.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:09, 00:12-00:17, 00:23-00:31, 00:33-00:44, 00:51-00:54\nSpeaker B: 00:02-00:04, 00:10-00:18, 00:17-00:23, 00:31-00:32, 00:45-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--120698.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:08-00:15, 00:30-00:34\nSpeaker B: 00:04-00:07, 00:16-00:30, 00:35-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1123711.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:10, 00:13-00:31, 00:27-00:36\nSpeaker B: 00:05-00:07, 00:11-00:13, 00:21-00:26, 00:37-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--690452.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:12-00:27, 00:36-00:38\nSpeaker B: 00:09-00:12, 00:27-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--389182.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:15-00:17, 00:24-00:39\nSpeaker B: 00:04-00:23, 00:18-00:23, 00:39-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--276032.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:24, 00:24-00:31, 00:43-00:46\nSpeaker B: 00:02-00:07, 00:17-00:23, 00:32-00:43, 00:46-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--418520.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:13-00:18, 00:24-00:28, 00:30-00:35, 00:39-00:43\nSpeaker B: 00:07-00:13, 00:19-00:23, 00:28-00:30, 00:36-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--842885.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:19, 00:17-00:29, 00:38-00:44\nSpeaker B: 00:01-00:03, 00:11-00:17, 00:29-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--303363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:16, 00:21-00:24, 00:37-00:43\nSpeaker B: 00:04-00:14, 00:16-00:20, 00:25-00:37, 00:43-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--836740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:09, 00:13-00:27, 00:22-00:45, 01:04-01:13, 01:21-01:25\nSpeaker B: 00:04-00:04, 00:10-00:13, 00:18-00:22, 00:46-01:04, 01:14-01:20"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--214477.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:06-00:07, 00:09-00:12, 00:13-00:15, 00:16-00:25, 00:32-00:38\nSpeaker B: 00:04-00:05, 00:08-00:09, 00:12-00:13, 00:15-00:16, 00:25-00:31, 00:39-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1049130.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:12, 00:17-00:20, 00:28-00:35, 00:44-00:49, 00:58-01:03, 01:08-01:15\nSpeaker B: 00:04-00:15, 00:13-00:17, 00:20-00:27, 00:36-00:43, 00:49-00:58, 01:03-01:08, 01:16-01:18"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--304811.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:11, 00:13-00:15, 00:19-00:22, 00:30-00:37, 00:45-00:57\nSpeaker B: 00:02-00:14, 00:11-00:12, 00:16-00:19, 00:22-00:30, 00:37-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--761001.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:14-00:21, 00:28-00:40\nSpeaker B: 00:06-00:13, 00:22-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--153751.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:16, 00:22-00:30, 00:43-00:50, 00:55-01:00\nSpeaker B: 00:06-00:14, 00:16-00:22, 00:30-00:42, 00:50-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--617839.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:16-00:29, 00:39-00:41\nSpeaker B: 00:08-00:15, 00:29-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--525710.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:17, 00:21-00:22, 00:34-00:42\nSpeaker B: 00:04-00:15, 00:17-00:20, 00:23-00:33, 00:42-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1022129.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:16, 00:29-00:34, 00:40-00:47, 00:49-00:51, 00:56-00:58, 01:02-01:05\nSpeaker B: 00:03-00:14, 00:16-00:27, 00:35-00:39, 00:48-00:49, 00:51-00:55, 00:59-01:02"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--719372.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:07, 00:11-00:24, 00:21-00:28, 00:32-00:42, 00:48-00:55\nSpeaker B: 00:01-00:02, 00:07-00:11, 00:16-00:20, 00:28-00:31, 00:43-00:48, 00:55-01:00"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--303336.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:10-00:16, 00:21-00:26, 00:32-00:37\nSpeaker B: 00:04-00:10, 00:17-00:21, 00:26-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--526278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:12-00:21, 00:26-00:31\nSpeaker B: 00:04-00:11, 00:21-00:26, 00:31-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--193968.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:11-00:18, 00:28-00:34\nSpeaker B: 00:04-00:11, 00:18-00:28, 00:34-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--126313.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:07, 00:11-00:16, 00:20-00:24, 00:27-00:29, 00:30-00:37, 00:41-00:47\nSpeaker B: 00:02-00:04, 00:08-00:17, 00:17-00:19, 00:24-00:26, 00:29-00:30, 00:37-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--316553.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:21-00:33, 00:43-00:46\nSpeaker B: 00:09-00:20, 00:33-00:43, 00:47-00:58"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1128813.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:18-00:28, 00:38-00:45, 00:57-01:05\nSpeaker B: 00:08-00:23, 00:29-00:37, 00:46-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1092169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:22, 00:22-00:32, 00:37-00:44\nSpeaker B: 00:03-00:07, 00:15-00:21, 00:33-00:36, 00:44-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--784738.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:15, 00:15-00:19, 00:24-00:26, 00:29-00:33, 00:38-00:46, 00:52-01:01, 01:05-01:12\nSpeaker B: 00:03-00:06, 00:10-00:14, 00:20-00:23, 00:27-00:29, 00:34-00:37, 00:46-00:51, 01:01-01:05"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--302394.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:12-00:18, 00:33-00:50, 00:59-01:07\nSpeaker B: 00:05-00:12, 00:19-00:33, 00:53-00:59, 01:07-01:15"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1112132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:14-00:22, 00:28-00:31, 00:35-00:42, 00:51-00:57, 01:05-01:08, 01:13-01:17\nSpeaker B: 00:06-00:14, 00:23-00:27, 00:32-00:35, 00:43-00:51, 00:57-01:04, 01:09-01:13, 01:17-01:19"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--585968.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:06, 00:10-00:14, 00:23-00:36, 00:44-00:54\nSpeaker B: 00:01-00:03, 00:06-00:10, 00:14-00:30, 00:37-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--487317.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:17, 00:16-00:24, 00:36-00:40\nSpeaker B: 00:02-00:06, 00:09-00:16, 00:24-00:36"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--25283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:10-00:22, 00:24-00:37\nSpeaker B: 00:06-00:10, 00:23-00:24, 00:38-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--860269.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:15, 00:13-00:18, 00:22-00:25, 00:37-00:42, 00:46-00:49\nSpeaker B: 00:01-00:03, 00:07-00:12, 00:19-00:22, 00:25-00:37, 00:42-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--674667.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:15, 00:16-00:20, 00:23-00:28, 00:34-00:39\nSpeaker B: 00:02-00:06, 00:09-00:15, 00:20-00:23, 00:29-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1180329.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:14-00:21, 00:31-00:37, 00:43-00:50\nSpeaker B: 00:07-00:14, 00:21-00:31, 00:37-00:42, 00:50-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--126878.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:13-00:20, 00:23-00:29, 00:32-00:35, 00:44-00:50\nSpeaker B: 00:05-00:12, 00:20-00:23, 00:29-00:32, 00:35-00:43, 00:50-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--855653.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:14-00:22, 00:37-00:44, 00:50-00:54\nSpeaker B: 00:07-00:14, 00:22-00:37, 00:45-00:49, 00:55-00:57"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--798455.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:10-00:19, 00:31-00:41, 00:47-00:59\nSpeaker B: 00:07-00:10, 00:19-00:31, 00:42-00:47, 01:00-01:10"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--835488.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:15, 00:13-00:17, 00:20-00:29, 00:33-00:37\nSpeaker B: 00:01-00:04, 00:08-00:12, 00:17-00:19, 00:29-00:32, 00:38-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--730163.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:11, 00:15-00:32, 00:25-00:34, 00:42-00:53\nSpeaker B: 00:05-00:07, 00:12-00:14, 00:22-00:25, 00:34-00:42, 00:53-00:57"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--706924.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:11, 00:17-00:24, 00:31-00:44, 01:04-01:17, 01:24-01:29\nSpeaker B: 00:02-00:04, 00:12-00:30, 00:24-00:30, 00:44-01:04, 01:17-01:23"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--87333.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:15, 00:19-00:25, 00:32-00:42, 00:46-01:02\nSpeaker B: 00:03-00:15, 00:16-00:19, 00:26-00:32, 00:42-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--311173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:18, 00:10-00:15, 00:18-00:35, 00:38-00:44, 00:49-00:50\nSpeaker B: 00:01-00:03, 00:08-00:10, 00:15-00:18, 00:35-00:38, 00:44-00:48, 00:51-00:52"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--249372.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:21-00:28, 00:43-00:50, 01:04-01:09\nSpeaker B: 00:03-00:26, 00:29-00:43, 00:50-01:03"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--913166.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:12, 00:17-00:20, 00:29-00:31\nSpeaker B: 00:04-00:15, 00:13-00:17, 00:20-00:29"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--970059.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:10-00:14, 00:29-00:32, 00:40-00:42\nSpeaker B: 00:04-00:09, 00:15-00:28, 00:33-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--560596.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:08, 00:11-00:14, 00:21-00:55, 00:51-00:57\nSpeaker B: 00:03-00:06, 00:08-00:11, 00:15-00:21, 00:42-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--810606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:07, 00:12-00:26, 00:23-00:30, 00:34-00:40, 00:54-00:58, 01:07-01:09\nSpeaker B: 00:01-00:03, 00:07-00:12, 00:17-00:23, 00:30-00:34, 00:40-00:53, 00:58-01:06, 01:10-01:11"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--27446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:21, 00:13-00:36, 00:47-00:54\nSpeaker B: 00:04-00:05, 00:09-00:13, 00:37-00:47, 00:54-01:01"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--940934.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:22, 00:19-00:27\nSpeaker B: 00:01-00:04, 00:12-00:18, 00:28-00:31"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1177869.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:04-00:07, 00:09-00:10, 00:13-00:25, 00:28-00:40, 00:47-00:56\nSpeaker B: 00:03-00:04, 00:08-00:08, 00:11-00:21, 00:25-00:27, 00:41-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--861085.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:13-00:17, 00:23-00:26, 00:30-00:34, 00:43-00:45, 00:48-00:48\nSpeaker B: 00:04-00:13, 00:17-00:23, 00:26-00:37, 00:34-00:43, 00:46-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--189460.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:03-00:22, 00:21-00:38, 00:48-00:52\nSpeaker B: 00:02-00:03, 00:12-00:21, 00:38-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--677647.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:21, 00:18-00:24, 00:29-00:31\nSpeaker B: 00:05-00:07, 00:12-00:17, 00:24-00:29"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--821468.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:16, 00:14-00:24, 00:29-00:39\nSpeaker B: 00:01-00:04, 00:09-00:13, 00:24-00:28"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--781246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:06, 00:08-00:21, 00:20-00:26, 00:39-00:46, 00:51-00:57, 01:08-01:12\nSpeaker B: 00:02-00:03, 00:07-00:07, 00:14-00:20, 00:26-00:38, 00:46-00:51, 00:58-01:07, 01:12-01:18"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--310941.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:14, 00:11-00:14, 00:23-00:27, 00:33-00:34\nSpeaker B: 00:03-00:04, 00:06-00:11, 00:14-00:22, 00:28-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--207527.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:13-00:21, 00:36-00:40, 00:48-00:53\nSpeaker B: 00:05-00:22, 00:21-00:35, 00:41-00:47, 00:53-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1106201.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:21-00:31, 00:38-00:44\nSpeaker B: 00:01-00:09, 00:09-00:21, 00:31-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--108309.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:08-00:22, 00:25-00:30\nSpeaker B: 00:03-00:08, 00:23-00:25, 00:31-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--911067.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:28, 00:31-00:39\nSpeaker B: 00:02-00:14, 00:27-00:30, 00:40-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--289733.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:07-00:10, 00:22-00:29, 00:40-00:50\nSpeaker B: 00:02-00:06, 00:11-00:29, 00:29-00:40, 00:50-00:52"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--68508.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:13, 00:19-00:23, 00:33-00:42, 00:48-00:52\nSpeaker B: 00:03-00:13, 00:13-00:18, 00:23-00:29, 00:43-00:48, 00:52-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--719833.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:17, 00:15-00:18, 00:22-00:34, 00:38-00:44, 00:55-00:57\nSpeaker B: 00:02-00:04, 00:11-00:14, 00:18-00:22, 00:34-00:38, 00:44-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--486716.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:11-00:14, 00:18-00:20, 00:31-00:35, 00:38-00:40\nSpeaker B: 00:04-00:10, 00:15-00:17, 00:20-00:30, 00:36-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--843172.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:09, 00:21-00:23, 00:25-00:27, 00:33-00:34\nSpeaker B: 00:04-00:14, 00:09-00:21, 00:24-00:25, 00:28-00:32, 00:35-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--876226.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:15-00:17, 00:28-00:29\nSpeaker B: 00:08-00:15, 00:18-00:27, 00:30-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1096861.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:26, 00:25-00:33, 00:38-00:41\nSpeaker B: 00:04-00:09, 00:17-00:25, 00:33-00:37, 00:42-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--857144.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:10-00:16, 00:23-00:35, 00:44-00:48\nSpeaker B: 00:05-00:10, 00:16-00:23, 00:36-00:43, 00:48-00:52"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--30336.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:21, 00:20-00:30, 00:35-00:44\nSpeaker B: 00:03-00:07, 00:14-00:19, 00:30-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--822773.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:18, 00:14-00:35, 00:40-00:53\nSpeaker B: 00:03-00:06, 00:11-00:14, 00:35-00:40, 00:53-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--417260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:18-00:50, 01:01-01:09\nSpeaker B: 00:08-00:17, 00:51-01:01"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--15103.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:03-00:16, 00:14-00:17, 00:26-00:31, 00:36-00:37\nSpeaker B: 00:02-00:03, 00:08-00:13, 00:17-00:26, 00:32-00:35, 00:38-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--296467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:21, 00:17-00:20, 00:24-00:28, 00:36-00:45\nSpeaker B: 00:05-00:05, 00:12-00:16, 00:20-00:23, 00:29-00:35, 00:46-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--420707.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:13, 00:21-00:28, 00:33-00:35\nSpeaker B: 00:03-00:11, 00:13-00:20, 00:29-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--187351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:18, 00:13-00:24, 00:27-00:32, 00:39-00:55, 00:57-00:59\nSpeaker B: 00:02-00:05, 00:09-00:13, 00:25-00:27, 00:32-00:38, 00:55-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--682132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:07-00:13, 00:19-00:26, 00:33-00:42, 00:48-00:54\nSpeaker B: 00:01-00:13, 00:14-00:18, 00:27-00:33, 00:43-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1085362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:08-00:15, 00:20-00:25, 00:31-00:37, 00:42-00:45\nSpeaker B: 00:03-00:08, 00:16-00:20, 00:25-00:30, 00:38-00:41, 00:46-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1050100.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:16, 00:28-00:31\nSpeaker B: 00:04-00:16, 00:16-00:28"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--730476.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:25, 00:21-00:31, 00:32-00:36, 00:39-00:43, 00:49-00:56\nSpeaker B: 00:06-00:08, 00:16-00:21, 00:37-00:38, 00:43-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--352805.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:16-00:28, 00:34-00:38\nSpeaker B: 00:01-00:11, 00:10-00:15, 00:28-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1180469.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:11-00:16, 00:33-00:41, 00:49-00:52\nSpeaker B: 00:03-00:18, 00:16-00:32, 00:42-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--953260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:09-00:16, 00:31-00:42\nSpeaker B: 00:02-00:16, 00:17-00:31, 00:42-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--616846.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:21, 00:16-00:24, 00:30-00:34, 00:44-00:54, 00:59-01:00\nSpeaker B: 00:03-00:04, 00:10-00:16, 00:25-00:30, 00:35-00:44, 00:54-00:58"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--778927.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:17-00:32, 00:50-00:59, 01:08-01:10\nSpeaker B: 00:06-00:17, 00:32-00:50, 00:59-01:08"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--29039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:13-00:20, 00:28-00:33, 00:43-00:47\nSpeaker B: 00:07-00:13, 00:20-00:27, 00:34-00:43, 00:48-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--328835.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:23-00:31, 00:46-00:54\nSpeaker B: 00:14-00:30, 00:32-00:46, 00:55-01:04"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1051089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:12, 00:18-00:24, 00:31-00:36, 00:39-00:42, 00:46-00:56\nSpeaker B: 00:02-00:12, 00:13-00:18, 00:25-00:30, 00:36-00:38, 00:42-00:46, 00:56-01:01"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--324306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:07, 00:09-00:19, 00:28-00:34\nSpeaker B: 00:02-00:10, 00:08-00:09, 00:20-00:27"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--271652.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:05, 00:17-00:19, 00:25-00:31\nSpeaker B: 00:02-00:10, 00:06-00:17, 00:20-00:24, 00:31-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--925277.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:13-00:21, 00:31-00:39, 00:50-00:59\nSpeaker B: 00:07-00:18, 00:21-00:30, 00:39-00:50, 00:59-01:10"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--692789.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:09-00:25, 00:23-00:30, 00:44-00:53\nSpeaker B: 00:06-00:09, 00:18-00:23, 00:30-00:43, 00:53-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1041859.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:22, 00:21-00:40, 00:48-00:52, 00:56-00:57\nSpeaker B: 00:02-00:04, 00:10-00:20, 00:38-00:48, 00:52-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--679971.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:17, 00:13-00:18, 00:23-00:26, 00:30-00:32\nSpeaker B: 00:01-00:03, 00:07-00:13, 00:18-00:23, 00:26-00:29, 00:32-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:10-00:27, 00:37-00:46, 00:55-00:59, 01:07-01:12\nSpeaker B: 00:05-00:10, 00:28-00:37, 00:46-00:55, 00:59-01:06"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--218634.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:21, 00:19-00:38\nSpeaker B: 00:11-00:18, 00:40-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--766234.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:14, 00:18-00:34, 00:31-00:43, 00:43-00:44, 00:48-00:54, 01:02-01:10\nSpeaker B: 00:03-00:05, 00:15-00:18, 00:26-00:31, 00:45-00:48, 00:54-01:02, 01:10-01:12"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--412246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:11, 00:19-00:23, 00:29-00:38, 00:44-00:52, 00:56-01:01\nSpeaker B: 00:02-00:11, 00:12-00:19, 00:24-00:28, 00:39-00:44, 00:52-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--181032.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:15, 00:10-00:26, 00:28-00:33\nSpeaker B: 00:02-00:03, 00:07-00:10, 00:25-00:28, 00:33-00:36"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--774546.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:13-00:22, 00:26-00:33, 00:52-00:59, 01:09-01:13, 01:22-01:26\nSpeaker B: 00:07-00:13, 00:23-00:26, 00:33-00:52, 00:59-01:09, 01:13-01:22"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--587173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:17, 00:15-00:25, 00:29-00:33, 00:47-00:51, 00:58-01:01, 01:05-01:08, 01:11-01:14\nSpeaker B: 00:02-00:05, 00:10-00:14, 00:25-00:28, 00:34-00:46, 00:52-00:57, 01:02-01:04, 01:09-01:11, 01:14-01:20"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--286623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:20, 00:17-00:22, 00:27-00:31, 00:38-00:40, 00:46-00:48\nSpeaker B: 00:05-00:06, 00:11-00:17, 00:22-00:26, 00:31-00:38, 00:40-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--109428.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:16, 00:12-00:21, 00:25-00:36, 00:42-00:49\nSpeaker B: 00:02-00:04, 00:07-00:12, 00:22-00:25, 00:37-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--144310.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:14, 00:13-00:20, 00:28-00:32, 00:39-00:42\nSpeaker B: 00:01-00:03, 00:08-00:13, 00:21-00:27, 00:33-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1030006.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:10-00:17, 00:24-00:30, 00:38-00:40\nSpeaker B: 00:06-00:16, 00:18-00:24, 00:30-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1108323.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:07-00:13, 00:21-00:28, 00:36-00:37, 00:44-00:47\nSpeaker B: 00:05-00:07, 00:13-00:21, 00:29-00:35, 00:37-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--295395.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:19, 00:21-00:26, 00:34-00:40\nSpeaker B: 00:03-00:07, 00:13-00:20, 00:26-00:33, 00:41-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--805432.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:20, 00:21-00:44, 00:48-01:00\nSpeaker B: 00:14-00:21, 00:42-00:48, 01:01-01:03"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--962210.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:22, 00:21-00:40, 00:46-00:49, 00:51-00:55\nSpeaker B: 00:03-00:07, 00:13-00:21, 00:42-00:45, 00:49-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--78189.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:09, 00:14-00:20, 00:28-00:33\nSpeaker B: 00:03-00:05, 00:09-00:22, 00:21-00:27, 00:33-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--43736.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:09-00:18, 00:28-00:35, 00:41-00:43\nSpeaker B: 00:03-00:09, 00:18-00:27, 00:35-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--221358.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:25, 00:25-00:35, 00:58-01:06\nSpeaker B: 00:03-00:06, 00:18-00:25, 00:36-00:58, 01:06-01:08"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--500115.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:11, 00:09-00:20, 00:30-00:35\nSpeaker B: 00:01-00:02, 00:05-00:09, 00:21-00:28"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--635774.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:21, 00:22-00:31\nSpeaker B: 00:02-00:06, 00:12-00:21, 00:32-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--385362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:11-00:24, 00:28-00:31, 00:41-00:50\nSpeaker B: 00:04-00:18, 00:24-00:28, 00:32-00:40, 00:51-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--932576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:08, 00:10-00:14, 00:15-00:29, 00:24-00:27, 00:30-00:33\nSpeaker B: 00:03-00:06, 00:08-00:10, 00:14-00:14, 00:21-00:23, 00:28-00:29"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--565509.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:12-00:19, 00:25-00:27, 00:45-00:54, 01:11-01:16\nSpeaker B: 00:07-00:20, 00:20-00:25, 00:28-00:45, 00:54-01:11"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--301485.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:19, 00:16-00:24, 00:32-00:38\nSpeaker B: 00:01-00:04, 00:12-00:15, 00:25-00:31, 00:38-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1074077.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:10, 00:18-00:23, 00:26-00:31, 00:33-00:37\nSpeaker B: 00:02-00:09, 00:10-00:18, 00:23-00:25, 00:32-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--375003.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:26, 00:24-00:40, 00:48-01:06, 01:17-01:21, 01:25-01:26\nSpeaker B: 00:05-00:08, 00:17-00:24, 00:40-00:48, 01:07-01:17, 01:22-01:25"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--244490.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:20, 00:15-00:25, 00:28-00:33, 00:35-00:39, 00:42-01:00, 01:04-01:13, 01:25-01:28\nSpeaker B: 00:13-00:15, 00:26-00:27, 00:33-00:35, 00:39-00:42, 01:01-01:04, 01:14-01:25"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--605749.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:11, 00:15-00:33, 00:29-00:41, 00:45-00:50\nSpeaker B: 00:02-00:06, 00:12-00:15, 00:25-00:29, 00:41-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--845126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:18, 00:13-00:19, 00:23-00:29, 00:42-00:50\nSpeaker B: 00:03-00:05, 00:10-00:13, 00:20-00:23, 00:29-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1020087.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:14, 00:22-00:35, 00:40-00:44\nSpeaker B: 00:02-00:12, 00:14-00:22, 00:36-00:40, 00:45-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--915430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:09-00:18, 00:34-00:41\nSpeaker B: 00:03-00:08, 00:18-00:32, 00:41-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--32633.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:12-00:19, 00:23-00:42, 00:34-00:48, 01:04-01:12\nSpeaker B: 00:06-00:11, 00:19-00:22, 00:31-00:34, 00:48-01:03, 01:12-01:15"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--76986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:22, 00:20-00:25, 00:30-00:34, 00:49-00:50\nSpeaker B: 00:13-00:20, 00:25-00:29, 00:35-00:48, 00:51-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--535550.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:09, 00:13-00:38, 00:36-00:44, 00:49-01:09, 01:13-01:20\nSpeaker B: 00:03-00:05, 00:10-00:12, 00:31-00:35, 00:45-00:49, 01:10-01:13"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--152375.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:12-00:18, 00:27-00:31, 00:47-00:52\nSpeaker B: 00:06-00:19, 00:18-00:26, 00:31-00:46, 00:53-01:00"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--109817.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:14, 00:19-00:27, 00:39-00:49, 00:55-01:01\nSpeaker B: 00:03-00:15, 00:15-00:19, 00:27-00:37, 00:50-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--101351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:11, 00:16-00:30, 00:35-00:40\nSpeaker B: 00:02-00:12, 00:11-00:16, 00:29-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--930750.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:09, 00:16-00:17, 00:23-00:29, 00:35-00:36\nSpeaker B: 00:03-00:13, 00:09-00:15, 00:18-00:23, 00:30-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--19531.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:09, 00:14-00:25, 00:29-00:31\nSpeaker B: 00:02-00:11, 00:10-00:13, 00:25-00:28"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--767328.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:18, 00:17-00:37\nSpeaker B: 00:10-00:17, 00:38-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1055385.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:09-00:15, 00:21-00:31, 00:38-00:47\nSpeaker B: 00:07-00:09, 00:16-00:21, 00:31-00:37, 00:47-00:49"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1168213.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:11, 00:15-00:24, 00:28-00:33, 00:36-00:43\nSpeaker B: 00:04-00:05, 00:11-00:21, 00:24-00:27, 00:33-00:36, 00:43-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1087984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:13-00:26, 00:33-00:36, 00:44-00:46\nSpeaker B: 00:07-00:13, 00:26-00:32, 00:36-00:44, 00:47-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--403051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:11, 00:17-00:21, 00:25-00:36, 00:42-00:48\nSpeaker B: 00:05-00:07, 00:11-00:23, 00:21-00:25, 00:37-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--782660.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:15-00:37, 00:42-00:47, 00:50-00:55\nSpeaker B: 00:07-00:14, 00:38-00:42, 00:48-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--489920.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:07, 00:09-00:23, 00:19-00:27, 00:32-00:47, 00:54-01:01, 01:08-01:12\nSpeaker B: 00:03-00:03, 00:07-00:09, 00:15-00:19, 00:27-00:31, 00:48-00:54, 01:01-01:08"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--990528.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:19, 00:17-00:23, 00:38-00:46, 00:51-00:53\nSpeaker B: 00:10-00:16, 00:23-00:35, 00:46-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1092370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:01-00:03, 00:06-00:07, 00:11-00:28, 00:24-00:38, 00:43-00:50\nSpeaker B: 00:00-00:01, 00:03-00:05, 00:08-00:11, 00:19-00:23, 00:38-00:43"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--82238.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:14-00:26, 00:34-00:46, 00:51-00:54\nSpeaker B: 00:07-00:22, 00:26-00:33, 00:46-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--206574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:15-00:24, 00:42-00:50\nSpeaker B: 00:08-00:15, 00:25-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--737676.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:15-00:17, 00:34-00:39, 00:48-00:50\nSpeaker B: 00:07-00:15, 00:18-00:33, 00:40-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--660884.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:12-00:21, 00:27-00:36, 00:39-00:48\nSpeaker B: 00:04-00:12, 00:21-00:27, 00:36-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1080342.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:17, 00:25-00:39\nSpeaker B: 00:04-00:16, 00:18-00:25, 00:39-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--24058.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:16-00:32\nSpeaker B: 00:07-00:16, 00:33-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--202914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:08-00:19, 00:30-00:32, 00:38-00:47, 00:52-00:57\nSpeaker B: 00:04-00:07, 00:19-00:29, 00:32-00:38, 00:47-00:52, 00:57-01:01"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--73764.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:20, 00:17-00:28, 00:34-00:48, 00:53-01:00, 01:04-01:10\nSpeaker B: 00:03-00:06, 00:11-00:16, 00:28-00:33, 00:49-00:53, 01:01-01:04"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--471264.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:09, 00:13-00:20, 00:26-00:31, 00:34-00:37\nSpeaker B: 00:02-00:05, 00:09-00:19, 00:20-00:26, 00:32-00:34, 00:38-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1101616.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:14-00:32, 00:26-00:45, 00:53-01:03\nSpeaker B: 00:09-00:14, 00:22-00:26, 00:46-00:53, 01:04-01:10"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--511668.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:08-00:21, 00:29-00:45\nSpeaker B: 00:03-00:07, 00:22-00:28, 00:45-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--927063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:07-00:18, 00:21-00:29, 00:33-00:43, 00:51-01:00, 01:08-01:11\nSpeaker B: 00:06-00:07, 00:19-00:20, 00:30-00:41, 00:44-00:50, 01:00-01:08, 01:11-01:14"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--831005.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:15-00:26, 00:49-00:57\nSpeaker B: 00:04-00:24, 00:26-00:48, 00:57-01:01"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--562877.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:10-00:18, 00:24-00:35, 00:44-00:55\nSpeaker B: 00:04-00:10, 00:19-00:23, 00:36-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--437038.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:08-00:16, 00:20-00:22, 00:25-00:29, 00:33-00:43\nSpeaker B: 00:01-00:07, 00:16-00:19, 00:22-00:25, 00:30-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--42187.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:21, 00:19-00:34\nSpeaker B: 00:03-00:08, 00:14-00:19, 00:34-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--226853.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:09-00:14, 00:20-00:29, 00:36-00:44\nSpeaker B: 00:07-00:15, 00:14-00:20, 00:29-00:36, 00:44-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--299895.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:13-00:19, 00:38-00:42, 00:47-00:49\nSpeaker B: 00:08-00:12, 00:20-00:35, 00:43-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--690063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:14, 00:25-00:29, 00:32-00:38, 00:40-00:42, 00:45-00:49\nSpeaker B: 00:04-00:13, 00:15-00:24, 00:29-00:32, 00:38-00:39, 00:43-00:44, 00:49-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--748910.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:08, 00:11-00:24, 00:21-00:28, 00:33-00:46, 00:53-01:00\nSpeaker B: 00:02-00:04, 00:09-00:10, 00:17-00:21, 00:28-00:32, 00:46-00:52"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--153526.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:09, 00:13-00:33, 00:29-00:34, 00:39-00:42, 00:46-00:53, 01:01-01:04\nSpeaker B: 00:03-00:05, 00:09-00:13, 00:23-00:28, 00:34-00:38, 00:43-00:45, 00:53-01:00"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--655306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:09-00:13, 00:19-00:26, 00:33-00:39\nSpeaker B: 00:03-00:09, 00:13-00:18, 00:26-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--475793.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:03-00:06, 00:07-00:09, 00:11-00:15, 00:21-00:25, 00:38-00:45, 00:48-00:52, 00:57-01:03\nSpeaker B: 00:02-00:03, 00:06-00:07, 00:10-00:11, 00:15-00:26, 00:26-00:38, 00:45-00:47, 00:52-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--449068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:10-00:16, 00:31-00:39\nSpeaker B: 00:03-00:10, 00:16-00:31, 00:39-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--258280.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:10, 00:19-00:24, 00:37-00:44\nSpeaker B: 00:02-00:13, 00:11-00:18, 00:25-00:36, 00:44-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--346041.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:15, 00:09-00:17, 00:20-00:41, 00:44-00:52, 00:57-01:04\nSpeaker B: 00:02-00:03, 00:06-00:08, 00:17-00:20, 00:42-00:44, 00:53-00:57, 01:05-01:09"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--894199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:11-00:26\nSpeaker B: 00:07-00:11, 00:28-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--277828.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:22, 00:24-00:28\nSpeaker B: 00:02-00:04, 00:16-00:23, 00:29-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--604536.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:13, 00:10-00:14, 00:19-00:24\nSpeaker B: 00:02-00:03, 00:05-00:10, 00:15-00:19, 00:25-00:31"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--76363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:19, 00:17-00:45, 00:53-01:05, 01:10-01:12\nSpeaker B: 00:01-00:03, 00:10-00:16, 00:47-00:52, 01:06-01:10"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--214621.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:05-00:12, 00:27-00:38\nSpeaker B: 00:03-00:05, 00:12-00:26, 00:39-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--246434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:08, 00:10-00:18, 00:20-00:27, 00:32-00:39\nSpeaker B: 00:02-00:05, 00:08-00:17, 00:18-00:20, 00:28-00:31"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1174912.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:12-00:19, 00:36-00:56, 01:08-01:16\nSpeaker B: 00:05-00:12, 00:20-00:35, 00:45-01:07"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--934782.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:11-00:18, 00:22-00:30, 00:37-00:40, 00:42-00:46, 00:49-00:58, 01:04-01:10\nSpeaker B: 00:07-00:11, 00:18-00:28, 00:30-00:37, 00:40-00:42, 00:47-00:49, 00:59-01:04, 01:10-01:16"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--868975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:13-00:16, 00:32-00:41\nSpeaker B: 00:08-00:12, 00:17-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--159547.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:12, 00:28-00:33, 00:38-00:41\nSpeaker B: 00:03-00:14, 00:13-00:27, 00:33-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--217814.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:22-00:46, 00:55-01:10\nSpeaker B: 00:15-00:22, 00:46-01:07"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--578559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:06, 00:11-00:16, 00:20-00:24, 00:40-00:45\nSpeaker B: 00:02-00:03, 00:06-00:17, 00:16-00:19, 00:25-00:39, 00:46-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--70224.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:21, 00:19-00:29, 00:34-00:37\nSpeaker B: 00:05-00:08, 00:13-00:18, 00:30-00:33, 00:38-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--603030.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:10-00:25, 00:24-00:34, 00:38-00:46, 00:52-00:55, 01:01-01:03\nSpeaker B: 00:07-00:09, 00:16-00:24, 00:35-00:37, 00:46-00:51, 00:55-01:01"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--228608.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:11-00:29, 00:29-00:32, 00:37-00:52\nSpeaker B: 00:08-00:11, 00:23-00:28, 00:33-00:37, 00:52-00:57"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1004891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:06, 00:10-00:17, 00:23-00:29, 00:34-00:37\nSpeaker B: 00:01-00:04, 00:06-00:17, 00:17-00:23, 00:30-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--415948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:18, 00:14-00:17, 00:21-00:23, 00:27-00:32, 00:38-00:40\nSpeaker B: 00:03-00:04, 00:09-00:14, 00:17-00:21, 00:24-00:26, 00:32-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1084325.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:18, 00:14-00:31, 00:41-00:54\nSpeaker B: 00:08-00:14, 00:32-00:41, 00:55-00:57"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--742899.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:10-00:18, 00:24-00:33\nSpeaker B: 00:04-00:10, 00:18-00:24, 00:33-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--169891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:09-00:14, 00:23-00:35, 00:48-00:55, 01:00-01:09, 01:13-01:17\nSpeaker B: 00:03-00:09, 00:15-00:22, 00:35-00:48, 00:56-01:00, 01:09-01:12"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--123906.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:08-00:16, 00:30-00:34\nSpeaker B: 00:03-00:08, 00:17-00:29"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--372789.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:24, 00:23-00:44, 00:48-00:57\nSpeaker B: 00:02-00:07, 00:16-00:23, 00:45-00:48, 00:58-01:02"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--65045.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:11-00:20, 00:25-00:34, 00:41-00:45\nSpeaker B: 00:04-00:18, 00:21-00:25, 00:35-00:41, 00:45-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--104984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:13-00:18, 00:22-00:25, 00:31-00:37, 00:41-00:42\nSpeaker B: 00:01-00:03, 00:09-00:20, 00:18-00:22, 00:25-00:30, 00:38-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--231370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:13-00:19, 00:29-00:35, 00:42-00:45\nSpeaker B: 00:07-00:19, 00:20-00:28, 00:35-00:42, 00:46-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--619961.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:10, 00:19-00:29\nSpeaker B: 00:02-00:06, 00:10-00:25, 00:29-00:43"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--378283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:21, 00:16-00:30, 00:37-00:50\nSpeaker B: 00:03-00:05, 00:10-00:16, 00:30-00:36"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--55746.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:12-00:21, 00:36-00:40\nSpeaker B: 00:05-00:19, 00:22-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--63072.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:13-00:18, 00:25-00:36, 00:32-00:34\nSpeaker B: 00:07-00:12, 00:19-00:25, 00:29-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--84371.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:09-00:34, 00:41-00:45, 00:51-00:55\nSpeaker B: 00:06-00:09, 00:34-00:41, 00:46-00:51, 00:56-01:02"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--581770.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:17, 00:29-00:37\nSpeaker B: 00:04-00:19, 00:18-00:28, 00:37-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--748077.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:11-00:19, 00:27-00:34, 00:42-00:46, 00:55-00:56\nSpeaker B: 00:06-00:10, 00:20-00:26, 00:35-00:42, 00:46-00:54, 00:57-00:59"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--494198.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:12-00:14, 00:18-00:23, 00:37-00:42, 00:56-01:03\nSpeaker B: 00:05-00:12, 00:14-00:26, 00:24-00:37, 00:42-00:56, 01:03-01:18"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--484021.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:10, 00:17-00:24, 00:34-00:35, 00:39-00:52, 00:52-01:03, 01:08-01:11, 01:15-01:17\nSpeaker B: 00:04-00:07, 00:11-00:16, 00:25-00:34, 00:36-00:39, 00:45-00:52, 01:03-01:07, 01:12-01:14, 01:17-01:20"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--873625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:13, 00:21-00:36, 00:42-00:47, 00:55-01:02\nSpeaker B: 00:02-00:13, 00:14-00:20, 00:36-00:41, 00:48-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1050427.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:08-00:14, 00:23-00:43, 00:51-01:03\nSpeaker B: 00:03-00:08, 00:14-00:23, 00:44-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--956648.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:15, 00:15-00:25\nSpeaker B: 00:01-00:03, 00:07-00:14, 00:26-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--671614.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:09, 00:18-00:24, 00:38-00:45, 00:59-01:05, 01:15-01:20\nSpeaker B: 00:03-00:04, 00:10-00:27, 00:25-00:37, 00:46-00:59, 01:05-01:14"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1113674.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:11, 00:32-00:40, 00:55-01:02\nSpeaker B: 00:02-00:05, 00:12-00:43, 00:41-00:55, 01:02-01:12"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--47850.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:09-00:24, 00:20-00:26, 00:32-00:41, 00:46-00:53, 00:56-01:03\nSpeaker B: 00:03-00:08, 00:15-00:19, 00:27-00:31, 00:41-00:46, 00:53-00:56, 01:03-01:05"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--790538.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:07, 00:13-00:20, 00:26-00:29, 00:34-00:39\nSpeaker B: 00:01-00:03, 00:08-00:20, 00:21-00:26, 00:29-00:33, 00:39-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--900948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:09-00:25, 00:23-00:35, 00:41-00:51\nSpeaker B: 00:06-00:09, 00:19-00:23, 00:36-00:41, 00:52-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--698246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:17, 00:14-00:25, 00:30-00:39, 00:46-00:50\nSpeaker B: 00:03-00:04, 00:10-00:13, 00:25-00:30, 00:40-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--896752.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:20, 00:15-00:17, 00:20-00:23, 00:39-00:47, 00:49-00:51\nSpeaker B: 00:02-00:02, 00:12-00:15, 00:17-00:19, 00:23-00:39, 00:48-00:49, 00:51-00:52"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--33171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:09-00:19, 00:14-00:21, 00:29-00:35, 00:41-00:48\nSpeaker B: 00:07-00:09, 00:12-00:14, 00:21-00:28, 00:36-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--61606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:14, 00:12-00:17, 00:21-00:33, 00:37-00:42\nSpeaker B: 00:02-00:03, 00:08-00:11, 00:18-00:21, 00:34-00:37, 00:43-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--538753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:02-00:04, 00:07-00:08, 00:12-00:25, 00:21-00:28, 00:34-00:39\nSpeaker B: 00:01-00:02, 00:04-00:07, 00:09-00:12, 00:15-00:21, 00:29-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--456190.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:15-00:20, 00:30-00:44\nSpeaker B: 00:05-00:22, 00:20-00:30, 00:44-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1007416.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:22-00:29, 00:53-01:05\nSpeaker B: 00:10-00:31, 00:29-00:52"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--875462.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:06, 00:12-00:20, 00:26-00:52, 00:57-01:06\nSpeaker B: 00:02-00:04, 00:07-00:21, 00:21-00:26, 00:53-00:57"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1007617.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:17, 00:15-00:18, 00:27-00:35, 00:41-00:47\nSpeaker B: 00:02-00:05, 00:09-00:14, 00:19-00:27, 00:36-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--221517.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:15-00:43, 00:50-01:06\nSpeaker B: 00:08-00:15, 00:43-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1070688.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:16, 00:23-00:31, 00:40-00:45, 00:53-00:55\nSpeaker B: 00:04-00:14, 00:16-00:23, 00:31-00:39, 00:46-00:53, 00:56-00:57"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--241883.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:13, 00:11-00:15, 00:21-00:31, 00:35-00:45, 00:51-01:02, 01:10-01:14\nSpeaker B: 00:01-00:04, 00:06-00:11, 00:15-00:20, 00:31-00:35, 00:45-00:50, 01:02-01:10"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1087723.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:19, 00:24-00:38\nSpeaker B: 00:12-00:23, 00:39-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--631363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:09, 00:12-00:26, 00:23-00:36\nSpeaker B: 00:02-00:06, 00:09-00:12, 00:18-00:22, 00:36-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--906513.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:25, 00:17-00:26, 00:31-00:37, 00:41-00:48, 00:55-00:58\nSpeaker B: 00:05-00:06, 00:12-00:17, 00:26-00:30, 00:37-00:41, 00:48-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--860576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:21, 00:17-00:30, 00:35-00:41, 00:46-00:50\nSpeaker B: 00:02-00:05, 00:12-00:17, 00:31-00:35, 00:41-00:46, 00:51-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--717045.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:08, 00:14-00:30\nSpeaker B: 00:03-00:15, 00:08-00:14, 00:31-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1182226.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:12, 00:16-00:19, 00:25-00:33\nSpeaker B: 00:02-00:11, 00:13-00:16, 00:20-00:25, 00:33-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--559369.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:18, 00:14-00:23, 00:26-00:51, 00:58-01:15\nSpeaker B: 00:03-00:05, 00:08-00:13, 00:24-00:25, 00:51-00:58"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--580598.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:11-00:23, 00:26-00:31, 00:42-00:47, 00:52-01:01\nSpeaker B: 00:05-00:19, 00:24-00:26, 00:32-00:42, 00:47-00:51, 01:02-01:05"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--961025.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:16, 00:13-00:22, 00:28-00:34\nSpeaker B: 00:03-00:05, 00:08-00:12, 00:23-00:28, 00:34-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--605295.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:15, 00:13-00:25, 00:31-00:33\nSpeaker B: 00:02-00:04, 00:08-00:12, 00:26-00:31"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--404560.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:11-00:30, 00:27-00:46, 00:54-01:05\nSpeaker B: 00:07-00:11, 00:20-00:26, 00:47-00:54, 01:06-01:07"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--906269.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:14, 00:19-00:25\nSpeaker B: 00:03-00:14, 00:14-00:18, 00:26-00:31"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--322068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:13-00:16, 00:22-00:43, 00:50-00:56, 01:02-01:05\nSpeaker B: 00:07-00:12, 00:17-00:22, 00:43-00:49, 00:56-01:02, 01:05-01:07"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--366333.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:09-00:16, 00:38-00:44, 00:50-00:55, 01:12-01:22\nSpeaker B: 00:03-00:15, 00:16-00:38, 00:45-00:49, 00:55-01:12"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--606362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:16, 00:21-00:29, 00:39-00:48, 00:57-00:58\nSpeaker B: 00:03-00:18, 00:16-00:21, 00:29-00:38, 00:48-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--258272.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:14-00:26, 00:34-00:46\nSpeaker B: 00:10-00:13, 00:27-00:33, 00:46-00:57"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--41171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:05-00:07, 00:09-00:26, 00:31-00:39\nSpeaker B: 00:03-00:04, 00:08-00:09, 00:26-00:31, 00:40-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--490986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:23, 00:22-00:27, 00:42-00:48\nSpeaker B: 00:04-00:05, 00:15-00:21, 00:27-00:40, 00:48-00:52"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--934119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:09-00:18, 00:24-00:28\nSpeaker B: 00:04-00:09, 00:18-00:23, 00:29-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--331396.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:19, 00:24-00:31, 00:40-00:49, 00:55-01:02\nSpeaker B: 00:01-00:04, 00:13-00:24, 00:32-00:40, 00:49-00:54, 01:03-01:10"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1107765.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:15, 00:28-00:30, 00:37-00:45\nSpeaker B: 00:04-00:16, 00:16-00:27, 00:31-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--596356.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:21, 00:16-00:33, 00:38-00:49\nSpeaker B: 00:12-00:16, 00:33-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1131334.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:13-00:18, 00:22-00:25, 00:29-00:46, 00:42-00:51\nSpeaker B: 00:02-00:04, 00:08-00:12, 00:18-00:22, 00:25-00:29, 00:38-00:41, 00:52-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--191104.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:19, 00:18-00:27, 00:39-00:45, 00:53-00:56\nSpeaker B: 00:03-00:04, 00:10-00:18, 00:27-00:39, 00:45-00:52, 00:57-01:00"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1088159.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:16, 00:13-00:18, 00:26-00:30\nSpeaker B: 00:04-00:05, 00:08-00:12, 00:18-00:25, 00:31-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--935998.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:17, 00:28-00:46, 00:50-01:05, 01:14-01:23\nSpeaker B: 00:05-00:15, 00:17-00:28, 00:46-00:49, 01:06-01:14, 01:23-01:28"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--201044.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:13, 00:21-00:32, 00:39-00:46\nSpeaker B: 00:01-00:13, 00:14-00:21, 00:32-00:39, 00:46-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1020192.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:10-00:21, 00:31-00:42, 00:53-01:00\nSpeaker B: 00:03-00:21, 00:22-00:31, 00:43-00:52"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--680740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:09, 00:15-00:21, 00:31-00:38\nSpeaker B: 00:04-00:07, 00:10-00:21, 00:21-00:31, 00:38-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1013581.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:04-00:19, 00:20-00:41, 00:52-01:02\nSpeaker B: 00:00-00:04, 00:10-00:19, 00:43-00:52"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--327822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:16, 00:08-00:17, 00:24-00:29, 00:33-00:37\nSpeaker B: 00:04-00:08, 00:17-00:23, 00:30-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--125527.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:19, 00:19-00:28\nSpeaker B: 00:03-00:04, 00:12-00:19, 00:29-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--578986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:08, 00:14-00:21, 00:31-00:41\nSpeaker B: 00:03-00:05, 00:08-00:22, 00:21-00:30"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--932676.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:09, 00:14-00:19, 00:28-00:35, 00:40-00:47, 00:55-00:56\nSpeaker B: 00:03-00:06, 00:10-00:22, 00:20-00:27, 00:35-00:40, 00:48-00:55, 00:57-01:00"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--105890.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:14, 00:26-00:30, 00:39-00:45, 00:54-00:56\nSpeaker B: 00:04-00:12, 00:14-00:26, 00:30-00:39, 00:45-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--132857.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:10-00:24, 00:34-00:37, 00:45-00:50\nSpeaker B: 00:04-00:10, 00:25-00:34, 00:38-00:45, 00:51-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--714054.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:13-00:33, 00:35-00:40\nSpeaker B: 00:05-00:12, 00:34-00:34, 00:41-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--4814.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:07, 00:11-00:30, 00:49-01:05\nSpeaker B: 00:07-00:10, 00:30-00:59, 01:05-01:10"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--168398.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:07-00:12, 00:16-00:21, 00:28-00:33\nSpeaker B: 00:02-00:13, 00:12-00:15, 00:22-00:27, 00:33-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--188315.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:12, 00:26-00:30\nSpeaker B: 00:03-00:14, 00:12-00:25, 00:31-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--726133.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:03-00:13, 00:12-00:27, 00:35-00:46, 00:51-01:05\nSpeaker B: 00:01-00:02, 00:06-00:12, 00:27-00:35, 00:46-00:51, 01:05-01:07"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--186110.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:08, 00:16-00:18, 00:29-00:33, 00:46-00:53, 00:58-01:10\nSpeaker B: 00:02-00:05, 00:08-00:21, 00:19-00:28, 00:34-00:47, 00:53-00:58, 01:10-01:12"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1146016.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:14, 00:27-00:32\nSpeaker B: 00:04-00:13, 00:15-00:27, 00:33-00:36"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--672051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:19, 00:13-00:29, 00:36-00:41\nSpeaker B: 00:02-00:04, 00:08-00:12, 00:30-00:36"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--287169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:08-00:13, 00:18-00:31\nSpeaker B: 00:03-00:08, 00:13-00:18, 00:29-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--588465.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:09, 00:16-00:20, 00:29-00:33, 00:37-00:40, 00:46-00:47\nSpeaker B: 00:03-00:05, 00:09-00:15, 00:20-00:28, 00:33-00:42, 00:41-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--366989.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:24, 00:18-00:29, 00:34-00:47, 00:50-00:53\nSpeaker B: 00:05-00:07, 00:14-00:18, 00:29-00:33, 00:48-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1011922.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:18, 00:19-00:33\nSpeaker B: 00:03-00:07, 00:12-00:18, 00:34-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--662948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:20, 00:18-00:27, 00:32-00:43, 00:48-00:54, 00:57-01:01, 01:07-01:12\nSpeaker B: 00:04-00:07, 00:13-00:17, 00:27-00:31, 00:43-00:48, 00:55-00:57, 01:02-01:06"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--946489.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:12, 00:31-00:38\nSpeaker B: 00:03-00:14, 00:12-00:31, 00:38-00:43"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1188975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:22, 00:19-00:37\nSpeaker B: 00:12-00:19, 00:37-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--282928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:07-00:20, 00:31-00:41, 00:49-00:55, 01:02-01:09\nSpeaker B: 00:04-00:07, 00:20-00:29, 00:41-00:49, 00:55-01:01, 01:09-01:11"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--520823.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:12, 00:20-00:29\nSpeaker B: 00:03-00:13, 00:12-00:20, 00:30-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1083511.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:11, 00:28-00:32, 00:41-00:43, 00:48-00:52, 00:55-00:58\nSpeaker B: 00:04-00:16, 00:11-00:26, 00:32-00:41, 00:44-00:48, 00:52-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--435477.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:05, 00:08-00:11, 00:15-00:19, 00:25-00:31, 00:36-00:39\nSpeaker B: 00:01-00:03, 00:06-00:14, 00:12-00:14, 00:19-00:25, 00:31-00:36, 00:39-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--406352.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:19, 00:17-00:37, 00:43-01:02\nSpeaker B: 00:11-00:17, 00:38-00:43"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1066203.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:11, 00:15-00:19, 00:27-00:32, 00:40-00:43, 00:45-00:50, 00:53-01:04\nSpeaker B: 00:03-00:06, 00:11-00:14, 00:20-00:37, 00:32-00:39, 00:43-00:44, 00:51-00:53, 01:04-01:10"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--28766.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:08, 00:15-00:20, 00:23-00:27, 00:30-00:34\nSpeaker B: 00:02-00:09, 00:08-00:14, 00:20-00:23, 00:28-00:29"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--317167.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:21, 00:20-00:32, 00:40-00:42\nSpeaker B: 00:03-00:05, 00:12-00:19, 00:33-00:40, 00:42-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--185307.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:19, 00:19-00:25, 00:30-00:35, 00:40-00:45, 00:51-00:55, 01:01-01:06\nSpeaker B: 00:02-00:06, 00:13-00:18, 00:25-00:29, 00:35-00:39, 00:45-00:50, 00:55-01:00, 01:06-01:12"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1028263.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:13-00:20, 00:27-00:45, 00:54-01:06\nSpeaker B: 00:06-00:12, 00:20-00:26, 00:45-00:54, 01:07-01:09"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--708040.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:22, 00:18-00:28, 00:32-00:54, 00:57-01:08\nSpeaker B: 00:03-00:04, 00:14-00:17, 00:28-00:32, 00:51-00:57"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--263928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:09, 00:15-00:20, 00:30-00:32, 00:41-00:46\nSpeaker B: 00:03-00:05, 00:10-00:24, 00:20-00:29, 00:33-00:40, 00:46-00:48"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1131940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:11, 00:19-00:23, 00:26-00:29\nSpeaker B: 00:02-00:12, 00:12-00:18, 00:24-00:25, 00:30-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--848051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:09, 00:13-00:16, 00:21-00:41, 00:35-00:44, 00:51-01:00\nSpeaker B: 00:04-00:06, 00:09-00:13, 00:16-00:20, 00:30-00:34, 00:45-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--645254.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:05-00:07, 00:11-00:13, 00:21-00:29, 00:39-00:47\nSpeaker B: 00:04-00:05, 00:07-00:18, 00:13-00:21, 00:29-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1182464.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:11-00:25, 00:34-00:38\nSpeaker B: 00:05-00:10, 00:26-00:33, 00:38-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--102351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:16, 00:15-00:21, 00:24-00:26, 00:28-00:41, 00:47-00:55, 00:59-01:09\nSpeaker B: 00:01-00:04, 00:08-00:14, 00:22-00:24, 00:26-00:28, 00:41-00:47, 00:56-00:58, 01:09-01:13"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--535368.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:07-00:24, 00:20-00:28, 00:33-00:37\nSpeaker B: 00:02-00:07, 00:15-00:19, 00:29-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--12295.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:11, 00:14-00:19, 00:24-00:30, 00:34-00:48, 00:55-00:59\nSpeaker B: 00:01-00:04, 00:11-00:20, 00:20-00:24, 00:31-00:34, 00:49-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--233562.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:11, 00:17-00:22, 00:25-00:34\nSpeaker B: 00:05-00:13, 00:12-00:16, 00:23-00:24, 00:34-00:36"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--104948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:19, 00:12-00:18, 00:30-00:41, 00:47-00:49\nSpeaker B: 00:03-00:04, 00:09-00:11, 00:19-00:30, 00:41-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--545009.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:00, 00:02-00:07, 00:12-00:17, 00:30-00:34, 00:41-00:44\nSpeaker B: 00:00-00:02, 00:08-00:20, 00:18-00:29, 00:35-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--923496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:08, 00:11-00:15, 00:24-00:30, 00:37-00:41\nSpeaker B: 00:01-00:03, 00:08-00:18, 00:16-00:24, 00:31-00:36, 00:42-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--466262.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:14-00:19, 00:36-00:41\nSpeaker B: 00:05-00:14, 00:20-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--81191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:21, 00:19-00:30, 00:39-00:44\nSpeaker B: 00:04-00:07, 00:13-00:18, 00:30-00:38, 00:45-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--524306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:07-00:12, 00:32-00:38, 00:47-00:57, 01:01-01:09, 01:16-01:22\nSpeaker B: 00:05-00:07, 00:13-00:32, 00:39-00:47, 00:57-01:01, 01:09-01:15"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1190867.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:16, 00:14-00:17, 00:21-00:22, 00:24-00:37, 00:42-00:50, 00:54-00:59\nSpeaker B: 00:01-00:03, 00:08-00:14, 00:18-00:20, 00:23-00:24, 00:37-00:42, 00:50-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--89079.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:20, 00:19-00:35, 00:48-00:57, 01:00-01:02\nSpeaker B: 00:12-00:19, 00:35-00:48, 00:57-01:00, 01:03-01:05"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--341205.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:09-00:16, 00:25-00:28, 00:36-00:42, 00:57-01:00\nSpeaker B: 00:06-00:15, 00:17-00:25, 00:29-00:36, 00:42-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--100933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:08, 00:10-00:28, 00:26-00:40, 00:43-00:46\nSpeaker B: 00:01-00:03, 00:08-00:09, 00:17-00:25, 00:40-00:43"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--420178.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:06-00:16, 00:15-00:20, 00:22-00:28, 00:34-00:36\nSpeaker B: 00:01-00:05, 00:09-00:13, 00:14-00:15, 00:20-00:22, 00:28-00:33, 00:36-00:37"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--481276.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:10-00:15, 00:24-00:31, 00:40-00:46\nSpeaker B: 00:05-00:10, 00:15-00:23, 00:31-00:39, 00:46-00:55"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--888611.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:19, 00:18-00:25, 00:28-00:33\nSpeaker B: 00:02-00:04, 00:11-00:17, 00:25-00:28, 00:33-00:36"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--14913.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:08-00:16, 00:22-00:28, 00:33-00:40, 00:44-00:50, 00:56-01:01\nSpeaker B: 00:04-00:08, 00:17-00:21, 00:29-00:32, 00:40-00:44, 00:51-00:55, 01:02-01:07"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--273875.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:11-00:19, 00:25-00:28\nSpeaker B: 00:05-00:11, 00:20-00:24, 00:29-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--385442.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:14, 00:27-00:36\nSpeaker B: 00:02-00:13, 00:14-00:26"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--477747.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:08-00:20, 00:24-00:29, 00:38-00:39, 00:57-01:02\nSpeaker B: 00:02-00:08, 00:13-00:23, 00:29-00:38, 00:39-00:57, 01:02-01:15"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--265976.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:21, 00:14-00:35\nSpeaker B: 00:05-00:06, 00:10-00:14, 00:36-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--489519.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:10-00:27, 00:25-00:33, 00:47-00:51\nSpeaker B: 00:07-00:09, 00:18-00:25, 00:33-00:46, 00:51-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--746047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:18, 00:20-00:32, 00:38-00:42\nSpeaker B: 00:05-00:15, 00:18-00:19, 00:32-00:37, 00:42-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1104244.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:10, 00:12-00:17, 00:21-00:34\nSpeaker B: 00:03-00:04, 00:10-00:19, 00:18-00:21, 00:34-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--269886.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:09-00:15, 00:21-00:24\nSpeaker B: 00:03-00:08, 00:16-00:20, 00:24-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--243573.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:13-00:21, 00:30-00:39\nSpeaker B: 00:07-00:13, 00:22-00:37, 00:39-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--508884.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:15-00:22, 00:32-00:39\nSpeaker B: 00:05-00:23, 00:23-00:31, 00:39-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1151383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:11-00:29, 00:40-01:01, 01:00-01:05\nSpeaker B: 00:05-00:10, 00:29-00:39, 00:53-01:00"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--137471.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:11-00:20, 00:31-00:41, 00:53-01:02\nSpeaker B: 00:06-00:17, 00:21-00:31, 00:41-00:53, 01:02-01:08"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--649949.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:14-00:18, 00:23-00:27, 00:36-00:42, 00:46-00:49\nSpeaker B: 00:10-00:14, 00:19-00:23, 00:28-00:36, 00:42-00:45, 00:50-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--233660.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:11-00:27, 00:33-00:36\nSpeaker B: 00:04-00:11, 00:26-00:32, 00:37-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--421624.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:10-00:29, 00:30-00:37\nSpeaker B: 00:01-00:03, 00:09-00:10, 00:22-00:30, 00:37-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--869501.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:09-00:14, 00:17-00:30, 00:34-00:39\nSpeaker B: 00:05-00:17, 00:15-00:17, 00:29-00:33, 00:39-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1166623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:10, 00:12-00:20, 00:29-00:30, 00:38-00:43\nSpeaker B: 00:01-00:04, 00:11-00:19, 00:21-00:28, 00:30-00:37, 00:43-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--203528.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:16-00:35, 00:48-01:00, 01:05-01:14\nSpeaker B: 00:06-00:16, 00:36-00:47, 01:01-01:05, 01:14-01:17"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--627283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:22-00:47, 00:59-01:16\nSpeaker B: 00:08-00:21, 00:48-00:59"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--737726.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:11-00:14, 00:19-00:21, 00:33-00:40, 00:58-01:02\nSpeaker B: 00:05-00:10, 00:15-00:18, 00:21-00:33, 00:40-00:58"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--776571.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:09, 00:11-00:25, 00:23-00:36, 00:42-00:44, 00:48-00:53\nSpeaker B: 00:05-00:08, 00:09-00:11, 00:17-00:22, 00:36-00:41, 00:45-00:48, 00:54-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--211161.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:15-00:33, 00:34-00:45, 00:53-01:02\nSpeaker B: 00:07-00:15, 00:25-00:33, 00:45-00:53, 01:03-01:04"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--974933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:08-00:15, 00:20-00:26, 00:29-00:39, 00:45-00:56\nSpeaker B: 00:03-00:07, 00:16-00:20, 00:27-00:29, 00:40-00:45, 00:57-00:59"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--277060.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:18, 00:17-00:35, 00:49-01:06, 01:12-01:24\nSpeaker B: 00:08-00:16, 00:36-00:47, 01:06-01:12"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--322914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:08-00:14, 00:19-00:35, 00:40-00:47\nSpeaker B: 00:04-00:17, 00:14-00:19, 00:35-00:40, 00:48-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--556060.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:21, 00:24-00:37, 00:43-00:56\nSpeaker B: 00:15-00:23, 00:36-00:43"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--815822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:08-00:16, 00:28-00:38\nSpeaker B: 00:06-00:15, 00:17-00:28, 00:38-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1122880.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:09-00:13, 00:17-00:21, 00:25-00:30, 00:36-00:42, 00:44-00:46\nSpeaker B: 00:02-00:14, 00:13-00:17, 00:21-00:25, 00:30-00:36, 00:42-00:43"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--338268.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:14, 00:11-00:18, 00:27-00:32\nSpeaker B: 00:07-00:10, 00:19-00:27"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--460378.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:11, 00:11-00:20, 00:28-00:34, 00:41-00:47, 00:54-01:05\nSpeaker B: 00:04-00:11, 00:21-00:27, 00:35-00:41, 00:47-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--667784.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:17, 00:12-00:25, 00:33-00:37, 00:40-00:43\nSpeaker B: 00:07-00:12, 00:28-00:33, 00:37-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--29858.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:13-00:30\nSpeaker B: 00:06-00:13, 00:31-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1186623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:13, 00:17-00:24, 00:29-00:32, 00:36-00:38\nSpeaker B: 00:02-00:15, 00:13-00:16, 00:24-00:28, 00:32-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--44625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:12, 00:20-00:26, 00:30-00:32, 00:37-00:44\nSpeaker B: 00:05-00:12, 00:13-00:20, 00:27-00:29, 00:32-00:36, 00:45-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--615914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:14, 00:17-00:20, 00:33-00:39\nSpeaker B: 00:04-00:18, 00:15-00:16, 00:20-00:33, 00:40-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--403013.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:11, 00:15-00:23, 00:29-00:35, 00:36-00:56, 01:03-01:06\nSpeaker B: 00:03-00:06, 00:12-00:20, 00:23-00:28, 00:35-00:36, 00:55-01:02"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--374749.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:10-00:17, 00:20-00:27, 00:37-00:45, 00:54-00:57, 01:00-01:08\nSpeaker B: 00:03-00:09, 00:17-00:20, 00:28-00:46, 00:45-00:54, 00:57-01:00, 01:08-01:18"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--209436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:09, 00:12-00:21, 00:29-00:39, 00:42-00:50, 00:57-01:03, 01:09-01:15\nSpeaker B: 00:04-00:04, 00:09-00:21, 00:21-00:28, 00:39-00:42, 00:50-00:57, 01:04-01:08, 01:16-01:21"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1047480.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:03-00:04, 00:08-00:19, 00:25-00:36\nSpeaker B: 00:02-00:03, 00:05-00:14, 00:19-00:25"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--343780.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:17, 00:13-00:15, 00:29-00:32\nSpeaker B: 00:03-00:05, 00:09-00:12, 00:16-00:26, 00:32-00:36"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--566903.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:07, 00:11-00:15, 00:27-00:32, 00:35-00:37\nSpeaker B: 00:02-00:11, 00:08-00:11, 00:15-00:26, 00:32-00:34, 00:37-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--399572.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:08-00:14, 00:18-00:22, 00:26-00:28\nSpeaker B: 00:03-00:16, 00:15-00:17, 00:23-00:25, 00:29-00:33"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--828152.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:08-00:17, 00:28-00:35\nSpeaker B: 00:03-00:15, 00:18-00:28, 00:35-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--338555.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:10-00:13, 00:18-00:30, 00:34-00:41\nSpeaker B: 00:06-00:10, 00:14-00:18, 00:30-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--82370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:15, 00:11-00:19, 00:25-00:29, 00:33-00:37\nSpeaker B: 00:02-00:05, 00:09-00:10, 00:20-00:24, 00:30-00:32, 00:37-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--453454.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:25, 00:26-00:31, 00:35-00:50, 00:57-01:05\nSpeaker B: 00:03-00:04, 00:18-00:25, 00:32-00:34, 00:50-00:56, 01:05-01:07"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--556505.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:15, 00:11-00:16, 00:29-00:37\nSpeaker B: 00:06-00:11, 00:16-00:27, 00:37-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--836018.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:24, 00:22-00:46, 00:51-01:10\nSpeaker B: 00:16-00:21, 00:46-00:50"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--472748.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:08-00:13, 00:20-00:22, 00:27-00:39\nSpeaker B: 00:04-00:08, 00:13-00:19, 00:23-00:26, 00:41-00:45"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1022590.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:10-00:23\nSpeaker B: 00:03-00:10, 00:24-00:30"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--57082.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:06-00:07, 00:10-00:13, 00:15-00:20, 00:24-00:29, 00:33-00:34\nSpeaker B: 00:03-00:06, 00:08-00:18, 00:13-00:15, 00:21-00:23, 00:29-00:32"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:25, 00:22-00:39\nSpeaker B: 00:03-00:04, 00:15-00:22, 00:39-00:42"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1107341.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:21, 00:18-00:31, 00:38-00:47, 00:52-01:01\nSpeaker B: 00:02-00:03, 00:10-00:17, 00:32-00:38, 00:48-00:51, 01:01-01:05"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--876910.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:20, 00:16-00:44, 00:54-01:02\nSpeaker B: 00:09-00:15, 00:44-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--994009.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:03-00:05, 00:12-00:15, 00:24-00:28, 00:33-00:36\nSpeaker B: 00:02-00:08, 00:06-00:11, 00:15-00:24, 00:28-00:32, 00:37-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--205413.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:10-00:16, 00:26-00:34\nSpeaker B: 00:03-00:17, 00:17-00:26"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--960193.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:10-00:14, 00:23-00:29, 00:38-00:45, 00:51-00:56, 01:00-01:03\nSpeaker B: 00:04-00:15, 00:14-00:22, 00:29-00:39, 00:46-00:51, 00:57-01:00, 01:04-01:07"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1113559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:13, 00:13-00:18, 00:28-00:29, 00:41-00:46, 00:53-00:55, 01:04-01:07, 01:12-01:14\nSpeaker B: 00:05-00:12, 00:18-00:28, 00:29-00:40, 00:46-00:53, 00:55-01:04, 01:07-01:12, 01:14-01:18"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--82144.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:08, 00:13-00:25, 00:23-00:28, 00:43-00:51, 00:55-00:59, 01:03-01:05\nSpeaker B: 00:08-00:12, 00:19-00:23, 00:28-00:42, 00:51-00:55, 01:00-01:02"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--473100.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:06-00:16, 00:14-00:18, 00:20-00:23, 00:25-00:33, 00:38-00:42, 00:48-00:49\nSpeaker B: 00:05-00:06, 00:09-00:14, 00:19-00:20, 00:24-00:25, 00:33-00:38, 00:43-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--725089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:14, 00:11-00:17, 00:24-00:31\nSpeaker B: 00:03-00:03, 00:06-00:11, 00:17-00:23, 00:31-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--22719.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:15-00:25, 00:34-00:47\nSpeaker B: 00:07-00:20, 00:25-00:34, 00:48-00:51"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--640525.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:07-00:12, 00:15-00:22, 00:28-00:47, 00:54-00:55\nSpeaker B: 00:05-00:07, 00:13-00:22, 00:23-00:27, 00:47-00:54"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--252183.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:05-00:09, 00:12-00:22, 00:18-00:24, 00:27-00:40\nSpeaker B: 00:02-00:05, 00:09-00:11, 00:14-00:18, 00:24-00:27, 00:41-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--962013.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:09, 00:12-00:20, 00:30-00:43, 00:48-00:55\nSpeaker B: 00:03-00:05, 00:09-00:19, 00:20-00:30, 00:43-00:47, 00:55-01:00"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--439119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:08, 00:10-00:36, 00:35-00:48\nSpeaker B: 00:02-00:05, 00:09-00:10, 00:26-00:34, 00:49-00:56"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--412543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:08, 00:11-00:17, 00:27-00:35, 00:40-00:45\nSpeaker B: 00:04-00:06, 00:08-00:18, 00:18-00:27, 00:35-00:39"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--992151.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:05-00:09, 00:24-00:29, 00:36-00:40\nSpeaker B: 00:02-00:04, 00:10-00:23, 00:30-00:35, 00:41-00:43"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--243315.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:10, 00:15-00:22, 00:34-00:44, 00:54-01:03\nSpeaker B: 00:01-00:03, 00:10-00:22, 00:22-00:34, 00:44-00:53, 01:03-01:08"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--193891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:19, 00:16-00:36, 00:41-00:54\nSpeaker B: 00:02-00:05, 00:10-00:15, 00:36-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--888565.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:15, 00:21-00:35, 00:41-00:50\nSpeaker B: 00:05-00:13, 00:16-00:20, 00:35-00:40, 00:50-00:53"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--650705.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:07-00:13, 00:21-00:31, 00:38-00:48\nSpeaker B: 00:03-00:14, 00:14-00:20, 00:33-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--735517.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:06, 00:11-00:18, 00:29-00:32, 00:43-00:47\nSpeaker B: 00:07-00:20, 00:18-00:29, 00:33-00:43, 00:47-00:58"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--180962.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:08-00:09, 00:24-00:26, 00:31-00:32\nSpeaker B: 00:03-00:07, 00:09-00:21, 00:27-00:31"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1175954.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:09-00:12, 00:17-00:27, 00:35-00:43\nSpeaker B: 00:03-00:15, 00:13-00:16, 00:28-00:34"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--559292.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:08, 00:13-00:18, 00:24-00:30, 00:34-00:40\nSpeaker B: 00:04-00:06, 00:08-00:20, 00:19-00:24, 00:30-00:33, 00:40-00:46"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--330048.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:07-00:18, 00:17-00:25, 00:28-00:39, 00:45-00:52\nSpeaker B: 00:04-00:07, 00:11-00:17, 00:26-00:28, 00:39-00:45, 00:52-00:59"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--609913.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:14-00:21, 00:31-00:39, 00:43-00:45, 00:48-00:52, 01:00-01:04\nSpeaker B: 00:03-00:22, 00:22-00:31, 00:39-00:43, 00:45-00:47, 00:52-00:59, 01:05-01:21"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--413649.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:05, 00:12-00:18, 00:24-00:28, 00:34-00:40, 00:46-00:56, 00:59-01:06\nSpeaker B: 00:05-00:18, 00:19-00:24, 00:28-00:33, 00:41-00:45, 00:56-00:59, 01:06-01:09"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--90368.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:08-00:24, 00:29-00:38\nSpeaker B: 00:05-00:07, 00:24-00:28, 00:38-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--787888.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:17, 00:14-00:19, 00:24-00:37, 00:41-00:50\nSpeaker B: 00:04-00:05, 00:09-00:14, 00:19-00:23, 00:37-00:41"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--156744.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:10-00:17, 00:23-00:28, 00:38-00:40, 00:47-00:49\nSpeaker B: 00:03-00:16, 00:17-00:23, 00:29-00:37, 00:41-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--571406.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:12, 00:12-00:20, 00:27-00:37, 00:45-00:54\nSpeaker B: 00:05-00:12, 00:21-00:26, 00:37-00:44"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1059254.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:20-00:28, 00:45-00:50, 01:03-01:07\nSpeaker B: 00:04-00:29, 00:28-00:45, 00:51-01:03"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--846418.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:05-00:07, 00:16-00:32, 00:33-00:53, 01:01-01:10\nSpeaker B: 00:03-00:04, 00:08-00:15, 00:25-00:33, 00:54-01:00, 01:10-01:12"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--905170.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:04, 00:07-00:14, 00:22-00:30, 00:34-00:37, 00:41-00:50\nSpeaker B: 00:04-00:12, 00:14-00:22, 00:31-00:34, 00:38-00:41, 00:50-00:52"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--852467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:09, 00:17-00:23\nSpeaker B: 00:09-00:24, 00:24-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--964867.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:10, 00:08-00:10, 00:12-00:14, 00:27-00:28, 00:33-00:35\nSpeaker B: 00:03-00:07, 00:10-00:12, 00:15-00:26, 00:29-00:33, 00:35-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--146698.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:21, 00:21-00:32\nSpeaker B: 00:12-00:21, 00:33-00:35"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--188417.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:01, 00:04-00:09, 00:12-00:17, 00:21-00:29, 00:33-00:37\nSpeaker B: 00:01-00:03, 00:09-00:19, 00:17-00:21, 00:29-00:33, 00:37-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--731416.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:06-00:11, 00:13-00:16, 00:22-00:27, 00:30-00:32\nSpeaker B: 00:03-00:11, 00:11-00:13, 00:17-00:21, 00:27-00:30"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--769683.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:03, 00:10-00:15, 00:22-00:29, 00:34-00:36, 00:40-00:42, 00:47-00:49\nSpeaker B: 00:04-00:18, 00:16-00:22, 00:30-00:33, 00:37-00:39, 00:42-00:47"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--933043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:04-00:05, 00:07-00:29, 00:25-00:34\nSpeaker B: 00:02-00:03, 00:06-00:07, 00:19-00:25, 00:34-00:38"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--58199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and detect individual speakers. \nList the speaking segments for each speaker in MM:SS-MM:SS format. \nOnly output speaker labels and time segments in a similar format. Do not include any explanation.\nFormat the output like this example: \nSpeaker A: 00:00-00:13, 00:15-00:27, 00:33-00:37\nSpeaker B: 00:04-00:14, 00:27-00:32, 00:38-00:39 \n"}, {"role": "assistant", "content": "Speaker A: 00:00-00:02, 00:05-00:22, 00:22-00:35, 00:40-00:49\nSpeaker B: 00:03-00:04, 00:12-00:22, 00:35-00:40"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--716169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: I can't believe this is happening. I feel like my whole world is crumbling down around me, and I don't know how to pick up the pieces after all the years of dedication and effort I've poured into building this dream from scratch.\n[00:04 - 00:14] Speaker B: I'm so sorry, Hendrick. I know how hard you've worked on your business and how much it means to you. But have you thought about reaching out to some of your old contacts? Maybe they could help you find a way forward.\n[00:15 - 00:27] Speaker A: It feels like everything I've built up has been destroyed in an instant. I don't know what I'm going to do or where I'm going to go from here. It's like I'm standing at the edge of a cliff with no clear path ahead.\n[00:27 - 00:32] Speaker B: We'll figure it out together, Hendrick. You're not alone in this. I'm here for you, no matter what happens.\n[00:33 - 00:37] Speaker A: Thank you, John. Just knowing you're here with me makes me feel a little better.\n[00:38 - 00:39] Speaker B: Of course, Hendrick. I love you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--752118.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, Jayshawn. How are you today?\n[00:02 - 00:04] Speaker B: I'm good, thank you. How are you?\n[00:04 - 00:08] Speaker A: I'm doing well, thank you. So, what have you been up to today?\n[00:09 - 00:12] Speaker B: Just hanging out with my friends and stuff. What about you?\n[00:12 - 00:27] Speaker A: Oh, not much. Just doing some work around the house and stuff. Hey, I wanted to ask you if you need any help with your school project that's due next week because I remember you mentioned struggling with the research portion and I'd be happy to assist.\n[00:19 - 00:23] Speaker B: Oh, speaking of work around the house, did you manage to fix that leaky faucet you mentioned last week?\n[00:24 - 00:32] Speaker A: Not yet, but it's on my list. Anyway, I noticed that you're having some trouble spelling words and I wanted to help you out with that.\n[00:33 - 00:34] Speaker B: Really? Thank you! That would be great.\n[00:35 - 00:40] Speaker A: Sure, no problem. Let's start with a simple word like 'cat'. C-A-T. Now, you try it.\n[00:41 - 00:42] Speaker B: Okay. C-A-T.\n[00:43 - 00:48] Speaker A: Very good! Now let's try a harder word like 'dog'. D-O-G.\n[00:48 - 00:49] Speaker B: D-O-G.\n[00:49 - 00:51] Speaker A: Excellent! You're doing great!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--242753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Coach, I'm getting better and better at running. I can now run a mile in under six minutes.\n[00:06 - 00:15] Speaker B: That's great, John! You're really pushing yourself hard, and it's paying off with noticeable improvements in both your endurance and technique that I've been observing during our training sessions.\n[00:08 - 00:15] Speaker A: Actually, Coach, do you think I should start focusing on increasing my distance now that my speed is improving?\n[00:15 - 00:24] Speaker B: Absolutely, increasing your distance is a good idea, but remember to do it gradually. However, you mentioned your speed, and I was going to say that you're really progressing well.\n[00:25 - 00:33] Speaker A: Yeah, I feel excited because I'm seeing improvement. Every time I go out and practice, I can feel myself getting faster and stronger.\n[00:33 - 00:40] Speaker B: That's the key to success in any endeavor--seeing progress and being excited by it. You're on the right track, John. Keep up the good work!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--903704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Wow, you're really good at this!\n[00:02 - 00:04] Speaker B: Thanks! I've been playing for a while.\n[00:04 - 00:16] Speaker A: I can tell. You're so natural at it. I wish I could play like you, but I guess I just need more practice to get there and develop the same level of fluidity and precision in my movements.\n[00:09 - 00:16] Speaker B: Hey, don't sell yourself short. It's not that difficult, honestly. Anyone can learn if they put their mind to it and practice enough.\n[00:17 - 00:24] Speaker A: Yeah, but it seems like you have a real gift for it. I don't know if I could ever be that skilled, even with practice.\n[00:25 - 00:28] Speaker B: Maybe I can give you some lessons sometime? Help you get started?\n[00:28 - 00:31] Speaker A: Seriously? You'd do that for me?\n[00:31 - 00:34] Speaker B: Of course! I'd love to help you out. Playing together would be fun too.\n[00:35 - 00:40] Speaker A: That would be amazing! Thank you so much, Neiko. I really appreciate it.\n[00:40 - 00:43] Speaker B: Don't mention it. Now let's get back to playing!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1129671.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:21] Speaker A: I don't know why I do it, Mom. I just feel so empty all the time and this is the only way I can feel anything. The pain is a way to punish myself for my mistakes and to feel alive. I know it's not healthy but I can't seem to stop myself from falling into this cycle of self-destructive behavior even though deep down I know I deserve better and want to change.\n[00:14 - 00:22] Speaker B: Sweetie, I understand that it feels overwhelming, but have you thought about talking to someone professionally? Maybe they could help you find a healthier way to cope with these feelings.\n[00:23 - 00:36] Speaker A: I know you say that, but I don't feel it. It feels like everything I do is wrong and that I'm just a\n[00:37 - 00:42] Speaker B: You're not a disappointment, Hayley. We love you no matter what, and we will help you through this, I promise."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--942720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Hi, Sarah. I hope I'm not disturbing you, I just wanted to see how you're doing and catch up since we haven't talked in a while.\n[00:02 - 00:06] Speaker B: No, it's fine. I'm just taking a break from studying for finals. How are you?\n[00:07 - 00:11] Speaker A: I'm good. Just wanted to check in on you and see how you're doing.\n[00:12 - 00:13] Speaker B: I've been better, to be honest.\n[00:14 - 00:15] Speaker A: What's going on?\n[00:15 - 00:26] Speaker B: It's just everything. Finals, work, my boyfriend breaking up with me...I don't know. I feel like I can't catch a\n[00:27 - 00:33] Speaker A: Wait, your boyfriend broke up with you? I'm so sorry, Sarah. That must be really hard on top of everything else.\n[00:34 - 00:42] Speaker B: Yeah, it's been rough. But my roommates have been great, and my mom called me yesterday, which was nice. But sometimes it feels like nobody really gets it, you know?\n[00:42 - 00:53] Speaker A: Yeah, I totally get that. It can be really hard when it feels like nobody understands what you're going through. But I'm here for you if you ever want to talk or need anything, okay?\n[00:54 - 00:56] Speaker B: Thank you so much, Brodey. That means a lot to me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--546350.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi, I'm looking for a new couch, coffee table, and rug.\n[00:04 - 00:09] Speaker B: Great! We have a wide selection of furniture to choose from. Let me show you some of our couches first.\n[00:10 - 00:11] Speaker A: OK.\n[00:11 - 00:20] Speaker B: We have a variety of styles and colors to choose from. What is your preferred style? Are you looking for something modern, traditional, or maybe something in between?\n[00:20 - 00:26] Speaker A: Sorry, before we get into that, can you tell me if you have any ongoing discounts or promotions?\n[00:26 - 00:34] Speaker B: Yes, we do have some promotions running right now. I was just about to ask about your budget, though. Do you have a specific number in mind?\n[00:34 - 00:38] Speaker A: I'm not really sure. Maybe around $500?\n[00:38 - 01:00] Speaker B: We have some great options within your budget. This couch here is only $499. It's a popular choice because it's very versatile and can be used in many different ways while still maintaining its structural integrity and comfort level over extended periods of use. Plus, the color goes well with almost any decor. Would you like to take a closer look or maybe see how it feels when you sit on it?\n[00:49 - 00:55] Speaker A: Actually, I was also wondering about the durability of this couch. How long does it typically last?\n[00:56 - 01:02] Speaker B: It's made with high-quality materials, so it should last you several years with proper care. Would you like to see it?\n[01:02 - 01:04] Speaker A: Yes, that sounds perfect. I'll take it!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--201813.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: I'm really proud of myself lately. I've been working hard in school and getting good grades across all my subjects, which has really boosted my confidence and made all those late-night study sessions feel worthwhile.\n[00:05 - 00:12] Speaker B: That's terrific, Evelin! Speaking of school, have you thought about how you're going to maintain this momentum, especially with finals coming up?\n[00:12 - 00:31] Speaker A: Yes, I've been planning ahead for that. I think it's just been a matter of focusing on what's important to me and setting my sights high. I'm not going to settle for anything less than what I\n[00:32 - 00:39] Speaker B: Absolutely, you shouldn't settle! But have you also considered rewarding yourself for the progress you've made so far? It might help keep you motivated.\n[00:40 - 00:49] Speaker A: That's a good point. I was actually thinking of treating myself after finals. But yeah, staying focused has definitely been key to my success."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--846507.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, Brooke, what do you think of our new town so far?\n[00:03 - 00:17] Speaker B: I like it! It's really different from the last town we lived in. There are a lot more things to do here and the people seem really welcoming and open to newcomers, which makes it much easier to adjust to the new environment and start building meaningful connections with the community.\n[00:10 - 00:15] Speaker A: Sorry to jump in, but speaking of people, have you had a chance to meet any of the neighbors yet?\n[00:16 - 00:25] Speaker B: Not yet, but they do seem friendly. I was going to say that. And about jobs, there are a few businesses in town that are always hiring, so I'm sure you'll be able to find something eventually.\n[00:25 - 00:30] Speaker A: That's good to know. Thanks, Brooke. I appreciate your help in getting settled here.\n[00:31 - 00:35] Speaker B: No problem! I'm just glad I could be of assistance during this transition period.\n[00:35 - 00:41] Speaker A: Oh, one more thing—do you think the local schools are good? Just wondering for the future.\n[00:42 - 00:53] Speaker B: And yes, I've heard the schools here are quite good, so that's another plus for the town! The teachers are highly qualified and the facilities are modern, which provides excellent opportunities for students to thrive academically and socially."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--921984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how's it going?\n[00:01 - 00:04] Speaker B: Not too bad. Just trying to stay busy these days.\n[00:05 - 00:18] Speaker A: Yeah, I know what you mean. It's tough just sitting around and not having much to do can really get to you after a while, especially when you're used to being more active and engaged in various activities throughout your day.\n[00:08 - 00:15] Speaker B: Sorry to jump in, but have you found anything specific to keep yourself busy with? I'm always looking for new ideas.\n[00:15 - 00:22] Speaker A: Mostly work and a bit of reading, but nothing too exciting. I feel like I'm going stir crazy lately.\n[00:22 - 00:27] Speaker B: Yeah, I can imagine. Do you ever get out and do anything fun?\n[00:27 - 00:33] Speaker A: Occasionally, but not as much as I used to. I've been thinking about taking up a new hobby though.\n[00:33 - 00:36] Speaker B: That sounds like a good idea. What are you thinking about?\n[00:36 - 00:44] Speaker A: I'm not really sure. I've been considering a few different things, but I can't seem to decide on anything that really excites me.\n[00:44 - 00:50] Speaker B: Maybe you could try something creative, like painting or writing? Sometimes it helps to explore different outlets.\n[00:50 - 00:58] Speaker A: That's a good suggestion. I hadn't thought about that. I'll have to keep that in mind. Thanks for the advice."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--463700.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Hey, Julieann. I'm sorry about the dishes. I totally forgot to do them before you got home, but I'll take care of it right away and make sure the kitchen is spotless before you get back from your evening yoga class.\n[00:04 - 00:13] Speaker B: You forgot? I told you specifically to do them before I left for work this morning, and you didn't do them. Now they're just sitting there in the sink, dirty and wet.\n[00:13 - 00:18] Speaker A: I know, I'm really sorry about that. It won't happen again, I promise.\n[00:18 - 00:28] Speaker B: It had better not. I don't like coming home to\n[00:28 - 00:32] Speaker A: I know you don't, and I'm sorry. I'll do the dishes right now."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--762740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey boss, can I talk to you for a second?\n[00:03 - 00:04] Speaker B: What is it Jailynn?\n[00:04 - 00:20] Speaker A: I wanted to talk to you about what happened earlier. I was really embarrassed and angry when you scolded me in front of my colleagues because it completely undermined my confidence and made me question my professional abilities in front of people I work with every day.\n[00:12 - 00:19] Speaker B: I'm sorry to cut you off, but I just want to clarify—was it the way I addressed it or the fact that it was in front of others that upset you the most?\n[00:20 - 00:27] Speaker A: Honestly, it was both. But mainly, it was the public aspect of it. It made me feel like I wasn't good enough.\n[00:27 - 00:37] Speaker B: Jailynn, I didn't mean to make you feel that way. I'm sorry if I did. But please understand that I was just trying to help you correct a mistake so that you don't make it again in the future. Okay?\n[00:37 - 00:40] Speaker A: Alright boss. Thanks for explaining it to me.\n[00:41 - 00:45] Speaker B: No problem Jailynn. Just try to understand where I'm coming from next time, okay?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1120331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey Tony, how's it going? I haven't seen you in a while.\n[00:03 - 00:08] Speaker B: I'm doing alright, thanks for asking. How about you? How's the music scene treating you?\n[00:08 - 00:22] Speaker A: It's been good. I've been really busy lately with gigs and rehearsals. I'm loving every moment of it, especially when the crowd gets really into the music and we can create this incredible energy together on stage.\n[00:14 - 00:19] Speaker B: Oh, that sounds intense! Are you managing to find any time to rest in between all that?\n[00:19 - 00:33] Speaker A: Honestly, not much. But I wouldn't trade it for anything. I love the way the upright bass sounds. It's so rich and full. And I love the way it can bring a whole new dimension to the music, especially in live performances.\n[00:34 - 00:41] Speaker B: Totally, the upright bass has such a unique presence. But do you ever feel like you need to switch things up, maybe experiment with other instruments?\n[00:42 - 00:53] Speaker A: Sometimes, but the upright bass just resonates with me on a different level. I've been playing for many years and still enjoy it as much as I did when I first started.\n[00:53 - 00:57] Speaker B: That's really great. I'm sure your fans appreciate your passion for music.\n[00:57 - 01:00] Speaker A: Thank you, Tony. I appreciate your support."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--867206.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, dad. I wanted to talk to you about something.\n[00:03 - 00:04] Speaker B: What is it, son?\n[00:04 - 00:05] Speaker A: I got a job!\n[00:06 - 00:08] Speaker B: That's great news! Where are you working?\n[00:09 - 00:24] Speaker A: I'm working at the grocery store down the street. It's not much, but it's a good starting point to gain some work experience and earn a bit of money while learning valuable customer service skills that could be useful in any future career path I might choose.\n[00:14 - 00:18] Speaker B: Actually, have you thought about how this job might fit into your long-term career goals?\n[00:18 - 00:33] Speaker A: Well, it's a start. I'm still figuring out my long-term plans. But for now, I just want to gain some experience. And one day, I want to save up and buy a house of my own. But I know I need to plan more carefully to achieve that.\n[00:34 - 00:41] Speaker B: That's an admirable goal. Just make sure you're also thinking about potential growth opportunities within the company or in the industry.\n[00:41 - 00:49] Speaker A: Absolutely, Dad. I will keep that in mind. But for now, I'm just happy to have a job and be able to take care of myself."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--954404.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:19] Speaker A: Mom, I had a really bad dream last night. There were these monsters chasing me and I was running away from them. I was screaming and trying to get away, but they were getting closer and closer. It was so terrifying, I felt like I couldn't escape no matter how fast I ran, and the worst part was that I couldn't find anyone to help me in the dream.\n[00:13 - 00:23] Speaker B: Oh, Karoline, it sounds like you had a nightmare. Monsters aren't real, they're just made up in our imaginations. They can't hurt you unless you let them. But, do you remember anything specific about the monsters?\n[00:24 - 00:29] Speaker A: I know they're not real, but it was still so scary. I don't think I can forget about it.\n[00:30 - 00:41] Speaker B: Well, maybe we can talk about it and see if that helps. What do you think the monsters  might have been trying to tell you or represent in your dream, considering how vivid and persistent they were in chasing you throughout the nightmare?\n[00:41 - 00:46] Speaker A: I don't know. Maybe they represented my fear of failure or something.\n[00:46 - 00:50] Speaker B: That's a possibility. Do you feel like you're failing at something right now?\n[00:50 - 00:55] Speaker A: No, not really. But I am kind of scared about starting high school next year.\n[00:56 - 01:04] Speaker B: Ah, that makes sense. It's normal to be scared about something like that. But you'll be okay, I promise. Just take things one step at a time and you'll be fine.\n[01:05 - 01:09] Speaker A: Yeah, I guess you're right. Thanks for talking to me, Mom.\n[01:09 - 01:13] Speaker B: Of course, sweetie! Anytime you need to talk, just let me know."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--41116.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey.\n[00:01 - 00:02] Speaker B: Hey. What's up?\n[00:02 - 00:11] Speaker A: I wanted to talk to you about what happened between us last night and how it's been affecting me emotionally ever since. I can't stop thinking about it.\n[00:05 - 00:09] Speaker B: Yeah, I figured we should talk about it. It was pretty intense.\n[00:09 - 00:13] Speaker A: It was intense for me too. I've never felt that way before.\n[00:13 - 00:21] Speaker B: Me neither. I don't know what came over\n[00:23 - 00:29] Speaker A: I think we were just caught up in the moment. We were both feeling so much passion and intensity that it took over.\n[00:30 - 00:34] Speaker B: That makes sense. I've been thinking about it a lot, and I can't stop thinking about you.\n[00:34 - 00:38] Speaker A: I feel the same way. You're all I can think about too.\n[00:38 - 00:39] Speaker B: What do we do now?\n[00:40 - 00:44] Speaker A: I don't know. I guess we just take it one day at a time and see where things go.\n[00:45 - 00:46] Speaker B: That sounds good to me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--951661.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:20] Speaker A: Hey, hon. I was just looking over our budget for the month and I noticed that we're spending a lot on unnecessary things. I think we need to cut back on some of our subscriptions, like streaming services and memberships that we don't use often, especially since we've been paying for several platforms that we haven't even logged into for months.\n[00:09 - 00:18] Speaker B: Sorry to jump in, but do you think it's possible that we're just not tracking our expenses closely enough? Maybe if we kept a closer eye on our spending, we wouldn't need to cut back as much.\n[00:19 - 00:29] Speaker A: That could be part of it, but I still think we need to make some adjustments. We could start by cutting back on our eating out expenses. We go out to eat a lot and it really adds up.\n[00:30 - 00:37] Speaker B: That's a good idea. I'm also thinking we should cut back on our entertainment expenses. We spend a lot of money on movies and concerts.\n[00:37 - 00:41] Speaker A: Yeah, that's definitely something we can cut back on.\n[00:41 - 00:50] Speaker B: Okay, so those are two areas we can save money in. Are there any other areas you think we should cut back on, like maybe reducing our grocery bill by planning meals better?\n[00:50 - 00:58] Speaker A: Sorry, one more thought—what about our subscriptions? We have a lot of them, and I think we might not even be using some of them regularly.\n[00:58 - 01:08] Speaker B: You're right, we should definitely review those. But I was going to say we could also try to shop more wisely for groceries and household items. We tend to spend a lot on these things as well.\n[01:08 - 01:16] Speaker A: That's true. I think if we're careful about where we shop and what deals we take advantage of, we can definitely save some money there too.\n[01:16 - 01:27] Speaker B: Great! I'll start looking into ways to save money in these areas and see how much we can actually save each month by creating a detailed spreadsheet to track our progress and identify additional saving opportunities."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1080787.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Wow, I've never seen that kind of fruit before! What is it?\n[00:04 - 00:16] Speaker B: Oh, that's a dragonfruit. They're really popular right now, especially among health-conscious consumers who appreciate their high antioxidant content and unique texture that combines the creaminess of kiwi with the crunch of pear.\n[00:06 - 00:13] Speaker A: Oh, really? Why are they so popular right now? Is it because of their taste or something else?\n[00:13 - 00:22] Speaker B: It's a combination of things, really. They have a unique taste, and they're also quite nutritious. Plus, they look really striking, which makes them popular on social media.\n[00:22 - 00:27] Speaker A: That makes sense! I'll have to try one then! How much are they?\n[00:27 - 00:29] Speaker B: Just $3 each.\n[00:29 - 00:31] Speaker A: Okay, I'll take two please.\n[00:32 - 00:34] Speaker B: Great! Here you go. Enjoy!\n[00:34 - 00:35] Speaker A: Thanks! I will.\n[00:36 - 00:40] Speaker A: Mmm, this is really good! What did you say this was again?\n[00:41 - 00:42] Speaker B: A dragonfruit.\n[00:42 - 00:45] Speaker A: It's so sweet and juicy! I love it!\n[00:45 - 00:58] Speaker B: I'm glad you like it. We have a lot of people who come in and try them for the first time and end up\n[01:00 - 01:07] Speaker A: Oh, I can totally see that happening! It's such a unique flavor. I'll definitely be back for more. Thanks again!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--113543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Hey, I'm sorry about what happened with our taxes. I know you're mad, but I promise it won't happen again because I've learned my lesson and I understand how much it affected us financially and emotionally in our relationship.\n[00:06 - 00:12] Speaker B: I'm not just mad, Lathan. I'm disappointed. We've always been a team, and this feels like you betrayed that trust.\n[00:12 - 00:19] Speaker A: I know. And I'm really sorry. It was a stupid mistake and I'll never do anything like that again.\n[00:19 - 00:29] Speaker B: Why did you do it? Was it just because you wanted to save some  money in the short term without considering the long-term consequences, or was there something else going on that I didn't know about?\n[00:29 - 00:40] Speaker A: No, it wasn't just about the money. I was feeling really stressed out about everything and I thought if we could just get a little bit of a break on our taxes, it would help out a lot.\n[00:40 - 00:48] Speaker B: But why didn't you talk to me about it first? We could have come up with another solution together instead of you doing something illegal behind my back.\n[00:48 - 00:57] Speaker A: Again, I'm sorry. I know that was wrong and next time I'll definitely talk to you first before doing anything like that again.\n[00:57 - 01:02] Speaker B: Alright, I forgive you. But you need to promise me that you'll never do anything like that again.\n[01:03 - 01:04] Speaker A: I promise."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--431708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: Hey Hagen, I know you're not supposed to go into the haunted house, but I'll give you a piece of candy if you come with me, and we'll just take a quick look inside. It'll be over before you know it and we might even discover some cool secrets about the house's history.\n[00:06 - 00:11] Speaker B: No way! I'm not going in there! There are ghosts and monsters and who knows what else inside!\n[00:11 - 00:20] Speaker A: Oh come on, it's not like it's really going to be that scary. And besides, I'll be right next to you the whole time. We can leave if it gets too spooky.\n[00:21 - 00:24] Speaker B: I said no! I don't care if you're with me or not, I don't want to go!\n[00:25 - 00:28] Speaker A: Oh, come on Hagen. It'll be fun. I promise.\n[00:29 - 00:30] Speaker B: No! I don't want to go!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--162201.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:02] Speaker B: Not much, what's up with you?\n[00:03 - 00:15] Speaker A: I'm not feeling too great. I have a headache and I'm feeling kind of dizzy and a bit out of sorts, like my body isn't quite cooperating with me today and everything feels slightly out of focus.\n[00:08 - 00:13] Speaker B: Sorry to jump in, but have you had any water today? Sometimes dehydration can cause headaches.\n[00:13 - 00:20] Speaker A: You know, I haven't had much water today. That might be part of it, but I'm also feeling kind of sad.\n[00:20 - 00:22] Speaker B: That sounds rough. Do you want to talk about it?\n[00:23 - 00:29] Speaker A: I don't really know what's going on. I just feel off and it's hard to pinpoint exactly why.\n[00:29 - 00:36] Speaker B: Do you think it could be stress? Sometimes stress can sneak up on you and make you feel off without you even realizing it.\n[00:36 - 00:41] Speaker A: Maybe, I've had a lot on my mind lately. I was going to say that I just feel off today.\n[00:42 - 00:48] Speaker B: Well, sometimes when we feel off, it might help to talk about what's going on with someone who will listen without judging. Would you like that?\n[00:48 - 00:52] Speaker A: Yeah, that would be nice. Thanks for being understanding."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--162106.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey Sarah, what's up?\n[00:01 - 00:03] Speaker B: Not much, what are you up to?\n[00:03 - 00:18] Speaker A: Just standing in this pool of water, trying to escape the heat. It's really hot out and I was thinking about just staying in here for the rest of the day because the water is perfectly refreshing and the shade from these trees makes it even more comfortable.\n[00:08 - 00:15] Speaker B: Sorry to cut in, but how hot is it exactly? I was thinking of going for a run later, but now I'm not so sure.\n[00:15 - 00:35] Speaker A: Yeah, it's probably not the best idea to run today. It's around 95 degrees, and it feels even hotter with the humidity. The pool feels really good and it's helping me cool down  especially since there's a slight breeze too that makes the whole experience feel like a mini vacation from this brutal summer weather.\n[00:36 - 00:39] Speaker B: That sounds nice. I wish I could be in a pool right now too.\n[00:40 - 00:55] Speaker A: Yeah, it's pretty great. I feel like I could stay here all day  without getting bored because there's so much to enjoy - watching the clouds drift by, listening to the birds chirping, and feeling the gentle movement of the water around me.\n[00:55 - 01:00] Speaker B: I bet. It must be really nice to just relax in the water and not have to worry about anything else.\n[01:01 - 01:14] Speaker A: Yeah, it is. It's really peaceful and calming. I'm glad I decided to come out here and do this  instead of staying indoors where I would just be sweating and miserable, staring at the same four walls all afternoon.\n[01:15 - 01:17] Speaker B: Me too, Cleveland. Me too."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1112763.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I promise I won't hurt you. I just want to be friends.\n[00:03 - 00:05] Speaker B: Why? What's wrong with me?\n[00:06 - 00:10] Speaker A: There's nothing wrong with you, Analeigh. I just don't want to hurt you.\n[00:10 - 00:13] Speaker B: But why would you hurt me? We're friends, right?\n[00:13 - 00:30] Speaker A: Yes, we're friends. But sometimes people do things that they don't mean to their friends and they end up getting hurt. And I don't want that to happen between us because I value our friendship too much and want to make sure we're both being considerate of each other's feelings at all times.\n[00:21 - 00:26] Speaker B: Wait, are you saying you've been hurt before by a friend? Is that why you're worried?\n[00:27 - 00:44] Speaker A: Yes, that's part of it. But I also think we need to be mindful of how we treat each other. I haven't mentioned  the specific incident from my past that caused me so much pain, but it fundamentally changed how I approach all my relationships now, especially close friendships like ours.\n[00:44 - 00:51] Speaker B: Mindful, yes, absolutely. But I just want to know, do you trust me enough to believe that I would never intentionally hurt you?\n[00:51 - 01:00] Speaker A: I do trust you, Analeigh. I just think it's important to talk about these things openly. So let's be careful with each other then, okay?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--486837.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, August. Thanks for talking with me. How are you doing?\n[00:04 - 00:07] Speaker B: I'm doing alright, Keylin. How are you?\n[00:08 - 00:13] Speaker A: I'm good. Hey, I wanted to talk to you about what happened the other day at the fire.\n[00:13 - 00:26] Speaker B: Yeah, that was pretty crazy. I can't believe you were able to get my family out of there in such a short amount of time while the flames were spreading so rapidly and still managed to stay calm under all that pressure. It was like you knew exactly what to do.\n[00:18 - 00:26] Speaker A: Sorry, I just wanted to say, I really didn't do anything special. I just did what anyone else would have done in that situation.\n[00:26 - 00:34] Speaker B: Well, not everyone would have had the presence of mind to do what you did. You're a real hero, Keylin. My family and I owe you everything.\n[00:34 - 00:40] Speaker A: Don't worry about it, August. I'm just glad everyone is safe and sound now. That's all that matters to me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--734147.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: Coach, I'm really frustrated. I wanted to hit a home run, but I ended up hitting a grounder that barely made it past the pitcher and now I'm worried about letting the whole team down with my performance today.\n[00:06 - 00:16] Speaker B: Melody, I understand the frustration, but can we talk about how you approached that curveball? Maybe there's something we can adjust in your stance or swing.\n[00:16 - 00:20] Speaker A: I know that, but it's just frustrating when I feel like I could've done better.\n[00:21 - 00:28] Speaker B: Melody, remember that everyone makes mistakes. It's how you learn from them that shapes your growth as a player and helps you improve for the next time.\n[00:29 - 00:36] Speaker A: Sorry to cut you off, Coach, but do you really think I'll get another chance soon? I just feel like I keep missing opportunities.\n[00:37 - 00:47] Speaker B: You will, Melody. Opportunities always come around, especially when you keep your head up and keep working hard"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--999278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:23] Speaker A: Thank you for taking the time to meet with me today, it's great to have an opportunity to speak with you about the open position. Based on my research and understanding of the job requirements, I believe that I am a strong candidate for the role, especially given my background in similar positions and my proven track record of exceeding performance metrics in fast-paced work environments.\n[00:14 - 00:20] Speaker B: Sorry to jump in, but could you elaborate on how your experience specifically aligns with the key responsibilities of the role?\n[00:21 - 00:40] Speaker A: Of course! As we discussed, I have experience in customer service and sales, which I think would be beneficial in this role. Additionally, I have excellent communication skills and a strong work ethic. Based on what I know about the company and its values, I feel like my skills and experience would contribute well to its success.\n[00:41 - 00:51] Speaker B: That all sounds great! We're really looking for someone who is passionate about our mission and who will be dedicated to our customers' satisfaction. Do you think you have what it takes to excel in this role?\n[00:51 - 01:13] Speaker A: Absolutely! Like I said, customer satisfaction is very important to me and I'm always looking for ways to go above and beyond for both current and potential customers. In my previous roles, I've been recognized by my supervisors for going above and beyond expectations; I'm confident that I could bring that same level of dedication to this organization.\n[01:13 - 01:19] Speaker B: That's terrific! We'll definitely keep you in mind for the role. Thank you so much for taking the time to meet with us today.\n[01:20 - 01:22] Speaker A: Thank you, it was great to speak with you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--872171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So how's married life?\n[00:01 - 00:03] Speaker B: It's good. I'm really happy.\n[00:04 - 00:09] Speaker A: I'm glad to hear that. So, what's been the best part of it so far?\n[00:09 - 00:26] Speaker B: The best part has definitely been having someone to come home to every night. Someone who loves me unconditionally and is always there for me. Plus, the sex is pretty amazing, but more importantly, the emotional connection has deepened so much that I feel like we're truly building a life together that's full of love and mutual understanding.\n[00:18 - 00:25] Speaker A: Sorry to cut in, but I just remembered—how's the adjustment been? You know, living together and sharing space every day?\n[00:26 - 00:35] Speaker B: It's actually been smoother than I expected. We've had a few small disagreements, but nothing major. I was going to say, the sex is pretty great too. (laughs)\n[00:35 - 00:41] Speaker A: That sounds nice. I'm happy for you, Gionna. You deserve it after everything you've been through.\n[00:41 - 00:47] Speaker B: Thanks, Maryrose. I couldn't have done it without you. You've always been there for me, even when no one else was.\n[00:47 - 00:51] Speaker A: Of course. I love you, Gionna. You're like a brother to me.\n[00:51 - 00:53] Speaker B: I love you too, Maryrose."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1097575.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey dad.\n[00:01 - 00:03] Speaker B: Hey son, how are you doing?\n[00:03 - 00:07] Speaker A: I'm good. I just wanted to talk to you about something.\n[00:07 - 00:08] Speaker B: What is it?\n[00:08 - 00:26] Speaker A: I was thinking about what you said the other day, about how important it is to have values. And I realized that I want to be a good son. I want to make you proud by making better choices and being more responsible in my actions, especially when it comes to my studies and how I treat others around me.\n[00:18 - 00:26] Speaker B: Tiberius, I am already proud of you. But what made you suddenly feel this way? Did something happen that made you think more about values?\n[00:26 - 00:33] Speaker A: Not really, it's just been on my mind lately. I want to make sure I'm living up to the person you raised me to be.\n[00:34 - 00:55] Speaker B: You don't have to do anything for me to be proud of you. Just being yourself is enough. But if you're trying to be a good son, then there are some things you should know. First of all, values are important because they help us make decisions in life. They guide us and help us figure out what's right and  how to stay true to ourselves, even when it's hard and everyone around you might be making different choices that don't align with your principles.\n[00:55 - 01:05] Speaker A: Sorry to cut you off, Dad, but could you give me an example of a value that you think is really important? I want to understand better how I can apply it in my life.\n[01:05 - 01:13] Speaker B: Sure, honesty is a big one. It's crucial to be truthful in your dealings with people. It builds trust and respect, and that's something that will carry you far in life."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--154340.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: It's good to see you again, old friend. It's been too long.\n[00:03 - 00:05] Speaker B: I'm glad you're back. I've missed you.\n[00:06 - 00:18] Speaker A: I've missed you too. But I'm happy to see that you're still standing strong despite everything that's happened and maintaining such a positive outlook on life through all these challenges we've faced over the years.\n[00:10 - 00:15] Speaker B: Sorry to cut in, but I just have to ask, how has everything been on your end all these years?\n[00:16 - 00:23] Speaker A: It's been a rollercoaster, honestly. But despite the ups and downs, I'm still here. And I'll be here for as long as you need me.\n[00:24 - 00:29] Speaker B: That's good to hear. I'm not sure how long I'll be staying, but I'll make the most of the time we have together.\n[00:29 - 00:36] Speaker A: Wait, before you finish, I just want to say that however long it is, your presence means a lot to me.\n[00:36 - 00:38] Speaker B: You're always welcome here, Keishawn."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115102.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I'm so grateful to have found you. You make me feel truly alive for the first time in my life.\n[00:06 - 00:11] Speaker B: I'm glad I could be here for you, Lamarion. I know it hasn't been easy for you in the past.\n[00:11 - 00:27] Speaker A: Yeah, I never knew that it was possible to feel this way. But now that I've found love, I feel like anything is within reach, like I can finally see a future full of possibilities and meaningful connections that I never thought would be possible for someone like me.\n[00:18 - 00:26] Speaker B: Sorry to interrupt, but I just have to say, it's amazing how much you've grown emotionally. Do you feel like you've learned something new about yourself through this experience?\n[00:26 - 00:37] Speaker A: Definitely. I've realized that I'm capable of deeper emotions than I ever imagined. And, as I was saying, now that I've found love, I feel like anything is possible.\n[00:37 - 00:44] Speaker B: That's how love should make you feel, Lamarion. Like you can conquer the world because you have someone by your side who believes in you.\n[00:44 - 00:50] Speaker A: I never knew that love could be so beautiful. Thank you for showing me what true happiness feels like.\n[00:50 - 00:55] Speaker B: I'm just glad I could be here for you, Lamarion. You deserve all the happiness in the world."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1023331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:02] Speaker B: Not much, what's up with you?\n[00:03 - 00:05] Speaker A: I'm feeling kind of down today.\n[00:05 - 00:07] Speaker B: Why, what happened?\n[00:07 - 00:24] Speaker A: I don't know, I just feel like everything is going wrong. My job is stressing me out, my relationship is not great, and I just feel like I can't catch a break lately. It's like no matter what I do, something else goes wrong and I'm stuck in this endless cycle of stress and disappointment.\n[00:17 - 00:24] Speaker B: Wait, is it something specific about your job that's stressing you out, or is it just everything piling up at once?\n[00:24 - 00:38] Speaker A: It's mostly everything piling up at once. But yeah, work has been really demanding lately, and it feels like I'm always behind. And then with my relationship, it's like we're not even on the same page anymore.\n[00:38 - 00:44] Speaker B: That sounds really tough. I'm sorry to hear that. It sounds like you could really use a friend right now.\n[00:44 - 00:48] Speaker A: Yeah, I guess so. It's just been a really tough week.\n[00:48 - 00:58] Speaker B: Well, let me see if I can make you laugh. Do you remember that time when we were in high school and we snuck out to go to that party? And then we got caught by your mom when we were trying to sneak back in through the window?\n[00:58 - 01:01] Speaker A: Oh my god, yes! My mom was furious!\n[01:02 - 01:08] Speaker B: We were so lucky she didn't ground us for life! But man, that was a close call. Just thinking about it still makes me laugh.\n[01:09 - 01:13] Speaker A: Yeah, me too. Just remembering her face when she caught us is hilarious.\n[01:14 - 01:20] Speaker B: Well, there you go! I'm glad I could make you laugh. Sometimes all we need is a good laugh to brighten our day."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--98947.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So tell me, what's it like living by the ocean?\n[00:03 - 00:26] Speaker B: It's amazing! I love it here. The weather is almost always perfect and there's just something about the sound of the waves that makes me feel so relaxed. Plus, there are so many fun things to do here. We can go fishing, swimming, surfing, kayaking...the list goes on and on with endless possibilities like beach volleyball tournaments at sunset, dolphin watching tours in the morning, and exploring hidden coves along the coastline during low tide.\n[00:17 - 00:25] Speaker A: Sorry to jump in, but I just got so excited hearing about all those activities. Do you think I could borrow a bathing suit from you?\n[00:25 - 00:29] Speaker B: Of course! I have a few that would probably fit you. Let me go grab one for you.\n[00:29 - 00:37] Speaker A: Thanks, I really appreciate it. By the way, you were saying there are many fun things to do here. What else do you recommend?\n[00:38 - 00:49] Speaker B: No problem, I'm just glad you're here. I know we're going to have a lot of fun this week. Also, besides the water activities, there are great hiking trails and local seafood restaurants you should definitely try."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--943593.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Sarah, I just love singing! It's one of my favorite things to do.\n[00:04 - 00:08] Speaker B: I can tell! You have an amazing voice. It fills up any room with joy.\n[00:09 - 00:28] Speaker A: Thanks, Sarah! I love singing songs from my favorite artist and bands, and sometimes making up my own lyrics to familiar tunes. My friends and family love when I serenade them during family gatherings and special occasions, especially when I perform classic ballads or upbeat pop songs that get everyone dancing and singing along.\n[00:20 - 00:25] Speaker B: Sorry to interrupt, Georgina, but I just got curious—do you ever perform at any local events or open mic nights?\n[00:26 - 00:37] Speaker A: I haven't done any local events yet, but it's something I would love to try. I was about to say that my friends and family love when I serenade them! Do you have any favorite songs to sing?\n[00:37 - 00:46] Speaker B: Oh, there are too many to name! But I really enjoy singing \"Don't Stop Believin'\" by Journey, \"I Will Always Love You\" by Whitney Houston, and \"Bohemian Rhapsody\" by Queen.\n[00:47 - 00:55] Speaker A: Those are all great songs! I'm sure your friends and family love hearing you sing them. Thanks for sharing your love of singing with me, Georgina!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--811940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Why are you being so casual about this? This is a serious situation, and you're just brushing it off as if it doesn't matter.\n[00:08 - 00:16] Speaker B: I'm sorry to interrupt, but I want to clarify—I wasn't trying to be casual. I just thought that since we're both okay, there was no need to worry too much.\n[00:16 - 00:24] Speaker A: Well, I'm not okay. I'm scared, and I don't know what's going to happen next. So please, just try to be more serious.\n[00:25 - 00:35] Speaker B: I am being serious. I'm just trying to stay calm so we can think clearly and make the best decisions in this situation by carefully considering all possible outcomes and potential solutions.\n[00:28 - 00:34] Speaker A: I get that, but when you say you're calm, it feels like you're downplaying how serious this is.\n[00:35 - 00:39] Speaker B: You're right, I'll stop making jokes. I didn't realize it was affecting you like this."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1149932.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: Hey boss, I've been thinking about the new project and I have some ideas I wanted to share with you about how we could potentially improve our approach to the customer journey by implementing more personalized touchpoints and analyzing behavioral data to create a truly seamless experience.\n[00:04 - 00:15] Speaker B: Sorry to jump in, but before we dive into new ideas, do we have a clear understanding of the current project's scope and objectives? I just want to make sure we're aligned before we consider any shifts in approach.\n[00:16 - 00:47] Speaker A: Absolutely, and that's actually part of why I'm suggesting this. If we focus on the customer's needs and wants, it could help us better define the project scope and objectives. Instead of starting with the product itself, I think we should take a step back and look at the entire customer experience from initial awareness through post-purchase satisfaction to identify key opportunities for improvement.\n[00:42 - 00:50] Speaker B: —focus on the customer's perspective first, right? That makes sense. Do you think we need to gather more customer feedback before we proceed?\n[00:51 - 01:02] Speaker A: Exactly, gathering more customer feedback would be crucial. By understanding what they're looking for, we can create a product that not only meets their needs but exceeds their expectations."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1025535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:18] Speaker A: Sarah, things are going really well for me right now. I have a great job, a nice place to live, and a bright future ahead of me. I'm so grateful for everything that's been happening lately, especially with the recent promotion at work and the new opportunities that have opened up for me in the past few months.\n[00:10 - 00:17] Speaker B: That's amazing to hear, Sierrah! But I have to ask, how are you managing to balance everything? I know how demanding your job can be.\n[00:17 - 00:37] Speaker A: It's definitely a challenge, but I've been focusing on time management and setting clear priorities. I was about to say I'm also really thankful for the support from friends like you because without your encouragement and the occasional pep talks when I'm feeling overwhelmed, it would be much harder to stay motivated and focused on my goals.\n[00:37 - 00:44] Speaker B: And you know I'll always be here to support you! But do you think you'll have time to catch up this weekend? It sounds like you could use a break."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--977434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Perri, I'm so sorry about what's going on. I can't imagine how you're feeling.\n[00:06 - 00:14] Speaker B: Thank you, Rudolph. I appreciate your concern, but I'll be all right eventually once I've had some time to process everything and work through these emotions that have been weighing me down.\n[00:09 - 00:17] Speaker A: Wait, before you say you're all right, I really want to know if there's anything specific I can do to help. Even small things matter.\n[00:18 - 00:28] Speaker B: I appreciate your offer, but I don't want to burden you with my problems. Besides, there's nothing you can do to help with the situation at hand; it's something I need to work through on my own.\n[00:28 - 00:35] Speaker A: I understand you feel that way, but sometimes just talking about it can make a difference. Can we start with that?\n[00:36 - 00:39] Speaker B: All right, Rudolph. Thank you for caring about me and wanting to help me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1095086.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: I can't breathe. I feel like I'm going to suffocate. *takes a deep breath* Why can't I just relax? *sighs* Maybe a walk will help clear my mind and give me some space to think things through properly without all these distractions and negative thoughts clouding my judgment.\n[00:09 - 00:15] Speaker B: Sorry to interrupt, but are you sure going out alone is a good idea? You know how easy it is to get lost around here.\n[00:16 - 00:31] Speaker A: I know, but I just needed some time to think. I'm tired of feeling like this all the time. I can't keep living like  this, constantly overwhelmed by my thoughts and emotions that seem to spiral out of control no matter how hard I try to manage them.\n[00:32 - 00:37] Speaker B: I get it, but what are you going to do? You can't just give up on everything. You have to keep fighting."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--775640.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Wow, I really love your painting of the cityscape! It's so beautiful and detailed.\n[00:05 - 00:06] Speaker B: Thank you, I'm glad you like it.\n[00:07 - 00:13] Speaker A: I'm actually thinking about getting a cityscape tattooed on my back. Would you be able to help me with that?\n[00:13 - 00:27] Speaker B: Sure, I can help you with that. What kind of cityscape are you thinking of incorporating into the design? I could create something custom that captures the energy and architecture of your favorite urban landscape in a way that flows perfectly with your body's contours.\n[00:17 - 00:24] Speaker A: Actually, I was considering New York City. I love the skyline, especially how the buildings light up at night.\n[00:24 - 00:34] Speaker B: Okay, that sounds like a great idea. I can help you with that. Do you have any specific landmarks or buildings in mind, like the Empire State or the Brooklyn Bridge? Those could really add to the overall look.\n[00:35 - 00:42] Speaker A: Oh, definitely the Empire State Building! And maybe the Statue of Liberty too. Those are must-haves for me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--280675.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Mom, I've been doing some research on different countries and their customs. I'm really interested in learning more about the world.\n[00:08 - 00:11] Speaker B: That's great, honey! What countries have you been looking into?\n[00:11 - 00:24] Speaker A: Well, I've been looking at a lot of different countries, but I'm really interested in learning more about Japan's rich cultural heritage and how it has evolved over centuries while maintaining its unique traditions and values.\n[00:17 - 00:22] Speaker B: That's great! What do you want to know about their traditional tea ceremonies or maybe their unique fashion trends?\n[00:23 - 00:36] Speaker A: Mom, I've been reading that the Japanese culture is very different from our own. For example, they have a lot of respect for their elders and their ancestors. They also place a high value on family ties and relationships.\n[00:36 - 00:46] Speaker B: That's true. The Japanese culture is very different from our own. But I think it's a good thing to learn about other cultures and customs. It can help us to better understand the world we live in.\n[00:47 - 00:57] Speaker A: Yes, and I've also heard that their festivals are quite unique and colorful. I was wondering if you could tell me more about the most famous ones, like maybe the cherry blossom festival?\n[00:58 - 01:07] Speaker B: Oh, their festivals are indeed fascinating! But before we move on, you mentioned respect for elders and ancestors. Did you read anything specific about their customs in that regard?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--40901.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: I'm sorry officer, I know I was speeding and I accept responsibility for my actions. It won't happen again because I've realized how irresponsible it was and I promise to be more mindful of speed limits from now on.\n[00:06 - 00:11] Speaker B: Krystal, you were going 15 miles over the speed limit. Do you know how dangerous that is?\n[00:12 - 00:17] Speaker A: Yes, officer. I'm sorry. I understand the danger, and it won't happen again.\n[00:17 - 00:31] Speaker B: Krystal, speeding is a serious offense. If you continue to speed, you could end up getting into a serious accident or even  cause harm to others on the road, especially in residential areas where children might be playing or pedestrians are crossing."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--262975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: You're always so helpful, Eamon. You always put a smile on somebody's face. I bet you could be a saint if you wanted to.\n[00:07 - 00:10] Speaker B: What do you mean? I don't think I'm that special.\n[00:11 - 00:26] Speaker A: I mean you're always helping others and making them happy. You never hesitate to put a smile on somebody's face, even when you're having a tough day yourself, and that kind of consistent kindness is exactly what makes someone truly special in my eyes.\n[00:17 - 00:21] Speaker B: Sorry to interrupt, but do you really think just helping others could qualify someone as a saint?\n[00:22 - 00:40] Speaker A: Well, it's not just about helping others, it's also about the intention behind it. But I don't think I could be a saint  because I sometimes struggle with my own issues and I'm not always as selfless as I'd like to be, though I do try my best to maintain a positive attitude and help whenever possible.\n[00:40 - 00:46] Speaker B: Why not? I mean, you already do so much to help others! And you make people happy, which is a good thing.\n[00:46 - 00:50] Speaker A: I guess you're right. Maybe I could be a saint then..."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--810624.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi, Karaline. I just wanted to check in with you and see how I'm doing.\n[00:05 - 00:17] Speaker B: You're doing great, Billy. I've been really impressed with your attention to detail and how you handle complex tasks, especially when it comes to troubleshooting technical issues and collaborating with different departments on cross-functional projects.\n[00:08 - 00:14] Speaker A: Actually, before you continue, I was wondering if there are any specific areas where I could improve?\n[00:15 - 00:30] Speaker B: Well, one thing I would suggest is being a little more proactive in your work. Sometimes it seems like you're waiting for me to tell you what to do next instead of taking the initiative  which could help you grow into more leadership roles in the future by demonstrating your ability to anticipate needs and solve problems before they arise.\n[00:31 - 00:41] Speaker A: Got it. I'll definitely work on being more proactive. Just to clarify, do you think this is affecting my overall performance, or is it more of a minor adjustment?\n[00:41 - 00:48] Speaker B: It's more of a minor adjustment, but it could make a big difference in how efficiently you complete tasks. Other than that, keep up the good work!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--748822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, can I talk to you for a second?\n[00:02 - 00:03] Speaker B: Yeah, what's up?\n[00:04 - 00:18] Speaker A: I just wanted to talk about what happened today. I feel like I could have handled the situation better if I had taken a step back and thought about it more calmly, perhaps by acknowledging their concerns first before jumping into explanations.\n[00:09 - 00:13] Speaker B: What situation are you referring to? Was it something with a client?\n[00:14 - 00:26] Speaker A: Yeah, I was talking to one of the clients and he started getting angry. I tried to diffuse the situation, but it didn't work and he ended up storming out of the room before I could fully explain our side of the issue.\n[00:26 - 00:32] Speaker B: Did he mention why he was upset? Maybe there was a specific issue we need to address.\n[00:32 - 00:38] Speaker A: He was frustrated about a delay in the project, which I tried to explain, but he wasn't having it.\n[00:38 - 00:49] Speaker B: Hmm. Well, it sounds like you did the best you could in a difficult situation. But next time, try not to engage with the client when they're getting angry. Just stay calm and let them vent until they calm down.\n[00:49 - 00:55] Speaker A: Alright, that makes sense. I'll definitely try that next time. Thanks for the advice."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--220023.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Thank you so much for your kind words and prayers, Father. It means a lot to me.\n[00:05 - 00:07] Speaker B: You're very welcome, Willow. How are you doing?\n[00:07 - 00:12] Speaker A: I'm doing all right, I guess. Just trying to take things one day at a time.\n[00:12 - 00:25] Speaker B: That's the best way to do it. So many things can happen in life that we can't control, but we can control how we react to those situations and find strength in our faith through prayer, community support, and maintaining hope even during the darkest moments.\n[00:19 - 00:29] Speaker A: Sorry to interrupt, Father, but what if it feels like no matter how I try to react, things just keep getting worse? Like, first my mom gets sick and then my dad loses his job...\n[00:30 - 00:39] Speaker B: Yes, I can imagine. That must be very difficult for you. But like I said, it's important to focus on what we can control. And one thing we can always control is our attitude.\n[00:40 - 00:43] Speaker A: Yeah...you're right. Thanks, Father.\n[00:43 - 00:47] Speaker B: You're welcome, Willow. Anytime you need to talk, don't hesitate to come see me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--532492.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Thank you so much for this opportunity. I'm really excited to start working here.\n[00:05 - 00:13] Speaker B: We're glad to have you on board. I think you'll be a great addition to our team, especially given your experience in this field and the fresh perspective you bring from your previous projects.\n[00:08 - 00:17] Speaker A: Sorry to jump in, but I wanted to ask—what are the immediate priorities for the team right now? I want to make sure I can hit the ground running.\n[00:17 - 00:28] Speaker B: That's a great question. We're currently focusing on streamlining our financial reporting process. I was about to say you'll be a great addition to our team, especially with your background in analytics.\n[00:28 - 00:34] Speaker A: I'm really looking forward to contributing to that. Streamlining processes is something I'm passionate about.\n[00:35 - 00:43] Speaker B: Great. I think you'll find that our accounting department is a great place to work. We're always looking for ways to improve and become more innovative in our approach.\n[00:43 - 00:53] Speaker A: Efficient, right? I was actually wondering if there are any specific tools or software you use that I should familiarize myself with before getting started?\n[00:53 - 01:00] Speaker B: Yes, efficiency is key for us. We primarily use SAP and QuickBooks, so getting up to speed on those would be really helpful.\n[01:01 - 01:06] Speaker A: That sounds like a really good environment to be in. I'm excited to help out however I can.\n[01:07 - 01:10] Speaker B: Excellent. I think you'll fit in well here. Welcome aboard!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--69581.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, what are you up to these days?\n[00:02 - 00:04] Speaker B: I'm thinking about going back to school.\n[00:04 - 00:15] Speaker A: Really? What made you consider that? I've been feeling the same way recently, especially since our industry has changed so much and requires more specialized skills than before.\n[00:06 - 00:11] Speaker B: Sorry to cut you off, but I just wanted to ask—have you thought about what you want to study?\n[00:11 - 00:24] Speaker A: I was about to say that I feel like I need to do something with my life. I can't keep working at this job forever. But to answer your question, I'm still figuring out what to study. What about you?\n[00:24 - 00:31] Speaker B: I've been thinking about it too, but I'm not sure yet. I just feel like I need a change, and it would be good for my career.\n[00:31 - 00:36] Speaker A: That's true. But are you sure you're ready for that? It's a lot of work.\n[00:36 - 00:40] Speaker B: Yeah, I know. But I'm willing to try it out and see how it goes.\n[00:41 - 00:44] Speaker A: Well, if you're serious about it, then you should definitely do it!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--819618.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, what are you looking forward to the most after graduation?\n[00:03 - 00:15] Speaker B: I don't know. Just being done with school, I guess. Having more free time to do what I want, like traveling to exotic destinations or just relaxing for a while while exploring new creative outlets and personal growth opportunities.\n[00:08 - 00:15] Speaker A: Sorry, I just thought of something—how do you plan to use that free time? Any specific hobbies or projects in mind?\n[00:15 - 00:22] Speaker B: Honestly, I haven't thought that far ahead. I guess I might pick up some old hobbies again, like painting or maybe even start learning something new. You?\n[00:23 - 00:37] Speaker A: Yeah, same here. It'll be nice to not have to worry about homework and tests all the time. But I'm also kind of scared about what the future holds, especially when it comes to finding a job that I really enjoy.\n[00:37 - 00:38] Speaker B: Scared? Why?\n[00:39 - 00:50] Speaker A: I was going to say, scared about what comes next. It just feels like there's a lot of pressure to figure out your life after graduation. And I have no idea what I want to do with my life.\n[00:51 - 01:03] Speaker B: Yeah, that can be tough. But you'll figure it out eventually. And even if you don't have everything figured out right away, it's not the end of the world. There's always time to make changes and try new things later on down the road."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--98281.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: Hey, Mak. I noticed your place was a little messy and I wanted to help you organize some things, maybe start with the living room and then we can tackle the kitchen if you'd like since I know that area tends to accumulate clutter quickly.\n[00:04 - 00:10] Speaker B: Oh, thanks so much, Kelechi. I've been so busy with work and school lately that I haven't had time to clean up.\n[00:11 - 00:15] Speaker A: No problem, I understand. It's tough when you're constantly on the go.\n[00:16 - 00:18] Speaker B: Yeah, I appreciate it.\n[00:18 - 00:21] Speaker A: So, what have you been up to lately? How's work?\n[00:22 - 00:35] Speaker B: Work is good. I'm just really busy and stressed out\n[00:35 - 00:41] Speaker A: Is it something specific that's stressing you out? Maybe I can help with that too.\n[00:42 - 00:48] Speaker B: Honestly, it's just a lot of deadlines piling up, but I think I've got it under control. Thanks for helping me with the cleaning, though.\n[00:49 - 00:52] Speaker A: Anytime, Mak. Let me know if you need anything."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1029082.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Hey, thanks for coming over. It's been a rough few days filled with sleepless nights and constant reminders of my loss, and I just needed someone to talk to.\n[00:03 - 00:05] Speaker B: No problem, Alix. What's going on?\n[00:06 - 00:14] Speaker A: Well, my mom died a few weeks ago and I've been having a hard time dealing with it. I'm just feeling really down and lost right now.\n[00:15 - 00:22] Speaker B: I'm so sorry to hear that, Alix. It's totally understandable that you're feeling this way. Do you want to talk about it? I'm here for you.\n[00:23 - 00:36] Speaker A: Yeah, I think that would help. It's just been so hard. I miss her so much. We were really  close, sharing everything from daily routines to deep conversations about life, and I don't know how to cope with this loss.\n[00:36 - 00:41] Speaker B: I can only imagine how painful it must be. Were there any specific memories that have been on your mind lately?\n[00:41 - 00:48] Speaker A: We were really close. She was the most important person in my life. I don't know what I'm going to do without her.\n[00:49 - 00:54] Speaker B: It's going to be tough, but you'll get through it. You're strong and you have a lot of people who love and support you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--719199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I really want to finish this so I don't waste any time.\n[00:03 - 00:15] Speaker B: Yeah, me too. I hate it when I have to spend extra time on something because I wasn't careful and then end up having to redo everything from scratch while dealing with the frustration of knowing it could have been avoided with more attention to detail initially.\n[00:08 - 00:17] Speaker A: Oh, I know exactly what you mean. That's why I'm being as careful and concise as possible in my actions. Hopefully, that'll help me finish sooner.\n[00:17 - 00:23] Speaker B: Right, but if you rush too much, you might miss something important. Are you sure you're not overlooking any details?\n[00:24 - 00:32] Speaker A: That's a good point. I'm trying to balance speed with accuracy, but this is tougher than it looks especially with the tight deadline we're working under.\n[00:32 - 00:37] Speaker B: I can imagine. Maybe a second pair of eyes would help? Let me know if you need any help.\n[00:37 - 00:42] Speaker A: I appreciate that. I might take you up on that offer. Thanks again."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--338832.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: This is such bullshit. I can't believe I'm going to prison for five years.\n[00:04 - 00:20] Speaker B: Amaree, we did everything we could. The jury found you guilty and the judge handed down the sentence. There's nothing more we can do to change that right now, but we can start preparing your appeal immediately and explore all possible legal avenues to reduce your sentence or overturn the conviction.\n[00:12 - 00:15] Speaker A: But five years! That's my life!\n[00:15 - 00:35] Speaker B: I know it's hard to accept, but you have to try to make the best of the situation. You'll be able to appeal the sentence, and if that doesn't work, maybe you can get parole after a few years. In the meantime, try to stay positive and focus on how you can use this time to better yourself through education programs, vocational training, or even just maintaining your physical and mental health for when you're released.\n[00:36 - 00:39] Speaker A: It's just not fair. I didn't do anything wrong.\n[00:40 - 00:51] Speaker B: I know you feel that way, but the jury didn't see it that way. They found you guilty and now you have to pay the price. We can still look into other legal options while you're inside, but it's important to keep your head up.\n[00:52 - 00:53] Speaker A: This is such bullshit."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--69960.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: Hey, I just saw a post on Facebook from my old boss. They're downsizing and my position has been eliminated. I'm out of a job, and it feels like everything just came crashing down so suddenly without any warning or chance to prepare for this major life change.\n[00:08 - 00:10] Speaker B: Oh no, Camrynn! What are you going to do now?\n[00:10 - 00:18] Speaker A: I don't know. I'll have to look for another job, I guess. But it's not going to be easy with the current state of the economy.\n[00:18 - 00:29] Speaker B: Do you want to move back in with your parents? You could save some money that\n[00:29 - 00:40] Speaker A: No, Kaitlyn, I don't want to do that. I'm a grown man and I can take care of myself. Plus, they live in a different state and it would be too much of a hassle to move all my stuff there.\n[00:41 - 00:46] Speaker B: Well, you could always stay with me. I have a spare bedroom and we could help each other out financially.\n[00:47 - 00:55] Speaker A: Thanks, Kaitlyn. I appreciate your offer, but I think I'll be okay. I'll start looking for another job and hopefully everything will work out."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1188579.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Sarah! What's up?\n[00:02 - 00:03] Speaker B: Not much, what's up with you?\n[00:04 - 00:20] Speaker A: I'm just getting ready to go on another adventure. I'm thinking about heading out west this summer to explore some new places and get a break from the city, maybe even try some hiking trails I've never experienced before and document everything with my new camera.\n[00:09 - 00:15] Speaker B: Oh, west? That sounds exciting! Are you planning to visit any specific places, like national parks or cities?\n[00:16 - 00:28] Speaker A: Yeah, I was actually thinking of exploring some national parks. I know it's not always easy for you to get away, but I really appreciate your understanding and encouragement even when you can't join me.\n[00:28 - 00:34] Speaker B: I wish I could join you, but I have to stay here and take care of my family. You're always so lucky to be able to travel wherever you want.\n[00:35 - 00:40] Speaker A: Thanks, Sarah. I know it's tough for you, but your support really means a lot to me.\n[00:41 - 00:45] Speaker B: Of course, Efren. You're my best friend. I just want you to be happy and safe on your trip.\n[00:46 - 00:48] Speaker A: I will, Sarah. I promise."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1185164.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: I wanted to go over my game plan with you and make sure I have everything I need so that I can focus on the task at hand and not get distracted by anything else during the event, especially since this is such an important competition with so many talented athletes participating.\n[00:07 - 00:12] Speaker B: Absolutely, Yoel. Let's make sure you're fully prepared. What's the first thing on your game plan?\n[00:12 - 00:19] Speaker A: Okay, well first off, I'll be doing a lot of stretching to make sure my muscles are loose and ready to go.\n[00:19 - 00:25] Speaker B: Stretching is always important before an event. Make sure you warm up your muscles properly so you don't pull anything.\n[00:26 - 00:29] Speaker A: Yeah, I definitely don't want to get injured before the big event.\n[00:30 - 00:35] Speaker B: Exactly. After you've stretched and warmed up your muscles, what's next on your game plan?\n[00:35 - 00:50] Speaker A: Well, I'm going to review the course layout and visualize myself running it  so I can anticipate any tricky sections and plan my pacing accordingly, while also considering different weather conditions that might affect my performance on race day.\n[00:50 - 00:56] Speaker B: Sorry to jump in, but do you already have a mental strategy for handling any unexpected obstacles on the course?\n[00:56 - 01:10] Speaker A: That's a good point. I haven't focused much on unexpected obstacles, but I think I should incorporate that into my visualization. After that, I'm just going to try to stay calm and relaxed until it's time to race.\n[01:10 - 01:18] Speaker B: Being calm and relaxed is important too because if you're too tense, your muscles will tighten up and you won't perform as well as you could have otherwise."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--156618.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm here for you if you need to talk.\n[00:02 - 00:14] Speaker B: Yeah, I'm just feeling a bit overwhelmed lately. Everything seems to be happening all at once and I can't seem to find a way to manage it all effectively while still maintaining my personal relationships and self-care routines.\n[00:08 - 00:15] Speaker A: Sorry to jump in, but when you say \"everything,\" is there something specific that's been weighing on you more than the rest?\n[00:15 - 00:19] Speaker B: It's mostly work. I'm trying to juggle multiple projects, and it's like I can't keep up.\n[00:20 - 00:27] Speaker A: That sounds tough. Do you want to go for a walk with me and the dog? Sometimes getting some fresh air can help clear your head.\n[00:28 - 00:30] Speaker B: Yeah, that sounds good. Let's go.\n[00:30 - 00:33] Speaker A: So, what do you see yourself doing in five years?\n[00:33 - 00:44] Speaker B: I'm not really sure. I want to be doing something that I love, but I'm not sure what that is\n[00:45 - 00:52] Speaker A: I totally get that. But have you thought about what you're passionate about? Maybe that could guide you.\n[00:53 - 00:59] Speaker B: Yeah, I think about it sometimes, but nothing really stands out yet. I'll definitely keep exploring. Thanks for the advice."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--648176.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Good morning, Mr. Nguyen! I hope you're doing well today.\n[00:03 - 00:05] Speaker B: I'm doing well, thank you. How are you?\n[00:06 - 00:17] Speaker A: I'm feeling great today! I have a lot of energy and I'm excited to tackle some new projects and challenges that will help us improve our workflow and achieve better results for our clients.\n[00:10 - 00:16] Speaker B: Sorry to interrupt, but I wanted to ask if there's anything specific you're looking forward to today?\n[00:16 - 00:33] Speaker A: I was going to say I'm excited to start my day. Actually, I'm looking forward to a team meeting we have later. I love working here. It's a great environment and the people are really  supportive and collaborative, always willing to share their expertise and help each other grow professionally.\n[00:33 - 00:40] Speaker B: I'm glad to hear that! Speaking of the team, do you think we should plan more team-building activities to maintain this positive environment?\n[00:41 - 00:49] Speaker A: That's a great idea! We could definitely benefit from more team-building activities. We're happy to have you on our team."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--740576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm leaving. I can't take it here anymore.\n[00:03 - 00:04] Speaker B: What do you mean? What's wrong?\n[00:05 - 00:14] Speaker A: Everything. I'm just done. I need to get out of here before I lose myself completely and end up becoming someone I don't even recognize in the mirror anymore.\n[00:08 - 00:13] Speaker B: Wait, are you sure this is the right decision? Have you thought about where you'll go or how you'll manage?\n[00:14 - 00:17] Speaker A: I don't know. Away from here. Anywhere but here.\n[00:18 - 00:20] Speaker B: But why? What's wrong with here?\n[00:20 - 00:34] Speaker A: It's just too much. The pressure, the expectations, the constant judgment. I can't take it  anymore, and I need to find a place where I can breathe and be at peace without constantly worrying about meeting other people's impossible standards.\n[00:35 - 00:39] Speaker B: But what about your family? Your friends? They care about you. Leaving would be hard on them.\n[00:39 - 00:49] Speaker A: I'll make new ones. Somewhere else where people don't know me and don't have any preconceived notions about who I am or what I'm supposed to be like.\n[00:50 - 00:51] Speaker B: But won't you be lonely?\n[00:51 - 01:01] Speaker A: No, I'll be free. Free to be myself without having to put on a show all the time. Besides, it's not like I'm going to be completely alone. I'll still have you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--159893.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: I feel like we're missing out on something. The world feels like it's spinning and we're just standing still, not really moving forward or making any progress while everyone else seems to be living their lives to the fullest and experiencing new adventures every day.\n[00:05 - 00:11] Speaker B: I know exactly what you mean. It's like we're in a rut, just going through the motions without really engaging with what's happening around us.\n[00:12 - 00:28] Speaker A: I want to find out what's going on in the world. I feel like a secret mission would be the best way to  get out of this routine and really immerse ourselves in what's happening out there by connecting with different communities and uncovering stories that aren't being told in mainstream media.\n[00:28 - 00:34] Speaker B: A secret mission? Hold on, do you mean something like gathering information or actually getting involved in some way?\n[00:34 - 00:44] Speaker A: Both, actually. I mean, let's go out and explore. Talk to people, learn about what's happening in the world. Maybe we can even make a difference.\n[00:44 - 00:46] Speaker B: That sounds incredible! Where should we start?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--471036.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey there, Jerron! Welcome to the crime beat. I'm sure you're excited to get started on such an important story.\n[00:07 - 00:14] Speaker B: Yeah, I am! I can't wait to get started and see what kind of leads we can uncover. It's going to be a challenge, but I'm ready for it.\n[00:14 - 00:30] Speaker A: Well, you came to the right place. We've got a lot of experience with this sort of thing around here. So, where do you want to begin? Do you have any particular areas of interest in mind or specific angles you'd like to explore first regarding this complex investigation?\n[00:21 - 00:29] Speaker B: Actually, before we dive into that, could you tell me more about the team's experience with similar cases? It might help me get a better sense of how we approach things here.\n[00:30 - 00:48] Speaker A: Sure, we've handled a variety of cases, ranging from high-profile murders to organized crime. Our approach is very methodical, and we rely heavily on building strong relationships with sources. Speaking of which, do you have any specific methods you prefer when it comes to gathering information?\n[00:49 - 00:57] Speaker B: I'm glad you mentioned sources. How do you usually establish those relationships? I think that will be crucial for us to get reliable information.\n[00:57 - 01:13] Speaker A: Building trust is key. It often starts with small, consistent interactions—showing that you're genuinely interested in their perspective. I was going to mention specific leads we have on this case, but we can circle back to that once we discuss how to handle sources."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1010433.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: What the hell are you doing back in town? I thought I told you to stay away after everything that happened last time and how much damage you caused to everyone involved, including yourself.\n[00:04 - 00:07] Speaker B: I came back to see my family. What's it to you?\n[00:07 - 00:12] Speaker A: You're not welcome here, Kaylynn. You need to leave before you cause any more trouble.\n[00:12 - 00:30] Speaker B: I'm not causing any trouble. I just want to see my family. Why are you so against that? Is it because of what happened between us? Because I'm sorry about that, Jaylinn. I was young and stupid and I didn't know what I was\n[00:31 - 00:40] Speaker A: Kaylynn, this isn't just about what happened between us. It's about the chaos you bring every time you're here. Your family has been through enough.\n[00:40 - 00:55] Speaker B: That's not what I wanted to hear, Jaylinn. But I guess it was to be expected from you. You were always more interested in your own life than anyone else's. Well, I'm not going to give up on my family, no matter how much you want me to. I'm going to find a way back into their lives, whether you like it or not.\n[00:55 - 01:04] Speaker A: You're wasting your time, Kaylynn. They don't want anything to do with you. Just give up and leave town before you cause any more pain."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--583537.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: I'm such a klutz! I can't believe I just tripped over my own shoelaces again! I really need to start double-knotting them or maybe even switch to shoes with velcro straps to avoid these embarrassing situations in the future.\n[00:04 - 00:04] Speaker B: Are you okay?\n[00:05 - 00:08] Speaker A: Yeah, I'm fine. Just embarrassed as usual.\n[00:08 - 00:15] Speaker B: Don't worry about it. We've all been there before. Where are you trying to head to, anyway? Maybe I can help you find your way.\n[00:16 - 00:20] Speaker A: I'm not really sure. I was just walking around and got turned around somehow.\n[00:21 - 00:30] Speaker B: Well, let's try and retrace your steps then. Where was the last place you remember being before you got lost? Maybe that can help us figure out where you need to go.\n[00:30 - 00:36] Speaker A: Um...I think it was the grocery store? But I'm not sure. Everything looks so different now.\n[00:36 - 00:46] Speaker B: Okay, well the grocery store is only a few blocks away. Let's start walking that way and see if we can find it again. Hopefully someone there will be able to help us out if we're still lost after that.\n[00:47 - 00:52] Speaker A: Alright. Sounds like a plan. Thanks for your help, I really appreciate it.\n[00:52 - 00:54] Speaker B: No problem! That's what friends are for."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--677446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: I had a light dinner of soup and salad. I feel full afterwards and go to bed feeling like I made a healthy choice, but I know I should be more mindful of my overall diet and consider adding some protein-rich foods to maintain my energy levels throughout the night.\n[00:05 - 00:11] Speaker B: Sorry to jump in, but are you sure that's enough? You need to take care of yourself, especially with your health problems.\n[00:11 - 00:18] Speaker A: I know. I just feel like I need to be careful with what I eat. I don't want to end up making myself sick.\n[00:18 - 00:34] Speaker B: You're right, you should be careful. But you also need to make sure you're getting enough nutrients. Soup and salad might not be\n[00:36 - 00:42] Speaker A: I get what you're saying, and I'll try to have a more balanced meal tomorrow. But tonight, I just really want to sleep."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--8155.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey Yoselin, can you come here for a sec?\n[00:03 - 00:04] Speaker B: What's up?\n[00:04 - 00:06] Speaker A: I need to talk to you about something.\n[00:06 - 00:07] Speaker B: What is it?\n[00:07 - 00:21] Speaker A: It's just that I've been asking you to do things or stop doing things and you never seem to take it seriously, which makes me feel a bit ignored and undervalued in our relationship, especially when it happens repeatedly over time.\n[00:13 - 00:17] Speaker B: Oh, I didn't realize that was happening. Can you give me an example so I can understand better?\n[00:18 - 00:24] Speaker A: Sure, like when I asked you to lower the volume last night. I felt like I wasn't being heard.\n[00:24 - 00:26] Speaker B: I'm sorry, I didn't realize I was doing that.\n[00:27 - 00:34] Speaker A: It's just frustrating because I feel like I'm not being respected in those moments, and it makes it harder to communicate.\n[00:34 - 00:39] Speaker B: I totally get it now. So, what can I do to make sure this doesn't happen again?\n[00:39 - 00:49] Speaker A: Maybe we can set up some ground rules or something. For example, if I ask you to do something, maybe you can try to do it right away or at least acknowledge that you heard me.\n[00:50 - 00:54] Speaker B: Yeah, that makes sense. I'll definitely try to do better with that from now on."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--834165.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I miss you so much, Brihanna. I love you.\n[00:03 - 00:05] Speaker B: I love you too, Jordy. I miss you too.\n[00:06 - 00:16] Speaker A: It's just not the same without you. I don't know what to do with myself when you're not around because everything feels empty and meaningless without your presence in my daily life.\n[00:09 - 00:13] Speaker B: Jordy, I know it's hard, but have you been able to talk to anyone about how you're feeling?\n[00:14 - 00:21] Speaker A: Not really, I just—it's like no one else understands. But I was going to say, I don't know what to do to feel better.\n[00:21 - 00:25] Speaker B: Maybe we can figure out some small steps together? You don't have to do this alone.\n[00:26 - 00:31] Speaker A: That would help, Brihanna. I just need to feel like you're still with me somehow.\n[00:31 - 00:34] Speaker B: I'm always with you, Jordy. Even when it's tough, remember that."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--634390.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much, what's up with you?\n[00:03 - 00:05] Speaker A: Just getting a drink. You want one?\n[00:06 - 00:07] Speaker B: Sure, thanks. So, what's new?\n[00:08 - 00:17] Speaker A: Not much. Just hanging out, doing my thing. You know how it goes, just trying to keep things chill and enjoy the little moments that make life interesting.\n[00:12 - 00:16] Speaker B: Sorry to jump in, but I just remembered—did you hear about that new spot opening downtown?\n[00:16 - 00:23] Speaker A: Oh yeah, I did! It sounds pretty cool. I was actually planning to check it out this weekend. What about you?\n[00:24 - 00:30] Speaker B: Definitely. I was thinking of going too. Maybe we could go together? So, what have you been up to lately?\n[00:30 - 00:35] Speaker A: Just the usual, you know. Going to school, hanging out with friends. You?\n[00:35 - 00:41] Speaker B: Yeah, pretty much the same. Just trying to stay busy and have some fun. So how's your year going so far?\n[00:41 - 00:48] Speaker A: It's going good. I'm just taking it one day at a time, you know. But I'm enjoying it. How about you?\n[00:48 - 00:55] Speaker B: Yeah, I'm having a good time too. Just living life and enjoying it while I can. So what are your plans for the future?\n[00:55 - 01:08] Speaker A: I don't really know yet. I'm just taking things as they come and seeing where they lead me. But I'm open to anything right now. What about you? Any big plans for the summer, like maybe a road trip or something?\n[01:08 - 01:13] Speaker B: Actually, I've been thinking about maybe traveling after graduation. Have you considered that?\n[01:13 - 01:27] Speaker A: Traveling sounds amazing! I hadn't really thought about it, but now that you mention it, it could be a great idea. Maybe we could even plan something"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--250677.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: I'm feeling great, thanks for asking. Just got done with a workout and I'm feeling refreshed and ready to tackle the day with renewed energy and focus, especially since I've got some important meetings scheduled this afternoon.\n[00:05 - 00:08] Speaker B: You look it! What kind of workout did you do?\n[00:08 - 00:25] Speaker A: Oh, just some weightlifting and cardio. I like to start my day with a good workout; it really gets me going for the rest of the day, especially when I have a busy schedule ahead and need to maintain both physical stamina and mental clarity throughout my various commitments.\n[00:23 - 00:27] Speaker B: I should try that sometime. Do you usually mix it up, or do you stick to the same routine?\n[00:28 - 00:33] Speaker A: I usually mix it up to keep things interesting. It's really helped me out a lot.\n[00:33 - 00:35] Speaker B: So, what's on your agenda for today?\n[00:35 - 00:41] Speaker A: I'm not really sure yet. I was thinking of maybe doing some shopping or something. What about you?\n[00:42 - 00:45] Speaker B: Oh, nothing too exciting. I have to work today unfortunately.\n[00:45 - 00:49] Speaker A: That sounds like a drag. I hope you have a good day though!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--179376.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: Listen, Dagny. I know you're angry and you have every right to be. But I need you to try and make peace with what happened. It's the only way you're going to be able to start healing and move forward with your life, to find new purpose and rebuild what was broken without carrying this heavy burden forever.\n[00:10 - 00:16] Speaker B: But how can I just make peace with it, Jazmyn? It feels like if I let go of this anger, I'm letting them get away with it.\n[00:17 - 00:34] Speaker A: I get it, I really do. But holding onto that anger isn't going to bring any justice. It's only going to hurt you more in the long run. You need to find a way to let go, otherwise it will consume you. Trust me, I know from my own struggles with holding onto resentment for too long.\n[00:35 - 00:41] Speaker B: You know from experience, right? But what if my experience is different? What if letting go means losing the fight entirely?\n[00:42 - 00:49] Speaker A: It's not about losing the fight, Dagny. It's about finding a way to keep fighting without destroying yourself in the process.\n[00:50 - 00:55] Speaker B: Alright, Jazmyn. I'll try. I'm not making any promises, but I'll try.\n[00:55 - 00:58] Speaker A: Thank you, Dagny. That's all I can ask for."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--152172.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I've been thinking a lot about having a child.\n[00:02 - 00:04] Speaker B: Oh? What's brought this on?\n[00:04 - 00:23] Speaker A: I don't know... I just feel like I'm ready to take on the responsibility of caring for another human being. And I want to raise a child with my own values and create a nurturing environment where they can thrive and grow into compassionate, well-rounded individuals who can contribute positively to society.\n[00:15 - 00:21] Speaker B: Wait, when you say \"values and beliefs,\" do you mean the ones we both share, or are there specific ones you're thinking of?\n[00:21 - 00:36] Speaker A: I think it's a mix of both. I want to make sure we instill the values that are important to us as a couple. But obviously, it's a huge commitment, and I'm willing to make that because I believe it will be one of the most rewarding experiences of our lives.\n[00:36 - 00:42] Speaker B: I agree, it's a massive commitment. But before we go any further, have we thought about how this will impact our current lifestyle?\n[00:43 - 00:51] Speaker A: That's a good point. We should definitely discuss how this decision will affect our day-to-day lives and make sure we're fully prepared."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--501206.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi there! I'll have a double scoop of mint chocolate chip in a waffle cone, please.\n[00:04 - 00:07] Speaker B: Coming right up! That'll be $3.50.\n[00:07 - 00:08] Speaker A: Thank you!\n[00:09 - 00:10] Speaker B: You're welcome. How's your day going?\n[00:11 - 00:28] Speaker A: It's going great, thanks for asking. I just got out of work and I'm feeling pretty good about life right now after successfully completing a major client project that involved creating a comprehensive branding package including logos, color schemes, and marketing materials.\n[00:17 - 00:19] Speaker B: Oh, what kind of work do you do?\n[00:19 - 00:28] Speaker A: I work in graphic design. I was saying, I'm feeling good about life right now. This ice cream is definitely going to make my day even better.\n[00:29 - 00:34] Speaker B: That's great to hear! I'm glad we could help you out. Make sure to come back and see us again soon!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--205208.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: Thank you so much for donating to our benefit! We really appreciate your support—it makes a big difference to our cause and allows us to expand our outreach programs to more underserved communities across the region.\n[00:04 - 00:09] Speaker B: Sorry to interrupt, but I was wondering, how exactly will the funds be used to help the children?\n[00:09 - 00:27] Speaker A: The funds will be allocated towards providing basic necessities like food, clothing, and educational materials. The children who will be helped by this benefit are really in need. I'm glad we were able to get your donation because it will directly impact the quality of life for these kids.\n[00:27 - 00:34] Speaker B: Yeah, it's heartbreaking to see kids go without basic necessities. I'm glad we could help out in some small way.\n[00:34 - 00:37] Speaker A: Every little bit helps. Thank you again.\n[00:38 - 00:38] Speaker B: You're welcome."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--237231.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much, just hanging out at home. What about you?\n[00:04 - 00:11] Speaker A: I'm doing good. Just finished up some homework and now I'm relaxing. What have you been up to today?\n[00:11 - 00:22] Speaker B: I went to the gym and then ran some errands. I also had lunch with a friend. How was your day? Did you get everything done that you needed to and were you able to find time for yourself amidst all your responsibilities?\n[00:17 - 00:22] Speaker A: Sorry to jump in, but what did you have for lunch? I've been looking for new places to try.\n[00:23 - 00:29] Speaker B: Oh, we went to that new Italian place downtown. The pasta was amazing! Anyway, how was your day?\n[00:29 - 00:42] Speaker A: It was good. I went to my classes and then met up with a study group. After that, I went to the library to do some research for a paper. Then I came home and made dinner. What are you up to tonight?\n[00:42 - 00:45] Speaker B: Just relaxing at home, watching TV and stuff. You?\n[00:45 - 00:50] Speaker A: Same here. But I think I'm going to head to bed soon, it's been a long day.\n[00:50 - 00:54] Speaker B: Alright, well goodnight! Thanks for chatting with me tonight!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--674707.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Thank you so much for helping me find the perfect dress! I feel like a million bucks in it.\n[00:05 - 00:16] Speaker B: You're welcome, Waleed! I'm glad we were able to find something that made you feel confident and ready for your upcoming event while also complementing your personal style and making you stand out in the best possible way.\n[00:10 - 00:18] Speaker A: Oh, speaking of confidence, I have a big event coming up next week. Do you think this dress is appropriate for a formal dinner?\n[00:18 - 00:25] Speaker B: Absolutely, this dress is versatile enough for a formal dinner. It's always our goal to help our customers feel their best.\n[00:25 - 00:31] Speaker A: Well, you definitely succeeded with me. I'll definitely be back the next time I need something special.\n[00:31 - 00:33] Speaker B: We look forward to seeing you again soon!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--258235.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I forgot my coat and now I'm cold.\n[00:03 - 00:12] Speaker B: That sucks. You should have remembered to grab it before you left the house this morning because the weather forecast clearly predicted this sudden temperature drop and strong winds.\n[00:06 - 00:14] Speaker A: I know, I know. I just wasn't thinking and now I'm paying the price. It's just so cold out and I didn't bring a sweater or anything.\n[00:15 - 00:17] Speaker B: Well, you could always go back home and get your coat.\n[00:18 - 00:30] Speaker A: Yeah, but then I'd have to walk all the way back home in this cold weather and I don't really want to\n[00:30 - 00:35] Speaker B: I get it, but maybe it's worth it to avoid getting sick. Or, you know, you could borrow a coat from someone else?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--966021.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Wow, that was an amazing trick! How did you do it?\n[00:04 - 00:15] Speaker B: It's a secret. But I can tell you that it involves sleight of hand and a lot of practice to perfect the timing, along with understanding human psychology and how people naturally follow movement patterns.\n[00:08 - 00:13] Speaker A: Wait, sleight of hand? Does that mean it's all about speed and dexterity?\n[00:13 - 00:21] Speaker B: Exactly, that's a big part of it. But misdirection is just as important. Can you guess how I made you focus on my left hand while the trick was happening in my right?\n[00:21 - 00:26] Speaker A: Misdirection? Like making people look somewhere else while you do the trick?\n[00:26 - 00:30] Speaker B: Yes, precisely. And if you practice, I think you'll be able to learn it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--991838.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: The future is going to be so different, Arrianna. There will be new technology and people will live in floating cities or even colonies on other planets where they'll have access to advanced life support systems and sustainable energy sources.\n[00:05 - 00:11] Speaker B: Sorry, I just got so excited! Do you really think people will live in space? How would that even work?\n[00:12 - 00:26] Speaker A: Yes, I think it's quite possible. Advances in technology are making it more feasible. People will have jet packs and they'll be able to travel quickly and efficiently over short distances, making daily commutes much easier.\n[00:26 - 00:32] Speaker B: Jet packs? Wow, that would be so cool! But wouldn't there be safety concerns with everyone flying around?\n[00:32 - 00:51] Speaker A: Safety would definitely be a consideration, but with proper regulations and technology, it could be managed. And there will also be flying cars! Can you imagine  how much time we'd save on our daily commutes and how much more accessible remote locations would become with this revolutionary transportation technology?\n[00:51 - 00:56] Speaker B: Flying cars would be awesome! I wouldn't even mind being stuck in traffic if I could fly above it all."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--951487.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hi.\n[00:01 - 00:02] Speaker B: Hi. Who are you?\n[00:02 - 00:06] Speaker A: I'm Dariela. I work in the building next door.\n[00:06 - 00:09] Speaker B: Nice to meet you, Dariela. I'm Arman.\n[00:09 - 00:14] Speaker A: I know who you are. I've seen you around the neighborhood and I've been wanting to talk to you for a while.\n[00:15 - 00:16] Speaker B: Oh, really? What about?\n[00:17 - 00:29] Speaker A: I don't know, just anything really. You seem like a nice person and I thought it would be nice to have a friendly chat and maybe grab a coffee sometime since we're neighbors and could potentially become good friends over time.\n[00:22 - 00:28] Speaker B: Sorry to interrupt, but have we met before at any neighborhood events? Your face seems familiar.\n[00:28 - 00:36] Speaker A: No, I don't think we've officially met. I just recognize you from around. As I was saying, I thought it would be nice to get to know you better.\n[00:37 - 00:42] Speaker B: That's very sweet of you. I appreciate your interest, but I'm not really looking to make any new friends right now.\n[00:43 - 00:52] Speaker A: That's okay, I understand. Maybe we could just talk for a little bit? I promise I won't take up too much of your time or make you uncomfortable.\n[00:52 - 00:57] Speaker B: Actually, I'm curious, what made you decide to approach me today specifically?\n[00:57 - 01:10] Speaker A: Well, I saw you sitting here alone and thought it was a good opportunity. I promise I won't  take up too much of your time because I genuinely respect your boundaries and just wanted to make a friendly connection.\n[01:11 - 01:12] Speaker B: All right, Dariela. Let's talk."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--691830.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Hey, do you have a minute? I wanted to chat with you about something important that's been on my mind lately regarding our upcoming group project and how we should divide the workload among team members.\n[00:03 - 00:05] Speaker B: Oh, sorry, I'm kind of in a hurry.\n[00:06 - 00:09] Speaker A: That's okay, I'll walk with you. So, what's up?\n[00:10 - 00:12] Speaker B: Just getting some things done before my classes start.\n[00:13 - 00:15] Speaker A: What classes are you taking this semester?\n[00:15 - 00:17] Speaker B: English and math. You?\n[00:17 - 00:21] Speaker A: History and science. Do you like your schedule this semester?\n[00:22 - 00:27] Speaker B: Wait, did you say science? I heard that class is really tough. How are you finding it?\n[00:27 - 00:33] Speaker A: It's challenging, but I think I can manage. I was asking if you like your classes so far?\n[00:33 - 00:36] Speaker B: Yeah, they're interesting. I'm just worried about the workload.\n[00:37 - 00:43] Speaker A: Yeah, I know what you mean. But it's only the first week, so hopefully it won't be too bad.\n[00:43 - 00:48] Speaker B: Yeah, I hope so too. Hey, I gotta go or I'll be late for my class. Nice talking to you!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--791383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I feel so much better since I started taking this medication. It's like night and day.\n[00:05 - 00:17] Speaker B: I'm glad to hear it. How have your mood and energy levels been since you started the medication? Have you noticed any significant changes in your daily routine or productivity levels that might be related to the medication's effects?\n[00:10 - 00:16] Speaker A: Actually, I just wanted to ask, have you noticed any side effects since you started the medication?\n[00:17 - 00:21] Speaker B: They've both improved a lot. I was really struggling before, but now I feel like myself again.\n[00:22 - 00:33] Speaker A: That's great to hear. It's important to keep up with the medication, though, so that you don't relapse. Are you doing anything else to support your mental health, like therapy or exercise?\n[00:33 - 00:38] Speaker B: Sorry to cut in, but speaking of relapse, what should I do if I ever forget to take a dose?\n[00:39 - 00:53] Speaker A: Yes, I am. I make sure to take it every day and I haven't missed a dose. If you do forget, it's important to take it as soon as you remember, unless it's almost time for your next dose. In that case, just skip the missed dose.\n[00:53 - 01:02] Speaker B: That's good. Let me know if you have any problems with the medication or if your symptoms start to come back. We can adjust the dosage or try something else if necessary.\n[01:02 - 01:05] Speaker A: I will. Thank you so much for your help.\n[01:05 - 01:06] Speaker B: You're welcome."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1020068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Holy shit, what happened here?\n[00:02 - 00:15] Speaker B: It looks like this person was stabbed multiple times. We're still trying to piece together what happened, but it's pretty clear that they didn't stand a chance of surviving such a brutal attack given the severity and number of wounds we've observed on the victim's body.\n[00:09 - 00:15] Speaker A: Wait, do we have any witnesses or surveillance footage that might help us figure out who did this?\n[00:15 - 00:29] Speaker B: We're checking the area for any cameras that might have caught something. Unfortunately, violent crimes like this are all too common these days. We'll do our best to catch the perpetrator and bring them to justice as quickly as possible, but it's going to take some time to gather all the evidence.\n[00:30 - 00:36] Speaker A: I really hope we can get some leads soon. It's just so horrifying to think that someone could do something like this.\n[00:37 - 00:44] Speaker B: I know it's hard to understand, but sometimes people do terrible things for no reason at all. We just have to hope that justice is served in the end."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--813478.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey there. Mind if I lay down next to you?\n[00:03 - 00:04] Speaker B: No, go ahead.\n[00:04 - 00:08] Speaker A: Thanks. I needed a break from the sun. It's so hot today.\n[00:09 - 00:19] Speaker B: Yeah, it is. I'm trying to get a tan, but I don't want to get too dehydrated, so I'm keeping a bottle of water close by and reapplying sunscreen every hour to avoid any skin damage.\n[00:19 - 00:27] Speaker A: Burnt? Yeah, that's definitely a possibility out here. So what brings you to the beach today? Just wanting to relax?\n[00:27 - 00:34] Speaker B: Yeah, pretty much. I just finished up my summer classes and needed some time to myself before starting my new job next week.\n[00:34 - 00:44] Speaker A: That sounds rough. Are you excited for it? Or worried about how you'll balance everything with your personal life and other commitments you might have during this transitional period?\n[00:37 - 00:44] Speaker B: Nervous? A little bit of both, honestly. But mostly excited. It should be a good experience. And the pay is great, so that's a plus.\n[00:44 - 00:48] Speaker A: Definitely. Well, I hope you enjoy the rest of your day here.\n[00:49 - 00:50] Speaker B: Thanks. You too."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--449689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I found this note in your desk. It says you're planning to leave the school. Is that true?\n[00:06 - 00:19] Speaker B: Yes, it is. I'm sorry I didn't tell you sooner, but I've been offered a position at another school and I'm going to start next month. It's a big change, but I'm excited about the new challenges and opportunities that this move will bring to both my career and personal life.\n[00:11 - 00:16] Speaker A: Wait, another school? Why are you leaving? Don't you like teaching here?\n[00:17 - 00:36] Speaker B: It's not that I don't like teaching here. It's just that this other opportunity is a better fit for me professionally. And personally, too - my partner is moving to the city where the other school is, so it makes sense for me to go there as  it will allow us to be together and build our lives in the same place while also giving me access to better resources for my research projects.\n[00:37 - 00:42] Speaker A: But what about us? I'm really going to miss you. You're my favorite teacher ever.\n[00:43 - 00:50] Speaker B: Thank you, Konstantinos. I'm going to miss you too. But I'm sure you'll do great without me. You're a very smart and capable young man.\n[00:50 - 00:54] Speaker A: I don't know. I'm not sure I can make it without you.\n[00:55 - 01:00] Speaker B: Of course you can. You'll be fine. And if you ever need any help, just remember that I'm only a phone call away."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--251891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, thanks for coming to work out with me today!\n[00:03 - 00:09] Speaker B: No problem! I'm always happy to help you stay motivated. You've been working hard lately and it's really paying off.\n[00:09 - 00:25] Speaker A: Yeah, I feel like I'm getting stronger every day. Lifting weights has been a great workout for me and I'm really starting to see some real improvements in my endurance as well as noticeable muscle definition and better overall stamina during my workouts.\n[00:17 - 00:23] Speaker B: Speaking of lifting weights, have you thought about increasing your weight targets soon? It might be a good way to challenge yourself even more.\n[00:24 - 00:36] Speaker A: Definitely, I'm planning to gradually increase the weights. But I was also going to mention that I'm really enjoying it because it's not just about the physical strength, it's also helping me mentally.\n[00:36 - 00:42] Speaker B: That's great to hear! It sounds like you're really dedicated to your fitness goals. What are your plans for the future?\n[00:43 - 01:01] Speaker A: Well, I want to keep getting stronger and see how far I can take my lifting career. I'm also thinking about competing in some competitions down the line. Who knows, maybe even going\n[01:03 - 01:10] Speaker B: Competitions? That sounds exciting! Have you started looking into specific ones, or are you still in the planning phase?\n[01:10 - 01:21] Speaker A: I'm still in the planning phase, but I've been researching a few local competitions to start with. Going pro is a long-term goal, but it's definitely on my mind."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1031152.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's wrong?\n[00:01 - 00:09] Speaker B: My mom died and I don't have anywhere to stay because our landlord sold the house and gave us only two weeks notice to move out. I feel so lost right now.\n[00:03 - 00:12] Speaker A: Oh my god, Katia, I'm so sorry. Do you have anyone else you can stay with, or do you need somewhere to go right now?\n[00:12 - 00:13] Speaker B: I don't have anywhere to go.\n[00:14 - 00:16] Speaker A: Come with me, I'll take care of you.\n[00:16 - 00:17] Speaker B: Thank you, Magdalena.\n[00:18 - 00:22] Speaker A: It's no problem, really. So, do you want to talk about what happened?\n[00:22 - 00:32] Speaker B: Yeah, I guess so. It's just been really hard since she  passed away unexpectedly in her sleep last week. The doctors said it was a sudden cardiac arrest. Everything feels so empty without her.\n[00:33 - 00:39] Speaker A: I know it's difficult, but maybe talking about her could help. What do you miss the most about her?\n[00:39 - 00:44] Speaker B: I miss her so much. I miss how she always knew what to say when I was feeling down.\n[00:44 - 00:52] Speaker A: I can imagine how tough it must be for you. Katia, if there's anything I can do to help ease your pain, please let me know."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--903574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: What are you talking about? I didn't do anything to you.\n[00:04 - 00:18] Speaker B: You know exactly what I'm talking about! You made that horrible joke about me in front of everyone and it was so humiliating! I can't believe you would do something like that to embarrass me like that, especially in front of our colleagues who now probably think less of me because of your insensitive remarks.\n[00:12 - 00:19] Speaker A: Look, I'm sorry if you were offended by the joke, but I didn't mean it in a bad way. I was just trying to be funny.\n[00:19 - 00:36] Speaker B: Well, it wasn't funny. It was hurtful and mean. And it's not like this is the first time you've done something like this to me. You always make fun of me and belittle me in front of other people and it's really  making me feel like you don't respect me as a person or value our friendship enough to consider my feelings before speaking.\n[00:37 - 00:45] Speaker A: I don't mean to hurt your feelings, Deborah. I'm just teasing you because I care about you and I want to make sure you don't take yourself too seriously.\n[00:45 - 00:51] Speaker B: Well, maybe I don't want to be teased all the time! Maybe I just want to be treated with respect and kindness!\n[00:51 - 00:57] Speaker A: Fine, Deborah. If that's what you want, then I'll stop teasing you. But can we still be friends?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--277322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey Tyree, how are you doing today?\n[00:02 - 00:05] Speaker B: Hey Beckam! I'm doing well, thanks for asking. How about you?\n[00:06 - 00:09] Speaker A: I'm doing alright. Just hanging out, doing some work.\n[00:10 - 00:11] Speaker B: What kind of work are you doing?\n[00:12 - 00:25] Speaker A: I'm a web developer, so I'm working on some code for a new project that has a tight deadline and requires me to implement several complex features including user authentication and database integration.\n[00:16 - 00:22] Speaker B: Oh, that reminds me—I'm actually looking to update my personal blog. Do you think you could help me with that?\n[00:22 - 00:32] Speaker A: Sure, I can definitely help you with your blog. I was just about to say the website I'm working on is for a client, but I'd be happy to take a look at your blog too.\n[00:32 - 00:35] Speaker B: That sounds really cool! I wish I could do something like that.\n[00:36 - 00:49] Speaker A: It's not too difficult to learn the basics. You just have to be patient and put in the time\n[00:50 - 00:54] Speaker B: But what if I get stuck? I feel like I'd need someone to guide me through it.\n[00:55 - 01:03] Speaker A: That's totally understandable. If you ever change your mind or want to give it a try, let me know and I can help you out step by step.\n[01:04 - 01:06] Speaker B: Thanks Beckam, that's really sweet of you!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--526216.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, Mom.\n[00:01 - 00:02] Speaker B: Hey, Moriah. What's up?\n[00:03 - 00:05] Speaker A: Not much. Just hanging out in my room.\n[00:06 - 00:08] Speaker B: That's good. I'm glad you're keeping busy.\n[00:09 - 00:18] Speaker A: Yeah, I'm just trying to stay out of everyone's way and focus on my own things because I've been feeling a bit overwhelmed with school and social stuff lately.\n[00:12 - 00:17] Speaker B: Trouble? Is everything okay? I mean, you know you can always talk to me if something's bothering you.\n[00:17 - 00:20] Speaker A: I'm just kind of going through some stuff right now.\n[00:20 - 00:33] Speaker B: Well, your father and I were just talking about how we need to have a serious talk with you about some things that have been going on around the house and how you've been feeling lately because we've noticed some changes in your behavior and we're genuinely concerned about your well-being.\n[00:33 - 00:37] Speaker A: Wait, is this about me staying out late last weekend?\n[00:37 - 00:44] Speaker B: Not just that, but it's part of it. We've also noticed you've been acting a bit differently lately, and we're just wondering if everything is okay with you.\n[00:45 - 00:49] Speaker A: I don't know, Mom. Like I said, I'm just dealing with some stuff.\n[00:49 - 00:54] Speaker B: Okay. Well, if you ever want to talk about anything, we're here for you. We love you, Moriah.\n[00:55 - 00:56] Speaker A: I love you too, Mom."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1794.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Ahaan. I'm glad we ran into each other.\n[00:03 - 00:05] Speaker B: Yeah, me too. What's up?\n[00:05 - 00:08] Speaker A: I've been thinking about my mom a lot lately.\n[00:08 - 00:09] Speaker B: Really? Why?\n[00:10 - 00:13] Speaker A: I don't know. I guess I just miss her and wish I saw her more often.\n[00:14 - 00:17] Speaker B: That makes sense. I feel the same way about my mom sometimes.\n[00:18 - 00:23] Speaker A: Yeah, it's just...I don't know, hard to put into words how much I miss her.\n[00:24 - 00:27] Speaker B: Do you think there's something specific that's triggered these feelings recently?\n[00:28 - 00:47] Speaker A: I hadn't thought about that. Maybe it's because I saw some old photos. Anyway, it's like you want to talk to her about things, but you're not sure if she'll understand or even be interested in what you have to say because sometimes parents have different perspectives that make communication challenging despite our best efforts.\n[00:39 - 00:44] Speaker B: Or even care, right? It's tough when you feel that way about someone so important in your life.\n[00:44 - 00:51] Speaker A: Exactly! That's exactly it! Thank you for understanding, Ahaan. It means a lot to me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--476626.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: Raeanna, I can't believe we're finally here! This day has been so long, but it's finally our last night of the conference, and I'm so excited to relax and enjoy the evening with you after all these intense days of networking and workshops.\n[00:06 - 00:12] Speaker B: I know! Before we get too into the night, did you remember to pack everything? I almost forgot my charger this morning.\n[00:12 - 00:23] Speaker A: Oh, good point! I double-checked my stuff, so I think I'm good. But yes, this conference has felt like forever. Still, it's been a good conference, haven't you thought?\n[00:23 - 00:30] Speaker B: Absolutely. I've loved getting to meet new people and learn new things. But I'm definitely ready to go home tomorrow. How about you?\n[00:30 - 00:40] Speaker A: Yeah, I'm ready to go home too. But first, let's enjoy our last night here! What do you want to do? Maybe we can check out that live music they mentioned earlier.\n[00:41 - 00:47] Speaker B: Actually, before we decide, do you think we should grab a quick bite first? I heard the food at the party might be just snacks.\n[00:48 - 00:55] Speaker A: That's a good idea! Let's grab something to eat first, then we can check out that party in the lobby. How does that sound?\n[00:55 - 00:56] Speaker B: Perfect! Let's go!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--140026.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, babe. I've been meaning to talk to you about something. It's about my debt.\n[00:05 - 00:07] Speaker B: What about it? Is everything okay?\n[00:07 - 00:25] Speaker A: Well, no, not really. I'm pretty far behind on my payments and I'm starting to feel really stressed out about it. I don't know how I'm going to catch up without making some major sacrifices like moving to a cheaper apartment or giving up my car which would make getting to work much more difficult.\n[00:16 - 00:22] Speaker B: How far behind are you? We need to understand the situation fully before we can come up with a solution.\n[00:22 - 00:27] Speaker A: I'm behind by a couple of months. I owe about $20,000 in total.\n[00:27 - 00:34] Speaker B: Okay, that's not too bad. We can definitely come up with a plan to pay that off. Do you have a payment plan set up already?\n[00:35 - 00:49] Speaker A: Yeah, I do. But the payments are really high and I don't know how I'm going to make them each\n[00:51 - 00:56] Speaker B: Wait, how high are the payments? Maybe we can renegotiate the terms or find a way to lower them.\n[00:57 - 01:06] Speaker A: The monthly payments are around $600. I was going to say I'm not sure where to cut back, but yeah, maybe renegotiating could be an option.\n[01:07 - 01:15] Speaker B: Let's start by reviewing your budget and seeing where we can make adjustments. If that doesn't work, we can explore other options like consolidation or refinancing.\n[01:15 - 01:22] Speaker A: That sounds like a good idea. I really appreciate your help with this. I've been feeling really overwhelmed by it all.\n[01:23 - 01:26] Speaker B: Of course, babe. I'm here for you. We'll get through this together."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--317784.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much. What's up with you?\n[00:04 - 00:22] Speaker A: I found this small, clear baggie of drugs in my room and I think it might be cocaine or meth. I'm scared and don't want to get in trouble, so I flushed the drugs down the toilet because I didn't know what else to do and I was worried about the legal consequences if someone found them in my possession.\n[00:15 - 00:22] Speaker B: Wait, you flushed it? Are you sure that was the best thing to do? What if it was something else entirely?\n[00:22 - 00:28] Speaker A: I know, I panicked. I'm not sure, but that's what it looked like from what I've seen on TV.\n[00:28 - 00:35] Speaker B: Well, either way, you did the right thing by getting rid of it. But now I'm curious—how do you think it got there in the first place?\n[00:36 - 00:41] Speaker A: That's the thing, I'm kind of worried that someone might have put them there to frame me or something.\n[00:42 - 00:46] Speaker B: Frame you? Why would someone want to do that? Do you think someone has a grudge against you?\n[00:46 - 00:49] Speaker A: I don't know. Maybe because I'm Hispanic?\n[00:49 - 01:00] Speaker B: That's a serious concern, but let's not jump to conclusions. Just be careful and be aware of your surroundings. If you see anything suspicious, let me know and we'll figure it out together, okay?\n[01:00 - 01:01] Speaker A: Okay, thanks."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--316554.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I don't know if I'm comfortable with this.\n[00:02 - 00:10] Speaker B: What? Why are you feeling uneasy about it? Is there something specific that's making you hesitant or is it just a general sense of discomfort?\n[00:03 - 00:08] Speaker A: Why not? I mean, I just feel like we're moving too fast.\n[00:08 - 00:18] Speaker B: We can go as slow as you want. I just thought you were ready to take the next step in our relationship, but I see now that we need to have a more in-depth conversation about boundaries and expectations first.\n[00:17 - 00:21] Speaker A: I get that, but it's just a lot to take in all at once.\n[00:21 - 00:29] Speaker B: Yeah, I understand. But like I said, we can go as slow as you want. We don't have to do anything you're not comfortable with.\n[00:29 - 00:31] Speaker A: Okay. Thank you for understanding."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--523646.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey Tony, I found out that I can become an angel.\n[00:03 - 00:04] Speaker B: Really? How?\n[00:05 - 00:20] Speaker A: Well, I was doing some research and I found out that if you pray to God and ask to be an angel, He will make it possible if it's within His will and you demonstrate true devotion through your actions and maintain pure intentions throughout your spiritual journey.\n[00:12 - 00:17] Speaker B: Wait, are you sure about this? I mean, has anyone actually succeeded in doing that before?\n[00:18 - 00:20] Speaker A: I don't know. But it's worth a try, right?\n[00:21 - 00:24] Speaker B: I guess so. When are you going to start praying and asking for this?\n[00:24 - 00:37] Speaker A: Actually, I was thinking tonight. Do you think I should do anything special to prepare like  creating a sacred space for prayer or perhaps fasting beforehand to show my complete dedication to this divine transformation?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1124666.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I'm sorry for what I did. I didn't mean to steal from you, I was just desperate.\n[00:06 - 00:17] Speaker B: Why were you desperate? What's going on in your life that made you think you had no other options but to resort to stealing when there are community resources and support systems available that could have helped you through this difficult time?\n[00:09 - 00:19] Speaker A: I just... it's been really hard. My family's going through some tough times, and I've been trying to help out as much as I can. But we're barely getting by as it is.\n[00:19 - 00:26] Speaker B: That's tough. I know how it feels to be struggling like that. But stealing is never the answer. It only makes things worse.\n[00:26 - 00:34] Speaker A: I know that now. And I'm sorry for what I did. It won't happen again, I promise I'll find another way to help my family.\n[00:34 - 00:41] Speaker B: I need to make sure you understand how serious this is. If it happens again, you'll be banned from the store permanently. Understand?\n[00:42 - 00:46] Speaker A: Yes, sir. Thank you for understanding and giving me another chance."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--315768.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Mom. I have some good news.\n[00:02 - 00:03] Speaker B: What is it, Ziya?\n[00:04 - 00:06] Speaker A: I passed my entrance exam!\n[00:06 - 00:14] Speaker B: Oh, that's fantastic news! I'm so proud of all the effort you've put in and how you managed to stay focused despite all the challenges you faced during your preparation.\n[00:09 - 00:13] Speaker A: Sorry to cut in, Mom, but I wanted to ask—have you told Dad yet?\n[00:14 - 00:18] Speaker B: No, I haven't told him yet. But I was just about to say how proud I am of you!\n[00:18 - 00:24] Speaker A: Thanks, Mom. I'm pretty happy about it too. It was a lot of work, but it paid off.\n[00:25 - 00:28] Speaker B: You've always been a hard worker, Ziya. I knew you would succeed if you kept at it.\n[00:29 - 00:33] Speaker A: I appreciate that, but I was wondering if we could celebrate this weekend?\n[00:34 - 00:36] Speaker B: Of course, we should definitely celebrate!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--41123.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm so glad you could come! I know how busy you are.\n[00:04 - 00:16] Speaker B: Yeah, I was just about to cancel, but I'm glad I didn't. This looks like it'll be really exciting, especially since I haven't been to a play in ages and I've heard such great things about this particular production from multiple friends.\n[00:09 - 00:16] Speaker A: Sorry to jump in, but I just remembered—did you have any trouble finding parking? I know it can be tricky around here.\n[00:17 - 00:20] Speaker B: Oh, no, I found a spot pretty easily. But what were you saying about the play?\n[00:21 - 00:25] Speaker A: Right! You're going to love the play. It's one of my favorites.\n[00:25 - 00:26] Speaker B: What's it about?\n[00:27 - 00:35] Speaker A: Two friends who have a falling out and then ultimately make up again. It's really beautifully written, and the character development is so well done.\n[00:36 - 00:40] Speaker B: Oh, that sounds like such a relatable story! I love plays that explore friendships.\n[00:41 - 00:44] Speaker A: It really is. It's heartwarming, and I think you'll enjoy it.\n[00:45 - 00:46] Speaker B: I can't wait to see it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--957212.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Jaire. I noticed you've been having some trouble with your fungus lately.\n[00:04 - 00:12] Speaker B: Yeah, it's been awful. I can't get rid of it no matter what I try. I've used almost every product available, but nothing seems to work.\n[00:12 - 00:24] Speaker A: Oh, I might be able to help with that. I'm pretty strong, so I can spray your fungus with fungicide without any problem and I'll make sure to cover all the affected areas thoroughly to prevent any recurrence.\n[00:19 - 00:22] Speaker B: Really? That would be amazing! Thank you so much, Levi.\n[00:23 - 00:28] Speaker A: No problem at all. Let me just get my stuff and we'll take care of it as soon as possible.\n[00:29 - 00:35] Speaker B: Wait, before you go, do you know if this fungicide is safe for pets? I have a cat that loves to roam around the garden.\n[00:35 - 00:41] Speaker A: Good point. I'll check the label to make sure it's pet-friendly. Once we confirm that, we'll get started.\n[00:42 - 00:46] Speaker B: Okay, great! Just point me in the right direction and I'll take care of the rest."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--465565.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Mom. Can I go to Tim's house today?\n[00:03 - 00:05] Speaker B: No, you can't go to Tim's house today.\n[00:06 - 00:14] Speaker A: Why can't I go? I finished all my chores and even helped with the dishes after dinner last night, so I really think I deserve this.\n[00:06 - 00:10] Speaker B: Because I said so. And before you ask again, you need to focus on your homework.\n[00:11 - 00:13] Speaker A: But I don't want to do my homework.\n[00:13 - 00:21] Speaker B: Well, you have to do it anyway. Now go and get started immediately because your teacher specifically mentioned you need to improve your math skills this semester.\n[00:23 - 00:29] Speaker A: Wait, can't I just finish it later? I promise I'll get it done before bed.\n[00:29 - 00:34] Speaker B: No, you need to do it now. Once it's done, then we can talk about other plans."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--771154.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I don't know why I did it. I just felt so angry and frustrated. I just wanted to hurt myself.\n[00:06 - 00:07] Speaker B: Why do you think you felt that way?\n[00:08 - 00:25] Speaker A: I don't know. Things have just been really tough lately. My job is stressful, my relationships are falling apart, and I just feel like I can't handle everything that's coming at me all at once without any support system or coping mechanisms to help me through these difficult times.\n[00:17 - 00:22] Speaker B: Have you considered speaking to a professional about these feelings? It sounds like you're going through a lot.\n[00:22 - 00:39] Speaker A: I have thought about it, but I feel like it might not help. No one really understands what I'm going through. My friends and family are all busy with their own lives, and I don't want to  burden them with my problems or seem weak when they're already dealing with so much in their own personal and professional lives.\n[00:40 - 00:48] Speaker B: I know it can be hard to reach out, but sometimes people are more willing to help than we think. Maybe we can help connect you with some resources in the community that can provide support.\n[00:49 - 00:54] Speaker A: That might be helpful. I guess I just need to take that first step and see what happens."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--760966.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I can't believe I forgot to schedule my interview. I'm so disappointed in myself.\n[00:05 - 00:09] Speaker B: It's not your fault, Brendin. Things happen. You can't beat yourself up over it.\n[00:10 - 00:23] Speaker A: But this was my dream job. I was so prepared and excited for it, having spent weeks researching the company and practicing my responses to potential interview questions to make the best possible impression.\n[00:13 - 00:20] Speaker B: Sorry to cut you off, but have you tried contacting them to explain the situation? Sometimes they might be understanding and give you another chance.\n[00:21 - 00:27] Speaker A: I haven't thought of that. But what if I don't get another chance? What if this is the only chance I had?\n[00:27 - 00:37] Speaker B: Brendin, stop panicking. You're going to make yourself sick if you keep this up. Just take a deep breath and relax. Everything will be okay. You might be surprised by their response.\n[00:37 - 00:43] Speaker A: I know you're trying to help, but it's hard to relax when it's something this important to me.\n[00:43 - 00:49] Speaker B: I understand, but you need to calm down. There's nothing you can do about it now. Just try to relax and let it go."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--391765.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: How did you find this dog? He's so cute!\n[00:03 - 00:14] Speaker B: I saw him on the side of the road. He looked hungry and alone, so I picked him up and brought him home where I gave him some food and water immediately. He seemed really scared, but he calmed down after a while when he realized he was safe with me.\n[00:07 - 00:15] Speaker A: Are you sure that's safe? I mean, he could have been lost or belonged to someone nearby. Did you check if he had any tags?\n[00:15 - 00:23] Speaker B: He didn't have any tags, and I looked around for a bit to see if anyone was searching for him, but no one was around. I'm going to keep him. He's a good dog.\n[00:24 - 00:27] Speaker A: You can't just keep him! We can't afford another pet.\n[00:27 - 00:40] Speaker B: I'll take care of him. I'll pay for his food and any vet bills that come up, including vaccinations and regular check-ups. I know it's a big responsibility, but I'm ready for it and have been saving up specifically for situations like this.\n[00:38 - 00:46] Speaker A: It's not just about the money, Walter. We already have two dogs, and it's a lot of work. Adding a third one might be too much for us to handle.\n[00:46 - 00:50] Speaker B: Please, Wilmer. Just let me keep him. I promise I'll take care of him.\n[00:50 - 00:55] Speaker A: Fine. But you're responsible for everything related to this dog, got it?\n[00:55 - 00:57] Speaker B: I got it. Thanks, Wilmer."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1132437.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Demetrious, can you please be quiet during the movie?\n[00:03 - 00:06] Speaker B: But I'm just trying to make sure you're following what's going on.\n[00:07 - 00:18] Speaker A: Well, I would appreciate it if you would let me watch in peace and enjoy the experience without interruptions, as I find it much more immersive when I can fully concentrate on the storyline and cinematography.\n[00:09 - 00:13] Speaker B: Sorry to interrupt, but if you miss a key part, won't you be confused later?\n[00:14 - 00:23] Speaker A: I understand, but I really want to focus on the movie. Fine, but I'm still going to talk afterwards about what happened and discuss any parts I didn't understand.\n[00:24 - 00:28] Speaker B: I just thought of something—what if we discuss it during the credits instead?\n[00:28 - 00:31] Speaker A: That's fine, but can we just enjoy the movie now?\n[00:31 - 00:32] Speaker B: Whatever."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--231222.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: I was just thinking about all the dead people I've seen in my life. It's so sad that they're gone and I'll never see them smile or hear their voices again, especially during those special moments we shared that made life so meaningful and full of joy.\n[00:06 - 00:16] Speaker B: I know, it's incredibly tough. But you know, we have to remember that they're in a better place now. They're not suffering anymore and they're at peace. That's really what we should try to focus on.\n[00:16 - 00:27] Speaker A: I know you're right, but it's still hard to accept that they're gone forever. I wish I could see them one last time. Just to say goodbye properly and tell them how much they meant to me.\n[00:28 - 00:34] Speaker B: Maybe one day you will. Who knows what the future holds? For now, let's be thankful for the time we had with them and cherish our memories.\n[00:35 - 00:36] Speaker A: You're right. Thanks, Dad.\n[00:37 - 00:38] Speaker B: Anytime, sweetie."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--164800.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Triton, I had no idea. I'm so sorry that happened to you.\n[00:04 - 00:12] Speaker B: It's not your fault. There's nothing you could have done to change what happened, especially considering how sudden and unexpected the whole situation was at the time.\n[00:07 - 00:10] Speaker A: I know, but I wish I could have been there for you.\n[00:10 - 00:12] Speaker B: It's in the past now. I've moved on.\n[00:13 - 00:21] Speaker A: But Triton, it must have been so hard for you to keep it all inside. Why didn't you tell me sooner? I could have helped you through it.\n[00:21 - 00:31] Speaker B: I just didn't want to relive it, you know? Talking about it only makes me remember how helpless I felt back then. I was a child, and there was nothing I could do to stop it from happening.\n[00:31 - 00:39] Speaker A: You're not helpless now, Triton. You're strong, and you can talk to me about anything. I'm here for you, no matter what."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1169363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, I wanted to talk to you about something.\n[00:03 - 00:03] Speaker B: What's up?\n[00:04 - 00:07] Speaker A: Well, you know how I borrowed that money from you a while ago?\n[00:07 - 00:08] Speaker B: Yeah, what about it?\n[00:09 - 00:25] Speaker A: I've been feeling really guilty about it and I just wanted to make sure that you're not mad at me. I'll pay you back as soon as I can, I really appreciate your patience, and I don't want this to affect our friendship because you've always been so supportive and understanding through all my tough situations.\n[00:17 - 00:24] Speaker B: Hey, don't stress about it. I wasn't even thinking about it, seriously. Are you okay? It sounds like this has been bothering you.\n[00:24 - 00:29] Speaker A: I just didn't want to cause any tension between us. Are you sure we're good?\n[00:30 - 00:33] Speaker B: Seriously, don't worry about it. Let's just forget about it, okay?\n[00:33 - 00:37] Speaker A: Alright, if you're sure. Thanks for understanding.\n[00:37 - 00:39] Speaker B: No problem, that's what friends are for."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--538365.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Hey, I'm sorry about what happened earlier. I didn't mean to upset you, and I really value our friendship because you've always been there for me during tough times and I don't want to lose that connection over a simple misunderstanding.\n[00:04 - 00:10] Speaker B: No, I get it. But I have to ask, do you think we should maybe talk through what happened a bit more before we just move on?\n[00:10 - 00:18] Speaker A: It's okay, I overreacted. I'm sorry too. And you're right, maybe we should clear the air a bit more.\n[00:18 - 00:23] Speaker B: Yeah, I guess we both did. But it's important that we're on good terms with each other, right?\n[00:23 - 00:26] Speaker A: Absolutely. We're a team, after all.\n[00:27 - 00:30] Speaker B: Exactly. So let's just forget about what happened and move on, okay?\n[00:30 - 00:31] Speaker A: Sounds good to me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--926731.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm so sorry, officer. I didn't mean to break the law.\n[00:03 - 00:24] Speaker B: Francis, you've been breaking the law for years now. You've been arrested for trespassing, vandalism, and public intoxication. This is the third time you've been caught drinking in public this year. You're lucky I'm not hauling you in for disorderly conduct right now, but you need to understand that this is your last warning and that next time there won't be any leniency regardless of the circumstances.\n[00:17 - 00:31] Speaker A: Officer, I understand, and I really appreciate you not taking me in this time. I just want to say that I'm trying to change, it's just that sometimes it feels like no matter what I do, I can't escape my past mistakes.\n[00:31 - 00:36] Speaker B: That's not good enough, Francis. You need to start following the rules if you don't want to end up in jail.\n[00:36 - 00:56] Speaker A: I know, officer. But it's hard when all my friends are doing things that are against the law too. They peer pressure me into doing things that I don't want to do, but I know that's not an excuse, and I need to take responsibility for my own actions and make better choices moving forward regardless of what others around me are doing.\n[00:53 - 01:08] Speaker B: But Francis, you're an adult now. You can't keep blaming your friends for your actions. You need to start making your own decisions about what's right and wrong instead of following their lead all the time. If you keep breaking the law, you're going to end up in jail where you'll have a lot more time to think about your choices."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--571155.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: I'm not buying this brand. The quality is not as good as it used to be and I don't want to support a company that is not making a good product.\n[00:09 - 00:11] Speaker B: What do you mean the quality is not as good?\n[00:12 - 00:25] Speaker A: The materials are lower quality, the construction is shoddy, and it just falls apart after a few uses. I'm not spending my money on something like this again, especially after being disappointed multiple times.\n[00:26 - 00:34] Speaker B: Sorry to cut in, but have you considered that maybe you got a defective piece? Sometimes one bad experience can cloud our judgment about the entire brand.\n[00:34 - 00:50] Speaker A: That's possible, but I've had multiple bad experiences. Still, I haven't mentioned that I haven't tried the new line of products yet because I am skeptical about any real improvements and don't want to waste my time or money on something that might just disappoint me again.\n[00:42 - 00:48] Speaker B: Actually, I was going to ask about that. The new line might be worth a look. They could have made significant improvements.\n[00:49 - 00:55] Speaker A: No, and I'm not going to. I don't want to support a company that makes inferior products.\n[00:55 - 01:00] Speaker B: Maybe you should give them another chance. They might have improved since you last tried their products.\n[01:00 - 01:02] Speaker A: No, I'm done with this brand."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--368483.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, I'd like to deposit this check please.\n[00:03 - 00:19] Speaker B: Sure, let me just take a look at it real quick. (The teller looks at the check and sees that it's for $100.) Looks like everything is in order here. How would you like to deposit this? We can process it into your checking or savings account, or if you'd prefer, we can give you cash for part or all of the amount.\n[00:12 - 00:21] Speaker A: Sorry, before we proceed, I just realized—can you confirm if this deposit will be available immediately or if there's a hold on it?\n[00:21 - 00:31] Speaker B: Oh, good question. Typically, deposits like this will be available within one business day, but it can vary depending on your bank's policies. Now, how would you like to deposit this?\n[00:31 - 00:33] Speaker A: Into my checking account please.\n[00:34 - 00:47] Speaker B: Great, I can do that for you. Just give me a minute to process this. (The teller processes the deposit and hands Leandre a receipt.) There you go, sir. Your check has been deposited into your account. Is there anything else I can help you with today?\n[00:47 - 00:50] Speaker A: No, that's all for now. Thanks for your help!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--994948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, mom.\n[00:01 - 00:03] Speaker B: Hey, sweetie. What's up?\n[00:03 - 00:05] Speaker A: Just feeling a little down today.\n[00:06 - 00:07] Speaker B: Aww, what's wrong?\n[00:07 - 00:19] Speaker A: I don't know. Everything just seems kind of point[interrupt]less lately, like I'm not making any progress in anything I do and it's really starting to affect my motivation and overall outlook on life.\n[00:10 - 00:19] Speaker B: Pointless? Darvin, I've been there before, and I want to remind you that these feelings are temporary. Have you been able to talk to anyone else about how you're feeling?\n[00:19 - 00:22] Speaker A: Not really. I just feel like no one would understand.\n[00:23 - 00:28] Speaker B: I understand, sweetie. But I promise you, life is always worth living. You just have to find your purpose in it.\n[00:29 - 00:32] Speaker A: Yeah, I guess you're right. Thanks, mom. Love you.\n[00:33 - 00:34] Speaker B: Love you too, baby."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--118976.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm sorry, Mama. I didn't mean to disappoint you.\n[00:04 - 00:18] Speaker B: It's not that you disappointed me, Casie. It's that I'm worried about the choices you're making and how they might affect your future, especially considering how hard we've worked to build a good reputation in this community and provide you with opportunities I never had growing up.\n[00:07 - 00:12] Speaker A: I understand, but I just want you to know that I'll try to do better next time.\n[00:12 - 00:19] Speaker B: Next time? There shouldn't be a next time. This is not who we are, Casie. We are not people who lose control like that.\n[00:19 - 00:32] Speaker A: But everyone makes mistakes, right? Isn't that what you've always  said about learning from our experiences and becoming better people through reflection and taking responsibility for our actions, even when it's difficult?\n[00:33 - 00:45] Speaker B: Yes, but this was more than just a mistake. This was dangerous and could have had serious consequences for you and for our family if anyone had found out about it. You're lucky that no one did or we would have been in a lot of trouble."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--985415.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Cristine's wife is beautiful.\n[00:02 - 00:04] Speaker B: Yeah, she is. I'm so lucky to have her.\n[00:05 - 00:17] Speaker A: I feel guilty because I know that Cristine's wife is actually in a coma and she is not able to hear all the wonderful things people say about her or feel the love that surrounds her during this difficult time.\n[00:10 - 00:12] Speaker B: What? Why would you say that?\n[00:13 - 00:19] Speaker A: I don't know. It just feels wrong to me, seeing you so happy when she's stuck in a hospital bed.\n[00:19 - 00:30] Speaker B: Emmah, she's going to be okay. The doctors are confident she'll wake up soon and be back to her\n[00:32 - 00:36] Speaker A: But what if she doesn't? Have you thought about what happens if she doesn't wake up?\n[00:37 - 00:45] Speaker B: I try not to think that way. The doctors believe in her recovery, and that's what I'm holding on to. So please don't say things like that, it doesn't help.\n[00:45 - 00:48] Speaker A: I'm sorry, Cristine. I didn't mean to upset you.\n[00:49 - 00:54] Speaker B: It's okay. I know you didn't mean it. Just try to be positive for me, okay?\n[00:54 - 00:56] Speaker A: Sure, anything for you, Cristine."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--414445.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: This pizza was really good! I'm so glad we decided to get it.\n[00:05 - 00:13] Speaker B: Yeah, it was great! I'm glad we could enjoy it together on this lovely evening while catching up on all the latest news and sharing our thoughts about life in general.\n[00:07 - 00:12] Speaker A: Sorry to interrupt, I just remembered, do you have any favorite pizza toppings?\n[00:12 - 00:16] Speaker B: Oh, I love pepperoni and mushrooms. So, what do you like to do for fun?\n[00:17 - 00:21] Speaker A: I like to read, listen to music, and go on walks. What about you?\n[00:22 - 00:31] Speaker B: I like to read and listen to music too! I also like to  try new recipes and experiment in the kitchen whenever I get the chance to explore different cuisines from around the world.\n[00:31 - 00:36] Speaker A: Oh, that's awesome! Do you have any favorite books or genres you particularly enjoy?\n[00:37 - 00:41] Speaker B: I enjoy mystery novels the most. I was saying I also like to bake and cook.\n[00:42 - 00:46] Speaker A: That sounds great! We should definitely hang out more often."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1079940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: Hey Brittnay! Thanks for playing Roblox with me. I love this game because it's so creative and there's so much to explore, from different game modes to building your own adventures, and the community is always coming up with innovative ideas that push the boundaries of what's possible in the game.\n[00:07 - 00:14] Speaker B: I know, right? It's really cool how you can create your own worlds and characters. I've been playing for a while now and I still find new things to do.\n[00:15 - 00:23] Speaker A: Yeah, that's one of the things I like most about it. There's always something new to discover. Have you ever made your own world?\n[00:23 - 00:35] Speaker B: Yeah, I have a few worlds that I've created. It's really fun to design everything and then see other people play in it. It's like watching your own little movie come to life, with players interacting in ways you didn't even anticipate.\n[00:36 - 00:41] Speaker A: Oh, that sounds so cool! So, do you have any tips on how to get started with creating a world?\n[00:42 - 00:52] Speaker B: Yeah, definitely. There are a few tutorials on the Roblox website that can help you get started. And once you start creating, don't be afraid to experiment and try new things. That's part of the fun!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1051467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I can't believe you would do this to me!\n[00:02 - 00:03] Speaker B: What did I do?\n[00:04 - 00:16] Speaker A: You know what you did! You went behind my back and talked to my ex-boyfriend without even considering how that would make me feel or the boundaries we had clearly established about this exact situation.\n[00:09 - 00:16] Speaker B: Alexzandra, I'm sorry. I just thought maybe you could work things out with him. He's been calling and texting you a lot lately.\n[00:16 - 00:21] Speaker A: Help? How is talking to my ex-boyfriend behind my back supposed to help me?\n[00:21 - 00:27] Speaker B: I thought maybe if you two talked, it would give you some closure or at least clear the air. But I can see I was wrong.\n[00:27 - 00:34] Speaker A: That's because he wants to get back together with me! And now, thanks to you, he knows that I'm still interested in him!\n[00:35 - 00:39] Speaker B: I really didn't mean to hurt you, Alexzandra, but I was just trying to help.\n[00:39 - 00:43] Speaker A: Well, you did. And now I don't ever want to talk to you again!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--185821.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Kayana. Sorry, I didn't mean to step on your foot.\n[00:05 - 00:07] Speaker B: It's okay, I know you did it on purpose.\n[00:07 - 00:18] Speaker A: What? No, I didn't! I would never intentionally hurt you or make you feel bad because you're one of my closest friends and I value our relationship too much to do something like that.\n[00:11 - 00:15] Speaker B: Come on, Kilian. I know you're mad at me and you wanted to hurt me. Just admit it already.\n[00:16 - 00:20] Speaker A: Fine, yes! I'm mad at you and I wanted to hurt you! Are you happy now?\n[00:21 - 00:26] Speaker B: Not really, no. But at least you're being honest with me now. What did I do that made you so mad?\n[00:26 - 00:42] Speaker A: You talked to Jenna about our fight and then she told everyone in our group chat about it! It was so embarrassing, Kayana. And then when I tried to talk to you about it, you just brushed me off like it wasn't a big deal! So yeah, I'm pretty mad at you right now.\n[00:42 - 00:50] Speaker B: I'm sorry, Kilian. I didn't mean to hurt you or embarrass you. I was just trying to talk to Jenna about what happened because I was really upset and I needed a friend.\n[00:51 - 01:08] Speaker A: And you couldn't have talked to me? We're supposed to be friends, Kayana. But it seems like lately all you care about is Jenna and your other friends. You don't even  seem to notice when I'm going through something or need to talk, which makes me feel like our friendship doesn't matter to you as much as it used to.\n[01:09 - 01:19] Speaker B: I know it feels that way, but it's not true, Kilian! I do care about you! I'm just really busy right now with school and work and everything else. But I promise that I'll make more time for you, okay?\n[01:20 - 01:27] Speaker A: Okay, Kayana. I hope you mean that. Because I really miss hanging out with you and being close like we used to be."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--174163.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, have you been reading anything good lately?\n[00:03 - 00:20] Speaker B: Yeah, I just finished a really great book on the history of the world. It was really interesting to learn about all the different cultures and how they've interacted with each other over centuries, especially through trade and migration, which has shaped the modern geopolitical landscape in ways we're still discovering today.\n[00:12 - 00:19] Speaker A: Sorry to jump in, but when you say \"interacted,\" do you mean in terms of trade, conflict, or something else?\n[00:19 - 00:34] Speaker B: A bit of everything, actually. For instance, the book went into a lot of detail about the Silk Road and how it was used as a trade route between Asia and Europe. It was really interesting to learn about all the different countries that were involved in it and how it affected their cultures.\n[00:34 - 00:47] Speaker A: Yeah, I've always been interested in the Silk Road myself. I'm glad you mentioned that, because I was just reading a book about it last week. Did you know that there are actually two different routes that make up the Silk Road?\n[00:47 - 00:50] Speaker B: No, I didn't know that. What's the difference between them?\n[00:51 - 01:08] Speaker A: Well, the northern route is more direct and goes through some of the most populated areas of China. The southern route is longer and goes through more remote areas. It's also considered to be more dangerous because of bandits and desert conditions, which made it a risky choice for traders.\n[01:08 - 01:16] Speaker B: Wow, that sounds intense. I wonder how traders decided which route to take—was it based on the goods they were carrying or just personal preference?\n[01:17 - 01:26] Speaker A: Probably a mix of both. But yeah, it's fascinating how much strategy went into those decisions. You should definitely check out that book I mentioned."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--268426.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: I don't know what to do, Sarah. I really like this guy, but he's in a relationship and I don't want to cause any drama or hurt anyone in the process, especially since I know how painful it can be to be on the receiving end of that kind of situation.\n[00:06 - 00:13] Speaker B: Wait, before you go on, have you considered if he might just see you as a friend? It could change how you approach this situation.\n[00:13 - 00:21] Speaker A: That's a good point. I guess I would like to pursue something, but at the same time, I don't want to hurt his current girlfriend's feelings.\n[00:21 - 00:34] Speaker B: Well then, you need to talk to him about it and see how he feels too. You both need to be on the same page before\n[00:36 - 00:40] Speaker A: But what if he says he likes me back? Wouldn't that make things even more complicated?\n[00:41 - 00:47] Speaker B: It could, but it's better to know where you both stand than to keep guessing. Talking it out is the only way to figure out the next steps.\n[00:48 - 00:54] Speaker A: Yeah, I guess you're right. I'll talk to him and see what he thinks. Thanks for the advice, Sarah.\n[00:55 - 00:55] Speaker B: Anytime!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--840566.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Wow, this is an amazing city! I can't believe I'm finally here!\n[00:05 - 00:16] Speaker B: Yeah, it's pretty great. There's so much to see and do, from historical sites to modern attractions that showcase the city's rich cultural heritage and vibrant contemporary art scene.\n[00:09 - 00:14] Speaker A: I know! I've only been here for a day and I already feel like I've seen so much.\n[00:14 - 00:21] Speaker B: Well, you're on the right tour. We'll show you all the best that this city has to offer, including some iconic landmarks you won't want to miss.\n[00:22 - 00:29] Speaker A: Actually, I was wondering if we could start with some of the less touristy spots? I really want to experience the local culture.\n[00:30 - 00:43] Speaker B: Absolutely! We can definitely include some hidden gems in the tour that will give you an authentic taste of daily life here"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--905725.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey there! You seem to be enjoying that book.\n[00:03 - 00:05] Speaker B: Yeah, I am. It's really good.\n[00:05 - 00:06] Speaker A: What's it about?\n[00:07 - 00:18] Speaker B: It's about a girl who goes on an adventure to find her missing family, but she discovers a lot more about herself along the way and uncovers secrets about her ancestors that change her perspective on life completely.\n[00:10 - 00:16] Speaker A: Oh, that reminds me—do you think the story has any parallels with your own life or experiences?\n[00:16 - 00:23] Speaker B: Not really, but it's definitely engaging. I was going to say her missing father. The author does a great job of keeping the suspense.\n[00:24 - 00:29] Speaker A: That sounds like an interesting story. I bet you're excited to see what happens next.\n[00:29 - 00:32] Speaker B: Yeah, I can't wait to see how it ends.\n[00:32 - 00:34] Speaker A: Do you like reading books?\n[00:34 - 00:40] Speaker B: Yeah, I love reading. It's one of my favorite things to do when I want to unwind after a long day.\n[00:40 - 00:44] Speaker A: That's awesome! Do you have a favorite genre or author?\n[00:44 - 00:53] Speaker B: I enjoy a lot of different genres, but I was going to say reading is something I do to relax. I also like to go on walks, listen to music, and spend time with my family and friends."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1031234.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:18] Speaker A: Well, I have to say that I really enjoyed your book. It was very well-written and interesting. I loved the way you developed the characters and the plot. It was a real page-turner, honestly, with its perfect pacing and unexpected twists that kept me guessing until the very last chapter. I couldn't put it down.\n[00:10 - 00:14] Speaker B: Sorry to jump in, but I'm curious—did any particular character stand out to you?\n[00:15 - 00:23] Speaker A: Oh, definitely. I think the protagonist really resonated with me. The way you portrayed their internal struggles was so relatable.\n[00:24 - 00:28] Speaker B: I'm really glad to hear that! I worked hard on making it as enjoyable as possible.\n[00:28 - 00:38] Speaker A: Yeah, it definitely showed. I'm usually not a huge fan of fiction, but this book really drew me in from the very first chapter. I was hooked.\n[00:39 - 00:43] Speaker B: That's interesting! So, what was it about this book that hooked you despite your usual preferences?\n[00:44 - 00:50] Speaker A: I think it was the suspense and the depth of the characters. It kept me on the edge of my seat the whole time.\n[00:51 - 00:54] Speaker B: I'm glad to hear that! What did you think of the ending?\n[00:54 - 01:03] Speaker A: Hmm. Well, I have to say that I didn't see it coming. But it was a good twist. It left me wanting more, which I guess is the point of a series.\n[01:04 - 01:06] Speaker B: Exactly! I'm glad you enjoyed it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--285043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Wow, that's a really long sentence.\n[00:03 - 00:05] Speaker B: I know. It's hard to keep up with you sometimes.\n[00:06 - 00:10] Speaker A: You're doing great. I'm just happy to be able to talk with you.\n[00:10 - 00:14] Speaker B: I'm happy to talk with you too. You always make me feel so comfortable.\n[00:14 - 00:28] Speaker A: That's good to hear. I want you to feel comfortable around me. So, what's been going on in your life lately? I've been curious to hear about any new hobbies you might have picked up or interesting experiences you've had since we last caught up properly.\n[00:21 - 00:28] Speaker B: Sorry to interrupt, but I just remembered I wanted to ask if you had any tips for managing a heavy workload? I'm really struggling with my classes.\n[00:28 - 00:53] Speaker A: Well, school has been keeping me pretty busy. I'm taking a lot of classes this semester and it's been a lot of work. One tip I have is to prioritize your tasks and break them into smaller, more manageable pieces. But I haven't yet asked you about your own methods  for handling your workload, especially when dealing with multiple deadlines and challenging assignments that require different approaches to studying and preparation.\n[00:53 - 01:00] Speaker B: Oh, prioritizing sounds like a good idea! I also try to set specific goals for each study session. What do you think about that approach?\n[01:01 - 01:09] Speaker A: I think setting specific goals is an excellent strategy. It helps keep you focused. By the way, I admire how driven you are."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--686928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, thanks so much for agreeing to this. I know it wasn't easy, but I'm really happy that we could come to an agreement.\n[00:07 - 00:10] Speaker B: Yeah, no problem. I'm just glad that we could work something out.\n[00:11 - 00:25] Speaker A: So, what do you think about the terms of the agreement? Are you happy with the conditions we discussed, especially the ones regarding the deliverables and milestones, as well as the payment structure and quality assurance protocols we put in place?\n[00:15 - 00:21] Speaker B: Sorry to interrupt, but I just realized we haven't discussed the timeline for implementation. Do you have any thoughts on that?\n[00:22 - 00:31] Speaker A: That's a good point. We should definitely iron out the timeline. But before I get to that, I wanted to know if you're happy with the terms of the agreement overall.\n[00:31 - 00:39] Speaker B: I'm actually really happy with them! I think they're fair and I'm glad that we were able to come to an agreement on them. Thanks for being flexible and working with me on this.\n[00:40 - 00:48] Speaker A: Of course, no problem. I'm just glad that we could come to an agreement that works for both of us. Thanks for being reasonable and open to negotiation.\n[00:49 - 00:55] Speaker B: Yeah, no problem. I think this is going to be a great arrangement for both of us. Thanks for your help in making it happen.\n[00:56 - 01:02] Speaker A: Absolutely. Now, about that timeline—do you have any preferences or constraints we should be aware of?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--187120.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, thanks for having me over today.\n[00:02 - 00:12] Speaker B: No problem, I always enjoy your company. Did you find everything you were looking for in the store earlier? I know you were searching for something specific and I was curious if they had it in stock.\n[00:06 - 00:10] Speaker A: Oh, I did, thanks! I'm sorry if I was a little messy.\n[00:10 - 00:15] Speaker B: It's no big deal, don't worry about it. So what did you think of the gift I got you?\n[00:15 - 00:18] Speaker A: It's really nice, thank you. I love it.\n[00:18 - 00:27] Speaker B: I'm glad you like it. I saw it and thought  it would be perfect for you, especially since you mentioned needing something like it last week when we were discussing your upcoming project.\n[00:27 - 00:30] Speaker A: You know, that really means a lot to me. Thank you.\n[00:30 - 00:34] Speaker B: Of course. So what did you do today after you left my place?\n[00:34 - 00:38] Speaker A: Not much, just hung out with some friends and went to the park.\n[00:38 - 00:40] Speaker B: Sounds like fun. Did you have a good time?\n[00:41 - 00:46] Speaker A: Yeah, it was great. Thanks for having me over today, I had a blast.\n[00:46 - 00:49] Speaker B: I'm glad you did. We should do it again soon."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--541347.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, grandma. Do you need help with your groceries?\n[00:03 - 00:13] Speaker B: Oh, thank you, Ceanna. That would be wonderful. Let me just get my purse and we can head to the store together after making sure we have all the shopping bags and reusable containers we might need for our purchases.\n[00:08 - 00:15] Speaker A: Actually, grandma, I was thinking, maybe I could help you make a grocery list before we go? That way, we won't forget anything.\n[00:15 - 00:18] Speaker B: That's a good idea, Ceanna. So, what do you need today?\n[00:19 - 00:24] Speaker A: Well, let's see. I need some apples, bananas, and maybe some grapes if they're available.\n[00:25 - 00:28] Speaker B: Do you think we should get some oranges too? They are in season right now.\n[00:29 - 00:37] Speaker A: Oranges sound great! And I think that's it for now. Thank you so much for helping me out, Ceanna. You're such a sweet boy.\n[00:37 - 00:41] Speaker B: It's no problem at all, grandma. I'm happy to help out however I can."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--65367.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: I just don't understand why I didn't make the team. I worked so hard and I really wanted to prove myself this season, especially after all the extra training I did during summer break and those early morning conditioning sessions before school.\n[00:05 - 00:14] Speaker B: I know it's tough, but sometimes it's not just about how hard you work. Did you get any feedback from the coach? Maybe there's something specific you can work on for next time.\n[00:15 - 00:29] Speaker A: I didn't really get any feedback, but it just feels like everyone else on the team is so much better than\n[00:30 - 00:39] Speaker B: Better? Brock, you're one of the best soccer players I know. It's not about being better or worse; it's about fitting into the team strategy. Your talent is not the issue here.\n[00:39 - 00:46] Speaker A: Yeah, I guess you're right. Thanks for talking to me, I feel better now.\n[00:46 - 00:48] Speaker B: Of course, anytime."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--208819.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: Hi, Jamonte. I saw that you were admiring my pony the other day, so I thought I would give her to you as a gift because I know you'll take great care of her and give her all the love and attention she deserves.\n[00:06 - 00:10] Speaker B: Oh, Ahron, thank you so much! She's beautiful. I've always wanted a pony.\n[00:10 - 00:21] Speaker A: You're welcome. I'm glad you like her. Can I ride  her with you sometime? It would be fun to go for a ride together through the fields and maybe even have a picnic by the old oak tree.\n[00:22 - 00:23] Speaker B: Can I ride her now?\n[00:23 - 00:29] Speaker A: Of course. Just be careful not to go too fast at first. The saddle is a little slippery.\n[00:29 - 00:32] Speaker B: OK, I will be careful. Thanks again, Ahron!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1017701.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm sorry I didn't finish my math homework.\n[00:03 - 00:04] Speaker B: Why didn't you finish it?\n[00:05 - 00:14] Speaker A: I don't know, I just got distracted by my phone notifications and video games, which made me lose track of time completely despite knowing the assignment was due today.\n[00:07 - 00:12] Speaker B: Wayde, you're a smart kid, and I know you can do this. So why didn't you finish your homework?\n[00:12 - 00:17] Speaker A: Uh, I don't know. I was just playing around and then I forgot about it.\n[00:17 - 00:29] Speaker B: Wayde, this is important. Your grades are slipping and if you don't turn things around, you're going to end up  in a situation where you'll have to take summer classes or even repeat the grade, which would be much harder than just doing your homework now.\n[00:30 - 00:34] Speaker A: I understand, sir. I'm really sorry. I know I need to do better.\n[00:35 - 00:39] Speaker B: Good. Now, let's try this again. Why didn't you finish your math homework?\n[00:40 - 00:47] Speaker A: Like I said before, I was just playing around and then I forgot about it. But I'm sorry, and I'll try to do better next time."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--16779.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey Jake, I'm moving to the city.\n[00:03 - 00:11] Speaker B: What? Why would you want to leave this place? It's your home, where you've built so many memories and established deep connections with everyone in this community over the years.\n[00:06 - 00:12] Speaker A: I'm just sick of it here. I need a change. There's nothing for me here anymore.\n[00:12 - 00:23] Speaker B: I don't understand. We've been best friends since we were kids. What about all the good times we've had? Aren't you going to  think about all the people who care about you here and how much they'll miss seeing you around every day?\n[00:23 - 00:28] Speaker A: Of course I'm going to miss you. But this is my decision and I need to do what's best for me.\n[00:29 - 00:30] Speaker B: I don't want you to go.\n[00:31 - 00:32] Speaker A: I have to. Goodbye, Jake."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--608672.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I really think it would be best if you resigned.\n[00:03 - 00:13] Speaker B: I don't know, I'm not sure that's what I want to give up on so quickly. I've worked hard to get here and built meaningful relationships with my colleagues that I'm not ready to walk away from just yet.\n[00:06 - 00:16] Speaker A: Listen, Kiya, I think this is the best thing for you. You're obviously not happy here, and it's just going to get more difficult to find satisfaction if you stay in this environment.\n[00:16 - 00:20] Speaker B: But what about my career? This is all I've ever wanted to do.\n[00:20 - 00:26] Speaker A: We can find you something else. Something that will make you happier. You don't have to stay here and suffer.\n[00:27 - 00:27] Speaker B: I don't know...\n[00:28 - 00:32] Speaker A: Just trust me on this, okay? It's for the best."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--369090.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So what do we have here?\n[00:02 - 00:04] Speaker B: We have a dead body. It looks like he was stabbed.\n[00:05 - 00:16] Speaker A: Do we know who the victim is yet? We're waiting for the ID confirmation from the coroner's office and forensic team who are currently processing the fingerprints and dental records.\n[00:06 - 00:11] Speaker B: Sorry to interrupt, but I need to clarify, was there any sign of a struggle at the scene?\n[00:11 - 00:16] Speaker A: Yes, there were signs of a struggle. We're not sure yet. We're still investigating.\n[00:16 - 00:17] Speaker B: Do you have any leads?\n[00:18 - 00:25] Speaker A: We're following a few leads, but we're not ready to release any detailed information until we have more concrete evidence.\n[00:25 - 00:32] Speaker B: I understand the need for confidentiality, but can you at least confirm if the leads are based on witness statements or forensic evidence?\n[00:33 - 00:40] Speaker A: Mostly forensic evidence. I see. Well, let me know if you need any help with the investigation. I'm good at solving crimes.\n[00:41 - 00:42] Speaker B: Thanks, we'll keep that in mind."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--824468.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, owner! What's up?\n[00:02 - 00:04] Speaker B: Not much, Mandy. Just relaxing.\n[00:04 - 00:08] Speaker A: Yeah, I could use some relaxation too. It's been a long day.\n[00:09 - 00:11] Speaker B: Tell me about it. What did you do today?\n[00:11 - 00:40] Speaker A: Well, I started off by waking up bright and early as usual. Then I went for a run with my buddy Barkley. After that, I came home and had breakfast. Then I went out to the backyard and played fetch with you for a while. After that, I took a nap in the sun. Then I woke up and came inside to get a drink of water. And now I was thinking about taking another nap, but then I decided to hang out with you instead because you always know how to cheer me up when I'm feeling tired.\n[00:31 - 00:36] Speaker B: Wait, did you just say you went for a run with Barkley? How was that? Did you two have a good time?\n[00:36 - 00:56] Speaker A: Oh yes, we had a blast! Barkley always tries to race me, and I think he's getting faster. But as I was saying, after that, I took a nap in the sun, which was really nice and I was almost tempted to stay out there all day because the warmth felt so comforting on my fur and the gentle breeze was just perfect for relaxing.\n[00:58 - 01:03] Speaker B: You know, I was just thinking, maybe we should take Barkley with us the next time we go for a hike. What do you think?\n[01:04 - 01:11] Speaker A: That sounds like a great idea! He would love that. And I think it would be a fun way for all of us to spend some time together."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--31287.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I found a quarter on the ground and used it to pay the extra fee.\n[00:04 - 00:13] Speaker B: Interesting. Do you always pick up money you find on the street or in public places, especially when it's in good condition and doesn't seem to belong to anyone in particular nearby?\n[00:07 - 00:10] Speaker A: Ground? Not always. It just depends on the situation.\n[00:11 - 00:12] Speaker B: Why did you pick it up this time?\n[00:13 - 00:23] Speaker A: I don't know. I just saw it there and thought I could use it to pay the  extra cost that came up unexpectedly during my transaction at the convenience store when I was short on change.\n[00:24 - 00:30] Speaker B: Fee? That's a practical use. But I'm curious, do you often think about how small actions like this can add up?\n[00:31 - 00:35] Speaker A: Yeah, I guess so. I'm just glad I could help out in this small way."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--967872.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hi, I couldn't help but notice how upset you seem. Is there anything I can do to help?\n[00:05 - 00:16] Speaker B: No, I don't think so. I'm just going through a really tough time right now, and it's been hard to keep everything together both at work and in my personal relationships while dealing with all these overwhelming emotions.\n[00:09 - 00:18] Speaker A: I'm really sorry to interrupt, but I just want to make sure—are you getting enough support from the people around you? Sometimes it helps to have someone to lean on.\n[00:19 - 00:25] Speaker B: I appreciate your concern. I do have some support, but it still feels like everything is just falling apart.\n[00:25 - 00:33] Speaker A: That sounds incredibly difficult. I can't even imagine how you're managing to get through it all. You're so strong.\n[00:33 - 00:38] Speaker B: Thank you, but honestly, it doesn't feel like strength. It's more like I'm just trying to hold on.\n[00:38 - 00:49] Speaker A: Well, if there's anything I can do to help, please don't hesitate to let me know. In the meantime, try to stay positive and remember that things will eventually get better."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--833014.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I'm finished with the report. Overall, our sales are up compared to last quarter. I think we're on track to hit our targets for the year.\n[00:07 - 00:12] Speaker B: That's great news, Cael. Can you go into more detail about what areas saw the most growth?\n[00:12 - 00:32] Speaker A: Sure. Our biggest increase was in online sales, which were up by 30%. We also saw a 12% increase in brick-and-mortar sales, and a 5% increase in international markets, particularly in Europe and Asia where we've been implementing localized marketing strategies and expanding our distribution networks.\n[00:24 - 00:33] Speaker B: Sorry to interrupt, but I have a different opinion on international sales. Do you think the 5% increase is significant enough to focus on, or should we prioritize other areas?\n[00:34 - 00:56] Speaker A: That's a good point. We might need to evaluate our focus. However, I haven't finished explaining the reasons behind the growth in online sales. We've been investing a lot in our online presence, and I think it's starting to pay off. We've got a new website that's more user-friendly, and we're doing more social media campaigns that are targeted to specific demographics.\n[00:57 - 01:04] Speaker B: Social media marketing is crucial, but do we have the right team to handle the increased demand? Should we consider hiring more specialists?\n[01:05 - 01:22] Speaker A: That's something we should definitely consider. I also wanted to mention that the increase in brick-and-mortar sales is partly because we opened two new stores this quarter, and we're doing more promotions and  events in our existing stores that have been attracting a younger demographic and increasing foot traffic significantly.\n[01:23 - 01:28] Speaker B: That makes sense. Well, keep up the good work. I think we're on track for a very successful year."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--633328.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey Joe, I just wanted to let you know that I completed a task!\n[00:04 - 00:06] Speaker B: That's great! What was the task?\n[00:07 - 00:20] Speaker A: Well, I set a timer for myself and got to work. After I finished the task, I felt really satisfied and like I had made good use of my time, which is something I've been struggling with lately due to all the distractions at home and at work.\n[00:12 - 00:17] Speaker B: Sorry to cut in, but did setting the timer help you stay focused? I'm thinking of trying that myself.\n[00:18 - 00:22] Speaker A: It definitely did! I felt more productive and accomplished afterward.\n[00:23 - 00:26] Speaker B: That's terrific! It's always great to feel productive.\n[00:27 - 00:33] Speaker A: Yeah, I definitely feel more productive when I complete tasks. Thanks for talking with me, Joe.\n[00:33 - 00:36] Speaker B: No problem, Terriana. Talk to you later!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--952835.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: I really admire the way you carry yourself, Kaily. You always seem so confident and sure of yourself. I wish I could be more like that.\n[00:08 - 00:27] Speaker B: Well, thank you, Chyna. It's something that I've had to work on, for sure. Confidence is something that you have to build from within yourself. It's not something that just comes naturally to everyone. For me, it took years of consciously challenging my self-doubt, practicing positive self-talk, and surrounding myself with supportive people who encouraged my growth.\n[00:18 - 00:25] Speaker A: Sorry to jump in, but how did you start building it? Was there a specific moment or event that triggered this change for you?\n[00:26 - 00:47] Speaker B: There wasn't a single moment, but a series of small steps and experiences that helped me. For example, I started taking risks in situations where I felt uncomfortable. But once I started believing in myself and my own abilities, things got a lot easier. Nowadays, I still have moments where I doubt myself – we all do – but overall, I feel pretty good about who I am and what I can do.\n[00:47 - 00:57] Speaker A: That's really inspiring, Kaily. I'm definitely going to try to work on my confidence more. It would make such a difference in my life if I could feel that way all the time.\n[00:58 - 01:01] Speaker B: Absolutely! I believe in you, Chyna. You can do it!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--883174.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm sorry for what I did. I know it was wrong and I regret it.\n[00:04 - 00:10] Speaker B: Why did you feel like you had no other choice when there were clearly better options available to someone in your situation?\n[00:05 - 00:08] Speaker A: I was desperate. I need the money to support my family.\n[00:09 - 00:18] Speaker B: That's no excuse. There are other ways to get money besides robbing a store. What were you  thinking would happen after you did this terrible thing that would affect so many innocent people's lives?\n[00:18 - 00:24] Speaker A: I wasn't thinking. I was just desperate and panicked. I'm sorry, please don't arrest me.\n[00:24 - 00:33] Speaker B: Well, you're already under arrest so there's not much we can do about that now. You'll have to come with us down to the station and we'll figure everything out from there."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--706051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I've decided to start writing a novel.\n[00:02 - 00:04] Speaker B: What made you come to that decision?\n[00:04 - 00:23] Speaker A: I was reading a book by Charles Dickens and I suddenly felt inspired. He's such a great writer and I thought to myself, \"I can do this and create something that resonates with readers on a deep level, exploring themes of social injustice and personal redemption just like he did in his classic novels.\"\n[00:13 - 00:18] Speaker B: Oh, Dickens! His work is so intricate. Are you planning to emulate his style, or will you be adding your own twist to it?\n[00:19 - 00:41] Speaker A: I'll definitely add my own twist to it. My novel is set in the Victorian era and it follows the story of two young lovers who are forced to part ways. But they never forget each other and eventually find their way through all the challenges life throws at them, discovering new strengths within themselves and ultimately proving that true love can withstand even the harshest of circumstances.\n[00:42 - 00:51] Speaker B: Victorian era, you say? That era has such a rich atmosphere. How are you planning to research the historical details to make sure everything feels authentic?\n[00:51 - 01:05] Speaker A: I'm planning to dive into some historical texts and maybe even visit a few museums. I was going to mention that they eventually find their way back to each other, but the research is definitely a big part of the process."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--514225.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, can I talk to you for a second?\n[00:03 - 00:03] Speaker B: What is it?\n[00:04 - 00:06] Speaker A: I wanted to talk to you about getting fired.\n[00:06 - 00:22] Speaker B: Amonte, you know why you were fired. You were constantly doing things without thinking and it led to accidents. I can't have someone working for me who isn't paying attention to detail and following procedures closely because this is a high-risk environment where mistakes could endanger lives and damage expensive equipment.\n[00:14 - 00:22] Speaker A: I understand that, but I've really been working on being more careful. I know I messed up, but can't you give me another chance?\n[00:22 - 00:25] Speaker B: I'm sorry, Amonte, but no.\n[00:25 - 00:27] Speaker A: Please, I need this job.\n[00:27 - 00:38] Speaker B: Amonte, I  wish I could help, but I have to think about the safety and well-being of the entire team and maintain professional standards that ensure everyone can work without unnecessary risks.\n[00:38 - 00:41] Speaker A: I really need this, just one more chance.\n[00:41 - 00:42] Speaker B: Fine."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--984123.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, I'm so glad you could have me over!\n[00:03 - 00:06] Speaker B: Yeah, no problem. So, how've you been?\n[00:06 - 00:19] Speaker A: I've been good. I just turned off the heat before I left, so hopefully the house won't be too cold when I get back since I also made sure to close all the windows and double-check the thermostat settings before heading out.\n[00:12 - 00:17] Speaker B: Oh, speaking of your house, did you ever get that leak fixed? You mentioned it last time.\n[00:17 - 00:21] Speaker A: Yes, I did! It was a bit of a hassle, but it's all sorted now.\n[00:22 - 00:24] Speaker B: That's really responsible of you.\n[00:24 - 00:29] Speaker A: Yeah, I try to be. My mom always says that it's better to be safe than sorry.\n[00:30 - 00:32] Speaker B: That's a good motto to live by."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--488132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: I can't believe we're finally here! I've been waiting forever to see them live and now that the moment has arrived, I'm practically shaking with excitement as the lights dim and the crowd erupts in anticipation of the show starting any second now.\n[00:08 - 00:15] Speaker B: I know, me too! I'm so excited. I wonder what they'll play first. Maybe they'll open with a classic hit to get everyone hyped.\n[00:15 - 00:19] Speaker A: Do you think they'll start with something upbeat or maybe something more mellow?\n[00:20 - 00:28] Speaker B: Oh, I hope they play all of my favorites. I would die if they didn't play 'Desert Rose'. That's my favorite song of theirs. It always gives me chills every time I hear it.\n[00:28 - 00:35] Speaker A: 'Desert Rose' is amazing! But what if they surprise us with a new track? That would be incredible, right?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--559740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey Klara! I'm so happy to see you. How's school been?\n[00:03 - 00:15] Speaker B: It's been good. I really like my English class this semester. And Mrs. Nguyen is my favorite teacher because she really makes the class come alive with her interactive discussions and creative approaches to analyzing classic literature.\n[00:08 - 00:14] Speaker A: Oh, Mrs. Nguyen! I've heard she's amazing. Does she do anything special in her classes?\n[00:15 - 00:23] Speaker B: Yeah, she has this way of making literature really engaging. But, to be honest, I don't really care for math too much because it's always been a bit challenging for me.\n[00:24 - 00:31] Speaker A: Math, yeah, that's a tough one for a lot of people. Have you thought about getting some extra help, like tutoring?\n[00:31 - 00:40] Speaker B: I have, but it's not too bad. I think I can manage it. Overall, though, I've made some great friends and I'm learning a lot of new things. So, all in all, I'd say it's pretty good."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--901379.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:19] Speaker A: Thank you so much for the kind words, Mrs. Smith. It's truly my pleasure to help keep your home looking beautiful. I know how important it is to you and I'm glad I can be of assistance in maintaining the charm of your lovely home, especially since you've always been so welcoming and appreciative of my work over these past few years.\n[00:10 - 00:18] Speaker B: Adeline, you are far too modest. I don't know what I would do without you! You have been such a help to me over the years and I really appreciate it.\n[00:18 - 00:24] Speaker A: Oh, it's nothing, really. I just enjoy doing it and I'm happy to help out however I can.\n[00:24 - 00:32] Speaker B: Well, I appreciate it nonetheless. You're a very talented young man and I'm sure you'll achieve great things in the future with your dedication and hard work.\n[00:33 - 00:43] Speaker A: Sorry to interrupt, Mrs. Smith, but I wanted to mention that I didn't get to finish earlier. I'm glad I can be of assistance, especially with the garden. It's my favorite part of the job.\n[00:44 - 00:49] Speaker B: Oh, of course! The garden looks absolutely wonderful. You really have a knack for it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--729972.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Thank you so much for taking me on this amazing trip! The Himalayas are absolutely breathtaking. I feel so relaxed here, and the fresh air is wonderful. I can't believe how lucky I am to be able to experience all of this!\n[00:13 - 00:30] Speaker B: You're very welcome! I'm glad you're enjoying yourself. The Himalayas are a truly special place. There's something about the mountains that just makes you feel at peace, don't you think it's like a natural therapy for the soul that connects us to something greater than ourselves and helps put all our daily worries into perspective?\n[00:22 - 00:26] Speaker A: Absolutely! By the way, do you come here often?\n[00:26 - 00:36] Speaker B: Oh yes, I love it here! I try to come as often as I can. It's a great way to clear your head and recharge your batteries, especially after dealing with the hustle and bustle of city life.\n[00:37 - 00:44] Speaker A: I can definitely see that. I think I could stay here forever and just soak up all the peace and tranquility that the mountains offer.\n[00:45 - 00:54] Speaker B: I know exactly what you mean! But unfortunately, we'll have to head back down at some point. Just curious, what do you think is the main reason why people find mountains so calming?\n[00:54 - 01:06] Speaker A: That's a good question. I think it's the combination of the natural beauty and the sense of isolation from everyday stress. But you mentioned we have to head back down—how much time do we have left here?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--937978.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Sarah, I got a letter in the mail today. It was addressed to me, but it had your name on it too.\n[00:06 - 00:07] Speaker B: What does it say?\n[00:07 - 00:29] Speaker A: It's from someone named Mark Johnson. He says he's a friend of ours from college. He says he's been trying to reach us for years, but he didn't have our current address. He finally tracked us down through our college alumni network and found our contact information after searching through multiple databases and contacting several mutual acquaintances from our university days.\n[00:20 - 00:27] Speaker B: Wait, Mark Johnson? I don't remember anyone by that name from college. Are you sure he's talking about us?\n[00:27 - 00:36] Speaker A: That's what I thought was strange too. I don't remember him either. But the letter says we were good friends. He even has some old photos of us together.\n[00:36 - 00:38] Speaker B: That is weird. What does he want?\n[00:39 - 00:54] Speaker A: He wants to get together with us. He says he's in town for a few days and he would like to meet up with  us for coffee or dinner to reminisce about old times and discuss some important business opportunities he thinks we might be interested in based on our shared history.\n[00:55 - 01:00] Speaker B: Do you think this could be some kind of scam? I mean, why would he suddenly want to meet after all these years?\n[01:00 - 01:10] Speaker A: It crossed my mind too. But the letter seems genuine. He says he just wants to catch up with old friends. Still, I'm not sure if we should respond."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--649458.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Tyeisha!\n[00:01 - 00:03] Speaker B: Oh, hey Lolita. What's up?\n[00:03 - 00:06] Speaker A: Not much. Just wanted to say hi.\n[00:06 - 00:07] Speaker B: Hi!\n[00:07 - 00:09] Speaker A: So, what's new with you?\n[00:09 - 00:12] Speaker B: Not much. Just hanging out, doing my thing.\n[00:12 - 00:24] Speaker A: That's cool. I'm just chilling too. So, what have you been up to lately? Any new hobbies or activities that you've been particularly excited about or wanting to try out in the near future?\n[00:16 - 00:20] Speaker B: Actually, I wanted to ask, have you heard about the new club that's starting on campus?\n[00:21 - 00:26] Speaker A: No, I haven't. What's it about? I was just asking what you've been up to lately.\n[00:26 - 00:30] Speaker B: Just the usual stuff. You know, school and work and stuff.\n[00:31 - 00:36] Speaker A: Yeah, I know how that is. It can be pretty tough to balance everything sometimes.\n[00:36 - 00:46] Speaker B: Tell me about it! But it's all good though. I'm managing so  far, but it does get overwhelming at times when the deadlines start piling up and I have to juggle multiple projects simultaneously.\n[00:47 - 00:56] Speaker A: Sorry to cut in, but I just remembered, do you need any help with your workload? Maybe we can study together or something.\n[00:56 - 01:02] Speaker B: That's really nice of you! I'm managing so far. That's great! I'm sure you'll do fine. You're a smart guy.\n[01:02 - 01:04] Speaker A: Thanks Lolita!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--437704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, Karina. I'm Ailany.\n[00:03 - 00:06] Speaker B: Hi, Ailany. Nice to meet you.\n[00:06 - 00:11] Speaker A: I'm a big fan of your work. I was wondering if I could talk to you about it sometime.\n[00:12 - 00:21] Speaker B: Sure, that would be great. Let's go into the museum and we can discuss it in a more relaxed environment where we can really dive deep into the artistic techniques and themes that interest you the most.\n[00:15 - 00:19] Speaker A: Sorry to interrupt, but is everything okay? You seem a bit off.\n[00:20 - 00:24] Speaker B: Yeah, sorry. I just got a little dizzy for a second there.\n[00:24 - 00:31] Speaker A: Karina...I wanted to tell you that I'm gay. And I've been attracted to you since the moment I saw you.\n[00:31 - 00:44] Speaker B: Thank you for telling me, Ailany. I appreciate your honesty. I'm glad we can be friends despite the circumstances and the feelings you've shared, as I truly value our connection and the meaningful conversations we've had about art and life.\n[00:43 - 00:46] Speaker A: Friends? Is that all you want from me?\n[00:46 - 00:53] Speaker B: Ailany...I like you too but we can't act on our feelings because it would be inappropriate given my position as your teacher."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--370577.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:04] Speaker B: Not much. Just been hanging out at home today.\n[00:04 - 00:16] Speaker A: Yeah, I've been home all day too. It's been nice just relaxing in our own space without any distractions, enjoying the peace and quiet while we can before the busy week starts again.\n[00:09 - 00:15] Speaker B: Speaking of relaxing, did you notice how the living room feels even cozier since we rearranged the furniture?\n[00:15 - 00:24] Speaker A: I know! I'm so glad we found this place. It was perfect for us. The new layout really makes a difference. So, what did you do today?\n[00:24 - 00:30] Speaker B: Not much, just hung out around the house. Did some laundry, cleaned up a bit, made lunch… nothing exciting. What about you?\n[00:31 - 00:41] Speaker A: Same here. Just chilled at home and relaxed. Watched some TV, played with the dog… nothing too exciting either. But it was nice to have a lazy day every once in awhile.\n[00:42 - 00:53] Speaker B: Yeah, I know. I think we both needed it. We've been so busy with work and other commitments that we haven't had much time for ourselves, and I feel like we've barely had a moment to just sit down and talk properly.\n[00:52 - 01:01] Speaker A: Exactly, and with everything going on lately, it's like we never get a chance to just breathe. We should definitely make lazy days a regular thing!\n[01:01 - 01:02] Speaker B: I would love that!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--27924.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Gissel. I was wondering if I could ask for your help with something.\n[00:04 - 00:06] Speaker B: Of course, Daizy. What do you need?\n[00:07 - 00:10] Speaker A: Well, I was hoping you could help me with a project I'm working on.\n[00:11 - 00:12] Speaker B: Sure. What is it?\n[00:12 - 00:29] Speaker A: I'm working on a presentation for my boss and I really want to make sure it's perfect. Do you have any experience with creating compelling presentations for executive audiences that focus on delivering key messages clearly while maintaining visual appeal and professional polish?\n[00:19 - 00:28] Speaker B: PowerPoint? Yes, I actually have quite a bit of experience with PowerPoint. Let me take a look at what you have so far and see if I can offer any suggestions.\n[00:29 - 00:39] Speaker A: Thank you so much! I was going to ask if you have any tips on making the slides more engaging, but I also wanted to know if you have any strategies for structuring the content effectively.\n[00:40 - 00:46] Speaker B: One thing that always works for me is adding visuals and keeping the text minimal. But what else were you going to ask?\n[00:46 - 00:53] Speaker A: I wanted to know if you have any advice on how to handle the Q&A session after the presentation."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1144076.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: Honey, I was just thinking about when I was a kid and how things have changed since then. Do you ever feel like we've lost some of the simplicity that used to make life feel more genuine and meaningful, back when people actually took time to have real conversations instead of just texting all the time?\n[00:06 - 00:15] Speaker B: Sorry, I just remembered something. Do you think our kids are going to feel the same way when they grow up? Like, will they look back and feel like their world has changed just as much?\n[00:15 - 00:27] Speaker A: That's a good point. I think they might, especially with how fast technology is evolving. But what I was going to say earlier is that it's hard to keep up with everything that's going on nowadays, just like you mentioned.\n[00:28 - 00:36] Speaker B: Yeah, it definitely is. I feel like we've lost touch with some of the things that are important in life because we're always trying to keep up with everything else.\n[00:36 - 00:48] Speaker A: I know what you mean. We used to have more time to just relax and enjoy life, but now it feels like we're always running around and there's never enough time to just sit down and connect with each other.\n[00:48 - 00:56] Speaker B: Speaking of time, do you think we should try to schedule some downtime this weekend? Just to unwind and maybe recapture a bit of that feeling?\n[00:57 - 01:04] Speaker A: That's a great idea. We definitely need to take a break and appreciate the little things in life, just like we used to."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--584031.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, I'm back from my trip to Europe! How was everything while I was gone?\n[00:05 - 00:16] Speaker B: Wow, it sounds like you had an amazing time! What was your favorite part of the trip? Did anything stand out in particular, like any special moments or unexpected adventures that made your journey truly memorable?\n[00:08 - 00:28] Speaker A: Oh, it's hard to pick just one! There were so many highlights, but if I had to narrow it down, I would say visiting the Eiffel Tower in Paris and then taking a gondola ride in Venice. Both were just so surreal and beautiful. I'm still trying to wrap my head around how much history and culture I was able to soak in during such a short period.\n[00:28 - 00:34] Speaker B: Sorry to interrupt, but did you get a chance to try any local foods while you were there? I've heard the cuisine is amazing!\n[00:35 - 00:52] Speaker A: Absolutely! The food was incredible. I had croissants every morning in Paris, and in Venice, I tried some of the best pasta I've ever had. But I was also going to mention how the museums were just as breathtaking as the food. The Louvre, for instance, was really cool.\n[00:52 - 00:56] Speaker B: That sounds like an amazing trip! I'm so happy you got to experience all of that."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--468879.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, Mom. I was thinking about what I want to do with my life and I think I've found my calling.\n[00:06 - 00:08] Speaker B: Oh, really? What is it, dear?\n[00:08 - 00:12] Speaker A: I want to help animals. I'm going to be an animal communicator.\n[00:12 - 00:24] Speaker B: That's wonderful, Callaway! But what exactly does that involve? How will you be able to communicate with animals in a way that helps them understand human intentions and navigate challenging situations they might encounter?\n[00:17 - 00:36] Speaker A: Sorry, I should have explained better. Basically, I'll be helping animals who are in need - either sick, lost, or in danger. By communicating with them telepathically, I'll be able to help them understand what they need to do and where they need to go. Hopefully, this will make their lives a little bit easier and safer.\n[00:36 - 00:44] Speaker B: Wow, that sounds like an amazing gift! How did you discover that you could communicate with animals in this way? Did something specific happen?\n[00:44 - 01:09] Speaker A: Actually, it started when I was a little girl. I always felt a connection to animals. And lately, I've noticed they seem to understand me too—like when I talked to our dog about not chewing on my shoes anymore (laughs). After researching online and talking to people who have this ability, it seems like something that comes naturally to me and that I could really use to help others. So that's why animal communication is my calling.\n[01:10 - 01:17] Speaker B: Well Callaway, if this is truly what you feel called to do, then follow your heart and go for it! We'll support you all the way!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--33760.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, thanks for coming out today. It really means a lot.\n[00:04 - 00:12] Speaker B: Of course! I believe in what you're doing, and I think it's so inspiring to see how dedicated you are to this cause despite all the challenges and obstacles that keep coming your way.\n[00:07 - 00:14] Speaker A: Sorry to jump in, but I just wanted to say that your support really motivates me. It's that kind of belief that keeps us going.\n[00:15 - 00:22] Speaker B: Yeah, I feel confident that we're going to make a difference. Just by being here and carrying these signs, people are going to start paying attention.\n[00:22 - 00:30] Speaker A: Absolutely! And I know you're doing an amazing job leading this strike. You're so passionate and committed to making this change happen.\n[00:31 - 00:38] Speaker B: Strong, yes, but it's the collective strength that really matters. Every single person here adds to the impact we're making.\n[00:39 - 00:45] Speaker A: Thank you. It's not easy, but it's worth it. We have to stand up for what we believe in and fight for change.\n[00:46 - 00:49] Speaker B: Absolutely! So many people are behind you, and we're all rooting for you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--903126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Marquavious. What's going on? You seem upset.\n[00:05 - 00:15] Speaker B: I'm just really frustrated right now. I feel like everything is going wrong, and I'm not sure how to fix it. It's like every time I try to make progress, something else comes up and knocks me back down again.\n[00:09 - 00:21] Speaker A: Wrong? I'm sorry to hear that. It sounds like you're feeling pretty overwhelmed. Do you want to talk about what's going on? I might be able to help you out or at least offer some support.\n[00:21 - 00:29] Speaker B: Thanks, Marilu. I appreciate it. I guess I've just been feeling really down lately. Everything seems so hard and I don't know how to make it better.\n[00:29 - 00:39] Speaker A: Better? Well, let's start with one thing at a time then. What's been the most difficult part of your day? We can focus on that and see if we can figure out a solution together.\n[00:40 - 00:43] Speaker B: I don't know. It feels like everything is a struggle right now.\n[00:44 - 00:50] Speaker A: Okay, let's take a step back then. What's been going on that's been making you feel this way?\n[00:50 - 00:55] Speaker B: I don't know. Everything just seems so pointless. Like, what's the point of even trying anymore?\n[00:55 - 01:15] Speaker A: Well, it sounds like you're feeling really hopeless right now. That can be really tough to deal with. But it doesn't have to be permanent. There are things we can do to help you feel  better, like breaking problems into smaller steps or finding activities that bring you joy and a sense of accomplishment. Would you like to talk about some of those things?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--75062.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: Father, I know you're set in your ways and you don't like change, but things are different now. You can't just keep living in the past and expect everything to stay the same when technological advancements and social norms are evolving at such a rapid pace all around us.\n[00:07 - 00:12] Speaker B: I'm not living in the past, I'm living in the present. But tell me, what exactly are you so worried about?\n[00:12 - 00:23] Speaker A: I'm worried that if we don't adapt, we'll be left behind. The world is moving forward, and if we stay stuck in our old ways, we might miss out on important opportunities.\n[00:23 - 00:34] Speaker B: I understand your concern, but why does everything have to change just because the world does? We've always done things a certain way, and it's worked fine up until now. Why fix something that isn't broken?\n[00:34 - 00:42] Speaker A: Because things are different now, and we need to adapt. If we don't, we might find ourselves struggling to keep up with the changes around us.\n[00:43 - 00:46] Speaker B: I get that, but what exactly do you think will happen if we don't change?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--142496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, doctor. I'm here about my broken arm.\n[00:03 - 00:05] Speaker B: Hi, Carlisle. Let's take a look at your arm.\n[00:06 - 00:09] Speaker A: It hurts a lot. I can't even move it without pain.\n[00:10 - 00:14] Speaker B: That sounds like a serious break. We'll need to put a cast on it to help it heal properly.\n[00:14 - 00:28] Speaker A: Okay, but how long will I have to wear the cast? And will I be able to play the violin in the near future, considering I have an important concert coming up and I've been practicing for months to prepare for this performance?\n[00:20 - 00:27] Speaker B: Sorry to interrupt, but before we talk about playing the violin, I need to know if you have any allergies to materials we might use for the cast.\n[00:28 - 00:34] Speaker A: No, I don't have any allergies. So, about the cast, how long will I need to wear it?\n[00:34 - 00:54] Speaker B: The cast will need to stay on for at least six weeks, and then we'll see how your arm is healing and go from there. As for playing the violin again, with proper healing and physical therapy, there's no reason why you shouldn't be able to  participate in your concert, but we will need to monitor your progress closely and adjust your therapy regimen based on how quickly your arm regains its full range of motion.\n[00:55 - 01:00] Speaker A: That's reassuring to hear. But what kind of physical therapy will I need to do?\n[01:00 - 01:09] Speaker B: Physical therapy will involve exercises to regain strength and flexibility in your arm. Don't worry, we'll take care of you and get your arm healed up in no time."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--8820.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: Don't worry, I fixed it. The pedal just came off and the chain was tangled, but I got it all straightened out and back in place with some basic tools I always carry in my repair kit for situations exactly like this one. We're good to go now.\n[00:05 - 00:10] Speaker B: Thank goodness! I was starting to get a little worried. How did you manage to fix it so quickly?\n[00:10 - 00:21] Speaker A: It wasn't too complicated. I just had to stay calm and think about what needed to be done. I'm not going to let a little thing like that stop me from finishing this race.\n[00:21 - 00:26] Speaker B: You're really something, Alexavier. I don't know anyone else who could have handled that without panicking.\n[00:27 - 00:32] Speaker A: It's no big deal, really. Anyone could have done it if they just kept calm and focused.\n[00:33 - 00:35] Speaker B: Well, I'm glad you were the one who did it. You're amazing!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1073790.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I'm pregnant.\n[00:01 - 00:11] Speaker B: Congratulations! When are you due? I remember my sister was due in September too, and she had the most beautiful autumn baby shower with all the seasonal decorations.\n[00:03 - 00:04] Speaker A: September.\n[00:04 - 00:12] Speaker B: Wow, you must be so excited! Do you know what you're  having? I've heard that finding out the gender early really helps with planning the nursery and picking out clothes.\n[00:13 - 00:14] Speaker A: A girl.\n[00:14 - 00:17] Speaker B: That's amazing! Have you started thinking about names yet?\n[00:17 - 00:21] Speaker A: Not really. I want something unique, but not too out there.\n[00:22 - 00:26] Speaker B: Yeah, that can be tough. My cousin named her daughter Harper and I love it.\n[00:26 - 00:30] Speaker A: That's a really pretty name. I'll have to keep that in mind.\n[00:30 - 00:34] Speaker B: Absolutely! So, are you feeling okay? Any morning sickness?\n[00:34 - 00:41] Speaker A: Yeah, I've been feeling pretty good so far. Just a little tired and nauseous at times, but nothing too bad.\n[00:42 - 00:44] Speaker B: That's great! Let me know if you need anything, okay?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--419304.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: I'm just trying to help people, you know? I see so many people my age struggling, and I feel like I have something to offer them, whether it's advice, support, or just being there to listen. Sometimes all someone needs is a kind word or a different perspective to help them through tough times.\n[00:07 - 00:13] Speaker B: Sorry, but I couldn't help but wonder—when you say \"struggling,\" are you talking about financial struggles, mental health, or something else?\n[00:13 - 00:20] Speaker A: It's a mix of both, really. People are dealing with so much, and I feel like I can make a difference.\n[00:20 - 00:25] Speaker B: That's really admirable, Trista. But don't you think you could be doing more with your life?\n[00:25 - 00:26] Speaker A: What do you mean?\n[00:26 - 00:38] Speaker B: Well, you're a smart guy. You could be making a lot more money if you went into a different  field, like tech or finance, where your skills could really shine and you'd have the financial freedom to support even larger charitable initiatives.\n[00:39 - 00:43] Speaker A: Jerry, I get where you're coming from, but to me, money isn't everything.\n[00:43 - 00:51] Speaker B: I know that. But it is important. And you could be helping more people if you had more resources at your disposal. Just think about it, okay?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1171436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Hi Emery. I've been admiring your work for some time and I've decided to join your company because I truly believe in the innovative approach and vision you've established in the industry.\n[00:11 - 00:22] Speaker B: That's great! I'm really happy to have you join us and contribute your expertise to our ongoing projects, especially since your background aligns perfectly with our current initiatives and future expansion plans.\n[00:13 - 00:24] Speaker A: Before we go further, could you tell me a bit more about the team dynamics here? I want to make sure I can integrate smoothly and understand how everyone collaborates on a day-to-day basis.\n[00:24 - 00:44] Speaker B: Absolutely, the team is very collaborative, and we emphasize open communication. I was going to say that I'm really happy to have you on board, and I think you'll fit in well. After the tour, we can dive into your project and\n[00:45 - 00:57] Speaker A: Actually, about the project—could we discuss the timeline first? I want to make sure I can deliver on expectations and understand the key deadlines and deliverables in detail before committing to anything."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, Mama.\n[00:01 - 00:02] Speaker B: Hey, baby. What are you up to?\n[00:03 - 00:16] Speaker A: Just reading this book. It's really fascinating because it has such vivid descriptions of ancient ruins and the characters are so well-developed that you feel like you're right there with them on their journey. I think you'd like it too.\n[00:05 - 00:09] Speaker B: Oh, what book are you reading? Is it one of those adventure stories you like?\n[00:09 - 00:14] Speaker A: Yeah, it is. It's about a boy who goes on an adventure to find a lost city.\n[00:15 - 00:25] Speaker B: That sounds like a great story. I can't wait to hear more about  what happens next in the boy's journey as he encounters mysterious artifacts and solves puzzles left behind by an ancient civilization.\n[00:26 - 00:30] Speaker A: Actually, Mama, do you think I could go on an adventure like that one day?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--20810.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's going on?\n[00:02 - 00:07] Speaker B: Oh, just telling a story about this monster I saw in the woods. It was huge! And so scary!\n[00:07 - 00:09] Speaker A: Really? What did it look like?\n[00:10 - 00:24] Speaker B: Well, it was hard to tell because it was so dark, but it seemed to be covered in fur and had these big sharp claws that looked like they could tear through anything, with long curved talons that gleamed even in the dim moonlight and left deep gouges in the tree trunks nearby.\n[00:15 - 00:23] Speaker A: Wait, did you manage to get a closer look? I mean, were you able to see any tracks or anything that might help identify it?\n[00:23 - 00:30] Speaker B: No, I was too scared to stick around and look for tracks. But it had these big sharp teeth, and it was just terrifying!\n[00:30 - 00:35] Speaker A: Wow, that sounds like quite a sight. Did you tell anyone else about it?\n[00:35 - 00:48] Speaker B: Yeah, I told the elders and they said they'd look into it. But I haven't heard anything since, so I'm not sure if they believe me or\n[00:51 - 00:58] Speaker A: Maybe they're just being cautious. If they haven't gotten back to you, it might mean they're still investigating.\n[00:58 - 01:03] Speaker B: Yeah, maybe. Well, I'm sure they'll find something eventually. Thanks for listening."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--933257.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I can't believe you would just give up on me like that!\n[00:03 - 00:13] Speaker B: I'm not giving up on you, I'm just trying to understand what you mean by that statement because it seems like we're having completely different interpretations of the current situation between us.\n[00:06 - 00:11] Speaker A: You're not listening to me! I told you what I want, and you're just ignoring me!\n[00:11 - 00:18] Speaker B: An, please calm down. We can talk about this in a more constructive way, but I need you to help me understand where you're coming from.\n[00:18 - 00:23] Speaker A: No, I won't calm down! You're not listening to me and it's really frustrating!\n[00:23 - 00:28] Speaker B: Okay, okay. I'm sorry. Let's start again. What is it that you want?\n[00:29 - 00:32] Speaker A: I want you to listen to me and take me seriously!\n[00:32 - 00:36] Speaker B: Okay, I'm sorry. I'm listening. What do you want to tell me?\n[00:36 - 00:41] Speaker A: I don't know, it doesn't matter what I say, you're just going to ignore me anyway!\n[00:42 - 00:47] Speaker B: An, that's not fair. Tell me what's going on in your mind right now. I want to understand how you're feeling.\n[00:47 - 00:51] Speaker A: Fine! I'll just leave then, since you don't care about what I have to say!\n[00:52 - 00:55] Speaker B: An, wait! Let's not end this conversation like this."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--583204.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: I'm going to pick up some money because I want to pay for my family's trip to the park and make sure we have enough for tickets, food, and maybe even some souvenirs if there's any left over.\n[00:12 - 00:15] Speaker B: How are you going to get that much money? Do you have a plan?\n[00:15 - 00:25] Speaker A: I'm going to ask my mom if she can lend me some money since she's always been supportive of our family outings and understands how important these moments are for us.\n[00:25 - 00:27] Speaker B: Why don't you just use your allowance?\n[00:28 - 00:39] Speaker A: My allowance isn't enough. I need to get at least $50 so we can all go and enjoy the full experience without worrying about running short on funds halfway through the day.\n[00:39 - 00:51] Speaker B: That's a lot of money. Are you sure your mom will agree to give you that much considering how expensive everything is these days? Maybe you should consider other options like doing extra chores or finding a small weekend job to earn the difference.\n[00:42 - 00:54] Speaker A: She said she would if I really needed it. Besides, it's not like I'm asking for a new car or anything. Just some money for the park which will create wonderful memories for our whole family that we'll cherish forever."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--869455.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, would you like to sit down?\n[00:02 - 00:04] Speaker B: Thank you, I appreciate it.\n[00:04 - 00:08] Speaker A: It's no problem at all. How are you today?\n[00:08 - 00:11] Speaker B: Oh, I'm doing well. Just enjoying the day. And yourself?\n[00:12 - 00:25] Speaker A: Same here. Just taking it easy and enjoying the weather. So what brings you out here today? Are you just out for a walk or do you have some specific plans like meeting friends or maybe exploring the local cafes in this beautiful neighborhood?\n[00:17 - 00:23] Speaker B: Sorry to interrupt, but I just noticed—do you come here often? I feel like I might have seen you around before.\n[00:24 - 00:31] Speaker A: Actually, I do come here pretty often. It's one of my favorite spots to relax. But you were saying you love nature?\n[00:31 - 00:35] Speaker B: Yeah, I love nature and being outdoors always makes me feel better.\n[00:36 - 00:44] Speaker A: I completely agree. There's just something about being in nature that is so calming and relaxing. Do you live around here?\n[00:45 - 00:48] Speaker B: Yeah, not too far from here. I'm just down the street.\n[00:48 - 00:53] Speaker A: That's great. I'm just up the street from here. So we're practically neighbors.\n[00:53 - 00:56] Speaker B: That's awesome! Small world, huh?\n[00:56 - 01:01] Speaker A: Yeah, it is. Well, it was nice meeting you and I hope you have a great day.\n[01:01 - 01:03] Speaker B: You too! Thanks for the chat."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--860535.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Jaliyah, what's going on? You've been daydreaming in class and your work is suffering because of it, and I've noticed your test scores have dropped significantly over the past few weeks. You need to focus more on your studies.\n[00:05 - 00:09] Speaker B: I'm just really into this game I've been playing. I can't seem to stop thinking about it.\n[00:10 - 00:26] Speaker A: Jaliyah, you're addicted to that game! It's taking over your life! You need to get rid of it before it destroys everything you've worked so hard to achieve, like your grades and your future goals, not to mention your relationships with friends and family who are worried about you.\n[00:27 - 00:31] Speaker B: But I love the game! It's so much fun! I can't just stop playing it cold turkey.\n[00:32 - 00:50] Speaker A: I know it's tough, but you have to try. If you don't, you'll never be able to focus on anything else ever again. Just think about how much better your life will be without that game consuming all of your time and energy. Won't it be great to actually pay attention in class and get good grades again?\n[00:50 - 00:55] Speaker B: I guess you're right. It's just so hard to let go of something I enjoy so much.\n[00:55 - 01:02] Speaker A: It is hard, but you can do it. Just take it one day at a time and eventually you'll be able to kick the habit for good."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--938056.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: What seems to be the problem? Why do you feel that I'm greedy and unprofessional?\n[00:05 - 00:09] Speaker B: Well, you charge an exorbitant fee, and I don't feel that you're worth it.\n[00:09 - 00:35] Speaker A: I see. Well, let me explain my fee to you. First of all, I only work with a select few clients. I'm very choosy about who I work with because I want to make sure that we're a good fit. And secondly, my fee reflects the quality of my work and the results that my clients can expect from my services, which often exceed industry standards and include comprehensive aftercare to ensure long-term satisfaction and measurable improvements.\n[00:27 - 00:29] Speaker B: But don't you think that your fee is a bit too high?\n[00:30 - 00:54] Speaker A: Not at all. In fact, many of my clients have said that they feel like they've gotten a bargain when they compare what they paid me to the results I've helped them achieve. However, I haven't mentioned how my fee structure also includes  ongoing support and follow-up consultations to ensure sustained success, along with access to exclusive resources and personalized strategies that are unavailable through other service providers.\n[00:55 - 00:59] Speaker B: Well, maybe other people feel that way, but I still don't think your fee is fair."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--604161.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey Joe, what's up?\n[00:01 - 00:04] Speaker B: Not much, just hanging out. What about you?\n[00:04 - 00:18] Speaker A: I was just doing some work when I suddenly got the feeling that someone was watching me. It's really unsettling, you know? Like that spine-tingling sensation you get when you know you're not alone even though you can't see anyone around.\n[00:10 - 00:14] Speaker B: Sorry to interrupt, but do you think it could have been a neighbor or someone passing by your window?\n[00:15 - 00:32] Speaker A: No, I didn't see anyone. But I could definitely feel someone's presence. It was really creepy and made me wonder if I should check my security cameras  to see if there's anything unusual recorded from the past few days or maybe even install some motion-activated lights around the property.\n[00:33 - 00:37] Speaker B: Security cameras are a good idea. Do you have any installed already?\n[00:37 - 00:43] Speaker A: Not yet, but I'm considering it now. Well, it could have just been my imagination.\n[00:43 - 00:47] Speaker B: Yeah, maybe you're right. But it's better to be safe than sorry."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--596349.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Alex. What's up?\n[00:02 - 00:03] Speaker B: Not much. Just enjoying the view.\n[00:04 - 00:07] Speaker A: Yeah, me too. It's really beautiful here, isn't it?\n[00:08 - 00:17] Speaker B: Yeah, it is. I'm really lucky to live in such a beautiful place with stunning landscapes that stretch for miles and breathtaking sunsets that paint the sky in vibrant colors every evening.\n[00:12 - 00:20] Speaker A: Speaking of which, do you ever worry about how much the area might change in the future? Like with new developments or more tourists?\n[00:20 - 00:30] Speaker B: I do think about that sometimes. But I was going to say, living here has made me appreciate nature a lot more. Anyway, if the area does change, I hope they preserve its natural beauty.\n[00:30 - 00:34] Speaker A: Absolutely. Preserving the nature here is so important."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--934138.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Mom. I wanted to ask you something.\n[00:02 - 00:04] Speaker B: Sure, what is it?\n[00:04 - 00:26] Speaker A: I found this book at school today and I really want to read it. But it's one of those books that's maybe not appropriate for me yet. You know, because of the subject matter. So I was wondering if you would take a look at it first and let me know if it's okay for me to read, maybe we could even read some chapters together so you can explain anything that might be confusing or too mature.\n[00:17 - 00:21] Speaker B: Oh, do you mean it's one of those books that might have some mature themes? Which book is it?\n[00:21 - 00:26] Speaker A: Yeah, exactly. It's called *The Catcher in the Rye*.\n[00:26 - 00:45] Speaker B: Ah, yes. I've actually heard of this book before. It's supposed to be very good. But you're right, it might not be appropriate for you just yet. How about we compromise and you can read some of it now and then we'll  talk about the parts that might be a bit too mature for you, and I'll help you understand the deeper themes and messages that the author is trying to convey through the story.\n[00:45 - 00:49] Speaker A: Discuss it afterwards? That sounds great, thanks Mom!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--617278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: I don't really see the appeal anymore. I mean, they're just so childish and lacking in depth for me these days, especially when compared to more mature forms of entertainment that offer complex narratives and meaningful character development.\n[00:05 - 00:09] Speaker B: Childish? But isn't that part of the fun? It's a great way to relax and have some fun.\n[00:09 - 00:15] Speaker A: I guess you have a point there. But I just don't think I'm interested in playing them as much as I used to.\n[00:16 - 00:23] Speaker B: Wait, before you finish that thought—what if we tried a different type of game? Something more challenging or strategic? Maybe that would change your perspective.\n[00:24 - 00:31] Speaker A: Hmm, maybe. But right now, they just seem so pointless and juvenile. I'd rather do something else with my time.\n[00:32 - 00:38] Speaker B: Well, if you don't like them, you don't have to play them. But who knows, maybe someday you'll change your mind and give them another try."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--931585.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Jamal. I broke the code when I was trying to figure out that puzzle.\n[00:04 - 00:06] Speaker B: What do you mean you broke the code?\n[00:07 - 00:22] Speaker A: I mean, I solved the puzzle, but in doing so, I changed one of the rules. Now the code is not functioning as it should, and it's causing some unexpected behaviors that could potentially cascade into more serious issues if left unchecked.\n[00:13 - 00:21] Speaker B: Hold on—if the code is broken, does that mean the whole system is compromised? Should we be worried about any immediate consequences?\n[00:21 - 00:36] Speaker A: The system isn't fully compromised, but it's definitely not functioning properly. I need to find out what rule I broke and  determine how it's affecting the system's overall performance by running some diagnostic tests and analyzing the error logs thoroughly.\n[00:37 - 00:42] Speaker B: And how long do you think it'll take to fix it? We might need to inform the team if this could cause delays.\n[00:42 - 00:48] Speaker A: It's hard to say until I pinpoint the exact issue, but I'll keep you updated."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--148115.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:22] Speaker A: So, I've been thinking about this project and I think we need to approach it from a few different angles. First of all, we need to consider the long-term effects of the project. What kind of impact will it have on the environment? Will it be sustainable enough to meet our goals without causing unintended harm to local ecosystems and maintaining biodiversity for future generations?\n[00:13 - 00:22] Speaker B: Sorry to jump in, but I was just wondering, have we already identified the key environmental factors we need to assess? It might help us narrow down our focus.\n[00:22 - 00:38] Speaker A: That's a good point. We definitely need to make sure that the project is sustainable. But we also need to think about the short-term effects. How will it impact the community immediately? We should be mindful of any disruptions or benefits it might bring.\n[00:38 - 00:49] Speaker B: Right. We can't just focus on one thing. We need to find a balance between the two. Otherwise, we'll end up with something that's not effective in the long run or doesn't meet the needs of the community right away.\n[00:49 - 00:59] Speaker A: Exactly. So, what are your thoughts on how we should prioritize these factors in our planning process? We need a clear strategy to address both short-term and long-term impacts.\n[01:00 - 01:08] Speaker B: Sorry, just to clarify, are we considering both qualitative and quantitative data when we talk to the community? That could really shape our approach.\n[01:08 - 01:25] Speaker A: Yes, we'll definitely need a mix of both. Then, we can look at some of the scientific data and see what options are available to us that would be both effective and sustainable. Once we have all that information, we can put together a plan and see if everyone is on board with it.\n[01:25 - 01:28] Speaker B: That sounds like a great plan! Let's get started right away!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--321447.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Makennah. I was wondering what your feelings are.\n[00:04 - 00:13] Speaker B: I'm not really sure. I guess I just feel kind of lost and like I'm not making any real progress despite putting in so much effort every single day across different aspects of my life.\n[00:07 - 00:13] Speaker A: Lost? Do you mean like you're unsure about your career, or is it more about your personal life?\n[00:13 - 00:24] Speaker B: Exactly. That's how I feel. Like there's no clear path for me and I have no idea which way to  turn to find some direction or purpose that truly resonates with my values and aspirations for the future.\n[00:24 - 00:32] Speaker A: I get it. It can be overwhelming when everything feels uncertain. Maybe we can help each other out then. What do you think?\n[00:33 - 00:34] Speaker B: Sure, that sounds good to me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--748043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, Mom.\n[00:02 - 00:03] Speaker B: Hi, Brittnay. How are you?\n[00:04 - 00:07] Speaker A: I'm good. I just wanted to call and talk to you.\n[00:08 - 00:17] Speaker B: I'm glad you called. I've been worried that something might have happened to you because I haven't heard from you in days and you know how my motherly instincts kick in when you don't check in regularly.\n[00:10 - 00:15] Speaker A: I know. I'm sorry. But I'm okay now. Really.\n[00:15 - 00:18] Speaker B: What happened? Tell me everything.\n[00:19 - 00:38] Speaker A: It's a long story, but the short version is that I got lost in the woods and ended up at this old cabin in the middle of nowhere. It was really scary at first, but then this nice couple found  me wandering around disoriented and took me in, gave me warm food and clothes, and helped me contact the authorities to get back home safely.\n[00:38 - 00:42] Speaker B: Wait, you were lost in the woods? How long were you out there?\n[00:42 - 00:49] Speaker A: I think it was about a day and a half before they found me. But I was going to say, they helped me get back home safely.\n[00:50 - 00:54] Speaker B: Oh, Brittnay. I'm so glad you're okay. I was so worried about you.\n[00:54 - 00:58] Speaker A: I know. I'm sorry. But like I said, I'm okay now.\n[00:59 - 01:05] Speaker B: Well, you're definitely grounded when you get home. No more wandering off into the woods by yourself. Understand?\n[01:05 - 01:07] Speaker A: Yes, Mom. I understand."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--806479.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hi, Eian. I'm Sephora. I saw you at the library and you were behaving strangely. Are you a threat?\n[00:07 - 00:15] Speaker B: No, I'm not a threat. I was just feeling a bit out of place, I guess. It was just one of those days where everything felt off and I couldn't quite put my finger on what was wrong.\n[00:09 - 00:14] Speaker A: Out of sorts? Or was it something specific that triggered it?\n[00:14 - 00:19] Speaker B: I think it was just a mix of things. I was feeling really off and like something wasn't right.\n[00:19 - 00:20] Speaker A: Do you need help?\n[00:21 - 00:28] Speaker B: No, I don't think so. I think I just need to go home and take some time to clear my head. Maybe I'll feel better after some rest.\n[00:28 - 00:35] Speaker A: Wait, before you go, are you sure there's nothing else bothering you? Sometimes talking it out can help.\n[00:35 - 00:41] Speaker B: I appreciate that, but really, I just need to rest. Thanks for asking, though.\n[00:42 - 00:47] Speaker A: Okay, well if you're sure you're not a threat. Let me know if you need anything.\n[00:47 - 00:49] Speaker B: I will, thanks."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--797399.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm sorry I'm late. I couldn't remember where you told me to meet you.\n[00:04 - 00:15] Speaker B: That's okay, I understand. It can be tough to find your way around here sometimes. But you made it eventually! So, how have you been finding the new job? I remember you mentioned starting it last time we spoke.\n[00:15 - 00:21] Speaker A: Actually, before I forget, where did you park your car? I had trouble finding a spot.\n[00:22 - 00:29] Speaker B: Oh, I parked in the garage around the corner. It's usually less crowded there. Anyway, I've been good. Just busy with work and stuff.\n[00:29 - 00:41] Speaker A: Yeah, I know how that is. So, what do you want to do today? I was thinking we could catch up over lunch and then maybe explore some of the new shops that just opened downtown last week.\n[00:33 - 00:38] Speaker B: Wait, before we decide, do you have any time constraints today? I need to be somewhere by 5 PM.\n[00:39 - 00:42] Speaker A: No, I'm free all day. What do you think we should do?\n[00:43 - 00:49] Speaker B: Well, there's a lot of things to do around here. We could go shopping, or see a movie, or go for a walk in the park...\n[00:50 - 00:53] Speaker A: A walk in the park sounds nice. Let's do that."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--56287.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: You're welcome. I'm just glad I was able to stop it from happening.\n[00:04 - 00:14] Speaker B: Thank you so much for saving my life. I can't even begin to express how grateful I am for what you did. It means the world to me and I'll never forget your kindness and quick thinking in that moment.\n[00:08 - 00:14] Speaker A: Sorry to jump in, but are you sure you're okay? I mean, physically and emotionally?\n[00:14 - 00:23] Speaker B: I think so, but it's all still a bit of a blur. I don't know what would have happened if you hadn't been there. I'm just glad that you were in the right place at the right time.\n[00:24 - 00:32] Speaker A: Yeah, me too. But seriously, if you need anything—someone to talk to or whatever—don't hesitate to reach out, okay?\n[00:32 - 00:35] Speaker B: I really appreciate that. Thanks again, Antwain.\n[00:35 - 00:37] Speaker A: No problem. Take care."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--787791.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, you've traveled a lot?\n[00:02 - 00:07] Speaker B: Yes, I have. I've been to all sorts of interesting places, from tropical islands to snowy mountain ranges.\n[00:08 - 00:18] Speaker A: Sorry to interrupt, but when you say \"all sorts of places,\" do you mean different countries or also different kinds of environments, like cities versus rural areas?\n[00:19 - 00:35] Speaker B: Both, actually. I've visited various countries and experienced everything from bustling cities to remote villages. It's definitely a great experience. You get to see so many different cultures and meet new people, each with their own unique stories and perspectives that can completely change how you view the world and your place in it.\n[00:29 - 00:33] Speaker A: Speaking of cultures, which one left the biggest impression on you?\n[00:33 - 00:46] Speaker B: That's a tough question, but I think visiting Japan had the most profound impact on me. The blend of tradition and modernity there is just fascinating. But I haven't even mentioned how meeting new people really enhances the whole travel experience.\n[00:46 - 00:49] Speaker A: It must be wonderful to be able to see the world like that.\n[00:50 - 00:53] Speaker B: It is. I highly recommend it if you ever get the chance.\n[00:53 - 00:58] Speaker A: I'm definitely going to try to make it happen. Thank you for talking with me about it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--424960.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Pippa. How are you doing?\n[00:02 - 00:10] Speaker B: I'm doing alright. Just a little overwhelmed with everything going on lately between school, work, and trying to keep up with all my responsibilities at home.\n[00:04 - 00:08] Speaker A: Tired, huh? You want to lie down for a bit? I can keep an eye on you.\n[00:09 - 00:10] Speaker B: That would be great, thanks.\n[00:11 - 00:13] Speaker A: No problem, sis. Anything for you.\n[00:13 - 00:15] Speaker B: Hey, Milani?\n[00:15 - 00:16] Speaker A: Yeah?\n[00:16 - 00:20] Speaker B: Do you think our parents are ever going to work things out and find a way to be happy again?\n[00:21 - 00:27] Speaker A: Stop fighting? I don't know, Bren. I hope so. They love each other, they just have a lot of stress right now.\n[00:27 - 00:32] Speaker B: It's just really hard to see them like this all the time. They used to be so happy.\n[00:32 - 00:38] Speaker A: I know. But things will get better, I promise. Just try and focus on the good times for now, okay?\n[00:38 - 00:42] Speaker B: Yeah... okay. Thanks, Milani."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--179580.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Adolfo! I'm so glad to see you!\n[00:03 - 00:13] Speaker B: Aurelius! I've missed you so much! It's been too long since we last hung out and I've been wanting to tell you all about my recent trip to the mountains where I discovered this amazing little coffee shop.\n[00:05 - 00:13] Speaker A: I know, right? It's like time just flies by. I've been meaning to call you but things have just been so crazy lately.\n[00:13 - 00:16] Speaker B: What's been going on? Work, family, or something else?\n[00:16 - 00:28] Speaker A: A bit of everything, honestly. Work has been hectic, and on top of that, I've had some personal stuff going on too. But I'm doing alright, considering. Just trying to take things one day at a time.\n[00:28 - 00:33] Speaker B: That's the best way to do it. Hey, do you want to go get coffee or something? Catch up?\n[00:33 - 00:36] Speaker A: Yeah, that sounds great. Let's go."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--775321.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, I'm Daliyah.\n[00:02 - 00:05] Speaker B: Hi, I'm Hezekiah. Nice to meet you.\n[00:05 - 00:09] Speaker A: Yeah, same here. What are you up to today?\n[00:09 - 00:12] Speaker B: Just picking up a few things from the store. You?\n[00:12 - 00:26] Speaker A: Same here. I needed to get some milk before it went bad because I noticed it was getting close to the expiration date and I didn't want to risk drinking spoiled dairy products. I also need to pick up a few other essentials while I'm here.\n[00:16 - 00:22] Speaker B: Oh, speaking of milk, do you know if they have any organic options here? I've been trying to switch to healthier choices.\n[00:23 - 00:31] Speaker A: I think they do, in the refrigerated section. But I was saying, before it went bad, I had to grab some. Anyway, do you live around here?\n[00:31 - 00:33] Speaker B: Yes, I live just a few blocks away from here.\n[00:34 - 00:38] Speaker A: That's cool. I live about fifteen minutes away from here.\n[00:38 - 00:41] Speaker B: Oh, that's not too far then. Do you like it where you live?\n[00:42 - 01:02] Speaker A: Yeah, I do. It's a pretty quiet neighborhood and there are a lot of families with kids around so it feels safe. Plus, my commute to work is pretty short so that's a\n[01:03 - 01:10] Speaker B: Oh, I wish I had a shorter commute! Mine takes nearly an hour each way. How do you manage to find a place so close to work?\n[01:10 - 01:26] Speaker A: I got lucky, honestly. It was one of the first places I checked out, and it just worked out. But yeah, the short commute is definitely a plus. I've been thinking about moving to a quieter neighborhood myself but haven't really found the perfect place yet."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--972977.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: Your Highness, I have wanted to kiss you since the day we first met in the royal gardens under the cherry blossoms, but I was too afraid to act on my feelings because I didn't want to risk losing my position at court.\n[00:03 - 00:08] Speaker B: Kyara, wait—did you just say since the day we met? I thought you didn't like me. You were always so distant.\n[00:09 - 00:18] Speaker A: I was afraid to get close to you, because I knew I would fall in love with you. And now, here we are, kissing each other like there's no tomorrow.\n[00:18 - 00:25] Speaker B: I never thought this would happen between us. But now that it has, I don't want it to end. I want us to be together, no matter what.\n[00:25 - 00:30] Speaker A: Stop? Me neither. I want to spend the rest of my life with you, Your Highness.\n[00:30 - 00:33] Speaker B: And I want to spend the rest of my life with you, Kyara."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--419679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much. How are you doing in school?\n[00:04 - 00:17] Speaker A: I'm struggling. I don't understand my assignments and I get poor grades, which is really frustrating because I put in so much effort but still can't seem to grasp the concepts no matter how many hours I study.\n[00:08 - 00:11] Speaker B: Wait, are you getting enough support from your teachers?\n[00:11 - 00:19] Speaker A: Well, I try to ask questions, but it feels like everyone is judging me because I'm not getting it, and my grades are really suffering.\n[00:20 - 00:23] Speaker B: That sounds very challenging. Have you been speaking to your teacher about this?\n[00:24 - 00:32] Speaker A: Yeah, but it doesn't really help. They just tell me to try harder or study more, but I don't know how when everything is still so confusing.\n[00:33 - 00:38] Speaker B: Let's see if we can figure out a plan together. Do you have a specific subject that is causing you the most trouble?\n[00:39 - 00:42] Speaker A: Yeah, math is really hard for me right now.\n[00:42 - 00:47] Speaker B: Okay, let's start with that then. Do you have any ideas of how we can make math easier for you?\n[00:48 - 01:00] Speaker A: I don't know. It's just so hard. I've been trying to get a tutor, but  they aren't available as often as I need and even when we do meet, the explanations still don't click for me the way I hoped they would.\n[01:00 - 01:04] Speaker B: Have you considered changing your study environment? Sometimes a different setting can help.\n[01:05 - 01:11] Speaker A: I haven't thought about that. Maybe that could help, but I was going to say the tutor hasn't really helped either.\n[01:11 - 01:19] Speaker B: Got it. Well, let's try something else then. What if we set up a meeting with your math teacher and go over things together? Would that be okay with you?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--596068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Anand, stop laughing. I need to finish this problem before the deadline because my professor expects it first thing tomorrow morning and I still have several complex calculations left to complete.\n[00:02 - 00:07] Speaker B: Sorry, but this is hilarious! What's so serious that you can't even laugh for a second?\n[00:07 - 00:13] Speaker A: I'm trying to focus on this math problem. It's really tricky and I need to concentrate.\n[00:13 - 00:17] Speaker B: Oh, right. Let me know if you need any help or if you want to take a break later.\n[00:18 - 00:30] Speaker A: Actually, could you take a look at this part? I'm not sure if I'm setting up the equation  correctly because the variables seem to be interacting in ways that don't match the examples we studied in class."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--397434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:21] Speaker A: I understand how frustrating that can be. We'll see if we can fix it though. Has anything changed on your computer recently that might have caused the slowdown? For example, did you install any new programs or download any large files that could be taking up a lot of space or memory, especially ones that might run background processes or automatically update without your knowledge?\n[00:14 - 00:18] Speaker B: Actually, I did install a couple of new programs. Do you think they could be the cause?\n[00:19 - 00:28] Speaker A: It's possible. Some programs can really slow down your system if they're resource-intensive. But you mentioned you haven't downloaded anything large, right?\n[00:28 - 00:30] Speaker B: Yeah, nothing big.\n[00:30 - 00:36] Speaker A: Alright, let's focus on those new programs then. Do you remember which ones you installed?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--371354.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: Hey, I'm sorry I'm late. I know I'm usually punctual, but traffic was a nightmare this morning and I had to take a detour through several side streets due to a major accident on the highway, which added nearly 30 minutes to my commute.\n[00:06 - 00:09] Speaker B: Rashard, you're late again. This is the third time this month.\n[00:10 - 00:24] Speaker A: I know, and I really apologize. The traffic was just awful, and my alarm didn't go off  because I forgot to charge my phone last night after working late, and by the time I realized it, the battery was completely drained.\n[00:24 - 00:28] Speaker B: You need to be more reliable. This isn't the first time you've been late this month.\n[00:28 - 00:32] Speaker A: I understand, and I'll try to be more punctual from now on.\n[00:32 - 00:36] Speaker B: Alright, Rashard. I hope you can make it to work on time from now on."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--809183.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Hey boss, just wanted to let you know that I delivered the last package of the day and made sure to get a signed confirmation from the recipient as per our standard procedure.\n[00:10 - 00:23] Speaker B: Jerome, thank you so much for your hard work today. You've really saved us with your attentiveness and great attention to detail, especially on such a busy day when we had twice the normal volume of deliveries to handle across multiple locations.\n[00:16 - 00:22] Speaker A: Sorry to jump in, but I just remembered—did we get any feedback from the client about the earlier delivery?\n[00:23 - 00:32] Speaker B: Not yet, but I'll follow up on that. As I was saying, your great driving really made a difference today. We're really lucky to have you on our team. Keep up the good work!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--218746.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, Sarah. I'm looking for a new apartment and I was wondering if you had any recommendations.\n[00:06 - 00:11] Speaker B: Yeah, definitely. Have you been looking around at any places yet?\n[00:11 - 00:16] Speaker A: Not really. I've been kind of avoiding it because I'm feeling really nervous.\n[00:17 - 00:24] Speaker B: Why are you feeling so anxious about it when you haven't even started looking yet? I think you might be overthinking this whole process before giving it a fair chance.\n[00:18 - 00:33] Speaker A: I guess it's just a lot of pressure. I want to make sure I find something that's affordable and in a good location. Plus, I've heard stories about people who have had bad experiences with their landlords or roommates. So, I guess I'm just worried about making the wrong choice.\n[00:34 - 00:48] Speaker B: I get that, but you know, there are plenty of good apartments out there. And as long as you do your research, you should be fine. Besides, even if you do end up in a less than ideal situation, it's not the end of the world. You can always move again if things don't work out as planned.\n[00:48 - 00:57] Speaker A: True, but I'd rather avoid the hassle of moving again if I can help it. Do you have any specific places in mind that you think would be good for me?\n[00:57 - 01:07] Speaker B: Yeah, actually my friend just moved into this really great place downtown that's really affordable and close to everything. Let me give her a call and see if she wouldn't mind giving you the information herself."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--977126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: Mary, I need to talk to you about something. It's been bothering me for a while and I really need to get it off my chest because this weight has been crushing me emotionally and affecting every aspect of my daily life for months now.\n[00:07 - 00:10] Speaker B: Of course, dear. What is it? You know you can tell me anything.\n[00:10 - 00:23] Speaker A: It's just that... I made a mistake. A big mistake. And it's been eating away at me ever since. I'm not sure how to make things right, but I need to figure out a way to fix it before it's too late.\n[00:23 - 00:27] Speaker B: Wait, a mistake? What kind of mistake? Is it something that can be fixed?\n[00:28 - 00:38] Speaker A: I was working on a case and I was so sure that I had the right suspect. But I was wrong. My mistake led to an innocent man being convicted and sentenced to death.\n[00:38 - 00:42] Speaker B: Emerald, you can't blame yourself for that. You did everything you could.\n[00:43 - 00:48] Speaker A: But it wasn't enough. And now the man is going to be executed because of me.\n[00:48 - 00:49] Speaker B: What can we do?\n[00:50 - 00:58] Speaker A: I'm not sure. But I have to try to do something. Even if it's just finding a way to live with this burden for the rest of my life."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--142004.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, what brings you here to this school?\n[00:02 - 00:06] Speaker B: I'm actually from out of state. My family moved here a few months ago.\n[00:06 - 00:16] Speaker A: Oh, that's interesting. Where are you from originally? I was wondering if you've had a chance to explore the area yet and how it compares to your hometown.\n[00:09 - 00:16] Speaker B: Sorry to jump in, but do you know if there are any good places around here that remind you of home? Like maybe a spot with a similar vibe?\n[00:16 - 00:28] Speaker A: Well, I was going to say I'm from Florida, and honestly, I haven't found a place that feels exactly like home yet. But there are a few nice parks around. What about you? Where are you from?\n[00:28 - 00:35] Speaker B: I'm from California. But I've only lived here for a year too. So we're both newbies! Do you like it here so far?\n[00:35 - 00:44] Speaker A: Yeah, I do. It's been really great getting to know all the different people and cultures. What about you? Do you like it here in California?\n[00:45 - 00:51] Speaker B: I love it! It's so different from where I'm from. There are so many things to do and see. And the weather is amazing.\n[00:52 - 01:03] Speaker A: Yeah, I can't complain about the weather here. But I do miss the beach  back in Florida, especially the warm ocean breeze and the sound of waves crashing against the shore at night.\n[01:03 - 01:06] Speaker B: Oh, yeah! I miss the beach too. We should go sometime!\n[01:06 - 01:08] Speaker A: That would be great!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1007774.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: I'm so sick of looking for a new place to live. I've been searching for weeks and I still haven't had any luck finding something that meets all my needs, especially when it comes to having enough space for my home office and being within walking distance of public transportation.\n[00:06 - 00:13] Speaker B: Sorry to interrupt, but have you been focusing more on online searches or visiting places in person? Sometimes that can make a difference.\n[00:13 - 00:21] Speaker A: I've looked online and in person, but most of the places I've seen are either too expensive or too far away from my job.\n[00:21 - 00:25] Speaker B: That's definitely a problem. Have you thought about moving to a different area?\n[00:25 - 00:32] Speaker A: I don't really want to move to a different area. I like where I live now, but I just can't find anything that's suitable for me.\n[00:33 - 00:37] Speaker B: Well, have you considered renting an apartment instead of continuing to look for a house?\n[00:37 - 00:45] Speaker A: Renting an apartment? I hadn't really thought about that, but it might be worth considering. Do you know of any good apartments in the area?\n[00:46 - 00:51] Speaker B: Actually, I do know of a few apartments that might be perfect for you. I'll send you the information and you can take a look.\n[00:52 - 00:53] Speaker A: That would be great, thank you!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--4955.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, how did you like the book?\n[00:02 - 00:05] Speaker B: I loved it! The ending was so shocking, I couldn't believe what happened.\n[00:06 - 00:14] Speaker A: Sorry to interrupt, but I just have to ask—did you see that twist with the protagonist coming? I was totally blindsided.\n[00:15 - 00:18] Speaker B: No, I didn't see it coming at all! It was so unexpected.\n[00:18 - 00:21] Speaker A: Yeah, I know. I couldn't put it down.\n[00:22 - 00:25] Speaker B: Me neither. I'm so glad you wanted to read it.\n[00:25 - 00:36] Speaker A: Yeah, I was curious about the protagonist's journey and how it would evolve, especially after that major setback when they had to completely rethink their entire approach to solving the central conflict.\n[00:29 - 00:37] Speaker B: Oh, speaking of the journey, what did you think about that part where the protagonist had to make that impossible choice? It really stuck with me.\n[00:37 - 00:42] Speaker A: It was definitely a rollercoaster ride. There were so many twists and turns.\n[00:42 - 00:45] Speaker B: I know! I didn't see any of them coming.\n[00:45 - 00:49] Speaker A: That's what made it so great. It kept you guessing the whole time.\n[00:49 - 00:53] Speaker B: Definitely. It was a great book. Thanks for lending it to me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--179972.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Oh my goodness, this painting is absolutely stunning! The colors are so vibrant and the detail is incredible. It's like I can see everything happening in the scene.\n[00:09 - 00:11] Speaker B: Thank you, I'm glad you like it.\n[00:11 - 00:25] Speaker A: How did you come up with such a beautiful landscape? It must have taken so much time and effort to capture all these intricate details and the perfect lighting, especially considering how the colors blend so seamlessly to create this breathtaking atmosphere.\n[00:17 - 00:24] Speaker B: Actually, it did take a lot of time, but I wanted to ask, do you have a favorite part of the painting? Something that stands out to you the most?\n[00:24 - 00:33] Speaker A: Oh, definitely the way the light hits the trees. It gives such a warm and inviting feeling. But you were saying about the effort it took?\n[00:33 - 00:42] Speaker B: Well, I wanted to capture the beauty of nature and the peace that comes with it. I wanted to create a place where people could escape from their busy lives and just relax for a while.\n[00:43 - 00:50] Speaker A: You definitely succeeded! This painting makes me feel happy and calm just looking at it. It's like a little piece of paradise.\n[00:50 - 00:54] Speaker B: That's exactly what I was going for, so I'm glad you appreciate it.\n[00:54 - 01:00] Speaker A: I can't believe how realistic it looks. It's like I could step right into the painting and explore everything.\n[01:01 - 01:03] Speaker B: That's a really great compliment. Thank you.\n[01:03 - 01:13] Speaker A: Do you sell your paintings? I would love to  have a piece like this in my home where I can admire it every day and share its beauty with friends and family who visit.\n[01:14 - 01:20] Speaker B: Absolutely, I do sell them. But before you decide, can I tell you more about the inspiration behind this particular piece?\n[01:21 - 01:24] Speaker A: Yes, please! I'd love to hear more about what inspired you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--419812.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Sarah, I need to tell you something.\n[00:02 - 00:05] Speaker B: What is it? You can tell me anything, you know that.\n[00:05 - 00:16] Speaker A: It's just, this thing I'm going through, I don't think anyone could really understand what it's like because it's such a personal and complex experience that affects every aspect of my life.\n[00:09 - 00:13] Speaker B: Understand? I know it might feel that way, but I'm here to listen, really.\n[00:14 - 00:21] Speaker A: Okay, but you have to swear not to tell anyone else about this. It's really important to me that no one finds out.\n[00:21 - 00:24] Speaker B: Of course, I promise. Now what is it?\n[00:24 - 00:26] Speaker A: I think I'm gay.\n[00:26 - 00:35] Speaker B: What makes you say\n[00:35 - 00:42] Speaker A: I don't know, it's just a feeling I have. And lately, I've been thinking about guys a lot more than girls.\n[00:42 - 00:44] Speaker B: Have you talked to anyone else about this?\n[00:44 - 01:01] Speaker A: No, like I said, I don't think anyone would understand. Besides, it's not like there's anyone I can talk to about it without feeling judged or misunderstood, especially in our conservative community where these topics are still considered taboo by many people.\n[01:00 - 01:03] Speaker B: But you can talk to me about it. I'm here for you, no matter what."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--713730.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm so sorry, officer. I didn't realize I was going that fast.\n[00:04 - 00:16] Speaker B: It's okay, we all make mistakes. But you were speeding quite a bit and we have to issue a citation and ensure the situation is under control while also making sure you understand the seriousness of traffic violations for public safety.\n[00:08 - 00:12] Speaker A: I understand. Can I ask why you had to handcuff me?\n[00:13 - 00:20] Speaker B: It's procedure when we take someone into custody. You're not under arrest, but we need to restrain you so that you don't try to run away or hurt yourself.\n[00:21 - 00:25] Speaker A: Okay, that makes sense. Am I going to be taken to the station?\n[00:25 - 00:27] Speaker B: Yes, we'll need to process your paperwork there.\n[00:28 - 00:30] Speaker A: Will I be able to make a phone call?\n[00:30 - 00:33] Speaker B: Yes, you'll be able to make a phone call from the station."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--978945.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Wow, look at this rock! It's shaped like a heart. I've never seen anything like it before in my life, especially not with such perfect symmetry and natural beauty that makes it look almost hand-carved by nature itself.\n[00:05 - 00:07] Speaker B: That's so cool! Where did you find it?\n[00:07 - 00:15] Speaker A: Just over there, by that tree. Can you believe how lucky I am to have found something like this? It feels like a sign or something.\n[00:15 - 00:18] Speaker B: Sorry, but do you think there might be more rocks like that around here?\n[00:19 - 00:31] Speaker A: I don't know. I haven't seen any, but maybe if we look a little longer, we'll find some  other unique formations that could be just as fascinating and meaningful as this heart-shaped one we've discovered today.\n[00:31 - 00:32] Speaker B: Alright, let's look!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--334902.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Romel, I'm so glad you're feeling better.\n[00:03 - 00:13] Speaker B: Yes, thank you. Your herbal remedy did the trick and I started feeling the effects almost immediately, which was such a relief after suffering through those terrible symptoms for nearly a week straight.\n[00:05 - 00:13] Speaker A: Sorry to interrupt, but I'm really curious—what made you decide to come and find me in the first place? We hardly knew each other.\n[00:14 - 00:27] Speaker B: Well, I'd heard that you were a skilled healer and I was desperate for help. Plus, I knew that you owed me a favor after I helped you out with that situation with your  brother last year when he was struggling to find work and I connected him with that job opportunity at the docks.\n[00:28 - 00:30] Speaker A: So it was just convenience then?\n[00:30 - 00:37] Speaker B: No, not at all. I really do appreciate everything you've done for me, and I also wanted to trust someone who I knew had a good heart."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--158293.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Thank you so much for helping me find the perfect car. I really appreciate it.\n[00:04 - 00:09] Speaker B: You're welcome, Kartier. It was our pleasure to help you find the perfect car for your needs.\n[00:10 - 00:13] Speaker A: This car is exactly what I wanted. It's perfect.\n[00:13 - 00:15] Speaker B: We're glad you're happy with it.\n[00:15 - 00:18] Speaker A: How much did you say the monthly payments are again?\n[00:19 - 00:22] Speaker B: The monthly payments are $369.00.\n[00:22 - 00:34] Speaker A: That's a lot of money. Is there any way to reduce the monthly payments or find a more affordable option by extending the loan term or perhaps putting down a larger down payment initially?\n[00:25 - 00:30] Speaker B: Actually, have you considered looking into our financing options? Sometimes they can offer more flexible terms.\n[00:31 - 00:37] Speaker A: Financing options could be helpful, but I was asking if there's any way to lower the payments directly.\n[00:38 - 00:41] Speaker B: I'm sorry, Kartier, but the payments are non-negotiable."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--803822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Thanks so much for your help, detective. I really appreciate it.\n[00:03 - 00:07] Speaker B: You're welcome. I'm just glad I could be of assistance.\n[00:07 - 00:22] Speaker A: I still can't believe that my husband was capable of something like this. It's just so hard to process everything and come to terms with the reality of the situation, especially when you've built a life together based on trust and mutual understanding for so many years.\n[00:12 - 00:18] Speaker B: I understand how shocking this must be. Have you thought about seeking support from a counselor or a support group?\n[00:18 - 00:32] Speaker A: I haven't considered that yet. I know it's difficult, but sometimes the people we love are capable of doing terrible things. Try to take comfort in the fact that you now know the truth and can move on with your life.\n[00:32 - 00:36] Speaker B: I suppose you're right. It's just going to take some time to get used to.\n[00:37 - 00:44] Speaker A: That's understandable. If you need anything, don't hesitate to reach out to me. I'm here to help in any way I can.\n[00:45 - 00:49] Speaker B: Oh, before I forget, do you have any recommendations for good counselors in the area?\n[00:50 - 00:55] Speaker A: Yes, I can provide you with some contacts. Don't hesitate to give me a call.\n[00:55 - 00:56] Speaker B: I will, thank you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115967.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey Kellee, what's up?\n[00:01 - 00:04] Speaker B: Not much, just hanging out. What about you?\n[00:04 - 00:14] Speaker A: Same here. I'm just chilling and thinking about how we could make this conversation more engaging by sharing some interesting stories or experiences we've had recently.\n[00:08 - 00:12] Speaker B: So what do you think of my jokes? Do you find them entertaining, or do you think they need some work?\n[00:12 - 00:19] Speaker A: Sorry to jump in, but I was wondering if you were joking just to lighten the mood or if you really thought they were funny?\n[00:20 - 00:25] Speaker B: Well, I was just trying to be friendly and make you laugh. I'm sorry if you didn't find my jokes funny.\n[00:26 - 00:30] Speaker A: It's okay, I'm sorry for ignoring you and treating you like a clown.\n[00:30 - 00:32] Speaker B: It's all good. I understand."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--575640.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:18] Speaker A: I've been applying to a lot of jobs, but I'm not getting hired. I'm told my experience isn't good enough to meet the requirements of most positions I'm interested in, particularly in competitive fields where employers expect candidates to have specialized skills and extensive professional backgrounds.\n[00:06 - 00:10] Speaker B: It sounds like you're considering going back to school to get a degree. Is that right?\n[00:11 - 00:21] Speaker A: Yes, I was thinking about it. But I'm not sure if it's worth it. I don't want to spend a lot of money on tuition and then still not be able to get a job afterward.\n[00:21 - 00:37] Speaker B: Getting a degree can definitely help improve your chances of getting hired, especially if you're aiming for jobs that require one. But it's important to consider the cost-benefit analysis before making any decisions. How much would tuition be? And how long would it take you to complete the degree?\n[00:37 - 00:47] Speaker A: Tuition would be about $30,000 per year. And it would take me four years to finish the program, which means I'd be investing a lot of time and money.\n[00:48 - 00:55] Speaker B: Wow, that's a significant investment. But have you looked into any scholarships or financial aid options that might help reduce the cost?\n[00:55 - 01:10] Speaker A: Not yet, but that's a good point. I should definitely explore those options"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1052554.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:20] Speaker A: John, can you believe it? I've composed a symphony that's been received so well! It feels like my name is becoming known all over the world, and I'm really excited about the opportunities this could bring, especially the chance to collaborate with other talented musicians and potentially perform at prestigious international venues.\n[00:08 - 00:14] Speaker B: That's incredible, Mica! But I have to ask, how are you managing all the sudden attention? It must be overwhelming.\n[00:15 - 00:34] Speaker A: It is a bit overwhelming, but I'm just grateful that people are enjoying my music. Composing has always been my passion, so it's great to be able to share that with others on such a large scale. I'm actually getting a lot of invitations lately to perform in different cities, and it's been hard to decide which ones to accept.\n[00:34 - 00:40] Speaker B: Invitations? That's amazing! Are you considering any of them seriously, or are you still weighing your options?\n[00:41 - 00:54] Speaker A: I'm definitely considering them. I'm thinking about doing more of that in the future. But whatever happens, I just want to keep making music that makes people happy and brings them joy. That's all that really matters to me in the end."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1117467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Wow, I had no idea this ring was so valuable!\n[00:04 - 00:13] Speaker B: Yes, it's made of gold and has a diamond on the band, which is why it's so special. The diamond is actually a rare pink diamond that was mined in South Africa over a century ago.\n[00:06 - 00:12] Speaker A: Wait, a diamond? I thought it was just a simple gold ring. Why did you never tell me how much it was worth?\n[00:12 - 00:26] Speaker B: I didn't want you to feel pressured to take care of it. It's been in our family for generations and I wanted you to  have the freedom to enjoy it without worrying too much about its value. The sentimental worth is far more important than any monetary value it might hold.\n[00:26 - 00:30] Speaker A: I understand, but now I feel like I need to be extra careful with it!\n[00:31 - 00:33] Speaker B: Don't worry, just enjoy wearing it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--245101.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Tiffani, I have been thinking long and hard about this, and I think it's time.\n[00:05 - 00:06] Speaker B: What's time?\n[00:06 - 00:08] Speaker A: It's time for us to get married.\n[00:08 - 00:09] Speaker B: You want to get married?\n[00:10 - 00:14] Speaker A: Yes, Tiffani. I love you and I want to spend the rest of my life with you.\n[00:14 - 00:26] Speaker B: But what about our careers? We've only been working at our current jobs for a short time, and we have so many professional goals we want to achieve before settling down, like completing our master's degrees and getting those promotions we've been working towards.\n[00:17 - 00:24] Speaker A: I know it seems sudden, but when you know, you know. And I know that I want to spend the rest of my life with you.\n[00:25 - 00:26] Speaker B: Are you sure about this?\n[00:26 - 00:31] Speaker A: Yes, absolutely positive. So what do you say? Will you marry me?\n[00:32 - 00:36] Speaker B: Wow! This is unexpected but yes, Enrico I will marry you!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--385591.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: I'm so sorry I'm late, I got sidetracked and ended up playing with my cat for way longer than I realized. Time just flew by before I knew it because she was being extra playful today with her new feather toy and I completely lost track of everything else.\n[00:06 - 00:11] Speaker B: No worries at all, but what made you finally remember that you were supposed to be going to the store?\n[00:11 - 00:27] Speaker A: Well, I ran out of food for my cat and realized that I needed to go buy some more. But by that time, I had no idea where the store was located since I hadn't been there in a while and the neighborhood has changed quite a bit with all the new construction projects going on recently.\n[00:29 - 00:35] Speaker B: Wait, you didn't know where the store was? That must have been so stressful! How did you eventually find your way back home?\n[00:35 - 00:44] Speaker A: Well, luckily I remembered where our street was, so I just kept walking in that direction until I finally found it. But it took me hours!\n[00:45 - 00:52] Speaker B: Yeah, getting lost like that can be really tough. Next time make sure you bring your phone with you so you can call for help if you need it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--7207.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I'm just so tired, Sarah. I feel like I do everything around here and never get anything done for myself.\n[00:07 - 00:27] Speaker B: You're a perfectionist, Jazleen. You always put 110% into whatever you do and never seem to finish anything for yourself. Maybe you need to learn to relax a little bit and not try to do everything perfectly all the time because constantly striving for perfection can actually be counterproductive and lead to more stress in the long run. It's okay to let things be imperfect sometimes.\n[00:20 - 00:32] Speaker A: But if I don't do things perfectly, then something bad will happen. Like if I don't fold the laundry perfectly, then it won't get clean or something. I know it's not logical, but that's just how I feel sometimes.\n[00:33 - 00:50] Speaker B: Maybe you're just putting too much pressure on yourself. Have you tried taking a break from some of your responsibilities and doing something for yourself? Just for fun? Maybe that would help you  unwind and see things from a different perspective, like going for a relaxing walk in nature or trying out a new hobby that doesn't require perfection.\n[00:50 - 00:59] Speaker A: I feel like if I take a break from my responsibilities, then I'll just get behind and never catch up. But what exactly do you mean by doing something for fun?\n[01:00 - 01:10] Speaker B: Well, you can't keep going at the pace you're going now. You're going to burn yourself out if you don't take a break soon. Just try it for a little while and see how it goes. Who knows, you might actually enjoy it!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--497264.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I don't want to grow up, Mom. I want to stay a child forever.\n[00:04 - 00:09] Speaker B: Jermiah, you have to grow up sooner or later. It's just a part of life, and everyone goes through it.\n[00:10 - 00:15] Speaker A: But I don't want to! I like being a kid. Why can't I just stay a kid forever?\n[00:15 - 00:28] Speaker B: Because eventually you'll have to face responsibilities and the real world. You can't stay in childhood forever, even though it might seem easier, because life is constantly moving forward and bringing new experiences that shape who we become.\n[00:21 - 00:27] Speaker A: But why not? What if I don't want to face those responsibilities? Can't I just avoid them somehow?\n[00:28 - 00:36] Speaker B: I know it seems tempting to avoid them, but responsibilities are a part of life. And even though growing up can be scary, it also comes with new freedoms and opportunities.\n[00:37 - 00:42] Speaker A: *sigh* I guess you're right, Mom. It's just hard to let go of childhood sometimes."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--197137.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey dad, I was just thinking about the challenge you gave me.\n[00:03 - 00:05] Speaker B: What challenge is that, son?\n[00:05 - 00:18] Speaker A: You know, the one where you said I had to try and become the best soccer player in the world by dedicating myself to daily training, studying game strategies, and constantly pushing beyond my current limits.\n[00:10 - 00:16] Speaker B: Oh yeah, that challenge. How are you feeling about taking it on? Do you think you're ready for the commitment it requires?\n[00:17 - 00:24] Speaker A: Sorry to cut in, Dad, but I've been thinking—do you think I should focus more on my technique or my physical fitness first?\n[00:25 - 00:35] Speaker B: That's a good question. Both are important, but I'd say start with your technique. Once you have that down, you can build up your physical fitness to match. But I was going to ask how you're feeling about the challenge overall?\n[00:36 - 00:43] Speaker A: I'm excited to take it on. I know it won't be easy, but I'm ready to face the challenge head-on and give it my all.\n[00:43 - 00:52] Speaker B: That's great to hear, son. I have faith in you that you can accomplish anything you set your mind to. Just remember to never give up and always give 100% effort.\n[00:52 - 00:55] Speaker A: I will, dad. Thanks for believing in me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--12047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Why do you think people litter? It's so annoying.\n[00:03 - 00:11] Speaker B: I don't know. Maybe they're just lazy or they don't care about the environment and think someone else will clean up after them, which shows a complete lack of respect for public spaces.\n[00:05 - 00:16] Speaker A: Lazy? That's the worst excuse ever. If they're too lazy to pick up their trash, then they should just pay a fine or something. It's not fair to the rest of us who have to look at their messes.\n[00:17 - 00:20] Speaker B: I guess you're right. It is kind of inconsiderate.\n[00:20 - 00:34] Speaker A: It's not just inconsiderate, it's illegal. I've called the police on people before for throwing trash out of their car windows while driving through the neighborhood, especially when children are playing nearby and could get hurt by the debris.\n[00:32 - 00:36] Speaker B: Wait, you've actually called the police on someone for littering? What happened?\n[00:36 - 00:50] Speaker A: Yeah, I did. They were fined, and it made me feel like I was doing something to help keep the area clean. But more importantly, if more people knew it was against the law, maybe they would think twice before they threw their trash on the ground."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1130331.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Sarah! How are you?\n[00:02 - 00:05] Speaker B: I'm good, thanks. How are you? You look really nice today.\n[00:05 - 00:28] Speaker A: Thank you! I just got my hair done this morning and I'm wearing my new favorite dress. I love feeling fashionable and put-together. It's one of the reasons why I love going to the salon every week - to make sure that I always look fresh and confident, especially since it boosts my mood for the entire week and helps me maintain a positive outlook on life no matter what challenges come my way.\n[00:19 - 00:27] Speaker B: Sorry to jump in, but do you think going to the salon that often is really necessary? I mean, you always look great, even when you're not freshly styled.\n[00:27 - 00:38] Speaker A: Thanks, that's sweet of you to say! I guess it's more about how it makes me feel. You know, like they say, when you look good, you feel good. It's all connected.\n[00:38 - 00:41] Speaker B: That's true. So, what are your plans for the rest of the day?\n[00:41 - 00:50] Speaker A: Well, I was thinking of doing some shopping and then maybe getting my nails done. What about grabbing a coffee afterward? It could be a nice way to relax.\n[00:50 - 00:57] Speaker B: Shopping sounds great! I might join you for that, but I'll have to pass on the nails - I'm not really into that kind of thing.\n[00:58 - 01:01] Speaker A: That's okay! We can still have a great time together."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1076109.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: You see that big rock over there, Slade?\n[00:02 - 00:12] Speaker B: Yeah, I see it. What about the rock? Do you want to take a break or something? I noticed it's got a nice flat surface that would be perfect for sitting and enjoying the view.\n[00:04 - 00:09] Speaker A: I was thinking that maybe we could sit on it and have a little chat. What do you think?\n[00:09 - 00:12] Speaker B: That sounds like a great idea! Let's go sit on the rock!\n[00:13 - 00:31] Speaker A: Alright, let's go. As they walk over to the rock, Kendrell continues talking. So, what do you think of this place? Isn't it just  perfect for unwinding and getting away from everything? The fresh air, the quiet surroundings, and the beautiful scenery all combine to create such a serene atmosphere.\n[00:31 - 00:38] Speaker B: It's so peaceful here. And you know, I was just thinking, this would be a perfect spot for a camping trip. Have you ever been camping before?\n[00:38 - 00:52] Speaker A: Yeah, I love coming out here. It's a great way to clear your head and just relax for a bit. Plus, the views are amazing. But no, I haven't been camping before. Maybe we can go camping together sometime soon then. That would be fun!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--413405.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, Abbigayle. I'm looking for a new roommate and I think you would be a great fit.\n[00:05 - 00:11] Speaker B: Thank you, Shanti. I appreciate your offer and I would love to discuss this further. I've been looking for a new place as well.\n[00:12 - 00:22] Speaker A: Sorry to jump in, but before we go further, I just wanted to ask—what's your current living situation? Are you looking to move in immediately, or do you need some time?\n[00:22 - 00:29] Speaker B: Oh, good question! I'm currently living with a friend, but she's moving out in a couple of weeks, so I'd be ready to move in pretty soon after that.\n[00:30 - 00:37] Speaker A: Awesome! I think we'll get along great. Let me know if you have any questions about the apartment or anything else.\n[00:37 - 00:40] Speaker B: Thanks, Shanti. I'll definitely let you know if I have any questions.\n[00:41 - 00:44] Speaker A: So, Abbigayle, tell me a little about yourself.\n[00:44 - 01:00] Speaker B: Well, I'm originally from Spain. I moved to the United States about five years ago. I'm an artist and I love painting and experimenting with different mediums like acrylics, watercolors, and even digital art, which allows me to blend traditional techniques with modern technology.\n[00:51 - 01:01] Speaker A: Sculpting, right? That's amazing! I actually have some empty wall space in the apartment that could really use some art. Would you be interested in displaying some of your work?\n[01:02 - 01:07] Speaker B: I'd love to! That sounds like a great idea. I could bring over a few pieces for you to check out.\n[01:07 - 01:10] Speaker A: That would be perfect. I can't wait to see them!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--421778.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey boss, do you have a minute?\n[00:02 - 00:03] Speaker B: Yeah, what's up?\n[00:03 - 00:22] Speaker A: I just wanted to talk to you about how I can improve my work. I'm always looking for ways to make my work better and more efficient. Do you have any suggestions or feedback that could help me focus on the right areas, particularly when it comes to prioritizing tasks and collaborating more effectively with the team?\n[00:12 - 00:20] Speaker B: Before you finish, I noticed that sometimes your work can be a bit scattered. If you could get it more organized, it would be easier for everyone to understand and follow.\n[00:21 - 00:33] Speaker A: Oh, I see what you mean. I'll definitely try to be more organized from now on. But I was also going to ask if you had any specific suggestions on tools or methods to help with that.\n[00:33 - 00:38] Speaker B: Sure, we can look into some project management tools that could help you streamline your tasks."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1080121.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey Chris. I saw what you did to my locker. That was really messed up.\n[00:04 - 00:15] Speaker B: Oh, come on Keon. It was just a little prank. No need to get so worked up about it. I didn't think it would upset you this much and I certainly didn't expect it to escalate into such a big deal between us.\n[00:09 - 00:15] Speaker A: A little prank? You totally ruined my stuff! I had to buy all new clothes because of you!\n[00:15 - 00:21] Speaker B: Keon, I'm sorry. I really am. I didn't mean to cause you any trouble. I thought it would just be a harmless joke.\n[00:22 - 00:26] Speaker A: Yeah, well you did. And now I'm going to make sure you pay for it.\n[00:27 - 00:28] Speaker B: What are you talking about?\n[00:28 - 00:34] Speaker A: You're going to be a laughing-stock in front of everyone. Just like how you made me feel when you ruined my locker.\n[00:35 - 00:37] Speaker B: Keon, please don't do this.\n[00:37 - 00:41] Speaker A: It's too late. You should have thought about that before you messed with me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--778704.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: \"I don't care if you don't like them. I like them because they're different and they have a unique style that stands out from mainstream fashion while still maintaining a sense of elegance and sophistication.\"\n[00:04 - 00:05] Speaker B: \"But they look so weird.\"\n[00:06 - 00:13] Speaker A: \"So what? I'm not looking for your approval, I'm just telling you that I appreciate their distinctiveness.\"\n[00:13 - 00:17] Speaker B: \"Wait, before you go on, can you explain what exactly you find unique about them?\"\n[00:17 - 00:27] Speaker A: \"Sure, I think their design and color scheme are unlike anything I've seen before. But anyway, I'm not looking for your approval, I'm just telling you why I like them.\"\n[00:28 - 00:30] Speaker B: \"Fine, whatever. I still think they look weird.\"\n[00:30 - 00:33] Speaker A: \"Whatever, I don't care what you think.\""}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--171463.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Sarah. How are you doing?\n[00:02 - 00:04] Speaker B: I'm doing well, thank you. How about you?\n[00:05 - 00:22] Speaker A: You know, I'm feeling really good these days. I'm just grateful for everything I have and how far I've come. It feels like things are finally falling into place for me, like all the hard work is starting to pay off and I'm seeing positive results in both my personal and professional life.\n[00:15 - 00:21] Speaker B: That's wonderful to hear. Can I ask, was there a specific moment or event that made you realize things were starting to align?\n[00:21 - 00:35] Speaker A: It wasn't really one specific moment, but more of a gradual realization. I just woke up one day and knew I needed to make some changes. And once I started doing that, everything else followed suit. It's been really nice.\n[00:36 - 00:43] Speaker B: That makes sense. So, do you feel like you're content now? Or is there still more that you want to achieve, or are you just taking things as they come?\n[00:43 - 00:52] Speaker A: Actually, I think I'm finally content. I'm just focused on enjoying the journey, and whatever comes next will happen when it's supposed to.\n[00:52 - 00:55] Speaker B: That sounds amazing. I'm really happy for you!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--826028.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, Mom. I'm so glad you're here.\n[00:03 - 00:05] Speaker B: Of course I am, darling. Where else would I be?\n[00:05 - 00:13] Speaker A: I don't know, I just feel relieved and happy to have you in my life. It feels like a weight has been lifted off my shoulders.\n[00:14 - 00:23] Speaker B: Well, that's because it has been lifted off slowly ever since you started talking about your feelings and opening up about everything that's been weighing on your heart for all these years.\n[00:15 - 00:17] Speaker A: What do you mean?\n[00:17 - 00:24] Speaker B: You've been carrying around a lot of guilt and pain for not being able to save me from cancer, but it wasn't your fault. You were just a child.\n[00:24 - 00:27] Speaker A: I know that, but it doesn't make it any easier.\n[00:28 - 00:35] Speaker B: I know, sweetheart. But try to remember that I'm here now and I'm not going anywhere. I'll always be with you in spirit, even if you can't see me.\n[00:35 - 00:39] Speaker A: I just want to make sure I don't lose you again, Mom.\n[00:39 - 00:41] Speaker B: You won't, darling. I'm always with you, no matter what.\n[00:42 - 00:44] Speaker A: Ok, Mom. I'll try."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--986089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, what did you think of the concert?\n[00:02 - 00:09] Speaker B: It was amazing! I loved every minute of it. Taylor Swift is such an incredible performer. She always puts on a great show.\n[00:09 - 00:24] Speaker A: I know, right? She's just so talented and down to earth. I love how she interacts with her fans during her performances and makes everyone feel special by remembering small details about them and creating personalized moments that last a lifetime.\n[00:15 - 00:23] Speaker B: Sorry to jump in, but did you notice how she changed the setlist compared to her last tour? It was such a pleasant surprise.\n[00:23 - 00:32] Speaker A: Yes, I did! It kept things fresh and exciting. Speaking of interactions, she's really sweet. I met her once and she was so nice.\n[00:33 - 00:36] Speaker B: Oh, my gosh! You met her? That's amazing! What was she like?\n[00:37 - 00:45] Speaker A: She was really cool. We talked for a while and she signed my autograph. It was one of the best moments of my life; she was so down to earth.\n[00:46 - 00:50] Speaker B: Wait, you actually talked to her? What did you talk about?\n[00:50 - 00:56] Speaker A: We talked about her music and how much her songs mean to me. She was so genuine and it was awesome.\n[00:57 - 00:59] Speaker B: That sounds incredible! I'm so jealous."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--514047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:22] Speaker A: Excuse me, ma'am. I was wondering if you could help me. I'm looking for a job, and I found a lead at a company called XYZ Corporation. I wanted to look it up in the business section, but I'm not sure where to start searching for detailed information about the company's financial performance, employee reviews, and recent news articles that might give me an edge in the application process.\n[00:12 - 00:17] Speaker B: Oh, no problem at all! Just tell me the name of the company, and I'll help you find it.\n[00:17 - 00:19] Speaker A: XYZ Corporation.\n[00:19 - 00:39] Speaker B: Okay, let's see...here it is. XYZ Corporation is expanding and they're looking for new employees. It looks like they're based in New York  and have multiple offices across the state, which might give you some options depending on where you want to work. They specialize in financial services and have been growing steadily over the past five years according to these business reports.\n[00:39 - 00:46] Speaker A: New York City? That's where I'm from! Do you have any information on how to apply for a job there?\n[00:46 - 00:56] Speaker B: Yes, we do. There's an application form right here, and it includes instructions on how to apply. There are also contact numbers for the human resources department if you have any questions.\n[00:57 - 01:00] Speaker A: Thank you so much! This is exactly what I needed."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--219689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, I'm home.\n[00:02 - 00:03] Speaker B: Hey, how was your day?\n[00:04 - 00:06] Speaker A: It was good. How was yours?\n[00:07 - 00:08] Speaker B: It was good. I made dinner.\n[00:09 - 00:10] Speaker A: What did you make?\n[00:10 - 00:19] Speaker B: Roast beef and mashed potatoes with gravy that I slow-cooked for hours to get the perfect consistency and flavor. I also made some steamed vegetables on the side.\n[00:12 - 00:17] Speaker A: Oh, that sounds amazing! Did you use the recipe from last time or try something new?\n[00:17 - 00:21] Speaker B: I actually tried a new recipe this time. I hope you'll like it.\n[00:21 - 00:24] Speaker A: I'm sure I will. I'm starving.\n[00:24 - 00:26] Speaker B: Well, come on in and eat then.\n[00:26 - 00:30] Speaker A: I will in a minute. I just want to sit here for a minute and relax.\n[00:31 - 00:32] Speaker B: Okay, I'll keep your food warm.\n[00:33 - 00:35] Speaker A: Thanks. So, how was your day?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1010589.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: I can't believe you would say something like that to me! I'm so angry right now, I feel like punching a wall or something because this frustration has been building up for weeks and I just can't hold it in anymore. I need to calm down before I do something I regret.\n[00:05 - 00:09] Speaker B: Wait, what happened? What did I say that made you feel this way?\n[00:09 - 00:26] Speaker A: You said that I wasn't meeting your expectations and that you were disappointed in my work. That really hurt my feelings because I've been putting in extra hours every day and sacrificing my personal time just to meet deadlines, and it made me feel like all my efforts were completely unappreciated.\n[00:26 - 00:32] Speaker B: Hold on, I didn't realize it came across that way. I was trying to give you some constructive feedback, not to hurt you.\n[00:32 - 00:37] Speaker A: Well, it didn't feel constructive. It felt like you were trying to make me feel bad about myself.\n[00:38 - 00:45] Speaker B: I'm really sorry, that wasn't my intention at all. Can we talk about this more? I really want to understand how I can communicate better."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1001007.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm done. I can't do this anymore.\n[00:03 - 00:04] Speaker B: What are you talking about?\n[00:04 - 00:16] Speaker A: My job. I hate it. I'm completely burned out and I can't find any motivation to continue working in this toxic environment that drains all my energy and creativity every single day.\n[00:06 - 00:10] Speaker B: Wait, are you serious? Quitting just like that? Have you thought this through?\n[00:11 - 00:15] Speaker A: Yes, I have. I can't keep doing this. It's soul-sucking.\n[00:15 - 00:23] Speaker B: So what are you going to do? Just give up and not work? That's not going to solve the underlying issue. You need a plan before making such a big decision.\n[00:23 - 00:27] Speaker A: I don't know! But I can't keep doing this. It's not worth it.\n[00:28 - 00:34] Speaker B: Lucy, you're being ridiculous. This is your life, you can't just throw it away because you're unhappy with your job!\n[00:34 - 00:38] Speaker A: I'm not happy with anything! My life sucks!\n[00:38 - 00:41] Speaker B: That's not true and you know it. You're just being dramatic.\n[00:41 - 00:46] Speaker A: No, I'm not. I'm miserable. And I'm done with this job."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--193134.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: How dare you! I can't believe you would say something like that to me.\n[00:04 - 00:10] Speaker B: Usher, calm down. There's no need to raise your voice. We can discuss this without getting so heated.\n[00:10 - 00:19] Speaker A: No need? Oh, there's every need! You have no idea how hard I've worked or what I've been through. And you just come in here and judge me?\n[00:19 - 00:33] Speaker B: Usher, please understand, I'm just trying to help you. Your behavior lately has been causing problems and we're just trying to find a way to make things easier for everyone, including you, by creating a more supportive environment where we can all communicate openly and respectfully.\n[00:26 - 00:33] Speaker A: Problems? You think I'm the problem? Well, screw you and your help! I don't need it. Just leave me alone!\n[00:33 - 00:39] Speaker B: Usher, that's not going to solve anything. Let's talk about this calmly and try to figure out a solution together."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--121129.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, Tal. I'm Luz.\n[00:02 - 00:04] Speaker B: Hey there, Luz. It's nice to meet you.\n[00:05 - 00:15] Speaker A: I know, right? I'm excited to meet you too. You look really stylish today with that perfectly tailored jacket and those shoes that complement your whole outfit so well.\n[00:08 - 00:12] Speaker B: Sorry to interrupt, Luz. I just wanted to ask, how did you hear about this event?\n[00:13 - 00:17] Speaker A: Oh, a friend told me about it. But as I was saying, you look great.\n[00:18 - 00:19] Speaker B: Thanks! So do you.\n[00:19 - 00:21] Speaker A: Your voice is really nice too.\n[00:22 - 00:25] Speaker B: Aw, thank you, Luz. You have a pretty voice yourself.\n[00:25 - 00:34] Speaker A: And you smell amazing! What cologne are you  wearing? It has such a nice scent that reminds me of ocean breezes mixed with subtle woody undertones.\n[00:35 - 00:39] Speaker B: Oh, I just have to say, you have a great sense of smell! It's called Cool Water by Davidoff.\n[00:40 - 00:44] Speaker A: I love it! It's so refreshing and masculine at the same time.\n[00:44 - 00:46] Speaker B: Thanks, I'm glad you like it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--532510.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Wow, that was amazing! I've never kissed someone like that before.\n[00:04 - 00:13] Speaker B: I know, me neither. It just felt so natural and like everything just clicked between us in a way that I've never experienced with anyone else before, like we were meant to find each other.\n[00:07 - 00:12] Speaker A: Sorry, I just have to say, do you think this means something more for us?\n[00:12 - 00:16] Speaker B: I think it does. I feel like we really connected on some level.\n[00:16 - 00:18] Speaker A: Yeah, I feel it too.\n[00:18 - 00:19] Speaker B: So, what do you want to do next?\n[00:20 - 00:26] Speaker A: I don't know, what do you think we should do? Maybe we should take a walk and talk about this.\n[00:26 - 00:31] Speaker B: Actually, I was thinking, maybe we should talk about what this means for our relationship before we decide.\n[00:32 - 00:35] Speaker A: I guess we could just keep kissing or we could go somewhere more private.\n[00:36 - 00:37] Speaker B: Let's go somewhere more private."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--556475.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I can't stop thinking about our child. I feel so guilty.\n[00:03 - 00:13] Speaker B: Why are you feeling guilty? You did what you had to do in that situation and made the best possible decision given the extremely difficult circumstances we were facing at that moment.\n[00:06 - 00:13] Speaker A: I know, but I can't help it. I keep wondering if our child is safe, and if he or she is hungry or scared.\n[00:14 - 00:29] Speaker B: Justice, you need to try and stop thinking about it. Our child is probably fine. And even if he or she isn't, there's nothing we can change by worrying now because the situation is completely out of our hands and we need to focus on healing ourselves and moving forward with our lives.\n[00:29 - 00:40] Speaker A: But how can I just move on without knowing? I mean, what if there's something we missed, some way we could still help? What if this guilt is a sign that we should be doing more?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--894939.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: The heat is really getting to me. I feel so exhausted and drained, like I can't muster the energy to do anything.\n[00:07 - 00:14] Speaker B: Sad? I know, the sun is beating down mercilessly and the air is thick and oppressive. It's hard to be happy when it feels like this.\n[00:15 - 00:27] Speaker A: Yeah, I just feel so down. Everything seems pointless in this sweltering heat, and it's hard to stay motivated or even think clearly about simple daily tasks that normally wouldn't bother me at all.\n[00:19 - 00:25] Speaker B: Weather, right? But you know, sometimes a change of scenery or even a cold drink can make a world of difference. Have you tried that?\n[00:26 - 00:30] Speaker A: I guess you're right. Thanks for talking to me, Sarah.\n[00:30 - 00:32] Speaker B: Of course, Kamaya. I love you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--165189.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I can't believe people would be so irresponsible!\n[00:03 - 00:04] Speaker B: What are you talking about?\n[00:04 - 00:17] Speaker A: I just saw someone doing drugs at the party. It made me so angry that I wanted to leave immediately and confront them about how their actions could potentially harm others and create a dangerous environment for everyone present.\n[00:09 - 00:14] Speaker B: Sorry to interrupt, but did you report it to anyone? It's important that the organizers know about this.\n[00:15 - 00:26] Speaker A: No, I was too upset to think about that. But yeah, that is pretty irresponsible. But not everyone does drugs, you know. There are plenty of people who don't and who have a great time without them.\n[00:26 - 00:40] Speaker B: I know, but it still bothers me. It's like they're ruining the fun for everyone else by doing something so stupid and  putting themselves and others at risk of serious legal consequences and long-term health problems that could affect their entire future.\n[00:40 - 00:53] Speaker A: Dangerous, yes, I understand. But try not to let it ruin your night. Just remember that not everyone is the same and that there are lots of people who don't do drugs and who have a great time without them."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--770919.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Hey, happy birthday! It's been a while since I've had a chance to catch up with you and I was really looking forward to hearing about all the exciting things happening in your life.\n[00:04 - 00:08] Speaker B: Hey, thanks for coming! Yeah, it's been a few years. How have you been?\n[00:09 - 00:18] Speaker A: I've been good. Just working and living the normal life, nothing too exciting. What about you? How have you been since I last saw you?\n[00:18 - 00:28] Speaker B: I've been good too. Just graduated college and started my first real job. It's a lot of work, but  I'm really learning a lot and growing professionally while also making valuable connections in my industry.\n[00:29 - 00:33] Speaker A: Oh wow, congrats on the new job! What kind of work are you doing?\n[00:34 - 00:41] Speaker B: Thanks! I'm working in marketing for a tech company. It's been challenging but rewarding. I was about to say, it's a lot of work, but I'm enjoying it.\n[00:41 - 00:48] Speaker A: That sounds great! Congratulations on graduating college and getting a job. That's a big accomplishment these days.\n[00:48 - 00:54] Speaker B: Thanks, I worked hard for it and I'm glad it's paying off. So what have you been up to lately? Anything new and exciting?\n[00:54 - 01:00] Speaker A: Not too much, just the usual. I did just get a new car though, so that's been exciting.\n[01:01 - 01:03] Speaker B: That's great! What kind of car did you get?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1076439.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, Sarah! How are you doing today?\n[00:03 - 00:04] Speaker B: I'm doing well, thank you. How are you?\n[00:05 - 00:18] Speaker A: I'm good. I was just helping my mom set up for the feast tonight. Have you been to one of these community gatherings before? It's always a lively event with music, dancing, and plenty of delicious homemade dishes to enjoy.\n[00:11 - 00:17] Speaker B: Sorry, just curious—what kind of food do people usually bring? I might want to bring something special if I come.\n[00:18 - 00:26] Speaker A: Oh, people bring all sorts of dishes! From traditional family recipes to simple snacks. But I was going to ask if you've been to one of these before?\n[00:26 - 00:28] Speaker B: No, I haven't. What's it like?\n[00:29 - 00:39] Speaker A: Oh, it's a lot of fun! There's usually music and dancing, and everyone brings food to share. It's a great way to get to know your community better and make new friends.\n[00:40 - 00:43] Speaker B: Neighbors, right? That sounds amazing! I might have to come check it out sometime."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--564472.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm so sorry. I know you didn't do this.\n[00:03 - 00:05] Speaker B: It's okay, I know you believe me.\n[00:05 - 00:22] Speaker A: Of course I do! I would never believe anyone who said you did something like that. You're my friend and I know you would never do anything to hurt me or anyone else intentionally, especially considering how much you've always cared about others and stood up for what's right in every situation we've faced together.\n[00:13 - 00:21] Speaker B: Sorry to cut in, but do you think we should talk to more people to clear this up faster? Thank you, Luis. It really means a lot to me to have your support.\n[00:21 - 00:32] Speaker A: Of course, Osvaldo. I just wish I could do more to  help you through this difficult time by gathering evidence or finding witnesses who can confirm your innocence beyond any doubt.\n[00:32 - 00:35] Speaker B: Just knowing you believe in me is enough. Thank you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--447088.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, John. How's everything going?\n[00:03 - 00:12] Speaker B: Things are going well. Business is good. We're making a lot of progress with our current projects and the team is really coming together to deliver exceptional results for our clients.\n[00:06 - 00:15] Speaker A: Sorry to jump in, but do you think we should reinvest some of that profit back into the business, maybe in marketing or expanding our product line?\n[00:15 - 00:25] Speaker B: That's actually a great idea. Reinvesting could definitely help us grow even more. I was going to say we're making a lot of money, but putting some of it back into the business could really set us up for long-term success.\n[00:26 - 00:33] Speaker A: Absolutely. I'm happy to hear that. I've always wanted to own my own business and I'm glad that it's doing well.\n[00:33 - 00:44] Speaker B: Me too. I'm glad we're partners. We make a great team, especially when it comes to brainstorming new ideas and\n[00:46 - 00:56] Speaker A: Speaking of our partnership, have you thought about our roles as we scale? Maybe we should start defining them more clearly to avoid any confusion down the road.\n[00:56 - 01:06] Speaker B: That's a good point. We do need to clarify our roles as we grow. I was saying we make a great team, and I think part of that is ensuring we're both clear on our responsibilities.\n[01:06 - 01:09] Speaker A: Exactly. Thanks, John. I appreciate your support.\n[01:10 - 01:15] Speaker B: You're welcome. I know you've worked hard to make this business a success. You deserve it.\n[01:15 - 01:17] Speaker A: Thanks. I appreciate that."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1001071.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I can't believe it. I was walking home from school and I saw my mom kissing another man.\n[00:06 - 00:09] Speaker B: Whoa, that's crazy. Are you sure it was your mom?\n[00:10 - 00:20] Speaker A: Yeah, I'm positive. I don't know what to think or how to even begin to process this situation because it completely contradicts everything I thought I knew about my parents' relationship.\n[00:13 - 00:17] Speaker B: Wait, where exactly did you see this? Was it somewhere public or near your house?\n[00:18 - 00:22] Speaker A: It was near our house, just a few blocks away. I don't know what to do.\n[00:23 - 00:29] Speaker B: Well, first of all, you need to take a breath and calm down. It's going to be okay. Do you want to talk about what you saw?\n[00:30 - 00:43] Speaker A: I don't know. It just came out of nowhere and it was so unexpected. I feel like I'm in shock right\n[00:44 - 00:48] Speaker B: I get that. But maybe it would help if you just let it out. What exactly did you see?\n[00:49 - 00:56] Speaker A: I saw them standing really close, talking, and then they kissed. I just froze. I feel like this is a nightmare.\n[00:57 - 01:02] Speaker B: That makes sense. It sounds like this is a really big deal for you. Have you talked to your mom about it yet?\n[01:02 - 01:06] Speaker A: No, I ran away and came here. I don't know if I can face her.\n[01:07 - 01:16] Speaker B: That's understandable. This is a lot to process. Do you want to stay here for a while? We can watch TV or play some video games to take your mind off of it.\n[01:16 - 01:19] Speaker A: Yeah, that sounds good. Thanks for being here for me.\n[01:20 - 01:22] Speaker B: Of course, that's what friends are for."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--150383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: It's so important to always be true to yourself. You can't grow as a person if you're not honest with your own feelings and desires, especially when facing difficult decisions or challenging situations that test your core values and beliefs.\n[00:05 - 00:11] Speaker B: Sorry to jump in, but do you think people struggle with this because of societal pressures or personal insecurities?\n[00:12 - 00:28] Speaker A: I think it's a combination of both. Societal pressures can definitely make it harder for people to be true to themselves. But personal insecurities play a big role too. So many people try to be someone they're not, and it just doesn't lead to genuine happiness or fulfillment.\n[00:29 - 00:39] Speaker B: I completely agree! It's impossible to grow if you're not being honest with yourself. But I'm curious, what do you think is the first step for someone to start being more honest with themselves?\n[00:39 - 01:01] Speaker A: The first step is self-reflection. Taking the time to understand your true feelings and desires is crucial. People need to realize that they can't change who they are, they can only grow and learn from their experiences. Trying to be someone else is just a  waste of time and energy that could be better spent on personal development and building authentic relationships with others."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--49720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Stop following me around!\n[00:02 - 00:12] Speaker B: I'm not following you around, you're just always in front of me when I try to go somewhere, like when I'm heading to class or just walking to the store, it's not my fault our paths keep crossing.\n[00:04 - 00:08] Speaker A: Stop making excuses! Just stay away from me!\n[00:08 - 00:11] Speaker B: But you keep moving around, and I can't help it if you're always in front of me!\n[00:12 - 00:13] Speaker A: Then I'll just stop moving!\n[00:14 - 00:20] Speaker B: But then we'll both be stuck here\n[00:23 - 00:28] Speaker A: Wait, I have an idea. I'll go first, and you wait until I'm out of sight.\n[00:29 - 00:31] Speaker B: Fine, that works for me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--387024.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how are you doing?\n[00:02 - 00:04] Speaker B: I'm doing alright, thanks for asking. How about you?\n[00:05 - 00:19] Speaker A: I'm doing well, thanks. I was just thinking about how fair and equal everyone should be treated, especially in the workplace where unconscious biases can sometimes affect decision-making processes without people even realizing it.\n[00:10 - 00:16] Speaker B: Oh, I totally agree! But do you think it's realistic to achieve that kind of fairness in today's society?\n[00:16 - 00:30] Speaker A: It's definitely challenging, but I think it's something we should all strive for. That's why I always make sure to treat everyone equally and fairly. I think it's important to give everyone the same opportunities and chances to succeed.\n[00:30 - 00:41] Speaker B: Absolutely! We all should be given the same opportunities in life, regardless of our social status or anything else. Viktoria, you're such a fair person and I really admire that about you!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1030451.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: I'm sorry that I haven't been managing my time as well as I should. I know it's something that I need to work on to be more productive and efficient in my tasks by setting clear goals, tracking my progress, and adjusting my approach based on what works best for my workflow.\n[00:06 - 00:13] Speaker B: It's not just about managing your time, Rosalie. It's about being more efficient with the time you have. Let me give you some specific examples.\n[00:13 - 00:20] Speaker A: OK, boss. Give me some specific examples of how I can improve my time management skills.\n[00:20 - 00:34] Speaker B: Rosalie, you need to learn to prioritize your tasks and work on the most important ones first. Secondly, you need to take breaks when you feel overwhelmed or when you find yourself losing focus, so you can come back to your tasks with a fresh perspective.\n[00:34 - 00:42] Speaker A: Sorry to interrupt, but when you say \"prioritize,\" do you mean I should make a daily list or is there another method you recommend?\n[00:42 - 01:00] Speaker B: A daily list is a great start, but also consider categorizing tasks by urgency and importance. As I was saying, you should take breaks when you feel overwhelmed or  stressed instead of working through those feelings, as this will actually improve your overall productivity and help you maintain better mental clarity throughout your workday.\n[01:00 - 01:06] Speaker A: No, I think I understand. I'm sorry for not managing my time better. I'll do my best to improve.\n[01:07 - 01:11] Speaker B: I know you will, Rosalie. Just take it one day at a time and you'll get the hang of it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--744708.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: I'm so happy that I started journaling. It's really helped me to process my emotions and reflect on my life in a positive way, and it's something I look forward to every day because it gives me clarity and helps me track my personal growth over time.\n[00:07 - 00:12] Speaker B: Sorry to jump in, but I just remembered—do you find that journaling helps you manage stress better, too?\n[00:12 - 00:24] Speaker A: Yes, it definitely helps with stress management. I can say whatever I want in my journal and there's no judgement. I can just be completely honest with myself, which is really liberating.\n[00:25 - 00:31] Speaker B: That makes sense. It's like having a safe space to just be yourself without having to worry about what anyone else thinks.\n[00:31 - 00:38] Speaker A: Exactly! And it's also helping me to focus on the positive things in my life, which is making me happier overall.\n[00:39 - 00:52] Speaker B: That's great! I'm really happy for you. I might start journaling myself if it's helping you so  much. It sounds like it could be really beneficial for me as well, especially during those times when I feel overwhelmed or need to work through complex emotions.\n[00:52 - 00:55] Speaker A: You should! I would highly recommend it!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--334612.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey dad.\n[00:01 - 00:02] Speaker B: Hey buddy, what's up?\n[00:03 - 00:04] Speaker A: I got some bad news today.\n[00:05 - 00:05] Speaker B: What happened?\n[00:06 - 00:08] Speaker A: I was dropped from the school's list.\n[00:09 - 00:16] Speaker B: Oh, I'm sorry to hear that. What does that mean for your future plans and how are you feeling about this unexpected turn of events?\n[00:11 - 00:15] Speaker A: It means I'm not good enough and I'll never be able to attend the school.\n[00:15 - 00:24] Speaker B: That's not true. Just because you were dropped from the list doesn't mean you're not good enough. It could just mean that they had too many people apply and they had to make some cuts.\n[00:24 - 00:27] Speaker A: But I was so close. I was number seven on the list.\n[00:28 - 00:36] Speaker B: Ivonne, there are a lot of talented people in the world and sometimes it's just a matter of being in the right place at the right time. You still have so much potential.\n[00:37 - 00:38] Speaker A: But I really wanted this one.\n[00:39 - 00:46] Speaker B: I know you did, buddy. And I'm sorry that it didn't work out but like I said, there will be other chances for you to pursue your dreams."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--876642.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Dad, do you remember that painting we saw when I was younger? The one with the shipwreck?\n[00:05 - 00:17] Speaker B: Yes, I remember it well. It was a beautiful yet tragic scene that really captured the desperation of those sailors with their tattered clothes and outstretched arms reaching toward the distant horizon where help might come from.\n[00:08 - 00:16] Speaker A: Beautiful, but also haunting. I've been thinking about it lately and wondering what happened to those people in the painting. They looked so sad.\n[00:17 - 00:29] Speaker B: Well, we don't know for sure what happened to them, but we can imagine. Maybe they were rescued by another ship or maybe they built a raft and floated to safety. Or maybe they all perished in the storm that caused the shipwreck in the first place.\n[00:29 - 00:40] Speaker A: Sorry to interrupt, but I just can't stop thinking about how terrifying it must have been for them. Being stranded on that island with no help coming—it must have been so scary.\n[00:40 - 00:48] Speaker B: Yes, it would have been a very frightening experience for sure. But we don't know for certain what happened to them, so let's not dwell on it too much."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--475039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Hey, girl! You look amazing! What have you been doing lately to achieve such incredible results? I need to know your entire wellness routine and secret!\n[00:03 - 00:07] Speaker B: Sorry to cut you off, but I have to say, your energy is just radiating! What's your secret?\n[00:08 - 00:13] Speaker A: I've just been working out a lot and eating healthier. I'm down 20 pounds since last year!\n[00:14 - 00:21] Speaker B: That's incredible! I can definitely tell. You look\n[00:23 - 00:27] Speaker A: Oh, and I feel great too. I have so much more energy now.\n[00:27 - 00:32] Speaker B: I can imagine. I'm actually thinking about starting to work out more and eat better myself.\n[00:32 - 00:35] Speaker A: That's a great idea! I can help you if you want.\n[00:36 - 00:38] Speaker B: That would be awesome! Thanks, Sarah."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--514230.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I don't understand, Aubre. You told me you loved me.\n[00:03 - 00:06] Speaker B: I do love you, Maniyah. But I can't be with you anymore.\n[00:07 - 00:16] Speaker A: Why? What did I do wrong? What happened to make you feel this way after all the beautiful moments we've shared and the promises we made to each other?\n[00:08 - 00:10] Speaker B: I just can't. It's not you, it's me.\n[00:11 - 00:17] Speaker A: That's such a cop-out answer! You're obviously hiding something from me. Just tell me the truth!\n[00:17 - 00:26] Speaker B: I am telling you the truth! I just don't think we should be together anymore, that's\n[00:29 - 00:33] Speaker A: But why, Aubre? What changed? You owe me at least that much!\n[00:34 - 00:35] Speaker B: It's not like that at all!\n[00:36 - 00:41] Speaker A: Then explain it to me! Because from where I'm standing, it looks an awful lot like that!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--674832.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, friend! How are you doing today?\n[00:02 - 00:12] Speaker B: I'm doing well, thanks for asking. How about you? You seem pretty busy as you always have so much on your plate lately with all your commitments and responsibilities piling up one after another.\n[00:07 - 00:13] Speaker A: Yeah, I've just been really busy lately with school and work. I'm just trying to get everything done that I can.\n[00:14 - 00:20] Speaker B: That sounds tough. I know you're a go-getter though, so you'll definitely be able to accomplish everything you set your mind to.\n[00:20 - 00:36] Speaker A: Thanks, friend. Just knowing that you believe in me makes me feel more confident. But it's not always easy, especially when  there's so much pressure from all sides including professors, bosses, and even family expectations that can feel overwhelming at times.\n[00:36 - 00:43] Speaker B: Especially when things get overwhelming, right? I totally get it. Is there anything specific that's been weighing on you more than usual?\n[00:43 - 00:49] Speaker A: Yeah, it's mostly the deadlines for school. I feel like I'm constantly racing against the clock.\n[00:50 - 00:55] Speaker B: Well, if there's anything I can do to help you out, please let me know. I'm always here for you, Amit."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--297496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Sarah. What's going on?\n[00:02 - 00:11] Speaker B: Not much. Just hanging out at home. You know, same old, same routine, nothing too exciting except maybe binge-watching some shows and trying out new recipes when I get bored.\n[00:06 - 00:13] Speaker A: Sorry to jump in, but I just remembered—did you hear about that new movie that's coming out? It looks really good.\n[00:13 - 00:16] Speaker B: Oh yeah, I've been wanting to see that! When does it come out?\n[00:16 - 00:27] Speaker A: Next week, I think. We should definitely  plan a movie night or something, maybe grab dinner beforehand and make a whole evening out of it since we haven't hung out in ages.\n[00:27 - 00:31] Speaker B: Oh, next week? That's perfect! We should definitely go see it!\n[00:32 - 00:34] Speaker A: Yeah, that would be great."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--708343.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Why do you have to be so cocky all the time? It's really annoying.\n[00:04 - 00:13] Speaker B: I'm not trying to be annoying, I'm just confident in my abilities and the work I put in, which I believe is important for personal growth and achieving success in any field.\n[00:07 - 00:13] Speaker A: Confident or not, it still comes off as arrogance, and it makes me look bad by comparison.\n[00:13 - 00:20] Speaker B: I'm sorry if I make you look bad, but I don't mean to. I guess I just don't see how being confident is a bad thing.\n[00:20 - 00:27] Speaker A: It's not a bad thing, but you don't need to flaunt it all the time. It just makes you seem like you're trying to show off.\n[00:27 - 00:31] Speaker B: I'm not trying to show off, I'm just proud of myself and what I've accomplished.\n[00:31 - 00:42] Speaker A: That's fine, but there's a difference between being proud and being  overbearing and making others feel inferior, which can create unnecessary tension in our relationship and among our peers.\n[00:43 - 00:49] Speaker B: If you mean cocky, I get it. But sometimes I can't help but feel confident about myself. It's just who I am.\n[00:49 - 00:55] Speaker A: Well, maybe you should try to tone it down a bit, especially around me. It really gets on my nerves.\n[00:56 - 00:58] Speaker B: I'll try to tone it down, but I can't promise anything."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--356688.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: I don't understand what's happening. I used to be so good at handling these situations with confidence and precision, but now I feel like I'm constantly making mistakes and second-guessing every decision I make.\n[00:03 - 00:09] Speaker B: It sounds like you're feeling frustrated with your progress. Have you considered that maybe you're just going through a rough patch?\n[00:10 - 00:26] Speaker A: Yeah, I am. I feel like I'm regressing instead of improving. But how do I know if I'm just not cut out for this anymore? Maybe I should just quit while I still have some dignity left and before I completely lose faith in myself and my abilities to perform at this level.\n[00:30 - 00:43] Speaker B: Prudence, you've been one of the most talented players I've ever coached. If you give up now, you'll regret it for the rest of your life. You have to trust in your abilities and keep working hard. Things will turn around for you, I promise.\n[00:43 - 00:47] Speaker A: I hope you're right, coach. I really don't want to give up on my dream.\n[00:47 - 00:53] Speaker B: I know you don't. And you shouldn't. Now let's get back to work so you can start achieving your goals again."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--908444.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Abrahan, I'm trying to talk to you. Can you please put your phone down for a moment so we can focus on the conversation and really connect without any distractions between us?\n[00:04 - 00:06] Speaker B: I'm sorry, I was just checking my messages.\n[00:07 - 00:18] Speaker A: It's fine, I understand. But can we please talk now? I feel like we've been neglecting each other lately, and I really want to reconnect and understand what's been going on with us.\n[00:18 - 00:22] Speaker B: You're right, we have been neglecting each other. I'm sorry about that.\n[00:22 - 00:24] Speaker A: So what do you want to talk about?\n[00:24 - 00:26] Speaker B: I don't know, what do you want to talk about?\n[00:27 - 00:34] Speaker A: I guess I just want to know what's going on with you. You've been acting different lately and I'm just wondering what's going on.\n[00:34 - 00:38] Speaker B: There's nothing really going on, I've just been busy with work and stuff.\n[00:39 - 00:44] Speaker A: Okay, well maybe we can talk about something else then. What did you do today?\n[00:45 - 00:47] Speaker B: Not much, just went to work and then came home.\n[00:48 - 00:49] Speaker A: What about yesterday?\n[00:49 - 00:53] Speaker B: Yesterday was pretty much the same thing. Work and then came home."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--39376.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm so glad I could brighten your day with some grapes, Esteban.\n[00:04 - 00:18] Speaker B: Thank you so much, Juanjose! It really means a lot to me. I've been having a tough week and this is just what I needed to lift my spirits, even if just a little bit, because small gestures like this remind me there's still kindness in the world during difficult times.\n[00:09 - 00:14] Speaker A: Oh no, what happened? Did something specific trigger this tough week?\n[00:14 - 00:22] Speaker B: Well, my grandmother passed away last week and it's just been really hard for me. She was such an important part of my life and I miss her so much already.\n[00:23 - 00:35] Speaker A: I'm so sorry for your loss, Esteban. That must be really tough for you to deal with. If there's anything I can do to help, please don't hesitate to ask, even if it's just someone to listen.\n[00:35 - 00:39] Speaker B: Actually, just talking to you is helping more than you know. Thank you for being here."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--633173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I can't believe they're making us follow all of these rules.\n[00:03 - 00:05] Speaker B: I know, there are so many of them.\n[00:05 - 00:14] Speaker A: And they're so specific too. It's like they don't trust us to make decisions on our own without constant supervision and approval from multiple levels of management.\n[00:09 - 00:13] Speaker B: Do you think it's because someone messed up before? Maybe that's why they're being so strict now.\n[00:14 - 00:18] Speaker A: That could be it. But, we have to follow the rules or we'll get in trouble.\n[00:18 - 00:21] Speaker B: I don't see why we can't just use our common sense.\n[00:21 - 00:33] Speaker A: Well, I guess the rules are there for a reason. Maybe they've had some problems in the past with people not following the rules and causing serious issues or even safety concerns.\n[00:33 - 00:40] Speaker B: Problems are one thing, but it feels like we're being micromanaged. How are we supposed to work effectively under these conditions?\n[00:40 - 00:46] Speaker A: I get that. But, it still doesn't make me happy about having to follow all of these rules."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--637306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, what's been going on?\n[00:02 - 00:14] Speaker B: Oh, not much. Just the usual stuff. You know, work and school and all the assignments piling up. It's been a bit overwhelming, to be honest, especially with finals coming up and my part-time job demanding more hours than usual.\n[00:05 - 00:12] Speaker A: Sorry, I just remembered something—didn't you mention a new project at work last time? How's that going?\n[00:12 - 00:21] Speaker B: Oh, right! The new project has been pretty demanding, which is why I've been feeling a bit stressed out lately because of all the deadlines we've been getting. But it's nothing I can't handle.\n[00:22 - 00:26] Speaker A: That sounds tough. I hope things start to ease up for you soon.\n[00:26 - 00:28] Speaker B: Thanks. I'm sure they will eventually.\n[00:29 - 00:30] Speaker A: So what's new with school?\n[00:31 - 00:38] Speaker B: Not much. We're just starting to get into the really heavy stuff now, so it's been a little overwhelming, but I'm trying to stay on top of it.\n[00:38 - 00:43] Speaker A: Speaking of heavy stuff, are you still planning to take that extra course this semester?\n[00:43 - 00:48] Speaker B: Yeah, I am. It's going to be a challenge with everything else going on, but I'm managing.\n[00:48 - 00:53] Speaker A: I remember those days. It can be tough to keep up with everything.\n[00:53 - 00:55] Speaker B: Tell me about it. But I'm hanging in there."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--4948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:23] Speaker A: Sarah, I've been feeling really stuck lately. I'm not sure if I'm happy with my current situation. I'm considering a change of scenery, a new job, or even moving to a new city. What do you think about making such a big change at this point in my life? I'm particularly concerned about the financial implications and whether I'm emotionally ready for such a major transition.\n[00:12 - 00:21] Speaker B: Sorry to jump in, but when you say \"change of scenery,\" do you mean you're leaning more towards moving to a new city, or is it more about finding a new job where you are now?\n[00:22 - 00:34] Speaker A: That's a good question. Honestly, I'm not sure yet. It could be either, or maybe even both. I just feel like something needs to change. I'm not sure what exactly, but something just doesn't feel right.\n[00:35 - 00:52] Speaker B: Maybe it would help to sit down and make a list of pros and cons for each option? That way you can get all of your thoughts out on paper and see things more clearly. Plus, it might help you to talk through your options with someone else too. So if you want to bounce any ideas off me, I'm here for any brainstorming or just to listen if you need to vent.\n[00:52 - 01:02] Speaker A: Actually, that sounds perfect. I think talking it out with you could really help me figure things out. Thank you, Sarah. I really appreciate your support.\n[01:02 - 01:14] Speaker B: Absolutely! I'm always here for you, Veronika. Let me know when you want to  schedule a proper brainstorming session where we can go through all your options in detail and maybe even research some potential cities or job opportunities together."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--762905.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I can't believe I left my phone at the office!\n[00:03 - 00:04] Speaker B: Oh no, that's terrible!\n[00:05 - 00:24] Speaker A: Yeah, I was really upset at first. But then I realized that this could be a good opportunity to disconnect from technology for a day. And you know what? It was such a refreshing experience that made me realize how much time I normally waste mindlessly scrolling through apps and notifications without any real purpose.\n[00:15 - 00:20] Speaker B: Wait, did you have any important calls or messages you were expecting? That would have been my first concern.\n[00:21 - 00:30] Speaker A: Surprisingly, no. I mean, I did have some emails and notifications, but nothing urgent. It was great! I felt so liberated without my phone.\n[00:30 - 00:43] Speaker B: That's really interesting. I've been thinking about doing something similar lately. Our lives are so intertwined with our phones and social media nowadays, it's hard to imagine life without them. But maybe we don't need them as much as we think we do.\n[00:44 - 01:00] Speaker A: Exactly! I definitely don't need my phone as much as I thought. It was nice to just be present in the moment and not be distracted by notifications or emails or anything like that. Plus, it forced me to talk to people more instead of looking at my screen all the time.\n[01:00 - 01:11] Speaker B: Yes, that's true. We often use our phones as a crutch when we're feeling awkward or shy in social situations. But if we didn't have them, we would have to actually interact with people instead of hide behind our screens.\n[01:12 - 01:20] Speaker A: Exactly! So overall, it was a really positive experience for me. And who knows, maybe I'll do it again sometime soon."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--795181.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, are you okay?\n[00:02 - 00:04] Speaker B: Not really. I'm having a tough day.\n[00:04 - 00:07] Speaker A: I'm sorry to hear that. What's going on?\n[00:07 - 00:19] Speaker B: Just feeling a bit down, I guess. Everything seems to be going wrong and it's been hard to find the motivation to keep pushing through these challenges, especially when they keep piling up one after another without any relief in sight.\n[00:11 - 00:18] Speaker A: Sorry to jump in, but when you say \"everything,\" do you mean just today or has this been going on for a while?\n[00:19 - 00:28] Speaker B: It's been going on for a while. First, my mom got sick and then my dog died. And now my job is on the line because of all the stress I've been under. I feel like I can't catch a break.\n[00:29 - 00:43] Speaker A: That definitely sounds like a lot to deal with all at once. It's no wonder you're feeling down. But it sounds like you're handling everything the best you can under the circumstances. You're strong and resilient, and things will get better in time.\n[00:44 - 00:47] Speaker B: Thanks for understanding, Yovany. It really means a lot to me.\n[00:47 - 00:50] Speaker A: Of course. I'm here for you any time you need to talk."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--844892.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, Evangelina. How are you doing today?\n[00:03 - 00:06] Speaker B: I'm doing alright, Hattie. Just a little hungry.\n[00:06 - 00:17] Speaker A: Oh, yeah? What would you like to eat? Maybe we can grab something together from that new cafe downtown that just opened last week with all the delicious pastries and sandwiches.\n[00:08 - 00:12] Speaker B: Sorry, but are you hungry too? Maybe we can decide together.\n[00:12 - 00:19] Speaker A: I hadn't thought about that, but sure, I'm a bit hungry as well. I don't know. Maybe a sandwich or something.\n[00:19 - 00:23] Speaker B: Okay, what kind of sandwich would you prefer? Do you have any specific cravings?\n[00:24 - 00:28] Speaker A: Actually, I was thinking about a PB&J. What about you?\n[00:28 - 00:32] Speaker B: Hmm, maybe a PB&J sounds good. All right, coming right up."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--480349.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hey, Andersen! I saw your wedding photo on Facebook and just wanted to say congrats! You looked so beautiful in that dress.\n[00:07 - 00:20] Speaker B: Thank you so much, Everley! It was such a special day. I'm so lucky to have found the man of my dreams who truly understands and supports me in every way possible. We've been through so much together, and it all led to that perfect moment.\n[00:13 - 00:19] Speaker A: Speaking of your husband, how did he react when he first saw you in that dress? I bet he was speechless!\n[00:20 - 00:32] Speaker B: Oh, he was absolutely stunned! He couldn't stop smiling. I remember he told me I looked like a princess. But I haven't mentioned how we both felt during the ceremony—it was such an emotional moment. We were both tearing up.\n[00:32 - 00:35] Speaker A: I can imagine. Those moments are unforgettable."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--630141.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, Mom. I noticed that there wasn't enough food for everyone, so I decided to make a meal for the family.\n[00:07 - 00:16] Speaker B: Charley, you didn't have to go to all that trouble, but I really appreciate it especially since you took the time to prepare everyone's favorite dishes and set the table so nicely.\n[00:08 - 00:15] Speaker A: I know, but I wanted to. I wanted to make sure that everyone had enough to eat and that they enjoyed the meal.\n[00:15 - 00:18] Speaker B: Thank you, son. That was really thoughtful of you.\n[00:18 - 00:22] Speaker A: No problem, Mom. I just want to help out however I can.\n[00:22 - 00:30] Speaker B: We appreciate it, honey. You're growing up to be such a responsible young man. It's great to see how much you care about the family.\n[00:30 - 00:42] Speaker A: Speaking of responsibility, I was wondering if I could help out more regularly around  the house with chores like doing laundry, cleaning the kitchen, and maybe even helping with grocery shopping when you need it?\n[00:42 - 00:46] Speaker B: Of course, that would be wonderful. We could always use the extra help."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--456887.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey, Dad.\n[00:01 - 00:03] Speaker B: Hey, Son. How are you doing?\n[00:03 - 00:07] Speaker A: I'm doing alright. Just thinking about some things.\n[00:07 - 00:08] Speaker B: What's on your mind?\n[00:09 - 00:26] Speaker A: I was just thinking about how much my life has changed in the last year. It's been a lot of ups and downs, but I feel like I'm finally starting to find my footing and understand what's really important to me, especially when it comes to building meaningful relationships and pursuing my passions with purpose.\n[00:18 - 00:23] Speaker B: Sorry to jump in, but when you say \"ups and downs,\" are there any specific moments that stand out to you?\n[00:23 - 00:33] Speaker A: Yeah, there were a few tough situations, like when I lost my job and had to figure out what to do next. But now, I feel like I'm starting to get a handle on things.\n[00:34 - 00:45] Speaker B: That's good to hear. It sounds like you've been through a lot lately. Are you sure you're ready to take on  new responsibilities or challenges that might come your way, considering how much you've grown and learned from your past experiences?\n[00:46 - 00:53] Speaker A: Definitely, Dad. I know I have the strength and determination to make it through whatever challenges come my way."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1142459.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I can't believe we're finally here! After all those years of planning and training, we're finally on our way to Venus.\n[00:07 - 00:12] Speaker B: It's amazing, isn't it? I still can't believe that we were chosen for this mission.\n[00:12 - 00:17] Speaker A: It's a once in a lifetime opportunity. And I'm determined to make the most of it.\n[00:17 - 00:23] Speaker B: We'll be the first humans to set foot on Venus. That's pretty overwhelming when you think about the responsibility we have.\n[00:24 - 00:31] Speaker A: Sorry to jump in, but have we double-checked all our equipment for the landing? I just want to make sure everything is ready.\n[00:32 - 00:41] Speaker B: Yes, everything's been checked multiple times. But as I was saying, it's pretty incredible. I know. It's a bit daunting, but also very exciting. I can't wait to see what we find there.\n[00:42 - 00:50] Speaker A: Me too. I'm sure it will be fascinating. But we need to be careful. The environment on Venus is very different from what we're used to on Earth.\n[00:51 - 01:05] Speaker B: I know. But don't worry, I've studied the data and I'm prepared for anything that might come up. Besides, you'll be there with me, so I know we'll be able to face any challenge together and make groundbreaking discoveries that will change our understanding of the universe forever.\n[00:59 - 01:08] Speaker A: Prepared, yes. But are we mentally ready for the isolation? Months away from Earth, with just the two of us—it's something we should seriously consider.\n[01:08 - 01:17] Speaker B: You're right, the isolation is something we've trained for, but experiencing it will be different. Still, I believe we'll manage. I hope so. I don't want anything to happen to you.\n[01:17 - 01:28] Speaker A: Don't worry, I'll be careful. But even if something does happen, it's worth the risk. This is an incredible opportunity and I'm not going to let anything stop me from taking it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--638647.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Cailynn. What's up?\n[00:02 - 00:10] Speaker B: Not much. Just hanging out and thinking about what we talked about the other day, especially that interesting project you mentioned you were starting with your team at work.\n[00:03 - 00:09] Speaker A: Sorry to jump in, but I've noticed you've been watching me a lot lately. Is everything okay?\n[00:09 - 00:19] Speaker B: Yeah, of course. I just like seeing what you're  working on because you've been really focused lately, and it's inspiring to watch someone so dedicated to their craft and pushing boundaries creatively.\n[00:20 - 00:24] Speaker A: It makes me feel a little uneasy, to be honest. Like I can't trust you.\n[00:25 - 00:31] Speaker B: Saphire, I would never do anything to hurt you. You're my friend and I care about you. I'm just curious, that's all.\n[00:32 - 00:37] Speaker A: Okay, I believe you. But please try not to stare at me so much, it's really creepy."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--194829.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: Sarah, I'm really not sure what I should do. I feel like I need to make a decision, but every time I try to, something holds me back from actually committing to one path, and it's really frustrating because I know this indecision is preventing me from making progress in my career and personal life.\n[00:08 - 00:13] Speaker B: What exactly is holding you back? Is it fear of the unknown, or maybe something else that's making you hesitate?\n[00:13 - 00:33] Speaker A: I think it's a combination of things. There are just so many options, and I don't want to choose the wrong one. What if I make a mistake and regret it down the line when it's too late to change course and I've already invested significant time and resources into a path that doesn't fulfill me? That thought keeps me from moving forward.\n[00:31 - 00:40] Speaker B: Regret is part of life, Tyesha. But if you don't take any steps forward, you'll never know what could have been. Sometimes, taking a risk is the best way to learn and grow.\n[00:41 - 00:45] Speaker A: You're right. I just need to trust my gut and go with my instinct.\n[00:45 - 00:48] Speaker B: That's the spirit! I know you'll make the right decision."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--11862.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I just can't believe this happened. I feel like I can't trust anyone anymore.\n[00:04 - 00:07] Speaker B: I'm sorry to hear that, Elam. Can you tell me what happened?\n[00:08 - 00:23] Speaker A: I was walking home from work last night and someone came up behind me and grabbed my purse. They knocked me to the ground and then took off running before I could react, disappearing into the dark alleyways before anyone could come to my assistance or call for help.\n[00:15 - 00:18] Speaker B: Oh no, are you okay? Did you get hurt?\n[00:18 - 00:25] Speaker A: I'm a bit bruised, but I'll be fine. I didn't get a good look at the person, it all happened so fast.\n[00:25 - 00:26] Speaker B: Did you see who did it?\n[00:27 - 00:31] Speaker A: No, it all happened so fast. I didn't get a good look at the person.\n[00:31 - 00:34] Speaker B: Do you have any idea why they would target you?\n[00:34 - 00:38] Speaker A: No, I don't know why they would do this to me. I haven't done anything wrong.\n[00:39 - 00:42] Speaker B: Do you have any enemies that you can think of? Anyone who might want to hurt you?\n[00:43 - 00:48] Speaker A: No, I don't have any enemies. I can't think of anyone who would want to hurt me like this.\n[00:49 - 00:56] Speaker B: Okay, we'll keep looking into this and see if we can find anything. In the meantime, try to stay safe and maybe avoid walking alone at night if possible.\n[00:57 - 01:04] Speaker A: Just to clarify, did you mean you will be looking into it personally or should I report this to the police as well?\n[01:04 - 01:17] Speaker B: Definitely report it to the police. They might have more resources to help. In the meantime, try to stay safe and  be careful about your surroundings, especially in less populated areas where such incidents are more likely to occur."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1084179.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, I've been thinking about starting a new project and I wanted to get your opinion on it.\n[00:06 - 00:07] Speaker B: Sure, what's the project?\n[00:07 - 00:28] Speaker A: Well, I was thinking about starting a blog where I write about personal finance. I would share tips on how to save money, invest wisely, and stay out of debt. What do you think about the idea of incorporating guest posts from financial experts who could provide specialized knowledge and unique perspectives that would add tremendous value for our readers?\n[00:18 - 00:24] Speaker B: Sorry to cut in, but how do you plan to make your blog stand out from all the other personal finance blogs out there?\n[00:25 - 00:33] Speaker A: That's a good point. I was planning to focus on personal stories and real-life examples to make it more relatable. What do you think?\n[00:34 - 00:47] Speaker B: That sounds like a great idea! I know a lot of people who could definitely use some help in that area. Plus, it seems like there's always new information to share on the topic of personal finance, so you'd never run out of things to write about. Count me in as a reader!\n[00:48 - 01:02] Speaker A: Awesome, I'm glad you think it's a good idea. I was worried you might think it was a little  too niche or not engaging enough for a broad audience since personal finance can sometimes be perceived as dry or intimidating by many people.\n[01:03 - 01:12] Speaker B: Boring? Not at all! I think it sounds like it has the potential to be really helpful and informative. I'm sure there are plenty of people out there who would find it interesting and useful.\n[01:12 - 01:19] Speaker A: Yeah, I hope so. I'm going to start working on it right away. Thanks for the encouragement!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--741600.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Wow... Just... Wow. I've never seen anything like it.\n[00:04 - 00:06] Speaker B: I know, right? It's so beautiful.\n[00:06 - 00:21] Speaker A: It's just so big and blue and... Endless. It feels like you could stare at it forever and never get tired of its beauty because every wave brings a new pattern and every sunset paints a different masterpiece across its vast surface.\n[00:13 - 00:19] Speaker B: Sorry, but do you think we'll ever get tired of this view? I mean, is it possible to get used to something this amazing?\n[00:20 - 00:27] Speaker A: I don't think so. There's just something about it that keeps drawing you in. It's like a piece of the sky fell down to earth.\n[00:28 - 00:34] Speaker B: Exactly! And the way the sun reflects off the water is just incredible. Every time I see it, it takes my breath away.\n[00:35 - 00:40] Speaker A: I know how you feel. The ocean is definitely one of nature's most amazing wonders.\n[00:41 - 00:46] Speaker B: I feel so happy and content just looking at it. It's like all my worries disappear when I'm here.\n[00:47 - 00:54] Speaker A: Oh, speaking of worries, do you think the weather might change later? It looks a bit cloudy on the horizon.\n[00:54 - 01:05] Speaker B: It could, but honestly, even if it does, I think the ocean will still have that calming effect. It's like the ocean has this magical power to make you forget all your troubles and just enjoy the moment."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--531935.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: I can't believe you would say something like that to me, Shamari. I thought we were closer than that, and it really caught me off guard because I genuinely trusted you with my deepest thoughts and feelings.\n[00:04 - 00:08] Speaker B: What? I was just joking around. I didn't mean to hurt your feelings.\n[00:08 - 00:18] Speaker A: Well, you did. And now I'm going to get  back at you somehow, just to even things out and teach you a lesson about being more considerate of others' emotions.\n[00:18 - 00:24] Speaker B: Wait, before you say anything, I really want to apologize. I didn't realize it would affect you like this.\n[00:24 - 00:29] Speaker A: I appreciate the apology, but I'm still going to put a spider in your bed.\n[00:29 - 00:33] Speaker B: Ahhh! No, please don't do that! I'm deathly afraid of spiders!\n[00:33 - 00:37] Speaker A: Too bad. You shouldn't have hurt my feelings. Now you're going to suffer.\n[00:38 - 00:42] Speaker B: Eddie, please don't do this! I'm sorry, okay? Just please don't put a spider in my bed!\n[00:43 - 00:50] Speaker A: Fine. I won't put a spider in your bed. But only because I'm feeling generous today. Consider yourself lucky."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--718092.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Mom. What's up?\n[00:02 - 00:05] Speaker B: Not much. Just wondering how your day was.\n[00:05 - 00:21] Speaker A: It was fine, I guess. But I'm just so tired of everything going wrong all the time. I feel like I can't catch a break, you know? It's like one thing after another and no matter how hard I try to stay positive, the universe just keeps throwing more challenges my way.\n[00:12 - 00:18] Speaker B: Oh, Lucy, I totally get that. But what exactly has been going wrong? Maybe talking about it could help.\n[00:18 - 00:29] Speaker A: It's just a bunch of little things piling up. I feel so hopeless sometimes, like there's no point in even trying anymore. Everything feels so hard and it's just not worth it.\n[00:30 - 00:43] Speaker B: Well, let me tell you something that might help cheer you up a little bit. You know how we've always told you that you're special and\n[00:45 - 00:51] Speaker A: Yeah, but sometimes it just feels like words, you know? Like, I hear it, but I don't really believe it.\n[00:52 - 01:03] Speaker B: I understand that, but Lucy, those things are still true regardless of what might be going on in your life right now. You're still an amazing person with so much to offer the world. Don't forget that, okay?\n[01:03 - 01:07] Speaker A: Thanks, Mom. That actually does make me feel a little better.\n[01:07 - 01:12] Speaker B: I'm glad to hear that, sweetie. Just remember that we love you and we're always here for you, no matter what."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--999053.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Aixa, I need you to finish this task for me.\n[00:03 - 00:04] Speaker B: What task?\n[00:04 - 00:19] Speaker A: The one that we've been working on for the past few days. I'm tired of it and I want to take a break to focus on some other critical issues that have been piling up on my desk, including the quarterly financial review and upcoming team restructuring plans.\n[00:09 - 00:16] Speaker B: Wait, are you referring to the marketing report or the client presentation? I need to clarify which one.\n[00:16 - 00:31] Speaker A: The marketing report. I appreciate you taking over. I just feel  overwhelmed with the current workload and need to redistribute some tasks to ensure everything gets completed efficiently without compromising quality or missing deadlines.\n[00:32 - 00:37] Speaker B: I understand, Mehki. You've been handling a lot lately. I'll get it done as soon as possible.\n[00:37 - 00:40] Speaker A: Thank you, Aixa. I appreciate it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1140564.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey Markel, can I talk to you for a second?\n[00:02 - 00:03] Speaker B: Yeah, what's up?\n[00:04 - 00:05] Speaker A: It's about last weekend...\n[00:06 - 00:08] Speaker B: Oh, the party? Yeah, what about it?\n[00:08 - 00:10] Speaker A: I don't know if I should say anything...\n[00:11 - 00:13] Speaker B: You can tell me, I won't judge.\n[00:13 - 00:31] Speaker A: Okay. Well, I was really drunk and I did something that I'm not sure was appropriate or consensual because my memory is fuzzy and I keep replaying the situation in my head trying to understand what exactly happened that night. I feel so confused about it now.\n[00:19 - 00:22] Speaker B: Wait, are you saying you were too intoxicated to consent?\n[00:23 - 00:32] Speaker A: Yeah... We were making out and then he started to touch me down there and I wasn't sure if I wanted to but then he kept going and I just froze up and didn't stop him.\n[00:33 - 00:36] Speaker B: So you didn't want to have sex with him but you didn't say no either?\n[00:36 - 00:57] Speaker A: Right. And now I'm worried that it was rape because I wasn't able to give consent. But at the same time, part of me feels like it was my fault because I didn't\n[00:58 - 01:05] Speaker B: No, it's not your fault. Freezing up is a common response in situations like that. Have you talked to anyone else about it?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--590679.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: Hey, it's nice to finally meet you. I feel like I've been talking to you online for so long that it feels like we already know each other, sharing all those late-night conversations and inside jokes that have really built our friendship over these past few months.\n[00:05 - 00:12] Speaker B: Forever, right? Yeah, I know. It's crazy how we can just connect with someone from across the world so easily nowadays.\n[00:12 - 00:14] Speaker A: So what do you do for fun?\n[00:14 - 00:26] Speaker B: I like to read and listen to music. And of course, spending time with friends and  catching up on some good shows when I get the chance, especially those gripping mystery series that keep me guessing until the very last episode.\n[00:26 - 00:31] Speaker A: Family is important. I totally get that. What about your favorite genre of music?\n[00:32 - 00:36] Speaker B: I enjoy a bit of everything, but I'm really into indie rock lately. What about you?\n[00:37 - 00:47] Speaker A: I like playing video games and watching TV. But lately, I've been feeling kind of lonely without anyone to talk to in person. It's nice to have someone to talk to again.\n[00:48 - 00:54] Speaker B: Yeah, I know what you mean. It's easy to feel isolated when you're not around people that much. But at least we have each other now!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--98673.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Can I ask you something, teacher?\n[00:02 - 00:05] Speaker B: Of course, Theodore. What would you like to talk about or ask me?\n[00:05 - 00:11] Speaker A: Sorry to interrupt, but it's something that's been on my mind for a while. Do you think I'm a good student?\n[00:12 - 00:13] Speaker B: Why do you ask?\n[00:13 - 00:18] Speaker A: I don't know. I just want to know if I'm doing well in your eyes.\n[00:18 - 00:38] Speaker B: Theodore, you're an excellent student. You're always willing to learn and reflect on your own performance. This openness to learning means that you are constantly improving and growing as a person. I'm very pleased with your dedication and enthusiasm, especially how you consistently go above and beyond in your assignments and show genuine curiosity about the subject matter.\n[00:30 - 00:35] Speaker A: Actually, I was also wondering if there are specific areas where you think I could improve more?\n[00:35 - 00:44] Speaker B: I'm very proud of the progress you've made since we started working together. But if you're looking for areas to improve, perhaps we could focus more on your critical thinking skills."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--967919.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey dad.\n[00:01 - 00:02] Speaker B: Hey son, how are you doing?\n[00:03 - 00:14] Speaker A: I'm good. Just studying for my entrance exam and trying to cover all the important topics that might appear in the test, especially focusing on my weaker subjects to make sure I'm fully prepared.\n[00:09 - 00:15] Speaker B: That's great! I know you've been working hard, and I'm proud of the dedication you've shown. You're going to do great.\n[00:15 - 00:24] Speaker A: Dad, I really appreciate that, but I'm starting to get a bit anxious about the test. Do you have any advice on how to stay calm?\n[00:24 - 00:32] Speaker B: Absolutely. Just focus on what you know, take deep breaths, and remember that it's just one test. You've prepared well, so trust yourself.\n[00:32 - 00:36] Speaker A: Yeah, I guess you're right. Thanks, dad."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--49462.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm so sorry that happened, Memphis. It sounds like it was really tough for you.\n[00:05 - 00:14] Speaker B: Yeah, it was. I didn't know what to do or how to handle the situation without making things worse, especially since I was dealing with so many conflicting emotions and pressures at the time.\n[00:08 - 00:14] Speaker A: React? I can imagine. Sometimes, in the heat of the moment, it's hard to think clearly.\n[00:15 - 00:25] Speaker B: Exactly. It can be really difficult when we're faced with conflict, especially with people we care  deeply about, because our emotions tend to cloud our judgment and make us react in ways we might regret later.\n[00:25 - 00:35] Speaker A: About, yeah. And it's even harder when emotions are involved. But I think you did the best you could under the circumstances. And that's all anyone can ask for.\n[00:35 - 00:38] Speaker B: Thanks, Josefina. That means a lot coming from you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--700208.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, I'm sorry I'm late. I had a flat tire on the way in and didn't have a spare.\n[00:06 - 00:14] Speaker B: That's alright, these things happen. Are you sure you don't need any help with your car? I know a great mechanic nearby who could take a look at it if you'd like.\n[00:08 - 00:11] Speaker A: Actually, yeah, I'm fine. Just a little shaken up.\n[00:12 - 00:23] Speaker B: Well, take the rest of the day off to relax and get your bearings. We can't have you coming in to work all  stressed out and unable to focus on your tasks, especially when we have that important client presentation coming up next week.\n[00:24 - 00:28] Speaker A: Frazzled, I understand. Thank you, boss. I appreciate it.\n[00:28 - 00:32] Speaker B: No problem at all. Get some rest and we'll see you back here tomorrow bright and early."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--96343.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: Sarah, I can't believe we're finally in Japan! I've been wanting to come here for years and now that we're actually standing here in Tokyo, it feels like all my childhood dreams about visiting this incredible country are finally coming true in the most spectacular way possible.\n[00:09 - 00:14] Speaker B: I know, me too! It's so beautiful here. Everything is so different from what we're used to back home.\n[00:15 - 00:28] Speaker A: Right? The architecture, the people—everything has its own charm. Just being here makes me feel like a better person already. I feel like I can learn so much about a new culture and gain some much-needed perspective.\n[00:28 - 00:44] Speaker B: I completely agree. There's something about being in a foreign country that just makes you see things differently. Maybe it's because you're not as familiar with your surroundings, but either way, it definitely gives you a new perspective on what really matters in life and how we approach our daily routines.\n[00:45 - 01:00] Speaker A: Speaking of perspective, I can't wait to visit some temples and historical sites. I feel like those will really open my eyes to\n[01:01 - 01:08] Speaker B: Absolutely. Japan is such a rich culture with so much to offer. I think you'll definitely come back a changed woman after spending some time here."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--805520.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: This is the life. Just you, me, and nature.\n[00:04 - 00:13] Speaker B: Yeah, it's so peaceful out here. I can't believe we live in a world where we're constantly bombarded with noise and activity. It's nice to just get away from it all for a while.\n[00:13 - 00:32] Speaker A: I know what you mean. It's like everything just fades away when I'm out here. All my worries and stress disappear. It's like being in nature resets my mind and helps me find a sense of balance and clarity that's hard to achieve in our fast-paced urban environments with all their distractions and artificial stimuli.\n[00:24 - 00:32] Speaker B: Sorry to jump in, but I totally get that feeling. Do you think there's a specific place that works best for you, or is it just being in nature in general?\n[00:33 - 00:45] Speaker A: It's mostly just being in nature in general, though certain places do have a special vibe. I haven't mentioned yet how hiking specifically can help me feel more connected to the environment and improve my fitness.\n[00:45 - 00:54] Speaker B: Hiking sounds great. But I'm curious, do you think it's something that can be easily picked up by someone who's never really been into outdoor activities before?\n[00:54 - 01:04] Speaker A: Definitely! I think nature has a way of speaking to us and helping us connect with our inner selves. Hiking is a great way to clear your head and just enjoy the moment."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1123691.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, man. I've been eating a lot of carrots lately and I've gained five pounds.\n[00:05 - 00:16] Speaker B: That's insane! Why have you been eating so many carrots? I mean, there are other healthy foods you can incorporate into your diet too, like leafy greens or bell peppers which provide different nutrients without the excess calories.\n[00:07 - 00:11] Speaker A: Well, I read that they're really good for you and they help improve your vision.\n[00:11 - 00:17] Speaker B: Yeah, but eating that many carrots is going to make you gain weight. You shouldn't be eating more than two or three carrots a day.\n[00:18 - 00:31] Speaker A: I don't know. I'm just following what the internet says. Carrots are good for you and they're low in calories so I don't see how they could make me gain weight, but maybe you're right. I should probably look into this more.\n[00:31 - 00:44] Speaker B: Raven, the internet is not always right. You should trust your own judgment on this one. Too many carrots are going to make you gain weight whether the internet says so or not. Just be careful and try to limit yourself to a few carrots a day."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--610118.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I can't believe you're doing this to me! I thought I was doing a good job.\n[00:04 - 00:16] Speaker B: I'm sorry, Shyan, but we're going to have to let you go. We're downsizing and your position is being eliminated due to budget constraints and restructuring across multiple departments as part of our company-wide reorganization plan.\n[00:09 - 00:16] Speaker A: How am I supposed to find another job in this economy? I have bills to pay and a family to support!\n[00:16 - 00:27] Speaker B: I'm really sorry, Shyan. There's nothing I can do. You're welcome to apply for other positions within the company, but I don't know if there will be anything available that matches your skills right away.\n[00:28 - 00:32] Speaker A: This is so unfair! I can't believe you're doing this to me!\n[00:32 - 00:39] Speaker B: I understand how you feel, but it's nothing personal. We just have to make some cutbacks, and unfortunately, your position is one that we can't keep.\n[00:40 - 00:46] Speaker A: Well, what about all the other people who are being let go? Are they just going to be out on the street too?\n[00:46 - 00:55] Speaker B: I'm sorry, Shyan. I can't discuss specifics about other employees. But I can tell you that we're trying to help everyone who is affected by this downsizing find new employment.\n[00:56 - 00:59] Speaker A: That's not good enough! You've ruined my life!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--895260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hey, Jonnathan. I noticed that you didn't participate much in class today and you seem really down. Is everything okay?\n[00:07 - 00:11] Speaker B: Yeah, I'm fine. I just don't feel like doing anything lately.\n[00:12 - 00:26] Speaker A: Well, I think you should try new things to get out of your funk. Maybe there's something you've been wanting to do but were too scared to take the first step or commit to it because you're worried about failing or not being good enough right away.\n[00:19 - 00:25] Speaker B: Actually, I have been thinking about learning to play the guitar, but I'm not sure if I have the time or the talent for it.\n[00:26 - 00:43] Speaker A: That's a great idea! Learning an instrument can be really fulfilling. And about the time, you can always start small. Just a few minutes a day can make a difference. But I was going to say, if you don't like it, you can always stop. But at least you would have tried something new and expanded your horizons a little bit.\n[00:44 - 00:47] Speaker B: Alright, I'll try it. Thanks, Cesar."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--28408.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi! How are you today?\n[00:02 - 00:04] Speaker B: I'm doing well, thank you. How are you?\n[00:04 - 00:08] Speaker A: I'm doing great, thanks for asking. What can I do for you?\n[00:08 - 00:13] Speaker B: Well, I was wondering if you had any advice on how to handle a difficult professor.\n[00:13 - 00:27] Speaker A: Absolutely. I'm happy to help. Can you tell me a little bit more about the specific issues you're facing with him, including how his behavior affects your learning and what approaches you've already tried to resolve the situation?\n[00:18 - 00:24] Speaker B: Sorry to jump in, but he's really hard to understand and he's always changing his mind about things. It's really frustrating.\n[00:25 - 00:28] Speaker A: Yeah, that sounds tough. Have you tried talking to him about it?\n[00:29 - 00:35] Speaker B: Yeah, I've tried talking to him but it doesn't seem to help. He just gets angry and tells me I'm not doing it right.\n[00:35 - 00:52] Speaker A: Hmm... well, have you tried emailing him or setting up a meeting outside of class? Sometimes that can be helpful in getting a better understanding of  his expectations and finding a way to meet them through clear communication and establishing mutual understanding about course requirements.\n[00:53 - 00:58] Speaker B: I did, but it hasn't really helped either. He just gets annoyed and says I'm wasting his time.\n[00:58 - 01:10] Speaker A: Okay, well let me think for a minute... have you talked to any other students in the class? Maybe they've had similar experiences or might have some advice on how to deal with the situation.\n[01:11 - 01:16] Speaker B: Yeah, I've talked to some other students but nobody seems to be having the same problem as me so I don't know what else to do...\n[01:17 - 01:21] Speaker A: Well, let me see if I can find something in our resources that might be helpful..."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1050248.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Dad, I just got a call from Grandma. She said that Grandpa passed away. I'm so sorry.\n[00:06 - 00:17] Speaker B: Oh, Draya. I'm so sorry to hear that. Your grandfather was a great man. He will be deeply missed by everyone who knew him for his kindness, wisdom, and the way he always made people feel welcome in his home.\n[00:12 - 00:17] Speaker A: I know. It's just hard to believe he's gone. I feel like I'm in shock right now.\n[00:17 - 00:34] Speaker B: It's perfectly normal to feel that way, son. This is a lot of news to take in all at once and it's going to take some time to process it all properly. Just try and take things one step at a time and lean on us for support, okay? We're here for you no matter what you need, whether it's someone to talk to or just a quiet moment together.\n[00:34 - 00:38] Speaker A: Yeah. Thanks, Dad. I appreciate that.\n[00:38 - 00:40] Speaker B: Of course, son. That's what family is for."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--720445.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, Mom. I know I haven't called in a while, but I need to talk to you about something.\n[00:06 - 00:09] Speaker B: Braden! It's so good to hear from you. What's going on?\n[00:09 - 00:21] Speaker A: Things have just been really tough lately. I don't know if I can keep going like this, and I feel like I'm stuck in a never-ending cycle of stress and self-doubt that's making it impossible to focus on my studies.\n[00:14 - 00:18] Speaker B: Wait, what do you mean by \"tough\"? Is it school, work, or something else?\n[00:19 - 00:28] Speaker A: It's just school. Everything is so hard and I feel like I'm never going to catch up. And now with finals coming up, I don't know how I'm going to make it through.\n[00:28 - 00:44] Speaker B: Braden, listen to me. You are not a quitter and you are not going to give up on yourself. You've worked too hard for that. Your dad may be disappointed if you quit, but he would be even more disappointed if you gave up on yourself because he knows how much potential you have and how far you can go with your determination.\n[00:45 - 00:51] Speaker A: But what if I don't have as much potential as everyone thinks? What if I'm just not cut out for this?\n[00:51 - 01:02] Speaker B: I know it does, baby, but you have to be strong. You can do this. I believe in you  more than you believe in yourself right now, and I know you'll look back on this moment as just a temporary setback in your journey to success.\n[01:03 - 01:06] Speaker A: Thanks, Mom. Just talking to you makes me feel better.\n[01:06 - 01:10] Speaker B: That's what mothers are for. Now, tell me what else is going on in your life."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--636981.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: I don't know, I just feel like something is off, like there's a piece of the puzzle that we're not seeing and it's making me increasingly uneasy the more I think about it.\n[00:02 - 00:07] Speaker B: What do you mean? Are you sensing something specific or is it just a general feeling?\n[00:07 - 00:11] Speaker A: I don't know, I just have a bad feeling about this whole situation.\n[00:12 - 00:16] Speaker B: Do you want to talk about it? Maybe we can figure out what's bothering you.\n[00:16 - 00:24] Speaker A: I'm not sure. I just feel like there's something we're overlooking, something that could change everything if we realized it.\n[00:24 - 00:29] Speaker B: Something we're missing? Like a detail we overlooked or something more significant?\n[00:29 - 00:33] Speaker A: Yeah, exactly. But whatever it is, it's not good.\n[00:34 - 00:37] Speaker B: Why do you say that? Is there something that happened recently that triggered this feeling?\n[00:38 - 00:44] Speaker A: Because everything is just too perfect. It's like we're being set up for something, but I don't know what.\n[00:44 - 00:50] Speaker B: That does seem suspicious. But maybe we're just overthinking things, or is there something specific that makes you feel this way?\n[00:50 - 00:54] Speaker A: Maybe...I don't know, I just can't shake this feeling."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--891432.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Hey, Cherish. I'm starting to work on a new project and I could really use some help. Would you be interested in lending a hand?\n[00:08 - 00:10] Speaker B: Sure, Seneca. What's the project?\n[00:11 - 00:31] Speaker A: It's a bit complicated, but essentially I'm trying to create a detailed map of the world. Every country, every city, every landmark...I want to include it and make it interactive so users can explore different regions with ease while also incorporating real-time data updates and customizable layers for different types of travelers and researchers.\n[00:21 - 00:26] Speaker B: Sorry to jump in, but how are you planning to gather all that information? It sounds like a massive undertaking.\n[00:27 - 00:48] Speaker A: You're right, it is. I was thinking of using a combination of online resources and some specialized databases. But I haven't mentioned the tools I need yet. It's going to be a lot of work, but I think it will be really cool once it's finished. We might need to use some advanced GIS software and perhaps even some AI tools to process the data efficiently.\n[00:49 - 00:57] Speaker B: That does sound like a lot of work. But if you're up for it, I'm happy to help out however I can. What kind of tools are you thinking of using exactly?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--527126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: What the hell did you do to my car?\n[00:02 - 00:04] Speaker B: I don't know what you're talking about.\n[00:04 - 00:08] Speaker A: Don't play dumb with me! I saw you spray painting it!\n[00:08 - 00:11] Speaker B: So what if I did? It's not like it's a big deal.\n[00:12 - 00:18] Speaker A: Are you kidding me? This is a brand new car! I just got it last week and now it's ruined because of you!\n[00:19 - 00:23] Speaker B: Well, maybe if you hadn't been such a jerk, I wouldn't have done it in the first place.\n[00:24 - 00:26] Speaker A: Oh, so this is my fault?\n[00:27 - 00:35] Speaker B: Yes, it is! You've been nothing but a jerk to me ever since we started working on that group project together and constantly undermining my ideas while taking credit for my work.\n[00:30 - 00:37] Speaker A: Wait, can you explain what exactly I did to make you feel this way? I thought we were getting along fine.\n[00:37 - 00:42] Speaker B: No, you haven't! You've always treated me like I'm inferior to you and I'm tired of it!\n[00:42 - 00:52] Speaker A: Well, maybe if you actually tried doing something with your life instead of sitting around all day playing video games, you wouldn't be such a disappointment to everyone around you.\n[00:52 - 00:59] Speaker B: Hold on, that's not fair. You know I've been looking for a job and trying to improve my skills. Why are you bringing this up now?\n[00:59 - 01:04] Speaker A: And maybe if you weren't such a stuck up snob, you might actually have some friends!\n[01:04 - 01:07] Speaker B: Screw you! I don't need friends like you anyway!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--302689.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Why can't I go to the party? All my friends will be there and I'll be left out if I don't get to spend time with them and experience all the fun memories they'll be making together. It's really important to me.\n[00:04 - 00:11] Speaker B: Corey, it's not just about missing out. You know the rule. No parties on school nights. You can go to the next one on the weekend.\n[00:12 - 00:24] Speaker A: That's not fair! Everyone else gets to go and I have to stay home by myself. It  feels like I'm always the one missing out on fun things because of these strict rules that none of my other friends have to follow.\n[00:24 - 00:31] Speaker B: I get that it feels unfair, but yelling and breaking things isn't going to change my mind. You need to calm down and respect my decision.\n[00:32 - 00:34] Speaker A: Fine, I'll just go by myself then!\n[00:34 - 00:37] Speaker B: Corey, you know that's not an option.\n[00:37 - 00:40] Speaker A: Then I don't know what to do! This is so unfair.\n[00:41 - 00:47] Speaker B: Why don't you see if one of your friends can come over and keep you company? I'm sure they would understand if you explained the situation to them.\n[00:48 - 00:51] Speaker A: I guess that could work. But I'm still not happy about it.\n[00:52 - 00:58] Speaker B: I understand. Maybe we can do something special together tomorrow night after homework is done? Would that make you feel better?\n[00:58 - 01:02] Speaker A: Yeah, that might help a little bit. Thanks, mom.\n[01:02 - 01:04] Speaker B: Of course, sweetie."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1186756.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Joe. I wanted to talk to you about something.\n[00:03 - 00:04] Speaker B: What's up?\n[00:04 - 00:18] Speaker A: I've been thinking about becoming a professional boxer and I've already started researching training programs and nutrition plans to get myself in peak physical condition for the ring. I know it sounds crazy, but I've been really inspired lately.\n[00:06 - 00:09] Speaker B: Wait, are you serious? Have you been boxing before?\n[00:10 - 00:14] Speaker A: No, but I've always wanted to try it. And I think I'm pretty good at it.\n[00:14 - 00:30] Speaker B: It's not just about being good at it. Boxing is a really tough sport. It takes a lot of dedication and discipline. Are you sure you're ready  to commit to the intense training and lifestyle changes that come with it, including early morning workouts, strict dieting, and potentially dangerous sparring sessions?\n[00:30 - 00:35] Speaker A: I know it's tough, but I'm ready for the challenge. I'm willing to put in the work.\n[00:36 - 00:41] Speaker B: Okay, well let me know if you change your mind. In the meantime, I'll start teaching you some basics."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--928982.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Elena, I know you killed my brother.\n[00:02 - 00:11] Speaker B: What? No, I didn't. I don't know what you're talking about. I would never do something like that to someone I cared about, especially not your brother who meant everything to me.\n[00:06 - 00:10] Speaker A: Stop lying, Elena! I found out that you were the one who killed him.\n[00:10 - 00:13] Speaker B: How could you say that? I loved your brother. I would never hurt him.\n[00:14 - 00:16] Speaker A: Then why did you do it? Why did you kill him?\n[00:17 - 00:28] Speaker B: I don't know...I don't know why I did it. It was like something took over me and I just couldn't  control myself no matter how hard I tried to stop, as if some dark force was controlling my actions against my will.\n[00:29 - 00:35] Speaker A: Couldn't help yourself? That's not good enough, Elena. You need to give me a better explanation than that.\n[00:35 - 00:39] Speaker B: Eliah, please forgive me. I am so sorry for what I've done.\n[00:39 - 00:43] Speaker A: I can't just forgive you, Elena. You need to pay for what you've done.\n[00:43 - 00:48] Speaker B: I know. I am willing to do anything to make up for it. Just please, Eliah, forgive me.\n[00:48 - 00:52] Speaker A: I don't know if I can ever forgive you, Elena, but I will try."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--609826.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Eriq, I need your help.\n[00:02 - 00:03] Speaker B: What is it?\n[00:04 - 00:21] Speaker A: I'm trying to convince the school board to approve my proposal for a new after-school program, but I'm having trouble getting enough support from the parents and teachers, which is crucial for the board's decision because without their backing, the program won't have the necessary participation to justify its implementation.\n[00:11 - 00:15] Speaker B: Do you think it's because of budget concerns? I know they've been tight with funds lately.\n[00:16 - 00:36] Speaker A: That could be part of it, but I think it's more about them not fully understanding the impact this program could have. That's why I really need your help. You're good at convincing people. You always know what to say and how to say it. If you could just talk to the school board members and convince them to support my proposal, I know we could make this happen.\n[00:36 - 00:55] Speaker B: Lizabeth, I don't know if I can do it alone, but I can definitely try to get a better sense of their concerns and see if we can address them together by  organizing a series of meetings where we can present detailed case studies of similar successful programs and demonstrate how this initiative would benefit our community in both the short and long term.\n[00:56 - 01:05] Speaker A: Eriq, please. This is important to me. And I really believe in this project. I know we can make a difference if we can just get it off the ground.\n[01:05 - 01:14] Speaker B: Alright, Lizabeth. I'll help you out. But let me talk to them first and see what they're thinking. Maybe there's something we're not seeing here that we can address in our proposal."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--766305.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, what's the verdict?\n[00:01 - 00:20] Speaker B: Well, overall, your health is good. Your blood work looks great and your physical exam was normal. However, we did find something abnormal on your mammogram. There's a mass in your left breast that we're going to need to investigate further with additional tests including an ultrasound and possibly an MRI to get a clearer picture of what we're dealing with.\n[00:13 - 00:14] Speaker A: What does that mean?\n[00:14 - 00:19] Speaker B: It could be benign or it could be cancerous. We'll need to do a biopsy to know for sure.\n[00:19 - 00:27] Speaker A: Before we discuss the next step, I just want to express how anxious I am about this. How soon can we get the biopsy done?\n[00:27 - 00:38] Speaker B: We'll schedule you for a biopsy as soon as possible. After we get the results back, we'll know more about what treatment options are available and develop a comprehensive care plan tailored to your specific needs."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--836452.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Sarah. What's up?\n[00:02 - 00:04] Speaker B: Not much. Just hanging out at home.\n[00:04 - 00:17] Speaker A: That sounds nice. I wish I could relax like that, but I've been feeling really stressed lately because of all the deadlines at work and personal commitments that just keep piling up without any relief in sight.\n[00:10 - 00:14] Speaker B: Yeah, I can imagine. What's been on your mind lately? Is it work or something else?\n[00:15 - 00:24] Speaker A: Sorry, I just needed to get this off my chest—it's everything. My job, my family, my relationships. Everything feels like it's piling up and I can't keep up.\n[00:25 - 00:29] Speaker B: That does sound really tough. I'm here for you, though. What can I do to help?\n[00:29 - 00:33] Speaker A: Just talking to you is helping already. Thank you for being here for me.\n[00:34 - 00:39] Speaker B: Of course, anytime. And hey, if you ever need to vent or just need a distraction, you know where to find me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--640494.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: This is a beautiful view.\n[00:01 - 00:04] Speaker B: It's one of my favorite things about living here.\n[00:04 - 00:13] Speaker A: I can see why. It's so peaceful and calming, especially in the evenings when the sun sets over the mountains and paints the sky in shades of orange and pink.\n[00:07 - 00:11] Speaker B: Sorry to cut in, but do you ever feel lonely being out here by yourself?\n[00:11 - 00:21] Speaker A: Sometimes, yes. But I needed a break from the city life, especially after my husband passed away. It's been about 5 years now since I moved here.\n[00:22 - 00:23] Speaker B: I'm sorry to hear that.\n[00:23 - 00:33] Speaker A: Thank you. It was a tough time, but I'm grateful for the peace and quiet of this place. It really helped me find some inner peace and come to terms with everything.\n[00:33 - 00:38] Speaker B: It must have been a big change, moving here after such a loss. How did you manage?\n[00:38 - 00:44] Speaker A: It was definitely an adjustment, but the tranquility here has been healing. I'm slowly getting there."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--218430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Wow, the leaves are really beautiful this year, aren't they?\n[00:03 - 00:15] Speaker B: Yes, they are. It's amazing how vibrant the colors they seem to be this season, almost as if the trees are putting on a special show just for us with their brilliant reds, oranges, and yellows that seem to dance in the sunlight.\n[00:06 - 00:14] Speaker A: Sorry to interrupt, but do you think the weather this year had something to do with it? It feels like it's been different compared to last year.\n[00:14 - 00:21] Speaker B: You might be right. The weather has definitely been more unpredictable. I was going to say that the colors are almost like they're glowing.\n[00:22 - 00:26] Speaker A: I know! It's almost like they're trying to outdo each other.\n[00:26 - 00:29] Speaker B: Yeah, it's like they're competing to see who can be the most beautiful.\n[00:30 - 00:34] Speaker A: That's a good way to put it. I've never seen anything like it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--254497.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: Mom, I'm so excited! I can't believe I won the award for outstanding performance in school. It feels like all the hard work finally paid off and I'm really proud to have been recognized by my teachers for my dedication and consistent effort throughout the year.\n[00:05 - 00:09] Speaker B: That's amazing, Dua! But wait, did you say there was a cash award? How much did you win?\n[00:10 - 00:21] Speaker A: Oh, I haven't mentioned the amount yet. It's $200. I was thinking maybe I could buy a new bike or put it towards a new computer. But I wanted to talk to you about it first.\n[00:22 - 00:32] Speaker B: $200 is a nice sum! A new computer could be really useful for your studies. But before we decide, have you thought about any other options, like saving some of it for the future?\n[00:32 - 00:41] Speaker A: That's a good point, Mom. I was so focused on the bike and computer that I didn't consider saving. Maybe we could figure out a way to balance all three?\n[00:41 - 00:46] Speaker B: Absolutely, let's sit down and figure out what would be the best way to spend the money."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--290375.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: I was playing on the monkey bars and I got tangled in the rope. I fell and got a bruise on my arm, but it's not too bad. The rope twisted around my wrist and I lost my grip before landing awkwardly on the playground mulch.\n[00:06 - 00:09] Speaker B: Oh no, that sounds like it hurts. Did you fall from a high place?\n[00:10 - 00:14] Speaker A: It wasn't that high. I fell and got a bruise on my leg.\n[00:14 - 00:17] Speaker B: Are you sure? Let me see your leg.\n[00:17 - 00:18] Speaker A: Mom, I'm fine!\n[00:19 - 00:21] Speaker B: Madalyn, please let me see your leg.\n[00:21 - 00:22] Speaker A: Fine!\n[00:22 - 00:24] Speaker B: See? It's not that bad.\n[00:25 - 00:29] Speaker A: That looks pretty bad, sweetie. We should put some ice on it to help with the swelling.\n[00:30 - 00:32] Speaker B: But mom, it doesn't even hurt that much!\n[00:32 - 00:39] Speaker A: That may be true, but ice will help prevent the bruise from getting worse. Trust me, I know what I'm talking about."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--980776.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how are you doing?\n[00:02 - 00:04] Speaker B: I'm doing fine, thank you. Eshaal, can I ask you something?\n[00:05 - 00:07] Speaker A: Of course. What's on your mind?\n[00:07 - 00:22] Speaker B: Well, I was wondering if you could help me understand something. I've been having a lot of trouble lately with feeling like I don't belong anywhere. Do you ever feel that no matter what I do, I just can't seem to find my place and it makes you question your value in different social circles and professional environments?\n[00:15 - 00:24] Speaker A: Sorry to interrupt, but I just wanted to say that I completely understand where you're coming from. It's a really common feeling, and you're not alone in this.\n[00:25 - 00:46] Speaker B: Yeah, I definitely know what you mean. It's tough when you feel like you're the odd one out and like nobody really gets you. But it's important to remember that everyone feels that way at times and that there is a place for everyone in this world. You just have to find where you fit  and sometimes it takes a bit of patience and exploration to get there while also being open to new experiences and perspectives that might surprise you.\n[00:46 - 00:54] Speaker A: I agree, but I was also going to ask if you've tried joining any new groups or activities that might help you meet people with similar interests."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--463322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, I've been trying to call you for days.\n[00:02 - 00:05] Speaker B: Hey, sorry, I've been really busy. What's up?\n[00:05 - 00:15] Speaker A: I just wanted to talk to you about something that's been on my mind lately regarding my career path and personal growth, and I really value your perspective on these matters.\n[00:07 - 00:11] Speaker B: Wait, before you continue, is everything okay? You sound a bit off.\n[00:12 - 00:16] Speaker A: It's just that I'm feeling really down lately and I needed someone to talk to.\n[00:17 - 00:20] Speaker B: Of course, Spencer. I'm always here for you. What's going on?\n[00:21 - 00:28] Speaker A: It's just that life feels really overwhelming lately. I don't know how to make it any better or where to even start.\n[00:28 - 00:33] Speaker B: Overwhelming? Do you mean work, personal stuff, or just everything in general?\n[00:33 - 00:38] Speaker A: A bit of everything, honestly. That's what's making it so hard to pinpoint what to do next.\n[00:39 - 00:43] Speaker B: That sounds tough. I'm here for you, though. We'll figure it out together, okay?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--536240.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, man. I haven't seen you in a while. How have you been?\n[00:03 - 00:13] Speaker B: It's been good. I've been keeping busy. You know how it goes, just trying to juggle everything at once while still making time for personal growth and maintaining some semblance of work-life balance.\n[00:06 - 00:10] Speaker A: Oh, busy, huh? What's been keeping you so occupied lately?\n[00:10 - 00:15] Speaker B: Just the usual stuff. You know, work and hanging out with friends. Nothing too exciting.\n[00:15 - 00:22] Speaker A: That sounds like fun. I wish I could say the same for myself. Things have been pretty boring lately.\n[00:22 - 00:27] Speaker B: Really? What's going on with you? Anything specific that's been dragging you down?\n[00:27 - 00:38] Speaker A: Yeah, it's just been the same routine every day. I'm stuck in a rut, you know? I feel like I'm doing the same things every day and I'm just not really sure what to do with my life.\n[00:39 - 00:44] Speaker B: That sounds tough. I can't say that I know exactly what you're going through, but I understand how you feel.\n[00:44 - 00:52] Speaker A: Thanks. It's just been really hard lately. Trying to figure out what I want to do with my life and where I want to go from here.\n[00:52 - 00:56] Speaker B: Have you talked to anyone about it? A counselor or therapist or anything?\n[00:57 - 01:01] Speaker A: No, not yet. But maybe that's something I should look into.\n[01:01 - 01:09] Speaker B: Yeah, definitely. Sometimes it helps to talk to someone who can offer some unbiased perspective and help you figure out a game plan."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1097788.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Mom. I need to talk to you about something.\n[00:03 - 00:05] Speaker B: What is it, Anniston? You seem upset.\n[00:06 - 00:19] Speaker A: I am. I got caught in a lie and I feel really embarrassed and ashamed because I know I shouldn't have lied in the first place, especially to people who care about me and trust me to be honest with them.\n[00:11 - 00:13] Speaker B: Oh no, what happened? What did you lie about?\n[00:14 - 00:29] Speaker A: Well, my friends were asking me about my weekend and I lied and said that I went shopping with Grandma when really I just stayed home by myself because I didn't want to go out with them. But then they found out and now everyone knows and I don't know how to face them again.\n[00:29 - 00:48] Speaker B: That must be really tough for you, Anniston. Lying is never a good solution, but sometimes we all do it out of fear or insecurity. The important thing is that you learn from this experience and try not to do it again in the\n[00:49 - 00:56] Speaker A: I know, Mom, but it's just so hard right now because I feel like everyone is looking at me differently and judging me.\n[00:57 - 01:17] Speaker B: People make mistakes, Anniston. They're not perfect like you are (joking). Everyone makes them — even your friends and family members have probably lied before too (noticing her daughter's doubtful expression). The difference is that they're probably better at hiding it than you are (chuckling). Just try to remember that everyone messes up sometimes — even grownups — and that it doesn't define who you are as a person."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--90720.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: Look, I know that I messed up. I was caught with heroin and I'm facing some serious charges. But, I really need your help to find a way out of this because I'm terrified of what might happen if I don't get proper legal representation and support during this difficult time.\n[00:08 - 00:18] Speaker B: Aadya, we've been over this already. The evidence against you is pretty damning. Plus, you have a history of drug use. I don't think there's much that can be done to help you at this point.\n[00:18 - 00:21] Speaker A: But you're my lawyer! You're supposed to help me!\n[00:21 - 00:33] Speaker B: Aadya, I'm doing everything that I can. But, realistically, the chances of you getting out of this are pretty slim. You need to prepare yourself for the possibility of a conviction and think about how you'll handle it.\n[00:34 - 00:38] Speaker A: But I can't go to prison! I'll lose my job, my apartment, everything!\n[00:38 - 00:43] Speaker B: Aadya, you need to calm down. Getting upset isn't going to help anything.\n[00:43 - 00:48] Speaker A: Fine. But, you have to promise me that you'll do everything you can to help me.\n[00:48 - 00:49] Speaker B: I promise."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--715956.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, have you seen that new video of the cat riding a bike?\n[00:04 - 00:07] Speaker B: No, I haven't! Let me check it out real quick.\n[00:07 - 00:13] Speaker A: Sorry to interrupt, but is this the same video you mentioned last week, or is it a new one?\n[00:13 - 00:16] Speaker B: It's a new one! Let me just pull it up real quick.\n[00:16 - 00:19] Speaker A: Oh my goodness, that is the cutest thing I've ever seen!\n[00:20 - 00:29] Speaker B: I know, right? And wait until you see the part where he does a flip off the ramp with perfect timing and lands gracefully on all four paws like a professional stunt performer.\n[00:23 - 00:27] Speaker A: A flip? How did they even manage to train a cat to do that?\n[00:28 - 00:35] Speaker B: They probably just trained him or something. But editing this video was really fun. I added some sound effects and made it into a gif too.\n[00:36 - 00:40] Speaker A: You're really good at editing videos! You should make a career out of it!\n[00:40 - 00:45] Speaker B: Yeah, I've been thinking about it. It's just so hard to find a job in that field.\n[00:45 - 00:51] Speaker A: Well, if you keep practicing and getting better, I'm sure you'll find something eventually."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--676747.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Mom. I'm home from school.\n[00:02 - 00:05] Speaker B: Hi, Bennett. How was your day?\n[00:05 - 00:17] Speaker A: It was okay. I got in a little trouble at school, but nothing serious, I promise. Just a minor misunderstanding with a teacher about hall passes that got blown out of proportion.\n[00:09 - 00:11] Speaker B: What kind of trouble? You know you can tell me.\n[00:12 - 00:24] Speaker A: Well, I was walking in the hall and one of the teachers saw me. She started yelling at me for being out of class and told me to go to the office. But I didn't want to get into more trouble, so I snuck out of the school instead.\n[00:25 - 00:39] Speaker B: Bennett, you know you're not supposed to be out of class or leave school without permission. You could get into a lot of trouble if you're"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--146504.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi! I'd like to purchase this CD please.\n[00:03 - 00:05] Speaker B: That will be $12.99.\n[00:05 - 00:16] Speaker A: OK, here you go. I was wondering if you could tell me more about the artist since I'm new to their music and would love to learn about their musical style and influences.\n[00:07 - 00:12] Speaker B: Sorry to interrupt, but do you have a membership card? You might get a discount.\n[00:12 - 00:19] Speaker A: Oh, I didn't know that. I don't have one right now, but I'll consider getting one next time. Here you go.\n[00:19 - 00:20] Speaker B: Thank you!\n[00:20 - 00:23] Speaker A: Thanks! I can't wait to get home and listen to it.\n[00:23 - 00:29] Speaker B: Just a quick reminder, make sure to keep your receipt in case you need to return or exchange the CD.\n[00:29 - 00:34] Speaker A: Oh, good point! I'll keep it safe. I can't wait to get home and listen to it.\n[00:34 - 00:35] Speaker B: Have a great day!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--58019.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey guys, what's up?\n[00:01 - 00:04] Speaker B: Hey! We were just talking about the latest gossip.\n[00:05 - 00:06] Speaker A: Oh, what happened?\n[00:06 - 00:16] Speaker B: Well, it turns out that Sarah was cheating on her boyfriend with his best friend from college, and they've apparently been secretly seeing each other for months behind everyone's backs. Can you believe it?\n[00:10 - 00:17] Speaker A: Wait, are you serious? With his best friend? That's just... How did people even find out?\n[00:18 - 00:27] Speaker B: Yeah, it's true. Apparently, someone saw them together and word got around quickly. And now, Sarah is a total outcast. Everyone is talking about her behind her back.\n[00:27 - 00:30] Speaker A: Wow, that's really sad. I feel bad for her.\n[00:31 - 00:32] Speaker B: Yeah, it's pretty messed up."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--874990.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, man. How's it going?\n[00:02 - 00:04] Speaker B: Not too bad. How's the new book coming along?\n[00:04 - 00:19] Speaker A: It's coming along alright. I've made some changes to the story and I'm hoping that readers will find it more engaging this time around with the new character arcs and plot twists that really dive deeper into their motivations and backstories.\n[00:10 - 00:14] Speaker B: What kind of changes did you make? Are they major plot shifts or just minor adjustments?\n[00:15 - 00:32] Speaker A: A bit of both, actually. I wanted to add more depth to the characters, but also tweak the pacing to keep the readers more engaged. The first edition didn't do too well, so I'm hoping that this one will resonate better with the audience and maybe even attract some new readers.\n[00:33 - 00:38] Speaker B: Oh, I see. Do you think the new pacing will make a big difference in how readers connect with the story?\n[00:38 - 00:45] Speaker A: Definitely. I believe it will help keep the readers hooked throughout. I really hope this version will be more successful.\n[00:45 - 00:49] Speaker B: I'm sure it will be. You're a great writer and I know that your fans will love the new book.\n[00:50 - 00:52] Speaker A: Thanks, man. I appreciate your support."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--757426.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Imanol, I'm so excited for this concert!\n[00:03 - 00:13] Speaker B: Me too, I can't believe we're finally going to see them after all these years of waiting and I'm especially looking forward to experiencing their incredible stage presence and energy live for the first time.\n[00:06 - 00:10] Speaker A: Right? It's been way too long since we've seen them last.\n[00:10 - 00:15] Speaker B: I know! And I really hope they play our favorite song. Do you think they'll start with it?\n[00:15 - 00:22] Speaker A: Maybe, but even if they don't, we've waited so long for this moment. It's going to be amazing either way.\n[00:22 - 00:27] Speaker B: And it's finally here! I can't wait to sing along to all of our favorite songs.\n[00:27 - 00:35] Speaker A: Me too! I really hope we get to hear them play our favorite song. But honestly, just being there after all this time will be incredible."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--743500.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Thank you so much for promoting me to head cashier, boss. I really appreciate it.\n[00:05 - 00:20] Speaker B: Don't thank me, Aleeyah. Thank yourself. You've been working hard and doing a great job ever since you started here. We just wanted to recognize your efforts and give you more opportunities to grow within the company by taking on leadership roles and developing your management skills through various training programs we offer.\n[00:13 - 00:23] Speaker A: Speaking of responsibility, I was wondering if there are any specific areas you'd like me to focus on first? I want to make sure I'm prioritizing the right tasks.\n[00:23 - 00:41] Speaker B: That's a great question. One area that could use some immediate attention is the scheduling. We've had a few issues with shifts overlapping or not being covered, so if you could  review the current schedule and make adjustments where necessary while also considering employee availability and business peak hours to optimize our staffing efficiency.\n[00:41 - 00:51] Speaker A: Absolutely, I can start working on the schedule right away. I'll also keep an eye on the cash flow since that's crucial for daily operations."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--595180.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Mom. I wrote a letter to Santa and he wrote back!\n[00:04 - 00:12] Speaker B: Oh, that's so exciting! What did he say in his letter? Did he mention anything about checking his list twice or comment on how well you've been behaving this year?\n[00:06 - 00:09] Speaker A: He said he would try to come on Christmas Eve!\n[00:09 - 00:11] Speaker B: Wow, that's amazing! Have you been good this year?\n[00:12 - 00:17] Speaker A: I think so. I've tried to be extra kind to everyone and help out around the house.\n[00:17 - 00:23] Speaker B: You know, if there's anything you think you could do better, now's the time to make sure Santa knows you're really trying!\n[00:23 - 00:26] Speaker A: I hope so. I really want to see him this year!\n[00:27 - 00:32] Speaker B: I'm sure you will, sweetie. Just keep being good and I'm sure he'll come visit you on Christmas Eve."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--908191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, tell me more about your language. It's really fascinating.\n[00:04 - 00:17] Speaker B: Well, it's actually quite a simple system of sounds and gestures that we use to communicate more efficiently in situations where verbal communication might be difficult, such as in noisy environments or when precise coordination is required between team members.\n[00:08 - 00:13] Speaker A: Sorry to jump in, but do you find that it's easier to learn than traditional languages?\n[00:14 - 00:29] Speaker B: Definitely, it's much more intuitive. I was about to say that it helps me communicate more effectively with people now who might have different linguistic backgrounds or even hearing impairments, as the system relies on universal concepts rather than specific vocabulary or grammar rules.\n[00:29 - 00:34] Speaker A: And do you think this method could be adapted for others who struggle with traditional languages?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--601727.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: Hey, Mom. I was thinking that I'd like to help out more around the house. Do you have any ideas about what I could do to make things easier for you? Maybe I could take over some of the weekly chores or help with meal preparation on weekends when I'm not busy with schoolwork.\n[00:06 - 00:14] Speaker B: Oh, that's great, Elly! Before I suggest anything, I just want to say how much I appreciate you offering to help out. It means a lot.\n[00:14 - 00:17] Speaker A: Thanks, Mom! So, do you have any ideas?\n[00:17 - 00:20] Speaker B: Well, let's see. How about taking the dog for a walk?\n[00:20 - 00:24] Speaker A: Yeah, that sounds like fun! Thanks, Mom!\n[00:24 - 00:26] Speaker B: You're welcome, Elly. Have a great time!\n[00:26 - 00:28] Speaker A: So, Mom, how was your day?\n[00:29 - 00:38] Speaker B: It was good. I got a lot  of things crossed off my to-do list including organizing the garage and finally getting around to sorting through those old boxes we've been meaning to go through for months.\n[00:39 - 00:43] Speaker A: Did you manage to get everything on your list done? I know you had a lot planned.\n[00:44 - 00:51] Speaker B: I did! I went to the grocery store, ran some errands, and then came home and made dinner. It was a busy day, but it feels good to have everything done."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--795559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Mom, I really want to try out for the talent show. I know I can sing well and I would love to have the chance to share my gift with others. Can you please help me fill out the application?\n[00:11 - 00:27] Speaker B: Sure, Greyson. Let me see the application. (Greyson hands over the application and his mother starts filling it out.) So, what made you decide that you wanted to audition for the talent show? Was there something specific that inspired you, like seeing another performer or wanting to challenge yourself creatively?\n[00:21 - 00:33] Speaker A: Actually, I've always loved singing and performing in front of people. And I thought this would be a great opportunity to showcase my talent. Plus, it would be really cool to win first prize!\n[00:33 - 00:50] Speaker B: That's definitely a valid reason for wanting to audition. And I think you have a good shot at winning if you give it your best effort. Just make sure you practice a lot so you're fully prepared and confident when you step on stage, remembering to focus on your breathing techniques and maintaining good posture throughout your performance.\n[00:48 - 00:58] Speaker A: Oh, I will, Mom! I've already started practicing every day. I'm so excited for the audition! Thank you so much for helping me with the application.\n[00:58 - 01:00] Speaker B: You're welcome, Greyson. Good luck!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--13635.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey! I haven't seen you in forever. How was your summer?\n[00:03 - 00:17] Speaker B: It was good! I went to Europe with my family and then we traveled around different cities, trying out local cuisines and exploring historical sites that dated back hundreds of years, which really gave me a new appreciation for European culture and history.\n[00:07 - 00:11] Speaker A: Wow, Europe! That sounds amazing. Which countries did you visit?\n[00:12 - 00:18] Speaker B: We went to France, Italy, and Spain. It was incredible. But I was asking about your summer—what did you do?\n[00:18 - 00:28] Speaker A: I stayed home and worked, but it was still fun. I hung out with my friends and we went to the beach a lot. So, what classes are you taking this semester?\n[00:28 - 00:31] Speaker B: I'm taking English, Math, History, and Science. You?\n[00:31 - 00:49] Speaker A: Same here. Did you hear that there's a new professor teaching English this semester? Apparently he's really tough but he's supposed to  be very knowledgeable and passionate about the subject, with years of experience teaching at prestigious universities and publishing groundbreaking research in literary studies.\n[00:50 - 00:54] Speaker B: Oh, I heard about that! Do you think he'll give us a lot of assignments right off the bat?\n[00:55 - 01:01] Speaker A: Probably, but I'm more concerned about his grading style. I heard he's really strict.\n[01:01 - 01:05] Speaker B: Yeah, that makes me nervous too. But even if he is tough, we'll get through it together, right?\n[01:06 - 01:07] Speaker A: Right!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--468603.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I need a rifle.\n[00:01 - 00:02] Speaker B: What kind of rifle do you need?\n[00:03 - 00:06] Speaker A: I don't know. Something that will make me feel safe.\n[00:06 - 00:09] Speaker B: We have a lot of different rifles here. What is your budget?\n[00:10 - 00:12] Speaker A: I don't know. A hundred dollars?\n[00:13 - 00:17] Speaker B: We have some good options for under a hundred dollars. Do you want a semi-automatic or bolt action?\n[00:18 - 00:20] Speaker A: I don't know. What's the difference?\n[00:21 - 00:41] Speaker B: A semi-automatic rifle will fire one round per pull of the trigger, while a bolt action rifle requires you to manually chamber each round before firing. Semi-automatic rifles are generally more expensive, but they can be faster to shoot since you don't have to manually load each round and they allow for quicker follow-up shots in case you miss your target the first time.\n[00:35 - 00:39] Speaker A: Sorry to interrupt, but which type would be better for a beginner like me?\n[00:40 - 00:58] Speaker B: For a beginner, a semi-automatic might be easier to handle because you don't have to manually chamber each round. However, bolt action rifles can be more reliable and easier to maintain. I'll take a semi-automatic then  because I think it will be easier for me to use and I want something that's simple to operate when I'm feeling nervous or under pressure.\n[00:58 - 01:02] Speaker A: Oh, and what about the maintenance? Is it complicated?\n[01:03 - 01:15] Speaker B: Maintenance for a semi-automatic can be a bit more involved, but it's manageable with some basic knowledge. We have a few different options in your price range. This one is a good option. It's lightweight and easy to use.\n[01:15 - 01:17] Speaker A: Okay, I'll take it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--727552.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: Hey doc, I've been feeling really good lately. I've been losing weight, working out more, and eating healthier meals consisting of lean proteins, fresh vegetables, and whole grains, which I think has made a big difference in my overall well-being and mental clarity.\n[00:06 - 00:14] Speaker B: That's fantastic! Before you continue, I just want to ask—have you noticed any changes in your energy levels or sleep patterns since you started these new habits?\n[00:15 - 00:25] Speaker A: Actually, yes! My energy levels have gone up, and I've been sleeping better too. I feel like I'm finally getting my life back on track. I'm so much happier now.\n[00:25 - 00:34] Speaker B: Well, congratulations! You should be very proud of yourself. Making these changes can be difficult, but it sounds like you're doing a great job. Keep up the good work!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--727873.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Wow, this food is amazing! I'm so glad I decided to come here.\n[00:05 - 00:08] Speaker B: I know, right? It's one of my new favorite places.\n[00:08 - 00:10] Speaker A: Have you been coming here long?\n[00:10 - 00:23] Speaker B: Not too long. I just found out about it a few weeks ago from a friend. But I've been coming here pretty regularly ever since I first tried their pasta which has this incredible homemade sauce that's perfectly balanced between rich and light with just the right amount of herbs.\n[00:17 - 00:22] Speaker A: Oh, by the way, do they change their menu often, or is it usually the same?\n[00:23 - 00:33] Speaker B: They do have seasonal specials, but the main menu stays pretty consistent. I was saying, I've been coming here regularly ever since. It's definitely a hidden gem. But I'm glad we found it!\n[00:33 - 00:34] Speaker A: Yes, me too!\n[00:35 - 00:37] Speaker B: So, Sarah, what do you do for a living?\n[00:37 - 00:43] Speaker A: I'm a graphic designer. I work for a small company that focuses on branding and digital media.\n[00:43 - 00:49] Speaker B: Wait, are you the one who designed that logo for the new coffee shop downtown? It looks amazing!\n[00:49 - 01:02] Speaker A: No, that wasn't me, but thank you! I work for a small company downtown. It's definitely a lot of work, but it's also really rewarding. I love being able to create something that people can enjoy.\n[01:03 - 01:06] Speaker B: Yeah, I can imagine. It seems like it would be very creative and satisfying.\n[01:07 - 01:10] Speaker A: It definitely is. What about you? What do you do?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--571413.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi! How are you today?\n[00:02 - 00:04] Speaker B: I'm doing well, thank you. Yourself?\n[00:04 - 00:09] Speaker A: I'm great, thanks for asking. So, what brings you in today?\n[00:10 - 00:18] Speaker B: I'm just really stressed out and need to unwind and clear my mind after dealing with constant pressure at work and not having enough time for self-care activities.\n[00:12 - 00:17] Speaker A: Sorry to interrupt, but is there something specific that's been causing your stress lately?\n[00:17 - 00:23] Speaker B: It's mainly work-related deadlines and personal commitments piling up. I just need to relax.\n[00:23 - 00:31] Speaker A: That's perfectly understandable. Massage is a great way to help with that. Let me show you to your room and we'll get started.\n[00:31 - 00:32] Speaker B: That feels really good. Thank you.\n[00:33 - 00:44] Speaker A: You're welcome. Just try to relax and let me do the  massage techniques that will help alleviate your tension and improve circulation throughout your entire body while targeting specific pressure points.\n[00:45 - 00:50] Speaker B: Actually, I was wondering if you could focus a bit more on my shoulders. They've been particularly tense.\n[00:51 - 00:54] Speaker A: Of course, I'll pay extra attention to your shoulders."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--120698.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: I just don't know what to do. I've tried everything, and it's just not giving me the results I was hoping for despite putting in countless hours of effort and exploring every possible avenue I could think of.\n[00:04 - 00:07] Speaker B: What exactly have you tried? Maybe there's something we can build on.\n[00:08 - 00:15] Speaker A: I've tried doing research, brainstorming ideas, talking to other people about it... I just can't seem to come up with anything that works.\n[00:16 - 00:30] Speaker B: Hmm... well, maybe you're just approaching it from the wrong angle. Have you tried looking at it from a different  perspective, or maybe even getting some feedback from someone outside the team who might offer fresh insights and innovative solutions you haven't considered before?\n[00:30 - 00:34] Speaker A: Different angle? I don't know... I feel like I've tried everything.\n[00:35 - 00:40] Speaker B: Sometimes when we're stuck, we just need to take a step back and look at the bigger picture. Maybe there's something you're missing."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1123711.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, I saw that you were having some trouble with your math homework. Let me take a look.\n[00:05 - 00:07] Speaker B: Yeah, I can't seem to figure out this one problem.\n[00:08 - 00:10] Speaker A: Okay, let me see. What's the problem?\n[00:11 - 00:13] Speaker B: I don't know how to find the perimeter of this shape.\n[00:13 - 00:31] Speaker A: Well, the perimeter is just the distance around the outside of the shape. To find it, you just need to add up all of the side lengths that make up the shape, including any curves or irregular edges that might require special formulas or calculations depending on the complexity of the figure.\n[00:21 - 00:26] Speaker B: Wait, do I need to measure the sides first if they're not given, or is there another way to find the lengths?\n[00:27 - 00:36] Speaker A: You would need to measure them if they're not given. But I was going to say that sometimes the lengths are provided, and you just add them up. By the way, do you have a ruler handy?\n[00:37 - 00:38] Speaker B: Oh, I see. Thanks!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--690452.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: Father, I'm not afraid of you anymore. I've grown up and I can see things more clearly now. I know that you're not perfect, but that doesn't mean I have to carry the weight of your expectations on my shoulders anymore because I've learned to set my own boundaries and define my own path in life.\n[00:09 - 00:12] Speaker B: What has changed, Corie? Why are you no longer afraid of me?\n[00:12 - 00:27] Speaker A: I guess I just realized that I don't have to be scared of you. You're not perfect, but that's okay. You're still my father and I want to have a relationship with you that isn't based on fear, but on understanding and mutual respect.\n[00:27 - 00:35] Speaker B: Wait, Corie, before you finish, I just want to say how proud I am of you for coming to this realization. It takes a lot of strength to confront those feelings.\n[00:36 - 00:38] Speaker A: Thank you, Dad. I love you too."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--389182.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Mrs. Saunders, why do you think the viola is so often overlooked?\n[00:04 - 00:23] Speaker B: I think the viola is often overlooked because it doesn't have the same range as some of the other instruments in the orchestra. It can be difficult to make the viola sound good, so I think people are sometimes discouraged from investing the time to master it, especially when they compare it to more prominent instruments like the violin or cello that tend to get more solo opportunities.\n[00:15 - 00:17] Speaker A: But don't you think it's worth the challenge?\n[00:18 - 00:23] Speaker B: Absolutely! The viola is a beautiful instrument and I think it's well worth the effort to learn how to play it properly.\n[00:24 - 00:39] Speaker A: I'm glad you feel that way, because I really enjoy playing the viola. It's a lot of  fun and very rewarding when you finally master those challenging passages and can appreciate the rich, warm tones that make the viola so special in ensemble playing.\n[00:39 - 00:46] Speaker B: I'm thrilled to hear that! By the way, what pieces are you currently working on? I think you're doing a great job with it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--276032.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey there, officer. How's your day going?\n[00:02 - 00:07] Speaker B: Not too bad. Just doing my job and keeping the peace. What about you? What brings you out today?\n[00:07 - 00:24] Speaker A: I was just on my way home from work. I work down at the docks, so I usually take this route home. It's a bit of a shortcut, but it's always been pretty quiet around here, so I feel safe taking it even though some people say the neighborhood has been getting more dangerous lately.\n[00:17 - 00:23] Speaker B: Actually, I wanted to ask—how late do you usually work at the docks? We've noticed some increased activity in that area too.\n[00:24 - 00:31] Speaker A: I usually finish around 6 PM, but sometimes it can go later. Is there something specific happening around the docks?\n[00:32 - 00:43] Speaker B: Nothing concrete, just some reports of suspicious behavior. We're stepping up patrols in both areas, so just be sure to stay aware of your surroundings and report anything suspicious, okay?\n[00:43 - 00:46] Speaker A: Will do, officer. Thanks for looking out for us.\n[00:46 - 00:49] Speaker B: No problem. Just doing my job. Have a good night."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--418520.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: Wow, Mom, that's a really beautiful painting. I'm so happy you bought it. It makes the whole room look so much brighter and more vibrant, almost like the artist captured the essence of sunlight streaming through a stained glass window with their masterful use of color and texture.\n[00:07 - 00:13] Speaker B: Sorry to interrupt, but I just have to ask—where did you find it? I don't think I've seen anything like this around before.\n[00:13 - 00:18] Speaker A: I got it from a local art gallery. I thought it would be a nice addition to the living room.\n[00:19 - 00:23] Speaker B: It definitely is. I love the way the colors make the room feel so warm and inviting.\n[00:24 - 00:28] Speaker A: Yes, I agree. The artist did a really good job with that.\n[00:28 - 00:30] Speaker B: Do you know who the artist is?\n[00:30 - 00:35] Speaker A: No, I don't remember their name, but it's great to have something unique from a local gallery.\n[00:36 - 00:39] Speaker B: That's cool. I'm glad we have something like that nearby.\n[00:39 - 00:43] Speaker A: Me too. It's always nice to support local businesses."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--842885.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So what's up?\n[00:01 - 00:03] Speaker B: Not much, just hanging out. You?\n[00:03 - 00:19] Speaker A: Same here. Just taking everything in and trying to stay aware of my surroundings. There are a lot of people here and it can be a bit overwhelming when you're not used to it, especially with all the noise and constant movement that makes it hard to focus on any one thing.\n[00:11 - 00:17] Speaker B: Overwhelming sometimes, right? I totally get that. Especially when you're in a place with so many unfamiliar faces.\n[00:17 - 00:29] Speaker A: Yeah, I know what you mean. It's important to be aware of your surroundings at all times, especially in crowded places like this. You never know when something could go wrong, and it's better to be safe than sorry.\n[00:29 - 00:38] Speaker B: Happen, exactly. That's why I always try to scan the room and take note of everyone present. It helps me feel more comfortable and prepared if anything were to happen.\n[00:38 - 00:44] Speaker A: Well, you're definitely the most prepared person I know! Thanks for always looking out for me, Koby."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--303363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I can't believe we're doing this! We're finally getting out of this small town.\n[00:04 - 00:14] Speaker B: I know, I can't believe it either. We've been planning this for so long, and now it's actually happening. All those late-night conversations and saved-up money are finally paying off in this moment of freedom.\n[00:08 - 00:16] Speaker A: I know! It feels like we've been waiting forever. I'm just so excited to finally be leaving. This town has nothing for us.\n[00:16 - 00:20] Speaker B: I know, me too. I can't wait to see the world and experience new things.\n[00:21 - 00:24] Speaker A: But are you sure you're ready for this? It's a big step.\n[00:25 - 00:37] Speaker B: Of course I am! I've been waiting for this my whole life. Besides, what choice do we have? We can't stay here\n[00:37 - 00:43] Speaker A: I agree, but leaving everything we know behind... it's still scary, isn't it?\n[00:43 - 00:48] Speaker B: Don't worry, Tiana. I'll be with you every step of the way. We'll make it through anything together, just like we always have."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--836740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Romina. I wanted to talk to you about something.\n[00:04 - 00:04] Speaker B: Sure, what's up?\n[00:05 - 00:09] Speaker A: I'm having a really tough time right now and I could really use a friend.\n[00:10 - 00:13] Speaker B: Of course, Trevin. I'm here for you. What's going on?\n[00:13 - 00:27] Speaker A: It's just that everything seems so overwhelming right now. I don't know how to handle everything that's happening in my life, and I feel like I'm losing control while trying to balance school, family responsibilities, and my own mental health.\n[00:18 - 00:22] Speaker B: Overwhelming? I'm really sorry to hear that. Is there something specific that's been weighing on you?\n[00:22 - 00:45] Speaker A: Yeah, I think that would help. It's just been really hard lately. My mom is sick and she's been in the hospital for a while. My dad is working all the time to try and pay the bills, but we're still struggling financially. And on top of all that, my little sister is acting out at school and giving my parents a hard time. It feels like everything is falling apart and I don't know how to fix it.\n[00:46 - 01:04] Speaker B: Wow, that sounds really tough, Trevin. You are carrying a lot on your shoulders right now. But you are not alone; we are here for you too, okay? Let's brainstorm some solutions together and see if we can  find a way to lighten your load, even if it's just a little by creating a support system and prioritizing the most urgent issues first.\n[01:04 - 01:13] Speaker A: Actually, Romina, before we brainstorm, do you think I should talk to my parents about how I'm feeling? I haven't really opened up to them yet.\n[01:14 - 01:20] Speaker B: I get that, but they need to know what's going on with you so they can help too. Why don't we call them right now and tell them we're here for you?\n[01:21 - 01:25] Speaker A: Yeah, that might be a good idea. Thanks for being here for me, Romina."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--214477.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Now, you listen to me. I want you to promise me that you'll never go near that house because it's dangerous and I don't want anything to happen to you, especially after what happened to the Johnson boy last summer when he wandered too close.\n[00:04 - 00:05] Speaker B: But Agustin-\n[00:06 - 00:07] Speaker A: No, Scout. Promise me.\n[00:08 - 00:09] Speaker B: I promise.\n[00:09 - 00:12] Speaker A: Good. Now, what were you doing over there?\n[00:12 - 00:13] Speaker B: Just lookin'.\n[00:13 - 00:15] Speaker A: What were you looking for?\n[00:15 - 00:16] Speaker B: Nothin'.\n[00:16 - 00:25] Speaker A: Then why were you  risking it if you weren't looking for anything specific, especially when you know how strict the rules are about trespassing in that part of town?\n[00:25 - 00:31] Speaker B: Actually, I was just curious. There's something about that place that makes me want to understand it better.\n[00:32 - 00:38] Speaker A: I understand curiosity, but it's not safe. So, why were you looking if there was nothing to find?\n[00:39 - 00:41] Speaker B: I guess I just wanted to see if the stories were true."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1049130.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, how've you been? It feels like forever since we've talked!\n[00:04 - 00:15] Speaker B: I know, right? I've been good. Just keeping busy with work and my new responsibilities at the office which have been quite challenging but also really rewarding as I'm learning so many new skills and taking on leadership roles.\n[00:07 - 00:12] Speaker A: Oh, speaking of work, what's new with you? Anything exciting?\n[00:13 - 00:17] Speaker B: Not much. Just the usual grind. But I did just get a promotion, so that's exciting.\n[00:17 - 00:20] Speaker A: Congratulations! That's great news.\n[00:20 - 00:27] Speaker B: Thanks. It's definitely a nice raise too. I'm looking forward to spending more time at home now that I don't have to commute as often as before.\n[00:28 - 00:35] Speaker A: Wait, does that mean you'll be working from home more often? That sounds like a game-changer for your work-life balance.\n[00:36 - 00:43] Speaker B: Exactly! I'll be remote most days, which is going to be a huge relief. And I was going to say, spending more time with the family will be amazing too.\n[00:44 - 00:49] Speaker A: Yeah, I can imagine that would be a big relief. So how's your family doing?\n[00:49 - 00:58] Speaker B: They're all good. My kids are growing up so fast, it feels like they're changing every day. And my wife is pregnant again, so we're getting ready for another baby in the house soon.\n[00:58 - 01:03] Speaker A: Wow! Another baby on the way? That's amazing news! Congratulations!\n[01:03 - 01:08] Speaker B: Thanks. We're really excited. It's going to be a lot of work, but it'll be worth it in the end.\n[01:08 - 01:15] Speaker A: I'm sure it will be. Well, I'm really happy for you and your family. I'm sure you'll all be great parents.\n[01:16 - 01:18] Speaker B: Thanks, Zhavia. I appreciate that."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--304811.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: How are you feeling today, Sarah?\n[00:02 - 00:14] Speaker B: I'm feeling okay. I've been having a lot of headaches and stomachaches but I think it might be related to the stress I've been under lately, especially with all the upcoming deadlines at work and personal issues I've been dealing with on top of everything else.\n[00:06 - 00:11] Speaker A: Headaches and stomachaches? That sounds concerning. Have you been taking your medication?\n[00:11 - 00:12] Speaker B: Yes, I have.\n[00:13 - 00:15] Speaker A: Are you drinking plenty of fluids and eating enough?\n[00:16 - 00:19] Speaker B: Yes, I'm drinking a lot of water and juice and eating healthy foods.\n[00:19 - 00:22] Speaker A: That's good. How's your stress level been?\n[00:22 - 00:30] Speaker B: It's been pretty high lately. I've been having a lot of arguments with my parents and I'm worried about how it's affecting my mental and physical health.\n[00:30 - 00:37] Speaker A: You mentioned arguments with your parents—do you think that's contributing to the stress and maybe even the headaches?\n[00:37 - 00:44] Speaker B: Possibly, yes. It's been really tough. I have talked to my friends about it, and they've been helping me a lot. But it's still hard.\n[00:45 - 00:57] Speaker A: It sounds like it's been a really tough few weeks for you. We can talk more about that if you want, but first let's check your vitals and see if there are any physical causes for your headaches and stomachaches."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--761001.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I've been thinking a lot lately about the meaning of life. Do you ever feel like it's just one big mystery?\n[00:06 - 00:13] Speaker B: I don't know. I guess I've never really thought about it that deeply. I tend to focus on the day-to-day rather than the bigger picture.\n[00:14 - 00:21] Speaker A: Really? I find it hard to believe you haven't had those moments where you just stop and wonder why we're here. Doesn't it ever cross your mind?\n[00:22 - 00:34] Speaker B: Well, maybe sometimes, but I think about it more in terms of what I can control, like my goals and how I can achieve them while also considering how they align with my core values and contribute to my overall sense of purpose in life.\n[00:28 - 00:40] Speaker A: Ah, so you're more focused on the tangible aspects of life. That makes sense. But don't you ever feel that even those goals might be influenced by something deeper, something we can't fully understand?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--153751.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, Sarah. I just finished checking something off my to-do list and I feel so much better now.\n[00:06 - 00:14] Speaker B: That's great! What was it that you were able to cross off your list after all this time? I'm really curious to know what finally got your attention and motivated you to complete it.\n[00:08 - 00:16] Speaker A: Sorry to interrupt, but I just remembered I need to ask you something important about the budget report. Is it due tomorrow?\n[00:16 - 00:22] Speaker B: Oh, yes, it is due tomorrow. But back to your to-do list, what was it that you were able to cross off?\n[00:22 - 00:30] Speaker A: I was finally able to complete a project that I've been procrastinating on for weeks. It feels good to have it done and out of the way.\n[00:30 - 00:42] Speaker B: I know how you feel. There's nothing like the sense of relief that comes with completing a task that you've been  avoiding for a long time, especially when it's something that's been weighing on your mind and affecting your productivity in other areas of work.\n[00:43 - 00:50] Speaker A: Actually, speaking of relief, I wanted to ask if you have any tips for managing stress when deadlines are looming?\n[00:50 - 00:54] Speaker B: Yeah, I'm just glad that it's over and I can move on to the next thing on my list.\n[00:55 - 01:00] Speaker A: Well, congratulations! You should be proud of yourself for finally getting it done."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--617839.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: Hey, Mom. I just wanted to apologize for breaking the grammar rule earlier. I know that I should have followed the rule, but I didn't and now I feel like I let you down, and I really want to do better next time by paying more attention to the details and practicing more regularly to improve my skills.\n[00:08 - 00:15] Speaker B: Arisha, it's really okay. I understand how you feel, but everyone makes mistakes sometimes. It's not the end of the world.\n[00:16 - 00:29] Speaker A: Yeah, but this was a really big mistake and I don't want to make it  worse by not learning from it. I just want to make sure I improve through consistent effort and by asking for help when I need clarification on the rules.\n[00:29 - 00:39] Speaker B: I get it, you want to avoid making the same mistake again. Maybe next time you can try to be more careful. Just remember that everyone makes mistakes sometimes, and that's okay.\n[00:39 - 00:41] Speaker A: Yeah, thanks, Mom."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--525710.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, do you think this necklace will go with my new outfit?\n[00:04 - 00:15] Speaker B: Let me see! Oh wow, it's so pretty! It definitely goes with your outfit. You're going to look stunning in it because the intricate details complement the patterns in your dress perfectly while adding just the right amount of elegance.\n[00:09 - 00:17] Speaker A: I actually have a different opinion. I think the necklace might be a bit too flashy for the outfit. Maybe something simpler would work better?\n[00:17 - 00:20] Speaker B: I know, I'm so excited! I can't wait to wear it out tonight.\n[00:21 - 00:22] Speaker A: Where are you going again?\n[00:23 - 00:33] Speaker B: Remember, I told you about that new club that just opened up? I'm going there with some  friends from work who have been raving about the amazing atmosphere and live music performances they host every weekend.\n[00:34 - 00:42] Speaker A: Oh, that reminds me, have you thought about the potential risks of going to a new place? It's always good to be cautious.\n[00:42 - 00:47] Speaker B: Oh yeah, that sounds like a lot of fun! Have a great time and make sure to take lots of pictures!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1022129.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Dev. What're you watching?\n[00:03 - 00:14] Speaker B: Just this show I like. It's about a family of bears who live in the forest and go on all kinds of adventures together, learning important life lessons about friendship, teamwork, and respecting nature along the way.\n[00:07 - 00:16] Speaker A: Oh, that sounds cute. I remember when I used to watch shows like that with my little sister. We would always make up our own storylines for the characters.\n[00:16 - 00:27] Speaker B: Yeah, I do that too sometimes. But I also like just watching what happens on the\n[00:29 - 00:34] Speaker A: Do you think the show teaches anything valuable, like lessons about nature or family?\n[00:35 - 00:39] Speaker B: Yeah, it does actually. It's pretty educational while still being fun to watch.\n[00:40 - 00:47] Speaker A: That's good. It's important to use your imagination, but it's also good to just relax and take in what you're seeing too.\n[00:48 - 00:49] Speaker B: Yeah, I guess so.\n[00:49 - 00:51] Speaker A: Did you have a good day today?\n[00:51 - 00:55] Speaker B: Yeah, it was alright. I went to school and then came home.\n[00:56 - 00:58] Speaker A: Did anything exciting happen at school?\n[00:59 - 01:02] Speaker B: Not really. We had a test in math and I got an A+.\n[01:02 - 01:05] Speaker A: That's great! I'm so proud of you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--719372.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:02] Speaker B: Just working out. You?\n[00:03 - 00:07] Speaker A: Yeah, I'm on the treadmill. I run for thirty minutes every day.\n[00:07 - 00:11] Speaker B: That's great! I wish I could be as disciplined as you are.\n[00:11 - 00:24] Speaker A: It's not that hard, once you get into the habit. Plus, it makes me feel really good and helps me stay focused throughout the day while also improving my sleep quality and reducing stress levels significantly.\n[00:16 - 00:20] Speaker B: Wait, do you follow a specific routine or just run for those thirty minutes?\n[00:21 - 00:28] Speaker A: I mostly just run, but sometimes I add in some intervals. Anyway, it makes me feel really good afterwards.\n[00:28 - 00:31] Speaker B: I can imagine. I always feel so sluggish after a workout.\n[00:32 - 00:42] Speaker A: Yeah, but it's worth it in the end. You get a rush of endorphins and it helps to clear your head. Plus, you know, it's good for your cardiovascular health and overall well-being.\n[00:43 - 00:48] Speaker B: Actually, I heard that running can sometimes be tough on your knees. Do you ever feel any discomfort?\n[00:48 - 00:55] Speaker A: Not really, I make sure to wear good shoes and stretch properly. But yeah, it's good for your health overall.\n[00:55 - 01:00] Speaker B: Absolutely. I should start working out more often myself. Thanks for the motivation!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--303336.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: I need the money to start my own business. I need the money to pay off my gambling debts, and it's been weighing on me heavily for months now, affecting both my mental health and relationships with those closest to me.\n[00:04 - 00:10] Speaker B: Wait, you're saying you have gambling debts? That's a serious issue. Have you thought about seeking help for that?\n[00:10 - 00:16] Speaker A: I know, it's something I need to deal with. But right now, I really need to get my business off the ground too.\n[00:17 - 00:21] Speaker B: Well, I certainly can't give you all the money you need, but I can give you a loan to help out.\n[00:21 - 00:26] Speaker A: Thank you, Raj. I appreciate your willingness to help me out during this tough time.\n[00:26 - 00:32] Speaker B: Just make sure to prioritize paying off those debts first. It's important to get that under control.\n[00:32 - 00:37] Speaker A: I understand. I won't spend it all in one place, I promise."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--526278.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: I can't believe I'm stuck in this mud. It's so cold and wet and it smells like something rotten that's been decomposing for weeks, maybe even months, with this overpowering stench that's making me nauseous.\n[00:04 - 00:11] Speaker B: Awful, I know. But let's focus on getting you out of there. Have you tried shifting your weight to one side to see if that helps?\n[00:12 - 00:21] Speaker A: I've been trying to get out for a while now, but the mud is just too thick. I can't seem to get a good grip or find any solid ground to push off from.\n[00:21 - 00:26] Speaker B: Move? Maybe we can find something to use as leverage. Hold on, let me look around.\n[00:26 - 00:31] Speaker A: I appreciate your help. I'm starting to get really cold and scared.\n[00:31 - 00:34] Speaker B: Don't worry, we'll get you out of there. Just hang tight for a moment."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--193968.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Wow, you're really good at tennis! I've never seen anyone hit the ball so consistently with such power and precision while maintaining perfect form and footwork throughout the entire match.\n[00:04 - 00:11] Speaker B: Oh, thanks! By the way, do you have any specific areas you're struggling with? Maybe I can give you some tips right now.\n[00:11 - 00:18] Speaker A: Actually, my backhand needs a lot of work. I've been trying to improve it, but it just doesn't feel right.\n[00:18 - 00:28] Speaker B: It's not as easy as it looks. It takes a lot of practice and dedication to become good at tennis. But I think you have potential. With some more practice, you could be really good too.\n[00:28 - 00:34] Speaker A: That's what I'm hoping for. I really enjoy playing, but I still need to work on my skills.\n[00:34 - 00:39] Speaker B: Well, if you ever need any help or tips, feel free to ask me. I'd be happy to help you out."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--126313.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, kids! How are you today?\n[00:02 - 00:04] Speaker B: We're good, mom. Thanks for asking.\n[00:05 - 00:07] Speaker A: That's great! What did you do today?\n[00:08 - 00:17] Speaker B: We went to the park and played with our friends. Then we came home and had some delicious homemade snacks that grandma prepared for us before settling down to watch our favorite animated movie together.\n[00:11 - 00:16] Speaker A: Sorry to interrupt, but did you remember to clean up your toys before coming home?\n[00:17 - 00:19] Speaker B: Oh, yes, we did! After that, we had lunch.\n[00:20 - 00:24] Speaker A: That sounds like a lot of fun! I'm glad you had a good day.\n[00:24 - 00:26] Speaker B: We did! What did you do today, mom?\n[00:27 - 00:29] Speaker A: I went to work and then came home.\n[00:29 - 00:30] Speaker B: That's it?\n[00:30 - 00:37] Speaker A: Yep, that's it. I'm pretty boring, but I did manage to squeeze in some time to read a book.\n[00:37 - 00:41] Speaker B: Mom, you're not boring at all! You just have a different job than we do.\n[00:41 - 00:47] Speaker A: Thanks, sweetie. I guess I didn't mention I also stopped by the grocery store on my way back."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--316553.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: I don't know how to wash dishes! I've tried several times, but each time I make a mess. I feel like a failure and wonder why I can't do something so simple that everyone else seems to do effortlessly, especially when I see my younger siblings handling it without any problems at all.\n[00:09 - 00:20] Speaker B: Adaleigh, it's okay. I totally understand how frustrating it can be, but everyone has to learn how to wash dishes at some point in their life. It's not as easy as it looks, but with a little practice, you'll get the hang of it.\n[00:21 - 00:33] Speaker A: Why does everyone else seem to know how to do this but me? Am I just  really bad at these kinds of tasks, or is there something fundamentally different about the way I approach household chores compared to other people?\n[00:33 - 00:43] Speaker B: Of course not! You're not stupid, you're just learning. Everybody starts out feeling like this when they're first learning how to do something new. Just keep trying and you'll get there eventually.\n[00:43 - 00:46] Speaker A: I don't know...I feel like I'm never going to get it.\n[00:47 - 00:58] Speaker B: Adaleigh, remember when you were first learning how to ride a bike? It took you a few tries, but eventually you figured it out. This is just like that. Just keep practicing and you'll get it. I know you can do it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1128813.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I can't take this anymore. I feel like a puppet, always having to do what you say. I'm suffocated by the oppression I face at work.\n[00:08 - 00:23] Speaker B: Christos, I understand how you feel. But you need to understand that I'm only trying to help you be successful. If you don't want to do what I say, then maybe this isn't the right environment for you to thrive in, especially considering your need for creative freedom and personal growth opportunities.\n[00:18 - 00:28] Speaker A: It's not that I don't want to do what you say, it's that I feel like I have no choice. I need this job to survive, but it feels like every day is a battle just to get through it.\n[00:29 - 00:37] Speaker B: Christos, I'm sorry that you feel that way. But if it's really that bad, maybe you should look for another opportunity that aligns better with your values and needs.\n[00:38 - 00:45] Speaker A: I can't just leave, I have bills to pay. This is the only job I can find that pays enough to cover my expenses.\n[00:46 - 00:56] Speaker B: I get that, but have you considered talking to HR about your concerns? Maybe they can offer some support or even suggest other roles within the company that might be a better fit for you.\n[00:57 - 01:05] Speaker A: I haven't thought about that. Maybe I should give it a try. But I still feel like the core issue is the lack of autonomy in my current role."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1092169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, what do you think? Are we making a difference?\n[00:03 - 00:07] Speaker B: Absolutely! I can't believe how much better the neighborhood looks already.\n[00:07 - 00:22] Speaker A: Yeah, it's amazing what a little hard work can do. But we can't rest on our laurels – there's still a lot of work to be done, especially in the areas we haven't touched yet, like the abandoned lots and the community center that desperately needs renovation.\n[00:15 - 00:21] Speaker B: Speaking of work, do we have a plan for the next phase? I feel like we need to prioritize what needs to be tackled next.\n[00:22 - 00:32] Speaker A: Good point. We still need to focus on cleaning up the park and organizing the community garden. But it's worth it, if it means that we can make our neighborhood a better place to live.\n[00:33 - 00:36] Speaker B: Absolutely. I'm just glad that we're all working together to make this happen.\n[00:37 - 00:44] Speaker A: Me too. It's been a really great experience, getting to know my neighbors and working together towards a common goal.\n[00:44 - 00:48] Speaker B: Yeah, it definitely has. I think we're really making a difference here."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--784738.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, I'm feeling better after getting some fresh air.\n[00:03 - 00:06] Speaker B: Yeah, you looked a little down when you came in. What's up?\n[00:06 - 00:15] Speaker A: Just some stuff with my family. But I don't want to burden you with it right now since I know you've got your own things going on and I don't want to bring the mood down.\n[00:10 - 00:14] Speaker B: Sorry to interrupt, but are you sure? Sometimes talking about it can really help.\n[00:15 - 00:19] Speaker A: I appreciate that, but I'd rather not get into it right now. How are you?\n[00:20 - 00:23] Speaker B: I'm good. Just hanging out, doing some homework. So what do you want to do today?\n[00:24 - 00:26] Speaker A: I don't know. What do you want to do?\n[00:27 - 00:29] Speaker B: We could go to the park or something.\n[00:29 - 00:33] Speaker A: Yeah, that sounds good. Let me just grab my jacket real quick.\n[00:34 - 00:37] Speaker B: It's so nice out today. I'm really glad we came to the park.\n[00:38 - 00:46] Speaker A: Yeah, me too. It's a great way to clear your head. So how are you really feeling about everything that's been going on lately?\n[00:46 - 00:51] Speaker B: Hey, I know you said you didn't want to talk about it earlier, but if you change your mind, I'm here.\n[00:52 - 01:01] Speaker A: Thanks, that means a lot. Actually, it's just been tough lately with my family. My mom and dad are always fighting, and it's really stressing me out.\n[01:01 - 01:05] Speaker B: That sounds really tough. I'm here for you if you ever need to talk though.\n[01:05 - 01:12] Speaker A: Thanks, that means a lot. Just knowing that I have a friend who cares makes me feel a little better already."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--302394.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: I can't believe we're actually doing this! It feels so good to be out here fighting for something we believe will make a real difference in the long run, especially when we see how our efforts are inspiring others to join the movement and take action in their own communities.\n[00:05 - 00:12] Speaker B: Absolutely! But do you think this will actually lead to any real change? I mean, we've been raising our voices for so long.\n[00:12 - 00:18] Speaker A: I know, it does! I feel like we're really making a difference. People are definitely listening to us.\n[00:19 - 00:33] Speaker B: Yeah, I think so too. It's just so frustrating that it takes something like this to get people to wake up and pay attention to what's going on with our planet. It's like, why can't they see how important this is? Why do we have to keep pushing so hard just to get the basic message across?\n[00:33 - 00:50] Speaker A: You're right, but maybe it's because people are overwhelmed by so many issues at once. They might not know where to start, and that's where we come in—to guide them\n[00:53 - 00:59] Speaker B: I know, I feel the same way. But sometimes it takes a big event like this to really get people to sit up and take notice.\n[00:59 - 01:07] Speaker A: Yeah, I guess you're right. It's just so frustrating. I wish there was some other way to get people to care about this issue.\n[01:07 - 01:15] Speaker B: Well, maybe we can use our voices to make a difference. We can keep speaking out and raising awareness. Maybe that will help change things in the long run."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1112132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: Just running some errands. I needed to pick up a few things from the store and then I have to head over to the bank to sort out some paperwork before it closes because I've been putting it off for weeks and they keep sending me reminders about updating my account information.\n[00:06 - 00:14] Speaker B: Oh, speaking of errands, did you hear about the new store that just opened downtown? It might be worth checking out if you're already out and about.\n[00:14 - 00:22] Speaker A: I hadn't heard about that. I'll have to look into it, but I was actually saying I need to head over to the post office after the store.\n[00:23 - 00:27] Speaker B: That sounds like a lot of fun. *sarcastically* What are you getting at the store?\n[00:28 - 00:31] Speaker A: Just some food and stuff. You know, the usual groceries.\n[00:32 - 00:35] Speaker B: Do you ever get tired of eating the same old thing all the time?\n[00:35 - 00:42] Speaker A: Yeah, sometimes I do. But it's not like there's anything else to eat, so… *shrugs*\n[00:43 - 00:51] Speaker B: I know what you mean. I get tired of eating the same thing every day too. But sometimes I like to mix it up and try out new recipes or add a twist to old favorites.\n[00:51 - 00:57] Speaker A: Do you have any quick suggestions for that? I've been stuck in a rut lately with my meals.\n[00:57 - 01:04] Speaker B: Absolutely! You could try adding some new spices or even experimenting with different cuisines. It doesn't have to be complicated.\n[01:05 - 01:08] Speaker A: That sounds good. I might have to try that sometime.\n[01:09 - 01:13] Speaker B: Yeah, you should! It's really not that hard, and it can be really fun too.\n[01:13 - 01:17] Speaker A: I'll definitely keep that in mind. Thanks for the advice!\n[01:17 - 01:19] Speaker B: No problem, anytime!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--585968.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Mom.\n[00:01 - 00:03] Speaker B: Hey, Shamiyah. How are you doing?\n[00:04 - 00:06] Speaker A: I'm good. How are you?\n[00:06 - 00:10] Speaker B: I'm good. Just worried about you. You've been through a lot lately.\n[00:10 - 00:14] Speaker A: I know, Mom. But I'm okay. Really.\n[00:14 - 00:30] Speaker B: Are you sure? Because I worry about you, son. You're all I have left in this world since your father died. And I just want to make sure that you're okay and taking care of yourself properly by eating well, getting enough rest, and surrounding yourself with positive influences who truly care about your wellbeing.\n[00:23 - 00:36] Speaker A: Mom, I understand, but I really am happy. Even though things have been tough lately, I know that they will get better. And I have you to thank for that because you've always been there for me no matter how difficult things got.\n[00:37 - 00:44] Speaker B: I appreciate that, but I still can't help but worry. Have you thought about talking to someone, like a counselor, just to help process everything?\n[00:44 - 00:54] Speaker A: I haven't really considered that, Mom. But I was saying, you've always been there for me no matter what happened. Maybe talking to someone could help, but knowing you're here means a lot."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--487317.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, Kenley. What's up?\n[00:02 - 00:06] Speaker B: Not much. Just wanted to ask how you're doing. You seem a bit distracted lately.\n[00:06 - 00:17] Speaker A: I'm fine, just have a lot on my plate with work deadlines and personal commitments that have been piling up over the past few weeks, making it hard to find time for myself.\n[00:09 - 00:16] Speaker B: Sorry to interrupt, but is this about that big project at work? I've noticed it's been really demanding.\n[00:16 - 00:24] Speaker A: The project is part of it, but it's also other things. Mostly stress from work and life in general. Thanks for offering though.\n[00:24 - 00:36] Speaker B: No problem. I care about you and want to help if I can. Let me know if you ever need to  talk or need a break from everything because sometimes stepping away for a short while can help clear your mind and give you fresh perspective.\n[00:36 - 00:40] Speaker A: Actually, speaking of help, do you have any advice on managing stress?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--25283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: Hey Aizen. I was wondering if you'd want to go out on a date with me? I think it would be fun to get to know each other better and see where things might go, maybe over dinner at that new Italian place downtown that everyone's been raving about lately.\n[00:06 - 00:10] Speaker B: I don't know, Reymundo. I'm not sure if I'm ready for dating right now.\n[00:10 - 00:22] Speaker A: That's perfectly understandable. I just thought it would be a good opportunity to get to know each other better. We don't have to rush into anything serious; we can just take it slow and see how it goes.\n[00:23 - 00:24] Speaker B: I don't know...\n[00:24 - 00:37] Speaker A: Please, Aizen. Just give me a chance. I promise you'll have a good time  exploring new places and trying different activities together that we both might enjoy, like visiting art galleries or going hiking on weekends.\n[00:38 - 00:41] Speaker B: Alright, Reymundo. I'll go out on a date with you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--860269.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: You sure are sweaty.\n[00:01 - 00:03] Speaker B: Yeah, it's really hot out today.\n[00:04 - 00:15] Speaker A: It is. I'm trying to keep my cool, but it's hard when the sun is beating down like this without any shade or relief from the scorching temperatures that seem to be getting worse every minute.\n[00:07 - 00:12] Speaker B: Do you think it's going to get even hotter later? I mean, it's barely noon, and it's already unbearable.\n[00:13 - 00:18] Speaker A: It might, but I was going to say it's tough to stay cool when there's no breeze at all.\n[00:19 - 00:22] Speaker B: Yeah, I know what you mean. I sweat a lot myself.\n[00:22 - 00:25] Speaker A: Yeah, I can see that. You're really drenched.\n[00:25 - 00:37] Speaker B: Yeah, it's not fun. But at least we're not alone in this  heat. It seems like everyone is struggling today with the extreme weather conditions that have been persisting for weeks now without any sign of relief.\n[00:37 - 00:42] Speaker A: Speaking of which, do you think we should grab some cold drinks? It might help a bit.\n[00:42 - 00:45] Speaker B: Yeah, that's true. At least we can suffer together.\n[00:46 - 00:49] Speaker A: Ha, yeah. I guess that's one way to look at it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--674667.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I'm sorry I failed the exam.\n[00:02 - 00:06] Speaker B: Ryann, what happened? You were doing so well in class.\n[00:06 - 00:15] Speaker A: I don't know. I just couldn't focus on the questions, even though I had studied them thoroughly and practiced similar problems multiple times before the exam.\n[00:09 - 00:15] Speaker B: Wait, when you say you couldn't focus, do you mean you were distracted by something specific, or was it just a general feeling?\n[00:16 - 00:20] Speaker A: It was just a general feeling. I couldn't focus on the test at all.\n[00:20 - 00:23] Speaker B: Did something happen that day that may have distracted you?\n[00:23 - 00:28] Speaker A: No, nothing happened. I just couldn't concentrate, no matter how hard I tried.\n[00:29 - 00:33] Speaker B: Sometimes stress or anxiety can sneak up on us. Do you think that might have been a factor?\n[00:34 - 00:39] Speaker A: Maybe, but I'm positive nothing specific happened. I just couldn't focus."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1180329.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: Mom, I'm so excited about the play! I've been practicing my lines every day, and I think I'm really going to impress everyone with my performance because I've put in so much effort and dedication to perfect every single detail of my character.\n[00:07 - 00:14] Speaker B: Hold on, Kohl, have you also been practicing your cues with the other actors? Timing is just as important as knowing your lines.\n[00:14 - 00:21] Speaker A: Oh, definitely! We've been rehearsing together after school. I think I'm really going to nail this role.\n[00:21 - 00:31] Speaker B: That's great, Kohl! I'm sure you'll do a wonderful job. Just remember to stay focused and don't let nerves get the best of you. You'll be able to handle anything that comes your way if you stay calm.\n[00:31 - 00:37] Speaker A: Speaking of nerves, do you have any tips on how to stay calm before going on stage?\n[00:37 - 00:42] Speaker B: Absolutely! Deep breathing really helps. Also, try to visualize the performance going well. You'll be great.\n[00:43 - 00:50] Speaker A: Thanks, Mom. I know I can do this. I'm just so excited to be performing in front of an audience. It's going to be a lot of fun.\n[00:50 - 00:55] Speaker B: I'm sure it will be. Just remember to give it your all and enjoy the experience."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--126878.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Hey, Nyles. Do you need any help in the bathroom? I can get you a towel or help you to the shower if you need assistance with adjusting the water temperature or finding your toiletries.\n[00:05 - 00:12] Speaker B: Sorry to interrupt, but I just remembered, did you check if we have enough clean towels? I can grab some from the storage if needed.\n[00:13 - 00:20] Speaker A: No, I'm okay. Thanks, though. But about the towels, I think we're running low. Could you get some more?\n[00:20 - 00:23] Speaker B: Sure thing. Are you sure? I don't mind helping out.\n[00:23 - 00:29] Speaker A: I appreciate the offer, but I think I've got it covered. Thanks anyways.\n[00:29 - 00:32] Speaker B: Okay. Well, let me know if you need anything.\n[00:32 - 00:35] Speaker A: Will do. Thanks, Ayat.\n[00:35 - 00:43] Speaker B: So Nyles, do you need help with laundry? I can get the laundry basket for you and bring it to the laundry room so we can start sorting the clothes.\n[00:44 - 00:50] Speaker A: Actually, I was thinking, should we sort the clothes first? It might save us some time later.\n[00:50 - 00:51] Speaker B: That would be great, thanks!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--855653.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: Hey, thanks for checking out my car. I just wanted to make sure everything was in good working order before I hit the road for a long trip this weekend, especially since I'll be driving through some pretty remote areas with limited service stations along the way.\n[00:07 - 00:14] Speaker B: Sorry to interrupt, but do you have a specific destination in mind? It might help me give you some additional advice if I know where you're heading.\n[00:14 - 00:22] Speaker A: Oh, good point! I'm actually planning a road trip up to the mountains. So, what do you think? Is everything looking good?\n[00:22 - 00:37] Speaker B: Everything looks fine under the hood. The oil levels are good, the water levels are good, and the tires have plenty of tread. The only thing I'd check is your gas level and make sure your emergency brake is functioning properly, especially since you'll be driving in hilly terrain.\n[00:37 - 00:44] Speaker A: Engaged, right? I'll double-check that. Anything else I should be aware of, especially considering the mountain roads?\n[00:45 - 00:49] Speaker B: Other than that, you should be all set! Just make sure to take it slow on those curves.\n[00:50 - 00:54] Speaker A: Alright, well thanks for your help. I feel much more confident now.\n[00:55 - 00:57] Speaker B: No problem, happy to help. Drive safe!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--798455.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: I'm sorry, I know I shouldn't have broken in, but I really needed to find that book. It's been driving me crazy trying to remember where I last saw it because it contains some extremely rare historical documents that are crucial for my research project due next week.\n[00:07 - 00:10] Speaker B: What book are you talking about? And how did you even know it was here?\n[00:10 - 00:19] Speaker A: I heard about it from a friend and she said it was in this loft. I didn't mean to cause any trouble, I just really wanted to find it.\n[00:19 - 00:31] Speaker B: How did your friend even know about this book? It's not something that's widely  advertised or talked about in academic circles either, which makes me wonder how your bookstore friend came across such a specialized historical reference text.\n[00:31 - 00:41] Speaker A: She works in a bookstore and heard about it from one of the customers who was looking for it. Apparently, they had checked everywhere but couldn't find it so she thought maybe it was here.\n[00:42 - 00:47] Speaker B: That still doesn't explain why you decided to break in rather than just asking me if I had the book.\n[00:47 - 00:59] Speaker A: Well, I didn't want to bother you if you didn't have it and I figured since your place was open anyway, that maybe I could take a look myself. Again, I'm sorry for breaking in and causing any trouble.\n[01:00 - 01:10] Speaker B: It's not like you did any damage or anything so don't worry about it too much. As long as you're not going to try and steal anything else, you can stay and look for the book. Just be careful not to make too much of a mess."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--835488.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey Cora, what's up?\n[00:01 - 00:04] Speaker B: Not much, just hanging out. What about you?\n[00:04 - 00:15] Speaker A: I'm good, just hanging out with some friends. You should come over if you're free. We're having a great time playing board games and catching up on all the latest news and gossip.\n[00:08 - 00:12] Speaker B: Wait, where are you guys hanging out? I might be more tempted if it's somewhere close.\n[00:13 - 00:17] Speaker A: We're at the new café downtown. You should come join us!\n[00:17 - 00:19] Speaker B: Nah, I don't really feel like it.\n[00:20 - 00:29] Speaker A: Come on, it'll be fun! I'll buy you a  coffee or maybe something sweet to go with it like their famous chocolate croissants that just came out of the oven.\n[00:29 - 00:32] Speaker B: Are there a lot of people there? I kinda want to avoid a crowd.\n[00:33 - 00:37] Speaker A: It's pretty chill right now, not too crowded. So, how about that drink?\n[00:38 - 00:41] Speaker B: Alright, fine. I'll come for one drink."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--730163.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey Chace, I got your address from the school office. I hope that's okay.\n[00:05 - 00:07] Speaker B: Yeah, no problem. What's up?\n[00:08 - 00:11] Speaker A: Well, I just wanted to find you and ask if you wanted to be friends.\n[00:12 - 00:14] Speaker B: Friends? Why would you want to be friends with me?\n[00:15 - 00:32] Speaker A: Because I think you're a cool guy and I don't have many friends at school. Plus, we have a lot in common, like our interests in similar video games, the way we both enjoy playing basketball after school, and maybe even our sense of humor when it comes to those corny teacher jokes.\n[00:22 - 00:25] Speaker B: Wait, what do you mean by \"a lot in common\"? Like what exactly?\n[00:25 - 00:34] Speaker A: Well, we're both in the same grade and we both like video games and sports. And we both think school is kind of boring sometimes. Am I right?\n[00:34 - 00:42] Speaker B: Yeah, I guess so. But why do you want to be friends with me all of a sudden? We've never even talked much before, so this is kind of unexpected.\n[00:42 - 00:53] Speaker A: I know it seems sudden, but I just have a good feeling about you, I guess. Plus, like I said, I don't have many friends at school and it would be nice to have someone to hang out with.\n[00:53 - 00:57] Speaker B: Okay, sure. Why not? I could use a friend too."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--706924.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, how are you finding the class so far?\n[00:02 - 00:04] Speaker B: It's been good. I'm learning a lot.\n[00:05 - 00:11] Speaker A: That's great! I'm glad to hear that you're enjoying it. What have been your favorite parts of the class so far?\n[00:12 - 00:30] Speaker B: I really like the discussions we've been having in class. It's been really interesting to hear everyone's perspectives on how different issues intersect with each other, like how economic inequality ties into education and healthcare, and how these complex relationships shape our understanding of social justice in contemporary society.\n[00:17 - 00:24] Speaker A: Speaking of perspectives, have you noticed any recurring themes or ideas that have stood out to you during those discussions?\n[00:24 - 00:30] Speaker B: Definitely. A lot of people seem to be focused on the idea of systemic change, which has been really thought-provoking.\n[00:31 - 00:44] Speaker A: Yes, those discussions can be very enlightening. I'm always learning something new from my students during those times. Is there anything you're struggling with in the class? Anything you're finding confusing or difficult?\n[00:44 - 01:04] Speaker B: Well, I'm not sure if this is what you're looking for, but I find some of the material we're covering to be a bit depressing. Sometimes it feels like everything we read is about how bad things are and how much worse they're going to  get if we don't take action soon, especially when we examine the long-term projections for climate change and social inequality across different demographic groups worldwide.\n[01:04 - 01:17] Speaker A: I totally understand. It can be overwhelming, but it's also an opportunity to engage critically and think about solutions. Do you feel like the class discussions help in processing some of those emotions?\n[01:17 - 01:23] Speaker B: Yeah, they do help. It's just hard sometimes to balance the weight of the issues with staying motivated.\n[01:24 - 01:29] Speaker A: I know it is. But you're doing a great job in this class and I'm really proud of you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--87333.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Kyan. I wanted to talk to you about what happened the other day.\n[00:03 - 00:15] Speaker B: Oh, yeah. I'm sorry about that. I was really mad when it happened and I didn't mean to take it out on you like that. I was just frustrated with everything going on at work and let my emotions get the better of me in the moment.\n[00:09 - 00:15] Speaker A: I get it, but I think what really bothered me was that we didn't get a chance to talk it through before everything escalated.\n[00:16 - 00:19] Speaker B: Yeah, me too. I guess we both got pretty worked up about it.\n[00:19 - 00:25] Speaker A: Yeah, we did. But at least we're talking now and we can figure out a way to move forward from this.\n[00:26 - 00:32] Speaker B: Yeah, definitely. So, what do you think we should focus on first to make sure this doesn't happen again?\n[00:32 - 00:42] Speaker A: Before we dive into solutions, I just want to emphasize that better communication is key. We need to be more open with each other so this doesn't happen again.\n[00:42 - 00:45] Speaker B: Absolutely. That's something I definitely want to work on too.\n[00:46 - 01:02] Speaker A: Great! Secondly, I think we need to be more understanding of each other's perspectives and try to see things from"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--311173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Mom.\n[00:01 - 00:03] Speaker B: Hey, baby. How did you sleep?\n[00:04 - 00:18] Speaker A: I slept alright. I had a few weird dreams that didn't make much sense, but they were filled with strange landscapes and people I've never met before, all interacting in ways that felt both familiar and completely alien at the same time.\n[00:08 - 00:10] Speaker B: Oh, weird dreams? What were they about?\n[00:10 - 00:15] Speaker A: I'm not sure, but they were kind of random. Other than that, it was good.\n[00:15 - 00:18] Speaker B: That's good, sweetie. Did you have anything you wanted to talk about?\n[00:18 - 00:35] Speaker A: Not really. Just the usual stuff. School, friends, things like  how to handle some of the pressures I'm feeling lately, especially with upcoming exams and trying to balance social life with academic responsibilities while still making time for self-care and personal growth.\n[00:35 - 00:38] Speaker B: Speaking of school, how's everything going with your classes?\n[00:38 - 00:44] Speaker A: It's going okay. I was just going to say friends and things like that have been pretty normal too.\n[00:44 - 00:48] Speaker B: Okay. Well, if you ever want to talk about anything, you know I'm always here for you.\n[00:49 - 00:50] Speaker A: Thanks, Mom. I love you.\n[00:51 - 00:52] Speaker B: I love you too, sweetheart."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--249372.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: What are some ways I can grow my company and make more money?\n[00:03 - 00:26] Speaker B: Well, there are a few options. You could expand your product line or enter new markets. Alternatively, you could focus on increasing efficiency and reducing costs. Or, you could try to grow your revenue by increasing prices or finding new customers. Ultimately, it depends on what makes sense for your business and what you think will be beneficial in the long run, taking into account your company's unique strengths and the competitive landscape of your industry.\n[00:21 - 00:28] Speaker A: Sorry to jump in, but when you mentioned increasing prices, do you think that might risk losing some of our existing customers?\n[00:29 - 00:43] Speaker B: That's a valid concern. Raising prices could indeed lead to losing some price-sensitive customers, but it could also attract a more premium segment. However, I was going to say that it depends on what you think will be most profitable for your specific business.\n[00:43 - 00:50] Speaker A: Understood. And what about expanding into new markets? How do we assess if that's the right move?\n[00:50 - 01:03] Speaker B: Expanding into new markets could definitely be a lucrative option, but it requires careful market research to ensure there's demand for your product. You'd also need to consider the costs of entering a new market, such as marketing and distribution.\n[01:04 - 01:09] Speaker A: That makes sense. I suppose it's about balancing the potential risks and rewards."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--913166.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Why are you following me? I'm scared you're going to hurt me.\n[00:04 - 00:15] Speaker B: We're not going to hurt you, we just want to talk to you. We saw you walking home from school and thought you looked like you might need someone to talk to about whatever's been bothering you lately, since you've seemed so distant in class.\n[00:09 - 00:12] Speaker A: But why me? There are plenty of other girls at school.\n[00:13 - 00:17] Speaker B: Sorry, I didn't mean to interrupt. I was just going to say you looked pretty.\n[00:17 - 00:20] Speaker A: Well, I don't want to talk to you. I'm going home.\n[00:20 - 00:29] Speaker B: That's okay, we'll just walk with you  to make sure you get home safely through this neighborhood, especially since it's getting dark out, but we understand if you want us to leave.\n[00:29 - 00:31] Speaker A: No! Leave me alone!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--970059.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Your Honor, I'm sorry for what happened. I know I shouldn't have been driving so fast through residential neighborhoods where children play, and I deeply regret my actions that put innocent lives at risk.\n[00:04 - 00:09] Speaker B: Mr. Natosha, you were speeding over twice the legal limit. You could have killed someone!\n[00:10 - 00:14] Speaker A: I know, Your Honor. It was stupid and reckless and I'm truly sorry.\n[00:15 - 00:28] Speaker B: Mr. Natosha, I don't think you understand how serious this is. If you had caused an accident, people could have been seriously injured or even  lost their lives in a tragic and completely preventable collision that would have devastated multiple families forever.\n[00:29 - 00:32] Speaker A: I do understand, Your Honor. I am sorry.\n[00:33 - 00:40] Speaker B: Mr. Natosha, I'm going to give you a chance to prove that you're sorry. I'm going to sentence you to 200 hours of community service.\n[00:40 - 00:42] Speaker A: Yes, Your Honor. Thank you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--560596.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey John! I'm so glad you came over.\n[00:03 - 00:06] Speaker B: Hey Celest! I was just in the neighborhood and thought I'd stop by.\n[00:07 - 00:08] Speaker A: So what's been up?\n[00:08 - 00:11] Speaker B: Not much, just hanging out with friends and stuff.\n[00:11 - 00:14] Speaker A: That sounds fun. I wish I could do that more often.\n[00:15 - 00:21] Speaker B: Yeah, it is fun. But I don't want to do it all the time. You know, sometimes it's nice to just stay home and relax.\n[00:21 - 00:55] Speaker A: Yeah, I know what you mean. It's like, when you're always out and about, you never really get a chance to appreciate your own company. And then when you're by yourself, you realize how great it can be just to have some peace and quiet for once! (She laughs) But seriously though, I do get lonely sometimes. It would be nice to have someone to spend more time with… like someone who truly understands me and enjoys the same things I do, someone who appreciates quiet moments as much as fun outings, and who values deep conversations over small talk.\n[00:42 - 00:50] Speaker B: Like me? Are you saying you want us to hang out more often? Because, honestly, I was thinking the same thing. We always have a good time together.\n[00:51 - 00:57] Speaker A: Yeah, exactly. I feel like we really get each other, and it's just easy being around you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--810606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, dad.\n[00:01 - 00:03] Speaker B: Hey, son. How are you doing?\n[00:03 - 00:07] Speaker A: I'm okay. I've just been staying away from the lake for a while.\n[00:07 - 00:12] Speaker B: I can understand that. It must be hard for you to go back there after what happened.\n[00:12 - 00:26] Speaker A: Yeah, it is. I feel guilty about what happened and I don't want to see the place where it all happened because every time I go near the water, I get flashbacks of that terrible day and all the what-ifs start flooding my mind.\n[00:17 - 00:23] Speaker B: Sorry to interrupt, but have you thought about talking to a therapist? It might help you process what you're feeling.\n[00:23 - 00:30] Speaker A: I haven't really considered that. I just feel so ashamed of what I did and I don't want to see anyone.\n[00:30 - 00:34] Speaker B: You need to face your guilt. You can't keep running away from it.\n[00:34 - 00:40] Speaker A: I know, but it's so hard. I'm ashamed of what I did and I don't want to see anyone.\n[00:40 - 00:53] Speaker B: You need to forgive yourself, son. What happened was an accident and you can't keep living in guilt and shame because  it will only make things worse for you in the long run, affecting your mental health, relationships, and ability to move forward with your life in a positive way.\n[00:54 - 00:58] Speaker A: But dad, what if people don't understand? What if they blame me?\n[00:58 - 01:06] Speaker B: It's natural to worry about that, but you can't control how others feel. You can only control how you deal with your own emotions. It will eat you alive.\n[01:07 - 01:09] Speaker A: I know, dad. I'll try to let it go.\n[01:10 - 01:11] Speaker B: That's all we can ask for, son."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--27446.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Sarah. I've been meaning to talk to you about something important.\n[00:04 - 00:05] Speaker B: What is it? You sound serious.\n[00:06 - 00:21] Speaker A: I am. I'm thinking about running for a local office position in the upcoming election because I've been deeply involved in community issues for years and have developed strong relationships with key stakeholders who could support my campaign.\n[00:09 - 00:13] Speaker B: Running for office? Wow, that's huge! What made you decide that?\n[00:13 - 00:36] Speaker A: Honestly, I just feel like I could make a difference. There's a lot of problems in our community that need to be addressed, and I feel like I could be a voice for the people. Plus, I really believe in public service and  the impact it can have on improving people's lives through thoughtful policy-making, community engagement, and creating sustainable solutions to long-standing issues.\n[00:37 - 00:47] Speaker B: Public service is definitely a noble cause, but have you thought about the challenges? It's not just about helping; it's also about navigating politics and dealing with a lot of stress.\n[00:47 - 00:54] Speaker A: Yeah, I know. But I'm willing to put in the work if it means that I can help make our community a better place.\n[00:54 - 01:01] Speaker B: Well, I think that's admirable. And if you really believe in it, then I support you. Just know that I'm here for you, no matter what happens."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--940934.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey boss, what's up?\n[00:01 - 00:04] Speaker B: Not much, just getting some work done. What about you?\n[00:05 - 00:22] Speaker A: I'm just doing my job like always. I know I can always do better and I'm never satisfied with my current performance because I believe there's always room for growth in both technical skills and professional development. I always strive to improve and push myself further.\n[00:12 - 00:18] Speaker B: Sorry to jump in, but I wanted to ask—do you feel like there's something specific holding you back from reaching that next level?\n[00:19 - 00:27] Speaker A: Sometimes it feels like I could use more feedback to know exactly where I stand. But I just want to be the best I can be. That's all I can do.\n[00:28 - 00:31] Speaker B: We appreciate that attitude. Keep up the good work."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1177869.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, boss. I wanted to talk to you about something.\n[00:03 - 00:04] Speaker B: What's up?\n[00:04 - 00:07] Speaker A: Well, I think there might be a problem with my job.\n[00:08 - 00:08] Speaker B: What do you mean?\n[00:09 - 00:10] Speaker A: I'm color blind.\n[00:11 - 00:21] Speaker B: Oh, wow. I had no idea. How long have you been dealing with this condition and has it affected your ability to perform certain tasks in previous jobs or daily life activities?\n[00:13 - 00:25] Speaker A: Sorry to cut you off, but it's been like this as long as I can remember. It's never been a problem before, but now that I'm working with color-coded materials, it's becoming more of an issue.\n[00:25 - 00:27] Speaker B: Have you talked to anyone else about this?\n[00:28 - 00:40] Speaker A: Just my wife. She was the one who suggested that I talk to  you about this situation, since you've always been supportive of finding solutions to workplace challenges and implementing reasonable accommodations when needed.\n[00:41 - 00:46] Speaker B: I see, and have you thought about any specific accommodations that might help you with the color-coded tasks?\n[00:47 - 00:56] Speaker A: I haven't really thought about specific solutions yet, but maybe we could look into tools or software that could assist with color differentiation."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--861085.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, I'm looking for something new to try. What do you have?\n[00:04 - 00:13] Speaker B: We have a lot of different fruits and vegetables. What are you looking for specifically? Are you in the mood for something sweet, tangy, or maybe something with a unique texture?\n[00:13 - 00:17] Speaker A: Honestly, I don't really know. Something that I've never tried before.\n[00:17 - 00:23] Speaker B: Well, we have a lot of exotic fruits from different parts of the world. What do you think about trying one of those?\n[00:23 - 00:26] Speaker A: That sounds great! I'll try one of those.\n[00:26 - 00:37] Speaker B: Great! We have a few different ones to choose from. Which one would you like to start with? Maybe something that's a bit more familiar like mango or pineapple, or something completely out of the ordinary like durian or jackfruit?\n[00:30 - 00:34] Speaker A: Sorry, I have no idea...which one do you recommend?\n[00:34 - 00:43] Speaker B: Well, our most popular exotic fruit is the dragon fruit. It's native to Central America and it's very sweet and delicious. Would you like to try that one?\n[00:43 - 00:45] Speaker A: Yes, I'll try the dragon fruit.\n[00:46 - 00:47] Speaker B: Great! I'll get you one.\n[00:48 - 00:48] Speaker A: Thank you!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--189460.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, can I talk to you for a sec?\n[00:02 - 00:03] Speaker B: Yeah, what's up?\n[00:03 - 00:22] Speaker A: I was hoping we could talk about my salary. I know I've been with the company for a while now and I feel like I'm worth more than what I'm currently being compensated, especially considering the additional responsibilities I've taken on recently and the measurable impact my work has had on our quarterly results.\n[00:12 - 00:21] Speaker B: Sorry to jump in, but before we dive into that, have you had a chance to review the recent performance evaluations? I think they might give us a clearer picture of where you stand.\n[00:21 - 00:38] Speaker A: I have looked at them, and honestly, they only reinforce my belief that I deserve a raise. I work hard and I'm one of the most valuable employees here. Surely there's some room for negotiation, especially since my performance has consistently exceeded expectations.\n[00:38 - 00:48] Speaker B: I hear you, and I appreciate your dedication. But before we talk numbers, can we discuss how we can align your contributions with the company's goals to justify a potential raise?\n[00:48 - 00:52] Speaker A: That makes sense. Let's figure out how we can make that happen."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--677647.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Ameria. I was just thinking about you and wanted to talk to you.\n[00:05 - 00:07] Speaker B: What's up, Kevonte? What's on your mind?\n[00:07 - 00:21] Speaker A: I was just thinking about how much you mean to me and how grateful I am to have you in my life, especially during tough times when I feel lost and uncertain about the future, your support always helps me find my way back.\n[00:12 - 00:17] Speaker B: Sorry to jump in, Kevonte, but I just remembered—did you get a chance to read that letter I sent you last week?\n[00:18 - 00:24] Speaker A: Oh, I haven't had the chance yet. But I wanted to let you know that I really appreciate you being there for me.\n[00:24 - 00:29] Speaker B: Of course, Kevonte. I'm always here for you. You're my best friend and I love you.\n[00:29 - 00:31] Speaker A: I love you too, Ameria."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--821468.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:04] Speaker B: Not much. Just hanging out. What about you?\n[00:04 - 00:16] Speaker A: I'm doing great! I just tried this new thing where you jump over things and it's so much fun! It really gets your adrenaline pumping and makes you feel alive in a way that few other activities can.\n[00:09 - 00:13] Speaker B: Wait, jump over things? Like parkour or something? That sounds intense!\n[00:14 - 00:24] Speaker A: Yeah, kind of like parkour! It's just so exhilarating. I feel like I can do anything when I'm jumping over obstacles. It's almost like flying for a split second.\n[00:24 - 00:28] Speaker B: I don't know if I could ever do that. I mean, what if I fall or something?\n[00:29 - 00:39] Speaker A: That's the thing—you just have to trust yourself. You can be fearless too! Just try it next time there's something new to try. You'll see, it's really not that scary."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--781246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So you're just going to ignore me now?\n[00:02 - 00:03] Speaker B: What do you want me to say, Jackson?\n[00:04 - 00:06] Speaker A: I don't know, an apology would be nice.\n[00:07 - 00:07] Speaker B: For what?\n[00:08 - 00:21] Speaker A: You know what. This whole thing with Lucas. You've been flirting with him nonstop and it's really getting on my nerves, and it's making me feel like you don't respect my feelings or consider how this situation affects our friendship.\n[00:14 - 00:20] Speaker B: Sorry to interrupt, but are you sure you're not overreacting a bit? I mean, it's just harmless flirting.\n[00:20 - 00:26] Speaker A: So what if I am flirting with him? He's a free agent, and I can talk to whoever I want.\n[00:26 - 00:38] Speaker B: It's not just that. You've been hanging out with him a lot too, and I feel like you're trying to steal my  chance to get closer to him by constantly inserting yourself into every conversation and planning activities that exclude me.\n[00:39 - 00:46] Speaker A: Wait, let me clarify something. Are you actually dating Lucas, or is this just about your feelings for him?\n[00:46 - 00:51] Speaker B: Boyfriend? Please. He's not your boyfriend. You guys haven't even gone on a date yet.\n[00:51 - 00:57] Speaker A: That doesn't matter. I like him and I don't appreciate you swooping in and trying to take him away from me.\n[00:58 - 01:07] Speaker B: Oh, so now he's yours? Just because you like him? Sorry, but that doesn't work that way. People are free to date whomever they want, and there's nothing you can do about it.\n[01:08 - 01:12] Speaker A: Well maybe I'll just have to make sure he knows how I feel about him then.\n[01:12 - 01:18] Speaker B: And maybe I'll just keep doing what I'm doing and see where things go with Lucas. There's no harm in that, is there?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--310941.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Look, Lenny, I think it's time we ended this relationship.\n[00:03 - 00:04] Speaker B: What? Why?\n[00:05 - 00:14] Speaker A: I just don't think it's fair to either of us to keep going when my feelings have changed so dramatically over the past few months and I can no longer see a future together.\n[00:06 - 00:11] Speaker B: Wait, can we at least talk about this? I mean, what exactly isn't working out?\n[00:11 - 00:14] Speaker A: I just don't think we're compatible, that's all.\n[00:14 - 00:22] Speaker B: But I love you! Surely we can  try to work things out, maybe see a counselor or something that could help us understand each other better and possibly rebuild what we've lost?\n[00:23 - 00:27] Speaker A: Lenny, I'm sorry. I just don't feel the same way about you.\n[00:28 - 00:33] Speaker B: Fine. If that's how you feel, then I guess there's nothing left to say except goodbye.\n[00:33 - 00:34] Speaker A: Goodbye, Lenny."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--207527.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: So, what's the story behind this place? It's got a pretty interesting atmosphere.\n[00:05 - 00:22] Speaker B: Oh, it's been around for a while. It used to be a pretty rowdy place, but we've toned it down a bit in recent years. Still, it's a popular spot for locals and tourists who are looking for a place to relax and enjoy some good company while experiencing the unique blend of history and modern comfort that we've carefully cultivated here.\n[00:13 - 00:21] Speaker A: Sorry to jump in, but when you say \"rowdy,\" do you mean it had a different kind of crowd or just a different vibe overall?\n[00:21 - 00:35] Speaker B: A bit of both, actually. The crowd was definitely more rambunctious, and the vibe was more chaotic. We made some changes to attract a more laid-back clientele. We want people to feel like they can come here and escape the hustle and bustle of the city for a while.\n[00:36 - 00:40] Speaker A: I can definitely appreciate that. I think more places should be like this.\n[00:41 - 00:47] Speaker B: Yeah, we get a lot of positive feedback from our customers. They say it's one of the things they love most about this place.\n[00:48 - 00:53] Speaker A: That's great to hear! I'm sure you guys work hard to make it a welcoming environment.\n[00:53 - 00:54] Speaker B: We do our best!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1106201.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey friends, what's up?\n[00:01 - 00:09] Speaker B: Hey Aleyda. Not much, what's up with you lately? You seem a bit off and we've noticed you've been acting differently during our group activities.\n[00:04 - 00:09] Speaker A: Actually, I was just wondering why you guys are avoiding me lately. Is there something wrong?\n[00:09 - 00:21] Speaker B: No, it's just that you always seem to be the one trying to be the center of attention, and we don't really like being in the middle of things because it makes us feel pressured to match your energy level all the time. We prefer to stay low-key.\n[00:21 - 00:31] Speaker A: Wait, you think I'm trying to be the center of attention? I was just trying to be friendly and participate in class. I didn't realize it was coming off that way.\n[00:31 - 00:37] Speaker B: It's not a bad thing, it's just that we prefer to keep to ourselves and not be in the spotlight all the time. That's all.\n[00:38 - 00:44] Speaker A: Oh, I see. Well, I'm sorry if I made you feel uncomfortable. I'll try to tone it down a bit from now on."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--108309.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: Hey, friends! Thank you so much for the gifts. I really appreciate the thoughtfulness behind each one of them and how perfectly they match my interests and personality - it shows how well you know me!\n[00:03 - 00:08] Speaker B: Sorry to jump in, but we were just so happy to help out. It's the least we could do.\n[00:08 - 00:22] Speaker A: Actually, I wanted to do something for you in return. So, I went out and bought a gift for each of you to show how much your kindness means to me, spending hours carefully selecting items I knew would bring you genuine joy and appreciation.\n[00:23 - 00:25] Speaker B: Rhett, you didn't have to do that!\n[00:25 - 00:30] Speaker A: I know, but I wanted to. So, here you go. (Gives each friend a gift.)\n[00:31 - 00:33] Speaker B: Thank you, Rhett! This is really thoughtful of you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--911067.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Sarah. How are you doing today?\n[00:02 - 00:14] Speaker B: Good, thanks. I'm just getting ready for my math test. I'm a little worried about forgetting some of the formulas, especially the more complex trigonometric identities and calculus equations we've been studying this semester.\n[00:06 - 00:28] Speaker A: Nervous? That's understandable. Math can be tough sometimes. But I know you're capable of doing great things. You've been working hard in class and I have full faith in you. Just take a deep breath and remember to pace yourself carefully throughout the entire exam duration, making sure to allocate appropriate time for each section while leaving room for review at the end.\n[00:27 - 00:30] Speaker B: Actually, do you have any last-minute tips for staying calm during the test?\n[00:31 - 00:39] Speaker A: Sure, focus on the questions you know first, and then go back to the tougher ones. That way, you build confidence as you go. You'll do fine.\n[00:40 - 00:44] Speaker B: Thank you, Ms. Martinez. Just knowing that you believe in me makes me feel better already."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--289733.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Sarah! What's up?\n[00:02 - 00:06] Speaker B: Not much. Just getting ready for my track meet tomorrow. I'm really nervous though.\n[00:07 - 00:10] Speaker A: Why are you nervous? You're one of the best runners on the team!\n[00:11 - 00:29] Speaker B: I know, but I just feel like I have a lot to prove. My mom is coming to watch me tomorrow and I really want to make her proud. Plus, there's this one girl on the other team who's been trash talking me all week and I really want to show her that I can beat her fair and square while maintaining my composure and demonstrating true sportsmanship regardless of the outcome.\n[00:22 - 00:29] Speaker A: Wait, did you say she's been trash talking you? That's so unfair! How are you handling that?\n[00:29 - 00:40] Speaker B: It's been tough, but I'm trying to stay focused. Well, I think you're going to do great! Just focus on your own race and don't worry about anyone else. And remember, even if you don't win, your mom will still be proud of you.\n[00:40 - 00:50] Speaker A: Absolutely, and about that girl, maybe you can use her words as motivation to push yourself even harder. Thanks, Hadleigh. I really appreciate your support.\n[00:50 - 00:52] Speaker B: No problem! Good luck tomorrow!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--68508.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm just not sure if this is what I want anymore.\n[00:03 - 00:13] Speaker B: What do you mean? We've been together for months now, and things were going so well, or at least I thought they were. We had all those plans for the summer and you seemed genuinely happy when we went to the beach last weekend.\n[00:06 - 00:13] Speaker A: I don't know. I just feel like we're on two different wavelengths. It doesn't feel like we're really connecting anymore.\n[00:13 - 00:18] Speaker B: Maybe we just need to communicate more. I'm always open to talking about whatever is on your mind.\n[00:19 - 00:23] Speaker A: It's not that simple. I just don't think this is what I want right now.\n[00:23 - 00:29] Speaker B: Why? Is there someone\n[00:33 - 00:42] Speaker A: No, it's not that. It's just...I don't know, everything feels so heavy and complicated right now. I need some time to figure things out on my own.\n[00:43 - 00:48] Speaker B: I can't believe you're saying this. We've been through so much together. I thought we were in this for the long haul.\n[00:48 - 00:52] Speaker A: I'm sorry, Casen. I just can't do this right now.\n[00:52 - 00:55] Speaker B: Fine. If that's what you want, then I guess we're done."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--719833.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hank, what are you hiding from me?\n[00:02 - 00:04] Speaker B: I'm not hiding anything.\n[00:04 - 00:17] Speaker A: Yes, you are. I can tell by the way you're acting. You're being secretive and won't tell me what's going on. What exactly is it that you're not telling me? I deserve to know the truth after everything we've been through together.\n[00:11 - 00:14] Speaker B: Fine, I'll tell you. But you have to promise not to get mad.\n[00:15 - 00:18] Speaker A: I won't get mad, I promise. Now spill it.\n[00:18 - 00:22] Speaker B: Okay, here goes...I've been seeing someone else behind your back.\n[00:22 - 00:34] Speaker A: Who is it? And how long has this been going on? I need to know every single detail right now because  this is completely unacceptable and I can't believe you'd betray my trust like this.\n[00:34 - 00:38] Speaker B: His name is Jason and we've been seeing each other for a few weeks now.\n[00:38 - 00:44] Speaker A: How could you do this to me? We've been together for two years and you just go and cheat on me?\n[00:44 - 00:54] Speaker B: Liani, I'm sorry. It just happened. I didn't mean for it to happen, but it did and there's nothing either of us can  do to change the past now that the truth is out in the open between us.\n[00:55 - 00:57] Speaker A: Well, we can break up for one thing!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--486716.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: This dinner was amazing. I'm so full, but it was all delicious, and I couldn't stop myself from eating more because each dish was perfectly seasoned and had such wonderful textures that complemented each other beautifully.\n[00:04 - 00:10] Speaker B: Sorry to interrupt, but I just wanted to say how much I appreciate you saying that. It means a lot to me.\n[00:11 - 00:14] Speaker A: I'm glad you enjoyed it! I had a great time cooking for you.\n[00:15 - 00:17] Speaker B: You're an excellent cook. Everything tasted so good.\n[00:18 - 00:20] Speaker A: Thank you, Kambrie. I'm glad you liked it.\n[00:20 - 00:30] Speaker B: I did. I'm really glad we got to spend some time  catching up and just enjoying each other's company without any distractions or worries about work or other obligations that usually take up our time.\n[00:31 - 00:35] Speaker A: Together, yes, me too. Kambrie, can I ask you something?\n[00:36 - 00:37] Speaker B: Of course, what is it?\n[00:38 - 00:40] Speaker A: How do you feel about relationships?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--843172.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I saw you talking to that guy earlier. What were you really meeting him for?\n[00:04 - 00:14] Speaker B: I wasn't meeting him for anything. I was just talking to him about a project we're working on together that involves some sensitive financial data which is why we needed to discuss it in private.\n[00:07 - 00:09] Speaker A: Why were you lying to me then?\n[00:09 - 00:21] Speaker B: I wasn't lying to you. I just didn't want to tell you the truth because I knew you wouldn't  understand why I had to discuss it with him privately since the project involves confidential client information that I'm legally bound to protect.\n[00:21 - 00:23] Speaker A: So you were lying by omission.\n[00:24 - 00:25] Speaker B: I guess you could say that.\n[00:25 - 00:27] Speaker A: Why can't you just be honest with me?\n[00:28 - 00:32] Speaker B: I am being honest with you. I just didn't tell you the whole truth because I knew you wouldn't approve.\n[00:33 - 00:34] Speaker A: But now I don't trust you.\n[00:35 - 00:39] Speaker B: Hasani, I'm sorry. I didn't mean to make you not trust me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--876226.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: Hey, Mom. I know I said I wanted to wear these overalls today, but I'm starting to regret it. People are staring at me and I feel really uncomfortable, like I made a mistake choosing this outfit because it stands out so much from what everyone else is wearing today.\n[00:08 - 00:15] Speaker B: Wait, Sammie, are you sure they're actually staring? Sometimes we just feel like everyone is looking when we're self-conscious.\n[00:15 - 00:17] Speaker A: Maybe... but I still feel embarrassed.\n[00:18 - 00:27] Speaker B: Don't be embarrassed, Sammie. You look cute in your overalls! And besides, who cares if people are staring? If they're staring, it's probably because they're jealous of how stylish you look!\n[00:28 - 00:29] Speaker A: I guess you're right. Thanks, Mom.\n[00:30 - 00:33] Speaker B: Of course, honey! Now go have fun and forget about what everyone else thinks!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1096861.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Evander, I'm sorry about what happened at the party last night.\n[00:04 - 00:09] Speaker B: It's not your fault, Dexter. I was the one who got too drunk and made a fool of myself.\n[00:09 - 00:26] Speaker A: Yeah, but I should have stopped you from drinking so much. I knew you were already pretty buzzed when we arrived and I didn't do anything to slow you down or suggest we take it easy, even though I could clearly see you were heading towards trouble with how quickly you were downing those shots.\n[00:17 - 00:25] Speaker B: Dexter, I appreciate your concern, but honestly, I made the choice to keep drinking. You didn't force me to do anything.\n[00:25 - 00:33] Speaker A: I know, but I feel like I could have done more to prevent it from getting out of hand. I should have been a better friend in that moment.\n[00:33 - 00:37] Speaker B: Look, seriously, it's not your fault. Let's just forget about it and move on.\n[00:38 - 00:41] Speaker A: Alright, if you're sure you're not mad at me.\n[00:42 - 00:48] Speaker B: I'm not mad at you, Dexter. I'm just embarrassed about what happened. Thanks for being a good friend and having my back."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--857144.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Wow, that was a really long fall. I'm lucky to be alive after that terrifying experience - the ground was coming at me so fast and I thought for sure I wouldn't make it.\n[00:05 - 00:10] Speaker B: You're very lucky indeed. Let me take a look at you and see if you have any injuries.\n[00:10 - 00:16] Speaker A: I don't think so. I don't feel anything broken or any sharp pain, but it's hard to tell for sure.\n[00:16 - 00:23] Speaker B: Wait, before you say that, can you move your arms and legs? Just to be sure there's no pain or stiffness.\n[00:23 - 00:35] Speaker A: Oh, okay. Yeah, I can move them just fine. I was about to say I don't feel anything broken or  anything particularly concerning, though there is some general soreness throughout my body from the impact.\n[00:36 - 00:43] Speaker B: That's good. We'll get you to the hospital and have some x-rays just to be sure. You may have internal bleeding, so we need to keep an eye on you.\n[00:44 - 00:48] Speaker A: Okay, that makes sense. Thank you for taking care of me.\n[00:48 - 00:52] Speaker B: You're welcome, Cadin. Just try to relax and we'll have you at the hospital in no time."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--30336.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Sarah! I'm so glad to see you!\n[00:03 - 00:07] Speaker B: Hey, Renesmee! I'm happy to see you too! How are you doing today?\n[00:07 - 00:21] Speaker A: I'm doing great today! I love exploring and playing games. Do you want to play a game of fetch with me in the park later? We could bring some tennis balls and maybe even invite some other friends to join us for an afternoon of fun activities.\n[00:14 - 00:19] Speaker B: Oh, fetch sounds fun! But I was wondering, do you have any other favorite games we could try later?\n[00:20 - 00:30] Speaker A: That sounds like fun! I would love to play a game of fetch with you. Maybe after that, we can try some other games too. Alright, let's go!\n[00:30 - 00:35] Speaker B: Absolutely, let's start with fetch and then we can see what else we feel like doing!\n[00:35 - 00:44] Speaker A: Renesmee and Sarah seem to be having a great time playing fetch together. Sarah is laughing and Renesmee looks like he's having a blast running around."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--822773.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I can't believe it! I won the Powerball jackpot!\n[00:03 - 00:06] Speaker B: Oh my god, Kayden! Congratulations! That's amazing news!\n[00:06 - 00:18] Speaker A: I know, I still can't believe it myself. It's like a dream come true, you know? I keep checking the ticket over and over just to make sure this isn't some kind of elaborate prank or mistake.\n[00:11 - 00:14] Speaker B: What are you going to do first? Have you already made any plans?\n[00:14 - 00:35] Speaker A: First of all, I'm going to quit my job. I've been working at that place for far too long and I'm ready for a change. Then I'm going to buy a new house and a new car. And after that, I'm going to  make sure my family is taken care of by setting up trust funds for my parents and siblings, as well as donating to several charities that are close to my heart.\n[00:35 - 00:40] Speaker B: Wait, quitting your job? Are you sure you want to make such a big decision right away?\n[00:40 - 00:53] Speaker A: Absolutely, I've thought about it for a long time. But I was saying, after that, I'm going to travel the world. There are so many places I've always wanted to see and now I finally have the means to do it.\n[00:53 - 00:56] Speaker B: That sounds amazing, Kayden. You deserve all this good luck."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--417260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: Hey, Sarah! I'm so glad you're here. I've been dying to tell you all about my new diet. It's amazing, I've lost 10 pounds in just two weeks, and I can't believe how much energy I have now. My doctor actually approved the plan and said my blood work looks better than ever before.\n[00:08 - 00:17] Speaker B: Wow, 10 pounds? That's impressive, Ericka. But, are you sure this diet is safe? Sometimes rapid weight loss can be a bit concerning.\n[00:18 - 00:50] Speaker A: Yeah, I totally understand your concern, but I've been really careful about it. I did a lot of research before starting, and it's not just about losing weight; it's about feeling healthier overall. I mean, it was really hard at first, but once I got used to it, it was a breeze. Plus, now that I'm thinner, I feel so much better about myself. You should really try it too, Sarah. It's not as hard as you\n[00:51 - 01:01] Speaker B: Ericka, I appreciate the suggestion, but honestly, I'm really content with where I am right now. I think it's important to love our bodies as they are, don't you think?\n[01:01 - 01:09] Speaker A: I get that, Sarah, and self-love is so important. I just want you to feel as great as I do. But I totally respect your choice."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--15103.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I can't believe I dropped my phone.\n[00:02 - 00:03] Speaker B: Let me take a look.\n[00:03 - 00:16] Speaker A: There's a crack in the screen. Do you think it's expensive to get it fixed at one of those specialized repair shops, or should I just consider upgrading to a newer model since this one is already two years old?\n[00:08 - 00:13] Speaker B: Probably. But before you worry about that, you should get a case for it so it doesn't happen again.\n[00:14 - 00:17] Speaker A: Yeah, good idea. Did you check the time?\n[00:17 - 00:26] Speaker B: Yeah, I was just about to leave for my  appointment with the dentist downtown, but I can stay a bit longer if you need help with finding a good repair service or anything else.\n[00:26 - 00:31] Speaker A: Wait, before you go, do you want me to call the repair shop and ask about the cost?\n[00:32 - 00:35] Speaker B: That would be great, thanks. Okay, have a good meeting. I'll see you later tonight.\n[00:36 - 00:37] Speaker A: Alright, love you.\n[00:38 - 00:39] Speaker B: Love you too."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--296467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Stephan. I'm really sorry about breaking your vase. It was an accident.\n[00:05 - 00:05] Speaker B: What happened?\n[00:06 - 00:21] Speaker A: I was moving too fast and I accidentally knocked it over. I know how much you loved that vase and I feel really guilty about it because I remember how you always talked about its sentimental value and the memories attached to it from your grandmother's collection.\n[00:12 - 00:16] Speaker B: Wait, was it the one I got from my grandmother? The one with the blue patterns?\n[00:17 - 00:20] Speaker A: Yes, that one. I feel terrible about what happened.\n[00:20 - 00:23] Speaker B: It's not your fault. These things happen. Accidents happen.\n[00:24 - 00:28] Speaker A: Yeah, but still. I feel bad about it and I want to make it up to you somehow.\n[00:29 - 00:35] Speaker B: There's nothing you can do, Jamon. Just forget about it and move on. I don't want you to keep feeling bad about this.\n[00:36 - 00:45] Speaker A: I can't just forget about it, Stephan. That vase meant a lot to you. Are you sure there's nothing I can do? Please, let me try to make it right somehow.\n[00:46 - 00:56] Speaker B: Fine, if it will make you feel better, go ahead and try to make it up to me  by finding a similar vase or creating something meaningful that could honor the memory of my grandmother's cherished possession."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--420707.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, what do you think about the situation we're in?\n[00:03 - 00:11] Speaker B: Honestly, I'm not sure. It's a lot to process, and I feel like we're dealing with so much at once that it's becoming overwhelming to handle everything by ourselves.\n[00:05 - 00:13] Speaker A: Sorry to interrupt, but do you think we should talk to someone else about this? Maybe getting another perspective could help.\n[00:13 - 00:20] Speaker B: That's a good idea, but I think we also need to stay strong ourselves. We'll get through this if we keep supporting each other like we always have.\n[00:21 - 00:28] Speaker A: Together. Yes, I believe that too. I don't know what I would do without you, Aryah. You've always been there for me.\n[00:29 - 00:32] Speaker B: And I will always be there for you, Tatiyana. You're my best friend.\n[00:33 - 00:35] Speaker A: Thank you. I appreciate that."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--187351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, can I help you with something?\n[00:02 - 00:05] Speaker B: Yeah, I'm looking for the new iPhone.\n[00:05 - 00:18] Speaker A: We don't have that here, sorry. Is there anything else I can help you find today? We have a wide selection of accessories and other devices that might interest you, including cases, headphones, and smartwatches.\n[00:09 - 00:13] Speaker B: Oh, that's too bad. Do you know when you'll be getting it in stock?\n[00:13 - 00:24] Speaker A: Unfortunately, I don't have that information right now. But we do have some other phones that are similar. We have the Samsung Galaxy S9 and the Google Pixel 2. Would either of those work for you?\n[00:25 - 00:27] Speaker B: Yeah, the Galaxy S9 is fine.\n[00:27 - 00:32] Speaker A: Great! We have them in both black and blue, depending on your preference.\n[00:32 - 00:38] Speaker B: Actually, before I decide, can you tell me if there are any promotions or discounts available on the Galaxy S9?\n[00:39 - 00:55] Speaker A: We don't have any promotions on the Galaxy S9 at the moment, but I can check if there are any upcoming deals. So, as I was saying, we have it in both black and  blue, and both colors come with a one-year manufacturer's warranty and a free screen protector.\n[00:55 - 00:56] Speaker B: Blue, please.\n[00:57 - 00:59] Speaker A: Alright, let me grab that for you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--682132.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, what do you think?\n[00:01 - 00:13] Speaker B: Well, it's certainly an interesting idea. I'm not sure if it would work in practice, but it's worth exploring further to see how feasible it is given our current resources and the potential impact it could have on the community.\n[00:07 - 00:13] Speaker A: Sorry to jump in, but when you say you're not sure if it would work in practice, do you have specific concerns in mind?\n[00:14 - 00:18] Speaker B: Yeah, I've been thinking about it for a while. I'm just not sure how to make it happen.\n[00:19 - 00:26] Speaker A: Well, it would take a lot of planning and coordination, but I think it could be managed if we break it down into smaller, more manageable steps.\n[00:27 - 00:33] Speaker B: Right, but before we dive into planning, do we have any initial resources or contacts that could help us get started?\n[00:33 - 00:42] Speaker A: We would need to find a way to get the word out to people who might be interested. And then we would need to set up some kind of system to collect the food donations.\n[00:43 - 00:47] Speaker B: Yeah, that's a lot of work. But I think it's worth it if we can help people in need.\n[00:48 - 00:54] Speaker A: Absolutely. I'm sure there are many people who would be willing to help with this project. Let's see if we can make it happen!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1085362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: I'm so tired. I can't wait to get home and take a nice, long nap that will hopefully recharge my energy and help me feel refreshed for tomorrow's busy schedule.\n[00:03 - 00:08] Speaker B: Sorry to cut in, but before you doze off, did you remember to send that email to the client?\n[00:08 - 00:15] Speaker A: Oh, I completely forgot about that. I'll do it first thing when I get home. But honestly, I just want to take a nap.\n[00:16 - 00:20] Speaker B: Yeah, I know how you feel. I'm exhausted too. It's been a long day.\n[00:20 - 00:25] Speaker A: It sure has. I don't know about you, but I'm ready for it to be over.\n[00:25 - 00:30] Speaker B: Me too. I can't wait to just relax and not have to worry about anything for a while.\n[00:31 - 00:37] Speaker A: That sounds great. I think I'm going to close my eyes and try to get some sleep as soon as I finish that email.\n[00:38 - 00:41] Speaker B: Just one more thing—did you lock up the office before we left?\n[00:42 - 00:45] Speaker A: Yes, I did. Now, I really need that nap.\n[00:46 - 00:49] Speaker B: Yeah, you should do that. I'm going to do the same thing."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1050100.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey coach. Thanks for giving me a chance to try out for the team.\n[00:04 - 00:16] Speaker B: You're welcome, Melvin. I was impressed with your skills out there today. You've got a lot of potential, and with some refinement, you could be a key player for us this season if you're willing to put in the extra hours of practice and conditioning work.\n[00:08 - 00:16] Speaker A: Coach, before you continue, I wanted to ask—what specific areas do you think I need to improve on to really make an impact on the team?\n[00:16 - 00:28] Speaker B: That's a good question. Your footwork is solid, but I noticed that your endurance could use some work, especially during the last part of the game. We could definitely use someone with your talent on our team. Are you interested in joining?\n[00:28 - 00:31] Speaker A: Absolutely! I would love to join the team."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--730476.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hi, welcome! Come on in, make yourselves comfortable. Can I get you anything to drink?\n[00:06 - 00:08] Speaker B: Oh, thank you. Water would be great.\n[00:08 - 00:25] Speaker A: Of course. Let me just put these things down and I'll be right back with your water. Make yourselves at home, there's plenty of food if you're feeling peckish, including some fresh homemade bread, assorted cheeses, and a variety of seasonal fruits that I picked up from the farmer's market this morning.\n[00:16 - 00:21] Speaker B: Actually, I wanted to ask, did you make that dip we loved from last time?\n[00:21 - 00:31] Speaker A: Yes, I did! It's right over there on the table. I was just going to say, if you're hungry, help yourselves to some appetizers. I'll get your water in a moment.\n[00:32 - 00:36] Speaker A: Sorry for the wait, the food is ready now. I hope you're all hungry!\n[00:37 - 00:38] Speaker B: Everything smells fantastic!\n[00:39 - 00:43] Speaker A: I'm so glad you like it. Let's start serving before it gets cold.\n[00:43 - 00:49] Speaker B: Oh, before we start, could you remind me what spices you used? The aroma is just incredible!\n[00:49 - 00:56] Speaker A: Sure! I used a mix of rosemary, thyme, and a bit of paprika. Now, let's dig in and enjoy!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--352805.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Karyn. What's up?\n[00:01 - 00:11] Speaker B: Nothing much. Just trying to stay out of your way because I don't want to deal with any more drama today and honestly, I'm just exhausted from all the tension between us lately.\n[00:04 - 00:09] Speaker A: Wait, Karyn, what do you mean by that? Are you saying I've been making you feel uncomfortable?\n[00:10 - 00:15] Speaker B: Yeah, well, it wasn't funny. And I'm sick of you putting me down all the time. I'm done with it.\n[00:16 - 00:28] Speaker A: Oh, really? You're done with it? Well, that's too bad, because I'm not ready to just let this go without a real conversation about why you suddenly think you can walk away from our friendship like this.\n[00:28 - 00:33] Speaker B: Not done with me yet? Well, guess what, I'm not scared of you anymore. So bring it on, bully.\n[00:34 - 00:38] Speaker A: Oh, I'll bring it on, all right. You're going to regret ever standing up to me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1180469.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm sorry to hear that, boss. What's wrong?\n[00:03 - 00:18] Speaker B: Well, it turns out that our sales projections for the quarter were way off. We're actually down by about 15% from where we thought we would be at this point in time, and this miscalculation has already affected our inventory planning and marketing budget allocations significantly.\n[00:11 - 00:16] Speaker A: 15%? That's a significant difference. What caused the discrepancy?\n[00:16 - 00:32] Speaker B: It looks like we made an error in our calculations. Somebody dropped a decimal point somewhere and it completely threw off our numbers. Indy, I need you to fix this as soon as possible so that we can get accurate sales projections for the rest of the quarter and adjust our strategy accordingly.\n[00:33 - 00:41] Speaker A: I'll get on it right away. Just to clarify, do you need me to recheck all the previous calculations, or should I focus on the projections moving forward?\n[00:42 - 00:49] Speaker B: Focus on the projections moving forward. We need accurate data to make decisions for the rest of the quarter. Can you do that?\n[00:49 - 00:52] Speaker A: Of course, boss. I'll take care of it right away."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--953260.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's going on?\n[00:02 - 00:16] Speaker B: Just having some family problems. My wife and I are fighting a lot lately and my kids are really struggling. I just don't know what to do to make things better, and it's really taking a toll on all of us emotionally and physically, especially with the added stress at work piling up.\n[00:09 - 00:16] Speaker A: I'm really sorry to hear that. Have you considered talking to a counselor? Sometimes an outside perspective can really help.\n[00:17 - 00:31] Speaker B: We've tried talking, but it just seems like we can't see eye to eye on anything anymore. And when we do talk, it just ends up in a big  argument that leaves us both feeling worse than before, with unresolved tension lingering for days and affecting our interactions with the kids.\n[00:31 - 00:42] Speaker A: I get that, but maybe instead of focusing on everything at once, you could start with just one issue. That way, it's less overwhelming and you might actually find some common ground.\n[00:42 - 00:48] Speaker B: That actually makes a lot of sense...I think we might give it a try. Thank you for the advice Ibrahim, it means a lot."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--616846.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I can't find my keys! I've looked everywhere.\n[00:03 - 00:04] Speaker B: Where did you last see them?\n[00:05 - 00:21] Speaker A: I had them in my hand when I came in the house. I put my purse down on the counter and now they're nowhere to be found. I don't understand how they just disappeared, especially since I clearly remember holding them when I walked through the front door just a few minutes ago.\n[00:10 - 00:16] Speaker B: Wait, did you check inside your purse? Sometimes we accidentally drop things in there without realizing.\n[00:16 - 00:24] Speaker A: Oh, I didn't think of that. Let me check... No, they're not in there. Let's retrace my steps. Where did I go after I came in?\n[00:25 - 00:30] Speaker B: Nowhere! I just came in and put my purse down. Then I started looking for my keys and they were gone.\n[00:30 - 00:34] Speaker A: Hmm, well maybe you left them outside. Did you lock the door when you came in?\n[00:35 - 00:44] Speaker B: Yes, I always lock the door. But maybe I didn't have them with me when I locked it. Oh no, what if I lost them somewhere between my car and the front door? I might have dropped them without noticing.\n[00:44 - 00:54] Speaker A: Between your car and the house? That's possible. Okay, don't panic. We'll find them. Let's start by checking outside to see if they're around your car or near the house anywhere.\n[00:54 - 00:58] Speaker B: Okay, good idea. I'll check around my car and you can look near the house.\n[00:59 - 01:00] Speaker A: Sounds like a plan."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--778927.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: I appreciate your concern, but I really need to get this project done. I'll be fine, I just have a few more things to wrap up before I can call it a night, including finalizing the presentation slides and reviewing the financial projections one last time.\n[00:06 - 00:17] Speaker B: Chaya, you can't stay up all night again. You've been doing this for weeks and it's taking a toll on your health. I know you're worried about the deadline, but if you don't take care of yourself, you won't be able to finish the project at all.\n[00:17 - 00:32] Speaker A: I know that, and I'm trying to be careful. But I can't afford to fall behind on this project. It's too  important to me, and I really want to make sure everything is perfect before the deadline because this could be my big break in the industry.\n[00:32 - 00:50] Speaker B: What's more important, your health or the project? You can always find another way to finish the project if you need to, but if you don't take care of yourself, you won't be able to do anything at all. Please, Chaya, just go to bed and get some rest. You can work on the project in the morning when you're fresh and rested. Trust me, it'll be better that way.\n[00:50 - 00:59] Speaker A: I appreciate your concern, but I think I'll be okay. I'm just going to work a little bit longer and then I'll go to bed. Thanks for talking with me though.\n[00:59 - 01:08] Speaker B: All right, Chaya, but please promise me you'll go to bed soon. And if you start feeling really tired or sick, please stop working and go to bed immediately, okay?\n[01:08 - 01:10] Speaker A: Okay, I promise."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--29039.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: Hey Khali, I picked up your favorite frozen pizza on the way home from work. It's in the oven cooking now, so it'll be ready in about 15 minutes with that perfect golden crust and bubbling cheese that you love so much. I thought it would be a nice surprise after your long day.\n[00:07 - 00:13] Speaker B: Oh, wow! Thanks Maleena, you're the best! I can't wait to dig in. Did you get the one with extra cheese?\n[00:13 - 00:20] Speaker A: Yeah, no problem. I know how much you love pizza, so I made sure to grab the extra cheesy one.\n[00:20 - 00:27] Speaker B: Seriously, thank you so much. This means a lot to me. I was actually thinking about grabbing something on the way, but now I'm glad I didn't.\n[00:28 - 00:33] Speaker A: Don't mention it. I just wanted to do something nice for you since you've been working so hard lately.\n[00:34 - 00:43] Speaker B: Well, I appreciate it more than you know. I'm going to go take a quick shower and then I'll be right out to enjoy the pizza with you. I really need to unwind after today.\n[00:43 - 00:47] Speaker A: Oh, no rush! The pizza still needs a few more minutes anyway.\n[00:48 - 00:50] Speaker B: Perfect, that gives me just enough time. See you soon!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--328835.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Hey Jeremey, thanks for the great blog posts. I was feeling a bit uninspired lately, but after reading your blog I'm feeling much more creative. I really appreciate you sharing your ideas and thoughts with the world.\n[00:14 - 00:30] Speaker B: Thanks Chantal, I'm glad you found my blog helpful. I love writing and sharing my ideas with others. It's great to hear that you're feeling more creative now. I'm always happy to offer any tips or advice if you ever need it, whether it's about overcoming creative blocks or developing new approaches to your projects.\n[00:23 - 00:31] Speaker A: Sorry to jump in, but I was curious about how you come up with your ideas. Do you follow a specific process or routine?\n[00:32 - 00:46] Speaker B: I do have a few techniques that I use regularly, like brainstorming and mind mapping. But I haven't mentioned how I also get inspiration from reading a lot of different sources and  observing everyday life around me, which often provides unexpected connections and sparks for new creative directions.\n[00:46 - 00:54] Speaker A: That's interesting! Speaking of different sources, do you have any book or blog recommendations that you find particularly inspiring?\n[00:55 - 01:04] Speaker B: Absolutely, I can share a few of my favorites. But first, you mentioned trying out some techniques from my blog to overcome creative blocks. Which ones are you planning to try?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1051089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Good morning! It's a beautiful day, isn't it?\n[00:02 - 00:12] Speaker B: Yes, it is. I can't believe how warm it is for this time of year. The temperature is nearly 10 degrees above average and the sunshine feels absolutely glorious on my skin.\n[00:05 - 00:12] Speaker A: Speaking of the warmth, do you think it might get too hot later? We might want to bring some water with us if we go for that walk.\n[00:13 - 00:18] Speaker B: That's a good point. I was just thinking that this might be the perfect day to go for a walk in the park.\n[00:18 - 00:24] Speaker A: That sounds like a great idea! I'm sure the flowers will be in bloom and the birds will be singing their hearts out.\n[00:25 - 00:30] Speaker B: Oh, and maybe we can stop by that little café on the way? I heard they have some new pastries.\n[00:31 - 00:36] Speaker A: That sounds lovely! And we can get some fresh air and exercise at the same time.\n[00:36 - 00:38] Speaker B: Sounds perfect to me. Let's go!\n[00:39 - 00:42] Speaker A: It's so nice to see kids enjoying themselves.\n[00:42 - 00:46] Speaker B: Yes, it is. It brings back memories of when we were young and carefree.\n[00:46 - 00:56] Speaker A: I know. Sometimes I wish I could go back to those days. But then I remember all the responsibilities I have now and I'm glad I'm an adult.\n[00:56 - 01:01] Speaker B: Me too. Being an adult comes with its own set of challenges, but it also has its rewards."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--324306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm sorry, I know you're disappointed.\n[00:02 - 00:10] Speaker B: It's okay, I understand that things don't always go as planned, especially when we've put in so much effort and preparation for this particular event.\n[00:04 - 00:07] Speaker A: No, it's not okay! I wanted to win so badly.\n[00:08 - 00:09] Speaker B: Why?\n[00:09 - 00:19] Speaker A: Because I don't like losing, and I know how much you wanted to win  and I didn't want to let you down after all the support and encouragement you've given me throughout this entire process.\n[00:20 - 00:27] Speaker B: I did, but honestly, what bothers me more is how much pressure we put on ourselves. Do you think we might be taking this too seriously?\n[00:28 - 00:34] Speaker A: Maybe, but it's hard not to when you're passionate about something. And I guess I just wanted us to have that moment together."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--271652.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I don't want to talk about it, Joey.\n[00:02 - 00:10] Speaker B: What? What is there to not want to discuss? We've always talked about everything important in our lives and shared our deepest thoughts without hesitation before.\n[00:04 - 00:05] Speaker A: Just drop it, okay?\n[00:06 - 00:17] Speaker B: No, I won't drop it. I want to know what's going on with you. You've been acting weird lately and I want to know  if there's something I can do to help you through whatever you're dealing with because that's what friends are for.\n[00:17 - 00:19] Speaker A: I told you, I don't want to talk about it.\n[00:20 - 00:24] Speaker B: Well, I do. And if you don't tell me what's going on, I'm going to keep asking until you do.\n[00:25 - 00:31] Speaker A: Fine. But this is the last time we're ever going to speak of this, okay? Promise me that.\n[00:31 - 00:34] Speaker B: I promise. Now tell me what's going on."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--925277.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: Hey, Sarah. I just finished painting the fence white and I feel really accomplished. It looks so nice and clean now!\n[00:07 - 00:18] Speaker B: That's great, Skai! I can imagine how satisfying it must feel to see the fruits of your hard work pay off after putting in all that effort and seeing such a dramatic transformation in your outdoor space.\n[00:13 - 00:21] Speaker A: Actually, it is! But you know what? I just realized I might have missed a spot on the back side. Do you think I should go back and check?\n[00:21 - 00:30] Speaker B: Hmm, it might be worth double-checking, especially if you want everything to look perfect. But even if you missed a spot, you still did a great job overall. I'm sure your dad is proud of you.\n[00:31 - 00:39] Speaker A: Yeah, he is. He always tells me that hard work pays off in the end, and I'm glad I was able to prove him right with this project.\n[00:39 - 00:50] Speaker B: That's terrific! Your dad is definitely wise to say that hard work pays off. It's so true in life in general—if you want something badly enough and are willing to put in the effort, you can achieve it.\n[00:50 - 00:59] Speaker A: Speaking of putting in effort, I was thinking about tackling the garage next. It's a bit of a mess, but I feel motivated after finishing the fence.\n[00:59 - 01:10] Speaker B: That sounds like a great idea! With your determination and the"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--692789.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I can't believe I missed my exam. I studied so hard and was really looking forward to taking the test.\n[00:06 - 00:09] Speaker B: Alida, I'm so sorry. What happened?\n[00:09 - 00:25] Speaker A: I don't know. I woke up this morning and realized that I had forgotten to set my alarm. By the time I realized it, it was too late to make it to the exam venue, and I just felt so helpless standing there knowing all my preparation was going to waste because of one simple mistake.\n[00:18 - 00:23] Speaker B: Oh no, did you try contacting your professor immediately to explain the situation?\n[00:23 - 00:30] Speaker A: I did, but the professor said that he wasn't giving any make-ups because the class is already behind schedule.\n[00:30 - 00:43] Speaker B: That doesn't seem fair. Maybe you could talk to him and explain what  an important opportunity this was for you and how much effort you put into preparing, including all those late nights studying and the sacrifices you made to be ready for this exam.\n[00:44 - 00:53] Speaker A: I tried, but he was quite firm about it. I'm just so upset right now. I worked so hard for this and I was really looking forward to taking the test.\n[00:53 - 00:56] Speaker B: It's okay, Alida. Things will work out."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1041859.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey boss, can I talk to you for a second?\n[00:02 - 00:04] Speaker B: Sure thing, Stanley. What's up?\n[00:04 - 00:22] Speaker A: I was hoping you could give me a raise. I've been working here for a while and I think I deserve recognition for the extra responsibilities I've taken on lately, including training new employees and managing two major projects that have significantly contributed to our department's success.\n[00:10 - 00:20] Speaker B: Stanley, you're a great employee and I appreciate all your hard work. However, we're currently experiencing financial difficulties and cannot afford to give raises at this time. I'm sorry.\n[00:21 - 00:40] Speaker A: Boss, with all due respect, I think that's BS and I deserve more than just a pat on the back. I've been putting in extra hours and taking on tasks that aren't even part of my job description, consistently going above and beyond what's expected of me while maintaining excellent performance metrics.\n[00:38 - 00:48] Speaker B: Stanley, watch your tone with me. I understand that you're upset but speaking to me like that is not going to get you what you want. Now if you'll excuse me, I have other matters to attend to.\n[00:48 - 00:52] Speaker A: That's it? You're just going to dismiss me like that?\n[00:52 - 00:56] Speaker B: Stanley, I'm sorry. There's nothing more I can do.\n[00:56 - 00:57] Speaker A: Fine."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--679971.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Mom.\n[00:01 - 00:03] Speaker B: Hey, sweetie. How are you feeling?\n[00:03 - 00:17] Speaker A: I'm feeling a lot better, thanks. My fever's gone and I'm starting to feel like I have more energy than before, enough that I was even able to finish my homework and read a chapter of my book today without feeling exhausted.\n[00:07 - 00:13] Speaker B: Oh, that's such a relief! Are you thinking about going back to school tomorrow, or do you want to wait another day?\n[00:13 - 00:18] Speaker A: I think I might be ready to go back tomorrow, but I'll see how I feel in the morning.\n[00:18 - 00:23] Speaker B: That sounds like a good plan. Just make sure you're really up for it before you head out.\n[00:23 - 00:26] Speaker A: I will, Mom. Thanks for checking on me.\n[00:26 - 00:29] Speaker B: Of course, baby. Get some rest now, okay?\n[00:30 - 00:32] Speaker A: Okay. Goodnight, Mom.\n[00:32 - 00:33] Speaker B: Goodnight."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115322.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: I was just reading about the current situation in Syria. What do you think is going to happen if the conflict continues at this pace, especially considering the humanitarian crisis and the potential for further regional destabilization?\n[00:05 - 00:10] Speaker B: Sorry to jump in, but do you think the international community is doing enough to address the crisis?\n[00:10 - 00:27] Speaker A: I'm not sure. It's hard to say. I know that there are a lot of people who are suffering and I hope that something can be done to help them. But regarding the international community, I feel like we should be doing more. It's just so sad to see all the violence and destruction.\n[00:28 - 00:37] Speaker B: I know. Sometimes it feels like the world is falling apart. But we have to keep hope alive, right? Otherwise, what's the point of all our efforts if we lose hope?\n[00:37 - 00:46] Speaker A: Absolutely, but what I was going to say is, do you think putting more pressure on the Syrian government could actually make a difference?\n[00:46 - 00:55] Speaker B: I think it could, but only if it's coupled with significant aid to the people who are suffering. We can't just focus on the government; we have to help the civilians too.\n[00:55 - 00:59] Speaker A: I agree. I think those are both very important things.\n[00:59 - 01:06] Speaker B: Yeah. I just wish we could do more. It feels like we're just sitting around watching this tragedy unfold and not doing enough to help.\n[01:07 - 01:12] Speaker A: I know how you feel. But sometimes all we can do is hope and pray for the best."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--218634.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:21] Speaker A: At yesterday's meeting, we discussed the new project plan and decided to start implementing it next quarter. This plan mainly involves resource allocation and team collaboration. We hope to increase our productivity and streamline communication between departments during the execution phase by implementing weekly cross-functional syncs and establishing clear KPIs for each team member.\n[00:11 - 00:18] Speaker B: Sorry to interrupt, I just thought of a question, about our existing budget, is it enough to support the implementation of this plan?\n[00:19 - 00:38] Speaker A: This plan does need more financial support, but we have also considered some additional sources of funding. However, I haven't mentioned our application of automation tools which could potentially reduce some costs in the long run by minimizing manual errors and optimizing our workflow processes across multiple departments.\n[00:40 - 00:50] Speaker B: Automation tools are certainly important, but I am more concerned about whether our team's current skills can match the requirements of these tools. Do you think we need to schedule additional training sessions?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--766234.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi there! Are you looking for a new pair of shoes?\n[00:03 - 00:05] Speaker B: Yes, I am. I need a new pair of running shoes.\n[00:06 - 00:14] Speaker A: Great! We have a great selection of running shoes. Let me show you what we have. (Luigi shows the customer several pairs of running shoes.)\n[00:15 - 00:18] Speaker B: These all look great. It's hard to decide.\n[00:18 - 00:34] Speaker A: Yes, it can be tough to choose sometimes. But don't worry, we have plenty of time. Take your time and pick the pair that you like the most, and I can help you with any specific features you need, such as cushioning, breathability, or specialized support for your running style.\n[00:26 - 00:31] Speaker B: Actually, before I decide, do these shoes have good arch support? I need something that will help with that.\n[00:31 - 00:43] Speaker A: Absolutely, most of our running shoes are designed with excellent arch support. You can try them on to see how they feel. OK, I think I'll try these on. (The customer tries on a pair of shoes.)\n[00:43 - 00:44] Speaker A: How do they feel?\n[00:45 - 00:48] Speaker B: They're comfortable, but I'm not sure if I like the color.\n[00:48 - 00:54] Speaker A: Well, let's take a look at some other options. (Luigi shows the customer several more pairs of shoes.)\n[00:54 - 01:02] Speaker B: I like these better. But I'm not sure if they're the right style for my running routine. I usually run on trails, so I need something with good traction.\n[01:02 - 01:10] Speaker A: Oh, I can measure your feet to ensure you're getting the perfect fit. That way, you'll know for sure if they're the right size.\n[01:10 - 01:12] Speaker B: That sounds good. Yes, I'll take these."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--412246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey there, cutie. You looking good today.\n[00:02 - 00:11] Speaker B: Thanks. I try my best to put in some effort, even on the busiest days, because taking care of myself helps me stay productive and positive throughout my entire week.\n[00:04 - 00:11] Speaker A: Sorry to jump in, but I just have to ask—what's your secret? You always seem to have this effortless glow about you.\n[00:12 - 00:19] Speaker B: Oh, it's really nothing special, just a mix of good skincare and a bit of confidence. But I was going to say, I try my best with what I have.\n[00:19 - 00:23] Speaker A: Well, whatever you're doing, it's working. You look amazing.\n[00:24 - 00:28] Speaker B: Aw, thank you, Khari. You always know just what to say to make someone feel good.\n[00:29 - 00:38] Speaker A: That's because I only ever say what I mean, and I always mean what I say. Especially when it comes to compliments like this because you truly deserve them.\n[00:39 - 00:44] Speaker B: Speaking of which, do you have any plans for today? You seem like you're in a really good mood.\n[00:44 - 00:52] Speaker A: I was just about to ask you the same thing! But yes, I do have some plans—mostly just running a few errands. How about you?\n[00:52 - 00:56] Speaker B: Nothing much, just enjoying the day and trying to relax.\n[00:56 - 01:01] Speaker A: Sounds perfect. Well, whatever you end up doing, I hope it's as fabulous as you are."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--181032.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what are you working on?\n[00:02 - 00:03] Speaker B: Just running some tests. You?\n[00:04 - 00:15] Speaker A: I'm analyzing some data. It's pretty interesting and I think it might reveal some unexpected patterns that could significantly impact our understanding of the market dynamics and consumer preferences.\n[00:07 - 00:10] Speaker B: Interesting? What kind of trends are you seeing?\n[00:10 - 00:26] Speaker A: Well, I'm not sure if it's anything groundbreaking, but I'm finding that the data supports the hypothesis we had about customer behavior, particularly their purchasing patterns during seasonal changes and how they respond to different marketing strategies.\n[00:25 - 00:28] Speaker B: Wait, does that mean our initial assumptions were correct?\n[00:28 - 00:33] Speaker A: Yes, it seems so. I'm just happy to be able to contribute in some way.\n[00:33 - 00:36] Speaker B: Absolutely. Every little bit helps."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--774546.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: Hey, I've been thinking about this a lot lately and I really want to be more efficient. So, I was wondering if you could suggest some ways to optimize my daily routine, particularly focusing on time management techniques and productivity hacks that have worked well for you?\n[00:07 - 00:13] Speaker B: Sorry to jump in, but when you say \"efficient,\" do you mean in terms of time, or are you looking to reduce effort too?\n[00:13 - 00:22] Speaker A: Both, actually. I want to save time and make things easier for myself. So, I was wondering if you could tell me which is better – the fork or the spoon?\n[00:23 - 00:26] Speaker B: That's a tough question. They both have their pros and cons.\n[00:26 - 00:33] Speaker A: Yeah, I know. But I really want to be more efficient in my eating habits, so I need to know which one is better.\n[00:33 - 00:52] Speaker B: Well, let's see…the fork can be used for stabbing food and then cutting it up into smaller pieces. That can be helpful if you're trying to eat something quickly. On the other hand, spoons are good for scooping food up and then eating it in one bite. So, it really depends on what you're looking for – speed or convenience, especially when you're dealing with different types of food.\n[00:52 - 00:59] Speaker A: Sorry, I just realized—what about soups or liquids? Wouldn't the spoon be more versatile in that case?\n[00:59 - 01:09] Speaker B: Yes, definitely. For soups or anything liquid, a spoon is the way to go. But if you're mainly eating solids and want to be quick, the fork might still be more efficient overall.\n[01:09 - 01:13] Speaker A: Hmm, that's a good point. I think I'm going to go with the fork then.\n[01:13 - 01:22] Speaker B: Okay, well just make sure you're using it correctly. Forks are meant to be used with your left hand, so you'll want to hold it in your left hand and use your right hand to eat.\n[01:22 - 01:26] Speaker A: Alright, I'll definitely keep that in mind. Thanks for the help!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--587173.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Thanks, man. That was really fun.\n[00:02 - 00:05] Speaker B: Yeah, no problem. I'm glad you enjoyed it.\n[00:05 - 00:17] Speaker A: I definitely did. It's been a while since I've had the chance to sing like that, and it felt so good to just let loose and express myself through music after such a long time of not performing.\n[00:10 - 00:14] Speaker B: Oh, by the way, what was the name of that last song we played? I really liked it.\n[00:15 - 00:25] Speaker A: Oh, that was \"Under the Bridge\" by the Red Hot Chili Peppers. It's one of my favorites. Anyway, I was saying it's been a while since I've had the chance to sing like that.\n[00:25 - 00:28] Speaker B: Well, you're welcome to come back and sing anytime you want.\n[00:29 - 00:33] Speaker A: Thanks, I might just take you up on that. So, how did you get into music?\n[00:34 - 00:46] Speaker B: Oh, well, I've been playing guitar for as long as I can remember. My dad is a big music fan, so he got me started when I was young. And then I just sort of started experimenting with different styles and genres, and it all kind of clicked.\n[00:47 - 00:51] Speaker A: Did your dad play any instruments too, or was he more of a listener?\n[00:52 - 00:57] Speaker B: He was more of a listener, but he had a great ear for music. Anyway, I just sort of ran with it from there.\n[00:58 - 01:01] Speaker A: That's really cool. Do you play any other instruments?\n[01:02 - 01:04] Speaker B: Yeah, I also play bass and drums.\n[01:05 - 01:08] Speaker A: Wow, that's impressive. I can barely play the guitar.\n[01:09 - 01:11] Speaker B: It's not that hard once you get the hang of it.\n[01:11 - 01:14] Speaker A: I should probably take some lessons then.\n[01:14 - 01:20] Speaker B: Definitely. Or you could just come over and jam with me sometime. I'm always down for making music."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--286623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi there, I'm interested in that grand piano over there. How much is it?\n[00:05 - 00:06] Speaker B: That one's $5,000.\n[00:07 - 00:20] Speaker A: Wow, that's a bit out of my price range. Do you have anything more affordable but still with good sound quality? I'm particularly looking for something with weighted keys and a warm tone that would be suitable for classical pieces.\n[00:11 - 00:17] Speaker B: Sorry to jump in, but before we go on, are you looking for something with specific features or just a lower price range?\n[00:17 - 00:22] Speaker A: Mainly a lower price range, but I also want decent sound quality.\n[00:22 - 00:26] Speaker B: Well, we have this smaller one over here for $2,500.\n[00:27 - 00:31] Speaker A: That's still a bit pricey. Is there any way you can give me a discount?\n[00:31 - 00:38] Speaker B: Let me see if the manager is around. I'll see if he's willing to negotiate on the price. Hang on one sec.\n[00:38 - 00:40] Speaker A: Thanks, I appreciate it.\n[00:40 - 00:45] Speaker B: The manager said he can give you a 10% discount since you're interested in buying today.\n[00:46 - 00:48] Speaker A: That sounds great! I'll take it!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--109428.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Mom. I'm home!\n[00:02 - 00:04] Speaker B: Hey, welcome home! How was your trip?\n[00:04 - 00:16] Speaker A: It was good. I'm glad to be back I missed everyone here, and it's nice to be home where I can relax in my own space and enjoy some home-cooked meals after eating out for so long.\n[00:07 - 00:12] Speaker B: Oh, before I forget, did you manage to take any pictures? I'd love to see them!\n[00:12 - 00:21] Speaker A: Yes, I did! I got some great shots, especially of the snow. Speaking of which, the weather was great. I got to see the snow for the first time.\n[00:22 - 00:25] Speaker B: That sounds like a lot of fun. What did you do while you were there?\n[00:25 - 00:36] Speaker A: I went sledding, ice skating, and I built a  snowman, which was probably the best part because I made it look just like our family dog with sticks for ears and a carrot nose.\n[00:37 - 00:42] Speaker B: Wait, ice skating? How did that go? I remember you were a bit nervous about it.\n[00:42 - 00:49] Speaker A: It was tricky at first, but I got the hang of it! And I also built a snowman, which was really fun."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--144310.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much, what's up with you?\n[00:03 - 00:14] Speaker A: Just trying to stay in control. I can't stand it when things are out of my hands, especially when it comes to important projects that require meticulous planning and attention to detail.\n[00:08 - 00:13] Speaker B: Sorry to jump in, but when you say \"out of your control,\" do you mean at work or just in general?\n[00:13 - 00:20] Speaker A: Mostly in general, but work definitely adds to it. It's like you're constantly on edge, waiting for something to go wrong.\n[00:21 - 00:27] Speaker B: Yeah, I totally get that. And when it does go wrong, it feels like everything's spiraling. How do you manage to keep it all together?\n[00:28 - 00:32] Speaker A: Sometimes I don't even know myself. But I guess it's just who I am.\n[00:33 - 00:38] Speaker B: Well, I think you're amazing. To be able to handle all that stress and still function is really impressive.\n[00:39 - 00:42] Speaker A: Thank you. It's nice to know that someone sees me that way."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1030006.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hi, boss. I'm sorry, but my train was delayed and I'm going to be at least 15 minutes late.\n[00:06 - 00:16] Speaker B: That's not good enough, Ziyad. You're already late and this is the third time this month that you've been late, and it's becoming a pattern that's seriously affecting team productivity and morale.\n[00:10 - 00:17] Speaker A: I know, and I'm really sorry. It won't happen again. I promise to make up the time by working through my lunch break.\n[00:18 - 00:24] Speaker B: That's not acceptable either. You need to be here on time or you'll have to face more serious consequences, like a formal warning.\n[00:24 - 00:30] Speaker A: Boss, please don't say that. I'm really sorry about this and it won't happen again.\n[00:30 - 00:38] Speaker B: Sorry isn't good enough, Ziyad. You're already on thin ice and if you're late one more time, you're out of here. Do you understand?\n[00:38 - 00:40] Speaker A: Yes, boss. I understand."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1108323.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: Dad, I was reading this story about a man who was attacked by robbers and left for dead on the side of the road, bleeding and unconscious until a kind stranger came to his rescue despite the dangers involved in helping someone in such a vulnerable state.\n[00:05 - 00:07] Speaker B: That's terrible! Where did this happen?\n[00:07 - 00:13] Speaker A: It was in a parable, actually. A Samaritan came along and helped him, even though they were enemies.\n[00:13 - 00:21] Speaker B: That's really amazing. I'm glad there are still people in the world who are willing to help others, even if they're not related to them or don't know them personally.\n[00:21 - 00:28] Speaker A: Yeah, me too. But it's just sad that there are people out there who would do something like that in the first place.\n[00:29 - 00:35] Speaker B: Yeah, it is. But I guess you can't really understand what would drive someone to do something like that unless you've been in their shoes.\n[00:36 - 00:37] Speaker A: I guess not.\n[00:37 - 00:44] Speaker B: Well, I'm glad you're reading stories like this. It's important to learn about different cultures and how people live in different parts of the world.\n[00:44 - 00:47] Speaker A: Yeah, I think so too."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--295395.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Anamarie, I can't believe you would do this to me.\n[00:03 - 00:07] Speaker B: What? Cheat on you? You're not exactly the perfect boyfriend yourself, Abrahan.\n[00:08 - 00:19] Speaker A: That's not the point and you know it! How could you do this to me? To our relationship that we've built together over the years with all the sacrifices and love we've shared through good times and bad?\n[00:13 - 00:20] Speaker B: Abrahan, I know you're hurt, but can we at least talk about what went wrong between us? Maybe we can figure out why this happened.\n[00:21 - 00:26] Speaker A: I don't know. It just happened. I'm sorry, Abrahan. I really am.\n[00:26 - 00:33] Speaker B: Sorry doesn't cut it, Anamarie. I trusted you and you betrayed me. I don't think we can ever get past this pain and rebuild what we had.\n[00:34 - 00:40] Speaker A: I understand you're angry, but can we at least try? I love you, Abrahan. I don't want to lose you.\n[00:41 - 00:49] Speaker B: I don't know, Anamarie. I need some time to think about  this situation and process everything that's happened between us before I can make any decisions about our future together."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--805432.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:20] Speaker A: Sarah, I just don't know what to do. I've been dating Brian for a while now and I thought things were going great, but lately he's just been acting so distant. I don't know if he's losing interest in me or if something else is bothering him that he's not telling me about, like maybe he's going through personal issues or having second thoughts about our relationship.\n[00:14 - 00:21] Speaker B: Do you think it could be something external, like work stress or family issues? Sometimes people withdraw when they're dealing with something heavy.\n[00:21 - 00:44] Speaker A: I thought about that, but when I tried asking him what was wrong, he just brushed me off and said everything was fine. But I know something is up. He used to be so sweet and attentive, and now it feels like he's barely even making an effort to spend time with me or show affection like he used to, which makes me wonder if he's falling out of love or just overwhelmed with other responsibilities.\n[00:42 - 00:48] Speaker B: Maybe he's just not ready to open up yet. Have you given him some space to see if he comes around on his own?\n[00:48 - 01:00] Speaker A: I haven't really given him much space, to be honest. I was too worried about what was going on. But you're right, maybe I should try that and see if it helps. Thanks for the advice, Sarah.\n[01:01 - 01:03] Speaker B: Of course, that's what friends are for. Good luck!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--962210.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi! Let me help you find that book you're looking for.\n[00:03 - 00:07] Speaker B: Oh, thank you so much! I'm just looking for a book on philosophy.\n[00:07 - 00:22] Speaker A: Okay, let's see... we have a few books on philosophy over here. What are you specifically interested in? Are you looking for something more historical or perhaps something that focuses on a particular philosopher or contemporary philosophical movements?\n[00:13 - 00:21] Speaker B: Actually, before I forget, do you have any recommendations for someone who's just starting out with philosophy? I want something that's not too dense.\n[00:21 - 00:40] Speaker A: For beginners, Plato's Republic is actually a great start—it's deep but accessible. We also have Aristotle's Nicomachean Ethics, which is a bit more analytical but still approachable for someone new to the subject, especially with the modern commentary editions we carry that help break down complex concepts.\n[00:42 - 00:45] Speaker B: Oh, Plato's Republic sounds perfect! I think I'll go with that.\n[00:46 - 00:49] Speaker A: Great choice! It's one of my favorites. Here you go.\n[00:49 - 00:51] Speaker B: Thank you so much!\n[00:51 - 00:55] Speaker A: No problem. Let me know if you need any help finding anything else."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--78189.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Thank goodness I was there to help! Are you okay?\n[00:03 - 00:05] Speaker B: Yes, thank you. I'm fine now.\n[00:05 - 00:09] Speaker A: That was a close call! What were you doing on the bridge?\n[00:09 - 00:22] Speaker B: I was just out for a walk when I slipped and fell. If you hadn't been there to catch me, I would have fallen into the river and been swept away by the strong current, possibly hitting rocks or getting trapped under the water for several terrifying minutes before anyone could reach me.\n[00:14 - 00:20] Speaker A: Sorry, just to be sure, are you feeling dizzy or anything? Maybe we should get you checked out.\n[00:21 - 00:27] Speaker B: No, no, I'm really okay, just a bit shaken. I was saying I would have drowned for sure. Thank you so much for saving my life.\n[00:28 - 00:33] Speaker A: It was no problem. I'm just glad I could help. Do you want me to walk you home?\n[00:33 - 00:37] Speaker B: No, thank you. I think I'll be okay now. Thanks again for everything."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--43736.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: Hey! I haven't seen you in a while. How are you doing these days with all the changes happening at work and your plans for that big trip you mentioned last time we talked?\n[00:03 - 00:09] Speaker B: I'm good! But before we catch up, I just remembered—did you finish that project you were working on last month?\n[00:09 - 00:18] Speaker A: Oh, yes, I did! It was a lot of work, but thankfully it's done. I've been really busy with school and work, but I'm glad to have a break now.\n[00:18 - 00:27] Speaker B: Yeah, I know how that is. So what have you been up to  lately besides working on that project? I heard you were considering taking some classes at the community center too.\n[00:28 - 00:35] Speaker A: Actually, before I forget, I wanted to tell you about this new coffee shop I found. We should check it out sometime!\n[00:35 - 00:40] Speaker B: That sounds awesome! But first, do you want to go for a walk? I could use the fresh air.\n[00:41 - 00:43] Speaker A: Sounds great! Let's go."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--221358.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Sasha, I need to talk to you about something important.\n[00:03 - 00:06] Speaker B: What is it, Jalicia? You seem serious.\n[00:06 - 00:25] Speaker A: I am. Sasha, I'm not sure if I'm cut out for this job. Being president is a lot harder than I thought it would be. There are so many things to think about and so many decisions to make, and sometimes I worry that I'm not making the right ones for the organization's long-term growth and the well-being of all our members.\n[00:18 - 00:25] Speaker B: Wait, Jalicia, are you saying you're considering stepping down? Because if that's the case, we need to talk about what that would mean for the team.\n[00:25 - 00:35] Speaker A: No, I'm not stepping down, but sometimes I feel like I'm in over my head. There's just a lot to manage, and it gets overwhelming.\n[00:36 - 00:58] Speaker B: I get it, Jalicia. But remember, you're doing a great job. Yes, it's tough, but you're handling it well. You're the one who wanted this job, remember? And you won by a good margin too. So don't second-guess yourself now. Just keep doing what you're doing and you'll be\n[00:58 - 01:06] Speaker A: Fine? I hope so. I just need to remind myself why I wanted this in the first place. Thanks for listening, Sasha.\n[01:06 - 01:08] Speaker B: Of course, Jalicia. That's what I'm here for."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--500115.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I'm going to make my move.\n[00:01 - 00:02] Speaker B: What's your plan?\n[00:03 - 00:11] Speaker A: I'm going to go talk to Jack about his recent behavior and how it's affecting not just him but everyone around him who cares about his wellbeing.\n[00:05 - 00:09] Speaker B: Why? What are you hoping to understand from him or achieve by talking to him?\n[00:09 - 00:20] Speaker A: Sorry, I should have been clearer. I'm hoping that I can talk some sense into him. He's obviously in over his head and if he doesn't get help soon, things are going to get worse for him.\n[00:21 - 00:28] Speaker B: What makes you think you can actually get through to him when\n[00:30 - 00:35] Speaker A: I don't know if I can, but I have to try. He's my friend and I care about him."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--635774.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi boss, how are you today?\n[00:02 - 00:06] Speaker B: Arlene, I'm doing well thanks. How are you settling in?\n[00:06 - 00:21] Speaker A: I'm loving it so far! I've only been working here a week but I feel like I'm really getting the hang of the workflow and understanding how different departments collaborate, especially when it comes to cross-functional projects and the weekly reporting process.\n[00:12 - 00:21] Speaker B: Sorry to jump in, but I wanted to ask—do you feel like you have all the resources you need? Sometimes new hires find they need something extra after their first week.\n[00:22 - 00:31] Speaker A: Actually, now that you mention it, I could use a bit more guidance on some of the software tools we use. But overall, everyone has been really helpful and welcoming.\n[00:32 - 00:39] Speaker B: That's great to hear! We're really happy to have you on board. I think you're going to be a great asset to our team. Keep up the good work!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--385362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, what's up? You seem like you've got something on your mind.\n[00:04 - 00:18] Speaker B: Yeah, I do. I was just thinking about how our lives have changed so much in the last few years. It's been hard to keep track of everything that's happened and adjust to all the new realities we face while still maintaining some sense of normalcy and personal identity.\n[00:11 - 00:24] Speaker A: Up with everything? I totally get that. It feels like everything is moving so fast and we're just trying to keep up. But it's good to have somebody to rely on, isn't it? Somebody who understands what you're going through?\n[00:24 - 00:28] Speaker B: Yeah, definitely. I'm glad we can rely on each other.\n[00:28 - 00:31] Speaker A: So what's been on your mind lately? Anything in particular?\n[00:32 - 00:40] Speaker B: Just life in general, I guess. Trying to figure out where I fit in and what I'm supposed to be aiming for, especially with all the changes happening around us.\n[00:41 - 00:50] Speaker A: Be doing with all this pressure? I know how that feels. But I think we're doing alright, don't you? We're managing to keep our heads above water, at least.\n[00:51 - 00:53] Speaker B: Yeah, I guess so. That's something, at least."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--932576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, are you okay? You're shaking.\n[00:03 - 00:06] Speaker B: Y-yeah, I'm fine. Just a little cold.\n[00:06 - 00:08] Speaker A: Here, let me help you warm up.\n[00:08 - 00:10] Speaker B: T-thanks. I appreciate it.\n[00:10 - 00:14] Speaker A: No problem. I know how it feels to be cold.\n[00:14 - 00:14] Speaker B: You do?\n[00:15 - 00:29] Speaker A: Yeah. I used to get cold a lot when I was younger. My mom would always have to bring out extra blankets and make me hot cocoa with extra marshmallows while telling me stories about her own childhood winters to distract me from the chill.\n[00:21 - 00:23] Speaker B: I also hope it can be like this now.\n[00:24 - 00:27] Speaker A: She would hug me close and rub my back until I felt warm again.\n[00:28 - 00:29] Speaker B: That sounds really nice.\n[00:30 - 00:33] Speaker A: Yes, it was. She was always there for me when I needed her."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--565509.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hi, I'm Jaron and I'm thinking about starting my own business. Do you have any advice on how to get started?\n[00:07 - 00:20] Speaker B: Well, one of the first things you'll need is a business card. It's a great way to promote your business and get your name out to potential customers and partners by creating a professional first impression that reflects your brand identity and makes people remember you.\n[00:12 - 00:19] Speaker A: Sorry to jump in, but I'm not sure what kind of design I should go for or what information to put on it.\n[00:20 - 00:25] Speaker B: Well, it depends on what kind of business you're starting. Are you offering a service or selling a product?\n[00:25 - 00:27] Speaker A: I'm going to be selling handmade jewelry.\n[00:28 - 00:45] Speaker B: In that case, you'll want to include a photo of some of your work on your business card, along with your contact information and maybe a brief description of what you do. You can also include a discount or special offer for people who  make a purchase within a certain timeframe to encourage immediate action and help build your initial customer base.\n[00:45 - 00:54] Speaker A: Oh, I love the idea of including a discount! But what about the quality of the business card itself? Should I invest in something more premium?\n[00:54 - 01:11] Speaker B: Yes, investing in a high-quality card can make a good impression. Also, I wanted to mention earlier that getting your name out there involves more than just business cards; you might also want to consider  attending local craft fairs or markets to showcase your jewelry while networking with other artisans and potential customers in person.\n[01:11 - 01:16] Speaker A: Social media marketing, right? I've been thinking about that too."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--301485.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Mom.\n[00:01 - 00:04] Speaker B: Hey, Arisbeth. How's your room looking?\n[00:04 - 00:19] Speaker A: It looks much better now. I picked up all my clothes and put them in the hamper and I straightened up all my books on the shelf and arranged them by genre and author so I can find everything more easily when I need it for school or just casual reading.\n[00:12 - 00:15] Speaker B: Wait, did you remember to dust the shelves before putting the books back?\n[00:16 - 00:24] Speaker A: Oh, I actually forgot about that. I'll do it after dinner. But yeah, I also organized my desk and it feels so much better now.\n[00:25 - 00:31] Speaker B: That's great! I'm glad you took the time to tidy up your space. It really makes a difference when things are in their place.\n[00:32 - 00:38] Speaker A: Yeah, I feel so much better now that my room is clean. Thanks for helping me get it together, Mom.\n[00:38 - 00:42] Speaker B: Of course, honey. I just want you to be happy and comfortable in your own space."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1074077.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I think we need to break up.\n[00:02 - 00:09] Speaker B: Why? What's been going on between us that's made you feel this way? Have I done something specific to upset you or is it just a general feeling of distance?\n[00:03 - 00:10] Speaker A: What's wrong? I just feel like our relationship isn't what it used to be. I think it's time we both moved on.\n[00:10 - 00:18] Speaker B: I don't want to break up. Can't we try to fix whatever is wrong between us? Maybe we just need to communicate better or spend more time together.\n[00:18 - 00:23] Speaker A: I don't think there's anything left to fix, Eleanora. This is for the best.\n[00:23 - 00:25] Speaker B: I don't know if I can do this, Kashawn.\n[00:26 - 00:31] Speaker A: You don't have to do anything you don't want to. But I really believe this is what's best for both of us.\n[00:32 - 00:33] Speaker B: I'm not sure...\n[00:33 - 00:37] Speaker A: It's okay, Eleanora. We can still be friends."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--375003.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, Sarah. I miss you so much. It's been really hard being here by myself.\n[00:05 - 00:08] Speaker B: I miss you too, Ayansh. How are you holding up?\n[00:08 - 00:26] Speaker A: Not great, to be honest. I feel like I don't belong here anymore. Everything is so different and I don't have any friends here that I can really confide in or spend time with like I used to back home, and it's making me question whether I made the right decision to move here in the first place.\n[00:17 - 00:24] Speaker B: Ayansh, have you tried joining any clubs or activities? Sometimes that can be a good way to meet people who share your interests.\n[00:24 - 00:40] Speaker A: Yeah, I've tried, but it's just not the same as having a friend who really knows me and understands me. Plus, they all seem to have their own cliques and groups that they're already a part of. It's like they don't even see me as an outsider, they just ignore me completely.\n[00:40 - 00:48] Speaker B: Well, maybe it's not them, maybe it's you? Have you considered that maybe you're just not giving them a chance because you're still homesick?\n[00:48 - 01:06] Speaker A: No, I don't think that's it. I mean, I am homesick, but that doesn't mean I'm not trying to make friends here. It's just really hard when everyone seems to already have their own lives and established relationships and I'm just kind of left on the outside looking in, feeling like I don't really belong anywhere.\n[01:07 - 01:17] Speaker B: I get why that feels so isolating. But maybe instead of focusing on the groups, you could try connecting with just one person at a time? Sometimes a smaller connection can lead to bigger friendships.\n[01:17 - 01:21] Speaker A: Yeah, maybe you're right. It's just really hard right now.\n[01:22 - 01:25] Speaker B: I know it is, but like I said, don't give up. Okay?\n[01:25 - 01:26] Speaker A: Okay."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--244490.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:20] Speaker A: I don't even know what happened. I was just walking home from the store and I saw these two people arguing. I tried to intervene, but things got out of hand really quickly. The next thing I knew, one of them was on the ground, bleeding profusely from what appeared to be a head wound while the other person was standing over them with a look of shock on their face.\n[00:13 - 00:15] Speaker B: What exactly did you do when you tried to intervene?\n[00:15 - 00:25] Speaker A: I don't know, I just yelled at them to stop fighting and then one of them came at me and we started scuffling. Then the other one got involved and it all just went downhill from there.\n[00:26 - 00:27] Speaker B: Did either of the two people have a weapon?\n[00:28 - 00:33] Speaker A: No, not that I saw. But it all happened so fast, I'm not really sure.\n[00:33 - 00:35] Speaker B: Do you remember what they were arguing about?\n[00:35 - 00:39] Speaker A: No, not really. It sounded like they knew each other though.\n[00:39 - 00:42] Speaker B: What did the police say when they arrived on scene?\n[00:42 - 01:00] Speaker A: They asked me what happened and I told them everything that I remembered. They didn't say much after that, they just took me down to the station for questioning and to get my  detailed statement about the sequence of events, including any potential witnesses who might have seen what actually transpired between the two individuals.\n[01:01 - 01:04] Speaker B: Wait, did they read you your rights before they took you in?\n[01:04 - 01:13] Speaker A: Yes, they did. But I haven't mentioned the charges against me yet. They told me it was murder, I think. But I didn't kill anyone, I swear.\n[01:14 - 01:25] Speaker B: We'll need to look into that. In the meantime, you need to be prepared for the possibility that you will be going to trial. If that happens, we will need to mount a defense and try to prove your innocence. Are you up for that?\n[01:25 - 01:28] Speaker A: Yes, of course. I just want to clear my name."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--605749.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I don't like how that person ruined the event.\n[00:02 - 00:06] Speaker B: Yeah, that was really messed up. I'm sorry that happened.\n[00:06 - 00:11] Speaker A: Thanks. I was really looking forward to it and it just got ruined because of one person.\n[00:12 - 00:15] Speaker B: That must be really frustrating. Do you want to talk about what happened?\n[00:15 - 00:33] Speaker A: Yeah. So, I was at the event and everything was going great. I was having a lot of fun. And then all of a sudden, this one person just ruined the whole atmosphere by being obnoxious and disruptive, shouting over the speakers and deliberately causing chaos during the most important parts of the program.\n[00:25 - 00:29] Speaker B: How exactly did they ruin it? Did they say something or do something specific?\n[00:29 - 00:41] Speaker A: They started making rude comments and disrupting the activities. It just killed the vibe for everyone. It just sucks because I was really looking forward to it and then it got ruined because of one person.\n[00:41 - 00:44] Speaker B: That sounds really frustrating. I'm sorry that happened.\n[00:45 - 00:50] Speaker A: Thanks. I just wish there was a way to prevent people like that from ruining things for everyone else."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--845126.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, honey. How are you doing today?\n[00:03 - 00:05] Speaker B: I'm doing alright. How are you feeling?\n[00:05 - 00:18] Speaker A: I'm feeling a little better today. I'm still weak, but I'm getting stronger slowly, and I hope to regain my full strength soon with proper rest and maybe some light exercises recommended by my doctor.\n[00:10 - 00:13] Speaker B: Do you think you might be ready to try taking a short walk outside?\n[00:13 - 00:19] Speaker A: Maybe tomorrow, if I keep improving. But I was going to say I'm getting stronger every day.\n[00:20 - 00:23] Speaker B: That's great news! I'm so glad to hear that you're improving.\n[00:23 - 00:29] Speaker A: Yeah, me too. It's been a long road, but I feel like I'm finally turning a corner.\n[00:29 - 00:42] Speaker B: We've been through a lot together these past few months, and I was wondering—do you feel like you need any additional support, like from a physical therapist or  maybe even some home care assistance to help with daily tasks while you continue your recovery journey?\n[00:42 - 00:50] Speaker A: No, I think I'm okay for now. But thank you for asking. It means a lot to me that you're always thinking about what I might need."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1020087.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, how's your business doing?\n[00:02 - 00:12] Speaker B: It's going well, thanks for asking. We've been growing steadily and we're starting to expand our operations into new markets across Europe and Asia, which has been an exciting but challenging endeavor for our team.\n[00:06 - 00:14] Speaker A: Sorry to interrupt, but when you say \"growing steadily,\" do you mean in terms of revenue, customer base, or something else?\n[00:14 - 00:22] Speaker B: Mainly in terms of our customer base, but revenue has also seen a consistent rise. How about you? How's your business doing?\n[00:22 - 00:35] Speaker A: It's going good too. We just launched a new product line and it's  gaining a lot of traction in the market, especially among environmentally conscious consumers who appreciate sustainable and high-quality home products.\n[00:36 - 00:40] Speaker B: Oh, what kind of product? I'm curious to know what you've been working on.\n[00:40 - 00:44] Speaker A: It's a line of eco-friendly home goods, and it's doing really well.\n[00:45 - 00:47] Speaker B: Congratulations! That's amazing news."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--915430.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: I feel so lost, Sarah. I don't know where to go or what to do next with my life considering all the changes that have happened recently and how different everything feels compared to just six months ago.\n[00:03 - 00:08] Speaker B: What do you mean? Are you talking about your job, your relationships, or something else?\n[00:09 - 00:18] Speaker A: I just feel like I'm losing touch with everything that was once so familiar to me. My life is crumbling around me and I don't know how to pick up the pieces.\n[00:18 - 00:32] Speaker B: It sounds like you're feeling really overwhelmed right now. Maybe it would help if you took some time to figure out what's most important to you and what you\n[00:34 - 00:41] Speaker A: You're right, I do need to figure that out. But what if I can't? What if I just can't find the answers?\n[00:41 - 00:51] Speaker B: It's okay to not have all the answers right away. Sometimes it takes time, and that's perfectly normal. Just remember that we're here for you and we love you no matter what decisions you make about your life."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--32633.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Colston, I've been trying to tell you this for hours now and you're just not listening to me!\n[00:06 - 00:11] Speaker B: What is it that you want to say, Yazmine? I'm sorry, I was just preoccupied with other things.\n[00:12 - 00:19] Speaker A: It doesn't matter what else is going on in your life, when I'm talking to you, I expect you to give me your full attention.\n[00:19 - 00:22] Speaker B: Alright, I'm sorry. What did you want to say?\n[00:23 - 00:42] Speaker A: Well, ever since we moved into this new house, I've been feeling really claustrophobic. It's like the walls are closing in on me and I can't seem to find any space where I feel comfortable, even though the house is technically larger than our previous one, which makes this feeling even more confusing and frustrating for me.\n[00:31 - 00:34] Speaker B: Have you talked to anyone about this? Maybe a therapist?\n[00:34 - 00:48] Speaker A: No, I haven't gone that route yet. But just talking to you about it is helping a little bit. Anyway, what I was thinking was maybe we could move back into our old house or find a new one altogether. What do you think?\n[00:48 - 01:03] Speaker B: I don't know, Yazmine. We just moved into this house a few months ago and we just put all new furniture in and  spent a lot of time and money on renovations that were specifically designed to make this place feel more like our dream home, so it's difficult for me to consider moving again so soon.\n[01:04 - 01:12] Speaker A: Colston, this is really important to me. I'm not asking you to make a decision right now, but can we at least look into it?\n[01:12 - 01:15] Speaker B: Yeah, sure. We can look into it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--76986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:22] Speaker A: Hey, Mom. I was riding my bike around the block and I heard a loud pop. I got off my bike to find that my tire had a big hole in it and was completely flat. Zaylie felt upset because now he would have to walk his bike all the way back home and miss out on the ride he was looking forward to, which was especially disappointing since he had planned this outing with his friends for days.\n[00:13 - 00:20] Speaker B: Wait, did you say there was a loud pop? That sounds like it could have been something sharp on the road. Did you notice anything unusual before that?\n[00:20 - 00:25] Speaker A: I don't know. I was just riding along and then suddenly my tire was flat.\n[00:25 - 00:29] Speaker B: Well, let's take a look at it and see if we can figure out what happened. Did you hit something?\n[00:30 - 00:34] Speaker A: I don't think so. I didn't see anything when I got off the bike to check the tire.\n[00:35 - 00:48] Speaker B: Hmmm, well sometimes things can happen without us realizing it. Maybe you ran over a nail or something sharp without knowing it. Anyway, we'll have to get you a new tire for your bike. Fortunately, we have an extra one in the garage that should fit your bike.\n[00:49 - 00:50] Speaker A: Okay, thanks, Mom.\n[00:51 - 00:55] Speaker B: You're welcome. Now let's get that tire changed so you can ride your bike again."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--535550.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm glad you're home, Daddy. I missed you.\n[00:03 - 00:05] Speaker B: I missed you too, sweetheart. How was your week?\n[00:06 - 00:09] Speaker A: It was good. I got a lot done and I had fun too.\n[00:10 - 00:12] Speaker B: That's great! What did you do for fun?\n[00:13 - 00:38] Speaker A: Well, on Tuesday night I went out to dinner with some friends and then we went to a movie. On Wednesday night I went to the park with my dog and then Thursday night I went to a concert with some other friends. Friday night I just stayed home and relaxed. And then yesterday I went shopping with my mom. So it was a really fun week filled with exciting activities and meaningful moments that helped me recharge and connect with the important people in my life.\n[00:31 - 00:35] Speaker B: Sorry to interrupt, but which concert did you go to on Thursday night? Was it someone you like?\n[00:36 - 00:44] Speaker A: Oh, it was a local band that my friends and I enjoy. They were really good! Anyway, as I was saying, it was a really fun week!\n[00:45 - 00:49] Speaker B: That sounds like a great week! Did you get everything done that you needed to get done?\n[00:49 - 01:09] Speaker A: Yes, I did. I finished all of my homework and cleaned my room so it's all ready for next week. And then today I helped Mom with dinner and did the dishes too. So now I'm all caught up and  completely prepared for whatever challenges or opportunities might come my way in the coming days while still having time to relax and enjoy myself.\n[01:10 - 01:13] Speaker B: That's wonderful! By the way, what did you and Mom cook for dinner?\n[01:13 - 01:20] Speaker A: We made spaghetti and meatballs. It was delicious! So now I'm all caught up and ready for next week!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--152375.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Wow, this city is incredible! The history, the architecture... I've never seen anything like it!\n[00:06 - 00:19] Speaker B: Yes, it's definitely a unique place. It's been through a lot over the years, but it's always managed to rebuild and preserve its essence despite the challenges, maintaining its cultural heritage while adapting to modern needs and influences.\n[00:12 - 00:18] Speaker A: Speaking of bouncing back, do you know what the most significant event was that shaped the city's current form?\n[00:18 - 00:26] Speaker B: Oh, there were several, but one of the most impactful was a major earthquake in the 18th century. The city was almost entirely rebuilt after that.\n[00:27 - 00:31] Speaker A: That must have been a monumental effort. How long did it take to recover?\n[00:31 - 00:46] Speaker B: It took several decades, actually. But the resilience of the people was incredible. They rebuilt the city with even more impressive architecture. And as for the people who lived here, millions left their mark, as I mentioned before, and each generation added something unique to the city's character.\n[00:47 - 00:52] Speaker A: Right, and I'm curious, did that rebuilding effort influence the city's culture as well?\n[00:53 - 01:00] Speaker B: Absolutely. The new architecture brought in different styles, and the city became a melting pot of cultures, which is still evident today."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--109817.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, what do you think about the latest celebrity scandal?\n[00:03 - 00:15] Speaker B: I don't really know. I just feel bad for them, you [interrupt]— I mean, they must be going through a lot behind the scenes that we don't even know about, dealing with intense media scrutiny while trying to maintain some semblance of normalcy in their personal lives.\n[00:06 - 00:14] Speaker A: But don't you think it's kind of inevitable? I mean, they live such public lives, it's like their mistakes are magnified for everyone to see.\n[00:15 - 00:19] Speaker B: Yeah, I guess. It's just so fascinating to see their lives fall apart like that.\n[00:19 - 00:27] Speaker A: I know! It's like, no matter how much money they have, they can't escape the inevitable train wreck that is fame.\n[00:27 - 00:37] Speaker B: Exactly! It makes you wonder if it's all worth\n[00:39 - 00:49] Speaker A: Worth it? I wonder too. I mean, they have to deal with the constant pressure of living up to everyone's expectations and avoiding any sort of mishap or controversy.\n[00:50 - 00:54] Speaker B: Yeah, it seems like such a high price to pay for something that doesn't even last forever.\n[00:55 - 01:01] Speaker A: Absolutely! Sooner or later, everyone's 15 minutes are up and then they're quickly forgotten about."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--101351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Wow, I can't believe I got the job!\n[00:02 - 00:12] Speaker B: Congratulations, Aleena. You're a hard worker and you truly deserve this opportunity after all the effort you've put into developing your skills and preparing for this position.\n[00:06 - 00:11] Speaker A: Actually, I wanted to ask—do you think there will be opportunities for growth in this role?\n[00:11 - 00:16] Speaker B: Absolutely, there will be plenty of opportunities for growth. We're glad to have you on board.\n[00:16 - 00:30] Speaker A: I'm just glad I can finally stop worrying about money. This job will allow me to pay my rent and start saving for the future while also being able to invest in professional development courses that will help me advance in my career.\n[00:29 - 00:35] Speaker B: Sorry to cut in, but I wanted to make sure—do you need any initial support with your relocation or anything else?\n[00:35 - 00:40] Speaker A: That's really considerate, but I've got that covered. Thank you, boss. I won't let you down."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--930750.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi Jaeden. How are you doing today?\n[00:03 - 00:13] Speaker B: I'm doing fine, thank you. Just a little overwhelmed with everything that's been piling up lately, especially with school and extracurricular activities that I've committed to without realizing how much time they would take.\n[00:06 - 00:09] Speaker A: Overwhelmed? Is it schoolwork or something else?\n[00:09 - 00:15] Speaker B: Well, I've got a lot of homework and a project due soon. I'm just not sure how I'm going to get everything done.\n[00:16 - 00:17] Speaker A: Do you want me to help you with anything?\n[00:18 - 00:23] Speaker B: That would be great! Thank you so much! Let me get my stuff and we can start working on it together.\n[00:23 - 00:29] Speaker A: Jaeden, where do you want to begin? I was thinking we could tackle the most difficult task first.\n[00:30 - 00:34] Speaker B: Actually, before we dive in, I'm really struggling with my math homework. Could we start there?\n[00:35 - 00:36] Speaker A: Sure, let's take a look at it then."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--19531.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Raylene! I'm glad I found you.\n[00:02 - 00:11] Speaker B: Hey, Kellee! I'm glad you found me too. What are you planning to do today because I've been feeling a bit bored and could really use some company for an adventure or just hanging out?\n[00:05 - 00:09] Speaker A: Sorry, quick question—do you have any plans for the rest of the day?\n[00:10 - 00:13] Speaker B: Not much. Just hanging out and looking for something to do. You?\n[00:14 - 00:25] Speaker A: Same here. But I'm always up for doing something if you have any  suggestions or ideas that could get us out of the house and maybe explore that new part of town we've been meaning to check out.\n[00:25 - 00:28] Speaker B: Actually, I was thinking we could go get some ice cream or something.\n[00:29 - 00:31] Speaker A: That sounds great! Let's go!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--767328.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:18] Speaker A: Sarah, I was just thinking about how good I am with tools. Do you remember when we were working on that project together and I was able to fix that cabinet door in no time at all? It felt great to solve that problem so quickly and efficiently, especially since we were under such tight deadlines for that renovation project.\n[00:10 - 00:17] Speaker B: Oh, I do remember! But speaking of that, have you thought about taking on more complex projects? Maybe something beyond just fixing things?\n[00:17 - 00:37] Speaker A: Definitely! It's something that I really enjoy doing—working with my hands and being in control of the projects I'm working on. Plus, it's always satisfying to  see how everything comes together in the end, especially when it's something I've built from scratch and can proudly say that I created with my own two hands and skills.\n[00:38 - 00:45] Speaker B: And it must be so rewarding when you see the final product! Do you think you'll continue pursuing woodworking or other DIY projects in the future?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1055385.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: I swear to you, Jonelle, that I will always be loyal to you. I promise that I will never betray you and that I will always be there to support you through every hardship, celebrate your victories, and stand by your side even when the world seems against you, because that's what true love means to me.\n[00:07 - 00:09] Speaker B: What makes you say that?\n[00:09 - 00:15] Speaker A: Because I love you. You're the most important person in my life, and I would never do anything to hurt you.\n[00:16 - 00:21] Speaker B: But what if something happened? What if you had to choose between me and your career or family?\n[00:21 - 00:31] Speaker A: Jonelle, there would be no choice. I would always choose you. No matter what the circumstances were, I would never betray your trust or hurt you in any way.\n[00:31 - 00:37] Speaker B: I believe you. I know that you would never intentionally hurt me. But sometimes, even the best of intentions can go wrong.\n[00:38 - 00:47] Speaker A: I understand that. And if anything ever did happen, I would never blame you for it. I would always try to find a way to forgive you and make things right again.\n[00:47 - 00:49] Speaker B: Thank you, Kevonte. That means a lot to me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1168213.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: \"Hey, there you are. I thought you were going to sleep forever.\"\n[00:04 - 00:05] Speaker B: \"What time is it?\"\n[00:05 - 00:11] Speaker A: \"It's early still, only a few hours after sunrise. You must have been really tired.\"\n[00:11 - 00:21] Speaker B: \"I guess I was. I don't remember the last time I slept that soundly, especially with everything that's been going on lately - the stress at work, family issues, and all those sleepless nights worrying about everything.\"\n[00:15 - 00:24] Speaker A: \"Actually, speaking of sleep, do you think it might be a good idea to take it easy today? You know, just to make sure you're fully rested?\"\n[00:24 - 00:27] Speaker B: \"Yeah, that might be a good idea. I have been through a lot lately.\"\n[00:28 - 00:33] Speaker A: \"Exactly. You've been pushing yourself hard. But now that you're feeling better, we can take it slow.\"\n[00:33 - 00:36] Speaker B: \"Thanks for understanding. So, what do you want to do today?\"\n[00:36 - 00:43] Speaker A: \"I was thinking maybe we could go for a walk, get some fresh air. Or if you prefer, we could just relax here.\"\n[00:43 - 00:46] Speaker B: \"A walk sounds nice. Let's do that.\""}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1087984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: Hey, Mahnoor. I'm really sorry about getting you hooked on crack. I can see how much you're struggling and I know it's all my fault for introducing you to it in the first place, especially when I knew how dangerous and addictive this substance could be from personal experience.\n[00:07 - 00:13] Speaker B: It's not your fault, Chayse. I made the choice to try it and I'm the one who's responsible for my own addiction.\n[00:13 - 00:26] Speaker A: But if I hadn't gotten you started, you wouldn't be in this  situation where you're battling addiction every single day, and I can't stop thinking about how different things might have been if I'd just said no when you asked.\n[00:26 - 00:32] Speaker B: You can't blame yourself for my addiction, Chayse. I take responsibility for my own choices and actions.\n[00:33 - 00:36] Speaker A: I know, but I can't help but feel guilty.\n[00:36 - 00:44] Speaker B: Guilt won't help either of us, Chayse. What's done is done. We need to focus on the present and what we can do to make things better.\n[00:44 - 00:46] Speaker A: You're right, Mahnoor. I'm sorry.\n[00:47 - 00:50] Speaker B: It's okay, Chayse. Let's just try to move forward from here."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--403051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm so sorry I'm late, I had a really hard time finding parking.\n[00:05 - 00:07] Speaker B: That's okay, we'll just get started right away.\n[00:07 - 00:11] Speaker A: I feel really anxious, I don't like going to the dentist.\n[00:11 - 00:23] Speaker B: It's going to be okay, I promise. We'll just take a look at your teeth and then we can get you out of here as soon as possible while still ensuring we do a thorough examination to address any potential issues you might be experiencing.\n[00:17 - 00:21] Speaker A: I just can't help but feel nervous. Is there any way to make this quicker?\n[00:21 - 00:25] Speaker B: We'll do our best to be quick. So how have your teeth been feeling lately?\n[00:25 - 00:36] Speaker A: Fine, I guess. Just a little sensitive to cold  drinks and sometimes even when I breathe in cold air, especially in the mornings when the temperature drops significantly outside.\n[00:37 - 00:42] Speaker B: Sensitive to cold? That could indicate a few things. Have you been using any new dental products recently?\n[00:42 - 00:48] Speaker A: No, I haven't changed anything. But I was going to say that it's been happening more frequently."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--782660.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: The piano always has a way of making me feel at peace. It's like the music washes over me and everything else just fades into the background, allowing me to focus purely on the melodies and harmonies that seem to resonate with my very soul, creating a perfect moment of tranquility.\n[00:07 - 00:14] Speaker B: Sorry to interrupt, but I was curious, do you think this feeling is unique to playing the piano, or could other instruments have the same effect on you?\n[00:15 - 00:37] Speaker A: That's a good question. I think other instruments might have a similar effect, but for me, the piano has always been special. When I'm playing, I don't have to worry about anything else going on in my life. It's just me and the music. And for that brief moment, everything else disappears and I'm completely immersed in the experience, almost as if I'm in another world.\n[00:38 - 00:42] Speaker B: That sounds amazing. I wish I could find something that would make me feel that way.\n[00:42 - 00:47] Speaker A: You don't have to find something, Sarah. You can just listen to the music and let it take you away.\n[00:48 - 00:50] Speaker B: Really? You think it would work for me?\n[00:50 - 00:55] Speaker A: Of course it would! Just close your eyes and let yourself go. I promise you'll love it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--489920.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, I've been wanting to talk to you about something.\n[00:03 - 00:03] Speaker B: What's up?\n[00:04 - 00:07] Speaker A: Well, you know how we've been friends for a while now?\n[00:07 - 00:09] Speaker B: Yeah, of course. What about it?\n[00:09 - 00:23] Speaker A: I just feel like lately we haven't been as close as we used to be and I was wondering if there was something that's been bothering you or if something has changed between us, because I really value our friendship and want to make sure we're on the same page.\n[00:15 - 00:19] Speaker B: Wait, do you mean like something specific happened that made you feel this way?\n[00:19 - 00:27] Speaker A: No, there's nothing specific. I think we're still just as close as ever. Why do you feel like we're not as close?\n[00:27 - 00:31] Speaker B: I don't know. It just feels like we don't talk as much or do things together anymore.\n[00:32 - 00:47] Speaker A: Well, we've both been busy lately. I know I've been really busy with work and you've been busy with school and your extracurricular\n[00:48 - 00:54] Speaker B: activities, yeah. I guess that's true. Maybe we just haven't had as much time to hang out.\n[00:54 - 01:01] Speaker A: Yeah, that could be it. I'm sorry for bringing it up. I was just wondering if there was something wrong.\n[01:01 - 01:08] Speaker B: No, it's okay. I'm glad you brought it up. We can definitely try to make more of an effort to hang out and talk more often.\n[01:08 - 01:12] Speaker A: Yeah, that sounds good. Thanks for understanding."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--990528.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:19] Speaker A: I'm sorry for putting a frog in your desk, Ms. Smith. It was really immature of me and I know better than to disrupt class like that. I'll accept whatever punishment you deem fair, and I promise it won't happen again because I've learned my lesson about respecting classroom rules and my classmates' learning environment.\n[00:10 - 00:16] Speaker B: Jayde, before we talk about punishment, can you tell me why you thought it was okay to do something like that?\n[00:17 - 00:23] Speaker A: Honestly, I thought it would be funny, but I realize now it was just disruptive. I'm really sorry.\n[00:23 - 00:35] Speaker B: Well, Jayde, putting a frog in my desk was definitely not appropriate behavior. I think a week of detention is\n[00:38 - 00:46] Speaker A: Ms. Smith, I completely understand, but can I ask if there's any way I can make it up by doing some extra work instead?\n[00:46 - 00:51] Speaker B: I appreciate the offer, but detention will be served during lunch starting next Monday.\n[00:51 - 00:53] Speaker A: Ok, thank you Ms. Smith."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1092370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hi.\n[00:00 - 00:01] Speaker B: Hey there.\n[00:01 - 00:03] Speaker A: So, what do you do?\n[00:03 - 00:05] Speaker B: I'm a software engineer. What about you?\n[00:06 - 00:07] Speaker A: I work in marketing.\n[00:08 - 00:11] Speaker B: That sounds interesting. What kind of stuff do you do?\n[00:11 - 00:28] Speaker A: A little bit of everything, really. I help come up with campaigns and strategies, and then we execute them and track the performance to see what works best and where we can improve, using advanced analytics tools and customer feedback to refine our approach continuously.\n[00:19 - 00:23] Speaker B: Sorry to interrupt, but how do you measure the success of your campaigns?\n[00:24 - 00:38] Speaker A: We use various metrics like engagement rates, conversion rates, and ROI. But I haven't finished explaining how we execute and track the results, which is always changing, and we often adjust our strategies based on real-time data.\n[00:38 - 00:43] Speaker B: That sounds really dynamic. Do you find it challenging to keep up with the constant changes?\n[00:43 - 00:50] Speaker A: Yeah, I love it actually. I'm really lucky to have found a career that I'm passionate about."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--82238.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hi, I'm Emari. I noticed that you made some changes to this article and I wanted to talk to you about it.\n[00:07 - 00:22] Speaker B: Hi, I'm Person. Yeah, I noticed a few errors in the current version and thought it could use some improvements, especially in terms of clarity and coherence, as well as updating some outdated references and adding more recent examples to support our main arguments.\n[00:14 - 00:26] Speaker A: Absolutely! I couldn't agree more. There are definitely some errors that need to be corrected. And the overall flow could benefit from a more logical structure and smoother transitions between sections.\n[00:26 - 00:33] Speaker B: Sorry to interrupt, but I think we should also consider the target audience while making these changes. Do you think the current tone fits them well?\n[00:34 - 00:46] Speaker A: That's a good point. We might need to adjust the tone to better suit our audience. But I was also thinking about how we can improve the overall flow of the article. Let's work on improving it together.\n[00:46 - 00:51] Speaker B: Sounds great! I'm sure we can make this article much better with some effort. Thanks for your help.\n[00:51 - 00:54] Speaker A: No problem. I'm happy to help out."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--206574.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: Hey, Miraya. I'm sorry about what happened with the car last night. I was really angry and I didn't mean to take it out on your car like that, especially since it's your most valuable possession and you've always taken such good care of it. I know it was wrong, and I regret it deeply.\n[00:08 - 00:15] Speaker B: I understand, Stephon. But what exactly made you so angry? Was it something specific about what happened earlier in the week?\n[00:15 - 00:24] Speaker A: Yeah, it did. I was really mad at you for a while after that. But I know it wasn't your fault and I shouldn't have taken it out on your car like that.\n[00:25 - 00:42] Speaker B: Well, since you're being honest and apologetic about it, I don't think there's anything else you need to do other than maybe just be more mindful in the future about how you express your\n[00:42 - 00:50] Speaker A: Absolutely, I'll work on that. And I really appreciate you being so understanding about this. Thanks for giving me the chance to talk it out."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--737676.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: I'm sorry for not listening to you and for causing you worry. I promise to be more obedient in the future. Can you forgive me for my mistakes and trust that I'll do better moving forward by being more open with my feelings and communicating more effectively about what's going on in my life?\n[00:07 - 00:15] Speaker B: Of course, Maverick, but it's not just about obedience. We want to make sure you're okay and that you feel supported. We love you very much.\n[00:15 - 00:17] Speaker A: Thank you, Mom and Dad. I love you too.\n[00:18 - 00:33] Speaker B: We know that you're going through a lot right now, and we just want to help you in any way we can. If there's something specific on your mind, we're here to listen  and offer any advice or comfort that might help you feel better about whatever challenges you're facing, whether it's school, friends, or anything else that's bothering you.\n[00:34 - 00:39] Speaker A: I appreciate that, but sometimes I just need some space to figure things out on my own.\n[00:40 - 00:48] Speaker B: We understand that, and we'll try to give you the space you need. But if there's anything troubling you, please don't hesitate to come to us for help or advice. Okay?\n[00:48 - 00:50] Speaker A: Okay, thanks Mom and Dad."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--660884.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: I don't trust the police. I think they're corrupt and that they abuse their power to intimidate and control people, rather than protect them, especially in marginalized communities where systemic issues seem to go unchecked for generations.\n[00:04 - 00:12] Speaker B: Sorry to jump in, but can you share what specifically led you to feel this way? Was it a personal experience or something else?\n[00:12 - 00:21] Speaker A: I've seen too many stories in the news about police officers using excessive force, or planting evidence to frame someone. It's just not right.\n[00:21 - 00:27] Speaker B: Well, I can assure you that not all police officers are like that. We're here to help people and keep them safe.\n[00:27 - 00:36] Speaker A: That's what they all say, but I don't believe it. There's no way I'm going to just blindly trust the police when there's so much evidence against them.\n[00:36 - 00:38] Speaker B: What would it take to change your mind?\n[00:39 - 00:48] Speaker A: I don't know...maybe if I saw some real proof that the police could be trusted, then maybe my opinion would change. But until then, I'm not going to put my faith in them."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1080342.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm sorry I'm late. I know it caused some problems for you.\n[00:04 - 00:16] Speaker B: You're damn right it did! I had to wait half an hour for you to show up. This is becoming a pattern, and it's really frustrating because it shows a lack of consideration for my time and makes me question whether I can rely on you for important matters.\n[00:08 - 00:17] Speaker A: I understand how you feel. It's not like me to be late, but it happens from time to time. I apologize for any inconvenience it may have caused you.\n[00:18 - 00:25] Speaker B: This isn't the first time this has happened, Willian. You're always late for your appointments. It's unprofessional and disrespectful.\n[00:25 - 00:39] Speaker A: Again, I'm sorry. I'll try to do better in  managing my time and ensuring that I arrive on time for our future meetings by setting multiple reminders and leaving earlier to account for any unexpected delays.\n[00:39 - 00:44] Speaker B: Try? That's not good enough. I don't want to work with someone who can't keep their word and be on time."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--24058.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: I'm really worried about this, lawyer. If the FBI finds out that we committed fraud, we could be in a lot of legal trouble, and it might even lead to criminal charges against us with potential prison time and substantial financial penalties that could ruin our careers.\n[00:07 - 00:16] Speaker B: Sorry to cut in, but when you say \"we,\" are you referring to specific actions you both took, or are you concerned about something else that might come up in their investigation?\n[00:16 - 00:32] Speaker A: It's specifically about some documents we both signed. I didn't mention it earlier, but those documents could be the key to  proving that we were intentionally misleading certain parties about the financial status of the company and creating false records to cover up significant losses.\n[00:33 - 00:41] Speaker B: Got it. I'll need to review those documents in detail. In the meantime, try to stay calm. I'll do my best to help you out of this situation."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--202914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: Wow, I can't believe I found a four-leaf clover! This is so rare and special that I feel like I should make a wish or something, maybe even frame it as a keepsake to preserve this incredible moment of good fortune.\n[00:04 - 00:07] Speaker B: Why do you say that? Is there a special reason?\n[00:08 - 00:19] Speaker A: Well, they're supposed to be really rare, so finding one is like winning the lottery or something. Plus, they're supposed to bring good luck. So I'm feeling pretty lucky right now.\n[00:19 - 00:29] Speaker B: That's interesting. I've never thought of it that  way before, but I can see why it would be exciting to discover something so uncommon that's been considered a symbol of fortune across different cultures for centuries.\n[00:30 - 00:32] Speaker A: Really? What do you think of it?\n[00:32 - 00:38] Speaker B: I guess I never really thought about it at all. I just figured that since I'm a clover, people must think that I'm lucky.\n[00:38 - 00:47] Speaker A: That makes sense. But now that you mention it, there are a lot of other things that people believe are lucky too, like rabbits' feet and horseshoes.\n[00:47 - 00:52] Speaker B: Yes, I've heard of those things too. People seem to think that anything with four leaves is lucky.\n[00:52 - 00:57] Speaker A: Yeah, maybe because four is considered a lucky number in some cultures.\n[00:57 - 01:01] Speaker B: That's true. But whatever the reason, I'm glad you think I'm lucky!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--73764.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Geneva. I'm glad you could come over today.\n[00:03 - 00:06] Speaker B: Yeah, me too. It's been a while since we hung out.\n[00:06 - 00:20] Speaker A: I know. I've been really busy lately. But I missed you and wanted to catch up and see how you've been doing, especially since we haven't had a proper conversation in months and I'm curious about all the new developments in your life.\n[00:11 - 00:16] Speaker B: Oh, I've missed you too! But wait, busy with what? Work or something else?\n[00:17 - 00:28] Speaker A: Well, let's see...I started a new job, which has been keeping me busy. And I've been hanging out with my friends a lot too. But like I said, I really missed you and wanted to catch up.\n[00:28 - 00:33] Speaker B: Yeah, no worries. I'm always here for you if you need to talk or just want to hang out. So tell me about your new job!\n[00:34 - 00:48] Speaker A: It's great! I'm really enjoying it. It's a lot of work, but it's also really\n[00:49 - 00:53] Speaker B: Is it something in your field? You always wanted a job that challenges you.\n[00:53 - 01:00] Speaker A: Yes, it is! It's in my field, and it's definitely challenging, but in a good way. I feel like I'm growing a lot.\n[01:01 - 01:04] Speaker B: That sounds great. I'm happy to hear you're doing well.\n[01:04 - 01:10] Speaker A: Thanks, Geneva. I appreciate your support. So what about you? What's new with you?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--471264.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: No thank you, I'm not interested.\n[00:02 - 00:05] Speaker B: Oh, come on! Just take a look at this watch! It's a beauty!\n[00:05 - 00:09] Speaker A: Sorry, but I don't really need a watch right now.\n[00:09 - 00:19] Speaker B: Well, how about I give you a good deal on it? I'll give it to you for a special discount, just for you, and I can even throw in a free leather strap and a one-year warranty to sweeten the deal.\n[00:13 - 00:20] Speaker A: Half price? I appreciate the offer, but honestly, I'm just not in the market for a watch.\n[00:20 - 00:26] Speaker B: Are you sure? I can give you an even better deal! I'll give it to you for an even bigger discount, almost at cost price.\n[00:26 - 00:31] Speaker A: Free? That's really generous, but no, thanks. I just don't need it.\n[00:32 - 00:34] Speaker B: Why not? It's a great watch!\n[00:34 - 00:37] Speaker A: I just don't need it, that's all. Thanks anyway.\n[00:38 - 00:40] Speaker B: Well, if you change your mind, let me know!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1101616.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: I absolutely love my car. It's just so luxurious and comfortable to drive. I mean, every time I get in it I just feel like a million bucks.\n[00:09 - 00:14] Speaker B: Wow, it sounds like you really love your car! How much did you say it cost you again?\n[00:14 - 00:32] Speaker A: Nearly $300,000. But honestly, it was worth every penny. Plus, I got a great deal on it since I bought it from a previous owner who had taken great care of it and maintained all the service records meticulously, which gave me complete peace of mind about the purchase.\n[00:22 - 00:26] Speaker B: Sorry to interrupt, but did you consider any other models before deciding on this one?\n[00:26 - 00:45] Speaker A: I did look at a few other options, but none of them had the same appeal. However, I haven't mentioned why I chose to buy it used  because I felt it was a smart financial decision given the depreciation on new cars and the fact that luxury vehicles often lose significant value in just the first year of ownership.\n[00:46 - 00:53] Speaker B: Oh, buying it used makes sense. But I still can't imagine spending that much on a car, even if it is a Rolls Royce Ghost Series II!\n[00:53 - 01:03] Speaker A: Yeah, it was definitely a big purchase. But like I said, it was worth it to me. I just enjoy driving it so much and it makes me feel good when I'm in it.\n[01:04 - 01:10] Speaker B: Well, I'm glad you're happy with your purchase. It sounds like you made a great choice with the Rolls Royce Ghost Series II!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--511668.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Hey, I was just looking for some shampoo and I saw your suitcase and noticed it was almost full with clothes and toiletries neatly arranged. Are you bringing a lot of stuff for your upcoming trip?\n[00:03 - 00:07] Speaker B: Oh, sorry, I was just packing it up. Did you find everything you were looking for?\n[00:08 - 00:21] Speaker A: Yeah, I think so. I'm just double-checking to make sure I didn't forget anything. By the way, do you need any help with your packing? I've been to Maleek a few times and I know my way around pretty well.\n[00:22 - 00:28] Speaker B: Thanks, but I think I've got it covered. But actually, now that you mention it, do you have any tips on what I should definitely bring?\n[00:29 - 00:45] Speaker A: Sure! I'd recommend bringing some lightweight clothing because it can get really hot there. Also, don't forget sunscreen—it's a must  since the sun can be pretty intense, especially during midday when UV rays are strongest and you'll likely be exploring outdoor attractions.\n[00:45 - 00:48] Speaker B: Got it. Thanks for the heads-up. I'll be sure to pack those."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--927063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, so I've been thinking about this guy a lot lately and I can't figure out what his deal is.\n[00:06 - 00:07] Speaker B: What do you mean?\n[00:07 - 00:18] Speaker A: Well, we've been talking for a while now and things were going great. But lately it feels like he's pulling away. I don't know if I did something wrong or if he's just not that into me anymore.\n[00:19 - 00:20] Speaker B: Have you talked to him about it?\n[00:21 - 00:29] Speaker A: Yeah, but he just shrugs it off and says everything is fine. But I know something is up because he's been acting really distant lately.\n[00:30 - 00:41] Speaker B: Hmmm, that is strange. Do you think maybe he's seeing someone else or maybe dealing with some personal issues that he's not ready to talk about yet? Sometimes people withdraw when they're going through difficult times.\n[00:33 - 00:43] Speaker A: Wait, you think he might be seeing someone else? I mean, I hope not. That would suck if that was the case. But at this point, I'm not sure what to think anymore.\n[00:44 - 00:50] Speaker B: Well, you could always try talking to him again and see how he responds. If he's still acting distant, then maybe it's time to move on.\n[00:51 - 01:00] Speaker A: Yeah, you're right. I'll talk to him again and see what happens. But do you think I should bring up the possibility of him seeing someone else directly?\n[01:00 - 01:08] Speaker B: That's a tough one. It might make things awkward, but if it's really bothering you, it might be worth mentioning. Just be prepared for whatever answer he gives.\n[01:08 - 01:11] Speaker A: Thanks for the advice, I really appreciate it.\n[01:11 - 01:14] Speaker B: No problem, that's what friends are for. Good luck!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--831005.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Lily, I've noticed that the Chinese culture is very different from the American culture.\n[00:04 - 00:24] Speaker B: Yes, that's true. The Chinese culture is very ancient and has a lot of traditions that are unique to our country. For example, we always greet each other with a smile and have a lot of respect for our elders, especially in family settings or during important festivals like the Lunar New Year when we perform special rituals and ceremonies to honor our ancestors and maintain family bonds.\n[00:15 - 00:26] Speaker A: Sorry to jump in, but when you say \"respect for elders,\" how does that usually manifest in daily life? I'm curious because in America, the approach is quite different.\n[00:26 - 00:48] Speaker B: That's a great question. Respecting elders in China often means listening to their advice, giving them priority in social situations, and even using specific language to show deference. But I was also going to mention that this respect is deeply rooted in Confucian values, which have shaped much of our social interactions. For example, in a family setting, the eldest member usually has the final say in important decisions.\n[00:49 - 00:57] Speaker A: I see. I think it would be interesting to experience the Chinese culture firsthand. Do you think I could visit your country sometime?\n[00:57 - 01:01] Speaker B: Of course! I would love to show you around China. I think you would really enjoy it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--562877.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Hey Kaisyn, it's Kaniyah. I was just thinking about you and wanted to catch up and see how you're doing since we haven't had a proper conversation in what feels like forever.\n[00:04 - 00:10] Speaker B: Oh, hey Kaniyah! Sorry to jump in, but I was just thinking about you too. How have you been?\n[00:10 - 00:18] Speaker A: I'm doing good. Just missing you a lot lately. I was thinking about the time we spent together last summer and how much fun we had.\n[00:19 - 00:23] Speaker B: Yeah, I miss those times too. We should really try to get together more often.\n[00:24 - 00:35] Speaker A: I'd like that. I feel like we've both been so busy lately and it's hard to  make plans that actually stick because our schedules never seem to align properly no matter how much we try.\n[00:36 - 00:44] Speaker B: I know, right? It's like we're always running around. But I was wondering, do you have any free time coming up? Maybe we can plan something soon.\n[00:44 - 00:55] Speaker A: That sounds perfect. I was just about to say it's hard to find time to just relax and be with each other, but I'm definitely looking forward to spending more time with you soon."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--437038.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Hi, Karsen. What do you have in mind for the afternoon? I was thinking of grabbing a coffee later and maybe checking out that new bookstore that just opened downtown.\n[00:01 - 00:07] Speaker B: Sorry to jump in, but I just remembered, did you eat lunch today? I know you tend to skip meals when you're busy.\n[00:08 - 00:16] Speaker A: Oh, I did actually, but thanks for checking. I was saying I have a piece of apple here. I thought you might want a little snack.\n[00:16 - 00:19] Speaker B: That's so sweet of you! I am a little hungry, so I'll take it. Thank you.\n[00:20 - 00:22] Speaker A: You're welcome. How are you today?\n[00:22 - 00:25] Speaker B: I'm doing well, thanks for asking. How about you?\n[00:25 - 00:29] Speaker A: I'm good. Just enjoying the fresh air outside during my break.\n[00:30 - 00:33] Speaker B: Oh, before I forget, do you have any plans for the weekend?\n[00:33 - 00:43] Speaker A: Not really, just enjoying the day and planning to relax  by catching up on some reading and maybe going for a long walk in the park if the weather stays nice. How about you?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--42187.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, thanks for coming over. I really appreciate it.\n[00:03 - 00:08] Speaker B: No problem, I was happy to help out. Your place is really clean and well-kept.\n[00:08 - 00:21] Speaker A: Yeah, I like to keep things tidy. It just makes life easier when everything has its own designated spot, and you don't have to waste time looking for things or dealing with unnecessary clutter that can build up over time.\n[00:14 - 00:19] Speaker B: Speaking of which, do you have any tips for keeping things organized? I always struggle with that.\n[00:19 - 00:34] Speaker A: Sure, I can share a few tricks. But back to what I was saying, having a clean space at the end of the day is really important to me. Plus, it's nice knowing that everything is in its proper place and there's no mess to deal with.\n[00:34 - 00:37] Speaker B: Well, whatever your reasons are, your place looks great!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--226853.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, Mom and Dad. I just wanted to let you know that I got a 98 on my math test today.\n[00:07 - 00:15] Speaker B: Wow! That's amazing, Athanasios! We're so happy for you and impressed by your dedication to your studies! You've really shown tremendous growth this semester.\n[00:09 - 00:14] Speaker A: Thanks! I studied really hard for it and I'm just glad that it paid off.\n[00:14 - 00:20] Speaker B: proud of you! But how did you manage to prepare so well? Was there a particular strategy you used this time?\n[00:20 - 00:29] Speaker A: I focused more on practice problems and reviewed the concepts every night. I know that getting good grades is important for my future success.\n[00:29 - 00:36] Speaker B: We're glad that you understand that. We just want what's best for your future, and we're here to support you in any way we can.\n[00:36 - 00:44] Speaker A: I know. And I appreciate all that you've done for me. I promise to keep working hard in school so that I can make you proud.\n[00:44 - 00:51] Speaker B: you, and it's clear that your hard work is paying off. We already are proud of you, Athanasios. We love you no matter what."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--299895.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: I'm sorry about what happened last night. I was really embarrassed and I don't want to see you again because I'm afraid you'll think less of me or feel awkward around me after seeing me in such a vulnerable state where I couldn't control my actions properly.\n[00:08 - 00:12] Speaker B: Wait, why would you think I'd make fun of you? I thought we had a good time together.\n[00:13 - 00:19] Speaker A: I don't know, it's just that you seemed like you were laughing at me when I got drunk and started making a fool of myself.\n[00:20 - 00:35] Speaker B: I wasn't laughing at you, I was just surprised by how quickly you got drunk. And I wasn't making fun of you, I was just teasing you in a friendly way. I would never actually make fun of you behind your\n[00:38 - 00:42] Speaker A: Oh, I see. I guess I was just overreacting. I'm sorry.\n[00:43 - 00:47] Speaker B: It's okay, I understand. So are we good now? Can we see each other again?\n[00:47 - 00:49] Speaker A: Yeah, I'd like that."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--690063.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Blimy. I'm still pretty angry at you for what happened earlier today.\n[00:04 - 00:13] Speaker B: What are you talking about? I don't even know what you're mad about and I genuinely want to understand why you're so upset with me right now. Can you at least tell me what I did wrong?\n[00:08 - 00:14] Speaker A: You know exactly what I'm talking about. You ruined my plans and made me look like a fool in front of everyone.\n[00:15 - 00:24] Speaker B: I didn't mean to do that, Rayana. I was just trying to  help you out by offering my honest opinion, but I guess it didn't come across that way and I should have been more considerate of your feelings.\n[00:25 - 00:29] Speaker A: Well, you didn't help out. You just made everything worse.\n[00:29 - 00:32] Speaker B: I'm sorry, Rayana. I really am.\n[00:32 - 00:38] Speaker A: It doesn't matter if you're sorry or not. You still ruined my day and I'm going to get revenge.\n[00:38 - 00:39] Speaker B: What are you going to do?\n[00:40 - 00:42] Speaker A: I'm going to let the air out of your tire.\n[00:43 - 00:44] Speaker B: That's not very nice, Rayana.\n[00:45 - 00:49] Speaker A: I don't care if it's not nice. You deserve it for what you did to me today.\n[00:49 - 00:56] Speaker B: Fine, go ahead and let the air out of my tire. But know that two can play this game and I'll get revenge on you too someday."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--748910.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Sarah. How are you doing today?\n[00:02 - 00:04] Speaker B: I'm doing well, thanks. How about you?\n[00:05 - 00:08] Speaker A: I'm good. Just enjoying my day off from work.\n[00:09 - 00:10] Speaker B: What did you do with your day?\n[00:11 - 00:24] Speaker A: I went shopping and then got lunch at a really nice restaurant. It was so delicious! Now I'm just thinking about what to do next, maybe watch a movie or read a book while enjoying this beautiful weather we're having today.\n[00:17 - 00:21] Speaker B: Oh, where did you go for lunch? I'm always looking for new places to try.\n[00:21 - 00:28] Speaker A: I went to that new Italian place downtown. The pasta was amazing! Now I'm just relaxing at home.\n[00:28 - 00:32] Speaker B: That sounds like a great day! I wish I could have done something like that today.\n[00:33 - 00:46] Speaker A: Well, maybe we can go shopping together sometime soon! I'd love to treat you to lunch at a nice little café I discovered recently that has the most amazing homemade desserts and a cozy atmosphere perfect for catching up.\n[00:46 - 00:52] Speaker B: That would be awesome! But wait, do you think we should make a reservation in advance? Some places get really busy.\n[00:53 - 01:00] Speaker A: Good point! We should definitely make a reservation. I was going to say a nice restaurant, but we can plan the details later."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--153526.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey there. How are you doing today?\n[00:03 - 00:05] Speaker B: I'm doing well, thanks for asking. What about you?\n[00:06 - 00:09] Speaker A: I'm doing alright. Just enjoying the sunny day.\n[00:09 - 00:13] Speaker B: Yeah, it's really nice out today. So, what do you do?\n[00:13 - 00:33] Speaker A: I own a house in Arizona. I'm financially stable and don't have to rely on anyone else for help. I'm a self-sufficient individual who is capable of managing all aspects of my life independently, from handling household repairs to making important financial decisions without needing external assistance.\n[00:23 - 00:28] Speaker B: Sorry to jump in, but did you mean Amanda? Or is Amada a different person?\n[00:29 - 00:34] Speaker A: Oh, I meant to say I am self-sufficient and capable of taking care of myself and my property.\n[00:34 - 00:38] Speaker B: That sounds really great! I'm guessing you don't have to worry about money too much then?\n[00:39 - 00:42] Speaker A: No, I don't. I'm pretty comfortable financially.\n[00:43 - 00:45] Speaker B: That's great! So, do you like living in Arizona?\n[00:46 - 00:53] Speaker A: Yeah, I do. It's a nice place to live. The weather is great and there's plenty of things to do.\n[00:53 - 01:00] Speaker B: Yeah, it definitely seems like a great place to live. Well, I should probably get going. It was nice talking to you.\n[01:01 - 01:04] Speaker A: Yeah, same here. Take care."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--655306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Hi there, welcome to the party! I'm Nassir. It's great to see so many new faces here tonight and I'm really excited to get to know everyone who came out to celebrate with us.\n[00:03 - 00:09] Speaker B: Sorry to jump in, I'm (name). I just wanted to say, it's really nice to meet you too.\n[00:09 - 00:13] Speaker A: Nice to meet you as well! So, what brings you to the party?\n[00:13 - 00:18] Speaker B: I was invited by a friend. I didn't really know anyone here, but it sounded like it would be fun.\n[00:19 - 00:26] Speaker A: Yeah, it's been a great party so far. Have you had a chance to meet many interesting people or catch up with anyone you know?\n[00:26 - 00:32] Speaker B: Actually, not too many yet. I just got here a little while ago. But I've enjoyed talking to the people I have met so far.\n[00:33 - 00:39] Speaker A: That's great. Well, if you need someone to talk to, feel free to come find me. I'm always happy to chat with new people."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--475793.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I don't want you to know what I'm up to.\n[00:02 - 00:03] Speaker B: Why not?\n[00:03 - 00:06] Speaker A: Because I don't want you to be informed.\n[00:06 - 00:07] Speaker B: But why?\n[00:07 - 00:09] Speaker A: Because I want you to stay uninformed.\n[00:10 - 00:11] Speaker B: But why would you want that?\n[00:11 - 00:15] Speaker A: Because it's better for you if you don't know what's going on.\n[00:15 - 00:26] Speaker B: But how can that be better for me? If something is happening, I should know about it so that I can make an informed decision and protect myself if needed, especially since we're talking about something that might affect both of us directly.\n[00:21 - 00:25] Speaker A: Adryan, please, just trust me on this one. It's better if you don't know.\n[00:26 - 00:38] Speaker B: Trinidad, I can't just trust you blindly on this. You're not giving me any reasons why I should do as you  say without understanding the situation, especially when you're being so secretive about something that clearly seems important.\n[00:38 - 00:45] Speaker A: Fine, if you must know, it's because I don't want you to get involved and get hurt in whatever is going on.\n[00:45 - 00:47] Speaker B: And why would I get hurt if I knew what was going on?\n[00:48 - 00:52] Speaker A: Because you're too nosy and you would want to help, even though you can't.\n[00:52 - 00:56] Speaker B: Trinidad, I'm not a child. I can handle myself.\n[00:57 - 01:03] Speaker A: Adryan, this is non-negotiable. You are not going to get involved in this. End of discussion."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--449068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: I can't stand it when people are always late. It drives me crazy because it feels like they don't respect my time and it makes me question whether I should continue making plans with them at all.\n[00:03 - 00:10] Speaker B: Sorry to interrupt, but have you considered that some people might have legitimate reasons, like unexpected emergencies or traffic?\n[00:10 - 00:16] Speaker A: Yeah, I get that emergencies happen, but it still makes me so mad when people do that!\n[00:16 - 00:31] Speaker B: Well, maybe you should try to be more understanding. Everyone has different circumstances that can make them late  and sometimes it's really out of their control, especially in big cities where public transportation delays or sudden family obligations can completely derail someone's schedule.\n[00:31 - 00:39] Speaker A: I get that, but it's still really frustrating when people are always late! Have you ever experienced waiting for someone for over an hour?\n[00:39 - 00:46] Speaker B: I understand how you feel, but you shouldn't let it bother you so much. Maybe setting clear expectations with them could help."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--258280.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey there! How are you today?\n[00:02 - 00:13] Speaker B: I'm doing well, thank you. Just enjoying the fresh air and the sound of the water as it gently flows over the smooth rocks, creating a soothing melody that perfectly complements this beautiful sunny afternoon.\n[00:05 - 00:10] Speaker A: Sorry to jump in, but by \"enjoying,\" do you mean you're out here for a swim too?\n[00:11 - 00:18] Speaker B: Actually, I was just about to say I'm enjoying the day. But yes, I do love swimming in this stream. It's so peaceful and calming.\n[00:19 - 00:24] Speaker A: It does look like a great place to relax. I might have to try it sometime myself.\n[00:25 - 00:36] Speaker B: Yeah, I highly recommend it. There's just something about being in the water that  helps you disconnect from everything else and truly be present in the moment, feeling weightless and free as the current carries your worries away.\n[00:37 - 00:44] Speaker A: Speaking of water, do you think it's safe to swim here regularly? I'm just curious about the water quality.\n[00:44 - 00:50] Speaker B: Oh, definitely. The water here is clean and refreshing. But I was going to say it makes all your troubles disappear."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--346041.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, what are you afraid of?\n[00:02 - 00:03] Speaker B: I'm afraid of heights.\n[00:03 - 00:15] Speaker A: That's understandable. I'm afraid of them too, especially when I'm up on a high building without any safety harness or proper equipment, which can make the experience even more terrifying and overwhelming.\n[00:06 - 00:08] Speaker B: Really? I thought you were a professional stunt double.\n[00:09 - 00:17] Speaker A: I am, but that doesn't mean I don't get scared sometimes. Performing stunts is always a risk, no matter how experienced you are.\n[00:17 - 00:20] Speaker B: So what made you decide to become a stunt double?\n[00:20 - 00:41] Speaker A: I've always loved action movies and daredevil feats. When I was younger, I used to try to recreate some of the stunts I saw on TV or in movies. Obviously, I never had any professional training or equipment, so most of the time I just ended up hurting myself! But even then, I loved the thrill of it and knew that it was something I wanted to do for a living someday.\n[00:42 - 00:44] Speaker B: And now you're here, doing my stunts for me!\n[00:44 - 00:52] Speaker A: Exactly! It's always a pleasure to work with you, Ayelet. Even though your fears can sometimes make it challenging to get the perfect shot.\n[00:53 - 00:57] Speaker B: Yeah, I guess it must be tough for you to constantly be putting yourself in danger.\n[00:57 - 01:04] Speaker A: It can be, but I love what I do. And I know that you're always grateful for my help, even if you don't always show it.\n[01:05 - 01:09] Speaker B: Of course! I couldn't do this without you, Rylee. You're the best stunt double in the business."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--894199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: I swear to defend my country against all enemies, foreign and domestic. I am ready to do whatever it takes to ensure the safety and security of our people, even if it means making personal sacrifices and facing difficult situations head-on without hesitation.\n[00:07 - 00:11] Speaker B: Are you sure about this, Rohit? I mean, this isn't going to be easy.\n[00:11 - 00:26] Speaker A: I'm sure. I've never been more sure about anything in my life. I was going to say, to protect it, but I understand the risks and challenges ahead and I'm fully prepared to meet them with courage and determination because this is what I was born to do.\n[00:28 - 00:32] Speaker B: Okay, I won't try to talk you out of it then. Just know that we're counting on you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--277828.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, Mrs. Johnson. How are you today?\n[00:02 - 00:04] Speaker B: I'm doing well, thank you. How are you?\n[00:05 - 00:22] Speaker A: I'm doing okay. I was just wondering if you needed any help with anything around the house? I noticed that your gutters could use some cleaning and I know that can be a tough job for someone your age, especially with the weather getting colder and the leaves falling more frequently this time of year.\n[00:16 - 00:23] Speaker B: Oh, Kynlee, thank you for noticing! Actually, there's also a small leak in the roof that I've been worried about. Do you think you could take a look at that too?\n[00:24 - 00:28] Speaker A: Of course, I can check the leak as well. I'll go get my ladder and be right back.\n[00:29 - 00:32] Speaker B: Thank you so much, Kynlee! You're such a kind person."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--604536.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I feel like I need a change.\n[00:02 - 00:03] Speaker B: Okay, what are you thinking?\n[00:04 - 00:13] Speaker A: I want to shave my head completely, just to start fresh and feel renewed, like shedding an old identity and embracing a bold new chapter in my life.\n[00:05 - 00:10] Speaker B: Whoa, really? Are you sure you want to go that drastic? I mean, that's a big change.\n[00:10 - 00:14] Speaker A: Yeah, I'm sure. I just feel like I need to do something different.\n[00:15 - 00:19] Speaker B: But your hair is so beautiful! Have you thought about maybe just cutting it shorter instead?\n[00:19 - 00:24] Speaker A: Thank you, but I still want to do it. I think it'll help me feel more like myself.\n[00:25 - 00:31] Speaker B: Okay, well if that's what you really want then I support you. Let me know if you need help with anything."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--76363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much, what's up with you?\n[00:03 - 00:19] Speaker A: Just trying to figure out what I'm going to do with my life. I want to make a difference, but I don't know where to start or how to make sure I'm on the right path. Maybe I should explore different career options that align with my values and passions first.\n[00:10 - 00:16] Speaker B: Sorry to jump in, but have you thought about volunteering? It could be a good way to start making a difference while figuring things out.\n[00:17 - 00:45] Speaker A: That's a good idea. I was going to say I don't know where to start, but volunteering could give me some direction. Well, you're already a good person who always tries his best. You just need to keep doing that and eventually you'll find your way. Things might be tough sometimes, but you can't give up. Remember, Annalyn wants to be a better person and help others whenever he has the chance, even if it's in small ways like listening to someone who needs support or organizing community clean-up events.\n[00:47 - 00:52] Speaker B: I really appreciate you saying that, but do you think volunteering alone is enough to make a real impact?\n[00:53 - 01:05] Speaker A: Volunteering is just a start. It can open doors and help you connect with people who share your goals. Over time, you might find other ways to contribute, and as long as you keep that in mind, you'll be fine.\n[01:06 - 01:10] Speaker B: Yeah, I guess you're right. Thanks for the talk. I feel better now.\n[01:10 - 01:12] Speaker A: Anytime. That's what friends are for."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--214621.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Jareth, are you okay? You seem really upset about something that happened recently, like maybe a big argument or some kind of misunderstanding that's been weighing heavily on your mind.\n[00:03 - 00:05] Speaker B: It's nothing, I'm fine.\n[00:05 - 00:12] Speaker A: Sorry, but I can see that something is really bothering you. Please tell me what's wrong. I want to help if I can.\n[00:12 - 00:26] Speaker B: It's just...my family. They're always fighting and arguing with each other and it's really hard to deal with sometimes. I wish they could all just\n[00:27 - 00:38] Speaker A: I totally understand. Families can be tough to deal with sometimes, but they're also the people who love us the most. Maybe you should try talking to them about how you're feeling and see if that helps.\n[00:39 - 00:45] Speaker B: Yeah, maybe you're right. Thanks, Delvon. Just talking to you has made me feel a lot better already."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--246434.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, how are you doing today?\n[00:02 - 00:05] Speaker B: I'm doing well, thank you. How can I help you?\n[00:05 - 00:08] Speaker A: Well, I was called here to fix your boiler.\n[00:08 - 00:17] Speaker B: Oh, yes. Our heating's been inconsistent, especially in the mornings when the temperature drops significantly and we've noticed it takes much longer to warm up the house properly.\n[00:10 - 00:18] Speaker A: Acting up lately, right? No worries, I'll take a look at it right away. (He opens up the boiler and starts examining it.)\n[00:18 - 00:20] Speaker B: So what do you think is wrong with it?\n[00:20 - 00:27] Speaker A: It looks like the problem is a simple one. The part that's causing the issue is right here, and it's a bit worn out.\n[00:28 - 00:31] Speaker B: Oh, before you go on, do you have that part with you, or will you need to order it?\n[00:32 - 00:39] Speaker A: I actually have it with me, so I can replace it right now. Once I do that, your boiler should be good as new."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1174912.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Do you ever feel like things could be better? That we could do more to make a difference in the world?\n[00:05 - 00:12] Speaker B: Of course, I think everyone feels that way at some point. Why do you ask? Is there something specific on your mind?\n[00:12 - 00:19] Speaker A: Sorry, I just thought of something—do you think it's because we're too focused on our own lives that we don't see the bigger picture?\n[00:20 - 00:35] Speaker B: That's definitely part of it. We get caught up in our daily routines and forget how much potential we have as human beings to create change and make the world a better place. But it's not just that other people aren't doing their part, but that we ourselves aren't doing enough. We need to be the change we want to see in the world.\n[00:36 - 00:56] Speaker A: You're right, we do have a lot of power to make positive changes in the world. But it's not always easy to know where to start or what we can realistically achieve, especially when the problems seem so overwhelming and complex that it's hard to see how individual actions could possibly make a dent in such massive global issues.\n[00:45 - 01:07] Speaker B: Exactly! And that's why starting small is so important. If each of us does our part, no matter how small, it can add up to make a big difference. Just imagine if everyone started making an effort to recycle or reduce their carbon footprint. It would have a huge impact on the planet. And it's not just about taking action on big global issues either—even something as simple as being kinder to those around us can make a difference.\n[01:08 - 01:16] Speaker A: You're right, Yosef. We need to remember that every person has the ability to create change. Thank you for reminding me of that!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--934782.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Doctor, I just don't feel well at all. I'm tired all the time, my throat hurts, and I have this horrible headache.\n[00:07 - 00:11] Speaker B: Well, Zowie, let's take a look. First of all, how long have you been feeling this way?\n[00:11 - 00:18] Speaker A: I don't know, a week or two maybe? It started out slowly but then just got really bad all of a sudden.\n[00:18 - 00:28] Speaker B: Okay, well let's start with some basic questions then. Have you been having any unusual symptoms like dizziness or nausea that might help us pinpoint what's going on with your immune system?\n[00:22 - 00:30] Speaker A: Sorry, I just remembered something—my appetite has been really off too. I don't feel like eating much these days.\n[00:30 - 00:37] Speaker B: That's important to note. We'll definitely keep that in mind. But back to my earlier question, have you been having any fever?\n[00:37 - 00:40] Speaker A: No, no fever that I can recall.\n[00:40 - 00:42] Speaker B: Have you been having any chills?\n[00:42 - 00:46] Speaker A: Yeah, off and on I've had some chills, but nothing too bad.\n[00:47 - 00:49] Speaker B: Have you been feeling more tired than usual?\n[00:49 - 00:58] Speaker A: Yeah, like I said, I'm just really tired all the time. It's hard to get up in the morning and even when I do, I just feel exhausted by the end of the day.\n[00:59 - 01:04] Speaker B: Are you having any trouble breathing? Shortness of breath or anything like chest tightness or wheezing?\n[01:04 - 01:10] Speaker A: Actually, now that you mention it, my chest has been aching a bit lately. Could that be related?\n[01:10 - 01:16] Speaker B: It could be. We'll need to investigate that further. I was also going to ask if you've been coughing at all?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--868975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: I went to the mall today and saw a sign for a huge sale, so I went inside to check it out. But I didn't find anything I wanted to buy, even though I was hoping to find some good deals on winter coats and accessories that would complement my existing wardrobe.\n[00:08 - 00:12] Speaker B: What kind of sale was it? Was it for clothes, electronics, or something else?\n[00:13 - 00:16] Speaker A: It was mostly for clothes, but nothing really caught my eye.\n[00:17 - 00:32] Speaker B: Maybe you should have had an idea of what you were looking for before you went to the store. That way, you would have known whether or not the sale had what you were  interested in, and it might have saved you some time that could have been better spent browsing other stores or enjoying other activities at the mall.\n[00:32 - 00:41] Speaker A: I see what you mean. I guess I was just hoping to find something by chance. Next time I'll definitely plan better. Thanks for the advice!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--159547.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, what's up? How's your day going?\n[00:03 - 00:14] Speaker B: Not bad, just plugging away at some numbers. You know how it it gets when you're trying to make everything balance perfectly while also ensuring all the financial reports are accurate and compliant with the latest regulations.\n[00:06 - 00:12] Speaker A: Actually, speaking of numbers, I wanted to ask you—do you think we'll be able to close the books by the end of the week?\n[00:13 - 00:27] Speaker B: That's the plan, but it might be tight. I was just about to mention that sometimes it can be a bit mind-numbing staring at numbers all day long. But I like the challenge of trying to make everything balance out in the end. Plus, I get a sense of satisfaction when everything adds up perfectly.\n[00:28 - 00:33] Speaker A: I get that! And that satisfaction is probably what makes you such a great accountant.\n[00:33 - 00:38] Speaker B: Thanks, I appreciate that. I really do love my job, even though it can be challenging at times.\n[00:38 - 00:41] Speaker A: Well, we're lucky to have you on our team!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--217814.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: I'm really interested in history. It's so fascinating to learn about how people lived in different times and how they were affected by the events around them, especially when you consider the cultural and social dynamics at play in different eras.\n[00:15 - 00:22] Speaker B: Sorry to jump in, but I was just thinking—how do you usually approach learning about history? Do you focus on specific events or time periods?\n[00:22 - 00:46] Speaker A: I usually start with major events, but then I dive into the daily lives of people during those times. It's interesting to see how historical events shaped their lives. And you're right, there are definitely some lessons that we can learn from history. But it's also important to remember that history is always changing. As new information comes to light, our understanding of the past changes as well.\n[00:46 - 01:07] Speaker B: That makes sense. I guess I never really thought about it like that before. But it does seem like there would be a lot of gaps in our knowledge if we only relied on what was recorded without considering the perspectives that might have been left out or overlooked, which is why interdisciplinary approaches combining archaeology, anthropology, and textual analysis are becoming increasingly important in modern historical research.\n[00:55 - 01:10] Speaker A: Exactly! And that's why historians are always trying to fill in those gaps and build a more complete picture of what happened. It's an ongoing process, and sometimes we're successful and sometimes we're not, but that's what makes it so intriguing."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--578559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Mama, can I ask you something?\n[00:02 - 00:03] Speaker B: Yes, baby, what is it?\n[00:04 - 00:06] Speaker A: What do you think God is like?\n[00:06 - 00:17] Speaker B: Well, Nathen, I believe that God is a loving and caring being. I believe that he watches over us and guides us through our lives with infinite wisdom and compassion, helping us grow stronger through every challenge we face.\n[00:11 - 00:16] Speaker A: Do you think he watches over everyone, even people who don't believe in him?\n[00:16 - 00:19] Speaker B: Yes, I believe he does. He knows our thoughts and our actions.\n[00:20 - 00:24] Speaker A: So, if he knows everything we do then why do bad things happen to good people?\n[00:25 - 00:39] Speaker B: That's a difficult question to answer, Nathen. I don't know why bad things happen to good people. But I do know that God is with us always. Even in the darkest of times, he is  providing us with strength and comfort through his divine presence and the support of those around us who care.\n[00:40 - 00:45] Speaker A: But, Mama, if God is with us, why can't he stop the bad things from happening in the first place?\n[00:46 - 00:56] Speaker B: That's a very deep question, Nathen. Sometimes, it's hard to understand why things happen the way they do. Remember, I was saying that God protects us. He might not stop all bad things, but he helps us get through them."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--70224.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Wow, Sarah, this place is incredible! I've never seen anything like it before.\n[00:05 - 00:08] Speaker B: Yes, it's amazing, isn't it? It's called the Secret Garden.\n[00:08 - 00:21] Speaker A: The Secret Garden? What a magical place! How did you discover it while wandering through the dense forest paths that seem to lead nowhere, only to stumble upon this hidden paradise completely by accident?\n[00:13 - 00:18] Speaker B: Sorry to jump in, but I just realized—how safe is this area? I mean, is it okay to be here alone?\n[00:19 - 00:29] Speaker A: Oh, it's perfectly safe. I come here all the time by myself. As I was saying, I found it while exploring the woods behind my house. I've been coming here ever since.\n[00:30 - 00:33] Speaker B: It's so beautiful. I can't believe I've never seen it before.\n[00:34 - 00:37] Speaker A: Well, it is a bit hidden away. But I'm glad you like it.\n[00:38 - 00:39] Speaker B: I love it!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--603030.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hi, coach. I'm getting ready for my presentation to the board and I wanted to go over it with you one last time.\n[00:07 - 00:09] Speaker B: Absolutely. Let's take a look at your slides.\n[00:10 - 00:25] Speaker A: Okay. So, my presentation is about the new product development process that we've been refining over the past few months to ensure it's as efficient as possible while also maintaining high quality standards and meeting all regulatory requirements.\n[00:16 - 00:24] Speaker B: Sorry to jump in, but before we dive into the details, have you thought about how you'll address any potential concerns from the board regarding this process?\n[00:24 - 00:34] Speaker A: That's a good point. I was planning to discuss some areas for improvement later in the presentation. But first, I want to give them an overview of the process we've been using.\n[00:35 - 00:37] Speaker B: Got it. Let's continue with the overview then.\n[00:38 - 00:46] Speaker A: Okay. So, my first slide is an overview of the process that we've been using and how it aligns with our overall strategic goals.\n[00:46 - 00:51] Speaker B: Well, let's go through your presentation and see if there are any areas where we can make some changes or tweaks.\n[00:52 - 00:55] Speaker A: Thanks, coach. I feel a lot better now.\n[00:55 - 01:01] Speaker B: You're welcome. I think you'll do great. Just remember to stay calm and focused when you're presenting to the board.\n[01:01 - 01:03] Speaker A: I will. Thanks again for your help."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--228608.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: We just need to ask you a few questions, Farrah. You're not under arrest or anything, we just want to get some information from you.\n[00:08 - 00:11] Speaker B: I don't know what you want me to tell you. I didn't do anything wrong.\n[00:11 - 00:29] Speaker A: Can you just answer the questions please? We'll try to make this as quick and painless as possible. Just tell us what happened that night. You were at the party, right? What did you see? Who did you talk to during the evening and can you describe any particularly interesting conversations you might have had with other guests?\n[00:23 - 00:28] Speaker B: I didn't really see anything. I was just talking to people and then I left. That's all I remember.\n[00:29 - 00:32] Speaker A: Farrah, please. This is important. We need your help.\n[00:33 - 00:37] Speaker B: I don't know what you want me to say! I didn't see anything, I swear!\n[00:37 - 00:52] Speaker A: Fine. If you're not going to cooperate, we'll have to take you down to the station and hold you for questioning. Maybe that will jog your  memory about specific details from that night including who you interacted with and what time certain events might have occurred.\n[00:52 - 00:57] Speaker B: No, no, I'll talk! I'll tell you what happened! Just don't take me to the station, please!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1004891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey man, what's up?\n[00:01 - 00:04] Speaker B: Not much, just wanted to talk to you about something.\n[00:04 - 00:06] Speaker A: Yeah, what's up?\n[00:06 - 00:17] Speaker B: Well, I noticed that you've been ignoring me lately and I just wanted to see if everything's okay between us because it's been bothering me and making me question whether I might have done something to upset you unintentionally.\n[00:10 - 00:17] Speaker A: Sorry to cut you off, but are you sure it's not just a misunderstanding? I've been swamped with work lately.\n[00:17 - 00:23] Speaker B: I get that, but it feels like it's been happening a lot. I just wanted to know if there's something else going on.\n[00:23 - 00:29] Speaker A: Uh, I don't know. I'm just really busy right now and I don't have time for small talk.\n[00:30 - 00:34] Speaker B: Oh, okay. I understand. Just wanted to make sure there wasn't anything wrong.\n[00:34 - 00:37] Speaker A: No, no everything's fine. Thanks for checking in though."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--415948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Sarah. I need to talk to you about something.\n[00:03 - 00:04] Speaker B: What's up?\n[00:05 - 00:18] Speaker A: It's just, I don't really know how to say this, but I think I might be questioning my sexuality, and I wasn't sure how you'd react because you've always been my closest friend and I value your opinion more than anyone else's.\n[00:09 - 00:14] Speaker B: Oh, Malana, before you say anything more, I just want you to know that whatever it is, I'm here for you.\n[00:14 - 00:17] Speaker A: I was going to say I might be gay.\n[00:17 - 00:21] Speaker B: Malana, I don't care if you're gay. I love you no matter what.\n[00:21 - 00:23] Speaker A: Really? You're not mad?\n[00:24 - 00:26] Speaker B: Of course not! Why would I be mad?\n[00:27 - 00:32] Speaker A: I don't know. I just thought you might be upset or worried that it would change our friendship.\n[00:32 - 00:37] Speaker B: Upset? No way. I'm just so proud of you for being honest with yourself and with me.\n[00:38 - 00:40] Speaker A: Thanks, Sarah. That means a lot."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1084325.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:18] Speaker A: Well, I invented this thing called the telephone. It's a machine that you can use to talk to someone else even if they're not in the same room as you, which I think could really change how we communicate in the future by eliminating the need for physical proximity and enabling instant conversations across vast distances.\n[00:08 - 00:14] Speaker B: Wait, did you just say you invented the telephone? That's huge! How did you come up with that idea?\n[00:14 - 00:31] Speaker A: Yeah, it just came to me when I realized how inconvenient it was to communicate over long distances. So, the telephone allows you to speak into one part of the machine, and your voice is carried through wires to the other person. They can then hear your voice coming out of another part of the machine.\n[00:32 - 00:41] Speaker B: Wow, that's amazing! I can't believe you invented something like that. But, do you think people will actually use it? I mean, it sounds revolutionary, but will they understand how to use it?\n[00:41 - 00:54] Speaker A: I know, it's pretty cool. I think it will change the way people communicate, but you're right—getting people to adopt it might take some time. I'm hoping that once they see how easy and useful it is, it will catch on quickly.\n[00:55 - 00:57] Speaker B: I'm sure it will. It's a great invention."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--742899.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: Sarah, isn't this view just incredible? I feel so alive up here, like I could stay forever and just soak it all in while watching the sunset paint the mountains in shades of gold and crimson.\n[00:04 - 00:10] Speaker B: Sorry to interrupt, but I just realized—do you think we should bring the others up here sometime? They would love it!\n[00:10 - 00:18] Speaker A: Oh, definitely! They would be blown away by this place. I was just saying how the air is so fresh and invigorating up here.\n[00:18 - 00:24] Speaker B: It's definitely a great place to clear your head. I come up here all the time when I need to think or just be by myself.\n[00:24 - 00:33] Speaker A: I can understand why. It's so peaceful and beautiful. I feel so lucky that we live close enough to come up here whenever we want.\n[00:33 - 00:37] Speaker B: Yeah, it's definitely one of the best things about living in this area."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--169891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: You know, it's really annoying when things are loose and they just don't stay in place like they're supposed to, especially when you're in the middle of an important task and everything keeps falling apart because of poor craftsmanship.\n[00:03 - 00:09] Speaker B: Oh, absolutely! Like when you try to hang something, and it just won't stay in place. Why can't they just be tight and sturdy?\n[00:09 - 00:14] Speaker A: Exactly! It drives me crazy when I see a loose screw or a crooked picture frame.\n[00:15 - 00:22] Speaker B: Yeah, it's like they're just begging to be fixed. But you know, sometimes I wonder if people even notice these things or if it's just us.\n[00:23 - 00:35] Speaker A: Right? And it's not like it's that hard to fix them, but people just don't bother. Or they don't have the time, or they don't know how. But it just drives me up the wall when things are out of place or not functioning properly.\n[00:35 - 00:48] Speaker B: I totally get you. There's nothing worse than trying to use something and it's just not working right because someone didn't take the time to fix it properly. Speaking of which, do you think it's just laziness, or maybe they don't have the right tools?\n[00:48 - 00:55] Speaker A: It could be either, honestly. But what's the point of having things if they're just going to be broken and dysfunctional?\n[00:56 - 01:00] Speaker B: Yeah, it's really frustrating. Especially when it's something you need to use regularly.\n[01:00 - 01:09] Speaker A: I know, I feel like I could go on about this forever. But I should probably get back to tightening this screw before it drives me even crazier.\n[01:09 - 01:12] Speaker B: Yeah, you probably should. Thanks for fixing that, by the way.\n[01:13 - 01:17] Speaker A: No problem. Just doing my part to keep things in working order around here."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--123906.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: This is so frustrating. I can't believe I have to do this by myself, especially when I have so much on my plate already and nobody seems to understand how overwhelmed I'm feeling right now.\n[00:03 - 00:08] Speaker B: Sorry to jump in, but do you have all the tools you need? I can grab anything you're missing.\n[00:08 - 00:16] Speaker A: I think I have everything, but it's just so annoying. I wish I could just wave a magic wand and make this all go away.\n[00:17 - 00:29] Speaker B: Well, unfortunately, we don't have magic wands. But changing a tire isn't that difficult once you know how to do it. Just take your time and be  patient with yourself because rushing through it might lead to mistakes and we definitely don't want that to happen.\n[00:30 - 00:34] Speaker A: Be careful, right? Yeah, I guess you're right. Thanks for your help."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--372789.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, what do you think my chances are?\n[00:02 - 00:07] Speaker B: Well, it depends. Have you been keeping up with the evidence and discovery in the case?\n[00:07 - 00:24] Speaker A: Yeah, I've been reading everything. It seems like the prosecution has a lot of circumstantial evidence, but nothing that directly ties me to the crime scene which is actually a good thing because without concrete proof, it becomes much harder for them to secure a conviction in court.\n[00:16 - 00:23] Speaker B: Sorry to interrupt, but when you say \"circumstantial evidence,\" do you mean they lack direct witnesses or physical proof?\n[00:23 - 00:44] Speaker A: Exactly, they don't have direct witnesses or physical proof. That's true. But you can't underestimate them. They may have something that we don't know about yet. The best thing you can do is to keep gathering as much information as possible  and stay ahead of any surprises by thoroughly reviewing all the case documents and anticipating their possible arguments.\n[00:45 - 00:48] Speaker B: Wait, are there any potential risks we haven't considered yet?\n[00:48 - 00:57] Speaker A: The best thing you can do is to keep preparing your defense and be ready for anything. Alright. I just want to make sure I'm doing everything I can to win this case.\n[00:58 - 01:02] Speaker B: You're doing everything you can. Just keep positive and don't give up hope."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--65045.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm so sorry to hear about your daughter. I can't imagine how you're feeling.\n[00:04 - 00:18] Speaker B: Thank you. I'm just struggling to figure out how I'm going to pay for her hospital bill. It's so expensive and I don't have enough savings to cover it all, and I'm worried about how to manage the payments while also taking care of my other children and keeping up with our daily expenses.\n[00:11 - 00:20] Speaker A: Insurance? I understand, that must be incredibly stressful. Listen, let me help you out with that. I'll pay for your daughter's hospital bill.\n[00:21 - 00:25] Speaker B: Oh, no, I couldn't possibly accept that kind of help from a stranger.\n[00:25 - 00:34] Speaker A: It's no problem at all. Really, it's the least I can do. Let me take care of this for you. You shouldn't be worrying about finances at a time like this.\n[00:35 - 00:41] Speaker B: But are you sure? I mean, that's such a huge amount, and I don't want to put you in a difficult position.\n[00:41 - 00:45] Speaker A: I'm sure. It's the right thing to do. Let me help you out here.\n[00:45 - 00:48] Speaker B: Thank you so much, Joshua. You're a lifesaver!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--104984.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, man. What's up?\n[00:01 - 00:03] Speaker B: Not much. Just hanging out, you know?\n[00:04 - 00:09] Speaker A: Yeah, I know. I'm just glad we can spend some time together. It's been a while.\n[00:09 - 00:20] Speaker B: Yeah, I know. But it's good to see you again. So, what do you want to do today? I was thinking we could catch up over some good food and maybe explore some new places in the city that we haven't visited before.\n[00:13 - 00:18] Speaker A: Actually, I was wondering, have you heard anything about that new restaurant downtown?\n[00:18 - 00:22] Speaker B: Not really, but I heard it's pretty good. What do you want to do today?\n[00:22 - 00:25] Speaker A: I don't know. What do you want to do?\n[00:25 - 00:30] Speaker B: Well, I was thinking we could go get something to eat or something like checking out that new place downtown.\n[00:31 - 00:37] Speaker A: Oh, speaking of eating, did you remember to bring your wallet? Last time we went out, you forgot it.\n[00:38 - 00:40] Speaker B: Sounds good to me. I'm starving.\n[00:41 - 00:42] Speaker A: All right then, let's go!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--231370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I can't believe you're running for office. You're so inexperienced. I don't think you'll be able to effectively represent the people.\n[00:07 - 00:19] Speaker B: I understand your concerns, but I believe that I have the skills and the knowledge to do a great job by bringing fresh perspectives and new ideas to the table that will address the current challenges our community is facing in innovative ways.\n[00:13 - 00:19] Speaker A: But you've never even held an elected position before. How can we be sure that you'll be able to handle the pressure?\n[00:20 - 00:28] Speaker B: Pressure is something that I'm used to. I've been working in high-pressure environments for years. I know how to handle difficult situations and make decisions under stress.\n[00:29 - 00:35] Speaker A: That may be true, but this is different. This is politics. It's a whole different game.\n[00:35 - 00:42] Speaker B: Maybe so, but I'm confident that I can do it. And even if there are some bumps along the way, I'm willing to learn and grow from them.\n[00:42 - 00:45] Speaker A: I don't know...I just don't think you're ready for this.\n[00:46 - 00:56] Speaker B: Dimitri, I appreciate your concerns. But at the end of the day, it's up to the voters to decide whether or not they think I'm qualified. I believe that I am, and I hope that they'll see that as well."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--619961.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, how are you doing?\n[00:02 - 00:06] Speaker B: Hey Lino. I'm doing alright, I guess. Just feeling a little down lately.\n[00:06 - 00:10] Speaker A: Oh, I'm sorry to hear that. What's been going on?\n[00:10 - 00:25] Speaker B: Well, my parents are getting divorced and it's just really hard to see them go through all of this fighting. And on top of that, my grades have been slipping and I'm just feeling really stressed out by everything especially since final exams are coming up soon and I haven't had the mental space to properly prepare for them.\n[00:19 - 00:29] Speaker A: Overwhelmed? I can totally understand that. Divorce is such a tough situation, and when it affects your grades too, it must feel like everything is piling up at once.\n[00:29 - 00:43] Speaker B: Yeah, it's been pretty rough. But I'm trying to stay positive and focus on the good things in my life. Like my friends and family who are supportive and love me no matter what. That helps a lot knowing that I have people who care about me even when things are falling apart in other areas."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--378283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, Andrey, how are you feeling about driving so far?\n[00:03 - 00:05] Speaker B: It's been a lot of fun. I'm really enjoying it.\n[00:06 - 00:21] Speaker A: That's great to hear! What do you think is the most challenging part of getting comfortable with driving in different weather conditions, especially when you encounter sudden changes like heavy rain or unexpected fog that can really test your reaction time and vehicle control skills?\n[00:10 - 00:16] Speaker B: I would say it's getting used to all the different controls in the car. It seems like there's a lot to remember and keep track of.\n[00:16 - 00:30] Speaker A: You're right, there are a lot of controls in a car. But with practice, it will become second nature to you. Just take your time and don't get overwhelmed by the number of things happening at once. Focus on one thing at a time.\n[00:30 - 00:36] Speaker B: Actually, speaking of not getting overwhelmed, do you have any tips for staying calm during stressful situations on the road?\n[00:37 - 00:50] Speaker A: Absolutely, staying calm is crucial. One thing that helps is to always plan ahead and stay aware of your surroundings. Also, remember that it's okay to take a deep breath and refocus if you start to feel stressed."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--55746.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: I can't imagine how they must feel, being in that situation. It's just so unfair.\n[00:05 - 00:19] Speaker B: I know. It's hard to even think about what they must be going through. But we have to try to put ourselves in their shoes and understand how they cope with such overwhelming circumstances every day while maintaining their dignity and finding small moments of joy amidst the struggle.\n[00:12 - 00:21] Speaker A: Absolutely, but what if we can't fully understand? I mean, it's one thing to empathize, but truly grasping their reality seems almost impossible.\n[00:22 - 00:37] Speaker B: True, we might never fully grasp it, but even trying to understand can make a difference. They must feel so hopeless and exhausted from constantly battling against the odds while simultaneously trying to maintain some semblance of normal life for themselves and their loved ones.\n[00:36 - 00:40] Speaker A: Helpless, yes. And that helplessness is what makes it even more heartbreaking."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--63072.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I wish you were here, too. I miss you a lot, especially during moments like these when I just want to share everything with you.\n[00:07 - 00:12] Speaker B: I miss you, too. It's been so hard being away from you. Do you think we can plan a visit soon?\n[00:13 - 00:18] Speaker A: Yeah, I know. I hate that we're not together right now. Maybe we could plan something for next month?\n[00:19 - 00:25] Speaker B: Me too. It feels like there's this big hole in my life without you. Next month sounds perfect.\n[00:25 - 00:36] Speaker A: I know exactly what you mean. But we'll be together again soon, I believe it will make us appreciate our time together even more and strengthen our bond through all these challenges we're facing right now.\n[00:29 - 00:32] Speaker B: I really hope so. I just want to hold you again.\n[00:32 - 00:34] Speaker A: I can't wait to see you again, Bretton."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--84371.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Hi, boss. I just wanted to apologize for what happened yesterday. I know I shouldn't have lost my temper like that during our meeting, and it was unprofessional of me to raise my voice when we were discussing the quarterly reports.\n[00:06 - 00:09] Speaker B: Malana, what are you talking about? What happened yesterday?\n[00:09 - 00:34] Speaker A: Uh, well, when I came into your office and you were on the phone, and I could tell you were upset about something. And then you hung up and said that we needed to talk. And I could tell you were angry, so I started apologizing right away. But then you just seemed confused and asked me  why I was apologizing when you hadn't even mentioned anything about my behavior yet, which made me even more flustered and uncertain about the whole situation.\n[00:34 - 00:41] Speaker B: Wait, hold on. Are you sure it was me? I don't remember any of that happening. Are you sure it was yesterday?\n[00:41 - 00:45] Speaker A: Yeah, pretty sure. It was around lunchtime, I think.\n[00:46 - 00:51] Speaker B: Well, I'm sorry, Malana, but I don't remember any of it. Maybe you're mistaken about what happened.\n[00:51 - 00:55] Speaker A: No, I'm sure that's what happened. I was just trying to apologize.\n[00:56 - 01:02] Speaker B: It's okay, Malana. Don't worry about it. If you say it happened, then I believe you. Let's just forget about it and move on."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--581770.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Congratulations, Elysia. You've really earned this promotion.\n[00:04 - 00:19] Speaker B: Thank you so much, boss. I'm really excited about it. It's been a long time coming and I feel like I've worked hard to demonstrate my capabilities and contribute to the team's success by implementing new strategies and mentoring junior team members to help everyone grow together.\n[00:10 - 00:17] Speaker A: Sorry to jump in, but I just wanted to ask—how do you feel about the added responsibilities that come with this new role?\n[00:18 - 00:28] Speaker B: I'm definitely ready for the challenge. I know it will be a lot more work, but I'm confident I can manage it. And I was going to say, I feel like I've worked hard to get to this point, so I'm ready to prove myself.\n[00:29 - 00:37] Speaker A: You have indeed. We think very highly of you here at the company and we know that you'll do great things in your new role as senior editor.\n[00:37 - 00:40] Speaker B: Thank you, boss. I really appreciate your confidence in me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--748077.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: I got my hair cut yesterday, and I really don't like it. The barber just didn't seem to understand what I wanted, even though I tried to explain it clearly with multiple examples and even brought reference photos from different angles.\n[00:06 - 00:10] Speaker B: Oh no, that sounds frustrating. Did you try showing them a picture of what you wanted?\n[00:11 - 00:19] Speaker A: I did, but it's too short on the sides and the back, and it's not styled the way I wanted it. I feel like a total slob.\n[00:20 - 00:26] Speaker B: I'm sorry to hear that, Ronni. Maybe there's something we can do to fix it. Have you tried styling it differently?\n[00:27 - 00:34] Speaker A: I've tried a few things, but nothing seems to work. It just looks bad no matter what I do, and it's really starting to get on my nerves.\n[00:35 - 00:42] Speaker B: I get it, but sometimes a fresh perspective helps. Why don't you let me take a look at it? Maybe I can suggest something.\n[00:42 - 00:46] Speaker A: Sure, why not? It can't look any worse than it does now.\n[00:46 - 00:54] Speaker B: Okay, let's take a look. Hmm...I think we can definitely improve it. I think if we style it differently, it will look much better.\n[00:55 - 00:56] Speaker A: Really? You think so?\n[00:57 - 00:59] Speaker B: Absolutely! Let me show you what I mean."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--494198.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi, thanks for coming today. I'm really excited to start my yoga journey.\n[00:05 - 00:12] Speaker B: Great! Yoga is a great way to improve flexibility and energy levels. Let's get started with some basic stretches.\n[00:12 - 00:14] Speaker A: Ok, sounds good.\n[00:14 - 00:26] Speaker B: First, we'll do a forward bend. Bend at the waist and touch your toes, or as close as you can get while maintaining a comfortable stretch in your hamstrings and keeping your spine long and relaxed. Don't worry if you can't reach them yet.\n[00:18 - 00:23] Speaker A: Wait, should I be focusing on keeping my legs straight or is it okay if they bend a little?\n[00:24 - 00:37] Speaker B: It's okay if they bend a little, especially if you're just starting out. The important thing is to feel the stretch in your hamstrings. Now, let's move on to a side stretch. Reach your arm up overhead and lean to the side. Hold for 10 seconds and then switch sides.\n[00:37 - 00:42] Speaker A: This is harder than it looks! But I feel my muscles working already.\n[00:42 - 00:56] Speaker B: That's great! Next we'll do a backbend. Lie on your back and put your hands behind your head. Slowly arch your back off the ground until you feel a stretch in your chest and shoulders. Hold for 10 seconds and then gently lower yourself back down to the ground.\n[00:56 - 01:03] Speaker A: Sorry, I just want to make sure—should I be pressing my lower back into the ground before starting the arch?\n[01:03 - 01:18] Speaker B: Yes, exactly! Press your lower back into the ground first to protect your spine, then slowly arch up. After you release, we'll finish up with some deep breathing. Lie on your back and close your eyes. Take a deep breath in through your nose and exhale out through your mouth. Repeat this 10 times."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--484021.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi, I'm here to test drive the car that I saw online.\n[00:04 - 00:07] Speaker B: Great! What model are you interested in?\n[00:07 - 00:10] Speaker A: The one that I was looking at was the new BMW M3.\n[00:11 - 00:16] Speaker B: That's a great choice! Let me grab the keys and we'll go over some of the features before heading out for the test drive.\n[00:17 - 00:24] Speaker A: Before we go, could you tell me a bit more about the car's features? I want to make sure it has everything I'm looking for.\n[00:25 - 00:34] Speaker B: Absolutely! The BMW M3 comes with a twin-turbo inline-six engine, adaptive suspension, and a premium interior with all the latest tech.\n[00:34 - 00:35] Speaker A: Sounds good to me.\n[00:36 - 00:39] Speaker B: This car is amazing! The acceleration is incredible!\n[00:39 - 00:52] Speaker A: Yeah, it's definitely a powerful car. But what do you think about the overall driving experience and how it compares to other performance vehicles you've driven in terms of comfort and daily usability?\n[00:45 - 00:52] Speaker B: Sorry to cut in, but I just noticed the steering wheel feels a bit stiff. Is that normal, or is it adjustable?\n[00:52 - 01:03] Speaker A: It's normal for the M3, but it does have adjustable settings to customize the steering feel to your preference. Now, as I was saying, what do you think about the handling overall?\n[01:03 - 01:07] Speaker B: It feels really good. It's responsive and precise. I love it!\n[01:08 - 01:11] Speaker A: Great! So you're interested in purchasing this car?\n[01:12 - 01:14] Speaker B: Yeah, I think I am. How much is it?\n[01:15 - 01:17] Speaker A: It's $60,000.\n[01:17 - 01:20] Speaker B: That's a lot of money. I'm not sure if I can afford that."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--873625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey girl, how are you doing today?\n[00:02 - 00:13] Speaker B: I'm good, Patryk. I'm just excited to play fetch with you like we always do, especially when we get to run around in the sunshine and enjoy each other's company while getting some great exercise together.\n[00:06 - 00:13] Speaker A: Oh, speaking of fetch, do you think we should try that new park down the street? I heard it's got a lot of open space.\n[00:14 - 00:20] Speaker B: That sounds fun! I was going to say, I'm always excited to play fetch with you because you're so enthusiastic and make the game so fun.\n[00:21 - 00:36] Speaker A: Well, I love playing with you too because you're such a good listener and you always seem to know exactly what I'm thinking. Sometimes it feels like we can communicate without even needing to say a word, just through our actions and gestures.\n[00:36 - 00:41] Speaker B: Without even speaking, right? It's like we have our own little language that only we understand.\n[00:42 - 00:47] Speaker A: Exactly! I think that's what makes our friendship so special. We just get each other, you know?\n[00:48 - 00:55] Speaker B: Yeah, I know. And I'm always so happy to see you. You always make me feel loved and appreciated, and I cherish that about our friendship.\n[00:55 - 01:02] Speaker A: Aw, thanks girl. I feel the same way about you. I'm really lucky to have you in my life."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1050427.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: I really enjoy staying up late at night. It's so peaceful and I can finally have some time to myself without any interruptions, allowing me to focus on my hobbies or simply unwind with a good book in complete tranquility.\n[00:03 - 00:08] Speaker B: I can understand that. Sometimes I feel the same way. But don't you find it a bit lonely?\n[00:08 - 00:14] Speaker A: No, not at all. I actually feel more relaxed and comfortable when it's dark outside.\n[00:14 - 00:23] Speaker B: That makes sense. I guess it's just different for everyone. Some people need the bustle of activity to feel relaxed, while others like the peace and quiet of the night hours.\n[00:23 - 00:43] Speaker A: Exactly. I find that the night time is when I can really think and reflect on my day. Plus, there are no distractions like there are during the  day when everyone is awake and there's so much going on, from constant phone notifications to colleagues stopping by my desk for impromptu conversations that break my concentration.\n[00:44 - 00:51] Speaker B: Speaking of distractions, do you ever feel like staying up late affects your productivity the next day? I sometimes struggle with that.\n[00:51 - 01:03] Speaker A: It can be tricky, but for me, the quiet at night outweighs the tiredness the next day. I was going to mention that during the day, there are just too many things pulling me in different directions."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--956648.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey boss, what's up?\n[00:01 - 00:03] Speaker B: Not much, what's up with you?\n[00:03 - 00:15] Speaker A: Just trying to stay ahead of the competition and be the best that I can by constantly improving my skills and staying updated with industry trends through continuous learning and professional development courses.\n[00:07 - 00:14] Speaker B: Speaking of competition, have you had a chance to look at the latest market trends? I think it might give us an edge if we adjust our strategy.\n[00:15 - 00:25] Speaker A: I haven't yet, but I was about to mention that I'm also focusing on personal growth alongside work. But you're right, analyzing those trends could really help us stay ahead.\n[00:26 - 00:33] Speaker B: Absolutely, and your focus on personal growth is important too. It all ties together in the long run. Keep it up and you'll go far."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--671614.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: It's really great to meet you, Sarah. What do you do?\n[00:03 - 00:04] Speaker B: I work in marketing.\n[00:05 - 00:09] Speaker A: That sounds like a really interesting field. What do you like most about it?\n[00:10 - 00:27] Speaker B: I love the challenge of creating campaigns that will resonate with people and get them to take action. It's always exciting to see how people respond to what we put out there, especially when it sparks a conversation or drives engagement across multiple platforms and demographics, leading to measurable business results.\n[00:18 - 00:24] Speaker A: Speaking of responses, have you ever had a campaign that didn't go as expected? How did you handle that?\n[00:25 - 00:37] Speaker B: Oh, definitely. Not every campaign is a hit. When something doesn't work, we analyze the data, figure out what went wrong, and adjust our strategy. But I was going to say, it's really satisfying when a campaign does resonate with the audience.\n[00:38 - 00:45] Speaker A: That makes sense. It must be rewarding to see your hard work pay off. Do you have any favorite campaigns that you've worked on?\n[00:46 - 00:59] Speaker B: Oh, there are so many! But one that comes to mind is a campaign we did for a new product launch. We had to come up with a way to get people interested in trying something completely new, and I think we succeeded. The product ended up being a huge success.\n[00:59 - 01:05] Speaker A: That's amazing! I'm sure you were a big part of that. What was your role in the campaign?\n[01:05 - 01:14] Speaker B: I was in charge of the social media aspect of it. I created some ads and posts that ended up getting a lot of attention. It was a lot of work, but it was worth it in the end.\n[01:15 - 01:20] Speaker A: That sounds like an incredible accomplishment. I'm sure you're very proud of it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1113674.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Ms. Jones! How are you today?\n[00:02 - 00:05] Speaker B: I'm doing well, Marlaina. How are you?\n[00:05 - 00:11] Speaker A: I'm good. I was just wondering if you had any advice on how to become a better artist.\n[00:12 - 00:43] Speaker B: Well, Marlaina, the best way to become a better artist is to practice as much as possible and to never give up on your art. You have to be willing to put in the hard work and dedication required to improve your skills. Also, it's important to study other artists and learn from them. There's no one right way to do things in art, so by looking at what others have done, you can gain insights into different techniques and approaches that you might not have considered before, while also developing a deeper appreciation for the creative process and artistic expression across various mediums and styles.\n[00:32 - 00:40] Speaker A: Sorry to jump in, but when you say \"study other artists,\" do you mean like copying their work or just observing their techniques?\n[00:41 - 00:55] Speaker B: Great question! I mean more about observing their techniques and understanding the choices they make in their work. By doing that, you can start to develop your own unique style. Keep experimenting and pushing yourself creatively, and eventually you'll start seeing improvement in your work.\n[00:55 - 01:02] Speaker A: Yeah, I definitely need to practice more. I'm always second-guessing myself and my abilities.\n[01:02 - 01:12] Speaker B: It's normal to feel that way, Marlaina. Just remember that everyone goes through ups and downs with their art. The important thing is to keep going and to never give up. You'll get there eventually if you keep at it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--47850.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey Val, are you all packed for our camping trip?\n[00:03 - 00:08] Speaker B: Yeah, I think so. I have the tents, food, and clothes. Did you remember to pack your bag?\n[00:09 - 00:24] Speaker A: Yes, I did. I have everything we need. Are you sure you're ready for this? It's going to be a lot of fun, but also quite challenging with all the hiking and outdoor activities we have planned, especially since neither of us has much wilderness experience.\n[00:15 - 00:19] Speaker B: Actually, I just realized I might have forgotten the matches. Do you have any in your bag?\n[00:20 - 00:26] Speaker A: Oh, I didn't check for matches. I'll make sure to pack them. So, you were saying you were looking forward to it?\n[00:27 - 00:31] Speaker B: Yeah, I'm ready. I've been looking forward to it for a while. Thanks for planning it all out.\n[00:32 - 00:41] Speaker A: No problem. I know we both needed a break from work and life in general. It'll be nice to relax in nature for a few days and just unwind.\n[00:41 - 00:46] Speaker B: Speaking of relaxing, did we decide on any specific activities to do while we're there?\n[00:46 - 00:53] Speaker A: I was thinking we could go hiking and maybe do some fishing. But I haven't mentioned the exact schedule yet.\n[00:53 - 00:56] Speaker B: Definitely. So, what time are we leaving tomorrow morning?\n[00:56 - 01:03] Speaker A: Around 9am should be good. That will give us enough time to get there and set up camp before it gets dark.\n[01:03 - 01:05] Speaker B: Sounds perfect. See you then!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--790538.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much, just hanging out. You?\n[00:03 - 00:07] Speaker A: Just chilling, trying to enjoy the day. It's nice out, isn't it?\n[00:08 - 00:20] Speaker B: Yeah, it is. I love days like this. There's something about the weather that just makes me feel so relaxed and in a good mood, like all my worries just melt away when the sun is shining this brightly and there's a gentle breeze in the air.\n[00:13 - 00:20] Speaker A: Sorry to jump in, but do you think it's going to stay this nice all week? I'm trying to plan something for the weekend.\n[00:21 - 00:26] Speaker B: I hope so! But even if it doesn't, we should still try to get outside and enjoy it while we can.\n[00:26 - 00:29] Speaker A: Absolutely, we should do that sometime soon.\n[00:29 - 00:33] Speaker B: Yeah, that would be awesome. I'm always down for anything that gets me outside.\n[00:34 - 00:39] Speaker A: Me too. Well, I should probably get going. It was great talking to you!\n[00:39 - 00:41] Speaker B: Yeah, you too. See you around!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--900948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I can't believe I have to cancel my tickets to the concert. I was really looking forward to seeing my favorite band.\n[00:06 - 00:09] Speaker B: I'm sorry to hear that, Avery. What happened?\n[00:09 - 00:25] Speaker A: Well, my boss called me into his office this morning and told me that I needed to cancel my plans for the weekend and work instead. I was so upset that I almost walked out right then and there because I had been planning this concert for months and even bought special merchandise to wear for the occasion.\n[00:19 - 00:23] Speaker B: Wait, did you actually consider quitting? That sounds serious.\n[00:23 - 00:35] Speaker A: I did consider it for a moment, but I didn't go through with it. I just felt so frustrated. He said that someone else called in sick and they needed me to cover their shift. It's just not fair!\n[00:36 - 00:41] Speaker B: That sounds really tough. It's too bad you couldn't get a different shift at work or take the day off.\n[00:41 - 00:51] Speaker A: Yeah, I tried everything, but he said no. I guess I'll just have to miss the concert. Maybe I can go another time or just listen to their music online.\n[00:52 - 00:55] Speaker B: Yeah, maybe you're right. Thanks for trying to make me feel better, friend."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--698246.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, I've been thinking about us a lot lately.\n[00:03 - 00:04] Speaker B: Oh yeah? What about?\n[00:05 - 00:17] Speaker A: Just about where we're at and where we're going. I'm not sure if this is what I want to continue without being completely honest with you about my feelings and where I see this relationship going in the long term.\n[00:10 - 00:13] Speaker B: Wait, are you saying you're having doubts about our relationship?\n[00:14 - 00:25] Speaker A: I didn't say that. I just said that I'm not sure if this is what I want. I care about you a lot and I don't want to hurt you, but sometimes I feel like we're on different pages.\n[00:25 - 00:30] Speaker B: So what are you saying? You want to break up, or are you just asking for some space to figure things out?\n[00:30 - 00:39] Speaker A: No, I'm not saying I want to break up right now. It's just hard for me to commit to anything right now, including this relationship. I'm sorry.\n[00:40 - 00:46] Speaker B: It's okay. I understand. I think we need some time apart too. We can still be friends though, right?\n[00:46 - 00:50] Speaker A: Of course. I care about you no matter what happens between us."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--896752.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, boss. Do you have a minute?\n[00:02 - 00:02] Speaker B: What's up?\n[00:03 - 00:20] Speaker A: I wanted to talk to you about my job. I've been working here for two months and I really like it, but I'm starting to feel like I'm not being paid fairly for the amount of work I'm putting in compared to industry standards and the responsibilities I've taken on beyond my initial job description.\n[00:12 - 00:15] Speaker B: Not being paid enough? I get it. How much are you making now?\n[00:15 - 00:17] Speaker A: $8 an hour.\n[00:17 - 00:19] Speaker B: And how much do you think you should be making?\n[00:20 - 00:23] Speaker A: Well, I was thinking maybe $10 an hour.\n[00:23 - 00:39] Speaker B: I can see where you're coming from, but unfortunately we can't afford to give everyone a raise right now. We're just not making enough money  to cover all our expenses, especially with the recent downturn in sales and unexpected costs from equipment repairs that have put a strain on our budget.\n[00:39 - 00:47] Speaker A: I get that, but it's just that I really need the money. I'm saving up to buy a new car and $8 an hour isn't going to cut it.\n[00:48 - 00:49] Speaker B: How much do you need?\n[00:49 - 00:51] Speaker A: $2000.\n[00:51 - 00:52] Speaker B: That's a lot of money."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--33171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, I'm sorry about last night. I know I left without you and we were supposed to go to the movies together.\n[00:07 - 00:09] Speaker B: Yeah, you did. What happened?\n[00:09 - 00:19] Speaker A: I don't know, I just kind of panicked and didn't know how to handle the situation, so I left without thinking about how it would make you feel or the consequences of my actions.\n[00:12 - 00:14] Speaker B: Panicked? Why? Was something wrong?\n[00:14 - 00:21] Speaker A: It was just a really spur-of-the-moment thing. Plus, we were running late and I knew you really wanted to see the movie.\n[00:21 - 00:28] Speaker B: Neva, this isn't the first time you've done this. You've left me before without any explanation and it's really hurtful.\n[00:29 - 00:35] Speaker A: I know, and I'm sorry. It won't happen again, I will do my best to be more mindful of your feelings.\n[00:36 - 00:40] Speaker B: But how can I trust that? It feels like every time you say that, something else happens.\n[00:41 - 00:48] Speaker A: Sara, please. I'm sorry, okay? I'll make it up to you. Just give me another chance."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--61606.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey there, little one. Are you alright?\n[00:02 - 00:03] Speaker B: I'm hungry.\n[00:04 - 00:14] Speaker A: Oh, I'm so sorry. Here, let me give you something to eat, maybe a sandwich or some fruit? I also have some granola bars if you'd prefer something more filling and nutritious.\n[00:08 - 00:11] Speaker B: Do you have anything warm? It's been really cold lately.\n[00:12 - 00:17] Speaker A: Yes, I have some warm soup. Here you go. Do you live around here?\n[00:18 - 00:21] Speaker B: No, my family is homeless. We don't have a place to stay.\n[00:21 - 00:33] Speaker A: That's really tough. I wish I could do more to help you find a shelter or connect you with some  resources that could provide long-term assistance like food programs, job training, and temporary housing options.\n[00:34 - 00:37] Speaker B: It's okay, you've already done a lot by just being kind.\n[00:37 - 00:42] Speaker A: I wish there was more I could do. Maybe one day things will get better for you.\n[00:43 - 00:45] Speaker B: I hope so. Thank you for caring."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--538753.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hi, Amaiah.\n[00:01 - 00:02] Speaker B: Hey.\n[00:02 - 00:04] Speaker A: How are you doing today?\n[00:04 - 00:07] Speaker B: I'm fine. Maegan, can I ask you something?\n[00:07 - 00:08] Speaker A: Sure, what is it?\n[00:09 - 00:12] Speaker B: Why do you always have to be so polite? It's annoying.\n[00:12 - 00:25] Speaker A: I'm sorry if it's annoying. I just wanted to make sure I was being respectful and considerate in our conversations because I value our friendship and don't want to accidentally offend you with careless words.\n[00:15 - 00:21] Speaker B: Why do you feel the need to be so formal all the time? Is it something that bothers you if you're not?\n[00:21 - 00:28] Speaker A: Not really, I just wanted to try and be more polite. But even friends can sometimes misunderstand each other's intentions.\n[00:29 - 00:34] Speaker B: I get that, but sometimes it feels like there's a barrier between us when you're too formal.\n[00:34 - 00:39] Speaker A: I understand. I'll try to be more casual. So, how was your day today?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--456190.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey! I'm doing good, thanks for asking. I'm happy for you too! How did she take it?\n[00:05 - 00:22] Speaker B: She was really happy! We're both really excited to be engaged. It's still sinking in, but we're both really happy. Thanks for being supportive, it means a lot to us as we start planning this new chapter in our lives and begin to envision what our future together will look like with all its exciting possibilities.\n[00:15 - 00:20] Speaker A: Sorry to interrupt, but I just have to ask, have you guys thought about setting a date yet?\n[00:20 - 00:30] Speaker B: Not yet, we're still figuring it out. Right now we're just enjoying being engaged and figuring out what our next steps are going to be. But thank you again, your support means a lot to us.\n[00:30 - 00:44] Speaker A: Of course! I'm just glad you're both happy. This is a really big step for you guys and I'm sure you'll be great together. Let me know if there's anything I can do to help out with the wedding planning or anything else, okay?\n[00:44 - 00:48] Speaker B: Thanks, Amit. That means a lot to me. I'll let you know if we need any help."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1007416.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: I just saw that the stock market crashed and my 401k lost a lot of value. I feel sick to my stomach and sad that I have lost so much money.\n[00:10 - 00:31] Speaker B: I'm sorry to hear that, Aleksandra. The stock market can be very volatile, but it's important to remember that it doesn't always go down. Over the long term, the stock market has always gone up, so your portfolio should recover in a few years as the market stabilizes and grows, especially if you maintain a diversified investment strategy and avoid making panic-driven decisions during market downturns.\n[00:22 - 00:29] Speaker A: But how long will it take for my portfolio to recover? And what if it doesn't? I can't afford to lose any more money.\n[00:29 - 00:52] Speaker B: Well, it's impossible to predict the future of the stock market, but typically portfolios will rebound within a few years. As for what you can do in the meantime, you could consider investing in some bonds or other more stable investments. This way you won't be as affected by short-term fluctuations in the  stock market and can have a more balanced portfolio that provides both growth potential and stability during turbulent economic periods.\n[00:53 - 01:05] Speaker A: Speaking of bonds, do you think they are a good option right now given the current interest rates? And also, you mentioned something about the stock market recovering over the long term. Can you elaborate on that?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--875462.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how are you doing?\n[00:02 - 00:04] Speaker B: Hey. I'm okay, I guess.\n[00:04 - 00:06] Speaker A: Just okay? What's going on?\n[00:07 - 00:21] Speaker B: It's just been a tough few weeks. My mom died and then my boyfriend broke up with me. I feel like I'm drowning in all this pain and I don't know how to get out of it, especially when I wake up every morning and the weight of everything just crashes down on me all over again.\n[00:12 - 00:20] Speaker A: Oh my God, I'm so sorry. That's a lot to handle all at once. Have you been able to talk to anyone about how you're feeling?\n[00:21 - 00:26] Speaker B: Thanks. It's just been really hard to deal with everything. I don't know how to make myself feel better.\n[00:26 - 00:52] Speaker A: Well, first of all, it's okay to feel sad and upset. You don't have to pretend like everything is fine when it's not. Just give yourself some time to grieve and heal. Secondly, try to focus on the positive things in your life right now. Think about the people who care about you and who are\n[00:53 - 00:57] Speaker B: Speaking of people who care, I really appreciate you being here for me. It means a lot.\n[00:57 - 01:06] Speaker A: Absolutely. It's important to remember that you're not alone in this and that there are people who care about you and want to help you through this tough time."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1007617.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey. How are you doing today?\n[00:02 - 00:05] Speaker B: I'm doing all right, thanks for asking. How about you?\n[00:06 - 00:17] Speaker A: I'm hanging in there. It's been a tough week, but I'm trying to stay positive and push through by focusing on small victories and reminding myself that this challenging period won't last forever.\n[00:09 - 00:14] Speaker B: Is it work-related? You don't have to go into detail if you don't want to, but I'm here if you need to talk.\n[00:15 - 00:18] Speaker A: Yeah, it's work stuff. You know how it is.\n[00:19 - 00:27] Speaker B: Yeah, I know how it is. Work can be really stressful sometimes. But you seem like you're handling it well. You're strong, Jakeem.\n[00:27 - 00:35] Speaker A: Thanks. I appreciate that. I try to be strong, but sometimes it just feels overwhelming, and it's hard to keep everything together.\n[00:36 - 00:40] Speaker B: Sorry, but have you taken any time for yourself? Even just a little break might help.\n[00:41 - 00:47] Speaker A: I haven't really had the chance, but you're right. I should probably make that a priority."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--221517.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: Hi Karis, I'm so excited to have you over for dinner tonight. I've been planning the menu and setting the table all day. I hope you're ready for a cozy evening with some delicious food and great conversation about your recent travels through Europe that you mentioned last time we met.\n[00:08 - 00:15] Speaker B: Oh, I just remembered—I have a slight allergy to shellfish. I know you usually avoid it, but I wanted to mention it just in case.\n[00:15 - 00:43] Speaker A: No worries, there's no shellfish on the menu tonight. Well, let's get started then! For our first course, we'll be having a spinach and feta salad. The feta is from a local farm and the spinach is from my garden. For our main course, I've made chicken Parmesan with homemade tomato sauce and fresh mozzarella cheese. And for dessert, we'll be having tiramisu that I made from scratch this afternoon. I wanted it to be just right for tonight.\n[00:43 - 00:50] Speaker B: Tiramisu? That's my favorite dessert! I'm so excited to try it. You really know how to make a meal special.\n[00:50 - 01:06] Speaker A: I'm glad you're excited! I was about to say I made it this"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1070688.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Mom. Thanks for coming to my graduation ceremony.\n[00:04 - 00:14] Speaker B: Of course, Aranza! I wouldn't miss it for the world. You've worked so hard to get to this point, and it's such a big achievement that deserves to be celebrated with all your loved ones who supported you along this journey.\n[00:07 - 00:16] Speaker A: Speaking of hard work, I was thinking about how much effort it took to get through those final exams. I couldn't have done it without your support.\n[00:16 - 00:23] Speaker B: That's sweet of you to say. Time really does fly. Pretty soon you'll be off to college and then out in the real world on your own.\n[00:23 - 00:31] Speaker A: That's true. But I'm not sure I'm ready for that big step just yet. There's so much to figure out.\n[00:31 - 00:39] Speaker B: Oh, honey, I get it. The transition can be overwhelming, but remember, you're not alone in this. You have your family and friends to lean on.\n[00:40 - 00:45] Speaker A: You're right, Mom. It's just a lot to take in. But hearing you say that makes me feel better.\n[00:46 - 00:53] Speaker B: Don't worry, you'll be fine. You're a smart and talented young man with a bright future ahead of you. I'm very proud of you, Aranza.\n[00:53 - 00:55] Speaker A: Thanks, Mom. That means a lot to me.\n[00:56 - 00:57] Speaker B: I love you, son."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--241883.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:04] Speaker B: Not much. Just getting ready for the day. What about you?\n[00:04 - 00:13] Speaker A: I'm just hanging out, trying to stay relaxed before things get too hectic with all the upcoming exams and graduation preparations that are looming on the horizon.\n[00:06 - 00:11] Speaker B: Oh, by the way, did you ever figure out what you want to do after graduation?\n[00:11 - 00:15] Speaker A: I've been thinking about it a lot. I'm not really sure yet.\n[00:15 - 00:20] Speaker B: That's understandable. There are a lot of options out there. What are some of the things you're considering?\n[00:21 - 00:31] Speaker A: I've been looking at some colleges, but I'm not sure if I want to go that route. I've also been thinking about joining the military or maybe getting a job in law enforcement.\n[00:31 - 00:35] Speaker B: Those are all great options. Have you talked to anyone about what you're thinking?\n[00:35 - 00:45] Speaker A: Yeah, I've talked to my parents and my friends a lot about it. They're all supportive of whatever I decide to pursue, even if it's something unconventional.\n[00:45 - 00:50] Speaker B: Sorry to interrupt, but did your parents have any strong opinions on the military option?\n[00:51 - 01:02] Speaker A: They were a bit concerned at first, but they said they would support me no matter what. I was going to mention that my friends were more focused on the college route, but I guess that's not as important right now.\n[01:02 - 01:10] Speaker B: It's good that your parents are supportive. And yeah, friends can sometimes have different perspectives. Just take your time and don't rush into anything.\n[01:10 - 01:14] Speaker A: Yeah, that's what I'm planning on doing. Thanks for the advice."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1087723.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:19] Speaker A: I can't believe she's gone. It feels like only yesterday we were together, laughing and joking and enjoying each other's company. I loved her so much, and now she's gone. I feel so alone without her smile and her presence in my life, the way she always knew exactly what to say to make everything better even in the toughest times.\n[00:12 - 00:23] Speaker B: I know how you feel, Dre. I miss her too. She was such a special person to me, and I'll never forget all the happy times we shared together. It's hard to imagine life without her laughter and the way she brightened up every room.\n[00:24 - 00:38] Speaker A: Sorry, I just can't help but think about all the things we used to do together and it just makes me so sad. I don't know how I'm going to go on without  her constant support and encouragement that always gave me strength when I needed it most.\n[00:39 - 00:45] Speaker B: We'll get through this together, Dre. We have each other and we'll always have our memories of her. That's what we have to hold onto."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--631363.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi Ziya! I'm so glad I found you!\n[00:02 - 00:06] Speaker B: Joya! I'm so happy to see you too! How have you been?\n[00:06 - 00:09] Speaker A: I've been good. I missed you though.\n[00:09 - 00:12] Speaker B: I missed you too. What have you been up to?\n[00:12 - 00:26] Speaker A: Just hanging out with my friends and family. I went for a few walks, but it's not the same without you. We always have such great conversations on our walks and discover new things about each other even after all these years.\n[00:18 - 00:22] Speaker B: Sorry to interrupt, but did you visit any new places on your walks?\n[00:23 - 00:36] Speaker A: No, just the usual spots. But I haven't mentioned that I really wanted to share some of those moments with you  because those places hold special memories for us and I keep imagining what it would be like if you were here right now.\n[00:36 - 00:40] Speaker B: I totally get that. It's always more fun when you're with someone special."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--906513.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Sarah, can you come over here for a minute? I want to ask you something.\n[00:05 - 00:06] Speaker B: Sure. What's up?\n[00:06 - 00:25] Speaker A: I'm doing some research on the effects of the unknown, and I was wondering if you could help me with some ideas on how to approach this topic from a psychological perspective, particularly focusing on cognitive biases and emotional responses that might influence people's reactions to unfamiliar situations.\n[00:12 - 00:17] Speaker B: Oh, absolutely! Is this for a specific project you're working on, or just general research?\n[00:17 - 00:26] Speaker A: It's for a project I'm working on. I want to know if people are more scared or more curious when they can't see or don't understand something.\n[00:26 - 00:30] Speaker B: That's a tough question. I'm not sure how people would react in that situation.\n[00:31 - 00:37] Speaker A: Well, let's say you're in a dark room and you can't see anything. Would you be more scared or more curious?\n[00:37 - 00:41] Speaker B: I think I would be more scared. I don't like not knowing what's around me.\n[00:41 - 00:48] Speaker A: Okay, what about if you were in a room full of strange noises? Would you be more scared or more curious?\n[00:48 - 00:55] Speaker B: Again, I think I would be more scared. I wouldn't want to investigate what was making the noise because it might be something dangerous.\n[00:55 - 00:58] Speaker A: Alright, well thank you for your help, Sarah."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--860576.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey boss, what's up?\n[00:02 - 00:05] Speaker B: Not much, just getting some work done. What about you?\n[00:05 - 00:21] Speaker A: I'm just finishing up a project for a client. It was a bit of a rush job, but I think they're going to be satisfied with the final outcome despite the tight deadline because we incorporated all their last-minute changes while maintaining the project's core vision.\n[00:12 - 00:17] Speaker B: Oh, speaking of rush jobs, did you manage to get everything approved by the client before starting?\n[00:17 - 00:30] Speaker A: Yes, I made sure to get their approval before diving in. I just had to work a few extra hours each day and made sure to stay on schedule. It wasn't easy, but I managed to handle it without compromising the quality.\n[00:31 - 00:35] Speaker B: I hope you didn't burn yourself out. It's important to pace yourself too, you know?\n[00:35 - 00:41] Speaker A: I appreciate the concern. I managed to balance it out, and I'm glad I could help out.\n[00:41 - 00:46] Speaker B: You're always so dedicated to your work. I'm sure your client appreciated the extra effort.\n[00:46 - 00:50] Speaker A: Thanks, boss. I just try to do my best for the company and our clients.\n[00:51 - 00:53] Speaker B: That's what we need around here! Keep up the good work."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--717045.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Wow, Harmonee, this is beautiful!\n[00:03 - 00:15] Speaker B: I'm glad you like it. I saw it and thought of you because it has that elegant yet simple design that you always seem to go for, with just the right balance of sophistication and playfulness that reflects your personality so well.\n[00:06 - 00:08] Speaker A: It's so pretty. I love the heart charm.\n[00:08 - 00:14] Speaker B: Yeah, I thought it was really cute. And it's nice that it's adjustable, so you can wear it at different lengths.\n[00:14 - 00:30] Speaker A: Yes, that's true. By the way, when you said you thought of me immediately, was there a specific reason?  Like, did it remind you of something we've done together or a place we've been, perhaps that weekend trip to the coast where we found those beautiful seashells?\n[00:31 - 00:37] Speaker B: I just felt that it matched your style perfectly. I'm definitely going to wear this a lot. Thank you so much for thinking of me!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1182226.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Darn it! I can't believe I missed.\n[00:02 - 00:11] Speaker B: You're never going to catch me, Rorie. I'm too quick for you to keep up with my moves, especially when I'm weaving through obstacles and changing directions unpredictably like this.\n[00:05 - 00:12] Speaker A: Wait, what if I try a different strategy? Maybe I can outsmart you instead of just relying on speed.\n[00:13 - 00:16] Speaker B: Oh, but I'll keep trying. I'll never give up until I catch you.\n[00:16 - 00:19] Speaker A: Ha! Good luck with trying to outmaneuver me.\n[00:20 - 00:25] Speaker B: Actually, I think I might have a better chance if I focus on anticipating your moves. What do you think?\n[00:25 - 00:33] Speaker A: I don't need luck. I'm determined to catch  you no matter how many times it takes or how long we have to keep playing this game.\n[00:33 - 00:35] Speaker B: We'll see about that."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--559369.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Wow, these tombstones are really old.\n[00:03 - 00:05] Speaker B: Yeah, they're from the 1800s.\n[00:05 - 00:18] Speaker A: Wow, I wonder what life was like back then, without all the conveniences we take for granted today, like electricity, running water, or even basic medical care that we can access so easily now.\n[00:08 - 00:13] Speaker B: You know, I was just thinking—how did they even manage without all the technology we rely on today?\n[00:14 - 00:23] Speaker A: Well, it was a lot different than it is now. For one thing, there wasn't as much technology back then. People had to do things by hand instead of using machines.\n[00:24 - 00:25] Speaker B: That must have been really hard!\n[00:26 - 00:51] Speaker A: Yeah, it was definitely more difficult in some ways. But in other ways, it was simpler too. People didn't have all the distractions that we have now with technology and social media and everything else. They probably had more time to enjoy life and\n[00:51 - 00:58] Speaker B: Speaking of enjoying life, do you think they had more meaningful relationships without all the digital communication we have today?\n[00:58 - 01:15] Speaker A: They might have. Without the constant buzz of notifications, they probably focused more on face-to-face interactions and community. But I was also going to say they likely appreciated nature more as well, spending time outdoors in ways we might not prioritize today."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--580598.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, thanks for coming out to the writers' group tonight. It's great to have you here.\n[00:05 - 00:19] Speaker B: No problem, Ekaterina. I'm always happy to help out with anything that has to do with writing. So, what did you want to discuss tonight? I know you've always got something interesting up your sleeve, whether it's a new plot twist or some innovative character development techniques.\n[00:11 - 00:23] Speaker A: Sorry to jump in, I just want to make sure I explain the situation clearly. I've been working on a new piece and I've been stuck for a while. I was hoping to get some feedback from you guys.\n[00:24 - 00:26] Speaker B: Sure, no problem. Let's take a look.\n[00:26 - 00:31] Speaker A: Okay, well, it's a short story about a guy who discovers he has superpowers.\n[00:32 - 00:42] Speaker B: Sounds interesting. What kind of superpowers does he  have? Is it something unique or more like the classic superhero abilities that we've seen in popular comics and movies throughout the decades?\n[00:42 - 00:47] Speaker A: He can fly, he's really strong, and he can also shoot fire from his eyes.\n[00:47 - 00:51] Speaker B: Wow, that sounds really cool. How does he discover his powers?\n[00:52 - 01:01] Speaker A: Well, one day he just suddenly realizes that he can fly and that he's really strong. Then, when he tries to shoot fire from his eyes, it actually works!\n[01:02 - 01:05] Speaker B: That sounds like a really great story. I can't wait to read it when you finish it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--961025.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Mom. I got an 'A' on my project.\n[00:03 - 00:05] Speaker B: That's great, Jaivon! I'm so proud of you.\n[00:05 - 00:16] Speaker A: Thanks, Mom. It felt good to get that recognition after all the effort I put in, especially since I stayed up late several nights perfecting the details and making sure everything was just right.\n[00:08 - 00:12] Speaker B: Sorry to interrupt, but I have to ask, did you get any feedback from your teacher on what you did well?\n[00:13 - 00:22] Speaker A: Yeah, she said my research was thorough and my presentation was clear. I was worried I wasn't going to make it at first, but I'm glad I did.\n[00:23 - 00:28] Speaker B: I'm glad you pushed through. You worked so hard on it. I knew you could achieve something like this if you stayed focused.\n[00:28 - 00:34] Speaker A: Do you think I should keep this project for my portfolio? It might help me in the future.\n[00:34 - 00:42] Speaker B: Absolutely, it's a great example of your hard work. You're a smart kid, Jaivon. I'm sure you'll do great in whatever you set your mind to."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--605295.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: A baby is such a blessing.\n[00:02 - 00:04] Speaker B: I know. I feel the same way.\n[00:05 - 00:15] Speaker A: It's amazing how much love you can feel for someone so tiny and new to the world, especially when you realize they completely depend on you for their every need and comfort.\n[00:08 - 00:12] Speaker B: Sorry to interrupt, but do you think we're ready for all the responsibilities that come with it?\n[00:13 - 00:25] Speaker A: Yeah, it's really incredible. I just feel so grateful that we have this little life to take care of and  watch grow every day, learning new things and developing their own unique personality right before our eyes.\n[00:26 - 00:31] Speaker B: And love, of course. I just wanted to say that I'm really committed to sharing all the responsibilities equally.\n[00:31 - 00:33] Speaker A: Me too, babe."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--404560.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hi, financial advisor. I'm planning to retire in five years and I was wondering what you thought about my plans.\n[00:07 - 00:11] Speaker B: That's a great idea! Have you saved up enough money to cover your living expenses?\n[00:11 - 00:30] Speaker A: Yes, I have. I'm looking forward to spending more time with my family and friends. And I'm also considering starting a small business after I retire to keep myself busy and pursue some of my passions, potentially turning my hobbies into a source of income while maintaining a flexible schedule.\n[00:20 - 00:26] Speaker B: Sorry to interrupt, but have you considered the potential risks involved in starting a business after retirement?\n[00:27 - 00:46] Speaker A: That's a good point. I understand there are risks, but I believe it will keep me active and engaged. I'm not sure yet what kind of business I want to start. But I'm thinking something that would help other people retired like me stay active and connected with their communities through various social activities and skill-sharing opportunities.\n[00:47 - 00:54] Speaker B: Oh, I love that idea! Have you thought about partnering with local community centers or organizations to get your business off the ground?\n[00:54 - 01:05] Speaker A: That's an interesting thought. I hadn't considered that yet. There are many programs available to help people start their own businesses. I can give you some information about them if you'd like.\n[01:06 - 01:07] Speaker B: That would be great, thank you!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--906269.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm just really not in the mood for company right now.\n[00:03 - 00:14] Speaker B: I completely understand. It sounds like you just need some time to be alone and process everything that's been weighing on your mind lately, especially with all the stress you've been under at work and with your family situation.\n[00:07 - 00:14] Speaker A: Actually, it's not just about needing time. It's been a really tough week, and I just need to clear my head.\n[00:14 - 00:18] Speaker B: Do you want to talk about it? I'm here if you need to vent or anything.\n[00:19 - 00:25] Speaker A: No, I don't think that would help. I just need some time to think things through. Thanks for understanding though.\n[00:26 - 00:31] Speaker B: Of course, Danica. We all have our off days. Just let me know if you need anything, okay?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--322068.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: Hi, I'm calling about the job opening. I saw the posting online and I'm very interested in applying for the position and learning more about the company's culture, values, and the specific challenges this role would be addressing in the current market landscape.\n[00:07 - 00:12] Speaker B: Sorry to jump in, but could you clarify which position you're referring to? We have several openings right now.\n[00:13 - 00:16] Speaker A: Oh, sure! I'm interested in the Marketing Manager position.\n[00:17 - 00:22] Speaker B: Great! We're looking for someone with your skills and experience. Tell me a little bit about yourself.\n[00:22 - 00:43] Speaker A: Well, I have a degree in marketing and I've been working in the field for about 5 years now. I've had a lot of success with the campaigns I've worked on and I think my skills would be a great fit for contributing to your company's growth and driving successful marketing strategies that align with your brand vision while adapting to emerging digital marketing trends.\n[00:43 - 00:49] Speaker B: That sounds impressive! Just to make sure, have you had experience managing a team, as this role will require leadership skills?\n[00:50 - 00:56] Speaker A: Yes, I've led a small team of 5 in my current role, and we've consistently met our targets.\n[00:56 - 01:02] Speaker B: Wow, it sounds like you would be perfect for this position! Are you available to come in for an interview tomorrow?\n[01:02 - 01:05] Speaker A: Absolutely! I'll be there at 10am.\n[01:05 - 01:07] Speaker B: Great, we'll see you then!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--366333.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi Lilyan! How are you today?\n[00:03 - 00:15] Speaker B: Hey Nehemiah! I'm doing alright, thanks for asking. I've just been really busy lately and I'm starting to feel a little stressed out with everything piling up, especially with final exams approaching and multiple project deadlines coming up next week.\n[00:09 - 00:16] Speaker A: Overwhelmed? I totally get that. Things have been pretty hectic for you lately. Do you want to talk about it?\n[00:16 - 00:38] Speaker B: Yeah, I guess so. It's just that everything seems to be happening all at once and I don't know how to keep up with it all. My classes are demanding, my extracurriculars are taking up more of my time than ever, and on top of all that I'm trying to maintain a social life. It's all just a lot  to handle, and I'm not sure where to start prioritizing when every responsibility feels equally urgent and important right now.\n[00:38 - 00:44] Speaker A: Have you tried cutting back on any activities? Maybe focusing on just the essentials for now could help?\n[00:45 - 00:49] Speaker B: I've thought about it, but it's hard to decide what to let go of. Everything feels important, you know?\n[00:50 - 00:55] Speaker A: Yeah, it sounds like it. Have you talked to anyone else about how you're feeling?\n[00:55 - 01:12] Speaker B: I've talked to my friends about it some, but they're all going through similar things so it's not like they can really relate or offer any helpful advice. And my parents are just telling me that I need to manage my time better and that I'll get used to the workload eventually. But it's not like that's easy to do when you're already feeling overwhelmed!\n[01:12 - 01:22] Speaker A: Absolutely not. It sounds like you could really use someone to talk to who understands what you're going through. Do you want me to see if we can find someone for you to talk to?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--606362.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Sarah, have you ever been on a train before?\n[00:03 - 00:18] Speaker B: Yeah, I have. I went on a train ride with my family when I was little. It was really exciting because it was my first time experiencing something like that and I remember being completely mesmerized by the rhythmic sound of the tracks and the changing scenery outside the window.\n[00:08 - 00:16] Speaker A: Sorry to interrupt, but do you remember where you went? I'm curious if it was a long journey or just a short ride.\n[00:16 - 00:21] Speaker B: It was a short ride, just a day trip to a nearby town. But it was really fun.\n[00:21 - 00:29] Speaker A: It looks like it would be fun to travel by train. Do you think it would be interesting to see different places from the window of a moving train?\n[00:29 - 00:38] Speaker B: Yeah, I think it would be really cool to see different landscapes whizzing by as you travel. Plus, it would be more comfortable than flying or sitting in a cramped car for hours.\n[00:39 - 00:48] Speaker A: Driving for long distances, right? I totally agree. The idea of sitting back and watching the scenery without having to focus on the road sounds amazing.\n[00:48 - 00:56] Speaker B: Exactly, and you can move around more freely on a train too. I would love to travel by train one day. Maybe we can take a trip together sometime.\n[00:57 - 00:58] Speaker A: That sounds like fun!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--258272.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: Why are you lying to me about where you've been? I can tell from the way you're avoiding my gaze and the way your voice is shaking that you're not telling me the truth. Where were you last night when I called you three times and you didn't answer any of them? I need to know the truth because this is really important to me.\n[00:10 - 00:13] Speaker B: Tayla, I was just out for a walk. I needed some time to think.\n[00:14 - 00:26] Speaker A: You were out for a walk? That's it? I don't believe you. There's something you're not telling me. What is  really going on that's making you act so strangely and avoid telling me the complete truth about your whereabouts?\n[00:27 - 00:33] Speaker B: What is it that you think I'm hiding? Tayla, I swear, I was just out for a walk. That's all. Please believe me.\n[00:34 - 00:46] Speaker A: Ivie, if you're lying to me about this, then what else are you lying to me about? I thought we could trust each other with everything. But now I'm not so sure. I don't want to doubt you, but this doesn't add up.\n[00:46 - 00:57] Speaker B: Tayla, of course we can trust each other! I would never lie to you about anything else, I promise. Please, just believe me about this one thing. I would never want to hurt you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--41171.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Babe, I just bought this movie and it's really unique because it blends horror with satire in a way that's both terrifying and thought-provoking at the same time.\n[00:03 - 00:04] Speaker B: Oh, what's it called?\n[00:05 - 00:07] Speaker A: It's called *The Cabin in the Woods*.\n[00:08 - 00:09] Speaker B: What's it about?\n[00:09 - 00:26] Speaker A: It's about a group of friends who go to a cabin in the woods and end up being terrorized by monsters. But it's also a commentary on the horror genre  and how these movies often follow predictable patterns while simultaneously deconstructing them in a meta and self-aware manner.\n[00:26 - 00:31] Speaker B: Wait, a commentary? Do you mean it has some kind of twist or deeper message?\n[00:31 - 00:39] Speaker A: Exactly! It plays with the typical horror tropes in a really clever way. You might have to watch it yourself to fully appreciate it.\n[00:40 - 00:42] Speaker B: Sounds interesting. I might just do that."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--490986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Anasofia. I wanted to talk to you about something.\n[00:04 - 00:05] Speaker B: Hey, what's up?\n[00:05 - 00:23] Speaker A: I feel like we've been drifting apart lately and I'm not really sure where things stand between us. I just want to know if you're still interested in me or if you're thinking that maybe we should take a step back and reevaluate our relationship because I don't want to keep feeling this distance between us.\n[00:15 - 00:21] Speaker B: Wait, are you saying that because of how busy I've been with work? I didn't realize it was affecting us this much.\n[00:22 - 00:27] Speaker A: Well, it felt like you were ignoring me. And it hurt because I thought we were closer than that.\n[00:27 - 00:40] Speaker B: Jamin, I'm sorry. I really am. Please believe me when I say that I still care about you a lot and our relationship is\n[00:42 - 00:48] Speaker A: I believe you, but I need to feel it too. I need to know we're both making time for each other.\n[00:48 - 00:52] Speaker B: You're right. I'll make more of an effort. Thank you for being honest with me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--934119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: I'm really sorry about what I did. I know it was wrong and I wish I could take it back, but I can't. All I can do now is try to make things right by being completely transparent with you and demonstrating through my actions that I've truly learned from this mistake.\n[00:04 - 00:09] Speaker B: It's not like you did it on purpose, but it still hurt me. And now I don't trust you anymore.\n[00:09 - 00:18] Speaker A: I understand how you feel. And I'm sorry. I'll try to make it up to you by showing you that I can be more reliable and considerate in the future.\n[00:18 - 00:23] Speaker B: Before you say anything else, I just need to know—what exactly are you planning to do to make up for it?\n[00:24 - 00:28] Speaker A: I'll do whatever it takes to earn your trust back. Just please give me a chance.\n[00:29 - 00:33] Speaker B: Alright, we'll see. But I'm still not happy about what happened."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--331396.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey Sade, how's it going?\n[00:01 - 00:04] Speaker B: Hey Marcia. It's going good. How are you?\n[00:04 - 00:19] Speaker A: I'm doing well. Thanks for asking. So, what do you think of the job so far? It seems like you're really settling in and getting comfortable with the team dynamics and workflow processes, which is great to see since you're such a valuable addition to our department.\n[00:13 - 00:24] Speaker B: I like it. It's challenging and I'm learning new things all the time. Plus, it's great to work with you. You're always so positive and upbeat, which makes the work go by much smoother and enjoyable.\n[00:24 - 00:31] Speaker A: Sorry to cut in, but I just remembered something. Have you had a chance to look at the new project guidelines sent out yesterday?\n[00:32 - 00:40] Speaker B: Oh, I haven't checked them yet. I'll make sure to review them later today. But as I was saying, your attitude really helps in making the work go by quicker.\n[00:40 - 00:49] Speaker A: Yeah, I enjoy working with you too. You're a hard worker and always have a good attitude. I think we make a great team.\n[00:49 - 00:54] Speaker B: Absolutely! We always seem to be able to get the job done quickly and efficiently when we're working together.\n[00:55 - 01:02] Speaker A: Yeah, I definitely think so too. I think we have a good dynamic and are able to complement each other's strengths.\n[01:03 - 01:10] Speaker B: I agree. I think we make a great team and I'm really glad to be working with you. By the way, what were those new project guidelines about?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1107765.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: That was an intense game! I'm so glad our team won.\n[00:04 - 00:16] Speaker B: Yeah, it was a close one. They were down by a lot in the first half, but they came back strong in the second half and showed incredible determination by executing flawless plays and maintaining their composure under pressure.\n[00:09 - 00:15] Speaker A: Speaking of the comeback, did you notice how the coach changed the strategy halfway through? That was a game-changer!\n[00:16 - 00:27] Speaker B: Absolutely, the coach's decision to switch to a more aggressive defense really turned things around. I was getting really anxious watching them fall behind, but they turned it around and ended up winning by 10 points.\n[00:28 - 00:30] Speaker A: It was definitely a thrilling game to watch.\n[00:31 - 00:37] Speaker B: I don't know about you, but I feel a lot more relaxed now that our team has secured the win and maintained their position in the standings.\n[00:37 - 00:45] Speaker A: Oh, definitely! Especially after that nerve-wracking first half. It's always stressful watching them play, but it's worth it when they win."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--596356.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:21] Speaker A: I went to the store and bought a case of 24 bottled waters, some non-perishable food items like granola bars and peanut butter, and a first aid kit with bandages, antibiotic ointment, and pain relievers, just in case anyone gets hurt. I also picked up some flashlights and extra batteries since we'll need those if the power goes out during the storm.\n[00:12 - 00:16] Speaker B: Wow, you really thought ahead! Why do you have all of this?\n[00:16 - 00:33] Speaker A: I was watching the news earlier and saw that there is a hurricane coming our way. I want to be prepared in case we lose power or  need to stay indoors for a few days without access to stores or emergency services, which often happens during severe weather events like this.\n[00:33 - 00:38] Speaker B: Oh, I didn't realize it was that serious. Do you think we need to do anything else to prepare?\n[00:38 - 00:49] Speaker A: Well, I've been through a hurricane before so I know how important it is to be prepared. Plus, I have a generator, so we should be all set if the power goes out."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1131334.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's your name?\n[00:02 - 00:04] Speaker B: My name is Steve. Nice to meet you.\n[00:04 - 00:08] Speaker A: Likewise. I'm Dawayne. What brings you here today?\n[00:08 - 00:12] Speaker B: I'm just passing through. Saw your sign and thought I'd pop in to see what it's all about.\n[00:13 - 00:18] Speaker A: Sorry to jump in, but which sign caught your eye? We have a few different ones outside.\n[00:18 - 00:22] Speaker B: The one about the community events. It seemed interesting.\n[00:22 - 00:25] Speaker A: We're glad you did. What do you think of the place?\n[00:25 - 00:29] Speaker B: It's interesting. A bit different than what I'm used to, but it's nice.\n[00:29 - 00:46] Speaker A: Yeah, we get a lot of that. People come in and they're not quite sure what to make of it, but then they leave and they're really happy that they took the time to explore and engage with our activities because they often discover new interests and make meaningful connections with others in the community.\n[00:38 - 00:41] Speaker B: Actually, I was wondering, what kind of events do you usually host here?\n[00:42 - 00:51] Speaker A: Oh, we have a variety of events, from art exhibitions to community workshops. I was saying they're really happy that they came. So, what do you do?\n[00:52 - 00:53] Speaker B: I'm a doctor."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--191104.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey coach, can I talk to you for a second?\n[00:03 - 00:04] Speaker B: What's up Ceasar?\n[00:04 - 00:19] Speaker A: I'm just feeling really down right now. I feel like I've failed my team and let everyone down with my performance in the last game, especially since I know how much effort we've all put into preparing for this season and how much this tournament means to everyone.\n[00:10 - 00:18] Speaker B: Ceasar, I understand you're feeling this way, but remember, everyone has off days. What happened specifically that's making you feel like this?\n[00:18 - 00:27] Speaker A: Well, I made a mistake during the last game that cost us a point, and I can't stop replaying it in my head. I feel like I've let everyone down.\n[00:27 - 00:39] Speaker B: Ceasar, it sounds like you're being pretty hard on yourself. Everyone makes mistakes sometimes, even the best players in the world. The important thing is that you learn from them and don't let them get you stuck in a negative mindset.\n[00:39 - 00:45] Speaker A: I know, coach, but it's just tough to shake off. I keep thinking about how it affected the team.\n[00:45 - 00:52] Speaker B: You're still a valuable member of this team and we need you out there on the field. The team counts on your resilience as much as your skill.\n[00:53 - 00:56] Speaker A: Thanks coach. Just hearing that makes me feel a little better.\n[00:57 - 01:00] Speaker B: No problem, now go out there and show everyone what you're made of!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1088159.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm sorry, but I'm going to have to ask you to leave.\n[00:04 - 00:05] Speaker B: What? Why?\n[00:05 - 00:16] Speaker A: I just don't feel comfortable having you around right now, and I need some time to think things over because this situation has been weighing heavily on my mind for quite some time.\n[00:08 - 00:12] Speaker B: Wait, is it something I did? I mean, if I crossed a line, I'd like to know.\n[00:13 - 00:18] Speaker A: No, it's not something specific you did, but I just need some space right now.\n[00:18 - 00:25] Speaker B: But I thought we were  close enough to talk about anything, and I didn't expect this sudden change in our relationship dynamic after all we've been through together.\n[00:26 - 00:30] Speaker A: We are friends, but everyone needs boundaries, and this is one of mine.\n[00:31 - 00:34] Speaker B: Fine. I'll go. But I'm not happy about it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--935998.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: It's so great to see you again! It feels like it's been forever since high school.\n[00:05 - 00:15] Speaker B: I know, right? It's been a few years, but it feels like it was just yesterday. So, what have you been up to lately with your career and personal life? I'd love to hear all about your journey since we last met.\n[00:10 - 00:17] Speaker A: Sorry to jump in, but I just realized—I never asked where you're living these days. Are you still in the same city?\n[00:17 - 00:28] Speaker B: Actually, I moved to a new city for work after college. I finished college a few years ago and I'm now working as an accountant. I really enjoy it. And you? What have you been up to since high school?\n[00:28 - 00:46] Speaker A: I also finished college a few years ago and I'm now working as an engineer. I love my job too. But I've also been traveling a lot lately. I went on a trip to Europe last year and it was an incredible experience that completely changed my perspective on different cultures and ways of life.\n[00:46 - 00:49] Speaker B: Europe? That's amazing! Which countries did you visit?\n[00:50 - 01:05] Speaker A: I visited France, Italy, and Spain. Each place was so unique, and I wish I could have stayed longer. But there's always so much work to do. Maybe one day... So, how is everyone from our old class? Do you keep in touch with anyone?\n[01:06 - 01:14] Speaker B: Yeah, I stay in touch with a few people here and there. But it's mostly through social media these days. It would be great to actually see some of them in person again though.\n[01:14 - 01:23] Speaker A: Yeah, I know what you mean. It would be great to catch up with everyone in person again. Maybe we can organize a reunion or something?\n[01:23 - 01:28] Speaker B: That sounds like a great idea! I'm sure everyone would love to see each other again. We'll have to make it happen!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--201044.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: It's so beautiful up here.\n[00:01 - 00:13] Speaker B: It really is. I can't believe we get to spend eternity in such a wonderful place with breathtaking views, perfect weather, and endless joy that fills our hearts every single moment. It's like a dream come true.\n[00:06 - 00:13] Speaker A: I was just thinking the same thing! But do you ever wonder if we'll ever get tired of it? I mean, eternity is a long time.\n[00:14 - 00:21] Speaker B: Yeah, I know. Sometimes I still can't believe it myself. But I'm so grateful for everything that God has given us.\n[00:21 - 00:32] Speaker A: Amen to that. You know, I sometimes wonder what life was like before we arrived here. It's almost like a distant memory, something I can't fully grasp anymore.\n[00:32 - 00:39] Speaker B: Oh, before we came here? I've thought about that too. It must have been so different, maybe even chaotic compared to this peace.\n[00:39 - 00:46] Speaker A: Yeah, it's hard to imagine. But I'm sure that whatever life was like before, it couldn't have been as good as this.\n[00:46 - 00:51] Speaker B: Absolutely not. This is the best place imaginable, and we're so lucky to be here."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1020192.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I'm really enjoying this book. It's so well-written.\n[00:03 - 00:21] Speaker B: I'm glad you're enjoying it. I tried to make it as accessible as possible while still maintaining a high level of literary depth and complexity to engage readers on multiple levels, particularly focusing on how different readers might interpret the same passage in completely unique ways based on their personal experiences.\n[00:10 - 00:21] Speaker A: Sorry to jump in, but when you say \"accessible,\" did you have a specific audience in mind? Like, were you trying to reach people who might not usually read this kind of material?\n[00:22 - 00:31] Speaker B: Yes, exactly. I wanted to reach a broader audience, not just those who are well-versed in literary theory. But I also aimed to keep the writing strong and the logic sound.\n[00:31 - 00:42] Speaker A: It shows. This book has definitely made me think about things in a new light. I'm seeing the world in a different way now, and I have a greater understanding of the human condition because of it.\n[00:43 - 00:52] Speaker B: That's exactly what I hoped for when writing this book. To get people to think about things differently and to challenge their assumptions about life and the way we interact with each other on a deeper level.\n[00:53 - 01:00] Speaker A: Life and society, right? I think you nailed it. The way you weave those themes together really resonates."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--680740.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: I can't believe you're in so much trouble! What are you going to do?\n[00:04 - 00:07] Speaker B: I don't know. I guess I'll have to find a way out of it.\n[00:07 - 00:09] Speaker A: But how? You're totally stuck!\n[00:10 - 00:21] Speaker B: Well, I could try reasoning with them. Or maybe there's some other way out that I haven't considered yet, like seeking legal advice or finding someone who can mediate the situation between us to reach a fair compromise.\n[00:15 - 00:21] Speaker A: Wait, reasoning with them? Do you really think they'll listen? They seem pretty set on their decision.\n[00:21 - 00:31] Speaker B: Honestly, I don't know. But what else can I do? It's not like I can just give up and let them walk all over me. I need to stand up for myself, even if it's difficult.\n[00:31 - 00:38] Speaker A: Right, but isn't there someone else you could talk to? Maybe someone who has more influence over them?\n[00:38 - 00:42] Speaker B: That's a good point. I hadn't thought about that. It might be worth a shot."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1013581.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hey.\n[00:00 - 00:04] Speaker B: Hey there. You looked lost. Are you okay?\n[00:04 - 00:19] Speaker A: I don't know. I feel like I'm disconnected from everything and everyone around me. I just feel so alone like I'm drifting through life without any real direction or purpose, as if I'm watching everything from the outside without truly being part of it.\n[00:10 - 00:19] Speaker B: I totally get that. But when you say \"alone,\" do you mean physically alone, or is it more of an emotional feeling, like you're not connecting with people even when they're around?\n[00:20 - 00:41] Speaker A: It's more of an emotional feeling, like I'm surrounded by people, but I still feel isolated. Everyone else seems to know what they're doing and where they're going except for me. And I have no idea what I'm doing or where I'm supposed to\n[00:43 - 00:52] Speaker B: That uncertainty can be really overwhelming. Have you thought about what might be causing these feelings? Maybe there's something specific that's triggering this sense of being lost?\n[00:52 - 01:02] Speaker A: I think it's a mix of things—life changes, expectations, and maybe even some unresolved issues from the past. It's just hard to pinpoint exactly what it is."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--327822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:16] Speaker A: I'm so excited for the reunion! I have a great plan to make it the best one with some fun activities and surprises that everyone will love, including a nostalgic photo slideshow, interactive games from our school days, and personalized gifts for each attendee.\n[00:04 - 00:08] Speaker B: What's your plan? I'm curious about how you're going to pull this off.\n[00:08 - 00:17] Speaker A: I've been making a list of all the things we'll need and getting everything ready. I can't wait to see everyone's reaction when they see what I've prepared.\n[00:17 - 00:23] Speaker B: That sounds like a lot of work. Are you sure you're up for it? I mean, organizing everything can be pretty exhausting.\n[00:24 - 00:29] Speaker A: Of course! This is going to be great. Everyone will be so impressed with how well it goes.\n[00:30 - 00:33] Speaker B: I hope so. I know how much you've been looking forward to it.\n[00:33 - 00:37] Speaker A: I have! This is going to be the best reunion ever."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--125527.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, coach. How are you today?\n[00:03 - 00:04] Speaker B: I'm doing well, Tawny. How are you?\n[00:05 - 00:19] Speaker A: I'm good. I'm just getting ready to go up on the platform and perform. I'm a little nervous, but I know that I can rely on my training and preparation to get through it successfully, just like we've practiced countless times in our training sessions.\n[00:12 - 00:19] Speaker B: Tawny, I just wanted to remind you to visualize your success before you go up there. It can really help calm your nerves.\n[00:19 - 00:28] Speaker A: Thanks for the tip, Coach. I know that you have been practicing a lot and you are very talented. Just remember to breathe and focus on your form and technique.\n[00:29 - 00:33] Speaker B: And one more thing, Tawny—are you confident about the new routine we incorporated last week?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--578986.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Joe. How are things going?\n[00:03 - 00:05] Speaker B: Things are going well, Bennett. How are you?\n[00:05 - 00:08] Speaker A: I'm doing well, thanks. So, what's new?\n[00:08 - 00:22] Speaker B: Well, we've been getting a lot of good feedback on your recent performances. Your fans seem to really enjoy your unique connection with the audience during live shows, especially how you engage them with spontaneous improvisations and heartfelt storytelling between songs.\n[00:14 - 00:21] Speaker A: Speaking of fans, I was wondering if we should organize a meet-and-greet event soon. What do you think?\n[00:21 - 00:30] Speaker B: That's a great idea! But I was about to mention that your style of playing is what's really resonating with them. We've also been getting a lot of interest from record labels who want to sign you.\n[00:31 - 00:41] Speaker A: Really? That's great news! I'm definitely interested in signing with a label so that I can reach even more people with my music. Thanks for letting me know, Joe."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--932676.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, I'm interested in test driving a few cars.\n[00:03 - 00:06] Speaker B: Absolutely! What kind of car are you looking for?\n[00:07 - 00:09] Speaker A: I'm not really sure. Maybe an SUV?\n[00:10 - 00:22] Speaker B: We have a great selection of SUVs. Follow me and I'll show you some of our latest models that have received excellent reviews and come with advanced features like lane-keeping assist, adaptive cruise control, and premium sound systems.\n[00:14 - 00:19] Speaker A: Actually, could you tell me if there are any specific deals or promotions on SUVs right now?\n[00:20 - 00:27] Speaker B: Yes, we do have some promotions on certain models. Let me show you those as well. So, what do you think of this SUV? It's one of our newest models.\n[00:28 - 00:35] Speaker A: It's nice. I like the feel of it. How much does it cost, and are there any financing options available?\n[00:35 - 00:40] Speaker B: Before we get into the price, can you tell me what features are most important to you in an SUV?\n[00:40 - 00:47] Speaker A: Sure, I'm looking for good fuel efficiency and advanced safety features. But I'm also curious about the cost.\n[00:48 - 00:55] Speaker B: This model is priced at $30,000, and we do have flexible financing options available to make it more affordable for you.\n[00:55 - 00:56] Speaker A: I'll take it.\n[00:57 - 01:00] Speaker B: Great! I'll just need your driver's license and insurance information."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--105890.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Mom, I don't want to go back in. That was really embarrassing.\n[00:04 - 00:12] Speaker B: What happened? Why did they throw you out of the theater like that without even giving you a warning first? That seems really extreme for just yelling at a movie.\n[00:06 - 00:14] Speaker A: I was yelling at the screen. The movie was so bad, I couldn't help it. It's just not worth my time or money to watch something that terrible.\n[00:14 - 00:26] Speaker B: Well, maybe we can find something else for you to do instead then. Let's go look around and see if there's another activity that might cheer you up, like visiting that new arcade they just opened in the mall or maybe getting some ice cream.\n[00:26 - 00:30] Speaker A: No, I don't want to see anything else. I just want to go home.\n[00:30 - 00:39] Speaker B: Leighla, please try to understand. Movies are a form of entertainment and sometimes they're not going to be perfect. But that doesn't mean you should give up on them entirely.\n[00:39 - 00:45] Speaker A: I know, but this one was just so bad. I can't sit through something like that again.\n[00:45 - 00:53] Speaker B: All right, well how about we wait a little while and then we'll go home? Maybe by then you'll be in a better mood and willing to give another movie a try.\n[00:54 - 00:56] Speaker A: Fine. But I'm not going to like it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--132857.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: Axton, I'm so sorry. I never meant for any of this to hurt you or put you in danger, especially when I knew how vulnerable you were after everything that happened with your family and the loss you suffered.\n[00:04 - 00:10] Speaker B: It's not your fault, Kenia. I was the one who made the deal with the demon. I was the one who was foolish enough to think I could outsmart him.\n[00:10 - 00:24] Speaker A: But I should have been able to stop you. I should have been able to talk you  out of it before things got so bad, maybe by reminding you of all the good memories we shared and the people who still cared about you despite everything.\n[00:25 - 00:34] Speaker B: Kenia, you couldn't have known what I was going to do. And even if you had, there's no way you could have stopped me. I was determined to get my revenge, no matter the cost.\n[00:34 - 00:37] Speaker A: I should have tried harder. I should have done something.\n[00:38 - 00:45] Speaker B: Kenia, you did everything you could. You saved my soul from eternal damnation. I will never be able to repay you for that.\n[00:45 - 00:50] Speaker A: There's nothing to repay, Axton. I did what any friend would do.\n[00:51 - 00:55] Speaker B: Not many people would have been able to do what you did, Kenia. You're a hero."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--714054.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Hi, class. Today we're going to be talking about fractions. Can anyone tell me what a fraction is, and how it represents a part of a whole? I'd like you to think about how we use fractions in our daily lives before answering this question.\n[00:05 - 00:12] Speaker B: Sorry to interrupt, but could you explain how fractions are used in real-life situations? I think that might help us understand better.\n[00:13 - 00:33] Speaker A: Sure! Fractions are used in many real-life situations, like when you're cooking and need to measure ingredients, or when you're dividing something, like a pizza, into equal parts. For example, if I have one slice of pizza and I cut it into four pieces, each piece would be one fourth, or 1/4, of the pizza. Does that make sense?\n[00:34 - 00:34] Speaker B: Yes.\n[00:35 - 00:40] Speaker A: Good. Now, let's try some problems. Who can tell me what one fourth plus one fourth is?\n[00:41 - 00:41] Speaker B: One half."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--4814.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:07] Speaker A: I'm sorry to have to say this, but I think our current situation is not working out well. I would like to improve it if possible.\n[00:07 - 00:10] Speaker B: Of course, what do you suggest we do to improve the situation?\n[00:11 - 00:30] Speaker A: Actually, I was thinking that our communication could be better. For example, I often feel like I'm not getting clear instructions from you, and as a result, my work isn't up to your standards. Also, I feel like you're constantly putting me down in front of other people and it's really undermining my confidence.\n[00:30 - 00:59] Speaker B: I see. Well, first of all, I'm sorry if I've been unclear with my instructions. That wasn't my intention. As for putting you down in front of others, that was never my intention either. I just want you to understand that when it comes to your work, there's always room for improvement. However, I appreciate your honest feedback and I'll try to do better in both how I communicate and how I provide constructive criticism by being more mindful of my tone and ensuring my feedback is specific, actionable, and delivered in a supportive manner.\n[00:49 - 01:05] Speaker A: I really appreciate that, and I think it will make a big difference. But I also think it would be helpful if we could set some clear goals and expectations for my work. That way, I would know exactly what you're looking for and I could put all of my effort into meeting those standards.\n[01:05 - 01:10] Speaker B: That sounds like a great idea. Let's sit down and come up with some specific goals for your work."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--168398.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, Evelyn, what's your story?\n[00:02 - 00:13] Speaker B: Well, I was named after my grandmother. She was a very strong woman, and I always admired her resilience and the way she handled challenges in life with such grace and determination, even during the most difficult times of her life.\n[00:07 - 00:12] Speaker A: That's really cool. I was named after my mother. Do you have any kids?\n[00:12 - 00:15] Speaker B: No, I don't. I always wanted to, but it just never happened for me.\n[00:16 - 00:21] Speaker A: That's really sad. I'm sorry to hear that. I can imagine it must be difficult.\n[00:22 - 00:27] Speaker B: Oh, it's okay. Life just takes us in different directions sometimes. So, what about you? Do you have any kids?\n[00:28 - 00:33] Speaker A: No, I don't have any kids either. But I've always wanted them. Someday, hopefully...\n[00:33 - 00:37] Speaker B: Yeah, hopefully someday we'll both be able to experience the joys of motherhood!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--188315.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, babe. You look great today.\n[00:03 - 00:14] Speaker B: Thanks, Cattleya. You always know how to make me feel so special and appreciated, especially when you notice the little details like how I styled my hair differently today or picked out this particular shade of lipstick.\n[00:05 - 00:12] Speaker A: Sorry to interrupt, but I just have to ask—where did you get that dress? It's absolutely stunning!\n[00:12 - 00:25] Speaker B: Oh, I got it from that boutique downtown. I knew you would like it. I saw it and thought of you immediately because it has that elegant yet modern aesthetic you always gravitate toward, with the perfect balance of sophistication and playfulness.\n[00:26 - 00:30] Speaker A: You have such an eye for fashion! Maybe we should go shopping together sometime.\n[00:31 - 00:33] Speaker B: I'd love that! Well, you have excellent taste too!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--726133.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hi there!\n[00:01 - 00:02] Speaker B: Hey! How are you doing?\n[00:03 - 00:13] Speaker A: I'm doing well, thanks for asking. Just enjoying the nice weather we've been having lately with these perfect sunny days and cool breezes that make outdoor activities so enjoyable.\n[00:06 - 00:12] Speaker B: Sorry to cut in, but I just remembered—did you get a chance to check out that new hiking trail that opened up recently?\n[00:12 - 00:27] Speaker A: Oh, I haven't yet, but I've been meaning to! I like to hike, meditate, and just spend time with loved ones. I find that happiness comes from within and that material possessions are not necessary for a fulfilling life.\n[00:27 - 00:35] Speaker B: That sounds really great! I wish more people thought that way. It's so easy to get caught up in the rat race and forget what's truly important in life.\n[00:35 - 00:46] Speaker A: Absolutely! I think we could all benefit from slowing down and taking a step back every once in awhile to appreciate the simple things in life, like nature and meaningful connections.\n[00:46 - 00:51] Speaker B: Speaking of slowing down, do you have any tips for someone who's just starting to get into meditation?\n[00:51 - 01:05] Speaker A: Definitely! Start small, just a few minutes a day, and focus on your breathing. It's all about consistency, not perfection. Well, it was nice meeting you, Alizay. I hope we can chat again sometime.\n[01:05 - 01:07] Speaker B: Definitely! Have a great day!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--186110.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi Sarah. It's nice to meet you.\n[00:02 - 00:05] Speaker B: Thank you, Jeanne. I'm happy to meet you too.\n[00:05 - 00:08] Speaker A: So Sarah, what do you like to do for fun?\n[00:08 - 00:21] Speaker B: Well, I enjoy reading and playing soccer. I also like spending time with my family and friends. And of course, taking care of my pet cat who is always getting into mischief by knocking things off shelves and hiding my socks in the most unexpected places around the house.\n[00:16 - 00:18] Speaker A: Oh, I love cats! What's Muffy like?\n[00:19 - 00:28] Speaker B: Muffy is very playful and loves to chase after toys. She's a bit of a troublemaker sometimes, but I adore her. I was going to say that I also enjoy watching movies on weekends.\n[00:29 - 00:33] Speaker A: That sounds like a lot of fun. Do you have any favorite books or soccer teams?\n[00:34 - 00:47] Speaker B: Yes, I do. My favorite book series is the Harry Potter series. And my favorite soccer team is Manchester City, but I also respect their rivals because they push each other to play at the highest level and create some truly memorable matches.\n[00:46 - 00:53] Speaker A: United? No way! I'm a huge fan too. Have you ever been to one of their matches?\n[00:53 - 00:58] Speaker B: Not yet, but it's definitely on my bucket list. I think it would be amazing to see them play live.\n[00:58 - 01:10] Speaker A: Wow, those are both great choices. I'm a big fan of the Harry Potter series myself, and I've always wanted to visit England to see a Manchester United game.\n[01:10 - 01:12] Speaker B: That would be so much fun! I'm sure you would enjoy it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1146016.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Dude, what the hell? Why did you throw away all my cigarettes?\n[00:04 - 00:13] Speaker B: Because I don't want you to smoke anymore. It's bad for your health, and I care about you. We've been friends for years and I can't just watch you slowly destroy yourself like this.\n[00:07 - 00:14] Speaker A: I know it's bad, but it relaxes me, okay? It's one of the few things that helps me unwind after a long day.\n[00:15 - 00:27] Speaker B: Yehudis, come on. You know it's not good for you. Besides, don't you think your lungs would be a lot happier if you didn't keep putting them through this every day? Imagine how much better you'll feel when you can breathe properly again and have more energy.\n[00:27 - 00:32] Speaker A: I guess you're right, but it's really hard to quit. I've tried before, and it feels impossible.\n[00:33 - 00:36] Speaker B: I know it is. But I'm here to help you. We can do this together."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--672051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Sarah, have you seen the news today?\n[00:02 - 00:04] Speaker B: No, I haven't. What's going on?\n[00:04 - 00:19] Speaker A: There's been a lot of talk about the new immigration law that was just passed in Congress after months of heated debates and negotiations between both political parties, with significant implications for border security and asylum seekers.\n[00:08 - 00:12] Speaker B: Oh, you mean the one that everyone's been debating about? What are your thoughts on it?\n[00:13 - 00:29] Speaker A: I'm not really sure. I know it's supposed to be helpful for people who are trying to come into the country legally, but I'm not sure if it will actually be effective or not. There are a lot of people who are against it, so we'll have to wait and see how public opinion shifts in the coming weeks.\n[00:30 - 00:36] Speaker B: Yeah, it's definitely a controversial topic. I wonder if the opposition will lead to any changes in the law.\n[00:36 - 00:41] Speaker A: We'll see what happens. It could go either way depending on how things unfold."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--287169.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: I'm glad I could help you with your finger, Cali. How did you hurt it? Were you doing something adventurous like rock climbing or maybe trying some new parkour moves with your friends?\n[00:03 - 00:08] Speaker B: I was playing with my friends and we were climbing a tree. I fell and landed on my hand.\n[00:08 - 00:13] Speaker A: Oh, that sounds serious. Did you hit your head or anything else when you fell?\n[00:13 - 00:18] Speaker B: No, just my hand. The pain isn't as bad as it was before, so I'm feeling better now.\n[00:18 - 00:31] Speaker A: That's good. You should keep the band-aid on for a little while longer just to be safe, and make sure you don't put too much pressure on your hand for a few days while it fully heals to prevent any further injury or complications.\n[00:29 - 00:32] Speaker B: Oh, I will for sure. Thanks for helping me, Hali."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--588465.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, I'm looking for an apartment to rent.\n[00:03 - 00:05] Speaker B: We have a few units available. What is your budget?\n[00:06 - 00:09] Speaker A: I can afford $500 per month.\n[00:09 - 00:15] Speaker B: That's our starting price for a one-bedroom unit. Do you have any other preferences, such as location or amenities?\n[00:16 - 00:20] Speaker A: Sorry to interrupt, but would that price include utilities?\n[00:20 - 00:28] Speaker B: No, utilities are not included in that price. However, we do have some units where utilities are included. Do you have any other preferences?\n[00:29 - 00:33] Speaker A: I would like something close to campus and with utilities included.\n[00:33 - 00:42] Speaker B: We have a few units that meet those criteria. Are you interested in scheduling a viewing today or later this week because our availability tends to fill up quickly during this season?\n[00:37 - 00:40] Speaker A: Yes, I'm definitely interested. Could I see them today?\n[00:41 - 00:46] Speaker B: Of course. I'll show you the units we have available, and you can let me know which one you're interested in.\n[00:46 - 00:47] Speaker A: Thank you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--366989.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hi, I saw that you were struggling with your project and I wanted to offer my help.\n[00:05 - 00:07] Speaker B: Thank you so much, Luc! I really appreciate it.\n[00:08 - 00:24] Speaker A: No problem at all! I know how frustrating it can be when you're stuck on something. Let me see if I can help you figure out the next steps or troubleshoot any issues you're having by breaking down the problem into smaller, more manageable components that we can address one at a time.\n[00:14 - 00:18] Speaker B: Actually, I was wondering if you have any experience with similar projects?\n[00:18 - 00:29] Speaker A: Yes, I've worked on a few projects like this before. Okay, so it looks like you're having trouble with this part of the project. Have you tried doing it this way? It might streamline the process.\n[00:29 - 00:33] Speaker B: Wait, before we go into that, can you explain why this method might work better?\n[00:34 - 00:47] Speaker A: Sure, the reason this method might work better is because it simplifies the process and reduces the chance of errors  while also saving you valuable time that you can then dedicate to other important aspects of your project development.\n[00:48 - 00:50] Speaker B: No, I didn't think of that. Thank you, Luc!\n[00:50 - 00:53] Speaker A: You're welcome! I'm glad I could help."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1011922.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Thank you so much for the cookies, they're delicious!\n[00:03 - 00:07] Speaker B: Oh, it's no problem at all. I'm just glad I could help you out with the fence.\n[00:07 - 00:18] Speaker A: Yeah, it was getting pretty bad. I appreciate your willingness to spend your weekend helping me out and going above and beyond what most neighbors would do in this situation.\n[00:12 - 00:18] Speaker B: Sorry, I just remembered, did you also need help with the garden? I noticed it looked like it could use some attention.\n[00:19 - 00:33] Speaker A: Oh, the garden? Yes, actually, I was thinking about that. But I haven't finished thanking you for the fence  and all the hard work you put into it, especially considering how difficult those old posts were to remove and replace with new ones.\n[00:34 - 00:39] Speaker B: Oh, don't mention it! But seriously, if you need help with the garden or anything else, just let me know."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--662948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey Lily, it's great to see you! I've missed hanging out with you.\n[00:04 - 00:07] Speaker B: I've missed you too, Carmyn. It's been way too long. How have you been?\n[00:07 - 00:20] Speaker A: I've been good. Just been really busy with work and other things. But I'm glad to finally have some free time to catch up with you and hear all about what's been happening in your life these past few months.\n[00:13 - 00:17] Speaker B: Sorry to interrupt, but what kind of work have you been busy with? Anything exciting?\n[00:18 - 00:27] Speaker A: Mostly just the usual stuff, but we did start a new project that's pretty interesting. Anyway, I'm glad to have some time to spend with you today.\n[00:27 - 00:31] Speaker B: Me too. So what do you want to do? I don't want to just sit around all day.\n[00:32 - 00:43] Speaker A: Well, we could go for a walk outside. It's really cold but it would be  refreshing and we could catch up more while enjoying the winter scenery and maybe even stop for some hot chocolate along the way.\n[00:43 - 00:48] Speaker B: Oh, speaking of cold, did you hear about the weather warning for today? We should be careful.\n[00:48 - 00:54] Speaker A: Yeah, I heard about it. But I think it would still be fun. Let me just grab my coat and gloves.\n[00:55 - 00:57] Speaker B: Wow, it's really coming down out here!\n[00:57 - 01:01] Speaker A: Yeah, it's pretty intense. But it's so beautiful.\n[01:02 - 01:06] Speaker B: Definitely. I love the snow. It's one of my favorite things about winter.\n[01:07 - 01:12] Speaker A: I know! It's so magical. Every time it snows, I feel like a kid again."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--946489.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, how have things been going for you lately?\n[00:03 - 00:14] Speaker B: Not too bad, I guess. Just been really busy with work and trying to balance everything has been a bit overwhelming, especially with all the new responsibilities I've taken on this quarter while still maintaining my personal commitments.\n[00:06 - 00:12] Speaker A: Speaking of work, have you had any major projects recently that have been taking up most of your time?\n[00:12 - 00:31] Speaker B: Yeah, actually, there's this one big project that's been pretty demanding. It's been keeping me on my toes, but it's also kind of exciting. I was going to say that it's also been a bit stressful, but I'm trying to stay positive and focus on the progress we're making, which has been significant despite the tight deadlines and complex requirements we're dealing with.\n[00:31 - 00:38] Speaker A: I totally get that! Stressful projects can be tough, but they often lead to the most growth, don't you think?\n[00:38 - 00:43] Speaker B: Absolutely, they do. And I guess that's the silver lining—learning and growing through the challenges."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1188975.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:22] Speaker A: I always pay cash for everything because I don't want my spending to be tracked. It's just easier that way, you know? Plus, I don't really like using credit cards or anything else that could be used to track my purchases or spending habits through digital transactions, which could potentially be hacked or monitored by third parties without my knowledge or consent. It just feels more secure to me.\n[00:12 - 00:19] Speaker B: Sorry to jump in, but doesn't it get risky carrying around so much cash all the time? I mean, what if you lose it or something?\n[00:19 - 00:37] Speaker A: Yeah, it can be a pain sometimes. But it's worth it to me, you know? I'd rather have the peace of mind knowing that my spending is not being tracked. Plus, I was going to say that it's not just about the tracking, it's also about avoiding the temptation of overspending with credit cards.\n[00:37 - 00:40] Speaker B: Fair enough. I guess we all have our own reasons for the things we do."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--282928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: I can't believe they didn't give me the promotion. I really thought I had it in the bag this time after all the extra projects I took on and the positive feedback I received during my last performance review.\n[00:04 - 00:07] Speaker B: What happened? Did they say why they chose someone else?\n[00:07 - 00:20] Speaker A: My boss called me into his office this morning and told me that they had decided to give the job to someone else. He said that although I was a strong candidate, the other person just had a little more experience.\n[00:20 - 00:29] Speaker B: Katie, I'm so sorry. That must have been really tough to\n[00:31 - 00:41] Speaker A: Yeah, it was. I've been working at this company for years and I thought I deserved that promotion. Now I feel like all my hard work has gone to waste.\n[00:41 - 00:49] Speaker B: You haven't wasted your hard work. Just because you didn't get this one job doesn't mean your career is over. You're still a valuable employee with a lot to offer.\n[00:49 - 00:55] Speaker A: I know you're right. But it's just hard to see the silver lining when I'm feeling so down about it.\n[00:55 - 01:01] Speaker B: I completely understand. It sounds like you really need some time to process what happened and figure out your next steps.\n[01:02 - 01:09] Speaker A: Yeah, I think you're right. Thanks for listening, Carnell. It really helps to talk to someone about it.\n[01:09 - 01:11] Speaker B: Of course, Katie. That's what friends are for."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--520823.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey dad. I found this letter you wrote to me.\n[00:03 - 00:13] Speaker B: Oh, that? Yeah, I meant to give that to you a while ago but I never got around to finding the right moment to hand it to you because I wasn't sure how you'd react to such personal thoughts from your old man.\n[00:07 - 00:12] Speaker A: It's really sweet. I had no idea you felt this way about me.\n[00:12 - 00:20] Speaker B: Of course I do! You're my son and I'm proud of you. No matter what you do in life, know that I will always be here to support you, through thick and thin.\n[00:20 - 00:29] Speaker A: Sorry to cut you off, Dad, but I just wanted to say—I feel the same way about you. I don't always say it, but I really appreciate everything you've done for me.\n[00:30 - 00:37] Speaker B: Thanks, son. That means a lot to me too. I just want you to be happy and successful. That's all any parent could ever want for their child."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1083511.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Mom, I'm old enough to drive. I can take the keys.\n[00:04 - 00:16] Speaker B: No, Janyla. I'm the grown-up here. You're just a teenager, and you don't have enough experience yet to handle the complexities of city traffic and unexpected road situations that even experienced drivers find challenging.\n[00:07 - 00:11] Speaker A: But Mom, I'm responsible. I promise I'll be careful.\n[00:11 - 00:26] Speaker B: No, Janyla. I don't want you driving my car. It's too much responsibility for you right now. Maybe when you're a little older, but until then, we'll stick to our current arrangement where I drive you places until we both feel more comfortable with your driving skills and judgment.\n[00:28 - 00:32] Speaker A: But Mom! Everyone my age is driving! Why can't I?\n[00:32 - 00:41] Speaker B: Because not everyone your age is responsible enough to handle that kind of responsibility, and I don't want to take that chance with you. I'm sorry, but my answer is no.\n[00:41 - 00:43] Speaker A: Fine. I'll just walk then.\n[00:44 - 00:48] Speaker B: Janyla, it's dark out. You shouldn't be walking by yourself.\n[00:48 - 00:52] Speaker A: I don't care. I'd rather walk than ride with you.\n[00:52 - 00:55] Speaker B: Janyla, don't be like that. Come on, let's go home.\n[00:55 - 00:58] Speaker A: No! I'm not going home with you. I'm walking!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--435477.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much, just wanted to talk to you about something.\n[00:04 - 00:05] Speaker A: Sure, what is it?\n[00:06 - 00:14] Speaker B: I don't really know how to say this, but I need your help with something that's been bothering me for a while and I feel like you're the only person who can understand what I'm going through right now.\n[00:08 - 00:11] Speaker A: Of course, anything for you. What do you need?\n[00:12 - 00:14] Speaker B: I don't know if I can tell you. It's kind of embarrassing.\n[00:15 - 00:19] Speaker A: Hey, it's okay. You can tell me anything. I promise.\n[00:19 - 00:25] Speaker B: Alright, well...I think I'm in love with someone and I don't know how to tell them without making things awkward between us.\n[00:25 - 00:31] Speaker A: Wait, you're in love? That's amazing! But, um, who are we talking about here?\n[00:31 - 00:36] Speaker B: Well, the thing is...it's not a person. It's an object.\n[00:36 - 00:39] Speaker A: An object? Like, a possession?\n[00:39 - 00:42] Speaker B: Yeah, like a piece of furniture or something."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--406352.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:19] Speaker A: Yes, absolutely. Preaching is one of the most important things a Christian can do. It's our job to spread the good news of the gospel to as many people as possible, and preaching is one of the best ways to reach those who may not have heard it before by creating meaningful connections and opening hearts to spiritual transformation through powerful messages.\n[00:11 - 00:17] Speaker B: But why is it so important? I mean, surely there are other ways to evangelize besides preaching?\n[00:17 - 00:37] Speaker A: Well, first of all, preaching is effective. It's a great way to reach people and share the gospel with them. And secondly, it's our duty as Christians. We're called to be witnesses for Christ, and preaching is one of the best ways to  fulfill that calling and make a difference in people's lives by planting seeds of faith that may blossom when they're most needed.\n[00:38 - 00:43] Speaker B: But what if people don't want to listen? What if they're not interested in what we have to say?\n[00:43 - 01:02] Speaker A: That's where our persistence and our passion come in. We need to be passionate about sharing the gospel, and we need to be persistent in doing so, even if people don't seem interested at first. We never know when someone might be ready to hear the good news, and so we need to keep preaching, even when it seems like no one is listening."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1066203.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey there, old friend. How are you doing today?\n[00:03 - 00:06] Speaker B: I'm doing well, thank you for asking. And yourself, sir?\n[00:06 - 00:11] Speaker A: I'm good, just getting a little bit of work done. You know how it is.\n[00:11 - 00:14] Speaker B: Yes, indeed I do. It's always good to stay busy.\n[00:15 - 00:19] Speaker A: Absolutely! So, what have you been up to lately? Anything exciting?\n[00:20 - 00:37] Speaker B: Oh, nothing too exciting. Just the usual day-to-day stuff. But I did get a chance to help out with a few things around the house the other day which was quite satisfying because I've been meaning to tackle those projects for months and it feels great to finally check them off my to-do list. I finally got around to fixing that broken shelf too.\n[00:27 - 00:32] Speaker A: Sorry to cut in, but did you manage to fix that leaky faucet you mentioned last time?\n[00:32 - 00:39] Speaker B: Oh, yes, I did! It took a bit longer than expected, but it's all sorted now. Anyway, you were asking if there was anything new with me?\n[00:40 - 00:43] Speaker A: Well, actually, I've been meaning to talk to you about something.\n[00:43 - 00:44] Speaker B: Oh? What is it?\n[00:45 - 00:50] Speaker A: I was thinking about retiring soon and I was wondering if you would be interested in taking over my business.\n[00:51 - 00:53] Speaker B: Me, sir? Are you sure?\n[00:53 - 01:04] Speaker A: Absolutely! I wouldn't trust anyone more than you. You've been a loyal and hardworking servant ever since I met you, and I know that you have the potential to be a great master in your own right.\n[01:04 - 01:10] Speaker B: Well, I don't know what to say...Thank you, sir! This is a great honor. I will do my best to make you proud."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--28766.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Stop it! What are you doing?\n[00:02 - 00:09] Speaker B: She started it! She hit me when I was just standing there minding my own business and didn't even see it coming until it was too late to react.\n[00:04 - 00:08] Speaker A: I don't care who started it. This has to stop. Now.\n[00:08 - 00:14] Speaker B: Fine. But she better not come near me  or I'll have to defend myself again because I won't just stand there and take it this time.\n[00:15 - 00:20] Speaker A: Don't worry, I'll make sure she doesn't. But I need to understand what happened.\n[00:20 - 00:23] Speaker B: She just came up to me and started hitting me for no reason!\n[00:23 - 00:27] Speaker A: That's awful. I'm so sorry you had to go through that.\n[00:28 - 00:29] Speaker B: Yeah, it was pretty scary.\n[00:30 - 00:34] Speaker A: Do you want to talk about it? I'm here for you if you need to talk."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--317167.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Oh my god, I can't believe I just did that.\n[00:03 - 00:05] Speaker B: It's not a big deal, don't worry about it.\n[00:06 - 00:21] Speaker A: I'm sorry, it's just that I'm really nervous. This is my first time doing something like this and I don't want to make any mistakes that could affect the outcome because this project means so much to me and I've been preparing for weeks to get everything just right.\n[00:12 - 00:19] Speaker B: Mess it up? I totally get it. But remember, everyone has to start somewhere. What's the main thing you're worried about right now?\n[00:20 - 00:32] Speaker A: Relax, you're going to do fine. Just take a deep breath and focus on what you're doing. You'll be  more confident once you get into the flow of things and realize that you actually know more than you think about this whole process.\n[00:33 - 00:40] Speaker B: Wait, before you continue, can you clarify what exactly you need to focus on? Maybe I can give you some specific advice.\n[00:40 - 00:42] Speaker A: Thanks. I appreciate your help.\n[00:42 - 00:46] Speaker B: No problem, that's what I'm here for. Let me know if you need anything else."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--185307.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: It's so nice out today.\n[00:02 - 00:06] Speaker B: I know, right? It's like nature is finally starting to show us some mercy.\n[00:06 - 00:19] Speaker A: Yeah, I was just thinking the same thing. The sun is shining and the birds are singing… it feels like a weight has been lifted off my shoulders after weeks of gloomy weather and constant stress from work and personal responsibilities.\n[00:13 - 00:18] Speaker B: Sorry to cut in, but do you think this good weather will last? I've been planning a weekend trip.\n[00:19 - 00:25] Speaker A: I'm not sure, but I hope so. I was saying it feels like a weight has been lifted off my shoulders.\n[00:25 - 00:29] Speaker B: Isn't it great? I feel like I can finally breathe again.\n[00:30 - 00:35] Speaker A: Yeah, me too. I'm just grateful to be here and have this moment of peace.\n[00:35 - 00:39] Speaker B: I know what you mean. It's like the world is finally starting to make sense again.\n[00:40 - 00:45] Speaker A: Speaking of making sense, do you think this peaceful feeling will help us focus better at work?\n[00:45 - 00:50] Speaker B: Yeah, it might. But I was going to say it's like the world is finally starting to make sense again.\n[00:51 - 00:55] Speaker A: Yeah. I feel like I belong here. Like this is where I'm supposed to be.\n[00:55 - 01:00] Speaker B: I know how you feel. This place has a way of making you feel at home, even when you're not from here.\n[01:01 - 01:06] Speaker A: Yeah, that's exactly it. I'm not from here, but this feels like home.\n[01:06 - 01:12] Speaker B: Well, we all need a place to belong. And sometimes, it takes finding the right place before we can truly feel at home."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1028263.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Sarah, I'm so excited for my date with Jeremy tonight! I feel like everything is going to go smoothly, but I can't help feeling a little nervous about it. I've been thinking about this moment for weeks and really want to make a great impression.\n[00:06 - 00:12] Speaker B: Oh, Takia, I just remembered—did you pick out what you're going to wear? I know that can make such a difference in how you feel.\n[00:13 - 00:20] Speaker A: Yes, I did! I chose that cute dress you helped me pick out last week. I hope everything goes perfectly tonight.\n[00:20 - 00:26] Speaker B: I hope so, Takia! You deserve it after waiting so long for him to ask you out. Just be yourself and have fun.\n[00:27 - 00:45] Speaker A: I will, Sarah. I think the biggest thing for me is just not to get too nervous. Jeremy is really great and I don't want to mess things up by being a bundle of nerves. But at the same time, I don't want to come across as uninterested either. It's such a fine line between showing interest and overthinking everything.\n[00:45 - 00:54] Speaker B: Oh, I totally get that! But you know what? If you start feeling nervous, maybe just focus on asking him questions about himself. It could take some of the pressure off you.\n[00:54 - 01:06] Speaker A: That's a good idea! I hadn't thought of that. I think you're right—I just need to relax and go with the  flow and enjoy getting to know him better without putting too much pressure on myself or the situation.\n[01:07 - 01:09] Speaker B: Anytime, girl! Good luck tonight."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--708040.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, boss. I've got some good news and some bad news.\n[00:03 - 00:04] Speaker B: What's the good news?\n[00:05 - 00:22] Speaker A: The good news is that we've found a large oil reserve. It looks like there's a lot of oil here, and we should be able to extract it relatively easily with the current technology we have, especially since our new drilling equipment has proven to be highly efficient in similar geological conditions.\n[00:14 - 00:17] Speaker B: Hold on—when you say 'a lot of oil,' do we have any estimates on the volume?\n[00:18 - 00:28] Speaker A: We estimate it's in the range of several million barrels, which is why it's such a significant find. But I was going to mention that it should be relatively easy to extract.\n[00:28 - 00:32] Speaker B: Excellent! This is great news for the company. What's the bad news?\n[00:32 - 00:54] Speaker A: The bad news is that this reserve is located in a very remote area. It's going to be expensive to set up operations here, and it will be difficult to manage the logistics of getting the necessary equipment and workforce to the site, not to mention the environmental impact assessments and regulatory approvals we'll need to secure before we can even begin construction.\n[00:51 - 00:57] Speaker B: Expensive in terms of infrastructure, I assume? Are we talking about new roads, pipelines, or both?\n[00:57 - 01:08] Speaker A: Yes, exactly. We would need to build new roads and pipelines, which adds to the complexity. I was also going to say it will be difficult to transport the oil once we extract it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--263928.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, I'm here to check out the new restaurant.\n[00:03 - 00:05] Speaker B: Sure, come on in! We're just about to open for lunch.\n[00:06 - 00:09] Speaker A: Great, I'm starving. So what's this place all about?\n[00:10 - 00:24] Speaker B: Well, we focus on healthy and organic food. Everything is made from scratch using local ingredients that are in season, so our menu changes frequently to showcase the best flavors each season has to offer while maintaining our commitment to sustainability.\n[00:15 - 00:20] Speaker A: Oh, are the ingredients sourced from nearby farms? I love supporting local producers.\n[00:20 - 00:29] Speaker B: Yes, exactly! We work with several local farms to get the freshest produce. We just opened up last week, so we're still getting everything set up, but we're really excited about it.\n[00:30 - 00:32] Speaker A: I can tell! So what's on the menu?\n[00:33 - 00:40] Speaker B: Let me show you. (She leads him to the menu board) We have a bunch of different salads, sandwiches, and soups. Everything is under $10.\n[00:41 - 00:46] Speaker A: That's great! I'll definitely be back for lunch soon. Thanks for showing me around.\n[00:46 - 00:48] Speaker B: No problem, enjoy your day!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1131940.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: That was a really good meal.\n[00:02 - 00:12] Speaker B: I'm glad you liked it. I put a lot of work into perfecting the recipe, especially the seasoning which took several trial runs to get just right with the perfect balance of herbs and spices.\n[00:04 - 00:11] Speaker A: Sorry to cut in, but did you use a special seasoning for the fish? The flavor was really unique.\n[00:12 - 00:18] Speaker B: Yes, I did use a special blend. I was about to mention that I tried a new recipe for the seasoning. I'm glad you noticed!\n[00:19 - 00:23] Speaker A: It shows. The fish was cooked perfectly, and the flavor was great.\n[00:24 - 00:25] Speaker B: Thanks. I'm glad you enjoyed it.\n[00:26 - 00:29] Speaker A: I did. It was a really nice dinner. Thanks for making it.\n[00:30 - 00:32] Speaker B: You're welcome. I'm glad you liked it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--848051.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Yes, of course. I'm happy to help in any way I can.\n[00:04 - 00:06] Speaker B: Thank you, Ferris. I really appreciate it.\n[00:06 - 00:09] Speaker A: No problem at all. It's the least I can do.\n[00:09 - 00:13] Speaker B: So, how are things going? Are you enjoying the class?\n[00:13 - 00:16] Speaker A: Yes, I am. I'm learning a lot.\n[00:16 - 00:20] Speaker B: That's great to hear! What do you think is the most interesting thing you've learned so far?\n[00:21 - 00:41] Speaker A: I think it would have to be the history of art. It's just fascinating to me to learn about how different cultures and periods of time have expressed themselves through their unique artistic styles and mediums, particularly how these ancient techniques continue to influence modern creative processes across various disciplines today.\n[00:30 - 00:34] Speaker B: Sorry to interrupt, but which period of art history did you find the most captivating?\n[00:35 - 00:44] Speaker A: Oh, that's a good question. I was about to mention that the Renaissance period really stood out to me. The creativity and innovation during that time were incredible.\n[00:45 - 00:51] Speaker B: I see, but before you continue, do you think studying these periods has changed your perspective on modern art?\n[00:51 - 01:00] Speaker A: Absolutely, it has. It makes me appreciate the evolution of art even more. Now, about those cultural expressions, I was saying that..."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--645254.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Agh! I just dropped this plate and it shattered, and I think I'm bleeding.\n[00:04 - 00:05] Speaker B: Let me take a look.\n[00:05 - 00:07] Speaker A: It really hurts.\n[00:07 - 00:18] Speaker B: Okay, let's get you to the bathroom so we can clean it up and see how bad it it is. We need to make sure there's no glass stuck in the wound and properly disinfect the area to prevent any potential infection.\n[00:11 - 00:13] Speaker A: Do you think I'll need stitches?\n[00:13 - 00:21] Speaker B: We'll see once we clean it up. Sarah helps Abril to the bathroom and cleans his wound. After examining it, she says,\n[00:21 - 00:29] Speaker A: Well, the cut isn't too deep, but you're going to need a couple of stitches. I'll call the doctor and see if we can come in today.\n[00:29 - 00:38] Speaker B: Ugh, this is so annoying. I was just getting ready to  finish my project before the deadline and now this accident is going to set me back by at least a couple of hours if not more.\n[00:39 - 00:47] Speaker A: I know it's frustrating, but your health is more important right now. Don't worry about dinner, I'll take care of it. You just focus on getting better."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1182464.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Hey Dereon, can you help me with the dishes? I could really use a break from everything else that's been going on, especially with all the extra responsibilities I've taken on at work and home recently.\n[00:05 - 00:10] Speaker B: Of course, Uri, but before we start, do you need to talk about anything else? You seem a bit stressed.\n[00:11 - 00:25] Speaker A: Thanks, Dereon. I really appreciate it. These dishes have been piling up all week and I'm starting to feel  like I can't keep up with everything anymore, between my job, household chores, and trying to maintain some semblance of a social life.\n[00:26 - 00:33] Speaker B: Overwhelmed? I totally get it. Let's tackle this together, and maybe we can chat while we work. It might help ease some of that stress.\n[00:34 - 00:38] Speaker A: You're right. Thanks for your help, Dereon. I really appreciate it.\n[00:38 - 00:41] Speaker B: No problem, Uri. That's what friends are for."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--102351.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey guys, what's up?\n[00:01 - 00:04] Speaker B: Not much, just hanging out. What's up with you?\n[00:04 - 00:16] Speaker A: I'm just getting ready for my classes and work. I'm really feeling the pressure, but I'm trying to stay on top of everything by creating a detailed schedule and prioritizing my tasks effectively.\n[00:08 - 00:14] Speaker B: Oh, speaking of work, have you managed to balance everything? It sounds like you have a lot on your plate.\n[00:15 - 00:21] Speaker A: Yeah, it's been challenging, but I'm managing. I was going to say I'm really busy these days.\n[00:22 - 00:24] Speaker B: That's great! We're all really proud of you.\n[00:24 - 00:26] Speaker A: Thanks, guys. I appreciate it.\n[00:26 - 00:28] Speaker B: So, how's college going?\n[00:28 - 00:41] Speaker A: It's going well. I'm learning a lot and I'm really enjoying the new subjects and projects I'm working on, especially the research opportunities that allow me to apply theoretical knowledge in practical scenarios.\n[00:41 - 00:47] Speaker B: Sorry to jump in, but do you think you'll have time to catch up with us this weekend? We haven't hung out in a while.\n[00:47 - 00:55] Speaker A: I'd love to, but it depends on my workload. I was about to say I'm really enjoying my classes, but they do keep me busy.\n[00:56 - 00:58] Speaker B: That's great! What are you planning on doing after you graduate?\n[00:59 - 01:09] Speaker A: I'm not sure yet. I'm considering going to grad school, but I haven't decided for sure. I might also look into getting a job in my field of study.\n[01:09 - 01:13] Speaker B: That sounds like a great plan! We'll support you whatever you decide to do."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--535368.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, how was your day today?\n[00:02 - 00:07] Speaker B: It was pretty good. I got a lot done at work and then went out with some friends for a bit. How about you?\n[00:07 - 00:24] Speaker A: I had a pretty good day too. I went out to eat with some friends and then came here to meet you. So, what did you do today that was so productive at work? Did you manage to complete all your tasks ahead of schedule or were there any unexpected challenges that came up during the day?\n[00:15 - 00:19] Speaker B: Oh, before I forget, did you manage to finish that report you were working on last week?\n[00:20 - 00:28] Speaker A: Yes, I finished it yesterday. But as I was saying, after work, I met up with some friends. We walked around the city for a bit and then got coffee.\n[00:29 - 00:32] Speaker B: That sounds like a pretty fun day. I wish I could have gone with you guys.\n[00:33 - 00:37] Speaker A: Yeah, it would have been fun if you were there. Maybe next time."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--12295.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, how've you been?\n[00:01 - 00:04] Speaker B: I've been good. Just busy with work and stuff.\n[00:04 - 00:11] Speaker A: Yeah, I know how that is. I've been busy too. But it's nice to have a break and just relax for a bit.\n[00:11 - 00:20] Speaker B: Yeah, definitely. So, what have you been up to lately? I've been really curious to hear about any new hobbies or adventures you might have started since we last talked.\n[00:14 - 00:19] Speaker A: Oh, I just remembered, I wanted to ask if you've started that new project you mentioned last time?\n[00:20 - 00:24] Speaker B: Oh, you know, just the usual. Work, hanging out with friends. Nothing too exciting.\n[00:24 - 00:30] Speaker A: Yeah, I hear you. I've been wanting to travel more lately though. Get out and explore new places.\n[00:31 - 00:34] Speaker B: Yeah, that sounds really fun! I'd love to do that too.\n[00:34 - 00:48] Speaker A: Yeah, maybe we can do that sometime soon. By the way, you were asking what I've been up to lately  I've been planning a couple of trips and working on some personal projects, including learning photography to document my travels better.\n[00:49 - 00:55] Speaker B: Oh right, I almost forgot! I wanted to say that traveling sounds amazing. Do you have any specific places in mind?\n[00:55 - 00:59] Speaker A: That would be great! I was thinking about maybe Europe or somewhere tropical."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--233562.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Cecelia. I need you to shut up for a minute, okay?\n[00:05 - 00:13] Speaker B: What? Why do you need me to stop talking all of a sudden when we were just having a normal conversation about our weekend plans and everything seemed fine until now?\n[00:06 - 00:11] Speaker A: Because I'm trying to concentrate and your chatter is making it hard for me to focus.\n[00:12 - 00:16] Speaker B: Oh, sorry. I didn't realize I was being so distracting. I'll be more mindful of that.\n[00:17 - 00:22] Speaker A: It's not just that you're being loud, it's also that you're saying really irrelevant things.\n[00:23 - 00:24] Speaker B: Irrelevant? Like what?\n[00:25 - 00:34] Speaker A: Like how hot it is today or how much traffic there is on the street. Just pointless stuff that doesn't help anyone. So can you please be quiet for a while?\n[00:34 - 00:36] Speaker B: Yeah, sure. No problem."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--104948.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, babe. I think we found our new house.\n[00:03 - 00:04] Speaker B: Oh, yeah? Let me see!\n[00:05 - 00:19] Speaker A: It's perfect. Three bedrooms, two bathrooms, and a big backyard with plenty of space for gardening and outdoor activities, plus there's even room for a small play area if we decide to expand our family in the future.\n[00:09 - 00:11] Speaker B: Sounds great! When can we move in?\n[00:12 - 00:18] Speaker A: Sorry to interrupt, but I just thought of something. Did we check if the neighborhood is safe and has good schools?\n[00:19 - 00:30] Speaker B: Yes, I looked into that. The neighborhood has a low crime rate and the schools are highly rated. As I was saying, we can start packing as soon as the paperwork goes through. I just have to make sure everything is in order first.\n[00:30 - 00:41] Speaker A: I can't wait to have our own place again! This time, let's make sure to keep up with the maintenance and repairs so we don't have to deal with any unexpected surprises down the road.\n[00:41 - 00:46] Speaker B: Absolutely. I'll take care of everything. You just focus on packing our things and getting ready for the move.\n[00:47 - 00:49] Speaker A: Thank you, Adelaide. I'm so excited!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--545009.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:00] Speaker A: Hi.\n[00:00 - 00:02] Speaker B: Hi there. What can I do for you?\n[00:02 - 00:07] Speaker A: I'm just looking for a quiet place to read. Do you have any recommendations?\n[00:08 - 00:20] Speaker B: Well, the library is a great place for that. We have plenty of quiet places to read like the reading alcoves on the second floor which are usually very peaceful and equipped with comfortable seating arrangements designed specifically for long reading sessions.\n[00:12 - 00:17] Speaker A: Yeah, but I was hoping for something a little more...secluded. Somewhere where I won't be disturbed.\n[00:18 - 00:29] Speaker B: I see. Well, let me think about it and see if I can come up with something for you. In the meantime, why don't you try one of our study rooms? They're usually pretty isolated from the main areas, so you might find it quite suitable.\n[00:30 - 00:34] Speaker A: Are they soundproof? I really need a place where I won't hear any noise at all.\n[00:35 - 00:41] Speaker B: They're not completely soundproof, but they are very quiet and rarely used at this time of day. Would that work for you?\n[00:41 - 00:44] Speaker A: Alright, that sounds good. Thanks."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--923496.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, Jimmy. What's up?\n[00:01 - 00:03] Speaker B: Not much. Just hanging out.\n[00:03 - 00:08] Speaker A: Yeah, same here. So, what have you been up to lately?\n[00:08 - 00:18] Speaker B: Just the usual stuff. You know, school and trying to keep up with all the assignments while also making time for my part-time job at the local bookstore, which has been keeping me pretty busy these days.\n[00:11 - 00:15] Speaker A: Speaking of school, did you finish that big project we were assigned last week?\n[00:16 - 00:24] Speaker B: Oh, that! Yeah, I did manage to wrap it up yesterday. But I was also going to mention that I've been trying to balance that with some extracurricular stuff.\n[00:24 - 00:30] Speaker A: That's great! Balancing schoolwork with other activities can be tough. So, what are your plans for today?\n[00:31 - 00:36] Speaker B: Oh, not much. Just hanging out with my friends and stuff. You know how it goes, just trying to relax after a busy week.\n[00:37 - 00:41] Speaker A: Wait, are you meeting up with the usual crew or someone new today?\n[00:42 - 00:47] Speaker B: Just the usual crew. We might catch a movie or something. Well, have fun and I'll talk to you later!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--466262.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Yeah, I don't know what to do or where to go. It feels like the whole world is against me, and I just can't seem to find any sense of direction right now despite trying various approaches to improve my situation and mental state.\n[00:05 - 00:14] Speaker B: Sorry to interrupt, but have you talked to anyone else about this? Like a close friend or a counselor? It might help to share your feelings with someone who can offer support.\n[00:14 - 00:19] Speaker A: I haven't really talked to anyone yet. I just feel like I can't trust anyone anymore.\n[00:20 - 00:35] Speaker B: That's understandable, considering what you've been through. But there are people out there who genuinely want to help you. You just have to reach out for them and let them\n[00:36 - 00:41] Speaker A: I get what you're saying, but it's really hard to take that step when you feel so broken inside."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--81191.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I can't believe the project was cancelled. I was really looking forward to it.\n[00:04 - 00:07] Speaker B: I'm sorry, Kaelin. I know you were excited about it.\n[00:08 - 00:21] Speaker A: Yeah, I was. I had been looking forward to it for weeks. And then, when it didn't happen as planned despite all our careful preparations and late-night brainstorming sessions, it felt like all my efforts were in vain.\n[00:13 - 00:18] Speaker B: Sorry to interrupt, but do you know why it was cancelled? Was it a budget issue or something else?\n[00:19 - 00:30] Speaker A: I'm not entirely sure, but I think it was due to some logistical problems. It just sucks because I was really looking forward to it and put a lot of effort into planning for it.\n[00:30 - 00:38] Speaker B: It's understandable that you're upset. But try to look on the bright side – at least you don't have to work on it now and can focus on other things.\n[00:39 - 00:44] Speaker A: That's true. But it still feels like a wasted effort. I really wanted to see it through.\n[00:45 - 00:51] Speaker B: Again, I'm sorry that it didn't work out. Sometimes these things happen and there's nothing we can do about it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--524306.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: What do you mean the engine needs to be replaced? How much is that going to cost me? I wasn't expecting such a major expense, especially since I just had the transmission fixed last month and thought that would be the last big repair for a while.\n[00:05 - 00:07] Speaker B: It's going to be around $2,000.\n[00:07 - 00:12] Speaker A: Are you serious? I can't afford that! What am I supposed to do?\n[00:13 - 00:32] Speaker B: There's not much you can do. You could try finding a used engine, but it's going to be hard to find one that's in good condition. And even if you do find one, it might not work for your car. Or you could try fixing the engine yourself, but that's a lot of work and it's really complicated. I wouldn't recommend it unless you're a mechanic or have someone who can help you with the technical aspects.\n[00:32 - 00:38] Speaker A: Wait, about finding a used engine—do you think it's worth the risk, given the condition it might be in?\n[00:39 - 00:47] Speaker B: Honestly, it's a gamble. Even if you find one, it might not last long or could cause more problems down the line. Is there any way to fix the engine without replacing it?\n[00:47 - 00:57] Speaker A: Not really. The engine is damaged and it's not going to work properly anymore. Even if you could fix it, it would probably cost just as much as replacing it.\n[00:57 - 01:01] Speaker B: I don't have $2,000. I can't afford to replace the engine.\n[01:01 - 01:09] Speaker A: You might be able to get a loan from a bank or credit union. Or you could try selling the car and using the money to buy a new one.\n[01:09 - 01:15] Speaker B: I don't want to sell my car. I've had it for years and it's been really reliable. Plus, I can't afford a new car right now.\n[01:16 - 01:22] Speaker A: Well, you could try finding a used car that doesn't need an engine replacement. That might be your best option right now."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1190867.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how's it going?\n[00:01 - 00:03] Speaker B: Not bad. You buying some vodka?\n[00:04 - 00:16] Speaker A: Yeah, I saw that you had my favorite brand so I decided to pick up a bottle for the weekend since I'm hosting a small gathering with some close friends who appreciate good quality spirits.\n[00:08 - 00:14] Speaker B: Sorry to jump in, but which brand is your favorite? I'm always curious about what people prefer.\n[00:14 - 00:17] Speaker A: Oh, it's the Grey Goose. I find it really smooth.\n[00:18 - 00:20] Speaker B: Good choice. Let me know if you need anything else.\n[00:21 - 00:22] Speaker A: Thanks, I will.\n[00:23 - 00:24] Speaker B: So, do you like working here?\n[00:24 - 00:37] Speaker A: Yeah, it's a pretty good job. I like being able to talk to people and help them find what they're  looking for, especially when they need recommendations or have specific questions about different products and their unique characteristics.\n[00:37 - 00:42] Speaker B: Oh, speaking of helping people, have you ever had a really difficult customer?\n[00:42 - 00:50] Speaker A: Yeah, there have been a few tough ones, especially during the weekends when it gets busy. But it's not too bad during the weekdays.\n[00:50 - 00:54] Speaker B: That's good. I'm sure you're glad to have a job that you enjoy.\n[00:54 - 00:59] Speaker A: Absolutely. I definitely feel blessed to have found a job that I like so much."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--89079.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:20] Speaker A: Mom, I know you're going to be really mad at me, but I just can't take it anymore. I'm tired of being bullied at school. I'm tired of feeling like I don't belong anywhere. I just want to get away from all this pain and confusion that's been building up inside me for months now, making it impossible to focus on anything positive in my life.\n[00:12 - 00:19] Speaker B: Danny, wait! What do you mean by \"get away\"? Are you thinking of doing something drastic? You can't just leave like this without talking it through.\n[00:19 - 00:35] Speaker A: I don't know, Mom. I just feel like running away from everything. I know you mean well, but it's just not enough. I'm not like the other kids at school. I don't fit in anywhere. And no matter how many times you tell me that it'll get better, it never does.\n[00:35 - 00:48] Speaker B: Danny, honey...you're just going through a tough time right now. It'll pass, I promise. Just give it a little more  time and try to focus on the things you enjoy, like your art and music, because those are the parts of you that truly shine and make you special.\n[00:48 - 00:57] Speaker A: Mom, time isn't going to fix this! You don't understand—this isn't just a phase. I'm sorry, but I have to go.\n[00:57 - 01:00] Speaker B: Danny! Come back here! Don't you dare walk out on me!\n[01:00 - 01:02] Speaker A: *keeps walking*\n[01:03 - 01:05] Speaker B: *runs after her*"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--341205.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hey, I wanted to send you a gift, but I didn't want it to get lost in the mail. Can I get your address?\n[00:06 - 00:15] Speaker B: Sure, no problem. Let me just grab a pen and a piece of paper so I can carefully write down my complete address with all the necessary details for accurate delivery.\n[00:09 - 00:16] Speaker A: Actually, before you do that, I was wondering—do you prefer getting gifts through mail, or would you rather meet up in person sometime?\n[00:17 - 00:25] Speaker B: Meeting up would be great, but I think mailing it might be easier with our schedules. I was going to say, let me just grab a piece of paper to write it down.\n[00:25 - 00:28] Speaker A: Got it, thanks. So how have you been lately?\n[00:29 - 00:36] Speaker B: I've been good. Just been busy with work and trying to balance everything while still making time for personal projects and social commitments.\n[00:36 - 00:42] Speaker A: Oh, speaking of work, did you ever finish that big project you were telling me about last time?\n[00:42 - 00:56] Speaker B: Yeah, I did! It was a lot of work, but it turned out really well. I was just about to say I've been busy with work and  various other commitments, but that project was definitely the highlight since it allowed me to showcase my skills and creativity in ways I hadn't before.\n[00:57 - 01:00] Speaker A: Oh, you know, just the usual. Work and stuff."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--100933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey boss, what's up?\n[00:01 - 00:03] Speaker B: Not much, what's up with you?\n[00:03 - 00:08] Speaker A: I'm just getting some work done. I wanted to talk to you about something though.\n[00:08 - 00:09] Speaker B: Sure, what is it?\n[00:10 - 00:28] Speaker A: I was wondering if there's any chance I could get a raise. I've been working here for a while and I feel like I've been doing a great job, especially with the additional responsibilities I've taken on recently, consistently meeting deadlines and going above and beyond to ensure our team's success in all major projects.\n[00:17 - 00:25] Speaker B: I understand where you're coming from. Before we dive into that, can you tell me how you feel your recent projects have impacted the team's overall performance?\n[00:26 - 00:40] Speaker A: Absolutely. I think my contributions have really helped streamline our processes, especially with the new software integration. But as I was saying, I do feel like I've been doing a great job and would appreciate it if you could consider a raise.\n[00:40 - 00:43] Speaker B: Let me think about it and I'll get back to you, okay?\n[00:43 - 00:46] Speaker A: Yeah, no problem. Thanks boss."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--420178.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Wow, it's so big!\n[00:01 - 00:05] Speaker B: Yes, the zoo is quite large. There are over 200 animals here.\n[00:06 - 00:16] Speaker A: Oh my gosh, I see a lion! Can we go see the big cats first? I've always wanted to see a lion up close and observe their majestic behavior in their natural habitat recreation.\n[00:09 - 00:13] Speaker B: Good idea! Let's get the map first. I can't wait to see the lion up close.\n[00:14 - 00:15] Speaker B: Of course. Follow me.\n[00:15 - 00:20] Speaker A: This is so amazing! I've never seen a lion up close before.\n[00:20 - 00:22] Speaker B: He's a beautiful animal, isn't he?\n[00:22 - 00:28] Speaker A: Yes, he is. Do you think he'll come over to the side of the enclosure where we can get a better look?\n[00:28 - 00:33] Speaker B: Maybe! Just remember, if you're quiet and don't make any sudden movements, he might come closer.\n[00:34 - 00:36] Speaker A: Oh, I'll be quiet as a mouse.\n[00:36 - 00:37] Speaker B: Good idea."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--481276.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Hey, do you know where the closest grocery store is? I'm new in town and feeling a little lost trying to find my way around and could really use some guidance from a local who knows the area well.\n[00:05 - 00:10] Speaker B: Oh, sure! It's just a few blocks down on 5th Street. Let me give you some directions.\n[00:10 - 00:15] Speaker A: Thank you so much! You're really kind. Do you live around here?\n[00:15 - 00:23] Speaker B: Yeah, I've lived here my whole life. It's a great neighborhood. There are lots of good places to eat nearby too, if you're looking for some recommendations, I can suggest a few.\n[00:24 - 00:31] Speaker A: Actually, I am! That would be awesome! I'm also looking for a job—do you know of any places hiring?\n[00:31 - 00:39] Speaker B: Well, there's the coffee shop on 4th Street that's always hiring. And there's also the bookstore down the street from there. They're always looking for part-time help.\n[00:40 - 00:46] Speaker A: Thank you so much! You've been such a big help already. I'm Audrie, by the way.\n[00:46 - 00:55] Speaker B: Nice to meet you, Audrie! I'm Denisse. Let me know if you need any more help settling in around here – it's always nice to have someone new to talk to in the neighborhood."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--888611.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Good morning, Jeremy. How are you today?\n[00:02 - 00:04] Speaker B: I'm doing well, thank you. How are you?\n[00:05 - 00:19] Speaker A: I'm good, thanks. Just trying to get a head start on my work for the day. I've got a lot on my plate, and I want to make sure everything is on track before the afternoon meeting when we'll need to present our progress to the entire team.\n[00:11 - 00:17] Speaker B: Sorry to jump in, but is there a specific deadline you're aiming for? Maybe I can help prioritize.\n[00:18 - 00:25] Speaker A: It's mainly for a project for the new client. It's a bit of a rush job, so I'm trying to get it done as quickly as possible.\n[00:25 - 00:28] Speaker B: That makes sense. Is there anything I can do to help you?\n[00:28 - 00:33] Speaker A: Thanks, but I think I've got it under control. I appreciate the offer, though.\n[00:33 - 00:36] Speaker B: No problem. Let me know if you need anything."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--14913.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: Mmmm, this apple is delicious! I can't believe how good it tastes, especially since I usually don't like apples this much - the perfect balance of sweetness and crispness makes it absolutely irresistible.\n[00:04 - 00:08] Speaker B: Sorry to jump in, but where did you get it? I've been looking for a place with good produce.\n[00:08 - 00:16] Speaker A: I got it from the grocery store down the street. They have really good produce there. Oh, and I was going to say the taste is just amazing.\n[00:17 - 00:21] Speaker B: That's definitely a good place to get apples then. Did you get any other fruit?\n[00:22 - 00:28] Speaker A: Yeah, I got a bunch of other stuff. They had some really good-looking oranges, so I got a few of those too.\n[00:29 - 00:32] Speaker B: Oranges are definitely a good choice. Did you get anything else?\n[00:33 - 00:40] Speaker A: I got some bananas and grapes. I was going to get some more apples, but I only had enough money for what I got.\n[00:40 - 00:44] Speaker B: That's still a lot of fruit. You must have spent quite a bit of money.\n[00:44 - 00:50] Speaker A: Yeah, it was around $20 or so, which I thought was a pretty good deal for the amount of fruit I got.\n[00:51 - 00:55] Speaker B: Wait, $20? That's actually pretty reasonable. Did you get any other groceries with that?\n[00:56 - 01:01] Speaker A: Just some basics like bread and milk. I didn't really need much else since I just moved here.\n[01:02 - 01:07] Speaker B: That makes sense. Moving can be expensive enough as it is without having to buy all new groceries on top of that."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--273875.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Mom, I'm so mad at Mia! She ate my homework and now I'm going to have to get a new set of papers and redo everything from scratch which will take me hours of work and I might even miss the deadline for submission.\n[00:05 - 00:11] Speaker B: Wait, why would you need a new dog just because Mia ate your homework? That doesn't make sense.\n[00:11 - 00:19] Speaker A: I'm mad because she ate my homework and now I have to redo everything. I was just so frustrated that I said I need a new dog.\n[00:20 - 00:24] Speaker B: That's understandable, but remember, Mia's just a dog. She didn't know any better.\n[00:25 - 00:28] Speaker A: But if she didn't eat my homework, I wouldn't be in this mess.\n[00:29 - 00:35] Speaker B: I get it, but being mad at Mia won't change what happened. Maybe we can find a way to keep your homework safe from now on."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--385442.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, I'm just trying to have some fun.\n[00:02 - 00:13] Speaker B: Yeah, but do you have to be so loud? You're disrupting the entire building, and people are starting to complain to the management about the constant noise and disturbance during late hours when most residents are trying to sleep.\n[00:05 - 00:14] Speaker A: Sorry to interrupt, but I just wanted to say, it's not just that you're loud, it's that you're always banging things around and making a mess.\n[00:14 - 00:26] Speaker B: Hey, I can't help it if I'm clumsy. Besides, it's not like anyone ever gets hurt or  any serious damage is done to the property, and I always clean up after myself eventually when I have the time and energy to do so properly.\n[00:27 - 00:36] Speaker A: I understand accidents happen, but the point is that you're making life difficult for everyone else in the apartment complex. Can't you try to be more considerate?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--477747.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I'm scared of growing old.\n[00:02 - 00:08] Speaker B: There's no need to be scared. Growing old is a natural process that happens to everyone.\n[00:08 - 00:20] Speaker A: But I feel like I've never really taken care of myself and now it's too late to start making changes that could have a significant impact on my long-term health and quality of life as I age.\n[00:13 - 00:23] Speaker B: I understand that feeling, but before we go further, have you ever considered talking to a professional about these concerns? Sometimes, discussing these fears with a therapist can provide a lot of clarity.\n[00:24 - 00:29] Speaker A: That's a good point, but I was going to say that it's too late to start making changes.\n[00:29 - 00:38] Speaker B: It's never too late to start taking better care of yourself. Even if you're in your 60s or 70s, you can still make lifestyle changes that will improve your health.\n[00:38 - 00:39] Speaker A: What should I do?\n[00:39 - 00:57] Speaker B: First, you should focus on eating healthy foods and exercising regularly. These things will help reduce your risk of developing chronic diseases like heart disease, stroke, and diabetes. You should also make sure to get enough sleep and manage stress, as these factors are equally important in maintaining your overall well-being.\n[00:57 - 01:02] Speaker A: I'm worried I won't be able to keep up with all of that. What if I fail?\n[01:02 - 01:15] Speaker B: It's okay to be scared. Change can be difficult. But you don't have to do it all at once. Just take it one step at a time and you'll eventually get there. And remember, seeing your doctor regularly for checkups and screenings can also guide you along the way."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--265976.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, Mom. I was wondering if you could give me a ride to the library later.\n[00:05 - 00:06] Speaker B: Why do you need to go to the library?\n[00:07 - 00:21] Speaker A: I need to return some books and pick up a few new ones for my research project about sustainable urban development, which is due next week. I also want to check out that new book on renewable energy technologies that just came in.\n[00:10 - 00:14] Speaker B: Wait, do you have any overdue books? I remember getting a notice last week.\n[00:14 - 00:35] Speaker A: Oh, no, I returned those already. I'm just picking up some new ones today. But actually, I was hoping to stop by the grocery store on the way home and pick up a few things like fresh vegetables, chicken, and some pantry staples for dinner tonight since I promised to cook. I noticed we're completely out of olive oil and eggs too.\n[00:36 - 00:45] Speaker B: Grocery store? Sure, that sounds fine. Since it's close to the library, it would be more efficient to just go there afterwards. Let me know when you're ready and we'll leave in a little bit."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--489519.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Jakhari, I need to tell you something. It's really important and I trust you not to share it with anyone else.\n[00:07 - 00:09] Speaker B: Of course, Lawson. What is it?\n[00:10 - 00:27] Speaker A: I'm worried about my mom. She's been really sick lately and the doctors don't know what's wrong with her. They've run a lot of tests but they can't find anything conclusive despite all their efforts, and her symptoms keep getting worse which makes me think they might be missing something serious that requires immediate attention.\n[00:18 - 00:25] Speaker B: Wait, Lawson, have they considered getting a second opinion from a specialist? Sometimes a fresh perspective can make a difference.\n[00:25 - 00:33] Speaker A: That's a good idea. I think my dad mentioned it, but we haven't decided yet. I'm just really scared that something might happen to her.\n[00:33 - 00:46] Speaker B: Oh, Lawson, I'm so sorry. That must be really tough for you. I can't even imagine how you must be feeling. But you know that your mom is a fighter and she's going to beat this whatever it is. And we're all here for you, no matter what happens. Okay?\n[00:47 - 00:51] Speaker A: Yeah. Thanks, Jakhari. I needed to hear that.\n[00:51 - 00:53] Speaker B: Of course, anytime."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--746047.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Dad, I've been thinking about this for a while and I've decided to convert to Islam.\n[00:05 - 00:15] Speaker B: Why Islam? What about the values we raised you with? Have you considered how this decision affects your relationship with the rest of the family and what challenges you might face in your social circles?\n[00:07 - 00:18] Speaker A: Christianity? I thought about it, but Islam just feels right. I feel a closer connection to the Islamic community and I believe in the tenets of the faith.\n[00:18 - 00:19] Speaker B: Have you been attending mosque?\n[00:20 - 00:32] Speaker A: Yes, I have. And I've been learning a lot. I'm really  starting to feel at peace with myself and my spirituality through the daily prayers and the sense of belonging I've found within the Muslim community.\n[00:32 - 00:37] Speaker B: Wait, how long have you been attending? I didn't realize this was something you were already so involved in.\n[00:38 - 00:42] Speaker A: I've been going for a few months now. I'm really excited about this change.\n[00:42 - 00:46] Speaker B: Well, son, if this is what you feel called to do, then we support you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1104244.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm sorry, I didn't mean to hurt your feelings.\n[00:03 - 00:04] Speaker B: Why would you say something like that?\n[00:05 - 00:10] Speaker A: I don't know. It just came out. I didn't mean it, I swear.\n[00:10 - 00:19] Speaker B: But why would you say it if you didn't think about how it would affect me? It feels like you didn't consider my feelings at all and that makes me question our friendship.\n[00:12 - 00:17] Speaker A: I just don't understand how you could say something so hurtful without meaning it. Can you explain?\n[00:18 - 00:21] Speaker B: I don't know! I feel really bad about it. Can you forgive me?\n[00:21 - 00:34] Speaker A: I don't know... this hurts a lot. You're supposed to be my friend and you just said something really hurtful  and I can't just forget it easily because trust takes time to rebuild after being broken like this.\n[00:34 - 00:39] Speaker B: You're right, and I deeply regret it. Please, Lily, can you forgive me? I'm so sorry."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--269886.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: I'm just so nervous. I don't know if I can do well under pressure, especially with everyone watching me and judging my every move when all I want is to perform at my best.\n[00:03 - 00:08] Speaker B: Hey, it's okay. Just take a deep breath and relax. You're doing great so far.\n[00:09 - 00:15] Speaker A: I don't know if I can answer these questions the way you want because sometimes I get flustered and lose my train of thought.\n[00:16 - 00:20] Speaker B: Don't worry about what I want. Just be honest and tell the truth. That's all you can do.\n[00:21 - 00:24] Speaker A: But what if they don't believe me? What if they think I'm lying?\n[00:24 - 00:33] Speaker B: Anwar, look at me. You're not going to get in trouble for telling the truth. I promise you that. Just relax and answer the questions the best you can, okay?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--243573.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I'm really happy with how this new air conditioning unit turned out. It's a big improvement from the old one.\n[00:07 - 00:13] Speaker B: That's great to hear! How did the installation go? Any issues with the wiring or ductwork during the process?\n[00:13 - 00:21] Speaker A: Sorry to jump in, but I just remembered—did you have to make any modifications to the existing setup to get the new unit installed?\n[00:22 - 00:37] Speaker B: No, it went pretty smoothly. I was able to get the new unit in place and connected without any problems. I've already tested it out and it seems to be cooling the room much more evenly than the old one did while also maintaining consistent temperatures throughout the entire space without any hot spots.\n[00:30 - 00:39] Speaker A: That's good to know. And how's the energy efficiency compared to the old unit? I'm curious if it will help lower our utility bills.\n[00:39 - 00:47] Speaker B: It should be more efficient, yes. I was going to mention that it's also quieter, which is a nice bonus. Thanks for taking care of this project, Novalee."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--508884.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey there. I couldn't help but notice that you look like you're struggling. Are you homeless?\n[00:05 - 00:23] Speaker B: Yes, I am. I've been homeless for a few months now and it's been really tough. I don't have any family or friends who can help me out, so I've been relying on the kindness of strangers. But it's hard to find consistent support and a safe place to stay especially during the winter months when temperatures drop dangerously low and basic necessities become even more scarce.\n[00:15 - 00:22] Speaker A: I'm sorry to interrupt, but I just wanted to ask, have you tried reaching out to any local shelters or organizations for help?\n[00:23 - 00:31] Speaker B: I have, but most of them are full or have long waiting lists. It's really discouraging. Anyway, you were saying something about finding people who are willing to help?\n[00:32 - 00:39] Speaker A: Well, I'm willing to help. I can offer you a place to stay for the night and some food to eat. Would that be helpful?\n[00:39 - 00:42] Speaker B: Oh, yes! That would be very helpful. Thank you so much!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1151383.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: This movie is so ridiculous. The characters are making all the wrong decisions.\n[00:05 - 00:10] Speaker B: What do you mean? What are they doing that's so wrong? I didn't catch anything too out of the ordinary.\n[00:11 - 00:29] Speaker A: Well, for starters, the guy is completely oblivious to the fact that the girl is interested in him. He's missing all the signs. And even when she finally tells him outright that she likes him, he still doesn't get it. I mean, come on! Any normal guy would have picked up on that from a mile away.\n[00:29 - 00:39] Speaker B: I see what you mean. But maybe he's just shy or unsure of himself. That can happen in real life too, especially if he's had bad experiences in the past or is afraid of rejection.\n[00:40 - 01:01] Speaker A: True, but then there's the way they're always bickering and fighting with each other. It's like they're not even trying to get along half the time. No wonder they keep breaking up and getting back together again. It's just unrealistic and frankly exhausting to watch these supposedly intelligent characters make the same mistakes over and over without any character development.\n[00:53 - 01:00] Speaker B: Well, I guess we all have our different opinions on what's realistic in a romantic comedy. But I still think it's a cute movie.\n[01:00 - 01:05] Speaker A: Yeah, it's not bad. I just wish they would have made the characters a little more believable."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--137471.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Wow, this place is amazing! I can't believe I'm actually here in Peru.\n[00:06 - 00:17] Speaker B: Yes, it is a very special country with a lot of history and culture. I'm glad you're enjoying your time here exploring the rich traditions and breathtaking landscapes that make Peru truly unique among travel destinations.\n[00:11 - 00:20] Speaker A: Sorry to jump in, but I just wanted to ask—do you have any recommendations for must-see places before I leave? I don't want to miss anything crucial.\n[00:21 - 00:31] Speaker B: Absolutely! You should definitely visit Machu Picchu if you haven't already. Also, the Sacred Valley is breathtaking. There's so much more to explore, but those are must-sees.\n[00:31 - 00:41] Speaker A: I definitely am! I've already seen so many incredible things and I feel like I've only just scratched the surface. Your country has such a fascinating past.\n[00:41 - 00:53] Speaker B: Thank you, we are very proud of our heritage. There is so much to learn about Peru and its people. I hope you have the opportunity to explore more while you are still here, especially some of the lesser-known sites that are equally amazing.\n[00:53 - 01:02] Speaker A: Oh, I definitely plan to! And Diego, thank you so much for all your help and advice along the way. You've been a great tour guide.\n[01:02 - 01:08] Speaker B: You're welcome, Rooney. It has been my pleasure to show you around Peru. I hope you have a safe and enjoyable journey home."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--649949.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: I just don't get it. I mean, I studied and every time I think I understand, something new comes up that confuses me about the complex political and economic factors that led to the revolutionary movement gaining momentum among the colonists despite their previous loyalty to the British crown.\n[00:10 - 00:14] Speaker B: Yeah, I don't get it either. What was the point of the American Revolution?\n[00:14 - 00:18] Speaker A: I don't know. To gain independence from Britain or something?\n[00:19 - 00:23] Speaker B: But why? I mean, they seemed like they had things pretty good. Why give that up?\n[00:23 - 00:27] Speaker A: Beats me. Maybe they were just tired of being under British rule?\n[00:28 - 00:36] Speaker B: That must have been it. But it seems like such a big price to pay. All those people dying for a cause that maybe not everyone fully understood at the time.\n[00:36 - 00:42] Speaker A: You know, I was thinking the same thing. It's like, was it really worth all that sacrifice?\n[00:42 - 00:45] Speaker B: Yeah, I guess so. It's all kind of confusing.\n[00:46 - 00:49] Speaker A: Yeah. Maybe we should ask the teacher about it tomorrow.\n[00:50 - 00:50] Speaker B: Good idea."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--233660.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: I'm so nervous about my date tonight. I don't know what to wear or what to say to make a good impression, especially since we're going to that fancy new Italian restaurant downtown that everyone's been raving about.\n[00:04 - 00:11] Speaker B: Sorry, but have you thought about what kind of vibe you want to go for? Like, do you want to be casual or a bit more dressed up?\n[00:11 - 00:27] Speaker A: That's a good point. I was thinking of something casual but still cute. But what if he doesn't think it's good enough or if he prefers something more formal, like a nice dress or maybe even a stylish pantsuit that shows off my personality while still looking put together?\n[00:26 - 00:32] Speaker B: If he doesn't like you for being yourself, then he's not worth your time. You deserve someone who appreciates you for who you are.\n[00:33 - 00:36] Speaker A: Thanks, Dyani. Talking to you always makes me feel better.\n[00:37 - 00:39] Speaker B: Anytime, girl. Now go get 'em!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--421624.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, boss.\n[00:01 - 00:03] Speaker B: Hey, Jaylani. How are you doing?\n[00:04 - 00:09] Speaker A: I'm doing alright. I was actually hoping to talk to you about something.\n[00:09 - 00:10] Speaker B: Sure, what's up?\n[00:10 - 00:29] Speaker A: Well, I was wondering if there might be any chance of me being transferred to a different location. I've been wanting to move for a while now and when this opportunity came up, I thought it would be a good time to make a change and explore new challenges in a different environment that could help me grow both professionally and personally.\n[00:22 - 00:30] Speaker B: Sorry to interrupt, but when you say \"move,\" are you considering a specific city or region? It might help narrow down the options.\n[00:30 - 00:37] Speaker A: Yes, I'm actually thinking about moving to the West Coast. I believe there are a few branches there that might have openings.\n[00:37 - 00:46] Speaker B: Let me see what I can do. I'll talk to HR and see if there are any open positions at other locations that you could transfer to. I'll get back to you as soon as possible."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--869501.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey Blakely, I heard you said some pretty messed up things about me behind my back.\n[00:05 - 00:17] Speaker B: Yeah, what of it? I was just telling the truth. You're a mess and everyone thinks so because they've seen how you handle situations and how unreliable you've been when it really matters. They just don't have the guts to say it to your face.\n[00:09 - 00:14] Speaker A: I don't care what you think. But I'm going to have to teach you a lesson for running your mouth.\n[00:15 - 00:17] Speaker B: Oh yeah? What are you gonna do?\n[00:17 - 00:30] Speaker A: I'm going to beat the crap out of you until you learn some manners and basic human decency, because clearly no one ever taught you how to treat people with respect or how to keep your toxic opinions to yourself.\n[00:29 - 00:33] Speaker B: Respect? You think beating me up is going to earn you respect? You're delusional!\n[00:34 - 00:39] Speaker A: Stay down! That's what you get for talking smack about me behind my back!\n[00:39 - 00:42] Speaker B: Screw you, man! I'll never respect you!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1166623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Good afternoon, Ms. Smith.\n[00:01 - 00:04] Speaker B: Good afternoon, Sidra. How are you today?\n[00:04 - 00:10] Speaker A: I'm doing well, thank you. I just wanted to ask a question about the homework assignment from last night.\n[00:11 - 00:19] Speaker B: Sure, what's your question about the assignment? I'd be happy to clarify any confusion you might have regarding the instructions or the concepts we covered in class yesterday.\n[00:12 - 00:20] Speaker A: Sorry to interrupt, but I was really confused about the second part of the assignment. Could you explain that part specifically?\n[00:21 - 00:28] Speaker B: Of course, let me take a look at it real quick. Okay, I see what you're struggling with. Let's work through it together and see if we can figure it out.\n[00:29 - 00:30] Speaker A: Thank you, Ms. Smith.\n[00:30 - 00:37] Speaker B: No problem, that's what I'm here for. Let's see if we can get you caught up on this assignment so you can be confident going into the test next week.\n[00:38 - 00:43] Speaker A: Oh, and I just realized, the test next week—will it cover similar problems?\n[00:43 - 00:54] Speaker B: Yes, it will, which is why it's important to understand this now. Let's focus on this so you're fully prepared for  the test and any future assignments that build upon these fundamental concepts we're covering today."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--203528.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: So, John, what kind of website are you looking for? Are you looking for something simple and clean, or something more dynamic with interactive features like animated elements, user login capabilities, and real-time data visualization options?\n[00:06 - 00:16] Speaker B: I'm not really sure. I just know that I need a website for my business, but I guess I should think about whether I want it to be more visually appealing or straightforward. What do you suggest?\n[00:16 - 00:35] Speaker A: Okay, well let's start with something simple then and we can always add more features later if you want. Do you have any ideas about what kind of content you would like on your\n[00:36 - 00:47] Speaker B: Actually, before we dive into the content, I was wondering—how much flexibility will I have to update the website on my own? I want to make sure I can easily add new information or photos as my business grows.\n[00:48 - 01:00] Speaker A: Absolutely, that's an important consideration. We can set it up so that you have full control over updates, and we'll make sure it's user-friendly. As for the content, you mentioned basic information and pictures, right?\n[01:01 - 01:05] Speaker B: Yes, just some basic information about my business and maybe some pictures.\n[01:05 - 01:14] Speaker A: That sounds like a good starting point. Why don't we go ahead and put together a basic layout with that information and we can add more details later on?\n[01:14 - 01:17] Speaker B: That sounds great. Thank you so much for your help, Ali!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--627283.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: I'm so glad I was able to find a job here in Paris. This city is just beautiful with its stunning architecture, vibrant culture, and charming cafes that seem to be around every corner, each with their own unique character and history.\n[00:08 - 00:21] Speaker B: Thank you, Mallory. We're happy to have you on our team. So, tell me a little bit about your experience as a waitress, especially in busy environments like this one where we often have to manage large crowds during peak hours while maintaining excellent service standards.\n[00:22 - 00:47] Speaker A: Well, I've been working as a waitress for about six years now. I've worked in both restaurants and cafes. I've had a lot of experience taking orders and serving customers. And I just love the work itself. It's really fulfilling to make someone's day by providing great service and  a positive dining experience that they'll remember fondly and want to come back for, which is ultimately what builds customer loyalty and success for any establishment.\n[00:48 - 00:59] Speaker B: Sorry to cut in, but I'm curious—how do you handle difficult customers? It's something we encounter from time to time here, especially during the busy tourist seasons when people might be tired or stressed from traveling.\n[00:59 - 01:16] Speaker A: Handling difficult customers is definitely part of the job. I usually try to stay calm and listen to their concerns. It's important to make them feel heard and to find a solution that satisfies them while also maintaining the restaurant's policies and standards of service."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--737726.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: So, I've been having this cramp in my right leg for a few days now. It's really starting to bother me, especially when I try to sleep at night and sometimes it even wakes me up with sharp, shooting pains that last for several minutes.\n[00:05 - 00:10] Speaker B: Sorry to interrupt, but have you been doing any physical activity or exercises that might have caused this?\n[00:11 - 00:14] Speaker A: Not really, I've been mostly resting. It's in my calf.\n[00:15 - 00:18] Speaker B: Okay, let me feel it. Is it tender when I press here?\n[00:19 - 00:21] Speaker A: Yes! That's exactly where it hurts!\n[00:21 - 00:33] Speaker B: Well, I think we can definitely help you with that. Massage can help improve blood circulation and loosen up the muscles. We'll start with some Swedish massage and see how it affects the pain before considering any other treatments.\n[00:33 - 00:40] Speaker A: Actually, I was wondering, should I be doing any stretches or exercises to help prevent this from happening again?\n[00:40 - 00:58] Speaker B: Absolutely, we can go over some stretching routines after the massage that might help with that. But as I was saying, if you need more targeted work, we can always do  deep tissue or trigger point therapy later on which would focus specifically on releasing those stubborn knots and tension points that might be contributing to your recurring cramps.\n[00:58 - 01:02] Speaker A: Yes, that sounds great! Thank you so much!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--776571.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, can I get a medium latte with two pumps of vanilla and one pump of caramel?\n[00:05 - 00:08] Speaker B: Sure thing! That'll be $4.50.\n[00:08 - 00:09] Speaker A: Here you go.\n[00:09 - 00:11] Speaker B: Thanks! So, how's your day going?\n[00:11 - 00:25] Speaker A: It's going good. I just got out of my last class and I'm getting coffee before I head to meet up with a friend to study for an exam that's coming up next week. We're planning to go over some key concepts and practice problems together at the library.\n[00:17 - 00:22] Speaker B: Oh, what class did you just finish? Was it something related to your internship at the law firm?\n[00:23 - 00:36] Speaker A: Actually, it was. It was a class on contract law, which ties in nicely with my work. I'm an intern at a law firm, and it's really cool, but it's a lot of work. But I'm learning a lot and it's a great experience.\n[00:36 - 00:41] Speaker B: Wow, that sounds like an amazing opportunity! How long have you been interning there for?\n[00:42 - 00:44] Speaker A: I've been interning there for about two months now.\n[00:45 - 00:48] Speaker B: That's great! I'm sure you're learning a lot.\n[00:48 - 00:53] Speaker A: Yeah, I am. It's a lot of work, but it's worth it.\n[00:54 - 00:56] Speaker B: Well, I hope you have a great day! Thanks for coming in!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--211161.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Hi, Destanee. I'm Alycia. I noticed you're new here and thought I'd say hi.\n[00:07 - 00:15] Speaker B: Hey, Alycia. Yeah, I just moved here a couple weeks ago. It's been kind of tough getting used to a new school, but it's been okay so far.\n[00:15 - 00:33] Speaker A: I know how you feel. I've had to switch schools a few times myself. It can be really tough at first, but you'll get used to it eventually. So, what do you like to do in your free time when you're not adjusting to the new school environment? Maybe we have some common interests that could help you settle in faster.\n[00:25 - 00:33] Speaker B: Sorry, before I answer that, can I ask if there are any clubs or activities here that you'd recommend? I'm trying to find ways to meet new people.\n[00:34 - 00:45] Speaker A: Oh, definitely! There's a really active book club here that I think you'd enjoy, especially since you mentioned you like to read. But I was going to ask what genres you're into?\n[00:45 - 00:53] Speaker B: I like to read and write. I'm really into fantasy and science fiction, so I like to read a lot of books in those genres. And I like to write stories too.\n[00:53 - 01:02] Speaker A: That sounds great! I love to read and write too. In fact, I write stories all the time. Maybe we could exchange some of our work sometime?\n[01:03 - 01:04] Speaker B: Yeah, that would be cool!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--974933.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: I've been thinking a lot lately about my life and the way I've been handling my relationships and choices, especially how my actions might be affecting my emotional well-being and self-worth in the long run.\n[00:03 - 00:07] Speaker B: What do you mean? Are you talking about your relationships or something else?\n[00:08 - 00:15] Speaker A: Yeah, I've been sleeping around with a lot of different people and I don't feel good about it anymore. I want to change that.\n[00:16 - 00:20] Speaker B: Why? What's wrong with the way you're living if it's not making you happy?\n[00:20 - 00:26] Speaker A: It's just not satisfying anymore. I feel like there's more to life than just sleeping with different people.\n[00:27 - 00:29] Speaker B: So, what are you planning to do differently?\n[00:29 - 00:39] Speaker A: I'm going to start being more selective about who I sleep with. I want to make sure that I'm really attracted to them and that there's a connection there before anything happens.\n[00:40 - 00:45] Speaker B: That sounds like a good plan. I think you'll be happier if you're more selective about your partners.\n[00:45 - 00:56] Speaker A: Yeah, I think so too. I'm just tired of feeling like a piece of meat that everyone can use and then throw away. I want to make sure that I'm with someone who really cares about me.\n[00:57 - 00:59] Speaker B: I think that's a great idea. Good luck with it!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--277060.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:18] Speaker A: I don't understand why people are always drawn to negativity and drama instead of positivity and happiness. It just doesn't make sense to focus so much on what's wrong when there's so much good around us that we could be celebrating and appreciating every single day if we just shifted our perspective slightly.\n[00:08 - 00:16] Speaker B: Sorry to jump in, but do you think it might have something to do with the way media portrays things? It seems like negativity gets more attention because it sells more.\n[00:17 - 00:35] Speaker A: That's a good point. Media does play a huge role in shaping our perceptions. But I think it also has to do with the way we're wired as humans. We're constantly seeking out ways to improve our lives, and unfortunately, negativity and drama often seem more exciting than positivity and happiness.\n[00:36 - 00:47] Speaker B: But why is that? Why can't we just focus on\n[00:49 - 01:06] Speaker A: —on the good things in life? I think it's because we're always looking for ways to grow and learn. When something negative happens, it forces us to examine our own lives and see where we can improve. With positive things, there's often not as much opportunity for growth or learning.\n[01:06 - 01:12] Speaker B: I see what you mean. But don't you think that focusing on the negative all the time is just going to make us more unhappy?\n[01:12 - 01:24] Speaker A: Yes, I definitely think that's true. But I also think that if we can find a balance between focusing on the positive and the negative, then we can really start to create lasting happiness in our lives."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--322914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Why would you do something like this to me? I thought we were friends.\n[00:04 - 00:17] Speaker B: I'm sorry, Malek. I didn't mean to hurt you. I was just trying to help out my cousin who was in a really tough spot and needed immediate assistance with medical bills after his accident, and I panicked when I couldn't think of another solution quickly enough.\n[00:08 - 00:14] Speaker A: But why did you think that helping your friend had to come at my expense? Couldn't you find another way?\n[00:14 - 00:19] Speaker B: You could have helped your friend without hurting me in the process. I don't understand why you did this.\n[00:19 - 00:35] Speaker A: I was just trying to do what I thought was best for everyone involved. I'm sorry if it  seemed like I didn't consider your feelings or the consequences of my actions, but I was under tremendous pressure and made a terrible judgment call in the heat of the moment.\n[00:35 - 00:40] Speaker B: I get that you had good intentions, but you should have considered the impact on our friendship.\n[00:40 - 00:47] Speaker A: Well, it did hurt me. I trusted you and you betrayed that trust. I don't know if I can ever forgive you for this.\n[00:48 - 00:54] Speaker B: I understand how you feel, Malek. I'm truly sorry for what I did. I hope someday you can forgive me."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--556060.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:21] Speaker A: Honey, I was just in the living room and I heard a noise coming from outside. I went to investigate and it looks like a branch has fallen on the roof of our house. I'm so upset because I know we'll have to pay to have the branch removed and the damage might be worse than it looks from here, especially considering how old our roof is and how heavy that branch appears to be.\n[00:15 - 00:23] Speaker B: Oh, no! That's not good. Do you think the damage is significant? I mean, if it's just a few punctures, maybe it won't be as expensive as we fear.\n[00:24 - 00:37] Speaker A: I'm not sure. I can't really tell from down here. But it looks like the branch has punctured the roof in several places, and I'm worried it might have caused more structural damage that could compromise the integrity of the entire roof system.\n[00:36 - 00:43] Speaker B: Wait, did you already check if it's safe to go up there? I'm worried it might be dangerous if the roof is unstable.\n[00:43 - 00:56] Speaker A: I didn't go up; I just looked from the ground. But you're right, we should be careful. I'll call a few people and get some estimates for repairs. In the meantime, try not to worry about it too much, okay?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--815822.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: So, I wrote a letter to the editor of our local paper about the animal abuse that's been going on.\n[00:06 - 00:15] Speaker B: Really? What made you do that? Was there a specific incident that pushed you to take action or was it more of a gradual buildup of frustration over time?\n[00:08 - 00:16] Speaker A: I just couldn't stand seeing animals being treated so badly and not doing anything about it. If we don't speak up for them, who will?\n[00:17 - 00:28] Speaker B: That's true. But it takes a lot of courage to put your beliefs out there like that, especially in a public forum where you might face criticism from people who don't share your views or understand the severity of the situation.\n[00:28 - 00:38] Speaker A: I know it's not easy, but if we want to make a difference, we have to be willing to stand up for what we believe in and be vocal about it. Otherwise, nothing will change.\n[00:38 - 00:44] Speaker B: You're right. We need more people like you who are willing to speak out and fight for what's right. Thank you for doing this."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1122880.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: You're always one step ahead, aren't you?\n[00:02 - 00:14] Speaker B: Not always. But I try to anticipate potential challenges before they arise by carefully analyzing patterns and considering multiple scenarios which helps me develop effective contingency plans for various situations.\n[00:09 - 00:13] Speaker A: Speaking of trying, how do you manage to stay so focused all the time?\n[00:13 - 00:17] Speaker B: It's a good quality to have. Always being prepared and knowing what you want.\n[00:17 - 00:21] Speaker A: It can be helpful, but it can also be a lot of pressure.\n[00:21 - 00:25] Speaker B: Pressure is good. It keeps you sharp and motivates you to push your limits.\n[00:25 - 00:30] Speaker A: But don't you think too much pressure can lead to burnout? How do you balance that?\n[00:30 - 00:36] Speaker B: That's true. But sometimes it feels like there's no room for error when you're constantly under pressure.\n[00:36 - 00:42] Speaker A: That's just part of life. You have to learn to roll with the punches and keep moving forward.\n[00:42 - 00:43] Speaker B: That's easier said than done.\n[00:44 - 00:46] Speaker A: Not if you have the right mindset."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--338268.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:14] Speaker A: The queen is worth the most points, but the king is obviously the most important because if he gets captured, then you lose the game immediately regardless of how many other pieces you have remaining on the board or what position you're in.\n[00:07 - 00:10] Speaker B: Wait, so if the king is captured, the game ends immediately, right?\n[00:11 - 00:18] Speaker A: Yes, exactly. The game ends immediately, and you lose. So it sounds like strategy is really important in this game.\n[00:19 - 00:27] Speaker B: Yeah, it definitely is. There are a lot of different ways to win, and you have to be very careful with your moves because one wrong move can cost you the game.\n[00:27 - 00:32] Speaker A: This sounds like a really challenging and fun game! I'd love to try it sometime."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--460378.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:11] Speaker A: Hey, do you want to go for a walk with me? I need to get some fresh air and clear my head after spending the entire morning stuck in meetings and staring at my computer screen without a break.\n[00:04 - 00:11] Speaker B: Sorry to cut in, but I was just thinking, do you have a specific route in mind? I was hoping we could go somewhere with a bit more greenery.\n[00:11 - 00:20] Speaker A: That sounds good. I was thinking of heading towards the park, actually. It's so nice out today. I wish we could go hiking or something.\n[00:21 - 00:27] Speaker B: Yeah, that would be great. I love hiking. It's such a great way to get some exercise and see nature at the same time.\n[00:28 - 00:34] Speaker A: Exactly! And it's so peaceful being out in nature, away from all the hustle and bustle of the city.\n[00:35 - 00:41] Speaker B: Yes, definitely. Sometimes I feel like I need to get away from everything and just breathe in some fresh air.\n[00:41 - 00:47] Speaker A: I know what you mean. Well, maybe we can go hiking next weekend if the weather is nice.\n[00:47 - 00:53] Speaker B: Oh, speaking of next weekend, do you think we should invite anyone else? It might be fun to go as a group.\n[00:54 - 01:05] Speaker A: That could be fun. I was just going to say we could bring our cameras and take some  pictures while we're out there to capture the beautiful scenery and maybe even spot some wildlife if we're lucky enough."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--667784.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:17] Speaker A: Good morning. I see that it's snowing outside. I was really looking forward to going to the beach today, but it doesn't seem like that will be possible with this weather, but maybe we can find something else fun to do indoors like visiting that new museum exhibition or trying out that board game cafe downtown.\n[00:07 - 00:12] Speaker B: Actually, have you checked the weather forecast? It might clear up later in the day.\n[00:12 - 00:25] Speaker A: It doesn't look like that is going to happen. I think I'm just going to go back to bed and relax for a bit while listening to some calming music and enjoying the cozy atmosphere of my warm blankets during this snowy morning.\n[00:28 - 00:33] Speaker B: Before you do that, maybe we should have some breakfast first? It might help lift your mood.\n[00:33 - 00:37] Speaker A: Well, I'm going to make breakfast. Do you want anything?\n[00:37 - 00:40] Speaker B: No, I don't think so. I'm not really hungry right now.\n[00:40 - 00:43] Speaker A: Okay. I'll bring you something later then."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--29858.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: I'm sorry man, I know I fucked up. I shouldn't have lied to you about the robbery, but I was just trying to avoid getting into more trouble than I already was by keeping you out of it completely since you weren't involved in the first place.\n[00:06 - 00:13] Speaker B: Protect yourself? That's what you always say. But why should I believe you? You've lied to me in the past and now I can't trust you anymore.\n[00:13 - 00:30] Speaker A: Look, I know I've fucked up in the past, but this time I'm telling the truth. The surveillance footage doesn't show  the whole story because the camera angle was blocked during the most crucial moments, and I need you to hear me out before jumping to conclusions about what actually went down that night.\n[00:31 - 00:35] Speaker B: What really happened? Lora, you're a liar and a thief. I can't trust anything you say."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1186623.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, what do you think of the movie so far?\n[00:02 - 00:15] Speaker B: It's okay, I guess. I'm not really sure what's going on, but it's visually complex, with so many layers of symbolism that it's hard to keep up, especially with the recurring motifs of water and mirrors that seem to represent the protagonist's fractured psyche.\n[00:06 - 00:13] Speaker A: Stunning, right? The cinematography is just breathtaking. But yeah, the plot can be a bit hard to follow.\n[00:13 - 00:16] Speaker B: Exactly. I just wish I could follow it a bit better.\n[00:17 - 00:24] Speaker A: Yeah, me too. But like you said, the visuals are really engaging, and they kind of make up for the confusing storyline.\n[00:24 - 00:28] Speaker B: Incredible, absolutely. This film is definitely one of a kind.\n[00:29 - 00:32] Speaker A: For sure. I'm really glad we decided to see it.\n[00:32 - 00:35] Speaker B: Yeah, me too. Thanks for suggesting it.\n[00:36 - 00:38] Speaker A: No problem. I thought you might like it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--44625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: No, it's okay. I've got this. You just relax and let me take care of dinner tonight.\n[00:05 - 00:12] Speaker B: Are you sure? I don't mind helping out if you need an extra hand with the cooking or maybe even just keeping you company while you work your magic in the kitchen.\n[00:07 - 00:12] Speaker A: I'm positive. Why don't you go sit down and I'll bring you a glass of wine in a few minutes?\n[00:13 - 00:20] Speaker B: Actually, before you do that, are you sure you don't need help with anything at all? I mean, setting the table or maybe chopping some vegetables?\n[00:20 - 00:26] Speaker A: No, really, I've got everything under control. Just sit back and relax. I'll handle it all.\n[00:27 - 00:29] Speaker B: That sounds perfect. Thank you, Jamarian.\n[00:30 - 00:32] Speaker A: You're welcome. I'll be right back.\n[00:32 - 00:36] Speaker B: No rush. I'm enjoying watching you cook. You're really good at it.\n[00:37 - 00:44] Speaker A: Thanks. I love cooking, so it's always a pleasure to do it for someone else. Especially when that someone is as beautiful as you are.\n[00:45 - 00:47] Speaker B: Thank you, Jamarian. You're sweet."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--615914.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Thanks for agreeing to meet with me, Maria. I really appreciate it.\n[00:04 - 00:18] Speaker B: It's no problem. I know you're looking for information on the city and I can help you out. But it's going to take some time and resources to gather everything you need, including accessing restricted archives and verifying the authenticity of documents, so it won't be cheap.\n[00:10 - 00:14] Speaker A: How much are we talking about here? I need to know if I can afford this.\n[00:15 - 00:16] Speaker B: 10,000 euros.\n[00:17 - 00:20] Speaker A: 10,000 euros?! That's a lot of money.\n[00:20 - 00:33] Speaker B: You're not the only one looking for information. And what I have is worth  every penny because it's highly detailed and hard to come by, containing classified government records and insider knowledge that could change your entire perspective on the city's history.\n[00:33 - 00:39] Speaker A: Alright, I understand. I'll give you the money. But you have to promise me that the information is good.\n[00:40 - 00:42] Speaker B: It's good, I promise. You won't be disappointed."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--403013.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Kamilla, I want to talk to you about something important.\n[00:03 - 00:06] Speaker B: What is it, Macyn? Is everything okay?\n[00:06 - 00:11] Speaker A: Everything is fine. I just wanted to talk to you about being more careful with your things.\n[00:12 - 00:20] Speaker B: What do you mean? I am careful with my things. I don't take them for granted and always make sure to keep track of my belongings because I understand how valuable they are to me.\n[00:15 - 00:23] Speaker A: I understand that, but I noticed last week that you left your laptop out in the open at the café. What if someone had taken it?\n[00:23 - 00:28] Speaker B: Oh, I didn't even think about that. You're right. I'll be more cautious with where I leave my things.\n[00:29 - 00:35] Speaker A: I know you're not taking them for granted, but sometimes you might not realize how lucky you are to have them.\n[00:35 - 00:36] Speaker B: What do you mean?\n[00:36 - 00:56] Speaker A: Well, think about it. You have a lot of nice things - more than most people have. And it's important to be grateful for what you have. But sometimes people can take their things for granted and not appreciate them as much as they should, especially when it's easy to replace them without considering the effort and resources that went into acquiring them in the first place.\n[00:55 - 01:02] Speaker B: I get what you're saying now. It's not just about being careful, but also about recognizing how fortunate I am. I'll definitely work on that.\n[01:03 - 01:06] Speaker A: Thank you, Kamilla. I know you'll do great."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--374749.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, can I read your love letters from Ryan?\n[00:03 - 00:09] Speaker B: Yeah, sure. What do you want to know? I don't mind sharing, but some of it might be a bit personal.\n[00:10 - 00:17] Speaker A: I just want to understand what it is that makes him so special. From reading your letters, maybe I can figure it out.\n[00:17 - 00:20] Speaker B: Okay. Let me know if you have any questions.\n[00:20 - 00:27] Speaker A: In your first letter, you talk about how much you love his sense of humor. Is that still one of the things you love about him?\n[00:28 - 00:46] Speaker B: Absolutely! He always knows how to make me laugh, even when I'm having a bad day. Plus, he's not afraid to be silly and have fun. That's one of the things that first attracted me to his personality. It's rare to find someone who can be both lighthearted and serious when needed, and Ryan balances those qualities perfectly in a way that makes every day with him feel special.\n[00:37 - 00:45] Speaker A: It sounds like he really makes you feel good about yourself. Like you can just be yourself around him and he accepts you for who you are.\n[00:45 - 00:54] Speaker B: Yes! That's exactly it! I don't feel like I have to put on a show or pretend to be someone else with him. He knows all my quirks and imperfections and he still loves me anyway.\n[00:54 - 00:57] Speaker A: That must be really refreshing for you.\n[00:57 - 01:00] Speaker B: It is. I've never felt so comfortable with anyone before.\n[01:00 - 01:08] Speaker A: In your second letter, you talk about how much you admire his ambition and drive. Has that been something that's important to you in a partner?\n[01:08 - 01:18] Speaker B: Yeah, definitely. Ryan is always striving to be better and he's not afraid of hard work. He's motivated and determined, and he knows what he wants in life. I find that really attractive."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--209436.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Sarah. I've been meaning to talk to you about something.\n[00:04 - 00:04] Speaker B: What's up?\n[00:05 - 00:09] Speaker A: I'm thinking about going back to school to get my degree in accounting.\n[00:09 - 00:21] Speaker B: That sounds like a great idea! I think you would be really good at balancing the coursework with your current job since you're so organized and disciplined, which are essential qualities for succeeding in both work and school simultaneously.\n[00:12 - 00:21] Speaker A: Do you really think so? I've been a bit nervous about whether I can handle the coursework, especially since it's been a while since I was in school.\n[00:21 - 00:28] Speaker B: Of course, I do! You've always been great with numbers and problem-solving. Plus, you're so determined when you set your mind to something.\n[00:29 - 00:39] Speaker A: Yeah, I've been thinking about it for a while and I'm just ready for a change. Plus, it would be nice to have a degree in something that could actually help me get a better job.\n[00:39 - 00:42] Speaker B: Absolutely. So when do you think you'll start?\n[00:42 - 00:50] Speaker A: As soon as possible. I've already looked into some schools and I found one that has an accelerated program that I can do online.\n[00:50 - 00:57] Speaker B: That sounds perfect! You'll be able to get your degree without having to quit your job or worry about commuting to classes every day.\n[00:57 - 01:03] Speaker A: Exactly, that's one of the biggest reasons I chose this program. I need to keep working while I study.\n[01:04 - 01:08] Speaker B: And since it's online, you can do it at your own pace and still have time for your other commitments.\n[01:09 - 01:15] Speaker A: Yeah, it's really flexible. I'm excited but also a little anxious about juggling everything.\n[01:16 - 01:21] Speaker B: That's great! I'm really happy for you, Damonte. This is going to be a great new adventure for you!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1047480.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, it's okay. I'm here.\n[00:02 - 00:03] Speaker B: I'm scared.\n[00:03 - 00:04] Speaker A: Of what?\n[00:05 - 00:14] Speaker B: I don't know. Everything just feels so weird and out of control, like I can't keep up with anything anymore and it's making me question all my decisions from the past few months.\n[00:08 - 00:19] Speaker A: Uncertain? I get it. But hey, look at me. I'm not going anywhere, alright? We'll figure this out together. Just breathe, okay? In and out. That's it. Good job.\n[00:19 - 00:25] Speaker B: It's just all so overwhelming. I feel like I can't do anything right, no matter how hard I try.\n[00:25 - 00:36] Speaker A: Right now? You don't have to do everything perfectly. You're doing great. I'm proud of you for holding on as long as you have been. We'll get through this together, I promise."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--343780.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, I think I know how to fix that computer.\n[00:03 - 00:05] Speaker B: Really? Come up and take a look then.\n[00:05 - 00:17] Speaker A: Um...actually, never mind. I don't think I can figure out what's wrong with it after all because the error messages are showing codes I've never encountered before and the hardware seems more complex than I anticipated.\n[00:09 - 00:12] Speaker B: Wait, why would you say you could fix it if you didn't know how?\n[00:13 - 00:15] Speaker A: I don't know. I just thought maybe I could do it.\n[00:16 - 00:26] Speaker B: That's not a good enough answer. You wasted my time and now the class is running behind because of this unexpected delay and we'll have to postpone the important lesson we were supposed to cover today.\n[00:29 - 00:32] Speaker A: I'm really sorry. I didn't mean to cause any trouble.\n[00:32 - 00:36] Speaker B: I'm sorry too, but this can't happen again. Now get back to your seat."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--566903.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how are you doing today?\n[00:02 - 00:11] Speaker B: I'm doing alright. Just a little overwhelmed with everything going on lately between work deadlines, family commitments, and trying to find some personal time for myself.\n[00:03 - 00:07] Speaker A: Tired? Yeah, I can imagine. You've been working hard lately.\n[00:08 - 00:11] Speaker B: Yeah, I have. But it's all worth it in the end.\n[00:11 - 00:15] Speaker A: Absolutely. So, what do you have planned for today?\n[00:15 - 00:26] Speaker B: Well, I was thinking about going to the park with the kids. Then maybe getting some groceries  if I have enough time after the park visit, though we might need to make it a quick trip since the kids have soccer practice later this afternoon.\n[00:27 - 00:32] Speaker A: Oh, do you need any help with the groceries? I could pick up a few things on my way home.\n[00:32 - 00:34] Speaker B: That would be great! Thanks, Zamir.\n[00:35 - 00:37] Speaker A: No problem, Sarah. I love you.\n[00:37 - 00:39] Speaker B: I love you too, Zamir."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--399572.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Eason, I'm going to leave you if you don't do what I want.\n[00:03 - 00:16] Speaker B: What? No, please don't leave me! I'll do anything you want, just please don't make this harder for me because I genuinely care about our relationship and can't imagine my life without you in it. I promise I'll change everything about myself if that's what it takes.\n[00:08 - 00:14] Speaker A: Wait, before you say anything else, are you sure you're willing to do anything? This isn't just about lunch money.\n[00:15 - 00:17] Speaker B: Yes, Danica. Anything you want. Just please don't leave me.\n[00:18 - 00:22] Speaker A: Good, then you will give me your lunch money every day and do my homework for me.\n[00:23 - 00:25] Speaker B: Yes, Danica. Anything you want. Just please don't leave me.\n[00:26 - 00:28] Speaker A: And you will also give me your allowance.\n[00:29 - 00:33] Speaker B: Yes, Danica. But what about the other thing you mentioned earlier? What else do you want me to do?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--828152.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: So, what were some of your favorite books growing up?\n[00:03 - 00:15] Speaker B: I loved the Harry Potter series, obviously. But I also really enjoyed The Hunger Games and the way it portrayed a dystopian society with such vivid detail and complex characters that really made you question power structures and human nature.\n[00:08 - 00:17] Speaker A: Oh, The Hunger Games! That was such an intense series. I remember being on the edge of my seat the whole time. How did you feel about the ending?\n[00:18 - 00:28] Speaker B: The ending was definitely surprising, but I think it made sense for Katniss's character arc. By the way, I also really liked Divergent—especially the way it handled the concept of factions.\n[00:28 - 00:35] Speaker A: Divergent was great too! But speaking of Katniss, do you think her decisions in the last book were justified?\n[00:35 - 00:44] Speaker B: Absolutely, though they were tough decisions. But going back to Divergent, I think the way the series explored identity and society was really thought-provoking."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--338555.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: Hey Keishawn, I saw what you did and I don't approve. You need to stop going into the girls' locker room without permission because it's a serious violation of their privacy and could potentially lead to disciplinary actions or even legal consequences.\n[00:06 - 00:10] Speaker B: Why are you making such a big deal out of this? It's just a locker room.\n[00:10 - 00:13] Speaker A: It's not appropriate and it makes the girls feel uncomfortable.\n[00:14 - 00:18] Speaker B: So what, they can just deal with it. It's not a big deal.\n[00:18 - 00:30] Speaker A: Yes, it is a big deal! They shouldn't have to deal with something like that, it's not  fair to put them in that position when they're just trying to change or shower in what should be a private and secure environment.\n[00:30 - 00:34] Speaker B: But why does it matter so much to you? It's not like anyone got hurt.\n[00:34 - 00:41] Speaker A: It matters because everyone deserves to feel safe and respected. And invading their space like that is crossing a line."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--82370.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: So, what brings you to the city?\n[00:02 - 00:05] Speaker B: Oh, just visiting for a few days. I'm from out of town.\n[00:05 - 00:15] Speaker A: Oh, where are you from? I've always been curious about different parts of the country and how they compare to life here in the city with all its hustle and bustle.\n[00:09 - 00:10] Speaker B: What's your favorite thing about the city?\n[00:11 - 00:19] Speaker A: There's just so much to do and see! Every day is something new. I never get bored exploring different neighborhoods and trying out new restaurants.\n[00:20 - 00:24] Speaker B: Sorry to jump in, but do you have any recommendations for must-see places?\n[00:25 - 00:29] Speaker A: Sure, I have a few great spots in mind. By the way, where are you staying?\n[00:30 - 00:32] Speaker B: Oh, I'm staying at a hotel downtown. It's really nice!\n[00:33 - 00:37] Speaker A: That sounds great! Have you gotten to do any sightseeing yet?\n[00:37 - 00:41] Speaker B: Not much yet. I was hoping you could share those recommendations you mentioned earlier."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--453454.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Sarah, I need to talk to you about something.\n[00:03 - 00:04] Speaker B: What is it? You look serious.\n[00:05 - 00:25] Speaker A: I am. This is important. I've been thinking a lot lately about the government and how they're handling things. I don't agree with what they're doing and I want to do something about it. I want to join the resistance and fight against the injustices and corruption that are affecting so many people's lives by organizing peaceful protests and raising awareness through underground media channels.\n[00:18 - 00:25] Speaker B: You want to what? Are you crazy? Elsy, you can't just go around fighting the government! They're too powerful! You'll get yourself killed!\n[00:26 - 00:31] Speaker A: I know it's risky, but I believe in what we're fighting for. This is something worth fighting for, Sarah.\n[00:32 - 00:34] Speaker B: I don't know, Elsy. I'm scared for you.\n[00:35 - 00:50] Speaker A: Sarah, I understand your concerns. But this is something I need to do. I can't just sit by and do nothing while the government does things that are  harming innocent people and violating basic human rights through their oppressive policies and unchecked power grabs.\n[00:50 - 00:56] Speaker B: What exactly are they doing that's so wrong? Maybe there's another way to address this without putting yourself in danger.\n[00:57 - 01:05] Speaker A: I don't want to lose you, Elsy. But if this is something you feel like you need to do, then I support you. Just be careful, okay?\n[01:05 - 01:07] Speaker B: I will. I promise."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--556505.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:15] Speaker A: Hey Ceanna, I saw that you were doing the reports for the group project. Do you want me to help you with organizing the sections or proofreading? I've got some experience with formatting academic papers and making sure all the citations are properly aligned.\n[00:06 - 00:11] Speaker B: Actually, I could use some help with the data analysis part. It's a bit overwhelming.\n[00:11 - 00:16] Speaker A: Sure, I can take care of that. So what do you think of the project so far?\n[00:16 - 00:27] Speaker B: It's interesting. I'm learning a lot about different cultures and\n[00:29 - 00:37] Speaker A: Speaking of cultures, did you notice how the traditions vary even within the same country? It's amazing how diverse it can be.\n[00:37 - 00:40] Speaker B: Yeah, definitely. It's fascinating."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--836018.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:24] Speaker A: There are a few options we can consider. Chemotherapy is one option that we can use to try and kill the cancer cells. Surgery is another option that may be able to remove the tumor. Radiation is another option that we can use to target the cancer cells and shrink the tumor before surgery, making it easier to remove while minimizing damage to surrounding healthy tissue and improving overall surgical outcomes.\n[00:16 - 00:21] Speaker B: Sorry to cut in, but I'm really anxious to know—what do you think is the best option for me?\n[00:22 - 00:46] Speaker A: I think that surgery is the best option in your case. With chemotherapy, there is always the risk of the cancer coming back. With surgery, there is a chance that we can remove the tumor and all of the cancer cells along with it. I think it's worth considering surgery as an  option that could give you the best chance of a full recovery, especially since your tumor appears to be localized and hasn't spread to other parts of your body yet.\n[00:46 - 00:50] Speaker B: Surgery sounds like the right move. Let's schedule it as soon as possible.\n[00:51 - 01:10] Speaker A: Great, I will get our team to start working on getting you scheduled for surgery. In the meantime, there are some things you can do to help prepare yourself mentally and emotionally for what lies ahead. I suggest talking to a counselor or therapist who can help you deal with your feelings about your diagnosis and treatment options."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--472748.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Hey coach. I wanted to come out here and show everyone that I can prove myself under pressure, and that I'm ready for tougher challenges by demonstrating my improved technique and mental resilience in high-stakes situations.\n[00:04 - 00:08] Speaker B: Hold on, Micheala. Are you sure you're ready for this? It's a big step.\n[00:08 - 00:13] Speaker A: Of course I am. I wouldn't have come out here if I didn't think I could win.\n[00:13 - 00:19] Speaker B: Okay, well let's see what you've got then. Remember to stay focused and don't let your emotions get the better of you.\n[00:20 - 00:22] Speaker A: I will, coach. Thanks for everything.\n[00:23 - 00:26] Speaker B: Remember, focus on your opponent and don't let anything else distract you.\n[00:27 - 00:39] Speaker A: I knew you could do it, Micheala! Now keep it up and you'll be\n[00:41 - 00:45] Speaker B: Victorious, right? But don't forget, it's not over until it's over. Stay sharp!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1022590.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: I just don't know if I can keep going. I feel like I'm losing my motivation, and it's hard to stay focused on something that brings up so much pain especially when the memories keep flooding back unexpectedly throughout the day.\n[00:03 - 00:10] Speaker B: Forcing yourself? I get that, but what exactly is making it so unbearable? Is it because of what happened with your mom?\n[00:10 - 00:23] Speaker A: Yeah, I guess so. It's just really hard to talk about  the emotions that come up every time I think about it because they're so overwhelming and complex, mixing grief with anger and confusion all at once.\n[00:24 - 00:30] Speaker B: I can only imagine. But remember, you're not alone in this. We're all here to support you, and it's okay to take your time with it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--57082.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi, I'm looking for a room for the night.\n[00:03 - 00:06] Speaker B: Sure, we have a few available. How many people will be staying in the room?\n[00:06 - 00:07] Speaker A: Just me.\n[00:08 - 00:18] Speaker B: Okay, that will be $60 for the night, including taxes and fees, and you'll also have access to our complimentary breakfast buffet which is served from 6 AM to 10 AM every morning.\n[00:10 - 00:13] Speaker A: Oh, by the way, do you accept credit cards?\n[00:13 - 00:15] Speaker B: Yes, we do. Here you go.\n[00:15 - 00:20] Speaker A: Thank you. Do you need help with your luggage? I can assist you if needed.\n[00:21 - 00:23] Speaker B: Actually, could you tell me what time check-out is?\n[00:24 - 00:29] Speaker A: Check-out is at 11 AM. And no worries, I got it. Thanks.\n[00:29 - 00:32] Speaker B: Here's your key. Your room is down the hall to the left.\n[00:33 - 00:34] Speaker A: Alright, thanks."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--115625.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, boss. Can I speak with you for a minute?\n[00:03 - 00:04] Speaker B: Sure, Tanis. What's up?\n[00:05 - 00:25] Speaker A: I was hoping to talk to you about a raise. I feel like I've been working hard and contributing a lot to the team, and I would really appreciate some extra financial recognition for the efforts I've put in over the past year, especially considering how I've consistently exceeded performance targets and helped mentor junior team members.\n[00:15 - 00:22] Speaker B: Sorry to cut in, Tanis. Before we dive into that, can you give me a quick overview of the specific contributions you're referring to?\n[00:22 - 00:39] Speaker A: Absolutely. For example, I've taken on several additional responsibilities, such as leading the new client onboarding process and optimizing our project management workflow. These efforts have resulted in a noticeable increase in efficiency and client satisfaction.\n[00:39 - 00:42] Speaker B: I see. Well, let me think about it and get back to you, okay?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1107341.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, man. What are you looking up?\n[00:02 - 00:03] Speaker B: Transcendentalism.\n[00:03 - 00:21] Speaker A: Oh, yeah. That's a philosophical and literary movement that stresses individual freedom, intuition, and natural harmony with the universe, encouraging people to seek truth through personal experience rather than relying solely on traditional institutions or societal expectations.\n[00:10 - 00:17] Speaker B: Sorry, but do you know if this movement has any connection to nature or the environment? I've heard some people talk about that.\n[00:18 - 00:31] Speaker A: Yes, it does. Transcendentalists often emphasized the importance of nature as a source of inspiration and spiritual insight. But it's also a response to the limitations of organized religion and societal norms.\n[00:32 - 00:38] Speaker B: Rationalism, right? That makes sense because it feels like they're advocating for something deeper than just logic and reason.\n[00:38 - 00:47] Speaker A: Exactly! And that's what transcendentalism is all about. It's about going beyond the rational mind to find truth and meaning in life.\n[00:48 - 00:51] Speaker B: I like that. It's like we're transcending the everyday and reaching for something more.\n[00:52 - 01:01] Speaker A: Exactly. And it's not just about reaching for something more, but also about living in the present moment and appreciating the simple things in life.\n[01:01 - 01:05] Speaker B: That's beautiful. I think I might need to read up on this transcendentalism thing."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--876910.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:20] Speaker A: I've been thinking about opening up a restaurant for a while now and I think I finally have a solid plan. I want it to be a sushi restaurant with a modern twist that combines traditional elements with contemporary design, featuring innovative plating techniques and interactive dining experiences that will really set us apart from competitors.\n[00:09 - 00:15] Speaker B: That sounds like a really cool concept! But when you say \"modern,\" do you mean in terms of the menu, the decor, or both?\n[00:16 - 00:44] Speaker A: Both, actually. For the menu, I was thinking we could do something like serve the sushi on small plates or in bento boxes. And instead of traditional soy sauce, we could offer different dipping sauces with unique flavors. As far as decor goes, I was thinking maybe we could have an industrial chic vibe with exposed brick and hanging  lights that create a cozy yet trendy atmosphere, complemented by live-edge wooden tables and greenery to bring natural elements into the space.\n[00:44 - 00:54] Speaker B: Oh, I love the idea of exposed brick! It really adds character. But have you thought about how that might impact the ambiance—like, will it make the place feel too cold or uninviting?\n[00:54 - 01:02] Speaker A: That's a good point. I was planning to balance it out with warm lighting, maybe using hanging lanterns to soften the atmosphere."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--994009.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I can't believe you would do that!\n[00:02 - 00:08] Speaker B: What? I didn't do anything wrong, I swear! I was just trying to help the situation and didn't realize it would upset you this much.\n[00:03 - 00:05] Speaker A: You totally embarrassed me back there!\n[00:06 - 00:11] Speaker B: Bethanie, I'm sorry. I didn't mean to. I was just trying to be funny and lighten the mood.\n[00:12 - 00:15] Speaker A: Well, it wasn't funny. It was humiliating.\n[00:15 - 00:24] Speaker B: Bethanie, please calm down. Let's talk about  it later when you're feeling better and we can have a proper conversation about what happened without all this tension between us.\n[00:24 - 00:28] Speaker A: No, I don't want to talk about it. Just take me home.\n[00:28 - 00:32] Speaker B: Bethanie, please don't be mad at me. I'm sorry, okay?\n[00:33 - 00:36] Speaker A: Fine. But I don't want to talk about it anymore, got it?\n[00:37 - 00:38] Speaker B: Yes, got it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--205413.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: What do you think about me running for city council, honey?\n[00:03 - 00:17] Speaker B: I think it's a great idea! You're so involved in the community and everyone knows you're a fair and honest person. I think you would bring a lot of positive change and represent our neighborhood well by addressing key issues like infrastructure improvements and community safety initiatives.\n[00:10 - 00:16] Speaker A: Sorry to jump in, but do you think my work schedule would allow me to commit fully to the council responsibilities?\n[00:17 - 00:26] Speaker B: That's a good point. It might be challenging, but I believe you can manage it. You would make an excellent city councilor and I know you would work hard to make our community a better place.\n[00:26 - 00:34] Speaker A: Thank you, sweetheart. I'm glad you feel that way. I'm a little nervous about it, but I think I could really make a difference if I was elected."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--960193.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey, are you okay? You look like you've been through a lot.\n[00:04 - 00:15] Speaker B: Yeah, I'm fine. I was just stranded on this island for a while. But thanks to you, I'm finally able to get back to safety and reconnect with my family who must have been worried sick about my sudden disappearance.\n[00:10 - 00:14] Speaker A: Stranded? How did you end up here? Was it an accident?\n[00:14 - 00:22] Speaker B: Yeah, it was. I was just exploring and lost track of time. By the time I realized, it was too late to get back. But thanks to you, I'm safe now.\n[00:23 - 00:29] Speaker A: I'm glad I could help. It's not safe to be out here alone. What were you doing on the island by yourself?\n[00:29 - 00:39] Speaker B: I was just exploring. I wanted to see what was out there beyond the usual tourist spots, hoping to discover some hidden caves or ancient artifacts that might have been overlooked by others.\n[00:38 - 00:45] Speaker A: Exploring is fun, but it can be dangerous in unknown places like this. Did you have any supplies with you?\n[00:46 - 00:51] Speaker B: Not really. I thought I'd be back quickly, so I didn't bring much. You're right, I should have been more prepared.\n[00:51 - 00:56] Speaker A: Well, you're lucky I came along when I did. You could have been hurt or worse.\n[00:57 - 01:00] Speaker B: Yeah, I know. I'm really grateful that you saved me.\n[01:00 - 01:03] Speaker A: Don't mention it. Just be more careful in the future, okay?\n[01:04 - 01:07] Speaker B: Okay, I will. Thanks again for everything."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1113559.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:13] Speaker A: Hi, I'm here because I've been having some pain in this tooth and I'm hoping you can help me figure out what's going on since the discomfort has become quite persistent and is affecting my ability to eat properly.\n[00:05 - 00:12] Speaker B: Absolutely, let's take a look. (examines tooth) It looks like you have a cavity that needs to be filled. Do you remember when the pain started?\n[00:13 - 00:18] Speaker A: It started a few days ago, but it's been getting worse. What do I need to do?\n[00:18 - 00:28] Speaker B: We'll need to clean out the cavity and then fill it with a material that will restore the tooth's function and protect it from further decay. I'll make sure you're comfortable throughout the procedure.\n[00:28 - 00:29] Speaker A: Will it hurt?\n[00:29 - 00:40] Speaker B: The procedure itself is not painful, but you may feel some discomfort afterwards as your tooth adjusts to the filling. Are you okay with the possibility of some mild discomfort after the anaesthetic wears off?\n[00:41 - 00:46] Speaker A: Sorry, just to clarify, will I need to take any painkillers after the procedure?\n[00:46 - 00:53] Speaker B: You might need some over-the-counter pain relief, but it should be manageable. Now, are you okay with proceeding?\n[00:53 - 00:55] Speaker A: Yes, let's do it.\n[00:55 - 01:04] Speaker B: Great. I'm going to give you a local anaesthetic to numb the area before we begin. (injects anaesthetic) You should start feeling the effects in a few minutes.\n[01:04 - 01:07] Speaker A: Wow, I can't believe how quickly that worked!\n[01:07 - 01:12] Speaker B: Yes, it should take effect pretty quickly so we can get started. (begins cleaning out cavity)\n[01:12 - 01:14] Speaker A: Is everything looking okay?\n[01:14 - 01:18] Speaker B: Yes, so far so good! We're just about finished cleaning out the cavity now."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--82144.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:08] Speaker A: I'm tired of always being told what to do. I want to be able to make my own decisions and live my life the way I want to.\n[00:08 - 00:12] Speaker B: You're not a child anymore, Zariah. You need to start acting like an adult.\n[00:13 - 00:25] Speaker A: I am an adult! And I should be able to make my own choices without you always telling me what to do, like I'm incapable of thinking for myself or making responsible decisions about my own future and well-being.\n[00:19 - 00:23] Speaker B: But Zariah, some choices are just too risky. You could get hurt if you're not careful.\n[00:23 - 00:28] Speaker A: I can handle myself. I don't need you constantly worrying about me.\n[00:28 - 00:42] Speaker B: Well, somebody has to worry about you. Your father is gone and your mother is preoccupied with her own life. Somebody has to look out for  you, even if you think you don't need it, because family should always be there to support each other through life's challenges and uncertainties.\n[00:43 - 00:51] Speaker A: Look, Rayah, I get that you're concerned, but that doesn't mean you have to control every aspect of my life. I can take care of myself.\n[00:51 - 00:55] Speaker B: I know you can, but sometimes I just can't help but worry about you.\n[00:55 - 00:59] Speaker A: Well, don't. I'm a big boy now and I can take care of myself.\n[01:00 - 01:02] Speaker B: I know. I'm just worried about you, that's all.\n[01:03 - 01:05] Speaker A: Well, don't be. I can take care of myself."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--473100.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Hey guys, do you want to get some photos together before we go our separate ways?\n[00:05 - 00:06] Speaker B: Yeah, that sounds great!\n[00:06 - 00:16] Speaker A: Okay, let's go over to that spot by the fountain where the lighting is better and we can get a nice backdrop of the surrounding gardens and architecture.\n[00:09 - 00:14] Speaker B: Oh, wait! Should we ask someone to take the picture for us so that everyone can be in it?\n[00:14 - 00:18] Speaker A: That's a good idea! I'll ask that person over there. Sounds good?\n[00:19 - 00:20] Speaker B: Sounds good!\n[00:20 - 00:23] Speaker A: All right, everyone get in close and say cheese!\n[00:24 - 00:25] Speaker B: Cheese!\n[00:25 - 00:33] Speaker A: Great, now let's try a few different poses. How about we all stand on one side and do a fun group pose together?\n[00:33 - 00:38] Speaker B: Actually, before we do that, should we take one where we're all just smiling normally first?\n[00:38 - 00:42] Speaker A: Sure, let's do that first. Then we can try the one-legged pose next!\n[00:43 - 00:47] Speaker B: Perfect! Now let's put our arms around each other and make a big group hug.\n[00:48 - 00:49] Speaker A: Aww, this is so sweet!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--725089.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey Brittnay, I have a present for you!\n[00:03 - 00:03] Speaker B: What is it?\n[00:04 - 00:14] Speaker A: It's a new car! I wanted to surprise you with something special, knowing how much you've been wanting to upgrade your vehicle and all the hard work you've put in lately to deserve this amazing gift.\n[00:06 - 00:11] Speaker B: A new car? Are you serious? That's incredible! What kind of car is it?\n[00:11 - 00:17] Speaker A: It's a Tesla Model 3. I thought you'd love the electric features. I'm glad you like it.\n[00:17 - 00:23] Speaker B: Wait, there's more? You really didn't have to, but I'm curious—what's the other surprise?\n[00:24 - 00:31] Speaker A: A trip to the Bahamas! I figured it would be the perfect getaway for us to relax and celebrate your promotion in style.\n[00:31 - 00:34] Speaker B: That sounds amazing! Thank you so much, Catelynn!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--22719.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: I'm so glad you could make it out tonight! It's been way too long since we've caught up. How has work been treating you?\n[00:07 - 00:20] Speaker B: It's been busy, as always. I feel like I never have a chance to relax anymore. But enough about me, how have things been with you? Any news on the job front? I remember you were waiting to hear back about that promotion and I've been really curious to know how everything turned out for you.\n[00:15 - 00:25] Speaker A: Actually, I do have some news. I finally got that promotion I've been working so hard for! Starting next week, I'll be the new assistant manager at the store.\n[00:25 - 00:34] Speaker B: That's amazing! Congratulations! I knew you'd get it eventually. You deserve it after all the extra hours you've been putting in, especially with all the challenges you've faced this past year.\n[00:34 - 00:47] Speaker A: Thanks for saying that! And speaking of the extra hours, it feels like they finally paid off with this promotion. It's a big pay raise and comes with some nice perks, like a company car and an office with a view.\n[00:48 - 00:51] Speaker B: Oh, that sounds lovely. I'm sure you'll be very happy there."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--640525.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Hey, personY. I'm tired of your monopoly. I'm going to defy it.\n[00:05 - 00:07] Speaker B: What do you mean by \"defy?\"\n[00:07 - 00:12] Speaker A: I mean that I'm going to do things my own way, and I'm not going to let you control me anymore.\n[00:13 - 00:22] Speaker B: But why? What's wrong with the way I manage things? Everything has been running smoothly and efficiently under my leadership, with clear benefits for everyone involved, hasn't it?\n[00:15 - 00:22] Speaker A: What's wrong? It's unfair. You have all the power and you're using it to take advantage of people. That's not right.\n[00:23 - 00:27] Speaker B: And what do you think you can do about it? You're just one person. How are you going to make a difference?\n[00:28 - 00:47] Speaker A: By standing up for what's right, and by showing other people that they don't have to put up with your crap anymore. We don't have to take this from you anymore, personY. We can fight back and create a movement that challenges your authority through organized protests, social media campaigns, and grassroots community organizing efforts.\n[00:47 - 00:54] Speaker B: Fight back? With what? You don't have the resources, the influence, or the backing. You're just a lone voice in the wilderness.\n[00:54 - 00:55] Speaker A: We'll see about that."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--252183.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: You're falling asleep again!\n[00:02 - 00:05] Speaker B: I'm sorry, Isai. I didn't mean to fall asleep.\n[00:05 - 00:09] Speaker A: You always fall asleep when we're supposed to be spending time together!\n[00:09 - 00:11] Speaker B: I'm sorry, Isai. I'll try to stay awake.\n[00:12 - 00:22] Speaker A: It's not like you're trying very hard to stay engaged when we're together and actually participate in meaningful conversations instead of just nodding along absentmindedly.\n[00:14 - 00:18] Speaker B: I really am trying, Isai. It's just that I'm really tired.\n[00:18 - 00:24] Speaker A: Well, maybe if you didn't spend all night playing video games, you wouldn't be so tired during the day!\n[00:24 - 00:27] Speaker B: I'm sorry, Isai. I'll try to limit my game playing.\n[00:27 - 00:40] Speaker A: It's not just the games, Eleanor. You're always on your phone, or watching TV, or  doing something else that distracts you from us when we should be focusing on strengthening our relationship and creating meaningful memories together.\n[00:41 - 00:46] Speaker B: Hold on, Isai, I get it. I know I need to be more present. I'll make a conscious effort to spend more time with you."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--962013.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hi! I'm Aaliyah. What's your name?\n[00:03 - 00:05] Speaker B: Hi, I'm Sarah.\n[00:05 - 00:09] Speaker A: It's nice to meet you, Sarah. What brings you here today?\n[00:09 - 00:19] Speaker B: I'm here to learn more about important issues and to have some meaningful conversations with like-minded people who share my passion for making a positive impact in our communities and beyond.\n[00:12 - 00:20] Speaker A: Sorry to jump in, but when you say 'important issues,' are there specific topics you're particularly interested in?\n[00:20 - 00:30] Speaker B: Definitely! I'm passionate about environmental sustainability and social justice. But I also mentioned I wanted to have some fun—what kind of activities does EventZ offer for that?\n[00:30 - 00:43] Speaker A: We have a variety of activities, like interactive workshops and social events. I created EventZ because I want to improve the world by bringing people together to discuss important issues and have fun.\n[00:43 - 00:47] Speaker B: That sounds amazing! I'm definitely interested in learning more about that.\n[00:48 - 00:55] Speaker A: Yeah, I think it's so important that we talk about these things and try to make a difference. It can be really fun too!\n[00:55 - 01:00] Speaker B: Absolutely. I'm really looking forward to hearing more about what you have to say."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--439119.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Lillian. How are you doing today?\n[00:02 - 00:05] Speaker B: I'm doing well, Alexes. How are you?\n[00:05 - 00:08] Speaker A: I'm good. Hey, can I talk to you for a second?\n[00:09 - 00:10] Speaker B: Sure. What's up?\n[00:10 - 00:36] Speaker A: I just wanted to say that I think you're a really special person and I appreciate you for who you are. You're not like other people who are always after materialistic things and trying to take advantage of others. You're different and I wanted to let you know that it doesn't go unnoticed because your kindness and authenticity shine through in everything you do, from the way you treat others to how you carry yourself with such grace and humility.\n[00:26 - 00:34] Speaker B: Sorry to jump in, but I just have to say, it's really rare to hear someone express that kind of appreciation these days. Do you feel like the world is becoming more superficial?\n[00:35 - 00:48] Speaker A: Absolutely, that's exactly what I was getting at. There's too much greed in the world these days and it's refreshing to see someone like you who is content with what they have and doesn't need anything else to make them happy.\n[00:49 - 00:56] Speaker B: Thank you, Alexes. That means a lot to me coming from you. It's nice to know that there are still people out there who care about more than just themselves."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--412543.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: It's great to finally meet you, Sarah. I've heard so much about you.\n[00:04 - 00:06] Speaker B: Likewise. It's nice to put a face to the name.\n[00:07 - 00:08] Speaker A: So, what do you do?\n[00:08 - 00:18] Speaker B: I'm a teacher. I teach English at a local high school where we focus on developing critical thinking skills through literature analysis and creative writing exercises.\n[00:11 - 00:17] Speaker A: Oh, English! That's fantastic. Do you get to incorporate a lot of creative writing into your lessons?\n[00:18 - 00:27] Speaker B: Yes, actually, I do. It's one of my favorite parts of the job. I love my job, even though it can be challenging at times. What about you? What do you do?\n[00:27 - 00:35] Speaker A: I'm an accountant. It's not as exciting as teaching, but it pays the bills, and I enjoy the problem-solving aspect of it.\n[00:35 - 00:39] Speaker B: But I imagine it must be really satisfying when everything balances out perfectly, right?\n[00:40 - 00:45] Speaker A: Absolutely, there's definitely a sense of accomplishment in that."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--992151.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: Hey, Mom. I finished the clothes you were helping me mend and I even managed to fix that stubborn tear in my favorite shirt that we thought might be beyond repair. I think they look much better now.\n[00:02 - 00:04] Speaker B: Oh, let me see! How did they turn out?\n[00:05 - 00:09] Speaker A: Yeah, they turned out pretty good, if I do say so myself.\n[00:10 - 00:23] Speaker B: They most certainly did! You're getting so big and tall; it won't be long before those old clothes of yours won't fit you anymore and we'll need to completely revamp your wardrobe with stylish new outfits that match your growing personality. We'll have to go shopping for new ones soon.\n[00:24 - 00:29] Speaker A: I know, right? It's hard to believe how fast time is flying by.\n[00:30 - 00:35] Speaker B: It really is. Sometimes it feels like only yesterday you were born, and now you're already a young man.\n[00:36 - 00:40] Speaker A: So true. Well, I should probably get going now. Thanks for all your help, Mom.\n[00:41 - 00:43] Speaker B: Of course, sweetheart. Anytime."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--243315.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: Hey, how are you doing?\n[00:01 - 00:03] Speaker B: I'm doing alright. How about you?\n[00:04 - 00:10] Speaker A: I'm good. Just trying to stay present and in the moment as much as possible.\n[00:10 - 00:22] Speaker B: That's great! I think more people should do that. It can be really helpful in reducing stress and improving overall mental health by fostering better emotional regulation and creating a stronger connection between mind and body.\n[00:15 - 00:22] Speaker A: Sorry to interrupt, but I wanted to ask, do you have any specific techniques you use to stay present?\n[00:22 - 00:34] Speaker B: Yeah, I find it makes me feel more calm and at peace with myself. And it also helps me be more productive since I'm not constantly worrying about things that might happen in the future or dwelling on things that have already happened.\n[00:34 - 00:44] Speaker A: That makes sense. It's like if you're always living in the past or the future, you're not really living in the present, which is all that really matters.\n[00:44 - 00:53] Speaker B: Exactly. I'm just trying to be more mindful of my thoughts and feelings and really savor the moments that I'm in, whether it's something good or just an ordinary day.\n[00:54 - 01:03] Speaker A: I totally agree, but I'm curious, how do you handle it when something bad happens? Do you have any strategies for staying present during tough times?\n[01:03 - 01:08] Speaker B: That sounds like a really healthy way to approach life. I think more people should try it!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--193891.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I'm finally going to get my degree.\n[00:02 - 00:05] Speaker B: Congratulations! It's been a long time coming.\n[00:05 - 00:19] Speaker A: Yeah, I'm pretty excited. It feels like all of my hard work is finally going to pay off, and I can start the next chapter of my life with new opportunities and experiences that will help me grow both personally and professionally.\n[00:10 - 00:15] Speaker B: Sorry to jump in, but have you thought about what kind of job you want to pursue right after graduation?\n[00:16 - 00:36] Speaker A: I'm not really sure yet. I know that I want to get a good job and that a degree will make me more qualified for the positions I'm interested in. Hopefully it will also help me get hired more  quickly, but I still need to figure out exactly what path I want to take and whether I should consider internships or additional certifications to strengthen my profile.\n[00:36 - 00:41] Speaker B: That's true, but have you considered how competitive the job market is in your field right now?\n[00:41 - 00:54] Speaker A: I have, and that's actually one of the reasons I'm hoping the degree will give me an edge. But more than that, I just hope I can find something I'm really passionate about so that I can enjoy my work and feel like it's worthwhile."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--888565.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: I'm sorry, but I don't think this is going to work out. You're just not my type.\n[00:05 - 00:13] Speaker B: What do you mean? I thought we were getting along pretty well, and I was really looking forward to seeing where this could go since we share so many common interests and values.\n[00:07 - 00:15] Speaker A: We were, but then I saw you dressed like this and it just turned me off. It feels like you don't care about making a good impression.\n[00:16 - 00:20] Speaker B: That's not true! I was just being comfortable. I didn't know we were going to be dressing up tonight.\n[00:21 - 00:35] Speaker A: Well, maybe if you had asked me what the dress code was, I could have told you. But now it's too late and I just don't feel  the same connection that I did before because physical presentation is an important part of attraction for me in a relationship.\n[00:35 - 00:40] Speaker B: Wait, are you saying that just because of what I'm wearing, you don't feel attracted to me anymore?\n[00:41 - 00:50] Speaker A: Yes, it might sound shallow, but first impressions matter to me. I'm sorry you feel that way. I had a really good time with you up until now.\n[00:50 - 00:53] Speaker B: Me too. I'm just sorry it has to end like this."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--650705.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: Hey, Sarah. How are you doing today?\n[00:03 - 00:14] Speaker B: I'm doing good. Just hanging out at home, trying to stay cool in this hot weather. It's been unbearable lately with temperatures reaching record highs and the humidity making it feel even worse than it actually is.\n[00:07 - 00:13] Speaker A: Oh, speaking of staying cool, have you tried those new portable fans? They're supposed to be really effective.\n[00:14 - 00:20] Speaker B: No, I haven't tried them yet. But with this heat, I might have to look into it. So, what have you been up to lately?\n[00:21 - 00:31] Speaker A: Not much. Just hanging out with friends and family, going to the\n[00:33 - 00:38] Speaker B: Oh, that reminds me! I wanted to ask if you've been to that new beach spot everyone's talking about?\n[00:38 - 00:48] Speaker A: No, I haven't been there yet. I was actually going to say I've been going to the beach a lot, but now I'm curious about this new spot. What's it like?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--735517.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:06] Speaker A: Oh my gosh, Marciano! I'm so excited for you! I had no idea you were interested in photography!\n[00:07 - 00:20] Speaker B: Yeah, I've been getting into it lately. I just love capturing moments and seeing how different lighting and angles can completely change the feel of a photo, transforming ordinary scenes into extraordinary works of art that tell compelling visual stories.\n[00:11 - 00:18] Speaker A: Sorry to jump in, but what kind of camera are you using? I've been thinking about getting into photography myself.\n[00:18 - 00:29] Speaker B: Oh, I'm using a Canon DSLR. It's been great for learning the basics. As I was saying, I just love capturing moments and memories, especially when I can experiment with different techniques.\n[00:29 - 00:32] Speaker A: That's so great! What do you like most about it?\n[00:33 - 00:43] Speaker B: I guess I just really enjoy the creative process. It's really fulfilling to be able to create something beautiful that will last forever, and it's amazing to see how my skills have improved over time.\n[00:43 - 00:47] Speaker A: Absolutely! Do you have any favorite subjects to photograph?\n[00:47 - 00:58] Speaker B: Hmm...I think my favorite thing to photograph is people. There's just something special about being able to capture someone's personality in a photo, especially when they're not even aware they're being photographed."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--180962.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: It's bleeding a lot, Mom. I'm really worried that it might get infected if we don't clean it quickly and properly because I remember what happened last time when we didn't treat my scrape immediately.\n[00:03 - 00:07] Speaker B: Scared? I know, sweetheart. But remember, I'm here with you. We'll get through this together.\n[00:08 - 00:09] Speaker A: Okay.\n[00:09 - 00:21] Speaker B: Now, let's take a look at that knee. Hmm, it doesn't look too bad. But we'll need to clean it up and make sure it's properly disinfected before we cover it with a sterile bandage to prevent any bacteria from entering the wound.\n[00:24 - 00:26] Speaker A: Put a bandage on it? Please hurry, Mom!\n[00:27 - 00:31] Speaker B: I will, sweetie. I'm going to go get the supplies. I'll be right back.\n[00:31 - 00:32] Speaker A: Hurry, Mom!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1175954.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Mom, I did it! I made it into middle school.\n[00:03 - 00:15] Speaker B: That's wonderful, Ruben! I'm so proud of you. You've worked so hard and it's paid off. Congratula—I knew you could do it because you've always shown such dedication to your studies and extracurricular activities!\n[00:09 - 00:12] Speaker A: Thanks, Mom. It feels great to finally be here.\n[00:13 - 00:16] Speaker B: So, what's next for you? What do you want to achieve in middle school?\n[00:17 - 00:27] Speaker A: I don't really know. I just want to keep doing well and getting good  grades in all my subjects while also exploring new interests that might help me discover my future career path.\n[00:28 - 00:34] Speaker B: Ruben, speaking of grades, have you thought about joining any clubs or activities? They could really help you stay motivated.\n[00:35 - 00:43] Speaker A: That's a good idea, Mom. I think I might try joining the science club. But like I was saying, I want to keep getting good grades too."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--559292.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Mouhamed, I'm so sorry. I can't believe this is happening.\n[00:04 - 00:06] Speaker B: Yeah, I know. It's pretty surreal.\n[00:06 - 00:08] Speaker A: How are you feeling?\n[00:08 - 00:20] Speaker B: To be honest, I'm not sure. It's like I'm in a dream or something. None of this feels real, and I keep hoping I'll wake up and everything will be back to normal, but deep down I know this is reality and I need to find a way to process it all.\n[00:13 - 00:18] Speaker A: Do you think there's anything specific that might help make it feel more real or manageable?\n[00:19 - 00:24] Speaker B: Not really. I don't want to think about it too much. It's just kind of hard to accept, you know?\n[00:24 - 00:30] Speaker A: Yeah, I know. But you're being so strong through all of this. You're amazing, Mouhamed.\n[00:30 - 00:33] Speaker B: Thanks, John. That means a lot coming from you.\n[00:34 - 00:40] Speaker A: You're my best friend, Mouhamed. I just wish there was something more that I could do for you to make this easier.\n[00:40 - 00:46] Speaker B: Just being here with me is enough, John. Actually, I was going to ask if you could help me with something specific later."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--330048.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey Mitzy, I saw that you were wearing a really cool watch.\n[00:04 - 00:07] Speaker B: Yeah, it's my new watch. I just got it yesterday.\n[00:07 - 00:18] Speaker A: It looks really expensive. How much did it cost? I was thinking of getting something similar for myself and would love to know if it fits within my budget for a quality timepiece.\n[00:11 - 00:17] Speaker B: Oh, actually, I'm not sure. My mom got it for me as a gift, so I didn't really ask how much it cost.\n[00:17 - 00:25] Speaker A: Oh, that makes sense. Well, can I take a look at it? I'm interested in watches too and I've never seen one like that before.\n[00:26 - 00:28] Speaker B: Sure, no problem. Here you go.\n[00:28 - 00:39] Speaker A: Wow, this is an amazing watch! It must have cost a lot of money! Where did your mom get it from? I'm curious because I've been looking for a good place to buy a watch.\n[00:39 - 00:45] Speaker B: Sorry, just curious—do you know if the store she got it from has other brands or just luxury ones?\n[00:45 - 00:52] Speaker A: She got it from a store called Luxury Timepieces. They have really nice watches there but they're pretty pricey.\n[00:52 - 00:59] Speaker B: Yeah, I can imagine! This watch is beautiful though and definitely worth the price tag! Thanks for letting me take a look at it!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--609913.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, Richard, tell me about your dream of becoming a knight.\n[00:03 - 00:22] Speaker B: Well, it all started when I was just a little boy. I would watch the knights riding by and I would imagine myself in their armor, fighting bravely for my lord. From then on, I just knew that's what I wanted to dedicate my life to, no matter the challenges I would face, because the honor and chivalry of knighthood represent the highest ideals one can aspire to in our society.\n[00:14 - 00:21] Speaker A: Sorry to cut in, but I'm curious—did your family support your dream of becoming a knight from the start?\n[00:22 - 00:31] Speaker B: My family was hesitant at first, especially because it's a dangerous path, but they eventually came around when they saw how determined I was. And so, I became a squire.\n[00:31 - 00:39] Speaker A: Yes, Lord Robert took you under his wing and taught you everything he knows about being a knight. That must have been quite an experience.\n[00:39 - 00:43] Speaker B: It was hard work, but it was worth it. And now, I'm a knight myself.\n[00:43 - 00:45] Speaker A: That's amazing. Congratulations!\n[00:45 - 00:47] Speaker B: Thank you! It's been my dream come true.\n[00:48 - 00:52] Speaker A: What advice would you give to other young boys who have a dream like you did?\n[00:52 - 00:59] Speaker B: I would tell them to never give up on their dreams and to always strive to be their best selves, because that's what will truly set them apart.\n[01:00 - 01:04] Speaker A: Do you think it's more important to focus on physical training or mental preparation?\n[01:05 - 01:21] Speaker B: Both are crucial, but mental preparation is often overlooked. Staying strong in your convictions is key. As I was saying, if they work hard and maintain"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--413649.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:05] Speaker A: Honey, I'm really tired. I've been working all day and it's already 7pm.\n[00:05 - 00:18] Speaker B: I can tell. You look exhausted. Why don't you go take a shower and then relax for a bit? I'll make us some dinner so you don't have to worry about it - maybe some pasta with that homemade sauce you love so much, and I can throw together a fresh salad too.\n[00:12 - 00:18] Speaker A: Sorry to interrupt, but I just remembered we might be out of groceries. Did you have a chance to go shopping today?\n[00:19 - 00:24] Speaker B: No, I didn't. But I can quickly run to the store while you shower. You really need to take a break.\n[00:24 - 00:28] Speaker A: Thanks, that sounds great. I could really use a break.\n[00:28 - 00:33] Speaker B: No problem. I know how hard you've been working lately. You deserve a little relaxation time.\n[00:34 - 00:40] Speaker A: Yeah, I've been feeling a bit burnt out lately. But I'm determined to make sure I finish this project on time.\n[00:41 - 00:45] Speaker B: I completely understand. But have you considered talking to your boss about your workload?\n[00:46 - 00:56] Speaker A: I haven't yet. But I think I might need to soon. I admire your dedication. But you need to take care of yourself too. You can't keep working like this forever.\n[00:56 - 00:59] Speaker B: I know. But for now, this is what I have to do.\n[00:59 - 01:06] Speaker A: Well, at least let me help you out as much as possible. I don't want you to feel like you're doing this all alone.\n[01:06 - 01:09] Speaker B: Thanks, honey. I appreciate that more than you know."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--90368.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: I'm so happy I finally get to practice the cakewalk! I've been wanting to learn it for such a long time, and now I finally have the chance to master the intricate steps and elegant movements that make this dance so special.\n[00:05 - 00:07] Speaker B: You look great out there! You make it look so easy.\n[00:08 - 00:24] Speaker A: Thanks! It's actually a lot of fun. I love the feeling of moving gracefully across the floor and my skirts swirling around me. It makes me feel  like I'm floating, almost like I'm in a different era where ballroom dances were the highlight of every social gathering.\n[00:24 - 00:28] Speaker B: Sorry, I just have to ask—how long did it take you to get this good?\n[00:29 - 00:38] Speaker A: Oh, it took a few weeks of practice, but I still have a lot to learn. I'm just glad I finally get to learn it. I've been wanting to for months.\n[00:38 - 00:41] Speaker B: Well, you're definitely doing a great job!"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--787888.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi, welcome to my store. What can I get for you today?\n[00:04 - 00:05] Speaker B: Hi. I'd like a Coke, please.\n[00:06 - 00:17] Speaker A: I'm sorry, but we only have Pepsi today. Is that okay with you or would you prefer to try one of our other refreshing beverages like lemonade or iced tea which are equally delicious?\n[00:09 - 00:14] Speaker B: Wait, you don't have Coke at all? That's really frustrating, I was really craving one.\n[00:14 - 00:19] Speaker A: I understand, but we only have Pepsi. Would you like something else?\n[00:19 - 00:23] Speaker B: No, that's not alright. I don't want Pepsi. I want Coke.\n[00:24 - 00:37] Speaker A: I'm really sorry, but we don't have Coke. Maybe  you could try another drink that you might enjoy just as much like our signature fruit smoothies or freshly squeezed orange juice which are quite popular among our customers?\n[00:37 - 00:41] Speaker B: You know, this is ridiculous. Every time I come here, it's the same issue.\n[00:41 - 00:50] Speaker A: I completely understand your frustration. Would you like to try something else, or maybe I can suggest another store nearby that might have Coke?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--156744.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Thank you so much for the advice, I really appreciate it.\n[00:03 - 00:16] Speaker B: You're welcome, Lucca. Like I said, I think studying more outside of class will really help you to understand the concepts that we've been covering in class, especially when you dedicate focused time to practice problems and review your notes thoroughly.\n[00:10 - 00:17] Speaker A: Yeah, I'm definitely going to do that. I just need to figure out which concepts I'm struggling with the most.\n[00:17 - 00:23] Speaker B: Well, why don't we take a look at your grades from the past few tests and see which areas you need to focus on more.\n[00:23 - 00:28] Speaker A: Oh, you mean like going over the specific topics where I didn't do well?\n[00:29 - 00:37] Speaker B: Exactly. That way, we can focus on the areas you need to improve the most. Alright, let's take a look... it looks like you're having trouble with multiplication and division.\n[00:38 - 00:40] Speaker A: Yeah, I've always struggled with math.\n[00:41 - 00:47] Speaker B: Well, don't worry, we'll help you get through it. Just remember to study more outside of class and you should be fine.\n[00:47 - 00:49] Speaker A: Thanks again for the help."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--571406.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:12] Speaker A: I just feel so frustrated sometimes, you know? It feels like we're not making any progress at work, and it's starting to get to me, especially when I see how much effort we're putting in without seeing tangible results.\n[00:05 - 00:12] Speaker B: I understand your frustration, but do you think there might be specific obstacles we're not addressing that's causing this feeling?\n[00:12 - 00:20] Speaker A: Maybe, but it's just that sometimes I feel like what I'm doing doesn't matter. That no matter how hard I try, it's never going to be enough.\n[00:21 - 00:26] Speaker B: Sierrah, listen to me. What you're doing does matter. You are making a difference. Don't ever doubt that.\n[00:27 - 00:37] Speaker A: I guess I just need some reassurance  from time to time, especially when things get tough and I start questioning whether I'm on the right path or making the right decisions.\n[00:37 - 00:44] Speaker B: Absolutely, and it's completely normal to feel that way. Can you think of any recent successes that might remind you of your impact?\n[00:45 - 00:54] Speaker A: I understand. But you have to believe in yourself, Sierrah. You are strong and capable, and you can make a difference. Never give up on your dreams."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--1059254.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Can you tell me more about the geysers here? They're amazing!\n[00:04 - 00:29] Speaker B: Sure, the geysers are one of the main attractions of Yellowstone. There are over 500 of them in the park. They're formed when hot water and steam rise up through cracks in the earth's surface. The heat from the water and steam can sometimes cause the rocks to break apart, which creates a hole that allows the water and steam to escape with great force, leading to those spectacular eruptions you see, and the pressure buildup can sometimes create new geysers over time as the underground plumbing system evolves.\n[00:20 - 00:28] Speaker A: Sorry to cut in, but I'm curious—are these geysers dangerous to be around? I mean, with all that hot water and steam?\n[00:28 - 00:45] Speaker B: Yes, they can be dangerous if you get too close. The water can be extremely hot, and the steam can cause burns. That's why the park has boardwalks and viewing areas to keep visitors at a safe distance. But as I was saying, the water and steam escape through those holes, and that's what creates the geyser eruption.\n[00:45 - 00:50] Speaker A: That makes sense. So, do you have a favorite geyser?\n[00:51 - 01:03] Speaker B: Yes, I do. My favorite geyser is the Excelsior Geyser Crater. It's the biggest geyser in Yellowstone and it's also one of the most active. It erupts about every 20 minutes or so and can shoot water up to 400 feet in the air!\n[01:03 - 01:07] Speaker A: Wow, that's incredible! I would love to see that someday."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--846418.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hey, Maegan. Do you want to grab coffee with me?\n[00:03 - 00:04] Speaker B: Yeah, I'd love to!\n[00:05 - 00:07] Speaker A: So, have you ever been in a relationship before?\n[00:08 - 00:15] Speaker B: No, I haven't. I've always been too busy with school and extracurriculars. Plus, I'm not really sure what I'm looking for in a partner yet.\n[00:16 - 00:32] Speaker A: No, I haven't either. Honestly, I'm not really sure if I'm ready for a relationship either. But it's definitely something that I'm open to exploring more in the future, maybe when things settle down a bit and I have more time to focus on building meaningful connections with people.\n[00:25 - 00:33] Speaker B: Sorry to interrupt, but I just want to clarify, when you say you're not ready, is it because of past experiences or just the current phase of life?\n[00:33 - 00:53] Speaker A: It's more about the current phase of life. I haven't had any significant past experiences. But as I was saying, I'm open to exploring more in the future. I think that it would be really nice to find someone special to share my life with, but I'm not sure if I'm ready for that just yet, considering how busy things are right now.\n[00:54 - 01:00] Speaker B: I totally get that. Sometimes, the idea of sharing your life with someone can be both exciting and daunting at the same time.\n[01:01 - 01:10] Speaker A: Yeah, exactly. I think that we're definitely on the same page when it comes to relationships. Who knows, maybe we'll find someone special together one day?\n[01:10 - 01:12] Speaker B: That would be really nice."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--905170.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:04] Speaker A: Thank you so much for all your help, Saquan. I really appreciate it.\n[00:04 - 00:12] Speaker B: Don't mention it. I'm just glad I could be of assistance and help make your project come together so successfully. It's always nice to help out a friend.\n[00:07 - 00:14] Speaker A: Actually, I wanted to repay you for being so kind to me, so I did some research and found out that your birthday is coming up soon.\n[00:14 - 00:22] Speaker B: That's right, it is! How did you find out about my birthday when I've been so careful not to mention it around the office? I don't think I've told anyone before.\n[00:22 - 00:30] Speaker A: I looked it up. Anyway, I wanted to get you a present, but I'm not sure what you would like. Do you have any ideas?\n[00:31 - 00:34] Speaker B: Well, I've been wanting a new set of golf clubs for a while now.\n[00:34 - 00:37] Speaker A: That sounds like a great idea! I'll get you some then.\n[00:38 - 00:41] Speaker B: Thank you, Mylee. You didn't have to go to all this trouble for me.\n[00:41 - 00:50] Speaker A: It's no trouble at all. Like I said, I wanted to repay you for everything you've done for me. So consider this my early birthday present to you.\n[00:50 - 00:52] Speaker B: Thank you, Mylee. You're too kind."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--852467.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:09] Speaker A: Sarah, I just got this really creepy message that says \"I know what you did.\" Do you think it's from someone who knows about the thing we did last week?\n[00:09 - 00:24] Speaker B: Well, it's possible. But it could also be from someone who knows about something else you did. Either way, it's pretty unnerving, and I think we should figure out who might be behind it by checking your recent interactions and seeing if anyone has been acting suspiciously around you lately.\n[00:17 - 00:23] Speaker A: Wait, do you think it could be connected to that other thing I mentioned to you a while back? The one involving—\n[00:24 - 00:35] Speaker B: —Unsettling? Yeah, it is. But honestly, it might just be someone trying to mess with you. Maybe someone saw you do something random and decided to play a prank. Just don't let it get to you too much, OK?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--964867.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:10] Speaker A: Hi, can I stay here for a while? It's really cold and I just need to warm up for a bit because I've been walking outside in this freezing weather for over an hour now.\n[00:03 - 00:07] Speaker B: Sorry to jump in, but if you're going to stay longer, you'll need to purchase something.\n[00:08 - 00:10] Speaker A: Okay, I'll buy something.\n[00:10 - 00:12] Speaker B: All right, what would you like to purchase?\n[00:12 - 00:14] Speaker A: I don't know. What do you have?\n[00:15 - 00:26] Speaker B: We have a lot of different things. We have clothes, food, and other  essential items that might be useful in this weather, including warm blankets, hot beverages, and emergency supplies for extreme cold conditions.\n[00:27 - 00:28] Speaker A: What kind of food do you have?\n[00:29 - 00:33] Speaker B: We have different kinds of food. We have fruits, vegetables, meat, and more.\n[00:33 - 00:35] Speaker A: Do you have any apples?\n[00:35 - 00:38] Speaker B: Yes, we do. Would you like to purchase an apple?"}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--146698.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:21] Speaker A: I'm so sorry. I know I've put you all through a lot, and I feel terrible about it. I'm determined to turn things around though. I need to make some changes in my life so that I can be the person you can all be proud of and someone who can contribute positively to our relationship by being more reliable, communicating better, and showing through my actions that I'm committed to this transformation.\n[00:12 - 00:21] Speaker B: Ebonee, you don't have to worry about making us proud. The most important thing is that you're doing this for yourself. Are you sure you're ready for these changes?\n[00:21 - 00:32] Speaker A: Yes, I am. I know it won't be easy, but I can't keep living like this. I need to get my life back on track, and I really appreciate your support. It means the world to me.\n[00:33 - 00:35] Speaker B: We'll support you every step of the way, Ebonee."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--188417.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:01] Speaker A: I got your note.\n[00:01 - 00:03] Speaker B: Yes, I sent it to you specifically.\n[00:04 - 00:09] Speaker A: But why didn't you just call me and invite me to the party instead of sending a note?\n[00:09 - 00:19] Speaker B: I wanted to make sure that you knew that you were invited and that I was really hoping you could make it because I value your presence and think you'd bring so much energy and fun to the gathering.\n[00:12 - 00:17] Speaker A: Thinking of me? I appreciate that, but it still feels a bit impersonal.\n[00:17 - 00:21] Speaker B: I'm sorry if you feel that way. I didn't mean for it to come across like that.\n[00:21 - 00:29] Speaker A: It's just that, it would have been nice to know that I was actually invited instead of feeling like an obligation or an afterthought.\n[00:29 - 00:33] Speaker B: Afterthought, I understand. I'll make sure to be more direct next time.\n[00:33 - 00:37] Speaker A: Thank you. I just want to feel like I'm truly included.\n[00:37 - 00:40] Speaker B: I completely get that. I'll try to do better next time."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--731416.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: So, I won the money. I have $5 more now.\n[00:03 - 00:11] Speaker B: Wow, congratulations! How did you manage to win it? Was it from a lottery, a bet, or perhaps some kind of competition you entered recently?\n[00:06 - 00:11] Speaker A: Sorry, I just wanted to ask—did you win it from a game or something else?\n[00:11 - 00:13] Speaker B: I was just really lucky, I guess.\n[00:13 - 00:16] Speaker A: That's amazing! What are you going to do with the money?\n[00:17 - 00:21] Speaker B: I don't know. Maybe save it or put it towards something I've been wanting to buy for a while.\n[00:22 - 00:27] Speaker A: Or maybe treat yourself to something small? It's okay to enjoy a little, too.\n[00:27 - 00:30] Speaker B: That's a good idea. You should be careful with your money.\n[00:30 - 00:32] Speaker A: Yeah, I know."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--769683.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:03] Speaker A: Hi! I'm looking for a shirt to wear to my friend's birthday party.\n[00:04 - 00:18] Speaker B: Well, you've certainly come to the right place! We have a great selection of shirts in a variety of colors and styles, including casual button-downs, polo shirts, and some more formal options, so you can find something that suits the occasion perfectly while staying comfortable.\n[00:10 - 00:15] Speaker A: Yeah, I saw that. I'm looking for something nice, but not too dressy. Do you have anything in mind?\n[00:16 - 00:22] Speaker B: Got it. How about this pink shirt? It's a great color and it's only twenty dollars, which is a great deal for something this stylish.\n[00:22 - 00:29] Speaker A: Sorry to cut in, but does it come in other colors as well? I'm not sure if pink is quite my style.\n[00:30 - 00:33] Speaker B: Yes, it does! We have it in blue, white, and black too.\n[00:34 - 00:36] Speaker A: That sounds perfect! I'll take the blue one.\n[00:37 - 00:39] Speaker B: Great! I'll just need your size and I'll ring you up.\n[00:40 - 00:42] Speaker A: It's a small.\n[00:42 - 00:47] Speaker B: Okay, that will be twenty dollars total. Would you like to pay with cash or credit?\n[00:47 - 00:49] Speaker A: Credit, please."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--933043.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I know what I want to do with my life.\n[00:02 - 00:03] Speaker B: What is that, sweetie?\n[00:04 - 00:05] Speaker A: I want to be a doctor.\n[00:06 - 00:07] Speaker B: Why do you want to be a doctor?\n[00:07 - 00:29] Speaker A: Because I want to help people. There are so many people in the world who are sick and need help, and I want to be able to help them. I know it won't be easy, but I'm willing to work hard to make a real difference in people's lives by dedicating myself to medical research and patient care, even if it means working long hours and facing difficult situations every day.\n[00:19 - 00:25] Speaker B: I just want to say, that's such a noble reason. But have you thought about the challenges, like the long hours and emotional toll?\n[00:25 - 00:34] Speaker A: Yes, I have. I know it won't be easy, but I'm determined to make a difference. I was about to say that I'm willing to work hard to achieve that.\n[00:34 - 00:38] Speaker B: That's very admirable, Tramaine. I'm sure you'll make an excellent doctor."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--58199.wav"]}
+{"messages": [{"role": "user", "content": "<audio>Analyze the dual-channel audio and transcript each speaker's sentences with timestamps. \nList the speaking segments and transcript text for each speaker in MM:SS-MM:SS format. \nOnly output time segments, speaker labels, and transcript text in a similar format. Do not include any explanation.\nFormat the output like this example: \n[00:00 - 00:13] Speaker A: transcript text \n[00:15 - 00:27] Speaker B: transcript text \n"}, {"role": "assistant", "content": "[00:00 - 00:02] Speaker A: I want to be a teacher because I want to help people.\n[00:03 - 00:04] Speaker B: Why do you want to help people?\n[00:05 - 00:22] Speaker A: Because I feel like it's my purpose in life. I want to make a difference in the world, and I believe that becoming a teacher will allow me to reach out to young minds and inspire them to achieve their full potential while also creating a positive ripple effect that extends far beyond the classroom walls.\n[00:12 - 00:22] Speaker B: Sorry to jump in, but when you say \"make a difference,\" do you mean in a specific way, like in the lives of children, or is it more about contributing to society as a whole?\n[00:22 - 00:35] Speaker A: It's more about both, actually. As a teacher, I will be able to influence my students and help them learn and grow. And if I can make even a small difference in their lives, then I think that's really important.\n[00:35 - 00:40] Speaker B: Do you think that there are other ways that you could make a difference in the world besides becoming a teacher?\n[00:40 - 00:49] Speaker A: Of course. There are endless ways that someone can make a difference in the world. But for me, becoming a teacher is the best way that I can see myself doing it."}], "audios": ["/root/autodl-tmp/output_overlapslong/json/overlap5s716/SODA_PROCESSED--train--716169.wav"]}
diff --git a/ms-swift/scripts/benchmark/exp_utils.py b/ms-swift/scripts/benchmark/exp_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..b7209691c8571c54aae206f36094cbd85e238353
--- /dev/null
+++ b/ms-swift/scripts/benchmark/exp_utils.py
@@ -0,0 +1,391 @@
+import os
+import shutil
+import subprocess
+import time
+from collections import deque
+from copy import deepcopy
+from dataclasses import asdict, dataclass, field
+from typing import Any, Dict, List
+
+import json
+import torch
+
+from swift.llm import ExportArguments
+from swift.utils import find_free_port, get_device_count, get_logger
+
+logger = get_logger()
+
+
+@dataclass
+class Experiment:
+
+    name: str
+
+    cmd: str
+
+    group: str
+
+    requirements: Dict = field(default_factory=dict)
+
+    eval_requirements: Dict = field(default_factory=dict)
+
+    eval_dataset: List = field(default_factory=list)
+
+    args: Dict = field(default_factory=dict)
+
+    env: Dict = field(default_factory=dict)
+
+    record: Dict = field(default_factory=dict)
+
+    create_time: float = None
+
+    runtime: Dict = field(default_factory=dict)
+
+    input_args: Any = None
+
+    do_eval = False
+
+    def __init__(self,
+                 name,
+                 cmd,
+                 group,
+                 requirements=None,
+                 eval_requirements=None,
+                 eval_dataset=None,
+                 args=None,
+                 input_args=None,
+                 **kwargs):
+        self.name = name
+        self.cmd = cmd
+        self.group = group
+        self.requirements = requirements or {}
+        self.args = args or {}
+        self.record = {}
+        self.env = {}
+        self.runtime = {}
+        self.input_args = input_args
+        self.eval_requirements = eval_requirements or {}
+        self.eval_dataset = eval_dataset or []
+        if self.cmd == 'eval':
+            self.do_eval = True
+
+    def load(self, _json):
+        self.name = _json['name']
+        self.cmd = _json['cmd']
+        self.requirements = _json['requirements']
+        self.args = _json['args']
+        self.record = _json['record']
+        self.env = _json['env']
+        self.create_time = _json['create_time']
+
+    @property
+    def priority(self):
+        return self.requirements.get('gpu', 0)
+
+    def to_dict(self):
+        _dict = asdict(self)
+        _dict.pop('runtime')
+        _dict.pop('input_args')
+        return _dict
+
+
+class ExpManager:
+
+    RESULT_FILE = 'result.jsonl'
+
+    def __init__(self):
+        self.exps = []
+
+    def assert_gpu_not_overlap(self):
+        all_gpus = set()
+        for exp in self.exps:
+            gpus = exp.runtime['env']['CUDA_VISIBLE_DEVICES'].split(',')
+            if all_gpus & set(gpus):
+                raise ValueError(f'GPU overlap: {self.exps}!')
+            all_gpus.update(gpus)
+
+    def run(self, exp: Experiment):
+        if os.path.exists(os.path.join(exp.input_args.save_dir, exp.name + '.json')):
+            with open(os.path.join(exp.input_args.save_dir, exp.name + '.json'), 'r', encoding='utf-8') as f:
+                _json = json.load(f)
+                if exp.eval_dataset and 'eval_result' not in _json['record']:
+                    if not exp.do_eval:
+                        logger.info(f'Experiment {exp.name} need eval, load from file.')
+                        exp.load(_json)
+                        exp.do_eval = True
+                else:
+                    logger.warn(f'Experiment {exp.name} already done, skip')
+                    return
+
+        if exp.do_eval:
+            runtime = self._build_eval_cmd(exp)
+            exp.runtime = runtime
+            envs = deepcopy(runtime.get('env', {}))
+            envs.update(os.environ)
+            logger.info(f'Running cmd: {runtime["running_cmd"]}, env: {runtime.get("env", {})}')
+            os.makedirs('exp', exist_ok=True)
+            log_file = os.path.join('exp', f'{exp.name}.eval.log')
+            exp.handler = subprocess.Popen(runtime['running_cmd'] + f' > {log_file} 2>&1', env=envs, shell=True)
+            self.exps.append(exp)
+            self.assert_gpu_not_overlap()
+            return
+
+        if any([exp.name == e.name for e in self.exps]):
+            raise ValueError(f'Why exp name duplicate? {exp.name}')
+        elif exp.cmd == 'export' and any([exp.cmd == 'export' for exp in self.exps]):  # noqa
+            raise AssertionError('Cannot run parallel export task.')
+        else:
+            exp.create_time = time.time()
+            runtime = self._build_cmd(exp)
+            exp.runtime = runtime
+            envs = deepcopy(runtime.get('env', {}))
+            envs.update(os.environ)
+            logger.info(f'Running cmd: {runtime["running_cmd"]}, env: {runtime.get("env", {})}')
+            os.makedirs('exp', exist_ok=True)
+            log_file = os.path.join('exp', f'{exp.name}.{exp.cmd}.log')
+            exp.handler = subprocess.Popen(runtime['running_cmd'] + f' > {log_file} 2>&1', env=envs, shell=True)
+            self.exps.append(exp)
+            self.assert_gpu_not_overlap()
+
+    def _build_eval_cmd(self, exp: Experiment):
+        gpu = exp.eval_requirements.get('gpu', None)
+        env = {}
+        allocated = []
+        if gpu:
+            allocated = self._find_free_gpu(int(gpu))
+            assert allocated, 'No free gpu for now!'
+            allocated = [str(gpu) for gpu in allocated]
+            env['CUDA_VISIBLE_DEVICES'] = ','.join(allocated)
+
+        best_model_checkpoint = exp.record.get('best_model_checkpoint')
+        eval_dataset = exp.eval_dataset
+        if best_model_checkpoint is not None:
+            if not os.path.exists(os.path.join(best_model_checkpoint, 'args.json')):
+                cmd = f'swift eval --ckpt_dir {best_model_checkpoint} ' \
+                      + f'--infer_backend pt --train_type full --eval_dataset {" ".join(eval_dataset)}'
+        else:
+            cmd = f'swift eval --model {exp.args.get("model")} --infer_backend pt ' \
+                  f'--eval_dataset {" ".join(eval_dataset)}'
+
+        return {
+            'running_cmd': cmd,
+            'gpu': allocated,
+            'env': env,
+        }
+
+    def _build_cmd(self, exp: Experiment):
+        gpu = exp.requirements.get('gpu', None)
+        env = {}
+        allocated = []
+        if gpu:
+            allocated = self._find_free_gpu(int(gpu))
+            assert allocated, 'No free gpu for now!'
+            allocated = [str(gpu) for gpu in allocated]
+            env['CUDA_VISIBLE_DEVICES'] = ','.join(allocated)
+        if int(exp.requirements.get('ddp', 1)) > 1:
+            env['NPROC_PER_NODE'] = exp.requirements.get('ddp')
+            env['MASTER_PORT'] = str(find_free_port())
+
+        if exp.cmd == 'sft':
+            from swift.llm import TrainArguments
+            args = exp.args
+            sft_args = TrainArguments(**args)
+            args['output_dir'] = sft_args.output_dir
+            args['logging_dir'] = sft_args.logging_dir
+            args['add_version'] = False
+            os.makedirs(sft_args.output_dir, exist_ok=True)
+            os.makedirs(sft_args.logging_dir, exist_ok=True)
+            cmd = 'swift sft '
+            for key, value in args.items():
+                cmd += f' --{key} {value}'
+        elif exp.cmd == 'rlhf':
+            from swift.llm import RLHFArguments
+            args = exp.args
+            rlhf_args = RLHFArguments(**args)
+            args['output_dir'] = rlhf_args.output_dir
+            args['logging_dir'] = rlhf_args.logging_dir
+            args['add_version'] = False
+            os.makedirs(rlhf_args.output_dir, exist_ok=True)
+            os.makedirs(rlhf_args.logging_dir, exist_ok=True)
+            cmd = 'swift rlhf '
+            for key, value in args.items():
+                cmd += f' --{key} {value}'
+        elif exp.cmd == 'export':
+            args = exp.args
+            cmd = 'swift export '
+            for key, value in args.items():
+                cmd += f' --{key} {value}'
+        else:
+            raise ValueError(f'Unsupported cmd type: {exp.cmd}')
+        return {
+            'running_cmd': cmd,
+            'gpu': allocated,
+            'env': env,
+            'logging_dir': args.get('logging_dir'),
+            'output_dir': args.get('output_dir', args.get('ckpt_dir'))
+        }
+
+    def _find_free_gpu(self, n):
+        all_gpus = set()
+        for exp in self.exps:
+            all_gpus.update(exp.runtime.get('gpu', set()))
+        all_gpus = {int(g) for g in all_gpus}
+        free_gpu = set(range(get_device_count())) - all_gpus
+        if len(free_gpu) < n:
+            return None
+        return list(free_gpu)[:n]
+
+    def prepare_experiments(self, args: Any):
+        experiments = []
+        for config_file in args.config:
+            with open(config_file, 'r', encoding='utf-8') as f:
+                group = os.path.basename(config_file)
+                group = group[:-5]
+                content = json.load(f)
+                exps = content['experiment']
+                for exp in exps:
+                    main_cfg = deepcopy(content)
+                    name = exp['name']
+                    cmd = main_cfg['cmd']
+                    run_args = main_cfg['args']
+                    env = main_cfg.get('env', {})
+                    requirements = main_cfg.get('requirements', {})
+                    eval_requirements = main_cfg.get('eval_requirements', {})
+                    eval_dataset = main_cfg.get('eval_dataset', {})
+                    if 'args' in exp:
+                        run_args.update(exp['args'])
+                    if 'requirements' in exp:
+                        requirements.update(exp['requirements'])
+                    if 'env' in exp:
+                        env.update(exp['env'])
+                    experiments.append(
+                        Experiment(
+                            group=group,
+                            name=name,
+                            cmd=cmd,
+                            args=run_args,
+                            env=env,
+                            requirements=requirements,
+                            eval_requirements=eval_requirements,
+                            eval_dataset=eval_dataset,
+                            input_args=args))
+        return experiments
+
+    @staticmethod
+    def _get_metric(exp: Experiment):
+        if exp.do_eval:
+            if os.path.isfile(os.path.join('exp', f'{exp.name}.eval.log')):
+                with open(os.path.join('exp', f'{exp.name}.eval.log'), 'r', encoding='utf-8') as f:
+                    for line in f.readlines():
+                        if 'Final report:' in line:
+                            return json.loads(line.split('Final report:')[1].replace('\'', '"'))
+        elif exp.cmd == 'export':
+            exp_args = ExportArguments(**exp.args)
+            if exp_args.quant_bits > 0:
+                if exp_args.ckpt_dir is None:
+                    path = f'{exp_args.model_type}-{exp_args.quant_method}-int{exp_args.quant_bits}'
+                else:
+                    ckpt_dir, ckpt_name = os.path.split(exp_args.ckpt_dir)
+                    path = os.path.join(ckpt_dir, f'{ckpt_name}-{exp_args.quant_method}-int{exp_args.quant_bits}')
+            else:
+                ckpt_dir, ckpt_name = os.path.split(exp_args.ckpt_dir)
+                path = os.path.join(ckpt_dir, f'{ckpt_name}-merged')
+            if os.path.exists(path):
+                shutil.rmtree(exp.name, ignore_errors=True)
+                os.makedirs(exp.name, exist_ok=True)
+                shutil.move(path, os.path.join(exp.name, path))
+                return {
+                    'best_model_checkpoint': os.path.join(exp.name, path),
+                }
+        else:
+            logging_dir = exp.runtime.get('logging_dir')
+            logging_file = os.path.join(logging_dir, '..', 'logging.jsonl')
+            if os.path.isfile(logging_file):
+                with open(logging_file, 'r', encoding='utf-8') as f:
+                    for line in f.readlines():
+                        if 'model_info' in line:
+                            return json.loads(line)
+        return None
+
+    @staticmethod
+    def write_record(exp: Experiment):
+        target_dir = exp.input_args.save_dir
+        file = os.path.join(target_dir, exp.name + '.json')
+        with open(file, 'w', encoding='utf-8') as f:
+            f.write(json.dumps(exp.to_dict()) + '\n')
+
+    def _poll(self):
+        while True:
+            time.sleep(5)
+
+            has_finished = False
+            for exp in self.exps:
+                rt = exp.handler.poll()
+                if rt is None:
+                    continue
+
+                has_finished = True
+                if rt == 0:
+                    if not exp.do_eval:
+                        all_metric = self._get_metric(exp)
+                        if all_metric:
+                            exp.record.update(all_metric)
+                            if exp.eval_dataset:
+                                exp.do_eval = True
+                                self.exp_queue.appendleft(exp)
+                            self.write_record(exp)
+                        else:
+                            logger.error(f'Running {exp.name} task, but no result found')
+                    else:
+                        all_metric = self._get_metric(exp)
+                        exp.record['eval_result'] = all_metric
+                        if all_metric:
+                            self.write_record(exp)
+                        else:
+                            logger.error(f'Running {exp.name} eval task, but no eval result found')
+                logger.info(f'Running {exp.name} finished with return code: {rt}')
+
+            if has_finished:
+                self.exps = [exp for exp in self.exps if exp.handler.poll() is None]
+                break
+
+    def begin(self, args: Any):
+        exps = self.prepare_experiments(args)
+        logger.info(f'all exps: {exps}')
+        exps.sort(key=lambda e: e.priority)
+        self.exp_queue = deque()
+        for exp in exps:
+            self.exp_queue.append(exp)
+
+        while len(self.exp_queue) or len(self.exps) > 0:
+            while len(self.exp_queue):
+                try:
+                    logger.info(f'Running exp: {self.exp_queue[0].name}')
+                    self.run(self.exp_queue[0])
+                except Exception as e:
+                    if not isinstance(e, AssertionError):
+                        logger.error(f'Adding exp {self.exp_queue[0].name} error because of:')
+                        logger.error(e)
+                        self.exp_queue.popleft()
+                    else:
+                        logger.info(f'Adding exp {self.exp_queue[0].name} error because of:', str(e))
+                    if 'no free gpu' in str(e).lower():
+                        break
+                    else:
+                        continue
+                else:
+                    self.exp_queue.popleft()
+            self._poll()
+        logger.info(f'Run task finished because of exp queue: {self.exp_queue} and exps: {self.exps}')
+
+
+def find_all_config(dir_or_file: str):
+    if os.path.isfile(dir_or_file):
+        return [dir_or_file]
+    else:
+        configs = []
+        for dirpath, dirnames, filenames in os.walk(dir_or_file):
+            for name in filenames:
+                if name.endswith('.json') and 'ipynb' not in dirpath:
+                    configs.append(os.path.join(dirpath, name))
+        return configs
diff --git a/ms-swift/scripts/utils/plot_loss.py b/ms-swift/scripts/utils/plot_loss.py
new file mode 100644
index 0000000000000000000000000000000000000000..79af850af5148028674a95fa829d64ba00c01502
--- /dev/null
+++ b/ms-swift/scripts/utils/plot_loss.py
@@ -0,0 +1,9 @@
+import os
+
+from swift.utils import plot_images
+
+ckpt_dir = 'output/xxx/vx-xxx'
+if __name__ == '__main__':
+    images_dir = os.path.join(ckpt_dir, 'images')
+    tb_dir = os.path.join(ckpt_dir, 'runs')
+    plot_images(images_dir, tb_dir, ['train/loss'], 0.9)
diff --git a/ms-swift/silence_overlaps/700/.ipynb_checkpoints/silence_isoverlap_train-checkpoint.json b/ms-swift/silence_overlaps/700/.ipynb_checkpoints/silence_isoverlap_train-checkpoint.json
new file mode 100644
index 0000000000000000000000000000000000000000..6644d9335ce1a26107451b0a99a8cd78961c411f
--- /dev/null
+++ b/ms-swift/silence_overlaps/700/.ipynb_checkpoints/silence_isoverlap_train-checkpoint.json
@@ -0,0 +1,1152 @@
+[
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1101857.wav",
+    "key": "SODA_PROCESSED--train--1101857",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--508884.wav",
+    "key": "SODA_PROCESSED--train--508884",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1113674.wav",
+    "key": "SODA_PROCESSED--train--1113674",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--158293.wav",
+    "key": "SODA_PROCESSED--train--158293",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--631363.wav",
+    "key": "SODA_PROCESSED--train--631363",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--277322.wav",
+    "key": "SODA_PROCESSED--train--277322",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1131940.wav",
+    "key": "SODA_PROCESSED--train--1131940",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1108753.wav",
+    "key": "SODA_PROCESSED--train--1108753",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--27924.wav",
+    "key": "SODA_PROCESSED--train--27924",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--374749.wav",
+    "key": "SODA_PROCESSED--train--374749",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--821468.wav",
+    "key": "SODA_PROCESSED--train--821468",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--416516.wav",
+    "key": "SODA_PROCESSED--train--416516",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1029082.wav",
+    "key": "SODA_PROCESSED--train--1029082",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--992151.wav",
+    "key": "SODA_PROCESSED--train--992151",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--744708.wav",
+    "key": "SODA_PROCESSED--train--744708",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--11862.wav",
+    "key": "SODA_PROCESSED--train--11862",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--419304.wav",
+    "key": "SODA_PROCESSED--train--419304",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--98673.wav",
+    "key": "SODA_PROCESSED--train--98673",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--22719.wav",
+    "key": "SODA_PROCESSED--train--22719",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1028263.wav",
+    "key": "SODA_PROCESSED--train--1028263",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--848051.wav",
+    "key": "SODA_PROCESSED--train--848051",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--511668.wav",
+    "key": "SODA_PROCESSED--train--511668",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--12047.wav",
+    "key": "SODA_PROCESSED--train--12047",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--153751.wav",
+    "key": "SODA_PROCESSED--train--153751",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--795559.wav",
+    "key": "SODA_PROCESSED--train--795559",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--387024.wav",
+    "key": "SODA_PROCESSED--train--387024",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1168213.wav",
+    "key": "SODA_PROCESSED--train--1168213",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1123711.wav",
+    "key": "SODA_PROCESSED--train--1123711",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--819618.wav",
+    "key": "SODA_PROCESSED--train--819618",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--752118.wav",
+    "key": "SODA_PROCESSED--train--752118",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--581770.wav",
+    "key": "SODA_PROCESSED--train--581770",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--276032.wav",
+    "key": "SODA_PROCESSED--train--276032",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--556475.wav",
+    "key": "SODA_PROCESSED--train--556475",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674667.wav",
+    "key": "SODA_PROCESSED--train--674667",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--501206.wav",
+    "key": "SODA_PROCESSED--train--501206",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--905725.wav",
+    "key": "SODA_PROCESSED--train--905725",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--265829.wav",
+    "key": "SODA_PROCESSED--train--265829",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--207527.wav",
+    "key": "SODA_PROCESSED--train--207527",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--985415.wav",
+    "key": "SODA_PROCESSED--train--985415",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--115102.wav",
+    "key": "SODA_PROCESSED--train--115102",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--8820.wav",
+    "key": "SODA_PROCESSED--train--8820",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--453454.wav",
+    "key": "SODA_PROCESSED--train--453454",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--375003.wav",
+    "key": "SODA_PROCESSED--train--375003",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--757426.wav",
+    "key": "SODA_PROCESSED--train--757426",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--202914.wav",
+    "key": "SODA_PROCESSED--train--202914",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1007416.wav",
+    "key": "SODA_PROCESSED--train--1007416",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--193891.wav",
+    "key": "SODA_PROCESSED--train--193891",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--96343.wav",
+    "key": "SODA_PROCESSED--train--96343",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1031234.wav",
+    "key": "SODA_PROCESSED--train--1031234",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--798455.wav",
+    "key": "SODA_PROCESSED--train--798455",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--438636.wav",
+    "key": "SODA_PROCESSED--train--438636",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--776766.wav",
+    "key": "SODA_PROCESSED--train--776766",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--691830.wav",
+    "key": "SODA_PROCESSED--train--691830",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--524306.wav",
+    "key": "SODA_PROCESSED--train--524306",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--471264.wav",
+    "key": "SODA_PROCESSED--train--471264",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--421778.wav",
+    "key": "SODA_PROCESSED--train--421778",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--541347.wav",
+    "key": "SODA_PROCESSED--train--541347",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1084325.wav",
+    "key": "SODA_PROCESSED--train--1084325",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--29039.wav",
+    "key": "SODA_PROCESSED--train--29039",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1182464.wav",
+    "key": "SODA_PROCESSED--train--1182464",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--735517.wav",
+    "key": "SODA_PROCESSED--train--735517",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--417260.wav",
+    "key": "SODA_PROCESSED--train--417260",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--784738.wav",
+    "key": "SODA_PROCESSED--train--784738",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--303363.wav",
+    "key": "SODA_PROCESSED--train--303363",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--795181.wav",
+    "key": "SODA_PROCESSED--train--795181",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--33760.wav",
+    "key": "SODA_PROCESSED--train--33760",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--126878.wav",
+    "key": "SODA_PROCESSED--train--126878",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--317167.wav",
+    "key": "SODA_PROCESSED--train--317167",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--463322.wav",
+    "key": "SODA_PROCESSED--train--463322",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--51285.wav",
+    "key": "SODA_PROCESSED--train--51285",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1081079.wav",
+    "key": "SODA_PROCESSED--train--1081079",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--58199.wav",
+    "key": "SODA_PROCESSED--train--58199",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1017701.wav",
+    "key": "SODA_PROCESSED--train--1017701",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--762267.wav",
+    "key": "SODA_PROCESSED--train--762267",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--4948.wav",
+    "key": "SODA_PROCESSED--train--4948",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--737676.wav",
+    "key": "SODA_PROCESSED--train--737676",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--606362.wav",
+    "key": "SODA_PROCESSED--train--606362",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674832.wav",
+    "key": "SODA_PROCESSED--train--674832",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--588465.wav",
+    "key": "SODA_PROCESSED--train--588465",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--386163.wav",
+    "key": "SODA_PROCESSED--train--386163",
+    "model_output": "No significant overlaps found."
+  },
+  {
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+    "key": "SODA_PROCESSED--train--803822",
+    "model_output": "No significant overlaps found."
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+  {
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+    "key": "SODA_PROCESSED--train--928982",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--371354.wav",
+    "key": "SODA_PROCESSED--train--371354",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--12295.wav",
+    "key": "SODA_PROCESSED--train--12295",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1030451.wav",
+    "key": "SODA_PROCESSED--train--1030451",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--168398.wav",
+    "key": "SODA_PROCESSED--train--168398",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--556505.wav",
+    "key": "SODA_PROCESSED--train--556505",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--123906.wav",
+    "key": "SODA_PROCESSED--train--123906",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1120331.wav",
+    "key": "SODA_PROCESSED--train--1120331",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--121129.wav",
+    "key": "SODA_PROCESSED--train--121129",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--690063.wav",
+    "key": "SODA_PROCESSED--train--690063",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--334902.wav",
+    "key": "SODA_PROCESSED--train--334902",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--442672.wav",
+    "key": "SODA_PROCESSED--train--442672",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--640494.wav",
+    "key": "SODA_PROCESSED--train--640494",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--171463.wav",
+    "key": "SODA_PROCESSED--train--171463",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--565809.wav",
+    "key": "SODA_PROCESSED--train--565809",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--329396.wav",
+    "key": "SODA_PROCESSED--train--329396",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1090942.wav",
+    "key": "SODA_PROCESSED--train--1090942",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--980776.wav",
+    "key": "SODA_PROCESSED--train--980776",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--29858.wav",
+    "key": "SODA_PROCESSED--train--29858",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--596349.wav",
+    "key": "SODA_PROCESSED--train--596349",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--604536.wav",
+    "key": "SODA_PROCESSED--train--604536",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--500115.wav",
+    "key": "SODA_PROCESSED--train--500115",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--605295.wav",
+    "key": "SODA_PROCESSED--train--605295",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--310941.wav",
+    "key": "SODA_PROCESSED--train--310941",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1051089.wav",
+    "key": "SODA_PROCESSED--train--1051089",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--187351.wav",
+    "key": "SODA_PROCESSED--train--187351",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--645254.wav",
+    "key": "SODA_PROCESSED--train--645254",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1066203.wav",
+    "key": "SODA_PROCESSED--train--1066203",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--913166.wav",
+    "key": "SODA_PROCESSED--train--913166",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--583204.wav",
+    "key": "SODA_PROCESSED--train--583204",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--575640.wav",
+    "key": "SODA_PROCESSED--train--575640",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--109428.wav",
+    "key": "SODA_PROCESSED--train--109428",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--246434.wav",
+    "key": "SODA_PROCESSED--train--246434",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--977434.wav",
+    "key": "SODA_PROCESSED--train--977434",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--665430.wav",
+    "key": "SODA_PROCESSED--train--665430",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--960193.wav",
+    "key": "SODA_PROCESSED--train--960193",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--31287.wav",
+    "key": "SODA_PROCESSED--train--31287",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--254497.wav",
+    "key": "SODA_PROCESSED--train--254497",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--774546.wav",
+    "key": "SODA_PROCESSED--train--774546",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--273875.wav",
+    "key": "SODA_PROCESSED--train--273875",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--822773.wav",
+    "key": "SODA_PROCESSED--train--822773",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1052554.wav",
+    "key": "SODA_PROCESSED--train--1052554",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--179972.wav",
+    "key": "SODA_PROCESSED--train--179972",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1117467.wav",
+    "key": "SODA_PROCESSED--train--1117467",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--961025.wav",
+    "key": "SODA_PROCESSED--train--961025",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--923496.wav",
+    "key": "SODA_PROCESSED--train--923496",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--41171.wav",
+    "key": "SODA_PROCESSED--train--41171",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--679971.wav",
+    "key": "SODA_PROCESSED--train--679971",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--876910.wav",
+    "key": "SODA_PROCESSED--train--876910",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--617278.wav",
+    "key": "SODA_PROCESSED--train--617278",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--463700.wav",
+    "key": "SODA_PROCESSED--train--463700",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1186623.wav",
+    "key": "SODA_PROCESSED--train--1186623",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1076109.wav",
+    "key": "SODA_PROCESSED--train--1076109",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--414445.wav",
+    "key": "SODA_PROCESSED--train--414445",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--546350.wav",
+    "key": "SODA_PROCESSED--train--546350",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1144076.wav",
+    "key": "SODA_PROCESSED--train--1144076",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--104948.wav",
+    "key": "SODA_PROCESSED--train--104948",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--836740.wav",
+    "key": "SODA_PROCESSED--train--836740",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--437951.wav",
+    "key": "SODA_PROCESSED--train--437951",
+    "model_output": "No significant overlaps found."
+  }
+]
\ No newline at end of file
diff --git a/ms-swift/silence_overlaps/700/original/silence_isoverlaps.json b/ms-swift/silence_overlaps/700/original/silence_isoverlaps.json
new file mode 100644
index 0000000000000000000000000000000000000000..02445cd0a1fbcdc5382dbf165f266a4f66ffaa7e
--- /dev/null
+++ b/ms-swift/silence_overlaps/700/original/silence_isoverlaps.json
@@ -0,0 +1,3887 @@
+[
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--113543.wav",
+    "key": "SODA_PROCESSED--train--113543",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--58199.wav",
+    "key": "SODA_PROCESSED--train--58199",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--560596.wav",
+    "key": "SODA_PROCESSED--train--560596",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1131940.wav",
+    "key": "SODA_PROCESSED--train--1131940",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--726661.wav",
+    "key": "SODA_PROCESSED--train--726661",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--729816.wav",
+    "key": "SODA_PROCESSED--train--729816",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--520823.wav",
+    "key": "SODA_PROCESSED--train--520823",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1123711.wav",
+    "key": "SODA_PROCESSED--train--1123711",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--822773.wav",
+    "key": "SODA_PROCESSED--train--822773",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--931585.wav",
+    "key": "SODA_PROCESSED--train--931585",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--546350.wav",
+    "key": "SODA_PROCESSED--train--546350",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559292.wav",
+    "key": "SODA_PROCESSED--train--559292",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--460378.wav",
+    "key": "SODA_PROCESSED--train--460378",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--931341.wav",
+    "key": "SODA_PROCESSED--train--931341",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--242753.wav",
+    "key": "SODA_PROCESSED--train--242753",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--964867.wav",
+    "key": "SODA_PROCESSED--train--964867",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--64931.wav",
+    "key": "SODA_PROCESSED--train--64931",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--760966.wav",
+    "key": "SODA_PROCESSED--train--760966",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1113559.wav",
+    "key": "SODA_PROCESSED--train--1113559",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--737726.wav",
+    "key": "SODA_PROCESSED--train--737726",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--370577.wav",
+    "key": "SODA_PROCESSED--train--370577",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1001007.wav",
+    "key": "SODA_PROCESSED--train--1001007",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--640525.wav",
+    "key": "SODA_PROCESSED--train--640525",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--399572.wav",
+    "key": "SODA_PROCESSED--train--399572",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--803822.wav",
+    "key": "SODA_PROCESSED--train--803822",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1186756.wav",
+    "key": "SODA_PROCESSED--train--1186756",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--42187.wav",
+    "key": "SODA_PROCESSED--train--42187",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1022129.wav",
+    "key": "SODA_PROCESSED--train--1022129",
+    "model_output": "No significant overlaps found."
+  },
+  {
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--449689.wav",
+    "key": "SODA_PROCESSED--train--449689",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1188772.wav",
+    "key": "SODA_PROCESSED--train--1188772",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--536240.wav",
+    "key": "SODA_PROCESSED--train--536240",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--682132.wav",
+    "key": "SODA_PROCESSED--train--682132",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--934119.wav",
+    "key": "SODA_PROCESSED--train--934119",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674707.wav",
+    "key": "SODA_PROCESSED--train--674707",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--894939.wav",
+    "key": "SODA_PROCESSED--train--894939",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--231370.wav",
+    "key": "SODA_PROCESSED--train--231370",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--445827.wav",
+    "key": "SODA_PROCESSED--train--445827",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--822538.wav",
+    "key": "SODA_PROCESSED--train--822538",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--498603.wav",
+    "key": "SODA_PROCESSED--train--498603",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--584031.wav",
+    "key": "SODA_PROCESSED--train--584031",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--431708.wav",
+    "key": "SODA_PROCESSED--train--431708",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--350446.wav",
+    "key": "SODA_PROCESSED--train--350446",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--737676.wav",
+    "key": "SODA_PROCESSED--train--737676",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--762905.wav",
+    "key": "SODA_PROCESSED--train--762905",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1025535.wav",
+    "key": "SODA_PROCESSED--train--1025535",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--690063.wav",
+    "key": "SODA_PROCESSED--train--690063",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--214621.wav",
+    "key": "SODA_PROCESSED--train--214621",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--844892.wav",
+    "key": "SODA_PROCESSED--train--844892",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--185821.wav",
+    "key": "SODA_PROCESSED--train--185821",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--795559.wav",
+    "key": "SODA_PROCESSED--train--795559",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--934782.wav",
+    "key": "SODA_PROCESSED--train--934782",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--49462.wav",
+    "key": "SODA_PROCESSED--train--49462",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--164800.wav",
+    "key": "SODA_PROCESSED--train--164800",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--162106.wav",
+    "key": "SODA_PROCESSED--train--162106",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--69581.wav",
+    "key": "SODA_PROCESSED--train--69581",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--757426.wav",
+    "key": "SODA_PROCESSED--train--757426",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1112132.wav",
+    "key": "SODA_PROCESSED--train--1112132",
+    "model_output": "No significant overlaps found."
+  }
+]
\ No newline at end of file
diff --git a/ms-swift/silence_overlaps/700/test/.ipynb_checkpoints/overlap5s_silence_segments_test-checkpoint.json b/ms-swift/silence_overlaps/700/test/.ipynb_checkpoints/overlap5s_silence_segments_test-checkpoint.json
new file mode 100644
index 0000000000000000000000000000000000000000..426df9300e30f80e16632b75a531b166bb8f8676
--- /dev/null
+++ b/ms-swift/silence_overlaps/700/test/.ipynb_checkpoints/overlap5s_silence_segments_test-checkpoint.json
@@ -0,0 +1,27 @@
+[
+  {
+    "key": "SODA_PROCESSED--train--137471",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--137471.wav",
+    "model_output": "No, there is no silence gap."
+  },
+  {
+    "key": "SODA_PROCESSED--train--201044",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--201044.wav",
+    "model_output": "No, there is no silence gap."
+  },
+  {
+    "key": "SODA_PROCESSED--train--596349",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--596349.wav",
+    "model_output": "No, there is no silence gap."
+  },
+  {
+    "key": "SODA_PROCESSED--train--956648",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--956648.wav",
+    "model_output": "No, there is no silence gap."
+  },
+  {
+    "key": "SODA_PROCESSED--train--962210",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--962210.wav",
+    "model_output": "No, there is no silence gap."
+  }
+]
\ No newline at end of file
diff --git a/ms-swift/silence_overlaps/700/test/overlap5s_speaker_segments_test.json b/ms-swift/silence_overlaps/700/test/overlap5s_speaker_segments_test.json
new file mode 100644
index 0000000000000000000000000000000000000000..a2ce57493e06e3309a66735e26dbf0df9b308605
--- /dev/null
+++ b/ms-swift/silence_overlaps/700/test/overlap5s_speaker_segments_test.json
@@ -0,0 +1,27 @@
+[
+  {
+    "key": "SODA_PROCESSED--train--254497",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--254497.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:06-00:14, 00:23-00:26, 00:31-00:35\nSpeaker B: 00:03-00:15, 00:16-00:22, 00:27-00:30"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1185164",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1185164.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:04-00:20, 00:20-00:33, 00:41-00:46, 00:52-00:54\nSpeaker B: 00:02-00:03, 00:09-00:15, 00:33-00:40, 00:47-00:52"
+  },
+  {
+    "key": "SODA_PROCESSED--train--205413",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--205413.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:03-00:05, 00:15-00:18, 00:28-00:31, 00:36-00:40\nSpeaker B: 00:02-00:09, 00:09-00:15, 00:19-00:28, 00:32-00:36, 00:40-00:41"
+  },
+  {
+    "key": "SODA_PROCESSED--train--585968",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--585968.wav",
+    "model_output": "Speaker A: 00:00-00:15, 00:15-00:23, 00:29-00:33, 00:36-00:43, 00:51-00:57, 01:05-01:08, 01:13-01:16\nSpeaker B: 00:06-00:14, 00:24-00:28, 00:33-00:36, 00:43-00:51, 00:57-01:04, 01:09-01:12, 01:17-01:18"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1079940",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1079940.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:07-00:12, 00:18-00:22, 00:32-00:37, 00:43-00:46\nSpeaker B: 00:04-00:13, 00:14-00:17, 00:23-00:32, 00:38-00:42"
+  }
+]
\ No newline at end of file
diff --git a/ms-swift/silence_overlaps/700/test/silence_speaker_segments_test.json b/ms-swift/silence_overlaps/700/test/silence_speaker_segments_test.json
new file mode 100644
index 0000000000000000000000000000000000000000..b7722ba6ef0a3e62685fdb9725b7d41b10c09680
--- /dev/null
+++ b/ms-swift/silence_overlaps/700/test/silence_speaker_segments_test.json
@@ -0,0 +1,27 @@
+[
+  {
+    "key": "SODA_PROCESSED--train--869455",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--869455.wav",
+    "model_output": "Speaker A: 00:00-00:11, 00:15-00:25, 00:27-00:38, 00:41-00:53\nSpeaker B: 00:12-00:15, 00:25-00:27, 00:39-00:42"
+  },
+  {
+    "key": "SODA_PROCESSED--train--420178",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--420178.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:04-00:08, 00:10-00:19, 00:31-00:46, 00:50-00:52\nSpeaker B: 00:01-00:03, 00:08-00:09, 00:18-00:26, 00:47-00:49"
+  },
+  {
+    "key": "SODA_PROCESSED--train--836740",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--836740.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:07-00:15, 00:25-00:29, 00:43-00:48\nSpeaker B: 00:04-00:08, 00:20-00:24, 00:29-00:42, 00:48-00:54"
+  },
+  {
+    "key": "SODA_PROCESSED--train--64931",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--64931.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:05-00:08, 00:23-00:28, 00:32-00:39\nSpeaker B: 00:03-00:06, 00:13-00:22, 00:29-00:32"
+  },
+  {
+    "key": "SODA_PROCESSED--train--193891",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--193891.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:04-00:09, 00:14-00:21, 00:38-00:47, 00:56-01:05\nSpeaker B: 00:01-00:03, 00:09-00:15, 00:26-00:38, 00:48-00:56, 01:05-01:10"
+  }
+]
\ No newline at end of file
diff --git a/ms-swift/silence_overlaps/700/train/overlap5s_transcriptions_train.json b/ms-swift/silence_overlaps/700/train/overlap5s_transcriptions_train.json
new file mode 100644
index 0000000000000000000000000000000000000000..c490017b777bf68f90dac17ee77e4ee6442bcce3
--- /dev/null
+++ b/ms-swift/silence_overlaps/700/train/overlap5s_transcriptions_train.json
@@ -0,0 +1,3522 @@
+[
+  {
+    "key": "SODA_PROCESSED--train--698246",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--698246.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: I can't believe I have to cancel my tickets to the concert. I was really looking forward to seeing my favorite band.\n[00:07 - 00:09] Speaker B: I'm sorry to hear that, Avery. What happened?\n[00:10 - 00:26] Speaker A: Well, my boss called me into his office this morning and told me that I needed to cancel my plans for the weekend and work instead. I was so upset that I almost walked out right then and there because I had been planning this concert for months and even bought special merchandise to wear for the occasion.\n[00:19 - 00:22] Speaker B: Wait, did you actually consider quitting? That sounds serious.\n[00:27 - 00:39] Speaker A: I did consider it for a moment, but I didn't go through with it. I just felt so frustrated. He said that someone else called in sick and they needed me to cover their shift. It's just not fair!\n[00:39 - 00:44] Speaker B: That sounds really tough. It's too bad you couldn't get a different shift at work or take the day off.\n[00:44 - 00:54] Speaker A: Yeah, I tried everything, but he said no. I guess I'll just have to miss the concert. Maybe I can go another time or just listen to their music online.\n[00:55 - 00:59] Speaker B: Yeah, maybe you're right. Thanks for trying to make me feel better, friend."
+  },
+  {
+    "key": "SODA_PROCESSED--train--727873",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--727873.wav",
+    "model_output": "[00:00 - 00:15] Speaker A: Hey doc, I've been feeling really good lately. I've been losing weight, working out more, and eating healthier meals consisting of lean proteins, fresh vegetables, and whole grains, which I think has made a big difference in my overall well-being and mental clarity.\n[00:06 - 00:15] Speaker B: That's fantastic! Before you continue, I just want to ask—have you noticed any changes in your energy levels or sleep patterns since you started these new habits?\n[00:16 - 00:26] Speaker A: Actually, yes! My energy levels have gone up, and I've been sleeping better too. I feel like I'm finally getting my life back on track. I'm so much happier now.\n[00:27 - 00:35] Speaker B: Well, congratulations! You should be very proud of yourself. Making these changes can be difficult, but it sounds like you're doing a great job. Keep up the good work!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--674832",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--674832.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I don't understand, Aubre. You told me you loved me.\n[00:03 - 00:07] Speaker B: I do love you, Maniyah. But I can't be with you anymore.\n[00:07 - 00:16] Speaker A: Why? What did I do wrong? What happened to make you feel this way after all the beautiful moments we've shared and the promises we made to each other?\n[00:08 - 00:11] Speaker B: I just can't. It's not you, it's me.\n[00:16 - 00:22] Speaker A: That's such a cop-out answer! You're obviously hiding something from me. Just tell me the truth!\n[00:23 - 00:31] Speaker B: I am telling you the truth! I just don't think we should be together anymore, that's  the best decision for both of us in the long run because we want different things from life and our relationship.\n[00:31 - 00:36] Speaker A: But why, Aubre? What changed? You owe me at least that much!\n[00:37 - 00:38] Speaker B: It's not like that at all!\n[00:39 - 00:44] Speaker A: Then explain it to me! Because from where I'm standing, it looks an awful lot like that!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--280675",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--280675.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Wow, I really love your painting of the cityscape! It's so beautiful and detailed.\n[00:05 - 00:06] Speaker B: Thank you, I'm glad you like it.\n[00:07 - 00:13] Speaker A: I'm actually thinking about getting a cityscape tattooed on my back. Would you be able to help me with that?\n[00:13 - 00:27] Speaker B: Sure, I can help you with that. What kind of cityscape are you thinking of incorporating into the design? I could create something custom that captures the energy and architecture of your favorite urban landscape in a way that flows perfectly with your body's contours.\n[00:17 - 00:24] Speaker A: Actually, I was considering New York City. I love the skyline, especially how the buildings light up at night.\n[00:27 - 00:38] Speaker B: Okay, that sounds like a great idea. I can help you with that. Do you have any specific landmarks or buildings in mind, like the Empire State or the Brooklyn Bridge? Those could really add to the overall look.\n[00:39 - 00:45] Speaker A: Oh, definitely the Empire State Building! And maybe the Statue of Liberty too. Those are must-haves for me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1107765",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1107765.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey Sade, how's it going?\n[00:01 - 00:04] Speaker B: Hey Marcia. It's going good. How are you?\n[00:04 - 00:19] Speaker A: I'm doing well. Thanks for asking. So, what do you think of the job so far? It seems like you're really settling in and getting comfortable with the team dynamics and workflow processes, which is great to see since you're such a valuable addition to our department.\n[00:13 - 00:24] Speaker B: I like it. It's challenging and I'm learning new things all the time. Plus, it's great to work with you. You're always so positive and upbeat, which makes the work go by much smoother and enjoyable.\n[00:24 - 00:31] Speaker A: Sorry to cut in, but I just remembered something. Have you had a chance to look at the new project guidelines sent out yesterday?\n[00:32 - 00:40] Speaker B: Oh, I haven't checked them yet. I'll make sure to review them later today. But as I was saying, your attitude really helps in making the work go by quicker.\n[00:40 - 00:49] Speaker A: Yeah, I enjoy working with you too. You're a hard worker and always have a good attitude. I think we make a great team.\n[00:49 - 00:54] Speaker B: Absolutely! We always seem to be able to get the job done quickly and efficiently when we're working together.\n[00:55 - 01:02] Speaker A: Yeah, I definitely think so too. I think we have a good dynamic and are able to complement each other's strengths.\n[01:03 - 01:10] Speaker B: I agree. I think we make a great team and I'm really glad to be working with you. By the way, what were those new project guidelines about?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--123906",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--123906.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: You know, it's really annoying when things are loose and they just don't stay in place like they're supposed to, especially when you're in the middle of an important task and everything keeps falling apart because of poor craftsmanship.\n[00:03 - 00:09] Speaker B: Oh, absolutely! Like when you try to hang something, and it just won't stay in place. Why can't they just be tight and sturdy?\n[00:13 - 00:19] Speaker A: Exactly! It drives me crazy when I see a loose screw or a crooked picture frame.\n[00:19 - 00:26] Speaker B: Yeah, it's like they're just begging to be fixed. But you know, sometimes I wonder if people even notice these things or if it's just us.\n[00:26 - 00:39] Speaker A: Right? And it's not like it's that hard to fix them, but people just don't bother. Or they don't have the time, or they don't know how. But it just drives me up the wall when things are out of place or not functioning properly.\n[00:39 - 00:51] Speaker B: I totally get you. There's nothing worse than trying to use something and it's just not working right because someone didn't take the time to fix it properly. Speaking of which, do you think it's just laziness, or maybe they don't have the right tools?\n[00:52 - 00:58] Speaker A: It could be either, honestly. But what's the point of having things if they're just going to be broken and dysfunctional?\n[00:59 - 01:03] Speaker B: Yeah, it's really frustrating. Especially when it's something you need to use regularly.\n[01:04 - 01:12] Speaker A: I know, I feel like I could go on about this forever. But I should probably get back to tightening this screw before it drives me even crazier.\n[01:12 - 01:16] Speaker B: Yeah, you probably should. Thanks for fixing that, by the way.\n[01:16 - 01:21] Speaker A: No problem. Just doing my part to keep things in working order around here."
+  },
+  {
+    "key": "SODA_PROCESSED--train--667784",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--667784.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Hey, do you want to go for a walk with me? I need to get some fresh air and clear my head after spending the entire morning stuck in meetings and staring at my computer screen without a break.\n[00:04 - 00:11] Speaker B: Sorry to cut in, but I was just thinking, do you have a specific route in mind? I was hoping we could go somewhere with a bit more greenery.\n[00:11 - 00:20] Speaker A: That sounds good. I was thinking of heading towards the park, actually. It's so nice out today. I wish we could go hiking or something.\n[00:21 - 00:27] Speaker B: Yeah, that would be great. I love hiking. It's such a great way to get some exercise and see nature at the same time.\n[00:28 - 00:34] Speaker A: Exactly! And it's so peaceful being out in nature, away from all the hustle and bustle of the city.\n[00:35 - 00:41] Speaker B: Yes, definitely. Sometimes I feel like I need to get away from everything and just breathe in some fresh air.\n[00:41 - 00:47] Speaker A: I know what you mean. Well, maybe we can go hiking next weekend if the weather is nice.\n[00:47 - 00:53] Speaker B: Oh, speaking of next weekend, do you think we should invite anyone else? It might be fun to go as a group.\n[00:54 - 01:05] Speaker A: That could be fun. I was just going to say we could bring our cameras and take some  pictures while we're out there to capture the beautiful scenery and maybe even spot some wildlife if we're lucky enough."
+  },
+  {
+    "key": "SODA_PROCESSED--train--928982",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--928982.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Joe. I wanted to talk to you about something.\n[00:03 - 00:04] Speaker B: What's up?\n[00:04 - 00:19] Speaker A: I've been thinking about becoming a professional boxer and I've already started researching training programs and nutrition plans to get myself in peak physical condition for the ring. I know it sounds crazy, but I've been really inspired lately.\n[00:06 - 00:10] Speaker B: Wait, are you serious? Have you been boxing before?\n[00:19 - 00:24] Speaker A: No, but I've always wanted to try it. And I think I'm pretty good at it.\n[00:24 - 00:41] Speaker B: It's not just about being good at it. Boxing is a really tough sport. It takes a lot of dedication and discipline. Are you sure you're ready  to commit to the intense training and lifestyle changes that come with it, including early morning workouts, strict dieting, and potentially dangerous sparring sessions?\n[00:41 - 00:46] Speaker A: I know it's tough, but I'm ready for the challenge. I'm willing to put in the work.\n[00:47 - 00:51] Speaker B: Okay, well let me know if you change your mind. In the meantime, I'll start teaching you some basics."
+  },
+  {
+    "key": "SODA_PROCESSED--train--501206",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--501206.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I've been thinking a lot about having a child.\n[00:03 - 00:04] Speaker B: Oh? What's brought this on?\n[00:04 - 00:23] Speaker A: I don't know... I just feel like I'm ready to take on the responsibility of caring for another human being. And I want to raise a child with my own values and create a nurturing environment where they can thrive and grow into compassionate, well-rounded individuals who can contribute positively to society.\n[00:15 - 00:21] Speaker B: Wait, when you say \"values and beliefs,\" do you mean the ones we both share, or are there specific ones you're thinking of?\n[00:24 - 00:39] Speaker A: I think it's a mix of both. I want to make sure we instill the values that are important to us as a couple. But obviously, it's a huge commitment, and I'm willing to make that because I believe it will be one of the most rewarding experiences of our lives.\n[00:39 - 00:46] Speaker B: I agree, it's a massive commitment. But before we go any further, have we thought about how this will impact our current lifestyle?\n[00:46 - 00:54] Speaker A: That's a good point. We should definitely discuss how this decision will affect our day-to-day lives and make sure we're fully prepared."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1059254",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1059254.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: I just feel so frustrated sometimes, you know? It feels like we're not making any progress at work, and it's starting to get to me, especially when I see how much effort we're putting in without seeing tangible results.\n[00:05 - 00:12] Speaker B: I understand your frustration, but do you think there might be specific obstacles we're not addressing that's causing this feeling?\n[00:12 - 00:20] Speaker A: Maybe, but it's just that sometimes I feel like what I'm doing doesn't matter. That no matter how hard I try, it's never going to be enough.\n[00:21 - 00:26] Speaker B: Sierrah, listen to me. What you're doing does matter. You are making a difference. Don't ever doubt that.\n[00:27 - 00:37] Speaker A: I guess I just need some reassurance  from time to time, especially when things get tough and I start questioning whether I'm on the right path or making the right decisions.\n[00:37 - 00:44] Speaker B: Absolutely, and it's completely normal to feel that way. Can you think of any recent successes that might remind you of your impact?\n[00:45 - 00:54] Speaker A: I understand. But you have to believe in yourself, Sierrah. You are strong and capable, and you can make a difference. Never give up on your dreams."
+  },
+  {
+    "key": "SODA_PROCESSED--train--89079",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--89079.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, how's it going?\n[00:02 - 00:03] Speaker B: Not bad. You buying some vodka?\n[00:04 - 00:16] Speaker A: Yeah, I saw that you had my favorite brand so I decided to pick up a bottle for the weekend since I'm hosting a small gathering with some close friends who appreciate good quality spirits.\n[00:08 - 00:15] Speaker B: Sorry to jump in, but which brand is your favorite? I'm always curious about what people prefer.\n[00:16 - 00:20] Speaker A: Oh, it's the Grey Goose. I find it really smooth.\n[00:20 - 00:23] Speaker B: Good choice. Let me know if you need anything else.\n[00:23 - 00:24] Speaker A: Thanks, I will.\n[00:25 - 00:26] Speaker B: So, do you like working here?\n[00:27 - 00:41] Speaker A: Yeah, it's a pretty good job. I like being able to talk to people and help them find what they're  looking for, especially when they need recommendations or have specific questions about different products and their unique characteristics.\n[00:41 - 00:46] Speaker B: Oh, speaking of helping people, have you ever had a really difficult customer?\n[00:46 - 00:54] Speaker A: Yeah, there have been a few tough ones, especially during the weekends when it gets busy. But it's not too bad during the weekdays.\n[00:54 - 00:57] Speaker B: That's good. I'm sure you're glad to have a job that you enjoy.\n[00:58 - 01:03] Speaker A: Absolutely. I definitely feel blessed to have found a job that I like so much."
+  },
+  {
+    "key": "SODA_PROCESSED--train--13635",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--13635.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Mom, I really want to try out for the talent show. I know I can sing well and I would love to have the chance to share my gift with others. Can you please help me fill out the application?\n[00:11 - 00:27] Speaker B: Sure, Greyson. Let me see the application. (Greyson hands over the application and his mother starts filling it out.) So, what made you decide that you wanted to audition for the talent show? Was there something specific that inspired you, like seeing another performer or wanting to challenge yourself creatively?\n[00:21 - 00:33] Speaker A: Actually, I've always loved singing and performing in front of people. And I thought this would be a great opportunity to showcase my talent. Plus, it would be really cool to win first prize!\n[00:33 - 00:50] Speaker B: That's definitely a valid reason for wanting to audition. And I think you have a good shot at winning if you give it your best effort. Just make sure you practice a lot so you're fully prepared and confident when you step on stage, remembering to focus on your breathing techniques and maintaining good posture throughout your performance.\n[00:48 - 00:58] Speaker A: Oh, I will, Mom! I've already started practicing every day. I'm so excited for the audition! Thank you so much for helping me with the application.\n[00:58 - 01:00] Speaker B: You're welcome, Greyson. Good luck!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--258235",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--258235.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Thank you so much for helping me find the perfect dress! I feel like a million bucks in it.\n[00:05 - 00:16] Speaker B: You're welcome, Waleed! I'm glad we were able to find something that made you feel confident and ready for your upcoming event while also complementing your personal style and making you stand out in the best possible way.\n[00:10 - 00:18] Speaker A: Oh, speaking of confidence, I have a big event coming up next week. Do you think this dress is appropriate for a formal dinner?\n[00:18 - 00:25] Speaker B: Absolutely, this dress is versatile enough for a formal dinner. It's always our goal to help our customers feel their best.\n[00:25 - 00:31] Speaker A: Well, you definitely succeeded with me. I'll definitely be back the next time I need something special.\n[00:31 - 00:33] Speaker B: We look forward to seeing you again soon!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--463700",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--463700.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, how's it going?\n[00:01 - 00:04] Speaker B: Not too bad. Just trying to stay busy these days.\n[00:04 - 00:18] Speaker A: Yeah, I know what you mean. It's tough just sitting around and not having much to do can really get to you after a while, especially when you're used to being more active and engaged in various activities throughout your day.\n[00:08 - 00:15] Speaker B: Sorry to jump in, but have you found anything specific to keep yourself busy with? I'm always looking for new ideas.\n[00:18 - 00:24] Speaker A: Mostly work and a bit of reading, but nothing too exciting. I feel like I'm going stir crazy lately.\n[00:25 - 00:29] Speaker B: Yeah, I can imagine. Do you ever get out and do anything fun?\n[00:29 - 00:35] Speaker A: Occasionally, but not as much as I used to. I've been thinking about taking up a new hobby though.\n[00:35 - 00:38] Speaker B: That sounds like a good idea. What are you thinking about?\n[00:38 - 00:46] Speaker A: I'm not really sure. I've been considering a few different things, but I can't seem to decide on anything that really excites me.\n[00:46 - 00:52] Speaker B: Maybe you could try something creative, like painting or writing? Sometimes it helps to explore different outlets.\n[00:52 - 00:59] Speaker A: That's a good suggestion. I hadn't thought about that. I'll have to keep that in mind. Thanks for the advice."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1794",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1794.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hey, Mom.\n[00:01 - 00:02] Speaker B: Hey, Moriah. What's up?\n[00:03 - 00:05] Speaker A: Not much. Just hanging out in my room.\n[00:06 - 00:08] Speaker B: That's good. I'm glad you're keeping busy.\n[00:08 - 00:18] Speaker A: Yeah, I'm just trying to stay out of everyone's way and focus on my own things because I've been feeling a bit overwhelmed with school and social stuff lately.\n[00:11 - 00:18] Speaker B: Trouble? Is everything okay? I mean, you know you can always talk to me if something's bothering you.\n[00:18 - 00:21] Speaker A: I'm just kind of going through some stuff right now.\n[00:21 - 00:34] Speaker B: Well, your father and I were just talking about how we need to have a serious talk with you about some things that have been going on  around the house and how you've been feeling lately because we've noticed some changes in your behavior and we're genuinely concerned about your well-being.\n[00:35 - 00:38] Speaker A: Wait, is this about me staying out late last weekend?\n[00:39 - 00:45] Speaker B: Not just that, but it's part of it. We've also noticed you've been acting a bit differently lately, and we're just wondering if everything is okay with you.\n[00:46 - 00:50] Speaker A: I don't know, Mom. Like I said, I'm just dealing with some stuff.\n[00:50 - 00:56] Speaker B: Okay. Well, if you ever want to talk about anything, we're here for you. We love you, Moriah.\n[00:56 - 00:57] Speaker A: I love you too, Mom."
+  },
+  {
+    "key": "SODA_PROCESSED--train--671614",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--671614.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey boss, what's up?\n[00:01 - 00:03] Speaker B: Not much, what's up with you?\n[00:03 - 00:15] Speaker A: Just trying to stay ahead of the competition and be the best that I can by constantly improving my skills and staying updated with industry trends through continuous learning and professional development courses.\n[00:07 - 00:14] Speaker B: Speaking of competition, have you had a chance to look at the latest market trends? I think it might give us an edge if we adjust our strategy.\n[00:15 - 00:25] Speaker A: I haven't yet, but I was about to mention that I'm also focusing on personal growth alongside work. But you're right, analyzing those trends could really help us stay ahead.\n[00:26 - 00:33] Speaker B: Absolutely, and your focus on personal growth is important too. It all ties together in the long run. Keep it up and you'll go far."
+  },
+  {
+    "key": "SODA_PROCESSED--train--108309",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--108309.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey friends, what's up?\n[00:01 - 00:09] Speaker B: Hey Aleyda. Not much, what's up with you lately? You seem a bit off and we've noticed you've been acting differently during our group activities.\n[00:04 - 00:09] Speaker A: Actually, I was just wondering why you guys are avoiding me lately. Is there something wrong?\n[00:09 - 00:21] Speaker B: No, it's just that you always seem to be the one trying to be the center of attention, and we don't really like being in the middle of things because it makes us feel pressured to match your energy level all the time. We prefer to stay low-key.\n[00:21 - 00:31] Speaker A: Wait, you think I'm trying to be the center of attention? I was just trying to be friendly and participate in class. I didn't realize it was coming off that way.\n[00:31 - 00:37] Speaker B: It's not a bad thing, it's just that we prefer to keep to ourselves and not be in the spotlight all the time. That's all.\n[00:38 - 00:44] Speaker A: Oh, I see. Well, I'm sorry if I made you feel uncomfortable. I'll try to tone it down a bit from now on."
+  },
+  {
+    "key": "SODA_PROCESSED--train--63072",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--63072.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: I can't imagine how they must feel, being in that situation. It's just so unfair.\n[00:05 - 00:19] Speaker B: I know. It's hard to even think about what they must be going through. But we have to try to put ourselves in their shoes and understand how they cope with such overwhelming circumstances every day while maintaining their dignity and finding small moments of joy amidst the struggle.\n[00:12 - 00:21] Speaker A: Absolutely, but what if we can't fully understand? I mean, it's one thing to empathize, but truly grasping their reality seems almost impossible.\n[00:22 - 00:37] Speaker B: True, we might never fully grasp it, but even trying to understand can make a difference. They must feel so hopeless and exhausted from constantly battling against the odds while simultaneously trying to maintain some semblance of normal life for themselves and their loved ones.\n[00:36 - 00:40] Speaker A: Helpless, yes. And that helplessness is what makes it even more heartbreaking."
+  },
+  {
+    "key": "SODA_PROCESSED--train--8155",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--8155.wav",
+    "model_output": "[00:00 - 00:15] Speaker A: I had a light dinner of soup and salad. I feel full afterwards and go to bed feeling like I made a healthy choice, but I know I should be more mindful of my overall diet and consider adding some protein-rich foods to maintain my energy levels throughout the night.\n[00:05 - 00:11] Speaker B: Sorry to jump in, but are you sure that's enough? You need to take care of yourself, especially with your health problems.\n[00:15 - 00:21] Speaker A: I know. I just feel like I need to be careful with what I eat. I don't want to end up making myself sick.\n[00:22 - 00:37] Speaker B: You're right, you should be careful. But you also need to make sure you're getting enough nutrients. Soup and salad might not be  sufficient for your needs, especially if you're not supplementing with other nutrient-rich foods like lean proteins, whole grains, and healthy fats that provide sustained energy.\n[00:38 - 00:44] Speaker A: I get what you're saying, and I'll try to have a more balanced meal tomorrow. But tonight, I just really want to sleep."
+  },
+  {
+    "key": "SODA_PROCESSED--train--999053",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--999053.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Mom. What's up?\n[00:02 - 00:05] Speaker B: Not much. Just wondering how your day was.\n[00:05 - 00:21] Speaker A: It was fine, I guess. But I'm just so tired of everything going wrong all the time. I feel like I can't catch a break, you know? It's like one thing after another and no matter how hard I try to stay positive, the universe just keeps throwing more challenges my way.\n[00:12 - 00:18] Speaker B: Oh, Lucy, I totally get that. But what exactly has been going wrong? Maybe talking about it could help.\n[00:22 - 00:32] Speaker A: It's just a bunch of little things piling up. I feel so hopeless sometimes, like there's no point in even trying anymore. Everything feels so hard and it's just not worth it.\n[00:33 - 00:46] Speaker B: Well, let me tell you something that might help cheer you up a little bit. You know how we've always told you that you're special and  that you have the strength to get through tough times because you've proven it time and again with your resilience and determination to overcome obstacles?\n[00:47 - 00:53] Speaker A: Yeah, but sometimes it just feels like words, you know? Like, I hear it, but I don't really believe it.\n[00:54 - 01:04] Speaker B: I understand that, but Lucy, those things are still true regardless of what might be going on in your life right now. You're still an amazing person with so much to offer the world. Don't forget that, okay?\n[01:05 - 01:08] Speaker A: Thanks, Mom. That actually does make me feel a little better.\n[01:09 - 01:14] Speaker B: I'm glad to hear that, sweetie. Just remember that we love you and we're always here for you, no matter what."
+  },
+  {
+    "key": "SODA_PROCESSED--train--556505",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--556505.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Sarah, I need to talk to you about something.\n[00:03 - 00:04] Speaker B: What is it? You look serious.\n[00:05 - 00:25] Speaker A: I am. This is important. I've been thinking a lot lately about the government and how they're handling things. I don't agree with what they're doing and I want to do something about it. I want to join the resistance and fight against the injustices and corruption that are affecting so many people's lives by organizing peaceful protests and raising awareness through underground media channels.\n[00:18 - 00:25] Speaker B: You want to what? Are you crazy? Elsy, you can't just go around fighting the government! They're too powerful! You'll get yourself killed!\n[00:26 - 00:31] Speaker A: I know it's risky, but I believe in what we're fighting for. This is something worth fighting for, Sarah.\n[00:32 - 00:34] Speaker B: I don't know, Elsy. I'm scared for you.\n[00:35 - 00:50] Speaker A: Sarah, I understand your concerns. But this is something I need to do. I can't just sit by and do nothing while the government does things that are  harming innocent people and violating basic human rights through their oppressive policies and unchecked power grabs.\n[00:50 - 00:56] Speaker B: What exactly are they doing that's so wrong? Maybe there's another way to address this without putting yourself in danger.\n[00:57 - 01:05] Speaker A: I don't want to lose you, Elsy. But if this is something you feel like you need to do, then I support you. Just be careful, okay?\n[01:05 - 01:07] Speaker B: I will. I promise."
+  },
+  {
+    "key": "SODA_PROCESSED--train--7207",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--7207.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: I'm so sorry I'm late, I got sidetracked and ended up playing with my cat for way longer than I realized. Time just flew by before I knew it because she was being extra playful today with her new feather toy and I completely lost track of everything else.\n[00:06 - 00:10] Speaker B: No worries at all, but what made you finally remember that you were supposed to be going to the store?\n[00:16 - 00:32] Speaker A: Well, I ran out of food for my cat and realized that I needed to go buy some more. But by that time, I had no idea where the store  was located since I hadn't been there in a while and the neighborhood has changed quite a bit with all the new construction projects going on recently.\n[00:33 - 00:39] Speaker B: Wait, you didn't know where the store was? That must have been so stressful! How did you eventually find your way back home?\n[00:40 - 00:48] Speaker A: Well, luckily I remembered where our street was, so I just kept walking in that direction until I finally found it. But it took me hours!\n[00:48 - 00:56] Speaker B: Yeah, getting lost like that can be really tough. Next time make sure you bring your phone with you so you can call for help if you need it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1085362",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1085362.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: So, what do you think?\n[00:01 - 00:13] Speaker B: Well, it's certainly an interesting idea. I'm not sure if it would work in practice, but it's worth exploring further to see how feasible it is given our current resources and the potential impact it could have on the community.\n[00:07 - 00:13] Speaker A: Sorry to jump in, but when you say you're not sure if it would work in practice, do you have specific concerns in mind?\n[00:14 - 00:18] Speaker B: Yeah, I've been thinking about it for a while. I'm just not sure how to make it happen.\n[00:19 - 00:26] Speaker A: Well, it would take a lot of planning and coordination, but I think it could be managed if we break it down into smaller, more manageable steps.\n[00:27 - 00:33] Speaker B: Right, but before we dive into planning, do we have any initial resources or contacts that could help us get started?\n[00:33 - 00:42] Speaker A: We would need to find a way to get the word out to people who might be interested. And then we would need to set up some kind of system to collect the food donations.\n[00:43 - 00:47] Speaker B: Yeah, that's a lot of work. But I think it's worth it if we can help people in need.\n[00:48 - 00:54] Speaker A: Absolutely. I'm sure there are many people who would be willing to help with this project. Let's see if we can make it happen!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--330048",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--330048.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Mouhamed, I'm so sorry. I can't believe this is happening.\n[00:04 - 00:06] Speaker B: Yeah, I know. It's pretty surreal.\n[00:06 - 00:07] Speaker A: How are you feeling?\n[00:07 - 00:20] Speaker B: To be honest, I'm not sure. It's like I'm in a dream or something. None of this feels real, and I keep hoping I'll wake up and everything will be back to normal, but deep down I know this is reality and I need to find a way to process it all.\n[00:12 - 00:17] Speaker A: Do you think there's anything specific that might help make it feel more real or manageable?\n[00:20 - 00:25] Speaker B: Not really. I don't want to think about it too much. It's just kind of hard to accept, you know?\n[00:26 - 00:32] Speaker A: Yeah, I know. But you're being so strong through all of this. You're amazing, Mouhamed.\n[00:32 - 00:34] Speaker B: Thanks, John. That means a lot coming from you.\n[00:35 - 00:41] Speaker A: You're my best friend, Mouhamed. I just wish there was something more that I could do for you to make this easier.\n[00:41 - 00:47] Speaker B: Just being here with me is enough, John. Actually, I was going to ask if you could help me with something specific later."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1186756",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1186756.wav",
+    "model_output": "[00:00 - 00:10] Speaker A: Why can't I go to the party? All my friends will be there and I'll be left out if I don't get to spend time with them and experience all the fun memories they'll be making together. It's really important to me.\n[00:04 - 00:11] Speaker B: Corey, it's not just about missing out. You know the rule. No parties on school nights. You can go to the next one on the weekend.\n[00:12 - 00:24] Speaker A: That's not fair! Everyone else gets to go and I have to stay home by myself. It  feels like I'm always the one missing out on fun things because of these strict rules that none of my other friends have to follow.\n[00:24 - 00:31] Speaker B: I get that it feels unfair, but yelling and breaking things isn't going to change my mind. You need to calm down and respect my decision.\n[00:32 - 00:34] Speaker A: Fine, I'll just go by myself then!\n[00:34 - 00:37] Speaker B: Corey, you know that's not an option.\n[00:37 - 00:40] Speaker A: Then I don't know what to do! This is so unfair.\n[00:41 - 00:47] Speaker B: Why don't you see if one of your friends can come over and keep you company? I'm sure they would understand if you explained the situation to them.\n[00:48 - 00:51] Speaker A: I guess that could work. But I'm still not happy about it.\n[00:52 - 00:58] Speaker B: I understand. Maybe we can do something special together tomorrow night after homework is done? Would that make you feel better?\n[00:58 - 01:02] Speaker A: Yeah, that might help a little bit. Thanks, mom.\n[01:02 - 01:04] Speaker B: Of course, sweetie."
+  },
+  {
+    "key": "SODA_PROCESSED--train--44625",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--44625.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: So, what do you think of the movie so far?\n[00:02 - 00:15] Speaker B: It's okay, I guess. I'm not really sure what's going on, but it's visually complex, with so many layers of symbolism that it's hard to keep up, especially with the recurring motifs of water and mirrors that seem to represent the protagonist's fractured psyche.\n[00:07 - 00:14] Speaker A: Stunning, right? The cinematography is just breathtaking. But yeah, the plot can be a bit hard to follow.\n[00:16 - 00:19] Speaker B: Exactly. I just wish I could follow it a bit better.\n[00:19 - 00:27] Speaker A: Yeah, me too. But like you said, the visuals are really engaging, and they kind of make up for the confusing storyline.\n[00:27 - 00:31] Speaker B: Incredible, absolutely. This film is definitely one of a kind.\n[00:31 - 00:35] Speaker A: For sure. I'm really glad we decided to see it.\n[00:35 - 00:37] Speaker B: Yeah, me too. Thanks for suggesting it.\n[00:38 - 00:41] Speaker A: No problem. I thought you might like it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--12047",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--12047.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey dad, I was just thinking about the challenge you gave me.\n[00:03 - 00:05] Speaker B: What challenge is that, son?\n[00:05 - 00:17] Speaker A: You know, the one where you said I had to try and become the best soccer player in the world by dedicating myself to daily training, studying game strategies, and constantly pushing beyond my current limits.\n[00:10 - 00:16] Speaker B: Oh yeah, that challenge. How are you feeling about taking it on? Do you think you're ready for the commitment it requires?\n[00:18 - 00:25] Speaker A: Sorry to cut in, Dad, but I've been thinking—do you think I should focus more on my technique or my physical fitness first?\n[00:26 - 00:36] Speaker B: That's a good question. Both are important, but I'd say start with your technique. Once you have that down, you can build up your physical fitness to match. But I was going to ask how you're feeling about the challenge overall?\n[00:37 - 00:44] Speaker A: I'm excited to take it on. I know it won't be easy, but I'm ready to face the challenge head-on and give it my all.\n[00:45 - 00:53] Speaker B: That's great to hear, son. I have faith in you that you can accomplish anything you set your mind to. Just remember to never give up and always give 100% effort.\n[00:53 - 00:56] Speaker A: I will, dad. Thanks for believing in me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--4948",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--4948.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: So, what's been going on?\n[00:01 - 00:13] Speaker B: Oh, not much. Just the usual stuff. You know, work and school and all the assignments piling up. It's been a bit overwhelming, to be honest, especially with finals coming up and my part-time job demanding more hours than usual.\n[00:05 - 00:12] Speaker A: Sorry, I just remembered something—didn't you mention a new project at work last time? How's that going?\n[00:14 - 00:23] Speaker B: Oh, right! The new project has been pretty demanding, which is why I've been feeling a bit stressed out lately because of all the deadlines we've been getting. But it's nothing I can't handle.\n[00:23 - 00:27] Speaker A: That sounds tough. I hope things start to ease up for you soon.\n[00:28 - 00:30] Speaker B: Thanks. I'm sure they will eventually.\n[00:30 - 00:32] Speaker A: So what's new with school?\n[00:32 - 00:39] Speaker B: Not much. We're just starting to get into the really heavy stuff now, so it's been a little overwhelming, but I'm trying to stay on top of it.\n[00:40 - 00:45] Speaker A: Speaking of heavy stuff, are you still planning to take that extra course this semester?\n[00:45 - 00:50] Speaker B: Yeah, I am. It's going to be a challenge with everything else going on, but I'm managing.\n[00:51 - 00:55] Speaker A: I remember those days. It can be tough to keep up with everything.\n[00:55 - 00:57] Speaker B: Tell me about it. But I'm hanging in there."
+  },
+  {
+    "key": "SODA_PROCESSED--train--406352",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--406352.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:04] Speaker B: Not much, just wanted to talk to you about something.\n[00:04 - 00:05] Speaker A: Sure, what is it?\n[00:06 - 00:14] Speaker B: I don't really know how to say this, but I need your help with something that's been bothering me for a while and I feel like you're the only person who can understand what I'm going through right now.\n[00:08 - 00:11] Speaker A: Of course, anything for you. What do you need?\n[00:15 - 00:18] Speaker B: I don't know if I can tell you. It's kind of embarrassing.\n[00:19 - 00:22] Speaker A: Hey, it's okay. You can tell me anything. I promise.\n[00:22 - 00:28] Speaker B: Alright, well...I think I'm in love with someone and I don't know how to tell them without making things awkward between us.\n[00:29 - 00:34] Speaker A: Wait, you're in love? That's amazing! But, um, who are we talking about here?\n[00:35 - 00:40] Speaker B: Well, the thing is...it's not a person. It's an object.\n[00:40 - 00:43] Speaker A: An object? Like, a possession?\n[00:44 - 00:46] Speaker B: Yeah, like a piece of furniture or something."
+  },
+  {
+    "key": "SODA_PROCESSED--train--908444",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--908444.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: I don't understand what's happening. I used to be so good at handling these situations with confidence and precision, but now I feel like I'm constantly making mistakes and second-guessing every decision I make.\n[00:03 - 00:09] Speaker B: It sounds like you're feeling frustrated with your progress. Have you considered that maybe you're just going through a rough patch?\n[00:13 - 00:30] Speaker A: Yeah, I am. I feel like I'm regressing instead of improving. But how do I know if I'm just not cut out for this anymore? Maybe I should just quit while I still have some  dignity left and before I completely lose faith in myself and my abilities to perform at this level.\n[00:30 - 00:43] Speaker B: Prudence, you've been one of the most talented players I've ever coached. If you give up now, you'll regret it for the rest of your life. You have to trust in your abilities and keep working hard. Things will turn around for you, I promise.\n[00:43 - 00:47] Speaker A: I hope you're right, coach. I really don't want to give up on my dream.\n[00:47 - 00:53] Speaker B: I know you don't. And you shouldn't. Now let's get back to work so you can start achieving your goals again."
+  },
+  {
+    "key": "SODA_PROCESSED--train--41171",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--41171.wav",
+    "model_output": "[00:00 - 00:18] Speaker A: Why are you lying to me about where you've been? I can tell from the way you're avoiding my gaze and the way your voice is shaking that you're not telling me the truth. Where were you last night when I called you three times and you didn't answer any of them? I need to know the truth because this is really important to me.\n[00:10 - 00:14] Speaker B: Tayla, I was just out for a walk. I needed some time to think.\n[00:18 - 00:32] Speaker A: You were out for a walk? That's it? I don't believe you. There's something you're not telling me. What is  really going on that's making you act so strangely and avoid telling me the complete truth about your whereabouts?\n[00:32 - 00:38] Speaker B: What is it that you think I'm hiding? Tayla, I swear, I was just out for a walk. That's all. Please believe me.\n[00:38 - 00:51] Speaker A: Ivie, if you're lying to me about this, then what else are you lying to me about? I thought we could trust each other with everything. But now I'm not so sure. I don't want to doubt you, but this doesn't add up.\n[00:51 - 01:02] Speaker B: Tayla, of course we can trust each other! I would never lie to you about anything else, I promise. Please, just believe me about this one thing. I would never want to hurt you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--860576",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--860576.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Sarah, can you come over here for a minute? I want to ask you something.\n[00:05 - 00:06] Speaker B: Sure. What's up?\n[00:06 - 00:24] Speaker A: I'm doing some research on the effects of the unknown, and I was wondering if you could help me with some ideas on how to approach this topic from a psychological perspective, particularly focusing on cognitive biases and emotional responses that might influence people's reactions to unfamiliar situations.\n[00:12 - 00:17] Speaker B: Oh, absolutely! Is this for a specific project you're working on, or just general research?\n[00:25 - 00:33] Speaker A: It's for a project I'm working on. I want to know if people are more scared or more curious when they can't see or don't understand something.\n[00:33 - 00:37] Speaker B: That's a tough question. I'm not sure how people would react in that situation.\n[00:37 - 00:44] Speaker A: Well, let's say you're in a dark room and you can't see anything. Would you be more scared or more curious?\n[00:44 - 00:48] Speaker B: I think I would be more scared. I don't like not knowing what's around me.\n[00:48 - 00:55] Speaker A: Okay, what about if you were in a room full of strange noises? Would you be more scared or more curious?\n[00:55 - 01:01] Speaker B: Again, I think I would be more scared. I wouldn't want to investigate what was making the noise because it might be something dangerous.\n[01:02 - 01:05] Speaker A: Alright, well thank you for your help, Sarah."
+  },
+  {
+    "key": "SODA_PROCESSED--train--748822",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--748822.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hi, Karaline. I just wanted to check in with you and see how I'm doing.\n[00:05 - 00:17] Speaker B: You're doing great, Billy. I've been really impressed with your attention to detail and how you handle complex tasks, especially when it comes to troubleshooting technical issues and collaborating with different departments on cross-functional projects.\n[00:08 - 00:14] Speaker A: Actually, before you continue, I was wondering if there are any specific areas where I could improve?\n[00:18 - 00:34] Speaker B: Well, one thing I would suggest is being a little more proactive in your work. Sometimes it seems like you're waiting for me to tell you what to do next instead of taking the initiative  which could help you grow into more leadership roles in the future by demonstrating your ability to anticipate needs and solve problems before they arise.\n[00:34 - 00:44] Speaker A: Got it. I'll definitely work on being more proactive. Just to clarify, do you think this is affecting my overall performance, or is it more of a minor adjustment?\n[00:44 - 00:52] Speaker B: It's more of a minor adjustment, but it could make a big difference in how efficiently you complete tasks. Other than that, keep up the good work!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--822773",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--822773.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Sarah! I'm so glad to see you!\n[00:03 - 00:07] Speaker B: Hey, Renesmee! I'm happy to see you too! How are you doing today?\n[00:07 - 00:22] Speaker A: I'm doing great today! I love exploring and playing games. Do you want to play a game of fetch with me in the park later? We could bring some tennis balls and maybe even invite some other friends to join us for an afternoon of fun activities.\n[00:14 - 00:19] Speaker B: Oh, fetch sounds fun! But I was wondering, do you have any other favorite games we could try later?\n[00:22 - 00:31] Speaker A: That sounds like fun! I would love to play a game of fetch with you. Maybe after that, we can try some other games too. Alright, let's go!\n[00:32 - 00:36] Speaker B: Absolutely, let's start with fetch and then we can see what else we feel like doing!\n[00:36 - 00:45] Speaker A: Renesmee and Sarah seem to be having a great time playing fetch together. Sarah is laughing and Renesmee looks like he's having a blast running around."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1112132",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1112132.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: I can't believe we're actually doing this! It feels so good to be out here fighting for something we believe will make a real difference in the long run, especially when we see how our efforts are inspiring others to join the movement and take action in their own communities.\n[00:05 - 00:12] Speaker B: Absolutely! But do you think this will actually lead to any real change? I mean, we've been raising our voices for so long.\n[00:14 - 00:21] Speaker A: I know, it does! I feel like we're really making a difference. People are definitely listening to us.\n[00:21 - 00:36] Speaker B: Yeah, I think so too. It's just so frustrating that it takes something like this to get people to wake up and pay attention to what's going on with our planet. It's like, why can't they see how important this is? Why do we have to keep pushing so hard just to get the basic message across?\n[00:36 - 00:52] Speaker A: You're right, but maybe it's because people are overwhelmed by so many issues at once. They might not know where to start, and that's where we come in—to guide them  through the complexities of these challenges and show them practical steps they can take to contribute to meaningful change in their daily lives.\n[00:53 - 00:59] Speaker B: I know, I feel the same way. But sometimes it takes a big event like this to really get people to sit up and take notice.\n[00:59 - 01:07] Speaker A: Yeah, I guess you're right. It's just so frustrating. I wish there was some other way to get people to care about this issue.\n[01:07 - 01:15] Speaker B: Well, maybe we can use our voices to make a difference. We can keep speaking out and raising awareness. Maybe that will help change things in the long run."
+  },
+  {
+    "key": "SODA_PROCESSED--train--494198",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--494198.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: I got my hair cut yesterday, and I really don't like it. The barber just didn't seem to understand what I wanted, even though I tried to explain it clearly with multiple examples and even brought reference photos from different angles.\n[00:06 - 00:11] Speaker B: Oh no, that sounds frustrating. Did you try showing them a picture of what you wanted?\n[00:13 - 00:21] Speaker A: I did, but it's too short on the sides and the back, and it's not styled the way I wanted it. I feel like a total slob.\n[00:21 - 00:27] Speaker B: I'm sorry to hear that, Ronni. Maybe there's something we can do to fix it. Have you tried styling it differently?\n[00:28 - 00:35] Speaker A: I've tried a few things, but nothing seems to work. It just looks bad no matter what I do, and it's really starting to get on my nerves.\n[00:36 - 00:43] Speaker B: I get it, but sometimes a fresh perspective helps. Why don't you let me take a look at it? Maybe I can suggest something.\n[00:44 - 00:48] Speaker A: Sure, why not? It can't look any worse than it does now.\n[00:48 - 00:55] Speaker B: Okay, let's take a look. Hmm...I think we can definitely improve it. I think if we style it differently, it will look much better.\n[00:55 - 00:57] Speaker A: Really? You think so?\n[00:57 - 00:59] Speaker B: Absolutely! Let me show you what I mean."
+  },
+  {
+    "key": "SODA_PROCESSED--train--903126",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--903126.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, thanks for coming out today. It really means a lot.\n[00:04 - 00:12] Speaker B: Of course! I believe in what you're doing, and I think it's so inspiring to see how dedicated you are to this cause despite all the challenges and obstacles that keep coming your way.\n[00:07 - 00:14] Speaker A: Sorry to jump in, but I just wanted to say that your support really motivates me. It's that kind of belief that keeps us going.\n[00:15 - 00:22] Speaker B: Yeah, I feel confident that we're going to make a difference. Just by being here and carrying these signs, people are going to start paying attention.\n[00:22 - 00:30] Speaker A: Absolutely! And I know you're doing an amazing job leading this strike. You're so passionate and committed to making this change happen.\n[00:31 - 00:38] Speaker B: Strong, yes, but it's the collective strength that really matters. Every single person here adds to the impact we're making.\n[00:39 - 00:45] Speaker A: Thank you. It's not easy, but it's worth it. We have to stand up for what we believe in and fight for change.\n[00:46 - 00:49] Speaker B: Absolutely! So many people are behind you, and we're all rooting for you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--546350",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--546350.wav",
+    "model_output": "[00:00 - 00:08] Speaker A: Hi, Sarah. I hope I'm not disturbing you, I just wanted to see how you're doing and catch up since we haven't talked in a while.\n[00:02 - 00:07] Speaker B: No, it's fine. I'm just taking a break from studying for finals. How are you?\n[00:09 - 00:13] Speaker A: I'm good. Just wanted to check in on you and see how you're doing.\n[00:13 - 00:15] Speaker B: I've been better, to be honest.\n[00:15 - 00:17] Speaker A: What's going on?\n[00:17 - 00:28] Speaker B: It's just everything. Finals, work, my boyfriend breaking up with me...I don't know. I feel like I can't catch a  break lately, you know? Like every time I think things might be getting better, something else comes crashing down.\n[00:28 - 00:35] Speaker A: Wait, your boyfriend broke up with you? I'm so sorry, Sarah. That must be really hard on top of everything else.\n[00:36 - 00:44] Speaker B: Yeah, it's been rough. But my roommates have been great, and my mom called me yesterday, which was nice. But sometimes it feels like nobody really gets it, you know?\n[00:44 - 00:56] Speaker A: Yeah, I totally get that. It can be really hard when it feels like nobody understands what you're going through. But I'm here for you if you ever want to talk or need anything, okay?\n[00:56 - 00:59] Speaker B: Thank you so much, Brodey. That means a lot to me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1087984",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1087984.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: \"Hey, there you are. I thought you were going to sleep forever.\"\n[00:04 - 00:05] Speaker B: \"What time is it?\"\n[00:05 - 00:11] Speaker A: \"It's early still, only a few hours after sunrise. You must have been really tired.\"\n[00:11 - 00:21] Speaker B: \"I guess I was. I don't remember the last time I slept that soundly, especially with everything that's been going on lately - the stress at work, family issues, and all those sleepless nights worrying about everything.\"\n[00:15 - 00:24] Speaker A: \"Actually, speaking of sleep, do you think it might be a good idea to take it easy today? You know, just to make sure you're fully rested?\"\n[00:24 - 00:27] Speaker B: \"Yeah, that might be a good idea. I have been through a lot lately.\"\n[00:28 - 00:33] Speaker A: \"Exactly. You've been pushing yourself hard. But now that you're feeling better, we can take it slow.\"\n[00:33 - 00:36] Speaker B: \"Thanks for understanding. So, what do you want to do today?\"\n[00:36 - 00:43] Speaker A: \"I was thinking maybe we could go for a walk, get some fresh air. Or if you prefer, we could just relax here.\"\n[00:43 - 00:46] Speaker B: \"A walk sounds nice. Let's do that.\""
+  },
+  {
+    "key": "SODA_PROCESSED--train--252183",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--252183.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Hey, personY. I'm tired of your monopoly. I'm going to defy it.\n[00:05 - 00:07] Speaker B: What do you mean by \"defy?\"\n[00:07 - 00:12] Speaker A: I mean that I'm going to do things my own way, and I'm not going to let you control me anymore.\n[00:13 - 00:22] Speaker B: But why? What's wrong with the way I manage things? Everything has been running smoothly and efficiently under my leadership, with clear benefits for everyone involved, hasn't it?\n[00:15 - 00:22] Speaker A: What's wrong? It's unfair. You have all the power and you're using it to take advantage of people. That's not right.\n[00:23 - 00:27] Speaker B: And what do you think you can do about it? You're just one person. How are you going to make a difference?\n[00:28 - 00:47] Speaker A: By standing up for what's right, and by showing other people that they don't have to put up with your crap anymore. We don't have to take this from you anymore, personY. We can fight back and create a movement that challenges your authority through organized protests, social media campaigns, and grassroots community organizing efforts.\n[00:47 - 00:54] Speaker B: Fight back? With what? You don't have the resources, the influence, or the backing. You're just a lone voice in the wilderness.\n[00:54 - 00:55] Speaker A: We'll see about that."
+  },
+  {
+    "key": "SODA_PROCESSED--train--154340",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--154340.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hey dad.\n[00:01 - 00:03] Speaker B: Hey son, how are you doing?\n[00:03 - 00:07] Speaker A: I'm good. I just wanted to talk to you about something.\n[00:07 - 00:08] Speaker B: What is it?\n[00:08 - 00:26] Speaker A: I was thinking about what you said the other day, about how important it is to have values. And I realized that I want to be a good son. I want to make you proud by making better choices and being more responsible in my actions, especially when it comes to my studies and how I treat others around me.\n[00:18 - 00:26] Speaker B: Tiberius, I am already proud of you. But what made you suddenly feel this way? Did something happen that made you think more about values?\n[00:26 - 00:33] Speaker A: Not really, it's just been on my mind lately. I want to make sure I'm living up to the person you raised me to be.\n[00:34 - 00:55] Speaker B: You don't have to do anything for me to be proud of you. Just being yourself is enough. But if you're trying to be a good son, then there are some things you should know. First of all, values are important because they help us make decisions in life. They guide us and help us figure out what's right and  how to stay true to ourselves, even when it's hard and everyone around you might be making different choices that don't align with your principles.\n[00:55 - 01:05] Speaker A: Sorry to cut you off, Dad, but could you give me an example of a value that you think is really important? I want to understand better how I can apply it in my life.\n[01:05 - 01:13] Speaker B: Sure, honesty is a big one. It's crucial to be truthful in your dealings with people. It builds trust and respect, and that's something that will carry you far in life."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1112763",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1112763.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey Sarah, what's up?\n[00:02 - 00:03] Speaker B: Not much, what are you up to?\n[00:03 - 00:18] Speaker A: Just standing in this pool of water, trying to escape the heat. It's really hot out and I was thinking about just staying in here for the rest of the day because the water is perfectly refreshing and the shade from these trees makes it even more comfortable.\n[00:09 - 00:15] Speaker B: Sorry to cut in, but how hot is it exactly? I was thinking of going for a run later, but now I'm not so sure.\n[00:19 - 00:39] Speaker A: Yeah, it's probably not the best idea to run today. It's around 95 degrees, and it feels even hotter with the humidity. The pool feels really good and it's helping me cool down  especially since there's a slight breeze too that makes the whole experience feel like a mini vacation from this brutal summer weather.\n[00:39 - 00:42] Speaker B: That sounds nice. I wish I could be in a pool right now too.\n[00:43 - 00:58] Speaker A: Yeah, it's pretty great. I feel like I could stay here all day  without getting bored because there's so much to enjoy - watching the clouds drift by, listening to the birds chirping, and feeling the gentle movement of the water around me.\n[00:59 - 01:03] Speaker B: I bet. It must be really nice to just relax in the water and not have to worry about anything else.\n[01:04 - 01:18] Speaker A: Yeah, it is. It's really peaceful and calming. I'm glad I decided to come out here and do this  instead of staying indoors where I would just be sweating and miserable, staring at the same four walls all afternoon.\n[01:18 - 01:20] Speaker B: Me too, Cleveland. Me too."
+  },
+  {
+    "key": "SODA_PROCESSED--train--142004",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--142004.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: Mary, I need to talk to you about something. It's been bothering me for a while and I really need to get it off my chest because this weight has been crushing me emotionally and affecting every aspect of my daily life for months now.\n[00:07 - 00:10] Speaker B: Of course, dear. What is it? You know you can tell me anything.\n[00:14 - 00:26] Speaker A: It's just that... I made a mistake. A big mistake. And it's been eating away at me ever since. I'm not sure how to make things right, but I need to figure out a way to fix it before it's too late.\n[00:26 - 00:31] Speaker B: Wait, a mistake? What kind of mistake? Is it something that can be fixed?\n[00:31 - 00:41] Speaker A: I was working on a case and I was so sure that I had the right suspect. But I was wrong. My mistake led to an innocent man being convicted and sentenced to death.\n[00:42 - 00:45] Speaker B: Emerald, you can't blame yourself for that. You did everything you could.\n[00:46 - 00:51] Speaker A: But it wasn't enough. And now the man is going to be executed because of me.\n[00:51 - 00:52] Speaker B: What can we do?\n[00:53 - 01:01] Speaker A: I'm not sure. But I have to try to do something. Even if it's just finding a way to live with this burden for the rest of my life."
+  },
+  {
+    "key": "SODA_PROCESSED--train--205208",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--205208.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hi there! I'll have a double scoop of mint chocolate chip in a waffle cone, please.\n[00:04 - 00:07] Speaker B: Coming right up! That'll be $3.50.\n[00:07 - 00:08] Speaker A: Thank you!\n[00:08 - 00:10] Speaker B: You're welcome. How's your day going?\n[00:10 - 00:27] Speaker A: It's going great, thanks for asking. I just got out of work and I'm feeling pretty good about life right now after successfully completing a major client project that involved creating a comprehensive branding package including logos, color schemes, and marketing materials.\n[00:17 - 00:18] Speaker B: Oh, what kind of work do you do?\n[00:27 - 00:36] Speaker A: I work in graphic design. I was saying, I'm feeling good about life right now. This ice cream is definitely going to make my day even better.\n[00:36 - 00:41] Speaker B: That's great to hear! I'm glad we could help you out. Make sure to come back and see us again soon!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--368483",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--368483.wav",
+    "model_output": "[00:00 - 00:09] Speaker A: I'm not buying this brand. The quality is not as good as it used to be and I don't want to support a company that is not making a good product.\n[00:09 - 00:12] Speaker B: What do you mean the quality is not as good?\n[00:12 - 00:26] Speaker A: The materials are lower quality, the construction is shoddy, and it just falls apart after a few uses. I'm not spending my money on something like this again, especially after being disappointed multiple times.\n[00:27 - 00:35] Speaker B: Sorry to cut in, but have you considered that maybe you got a defective piece? Sometimes one bad experience can cloud our judgment about the entire brand.\n[00:35 - 00:51] Speaker A: That's possible, but I've had multiple bad experiences. Still, I haven't mentioned that I haven't tried the new line of products yet because I am skeptical about any real improvements and don't want to waste my time or money on something that might just disappoint me again.\n[00:43 - 00:50] Speaker B: Actually, I was going to ask about that. The new line might be worth a look. They could have made significant improvements.\n[00:51 - 00:57] Speaker A: No, and I'm not going to. I don't want to support a company that makes inferior products.\n[00:57 - 01:02] Speaker B: Maybe you should give them another chance. They might have improved since you last tried their products.\n[01:02 - 01:04] Speaker A: No, I'm done with this brand."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1175954",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1175954.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: It's bleeding a lot, Mom. I'm really worried that it might get infected if we don't clean it quickly and properly because I remember what happened last time when we didn't treat my scrape immediately.\n[00:02 - 00:07] Speaker B: Scared? I know, sweetheart. But remember, I'm here with you. We'll get through this together.\n[00:11 - 00:12] Speaker A: Okay.\n[00:12 - 00:24] Speaker B: Now, let's take a look at that knee. Hmm, it doesn't look too bad. But we'll need to clean it up and  make sure it's properly disinfected before we cover it with a sterile bandage to prevent any bacteria from entering the wound.\n[00:24 - 00:27] Speaker A: Put a bandage on it? Please hurry, Mom!\n[00:28 - 00:31] Speaker B: I will, sweetie. I'm going to go get the supplies. I'll be right back.\n[00:32 - 00:32] Speaker A: Hurry, Mom!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1106201",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1106201.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: So, what's the story behind this place? It's got a pretty interesting atmosphere.\n[00:05 - 00:21] Speaker B: Oh, it's been around for a while. It used to be a pretty rowdy place, but we've toned it down a bit in recent years. Still, it's a popular spot for locals and tourists who are looking for a place to relax and enjoy some good company while experiencing the unique blend of history and modern comfort that we've carefully cultivated here.\n[00:14 - 00:21] Speaker A: Sorry to jump in, but when you say \"rowdy,\" do you mean it had a different kind of crowd or just a different vibe overall?\n[00:22 - 00:36] Speaker B: A bit of both, actually. The crowd was definitely more rambunctious, and the vibe was more chaotic. We made some changes to attract a more laid-back clientele. We want people to feel like they can come here and escape the hustle and bustle of the city for a while.\n[00:36 - 00:41] Speaker A: I can definitely appreciate that. I think more places should be like this.\n[00:41 - 00:48] Speaker B: Yeah, we get a lot of positive feedback from our customers. They say it's one of the things they love most about this place.\n[00:48 - 00:53] Speaker A: That's great to hear! I'm sure you guys work hard to make it a welcoming environment.\n[00:54 - 00:55] Speaker B: We do our best!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1087723",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1087723.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:04] Speaker B: Not much. Just getting ready for the day. What about you?\n[00:05 - 00:14] Speaker A: I'm just hanging out, trying to stay relaxed before things get too hectic with all the upcoming exams and graduation preparations that are looming on the horizon.\n[00:07 - 00:11] Speaker B: Oh, by the way, did you ever figure out what you want to do after graduation?\n[00:15 - 00:19] Speaker A: I've been thinking about it a lot. I'm not really sure yet.\n[00:19 - 00:24] Speaker B: That's understandable. There are a lot of options out there. What are some of the things you're considering?\n[00:25 - 00:35] Speaker A: I've been looking at some colleges, but I'm not sure if I want to go that route. I've also been thinking about joining the military or maybe getting a job in law enforcement.\n[00:35 - 00:39] Speaker B: Those are all great options. Have you talked to anyone about what you're thinking?\n[00:40 - 00:49] Speaker A: Yeah, I've talked to my parents and my friends a lot about it. They're all supportive of whatever I decide to pursue, even if it's something unconventional.\n[00:49 - 00:54] Speaker B: Sorry to interrupt, but did your parents have any strong opinions on the military option?\n[00:54 - 01:06] Speaker A: They were a bit concerned at first, but they said they would support me no matter what. I was going to mention that my friends were more focused on the college route, but I guess that's not as important right now.\n[01:06 - 01:13] Speaker B: It's good that your parents are supportive. And yeah, friends can sometimes have different perspectives. Just take your time and don't rush into anything.\n[01:14 - 01:17] Speaker A: Yeah, that's what I'm planning on doing. Thanks for the advice."
+  },
+  {
+    "key": "SODA_PROCESSED--train--30336",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--30336.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Wow, that was a really long fall. I'm lucky to be alive after that terrifying experience - the ground was coming at me so fast and I thought for sure I wouldn't make it.\n[00:03 - 00:07] Speaker B: You're very lucky indeed. Let me take a look at you and see if you have any injuries.\n[00:11 - 00:17] Speaker A: I don't think so. I don't feel anything broken or any sharp pain, but it's hard to tell for sure.\n[00:18 - 00:23] Speaker B: Wait, before you say that, can you move your arms and legs? Just to be sure there's no pain or stiffness.\n[00:24 - 00:36] Speaker A: Oh, okay. Yeah, I can move them just fine. I was about to say I don't feel anything broken or  anything particularly concerning, though there is some general soreness throughout my body from the impact.\n[00:36 - 00:43] Speaker B: That's good. We'll get you to the hospital and have some x-rays just to be sure. You may have internal bleeding, so we need to keep an eye on you.\n[00:44 - 00:48] Speaker A: Okay, that makes sense. Thank you for taking care of me.\n[00:48 - 00:53] Speaker B: You're welcome, Cadin. Just try to relax and we'll have you at the hospital in no time."
+  },
+  {
+    "key": "SODA_PROCESSED--train--615914",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--615914.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: No, it's okay. I've got this. You just relax and let me take care of dinner tonight.\n[00:05 - 00:12] Speaker B: Are you sure? I don't mind helping out if you need an extra hand with the cooking or maybe even just keeping you company while you work your magic in the kitchen.\n[00:07 - 00:12] Speaker A: I'm positive. Why don't you go sit down and I'll bring you a glass of wine in a few minutes?\n[00:13 - 00:20] Speaker B: Actually, before you do that, are you sure you don't need help with anything at all? I mean, setting the table or maybe chopping some vegetables?\n[00:20 - 00:26] Speaker A: No, really, I've got everything under control. Just sit back and relax. I'll handle it all.\n[00:27 - 00:29] Speaker B: That sounds perfect. Thank you, Jamarian.\n[00:30 - 00:32] Speaker A: You're welcome. I'll be right back.\n[00:32 - 00:36] Speaker B: No rush. I'm enjoying watching you cook. You're really good at it.\n[00:37 - 00:44] Speaker A: Thanks. I love cooking, so it's always a pleasure to do it for someone else. Especially when that someone is as beautiful as you are.\n[00:45 - 00:47] Speaker B: Thank you, Jamarian. You're sweet."
+  },
+  {
+    "key": "SODA_PROCESSED--train--662948",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--662948.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Thank you so much for the cookies, they're delicious!\n[00:03 - 00:07] Speaker B: Oh, it's no problem at all. I'm just glad I could help you out with the fence.\n[00:07 - 00:18] Speaker A: Yeah, it was getting pretty bad. I appreciate your willingness to spend your weekend helping me out and going above and beyond what most neighbors would do in this situation.\n[00:12 - 00:18] Speaker B: Sorry, I just remembered, did you also need help with the garden? I noticed it looked like it could use some attention.\n[00:19 - 00:33] Speaker A: Oh, the garden? Yes, actually, I was thinking about that. But I haven't finished thanking you for the fence  and all the hard work you put into it, especially considering how difficult those old posts were to remove and replace with new ones.\n[00:34 - 00:39] Speaker B: Oh, don't mention it! But seriously, if you need help with the garden or anything else, just let me know."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1051089",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1051089.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: Hey Jeremey, thanks for the great blog posts. I was feeling a bit uninspired lately, but after reading your blog I'm feeling much more creative. I really appreciate you sharing your ideas and thoughts with the world.\n[00:14 - 00:30] Speaker B: Thanks Chantal, I'm glad you found my blog helpful. I love writing and sharing my ideas with others. It's great to hear that you're feeling more creative now. I'm always happy to offer any tips or advice if you ever need it, whether it's about overcoming creative blocks or developing new approaches to your projects.\n[00:23 - 00:31] Speaker A: Sorry to jump in, but I was curious about how you come up with your ideas. Do you follow a specific process or routine?\n[00:32 - 00:46] Speaker B: I do have a few techniques that I use regularly, like brainstorming and mind mapping. But I haven't mentioned how I also get inspiration from reading a lot of different sources and  observing everyday life around me, which often provides unexpected connections and sparks for new creative directions.\n[00:46 - 00:54] Speaker A: That's interesting! Speaking of different sources, do you have any book or blog recommendations that you find particularly inspiring?\n[00:55 - 01:04] Speaker B: Absolutely, I can share a few of my favorites. But first, you mentioned trying out some techniques from my blog to overcome creative blocks. Which ones are you planning to try?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--649949",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--649949.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Wow, this place is amazing! I can't believe I'm actually here in Peru.\n[00:06 - 00:17] Speaker B: Yes, it is a very special country with a lot of history and culture. I'm glad you're enjoying your time here exploring the rich traditions and breathtaking landscapes that make Peru truly unique among travel destinations.\n[00:11 - 00:20] Speaker A: Sorry to jump in, but I just wanted to ask—do you have any recommendations for must-see places before I leave? I don't want to miss anything crucial.\n[00:21 - 00:31] Speaker B: Absolutely! You should definitely visit Machu Picchu if you haven't already. Also, the Sacred Valley is breathtaking. There's so much more to explore, but those are must-sees.\n[00:31 - 00:41] Speaker A: I definitely am! I've already seen so many incredible things and I feel like I've only just scratched the surface. Your country has such a fascinating past.\n[00:41 - 00:53] Speaker B: Thank you, we are very proud of our heritage. There is so much to learn about Peru and its people. I hope you have the opportunity to explore more while you are still here, especially some of the lesser-known sites that are equally amazing.\n[00:53 - 01:02] Speaker A: Oh, I definitely plan to! And Diego, thank you so much for all your help and advice along the way. You've been a great tour guide.\n[01:02 - 01:08] Speaker B: You're welcome, Rooney. It has been my pleasure to show you around Peru. I hope you have a safe and enjoyable journey home."
+  },
+  {
+    "key": "SODA_PROCESSED--train--489519",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--489519.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, Mom. I was wondering if you could give me a ride to the library later.\n[00:04 - 00:06] Speaker B: Why do you need to go to the library?\n[00:06 - 00:20] Speaker A: I need to return some books and pick up a few new ones for my research project about sustainable urban development, which is due next week. I also want to check out that new book on renewable energy technologies that just came in.\n[00:10 - 00:14] Speaker B: Wait, do you have any overdue books? I remember getting a notice last week.\n[00:21 - 00:40] Speaker A: Oh, no, I returned those already. I'm just picking up some new ones today. But actually, I was hoping to stop by the grocery store on the way home and pick up a few things  like fresh vegetables, chicken, and some pantry staples for dinner tonight since I promised to cook. I noticed we're completely out of olive oil and eggs too.\n[00:41 - 00:50] Speaker B: Grocery store? Sure, that sounds fine. Since it's close to the library, it would be more efficient to just go there afterwards. Let me know when you're ready and we'll leave in a little bit."
+  },
+  {
+    "key": "SODA_PROCESSED--train--575640",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--575640.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey Kellee, what's up?\n[00:02 - 00:04] Speaker B: Not much, just hanging out. What about you?\n[00:04 - 00:14] Speaker A: Same here. I'm just chilling and thinking about how we could make this conversation more engaging by sharing some interesting stories or experiences we've had recently.\n[00:08 - 00:12] Speaker B: So what do you think of my jokes? Do you find them entertaining, or do you think they need some work?\n[00:14 - 00:21] Speaker A: Sorry to jump in, but I was wondering if you were joking just to lighten the mood or if you really thought they were funny?\n[00:21 - 00:27] Speaker B: Well, I was just trying to be friendly and make you laugh. I'm sorry if you didn't find my jokes funny.\n[00:27 - 00:31] Speaker A: It's okay, I'm sorry for ignoring you and treating you like a clown.\n[00:32 - 00:33] Speaker B: It's all good. I understand."
+  },
+  {
+    "key": "SODA_PROCESSED--train--419679",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--419679.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Your Highness, I have wanted to kiss you since the day we first met in the royal gardens under the cherry blossoms, but I was too afraid to act on my feelings because I didn't want to risk losing my position at court.\n[00:03 - 00:08] Speaker B: Kyara, wait—did you just say since the day we met? I thought you didn't like me. You were always so distant.\n[00:11 - 00:20] Speaker A: I was afraid to get close to you, because I knew I would fall in love with you. And now, here we are, kissing each other like there's no tomorrow.\n[00:20 - 00:27] Speaker B: I never thought this would happen between us. But now that it has, I don't want it to end. I want us to be together, no matter what.\n[00:28 - 00:32] Speaker A: Stop? Me neither. I want to spend the rest of my life with you, Your Highness.\n[00:32 - 00:35] Speaker B: And I want to spend the rest of my life with you, Kyara."
+  },
+  {
+    "key": "SODA_PROCESSED--train--237231",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--237231.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: Thank you so much for donating to our benefit! We really appreciate your support—it makes a big difference to our cause and allows us to expand our outreach programs to more underserved communities across the region.\n[00:04 - 00:09] Speaker B: Sorry to interrupt, but I was wondering, how exactly will the funds be used to help the children?\n[00:12 - 00:30] Speaker A: The funds will be allocated towards providing basic necessities like food, clothing, and educational materials. The children who will be helped by this benefit are really in need. I'm glad we were able to get your donation because it will directly impact the quality of life for these kids.\n[00:30 - 00:37] Speaker B: Yeah, it's heartbreaking to see kids go without basic necessities. I'm glad we could help out in some small way.\n[00:37 - 00:40] Speaker A: Every little bit helps. Thank you again.\n[00:40 - 00:41] Speaker B: You're welcome."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1120331",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1120331.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey boss, can I talk to you for a second?\n[00:03 - 00:04] Speaker B: What is it Jailynn?\n[00:04 - 00:20] Speaker A: I wanted to talk to you about what happened earlier. I was really embarrassed and angry when you scolded me in front of my colleagues because it completely undermined my confidence and made me question my professional abilities in front of people I work with every day.\n[00:12 - 00:19] Speaker B: I'm sorry to cut you off, but I just want to clarify—was it the way I addressed it or the fact that it was in front of others that upset you the most?\n[00:20 - 00:27] Speaker A: Honestly, it was both. But mainly, it was the public aspect of it. It made me feel like I wasn't good enough.\n[00:27 - 00:37] Speaker B: Jailynn, I didn't mean to make you feel that way. I'm sorry if I did. But please understand that I was just trying to help you correct a mistake so that you don't make it again in the future. Okay?\n[00:37 - 00:40] Speaker A: Alright boss. Thanks for explaining it to me.\n[00:41 - 00:45] Speaker B: No problem Jailynn. Just try to understand where I'm coming from next time, okay?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--921984",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--921984.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: So, Brooke, what do you think of our new town so far?\n[00:03 - 00:16] Speaker B: I like it! It's really different from the last town we lived in. There are a lot more things to do here and the people seem really welcoming and open to newcomers, which makes it much easier to adjust to the new environment and start building meaningful connections with the community.\n[00:09 - 00:15] Speaker A: Sorry to jump in, but speaking of people, have you had a chance to meet any of the neighbors yet?\n[00:17 - 00:27] Speaker B: Not yet, but they do seem friendly. I was going to say that. And about jobs, there are a few businesses in town that are always hiring, so I'm sure you'll be able to find something eventually.\n[00:27 - 00:32] Speaker A: That's good to know. Thanks, Brooke. I appreciate your help in getting settled here.\n[00:33 - 00:37] Speaker B: No problem! I'm just glad I could be of assistance during this transition period.\n[00:38 - 00:43] Speaker A: Oh, one more thing—do you think the local schools are good? Just wondering for the future.\n[00:43 - 00:55] Speaker B: And yes, I've heard the schools here are quite good, so that's another plus for the town! The teachers are highly qualified and the facilities are modern, which provides excellent opportunities for students to thrive academically and socially."
+  },
+  {
+    "key": "SODA_PROCESSED--train--475039",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--475039.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Dad, do you remember that painting we saw when I was younger? The one with the shipwreck?\n[00:05 - 00:17] Speaker B: Yes, I remember it well. It was a beautiful yet tragic scene that really captured the desperation of those sailors with their tattered clothes and outstretched arms reaching toward the distant horizon where help might come from.\n[00:08 - 00:16] Speaker A: Beautiful, but also haunting. I've been thinking about it lately and wondering what happened to those people in the painting. They looked so sad.\n[00:17 - 00:29] Speaker B: Well, we don't know for sure what happened to them, but we can imagine. Maybe they were rescued by another ship or maybe they built a raft and floated to safety. Or maybe they all perished in the storm that caused the shipwreck in the first place.\n[00:29 - 00:40] Speaker A: Sorry to interrupt, but I just can't stop thinking about how terrifying it must have been for them. Being stranded on that island with no help coming—it must have been so scary.\n[00:40 - 00:48] Speaker B: Yes, it would have been a very frightening experience for sure. But we don't know for certain what happened to them, so let's not dwell on it too much."
+  },
+  {
+    "key": "SODA_PROCESSED--train--616846",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--616846.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's going on?\n[00:02 - 00:16] Speaker B: Just having some family problems. My wife and I are fighting a lot lately and my kids are really struggling. I just don't know what to do to make things better, and it's really taking a toll on all of us emotionally and physically, especially with the added stress at work piling up.\n[00:09 - 00:16] Speaker A: I'm really sorry to hear that. Have you considered talking to a counselor? Sometimes an outside perspective can really help.\n[00:17 - 00:31] Speaker B: We've tried talking, but it just seems like we can't see eye to eye on anything anymore. And when we do talk, it just ends up in a big  argument that leaves us both feeling worse than before, with unresolved tension lingering for days and affecting our interactions with the kids.\n[00:31 - 00:42] Speaker A: I get that, but maybe instead of focusing on everything at once, you could start with just one issue. That way, it's less overwhelming and you might actually find some common ground.\n[00:42 - 00:48] Speaker B: That actually makes a lot of sense...I think we might give it a try. Thank you for the advice Ibrahim, it means a lot."
+  },
+  {
+    "key": "SODA_PROCESSED--train--803822",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--803822.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Thank you so much for helping me find the perfect car. I really appreciate it.\n[00:04 - 00:09] Speaker B: You're welcome, Kartier. It was our pleasure to help you find the perfect car for your needs.\n[00:10 - 00:13] Speaker A: This car is exactly what I wanted. It's perfect.\n[00:14 - 00:15] Speaker B: We're glad you're happy with it.\n[00:16 - 00:18] Speaker A: How much did you say the monthly payments are again?\n[00:19 - 00:22] Speaker B: The monthly payments are $369.00.\n[00:22 - 00:33] Speaker A: That's a lot of money. Is there any way to reduce the monthly payments or find a more affordable option by extending the loan term or perhaps putting down a larger down payment initially?\n[00:24 - 00:30] Speaker B: Actually, have you considered looking into our financing options? Sometimes they can offer more flexible terms.\n[00:33 - 00:40] Speaker A: Financing options could be helpful, but I was asking if there's any way to lower the payments directly.\n[00:40 - 00:43] Speaker B: I'm sorry, Kartier, but the payments are non-negotiable."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1104244",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1104244.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Dad, I've been thinking about this for a while and I've decided to convert to Islam.\n[00:05 - 00:15] Speaker B: Why Islam? What about the values we raised you with? Have you considered how this decision affects your relationship with the rest of the family and what challenges you might face in your social circles?\n[00:07 - 00:18] Speaker A: Christianity? I thought about it, but Islam just feels right. I feel a closer connection to the Islamic community and I believe in the tenets of the faith.\n[00:18 - 00:19] Speaker B: Have you been attending mosque?\n[00:20 - 00:32] Speaker A: Yes, I have. And I've been learning a lot. I'm really  starting to feel at peace with myself and my spirituality through the daily prayers and the sense of belonging I've found within the Muslim community.\n[00:32 - 00:37] Speaker B: Wait, how long have you been attending? I didn't realize this was something you were already so involved in.\n[00:38 - 00:42] Speaker A: I've been going for a few months now. I'm really excited about this change.\n[00:42 - 00:46] Speaker B: Well, son, if this is what you feel called to do, then we support you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--412543",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--412543.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Lillian. How are you doing today?\n[00:03 - 00:05] Speaker B: I'm doing well, Alexes. How are you?\n[00:05 - 00:09] Speaker A: I'm good. Hey, can I talk to you for a second?\n[00:09 - 00:10] Speaker B: Sure. What's up?\n[00:11 - 00:36] Speaker A: I just wanted to say that I think you're a really special person and I appreciate you for who you are. You're not like other people who are always after materialistic things and trying to take advantage of others. You're different and I wanted to let you know that it doesn't go unnoticed because your kindness and authenticity shine through in everything you do, from the way you treat others to how you carry yourself with such grace and humility.\n[00:26 - 00:35] Speaker B: Sorry to jump in, but I just have to say, it's really rare to hear someone express that kind of appreciation these days. Do you feel like the world is becoming more superficial?\n[00:37 - 00:50] Speaker A: Absolutely, that's exactly what I was getting at. There's too much greed in the world these days and it's refreshing to see someone like you who is content with what they have and doesn't need anything else to make them happy.\n[00:50 - 00:57] Speaker B: Thank you, Alexes. That means a lot to me coming from you. It's nice to know that there are still people out there who care about more than just themselves."
+  },
+  {
+    "key": "SODA_PROCESSED--train--677647",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--677647.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, can I talk to you for a sec?\n[00:03 - 00:04] Speaker B: Yeah, what's up?\n[00:04 - 00:22] Speaker A: I was hoping we could talk about my salary. I know I've been with the company for a while now and I feel like I'm worth more than what I'm currently being compensated, especially considering the additional responsibilities I've taken on recently and the measurable impact my work has had on our quarterly results.\n[00:13 - 00:22] Speaker B: Sorry to jump in, but before we dive into that, have you had a chance to review the recent performance evaluations? I think they might give us a clearer picture of where you stand.\n[00:23 - 00:40] Speaker A: I have looked at them, and honestly, they only reinforce my belief that I deserve a raise. I work hard and I'm one of the most valuable employees here. Surely there's some room for negotiation, especially since my performance has consistently exceeded expectations.\n[00:40 - 00:50] Speaker B: I hear you, and I appreciate your dedication. But before we talk numbers, can we discuss how we can align your contributions with the company's goals to justify a potential raise?\n[00:50 - 00:54] Speaker A: That makes sense. Let's figure out how we can make that happen."
+  },
+  {
+    "key": "SODA_PROCESSED--train--269886",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--269886.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I'm sorry, I didn't mean to hurt your feelings.\n[00:03 - 00:04] Speaker B: Why would you say something like that?\n[00:05 - 00:09] Speaker A: I don't know. It just came out. I didn't mean it, I swear.\n[00:10 - 00:18] Speaker B: But why would you say it if you didn't think about how it would affect me? It feels like you didn't consider my feelings at all and that makes me question our friendship.\n[00:12 - 00:17] Speaker A: I just don't understand how you could say something so hurtful without meaning it. Can you explain?\n[00:18 - 00:22] Speaker B: I don't know! I feel really bad about it. Can you forgive me?\n[00:23 - 00:35] Speaker A: I don't know... this hurts a lot. You're supposed to be my friend and you just said something really hurtful  and I can't just forget it easily because trust takes time to rebuild after being broken like this.\n[00:36 - 00:41] Speaker B: You're right, and I deeply regret it. Please, Lily, can you forgive me? I'm so sorry."
+  },
+  {
+    "key": "SODA_PROCESSED--train--162106",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--162106.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much, what's up with you?\n[00:03 - 00:16] Speaker A: I'm not feeling too great. I have a headache and I'm feeling kind of dizzy and a bit out of sorts, like my body isn't quite cooperating with me today and everything feels slightly out of focus.\n[00:08 - 00:13] Speaker B: Sorry to jump in, but have you had any water today? Sometimes dehydration can cause headaches.\n[00:16 - 00:22] Speaker A: You know, I haven't had much water today. That might be part of it, but I'm also feeling kind of sad.\n[00:23 - 00:25] Speaker B: That sounds rough. Do you want to talk about it?\n[00:26 - 00:32] Speaker A: I don't really know what's going on. I just feel off and it's hard to pinpoint exactly why.\n[00:32 - 00:39] Speaker B: Do you think it could be stress? Sometimes stress can sneak up on you and make you feel off without you even realizing it.\n[00:39 - 00:45] Speaker A: Maybe, I've had a lot on my mind lately. I was going to say that I just feel off today.\n[00:45 - 00:51] Speaker B: Well, sometimes when we feel off, it might help to talk about what's going on with someone who will listen without judging. Would you like that?\n[00:51 - 00:56] Speaker A: Yeah, that would be nice. Thanks for being understanding."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1140564",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1140564.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Aixa, I need you to finish this task for me.\n[00:03 - 00:04] Speaker B: What task?\n[00:05 - 00:20] Speaker A: The one that we've been working on for the past few days. I'm tired of it and I want to take a break to focus on some other critical issues that have been piling up on my desk, including the quarterly financial review and upcoming team restructuring plans.\n[00:10 - 00:16] Speaker B: Wait, are you referring to the marketing report or the client presentation? I need to clarify which one.\n[00:20 - 00:35] Speaker A: The marketing report. I appreciate you taking over. I just feel  overwhelmed with the current workload and need to redistribute some tasks to ensure everything gets completed efficiently without compromising quality or missing deadlines.\n[00:35 - 00:40] Speaker B: I understand, Mehki. You've been handling a lot lately. I'll get it done as soon as possible.\n[00:40 - 00:42] Speaker A: Thank you, Aixa. I appreciate it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--556060",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--556060.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Why would you do something like this to me? I thought we were friends.\n[00:04 - 00:17] Speaker B: I'm sorry, Malek. I didn't mean to hurt you. I was just trying to help out my cousin who was in a really tough spot and needed immediate assistance with medical bills after his accident, and I panicked when I couldn't think of another solution quickly enough.\n[00:08 - 00:14] Speaker A: But why did you think that helping your friend had to come at my expense? Couldn't you find another way?\n[00:17 - 00:22] Speaker B: You could have helped your friend without hurting me in the process. I don't understand why you did this.\n[00:22 - 00:38] Speaker A: I was just trying to do what I thought was best for everyone involved. I'm sorry if it  seemed like I didn't consider your feelings or the consequences of my actions, but I was under tremendous pressure and made a terrible judgment call in the heat of the moment.\n[00:38 - 00:43] Speaker B: I get that you had good intentions, but you should have considered the impact on our friendship.\n[00:43 - 00:50] Speaker A: Well, it did hurt me. I trusted you and you betrayed that trust. I don't know if I can ever forgive you for this.\n[00:51 - 00:56] Speaker B: I understand how you feel, Malek. I'm truly sorry for what I did. I hope someday you can forgive me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--156744",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--156744.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hi, welcome to my store. What can I get for you today?\n[00:04 - 00:06] Speaker B: Hi. I'd like a Coke, please.\n[00:06 - 00:17] Speaker A: I'm sorry, but we only have Pepsi today. Is that okay with you or would you prefer to try one of our other refreshing beverages like lemonade or iced tea which are equally delicious?\n[00:10 - 00:14] Speaker B: Wait, you don't have Coke at all? That's really frustrating, I was really craving one.\n[00:18 - 00:22] Speaker A: I understand, but we only have Pepsi. Would you like something else?\n[00:23 - 00:27] Speaker B: No, that's not alright. I don't want Pepsi. I want Coke.\n[00:27 - 00:40] Speaker A: I'm really sorry, but we don't have Coke. Maybe  you could try another drink that you might enjoy just as much like our signature fruit smoothies or freshly squeezed orange juice which are quite popular among our customers?\n[00:41 - 00:45] Speaker B: You know, this is ridiculous. Every time I come here, it's the same issue.\n[00:45 - 00:54] Speaker A: I completely understand your frustration. Would you like to try something else, or maybe I can suggest another store nearby that might have Coke?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1149932",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1149932.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: Why are you being so casual about this? This is a serious situation, and you're just brushing it off as if it doesn't matter.\n[00:08 - 00:16] Speaker B: I'm sorry to interrupt, but I want to clarify—I wasn't trying to be casual. I just thought that since we're both okay, there was no need to worry too much.\n[00:16 - 00:24] Speaker A: Well, I'm not okay. I'm scared, and I don't know what's going to happen next. So please, just try to be more serious.\n[00:25 - 00:35] Speaker B: I am being serious. I'm just trying to stay calm so we can think clearly and make the best decisions in this situation by carefully considering all possible outcomes and potential solutions.\n[00:28 - 00:34] Speaker A: I get that, but when you say you're calm, it feels like you're downplaying how serious this is.\n[00:35 - 00:39] Speaker B: You're right, I'll stop making jokes. I didn't realize it was affecting you like this."
+  },
+  {
+    "key": "SODA_PROCESSED--train--286623",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--286623.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Thanks, man. That was really fun.\n[00:02 - 00:05] Speaker B: Yeah, no problem. I'm glad you enjoyed it.\n[00:05 - 00:17] Speaker A: I definitely did. It's been a while since I've had the chance to sing like that, and it felt so good to just let loose and express myself through music after such a long time of not performing.\n[00:10 - 00:14] Speaker B: Oh, by the way, what was the name of that last song we played? I really liked it.\n[00:17 - 00:27] Speaker A: Oh, that was \"Under the Bridge\" by the Red Hot Chili Peppers. It's one of my favorites. Anyway, I was saying it's been a while since I've had the chance to sing like that.\n[00:28 - 00:31] Speaker B: Well, you're welcome to come back and sing anytime you want.\n[00:31 - 00:36] Speaker A: Thanks, I might just take you up on that. So, how did you get into music?\n[00:37 - 00:49] Speaker B: Oh, well, I've been playing guitar for as long as I can remember. My dad is a big music fan, so he got me started when I was young. And then I just sort of started experimenting with different styles and genres, and it all kind of clicked.\n[00:49 - 00:53] Speaker A: Did your dad play any instruments too, or was he more of a listener?\n[00:54 - 00:59] Speaker B: He was more of a listener, but he had a great ear for music. Anyway, I just sort of ran with it from there.\n[00:59 - 01:03] Speaker A: That's really cool. Do you play any other instruments?\n[01:03 - 01:06] Speaker B: Yeah, I also play bass and drums.\n[01:06 - 01:10] Speaker A: Wow, that's impressive. I can barely play the guitar.\n[01:10 - 01:12] Speaker B: It's not that hard once you get the hang of it.\n[01:13 - 01:15] Speaker A: I should probably take some lessons then.\n[01:16 - 01:21] Speaker B: Definitely. Or you could just come over and jam with me sometime. I'm always down for making music."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1188975",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1188975.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: So, how have things been going for you lately?\n[00:02 - 00:14] Speaker B: Not too bad, I guess. Just been really busy with work and trying to balance everything has been a bit overwhelming, especially with all the new responsibilities I've taken on this quarter while still maintaining my personal commitments.\n[00:06 - 00:12] Speaker A: Speaking of work, have you had any major projects recently that have been taking up most of your time?\n[00:14 - 00:32] Speaker B: Yeah, actually, there's this one big project that's been pretty demanding. It's been keeping me on my toes, but it's also kind of exciting. I was going to say that it's also been a bit stressful, but  I'm trying to stay positive and focus on the progress we're making, which has been significant despite the tight deadlines and complex requirements we're dealing with.\n[00:32 - 00:39] Speaker A: I totally get that! Stressful projects can be tough, but they often lead to the most growth, don't you think?\n[00:39 - 00:44] Speaker B: Absolutely, they do. And I guess that's the silver lining—learning and growing through the challenges."
+  },
+  {
+    "key": "SODA_PROCESSED--train--819618",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--819618.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: So, what are you up to these days?\n[00:02 - 00:04] Speaker B: I'm thinking about going back to school.\n[00:05 - 00:15] Speaker A: Really? What made you consider that? I've been feeling the same way recently, especially since our industry has changed so much and requires more specialized skills than before.\n[00:06 - 00:11] Speaker B: Sorry to cut you off, but I just wanted to ask—have you thought about what you want to study?\n[00:16 - 00:28] Speaker A: I was about to say that I feel like I need to do something with my life. I can't keep working at this job forever. But to answer your question, I'm still figuring out what to study. What about you?\n[00:28 - 00:35] Speaker B: I've been thinking about it too, but I'm not sure yet. I just feel like I need a change, and it would be good for my career.\n[00:35 - 00:40] Speaker A: That's true. But are you sure you're ready for that? It's a lot of work.\n[00:40 - 00:44] Speaker B: Yeah, I know. But I'm willing to try it out and see how it goes.\n[00:45 - 00:48] Speaker A: Well, if you're serious about it, then you should definitely do it!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--630141",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--630141.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: Hey, Andersen! I saw your wedding photo on Facebook and just wanted to say congrats! You looked so beautiful in that dress.\n[00:07 - 00:20] Speaker B: Thank you so much, Everley! It was such a special day. I'm so lucky to have found the man of my dreams who truly understands and supports me in every way possible. We've been through so much together, and it all led to that perfect moment.\n[00:13 - 00:19] Speaker A: Speaking of your husband, how did he react when he first saw you in that dress? I bet he was speechless!\n[00:20 - 00:32] Speaker B: Oh, he was absolutely stunned! He couldn't stop smiling. I remember he told me I looked like a princess. But I haven't mentioned how we both felt during the ceremony—it was such an emotional moment. We were both tearing up.\n[00:32 - 00:35] Speaker A: I can imagine. Those moments are unforgettable."
+  },
+  {
+    "key": "SODA_PROCESSED--train--65045",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--65045.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: So, what do you think my chances are?\n[00:02 - 00:06] Speaker B: Well, it depends. Have you been keeping up with the evidence and discovery in the case?\n[00:07 - 00:23] Speaker A: Yeah, I've been reading everything. It seems like the prosecution has a lot of circumstantial evidence, but nothing that directly ties me to the crime scene which is actually a good thing because without concrete proof, it becomes much harder for them to secure a conviction in court.\n[00:17 - 00:23] Speaker B: Sorry to interrupt, but when you say \"circumstantial evidence,\" do you mean they lack direct witnesses or physical proof?\n[00:24 - 00:45] Speaker A: Exactly, they don't have direct witnesses or physical proof. That's true. But you can't underestimate them. They may have something that we don't know about yet. The best thing you can do is to keep gathering as much information as possible  and stay ahead of any surprises by thoroughly reviewing all the case documents and anticipating their possible arguments.\n[00:46 - 00:49] Speaker B: Wait, are there any potential risks we haven't considered yet?\n[00:50 - 01:00] Speaker A: The best thing you can do is to keep preparing your defense and be ready for anything. Alright. I just want to make sure I'm doing everything I can to win this case.\n[01:00 - 01:04] Speaker B: You're doing everything you can. Just keep positive and don't give up hope."
+  },
+  {
+    "key": "SODA_PROCESSED--train--98673",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--98673.wav",
+    "model_output": "[00:00 - 00:15] Speaker A: Hey, it's nice to finally meet you. I feel like I've been talking to you online for so long that it feels like we already know each other, sharing all those late-night conversations and inside jokes that have really built our friendship over these past few months.\n[00:05 - 00:12] Speaker B: Forever, right? Yeah, I know. It's crazy how we can just connect with someone from across the world so easily nowadays.\n[00:16 - 00:17] Speaker A: So what do you do for fun?\n[00:18 - 00:28] Speaker B: I like to read and listen to music. And of course, spending time with friends and  catching up on some good shows when I get the chance, especially those gripping mystery series that keep me guessing until the very last episode.\n[00:29 - 00:33] Speaker A: Family is important. I totally get that. What about your favorite genre of music?\n[00:34 - 00:39] Speaker B: I enjoy a bit of everything, but I'm really into indie rock lately. What about you?\n[00:39 - 00:49] Speaker A: I like playing video games and watching TV. But lately, I've been feeling kind of lonely without anyone to talk to in person. It's nice to have someone to talk to again.\n[00:50 - 00:56] Speaker B: Yeah, I know what you mean. It's easy to feel isolated when you're not around people that much. But at least we have each other now!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--203528",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--203528.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Good afternoon, Ms. Smith.\n[00:01 - 00:04] Speaker B: Good afternoon, Sidra. How are you today?\n[00:04 - 00:10] Speaker A: I'm doing well, thank you. I just wanted to ask a question about the homework assignment from last night.\n[00:11 - 00:19] Speaker B: Sure, what's your question about the assignment? I'd be happy to clarify any confusion you might have regarding the instructions or the concepts we covered in class yesterday.\n[00:12 - 00:20] Speaker A: Sorry to interrupt, but I was really confused about the second part of the assignment. Could you explain that part specifically?\n[00:21 - 00:28] Speaker B: Of course, let me take a look at it real quick. Okay, I see what you're struggling with. Let's work through it together and see if we can figure it out.\n[00:29 - 00:30] Speaker A: Thank you, Ms. Smith.\n[00:30 - 00:37] Speaker B: No problem, that's what I'm here for. Let's see if we can get you caught up on this assignment so you can be confident going into the test next week.\n[00:38 - 00:43] Speaker A: Oh, and I just realized, the test next week—will it cover similar problems?\n[00:43 - 00:54] Speaker B: Yes, it will, which is why it's important to understand this now. Let's focus on this so you're fully prepared for  the test and any future assignments that build upon these fundamental concepts we're covering today."
+  },
+  {
+    "key": "SODA_PROCESSED--train--813478",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--813478.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Holy shit, what happened here?\n[00:02 - 00:15] Speaker B: It looks like this person was stabbed multiple times. We're still trying to piece together what happened, but it's pretty clear that they didn't stand a chance of surviving such a brutal attack given the severity and number of wounds we've observed on the victim's body.\n[00:09 - 00:15] Speaker A: Wait, do we have any witnesses or surveillance footage that might help us figure out who did this?\n[00:15 - 00:29] Speaker B: We're checking the area for any cameras that might have caught something. Unfortunately, violent crimes like this are all too common these days. We'll do our best to catch the perpetrator and bring them to justice as quickly as possible, but it's going to take some time to gather all the evidence.\n[00:30 - 00:36] Speaker A: I really hope we can get some leads soon. It's just so horrifying to think that someone could do something like this.\n[00:37 - 00:44] Speaker B: I know it's hard to understand, but sometimes people do terrible things for no reason at all. We just have to hope that justice is served in the end."
+  },
+  {
+    "key": "SODA_PROCESSED--train--821468",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--821468.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, Ameria. I was just thinking about you and wanted to talk to you.\n[00:04 - 00:06] Speaker B: What's up, Kevonte? What's on your mind?\n[00:07 - 00:20] Speaker A: I was just thinking about how much you mean to me and how grateful I am to have you in my life, especially during tough times when I feel lost and uncertain about the future, your support always helps me find my way back.\n[00:11 - 00:17] Speaker B: Sorry to jump in, Kevonte, but I just remembered—did you get a chance to read that letter I sent you last week?\n[00:21 - 00:27] Speaker A: Oh, I haven't had the chance yet. But I wanted to let you know that I really appreciate you being there for me.\n[00:28 - 00:32] Speaker B: Of course, Kevonte. I'm always here for you. You're my best friend and I love you.\n[00:33 - 00:34] Speaker A: I love you too, Ameria."
+  },
+  {
+    "key": "SODA_PROCESSED--train--962210",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--962210.wav",
+    "model_output": "[00:00 - 00:20] Speaker A: Sarah, I just don't know what to do. I've been dating Brian for a while now and I thought things were going great, but lately he's just been acting so distant. I don't know if he's losing interest in me or if something else is bothering him that he's not telling me about, like maybe he's going through personal issues or having second thoughts about our relationship.\n[00:14 - 00:21] Speaker B: Do you think it could be something external, like work stress or family issues? Sometimes people withdraw when they're dealing with something heavy.\n[00:21 - 00:44] Speaker A: I thought about that, but when I tried asking him what was wrong, he just brushed me off and said everything was fine. But I know something is up. He used to be so sweet and attentive, and now it feels like he's barely even making an effort to spend time with me or show affection like he used to, which makes me wonder if he's falling out of love or just overwhelmed with other responsibilities.\n[00:42 - 00:48] Speaker B: Maybe he's just not ready to open up yet. Have you given him some space to see if he comes around on his own?\n[00:48 - 01:00] Speaker A: I haven't really given him much space, to be honest. I was too worried about what was going on. But you're right, maybe I should try that and see if it helps. Thanks for the advice, Sarah.\n[01:01 - 01:03] Speaker B: Of course, that's what friends are for. Good luck!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--243573",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--243573.wav",
+    "model_output": "[00:00 - 00:10] Speaker A: I'm just so nervous. I don't know if I can do well under pressure, especially with everyone watching me and judging my every move when all I want is to perform at my best.\n[00:03 - 00:08] Speaker B: Hey, it's okay. Just take a deep breath and relax. You're doing great so far.\n[00:10 - 00:17] Speaker A: I don't know if I can answer these questions the way you want because sometimes I get flustered and lose my train of thought.\n[00:18 - 00:22] Speaker B: Don't worry about what I want. Just be honest and tell the truth. That's all you can do.\n[00:22 - 00:26] Speaker A: But what if they don't believe me? What if they think I'm lying?\n[00:26 - 00:35] Speaker B: Anwar, look at me. You're not going to get in trouble for telling the truth. I promise you that. Just relax and answer the questions the best you can, okay?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--385591",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--385591.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Tiffani, I have been thinking long and hard about this, and I think it's time.\n[00:05 - 00:06] Speaker B: What's time?\n[00:06 - 00:08] Speaker A: It's time for us to get married.\n[00:08 - 00:09] Speaker B: You want to get married?\n[00:10 - 00:14] Speaker A: Yes, Tiffani. I love you and I want to spend the rest of my life with you.\n[00:14 - 00:27] Speaker B: But what about our careers? We've only been working at our current jobs for a short time, and we have so many professional goals we want to achieve before settling down, like completing our master's degrees and getting those promotions we've been working towards.\n[00:17 - 00:24] Speaker A: I know it seems sudden, but when you know, you know. And I know that I want to spend the rest of my life with you.\n[00:27 - 00:29] Speaker B: Are you sure about this?\n[00:29 - 00:34] Speaker A: Yes, absolutely positive. So what do you say? Will you marry me?\n[00:35 - 00:38] Speaker B: Wow! This is unexpected but yes, Enrico I will marry you!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1113559",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1113559.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, are you okay? You look like you've been through a lot.\n[00:04 - 00:15] Speaker B: Yeah, I'm fine. I was just stranded on this island for a while. But thanks to you, I'm finally able to get back to safety and reconnect with my family who must have been worried sick about my sudden disappearance.\n[00:09 - 00:13] Speaker A: Stranded? How did you end up here? Was it an accident?\n[00:15 - 00:23] Speaker B: Yeah, it was. I was just exploring and lost track of time. By the time I realized, it was too late to get back. But thanks to you, I'm safe now.\n[00:24 - 00:30] Speaker A: I'm glad I could help. It's not safe to be out here alone. What were you doing on the island by yourself?\n[00:31 - 00:40] Speaker B: I was just exploring. I wanted to see what was out  there beyond the usual tourist spots, hoping to discover some hidden caves or ancient artifacts that might have been overlooked by others.\n[00:40 - 00:46] Speaker A: Exploring is fun, but it can be dangerous in unknown places like this. Did you have any supplies with you?\n[00:47 - 00:52] Speaker B: Not really. I thought I'd be back quickly, so I didn't bring much. You're right, I should have been more prepared.\n[00:53 - 00:58] Speaker A: Well, you're lucky I came along when I did. You could have been hurt or worse.\n[00:58 - 01:01] Speaker B: Yeah, I know. I'm really grateful that you saved me.\n[01:01 - 01:05] Speaker A: Don't mention it. Just be more careful in the future, okay?\n[01:05 - 01:08] Speaker B: Okay, I will. Thanks again for everything."
+  },
+  {
+    "key": "SODA_PROCESSED--train--977126",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--977126.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Hey, Sarah. I'm looking for a new apartment and I was wondering if you had any recommendations.\n[00:06 - 00:11] Speaker B: Yeah, definitely. Have you been looking around at any places yet?\n[00:11 - 00:16] Speaker A: Not really. I've been kind of avoiding it because I'm feeling really nervous.\n[00:17 - 00:24] Speaker B: Why are you feeling so anxious about it when you haven't even started looking yet? I think you might be overthinking this whole process before giving it a fair chance.\n[00:18 - 00:33] Speaker A: I guess it's just a lot of pressure. I want to make sure I find something that's affordable and in a good location. Plus, I've heard stories about people who have had bad experiences with their landlords or roommates. So, I guess I'm just worried about making the wrong choice.\n[00:34 - 00:48] Speaker B: I get that, but you know, there are plenty of good apartments out there. And as long as you do your research, you should be fine. Besides, even if you do end up in a less than ideal situation, it's not the end of the world. You can always move again if things don't work out as planned.\n[00:48 - 00:57] Speaker A: True, but I'd rather avoid the hassle of moving again if I can help it. Do you have any specific places in mind that you think would be good for me?\n[00:57 - 01:07] Speaker B: Yeah, actually my friend just moved into this really great place downtown that's really affordable and close to everything. Let me give her a call and see if she wouldn't mind giving you the information herself."
+  },
+  {
+    "key": "SODA_PROCESSED--train--934119",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--934119.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Anasofia. I wanted to talk to you about something.\n[00:04 - 00:05] Speaker B: Hey, what's up?\n[00:05 - 00:23] Speaker A: I feel like we've been drifting apart lately and I'm not really sure where things stand between us. I just want to know if you're still interested in me or if you're thinking that maybe we should take a step back and reevaluate our relationship because I don't want to keep feeling this distance between us.\n[00:15 - 00:21] Speaker B: Wait, are you saying that because of how busy I've been with work? I didn't realize it was affecting us this much.\n[00:23 - 00:29] Speaker A: Well, it felt like you were ignoring me. And it hurt because I thought we were closer than that.\n[00:29 - 00:41] Speaker B: Jamin, I'm sorry. I really am. Please believe me when I say that I still care about you a lot and our relationship is  something I value deeply and would never want to lose, even if I haven't been showing it properly lately.\n[00:41 - 00:47] Speaker A: I believe you, but I need to feel it too. I need to know we're both making time for each other.\n[00:48 - 00:51] Speaker B: You're right. I'll make more of an effort. Thank you for being honest with me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--798455",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--798455.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: Hey, thanks for checking out my car. I just wanted to make sure everything was in good working order before I hit the road for a long trip this weekend, especially since I'll be driving through some pretty remote areas with limited service stations along the way.\n[00:07 - 00:14] Speaker B: Sorry to interrupt, but do you have a specific destination in mind? It might help me give you some additional advice if I know where you're heading.\n[00:14 - 00:22] Speaker A: Oh, good point! I'm actually planning a road trip up to the mountains. So, what do you think? Is everything looking good?\n[00:22 - 00:37] Speaker B: Everything looks fine under the hood. The oil levels are good, the water levels are good, and the tires have plenty of tread. The only thing I'd check is your gas level and make sure your emergency brake is functioning properly, especially since you'll be driving in hilly terrain.\n[00:37 - 00:44] Speaker A: Engaged, right? I'll double-check that. Anything else I should be aware of, especially considering the mountain roads?\n[00:45 - 00:49] Speaker B: Other than that, you should be all set! Just make sure to take it slow on those curves.\n[00:50 - 00:54] Speaker A: Alright, well thanks for your help. I feel much more confident now.\n[00:55 - 00:57] Speaker B: No problem, happy to help. Drive safe!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--460378",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--460378.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: The queen is worth the most points, but the king is obviously the most important because if he gets captured, then you lose the game immediately regardless of how many other pieces you have remaining on the board or what position you're in.\n[00:07 - 00:10] Speaker B: Wait, so if the king is captured, the game ends immediately, right?\n[00:15 - 00:23] Speaker A: Yes, exactly. The game ends immediately, and you lose. So it sounds like strategy is really important in this game.\n[00:23 - 00:31] Speaker B: Yeah, it definitely is. There are a lot of different ways to win, and you have to be very careful with your moves because one wrong move can cost you the game.\n[00:32 - 00:36] Speaker A: This sounds like a really challenging and fun game! I'd love to try it sometime."
+  },
+  {
+    "key": "SODA_PROCESSED--train--419812",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--419812.wav",
+    "model_output": "[00:00 - 00:09] Speaker A: Oh my goodness, this painting is absolutely stunning! The colors are so vibrant and the detail is incredible. It's like I can see everything happening in the scene.\n[00:10 - 00:11] Speaker B: Thank you, I'm glad you like it.\n[00:12 - 00:26] Speaker A: How did you come up with such a beautiful landscape? It must have taken so much time and effort to capture all these intricate details and the perfect lighting, especially considering how the colors blend so seamlessly to create this breathtaking atmosphere.\n[00:17 - 00:24] Speaker B: Actually, it did take a lot of time, but I wanted to ask, do you have a favorite part of the painting? Something that stands out to you the most?\n[00:27 - 00:35] Speaker A: Oh, definitely the way the light hits the trees. It gives such a warm and inviting feeling. But you were saying about the effort it took?\n[00:35 - 00:44] Speaker B: Well, I wanted to capture the beauty of nature and the peace that comes with it. I wanted to create a place where people could escape from their busy lives and just relax for a while.\n[00:45 - 00:53] Speaker A: You definitely succeeded! This painting makes me feel happy and calm just looking at it. It's like a little piece of paradise.\n[00:53 - 00:56] Speaker B: That's exactly what I was going for, so I'm glad you appreciate it.\n[00:57 - 01:03] Speaker A: I can't believe how realistic it looks. It's like I could step right into the painting and explore everything.\n[01:04 - 01:06] Speaker B: That's a really great compliment. Thank you.\n[01:06 - 01:17] Speaker A: Do you sell your paintings? I would love to  have a piece like this in my home where I can admire it every day and share its beauty with friends and family who visit.\n[01:17 - 01:23] Speaker B: Absolutely, I do sell them. But before you decide, can I tell you more about the inspiration behind this particular piece?\n[01:24 - 01:27] Speaker A: Yes, please! I'd love to hear more about what inspired you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--514225",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--514225.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I've decided to start writing a novel.\n[00:02 - 00:04] Speaker B: What made you come to that decision?\n[00:04 - 00:23] Speaker A: I was reading a book by Charles Dickens and I suddenly felt inspired. He's such a great writer and I thought to myself, \"I can do this and create something that resonates with readers on a deep level, exploring themes of social injustice and personal redemption just like he did in his classic novels.\"\n[00:13 - 00:20] Speaker B: Oh, Dickens! His work is so intricate. Are you planning to emulate his style, or will you be adding your own twist to it?\n[00:23 - 00:46] Speaker A: I'll definitely add my own twist to it. My novel is set in the Victorian era and it follows the story of two young lovers who are forced to part ways. But they never forget each other and eventually find their way  through all the challenges life throws at them, discovering new strengths within themselves and ultimately proving that true love can withstand even the harshest of circumstances.\n[00:46 - 00:55] Speaker B: Victorian era, you say? That era has such a rich atmosphere. How are you planning to research the historical details to make sure everything feels authentic?\n[00:55 - 01:09] Speaker A: I'm planning to dive into some historical texts and maybe even visit a few museums. I was going to mention that they eventually find their way back to each other, but the research is definitely a big part of the process."
+  },
+  {
+    "key": "SODA_PROCESSED--train--437038",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--437038.wav",
+    "model_output": "[00:00 - 00:10] Speaker A: Hey Kaisyn, it's Kaniyah. I was just thinking about you and wanted to catch up and see how you're doing since we haven't had a proper conversation in what feels like forever.\n[00:04 - 00:10] Speaker B: Oh, hey Kaniyah! Sorry to jump in, but I was just thinking about you too. How have you been?\n[00:10 - 00:18] Speaker A: I'm doing good. Just missing you a lot lately. I was thinking about the time we spent together last summer and how much fun we had.\n[00:19 - 00:23] Speaker B: Yeah, I miss those times too. We should really try to get together more often.\n[00:24 - 00:35] Speaker A: I'd like that. I feel like we've both been so busy lately and it's hard to  make plans that actually stick because our schedules never seem to align properly no matter how much we try.\n[00:36 - 00:44] Speaker B: I know, right? It's like we're always running around. But I was wondering, do you have any free time coming up? Maybe we can plan something soon.\n[00:44 - 00:55] Speaker A: That sounds perfect. I was just about to say it's hard to find time to just relax and be with each other, but I'm definitely looking forward to spending more time with you soon."
+  },
+  {
+    "key": "SODA_PROCESSED--train--456887",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--456887.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Hey, Mom. I noticed that there wasn't enough food for everyone, so I decided to make a meal for the family.\n[00:07 - 00:15] Speaker B: Charley, you didn't have to go to all that trouble, but I really appreciate it especially since you took the time to prepare everyone's favorite dishes and set the table so nicely.\n[00:08 - 00:15] Speaker A: I know, but I wanted to. I wanted to make sure that everyone had enough to eat and that they enjoyed the meal.\n[00:16 - 00:18] Speaker B: Thank you, son. That was really thoughtful of you.\n[00:19 - 00:23] Speaker A: No problem, Mom. I just want to help out however I can.\n[00:23 - 00:30] Speaker B: We appreciate it, honey. You're growing up to be such a responsible young man. It's great to see how much you care about the family.\n[00:31 - 00:42] Speaker A: Speaking of responsibility, I was wondering if I could help out more regularly around  the house with chores like doing laundry, cleaning the kitchen, and maybe even helping with grocery shopping when you need it?\n[00:43 - 00:46] Speaker B: Of course, that would be wonderful. We could always use the extra help."
+  },
+  {
+    "key": "SODA_PROCESSED--train--25283",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--25283.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hi, Kenley. What's up?\n[00:02 - 00:06] Speaker B: Not much. Just wanted to ask how you're doing. You seem a bit distracted lately.\n[00:06 - 00:16] Speaker A: I'm fine, just have a lot on my plate with work deadlines and personal commitments that have been piling up over the past few weeks, making it hard to find time for myself.\n[00:09 - 00:14] Speaker B: Sorry to interrupt, but is this about that big project at work? I've noticed it's been really demanding.\n[00:17 - 00:25] Speaker A: The project is part of it, but it's also other things. Mostly stress from work and life in general. Thanks for offering though.\n[00:26 - 00:37] Speaker B: No problem. I care about you and want to help if I can. Let me know if you ever need to  talk or need a break from everything because sometimes stepping away for a short while can help clear your mind and give you fresh perspective.\n[00:37 - 00:42] Speaker A: Actually, speaking of help, do you have any advice on managing stress?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--868975",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--868975.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Doctor, I just don't feel well at all. I'm tired all the time, my throat hurts, and I have this horrible headache.\n[00:07 - 00:11] Speaker B: Well, Zowie, let's take a look. First of all, how long have you been feeling this way?\n[00:11 - 00:18] Speaker A: I don't know, a week or two maybe? It started out slowly but then just got really bad all of a sudden.\n[00:18 - 00:28] Speaker B: Okay, well let's start with some basic questions then. Have you been having any unusual symptoms like dizziness or nausea that might help us pinpoint what's going on with your immune system?\n[00:22 - 00:30] Speaker A: Sorry, I just remembered something—my appetite has been really off too. I don't feel like eating much these days.\n[00:30 - 00:37] Speaker B: That's important to note. We'll definitely keep that in mind. But back to my earlier question, have you been having any fever?\n[00:37 - 00:40] Speaker A: No, no fever that I can recall.\n[00:40 - 00:42] Speaker B: Have you been having any chills?\n[00:42 - 00:46] Speaker A: Yeah, off and on I've had some chills, but nothing too bad.\n[00:47 - 00:49] Speaker B: Have you been feeling more tired than usual?\n[00:49 - 00:58] Speaker A: Yeah, like I said, I'm just really tired all the time. It's hard to get up in the morning and even when I do, I just feel exhausted by the end of the day.\n[00:59 - 01:04] Speaker B: Are you having any trouble breathing? Shortness of breath or anything like chest tightness or wheezing?\n[01:04 - 01:10] Speaker A: Actually, now that you mention it, my chest has been aching a bit lately. Could that be related?\n[01:10 - 01:16] Speaker B: It could be. We'll need to investigate that further. I was also going to ask if you've been coughing at all?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--468879",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--468879.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, I'm back from my trip to Europe! How was everything while I was gone?\n[00:05 - 00:16] Speaker B: Wow, it sounds like you had an amazing time! What was your favorite part of the trip? Did anything stand out in particular, like any special moments or unexpected adventures that made your journey truly memorable?\n[00:08 - 00:28] Speaker A: Oh, it's hard to pick just one! There were so many highlights, but if I had to narrow it down, I would say visiting the Eiffel Tower in Paris and then taking a gondola ride in Venice. Both were just so surreal and beautiful. I'm still trying to wrap my head around how much history and culture I was able to soak in during such a short period.\n[00:28 - 00:34] Speaker B: Sorry to interrupt, but did you get a chance to try any local foods while you were there? I've heard the cuisine is amazing!\n[00:35 - 00:52] Speaker A: Absolutely! The food was incredible. I had croissants every morning in Paris, and in Venice, I tried some of the best pasta I've ever had. But I was also going to mention how the museums were just as breathtaking as the food. The Louvre, for instance, was really cool.\n[00:52 - 00:56] Speaker B: That sounds like an amazing trip! I'm so happy you got to experience all of that."
+  },
+  {
+    "key": "SODA_PROCESSED--train--578559",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--578559.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: I'm really interested in history. It's so fascinating to learn about how people lived in different times and how they were affected by the events around them, especially when you consider the cultural and social dynamics at play in different eras.\n[00:15 - 00:22] Speaker B: Sorry to jump in, but I was just thinking—how do you usually approach learning about history? Do you focus on specific events or time periods?\n[00:22 - 00:46] Speaker A: I usually start with major events, but then I dive into the daily lives of people during those times. It's interesting to see how historical events shaped their lives. And you're right, there are definitely some lessons that we can learn from history. But it's also important to remember that history is always changing. As new information comes to light, our understanding of the past changes as well.\n[00:46 - 01:07] Speaker B: That makes sense. I guess I never really thought about it like that before. But it does seem like there would be a lot of gaps in our knowledge if we only relied on what was recorded without considering the perspectives that might have been left out or overlooked, which is why interdisciplinary approaches combining archaeology, anthropology, and textual analysis are becoming increasingly important in modern historical research.\n[00:55 - 01:10] Speaker A: Exactly! And that's why historians are always trying to fill in those gaps and build a more complete picture of what happened. It's an ongoing process, and sometimes we're successful and sometimes we're not, but that's what makes it so intriguing."
+  },
+  {
+    "key": "SODA_PROCESSED--train--845126",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--845126.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I don't like how that person ruined the event.\n[00:02 - 00:05] Speaker B: Yeah, that was really messed up. I'm sorry that happened.\n[00:06 - 00:11] Speaker A: Thanks. I was really looking forward to it and it just got ruined because of one person.\n[00:11 - 00:15] Speaker B: That must be really frustrating. Do you want to talk about what happened?\n[00:15 - 00:33] Speaker A: Yeah. So, I was at the event and everything was going great. I was having a lot of fun. And then all of a sudden, this one person just ruined the whole atmosphere by being obnoxious and disruptive, shouting over the speakers and deliberately causing chaos during the most important parts of the program.\n[00:23 - 00:27] Speaker B: How exactly did they ruin it? Did they say something or do something specific?\n[00:34 - 00:46] Speaker A: They started making rude comments and disrupting the activities. It just killed the vibe for everyone. It just sucks because I was really looking forward to it and then it got ruined because of one person.\n[00:46 - 00:49] Speaker B: That sounds really frustrating. I'm sorry that happened.\n[00:50 - 00:55] Speaker A: Thanks. I just wish there was a way to prevent people like that from ruining things for everyone else."
+  },
+  {
+    "key": "SODA_PROCESSED--train--815822",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--815822.wav",
+    "model_output": "[00:00 - 00:21] Speaker A: Honey, I was just in the living room and I heard a noise coming from outside. I went to investigate and it looks like a branch has fallen on the roof of our house. I'm so upset because I know we'll have to pay to have the branch removed and the damage might be worse than it looks from here, especially considering how old our roof is and how heavy that branch appears to be.\n[00:15 - 00:23] Speaker B: Oh, no! That's not good. Do you think the damage is significant? I mean, if it's just a few punctures, maybe it won't be as expensive as we fear.\n[00:24 - 00:37] Speaker A: I'm not sure. I can't really tell from down here. But it looks like the branch has punctured the roof in several places, and I'm worried it might have caused more structural damage that could compromise the integrity of the entire roof system.\n[00:36 - 00:43] Speaker B: Wait, did you already check if it's safe to go up there? I'm worried it might be dangerous if the roof is unstable.\n[00:43 - 00:56] Speaker A: I didn't go up; I just looked from the ground. But you're right, we should be careful. I'll call a few people and get some estimates for repairs. In the meantime, try not to worry about it too much, okay?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--218430",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--218430.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: This is a beautiful view.\n[00:02 - 00:04] Speaker B: It's one of my favorite things about living here.\n[00:04 - 00:14] Speaker A: I can see why. It's so peaceful and calming, especially in the evenings when the sun sets over the mountains and paints the sky in shades of orange and pink.\n[00:08 - 00:11] Speaker B: Sorry to cut in, but do you ever feel lonely being out here by yourself?\n[00:14 - 00:25] Speaker A: Sometimes, yes. But I needed a break from the city life, especially after my husband passed away. It's been about 5 years now since I moved here.\n[00:25 - 00:26] Speaker B: I'm sorry to hear that.\n[00:27 - 00:37] Speaker A: Thank you. It was a tough time, but I'm grateful for the peace and quiet of this place. It really helped me find some inner peace and come to terms with everything.\n[00:38 - 00:42] Speaker B: It must have been a big change, moving here after such a loss. How did you manage?\n[00:42 - 00:49] Speaker A: It was definitely an adjustment, but the tranquility here has been healing. I'm slowly getting there."
+  },
+  {
+    "key": "SODA_PROCESSED--train--835488",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--835488.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: I'm sorry, I know I shouldn't have broken in, but I really needed to find that book. It's been driving me crazy trying to remember where I last saw it because it contains some extremely rare historical documents that are crucial for my research project due next week.\n[00:07 - 00:10] Speaker B: What book are you talking about? And how did you even know it was here?\n[00:17 - 00:25] Speaker A: I heard about it from a friend and she said it was in this loft. I didn't mean to cause any trouble, I just really wanted to find it.\n[00:25 - 00:37] Speaker B: How did your friend even know about this book? It's not something that's widely  advertised or talked about in academic circles either, which makes me wonder how your bookstore friend came across such a specialized historical reference text.\n[00:37 - 00:47] Speaker A: She works in a bookstore and heard about it from one of the customers who was looking for it. Apparently, they had checked everywhere but couldn't find it so she thought maybe it was here.\n[00:48 - 00:53] Speaker B: That still doesn't explain why you decided to break in rather than just asking me if I had the book.\n[00:53 - 01:06] Speaker A: Well, I didn't want to bother you if you didn't have it and I figured since your place was open anyway, that maybe I could take a look myself. Again, I'm sorry for breaking in and causing any trouble.\n[01:06 - 01:17] Speaker B: It's not like you did any damage or anything so don't worry about it too much. As long as you're not going to try and steal anything else, you can stay and look for the book. Just be careful not to make too much of a mess."
+  },
+  {
+    "key": "SODA_PROCESSED--train--41116",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--41116.wav",
+    "model_output": "[00:00 - 00:19] Speaker A: Mom, I had a really bad dream last night. There were these monsters chasing me and I was running away from them. I was screaming and trying to get away, but they were getting closer and closer. It was so terrifying, I felt like I couldn't escape no matter how fast I ran, and the worst part was that I couldn't find anyone to help me in the dream.\n[00:13 - 00:23] Speaker B: Oh, Karoline, it sounds like you had a nightmare. Monsters aren't real, they're just made up in our imaginations. They can't hurt you unless you let them. But, do you remember anything specific about the monsters?\n[00:24 - 00:29] Speaker A: I know they're not real, but it was still so scary. I don't think I can forget about it.\n[00:30 - 00:41] Speaker B: Well, maybe we can talk about it and see if that helps. What do you think the monsters  might have been trying to tell you or represent in your dream, considering how vivid and persistent they were in chasing you throughout the nightmare?\n[00:41 - 00:46] Speaker A: I don't know. Maybe they represented my fear of failure or something.\n[00:46 - 00:50] Speaker B: That's a possibility. Do you feel like you're failing at something right now?\n[00:50 - 00:55] Speaker A: No, not really. But I am kind of scared about starting high school next year.\n[00:56 - 01:04] Speaker B: Ah, that makes sense. It's normal to be scared about something like that. But you'll be okay, I promise. Just take things one step at a time and you'll be fine.\n[01:05 - 01:09] Speaker A: Yeah, I guess you're right. Thanks for talking to me, Mom.\n[01:09 - 01:13] Speaker B: Of course, sweetie! Anytime you need to talk, just let me know."
+  },
+  {
+    "key": "SODA_PROCESSED--train--964867",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--964867.wav",
+    "model_output": "[00:00 - 00:09] Speaker A: Sarah, I just got this really creepy message that says \"I know what you did.\" Do you think it's from someone who knows about the thing we did last week?\n[00:09 - 00:24] Speaker B: Well, it's possible. But it could also be from someone who knows about something else you did. Either way, it's pretty unnerving, and I think we should figure out who might be behind it by checking your recent interactions and seeing if anyone has been acting suspiciously around you lately.\n[00:17 - 00:23] Speaker A: Wait, do you think it could be connected to that other thing I mentioned to you a while back? The one involving—\n[00:24 - 00:35] Speaker B: —Unsettling? Yeah, it is. But honestly, it might just be someone trying to mess with you. Maybe someone saw you do something random and decided to play a prank. Just don't let it get to you too much, OK?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1022590",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1022590.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: Hey coach. I wanted to come out here and show everyone that I can prove myself under pressure, and that I'm ready for tougher challenges by demonstrating my improved technique and mental resilience in high-stakes situations.\n[00:04 - 00:08] Speaker B: Hold on, Micheala. Are you sure you're ready for this? It's a big step.\n[00:13 - 00:17] Speaker A: Of course I am. I wouldn't have come out here if I didn't think I could win.\n[00:18 - 00:24] Speaker B: Okay, well let's see what you've got then. Remember to stay focused and don't let your emotions get the better of you.\n[00:25 - 00:27] Speaker A: I will, coach. Thanks for everything.\n[00:28 - 00:32] Speaker B: Remember, focus on your opponent and don't let anything else distract you.\n[00:32 - 00:44] Speaker A: I knew you could do it, Micheala! Now keep it up and you'll be  unstoppable in the next round if you maintain this level of performance and continue to adapt your strategy based on your opponent's weaknesses.\n[00:45 - 00:50] Speaker B: Victorious, right? But don't forget, it's not over until it's over. Stay sharp!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1041859",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1041859.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: I can't believe I missed my exam. I studied so hard and was really looking forward to taking the test.\n[00:06 - 00:09] Speaker B: Alida, I'm so sorry. What happened?\n[00:09 - 00:27] Speaker A: I don't know. I woke up this morning and realized that I had forgotten to set my alarm. By the time I realized it, it was too late to make it to the exam venue, and I just felt so helpless standing there knowing all my preparation was going to waste because of one simple mistake.\n[00:19 - 00:23] Speaker B: Oh no, did you try contacting your professor immediately to explain the situation?\n[00:27 - 00:35] Speaker A: I did, but the professor said that he wasn't giving any make-ups because the class is already behind schedule.\n[00:35 - 00:48] Speaker B: That doesn't seem fair. Maybe you could talk to him and explain what  an important opportunity this was for you and how much effort you put into preparing, including all those late nights studying and the sacrifices you made to be ready for this exam.\n[00:48 - 00:58] Speaker A: I tried, but he was quite firm about it. I'm just so upset right now. I worked so hard for this and I was really looking forward to taking the test.\n[00:58 - 01:01] Speaker B: It's okay, Alida. Things will work out."
+  },
+  {
+    "key": "SODA_PROCESSED--train--311173",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--311173.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Kyan. I wanted to talk to you about what happened the other day.\n[00:03 - 00:15] Speaker B: Oh, yeah. I'm sorry about that. I was really mad when it happened and I didn't mean to take it out on you like that. I was just frustrated with everything going on at work and let my emotions get the better of me in the moment.\n[00:09 - 00:15] Speaker A: I get it, but I think what really bothered me was that we didn't get a chance to talk it through before everything escalated.\n[00:16 - 00:19] Speaker B: Yeah, me too. I guess we both got pretty worked up about it.\n[00:19 - 00:25] Speaker A: Yeah, we did. But at least we're talking now and we can figure out a way to move forward from this.\n[00:26 - 00:32] Speaker B: Yeah, definitely. So, what do you think we should focus on first to make sure this doesn't happen again?\n[00:32 - 00:42] Speaker A: Before we dive into solutions, I just want to emphasize that better communication is key. We need to be more open with each other so this doesn't happen again.\n[00:42 - 00:45] Speaker B: Absolutely. That's something I definitely want to work on too.\n[00:46 - 01:02] Speaker A: Great! Secondly, I think we need to be more understanding of each other's perspectives and try to see things from"
+  },
+  {
+    "key": "SODA_PROCESSED--train--226853",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--226853.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, thanks for coming over. I really appreciate it.\n[00:03 - 00:08] Speaker B: No problem, I was happy to help out. Your place is really clean and well-kept.\n[00:08 - 00:21] Speaker A: Yeah, I like to keep things tidy. It just makes life easier when everything has its own designated spot, and you don't have to waste time looking for things or dealing with unnecessary clutter that can build up over time.\n[00:13 - 00:18] Speaker B: Speaking of which, do you have any tips for keeping things organized? I always struggle with that.\n[00:22 - 00:36] Speaker A: Sure, I can share a few tricks. But back to what I was saying, having a clean space at the end of the day is really important to me. Plus, it's nice knowing that everything is in its proper place and there's no mess to deal with.\n[00:37 - 00:40] Speaker B: Well, whatever your reasons are, your place looks great!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--268426",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--268426.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, have you been reading anything good lately?\n[00:03 - 00:19] Speaker B: Yeah, I just finished a really great book on the history of the world. It was really interesting to learn about all the different cultures and how they've interacted with each other over centuries, especially through trade and migration, which has shaped the modern geopolitical landscape in ways we're still discovering today.\n[00:12 - 00:18] Speaker A: Sorry to jump in, but when you say \"interacted,\" do you mean in terms of trade, conflict, or something else?\n[00:19 - 00:33] Speaker B: A bit of everything, actually. For instance, the book went into a lot of detail about the Silk Road and how it was used as a trade route between Asia and Europe. It was really interesting to learn about all the different countries that were involved in it and how it affected their cultures.\n[00:34 - 00:46] Speaker A: Yeah, I've always been interested in the Silk Road myself. I'm glad you mentioned that, because I was just reading a book about it last week. Did you know that there are actually two different routes that make up the Silk Road?\n[00:47 - 00:50] Speaker B: No, I didn't know that. What's the difference between them?\n[00:50 - 01:07] Speaker A: Well, the northern route is more direct and goes through some of the most populated areas of China. The southern route is longer and goes through more remote areas. It's also considered to be more dangerous because of bandits and desert conditions, which made it a risky choice for traders.\n[01:07 - 01:16] Speaker B: Wow, that sounds intense. I wonder how traders decided which route to take—was it based on the goods they were carrying or just personal preference?\n[01:16 - 01:26] Speaker A: Probably a mix of both. But yeah, it's fascinating how much strategy went into those decisions. You should definitely check out that book I mentioned."
+  },
+  {
+    "key": "SODA_PROCESSED--train--68508",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--68508.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Sarah! What's up?\n[00:02 - 00:06] Speaker B: Not much. Just getting ready for my track meet tomorrow. I'm really nervous though.\n[00:07 - 00:10] Speaker A: Why are you nervous? You're one of the best runners on the team!\n[00:11 - 00:29] Speaker B: I know, but I just feel like I have a lot to prove. My mom is coming to watch me tomorrow and I really want to make her proud. Plus, there's this one girl on the other team who's been trash talking me all week and I really want to show her that I can beat her fair and square while maintaining my composure and demonstrating true sportsmanship regardless of the outcome.\n[00:22 - 00:29] Speaker A: Wait, did you say she's been trash talking you? That's so unfair! How are you handling that?\n[00:29 - 00:40] Speaker B: It's been tough, but I'm trying to stay focused. Well, I think you're going to do great! Just focus on your own race and don't worry about anyone else. And remember, even if you don't win, your mom will still be proud of you.\n[00:40 - 00:50] Speaker A: Absolutely, and about that girl, maybe you can use her words as motivation to push yourself even harder. Thanks, Hadleigh. I really appreciate your support.\n[00:50 - 00:52] Speaker B: No problem! Good luck tomorrow!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1092370",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1092370.wav",
+    "model_output": "[00:00 - 00:18] Speaker A: I'm sorry for putting a frog in your desk, Ms. Smith. It was really immature of me and I know better than to disrupt class like that. I'll accept whatever punishment you deem fair, and I promise it won't happen again because I've learned my lesson about respecting classroom rules and my classmates' learning environment.\n[00:10 - 00:15] Speaker B: Jayde, before we talk about punishment, can you tell me why you thought it was okay to do something like that?\n[00:18 - 00:25] Speaker A: Honestly, I thought it would be funny, but I realize now it was just disruptive. I'm really sorry.\n[00:25 - 00:37] Speaker B: Well, Jayde, putting a frog in my desk was definitely not appropriate behavior. I think a week of detention is  necessary to help you reflect on your actions and understand the importance of making better choices in the future.\n[00:38 - 00:46] Speaker A: Ms. Smith, I completely understand, but can I ask if there's any way I can make it up by doing some extra work instead?\n[00:46 - 00:50] Speaker B: I appreciate the offer, but detention will be served during lunch starting next Monday.\n[00:51 - 00:53] Speaker A: Ok, thank you Ms. Smith."
+  },
+  {
+    "key": "SODA_PROCESSED--train--78189",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--78189.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hi! Let me help you find that book you're looking for.\n[00:03 - 00:07] Speaker B: Oh, thank you so much! I'm just looking for a book on philosophy.\n[00:08 - 00:23] Speaker A: Okay, let's see... we have a few books on philosophy over here. What are you specifically interested in? Are you looking for something more historical or perhaps something that focuses on a particular philosopher or contemporary philosophical movements?\n[00:13 - 00:21] Speaker B: Actually, before I forget, do you have any recommendations for someone who's just starting out with philosophy? I want something that's not too dense.\n[00:24 - 00:43] Speaker A: For beginners, Plato's Republic is actually a great start—it's deep but accessible. We also have Aristotle's Nicomachean Ethics, which is a bit more analytical but still  approachable for someone new to the subject, especially with the modern commentary editions we carry that help break down complex concepts.\n[00:43 - 00:46] Speaker B: Oh, Plato's Republic sounds perfect! I think I'll go with that.\n[00:47 - 00:51] Speaker A: Great choice! It's one of my favorites. Here you go.\n[00:51 - 00:52] Speaker B: Thank you so much!\n[00:53 - 00:57] Speaker A: No problem. Let me know if you need any help finding anything else."
+  },
+  {
+    "key": "SODA_PROCESSED--train--477747",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--477747.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, I'm just trying to have some fun.\n[00:02 - 00:13] Speaker B: Yeah, but do you have to be so loud? You're disrupting the entire building, and people are starting to complain to the management about the constant noise and disturbance during late hours when most residents are trying to sleep.\n[00:05 - 00:14] Speaker A: Sorry to interrupt, but I just wanted to say, it's not just that you're loud, it's that you're always banging things around and making a mess.\n[00:14 - 00:26] Speaker B: Hey, I can't help it if I'm clumsy. Besides, it's not like anyone ever gets hurt or  any serious damage is done to the property, and I always clean up after myself eventually when I have the time and energy to do so properly.\n[00:27 - 00:36] Speaker A: I understand accidents happen, but the point is that you're making life difficult for everyone else in the apartment complex. Can't you try to be more considerate?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--321447",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--321447.wav",
+    "model_output": "[00:00 - 00:22] Speaker A: So, I've been thinking about this project and I think we need to approach it from a few different angles. First of all, we need to consider the long-term effects of the project. What kind of impact will it have on the environment? Will it be sustainable enough to meet our goals without causing unintended harm to local ecosystems and maintaining biodiversity for future generations?\n[00:13 - 00:22] Speaker B: Sorry to jump in, but I was just wondering, have we already identified the key environmental factors we need to assess? It might help us narrow down our focus.\n[00:22 - 00:38] Speaker A: That's a good point. We definitely need to make sure that the project is sustainable. But we also need to think about the short-term effects. How will it impact the community immediately? We should be mindful of any disruptions or benefits it might bring.\n[00:38 - 00:49] Speaker B: Right. We can't just focus on one thing. We need to find a balance between the two. Otherwise, we'll end up with something that's not effective in the long run or doesn't meet the needs of the community right away.\n[00:49 - 00:59] Speaker A: Exactly. So, what are your thoughts on how we should prioritize these factors in our planning process? We need a clear strategy to address both short-term and long-term impacts.\n[01:00 - 01:08] Speaker B: Sorry, just to clarify, are we considering both qualitative and quantitative data when we talk to the community? That could really shape our approach.\n[01:08 - 01:25] Speaker A: Yes, we'll definitely need a mix of both. Then, we can look at some of the scientific data and see what options are available to us that would be both effective and sustainable. Once we have all that information, we can put together a plan and see if everyone is on board with it.\n[01:25 - 01:28] Speaker B: That sounds like a great plan! Let's get started right away!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--254497",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--254497.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Wow, the leaves are really beautiful this year, aren't they?\n[00:03 - 00:15] Speaker B: Yes, they are. It's amazing how vibrant the colors they seem to be this season, almost as if the trees are putting on a special show just for us with their brilliant reds, oranges, and yellows that seem to dance in the sunlight.\n[00:06 - 00:14] Speaker A: Sorry to interrupt, but do you think the weather this year had something to do with it? It feels like it's been different compared to last year.\n[00:16 - 00:22] Speaker B: You might be right. The weather has definitely been more unpredictable. I was going to say that the colors are almost like they're glowing.\n[00:23 - 00:26] Speaker A: I know! It's almost like they're trying to outdo each other.\n[00:27 - 00:30] Speaker B: Yeah, it's like they're competing to see who can be the most beautiful.\n[00:31 - 00:35] Speaker A: That's a good way to put it. I've never seen anything like it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1107341",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1107341.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, boss. Can I speak with you for a minute?\n[00:02 - 00:04] Speaker B: Sure, Tanis. What's up?\n[00:04 - 00:24] Speaker A: I was hoping to talk to you about a raise. I feel like I've been working hard and contributing a lot to the team, and I would really appreciate some extra financial recognition for the efforts I've put in over the past year, especially considering how I've consistently exceeded performance targets and helped mentor junior team members.\n[00:14 - 00:22] Speaker B: Sorry to cut in, Tanis. Before we dive into that, can you give me a quick overview of the specific contributions you're referring to?\n[00:24 - 00:41] Speaker A: Absolutely. For example, I've taken on several additional responsibilities, such as leading the new client onboarding process and optimizing our project management workflow. These efforts have resulted in a noticeable increase in efficiency and client satisfaction.\n[00:41 - 00:45] Speaker B: I see. Well, let me think about it and get back to you, okay?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--810606",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--810606.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey John! I'm so glad you came over.\n[00:03 - 00:07] Speaker B: Hey Celest! I was just in the neighborhood and thought I'd stop by.\n[00:07 - 00:08] Speaker A: So what's been up?\n[00:09 - 00:11] Speaker B: Not much, just hanging out with friends and stuff.\n[00:12 - 00:15] Speaker A: That sounds fun. I wish I could do that more often.\n[00:16 - 00:22] Speaker B: Yeah, it is fun. But I don't want to do it all the time. You know, sometimes it's nice to just stay home and relax.\n[00:22 - 00:56] Speaker A: Yeah, I know what you mean. It's like, when you're always out and about, you never really get a chance to appreciate your own company. And then when you're by yourself, you realize how great it can be just to have some peace and quiet for once! (She laughs) But seriously though, I do get lonely sometimes. It would be nice to have someone to spend more time with… like someone who truly understands me and enjoys the same things I do, someone who appreciates quiet moments as much as fun outings, and who values deep conversations over small talk.\n[00:43 - 00:51] Speaker B: Like me? Are you saying you want us to hang out more often? Because, honestly, I was thinking the same thing. We always have a good time together.\n[00:56 - 01:02] Speaker A: Yeah, exactly. I feel like we really get each other, and it's just easy being around you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--412246",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--412246.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi there! Are you looking for a new pair of shoes?\n[00:03 - 00:06] Speaker B: Yes, I am. I need a new pair of running shoes.\n[00:06 - 00:15] Speaker A: Great! We have a great selection of running shoes. Let me show you what we have. (Luigi shows the customer several pairs of running shoes.)\n[00:16 - 00:18] Speaker B: These all look great. It's hard to decide.\n[00:19 - 00:35] Speaker A: Yes, it can be tough to choose sometimes. But don't worry, we have plenty of time. Take your time and pick the pair that you like the most, and I can help you with any specific features you need, such as cushioning, breathability, or specialized support for your running style.\n[00:27 - 00:32] Speaker B: Actually, before I decide, do these shoes have good arch support? I need something that will help with that.\n[00:36 - 00:47] Speaker A: Absolutely, most of our running shoes are designed with excellent arch support. You can try them on to see how they feel. OK, I think I'll try these on. (The customer tries on a pair of shoes.)\n[00:48 - 00:49] Speaker A: How do they feel?\n[00:49 - 00:52] Speaker B: They're comfortable, but I'm not sure if I like the color.\n[00:52 - 00:58] Speaker A: Well, let's take a look at some other options. (Luigi shows the customer several more pairs of shoes.)\n[00:58 - 01:06] Speaker B: I like these better. But I'm not sure if they're the right style for my running routine. I usually run on trails, so I need something with good traction.\n[01:06 - 01:13] Speaker A: Oh, I can measure your feet to ensure you're getting the perfect fit. That way, you'll know for sure if they're the right size.\n[01:14 - 01:16] Speaker B: That sounds good. Yes, I'll take these."
+  },
+  {
+    "key": "SODA_PROCESSED--train--90720",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--90720.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Mom. I need to talk to you about something.\n[00:03 - 00:05] Speaker B: What is it, Anniston? You seem upset.\n[00:06 - 00:18] Speaker A: I am. I got caught in a lie and I feel really embarrassed and ashamed because I know I shouldn't have lied in the first place, especially to people who care about me and trust me to be honest with them.\n[00:11 - 00:13] Speaker B: Oh no, what happened? What did you lie about?\n[00:19 - 00:34] Speaker A: Well, my friends were asking me about my weekend and I lied and said that I went shopping with Grandma when really I just stayed home by myself because I didn't want to go out with them. But then they found out and now everyone knows and I don't know how to face them again.\n[00:34 - 00:52] Speaker B: That must be really tough for you, Anniston. Lying is never a good solution, but sometimes we all do it out of fear or insecurity. The important thing is that you learn from this experience and try not to do it again in the  future. It might also help to be honest with your friends about why you lied in the first place and explain how you're feeling vulnerable right now.\n[00:53 - 01:00] Speaker A: I know, Mom, but it's just so hard right now because I feel like everyone is looking at me differently and judging me.\n[01:00 - 01:21] Speaker B: People make mistakes, Anniston. They're not perfect like you are (joking). Everyone makes them — even your friends and family members have probably lied before too (noticing her daughter's doubtful expression). The difference is that they're probably better at hiding it than you are (chuckling). Just try to remember that everyone messes up sometimes — even grownups — and that it doesn't define who you are as a person."
+  },
+  {
+    "key": "SODA_PROCESSED--train--301485",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--301485.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Hi, I'm Jaron and I'm thinking about starting my own business. Do you have any advice on how to get started?\n[00:07 - 00:20] Speaker B: Well, one of the first things you'll need is a business card. It's a great way to promote your business and get your name out to potential customers and partners by creating a professional first impression that reflects your brand identity and makes people remember you.\n[00:12 - 00:19] Speaker A: Sorry to jump in, but I'm not sure what kind of design I should go for or what information to put on it.\n[00:20 - 00:25] Speaker B: Well, it depends on what kind of business you're starting. Are you offering a service or selling a product?\n[00:25 - 00:27] Speaker A: I'm going to be selling handmade jewelry.\n[00:28 - 00:45] Speaker B: In that case, you'll want to include a photo of some of your work on your business card, along with your contact information and maybe a brief description of what you do. You can also include a discount or special offer for people who  make a purchase within a certain timeframe to encourage immediate action and help build your initial customer base.\n[00:45 - 00:54] Speaker A: Oh, I love the idea of including a discount! But what about the quality of the business card itself? Should I invest in something more premium?\n[00:54 - 01:11] Speaker B: Yes, investing in a high-quality card can make a good impression. Also, I wanted to mention earlier that getting your name out there involves more than just business cards; you might also want to consider  attending local craft fairs or markets to showcase your jewelry while networking with other artisans and potential customers in person.\n[01:11 - 01:16] Speaker A: Social media marketing, right? I've been thinking about that too."
+  },
+  {
+    "key": "SODA_PROCESSED--train--218746",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--218746.wav",
+    "model_output": "[00:00 - 00:10] Speaker A: Hey boss, just wanted to let you know that I delivered the last package of the day and made sure to get a signed confirmation from the recipient as per our standard procedure.\n[00:10 - 00:23] Speaker B: Jerome, thank you so much for your hard work today. You've really saved us with your attentiveness and great attention to detail, especially on such a busy day when we had twice the normal volume of deliveries to handle across multiple locations.\n[00:16 - 00:22] Speaker A: Sorry to jump in, but I just remembered—did we get any feedback from the client about the earlier delivery?\n[00:23 - 00:32] Speaker B: Not yet, but I'll follow up on that. As I was saying, your great driving really made a difference today. We're really lucky to have you on our team. Keep up the good work!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--674707",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--674707.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much, just hanging out at home. What about you?\n[00:04 - 00:11] Speaker A: I'm doing good. Just finished up some homework and now I'm relaxing. What have you been up to today?\n[00:11 - 00:22] Speaker B: I went to the gym and then ran some errands. I also had lunch with a friend. How was your day? Did you get everything done that you needed to and were you able to find time for yourself amidst all your responsibilities?\n[00:17 - 00:22] Speaker A: Sorry to jump in, but what did you have for lunch? I've been looking for new places to try.\n[00:23 - 00:29] Speaker B: Oh, we went to that new Italian place downtown. The pasta was amazing! Anyway, how was your day?\n[00:29 - 00:42] Speaker A: It was good. I went to my classes and then met up with a study group. After that, I went to the library to do some research for a paper. Then I came home and made dinner. What are you up to tonight?\n[00:42 - 00:45] Speaker B: Just relaxing at home, watching TV and stuff. You?\n[00:45 - 00:50] Speaker A: Same here. But I think I'm going to head to bed soon, it's been a long day.\n[00:50 - 00:54] Speaker B: Alright, well goodnight! Thanks for chatting with me tonight!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--214621",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--214621.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much, what's up with you?\n[00:03 - 00:18] Speaker A: Just trying to figure out what I'm going to do with my life. I want to make a difference, but I don't know where to start or how to make sure I'm on the right path. Maybe I should explore different career options that align with my values and passions first.\n[00:10 - 00:17] Speaker B: Sorry to jump in, but have you thought about volunteering? It could be a good way to start making a difference while figuring things out.\n[00:19 - 00:48] Speaker A: That's a good idea. I was going to say I don't know where to start, but volunteering could give me some direction. Well, you're already a good person who always tries his best. You just need to keep doing that and eventually you'll find your way. Things might be tough sometimes, but you can't give up. Remember, Annalyn wants to be a better person and help others whenever he  has the chance, even if it's in small ways like listening to someone who needs support or organizing community clean-up events.\n[00:49 - 00:54] Speaker B: I really appreciate you saying that, but do you think volunteering alone is enough to make a real impact?\n[00:54 - 01:07] Speaker A: Volunteering is just a start. It can open doors and help you connect with people who share your goals. Over time, you might find other ways to contribute, and as long as you keep that in mind, you'll be fine.\n[01:08 - 01:12] Speaker B: Yeah, I guess you're right. Thanks for the talk. I feel better now.\n[01:12 - 01:14] Speaker A: Anytime. That's what friends are for."
+  },
+  {
+    "key": "SODA_PROCESSED--train--316554",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--316554.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much. What's up with you?\n[00:04 - 00:22] Speaker A: I found this small, clear baggie of drugs in my room and I think it might be cocaine or meth. I'm scared and don't want to get in trouble, so I flushed the drugs down the toilet because I didn't know what else to do and I was worried about the legal consequences if someone found them in my possession.\n[00:15 - 00:22] Speaker B: Wait, you flushed it? Are you sure that was the best thing to do? What if it was something else entirely?\n[00:22 - 00:28] Speaker A: I know, I panicked. I'm not sure, but that's what it looked like from what I've seen on TV.\n[00:28 - 00:35] Speaker B: Well, either way, you did the right thing by getting rid of it. But now I'm curious—how do you think it got there in the first place?\n[00:36 - 00:41] Speaker A: That's the thing, I'm kind of worried that someone might have put them there to frame me or something.\n[00:42 - 00:46] Speaker B: Frame you? Why would someone want to do that? Do you think someone has a grudge against you?\n[00:46 - 00:49] Speaker A: I don't know. Maybe because I'm Hispanic?\n[00:49 - 01:00] Speaker B: That's a serious concern, but let's not jump to conclusions. Just be careful and be aware of your surroundings. If you see anything suspicious, let me know and we'll figure it out together, okay?\n[01:00 - 01:01] Speaker A: Okay, thanks."
+  },
+  {
+    "key": "SODA_PROCESSED--train--121129",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--121129.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: How dare you! I can't believe you would say something like that to me.\n[00:04 - 00:10] Speaker B: Usher, calm down. There's no need to raise your voice. We can discuss this without getting so heated.\n[00:10 - 00:19] Speaker A: No need? Oh, there's every need! You have no idea how hard I've worked or what I've been through. And you just come in here and judge me?\n[00:19 - 00:33] Speaker B: Usher, please understand, I'm just trying to help you. Your behavior lately has been causing problems and we're just trying to find a way to make things easier for everyone, including you, by creating a more supportive environment where we can all communicate openly and respectfully.\n[00:26 - 00:33] Speaker A: Problems? You think I'm the problem? Well, screw you and your help! I don't need it. Just leave me alone!\n[00:33 - 00:39] Speaker B: Usher, that's not going to solve anything. Let's talk about this calmly and try to figure out a solution together."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1029082",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1029082.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: Hey, Mak. I noticed your place was a little messy and I wanted to help you organize some things, maybe start with the living room and then we can tackle the kitchen if you'd like since I know that area tends to accumulate clutter quickly.\n[00:05 - 00:11] Speaker B: Oh, thanks so much, Kelechi. I've been so busy with work and school lately that I haven't had time to clean up.\n[00:14 - 00:19] Speaker A: No problem, I understand. It's tough when you're constantly on the go.\n[00:19 - 00:21] Speaker B: Yeah, I appreciate it.\n[00:21 - 00:24] Speaker A: So, what have you been up to lately? How's work?\n[00:25 - 00:37] Speaker B: Work is good. I'm just really busy and stressed out  because I'm juggling multiple projects at once, and it's hard to keep track of everything especially when my manager keeps adding new tasks without adjusting the deadlines for existing ones.\n[00:37 - 00:42] Speaker A: Is it something specific that's stressing you out? Maybe I can help with that too.\n[00:43 - 00:50] Speaker B: Honestly, it's just a lot of deadlines piling up, but I think I've got it under control. Thanks for helping me with the cleaning, though.\n[00:50 - 00:53] Speaker A: Anytime, Mak. Let me know if you need anything."
+  },
+  {
+    "key": "SODA_PROCESSED--train--81191",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--81191.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: Yeah, I don't know what to do or where to go. It feels like the whole world is against me, and I just can't seem to find any sense of direction right now despite trying various approaches to improve my situation and mental state.\n[00:05 - 00:14] Speaker B: Sorry to interrupt, but have you talked to anyone else about this? Like a close friend or a counselor? It might help to share your feelings with someone who can offer support.\n[00:14 - 00:19] Speaker A: I haven't really talked to anyone yet. I just feel like I can't trust anyone anymore.\n[00:20 - 00:35] Speaker B: That's understandable, considering what you've been through. But there are people out there who genuinely want to help you. You just have to reach out for them and let them\n[00:36 - 00:41] Speaker A: I get what you're saying, but it's really hard to take that step when you feel so broken inside."
+  },
+  {
+    "key": "SODA_PROCESSED--train--56287",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--56287.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: I'm sorry I'm late. I couldn't remember where you told me to meet you.\n[00:04 - 00:15] Speaker B: That's okay, I understand. It can be tough to find your way around here sometimes. But you made it eventually! So, how have you been finding the new job? I remember you mentioned starting it last time we spoke.\n[00:15 - 00:21] Speaker A: Actually, before I forget, where did you park your car? I had trouble finding a spot.\n[00:21 - 00:28] Speaker B: Oh, I parked in the garage around the corner. It's usually less crowded there. Anyway, I've been good. Just busy with work and stuff.\n[00:29 - 00:40] Speaker A: Yeah, I know how that is. So, what do you want to do today? I was thinking we could catch up over lunch and then maybe explore some of the new shops that just opened downtown last week.\n[00:33 - 00:38] Speaker B: Wait, before we decide, do you have any time constraints today? I need to be somewhere by 5 PM.\n[00:40 - 00:44] Speaker A: No, I'm free all day. What do you think we should do?\n[00:44 - 00:50] Speaker B: Well, there's a lot of things to do around here. We could go shopping, or see a movie, or go for a walk in the park...\n[00:51 - 00:54] Speaker A: A walk in the park sounds nice. Let's do that."
+  },
+  {
+    "key": "SODA_PROCESSED--train--833014",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--833014.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Hi, I couldn't help but notice how upset you seem. Is there anything I can do to help?\n[00:05 - 00:16] Speaker B: No, I don't think so. I'm just going through a really tough time right now, and it's been hard to keep everything together both at work and in my personal relationships while dealing with all these overwhelming emotions.\n[00:09 - 00:18] Speaker A: I'm really sorry to interrupt, but I just want to make sure—are you getting enough support from the people around you? Sometimes it helps to have someone to lean on.\n[00:19 - 00:25] Speaker B: I appreciate your concern. I do have some support, but it still feels like everything is just falling apart.\n[00:25 - 00:33] Speaker A: That sounds incredibly difficult. I can't even imagine how you're managing to get through it all. You're so strong.\n[00:33 - 00:38] Speaker B: Thank you, but honestly, it doesn't feel like strength. It's more like I'm just trying to hold on.\n[00:38 - 00:49] Speaker A: Well, if there's anything I can do to help, please don't hesitate to let me know. In the meantime, try to stay positive and remember that things will eventually get better."
+  },
+  {
+    "key": "SODA_PROCESSED--train--923496",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--923496.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hi.\n[00:01 - 00:02] Speaker B: Hi there. What can I do for you?\n[00:03 - 00:08] Speaker A: I'm just looking for a quiet place to read. Do you have any recommendations?\n[00:08 - 00:21] Speaker B: Well, the library is a great place for that. We have plenty of quiet places to read like the reading alcoves on the second floor which are usually very peaceful and equipped with comfortable seating arrangements designed specifically for long reading sessions.\n[00:13 - 00:18] Speaker A: Yeah, but I was hoping for something a little more...secluded. Somewhere where I won't be disturbed.\n[00:21 - 00:33] Speaker B: I see. Well, let me think about it and see if I can come up with something for you. In the meantime, why don't you try one of our study rooms? They're usually pretty isolated from the main areas, so you might find it quite suitable.\n[00:33 - 00:38] Speaker A: Are they soundproof? I really need a place where I won't hear any noise at all.\n[00:38 - 00:44] Speaker B: They're not completely soundproof, but they are very quiet and rarely used at this time of day. Would that work for you?\n[00:45 - 00:47] Speaker A: Alright, that sounds good. Thanks."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1130331",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1130331.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Why do you think people litter? It's so annoying.\n[00:03 - 00:11] Speaker B: I don't know. Maybe they're just lazy or they don't care about the environment and think someone else will clean up after them, which shows a complete lack of respect for public spaces.\n[00:05 - 00:16] Speaker A: Lazy? That's the worst excuse ever. If they're too lazy to pick up their trash, then they should just pay a fine or something. It's not fair to the rest of us who have to look at their messes.\n[00:17 - 00:20] Speaker B: I guess you're right. It is kind of inconsiderate.\n[00:20 - 00:34] Speaker A: It's not just inconsiderate, it's illegal. I've called the police on people before for throwing trash out of their car windows while driving through the neighborhood, especially when children are playing nearby and could get hurt by the debris.\n[00:32 - 00:36] Speaker B: Wait, you've actually called the police on someone for littering? What happened?\n[00:36 - 00:50] Speaker A: Yeah, I did. They were fined, and it made me feel like I was doing something to help keep the area clean. But more importantly, if more people knew it was against the law, maybe they would think twice before they threw their trash on the ground."
+  },
+  {
+    "key": "SODA_PROCESSED--train--640525",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--640525.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: I'm so glad you could make it out tonight! It's been way too long since we've caught up. How has work been treating you?\n[00:07 - 00:20] Speaker B: It's been busy, as always. I feel like I never have a chance to relax anymore. But enough about me, how have things been with you? Any news on the job front? I remember you were waiting to hear back about that promotion and I've been really curious to know how everything turned out for you.\n[00:15 - 00:25] Speaker A: Actually, I do have some news. I finally got that promotion I've been working so hard for! Starting next week, I'll be the new assistant manager at the store.\n[00:25 - 00:34] Speaker B: That's amazing! Congratulations! I knew you'd get it eventually. You deserve it after all the extra hours you've been putting in, especially with all the challenges you've faced this past year.\n[00:34 - 00:47] Speaker A: Thanks for saying that! And speaking of the extra hours, it feels like they finally paid off with this promotion. It's a big pay raise and comes with some nice perks, like a company car and an office with a view.\n[00:48 - 00:51] Speaker B: Oh, that sounds lovely. I'm sure you'll be very happy there."
+  },
+  {
+    "key": "SODA_PROCESSED--train--218634",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--218634.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: I was just reading about the current situation in Syria. What do you think is going to happen if the conflict continues at this pace, especially considering the humanitarian crisis and the potential for further regional destabilization?\n[00:05 - 00:10] Speaker B: Sorry to jump in, but do you think the international community is doing enough to address the crisis?\n[00:14 - 00:31] Speaker A: I'm not sure. It's hard to say. I know that there are a lot of people who are suffering and I hope that something can be done to help them. But regarding the international community, I feel like we should be doing more. It's just so sad to see all the violence and destruction.\n[00:31 - 00:40] Speaker B: I know. Sometimes it feels like the world is falling apart. But we have to keep hope alive, right? Otherwise, what's the point of all our efforts if we lose hope?\n[00:40 - 00:48] Speaker A: Absolutely, but what I was going to say is, do you think putting more pressure on the Syrian government could actually make a difference?\n[00:48 - 00:57] Speaker B: I think it could, but only if it's coupled with significant aid to the people who are suffering. We can't just focus on the government; we have to help the civilians too.\n[00:57 - 01:01] Speaker A: I agree. I think those are both very important things.\n[01:01 - 01:08] Speaker B: Yeah. I just wish we could do more. It feels like we're just sitting around watching this tragedy unfold and not doing enough to help.\n[01:09 - 01:14] Speaker A: I know how you feel. But sometimes all we can do is hope and pray for the best."
+  },
+  {
+    "key": "SODA_PROCESSED--train--748077",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--748077.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Congratulations, Elysia. You've really earned this promotion.\n[00:04 - 00:18] Speaker B: Thank you so much, boss. I'm really excited about it. It's been a long time coming and I feel like I've worked hard to demonstrate my capabilities and contribute to the team's success by implementing new strategies and mentoring junior team members to help everyone grow together.\n[00:10 - 00:17] Speaker A: Sorry to jump in, but I just wanted to ask—how do you feel about the added responsibilities that come with this new role?\n[00:19 - 00:29] Speaker B: I'm definitely ready for the challenge. I know it will be a lot more work, but I'm confident I can manage it. And I was going to say, I feel like I've worked hard to get to this point, so I'm ready to prove myself.\n[00:30 - 00:38] Speaker A: You have indeed. We think very highly of you here at the company and we know that you'll do great things in your new role as senior editor.\n[00:39 - 00:41] Speaker B: Thank you, boss. I really appreciate your confidence in me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--231222",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--231222.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Demetrious, can you please be quiet during the movie?\n[00:03 - 00:06] Speaker B: But I'm just trying to make sure you're following what's going on.\n[00:07 - 00:18] Speaker A: Well, I would appreciate it if you would let me watch in peace and enjoy the experience without interruptions, as I find it much more immersive when I can fully concentrate on the storyline and cinematography.\n[00:10 - 00:13] Speaker B: Sorry to interrupt, but if you miss a key part, won't you be confused later?\n[00:18 - 00:28] Speaker A: I understand, but I really want to focus on the movie. Fine, but I'm still going to talk afterwards about what happened and discuss any parts I didn't understand.\n[00:29 - 00:32] Speaker B: I just thought of something—what if we discuss it during the credits instead?\n[00:33 - 00:36] Speaker A: That's fine, but can we just enjoy the movie now?\n[00:36 - 00:37] Speaker B: Whatever."
+  },
+  {
+    "key": "SODA_PROCESSED--train--370577",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--370577.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, Karina. I'm Ailany.\n[00:02 - 00:04] Speaker B: Hi, Ailany. Nice to meet you.\n[00:04 - 00:09] Speaker A: I'm a big fan of your work. I was wondering if I could talk to you about it sometime.\n[00:10 - 00:20] Speaker B: Sure, that would be great. Let's go into the museum and we can discuss it in a more relaxed environment where we can really dive deep into the artistic techniques and themes that interest you the most.\n[00:13 - 00:17] Speaker A: Sorry to interrupt, but is everything okay? You seem a bit off.\n[00:20 - 00:23] Speaker B: Yeah, sorry. I just got a little dizzy for a second there.\n[00:24 - 00:30] Speaker A: Karina...I wanted to tell you that I'm gay. And I've been attracted to you since the moment I saw you.\n[00:30 - 00:43] Speaker B: Thank you for telling me, Ailany. I appreciate your honesty. I'm glad we can be friends despite  the circumstances and the feelings you've shared, as I truly value our connection and the meaningful conversations we've had about art and life.\n[00:43 - 00:46] Speaker A: Friends? Is that all you want from me?\n[00:46 - 00:53] Speaker B: Ailany...I like you too but we can't act on our feelings because it would be inappropriate given my position as your teacher."
+  },
+  {
+    "key": "SODA_PROCESSED--train--453454",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--453454.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: So, what brings you to the city?\n[00:02 - 00:05] Speaker B: Oh, just visiting for a few days. I'm from out of town.\n[00:06 - 00:15] Speaker A: Oh, where are you from? I've always been curious about different parts of the country and how they compare to life here in the city with all its hustle and bustle.\n[00:09 - 00:11] Speaker B: What's your favorite thing about the city?\n[00:16 - 00:24] Speaker A: There's just so much to do and see! Every day is something new. I never get bored exploring different neighborhoods and trying out new restaurants.\n[00:25 - 00:29] Speaker B: Sorry to jump in, but do you have any recommendations for must-see places?\n[00:30 - 00:34] Speaker A: Sure, I have a few great spots in mind. By the way, where are you staying?\n[00:35 - 00:38] Speaker B: Oh, I'm staying at a hotel downtown. It's really nice!\n[00:38 - 00:42] Speaker A: That sounds great! Have you gotten to do any sightseeing yet?\n[00:43 - 00:47] Speaker B: Not much yet. I was hoping you could share those recommendations you mentioned earlier."
+  },
+  {
+    "key": "SODA_PROCESSED--train--596068",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--596068.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much. How are you doing in school?\n[00:03 - 00:16] Speaker A: I'm struggling. I don't understand my assignments and I get poor grades, which is really frustrating because I put in so much effort but still can't seem to grasp the concepts no matter how many hours I study.\n[00:08 - 00:11] Speaker B: Wait, are you getting enough support from your teachers?\n[00:17 - 00:25] Speaker A: Well, I try to ask questions, but it feels like everyone is judging me because I'm not getting it, and my grades are really suffering.\n[00:26 - 00:29] Speaker B: That sounds very challenging. Have you been speaking to your teacher about this?\n[00:30 - 00:38] Speaker A: Yeah, but it doesn't really help. They just tell me to try harder or study more, but I don't know how when everything is still so confusing.\n[00:39 - 00:44] Speaker B: Let's see if we can figure out a plan together. Do you have a specific subject that is causing you the most trouble?\n[00:45 - 00:48] Speaker A: Yeah, math is really hard for me right now.\n[00:48 - 00:54] Speaker B: Okay, let's start with that then. Do you have any ideas of how we can make math easier for you?\n[00:54 - 01:06] Speaker A: I don't know. It's just so hard. I've been trying to get a tutor, but  they aren't available as often as I need and even when we do meet, the explanations still don't click for me the way I hoped they would.\n[01:06 - 01:11] Speaker B: Have you considered changing your study environment? Sometimes a different setting can help.\n[01:11 - 01:17] Speaker A: I haven't thought about that. Maybe that could help, but I was going to say the tutor hasn't really helped either.\n[01:17 - 01:25] Speaker B: Got it. Well, let's try something else then. What if we set up a meeting with your math teacher and go over things together? Would that be okay with you?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--245101",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--245101.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Wow, I had no idea this ring was so valuable!\n[00:03 - 00:12] Speaker B: Yes, it's made of gold and has a diamond on the band, which is why it's so special. The diamond is actually a rare pink diamond that was mined in South Africa over a century ago.\n[00:06 - 00:12] Speaker A: Wait, a diamond? I thought it was just a simple gold ring. Why did you never tell me how much it was worth?\n[00:13 - 00:26] Speaker B: I didn't want you to feel pressured to take care of it. It's been in our family for generations and I wanted you to  have the freedom to enjoy it without worrying too much about its value. The sentimental worth is far more important than any monetary value it might hold.\n[00:27 - 00:31] Speaker A: I understand, but now I feel like I need to be extra careful with it!\n[00:31 - 00:33] Speaker B: Don't worry, just enjoy wearing it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--876642",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--876642.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hey dad.\n[00:01 - 00:02] Speaker B: Hey buddy, what's up?\n[00:03 - 00:04] Speaker A: I got some bad news today.\n[00:05 - 00:05] Speaker B: What happened?\n[00:06 - 00:08] Speaker A: I was dropped from the school's list.\n[00:08 - 00:15] Speaker B: Oh, I'm sorry to hear that. What does that mean for your future plans and how are you feeling about this unexpected turn of events?\n[00:11 - 00:15] Speaker A: It means I'm not good enough and I'll never be able to attend the school.\n[00:15 - 00:24] Speaker B: That's not true. Just because you were dropped from the list doesn't mean you're not good enough. It could just mean that they had too many people apply and they had to make some cuts.\n[00:24 - 00:27] Speaker A: But I was so close. I was number seven on the list.\n[00:28 - 00:36] Speaker B: Ivonne, there are a lot of talented people in the world and sometimes it's just a matter of being in the right place at the right time. You still have so much potential.\n[00:36 - 00:38] Speaker A: But I really wanted this one.\n[00:38 - 00:45] Speaker B: I know you did, buddy. And I'm sorry that it didn't work out but like I said, there will be other chances for you to pursue your dreams."
+  },
+  {
+    "key": "SODA_PROCESSED--train--906269",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--906269.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: Hi, financial advisor. I'm planning to retire in five years and I was wondering what you thought about my plans.\n[00:08 - 00:12] Speaker B: That's a great idea! Have you saved up enough money to cover your living expenses?\n[00:12 - 00:31] Speaker A: Yes, I have. I'm looking forward to spending more time with my family and friends. And I'm also considering starting a small business after I retire to keep myself busy and pursue some of my passions, potentially turning my hobbies into a source of income while maintaining a flexible schedule.\n[00:21 - 00:27] Speaker B: Sorry to interrupt, but have you considered the potential risks involved in starting a business after retirement?\n[00:31 - 00:51] Speaker A: That's a good point. I understand there are risks, but I believe it will keep me active and engaged. I'm not sure yet what kind of business I want to start. But I'm thinking something that would help other people retired like me stay active and connected with their communities through various social activities and skill-sharing opportunities.\n[00:51 - 00:58] Speaker B: Oh, I love that idea! Have you thought about partnering with local community centers or organizations to get your business off the ground?\n[00:58 - 01:09] Speaker A: That's an interesting thought. I hadn't considered that yet. There are many programs available to help people start their own businesses. I can give you some information about them if you'd like.\n[01:10 - 01:11] Speaker B: That would be great, thank you!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--903704",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--903704.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Coach, I'm getting better and better at running. I can now run a mile in under six minutes.\n[00:06 - 00:15] Speaker B: That's great, John! You're really pushing yourself hard, and it's paying off with noticeable improvements in both your endurance and technique that I've been observing during our training sessions.\n[00:08 - 00:15] Speaker A: Actually, Coach, do you think I should start focusing on increasing my distance now that my speed is improving?\n[00:15 - 00:24] Speaker B: Absolutely, increasing your distance is a good idea, but remember to do it gradually. However, you mentioned your speed, and I was going to say that you're really progressing well.\n[00:25 - 00:33] Speaker A: Yeah, I feel excited because I'm seeing improvement. Every time I go out and practice, I can feel myself getting faster and stronger.\n[00:33 - 00:40] Speaker B: That's the key to success in any endeavor--seeing progress and being excited by it. You're on the right track, John. Keep up the good work!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--465565",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--465565.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Jaire. I noticed you've been having some trouble with your fungus lately.\n[00:04 - 00:11] Speaker B: Yeah, it's been awful. I can't get rid of it no matter what I try. I've used almost every product available, but nothing seems to work.\n[00:12 - 00:24] Speaker A: Oh, I might be able to help with that. I'm pretty strong, so I can spray your fungus with fungicide without any problem and I'll make sure to cover all the affected areas thoroughly to prevent any recurrence.\n[00:18 - 00:22] Speaker B: Really? That would be amazing! Thank you so much, Levi.\n[00:25 - 00:30] Speaker A: No problem at all. Let me just get my stuff and we'll take care of it as soon as possible.\n[00:30 - 00:37] Speaker B: Wait, before you go, do you know if this fungicide is safe for pets? I have a cat that loves to roam around the garden.\n[00:37 - 00:43] Speaker A: Good point. I'll check the label to make sure it's pet-friendly. Once we confirm that, we'll get started.\n[00:43 - 00:47] Speaker B: Okay, great! Just point me in the right direction and I'll take care of the rest."
+  },
+  {
+    "key": "SODA_PROCESSED--train--708040",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--708040.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: Sarah, I'm so excited for my date with Jeremy tonight! I feel like everything is going to go smoothly, but I can't help feeling a little nervous about it. I've been thinking about this moment for weeks and really want to make a great impression.\n[00:06 - 00:12] Speaker B: Oh, Takia, I just remembered—did you pick out what you're going to wear? I know that can make such a difference in how you feel.\n[00:13 - 00:20] Speaker A: Yes, I did! I chose that cute dress you helped me pick out last week. I hope everything goes perfectly tonight.\n[00:20 - 00:26] Speaker B: I hope so, Takia! You deserve it after waiting so long for him to ask you out. Just be yourself and have fun.\n[00:27 - 00:45] Speaker A: I will, Sarah. I think the biggest thing for me is just not to get too nervous. Jeremy is really great and I don't want to mess things up by being a bundle of nerves. But at the same time, I don't want to come across as uninterested either. It's such a fine line between showing interest and overthinking everything.\n[00:45 - 00:54] Speaker B: Oh, I totally get that! But you know what? If you start feeling nervous, maybe just focus on asking him questions about himself. It could take some of the pressure off you.\n[00:54 - 01:06] Speaker A: That's a good idea! I hadn't thought of that. I think you're right—I just need to relax and go with the  flow and enjoy getting to know him better without putting too much pressure on myself or the situation.\n[01:07 - 01:09] Speaker B: Anytime, girl! Good luck tonight."
+  },
+  {
+    "key": "SODA_PROCESSED--train--610118",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--610118.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, man. I've been eating a lot of carrots lately and I've gained five pounds.\n[00:04 - 00:16] Speaker B: That's insane! Why have you been eating so many carrots? I mean, there are other healthy foods you can incorporate into your diet too, like leafy greens or bell peppers which provide different nutrients without the excess calories.\n[00:07 - 00:11] Speaker A: Well, I read that they're really good for you and they help improve your vision.\n[00:16 - 00:22] Speaker B: Yeah, but eating that many carrots is going to make you gain weight. You shouldn't be eating more than two or three carrots a day.\n[00:23 - 00:36] Speaker A: I don't know. I'm just following what the internet says. Carrots are good for you and they're low in calories so I don't see how they could make me gain weight, but maybe you're right. I should probably look into this more.\n[00:37 - 00:49] Speaker B: Raven, the internet is not always right. You should trust your own judgment on this one. Too many carrots are going to make you gain weight whether the internet says so or not. Just be careful and try to limit yourself to a few carrots a day."
+  },
+  {
+    "key": "SODA_PROCESSED--train--140026",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--140026.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: Raeanna, I can't believe we're finally here! This day has been so long, but it's finally our last night of the conference, and I'm so excited to relax and enjoy the evening with you after all these intense days of networking and workshops.\n[00:07 - 00:12] Speaker B: I know! Before we get too into the night, did you remember to pack everything? I almost forgot my charger this morning.\n[00:14 - 00:24] Speaker A: Oh, good point! I double-checked my stuff, so I think I'm good. But yes, this conference has felt like forever. Still, it's been a good conference, haven't you thought?\n[00:25 - 00:32] Speaker B: Absolutely. I've loved getting to meet new people and learn new things. But I'm definitely ready to go home tomorrow. How about you?\n[00:32 - 00:43] Speaker A: Yeah, I'm ready to go home too. But first, let's enjoy our last night here! What do you want to do? Maybe we can check out that live music they mentioned earlier.\n[00:43 - 00:50] Speaker B: Actually, before we decide, do you think we should grab a quick bite first? I heard the food at the party might be just snacks.\n[00:50 - 00:58] Speaker A: That's a good idea! Let's grab something to eat first, then we can check out that party in the lobby. How does that sound?\n[00:58 - 00:59] Speaker B: Perfect! Let's go!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--58199",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--58199.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I know what I want to do with my life.\n[00:02 - 00:03] Speaker B: What is that, sweetie?\n[00:04 - 00:05] Speaker A: I want to be a doctor.\n[00:06 - 00:07] Speaker B: Why do you want to be a doctor?\n[00:07 - 00:29] Speaker A: Because I want to help people. There are so many people in the world who are sick and need help, and I want to be able to help them. I know it won't be easy, but I'm willing to work hard to make a real difference in people's lives by dedicating myself to medical research and patient care, even if it means working long hours and facing difficult situations every day.\n[00:19 - 00:25] Speaker B: I just want to say, that's such a noble reason. But have you thought about the challenges, like the long hours and emotional toll?\n[00:29 - 00:38] Speaker A: Yes, I have. I know it won't be easy, but I'm determined to make a difference. I was about to say that I'm willing to work hard to achieve that.\n[00:38 - 00:42] Speaker B: That's very admirable, Tramaine. I'm sure you'll make an excellent doctor."
+  },
+  {
+    "key": "SODA_PROCESSED--train--583537",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--583537.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: What the hell are you doing back in town? I thought I told you to stay away after everything that happened last time and how much damage you caused to everyone involved, including yourself.\n[00:04 - 00:06] Speaker B: I came back to see my family. What's it to you?\n[00:11 - 00:16] Speaker A: You're not welcome here, Kaylynn. You need to leave before you cause any more trouble.\n[00:16 - 00:34] Speaker B: I'm not causing any trouble. I just want to see my family. Why are you so against that? Is it because of what happened between us? Because I'm sorry about that, Jaylinn. I was young and stupid and I didn't know what I was  doing, and I never meant to hurt you or anyone else, but I've grown since then and I just want a chance to make things right.\n[00:35 - 00:43] Speaker A: Kaylynn, this isn't just about what happened between us. It's about the chaos you bring every time you're here. Your family has been through enough.\n[00:44 - 00:58] Speaker B: That's not what I wanted to hear, Jaylinn. But I guess it was to be expected from you. You were always more interested in your own life than anyone else's. Well, I'm not going to give up on my family, no matter how much you want me to. I'm going to find a way back into their lives, whether you like it or not.\n[00:59 - 01:06] Speaker A: You're wasting your time, Kaylynn. They don't want anything to do with you. Just give up and leave town before you cause any more pain."
+  },
+  {
+    "key": "SODA_PROCESSED--train--73764",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--73764.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: Wow, I can't believe I found a four-leaf clover! This is so rare and special that I feel like I should make a wish or something, maybe even frame it as a keepsake to preserve this incredible moment of good fortune.\n[00:04 - 00:06] Speaker B: Why do you say that? Is there a special reason?\n[00:12 - 00:23] Speaker A: Well, they're supposed to be really rare, so finding one is like winning the lottery or something. Plus, they're supposed to bring good luck. So I'm feeling pretty lucky right now.\n[00:23 - 00:33] Speaker B: That's interesting. I've never thought of it that  way before, but I can see why it would be exciting to discover something so uncommon that's been considered a symbol of fortune across different cultures for centuries.\n[00:34 - 00:36] Speaker A: Really? What do you think of it?\n[00:36 - 00:42] Speaker B: I guess I never really thought about it at all. I just figured that since I'm a clover, people must think that I'm lucky.\n[00:42 - 00:51] Speaker A: That makes sense. But now that you mention it, there are a lot of other things that people believe are lucky too, like rabbits' feet and horseshoes.\n[00:52 - 00:56] Speaker B: Yes, I've heard of those things too. People seem to think that anything with four leaves is lucky.\n[00:57 - 01:01] Speaker A: Yeah, maybe because four is considered a lucky number in some cultures.\n[01:02 - 01:05] Speaker B: That's true. But whatever the reason, I'm glad you think I'm lucky!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--846507",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--846507.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: I'm really proud of myself lately. I've been working hard in school and getting good grades across all my subjects, which has really boosted my confidence and made all those late-night study sessions feel worthwhile.\n[00:05 - 00:12] Speaker B: That's terrific, Evelin! Speaking of school, have you thought about how you're going to maintain this momentum, especially with finals coming up?\n[00:12 - 00:31] Speaker A: Yes, I've been planning ahead for that. I think it's just been a matter of focusing on what's important to me and setting my sights high. I'm not going to settle for anything less than what I\n[00:32 - 00:39] Speaker B: Absolutely, you shouldn't settle! But have you also considered rewarding yourself for the progress you've made so far? It might help keep you motivated.\n[00:40 - 00:49] Speaker A: That's a good point. I was actually thinking of treating myself after finals. But yeah, staying focused has definitely been key to my success."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1124666",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1124666.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey Tony, I found out that I can become an angel.\n[00:03 - 00:04] Speaker B: Really? How?\n[00:04 - 00:19] Speaker A: Well, I was doing some research and I found out that if you pray to God and ask to be an angel, He will make it possible if it's within His will and you demonstrate true devotion through your actions and maintain pure intentions throughout your spiritual journey.\n[00:11 - 00:17] Speaker B: Wait, are you sure about this? I mean, has anyone actually succeeded in doing that before?\n[00:19 - 00:22] Speaker A: I don't know. But it's worth a try, right?\n[00:23 - 00:26] Speaker B: I guess so. When are you going to start praying and asking for this?\n[00:27 - 00:41] Speaker A: Actually, I was thinking tonight. Do you think I should do anything special to prepare like  creating a sacred space for prayer or perhaps fasting beforehand to show my complete dedication to this divine transformation?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--31287",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--31287.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, owner! What's up?\n[00:02 - 00:04] Speaker B: Not much, Mandy. Just relaxing.\n[00:04 - 00:09] Speaker A: Yeah, I could use some relaxation too. It's been a long day.\n[00:09 - 00:11] Speaker B: Tell me about it. What did you do today?\n[00:11 - 00:40] Speaker A: Well, I started off by waking up bright and early as usual. Then I went for a run with my buddy Barkley. After that, I came home and had breakfast. Then I went out to the backyard and played fetch with you for a while. After that, I took a nap in the sun. Then I woke up and came inside to get a drink of water. And now I was thinking about taking another nap, but then I decided to hang out with you instead because you always know how to cheer me up when I'm feeling tired.\n[00:31 - 00:37] Speaker B: Wait, did you just say you went for a run with Barkley? How was that? Did you two have a good time?\n[00:41 - 01:00] Speaker A: Oh yes, we had a blast! Barkley always tries to race me, and I think he's getting faster. But as I was saying, after that, I took a nap in the sun, which was really nice and  I was almost tempted to stay out there all day because the warmth felt so comforting on my fur and the gentle breeze was just perfect for relaxing.\n[01:01 - 01:06] Speaker B: You know, I was just thinking, maybe we should take Barkley with us the next time we go for a hike. What do you think?\n[01:07 - 01:14] Speaker A: That sounds like a great idea! He would love that. And I think it would be a fun way for all of us to spend some time together."
+  },
+  {
+    "key": "SODA_PROCESSED--train--159547",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--159547.wav",
+    "model_output": "[00:00 - 00:15] Speaker A: I went to the mall today and saw a sign for a huge sale, so I went inside to check it out. But I didn't find anything I wanted to buy, even though I was hoping to find some good deals on winter coats and accessories that would complement my existing wardrobe.\n[00:08 - 00:13] Speaker B: What kind of sale was it? Was it for clothes, electronics, or something else?\n[00:15 - 00:19] Speaker A: It was mostly for clothes, but nothing really caught my eye.\n[00:19 - 00:33] Speaker B: Maybe you should have had an idea of what you were looking for before you went to the store. That way, you would have known whether or not the sale had what you were  interested in, and it might have saved you some time that could have been better spent browsing other stores or enjoying other activities at the mall.\n[00:34 - 00:42] Speaker A: I see what you mean. I guess I was just hoping to find something by chance. Next time I'll definitely plan better. Thanks for the advice!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1092169",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1092169.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: I can't take this anymore. I feel like a puppet, always having to do what you say. I'm suffocated by the oppression I face at work.\n[00:08 - 00:23] Speaker B: Christos, I understand how you feel. But you need to understand that I'm only trying to help you be successful. If you don't want to do what I say, then maybe this isn't the right environment for you to thrive in, especially considering your need for creative freedom and personal growth opportunities.\n[00:18 - 00:28] Speaker A: It's not that I don't want to do what you say, it's that I feel like I have no choice. I need this job to survive, but it feels like every day is a battle just to get through it.\n[00:29 - 00:37] Speaker B: Christos, I'm sorry that you feel that way. But if it's really that bad, maybe you should look for another opportunity that aligns better with your values and needs.\n[00:38 - 00:45] Speaker A: I can't just leave, I have bills to pay. This is the only job I can find that pays enough to cover my expenses.\n[00:46 - 00:56] Speaker B: I get that, but have you considered talking to HR about your concerns? Maybe they can offer some support or even suggest other roles within the company that might be a better fit for you.\n[00:57 - 01:05] Speaker A: I haven't thought about that. Maybe I should give it a try. But I still feel like the core issue is the lack of autonomy in my current role."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1180469",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1180469.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Karyn. What's up?\n[00:01 - 00:10] Speaker B: Nothing much. Just trying to stay out of your way because I don't want to deal with any more drama today and honestly, I'm just exhausted from all the tension between us lately.\n[00:03 - 00:08] Speaker A: Wait, Karyn, what do you mean by that? Are you saying I've been making you feel uncomfortable?\n[00:11 - 00:16] Speaker B: Yeah, well, it wasn't funny. And I'm sick of you putting me down all the time. I'm done with it.\n[00:17 - 00:29] Speaker A: Oh, really? You're done with it? Well, that's too bad, because I'm not  ready to just let this go without a real conversation about why you suddenly think you can walk away from our friendship like this.\n[00:29 - 00:34] Speaker B: Not done with me yet? Well, guess what, I'm not scared of you anymore. So bring it on, bully.\n[00:35 - 00:39] Speaker A: Oh, I'll bring it on, all right. You're going to regret ever standing up to me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1132437",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1132437.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: How did you find this dog? He's so cute!\n[00:03 - 00:14] Speaker B: I saw him on the side of the road. He looked hungry and alone, so I picked him up and brought him home where I gave him some food and water immediately. He seemed really scared, but he calmed down after a while when he realized he was safe with me.\n[00:07 - 00:15] Speaker A: Are you sure that's safe? I mean, he could have been lost or belonged to someone nearby. Did you check if he had any tags?\n[00:15 - 00:23] Speaker B: He didn't have any tags, and I looked around for a bit to see if anyone was searching for him, but no one was around. I'm going to keep him. He's a good dog.\n[00:24 - 00:27] Speaker A: You can't just keep him! We can't afford another pet.\n[00:27 - 00:40] Speaker B: I'll take care of him. I'll pay for his food and any vet bills that come up, including vaccinations and regular check-ups. I know it's a big responsibility, but I'm ready for it and have been saving up specifically for situations like this.\n[00:38 - 00:46] Speaker A: It's not just about the money, Walter. We already have two dogs, and it's a lot of work. Adding a third one might be too much for us to handle.\n[00:46 - 00:50] Speaker B: Please, Wilmer. Just let me keep him. I promise I'll take care of him.\n[00:50 - 00:55] Speaker A: Fine. But you're responsible for everything related to this dog, got it?\n[00:55 - 00:57] Speaker B: I got it. Thanks, Wilmer."
+  },
+  {
+    "key": "SODA_PROCESSED--train--189460",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--189460.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hi, I'm looking for something new to try. What do you have?\n[00:04 - 00:12] Speaker B: We have a lot of different fruits and vegetables. What are you looking for specifically? Are you in the mood for something sweet, tangy, or maybe something with a unique texture?\n[00:12 - 00:17] Speaker A: Honestly, I don't really know. Something that I've never tried before.\n[00:17 - 00:22] Speaker B: Well, we have a lot of exotic fruits from different parts of the world. What do you think about trying one of those?\n[00:23 - 00:26] Speaker A: That sounds great! I'll try one of those.\n[00:26 - 00:38] Speaker B: Great! We have a few different ones to choose from. Which one would you like to start with? Maybe something that's a bit more familiar like mango or pineapple, or something completely out of the ordinary like durian or jackfruit?\n[00:30 - 00:34] Speaker A: Sorry, I have no idea...which one do you recommend?\n[00:38 - 00:46] Speaker B: Well, our most popular exotic fruit is the dragon fruit. It's native to Central America and it's very sweet and delicious. Would you like to try that one?\n[00:47 - 00:48] Speaker A: Yes, I'll try the dragon fruit.\n[00:49 - 00:51] Speaker B: Great! I'll get you one.\n[00:51 - 00:52] Speaker A: Thank you!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1169363",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1169363.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Triton, I had no idea. I'm so sorry that happened to you.\n[00:04 - 00:13] Speaker B: It's not your fault. There's nothing you could have done to change what happened, especially considering how sudden and unexpected the whole situation was at the time.\n[00:07 - 00:10] Speaker A: I know, but I wish I could have been there for you.\n[00:13 - 00:15] Speaker B: It's in the past now. I've moved on.\n[00:16 - 00:24] Speaker A: But Triton, it must have been so hard for you to keep it all inside. Why didn't you tell me sooner? I could have helped you through it.\n[00:24 - 00:34] Speaker B: I just didn't want to relive it, you know? Talking about it only makes me remember how helpless I felt back then. I was a child, and there was nothing I could do to stop it from happening.\n[00:34 - 00:41] Speaker A: You're not helpless now, Triton. You're strong, and you can talk to me about anything. I'm here for you, no matter what."
+  },
+  {
+    "key": "SODA_PROCESSED--train--713730",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--713730.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Sarah, I need to tell you something.\n[00:02 - 00:05] Speaker B: What is it? You can tell me anything, you know that.\n[00:05 - 00:16] Speaker A: It's just, this thing I'm going through, I don't think anyone could really understand what it's like because it's such a personal and complex experience that affects every aspect of my life.\n[00:09 - 00:13] Speaker B: Understand? I know it might feel that way, but I'm here to listen, really.\n[00:17 - 00:24] Speaker A: Okay, but you have to swear not to tell anyone else about this. It's really important to me that no one finds out.\n[00:24 - 00:27] Speaker B: Of course, I promise. Now what is it?\n[00:27 - 00:28] Speaker A: I think I'm gay.\n[00:29 - 00:37] Speaker B: What makes you say  that? Have you been feeling this way for a long time or is this something that's developed more recently through specific experiences and self-reflection?\n[00:38 - 00:45] Speaker A: I don't know, it's just a feeling I have. And lately, I've been thinking about guys a lot more than girls.\n[00:45 - 00:47] Speaker B: Have you talked to anyone else about this?\n[00:47 - 01:03] Speaker A: No, like I said, I don't think anyone would understand. Besides, it's not like there's anyone I can talk to about it  without feeling judged or misunderstood, especially in our conservative community where these topics are still considered taboo by many people.\n[01:04 - 01:07] Speaker B: But you can talk to me about it. I'm here for you, no matter what."
+  },
+  {
+    "key": "SODA_PROCESSED--train--811940",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--811940.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Sarah, I just love singing! It's one of my favorite things to do.\n[00:04 - 00:08] Speaker B: I can tell! You have an amazing voice. It fills up any room with joy.\n[00:09 - 00:27] Speaker A: Thanks, Sarah! I love singing songs from my favorite artist and bands, and sometimes making up my own lyrics to familiar tunes. My friends and family love when I serenade them during family gatherings and special occasions, especially when I perform classic ballads or upbeat pop songs that get everyone dancing and singing along.\n[00:20 - 00:25] Speaker B: Sorry to interrupt, Georgina, but I just got curious—do you ever perform at any local events or open mic nights?\n[00:28 - 00:39] Speaker A: I haven't done any local events yet, but it's something I would love to try. I was about to say that my friends and family love when I serenade them! Do you have any favorite songs to sing?\n[00:40 - 00:49] Speaker B: Oh, there are too many to name! But I really enjoy singing \"Don't Stop Believin'\" by Journey, \"I Will Always Love You\" by Whitney Houston, and \"Bohemian Rhapsody\" by Queen.\n[00:50 - 00:58] Speaker A: Those are all great songs! I'm sure your friends and family love hearing you sing them. Thanks for sharing your love of singing with me, Georgina!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--164800",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--164800.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: I was just thinking about all the dead people I've seen in my life. It's so sad that they're gone and I'll never see them smile or hear their voices again, especially during those special moments we shared that made life so meaningful and full of joy.\n[00:06 - 00:16] Speaker B: I know, it's incredibly tough. But you know, we have to remember that they're in a better place now. They're not suffering anymore and they're at peace. That's really what we should try to focus on.\n[00:16 - 00:27] Speaker A: I know you're right, but it's still hard to accept that they're gone forever. I wish I could see them one last time. Just to say goodbye properly and tell them how much they meant to me.\n[00:28 - 00:34] Speaker B: Maybe one day you will. Who knows what the future holds? For now, let's be thankful for the time we had with them and cherish our memories.\n[00:35 - 00:36] Speaker A: You're right. Thanks, Dad.\n[00:37 - 00:38] Speaker B: Anytime, sweetie."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1013581",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1013581.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I can't believe you're in so much trouble! What are you going to do?\n[00:04 - 00:07] Speaker B: I don't know. I guess I'll have to find a way out of it.\n[00:07 - 00:09] Speaker A: But how? You're totally stuck!\n[00:10 - 00:21] Speaker B: Well, I could try reasoning with them. Or maybe there's some other way out that I haven't considered yet, like seeking legal advice or finding someone who can mediate the situation between us to reach a fair compromise.\n[00:15 - 00:21] Speaker A: Wait, reasoning with them? Do you really think they'll listen? They seem pretty set on their decision.\n[00:21 - 00:31] Speaker B: Honestly, I don't know. But what else can I do? It's not like I can just give up and let them walk all over me. I need to stand up for myself, even if it's difficult.\n[00:31 - 00:38] Speaker A: Right, but isn't there someone else you could talk to? Maybe someone who has more influence over them?\n[00:38 - 00:42] Speaker B: That's a good point. I hadn't thought about that. It might be worth a shot."
+  },
+  {
+    "key": "SODA_PROCESSED--train--303336",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--303336.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:02] Speaker B: Just working out. You?\n[00:03 - 00:08] Speaker A: Yeah, I'm on the treadmill. I run for thirty minutes every day.\n[00:08 - 00:11] Speaker B: That's great! I wish I could be as disciplined as you are.\n[00:12 - 00:24] Speaker A: It's not that hard, once you get into the habit. Plus, it makes me feel really good and helps me stay focused throughout the day while also improving my sleep quality and reducing stress levels significantly.\n[00:17 - 00:21] Speaker B: Wait, do you follow a specific routine or just run for those thirty minutes?\n[00:25 - 00:33] Speaker A: I mostly just run, but sometimes I add in some intervals. Anyway, it makes me feel really good afterwards.\n[00:33 - 00:37] Speaker B: I can imagine. I always feel so sluggish after a workout.\n[00:37 - 00:47] Speaker A: Yeah, but it's worth it in the end. You get a rush of endorphins and it helps to clear your head. Plus, you know, it's good for your cardiovascular health and overall well-being.\n[00:48 - 00:53] Speaker B: Actually, I heard that running can sometimes be tough on your knees. Do you ever feel any discomfort?\n[00:53 - 01:00] Speaker A: Not really, I make sure to wear good shoes and stretch properly. But yeah, it's good for your health overall.\n[01:00 - 01:05] Speaker B: Absolutely. I should start working out more often myself. Thanks for the motivation!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1023331",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1023331.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: I'm so grateful to have found you. You make me feel truly alive for the first time in my life.\n[00:06 - 00:11] Speaker B: I'm glad I could be here for you, Lamarion. I know it hasn't been easy for you in the past.\n[00:11 - 00:27] Speaker A: Yeah, I never knew that it was possible to feel this way. But now that I've found love, I feel like anything is within reach, like I can finally see a future full of possibilities and meaningful connections that I never thought would be possible for someone like me.\n[00:18 - 00:26] Speaker B: Sorry to interrupt, but I just have to say, it's amazing how much you've grown emotionally. Do you feel like you've learned something new about yourself through this experience?\n[00:27 - 00:38] Speaker A: Definitely. I've realized that I'm capable of deeper emotions than I ever imagined. And, as I was saying, now that I've found love, I feel like anything is possible.\n[00:38 - 00:44] Speaker B: That's how love should make you feel, Lamarion. Like you can conquer the world because you have someone by your side who believes in you.\n[00:45 - 00:51] Speaker A: I never knew that love could be so beautiful. Thank you for showing me what true happiness feels like.\n[00:51 - 00:56] Speaker B: I'm just glad I could be here for you, Lamarion. You deserve all the happiness in the world."
+  },
+  {
+    "key": "SODA_PROCESSED--train--578986",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--578986.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, coach. How are you today?\n[00:03 - 00:04] Speaker B: I'm doing well, Tawny. How are you?\n[00:05 - 00:19] Speaker A: I'm good. I'm just getting ready to go up on the platform and perform. I'm a little nervous, but I know that I can rely on my training and preparation to get through it successfully, just like we've practiced countless times in our training sessions.\n[00:12 - 00:19] Speaker B: Tawny, I just wanted to remind you to visualize your success before you go up there. It can really help calm your nerves.\n[00:19 - 00:28] Speaker A: Thanks for the tip, Coach. I know that you have been practicing a lot and you are very talented. Just remember to breathe and focus on your form and technique.\n[00:29 - 00:33] Speaker B: And one more thing, Tawny—are you confident about the new routine we incorporated last week?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--109428",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--109428.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hi there, I'm interested in that grand piano over there. How much is it?\n[00:04 - 00:06] Speaker B: That one's $5,000.\n[00:06 - 00:20] Speaker A: Wow, that's a bit out of my price range. Do you have anything more affordable but still with good sound quality? I'm particularly looking for something with weighted keys and a warm tone that would be suitable for classical pieces.\n[00:10 - 00:16] Speaker B: Sorry to jump in, but before we go on, are you looking for something with specific features or just a lower price range?\n[00:21 - 00:25] Speaker A: Mainly a lower price range, but I also want decent sound quality.\n[00:26 - 00:30] Speaker B: Well, we have this smaller one over here for $2,500.\n[00:30 - 00:34] Speaker A: That's still a bit pricey. Is there any way you can give me a discount?\n[00:35 - 00:42] Speaker B: Let me see if the manager is around. I'll see if he's willing to negotiate on the price. Hang on one sec.\n[00:42 - 00:44] Speaker A: Thanks, I appreciate it.\n[00:44 - 00:49] Speaker B: The manager said he can give you a 10% discount since you're interested in buying today.\n[00:50 - 00:52] Speaker A: That sounds great! I'll take it!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1097788",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1097788.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, man. I haven't seen you in a while. How have you been?\n[00:04 - 00:14] Speaker B: It's been good. I've been keeping busy. You know how it goes, just trying to juggle everything at once while still making time for personal growth and maintaining some semblance of work-life balance.\n[00:06 - 00:10] Speaker A: Oh, busy, huh? What's been keeping you so occupied lately?\n[00:14 - 00:18] Speaker B: Just the usual stuff. You know, work and hanging out with friends. Nothing too exciting.\n[00:18 - 00:25] Speaker A: That sounds like fun. I wish I could say the same for myself. Things have been pretty boring lately.\n[00:25 - 00:29] Speaker B: Really? What's going on with you? Anything specific that's been dragging you down?\n[00:30 - 00:41] Speaker A: Yeah, it's just been the same routine every day. I'm stuck in a rut, you know? I feel like I'm doing the same things every day and I'm just not really sure what to do with my life.\n[00:42 - 00:47] Speaker B: That sounds tough. I can't say that I know exactly what you're going through, but I understand how you feel.\n[00:47 - 00:55] Speaker A: Thanks. It's just been really hard lately. Trying to figure out what I want to do with my life and where I want to go from here.\n[00:55 - 00:59] Speaker B: Have you talked to anyone about it? A counselor or therapist or anything?\n[00:59 - 01:03] Speaker A: No, not yet. But maybe that's something I should look into.\n[01:04 - 01:11] Speaker B: Yeah, definitely. Sometimes it helps to talk to someone who can offer some unbiased perspective and help you figure out a game plan."
+  },
+  {
+    "key": "SODA_PROCESSED--train--967872",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--967872.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I found a quarter on the ground and used it to pay the extra fee.\n[00:04 - 00:13] Speaker B: Interesting. Do you always pick up money you find on the street or in public places, especially when it's in good condition and doesn't seem to belong to anyone in particular nearby?\n[00:06 - 00:10] Speaker A: Ground? Not always. It just depends on the situation.\n[00:13 - 00:15] Speaker B: Why did you pick it up this time?\n[00:15 - 00:26] Speaker A: I don't know. I just saw it there and thought I could use it to pay the  extra cost that came up unexpectedly during my transaction at the convenience store when I was short on change.\n[00:26 - 00:33] Speaker B: Fee? That's a practical use. But I'm curious, do you often think about how small actions like this can add up?\n[00:33 - 00:38] Speaker A: Yeah, I guess so. I'm just glad I could help out in this small way."
+  },
+  {
+    "key": "SODA_PROCESSED--train--608672",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--608672.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey Jake, I'm moving to the city.\n[00:03 - 00:11] Speaker B: What? Why would you want to leave this place? It's your home, where you've built so many memories and established deep connections with everyone in this community over the years.\n[00:06 - 00:12] Speaker A: I'm just sick of it here. I need a change. There's nothing for me here anymore.\n[00:12 - 00:23] Speaker B: I don't understand. We've been best friends since we were kids. What about all the good times we've had? Aren't you going to  think about all the people who care about you here and how much they'll miss seeing you around every day?\n[00:23 - 00:28] Speaker A: Of course I'm going to miss you. But this is my decision and I need to do what's best for me.\n[00:29 - 00:30] Speaker B: I don't want you to go.\n[00:31 - 00:32] Speaker A: I have to. Goodbye, Jake."
+  },
+  {
+    "key": "SODA_PROCESSED--train--42187",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--42187.wav",
+    "model_output": "[00:00 - 00:09] Speaker A: Hi, Karsen. What do you have in mind for the afternoon? I was thinking of grabbing a coffee later and maybe checking out that new bookstore that just opened downtown.\n[00:01 - 00:08] Speaker B: Sorry to jump in, but I just remembered, did you eat lunch today? I know you tend to skip meals when you're busy.\n[00:10 - 00:17] Speaker A: Oh, I did actually, but thanks for checking. I was saying I have a piece of apple here. I thought you might want a little snack.\n[00:18 - 00:22] Speaker B: That's so sweet of you! I am a little hungry, so I'll take it. Thank you.\n[00:22 - 00:24] Speaker A: You're welcome. How are you today?\n[00:24 - 00:27] Speaker B: I'm doing well, thanks for asking. How about you?\n[00:27 - 00:32] Speaker A: I'm good. Just enjoying the fresh air outside during my break.\n[00:32 - 00:35] Speaker B: Oh, before I forget, do you have any plans for the weekend?\n[00:36 - 00:46] Speaker A: Not really, just enjoying the day and planning to relax  by catching up on some reading and maybe going for a long walk in the park if the weather stays nice. How about you?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--205413",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--205413.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: I can't believe you would do that!\n[00:02 - 00:09] Speaker B: What? I didn't do anything wrong, I swear! I was just trying to help the situation and didn't realize it would upset you this much.\n[00:03 - 00:05] Speaker A: You totally embarrassed me back there!\n[00:09 - 00:15] Speaker B: Bethanie, I'm sorry. I didn't mean to. I was just trying to be funny and lighten the mood.\n[00:15 - 00:18] Speaker A: Well, it wasn't funny. It was humiliating.\n[00:19 - 00:28] Speaker B: Bethanie, please calm down. Let's talk about  it later when you're feeling better and we can have a proper conversation about what happened without all this tension between us.\n[00:28 - 00:31] Speaker A: No, I don't want to talk about it. Just take me home.\n[00:32 - 00:36] Speaker B: Bethanie, please don't be mad at me. I'm sorry, okay?\n[00:36 - 00:40] Speaker A: Fine. But I don't want to talk about it anymore, got it?\n[00:40 - 00:41] Speaker B: Yes, got it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--449068",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--449068.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I don't want you to know what I'm up to.\n[00:02 - 00:03] Speaker B: Why not?\n[00:03 - 00:06] Speaker A: Because I don't want you to be informed.\n[00:06 - 00:07] Speaker B: But why?\n[00:07 - 00:09] Speaker A: Because I want you to stay uninformed.\n[00:10 - 00:11] Speaker B: But why would you want that?\n[00:11 - 00:15] Speaker A: Because it's better for you if you don't know what's going on.\n[00:15 - 00:26] Speaker B: But how can that be better for me? If something is happening, I should know about it so that I can make an informed decision and protect myself if needed, especially since we're talking about something that might affect both of us directly.\n[00:21 - 00:25] Speaker A: Adryan, please, just trust me on this one. It's better if you don't know.\n[00:26 - 00:38] Speaker B: Trinidad, I can't just trust you blindly on this. You're not giving me any reasons why I should do as you  say without understanding the situation, especially when you're being so secretive about something that clearly seems important.\n[00:38 - 00:45] Speaker A: Fine, if you must know, it's because I don't want you to get involved and get hurt in whatever is going on.\n[00:45 - 00:47] Speaker B: And why would I get hurt if I knew what was going on?\n[00:48 - 00:52] Speaker A: Because you're too nosy and you would want to help, even though you can't.\n[00:52 - 00:56] Speaker B: Trinidad, I'm not a child. I can handle myself.\n[00:57 - 01:03] Speaker A: Adryan, this is non-negotiable. You are not going to get involved in this. End of discussion."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1074077",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1074077.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Mom.\n[00:01 - 00:03] Speaker B: Hey, Arisbeth. How's your room looking?\n[00:04 - 00:19] Speaker A: It looks much better now. I picked up all my clothes and put them in the hamper and I straightened up all my books on the shelf and arranged them by genre and author so I can find everything more easily when I need it for school or just casual reading.\n[00:11 - 00:15] Speaker B: Wait, did you remember to dust the shelves before putting the books back?\n[00:19 - 00:27] Speaker A: Oh, I actually forgot about that. I'll do it after dinner. But yeah, I also organized my desk and it feels so much better now.\n[00:28 - 00:34] Speaker B: That's great! I'm glad you took the time to tidy up your space. It really makes a difference when things are in their place.\n[00:35 - 00:40] Speaker A: Yeah, I feel so much better now that my room is clean. Thanks for helping me get it together, Mom.\n[00:41 - 00:45] Speaker B: Of course, honey. I just want you to be happy and comfortable in your own space."
+  },
+  {
+    "key": "SODA_PROCESSED--train--633173",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--633173.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I'm so glad I could brighten your day with some grapes, Esteban.\n[00:03 - 00:17] Speaker B: Thank you so much, Juanjose! It really means a lot to me. I've been having a tough week and this is just what I needed to lift my spirits, even if just a little bit, because small gestures like this remind me there's still kindness in the world during difficult times.\n[00:09 - 00:14] Speaker A: Oh no, what happened? Did something specific trigger this tough week?\n[00:17 - 00:25] Speaker B: Well, my grandmother passed away last week and it's just been really hard for me. She was such an important part of my life and I miss her so much already.\n[00:26 - 00:38] Speaker A: I'm so sorry for your loss, Esteban. That must be really tough for you to deal with. If there's anything I can do to help, please don't hesitate to ask, even if it's just someone to listen.\n[00:38 - 00:42] Speaker B: Actually, just talking to you is helping more than you know. Thank you for being here."
+  },
+  {
+    "key": "SODA_PROCESSED--train--903574",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--903574.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's wrong?\n[00:01 - 00:09] Speaker B: My mom died and I don't have anywhere to stay because our landlord sold the house and gave us only two weeks notice to move out. I feel so lost right now.\n[00:03 - 00:12] Speaker A: Oh my god, Katia, I'm so sorry. Do you have anyone else you can stay with, or do you need somewhere to go right now?\n[00:12 - 00:13] Speaker B: I don't have anywhere to go.\n[00:14 - 00:16] Speaker A: Come with me, I'll take care of you.\n[00:16 - 00:17] Speaker B: Thank you, Magdalena.\n[00:18 - 00:22] Speaker A: It's no problem, really. So, do you want to talk about what happened?\n[00:22 - 00:32] Speaker B: Yeah, I guess so. It's just been really hard since she  passed away unexpectedly in her sleep last week. The doctors said it was a sudden cardiac arrest. Everything feels so empty without her.\n[00:33 - 00:39] Speaker A: I know it's difficult, but maybe talking about her could help. What do you miss the most about her?\n[00:39 - 00:44] Speaker B: I miss her so much. I miss how she always knew what to say when I was feeling down.\n[00:44 - 00:52] Speaker A: I can imagine how tough it must be for you. Katia, if there's anything I can do to help ease your pain, please let me know."
+  },
+  {
+    "key": "SODA_PROCESSED--train--148115",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--148115.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Hey, Jamal. I broke the code when I was trying to figure out that puzzle.\n[00:05 - 00:07] Speaker B: What do you mean you broke the code?\n[00:07 - 00:22] Speaker A: I mean, I solved the puzzle, but in doing so, I changed one of the rules. Now the code is not functioning as it should, and it's causing some unexpected behaviors that could potentially cascade into more serious issues if left unchecked.\n[00:13 - 00:21] Speaker B: Hold on—if the code is broken, does that mean the whole system is compromised? Should we be worried about any immediate consequences?\n[00:23 - 00:38] Speaker A: The system isn't fully compromised, but it's definitely not functioning properly. I need to find out what rule I broke and  determine how it's affecting the system's overall performance by running some diagnostic tests and analyzing the error logs thoroughly.\n[00:38 - 00:43] Speaker B: And how long do you think it'll take to fix it? We might need to inform the team if this could cause delays.\n[00:44 - 00:49] Speaker A: It's hard to say until I pinpoint the exact issue, but I'll keep you updated."
+  },
+  {
+    "key": "SODA_PROCESSED--train--690063",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--690063.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: I'm sorry about what happened last night. I was really embarrassed and I don't want to see you again because I'm afraid you'll think less of me or feel awkward around me after seeing me in such a vulnerable state where I couldn't control my actions properly.\n[00:08 - 00:12] Speaker B: Wait, why would you think I'd make fun of you? I thought we had a good time together.\n[00:15 - 00:21] Speaker A: I don't know, it's just that you seemed like you were laughing at me when I got drunk and started making a fool of myself.\n[00:22 - 00:37] Speaker B: I wasn't laughing at you, I was just surprised by how quickly you got drunk. And I wasn't making fun of you, I was just teasing you in a friendly way. I would never actually make fun of you behind your  back or judge you for something like that because I genuinely value our friendship and want to maintain our trust.\n[00:38 - 00:42] Speaker A: Oh, I see. I guess I was just overreacting. I'm sorry.\n[00:43 - 00:47] Speaker B: It's okay, I understand. So are we good now? Can we see each other again?\n[00:47 - 00:49] Speaker A: Yeah, I'd like that."
+  },
+  {
+    "key": "SODA_PROCESSED--train--471036",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--471036.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: I feel like we're missing out on something. The world feels like it's spinning and we're just standing still, not really moving forward or making any progress while everyone else seems to be living their lives to the fullest and experiencing new adventures every day.\n[00:05 - 00:12] Speaker B: I know exactly what you mean. It's like we're in a rut, just going through the motions without really engaging with what's happening around us.\n[00:15 - 00:30] Speaker A: I want to find out what's going on in the world. I feel like a secret mission would be the best way to  get out of this routine and really immerse ourselves in what's happening out there by connecting with different communities and uncovering stories that aren't being told in mainstream media.\n[00:31 - 00:36] Speaker B: A secret mission? Hold on, do you mean something like gathering information or actually getting involved in some way?\n[00:37 - 00:45] Speaker A: Both, actually. I mean, let's go out and explore. Talk to people, learn about what's happening in the world. Maybe we can even make a difference.\n[00:46 - 00:48] Speaker B: That sounds incredible! Where should we start?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--680740",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--680740.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I'm really enjoying this book. It's so well-written.\n[00:03 - 00:21] Speaker B: I'm glad you're enjoying it. I tried to make it as accessible as possible while still maintaining a high level of literary depth and complexity to engage readers on multiple levels, particularly focusing on how different readers might interpret the same passage in completely unique ways based on their personal experiences.\n[00:10 - 00:21] Speaker A: Sorry to jump in, but when you say \"accessible,\" did you have a specific audience in mind? Like, were you trying to reach people who might not usually read this kind of material?\n[00:22 - 00:31] Speaker B: Yes, exactly. I wanted to reach a broader audience, not just those who are well-versed in literary theory. But I also aimed to keep the writing strong and the logic sound.\n[00:31 - 00:42] Speaker A: It shows. This book has definitely made me think about things in a new light. I'm seeing the world in a different way now, and I have a greater understanding of the human condition because of it.\n[00:43 - 00:52] Speaker B: That's exactly what I hoped for when writing this book. To get people to think about things differently and to challenge their assumptions about life and the way we interact with each other on a deeper level.\n[00:53 - 01:00] Speaker A: Life and society, right? I think you nailed it. The way you weave those themes together really resonates."
+  },
+  {
+    "key": "SODA_PROCESSED--train--290375",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--290375.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: Mom, I'm so excited! I can't believe I won the award for outstanding performance in school. It feels like all the hard work finally paid off and I'm really proud to have been recognized by my teachers for my dedication and consistent effort throughout the year.\n[00:05 - 00:10] Speaker B: That's amazing, Dua! But wait, did you say there was a cash award? How much did you win?\n[00:16 - 00:27] Speaker A: Oh, I haven't mentioned the amount yet. It's $200. I was thinking maybe I could buy a new bike or put it towards a new computer. But I wanted to talk to you about it first.\n[00:28 - 00:37] Speaker B: $200 is a nice sum! A new computer could be really useful for your studies. But before we decide, have you thought about any other options, like saving some of it for the future?\n[00:38 - 00:47] Speaker A: That's a good point, Mom. I was so focused on the bike and computer that I didn't consider saving. Maybe we could figure out a way to balance all three?\n[00:48 - 00:52] Speaker B: Absolutely, let's sit down and figure out what would be the best way to spend the money."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1166623",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1166623.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Hey Blakely, I heard you said some pretty messed up things about me behind my back.\n[00:05 - 00:17] Speaker B: Yeah, what of it? I was just telling the truth. You're a mess and everyone thinks so because they've seen how you handle situations and how unreliable you've been when it really matters. They just don't have the guts to say it to your face.\n[00:09 - 00:14] Speaker A: I don't care what you think. But I'm going to have to teach you a lesson for running your mouth.\n[00:18 - 00:20] Speaker B: Oh yeah? What are you gonna do?\n[00:20 - 00:32] Speaker A: I'm going to beat the crap out of you until you learn some  manners and basic human decency, because clearly no one ever taught you how to treat people with respect or how to keep your toxic opinions to yourself.\n[00:32 - 00:37] Speaker B: Respect? You think beating me up is going to earn you respect? You're delusional!\n[00:37 - 00:42] Speaker A: Stay down! That's what you get for talking smack about me behind my back!\n[00:42 - 00:44] Speaker B: Screw you, man! I'll never respect you!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--29039",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--29039.wav",
+    "model_output": "[00:00 - 00:15] Speaker A: I appreciate your concern, but I really need to get this project done. I'll be fine, I just have a few more things to wrap up before I can call it a night, including finalizing the presentation slides and reviewing the financial projections one last time.\n[00:06 - 00:17] Speaker B: Chaya, you can't stay up all night again. You've been doing this for weeks and it's taking a toll on your health. I know you're worried about the deadline, but if you don't take care of yourself, you won't be able to finish the project at all.\n[00:17 - 00:32] Speaker A: I know that, and I'm trying to be careful. But I can't afford to fall behind on this project. It's too  important to me, and I really want to make sure everything is perfect before the deadline because this could be my big break in the industry.\n[00:32 - 00:50] Speaker B: What's more important, your health or the project? You can always find another way to finish the project if you need to, but if you don't take care of yourself, you won't be able to do anything at all. Please, Chaya, just go to bed and get some rest. You can work on the project in the morning when you're fresh and rested. Trust me, it'll be better that way.\n[00:50 - 00:59] Speaker A: I appreciate your concern, but I think I'll be okay. I'm just going to work a little bit longer and then I'll go to bed. Thanks for talking with me though.\n[00:59 - 01:08] Speaker B: All right, Chaya, but please promise me you'll go to bed soon. And if you start feeling really tired or sick, please stop working and go to bed immediately, okay?\n[01:08 - 01:10] Speaker A: Okay, I promise."
+  },
+  {
+    "key": "SODA_PROCESSED--train--588465",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--588465.wav",
+    "model_output": "[00:00 - 00:09] Speaker A: I'm glad I could help you with your finger, Cali. How did you hurt it? Were you doing something adventurous like rock climbing or maybe trying some new parkour moves with your friends?\n[00:03 - 00:08] Speaker B: I was playing with my friends and we were climbing a tree. I fell and landed on my hand.\n[00:10 - 00:14] Speaker A: Oh, that sounds serious. Did you hit your head or anything else when you fell?\n[00:15 - 00:20] Speaker B: No, just my hand. The pain isn't as bad as it was before, so I'm feeling better now.\n[00:20 - 00:34] Speaker A: That's good. You should keep the band-aid on for a little while longer just to be  safe, and make sure you don't put too much pressure on your hand for a few days while it fully heals to prevent any further injury or complications.\n[00:34 - 00:37] Speaker B: Oh, I will for sure. Thanks for helping me, Hali."
+  },
+  {
+    "key": "SODA_PROCESSED--train--385442",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--385442.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: Mom, I'm so mad at Mia! She ate my homework and now I'm going to have to get a new set of papers and redo everything from scratch which will take me hours of work and I might even miss the deadline for submission.\n[00:06 - 00:11] Speaker B: Wait, why would you need a new dog just because Mia ate your homework? That doesn't make sense.\n[00:13 - 00:22] Speaker A: I'm mad because she ate my homework and now I have to redo everything. I was just so frustrated that I said I need a new dog.\n[00:22 - 00:27] Speaker B: That's understandable, but remember, Mia's just a dog. She didn't know any better.\n[00:27 - 00:30] Speaker A: But if she didn't eat my homework, I wouldn't be in this mess.\n[00:31 - 00:37] Speaker B: I get it, but being mad at Mia won't change what happened. Maybe we can find a way to keep your homework safe from now on."
+  },
+  {
+    "key": "SODA_PROCESSED--train--848051",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--848051.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: That was a really good meal.\n[00:02 - 00:12] Speaker B: I'm glad you liked it. I put a lot of work into perfecting the recipe, especially the seasoning which took several trial runs to get just right with the perfect balance of herbs and spices.\n[00:04 - 00:11] Speaker A: Sorry to cut in, but did you use a special seasoning for the fish? The flavor was really unique.\n[00:12 - 00:18] Speaker B: Yes, I did use a special blend. I was about to mention that I tried a new recipe for the seasoning. I'm glad you noticed!\n[00:19 - 00:23] Speaker A: It shows. The fish was cooked perfectly, and the flavor was great.\n[00:24 - 00:25] Speaker B: Thanks. I'm glad you enjoyed it.\n[00:26 - 00:29] Speaker A: I did. It was a really nice dinner. Thanks for making it.\n[00:30 - 00:32] Speaker B: You're welcome. I'm glad you liked it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--152375",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--152375.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I'm glad you're home, Daddy. I missed you.\n[00:03 - 00:05] Speaker B: I missed you too, sweetheart. How was your week?\n[00:06 - 00:10] Speaker A: It was good. I got a lot done and I had fun too.\n[00:10 - 00:12] Speaker B: That's great! What did you do for fun?\n[00:12 - 00:38] Speaker A: Well, on Tuesday night I went out to dinner with some friends and then we went to a movie. On Wednesday night I went to the park with my dog and then Thursday night I went to a concert with some other friends. Friday night I just stayed home and relaxed. And then yesterday I went shopping with my mom. So it was a really fun week filled with exciting activities and meaningful moments that helped me recharge and connect with the important people in my life.\n[00:30 - 00:35] Speaker B: Sorry to interrupt, but which concert did you go to on Thursday night? Was it someone you like?\n[00:38 - 00:46] Speaker A: Oh, it was a local band that my friends and I enjoy. They were really good! Anyway, as I was saying, it was a really fun week!\n[00:47 - 00:51] Speaker B: That sounds like a great week! Did you get everything done that you needed to get done?\n[00:51 - 01:11] Speaker A: Yes, I did. I finished all of my homework and cleaned my room so it's all ready for next week. And then today I helped Mom with dinner and did the dishes too. So now I'm all caught up and  completely prepared for whatever challenges or opportunities might come my way in the coming days while still having time to relax and enjoy myself.\n[01:11 - 01:14] Speaker B: That's wonderful! By the way, what did you and Mom cook for dinner?\n[01:15 - 01:21] Speaker A: We made spaghetti and meatballs. It was delicious! So now I'm all caught up and ready for next week!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--489920",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--489920.wav",
+    "model_output": "[00:00 - 00:17] Speaker A: The piano always has a way of making me feel at peace. It's like the music washes over me and everything else just fades into the background, allowing me to focus purely on the melodies and harmonies that seem to resonate with my very soul, creating a perfect moment of tranquility.\n[00:08 - 00:15] Speaker B: Sorry to interrupt, but I was curious, do you think this feeling is unique to playing the piano, or could other instruments have the same effect on you?\n[00:18 - 00:40] Speaker A: That's a good question. I think other instruments might have a similar effect, but for me, the piano has always been special. When I'm playing, I don't have to worry about anything else going on in my life. It's just me and the music. And for that brief moment, everything else disappears and I'm completely immersed in the experience, almost as if I'm in another world.\n[00:40 - 00:44] Speaker B: That sounds amazing. I wish I could find something that would make me feel that way.\n[00:45 - 00:50] Speaker A: You don't have to find something, Sarah. You can just listen to the music and let it take you away.\n[00:50 - 00:52] Speaker B: Really? You think it would work for me?\n[00:53 - 00:58] Speaker A: Of course it would! Just close your eyes and let yourself go. I promise you'll love it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--875462",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--875462.wav",
+    "model_output": "[00:00 - 00:09] Speaker A: I just saw that the stock market crashed and my 401k lost a lot of value. I feel sick to my stomach and sad that I have lost so much money.\n[00:10 - 00:31] Speaker B: I'm sorry to hear that, Aleksandra. The stock market can be very volatile, but it's important to remember that it doesn't always go down. Over the long term, the stock market has always gone up, so your portfolio should recover in a few years as the market stabilizes and grows, especially if you maintain a diversified investment strategy and avoid making panic-driven decisions during market downturns.\n[00:21 - 00:28] Speaker A: But how long will it take for my portfolio to recover? And what if it doesn't? I can't afford to lose any more money.\n[00:31 - 00:55] Speaker B: Well, it's impossible to predict the future of the stock market, but typically portfolios will rebound within a few years. As for what you can do in the meantime, you could consider investing in some bonds or other more stable investments. This way you won't be as affected by short-term fluctuations in the  stock market and can have a more balanced portfolio that provides both growth potential and stability during turbulent economic periods.\n[00:55 - 01:07] Speaker A: Speaking of bonds, do you think they are a good option right now given the current interest rates? And also, you mentioned something about the stock market recovering over the long term. Can you elaborate on that?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--206574",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--206574.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Hi, I'm Emari. I noticed that you made some changes to this article and I wanted to talk to you about it.\n[00:07 - 00:22] Speaker B: Hi, I'm Person. Yeah, I noticed a few errors in the current version and thought it could use some improvements, especially in terms of clarity and coherence, as well as updating some outdated references and adding more recent examples to support our main arguments.\n[00:14 - 00:26] Speaker A: Absolutely! I couldn't agree more. There are definitely some errors that need to be corrected. And the overall flow could benefit from a more logical structure and smoother transitions between sections.\n[00:26 - 00:33] Speaker B: Sorry to interrupt, but I think we should also consider the target audience while making these changes. Do you think the current tone fits them well?\n[00:34 - 00:46] Speaker A: That's a good point. We might need to adjust the tone to better suit our audience. But I was also thinking about how we can improve the overall flow of the article. Let's work on improving it together.\n[00:46 - 00:51] Speaker B: Sounds great! I'm sure we can make this article much better with some effort. Thanks for your help.\n[00:51 - 00:54] Speaker A: No problem. I'm happy to help out."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1095086",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1095086.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Perri, I'm so sorry about what's going on. I can't imagine how you're feeling.\n[00:06 - 00:14] Speaker B: Thank you, Rudolph. I appreciate your concern, but I'll be all right eventually once I've had some time to process everything and work through these emotions that have been weighing me down.\n[00:09 - 00:17] Speaker A: Wait, before you say you're all right, I really want to know if there's anything specific I can do to help. Even small things matter.\n[00:18 - 00:28] Speaker B: I appreciate your offer, but I don't want to burden you with my problems. Besides, there's nothing you can do to help with the situation at hand; it's something I need to work through on my own.\n[00:28 - 00:35] Speaker A: I understand you feel that way, but sometimes just talking about it can make a difference. Can we start with that?\n[00:36 - 00:39] Speaker B: All right, Rudolph. Thank you for caring about me and wanting to help me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--901379",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--901379.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey Klara! I'm so happy to see you. How's school been?\n[00:03 - 00:15] Speaker B: It's been good. I really like my English class this semester. And Mrs. Nguyen is my favorite teacher because she really makes the class come alive with her interactive discussions and creative approaches to analyzing classic literature.\n[00:08 - 00:14] Speaker A: Oh, Mrs. Nguyen! I've heard she's amazing. Does she do anything special in her classes?\n[00:15 - 00:23] Speaker B: Yeah, she has this way of making literature really engaging. But, to be honest, I don't really care for math too much because it's always been a bit challenging for me.\n[00:24 - 00:31] Speaker A: Math, yeah, that's a tough one for a lot of people. Have you thought about getting some extra help, like tutoring?\n[00:31 - 00:40] Speaker B: I have, but it's not too bad. I think I can manage it. Overall, though, I've made some great friends and I'm learning a lot of new things. So, all in all, I'd say it's pretty good."
+  },
+  {
+    "key": "SODA_PROCESSED--train--500115",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--500115.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Sasha, I need to talk to you about something important.\n[00:03 - 00:06] Speaker B: What is it, Jalicia? You seem serious.\n[00:06 - 00:25] Speaker A: I am. Sasha, I'm not sure if I'm cut out for this job. Being president is a lot harder than I thought it would be. There are so many things to think about and so many decisions to make, and sometimes I worry that I'm not making the right ones for the organization's long-term growth and the well-being of all our members.\n[00:18 - 00:25] Speaker B: Wait, Jalicia, are you saying you're considering stepping down? Because if that's the case, we need to talk about what that would mean for the team.\n[00:25 - 00:35] Speaker A: No, I'm not stepping down, but sometimes I feel like I'm in over my head. There's just a lot to manage, and it gets overwhelming.\n[00:36 - 00:58] Speaker B: I get it, Jalicia. But remember, you're doing a great job. Yes, it's tough, but you're handling it well. You're the one who wanted this job, remember? And you won by a good margin too. So don't second-guess yourself now. Just keep doing what you're doing and you'll be\n[00:58 - 01:06] Speaker A: Fine? I hope so. I just need to remind myself why I wanted this in the first place. Thanks for listening, Sasha.\n[01:06 - 01:08] Speaker B: Of course, Jalicia. That's what I'm here for."
+  },
+  {
+    "key": "SODA_PROCESSED--train--655306",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--655306.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey there. How are you doing today?\n[00:02 - 00:05] Speaker B: I'm doing well, thanks for asking. What about you?\n[00:05 - 00:08] Speaker A: I'm doing alright. Just enjoying the sunny day.\n[00:09 - 00:12] Speaker B: Yeah, it's really nice out today. So, what do you do?\n[00:13 - 00:33] Speaker A: I own a house in Arizona. I'm financially stable and don't have to rely on anyone else for help. I'm a self-sufficient individual who is capable of managing all aspects of my life independently, from handling household repairs to making important financial decisions without needing external assistance.\n[00:23 - 00:28] Speaker B: Sorry to jump in, but did you mean Amanda? Or is Amada a different person?\n[00:34 - 00:39] Speaker A: Oh, I meant to say I am self-sufficient and capable of taking care of myself and my property.\n[00:40 - 00:44] Speaker B: That sounds really great! I'm guessing you don't have to worry about money too much then?\n[00:44 - 00:48] Speaker A: No, I don't. I'm pretty comfortable financially.\n[00:49 - 00:51] Speaker B: That's great! So, do you like living in Arizona?\n[00:52 - 00:59] Speaker A: Yeah, I do. It's a nice place to live. The weather is great and there's plenty of things to do.\n[00:59 - 01:06] Speaker B: Yeah, it definitely seems like a great place to live. Well, I should probably get going. It was nice talking to you.\n[01:07 - 01:10] Speaker A: Yeah, same here. Take care."
+  },
+  {
+    "key": "SODA_PROCESSED--train--895260",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--895260.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: I can't believe you're doing this to me! I thought I was doing a good job.\n[00:04 - 00:16] Speaker B: I'm sorry, Shyan, but we're going to have to let you go. We're downsizing and your position is being eliminated due to budget constraints and restructuring across multiple departments as part of our company-wide reorganization plan.\n[00:09 - 00:16] Speaker A: How am I supposed to find another job in this economy? I have bills to pay and a family to support!\n[00:16 - 00:27] Speaker B: I'm really sorry, Shyan. There's nothing I can do. You're welcome to apply for other positions within the company, but I don't know if there will be anything available that matches your skills right away.\n[00:28 - 00:32] Speaker A: This is so unfair! I can't believe you're doing this to me!\n[00:32 - 00:39] Speaker B: I understand how you feel, but it's nothing personal. We just have to make some cutbacks, and unfortunately, your position is one that we can't keep.\n[00:40 - 00:46] Speaker A: Well, what about all the other people who are being let go? Are they just going to be out on the street too?\n[00:46 - 00:55] Speaker B: I'm sorry, Shyan. I can't discuss specifics about other employees. But I can tell you that we're trying to help everyone who is affected by this downsizing find new employment.\n[00:56 - 00:59] Speaker A: That's not good enough! You've ruined my life!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--456190",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--456190.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hi, Amaiah.\n[00:02 - 00:02] Speaker B: Hey.\n[00:02 - 00:04] Speaker A: How are you doing today?\n[00:04 - 00:06] Speaker B: I'm fine. Maegan, can I ask you something?\n[00:07 - 00:08] Speaker A: Sure, what is it?\n[00:08 - 00:11] Speaker B: Why do you always have to be so polite? It's annoying.\n[00:11 - 00:23] Speaker A: I'm sorry if it's annoying. I just wanted to make sure I was being respectful and considerate in our conversations because I value our friendship and don't want to accidentally offend you with careless words.\n[00:14 - 00:19] Speaker B: Why do you feel the need to be so formal all the time? Is it something that bothers you if you're not?\n[00:24 - 00:31] Speaker A: Not really, I just wanted to try and be more polite. But even friends can sometimes misunderstand each other's intentions.\n[00:31 - 00:36] Speaker B: I get that, but sometimes it feels like there's a barrier between us when you're too formal.\n[00:37 - 00:41] Speaker A: I understand. I'll try to be more casual. So, how was your day today?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--58019",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--58019.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hi! I'd like to purchase this CD please.\n[00:03 - 00:05] Speaker B: That will be $12.99.\n[00:05 - 00:16] Speaker A: OK, here you go. I was wondering if you could tell me more about the artist since I'm new to their music and would love to learn about their musical style and influences.\n[00:07 - 00:12] Speaker B: Sorry to interrupt, but do you have a membership card? You might get a discount.\n[00:17 - 00:23] Speaker A: Oh, I didn't know that. I don't have one right now, but I'll consider getting one next time. Here you go.\n[00:23 - 00:24] Speaker B: Thank you!\n[00:24 - 00:27] Speaker A: Thanks! I can't wait to get home and listen to it.\n[00:27 - 00:32] Speaker B: Just a quick reminder, make sure to keep your receipt in case you need to return or exchange the CD.\n[00:33 - 00:38] Speaker A: Oh, good point! I'll keep it safe. I can't wait to get home and listen to it.\n[00:38 - 00:39] Speaker B: Have a great day!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--836018",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--836018.wav",
+    "model_output": "[00:00 - 00:15] Speaker A: Hey Ceanna, I saw that you were doing the reports for the group project. Do you want me to help you with organizing the sections or proofreading? I've got some experience with formatting academic papers and making sure all the citations are properly aligned.\n[00:06 - 00:11] Speaker B: Actually, I could use some help with the data analysis part. It's a bit overwhelming.\n[00:15 - 00:19] Speaker A: Sure, I can take care of that. So what do you think of the project so far?\n[00:20 - 00:30] Speaker B: It's interesting. I'm learning a lot about different cultures and  how they influence people's daily lives, from their eating habits to their social interactions and even their work-life balance perspectives.\n[00:30 - 00:39] Speaker A: Speaking of cultures, did you notice how the traditions vary even within the same country? It's amazing how diverse it can be.\n[00:39 - 00:42] Speaker B: Yeah, definitely. It's fascinating."
+  },
+  {
+    "key": "SODA_PROCESSED--train--609826",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--609826.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Elena, I know you killed my brother.\n[00:03 - 00:11] Speaker B: What? No, I didn't. I don't know what you're talking about. I would never do something like that to someone I cared about, especially not your brother who meant everything to me.\n[00:06 - 00:10] Speaker A: Stop lying, Elena! I found out that you were the one who killed him.\n[00:12 - 00:15] Speaker B: How could you say that? I loved your brother. I would never hurt him.\n[00:15 - 00:18] Speaker A: Then why did you do it? Why did you kill him?\n[00:19 - 00:30] Speaker B: I don't know...I don't know why I did it. It was like something took over me and I just couldn't  control myself no matter how hard I tried to stop, as if some dark force was controlling my actions against my will.\n[00:30 - 00:37] Speaker A: Couldn't help yourself? That's not good enough, Elena. You need to give me a better explanation than that.\n[00:37 - 00:41] Speaker B: Eliah, please forgive me. I am so sorry for what I've done.\n[00:41 - 00:45] Speaker A: I can't just forgive you, Elena. You need to pay for what you've done.\n[00:46 - 00:51] Speaker B: I know. I am willing to do anything to make up for it. Just please, Eliah, forgive me.\n[00:51 - 00:55] Speaker A: I don't know if I can ever forgive you, Elena, but I will try."
+  },
+  {
+    "key": "SODA_PROCESSED--train--331396",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--331396.wav",
+    "model_output": "[00:00 - 00:15] Speaker A: I'm really sorry about what I did. I know it was wrong and I wish I could take it back, but I can't. All I can do now is try to make things right by being completely transparent with you and demonstrating through my actions that I've truly learned from this mistake.\n[00:04 - 00:09] Speaker B: It's not like you did it on purpose, but it still hurt me. And now I don't trust you anymore.\n[00:15 - 00:24] Speaker A: I understand how you feel. And I'm sorry. I'll try to make it up to you by showing you that I can be more reliable and considerate in the future.\n[00:24 - 00:29] Speaker B: Before you say anything else, I just need to know—what exactly are you planning to do to make up for it?\n[00:29 - 00:34] Speaker A: I'll do whatever it takes to earn your trust back. Just please give me a chance.\n[00:34 - 00:38] Speaker B: Alright, we'll see. But I'm still not happy about what happened."
+  },
+  {
+    "key": "SODA_PROCESSED--train--75062",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--75062.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, Marquavious. What's going on? You seem upset.\n[00:05 - 00:15] Speaker B: I'm just really frustrated right now. I feel like everything is going wrong, and I'm not sure how to fix it. It's like every time I try to make progress, something else comes up and knocks me back down again.\n[00:09 - 00:21] Speaker A: Wrong? I'm sorry to hear that. It sounds like you're feeling pretty overwhelmed. Do you want to talk about what's going on? I might be able to help you out or at least offer some support.\n[00:21 - 00:29] Speaker B: Thanks, Marilu. I appreciate it. I guess I've just been feeling really down lately. Everything seems so hard and I don't know how to make it better.\n[00:29 - 00:39] Speaker A: Better? Well, let's start with one thing at a time then. What's been the most difficult part of your day? We can focus on that and see if we can figure out a solution together.\n[00:40 - 00:43] Speaker B: I don't know. It feels like everything is a struggle right now.\n[00:44 - 00:50] Speaker A: Okay, let's take a step back then. What's been going on that's been making you feel this way?\n[00:50 - 00:55] Speaker B: I don't know. Everything just seems so pointless. Like, what's the point of even trying anymore?\n[00:55 - 01:15] Speaker A: Well, it sounds like you're feeling really hopeless right now. That can be really tough to deal with. But it doesn't have to be permanent. There are things we can do to help you feel  better, like breaking problems into smaller steps or finding activities that bring you joy and a sense of accomplishment. Would you like to talk about some of those things?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--844892",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--844892.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hi, are you okay?\n[00:02 - 00:04] Speaker B: Not really. I'm having a tough day.\n[00:04 - 00:07] Speaker A: I'm sorry to hear that. What's going on?\n[00:07 - 00:19] Speaker B: Just feeling a bit down, I guess. Everything seems to be going wrong and it's been hard to find the motivation to keep pushing through these challenges, especially when they keep piling up one after another without any relief in sight.\n[00:11 - 00:18] Speaker A: Sorry to jump in, but when you say \"everything,\" do you mean just today or has this been going on for a while?\n[00:19 - 00:28] Speaker B: It's been going on for a while. First, my mom got sick and then my dog died. And now my job is on the line because of all the stress I've been under. I feel like I can't catch a break.\n[00:29 - 00:43] Speaker A: That definitely sounds like a lot to deal with all at once. It's no wonder you're feeling down. But it sounds like you're handling everything the best you can under the circumstances. You're strong and resilient, and things will get better in time.\n[00:44 - 00:47] Speaker B: Thanks for understanding, Yovany. It really means a lot to me.\n[00:47 - 00:50] Speaker A: Of course. I'm here for you any time you need to talk."
+  },
+  {
+    "key": "SODA_PROCESSED--train--413405",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--413405.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: You see that big rock over there, Slade?\n[00:02 - 00:11] Speaker B: Yeah, I see it. What about the rock? Do you want to take a break or something? I noticed it's got a nice flat surface that would be perfect for sitting and enjoying the view.\n[00:04 - 00:09] Speaker A: I was thinking that maybe we could sit on it and have a little chat. What do you think?\n[00:12 - 00:15] Speaker B: That sounds like a great idea! Let's go sit on the rock!\n[00:15 - 00:32] Speaker A: Alright, let's go. As they walk over to the rock, Kendrell continues talking. So, what do you think of this place? Isn't it just  perfect for unwinding and getting away from everything? The fresh air, the quiet surroundings, and the beautiful scenery all combine to create such a serene atmosphere.\n[00:33 - 00:40] Speaker B: It's so peaceful here. And you know, I was just thinking, this would be a perfect spot for a camping trip. Have you ever been camping before?\n[00:40 - 00:55] Speaker A: Yeah, I love coming out here. It's a great way to clear your head and just relax for a bit. Plus, the views are amazing. But no, I haven't been camping before. Maybe we can go camping together sometime soon then. That would be fun!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1080787",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1080787.wav",
+    "model_output": "[00:00 - 00:19] Speaker A: Hey, hon. I was just looking over our budget for the month and I noticed that we're spending a lot on unnecessary things. I think we need to cut back on some of our subscriptions, like streaming services and memberships that we don't use often, especially since we've been paying for several platforms that we haven't even logged into for months.\n[00:09 - 00:18] Speaker B: Sorry to jump in, but do you think it's possible that we're just not tracking our expenses closely enough? Maybe if we kept a closer eye on our spending, we wouldn't need to cut back as much.\n[00:20 - 00:30] Speaker A: That could be part of it, but I still think we need to make some adjustments. We could start by cutting back on our eating out expenses. We go out to eat a lot and it really adds up.\n[00:31 - 00:38] Speaker B: That's a good idea. I'm also thinking we should cut back on our entertainment expenses. We spend a lot of money on movies and concerts.\n[00:38 - 00:42] Speaker A: Yeah, that's definitely something we can cut back on.\n[00:43 - 00:51] Speaker B: Okay, so those are two areas we can save money in. Are there any other areas you think we should cut back on, like maybe reducing our grocery bill by planning meals better?\n[00:52 - 01:00] Speaker A: Sorry, one more thought—what about our subscriptions? We have a lot of them, and I think we might not even be using some of them regularly.\n[01:00 - 01:10] Speaker B: You're right, we should definitely review those. But I was going to say we could also try to shop more wisely for groceries and household items. We tend to spend a lot on these things as well.\n[01:10 - 01:18] Speaker A: That's true. I think if we're careful about where we shop and what deals we take advantage of, we can definitely save some money there too.\n[01:18 - 01:29] Speaker B: Great! I'll start looking into ways to save money in these areas and see how much we can actually save each month by creating a detailed spreadsheet to track our progress and identify additional saving opportunities."
+  },
+  {
+    "key": "SODA_PROCESSED--train--375003",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--375003.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: I think we need to break up.\n[00:02 - 00:09] Speaker B: Why? What's been going on between us that's made you feel this way? Have I done something specific to upset you or is it just a general feeling of distance?\n[00:03 - 00:10] Speaker A: What's wrong? I just feel like our relationship isn't what it used to be. I think it's time we both moved on.\n[00:10 - 00:18] Speaker B: I don't want to break up. Can't we try to fix whatever is wrong between us? Maybe we just need to communicate better or spend more time together.\n[00:18 - 00:23] Speaker A: I don't think there's anything left to fix, Eleanora. This is for the best.\n[00:23 - 00:25] Speaker B: I don't know if I can do this, Kashawn.\n[00:26 - 00:31] Speaker A: You don't have to do anything you don't want to. But I really believe this is what's best for both of us.\n[00:32 - 00:33] Speaker B: I'm not sure...\n[00:33 - 00:37] Speaker A: It's okay, Eleanora. We can still be friends."
+  },
+  {
+    "key": "SODA_PROCESSED--train--714054",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--714054.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: Axton, I'm so sorry. I never meant for any of this to hurt you or put you in danger, especially when I knew how vulnerable you were after everything that happened with your family and the loss you suffered.\n[00:04 - 00:11] Speaker B: It's not your fault, Kenia. I was the one who made the deal with the demon. I was the one who was foolish enough to think I could outsmart him.\n[00:13 - 00:26] Speaker A: But I should have been able to stop you. I should have been able to talk you  out of it before things got so bad, maybe by reminding you of all the good memories we shared and the people who still cared about you despite everything.\n[00:27 - 00:35] Speaker B: Kenia, you couldn't have known what I was going to do. And even if you had, there's no way you could have stopped me. I was determined to get my revenge, no matter the cost.\n[00:36 - 00:39] Speaker A: I should have tried harder. I should have done something.\n[00:40 - 00:46] Speaker B: Kenia, you did everything you could. You saved my soul from eternal damnation. I will never be able to repay you for that.\n[00:47 - 00:52] Speaker A: There's nothing to repay, Axton. I did what any friend would do.\n[00:53 - 00:57] Speaker B: Not many people would have been able to do what you did, Kenia. You're a hero."
+  },
+  {
+    "key": "SODA_PROCESSED--train--82144",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--82144.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: Hi, I'm here because I've been having some pain in this tooth and I'm hoping you can help me figure out what's going on since the discomfort has become quite persistent and is affecting my ability to eat properly.\n[00:05 - 00:12] Speaker B: Absolutely, let's take a look. (examines tooth) It looks like you have a cavity that needs to be filled. Do you remember when the pain started?\n[00:13 - 00:18] Speaker A: It started a few days ago, but it's been getting worse. What do I need to do?\n[00:18 - 00:28] Speaker B: We'll need to clean out the cavity and then fill it with a material that will restore the tooth's function and protect it from further decay. I'll make sure you're comfortable throughout the procedure.\n[00:28 - 00:29] Speaker A: Will it hurt?\n[00:29 - 00:40] Speaker B: The procedure itself is not painful, but you may feel some discomfort afterwards as your tooth adjusts to the filling. Are you okay with the possibility of some mild discomfort after the anaesthetic wears off?\n[00:41 - 00:46] Speaker A: Sorry, just to clarify, will I need to take any painkillers after the procedure?\n[00:46 - 00:53] Speaker B: You might need some over-the-counter pain relief, but it should be manageable. Now, are you okay with proceeding?\n[00:53 - 00:55] Speaker A: Yes, let's do it.\n[00:55 - 01:04] Speaker B: Great. I'm going to give you a local anaesthetic to numb the area before we begin. (injects anaesthetic) You should start feeling the effects in a few minutes.\n[01:04 - 01:07] Speaker A: Wow, I can't believe how quickly that worked!\n[01:07 - 01:12] Speaker B: Yes, it should take effect pretty quickly so we can get started. (begins cleaning out cavity)\n[01:12 - 01:14] Speaker A: Is everything looking okay?\n[01:14 - 01:18] Speaker B: Yes, so far so good! We're just about finished cleaning out the cavity now."
+  },
+  {
+    "key": "SODA_PROCESSED--train--466262",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--466262.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Jimmy. What's up?\n[00:01 - 00:03] Speaker B: Not much. Just hanging out.\n[00:04 - 00:08] Speaker A: Yeah, same here. So, what have you been up to lately?\n[00:08 - 00:18] Speaker B: Just the usual stuff. You know, school and trying to keep up with all the assignments while also making time for my part-time job at the local bookstore, which has been keeping me pretty busy these days.\n[00:11 - 00:16] Speaker A: Speaking of school, did you finish that big project we were assigned last week?\n[00:18 - 00:27] Speaker B: Oh, that! Yeah, I did manage to wrap it up yesterday. But I was also going to mention that I've been trying to balance that with some extracurricular stuff.\n[00:27 - 00:34] Speaker A: That's great! Balancing schoolwork with other activities can be tough. So, what are your plans for today?\n[00:34 - 00:40] Speaker B: Oh, not much. Just hanging out with my friends and stuff. You know how it goes, just trying to relax after a busy week.\n[00:41 - 00:45] Speaker A: Wait, are you meeting up with the usual crew or someone new today?\n[00:45 - 00:50] Speaker B: Just the usual crew. We might catch a movie or something. Well, have fun and I'll talk to you later!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--475793",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--475793.wav",
+    "model_output": "[00:00 - 00:10] Speaker A: Hi there, welcome to the party! I'm Nassir. It's great to see so many new faces here tonight and I'm really excited to get to know everyone who came out to celebrate with us.\n[00:03 - 00:08] Speaker B: Sorry to jump in, I'm (name). I just wanted to say, it's really nice to meet you too.\n[00:10 - 00:14] Speaker A: Nice to meet you as well! So, what brings you to the party?\n[00:14 - 00:19] Speaker B: I was invited by a friend. I didn't really know anyone here, but it sounded like it would be fun.\n[00:20 - 00:27] Speaker A: Yeah, it's been a great party so far. Have you had a chance to meet many interesting people or catch up with anyone you know?\n[00:28 - 00:33] Speaker B: Actually, not too many yet. I just got here a little while ago. But I've enjoyed talking to the people I have met so far.\n[00:34 - 00:41] Speaker A: That's great. Well, if you need someone to talk to, feel free to come find me. I'm always happy to chat with new people."
+  },
+  {
+    "key": "SODA_PROCESSED--train--619961",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--619961.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: I can't believe you're running for office. You're so inexperienced. I don't think you'll be able to effectively represent the people.\n[00:07 - 00:19] Speaker B: I understand your concerns, but I believe that I have the skills and the knowledge to do a great job by bringing fresh perspectives and new ideas to the table that will address the current challenges our community is facing in innovative ways.\n[00:13 - 00:19] Speaker A: But you've never even held an elected position before. How can we be sure that you'll be able to handle the pressure?\n[00:20 - 00:28] Speaker B: Pressure is something that I'm used to. I've been working in high-pressure environments for years. I know how to handle difficult situations and make decisions under stress.\n[00:29 - 00:35] Speaker A: That may be true, but this is different. This is politics. It's a whole different game.\n[00:35 - 00:42] Speaker B: Maybe so, but I'm confident that I can do it. And even if there are some bumps along the way, I'm willing to learn and grow from them.\n[00:42 - 00:45] Speaker A: I don't know...I just don't think you're ready for this.\n[00:46 - 00:56] Speaker B: Dimitri, I appreciate your concerns. But at the end of the day, it's up to the voters to decide whether or not they think I'm qualified. I believe that I am, and I hope that they'll see that as well."
+  },
+  {
+    "key": "SODA_PROCESSED--train--82370",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--82370.wav",
+    "model_output": "[00:00 - 00:15] Speaker A: Hey Keishawn, I saw what you did and I don't approve. You need to stop going into the girls' locker room without permission because it's a serious violation of their privacy and could potentially lead to disciplinary actions or even legal consequences.\n[00:06 - 00:10] Speaker B: Why are you making such a big deal out of this? It's just a locker room.\n[00:15 - 00:19] Speaker A: It's not appropriate and it makes the girls feel uncomfortable.\n[00:19 - 00:22] Speaker B: So what, they can just deal with it. It's not a big deal.\n[00:22 - 00:34] Speaker A: Yes, it is a big deal! They shouldn't have to deal with something like that, it's not  fair to put them in that position when they're just trying to change or shower in what should be a private and secure environment.\n[00:34 - 00:38] Speaker B: But why does it matter so much to you? It's not like anyone got hurt.\n[00:39 - 00:46] Speaker A: It matters because everyone deserves to feel safe and respected. And invading their space like that is crossing a line."
+  },
+  {
+    "key": "SODA_PROCESSED--train--706924",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--706924.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey Chace, I got your address from the school office. I hope that's okay.\n[00:05 - 00:07] Speaker B: Yeah, no problem. What's up?\n[00:07 - 00:11] Speaker A: Well, I just wanted to find you and ask if you wanted to be friends.\n[00:12 - 00:14] Speaker B: Friends? Why would you want to be friends with me?\n[00:15 - 00:32] Speaker A: Because I think you're a cool guy and I don't have many friends at school. Plus, we have a lot in common, like our interests in similar video games, the way we both enjoy playing basketball after school, and maybe even our sense of humor when it comes to those corny teacher jokes.\n[00:21 - 00:24] Speaker B: Wait, what do you mean by \"a lot in common\"? Like what exactly?\n[00:33 - 00:41] Speaker A: Well, we're both in the same grade and we both like video games and sports. And we both think school is kind of boring sometimes. Am I right?\n[00:41 - 00:49] Speaker B: Yeah, I guess so. But why do you want to be friends with me all of a sudden? We've never even talked much before, so this is kind of unexpected.\n[00:49 - 01:00] Speaker A: I know it seems sudden, but I just have a good feeling about you, I guess. Plus, like I said, I don't have many friends at school and it would be nice to have someone to hang out with.\n[01:01 - 01:04] Speaker B: Okay, sure. Why not? I could use a friend too."
+  },
+  {
+    "key": "SODA_PROCESSED--train--385362",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--385362.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi boss, how are you today?\n[00:02 - 00:06] Speaker B: Arlene, I'm doing well thanks. How are you settling in?\n[00:06 - 00:21] Speaker A: I'm loving it so far! I've only been working here a week but I feel like I'm really getting the hang of the workflow and understanding how different departments collaborate, especially when it comes to cross-functional projects and the weekly reporting process.\n[00:12 - 00:21] Speaker B: Sorry to jump in, but I wanted to ask—do you feel like you have all the resources you need? Sometimes new hires find they need something extra after their first week.\n[00:22 - 00:31] Speaker A: Actually, now that you mention it, I could use a bit more guidance on some of the software tools we use. But overall, everyone has been really helpful and welcoming.\n[00:32 - 00:39] Speaker B: That's great to hear! We're really happy to have you on board. I think you're going to be a great asset to our team. Keep up the good work!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1007617",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1007617.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, how are you doing?\n[00:02 - 00:04] Speaker B: Hey. I'm okay, I guess.\n[00:04 - 00:06] Speaker A: Just okay? What's going on?\n[00:07 - 00:21] Speaker B: It's just been a tough few weeks. My mom died and then my boyfriend broke up with me. I feel like I'm drowning in all this pain and I don't know how to get out of it, especially when I wake up every morning and the weight of everything just crashes down on me all over again.\n[00:12 - 00:20] Speaker A: Oh my God, I'm so sorry. That's a lot to handle all at once. Have you been able to talk to anyone about how you're feeling?\n[00:21 - 00:26] Speaker B: Thanks. It's just been really hard to deal with everything. I don't know how to make myself feel better.\n[00:26 - 00:52] Speaker A: Well, first of all, it's okay to feel sad and upset. You don't have to pretend like everything is fine when it's not. Just give yourself some time to grieve and heal. Secondly, try to focus on the positive things in your life right now. Think about the people who care about you and who are\n[00:53 - 00:57] Speaker B: Speaking of people who care, I really appreciate you being here for me. It means a lot.\n[00:57 - 01:06] Speaker A: Absolutely. It's important to remember that you're not alone in this and that there are people who care about you and want to help you through this tough time."
+  },
+  {
+    "key": "SODA_PROCESSED--train--295395",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--295395.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: Dad, I was reading this story about a man who was attacked by robbers and left for dead on the side of the road, bleeding and unconscious until a kind stranger came to his rescue despite the dangers involved in helping someone in such a vulnerable state.\n[00:05 - 00:06] Speaker B: That's terrible! Where did this happen?\n[00:14 - 00:20] Speaker A: It was in a parable, actually. A Samaritan came along and helped him, even though they were enemies.\n[00:20 - 00:28] Speaker B: That's really amazing. I'm glad there are still people in the world who are willing to help others, even if they're not related to them or don't know them personally.\n[00:29 - 00:35] Speaker A: Yeah, me too. But it's just sad that there are people out there who would do something like that in the first place.\n[00:35 - 00:42] Speaker B: Yeah, it is. But I guess you can't really understand what would drive someone to do something like that unless you've been in their shoes.\n[00:42 - 00:43] Speaker A: I guess not.\n[00:44 - 00:50] Speaker B: Well, I'm glad you're reading stories like this. It's important to learn about different cultures and how people live in different parts of the world.\n[00:51 - 00:53] Speaker A: Yeah, I think so too."
+  },
+  {
+    "key": "SODA_PROCESSED--train--674667",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--674667.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: You sure are sweaty.\n[00:01 - 00:03] Speaker B: Yeah, it's really hot out today.\n[00:04 - 00:14] Speaker A: It is. I'm trying to keep my cool, but it's hard when the sun is beating down like this without any shade or relief from the scorching temperatures that seem to be getting worse every minute.\n[00:07 - 00:13] Speaker B: Do you think it's going to get even hotter later? I mean, it's barely noon, and it's already unbearable.\n[00:15 - 00:20] Speaker A: It might, but I was going to say it's tough to stay cool when there's no breeze at all.\n[00:21 - 00:24] Speaker B: Yeah, I know what you mean. I sweat a lot myself.\n[00:24 - 00:28] Speaker A: Yeah, I can see that. You're really drenched.\n[00:28 - 00:39] Speaker B: Yeah, it's not fun. But at least we're not alone in this  heat. It seems like everyone is struggling today with the extreme weather conditions that have been persisting for weeks now without any sign of relief.\n[00:40 - 00:45] Speaker A: Speaking of which, do you think we should grab some cold drinks? It might help a bit.\n[00:45 - 00:48] Speaker B: Yeah, that's true. At least we can suffer together.\n[00:49 - 00:52] Speaker A: Ha, yeah. I guess that's one way to look at it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--541347",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--541347.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, thanks for having me over today.\n[00:02 - 00:12] Speaker B: No problem, I always enjoy your company. Did you find everything you were looking for in the store earlier? I know you were searching for something specific and I was curious if they had it in stock.\n[00:06 - 00:10] Speaker A: Oh, I did, thanks! I'm sorry if I was a little messy.\n[00:12 - 00:16] Speaker B: It's no big deal, don't worry about it. So what did you think of the gift I got you?\n[00:16 - 00:19] Speaker A: It's really nice, thank you. I love it.\n[00:19 - 00:28] Speaker B: I'm glad you like it. I saw it and thought  it would be perfect for you, especially since you mentioned needing something like it last week when we were discussing your upcoming project.\n[00:29 - 00:31] Speaker A: You know, that really means a lot to me. Thank you.\n[00:32 - 00:35] Speaker B: Of course. So what did you do today after you left my place?\n[00:36 - 00:39] Speaker A: Not much, just hung out with some friends and went to the park.\n[00:40 - 00:42] Speaker B: Sounds like fun. Did you have a good time?\n[00:43 - 00:48] Speaker A: Yeah, it was great. Thanks for having me over today, I had a blast.\n[00:49 - 00:52] Speaker B: I'm glad you did. We should do it again soon."
+  },
+  {
+    "key": "SODA_PROCESSED--train--371354",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--371354.wav",
+    "model_output": "[00:00 - 00:21] Speaker A: I understand how frustrating that can be. We'll see if we can fix it though. Has anything changed on your computer recently that might have caused the slowdown? For example, did you install any new programs or download any large files that could be taking up a lot of space or memory, especially ones that might run background processes or automatically update without your knowledge?\n[00:14 - 00:18] Speaker B: Actually, I did install a couple of new programs. Do you think they could be the cause?\n[00:22 - 00:32] Speaker A: It's possible. Some programs can really slow down your system if they're resource-intensive. But you mentioned you haven't downloaded anything large, right?\n[00:32 - 00:33] Speaker B: Yeah, nothing big.\n[00:34 - 00:39] Speaker A: Alright, let's focus on those new programs then. Do you remember which ones you installed?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--437704",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--437704.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Tyeisha!\n[00:01 - 00:03] Speaker B: Oh, hey Lolita. What's up?\n[00:03 - 00:06] Speaker A: Not much. Just wanted to say hi.\n[00:06 - 00:07] Speaker B: Hi!\n[00:07 - 00:09] Speaker A: So, what's new with you?\n[00:09 - 00:11] Speaker B: Not much. Just hanging out, doing my thing.\n[00:12 - 00:24] Speaker A: That's cool. I'm just chilling too. So, what have you been up to lately? Any new hobbies or activities that you've been particularly excited about or wanting to try out in the near future?\n[00:16 - 00:20] Speaker B: Actually, I wanted to ask, have you heard about the new club that's starting on campus?\n[00:24 - 00:30] Speaker A: No, I haven't. What's it about? I was just asking what you've been up to lately.\n[00:30 - 00:33] Speaker B: Just the usual stuff. You know, school and work and stuff.\n[00:34 - 00:39] Speaker A: Yeah, I know how that is. It can be pretty tough to balance everything sometimes.\n[00:40 - 00:49] Speaker B: Tell me about it! But it's all good though. I'm managing so  far, but it does get overwhelming at times when the deadlines start piling up and I have to juggle multiple projects simultaneously.\n[00:49 - 00:57] Speaker A: Sorry to cut in, but I just remembered, do you need any help with your workload? Maybe we can study together or something.\n[00:57 - 01:04] Speaker B: That's really nice of you! I'm managing so far. That's great! I'm sure you'll do fine. You're a smart guy.\n[01:04 - 01:06] Speaker A: Thanks Lolita!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--156618",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--156618.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: I wanted to go over my game plan with you and make sure I have everything I need so that I can focus on the task at hand and not get distracted by anything else during the event, especially since this is such an important competition with so many talented athletes participating.\n[00:07 - 00:12] Speaker B: Absolutely, Yoel. Let's make sure you're fully prepared. What's the first thing on your game plan?\n[00:17 - 00:24] Speaker A: Okay, well first off, I'll be doing a lot of stretching to make sure my muscles are loose and ready to go.\n[00:24 - 00:30] Speaker B: Stretching is always important before an event. Make sure you warm up your muscles properly so you don't pull anything.\n[00:31 - 00:34] Speaker A: Yeah, I definitely don't want to get injured before the big event.\n[00:35 - 00:39] Speaker B: Exactly. After you've stretched and warmed up your muscles, what's next on your game plan?\n[00:40 - 00:54] Speaker A: Well, I'm going to review the course layout and visualize myself running it  so I can anticipate any tricky sections and plan my pacing accordingly, while also considering different weather conditions that might affect my performance on race day.\n[00:55 - 01:00] Speaker B: Sorry to jump in, but do you already have a mental strategy for handling any unexpected obstacles on the course?\n[01:01 - 01:14] Speaker A: That's a good point. I haven't focused much on unexpected obstacles, but I think I should incorporate that into my visualization. After that, I'm just going to try to stay calm and relaxed until it's time to race.\n[01:14 - 01:22] Speaker B: Being calm and relaxed is important too because if you're too tense, your muscles will tighten up and you won't perform as well as you could have otherwise."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1182226",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1182226.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Wow, Harmonee, this is beautiful!\n[00:02 - 00:14] Speaker B: I'm glad you like it. I saw it and thought of you because it has that elegant yet simple design that you always seem to go for, with just the right balance of sophistication and playfulness that reflects your personality so well.\n[00:05 - 00:07] Speaker A: It's so pretty. I love the heart charm.\n[00:14 - 00:20] Speaker B: Yeah, I thought it was really cute. And it's nice that it's adjustable, so you can wear it at different lengths.\n[00:20 - 00:36] Speaker A: Yes, that's true. By the way, when you said you thought of me immediately, was there a specific reason?  Like, did it remind you of something we've done together or a place we've been, perhaps that weekend trip to the coast where we found those beautiful seashells?\n[00:36 - 00:43] Speaker B: I just felt that it matched your style perfectly. I'm definitely going to wear this a lot. Thank you so much for thinking of me!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--978945",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--978945.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: I'm so sorry, officer. I didn't realize I was going that fast.\n[00:05 - 00:17] Speaker B: It's okay, we all make mistakes. But you were speeding quite a bit and we have to issue a citation and ensure the situation is under control while also making sure you understand the seriousness of traffic violations for public safety.\n[00:09 - 00:13] Speaker A: I understand. Can I ask why you had to handcuff me?\n[00:17 - 00:25] Speaker B: It's procedure when we take someone into custody. You're not under arrest, but we need to restrain you so that you don't try to run away or hurt yourself.\n[00:26 - 00:30] Speaker A: Okay, that makes sense. Am I going to be taken to the station?\n[00:31 - 00:33] Speaker B: Yes, we'll need to process your paperwork there.\n[00:34 - 00:36] Speaker A: Will I be able to make a phone call?\n[00:36 - 00:39] Speaker B: Yes, you'll be able to make a phone call from the station."
+  },
+  {
+    "key": "SODA_PROCESSED--train--101351",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--101351.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: So, what do you think about the latest celebrity scandal?\n[00:03 - 00:15] Speaker B: I don't really know. I just feel bad for them, you [interrupt]— I mean, they must be going through a lot behind the scenes that we don't even know about, dealing with intense media scrutiny while trying to maintain some semblance of normalcy in their personal lives.\n[00:06 - 00:14] Speaker A: But don't you think it's kind of inevitable? I mean, they live such public lives, it's like their mistakes are magnified for everyone to see.\n[00:15 - 00:19] Speaker B: Yeah, I guess. It's just so fascinating to see their lives fall apart like that.\n[00:19 - 00:27] Speaker A: I know! It's like, no matter how much money they have, they can't escape the inevitable train wreck that is fame.\n[00:27 - 00:37] Speaker B: Exactly! It makes you wonder if it's all worth\n[00:39 - 00:49] Speaker A: Worth it? I wonder too. I mean, they have to deal with the constant pressure of living up to everyone's expectations and avoiding any sort of mishap or controversy.\n[00:50 - 00:54] Speaker B: Yeah, it seems like such a high price to pay for something that doesn't even last forever.\n[00:55 - 01:01] Speaker A: Absolutely! Sooner or later, everyone's 15 minutes are up and then they're quickly forgotten about."
+  },
+  {
+    "key": "SODA_PROCESSED--train--19531",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--19531.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi Jaeden. How are you doing today?\n[00:03 - 00:13] Speaker B: I'm doing fine, thank you. Just a little overwhelmed with everything that's been piling up lately, especially with school and extracurricular activities that I've committed to without realizing how much time they would take.\n[00:07 - 00:10] Speaker A: Overwhelmed? Is it schoolwork or something else?\n[00:14 - 00:20] Speaker B: Well, I've got a lot of homework and a project due soon. I'm just not sure how I'm going to get everything done.\n[00:20 - 00:22] Speaker A: Do you want me to help you with anything?\n[00:22 - 00:28] Speaker B: That would be great! Thank you so much! Let me get my stuff and we can start working on it together.\n[00:28 - 00:34] Speaker A: Jaeden, where do you want to begin? I was thinking we could tackle the most difficult task first.\n[00:35 - 00:39] Speaker B: Actually, before we dive in, I'm really struggling with my math homework. Could we start there?\n[00:40 - 00:42] Speaker A: Sure, let's take a look at it then."
+  },
+  {
+    "key": "SODA_PROCESSED--train--940934",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--940934.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, Sarah. I've been meaning to talk to you about something important.\n[00:04 - 00:06] Speaker B: What is it? You sound serious.\n[00:07 - 00:21] Speaker A: I am. I'm thinking about running for a local office position in the upcoming election because I've been deeply involved in community issues for years and have developed strong relationships with key stakeholders who could support my campaign.\n[00:10 - 00:14] Speaker B: Running for office? Wow, that's huge! What made you decide that?\n[00:21 - 00:44] Speaker A: Honestly, I just feel like I could make a difference. There's a lot of problems in our community that need to be addressed, and I feel like I could be a voice for the people. Plus, I really believe in public service and  the impact it can have on improving people's lives through thoughtful policy-making, community engagement, and creating sustainable solutions to long-standing issues.\n[00:45 - 00:55] Speaker B: Public service is definitely a noble cause, but have you thought about the challenges? It's not just about helping; it's also about navigating politics and dealing with a lot of stress.\n[00:55 - 01:02] Speaker A: Yeah, I know. But I'm willing to put in the work if it means that I can help make our community a better place.\n[01:03 - 01:10] Speaker B: Well, I think that's admirable. And if you really believe in it, then I support you. Just know that I'm here for you, no matter what happens."
+  },
+  {
+    "key": "SODA_PROCESSED--train--930750",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--930750.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Wow, I can't believe I got the job!\n[00:02 - 00:12] Speaker B: Congratulations, Aleena. You're a hard worker and you truly deserve this opportunity after all the effort you've put into developing your skills and preparing for this position.\n[00:06 - 00:11] Speaker A: Actually, I wanted to ask—do you think there will be opportunities for growth in this role?\n[00:12 - 00:17] Speaker B: Absolutely, there will be plenty of opportunities for growth. We're glad to have you on board.\n[00:17 - 00:31] Speaker A: I'm just glad I can finally stop worrying about money. This job will allow me to pay my rent and  start saving for the future while also being able to invest in professional development courses that will help me advance in my career.\n[00:32 - 00:37] Speaker B: Sorry to cut in, but I wanted to make sure—do you need any initial support with your relocation or anything else?\n[00:38 - 00:43] Speaker A: That's really considerate, but I've got that covered. Thank you, boss. I won't let you down."
+  },
+  {
+    "key": "SODA_PROCESSED--train--831005",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--831005.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Hey, so I've been thinking about this guy a lot lately and I can't figure out what his deal is.\n[00:06 - 00:07] Speaker B: What do you mean?\n[00:07 - 00:18] Speaker A: Well, we've been talking for a while now and things were going great. But lately it feels like he's pulling away. I don't know if I did something wrong or if he's just not that into me anymore.\n[00:19 - 00:20] Speaker B: Have you talked to him about it?\n[00:21 - 00:29] Speaker A: Yeah, but he just shrugs it off and says everything is fine. But I know something is up because he's been acting really distant lately.\n[00:30 - 00:41] Speaker B: Hmmm, that is strange. Do you think maybe he's seeing someone else or maybe dealing with some personal issues that he's not ready to talk about yet? Sometimes people withdraw when they're going through difficult times.\n[00:33 - 00:43] Speaker A: Wait, you think he might be seeing someone else? I mean, I hope not. That would suck if that was the case. But at this point, I'm not sure what to think anymore.\n[00:44 - 00:50] Speaker B: Well, you could always try talking to him again and see how he responds. If he's still acting distant, then maybe it's time to move on.\n[00:51 - 01:00] Speaker A: Yeah, you're right. I'll talk to him again and see what happens. But do you think I should bring up the possibility of him seeing someone else directly?\n[01:00 - 01:08] Speaker B: That's a tough one. It might make things awkward, but if it's really bothering you, it might be worth mentioning. Just be prepared for whatever answer he gives.\n[01:08 - 01:11] Speaker A: Thanks for the advice, I really appreciate it.\n[01:11 - 01:14] Speaker B: No problem, that's what friends are for. Good luck!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--857144",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--857144.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Evander, I'm sorry about what happened at the party last night.\n[00:04 - 00:09] Speaker B: It's not your fault, Dexter. I was the one who got too drunk and made a fool of myself.\n[00:09 - 00:25] Speaker A: Yeah, but I should have stopped you from drinking so much. I knew you were already pretty buzzed when we arrived and I didn't do anything to slow you down or suggest we take it easy, even though I could clearly see you were heading towards trouble with how quickly you were downing those shots.\n[00:18 - 00:25] Speaker B: Dexter, I appreciate your concern, but honestly, I made the choice to keep drinking. You didn't force me to do anything.\n[00:25 - 00:33] Speaker A: I know, but I feel like I could have done more to prevent it from getting out of hand. I should have been a better friend in that moment.\n[00:34 - 00:38] Speaker B: Look, seriously, it's not your fault. Let's just forget about it and move on.\n[00:38 - 00:42] Speaker A: Alright, if you're sure you're not mad at me.\n[00:42 - 00:48] Speaker B: I'm not mad at you, Dexter. I'm just embarrassed about what happened. Thanks for being a good friend and having my back."
+  },
+  {
+    "key": "SODA_PROCESSED--train--840566",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--840566.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: I don't know what to do, Sarah. I really like this guy, but he's in a relationship and I don't want to cause any drama or hurt anyone in the process, especially since I know how painful it can be to be on the receiving end of that kind of situation.\n[00:06 - 00:13] Speaker B: Wait, before you go on, have you considered if he might just see you as a friend? It could change how you approach this situation.\n[00:14 - 00:22] Speaker A: That's a good point. I guess I would like to pursue something, but at the same time, I don't want to hurt his current girlfriend's feelings.\n[00:22 - 00:35] Speaker B: Well then, you need to talk to him about it and see how he feels too. You both need to be on the same page before  you make any decisions that could affect all three of you emotionally and potentially damage existing relationships in ways that might be hard to repair.\n[00:36 - 00:41] Speaker A: But what if he says he likes me back? Wouldn't that make things even more complicated?\n[00:41 - 00:48] Speaker B: It could, but it's better to know where you both stand than to keep guessing. Talking it out is the only way to figure out the next steps.\n[00:49 - 00:55] Speaker A: Yeah, I guess you're right. I'll talk to him and see what he thinks. Thanks for the advice, Sarah.\n[00:55 - 00:56] Speaker B: Anytime!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--449689",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--449689.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey there. Mind if I lay down next to you?\n[00:03 - 00:04] Speaker B: No, go ahead.\n[00:04 - 00:08] Speaker A: Thanks. I needed a break from the sun. It's so hot today.\n[00:09 - 00:19] Speaker B: Yeah, it is. I'm trying to get a tan, but I don't want to get too dehydrated, so I'm keeping a bottle of water close by and reapplying sunscreen every hour to avoid any skin damage.\n[00:19 - 00:27] Speaker A: Burnt? Yeah, that's definitely a possibility out here. So what brings you to the beach today? Just wanting to relax?\n[00:27 - 00:34] Speaker B: Yeah, pretty much. I just finished up my summer classes and needed some time to myself before starting my new job next week.\n[00:34 - 00:44] Speaker A: That sounds rough. Are you excited for it? Or worried about how you'll balance everything with your personal life and other commitments you might have during this transitional period?\n[00:37 - 00:44] Speaker B: Nervous? A little bit of both, honestly. But mostly excited. It should be a good experience. And the pay is great, so that's a plus.\n[00:44 - 00:48] Speaker A: Definitely. Well, I hope you enjoy the rest of your day here.\n[00:49 - 00:50] Speaker B: Thanks. You too."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1097575",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1097575.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: So how's married life?\n[00:01 - 00:03] Speaker B: It's good. I'm really happy.\n[00:04 - 00:09] Speaker A: I'm glad to hear that. So, what's been the best part of it so far?\n[00:09 - 00:26] Speaker B: The best part has definitely been having someone to come home to every night. Someone who loves me unconditionally and is always there for me. Plus, the sex is pretty amazing, but more importantly, the emotional connection has deepened so much that I feel like we're truly building a life together that's full of love and mutual understanding.\n[00:18 - 00:25] Speaker A: Sorry to cut in, but I just remembered—how's the adjustment been? You know, living together and sharing space every day?\n[00:26 - 00:35] Speaker B: It's actually been smoother than I expected. We've had a few small disagreements, but nothing major. I was going to say, the sex is pretty great too. (laughs)\n[00:35 - 00:41] Speaker A: That sounds nice. I'm happy for you, Gionna. You deserve it after everything you've been through.\n[00:41 - 00:47] Speaker B: Thanks, Maryrose. I couldn't have done it without you. You've always been there for me, even when no one else was.\n[00:47 - 00:51] Speaker A: Of course. I love you, Gionna. You're like a brother to me.\n[00:51 - 00:53] Speaker B: I love you too, Maryrose."
+  },
+  {
+    "key": "SODA_PROCESSED--train--891432",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--891432.wav",
+    "model_output": "[00:00 - 00:10] Speaker A: I don't know, I just feel like something is off, like there's a piece of the puzzle that we're not seeing and it's making me increasingly uneasy the more I think about it.\n[00:02 - 00:07] Speaker B: What do you mean? Are you sensing something specific or is it just a general feeling?\n[00:10 - 00:14] Speaker A: I don't know, I just have a bad feeling about this whole situation.\n[00:15 - 00:19] Speaker B: Do you want to talk about it? Maybe we can figure out what's bothering you.\n[00:19 - 00:27] Speaker A: I'm not sure. I just feel like there's something we're overlooking, something that could change everything if we realized it.\n[00:27 - 00:31] Speaker B: Something we're missing? Like a detail we overlooked or something more significant?\n[00:31 - 00:36] Speaker A: Yeah, exactly. But whatever it is, it's not good.\n[00:36 - 00:40] Speaker B: Why do you say that? Is there something that happened recently that triggered this feeling?\n[00:41 - 00:46] Speaker A: Because everything is just too perfect. It's like we're being set up for something, but I don't know what.\n[00:47 - 00:53] Speaker B: That does seem suspicious. But maybe we're just overthinking things, or is there something specific that makes you feel this way?\n[00:53 - 00:56] Speaker A: Maybe...I don't know, I just can't shake this feeling."
+  },
+  {
+    "key": "SODA_PROCESSED--train--954404",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--954404.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, dad. I wanted to talk to you about something.\n[00:03 - 00:04] Speaker B: What is it, son?\n[00:04 - 00:05] Speaker A: I got a job!\n[00:06 - 00:08] Speaker B: That's great news! Where are you working?\n[00:08 - 00:23] Speaker A: I'm working at the grocery store down the street. It's not much, but it's a good starting point to gain some work experience and earn a bit of money while learning valuable customer service skills that could be useful in any future career path I might choose.\n[00:13 - 00:18] Speaker B: Actually, have you thought about how this job might fit into your long-term career goals?\n[00:24 - 00:38] Speaker A: Well, it's a start. I'm still figuring out my long-term plans. But for now, I just want to gain some experience. And one day, I want to save up and buy a house of my own. But I know I need to plan more carefully to achieve that.\n[00:39 - 00:46] Speaker B: That's an admirable goal. Just make sure you're also thinking about potential growth opportunities within the company or in the industry.\n[00:47 - 00:54] Speaker A: Absolutely, Dad. I will keep that in mind. But for now, I'm just happy to have a job and be able to take care of myself."
+  },
+  {
+    "key": "SODA_PROCESSED--train--790538",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--790538.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey Val, are you all packed for our camping trip?\n[00:03 - 00:08] Speaker B: Yeah, I think so. I have the tents, food, and clothes. Did you remember to pack your bag?\n[00:08 - 00:23] Speaker A: Yes, I did. I have everything we need. Are you sure you're ready for this? It's going to be a lot of fun, but also quite challenging with all the hiking and outdoor activities we have planned, especially since neither of us has much wilderness experience.\n[00:15 - 00:19] Speaker B: Actually, I just realized I might have forgotten the matches. Do you have any in your bag?\n[00:24 - 00:30] Speaker A: Oh, I didn't check for matches. I'll make sure to pack them. So, you were saying you were looking forward to it?\n[00:30 - 00:35] Speaker B: Yeah, I'm ready. I've been looking forward to it for a while. Thanks for planning it all out.\n[00:36 - 00:45] Speaker A: No problem. I know we both needed a break from work and life in general. It'll be nice to relax in nature for a few days and just unwind.\n[00:45 - 00:50] Speaker B: Speaking of relaxing, did we decide on any specific activities to do while we're there?\n[00:50 - 00:56] Speaker A: I was thinking we could go hiking and maybe do some fishing. But I haven't mentioned the exact schedule yet.\n[00:57 - 01:00] Speaker B: Definitely. So, what time are we leaving tomorrow morning?\n[01:01 - 01:07] Speaker A: Around 9am should be good. That will give us enough time to get there and set up camp before it gets dark.\n[01:08 - 01:10] Speaker B: Sounds perfect. See you then!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--468603",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--468603.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey! I haven't seen you in forever. How was your summer?\n[00:04 - 00:17] Speaker B: It was good! I went to Europe with my family and then we traveled around different cities, trying out local cuisines and exploring historical sites that dated back hundreds of years, which really gave me a new appreciation for European culture and history.\n[00:07 - 00:11] Speaker A: Wow, Europe! That sounds amazing. Which countries did you visit?\n[00:17 - 00:23] Speaker B: We went to France, Italy, and Spain. It was incredible. But I was asking about your summer—what did you do?\n[00:24 - 00:33] Speaker A: I stayed home and worked, but it was still fun. I hung out with my friends and we went to the beach a lot. So, what classes are you taking this semester?\n[00:34 - 00:37] Speaker B: I'm taking English, Math, History, and Science. You?\n[00:38 - 00:55] Speaker A: Same here. Did you hear that there's a new professor teaching English this semester? Apparently he's really tough but he's supposed to  be very knowledgeable and passionate about the subject, with years of experience teaching at prestigious universities and publishing groundbreaking research in literary studies.\n[00:56 - 01:00] Speaker B: Oh, I heard about that! Do you think he'll give us a lot of assignments right off the bat?\n[01:01 - 01:06] Speaker A: Probably, but I'm more concerned about his grading style. I heard he's really strict.\n[01:06 - 01:11] Speaker B: Yeah, that makes me nervous too. But even if he is tough, we'll get through it together, right?\n[01:11 - 01:12] Speaker A: Right!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--737726",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--737726.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: I'm so glad I was able to find a job here in Paris. This city is just beautiful with its stunning architecture, vibrant culture, and charming cafes that seem to be around every corner, each with their own unique character and history.\n[00:08 - 00:21] Speaker B: Thank you, Mallory. We're happy to have you on our team. So, tell me a little bit about your experience as a waitress, especially in busy environments like this one where we often have to manage large crowds during peak hours while maintaining excellent service standards.\n[00:22 - 00:47] Speaker A: Well, I've been working as a waitress for about six years now. I've worked in both restaurants and cafes. I've had a lot of experience taking orders and serving customers. And I just love the work itself. It's really fulfilling to make someone's day by providing great service and  a positive dining experience that they'll remember fondly and want to come back for, which is ultimately what builds customer loyalty and success for any establishment.\n[00:48 - 00:59] Speaker B: Sorry to cut in, but I'm curious—how do you handle difficult customers? It's something we encounter from time to time here, especially during the busy tourist seasons when people might be tired or stressed from traveling.\n[00:59 - 01:16] Speaker A: Handling difficult customers is definitely part of the job. I usually try to stay calm and listen to their concerns. It's important to make them feel heard and to find a solution that satisfies them while also maintaining the restaurant's policies and standards of service."
+  },
+  {
+    "key": "SODA_PROCESSED--train--731416",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--731416.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: I got your note.\n[00:01 - 00:03] Speaker B: Yes, I sent it to you specifically.\n[00:04 - 00:08] Speaker A: But why didn't you just call me and invite me to the party instead of sending a note?\n[00:09 - 00:18] Speaker B: I wanted to make sure that you knew that you were invited and that I was really hoping you could make it because I value your presence and think you'd bring so much energy and fun to the gathering.\n[00:12 - 00:17] Speaker A: Thinking of me? I appreciate that, but it still feels a bit impersonal.\n[00:19 - 00:23] Speaker B: I'm sorry if you feel that way. I didn't mean for it to come across like that.\n[00:23 - 00:31] Speaker A: It's just that, it would have been nice to know that I was actually invited instead of feeling like an obligation or an afterthought.\n[00:31 - 00:35] Speaker B: Afterthought, I understand. I'll make sure to be more direct next time.\n[00:35 - 00:38] Speaker A: Thank you. I just want to feel like I'm truly included.\n[00:39 - 00:41] Speaker B: I completely get that. I'll try to do better next time."
+  },
+  {
+    "key": "SODA_PROCESSED--train--418520",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--418520.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey there, officer. How's your day going?\n[00:02 - 00:07] Speaker B: Not too bad. Just doing my job and keeping the peace. What about you? What brings you out today?\n[00:07 - 00:24] Speaker A: I was just on my way home from work. I work down at the docks, so I usually take this route home. It's a bit of a shortcut, but it's always been pretty quiet around here, so I feel safe taking it even though some people say the neighborhood has been getting more dangerous lately.\n[00:17 - 00:23] Speaker B: Actually, I wanted to ask—how late do you usually work at the docks? We've noticed some increased activity in that area too.\n[00:24 - 00:31] Speaker A: I usually finish around 6 PM, but sometimes it can go later. Is there something specific happening around the docks?\n[00:32 - 00:43] Speaker B: Nothing concrete, just some reports of suspicious behavior. We're stepping up patrols in both areas, so just be sure to stay aware of your surroundings and report anything suspicious, okay?\n[00:43 - 00:46] Speaker A: Will do, officer. Thanks for looking out for us.\n[00:46 - 00:49] Speaker B: No problem. Just doing my job. Have a good night."
+  },
+  {
+    "key": "SODA_PROCESSED--train--158293",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--158293.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Romel, I'm so glad you're feeling better.\n[00:03 - 00:13] Speaker B: Yes, thank you. Your herbal remedy did the trick and I started feeling the effects almost immediately, which was such a relief after suffering through those terrible symptoms for nearly a week straight.\n[00:05 - 00:13] Speaker A: Sorry to interrupt, but I'm really curious—what made you decide to come and find me in the first place? We hardly knew each other.\n[00:14 - 00:27] Speaker B: Well, I'd heard that you were a skilled healer and I was desperate for help. Plus, I knew that you owed me a favor after I helped you out with that situation with your  brother last year when he was struggling to find work and I connected him with that job opportunity at the docks.\n[00:28 - 00:30] Speaker A: So it was just convenience then?\n[00:30 - 00:37] Speaker B: No, not at all. I really do appreciate everything you've done for me, and I also wanted to trust someone who I knew had a good heart."
+  },
+  {
+    "key": "SODA_PROCESSED--train--262975",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--262975.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: I'm sorry officer, I know I was speeding and I accept responsibility for my actions. It won't happen again because I've realized how irresponsible it was and I promise to be more mindful of speed limits from now on.\n[00:06 - 00:11] Speaker B: Krystal, you were going 15 miles over the speed limit. Do you know how dangerous that is?\n[00:12 - 00:17] Speaker A: Yes, officer. I'm sorry. I understand the danger, and it won't happen again.\n[00:17 - 00:31] Speaker B: Krystal, speeding is a serious offense. If you continue to speed, you could end up getting into a serious accident or even  cause harm to others on the road, especially in residential areas where children might be playing or pedestrians are crossing."
+  },
+  {
+    "key": "SODA_PROCESSED--train--193134",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--193134.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I'm done. I can't do this anymore.\n[00:03 - 00:04] Speaker B: What are you talking about?\n[00:04 - 00:16] Speaker A: My job. I hate it. I'm completely burned out and I can't find any motivation to continue working in this toxic environment that drains all my energy and creativity every single day.\n[00:07 - 00:11] Speaker B: Wait, are you serious? Quitting just like that? Have you thought this through?\n[00:16 - 00:21] Speaker A: Yes, I have. I can't keep doing this. It's soul-sucking.\n[00:22 - 00:30] Speaker B: So what are you going to do? Just give up and not work? That's not going to solve the underlying issue. You need a plan before making such a big decision.\n[00:30 - 00:34] Speaker A: I don't know! But I can't keep doing this. It's not worth it.\n[00:34 - 00:40] Speaker B: Lucy, you're being ridiculous. This is your life, you can't just throw it away because you're unhappy with your job!\n[00:40 - 00:43] Speaker A: I'm not happy with anything! My life sucks!\n[00:44 - 00:47] Speaker B: That's not true and you know it. You're just being dramatic.\n[00:48 - 00:52] Speaker A: No, I'm not. I'm miserable. And I'm done with this job."
+  },
+  {
+    "key": "SODA_PROCESSED--train--369090",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--369090.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I really think it would be best if you resigned.\n[00:03 - 00:13] Speaker B: I don't know, I'm not sure that's what I want to give up on so quickly. I've worked hard to get here and built meaningful relationships with my colleagues that I'm not ready to walk away from just yet.\n[00:06 - 00:16] Speaker A: Listen, Kiya, I think this is the best thing for you. You're obviously not happy here, and it's just going to get more difficult to find satisfaction if you stay in this environment.\n[00:16 - 00:20] Speaker B: But what about my career? This is all I've ever wanted to do.\n[00:20 - 00:26] Speaker A: We can find you something else. Something that will make you happier. You don't have to stay here and suffer.\n[00:27 - 00:27] Speaker B: I don't know...\n[00:28 - 00:32] Speaker A: Just trust me on this, okay? It's for the best."
+  },
+  {
+    "key": "SODA_PROCESSED--train--828152",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--828152.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Eason, I'm going to leave you if you don't do what I want.\n[00:03 - 00:16] Speaker B: What? No, please don't leave me! I'll do anything you want, just please don't make this harder for me because I genuinely care about our relationship and can't imagine my life without you in it. I promise I'll change everything about myself if that's what it takes.\n[00:07 - 00:14] Speaker A: Wait, before you say anything else, are you sure you're willing to do anything? This isn't just about lunch money.\n[00:17 - 00:20] Speaker B: Yes, Danica. Anything you want. Just please don't leave me.\n[00:21 - 00:25] Speaker A: Good, then you will give me your lunch money every day and do my homework for me.\n[00:26 - 00:29] Speaker B: Yes, Danica. Anything you want. Just please don't leave me.\n[00:29 - 00:31] Speaker A: And you will also give me your allowance.\n[00:32 - 00:37] Speaker B: Yes, Danica. But what about the other thing you mentioned earlier? What else do you want me to do?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--742899",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--742899.wav",
+    "model_output": "[00:00 - 00:19] Speaker A: Well, I invented this thing called the telephone. It's a machine that you can use to talk to someone else even if they're not in the same room as you, which I think could really change how we communicate in the future by eliminating the need for physical proximity and enabling instant conversations across vast distances.\n[00:08 - 00:14] Speaker B: Wait, did you just say you invented the telephone? That's huge! How did you come up with that idea?\n[00:19 - 00:37] Speaker A: Yeah, it just came to me when I realized how inconvenient it was to communicate over long distances. So, the telephone allows you to speak into one part of the machine, and your voice is carried through wires to the other person. They can then hear your voice coming out of another part of the machine.\n[00:37 - 00:47] Speaker B: Wow, that's amazing! I can't believe you invented something like that. But, do you think people will actually use it? I mean, it sounds revolutionary, but will they understand how to use it?\n[00:47 - 01:00] Speaker A: I know, it's pretty cool. I think it will change the way people communicate, but you're right—getting people to adopt it might take some time. I'm hoping that once they see how easy and useful it is, it will catch on quickly.\n[01:00 - 01:03] Speaker B: I'm sure it will. It's a great invention."
+  },
+  {
+    "key": "SODA_PROCESSED--train--126313",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--126313.wav",
+    "model_output": "[00:00 - 00:10] Speaker A: Wow, you're really good at tennis! I've never seen anyone hit the ball so consistently with such power and precision while maintaining perfect form and footwork throughout the entire match.\n[00:04 - 00:11] Speaker B: Oh, thanks! By the way, do you have any specific areas you're struggling with? Maybe I can give you some tips right now.\n[00:11 - 00:18] Speaker A: Actually, my backhand needs a lot of work. I've been trying to improve it, but it just doesn't feel right.\n[00:18 - 00:28] Speaker B: It's not as easy as it looks. It takes a lot of practice and dedication to become good at tennis. But I think you have potential. With some more practice, you could be really good too.\n[00:28 - 00:34] Speaker A: That's what I'm hoping for. I really enjoy playing, but I still need to work on my skills.\n[00:34 - 00:39] Speaker B: Well, if you ever need any help or tips, feel free to ask me. I'd be happy to help you out."
+  },
+  {
+    "key": "SODA_PROCESSED--train--852467",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--852467.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Thank you so much for all your help, Saquan. I really appreciate it.\n[00:04 - 00:12] Speaker B: Don't mention it. I'm just glad I could be of assistance and help make your project come together so successfully. It's always nice to help out a friend.\n[00:07 - 00:14] Speaker A: Actually, I wanted to repay you for being so kind to me, so I did some research and found out that your birthday is coming up soon.\n[00:14 - 00:22] Speaker B: That's right, it is! How did you find out about my birthday when I've been so careful not to mention it around the office? I don't think I've told anyone before.\n[00:22 - 00:30] Speaker A: I looked it up. Anyway, I wanted to get you a present, but I'm not sure what you would like. Do you have any ideas?\n[00:31 - 00:34] Speaker B: Well, I've been wanting a new set of golf clubs for a while now.\n[00:34 - 00:37] Speaker A: That sounds like a great idea! I'll get you some then.\n[00:38 - 00:41] Speaker B: Thank you, Mylee. You didn't have to go to all this trouble for me.\n[00:41 - 00:50] Speaker A: It's no trouble at all. Like I said, I wanted to repay you for everything you've done for me. So consider this my early birthday present to you.\n[00:50 - 00:52] Speaker B: Thank you, Mylee. You're too kind."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1001071",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1001071.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, John. How's everything going?\n[00:03 - 00:12] Speaker B: Things are going well. Business is good. We're making a lot of progress with our current projects and the team is really coming together to deliver exceptional results for our clients.\n[00:06 - 00:15] Speaker A: Sorry to jump in, but do you think we should reinvest some of that profit back into the business, maybe in marketing or expanding our product line?\n[00:15 - 00:25] Speaker B: That's actually a great idea. Reinvesting could definitely help us grow even more. I was going to say we're making a lot of money, but putting some of it back into the business could really set us up for long-term success.\n[00:26 - 00:33] Speaker A: Absolutely. I'm happy to hear that. I've always wanted to own my own business and I'm glad that it's doing well.\n[00:33 - 00:44] Speaker B: Me too. I'm glad we're partners. We make a great team, especially when it comes to brainstorming new ideas and\n[00:46 - 00:56] Speaker A: Speaking of our partnership, have you thought about our roles as we scale? Maybe we should start defining them more clearly to avoid any confusion down the road.\n[00:56 - 01:06] Speaker B: That's a good point. We do need to clarify our roles as we grow. I was saying we make a great team, and I think part of that is ensuring we're both clear on our responsibilities.\n[01:06 - 01:09] Speaker A: Exactly. Thanks, John. I appreciate your support.\n[01:10 - 01:15] Speaker B: You're welcome. I know you've worked hard to make this business a success. You deserve it.\n[01:15 - 01:17] Speaker A: Thanks. I appreciate that."
+  },
+  {
+    "key": "SODA_PROCESSED--train--341205",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--341205.wav",
+    "model_output": "[00:00 - 00:20] Speaker A: Mom, I know you're going to be really mad at me, but I just can't take it anymore. I'm tired of being bullied at school. I'm tired of feeling like I don't belong anywhere. I just want to get away from all this pain and confusion that's been building up inside me for months now, making it impossible to focus on anything positive in my life.\n[00:13 - 00:20] Speaker B: Danny, wait! What do you mean by \"get away\"? Are you thinking of doing something drastic? You can't just leave like this without talking it through.\n[00:21 - 00:36] Speaker A: I don't know, Mom. I just feel like running away from everything. I know you mean well, but it's just not enough. I'm not like the other kids at school. I don't fit in anywhere. And no matter how many times you tell me that it'll get better, it never does.\n[00:37 - 00:50] Speaker B: Danny, honey...you're just going through a tough time right now. It'll pass, I promise. Just give it a little more  time and try to focus on the things you enjoy, like your art and music, because those are the parts of you that truly shine and make you special.\n[00:50 - 00:58] Speaker A: Mom, time isn't going to fix this! You don't understand—this isn't just a phase. I'm sorry, but I have to go.\n[00:58 - 01:01] Speaker B: Danny! Come back here! Don't you dare walk out on me!\n[01:02 - 01:03] Speaker A: *keeps walking*\n[01:04 - 01:06] Speaker B: *runs after her*"
+  },
+  {
+    "key": "SODA_PROCESSED--train--263928",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--263928.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, boss. I've got some good news and some bad news.\n[00:04 - 00:05] Speaker B: What's the good news?\n[00:05 - 00:23] Speaker A: The good news is that we've found a large oil reserve. It looks like there's a lot of oil here, and we should be able to extract it relatively easily with the current technology we have, especially since our new drilling equipment has proven to be highly efficient in similar geological conditions.\n[00:14 - 00:18] Speaker B: Hold on—when you say 'a lot of oil,' do we have any estimates on the volume?\n[00:24 - 00:34] Speaker A: We estimate it's in the range of several million barrels, which is why it's such a significant find. But I was going to mention that it should be relatively easy to extract.\n[00:34 - 00:38] Speaker B: Excellent! This is great news for the company. What's the bad news?\n[00:39 - 01:01] Speaker A: The bad news is that this reserve is located in a very remote area. It's going to be expensive to set up operations here, and it will be difficult to  manage the logistics of getting the necessary equipment and workforce to the site, not to mention the environmental impact assessments and regulatory approvals we'll need to secure before we can even begin construction.\n[01:02 - 01:07] Speaker B: Expensive in terms of infrastructure, I assume? Are we talking about new roads, pipelines, or both?\n[01:08 - 01:19] Speaker A: Yes, exactly. We would need to build new roads and pipelines, which adds to the complexity. I was also going to say it will be difficult to transport the oil once we extract it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--277322",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--277322.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: What are you talking about? I didn't do anything to you.\n[00:04 - 00:18] Speaker B: You know exactly what I'm talking about! You made that horrible joke about me in front of everyone and it was so humiliating! I can't believe you would do something like that to embarrass me like that, especially in front of our colleagues who now probably think less of me because of your insensitive remarks.\n[00:12 - 00:19] Speaker A: Look, I'm sorry if you were offended by the joke, but I didn't mean it in a bad way. I was just trying to be funny.\n[00:19 - 00:36] Speaker B: Well, it wasn't funny. It was hurtful and mean. And it's not like this is the first time you've done something like this to me. You always make fun of me and belittle me in front of other people and it's really  making me feel like you don't respect me as a person or value our friendship enough to consider my feelings before speaking.\n[00:37 - 00:45] Speaker A: I don't mean to hurt your feelings, Deborah. I'm just teasing you because I care about you and I want to make sure you don't take yourself too seriously.\n[00:45 - 00:51] Speaker B: Well, maybe I don't want to be teased all the time! Maybe I just want to be treated with respect and kindness!\n[00:51 - 00:57] Speaker A: Fine, Deborah. If that's what you want, then I'll stop teasing you. But can we still be friends?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--144310",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--144310.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Mom. I'm home!\n[00:01 - 00:03] Speaker B: Hey, welcome home! How was your trip?\n[00:04 - 00:15] Speaker A: It was good. I'm glad to be back I missed everyone here, and it's nice to be home where I can relax in my own space and enjoy some home-cooked meals after eating out for so long.\n[00:07 - 00:11] Speaker B: Oh, before I forget, did you manage to take any pictures? I'd love to see them!\n[00:16 - 00:25] Speaker A: Yes, I did! I got some great shots, especially of the snow. Speaking of which, the weather was great. I got to see the snow for the first time.\n[00:26 - 00:28] Speaker B: That sounds like a lot of fun. What did you do while you were there?\n[00:29 - 00:39] Speaker A: I went sledding, ice skating, and I built a  snowman, which was probably the best part because I made it look just like our family dog with sticks for ears and a carrot nose.\n[00:40 - 00:45] Speaker B: Wait, ice skating? How did that go? I remember you were a bit nervous about it.\n[00:46 - 00:52] Speaker A: It was tricky at first, but I got the hang of it! And I also built a snowman, which was really fun."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1080342",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1080342.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: I don't trust the police. I think they're corrupt and that they abuse their power to intimidate and control people, rather than protect them, especially in marginalized communities where systemic issues seem to go unchecked for generations.\n[00:04 - 00:11] Speaker B: Sorry to jump in, but can you share what specifically led you to feel this way? Was it a personal experience or something else?\n[00:14 - 00:23] Speaker A: I've seen too many stories in the news about police officers using excessive force, or planting evidence to frame someone. It's just not right.\n[00:23 - 00:29] Speaker B: Well, I can assure you that not all police officers are like that. We're here to help people and keep them safe.\n[00:29 - 00:39] Speaker A: That's what they all say, but I don't believe it. There's no way I'm going to just blindly trust the police when there's so much evidence against them.\n[00:39 - 00:41] Speaker B: What would it take to change your mind?\n[00:41 - 00:51] Speaker A: I don't know...maybe if I saw some real proof that the police could be trusted, then maybe my opinion would change. But until then, I'm not going to put my faith in them."
+  },
+  {
+    "key": "SODA_PROCESSED--train--49462",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--49462.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hey dad.\n[00:01 - 00:02] Speaker B: Hey son, how are you doing?\n[00:03 - 00:14] Speaker A: I'm good. Just studying for my entrance exam and trying to cover all the important topics that might appear in the test, especially focusing on my weaker subjects to make sure I'm fully prepared.\n[00:09 - 00:15] Speaker B: That's great! I know you've been working hard, and I'm proud of the dedication you've shown. You're going to do great.\n[00:15 - 00:24] Speaker A: Dad, I really appreciate that, but I'm starting to get a bit anxious about the test. Do you have any advice on how to stay calm?\n[00:24 - 00:32] Speaker B: Absolutely. Just focus on what you know, take deep breaths, and remember that it's just one test. You've prepared well, so trust yourself.\n[00:32 - 00:36] Speaker A: Yeah, I guess you're right. Thanks, dad."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1080121",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1080121.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey boss, do you have a minute?\n[00:02 - 00:03] Speaker B: Yeah, what's up?\n[00:04 - 00:22] Speaker A: I just wanted to talk to you about how I can improve my work. I'm always looking for ways to make my work better and more efficient. Do you have any suggestions or feedback that could help me focus on the right areas, particularly when it comes to prioritizing tasks and collaborating more effectively with the team?\n[00:13 - 00:21] Speaker B: Before you finish, I noticed that sometimes your work can be a bit scattered. If you could get it more organized, it would be easier for everyone to understand and follow.\n[00:22 - 00:34] Speaker A: Oh, I see what you mean. I'll definitely try to be more organized from now on. But I was also going to ask if you had any specific suggestions on tools or methods to help with that.\n[00:34 - 00:39] Speaker B: Sure, we can look into some project management tools that could help you streamline your tasks."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1151383",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1151383.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey there. I couldn't help but notice that you look like you're struggling. Are you homeless?\n[00:05 - 00:23] Speaker B: Yes, I am. I've been homeless for a few months now and it's been really tough. I don't have any family or friends who can help me out, so I've been relying on the kindness of strangers. But it's hard to find consistent support and a safe place to stay especially during the winter months when temperatures drop dangerously low and basic necessities become even more scarce.\n[00:15 - 00:22] Speaker A: I'm sorry to interrupt, but I just wanted to ask, have you tried reaching out to any local shelters or organizations for help?\n[00:23 - 00:31] Speaker B: I have, but most of them are full or have long waiting lists. It's really discouraging. Anyway, you were saying something about finding people who are willing to help?\n[00:32 - 00:39] Speaker A: Well, I'm willing to help. I can offer you a place to stay for the night and some food to eat. Would that be helpful?\n[00:39 - 00:42] Speaker B: Oh, yes! That would be very helpful. Thank you so much!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--934782",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--934782.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Do you ever feel like things could be better? That we could do more to make a difference in the world?\n[00:05 - 00:12] Speaker B: Of course, I think everyone feels that way at some point. Why do you ask? Is there something specific on your mind?\n[00:12 - 00:19] Speaker A: Sorry, I just thought of something—do you think it's because we're too focused on our own lives that we don't see the bigger picture?\n[00:20 - 00:35] Speaker B: That's definitely part of it. We get caught up in our daily routines and forget how much potential we have as human beings to create change and make the world a better place. But it's not just that other people aren't doing their part, but that we ourselves aren't doing enough. We need to be the change we want to see in the world.\n[00:36 - 00:56] Speaker A: You're right, we do have a lot of power to make positive changes in the world. But it's not always easy to know where to start or what we can realistically achieve, especially when the problems seem so overwhelming and complex that it's hard to see how individual actions could possibly make a dent in such massive global issues.\n[00:45 - 01:07] Speaker B: Exactly! And that's why starting small is so important. If each of us does our part, no matter how small, it can add up to make a big difference. Just imagine if everyone started making an effort to recycle or reduce their carbon footprint. It would have a huge impact on the planet. And it's not just about taking action on big global issues either—even something as simple as being kinder to those around us can make a difference.\n[01:08 - 01:16] Speaker A: You're right, Yosef. We need to remember that every person has the ability to create change. Thank you for reminding me of that!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--171463",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--171463.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: \"I don't care if you don't like them. I like them because they're different and they have a unique style that stands out from mainstream fashion while still maintaining a sense of elegance and sophistication.\"\n[00:03 - 00:05] Speaker B: \"But they look so weird.\"\n[00:11 - 00:18] Speaker A: \"So what? I'm not looking for your approval, I'm just telling you that I appreciate their distinctiveness.\"\n[00:19 - 00:23] Speaker B: \"Wait, before you go on, can you explain what exactly you find unique about them?\"\n[00:23 - 00:33] Speaker A: \"Sure, I think their design and color scheme are unlike anything I've seen before. But anyway, I'm not looking for your approval, I'm just telling you why I like them.\"\n[00:33 - 00:36] Speaker B: \"Fine, whatever. I still think they look weird.\"\n[00:36 - 00:38] Speaker A: \"Whatever, I don't care what you think.\""
+  },
+  {
+    "key": "SODA_PROCESSED--train--735517",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--735517.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Sarah. How are you doing today?\n[00:03 - 00:14] Speaker B: I'm doing good. Just hanging out at home, trying to stay cool in this hot weather. It's been unbearable lately with temperatures reaching record highs and the humidity making it feel even worse than it actually is.\n[00:07 - 00:13] Speaker A: Oh, speaking of staying cool, have you tried those new portable fans? They're supposed to be really effective.\n[00:14 - 00:20] Speaker B: No, I haven't tried them yet. But with this heat, I might have to look into it. So, what have you been up to lately?\n[00:21 - 00:31] Speaker A: Not much. Just hanging out with friends and family, going to the\n[00:33 - 00:38] Speaker B: Oh, that reminds me! I wanted to ask if you've been to that new beach spot everyone's talking about?\n[00:38 - 00:48] Speaker A: No, I haven't been there yet. I was actually going to say I've been going to the beach a lot, but now I'm curious about this new spot. What's it like?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--49720",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--49720.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: It's so important to always be true to yourself. You can't grow as a person if you're not honest with your own feelings and desires, especially when facing difficult decisions or challenging situations that test your core values and beliefs.\n[00:05 - 00:11] Speaker B: Sorry to jump in, but do you think people struggle with this because of societal pressures or personal insecurities?\n[00:15 - 00:31] Speaker A: I think it's a combination of both. Societal pressures can definitely make it harder for people to be true to themselves. But personal insecurities play a big role too. So many people try to be someone they're not, and it just doesn't lead to genuine happiness or fulfillment.\n[00:32 - 00:41] Speaker B: I completely agree! It's impossible to grow if you're not being honest with yourself. But I'm curious, what do you think is the first step for someone to start being more honest with themselves?\n[00:41 - 01:03] Speaker A: The first step is self-reflection. Taking the time to understand your true feelings and desires is crucial. People need to realize that they can't change who they are, they can only grow and learn from their experiences. Trying to be someone else is just a  waste of time and energy that could be better spent on personal development and building authentic relationships with others."
+  },
+  {
+    "key": "SODA_PROCESSED--train--846418",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--846418.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Can you tell me more about the geysers here? They're amazing!\n[00:04 - 00:29] Speaker B: Sure, the geysers are one of the main attractions of Yellowstone. There are over 500 of them in the park. They're formed when hot water and steam rise up through cracks in the earth's surface. The heat from the water and steam can sometimes cause the rocks to break apart, which creates a hole that allows the water and steam to escape with great force, leading to those spectacular eruptions you see, and the pressure buildup can sometimes create new geysers over time as the underground plumbing system evolves.\n[00:20 - 00:28] Speaker A: Sorry to cut in, but I'm curious—are these geysers dangerous to be around? I mean, with all that hot water and steam?\n[00:30 - 00:46] Speaker B: Yes, they can be dangerous if you get too close. The water can be extremely hot, and the steam can cause burns. That's why the park has boardwalks and viewing areas to keep visitors at a safe distance. But as I was saying, the water and steam escape through those holes, and that's what creates the geyser eruption.\n[00:46 - 00:50] Speaker A: That makes sense. So, do you have a favorite geyser?\n[00:51 - 01:03] Speaker B: Yes, I do. My favorite geyser is the Excelsior Geyser Crater. It's the biggest geyser in Yellowstone and it's also one of the most active. It erupts about every 20 minutes or so and can shoot water up to 400 feet in the air!\n[01:03 - 01:07] Speaker A: Wow, that's incredible! I would love to see that someday."
+  },
+  {
+    "key": "SODA_PROCESSED--train--187351",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--187351.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: So, what do you think about the situation we're in?\n[00:03 - 00:11] Speaker B: Honestly, I'm not sure. It's a lot to process, and I feel like we're dealing with so much at once that it's becoming overwhelming to handle everything by ourselves.\n[00:05 - 00:13] Speaker A: Sorry to interrupt, but do you think we should talk to someone else about this? Maybe getting another perspective could help.\n[00:13 - 00:20] Speaker B: That's a good idea, but I think we also need to stay strong ourselves. We'll get through this if we keep supporting each other like we always have.\n[00:21 - 00:28] Speaker A: Together. Yes, I believe that too. I don't know what I would do without you, Aryah. You've always been there for me.\n[00:29 - 00:32] Speaker B: And I will always be there for you, Tatiyana. You're my best friend.\n[00:33 - 00:35] Speaker A: Thank you. I appreciate that."
+  },
+  {
+    "key": "SODA_PROCESSED--train--562877",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--562877.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Lily, I've noticed that the Chinese culture is very different from the American culture.\n[00:04 - 00:24] Speaker B: Yes, that's true. The Chinese culture is very ancient and has a lot of traditions that are unique to our country. For example, we always greet each other with a smile and have a lot of respect for our elders, especially in family settings or during important festivals like the Lunar New Year when we perform special rituals and ceremonies to honor our ancestors and maintain family bonds.\n[00:15 - 00:26] Speaker A: Sorry to jump in, but when you say \"respect for elders,\" how does that usually manifest in daily life? I'm curious because in America, the approach is quite different.\n[00:26 - 00:48] Speaker B: That's a great question. Respecting elders in China often means listening to their advice, giving them priority in social situations, and even using specific language to show deference. But I was also going to mention that this respect is deeply rooted in Confucian values, which have shaped much of our social interactions. For example, in a family setting, the eldest member usually has the final say in important decisions.\n[00:49 - 00:57] Speaker A: I see. I think it would be interesting to experience the Chinese culture firsthand. Do you think I could visit your country sometime?\n[00:57 - 01:01] Speaker B: Of course! I would love to show you around China. I think you would really enjoy it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--984123",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--984123.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, can I talk to you for a second?\n[00:03 - 00:03] Speaker B: What is it?\n[00:04 - 00:06] Speaker A: I wanted to talk to you about getting fired.\n[00:06 - 00:22] Speaker B: Amonte, you know why you were fired. You were constantly doing things without thinking and it led to accidents. I can't have someone working for me who isn't paying attention to detail and following procedures closely because this is a high-risk environment where mistakes could endanger lives and damage expensive equipment.\n[00:14 - 00:22] Speaker A: I understand that, but I've really been working on being more careful. I know I messed up, but can't you give me another chance?\n[00:22 - 00:25] Speaker B: I'm sorry, Amonte, but no.\n[00:25 - 00:27] Speaker A: Please, I need this job.\n[00:27 - 00:38] Speaker B: Amonte, I  wish I could help, but I have to think about the safety and well-being of the entire team and maintain professional standards that ensure everyone can work without unnecessary risks.\n[00:38 - 00:41] Speaker A: I really need this, just one more chance.\n[00:41 - 00:42] Speaker B: Fine."
+  },
+  {
+    "key": "SODA_PROCESSED--train--96343",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--96343.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Hey, I'm sorry I'm late. I had a flat tire on the way in and didn't have a spare.\n[00:05 - 00:13] Speaker B: That's alright, these things happen. Are you sure you don't need any help with your car? I know a great mechanic nearby who could take a look at it if you'd like.\n[00:07 - 00:11] Speaker A: Actually, yeah, I'm fine. Just a little shaken up.\n[00:13 - 00:25] Speaker B: Well, take the rest of the day off to relax and get your bearings. We can't have you coming in to work all  stressed out and unable to focus on your tasks, especially when we have that important client presentation coming up next week.\n[00:25 - 00:30] Speaker A: Frazzled, I understand. Thank you, boss. I appreciate it.\n[00:30 - 00:35] Speaker B: No problem at all. Get some rest and we'll see you back here tomorrow bright and early."
+  },
+  {
+    "key": "SODA_PROCESSED--train--740576",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--740576.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Good morning, Mr. Nguyen! I hope you're doing well today.\n[00:03 - 00:05] Speaker B: I'm doing well, thank you. How are you?\n[00:05 - 00:16] Speaker A: I'm feeling great today! I have a lot of energy and I'm excited to tackle some new projects and challenges that will help us improve our workflow and achieve better results for our clients.\n[00:10 - 00:16] Speaker B: Sorry to interrupt, but I wanted to ask if there's anything specific you're looking forward to today?\n[00:17 - 00:33] Speaker A: I was going to say I'm excited to start my day. Actually, I'm looking forward to a team meeting we have later. I love working here. It's a great environment and the people are really  supportive and collaborative, always willing to share their expertise and help each other grow professionally.\n[00:34 - 00:41] Speaker B: I'm glad to hear that! Speaking of the team, do you think we should plan more team-building activities to maintain this positive environment?\n[00:42 - 00:49] Speaker A: That's a great idea! We could definitely benefit from more team-building activities. We're happy to have you on our team."
+  },
+  {
+    "key": "SODA_PROCESSED--train--775321",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--775321.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Adolfo! I'm so glad to see you!\n[00:03 - 00:13] Speaker B: Aurelius! I've missed you so much! It's been too long since we last hung out and I've been wanting to tell you all about my recent trip to the mountains where I discovered this amazing little coffee shop.\n[00:05 - 00:13] Speaker A: I know, right? It's like time just flies by. I've been meaning to call you but things have just been so crazy lately.\n[00:13 - 00:16] Speaker B: What's been going on? Work, family, or something else?\n[00:16 - 00:28] Speaker A: A bit of everything, honestly. Work has been hectic, and on top of that, I've had some personal stuff going on too. But I'm doing alright, considering. Just trying to take things one day at a time.\n[00:28 - 00:33] Speaker B: That's the best way to do it. Hey, do you want to go get coffee or something? Catch up?\n[00:33 - 00:36] Speaker A: Yeah, that sounds great. Let's go."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1050248",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1050248.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hi! How are you today?\n[00:02 - 00:04] Speaker B: I'm doing well, thank you. How are you?\n[00:04 - 00:08] Speaker A: I'm doing great, thanks for asking. What can I do for you?\n[00:08 - 00:13] Speaker B: Well, I was wondering if you had any advice on how to handle a difficult professor.\n[00:13 - 00:26] Speaker A: Absolutely. I'm happy to help. Can you tell me a little bit more about the specific issues you're facing with him, including how his behavior affects your learning and what approaches you've already tried to resolve the situation?\n[00:17 - 00:24] Speaker B: Sorry to jump in, but he's really hard to understand and he's always changing his mind about things. It's really frustrating.\n[00:27 - 00:30] Speaker A: Yeah, that sounds tough. Have you tried talking to him about it?\n[00:31 - 00:37] Speaker B: Yeah, I've tried talking to him but it doesn't seem to help. He just gets angry and tells me I'm not doing it right.\n[00:37 - 00:54] Speaker A: Hmm... well, have you tried emailing him or setting up a meeting outside of class? Sometimes that can be helpful in getting a better understanding of  his expectations and finding a way to meet them through clear communication and establishing mutual understanding about course requirements.\n[00:55 - 01:00] Speaker B: I did, but it hasn't really helped either. He just gets annoyed and says I'm wasting his time.\n[01:00 - 01:13] Speaker A: Okay, well let me think for a minute... have you talked to any other students in the class? Maybe they've had similar experiences or might have some advice on how to deal with the situation.\n[01:13 - 01:19] Speaker B: Yeah, I've talked to some other students but nobody seems to be having the same problem as me so I don't know what else to do...\n[01:20 - 01:24] Speaker A: Well, let me see if I can find something in our resources that might be helpful..."
+  },
+  {
+    "key": "SODA_PROCESSED--train--603030",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--603030.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Wow, Sarah, this place is incredible! I've never seen anything like it before.\n[00:05 - 00:08] Speaker B: Yes, it's amazing, isn't it? It's called the Secret Garden.\n[00:09 - 00:21] Speaker A: The Secret Garden? What a magical place! How did you discover it while wandering through the dense forest paths that seem to lead nowhere, only to stumble upon this hidden paradise completely by accident?\n[00:13 - 00:19] Speaker B: Sorry to jump in, but I just realized—how safe is this area? I mean, is it okay to be here alone?\n[00:21 - 00:31] Speaker A: Oh, it's perfectly safe. I come here all the time by myself. As I was saying, I found it while exploring the woods behind my house. I've been coming here ever since.\n[00:32 - 00:35] Speaker B: It's so beautiful. I can't believe I've never seen it before.\n[00:35 - 00:39] Speaker A: Well, it is a bit hidden away. But I'm glad you like it.\n[00:40 - 00:40] Speaker B: I love it!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--487317",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--487317.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Mom.\n[00:01 - 00:03] Speaker B: Hey, Shamiyah. How are you doing?\n[00:04 - 00:06] Speaker A: I'm good. How are you?\n[00:06 - 00:10] Speaker B: I'm good. Just worried about you. You've been through a lot lately.\n[00:10 - 00:14] Speaker A: I know, Mom. But I'm okay. Really.\n[00:14 - 00:30] Speaker B: Are you sure? Because I worry about you, son. You're all I have left in this world since your father died. And I just want to make sure that you're okay and taking care of yourself properly by eating well, getting enough rest, and surrounding yourself with positive influences who truly care about your wellbeing.\n[00:23 - 00:36] Speaker A: Mom, I understand, but I really am happy. Even though things have been tough lately, I know that they will get better. And I have you to thank for that because you've always been there for me no matter how difficult things got.\n[00:37 - 00:44] Speaker B: I appreciate that, but I still can't help but worry. Have you thought about talking to someone, like a counselor, just to help process everything?\n[00:44 - 00:54] Speaker A: I haven't really considered that, Mom. But I was saying, you've always been there for me no matter what happened. Maybe talking to someone could help, but knowing you're here means a lot."
+  },
+  {
+    "key": "SODA_PROCESSED--train--609913",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--609913.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey Mitzy, I saw that you were wearing a really cool watch.\n[00:04 - 00:07] Speaker B: Yeah, it's my new watch. I just got it yesterday.\n[00:08 - 00:19] Speaker A: It looks really expensive. How much did it cost? I was thinking of getting something similar for myself and would love to know if it fits within my budget for a quality timepiece.\n[00:11 - 00:16] Speaker B: Oh, actually, I'm not sure. My mom got it for me as a gift, so I didn't really ask how much it cost.\n[00:19 - 00:27] Speaker A: Oh, that makes sense. Well, can I take a look at it? I'm interested in watches too and I've never seen one like that before.\n[00:28 - 00:30] Speaker B: Sure, no problem. Here you go.\n[00:30 - 00:41] Speaker A: Wow, this is an amazing watch! It must have cost a lot of money! Where did your mom get it from? I'm curious because I've been looking for a good place to buy a watch.\n[00:41 - 00:47] Speaker B: Sorry, just curious—do you know if the store she got it from has other brands or just luxury ones?\n[00:47 - 00:54] Speaker A: She got it from a store called Luxury Timepieces. They have really nice watches there but they're pretty pricey.\n[00:54 - 01:01] Speaker B: Yeah, I can imagine! This watch is beautiful though and definitely worth the price tag! Thanks for letting me take a look at it!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--874990",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--874990.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey guys, what's up?\n[00:01 - 00:04] Speaker B: Hey! We were just talking about the latest gossip.\n[00:05 - 00:06] Speaker A: Oh, what happened?\n[00:06 - 00:16] Speaker B: Well, it turns out that Sarah was cheating on her boyfriend with his best friend from college, and they've apparently been secretly seeing each other for months behind everyone's backs. Can you believe it?\n[00:10 - 00:17] Speaker A: Wait, are you serious? With his best friend? That's just... How did people even find out?\n[00:18 - 00:27] Speaker B: Yeah, it's true. Apparently, someone saw them together and word got around quickly. And now, Sarah is a total outcast. Everyone is talking about her behind her back.\n[00:27 - 00:30] Speaker A: Wow, that's really sad. I feel bad for her.\n[00:31 - 00:32] Speaker B: Yeah, it's pretty messed up."
+  },
+  {
+    "key": "SODA_PROCESSED--train--508884",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--508884.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: I'm really happy with how this new air conditioning unit turned out. It's a big improvement from the old one.\n[00:07 - 00:13] Speaker B: That's great to hear! How did the installation go? Any issues with the wiring or ductwork during the process?\n[00:13 - 00:21] Speaker A: Sorry to jump in, but I just remembered—did you have to make any modifications to the existing setup to get the new unit installed?\n[00:22 - 00:37] Speaker B: No, it went pretty smoothly. I was able to get the new unit in place and connected without any problems. I've already tested it out and it seems to be cooling the room much more evenly than the old one did while also maintaining consistent temperatures throughout the entire space without any hot spots.\n[00:30 - 00:39] Speaker A: That's good to know. And how's the energy efficiency compared to the old unit? I'm curious if it will help lower our utility bills.\n[00:39 - 00:47] Speaker B: It should be more efficient, yes. I was going to mention that it's also quieter, which is a nice bonus. Thanks for taking care of this project, Novalee."
+  },
+  {
+    "key": "SODA_PROCESSED--train--61606",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--61606.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Hey, I'm sorry about last night. I know I left without you and we were supposed to go to the movies together.\n[00:06 - 00:09] Speaker B: Yeah, you did. What happened?\n[00:09 - 00:20] Speaker A: I don't know, I just kind of panicked and didn't know how to handle the situation, so I left without thinking about how it would make you feel or the consequences of my actions.\n[00:12 - 00:14] Speaker B: Panicked? Why? Was something wrong?\n[00:20 - 00:27] Speaker A: It was just a really spur-of-the-moment thing. Plus, we were running late and I knew you really wanted to see the movie.\n[00:28 - 00:34] Speaker B: Neva, this isn't the first time you've done this. You've left me before without any explanation and it's really hurtful.\n[00:35 - 00:41] Speaker A: I know, and I'm sorry. It won't happen again, I will do my best to be more mindful of your feelings.\n[00:41 - 00:46] Speaker B: But how can I trust that? It feels like every time you say that, something else happens.\n[00:46 - 00:53] Speaker A: Sara, please. I'm sorry, okay? I'll make it up to you. Just give me another chance."
+  },
+  {
+    "key": "SODA_PROCESSED--train--690452",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--690452.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, I saw that you were having some trouble with your math homework. Let me take a look.\n[00:05 - 00:08] Speaker B: Yeah, I can't seem to figure out this one problem.\n[00:08 - 00:11] Speaker A: Okay, let me see. What's the problem?\n[00:11 - 00:14] Speaker B: I don't know how to find the perimeter of this shape.\n[00:14 - 00:31] Speaker A: Well, the perimeter is just the distance around the outside of the shape. To find it, you just need to add up all of the side lengths that make up the shape, including any curves or irregular edges that might require special formulas or calculations depending on the complexity of the figure.\n[00:21 - 00:26] Speaker B: Wait, do I need to measure the sides first if they're not given, or is there another way to find the lengths?\n[00:32 - 00:41] Speaker A: You would need to measure them if they're not given. But I was going to say that sometimes the lengths are provided, and you just add them up. By the way, do you have a ruler handy?\n[00:42 - 00:43] Speaker B: Oh, I see. Thanks!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--201044",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--201044.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: It's so great to see you again! It feels like it's been forever since high school.\n[00:05 - 00:15] Speaker B: I know, right? It's been a few years, but it feels like it was just yesterday. So, what have you been up to lately with your career and personal life? I'd love to hear all about your journey since we last met.\n[00:10 - 00:17] Speaker A: Sorry to jump in, but I just realized—I never asked where you're living these days. Are you still in the same city?\n[00:17 - 00:28] Speaker B: Actually, I moved to a new city for work after college. I finished college a few years ago and I'm now working as an accountant. I really enjoy it. And you? What have you been up to since high school?\n[00:28 - 00:46] Speaker A: I also finished college a few years ago and I'm now working as an engineer. I love my job too. But I've also been traveling a lot lately. I went on a trip to Europe last year and it was an incredible experience that completely changed my perspective on different cultures and ways of life.\n[00:46 - 00:49] Speaker B: Europe? That's amazing! Which countries did you visit?\n[00:50 - 01:05] Speaker A: I visited France, Italy, and Spain. Each place was so unique, and I wish I could have stayed longer. But there's always so much work to do. Maybe one day... So, how is everyone from our old class? Do you keep in touch with anyone?\n[01:06 - 01:14] Speaker B: Yeah, I stay in touch with a few people here and there. But it's mostly through social media these days. It would be great to actually see some of them in person again though.\n[01:14 - 01:23] Speaker A: Yeah, I know what you mean. It would be great to catch up with everyone in person again. Maybe we can organize a reunion or something?\n[01:23 - 01:28] Speaker B: That sounds like a great idea! I'm sure everyone would love to see each other again. We'll have to make it happen!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1076109",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1076109.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Sarah! How are you?\n[00:01 - 00:05] Speaker B: I'm good, thanks. How are you? You look really nice today.\n[00:05 - 00:28] Speaker A: Thank you! I just got my hair done this morning and I'm wearing my new favorite dress. I love feeling fashionable and put-together. It's one of the reasons why I love going to the salon every week - to make sure that I always look fresh and confident, especially since it boosts my mood for the entire week and helps me maintain a positive outlook on life no matter what challenges come my way.\n[00:19 - 00:27] Speaker B: Sorry to jump in, but do you think going to the salon that often is really necessary? I mean, you always look great, even when you're not freshly styled.\n[00:28 - 00:39] Speaker A: Thanks, that's sweet of you to say! I guess it's more about how it makes me feel. You know, like they say, when you look good, you feel good. It's all connected.\n[00:39 - 00:42] Speaker B: That's true. So, what are your plans for the rest of the day?\n[00:42 - 00:51] Speaker A: Well, I was thinking of doing some shopping and then maybe getting my nails done. What about grabbing a coffee afterward? It could be a nice way to relax.\n[00:51 - 00:58] Speaker B: Shopping sounds great! I might join you for that, but I'll have to pass on the nails - I'm not really into that kind of thing.\n[00:58 - 01:02] Speaker A: That's okay! We can still have a great time together."
+  },
+  {
+    "key": "SODA_PROCESSED--train--748043",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--748043.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Makennah. I was wondering what your feelings are.\n[00:04 - 00:13] Speaker B: I'm not really sure. I guess I just feel kind of lost and like I'm not making any real progress despite putting in so much effort every single day across different aspects of my life.\n[00:07 - 00:13] Speaker A: Lost? Do you mean like you're unsure about your career, or is it more about your personal life?\n[00:13 - 00:24] Speaker B: Exactly. That's how I feel. Like there's no clear path for me and I have no idea which way to  turn to find some direction or purpose that truly resonates with my values and aspirations for the future.\n[00:24 - 00:32] Speaker A: I get it. It can be overwhelming when everything feels uncertain. Maybe we can help each other out then. What do you think?\n[00:33 - 00:34] Speaker B: Sure, that sounds good to me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--966021",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--966021.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I forgot my coat and now I'm cold.\n[00:03 - 00:12] Speaker B: That sucks. You should have remembered to grab it before you left the house this morning because the weather forecast clearly predicted this sudden temperature drop and strong winds.\n[00:06 - 00:14] Speaker A: I know, I know. I just wasn't thinking and now I'm paying the price. It's just so cold out and I didn't bring a sweater or anything.\n[00:15 - 00:17] Speaker B: Well, you could always go back home and get your coat.\n[00:18 - 00:30] Speaker A: Yeah, but then I'd have to walk all the way back home in this cold weather and I don't really want to\n[00:30 - 00:35] Speaker B: I get it, but maybe it's worth it to avoid getting sick. Or, you know, you could borrow a coat from someone else?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--525710",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--525710.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: Hey, Mom. I just wanted to apologize for breaking the grammar rule earlier. I know that I should have followed the rule, but I didn't and now I feel like I let you down, and I really want to do better next time by paying more attention to the details and practicing more regularly to improve my skills.\n[00:09 - 00:16] Speaker B: Arisha, it's really okay. I understand how you feel, but everyone makes mistakes sometimes. It's not the end of the world.\n[00:17 - 00:30] Speaker A: Yeah, but this was a really big mistake and I don't want to make it  worse by not learning from it. I just want to make sure I improve through consistent effort and by asking for help when I need clarification on the rules.\n[00:30 - 00:40] Speaker B: I get it, you want to avoid making the same mistake again. Maybe next time you can try to be more careful. Just remember that everyone makes mistakes sometimes, and that's okay.\n[00:41 - 00:42] Speaker A: Yeah, thanks, Mom."
+  },
+  {
+    "key": "SODA_PROCESSED--train--463322",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--463322.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, how are you doing?\n[00:02 - 00:04] Speaker B: I'm doing fine, thank you. Eshaal, can I ask you something?\n[00:05 - 00:07] Speaker A: Of course. What's on your mind?\n[00:07 - 00:22] Speaker B: Well, I was wondering if you could help me understand something. I've been having a lot of trouble lately with feeling like I don't belong anywhere. Do you ever feel that no matter what I do, I just can't seem to find my place and it makes you question your value in different social circles and professional environments?\n[00:15 - 00:24] Speaker A: Sorry to interrupt, but I just wanted to say that I completely understand where you're coming from. It's a really common feeling, and you're not alone in this.\n[00:25 - 00:46] Speaker B: Yeah, I definitely know what you mean. It's tough when you feel like you're the odd one out and like nobody really gets you. But it's important to remember that everyone feels that way at times and that there is a place for everyone in this world. You just have to find where you fit  and sometimes it takes a bit of patience and exploration to get there while also being open to new experiences and perspectives that might surprise you.\n[00:46 - 00:54] Speaker A: I agree, but I was also going to ask if you've tried joining any new groups or activities that might help you meet people with similar interests."
+  },
+  {
+    "key": "SODA_PROCESSED--train--202914",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--202914.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: I'm really worried about this, lawyer. If the FBI finds out that we committed fraud, we could be in a lot of legal trouble, and it might even lead to criminal charges against us with potential prison time and substantial financial penalties that could ruin our careers.\n[00:07 - 00:16] Speaker B: Sorry to cut in, but when you say \"we,\" are you referring to specific actions you both took, or are you concerned about something else that might come up in their investigation?\n[00:16 - 00:32] Speaker A: It's specifically about some documents we both signed. I didn't mention it earlier, but those documents could be the key to  proving that we were intentionally misleading certain parties about the financial status of the company and creating false records to cover up significant losses.\n[00:33 - 00:41] Speaker B: Got it. I'll need to review those documents in detail. In the meantime, try to stay calm. I'll do my best to help you out of this situation."
+  },
+  {
+    "key": "SODA_PROCESSED--train--98281",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--98281.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: So, what are you looking forward to the most after graduation?\n[00:03 - 00:15] Speaker B: I don't know. Just being done with school, I guess. Having more free time to do what I want, like traveling to exotic destinations or just relaxing for a while while exploring new creative outlets and personal growth opportunities.\n[00:08 - 00:15] Speaker A: Sorry, I just thought of something—how do you plan to use that free time? Any specific hobbies or projects in mind?\n[00:15 - 00:22] Speaker B: Honestly, I haven't thought that far ahead. I guess I might pick up some old hobbies again, like painting or maybe even start learning something new. You?\n[00:23 - 00:37] Speaker A: Yeah, same here. It'll be nice to not have to worry about homework and tests all the time. But I'm also kind of scared about what the future holds, especially when it comes to finding a job that I really enjoy.\n[00:37 - 00:38] Speaker B: Scared? Why?\n[00:39 - 00:50] Speaker A: I was going to say, scared about what comes next. It just feels like there's a lot of pressure to figure out your life after graduation. And I have no idea what I want to do with my life.\n[00:51 - 01:03] Speaker B: Yeah, that can be tough. But you'll figure it out eventually. And even if you don't have everything figured out right away, it's not the end of the world. There's always time to make changes and try new things later on down the road."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1144076",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1144076.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, Gissel. I was wondering if I could ask for your help with something.\n[00:04 - 00:06] Speaker B: Of course, Daizy. What do you need?\n[00:07 - 00:10] Speaker A: Well, I was hoping you could help me with a project I'm working on.\n[00:11 - 00:12] Speaker B: Sure. What is it?\n[00:12 - 00:29] Speaker A: I'm working on a presentation for my boss and I really want to make sure it's perfect. Do you have any experience with creating compelling presentations for executive audiences that focus on delivering key messages clearly while maintaining visual appeal and professional polish?\n[00:19 - 00:28] Speaker B: PowerPoint? Yes, I actually have quite a bit of experience with PowerPoint. Let me take a look at what you have so far and see if I can offer any suggestions.\n[00:29 - 00:39] Speaker A: Thank you so much! I was going to ask if you have any tips on making the slides more engaging, but I also wanted to know if you have any strategies for structuring the content effectively.\n[00:40 - 00:46] Speaker B: One thing that always works for me is adding visuals and keeping the text minimal. But what else were you going to ask?\n[00:46 - 00:53] Speaker A: I wanted to know if you have any advice on how to handle the Q&A session after the presentation."
+  },
+  {
+    "key": "SODA_PROCESSED--train--33171",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--33171.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, boss. Do you have a minute?\n[00:02 - 00:03] Speaker B: What's up?\n[00:03 - 00:21] Speaker A: I wanted to talk to you about my job. I've been working here for two months and I really like it, but I'm starting to feel like I'm not being paid fairly for the amount of work I'm putting in compared to industry standards and the responsibilities I've taken on beyond my initial job description.\n[00:12 - 00:15] Speaker B: Not being paid enough? I get it. How much are you making now?\n[00:21 - 00:22] Speaker A: $8 an hour.\n[00:23 - 00:25] Speaker B: And how much do you think you should be making?\n[00:25 - 00:28] Speaker A: Well, I was thinking maybe $10 an hour.\n[00:28 - 00:44] Speaker B: I can see where you're coming from, but unfortunately we can't afford to give everyone a raise right now. We're just not making enough money  to cover all our expenses, especially with the recent downturn in sales and unexpected costs from equipment repairs that have put a strain on our budget.\n[00:44 - 00:52] Speaker A: I get that, but it's just that I really need the money. I'm saving up to buy a new car and $8 an hour isn't going to cut it.\n[00:52 - 00:53] Speaker B: How much do you need?\n[00:54 - 00:55] Speaker A: $2000.\n[00:55 - 00:56] Speaker B: That's a lot of money."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1022129",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1022129.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, do you think this necklace will go with my new outfit?\n[00:04 - 00:15] Speaker B: Let me see! Oh wow, it's so pretty! It definitely goes with your outfit. You're going to look stunning in it because the intricate details complement the patterns in your dress perfectly while adding just the right amount of elegance.\n[00:09 - 00:17] Speaker A: I actually have a different opinion. I think the necklace might be a bit too flashy for the outfit. Maybe something simpler would work better?\n[00:17 - 00:20] Speaker B: I know, I'm so excited! I can't wait to wear it out tonight.\n[00:21 - 00:22] Speaker A: Where are you going again?\n[00:23 - 00:33] Speaker B: Remember, I told you about that new club that just opened up? I'm going there with some  friends from work who have been raving about the amazing atmosphere and live music performances they host every weekend.\n[00:34 - 00:42] Speaker A: Oh, that reminds me, have you thought about the potential risks of going to a new place? It's always good to be cautious.\n[00:42 - 00:47] Speaker B: Oh yeah, that sounds like a lot of fun! Have a great time and make sure to take lots of pictures!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--338268",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--338268.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: You're always one step ahead, aren't you?\n[00:02 - 00:14] Speaker B: Not always. But I try to anticipate potential challenges before they arise by carefully analyzing patterns and considering multiple scenarios which helps me develop effective contingency plans for various situations.\n[00:09 - 00:13] Speaker A: Speaking of trying, how do you manage to stay so focused all the time?\n[00:14 - 00:18] Speaker B: It's a good quality to have. Always being prepared and knowing what you want.\n[00:19 - 00:22] Speaker A: It can be helpful, but it can also be a lot of pressure.\n[00:23 - 00:27] Speaker B: Pressure is good. It keeps you sharp and motivates you to push your limits.\n[00:27 - 00:32] Speaker A: But don't you think too much pressure can lead to burnout? How do you balance that?\n[00:32 - 00:38] Speaker B: That's true. But sometimes it feels like there's no room for error when you're constantly under pressure.\n[00:38 - 00:43] Speaker A: That's just part of life. You have to learn to roll with the punches and keep moving forward.\n[00:43 - 00:45] Speaker B: That's easier said than done.\n[00:46 - 00:47] Speaker A: Not if you have the right mindset."
+  },
+  {
+    "key": "SODA_PROCESSED--train--743500",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--743500.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Imanol, I'm so excited for this concert!\n[00:03 - 00:13] Speaker B: Me too, I can't believe we're finally going to see them after all these years of waiting and I'm especially looking forward to experiencing their incredible stage presence and energy live for the first time.\n[00:06 - 00:09] Speaker A: Right? It's been way too long since we've seen them last.\n[00:13 - 00:18] Speaker B: I know! And I really hope they play our favorite song. Do you think they'll start with it?\n[00:18 - 00:24] Speaker A: Maybe, but even if they don't, we've waited so long for this moment. It's going to be amazing either way.\n[00:25 - 00:29] Speaker B: And it's finally here! I can't wait to sing along to all of our favorite songs.\n[00:29 - 00:37] Speaker A: Me too! I really hope we get to hear them play our favorite song. But honestly, just being there after all this time will be incredible."
+  },
+  {
+    "key": "SODA_PROCESSED--train--896752",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--896752.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, I've been thinking about us a lot lately.\n[00:03 - 00:04] Speaker B: Oh yeah? What about?\n[00:05 - 00:17] Speaker A: Just about where we're at and where we're going. I'm not sure if this is what I want to continue without being completely honest with you about my feelings and where I see this relationship going in the long term.\n[00:10 - 00:13] Speaker B: Wait, are you saying you're having doubts about our relationship?\n[00:18 - 00:29] Speaker A: I didn't say that. I just said that I'm not sure if this is what I want. I care about you a lot and I don't want to hurt you, but sometimes I feel like we're on different pages.\n[00:29 - 00:34] Speaker B: So what are you saying? You want to break up, or are you just asking for some space to figure things out?\n[00:35 - 00:44] Speaker A: No, I'm not saying I want to break up right now. It's just hard for me to commit to anything right now, including this relationship. I'm sorry.\n[00:44 - 00:50] Speaker B: It's okay. I understand. I think we need some time apart too. We can still be friends though, right?\n[00:51 - 00:54] Speaker A: Of course. I care about you no matter what happens between us."
+  },
+  {
+    "key": "SODA_PROCESSED--train--900948",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--900948.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much, just hanging out. You?\n[00:03 - 00:07] Speaker A: Just chilling, trying to enjoy the day. It's nice out, isn't it?\n[00:08 - 00:20] Speaker B: Yeah, it is. I love days like this. There's something about the weather that just makes me feel so relaxed and in a good mood, like all my worries just melt away when the sun is shining this brightly and there's a gentle breeze in the air.\n[00:13 - 00:20] Speaker A: Sorry to jump in, but do you think it's going to stay this nice all week? I'm trying to plan something for the weekend.\n[00:21 - 00:26] Speaker B: I hope so! But even if it doesn't, we should still try to get outside and enjoy it while we can.\n[00:26 - 00:29] Speaker A: Absolutely, we should do that sometime soon.\n[00:29 - 00:33] Speaker B: Yeah, that would be awesome. I'm always down for anything that gets me outside.\n[00:34 - 00:39] Speaker A: Me too. Well, I should probably get going. It was great talking to you!\n[00:39 - 00:41] Speaker B: Yeah, you too. See you around!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--913166",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--913166.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: What are some ways I can grow my company and make more money?\n[00:03 - 00:26] Speaker B: Well, there are a few options. You could expand your product line or enter new markets. Alternatively, you could focus on increasing efficiency and reducing costs. Or, you could try to grow your revenue by increasing prices or finding new customers. Ultimately, it depends on what makes sense for your business and what you think will be beneficial in the long run, taking into account your company's unique strengths and the competitive landscape of your industry.\n[00:21 - 00:28] Speaker A: Sorry to jump in, but when you mentioned increasing prices, do you think that might risk losing some of our existing customers?\n[00:29 - 00:43] Speaker B: That's a valid concern. Raising prices could indeed lead to losing some price-sensitive customers, but it could also attract a more premium segment. However, I was going to say that it depends on what you think will be most profitable for your specific business.\n[00:43 - 00:50] Speaker A: Understood. And what about expanding into new markets? How do we assess if that's the right move?\n[00:50 - 01:03] Speaker B: Expanding into new markets could definitely be a lucrative option, but it requires careful market research to ensure there's demand for your product. You'd also need to consider the costs of entering a new market, such as marketing and distribution.\n[01:04 - 01:09] Speaker A: That makes sense. I suppose it's about balancing the potential risks and rewards."
+  },
+  {
+    "key": "SODA_PROCESSED--train--327822",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--327822.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hey.\n[00:00 - 00:04] Speaker B: Hey there. You looked lost. Are you okay?\n[00:04 - 00:19] Speaker A: I don't know. I feel like I'm disconnected from everything and everyone around me. I just feel so alone like I'm drifting through life without any real direction or purpose, as if I'm watching everything from the outside without truly being part of it.\n[00:10 - 00:19] Speaker B: I totally get that. But when you say \"alone,\" do you mean physically alone, or is it more of an emotional feeling, like you're not connecting with people even when they're around?\n[00:20 - 00:41] Speaker A: It's more of an emotional feeling, like I'm surrounded by people, but I still feel isolated. Everyone else seems to know what they're doing and where they're going except for me. And I have no idea what I'm doing or where I'm supposed to\n[00:43 - 00:52] Speaker B: That uncertainty can be really overwhelming. Have you thought about what might be causing these feelings? Maybe there's something specific that's triggering this sense of being lost?\n[00:52 - 01:02] Speaker A: I think it's a mix of things—life changes, expectations, and maybe even some unresolved issues from the past. It's just hard to pinpoint exactly what it is."
+  },
+  {
+    "key": "SODA_PROCESSED--train--159893",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--159893.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I'm leaving. I can't take it here anymore.\n[00:03 - 00:04] Speaker B: What do you mean? What's wrong?\n[00:05 - 00:14] Speaker A: Everything. I'm just done. I need to get out of here before I lose myself completely and end up becoming someone I don't even recognize in the mirror anymore.\n[00:08 - 00:13] Speaker B: Wait, are you sure this is the right decision? Have you thought about where you'll go or how you'll manage?\n[00:14 - 00:17] Speaker A: I don't know. Away from here. Anywhere but here.\n[00:18 - 00:20] Speaker B: But why? What's wrong with here?\n[00:20 - 00:34] Speaker A: It's just too much. The pressure, the expectations, the constant judgment. I can't take it  anymore, and I need to find a place where I can breathe and be at peace without constantly worrying about meeting other people's impossible standards.\n[00:35 - 00:39] Speaker B: But what about your family? Your friends? They care about you. Leaving would be hard on them.\n[00:39 - 00:49] Speaker A: I'll make new ones. Somewhere else where people don't know me and don't have any preconceived notions about who I am or what I'm supposed to be like.\n[00:50 - 00:51] Speaker B: But won't you be lonely?\n[00:51 - 01:01] Speaker A: No, I'll be free. Free to be myself without having to put on a show all the time. Besides, it's not like I'm going to be completely alone. I'll still have you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--4814",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--4814.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: Hi, class. Today we're going to be talking about fractions. Can anyone tell me what a fraction is, and how it represents a part of a whole? I'd like you to think about how we use fractions in our daily lives before answering this question.\n[00:05 - 00:12] Speaker B: Sorry to interrupt, but could you explain how fractions are used in real-life situations? I think that might help us understand better.\n[00:13 - 00:33] Speaker A: Sure! Fractions are used in many real-life situations, like when you're cooking and need to measure ingredients, or when you're dividing something, like a pizza, into equal parts. For example, if I have one slice of pizza and I cut it into four pieces, each piece would be one fourth, or 1/4, of the pizza. Does that make sense?\n[00:34 - 00:34] Speaker B: Yes.\n[00:35 - 00:40] Speaker A: Good. Now, let's try some problems. Who can tell me what one fourth plus one fourth is?\n[00:41 - 00:41] Speaker B: One half."
+  },
+  {
+    "key": "SODA_PROCESSED--train--869501",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--869501.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, boss.\n[00:01 - 00:03] Speaker B: Hey, Jaylani. How are you doing?\n[00:04 - 00:09] Speaker A: I'm doing alright. I was actually hoping to talk to you about something.\n[00:09 - 00:10] Speaker B: Sure, what's up?\n[00:10 - 00:29] Speaker A: Well, I was wondering if there might be any chance of me being transferred to a different location. I've been wanting to move for a while now and when this opportunity came up, I thought it would be a good time to make a change and explore new challenges in a different environment that could help me grow both professionally and personally.\n[00:22 - 00:30] Speaker B: Sorry to interrupt, but when you say \"move,\" are you considering a specific city or region? It might help narrow down the options.\n[00:30 - 00:37] Speaker A: Yes, I'm actually thinking about moving to the West Coast. I believe there are a few branches there that might have openings.\n[00:37 - 00:46] Speaker B: Let me see what I can do. I'll talk to HR and see if there are any open positions at other locations that you could transfer to. I'll get back to you as soon as possible."
+  },
+  {
+    "key": "SODA_PROCESSED--train--810624",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--810624.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: You're always so helpful, Eamon. You always put a smile on somebody's face. I bet you could be a saint if you wanted to.\n[00:07 - 00:10] Speaker B: What do you mean? I don't think I'm that special.\n[00:10 - 00:25] Speaker A: I mean you're always helping others and making them happy. You never hesitate to put a smile on somebody's face, even when you're having a tough day yourself, and that kind of consistent kindness is exactly what makes someone truly special in my eyes.\n[00:16 - 00:21] Speaker B: Sorry to interrupt, but do you really think just helping others could qualify someone as a saint?\n[00:26 - 00:44] Speaker A: Well, it's not just about helping others, it's also about the intention behind it. But I don't think I could be a saint  because I sometimes struggle with my own issues and I'm not always as selfless as I'd like to be, though I do try my best to maintain a positive attitude and help whenever possible.\n[00:45 - 00:50] Speaker B: Why not? I mean, you already do so much to help others! And you make people happy, which is a good thing.\n[00:51 - 00:54] Speaker A: I guess you're right. Maybe I could be a saint then..."
+  },
+  {
+    "key": "SODA_PROCESSED--train--762740",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--762740.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Hey, Julieann. I'm sorry about the dishes. I totally forgot to do them before you got home, but I'll take care of it right away and make sure the kitchen is spotless before you get back from your evening yoga class.\n[00:04 - 00:13] Speaker B: You forgot? I told you specifically to do them before I left for work this morning, and you didn't do them. Now they're just sitting there in the sink, dirty and wet.\n[00:13 - 00:18] Speaker A: I know, I'm really sorry about that. It won't happen again, I promise.\n[00:18 - 00:28] Speaker B: It had better not. I don't like coming home to\n[00:28 - 00:32] Speaker A: I know you don't, and I'm sorry. I'll do the dishes right now."
+  },
+  {
+    "key": "SODA_PROCESSED--train--181032",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--181032.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey there, cutie. You looking good today.\n[00:02 - 00:11] Speaker B: Thanks. I try my best to put in some effort, even on the busiest days, because taking care of myself helps me stay productive and positive throughout my entire week.\n[00:04 - 00:11] Speaker A: Sorry to jump in, but I just have to ask—what's your secret? You always seem to have this effortless glow about you.\n[00:12 - 00:19] Speaker B: Oh, it's really nothing special, just a mix of good skincare and a bit of confidence. But I was going to say, I try my best with what I have.\n[00:19 - 00:23] Speaker A: Well, whatever you're doing, it's working. You look amazing.\n[00:24 - 00:28] Speaker B: Aw, thank you, Khari. You always know just what to say to make someone feel good.\n[00:29 - 00:38] Speaker A: That's because I only ever say what I mean, and I always mean what I say. Especially when it comes to compliments like this because you truly deserve them.\n[00:39 - 00:44] Speaker B: Speaking of which, do you have any plans for today? You seem like you're in a really good mood.\n[00:44 - 00:52] Speaker A: I was just about to ask you the same thing! But yes, I do have some plans—mostly just running a few errands. How about you?\n[00:52 - 00:56] Speaker B: Nothing much, just enjoying the day and trying to relax.\n[00:56 - 01:01] Speaker A: Sounds perfect. Well, whatever you end up doing, I hope it's as fabulous as you are."
+  },
+  {
+    "key": "SODA_PROCESSED--train--867206",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--867206.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey Tony, how's it going? I haven't seen you in a while.\n[00:04 - 00:09] Speaker B: I'm doing alright, thanks for asking. How about you? How's the music scene treating you?\n[00:09 - 00:23] Speaker A: It's been good. I've been really busy lately with gigs and rehearsals. I'm loving every moment of it, especially when the crowd gets really into the music and we can create this incredible energy together on stage.\n[00:16 - 00:20] Speaker B: Oh, that sounds intense! Are you managing to find any time to rest in between all that?\n[00:24 - 00:37] Speaker A: Honestly, not much. But I wouldn't trade it for anything. I love the way the upright bass sounds. It's so rich and full. And I love the way it can bring a whole new dimension to the music, especially in live performances.\n[00:38 - 00:45] Speaker B: Totally, the upright bass has such a unique presence. But do you ever feel like you need to switch things up, maybe experiment with other instruments?\n[00:46 - 00:55] Speaker A: Sometimes, but the upright bass just resonates with me on a different level. I've been playing for many years and still enjoy it as much as I did when I first started.\n[00:56 - 01:00] Speaker B: That's really great. I'm sure your fans appreciate your passion for music.\n[01:00 - 01:03] Speaker A: Thank you, Tony. I appreciate your support."
+  },
+  {
+    "key": "SODA_PROCESSED--train--994009",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--994009.wav",
+    "model_output": "[00:00 - 00:20] Speaker A: I've been thinking about opening up a restaurant for a while now and I think I finally have a solid plan. I want it to be a sushi restaurant with a modern twist that combines traditional elements with contemporary design, featuring innovative plating techniques and interactive dining experiences that will really set us apart from competitors.\n[00:09 - 00:15] Speaker B: That sounds like a really cool concept! But when you say \"modern,\" do you mean in terms of the menu, the decor, or both?\n[00:20 - 00:48] Speaker A: Both, actually. For the menu, I was thinking we could do something like serve the sushi on small plates or in bento boxes. And instead of traditional soy sauce, we could offer different dipping sauces with unique flavors. As far as decor goes, I was thinking maybe we could have an industrial chic vibe with exposed brick and hanging  lights that create a cozy yet trendy atmosphere, complemented by live-edge wooden tables and greenery to bring natural elements into the space.\n[00:48 - 00:57] Speaker B: Oh, I love the idea of exposed brick! It really adds character. But have you thought about how that might impact the ambiance—like, will it make the place feel too cold or uninviting?\n[00:57 - 01:05] Speaker A: That's a good point. I was planning to balance it out with warm lighting, maybe using hanging lanterns to soften the atmosphere."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1010589",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1010589.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, I'm home.\n[00:02 - 00:03] Speaker B: Hey, how was your day?\n[00:03 - 00:06] Speaker A: It was good. How was yours?\n[00:07 - 00:08] Speaker B: It was good. I made dinner.\n[00:09 - 00:10] Speaker A: What did you make?\n[00:10 - 00:20] Speaker B: Roast beef and mashed potatoes with gravy that I slow-cooked for hours to get the perfect consistency and flavor. I also made some steamed vegetables on the side.\n[00:12 - 00:18] Speaker A: Oh, that sounds amazing! Did you use the recipe from last time or try something new?\n[00:20 - 00:23] Speaker B: I actually tried a new recipe this time. I hope you'll like it.\n[00:24 - 00:26] Speaker A: I'm sure I will. I'm starving.\n[00:26 - 00:28] Speaker B: Well, come on in and eat then.\n[00:29 - 00:33] Speaker A: I will in a minute. I just want to sit here for a minute and relax.\n[00:33 - 00:35] Speaker B: Okay, I'll keep your food warm.\n[00:36 - 00:38] Speaker A: Thanks. So, how was your day?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--24058",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--24058.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I'm sorry I'm late. I know it caused some problems for you.\n[00:04 - 00:16] Speaker B: You're damn right it did! I had to wait half an hour for you to show up. This is becoming a pattern, and it's really frustrating because it shows a lack of consideration for my time and makes me question whether I can rely on you for important matters.\n[00:08 - 00:17] Speaker A: I understand how you feel. It's not like me to be late, but it happens from time to time. I apologize for any inconvenience it may have caused you.\n[00:18 - 00:25] Speaker B: This isn't the first time this has happened, Willian. You're always late for your appointments. It's unprofessional and disrespectful.\n[00:25 - 00:39] Speaker A: Again, I'm sorry. I'll try to do better in  managing my time and ensuring that I arrive on time for our future meetings by setting multiple reminders and leaving earlier to account for any unexpected delays.\n[00:39 - 00:44] Speaker B: Try? That's not good enough. I don't want to work with someone who can't keep their word and be on time."
+  },
+  {
+    "key": "SODA_PROCESSED--train--214477",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--214477.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Romina. I wanted to talk to you about something.\n[00:03 - 00:04] Speaker B: Sure, what's up?\n[00:05 - 00:10] Speaker A: I'm having a really tough time right now and I could really use a friend.\n[00:10 - 00:13] Speaker B: Of course, Trevin. I'm here for you. What's going on?\n[00:13 - 00:27] Speaker A: It's just that everything seems so overwhelming right now. I don't know how to handle everything that's happening in my life, and I feel like I'm losing control while trying to balance school, family responsibilities, and my own mental health.\n[00:18 - 00:22] Speaker B: Overwhelming? I'm really sorry to hear that. Is there something specific that's been weighing on you?\n[00:28 - 00:50] Speaker A: Yeah, I think that would help. It's just been really hard lately. My mom is sick and she's been in the hospital for a while. My dad is working all the time to try and pay the bills, but we're still struggling financially. And on top of all that, my little sister is acting out at school and giving my parents a hard time. It feels like everything is falling apart and I don't know how to fix it.\n[00:51 - 01:09] Speaker B: Wow, that sounds really tough, Trevin. You are carrying a lot on your shoulders right now. But you are not alone; we are here for you too, okay? Let's brainstorm some solutions together and see if we can  find a way to lighten your load, even if it's just a little by creating a support system and prioritizing the most urgent issues first.\n[01:09 - 01:18] Speaker A: Actually, Romina, before we brainstorm, do you think I should talk to my parents about how I'm feeling? I haven't really opened up to them yet.\n[01:18 - 01:24] Speaker B: I get that, but they need to know what's going on with you so they can help too. Why don't we call them right now and tell them we're here for you?\n[01:25 - 01:29] Speaker A: Yeah, that might be a good idea. Thanks for being here for me, Romina."
+  },
+  {
+    "key": "SODA_PROCESSED--train--700208",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--700208.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: I'm so sorry that happened, Memphis. It sounds like it was really tough for you.\n[00:05 - 00:14] Speaker B: Yeah, it was. I didn't know what to do or how to handle the situation without making things worse, especially since I was dealing with so many conflicting emotions and pressures at the time.\n[00:08 - 00:14] Speaker A: React? I can imagine. Sometimes, in the heat of the moment, it's hard to think clearly.\n[00:15 - 00:25] Speaker B: Exactly. It can be really difficult when we're faced with conflict, especially with people we care  deeply about, because our emotions tend to cloud our judgment and make us react in ways we might regret later.\n[00:25 - 00:35] Speaker A: About, yeah. And it's even harder when emotions are involved. But I think you did the best you could under the circumstances. And that's all anyone can ask for.\n[00:35 - 00:38] Speaker B: Thanks, Josefina. That means a lot coming from you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--860269",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--860269.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: Hey Aizen. I was wondering if you'd want to go out on a date with me? I think it would be fun to get to know each other better and see where things might go, maybe over dinner at that new Italian place downtown that everyone's been raving about lately.\n[00:06 - 00:11] Speaker B: I don't know, Reymundo. I'm not sure if I'm ready for dating right now.\n[00:15 - 00:27] Speaker A: That's perfectly understandable. I just thought it would be a good opportunity to get to know each other better. We don't have to rush into anything serious; we can just take it slow and see how it goes.\n[00:27 - 00:28] Speaker B: I don't know...\n[00:28 - 00:41] Speaker A: Please, Aizen. Just give me a chance. I promise you'll have a good time  exploring new places and trying different activities together that we both might enjoy, like visiting art galleries or going hiking on weekends.\n[00:41 - 00:44] Speaker B: Alright, Reymundo. I'll go out on a date with you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--566903",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--566903.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, I think I know how to fix that computer.\n[00:03 - 00:05] Speaker B: Really? Come up and take a look then.\n[00:05 - 00:18] Speaker A: Um...actually, never mind. I don't think I can figure out what's wrong with it after all because the error messages are showing codes I've never encountered before and the hardware seems more complex than I anticipated.\n[00:09 - 00:12] Speaker B: Wait, why would you say you could fix it if you didn't know how?\n[00:19 - 00:21] Speaker A: I don't know. I just thought maybe I could do it.\n[00:22 - 00:32] Speaker B: That's not a good enough answer. You wasted my time and now the class is  running behind because of this unexpected delay and we'll have to postpone the important lesson we were supposed to cover today.\n[00:32 - 00:36] Speaker A: I'm really sorry. I didn't mean to cause any trouble.\n[00:36 - 00:40] Speaker B: I'm sorry too, but this can't happen again. Now get back to your seat."
+  },
+  {
+    "key": "SODA_PROCESSED--train--118976",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--118976.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hey, mom.\n[00:01 - 00:03] Speaker B: Hey, sweetie. What's up?\n[00:03 - 00:05] Speaker A: Just feeling a little down today.\n[00:06 - 00:07] Speaker B: Aww, what's wrong?\n[00:07 - 00:19] Speaker A: I don't know. Everything just seems kind of point[interrupt]less lately, like I'm not making any progress in anything I do and it's really starting to affect my motivation and overall outlook on life.\n[00:10 - 00:19] Speaker B: Pointless? Darvin, I've been there before, and I want to remind you that these feelings are temporary. Have you been able to talk to anyone else about how you're feeling?\n[00:19 - 00:22] Speaker A: Not really. I just feel like no one would understand.\n[00:23 - 00:28] Speaker B: I understand, sweetie. But I promise you, life is always worth living. You just have to find your purpose in it.\n[00:29 - 00:32] Speaker A: Yeah, I guess you're right. Thanks, mom. Love you.\n[00:33 - 00:34] Speaker B: Love you too, baby."
+  },
+  {
+    "key": "SODA_PROCESSED--train--162201",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--162201.wav",
+    "model_output": "[00:00 - 00:15] Speaker A: Hey Hagen, I know you're not supposed to go into the haunted house, but I'll give you a piece of candy if you come with me, and we'll just take a quick look inside. It'll be over before you know it and we might even discover some cool secrets about the house's history.\n[00:06 - 00:11] Speaker B: No way! I'm not going in there! There are ghosts and monsters and who knows what else inside!\n[00:15 - 00:24] Speaker A: Oh come on, it's not like it's really going to be that scary. And besides, I'll be right next to you the whole time. We can leave if it gets too spooky.\n[00:25 - 00:29] Speaker B: I said no! I don't care if you're with me or not, I don't want to go!\n[00:29 - 00:32] Speaker A: Oh, come on Hagen. It'll be fun. I promise.\n[00:32 - 00:34] Speaker B: No! I don't want to go!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1020087",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1020087.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, honey. How are you doing today?\n[00:03 - 00:05] Speaker B: I'm doing alright. How are you feeling?\n[00:06 - 00:18] Speaker A: I'm feeling a little better today. I'm still weak, but I'm getting stronger slowly, and I hope to regain my full strength soon with proper rest and maybe some light exercises recommended by my doctor.\n[00:10 - 00:13] Speaker B: Do you think you might be ready to try taking a short walk outside?\n[00:18 - 00:23] Speaker A: Maybe tomorrow, if I keep improving. But I was going to say I'm getting stronger every day.\n[00:24 - 00:27] Speaker B: That's great news! I'm so glad to hear that you're improving.\n[00:28 - 00:33] Speaker A: Yeah, me too. It's been a long road, but I feel like I'm finally turning a corner.\n[00:34 - 00:47] Speaker B: We've been through a lot together these past few months, and I was wondering—do you feel like you need any additional support, like from a physical therapist or  maybe even some home care assistance to help with daily tasks while you continue your recovery journey?\n[00:47 - 00:54] Speaker A: No, I think I'm okay for now. But thank you for asking. It means a lot to me that you're always thinking about what I might need."
+  },
+  {
+    "key": "SODA_PROCESSED--train--748910",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--748910.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, Blimy. I'm still pretty angry at you for what happened earlier today.\n[00:04 - 00:13] Speaker B: What are you talking about? I don't even know what you're mad about and I genuinely want to understand why you're so upset with me right now. Can you at least tell me what I did wrong?\n[00:08 - 00:14] Speaker A: You know exactly what I'm talking about. You ruined my plans and made me look like a fool in front of everyone.\n[00:15 - 00:24] Speaker B: I didn't mean to do that, Rayana. I was just trying to  help you out by offering my honest opinion, but I guess it didn't come across that way and I should have been more considerate of your feelings.\n[00:25 - 00:29] Speaker A: Well, you didn't help out. You just made everything worse.\n[00:29 - 00:32] Speaker B: I'm sorry, Rayana. I really am.\n[00:32 - 00:38] Speaker A: It doesn't matter if you're sorry or not. You still ruined my day and I'm going to get revenge.\n[00:38 - 00:39] Speaker B: What are you going to do?\n[00:40 - 00:42] Speaker A: I'm going to let the air out of your tire.\n[00:43 - 00:44] Speaker B: That's not very nice, Rayana.\n[00:45 - 00:49] Speaker A: I don't care if it's not nice. You deserve it for what you did to me today.\n[00:49 - 00:56] Speaker B: Fine, go ahead and let the air out of my tire. But know that two can play this game and I'll get revenge on you too someday."
+  },
+  {
+    "key": "SODA_PROCESSED--train--115322",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--115322.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hey, Mom.\n[00:01 - 00:03] Speaker B: Hey, sweetie. How are you feeling?\n[00:03 - 00:17] Speaker A: I'm feeling a lot better, thanks. My fever's gone and I'm starting to feel like I have more energy than before, enough that I was even able to finish my homework and read a chapter of my book today without feeling exhausted.\n[00:08 - 00:13] Speaker B: Oh, that's such a relief! Are you thinking about going back to school tomorrow, or do you want to wait another day?\n[00:17 - 00:22] Speaker A: I think I might be ready to go back tomorrow, but I'll see how I feel in the morning.\n[00:22 - 00:27] Speaker B: That sounds like a good plan. Just make sure you're really up for it before you head out.\n[00:28 - 00:30] Speaker A: I will, Mom. Thanks for checking on me.\n[00:30 - 00:33] Speaker B: Of course, baby. Get some rest now, okay?\n[00:34 - 00:35] Speaker A: Okay. Goodnight, Mom.\n[00:36 - 00:36] Speaker B: Goodnight."
+  },
+  {
+    "key": "SODA_PROCESSED--train--791383",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--791383.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Hey, do you have a minute? I wanted to chat with you about something important that's been on my mind lately regarding our upcoming group project and how we should divide the workload among team members.\n[00:03 - 00:06] Speaker B: Oh, sorry, I'm kind of in a hurry.\n[00:12 - 00:15] Speaker A: That's okay, I'll walk with you. So, what's up?\n[00:16 - 00:18] Speaker B: Just getting some things done before my classes start.\n[00:19 - 00:21] Speaker A: What classes are you taking this semester?\n[00:21 - 00:23] Speaker B: English and math. You?\n[00:23 - 00:27] Speaker A: History and science. Do you like your schedule this semester?\n[00:28 - 00:34] Speaker B: Wait, did you say science? I heard that class is really tough. How are you finding it?\n[00:34 - 00:40] Speaker A: It's challenging, but I think I can manage. I was asking if you like your classes so far?\n[00:40 - 00:43] Speaker B: Yeah, they're interesting. I'm just worried about the workload.\n[00:44 - 00:49] Speaker A: Yeah, I know what you mean. But it's only the first week, so hopefully it won't be too bad.\n[00:50 - 00:55] Speaker B: Yeah, I hope so too. Hey, I gotta go or I'll be late for my class. Nice talking to you!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--951487",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--951487.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: The future is going to be so different, Arrianna. There will be new technology and people will live in floating cities or even colonies on other planets where they'll have access to advanced life support systems and sustainable energy sources.\n[00:05 - 00:10] Speaker B: Sorry, I just got so excited! Do you really think people will live in space? How would that even work?\n[00:14 - 00:28] Speaker A: Yes, I think it's quite possible. Advances in technology are making it more feasible. People will have jet packs and they'll be able to travel quickly and efficiently over short distances, making daily commutes much easier.\n[00:28 - 00:34] Speaker B: Jet packs? Wow, that would be so cool! But wouldn't there be safety concerns with everyone flying around?\n[00:35 - 00:53] Speaker A: Safety would definitely be a consideration, but with proper regulations and technology, it could be managed. And there will also be flying cars! Can you imagine  how much time we'd save on our daily commutes and how much more accessible remote locations would become with this revolutionary transportation technology?\n[00:54 - 00:59] Speaker B: Flying cars would be awesome! I wouldn't even mind being stuck in traffic if I could fly above it all."
+  },
+  {
+    "key": "SODA_PROCESSED--train--980776",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--980776.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: I was playing on the monkey bars and I got tangled in the rope. I fell and got a bruise on my arm, but it's not too bad. The rope twisted around my wrist and I lost my grip before landing awkwardly on the playground mulch.\n[00:06 - 00:09] Speaker B: Oh no, that sounds like it hurts. Did you fall from a high place?\n[00:13 - 00:17] Speaker A: It wasn't that high. I fell and got a bruise on my leg.\n[00:18 - 00:19] Speaker B: Are you sure? Let me see your leg.\n[00:20 - 00:21] Speaker A: Mom, I'm fine!\n[00:22 - 00:24] Speaker B: Madalyn, please let me see your leg.\n[00:24 - 00:25] Speaker A: Fine!\n[00:26 - 00:28] Speaker B: See? It's not that bad.\n[00:28 - 00:33] Speaker A: That looks pretty bad, sweetie. We should put some ice on it to help with the swelling.\n[00:33 - 00:35] Speaker B: But mom, it doesn't even hurt that much!\n[00:36 - 00:43] Speaker A: That may be true, but ice will help prevent the bruise from getting worse. Trust me, I know what I'm talking about."
+  },
+  {
+    "key": "SODA_PROCESSED--train--316553",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--316553.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, kids! How are you today?\n[00:02 - 00:04] Speaker B: We're good, mom. Thanks for asking.\n[00:05 - 00:07] Speaker A: That's great! What did you do today?\n[00:08 - 00:17] Speaker B: We went to the park and played with our friends. Then we came home and had some delicious homemade snacks that grandma prepared for us before settling down to watch our favorite animated movie together.\n[00:11 - 00:16] Speaker A: Sorry to interrupt, but did you remember to clean up your toys before coming home?\n[00:17 - 00:19] Speaker B: Oh, yes, we did! After that, we had lunch.\n[00:20 - 00:24] Speaker A: That sounds like a lot of fun! I'm glad you had a good day.\n[00:24 - 00:26] Speaker B: We did! What did you do today, mom?\n[00:27 - 00:29] Speaker A: I went to work and then came home.\n[00:29 - 00:30] Speaker B: That's it?\n[00:30 - 00:37] Speaker A: Yep, that's it. I'm pretty boring, but I did manage to squeeze in some time to read a book.\n[00:37 - 00:41] Speaker B: Mom, you're not boring at all! You just have a different job than we do.\n[00:41 - 00:47] Speaker A: Thanks, sweetie. I guess I didn't mention I also stopped by the grocery store on my way back."
+  },
+  {
+    "key": "SODA_PROCESSED--train--258280",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--258280.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: I can't stand it when people are always late. It drives me crazy because it feels like they don't respect my time and it makes me question whether I should continue making plans with them at all.\n[00:03 - 00:10] Speaker B: Sorry to interrupt, but have you considered that some people might have legitimate reasons, like unexpected emergencies or traffic?\n[00:11 - 00:16] Speaker A: Yeah, I get that emergencies happen, but it still makes me so mad when people do that!\n[00:17 - 00:30] Speaker B: Well, maybe you should try to be more understanding. Everyone has different circumstances that can make them late  and sometimes it's really out of their control, especially in big cities where public transportation delays or sudden family obligations can completely derail someone's schedule.\n[00:31 - 00:38] Speaker A: I get that, but it's still really frustrating when people are always late! Have you ever experienced waiting for someone for over an hour?\n[00:39 - 00:45] Speaker B: I understand how you feel, but you shouldn't let it bother you so much. Maybe setting clear expectations with them could help."
+  },
+  {
+    "key": "SODA_PROCESSED--train--535368",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--535368.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey guys, what's up?\n[00:01 - 00:03] Speaker B: Not much, just hanging out. What's up with you?\n[00:04 - 00:16] Speaker A: I'm just getting ready for my classes and work. I'm really feeling the pressure, but I'm trying to stay on top of everything by creating a detailed schedule and prioritizing my tasks effectively.\n[00:08 - 00:13] Speaker B: Oh, speaking of work, have you managed to balance everything? It sounds like you have a lot on your plate.\n[00:16 - 00:22] Speaker A: Yeah, it's been challenging, but I'm managing. I was going to say I'm really busy these days.\n[00:23 - 00:25] Speaker B: That's great! We're all really proud of you.\n[00:26 - 00:28] Speaker A: Thanks, guys. I appreciate it.\n[00:28 - 00:30] Speaker B: So, how's college going?\n[00:30 - 00:43] Speaker A: It's going well. I'm learning a lot and I'm really enjoying  the new subjects and projects I'm working on, especially the research opportunities that allow me to apply theoretical knowledge in practical scenarios.\n[00:43 - 00:49] Speaker B: Sorry to jump in, but do you think you'll have time to catch up with us this weekend? We haven't hung out in a while.\n[00:49 - 00:58] Speaker A: I'd love to, but it depends on my workload. I was about to say I'm really enjoying my classes, but they do keep me busy.\n[00:58 - 01:01] Speaker B: That's great! What are you planning on doing after you graduate?\n[01:02 - 01:11] Speaker A: I'm not sure yet. I'm considering going to grad school, but I haven't decided for sure. I might also look into getting a job in my field of study.\n[01:11 - 01:15] Speaker B: That sounds like a great plan! We'll support you whatever you decide to do."
+  },
+  {
+    "key": "SODA_PROCESSED--train--421624",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--421624.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: I'm so nervous about my date tonight. I don't know what to wear or what to say to make a good impression, especially since we're going to that fancy new Italian restaurant downtown that everyone's been raving about.\n[00:04 - 00:11] Speaker B: Sorry, but have you thought about what kind of vibe you want to go for? Like, do you want to be casual or a bit more dressed up?\n[00:13 - 00:29] Speaker A: That's a good point. I was thinking of something casual but still cute. But what if he doesn't  think it's good enough or if he prefers something more formal, like a nice dress or maybe even a stylish pantsuit that shows off my personality while still looking put together?\n[00:29 - 00:36] Speaker B: If he doesn't like you for being yourself, then he's not worth your time. You deserve someone who appreciates you for who you are.\n[00:36 - 00:40] Speaker A: Thanks, Dyani. Talking to you always makes me feel better.\n[00:41 - 00:43] Speaker B: Anytime, girl. Now go get 'em!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--631363",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--631363.wav",
+    "model_output": "[00:00 - 00:19] Speaker A: I can't believe she's gone. It feels like only yesterday we were together, laughing and joking and enjoying each other's company. I loved her so much, and now she's gone. I feel so alone without her smile and her presence in my life, the way she always knew exactly what to say to make everything better even in the toughest times.\n[00:12 - 00:23] Speaker B: I know how you feel, Dre. I miss her too. She was such a special person to me, and I'll never forget all the happy times we shared together. It's hard to imagine life without her laughter and the way she brightened up every room.\n[00:24 - 00:38] Speaker A: Sorry, I just can't help but think about all the things we used to do together and it just makes me so sad. I don't know how I'm going to go on without  her constant support and encouragement that always gave me strength when I needed it most.\n[00:39 - 00:45] Speaker B: We'll get through this together, Dre. We have each other and we'll always have our memories of her. That's what we have to hold onto."
+  },
+  {
+    "key": "SODA_PROCESSED--train--208819",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--208819.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: I just don't understand why I didn't make the team. I worked so hard and I really wanted to prove myself this season, especially after all the extra training I did during summer break and those early morning conditioning sessions before school.\n[00:05 - 00:14] Speaker B: I know it's tough, but sometimes it's not just about how hard you work. Did you get any feedback from the coach? Maybe there's something specific you can work on for next time.\n[00:15 - 00:29] Speaker A: I didn't really get any feedback, but it just feels like everyone else on the team is so much better than\n[00:30 - 00:39] Speaker B: Better? Brock, you're one of the best soccer players I know. It's not about being better or worse; it's about fitting into the team strategy. Your talent is not the issue here.\n[00:39 - 00:46] Speaker A: Yeah, I guess you're right. Thanks for talking to me, I feel better now.\n[00:46 - 00:48] Speaker B: Of course, anytime."
+  },
+  {
+    "key": "SODA_PROCESSED--train--604536",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--604536.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, Mrs. Johnson. How are you today?\n[00:02 - 00:04] Speaker B: I'm doing well, thank you. How are you?\n[00:05 - 00:22] Speaker A: I'm doing okay. I was just wondering if you needed any help with anything around the house? I noticed that your gutters could use some cleaning and I know that can be a tough job for someone your age, especially with the weather getting colder and the leaves falling more frequently this time of year.\n[00:16 - 00:23] Speaker B: Oh, Kynlee, thank you for noticing! Actually, there's also a small leak in the roof that I've been worried about. Do you think you could take a look at that too?\n[00:24 - 00:28] Speaker A: Of course, I can check the leak as well. I'll go get my ladder and be right back.\n[00:29 - 00:32] Speaker B: Thank you so much, Kynlee! You're such a kind person."
+  },
+  {
+    "key": "SODA_PROCESSED--train--193891",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--193891.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, how are you doing?\n[00:01 - 00:03] Speaker B: I'm doing alright. How about you?\n[00:04 - 00:10] Speaker A: I'm good. Just trying to stay present and in the moment as much as possible.\n[00:10 - 00:22] Speaker B: That's great! I think more people should do that. It can be really helpful in reducing stress and improving overall mental health by fostering better emotional regulation and creating a stronger connection between mind and body.\n[00:15 - 00:22] Speaker A: Sorry to interrupt, but I wanted to ask, do you have any specific techniques you use to stay present?\n[00:22 - 00:34] Speaker B: Yeah, I find it makes me feel more calm and at peace with myself. And it also helps me be more productive since I'm not constantly worrying about things that might happen in the future or dwelling on things that have already happened.\n[00:34 - 00:44] Speaker A: That makes sense. It's like if you're always living in the past or the future, you're not really living in the present, which is all that really matters.\n[00:44 - 00:53] Speaker B: Exactly. I'm just trying to be more mindful of my thoughts and feelings and really savor the moments that I'm in, whether it's something good or just an ordinary day.\n[00:54 - 01:03] Speaker A: I totally agree, but I'm curious, how do you handle it when something bad happens? Do you have any strategies for staying present during tough times?\n[01:03 - 01:08] Speaker B: That sounds like a really healthy way to approach life. I think more people should try it!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--943593",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--943593.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: So tell me, what's it like living by the ocean?\n[00:03 - 00:25] Speaker B: It's amazing! I love it here. The weather is almost always perfect and there's just something about the sound of the waves that makes me feel so relaxed. Plus, there are so many fun things to do here. We can go fishing, swimming, surfing, kayaking...the list goes on and on with endless possibilities like beach volleyball tournaments at sunset, dolphin watching tours in the morning, and exploring hidden coves along the coastline during low tide.\n[00:18 - 00:25] Speaker A: Sorry to jump in, but I just got so excited hearing about all those activities. Do you think I could borrow a bathing suit from you?\n[00:26 - 00:30] Speaker B: Of course! I have a few that would probably fit you. Let me go grab one for you.\n[00:30 - 00:38] Speaker A: Thanks, I really appreciate it. By the way, you were saying there are many fun things to do here. What else do you recommend?\n[00:38 - 00:49] Speaker B: No problem, I'm just glad you're here. I know we're going to have a lot of fun this week. Also, besides the water activities, there are great hiking trails and local seafood restaurants you should definitely try."
+  },
+  {
+    "key": "SODA_PROCESSED--train--538365",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--538365.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, I wanted to talk to you about something.\n[00:02 - 00:03] Speaker B: What's up?\n[00:04 - 00:07] Speaker A: Well, you know how I borrowed that money from you a while ago?\n[00:08 - 00:09] Speaker B: Yeah, what about it?\n[00:09 - 00:26] Speaker A: I've been feeling really guilty about it and I just wanted to make sure that you're not mad at me. I'll pay you back as soon as I can, I really appreciate your patience, and I don't want this to affect our friendship because you've always been so supportive and understanding through all my tough situations.\n[00:18 - 00:25] Speaker B: Hey, don't stress about it. I wasn't even thinking about it, seriously. Are you okay? It sounds like this has been bothering you.\n[00:26 - 00:32] Speaker A: I just didn't want to cause any tension between us. Are you sure we're good?\n[00:32 - 00:36] Speaker B: Seriously, don't worry about it. Let's just forget about it, okay?\n[00:36 - 00:40] Speaker A: Alright, if you're sure. Thanks for understanding.\n[00:40 - 00:42] Speaker B: No problem, that's what friends are for."
+  },
+  {
+    "key": "SODA_PROCESSED--train--146504",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--146504.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Mom. I'm home from school.\n[00:02 - 00:04] Speaker B: Hi, Bennett. How was your day?\n[00:05 - 00:16] Speaker A: It was okay. I got in a little trouble at school, but nothing serious, I promise. Just a minor misunderstanding with a teacher about hall passes that got blown out of proportion.\n[00:09 - 00:11] Speaker B: What kind of trouble? You know you can tell me.\n[00:17 - 00:30] Speaker A: Well, I was walking in the hall and one of the teachers saw me. She started yelling at me for being out of class and told me to go to the office. But I didn't want to get into more trouble, so I snuck out of the school instead.\n[00:30 - 00:44] Speaker B: Bennett, you know you're not supposed to be out of class or leave school without permission. You could get into a lot of trouble if you're  caught doing something like that again, especially since the school has been cracking down on unauthorized absences and they might call the police for truancy cases."
+  },
+  {
+    "key": "SODA_PROCESSED--train--957212",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--957212.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I'm so glad you could come! I know how busy you are.\n[00:04 - 00:16] Speaker B: Yeah, I was just about to cancel, but I'm glad I didn't. This looks like it'll be really exciting, especially since I haven't been to a play in ages and I've heard such great things about this particular production from multiple friends.\n[00:09 - 00:16] Speaker A: Sorry to jump in, but I just remembered—did you have any trouble finding parking? I know it can be tricky around here.\n[00:17 - 00:20] Speaker B: Oh, no, I found a spot pretty easily. But what were you saying about the play?\n[00:21 - 00:25] Speaker A: Right! You're going to love the play. It's one of my favorites.\n[00:25 - 00:26] Speaker B: What's it about?\n[00:27 - 00:35] Speaker A: Two friends who have a falling out and then ultimately make up again. It's really beautifully written, and the character development is so well done.\n[00:36 - 00:40] Speaker B: Oh, that sounds like such a relatable story! I love plays that explore friendships.\n[00:41 - 00:44] Speaker A: It really is. It's heartwarming, and I think you'll enjoy it.\n[00:45 - 00:46] Speaker B: I can't wait to see it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--231370",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--231370.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, man. What's up?\n[00:02 - 00:04] Speaker B: Not much. Just hanging out, you know?\n[00:04 - 00:09] Speaker A: Yeah, I know. I'm just glad we can spend some time together. It's been a while.\n[00:09 - 00:20] Speaker B: Yeah, I know. But it's good to see you again. So, what do you want to do today? I was thinking we could catch up over some good food and maybe explore some new places in the city that we haven't visited before.\n[00:14 - 00:18] Speaker A: Actually, I was wondering, have you heard anything about that new restaurant downtown?\n[00:20 - 00:24] Speaker B: Not really, but I heard it's pretty good. What do you want to do today?\n[00:25 - 00:27] Speaker A: I don't know. What do you want to do?\n[00:27 - 00:32] Speaker B: Well, I was thinking we could go get something to eat or something like checking out that new place downtown.\n[00:32 - 00:39] Speaker A: Oh, speaking of eating, did you remember to bring your wallet? Last time we went out, you forgot it.\n[00:39 - 00:41] Speaker B: Sounds good to me. I'm starving.\n[00:42 - 00:43] Speaker A: All right then, let's go!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--719199",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--719199.wav",
+    "model_output": "[00:00 - 00:09] Speaker A: Hey, thanks for coming over. It's been a rough few days filled with sleepless nights and constant reminders of my loss, and I just needed someone to talk to.\n[00:03 - 00:05] Speaker B: No problem, Alix. What's going on?\n[00:10 - 00:17] Speaker A: Well, my mom died a few weeks ago and I've been having a hard time dealing with it. I'm just feeling really down and lost right now.\n[00:18 - 00:25] Speaker B: I'm so sorry to hear that, Alix. It's totally understandable that you're feeling this way. Do you want to talk about it? I'm here for you.\n[00:25 - 00:39] Speaker A: Yeah, I think that would help. It's just been so hard. I miss her so much. We were really  close, sharing everything from daily routines to deep conversations about life, and I don't know how to cope with this loss.\n[00:39 - 00:44] Speaker B: I can only imagine how painful it must be. Were there any specific memories that have been on your mind lately?\n[00:45 - 00:52] Speaker A: We were really close. She was the most important person in my life. I don't know what I'm going to do without her.\n[00:52 - 00:57] Speaker B: It's going to be tough, but you'll get through it. You're strong and you have a lot of people who love and support you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--207527",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--207527.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Look, Lenny, I think it's time we ended this relationship.\n[00:03 - 00:04] Speaker B: What? Why?\n[00:05 - 00:14] Speaker A: I just don't think it's fair to either of us to keep going when my feelings have changed so dramatically over the past few months and I can no longer see a future together.\n[00:06 - 00:10] Speaker B: Wait, can we at least talk about this? I mean, what exactly isn't working out?\n[00:15 - 00:17] Speaker A: I just don't think we're compatible, that's all.\n[00:18 - 00:26] Speaker B: But I love you! Surely we can  try to work things out, maybe see a counselor or something that could help us understand each other better and possibly rebuild what we've lost?\n[00:27 - 00:31] Speaker A: Lenny, I'm sorry. I just don't feel the same way about you.\n[00:31 - 00:36] Speaker B: Fine. If that's how you feel, then I guess there's nothing left to say except goodbye.\n[00:37 - 00:37] Speaker A: Goodbye, Lenny."
+  },
+  {
+    "key": "SODA_PROCESSED--train--560596",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--560596.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Your Honor, I'm sorry for what happened. I know I shouldn't have been driving so fast through residential neighborhoods where children play, and I deeply regret my actions that put innocent lives at risk.\n[00:04 - 00:09] Speaker B: Mr. Natosha, you were speeding over twice the legal limit. You could have killed someone!\n[00:11 - 00:16] Speaker A: I know, Your Honor. It was stupid and reckless and I'm truly sorry.\n[00:16 - 00:30] Speaker B: Mr. Natosha, I don't think you understand how serious this is. If you had caused an accident, people could have been seriously injured or even  lost their lives in a tragic and completely preventable collision that would have devastated multiple families forever.\n[00:31 - 00:34] Speaker A: I do understand, Your Honor. I am sorry.\n[00:34 - 00:41] Speaker B: Mr. Natosha, I'm going to give you a chance to prove that you're sorry. I'm going to sentence you to 200 hours of community service.\n[00:42 - 00:43] Speaker A: Yes, Your Honor. Thank you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--57082",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--57082.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: I just don't know if I can keep going. I feel like I'm losing my motivation, and it's hard to stay focused on something that brings up so much pain especially when the memories keep flooding back unexpectedly throughout the day.\n[00:03 - 00:09] Speaker B: Forcing yourself? I get that, but what exactly is making it so unbearable? Is it because of what happened with your mom?\n[00:13 - 00:26] Speaker A: Yeah, I guess so. It's just really hard to talk about  the emotions that come up every time I think about it because they're so overwhelming and complex, mixing grief with anger and confusion all at once.\n[00:27 - 00:33] Speaker B: I can only imagine. But remember, you're not alone in this. We're all here to support you, and it's okay to take your time with it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--715956",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--715956.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: Look, I know that I messed up. I was caught with heroin and I'm facing some serious charges. But, I really need your help to find a way out of this because I'm terrified of what might happen if I don't get proper legal representation and support during this difficult time.\n[00:08 - 00:18] Speaker B: Aadya, we've been over this already. The evidence against you is pretty damning. Plus, you have a history of drug use. I don't think there's much that can be done to help you at this point.\n[00:18 - 00:21] Speaker A: But you're my lawyer! You're supposed to help me!\n[00:21 - 00:33] Speaker B: Aadya, I'm doing everything that I can. But, realistically, the chances of you getting out of this are pretty slim. You need to prepare yourself for the possibility of a conviction and think about how you'll handle it.\n[00:34 - 00:38] Speaker A: But I can't go to prison! I'll lose my job, my apartment, everything!\n[00:38 - 00:43] Speaker B: Aadya, you need to calm down. Getting upset isn't going to help anything.\n[00:43 - 00:48] Speaker A: Fine. But, you have to promise me that you'll do everything you can to help me.\n[00:48 - 00:49] Speaker B: I promise."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1108323",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1108323.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Hi, boss. I'm sorry, but my train was delayed and I'm going to be at least 15 minutes late.\n[00:06 - 00:16] Speaker B: That's not good enough, Ziyad. You're already late and this is the third time this month that you've been late, and it's becoming a pattern that's seriously affecting team productivity and morale.\n[00:10 - 00:17] Speaker A: I know, and I'm really sorry. It won't happen again. I promise to make up the time by working through my lunch break.\n[00:18 - 00:24] Speaker B: That's not acceptable either. You need to be here on time or you'll have to face more serious consequences, like a formal warning.\n[00:24 - 00:30] Speaker A: Boss, please don't say that. I'm really sorry about this and it won't happen again.\n[00:30 - 00:38] Speaker B: Sorry isn't good enough, Ziyad. You're already on thin ice and if you're late one more time, you're out of here. Do you understand?\n[00:38 - 00:40] Speaker A: Yes, boss. I understand."
+  },
+  {
+    "key": "SODA_PROCESSED--train--761001",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--761001.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: How are you feeling today, Sarah?\n[00:02 - 00:14] Speaker B: I'm feeling okay. I've been having a lot of headaches and stomachaches but I think it might be related to the stress I've been under lately, especially with all the upcoming deadlines at work and personal issues I've been dealing with on top of everything else.\n[00:05 - 00:10] Speaker A: Headaches and stomachaches? That sounds concerning. Have you been taking your medication?\n[00:14 - 00:15] Speaker B: Yes, I have.\n[00:16 - 00:18] Speaker A: Are you drinking plenty of fluids and eating enough?\n[00:19 - 00:22] Speaker B: Yes, I'm drinking a lot of water and juice and eating healthy foods.\n[00:22 - 00:25] Speaker A: That's good. How's your stress level been?\n[00:25 - 00:32] Speaker B: It's been pretty high lately. I've been having a lot of arguments with my parents and I'm worried about how it's affecting my mental and physical health.\n[00:33 - 00:39] Speaker A: You mentioned arguments with your parents—do you think that's contributing to the stress and maybe even the headaches?\n[00:40 - 00:46] Speaker B: Possibly, yes. It's been really tough. I have talked to my friends about it, and they've been helping me a lot. But it's still hard.\n[00:47 - 00:59] Speaker A: It sounds like it's been a really tough few weeks for you. We can talk more about that if you want, but first let's check your vitals and see if there are any physical causes for your headaches and stomachaches."
+  },
+  {
+    "key": "SODA_PROCESSED--train--322068",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--322068.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I'm just really not in the mood for company right now.\n[00:03 - 00:14] Speaker B: I completely understand. It sounds like you just need some time to be alone and process everything that's been weighing on your mind lately, especially with all the stress you've been under at work and with your family situation.\n[00:07 - 00:14] Speaker A: Actually, it's not just about needing time. It's been a really tough week, and I just need to clear my head.\n[00:14 - 00:18] Speaker B: Do you want to talk about it? I'm here if you need to vent or anything.\n[00:19 - 00:25] Speaker A: No, I don't think that would help. I just need some time to think things through. Thanks for understanding though.\n[00:26 - 00:31] Speaker B: Of course, Danica. We all have our off days. Just let me know if you need anything, okay?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--532492",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--532492.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Thank you so much for your kind words and prayers, Father. It means a lot to me.\n[00:05 - 00:07] Speaker B: You're very welcome, Willow. How are you doing?\n[00:07 - 00:12] Speaker A: I'm doing all right, I guess. Just trying to take things one day at a time.\n[00:12 - 00:25] Speaker B: That's the best way to do it. So many things can happen in life that we can't control, but we can control how we react to those situations and find strength in our faith through prayer, community support, and maintaining hope even during the darkest moments.\n[00:19 - 00:29] Speaker A: Sorry to interrupt, Father, but what if it feels like no matter how I try to react, things just keep getting worse? Like, first my mom gets sick and then my dad loses his job...\n[00:30 - 00:39] Speaker B: Yes, I can imagine. That must be very difficult for you. But like I said, it's important to focus on what we can control. And one thing we can always control is our attitude.\n[00:40 - 00:43] Speaker A: Yeah...you're right. Thanks, Father.\n[00:43 - 00:47] Speaker B: You're welcome, Willow. Anytime you need to talk, don't hesitate to come see me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--126878",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--126878.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: Mom, I'm so excited about the play! I've been practicing my lines every day, and I think I'm really going to impress everyone with my performance because I've put in so much effort and dedication to perfect every single detail of my character.\n[00:07 - 00:13] Speaker B: Hold on, Kohl, have you also been practicing your cues with the other actors? Timing is just as important as knowing your lines.\n[00:15 - 00:21] Speaker A: Oh, definitely! We've been rehearsing together after school. I think I'm really going to nail this role.\n[00:21 - 00:31] Speaker B: That's great, Kohl! I'm sure you'll do a wonderful job. Just remember to stay focused and don't let nerves get the best of you. You'll be able to handle anything that comes your way if you stay calm.\n[00:31 - 00:37] Speaker A: Speaking of nerves, do you have any tips on how to stay calm before going on stage?\n[00:37 - 00:43] Speaker B: Absolutely! Deep breathing really helps. Also, try to visualize the performance going well. You'll be great.\n[00:44 - 00:51] Speaker A: Thanks, Mom. I know I can do this. I'm just so excited to be performing in front of an audience. It's going to be a lot of fun.\n[00:52 - 00:56] Speaker B: I'm sure it will be. Just remember to give it your all and enjoy the experience."
+  },
+  {
+    "key": "SODA_PROCESSED--train--65367",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--65367.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, grandma. Do you need help with your groceries?\n[00:03 - 00:13] Speaker B: Oh, thank you, Ceanna. That would be wonderful. Let me just get my purse and we can head to the store together after making sure we have all the shopping bags and reusable containers we might need for our purchases.\n[00:08 - 00:15] Speaker A: Actually, grandma, I was thinking, maybe I could help you make a grocery list before we go? That way, we won't forget anything.\n[00:15 - 00:18] Speaker B: That's a good idea, Ceanna. So, what do you need today?\n[00:19 - 00:24] Speaker A: Well, let's see. I need some apples, bananas, and maybe some grapes if they're available.\n[00:25 - 00:28] Speaker B: Do you think we should get some oranges too? They are in season right now.\n[00:29 - 00:37] Speaker A: Oranges sound great! And I think that's it for now. Thank you so much for helping me out, Ceanna. You're such a sweet boy.\n[00:37 - 00:41] Speaker B: It's no problem at all, grandma. I'm happy to help out however I can."
+  },
+  {
+    "key": "SODA_PROCESSED--train--956648",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--956648.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: I really enjoy staying up late at night. It's so peaceful and I can finally have some time to myself without any interruptions, allowing me to focus on my hobbies or simply unwind with a good book in complete tranquility.\n[00:04 - 00:08] Speaker B: I can understand that. Sometimes I feel the same way. But don't you find it a bit lonely?\n[00:14 - 00:20] Speaker A: No, not at all. I actually feel more relaxed and comfortable when it's dark outside.\n[00:20 - 00:28] Speaker B: That makes sense. I guess it's just different for everyone. Some people need the bustle of activity to feel relaxed, while others like the peace and quiet of the night hours.\n[00:29 - 00:49] Speaker A: Exactly. I find that the night time is when I can really think and reflect on my day. Plus, there are no distractions like there are during the  day when everyone is awake and there's so much going on, from constant phone notifications to colleagues stopping by my desk for impromptu conversations that break my concentration.\n[00:49 - 00:56] Speaker B: Speaking of distractions, do you ever feel like staying up late affects your productivity the next day? I sometimes struggle with that.\n[00:56 - 01:08] Speaker A: It can be tricky, but for me, the quiet at night outweighs the tiredness the next day. I was going to mention that during the day, there are just too many things pulling me in different directions."
+  },
+  {
+    "key": "SODA_PROCESSED--train--277828",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--277828.wav",
+    "model_output": "[00:00 - 00:17] Speaker A: I swear to defend my country against all enemies, foreign and domestic. I am ready to do whatever it takes to ensure the safety and security of our people, even if it means making personal sacrifices and facing difficult situations head-on without hesitation.\n[00:07 - 00:11] Speaker B: Are you sure about this, Rohit? I mean, this isn't going to be easy.\n[00:17 - 00:33] Speaker A: I'm sure. I've never been more sure about anything in my life. I was going to say, to protect it, but  I understand the risks and challenges ahead and I'm fully prepared to meet them with courage and determination because this is what I was born to do.\n[00:33 - 00:38] Speaker B: Okay, I won't try to talk you out of it then. Just know that we're counting on you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--559369",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--559369.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Darn it! I can't believe I missed.\n[00:02 - 00:11] Speaker B: You're never going to catch me, Rorie. I'm too quick for you to keep up with my moves, especially when I'm weaving through obstacles and changing directions unpredictably like this.\n[00:05 - 00:12] Speaker A: Wait, what if I try a different strategy? Maybe I can outsmart you instead of just relying on speed.\n[00:13 - 00:16] Speaker B: Oh, but I'll keep trying. I'll never give up until I catch you.\n[00:16 - 00:19] Speaker A: Ha! Good luck with trying to outmaneuver me.\n[00:20 - 00:25] Speaker B: Actually, I think I might have a better chance if I focus on anticipating your moves. What do you think?\n[00:25 - 00:33] Speaker A: I don't need luck. I'm determined to catch  you no matter how many times it takes or how long we have to keep playing this game.\n[00:33 - 00:35] Speaker B: We'll see about that."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1186623",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1186623.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: I'm sorry man, I know I fucked up. I shouldn't have lied to you about the robbery, but I was just trying to avoid getting into more trouble than I already was by keeping you out of it completely since you weren't involved in the first place.\n[00:06 - 00:13] Speaker B: Protect yourself? That's what you always say. But why should I believe you? You've lied to me in the past and now I can't trust you anymore.\n[00:13 - 00:30] Speaker A: Look, I know I've fucked up in the past, but this time I'm telling the truth. The surveillance footage doesn't show  the whole story because the camera angle was blocked during the most crucial moments, and I need you to hear me out before jumping to conclusions about what actually went down that night.\n[00:31 - 00:35] Speaker B: What really happened? Lora, you're a liar and a thief. I can't trust anything you say."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1084325",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1084325.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Sarah. I need to talk to you about something.\n[00:03 - 00:04] Speaker B: What's up?\n[00:04 - 00:17] Speaker A: It's just, I don't really know how to say this, but I think I might be questioning my sexuality, and I wasn't sure how you'd react because you've always been my closest friend and I value your opinion more than anyone else's.\n[00:08 - 00:14] Speaker B: Oh, Malana, before you say anything more, I just want you to know that whatever it is, I'm here for you.\n[00:18 - 00:20] Speaker A: I was going to say I might be gay.\n[00:21 - 00:24] Speaker B: Malana, I don't care if you're gay. I love you no matter what.\n[00:25 - 00:27] Speaker A: Really? You're not mad?\n[00:27 - 00:29] Speaker B: Of course not! Why would I be mad?\n[00:29 - 00:34] Speaker A: I don't know. I just thought you might be upset or worried that it would change our friendship.\n[00:35 - 00:40] Speaker B: Upset? No way. I'm just so proud of you for being honest with yourself and with me.\n[00:40 - 00:42] Speaker A: Thanks, Sarah. That means a lot."
+  },
+  {
+    "key": "SODA_PROCESSED--train--708343",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--708343.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Sarah. What's going on?\n[00:02 - 00:11] Speaker B: Not much. Just hanging out at home. You know, same old, same routine, nothing too exciting except maybe binge-watching some shows and trying out new recipes when I get bored.\n[00:06 - 00:13] Speaker A: Sorry to jump in, but I just remembered—did you hear about that new movie that's coming out? It looks really good.\n[00:13 - 00:16] Speaker B: Oh yeah, I've been wanting to see that! When does it come out?\n[00:16 - 00:27] Speaker A: Next week, I think. We should definitely  plan a movie night or something, maybe grab dinner beforehand and make a whole evening out of it since we haven't hung out in ages.\n[00:27 - 00:31] Speaker B: Oh, next week? That's perfect! We should definitely go see it!\n[00:32 - 00:34] Speaker A: Yeah, that would be great."
+  },
+  {
+    "key": "SODA_PROCESSED--train--41123",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--41123.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Mom. I have some good news.\n[00:02 - 00:03] Speaker B: What is it, Ziya?\n[00:04 - 00:06] Speaker A: I passed my entrance exam!\n[00:06 - 00:14] Speaker B: Oh, that's fantastic news! I'm so proud of all the effort you've put in and how you managed to stay focused despite all the challenges you faced during your preparation.\n[00:09 - 00:13] Speaker A: Sorry to cut in, Mom, but I wanted to ask—have you told Dad yet?\n[00:14 - 00:18] Speaker B: No, I haven't told him yet. But I was just about to say how proud I am of you!\n[00:18 - 00:24] Speaker A: Thanks, Mom. I'm pretty happy about it too. It was a lot of work, but it paid off.\n[00:25 - 00:28] Speaker B: You've always been a hard worker, Ziya. I knew you would succeed if you kept at it.\n[00:29 - 00:33] Speaker A: I appreciate that, but I was wondering if we could celebrate this weekend?\n[00:34 - 00:36] Speaker B: Of course, we should definitely celebrate!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--322914",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--322914.wav",
+    "model_output": "[00:00 - 00:18] Speaker A: I don't understand why people are always drawn to negativity and drama instead of positivity and happiness. It just doesn't make sense to focus so much on what's wrong when there's so much good around us that we could be celebrating and appreciating every single day if we just shifted our perspective slightly.\n[00:08 - 00:16] Speaker B: Sorry to jump in, but do you think it might have something to do with the way media portrays things? It seems like negativity gets more attention because it sells more.\n[00:18 - 00:36] Speaker A: That's a good point. Media does play a huge role in shaping our perceptions. But I think it also has to do with the way we're wired as humans. We're constantly seeking out ways to improve our lives, and unfortunately, negativity and drama often seem more exciting than positivity and happiness.\n[00:36 - 00:48] Speaker B: But why is that? Why can't we just focus on  fostering a mindset that appreciates the positives and actively seeks out opportunities to cultivate joy in our daily lives through simple acts of kindness and gratitude?\n[00:48 - 01:05] Speaker A: —on the good things in life? I think it's because we're always looking for ways to grow and learn. When something negative happens, it forces us to examine our own lives and see where we can improve. With positive things, there's often not as much opportunity for growth or learning.\n[01:05 - 01:11] Speaker B: I see what you mean. But don't you think that focusing on the negative all the time is just going to make us more unhappy?\n[01:11 - 01:23] Speaker A: Yes, I definitely think that's true. But I also think that if we can find a balance between focusing on the positive and the negative, then we can really start to create lasting happiness in our lives."
+  },
+  {
+    "key": "SODA_PROCESSED--train--650705",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--650705.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: I'm sorry, but I don't think this is going to work out. You're just not my type.\n[00:05 - 00:13] Speaker B: What do you mean? I thought we were getting along pretty well, and I was really looking forward to seeing where this could go since we share so many common interests and values.\n[00:07 - 00:15] Speaker A: We were, but then I saw you dressed like this and it just turned me off. It feels like you don't care about making a good impression.\n[00:16 - 00:20] Speaker B: That's not true! I was just being comfortable. I didn't know we were going to be dressing up tonight.\n[00:21 - 00:35] Speaker A: Well, maybe if you had asked me what the dress code was, I could have told you. But now it's too late and I just don't feel  the same connection that I did before because physical presentation is an important part of attraction for me in a relationship.\n[00:35 - 00:40] Speaker B: Wait, are you saying that just because of what I'm wearing, you don't feel attracted to me anymore?\n[00:41 - 00:50] Speaker A: Yes, it might sound shallow, but first impressions matter to me. I'm sorry you feel that way. I had a really good time with you up until now.\n[00:50 - 00:53] Speaker B: Me too. I'm just sorry it has to end like this."
+  },
+  {
+    "key": "SODA_PROCESSED--train--925277",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--925277.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: I don't want to talk about it, Joey.\n[00:02 - 00:10] Speaker B: What? What is there to not want to discuss? We've always talked about everything important in our lives and shared our deepest thoughts without hesitation before.\n[00:04 - 00:06] Speaker A: Just drop it, okay?\n[00:10 - 00:21] Speaker B: No, I won't drop it. I want to know what's going on with you. You've been acting weird lately and I want to know  if there's something I can do to help you through whatever you're dealing with because that's what friends are for.\n[00:21 - 00:23] Speaker A: I told you, I don't want to talk about it.\n[00:24 - 00:29] Speaker B: Well, I do. And if you don't tell me what's going on, I'm going to keep asking until you do.\n[00:29 - 00:35] Speaker A: Fine. But this is the last time we're ever going to speak of this, okay? Promise me that.\n[00:35 - 00:38] Speaker B: I promise. Now tell me what's going on."
+  },
+  {
+    "key": "SODA_PROCESSED--train--179376",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--179376.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: I'm feeling great, thanks for asking. Just got done with a workout and I'm feeling refreshed and ready to tackle the day with renewed energy and focus, especially since I've got some important meetings scheduled this afternoon.\n[00:07 - 00:09] Speaker B: You look it! What kind of workout did you do?\n[00:13 - 00:29] Speaker A: Oh, just some weightlifting and cardio. I like to start my day with a good workout; it really gets me going for the rest of the  day, especially when I have a busy schedule ahead and need to maintain both physical stamina and mental clarity throughout my various commitments.\n[00:30 - 00:34] Speaker B: I should try that sometime. Do you usually mix it up, or do you stick to the same routine?\n[00:35 - 00:40] Speaker A: I usually mix it up to keep things interesting. It's really helped me out a lot.\n[00:40 - 00:42] Speaker B: So, what's on your agenda for today?\n[00:42 - 00:49] Speaker A: I'm not really sure yet. I was thinking of maybe doing some shopping or something. What about you?\n[00:49 - 00:52] Speaker B: Oh, nothing too exciting. I have to work today unfortunately.\n[00:52 - 00:56] Speaker A: That sounds like a drag. I hope you have a good day though!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--310941",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--310941.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: So you're just going to ignore me now?\n[00:02 - 00:04] Speaker B: What do you want me to say, Jackson?\n[00:04 - 00:07] Speaker A: I don't know, an apology would be nice.\n[00:08 - 00:08] Speaker B: For what?\n[00:09 - 00:21] Speaker A: You know what. This whole thing with Lucas. You've been flirting with him nonstop and it's really getting on my nerves, and it's making me feel like you don't respect my feelings or consider how this situation affects our friendship.\n[00:15 - 00:21] Speaker B: Sorry to interrupt, but are you sure you're not overreacting a bit? I mean, it's just harmless flirting.\n[00:22 - 00:27] Speaker A: So what if I am flirting with him? He's a free agent, and I can talk to whoever I want.\n[00:28 - 00:39] Speaker B: It's not just that. You've been hanging out with him a lot too, and I feel like you're trying to steal my  chance to get closer to him by constantly inserting yourself into every conversation and planning activities that exclude me.\n[00:40 - 00:47] Speaker A: Wait, let me clarify something. Are you actually dating Lucas, or is this just about your feelings for him?\n[00:47 - 00:51] Speaker B: Boyfriend? Please. He's not your boyfriend. You guys haven't even gone on a date yet.\n[00:52 - 00:58] Speaker A: That doesn't matter. I like him and I don't appreciate you swooping in and trying to take him away from me.\n[00:58 - 01:08] Speaker B: Oh, so now he's yours? Just because you like him? Sorry, but that doesn't work that way. People are free to date whomever they want, and there's nothing you can do about it.\n[01:08 - 01:12] Speaker A: Well maybe I'll just have to make sure he knows how I feel about him then.\n[01:12 - 01:18] Speaker B: And maybe I'll just keep doing what I'm doing and see where things go with Lucas. There's no harm in that, is there?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--524306",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--524306.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: I can't believe the project was cancelled. I was really looking forward to it.\n[00:04 - 00:07] Speaker B: I'm sorry, Kaelin. I know you were excited about it.\n[00:08 - 00:21] Speaker A: Yeah, I was. I had been looking forward to it for weeks. And then, when it didn't happen as planned despite all our careful preparations and late-night brainstorming sessions, it felt like all my efforts were in vain.\n[00:14 - 00:20] Speaker B: Sorry to interrupt, but do you know why it was cancelled? Was it a budget issue or something else?\n[00:21 - 00:32] Speaker A: I'm not entirely sure, but I think it was due to some logistical problems. It just sucks because I was really looking forward to it and put a lot of effort into planning for it.\n[00:33 - 00:40] Speaker B: It's understandable that you're upset. But try to look on the bright side – at least you don't have to work on it now and can focus on other things.\n[00:40 - 00:46] Speaker A: That's true. But it still feels like a wasted effort. I really wanted to see it through.\n[00:46 - 00:52] Speaker B: Again, I'm sorry that it didn't work out. Sometimes these things happen and there's nothing we can do about it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--535550",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--535550.wav",
+    "model_output": "[00:00 - 00:23] Speaker A: Hey, Mom. I was riding my bike around the block and I heard a loud pop. I got off my bike to find that my tire had a big hole in it and was completely flat. Zaylie felt upset because now he would have to walk his bike all the way back home and miss out on the ride he was looking forward to, which was especially disappointing since he had planned this outing with his friends for days.\n[00:13 - 00:21] Speaker B: Wait, did you say there was a loud pop? That sounds like it could have been something sharp on the road. Did you notice anything unusual before that?\n[00:23 - 00:28] Speaker A: I don't know. I was just riding along and then suddenly my tire was flat.\n[00:28 - 00:32] Speaker B: Well, let's take a look at it and see if we can figure out what happened. Did you hit something?\n[00:33 - 00:38] Speaker A: I don't think so. I didn't see anything when I got off the bike to check the tire.\n[00:38 - 00:53] Speaker B: Hmmm, well sometimes things can happen without us realizing it. Maybe you ran over a nail or something sharp without knowing it. Anyway, we'll have to get you a new tire for your bike. Fortunately, we have an extra one in the garage that should fit your bike.\n[00:54 - 00:55] Speaker A: Okay, thanks, Mom.\n[00:55 - 00:59] Speaker B: You're welcome. Now let's get that tire changed so you can ride your bike again."
+  },
+  {
+    "key": "SODA_PROCESSED--train--876226",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--876226.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: I saw you talking to that guy earlier. What were you really meeting him for?\n[00:05 - 00:14] Speaker B: I wasn't meeting him for anything. I was just talking to him about a project we're working on together that involves some sensitive financial data which is why we needed to discuss it in private.\n[00:07 - 00:09] Speaker A: Why were you lying to me then?\n[00:15 - 00:25] Speaker B: I wasn't lying to you. I just didn't want to tell you the truth because I knew you wouldn't  understand why I had to discuss it with him privately since the project involves confidential client information that I'm legally bound to protect.\n[00:25 - 00:27] Speaker A: So you were lying by omission.\n[00:28 - 00:29] Speaker B: I guess you could say that.\n[00:30 - 00:32] Speaker A: Why can't you just be honest with me?\n[00:32 - 00:37] Speaker B: I am being honest with you. I just didn't tell you the whole truth because I knew you wouldn't approve.\n[00:38 - 00:39] Speaker A: But now I don't trust you.\n[00:40 - 00:43] Speaker B: Hasani, I'm sorry. I didn't mean to make you not trust me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--757426",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--757426.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, man. How's it going?\n[00:02 - 00:04] Speaker B: Not too bad. How's the new book coming along?\n[00:05 - 00:19] Speaker A: It's coming along alright. I've made some changes to the story and I'm hoping that readers will find it more engaging this time around with the new character arcs and plot twists that really dive deeper into their motivations and backstories.\n[00:11 - 00:15] Speaker B: What kind of changes did you make? Are they major plot shifts or just minor adjustments?\n[00:19 - 00:36] Speaker A: A bit of both, actually. I wanted to add more depth to the characters, but also tweak the pacing to keep the readers more engaged. The first edition didn't do too well, so I'm hoping that this one will resonate better with the audience and maybe even attract some new readers.\n[00:36 - 00:41] Speaker B: Oh, I see. Do you think the new pacing will make a big difference in how readers connect with the story?\n[00:42 - 00:49] Speaker A: Definitely. I believe it will help keep the readers hooked throughout. I really hope this version will be more successful.\n[00:49 - 00:54] Speaker B: I'm sure it will be. You're a great writer and I know that your fans will love the new book.\n[00:55 - 00:57] Speaker A: Thanks, man. I appreciate your support."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1047480",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1047480.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Sarah. I've been meaning to talk to you about something.\n[00:04 - 00:04] Speaker B: What's up?\n[00:05 - 00:09] Speaker A: I'm thinking about going back to school to get my degree in accounting.\n[00:09 - 00:21] Speaker B: That sounds like a great idea! I think you would be really good at balancing the coursework with your current job since you're so organized and disciplined, which are essential qualities for succeeding in both work and school simultaneously.\n[00:12 - 00:21] Speaker A: Do you really think so? I've been a bit nervous about whether I can handle the coursework, especially since it's been a while since I was in school.\n[00:21 - 00:28] Speaker B: Of course, I do! You've always been great with numbers and problem-solving. Plus, you're so determined when you set your mind to something.\n[00:29 - 00:39] Speaker A: Yeah, I've been thinking about it for a while and I'm just ready for a change. Plus, it would be nice to have a degree in something that could actually help me get a better job.\n[00:39 - 00:42] Speaker B: Absolutely. So when do you think you'll start?\n[00:42 - 00:50] Speaker A: As soon as possible. I've already looked into some schools and I found one that has an accelerated program that I can do online.\n[00:50 - 00:57] Speaker B: That sounds perfect! You'll be able to get your degree without having to quit your job or worry about commuting to classes every day.\n[00:57 - 01:03] Speaker A: Exactly, that's one of the biggest reasons I chose this program. I need to keep working while I study.\n[01:04 - 01:08] Speaker B: And since it's online, you can do it at your own pace and still have time for your other commitments.\n[01:09 - 01:15] Speaker A: Yeah, it's really flexible. I'm excited but also a little anxious about juggling everything.\n[01:16 - 01:21] Speaker B: That's great! I'm really happy for you, Damonte. This is going to be a great new adventure for you!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--471264",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--471264.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Geneva. I'm glad you could come over today.\n[00:03 - 00:06] Speaker B: Yeah, me too. It's been a while since we hung out.\n[00:06 - 00:20] Speaker A: I know. I've been really busy lately. But I missed you and wanted to catch up and see how you've been doing, especially since we haven't had a proper conversation in months and I'm curious about all the new developments in your life.\n[00:11 - 00:15] Speaker B: Oh, I've missed you too! But wait, busy with what? Work or something else?\n[00:20 - 00:31] Speaker A: Well, let's see...I started a new job, which has been keeping me busy. And I've been hanging out with my friends a lot too. But like I said, I really missed you and wanted to catch up.\n[00:32 - 00:38] Speaker B: Yeah, no worries. I'm always here for you if you need to talk or just want to hang out. So tell me about your new job!\n[00:38 - 00:52] Speaker A: It's great! I'm really enjoying it. It's a lot of work, but it's also really  rewarding and fulfilling because I get to work on projects that align with my passions and values while collaborating with an amazing team of professionals.\n[00:53 - 00:56] Speaker B: Is it something in your field? You always wanted a job that challenges you.\n[00:57 - 01:04] Speaker A: Yes, it is! It's in my field, and it's definitely challenging, but in a good way. I feel like I'm growing a lot.\n[01:04 - 01:07] Speaker B: That sounds great. I'm happy to hear you're doing well.\n[01:08 - 01:14] Speaker A: Thanks, Geneva. I appreciate your support. So what about you? What's new with you?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--523646",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--523646.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I don't know if I'm comfortable with this.\n[00:02 - 00:10] Speaker B: What? Why are you feeling uneasy about it? Is there something specific that's making you hesitant or is it just a general sense of discomfort?\n[00:04 - 00:08] Speaker A: Why not? I mean, I just feel like we're moving too fast.\n[00:11 - 00:21] Speaker B: We can go as slow as you want. I just thought you were  ready to take the next step in our relationship, but I see now that we need to have a more in-depth conversation about boundaries and expectations first.\n[00:22 - 00:25] Speaker A: I get that, but it's just a lot to take in all at once.\n[00:26 - 00:32] Speaker B: Yeah, I understand. But like I said, we can go as slow as you want. We don't have to do anything you're not comfortable with.\n[00:33 - 00:35] Speaker A: Okay. Thank you for understanding."
+  },
+  {
+    "key": "SODA_PROCESSED--train--905725",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--905725.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Wow, this is an amazing city! I can't believe I'm finally here!\n[00:05 - 00:15] Speaker B: Yeah, it's pretty great. There's so much to see and do, from historical sites to modern attractions that showcase the city's rich cultural heritage and vibrant contemporary art scene.\n[00:09 - 00:14] Speaker A: I know! I've only been here for a day and I already feel like I've seen so much.\n[00:16 - 00:23] Speaker B: Well, you're on the right tour. We'll show you all the best that this city has to offer, including some iconic landmarks you won't want to miss.\n[00:23 - 00:31] Speaker A: Actually, I was wondering if we could start with some of the less touristy spots? I really want to experience the local culture.\n[00:31 - 00:46] Speaker B: Absolutely! We can definitely include some hidden gems in the tour that will give you an authentic taste of daily life here  and introduce you to some amazing local artisans, family-run eateries, and neighborhood traditions that most visitors never get to experience."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1030006",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1030006.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:02] Speaker B: Not much, what's up with you?\n[00:03 - 00:14] Speaker A: Just trying to stay in control. I can't stand it when things are out of my hands, especially when it comes to important projects that require meticulous planning and attention to detail.\n[00:08 - 00:13] Speaker B: Sorry to jump in, but when you say \"out of your control,\" do you mean at work or just in general?\n[00:14 - 00:22] Speaker A: Mostly in general, but work definitely adds to it. It's like you're constantly on edge, waiting for something to go wrong.\n[00:23 - 00:29] Speaker B: Yeah, I totally get that. And when it does go wrong, it feels like everything's spiraling. How do you manage to keep it all together?\n[00:30 - 00:34] Speaker A: Sometimes I don't even know myself. But I guess it's just who I am.\n[00:34 - 00:40] Speaker B: Well, I think you're amazing. To be able to handle all that stress and still function is really impressive.\n[00:40 - 00:44] Speaker A: Thank you. It's nice to know that someone sees me that way."
+  },
+  {
+    "key": "SODA_PROCESSED--train--719372",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--719372.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Dev. What're you watching?\n[00:03 - 00:14] Speaker B: Just this show I like. It's about a family of bears who live in the forest and go on all kinds of adventures together, learning important life lessons about friendship, teamwork, and respecting nature along the way.\n[00:07 - 00:16] Speaker A: Oh, that sounds cute. I remember when I used to watch shows like that with my little sister. We would always make up our own storylines for the characters.\n[00:16 - 00:27] Speaker B: Yeah, I do that too sometimes. But I also like just watching what happens on the\n[00:29 - 00:34] Speaker A: Do you think the show teaches anything valuable, like lessons about nature or family?\n[00:35 - 00:39] Speaker B: Yeah, it does actually. It's pretty educational while still being fun to watch.\n[00:40 - 00:47] Speaker A: That's good. It's important to use your imagination, but it's also good to just relax and take in what you're seeing too.\n[00:48 - 00:49] Speaker B: Yeah, I guess so.\n[00:49 - 00:51] Speaker A: Did you have a good day today?\n[00:51 - 00:55] Speaker B: Yeah, it was alright. I went to school and then came home.\n[00:56 - 00:58] Speaker A: Did anything exciting happen at school?\n[00:59 - 01:02] Speaker B: Not really. We had a test in math and I got an A+.\n[01:02 - 01:05] Speaker A: That's great! I'm so proud of you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--634390",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--634390.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I miss you so much, Brihanna. I love you.\n[00:03 - 00:05] Speaker B: I love you too, Jordy. I miss you too.\n[00:05 - 00:15] Speaker A: It's just not the same without you. I don't know what to do with myself when you're not around because everything feels empty and meaningless without your presence in my daily life.\n[00:08 - 00:13] Speaker B: Jordy, I know it's hard, but have you been able to talk to anyone about how you're feeling?\n[00:16 - 00:23] Speaker A: Not really, I just—it's like no one else understands. But I was going to say, I don't know what to do to feel better.\n[00:24 - 00:28] Speaker B: Maybe we can figure out some small steps together? You don't have to do this alone.\n[00:28 - 00:33] Speaker A: That would help, Brihanna. I just need to feel like you're still with me somehow.\n[00:34 - 00:37] Speaker B: I'm always with you, Jordy. Even when it's tough, remember that."
+  },
+  {
+    "key": "SODA_PROCESSED--train--706051",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--706051.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: I'm sorry for what I did. I know it was wrong and I regret it.\n[00:04 - 00:10] Speaker B: Why did you feel like you had no other choice when there were clearly better options available to someone in your situation?\n[00:05 - 00:09] Speaker A: I was desperate. I need the money to support my family.\n[00:10 - 00:19] Speaker B: That's no excuse. There are other ways to get money besides robbing a store. What were you  thinking would happen after you did this terrible thing that would affect so many innocent people's lives?\n[00:20 - 00:25] Speaker A: I wasn't thinking. I was just desperate and panicked. I'm sorry, please don't arrest me.\n[00:25 - 00:34] Speaker B: Well, you're already under arrest so there's not much we can do about that now. You'll have to come with us down to the station and we'll figure everything out from there."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1131334",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1131334.wav",
+    "model_output": "[00:00 - 00:21] Speaker A: I went to the store and bought a case of 24 bottled waters, some non-perishable food items like granola bars and peanut butter, and a first aid kit with bandages, antibiotic ointment, and pain relievers, just in case anyone gets hurt. I also picked up some flashlights and extra batteries since we'll need those if the power goes out during the storm.\n[00:12 - 00:15] Speaker B: Wow, you really thought ahead! Why do you have all of this?\n[00:21 - 00:38] Speaker A: I was watching the news earlier and saw that there is a hurricane coming our way. I want to be prepared in case we lose power or  need to stay indoors for a few days without access to stores or emergency services, which often happens during severe weather events like this.\n[00:39 - 00:44] Speaker B: Oh, I didn't realize it was that serious. Do you think we need to do anything else to prepare?\n[00:44 - 00:54] Speaker A: Well, I've been through a hurricane before so I know how important it is to be prepared. Plus, I have a generator, so we should be all set if the power goes out."
+  },
+  {
+    "key": "SODA_PROCESSED--train--672051",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--672051.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Dude, what the hell? Why did you throw away all my cigarettes?\n[00:04 - 00:13] Speaker B: Because I don't want you to smoke anymore. It's bad for your health, and I care about you. We've been friends for years and I can't just watch you slowly destroy yourself like this.\n[00:07 - 00:14] Speaker A: I know it's bad, but it relaxes me, okay? It's one of the few things that helps me unwind after a long day.\n[00:15 - 00:27] Speaker B: Yehudis, come on. You know it's not good for you. Besides, don't you think your lungs would be a lot happier if you didn't keep putting them through this every day? Imagine how much better you'll feel when you can breathe properly again and have more energy.\n[00:27 - 00:32] Speaker A: I guess you're right, but it's really hard to quit. I've tried before, and it feels impossible.\n[00:33 - 00:36] Speaker B: I know it is. But I'm here to help you. We can do this together."
+  },
+  {
+    "key": "SODA_PROCESSED--train--676747",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--676747.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, have you seen that new video of the cat riding a bike?\n[00:04 - 00:06] Speaker B: No, I haven't! Let me check it out real quick.\n[00:07 - 00:12] Speaker A: Sorry to interrupt, but is this the same video you mentioned last week, or is it a new one?\n[00:13 - 00:16] Speaker B: It's a new one! Let me just pull it up real quick.\n[00:16 - 00:19] Speaker A: Oh my goodness, that is the cutest thing I've ever seen!\n[00:20 - 00:29] Speaker B: I know, right? And wait until you see the part where he does a flip off the ramp with perfect timing and lands gracefully on all four paws like a professional stunt performer.\n[00:24 - 00:28] Speaker A: A flip? How did they even manage to train a cat to do that?\n[00:30 - 00:37] Speaker B: They probably just trained him or something. But editing this video was really fun. I added some sound effects and made it into a gif too.\n[00:37 - 00:41] Speaker A: You're really good at editing videos! You should make a career out of it!\n[00:42 - 00:46] Speaker B: Yeah, I've been thinking about it. It's just so hard to find a job in that field.\n[00:47 - 00:51] Speaker A: Well, if you keep practicing and getting better, I'm sure you'll find something eventually."
+  },
+  {
+    "key": "SODA_PROCESSED--train--287169",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--287169.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Sarah, have you seen the news today?\n[00:02 - 00:04] Speaker B: No, I haven't. What's going on?\n[00:05 - 00:19] Speaker A: There's been a lot of talk about the new immigration law that was just passed in Congress after months of heated debates and negotiations between both political parties, with significant implications for border security and asylum seekers.\n[00:09 - 00:13] Speaker B: Oh, you mean the one that everyone's been debating about? What are your thoughts on it?\n[00:19 - 00:37] Speaker A: I'm not really sure. I know it's supposed to be helpful for people who are trying to come into the country legally, but I'm not sure if it will actually be effective or not. There are a lot of people who are against it, so we'll have to wait and see how public opinion shifts in the coming weeks.\n[00:37 - 00:42] Speaker B: Yeah, it's definitely a controversial topic. I wonder if the opposition will lead to any changes in the law.\n[00:43 - 00:48] Speaker A: We'll see what happens. It could go either way depending on how things unfold."
+  },
+  {
+    "key": "SODA_PROCESSED--train--277060",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--277060.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: I've been thinking a lot lately about my life and the way I've been handling my relationships and choices, especially how my actions might be affecting my emotional well-being and self-worth in the long run.\n[00:03 - 00:07] Speaker B: What do you mean? Are you talking about your relationships or something else?\n[00:12 - 00:20] Speaker A: Yeah, I've been sleeping around with a lot of different people and I don't feel good about it anymore. I want to change that.\n[00:20 - 00:24] Speaker B: Why? What's wrong with the way you're living if it's not making you happy?\n[00:25 - 00:31] Speaker A: It's just not satisfying anymore. I feel like there's more to life than just sleeping with different people.\n[00:32 - 00:33] Speaker B: So, what are you planning to do differently?\n[00:34 - 00:45] Speaker A: I'm going to start being more selective about who I sleep with. I want to make sure that I'm really attracted to them and that there's a connection there before anything happens.\n[00:45 - 00:50] Speaker B: That sounds like a good plan. I think you'll be happier if you're more selective about your partners.\n[00:50 - 01:02] Speaker A: Yeah, I think so too. I'm just tired of feeling like a piece of meat that everyone can use and then throw away. I want to make sure that I'm with someone who really cares about me.\n[01:02 - 01:05] Speaker B: I think that's a great idea. Good luck with it!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--737676",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--737676.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: Hey, Miraya. I'm sorry about what happened with the car last night. I was really angry and I didn't mean to take it out on your car like that, especially since it's your most valuable possession and you've always taken such good care of it. I know it was wrong, and I regret it deeply.\n[00:08 - 00:15] Speaker B: I understand, Stephon. But what exactly made you so angry? Was it something specific about what happened earlier in the week?\n[00:17 - 00:26] Speaker A: Yeah, it did. I was really mad at you for a while after that. But I know it wasn't your fault and I shouldn't have taken it out on your car like that.\n[00:26 - 00:44] Speaker B: Well, since you're being honest and apologetic about it, I don't think there's anything else you need to do other than maybe just be more mindful in the future about how you express your  emotions, especially when you're upset, because lashing out at objects or people never really solves the underlying issue and often makes things worse.\n[00:44 - 00:52] Speaker A: Absolutely, I'll work on that. And I really appreciate you being so understanding about this. Thanks for giving me the chance to talk it out."
+  },
+  {
+    "key": "SODA_PROCESSED--train--784738",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--784738.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: So, what do you think? Are we making a difference?\n[00:03 - 00:07] Speaker B: Absolutely! I can't believe how much better the neighborhood looks already.\n[00:07 - 00:22] Speaker A: Yeah, it's amazing what a little hard work can do. But we can't rest on our laurels – there's still a lot of work to be done, especially in the areas we haven't touched yet, like the abandoned lots and the community center that desperately needs renovation.\n[00:15 - 00:21] Speaker B: Speaking of work, do we have a plan for the next phase? I feel like we need to prioritize what needs to be tackled next.\n[00:22 - 00:32] Speaker A: Good point. We still need to focus on cleaning up the park and organizing the community garden. But it's worth it, if it means that we can make our neighborhood a better place to live.\n[00:33 - 00:36] Speaker B: Absolutely. I'm just glad that we're all working together to make this happen.\n[00:37 - 00:44] Speaker A: Me too. It's been a really great experience, getting to know my neighbors and working together towards a common goal.\n[00:44 - 00:48] Speaker B: Yeah, it definitely has. I think we're really making a difference here."
+  },
+  {
+    "key": "SODA_PROCESSED--train--221517",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--221517.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey. How are you doing today?\n[00:02 - 00:04] Speaker B: I'm doing all right, thanks for asking. How about you?\n[00:05 - 00:17] Speaker A: I'm hanging in there. It's been a tough week, but I'm trying to stay positive and push through by focusing on small victories and reminding myself that this challenging period won't last forever.\n[00:09 - 00:15] Speaker B: Is it work-related? You don't have to go into detail if you don't want to, but I'm here if you need to talk.\n[00:17 - 00:21] Speaker A: Yeah, it's work stuff. You know how it is.\n[00:21 - 00:29] Speaker B: Yeah, I know how it is. Work can be really stressful sometimes. But you seem like you're handling it well. You're strong, Jakeem.\n[00:29 - 00:37] Speaker A: Thanks. I appreciate that. I try to be strong, but sometimes it just feels overwhelming, and it's hard to keep everything together.\n[00:38 - 00:42] Speaker B: Sorry, but have you taken any time for yourself? Even just a little break might help.\n[00:43 - 00:48] Speaker A: I haven't really had the chance, but you're right. I should probably make that a priority."
+  },
+  {
+    "key": "SODA_PROCESSED--train--778704",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--778704.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey Chris. I saw what you did to my locker. That was really messed up.\n[00:04 - 00:15] Speaker B: Oh, come on Keon. It was just a little prank. No need to get so worked up about it. I didn't think it would upset you this much and I certainly didn't expect it to escalate into such a big deal between us.\n[00:09 - 00:15] Speaker A: A little prank? You totally ruined my stuff! I had to buy all new clothes because of you!\n[00:15 - 00:21] Speaker B: Keon, I'm sorry. I really am. I didn't mean to cause you any trouble. I thought it would just be a harmless joke.\n[00:22 - 00:26] Speaker A: Yeah, well you did. And now I'm going to make sure you pay for it.\n[00:27 - 00:28] Speaker B: What are you talking about?\n[00:28 - 00:34] Speaker A: You're going to be a laughing-stock in front of everyone. Just like how you made me feel when you ruined my locker.\n[00:35 - 00:37] Speaker B: Keon, please don't do this.\n[00:37 - 00:41] Speaker A: It's too late. You should have thought about that before you messed with me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--782660",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--782660.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: I'm so sorry I'm late, I had a really hard time finding parking.\n[00:04 - 00:07] Speaker B: That's okay, we'll just get started right away.\n[00:07 - 00:11] Speaker A: I feel really anxious, I don't like going to the dentist.\n[00:11 - 00:23] Speaker B: It's going to be okay, I promise. We'll just take a look at your teeth and then we can get you out of here as soon as possible while still ensuring we do a thorough examination to address any potential issues you might be experiencing.\n[00:17 - 00:21] Speaker A: I just can't help but feel nervous. Is there any way to make this quicker?\n[00:24 - 00:28] Speaker B: We'll do our best to be quick. So how have your teeth been feeling lately?\n[00:28 - 00:38] Speaker A: Fine, I guess. Just a little sensitive to cold  drinks and sometimes even when I breathe in cold air, especially in the mornings when the temperature drops significantly outside.\n[00:39 - 00:45] Speaker B: Sensitive to cold? That could indicate a few things. Have you been using any new dental products recently?\n[00:45 - 00:50] Speaker A: No, I haven't changed anything. But I was going to say that it's been happening more frequently."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1117467",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1117467.wav",
+    "model_output": "[00:00 - 00:19] Speaker A: John, can you believe it? I've composed a symphony that's been received so well! It feels like my name is becoming known all over the world, and I'm really excited about the opportunities this could bring, especially the chance to collaborate with other talented musicians and potentially perform at prestigious international venues.\n[00:08 - 00:14] Speaker B: That's incredible, Mica! But I have to ask, how are you managing all the sudden attention? It must be overwhelming.\n[00:19 - 00:38] Speaker A: It is a bit overwhelming, but I'm just grateful that people are enjoying my music. Composing has always been my passion, so it's great to be able to share that with others on such a large scale. I'm actually getting a lot of invitations lately to perform in different cities, and it's been hard to decide which ones to accept.\n[00:39 - 00:45] Speaker B: Invitations? That's amazing! Are you considering any of them seriously, or are you still weighing your options?\n[00:45 - 00:59] Speaker A: I'm definitely considering them. I'm thinking about doing more of that in the future. But whatever happens, I just want to keep making music that makes people happy and brings them joy. That's all that really matters to me in the end."
+  },
+  {
+    "key": "SODA_PROCESSED--train--934138",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--934138.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Alex. What's up?\n[00:02 - 00:03] Speaker B: Not much. Just enjoying the view.\n[00:04 - 00:07] Speaker A: Yeah, me too. It's really beautiful here, isn't it?\n[00:08 - 00:17] Speaker B: Yeah, it is. I'm really lucky to live in such a beautiful place with stunning landscapes that stretch for miles and breathtaking sunsets that paint the sky in vibrant colors every evening.\n[00:12 - 00:20] Speaker A: Speaking of which, do you ever worry about how much the area might change in the future? Like with new developments or more tourists?\n[00:20 - 00:30] Speaker B: I do think about that sometimes. But I was going to say, living here has made me appreciate nature a lot more. Anyway, if the area does change, I hope they preserve its natural beauty.\n[00:30 - 00:34] Speaker A: Absolutely. Preserving the nature here is so important."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1031234",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1031234.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey there! You seem to be enjoying that book.\n[00:03 - 00:05] Speaker B: Yeah, I am. It's really good.\n[00:05 - 00:06] Speaker A: What's it about?\n[00:07 - 00:18] Speaker B: It's about a girl who goes on an adventure to find her missing family, but she discovers a lot more about herself along the way and uncovers secrets about her ancestors that change her perspective on life completely.\n[00:10 - 00:16] Speaker A: Oh, that reminds me—do you think the story has any parallels with your own life or experiences?\n[00:18 - 00:26] Speaker B: Not really, but it's definitely engaging. I was going to say her missing father. The author does a great job of keeping the suspense.\n[00:26 - 00:31] Speaker A: That sounds like an interesting story. I bet you're excited to see what happens next.\n[00:31 - 00:34] Speaker B: Yeah, I can't wait to see how it ends.\n[00:34 - 00:36] Speaker A: Do you like reading books?\n[00:37 - 00:42] Speaker B: Yeah, I love reading. It's one of my favorite things to do when I want to unwind after a long day.\n[00:42 - 00:46] Speaker A: That's awesome! Do you have a favorite genre or author?\n[00:46 - 00:56] Speaker B: I enjoy a lot of different genres, but I was going to say reading is something I do to relax. I also like to go on walks, listen to music, and spend time with my family and friends."
+  },
+  {
+    "key": "SODA_PROCESSED--train--233562",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--233562.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: So, how've you been?\n[00:01 - 00:04] Speaker B: I've been good. Just busy with work and stuff.\n[00:04 - 00:11] Speaker A: Yeah, I know how that is. I've been busy too. But it's nice to have a break and just relax for a bit.\n[00:11 - 00:20] Speaker B: Yeah, definitely. So, what have you been up to lately? I've been really curious to hear about any new hobbies or adventures you might have started since we last talked.\n[00:14 - 00:19] Speaker A: Oh, I just remembered, I wanted to ask if you've started that new project you mentioned last time?\n[00:20 - 00:24] Speaker B: Oh, you know, just the usual. Work, hanging out with friends. Nothing too exciting.\n[00:24 - 00:30] Speaker A: Yeah, I hear you. I've been wanting to travel more lately though. Get out and explore new places.\n[00:31 - 00:34] Speaker B: Yeah, that sounds really fun! I'd love to do that too.\n[00:34 - 00:48] Speaker A: Yeah, maybe we can do that sometime soon. By the way, you were asking what I've been up to lately  I've been planning a couple of trips and working on some personal projects, including learning photography to document my travels better.\n[00:49 - 00:55] Speaker B: Oh right, I almost forgot! I wanted to say that traveling sounds amazing. Do you have any specific places in mind?\n[00:55 - 00:59] Speaker A: That would be great! I was thinking about maybe Europe or somewhere tropical."
+  },
+  {
+    "key": "SODA_PROCESSED--train--933257",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--933257.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's going on?\n[00:02 - 00:07] Speaker B: Oh, just telling a story about this monster I saw in the woods. It was huge! And so scary!\n[00:07 - 00:10] Speaker A: Really? What did it look like?\n[00:10 - 00:24] Speaker B: Well, it was hard to tell because it was so dark, but it seemed to be covered in fur and had these big sharp claws that looked like they could tear through anything, with long curved talons that gleamed even in the dim moonlight and left deep gouges in the tree trunks nearby.\n[00:16 - 00:24] Speaker A: Wait, did you manage to get a closer look? I mean, were you able to see any tracks or anything that might help identify it?\n[00:24 - 00:31] Speaker B: No, I was too scared to stick around and look for tracks. But it had these big sharp teeth, and it was just terrifying!\n[00:31 - 00:36] Speaker A: Wow, that sounds like quite a sight. Did you tell anyone else about it?\n[00:36 - 00:49] Speaker B: Yeah, I told the elders and they said they'd look into it. But I haven't heard anything since, so I'm not sure if they believe me or  they just think it was my imagination running wild despite all the physical evidence I described to them in great detail.\n[00:49 - 00:55] Speaker A: Maybe they're just being cautious. If they haven't gotten back to you, it might mean they're still investigating.\n[00:55 - 01:02] Speaker B: Yeah, maybe. Well, I'm sure they'll find something eventually. Thanks for listening."
+  },
+  {
+    "key": "SODA_PROCESSED--train--774546",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--774546.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what are you working on?\n[00:02 - 00:03] Speaker B: Just running some tests. You?\n[00:04 - 00:15] Speaker A: I'm analyzing some data. It's pretty interesting and I think it might reveal some unexpected patterns that could significantly impact our understanding of the market dynamics and consumer preferences.\n[00:07 - 00:10] Speaker B: Interesting? What kind of trends are you seeing?\n[00:16 - 00:31] Speaker A: Well, I'm not sure if it's anything groundbreaking, but I'm finding that the data supports  the hypothesis we had about customer behavior, particularly their purchasing patterns during seasonal changes and how they respond to different marketing strategies.\n[00:32 - 00:35] Speaker B: Wait, does that mean our initial assumptions were correct?\n[00:35 - 00:40] Speaker A: Yes, it seems so. I'm just happy to be able to contribute in some way.\n[00:40 - 00:42] Speaker B: Absolutely. Every little bit helps."
+  },
+  {
+    "key": "SODA_PROCESSED--train--734147",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--734147.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, August. Thanks for talking with me. How are you doing?\n[00:04 - 00:07] Speaker B: I'm doing alright, Keylin. How are you?\n[00:08 - 00:13] Speaker A: I'm good. Hey, I wanted to talk to you about what happened the other day at the fire.\n[00:13 - 00:26] Speaker B: Yeah, that was pretty crazy. I can't believe you were able to get my family out of there in such a short amount of time while the flames were spreading so rapidly and still managed to stay calm under all that pressure. It was like you knew exactly what to do.\n[00:18 - 00:26] Speaker A: Sorry, I just wanted to say, I really didn't do anything special. I just did what anyone else would have done in that situation.\n[00:26 - 00:34] Speaker B: Well, not everyone would have had the presence of mind to do what you did. You're a real hero, Keylin. My family and I owe you everything.\n[00:34 - 00:40] Speaker A: Don't worry about it, August. I'm just glad everyone is safe and sound now. That's all that matters to me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--391765",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--391765.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: I can't believe I forgot to schedule my interview. I'm so disappointed in myself.\n[00:05 - 00:09] Speaker B: It's not your fault, Brendin. Things happen. You can't beat yourself up over it.\n[00:09 - 00:23] Speaker A: But this was my dream job. I was so prepared and excited for it, having spent weeks researching the company and practicing my responses to potential interview questions to make the best possible impression.\n[00:12 - 00:20] Speaker B: Sorry to cut you off, but have you tried contacting them to explain the situation? Sometimes they might be understanding and give you another chance.\n[00:23 - 00:29] Speaker A: I haven't thought of that. But what if I don't get another chance? What if this is the only chance I had?\n[00:30 - 00:40] Speaker B: Brendin, stop panicking. You're going to make yourself sick if you keep this up. Just take a deep breath and relax. Everything will be okay. You might be surprised by their response.\n[00:40 - 00:45] Speaker A: I know you're trying to help, but it's hard to relax when it's something this important to me.\n[00:45 - 00:52] Speaker B: I understand, but you need to calm down. There's nothing you can do about it now. Just try to relax and let it go."
+  },
+  {
+    "key": "SODA_PROCESSED--train--185821",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--185821.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I can't believe you would do this to me!\n[00:02 - 00:03] Speaker B: What did I do?\n[00:04 - 00:16] Speaker A: You know what you did! You went behind my back and talked to my ex-boyfriend without even considering how that would make me feel or the boundaries we had clearly established about this exact situation.\n[00:09 - 00:16] Speaker B: Alexzandra, I'm sorry. I just thought maybe you could work things out with him. He's been calling and texting you a lot lately.\n[00:16 - 00:21] Speaker A: Help? How is talking to my ex-boyfriend behind my back supposed to help me?\n[00:21 - 00:27] Speaker B: I thought maybe if you two talked, it would give you some closure or at least clear the air. But I can see I was wrong.\n[00:27 - 00:34] Speaker A: That's because he wants to get back together with me! And now, thanks to you, he knows that I'm still interested in him!\n[00:35 - 00:39] Speaker B: I really didn't mean to hurt you, Alexzandra, but I was just trying to help.\n[00:39 - 00:43] Speaker A: Well, you did. And now I don't ever want to talk to you again!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--15103",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--15103.wav",
+    "model_output": "[00:00 - 00:17] Speaker A: Hey, Sarah! I'm so glad you're here. I've been dying to tell you all about my new diet. It's amazing, I've lost 10 pounds in just two weeks, and I can't believe how much energy I have now. My doctor actually approved the plan and said my blood work looks better than ever before.\n[00:08 - 00:17] Speaker B: Wow, 10 pounds? That's impressive, Ericka. But, are you sure this diet is safe? Sometimes rapid weight loss can be a bit concerning.\n[00:18 - 00:50] Speaker A: Yeah, I totally understand your concern, but I've been really careful about it. I did a lot of research before starting, and it's not just about losing weight; it's about feeling healthier overall. I mean, it was really hard at first, but once I got used to it, it was a breeze. Plus, now that I'm thinner, I feel so much better about myself. You should really try it too, Sarah. It's not as hard as you\n[00:51 - 01:01] Speaker B: Ericka, I appreciate the suggestion, but honestly, I'm really content with where I am right now. I think it's important to love our bodies as they are, don't you think?\n[01:01 - 01:09] Speaker A: I get that, Sarah, and self-love is so important. I just want you to feel as great as I do. But I totally respect your choice."
+  },
+  {
+    "key": "SODA_PROCESSED--train--271652",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--271652.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I'm sorry, I know you're disappointed.\n[00:02 - 00:10] Speaker B: It's okay, I understand that things don't always go as planned, especially when we've put in so much effort and preparation for this particular event.\n[00:04 - 00:08] Speaker A: No, it's not okay! I wanted to win so badly.\n[00:11 - 00:11] Speaker B: Why?\n[00:12 - 00:22] Speaker A: Because I don't like losing, and I know how much you wanted to win  and I didn't want to let you down after all the support and encouragement you've given me throughout this entire process.\n[00:23 - 00:30] Speaker B: I did, but honestly, what bothers me more is how much pressure we put on ourselves. Do you think we might be taking this too seriously?\n[00:31 - 00:38] Speaker A: Maybe, but it's hard not to when you're passionate about something. And I guess I just wanted us to have that moment together."
+  },
+  {
+    "key": "SODA_PROCESSED--train--649458",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--649458.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Sarah, I got a letter in the mail today. It was addressed to me, but it had your name on it too.\n[00:06 - 00:07] Speaker B: What does it say?\n[00:07 - 00:29] Speaker A: It's from someone named Mark Johnson. He says he's a friend of ours from college. He says he's been trying to reach us for years, but he didn't have our current address. He finally tracked us down through our college alumni network and found our contact information after searching through multiple databases and contacting several mutual acquaintances from our university days.\n[00:20 - 00:27] Speaker B: Wait, Mark Johnson? I don't remember anyone by that name from college. Are you sure he's talking about us?\n[00:29 - 00:38] Speaker A: That's what I thought was strange too. I don't remember him either. But the letter says we were good friends. He even has some old photos of us together.\n[00:39 - 00:41] Speaker B: That is weird. What does he want?\n[00:41 - 00:56] Speaker A: He wants to get together with us. He says he's in town for a few days and he would like to meet up with  us for coffee or dinner to reminisce about old times and discuss some important business opportunities he thinks we might be interested in based on our shared history.\n[00:57 - 01:02] Speaker B: Do you think this could be some kind of scam? I mean, why would he suddenly want to meet after all these years?\n[01:03 - 01:12] Speaker A: It crossed my mind too. But the letter seems genuine. He says he just wants to catch up with old friends. Still, I'm not sure if we should respond."
+  },
+  {
+    "key": "SODA_PROCESSED--train--420707",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--420707.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Hey, Stephan. I'm really sorry about breaking your vase. It was an accident.\n[00:06 - 00:07] Speaker B: What happened?\n[00:07 - 00:22] Speaker A: I was moving too fast and I accidentally knocked it over. I know how much you loved that vase and I feel really guilty about it because I remember how you always talked about its sentimental value and the memories attached to it from your grandmother's collection.\n[00:14 - 00:18] Speaker B: Wait, was it the one I got from my grandmother? The one with the blue patterns?\n[00:23 - 00:26] Speaker A: Yes, that one. I feel terrible about what happened.\n[00:27 - 00:30] Speaker B: It's not your fault. These things happen. Accidents happen.\n[00:30 - 00:35] Speaker A: Yeah, but still. I feel bad about it and I want to make it up to you somehow.\n[00:35 - 00:41] Speaker B: There's nothing you can do, Jamon. Just forget about it and move on. I don't want you to keep feeling bad about this.\n[00:42 - 00:52] Speaker A: I can't just forget about it, Stephan. That vase meant a lot to you. Are you sure there's nothing I can do? Please, let me try to make it right somehow.\n[00:52 - 01:03] Speaker B: Fine, if it will make you feel better, go ahead and try to make it up to me  by finding a similar vase or creating something meaningful that could honor the memory of my grandmother's cherished possession."
+  },
+  {
+    "key": "SODA_PROCESSED--train--795559",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--795559.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: Hey, Mom. I was thinking that I'd like to help out more around the house. Do you have any ideas about what I could do to make things easier for you? Maybe I could take over some of the weekly chores or help with meal preparation on weekends when I'm not busy with schoolwork.\n[00:06 - 00:13] Speaker B: Oh, that's great, Elly! Before I suggest anything, I just want to say how much I appreciate you offering to help out. It means a lot.\n[00:16 - 00:19] Speaker A: Thanks, Mom! So, do you have any ideas?\n[00:19 - 00:22] Speaker B: Well, let's see. How about taking the dog for a walk?\n[00:23 - 00:26] Speaker A: Yeah, that sounds like fun! Thanks, Mom!\n[00:27 - 00:29] Speaker B: You're welcome, Elly. Have a great time!\n[00:29 - 00:31] Speaker A: So, Mom, how was your day?\n[00:32 - 00:41] Speaker B: It was good. I got a lot  of things crossed off my to-do list including organizing the garage and finally getting around to sorting through those old boxes we've been meaning to go through for months.\n[00:41 - 00:46] Speaker A: Did you manage to get everything on your list done? I know you had a lot planned.\n[00:47 - 00:54] Speaker B: I did! I went to the grocery store, ran some errands, and then came home and made dinner. It was a busy day, but it feels good to have everything done."
+  },
+  {
+    "key": "SODA_PROCESSED--train--153751",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--153751.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: I've been thinking a lot lately about the meaning of life. Do you ever feel like it's just one big mystery?\n[00:06 - 00:13] Speaker B: I don't know. I guess I've never really thought about it that deeply. I tend to focus on the day-to-day rather than the bigger picture.\n[00:14 - 00:21] Speaker A: Really? I find it hard to believe you haven't had those moments where you just stop and wonder why we're here. Doesn't it ever cross your mind?\n[00:22 - 00:34] Speaker B: Well, maybe sometimes, but I think about it more in terms of what I can control, like my goals and how I can achieve them while also considering how they align with my core values and contribute to my overall sense of purpose in life.\n[00:28 - 00:40] Speaker A: Ah, so you're more focused on the tangible aspects of life. That makes sense. But don't you ever feel that even those goals might be influenced by something deeper, something we can't fully understand?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--221358",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--221358.wav",
+    "model_output": "[00:00 - 00:08] Speaker A: Hey! I haven't seen you in a while. How are you doing these days with all the changes happening at work and your plans for that big trip you mentioned last time we talked?\n[00:03 - 00:09] Speaker B: I'm good! But before we catch up, I just remembered—did you finish that project you were working on last month?\n[00:09 - 00:18] Speaker A: Oh, yes, I did! It was a lot of work, but thankfully it's done. I've been really busy with school and work, but I'm glad to have a break now.\n[00:18 - 00:27] Speaker B: Yeah, I know how that is. So what have you been up to  lately besides working on that project? I heard you were considering taking some classes at the community center too.\n[00:28 - 00:35] Speaker A: Actually, before I forget, I wanted to tell you about this new coffee shop I found. We should check it out sometime!\n[00:35 - 00:40] Speaker B: That sounds awesome! But first, do you want to go for a walk? I could use the fresh air.\n[00:41 - 00:43] Speaker A: Sounds great! Let's go."
+  },
+  {
+    "key": "SODA_PROCESSED--train--637306",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--637306.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I can't believe they're making us follow all of these rules.\n[00:03 - 00:05] Speaker B: I know, there are so many of them.\n[00:05 - 00:14] Speaker A: And they're so specific too. It's like they don't trust us to make decisions on our own without constant supervision and approval from multiple levels of management.\n[00:09 - 00:13] Speaker B: Do you think it's because someone messed up before? Maybe that's why they're being so strict now.\n[00:14 - 00:18] Speaker A: That could be it. But, we have to follow the rules or we'll get in trouble.\n[00:18 - 00:21] Speaker B: I don't see why we can't just use our common sense.\n[00:21 - 00:33] Speaker A: Well, I guess the rules are there for a reason. Maybe they've had some problems in the past with people not following the rules and causing serious issues or even safety concerns.\n[00:33 - 00:40] Speaker B: Problems are one thing, but it feels like we're being micromanaged. How are we supposed to work effectively under these conditions?\n[00:40 - 00:46] Speaker A: I get that. But, it still doesn't make me happy about having to follow all of these rules."
+  },
+  {
+    "key": "SODA_PROCESSED--train--531935",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--531935.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Wow... Just... Wow. I've never seen anything like it.\n[00:03 - 00:05] Speaker B: I know, right? It's so beautiful.\n[00:06 - 00:20] Speaker A: It's just so big and blue and... Endless. It feels like you could stare at it forever and never get tired of its beauty because every wave brings a new pattern and every sunset paints a different masterpiece across its vast surface.\n[00:12 - 00:18] Speaker B: Sorry, but do you think we'll ever get tired of this view? I mean, is it possible to get used to something this amazing?\n[00:20 - 00:28] Speaker A: I don't think so. There's just something about it that keeps drawing you in. It's like a piece of the sky fell down to earth.\n[00:28 - 00:35] Speaker B: Exactly! And the way the sun reflects off the water is just incredible. Every time I see it, it takes my breath away.\n[00:35 - 00:41] Speaker A: I know how you feel. The ocean is definitely one of nature's most amazing wonders.\n[00:41 - 00:47] Speaker B: I feel so happy and content just looking at it. It's like all my worries disappear when I'm here.\n[00:47 - 00:53] Speaker A: Oh, speaking of worries, do you think the weather might change later? It looks a bit cloudy on the horizon.\n[00:54 - 01:04] Speaker B: It could, but honestly, even if it does, I think the ocean will still have that calming effect. It's like the ocean has this magical power to make you forget all your troubles and just enjoy the moment."
+  },
+  {
+    "key": "SODA_PROCESSED--train--888611",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--888611.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Hey, do you know where the closest grocery store is? I'm new in town and feeling a little lost trying to find my way around and could really use some guidance from a local who knows the area well.\n[00:06 - 00:10] Speaker B: Oh, sure! It's just a few blocks down on 5th Street. Let me give you some directions.\n[00:12 - 00:16] Speaker A: Thank you so much! You're really kind. Do you live around here?\n[00:16 - 00:25] Speaker B: Yeah, I've lived here my whole life. It's a great neighborhood. There are lots of good places to eat nearby too, if you're looking for some recommendations, I can suggest a few.\n[00:25 - 00:32] Speaker A: Actually, I am! That would be awesome! I'm also looking for a job—do you know of any places hiring?\n[00:33 - 00:41] Speaker B: Well, there's the coffee shop on 4th Street that's always hiring. And there's also the bookstore down the street from there. They're always looking for part-time help.\n[00:42 - 00:47] Speaker A: Thank you so much! You've been such a big help already. I'm Audrie, by the way.\n[00:47 - 00:56] Speaker B: Nice to meet you, Audrie! I'm Denisse. Let me know if you need any more help settling in around here – it's always nice to have someone new to talk to in the neighborhood."
+  },
+  {
+    "key": "SODA_PROCESSED--train--633328",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--633328.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: I'm finished with the report. Overall, our sales are up compared to last quarter. I think we're on track to hit our targets for the year.\n[00:07 - 00:12] Speaker B: That's great news, Cael. Can you go into more detail about what areas saw the most growth?\n[00:12 - 00:32] Speaker A: Sure. Our biggest increase was in online sales, which were up by 30%. We also saw a 12% increase in brick-and-mortar sales, and a 5% increase in international markets, particularly in Europe and Asia where we've been implementing localized marketing strategies and expanding our distribution networks.\n[00:24 - 00:33] Speaker B: Sorry to interrupt, but I have a different opinion on international sales. Do you think the 5% increase is significant enough to focus on, or should we prioritize other areas?\n[00:34 - 00:56] Speaker A: That's a good point. We might need to evaluate our focus. However, I haven't finished explaining the reasons behind the growth in online sales. We've been investing a lot in our online presence, and I think it's starting to pay off. We've got a new website that's more user-friendly, and we're doing more social media campaigns that are targeted to specific demographics.\n[00:57 - 01:04] Speaker B: Social media marketing is crucial, but do we have the right team to handle the increased demand? Should we consider hiring more specialists?\n[01:05 - 01:22] Speaker A: That's something we should definitely consider. I also wanted to mention that the increase in brick-and-mortar sales is partly because we opened two new stores this quarter, and we're doing more promotions and  events in our existing stores that have been attracting a younger demographic and increasing foot traffic significantly.\n[01:23 - 01:28] Speaker B: That makes sense. Well, keep up the good work. I think we're on track for a very successful year."
+  },
+  {
+    "key": "SODA_PROCESSED--train--606362",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--606362.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi Lilyan! How are you today?\n[00:03 - 00:15] Speaker B: Hey Nehemiah! I'm doing alright, thanks for asking. I've just been really busy lately and I'm starting to feel a little stressed out with everything piling up, especially with final exams approaching and multiple project deadlines coming up next week.\n[00:09 - 00:16] Speaker A: Overwhelmed? I totally get that. Things have been pretty hectic for you lately. Do you want to talk about it?\n[00:16 - 00:38] Speaker B: Yeah, I guess so. It's just that everything seems to be happening all at once and I don't know how to keep up with it all. My classes are demanding, my extracurriculars are taking up more of my time than ever, and on top of all that I'm trying to maintain a social life. It's all just a lot  to handle, and I'm not sure where to start prioritizing when every responsibility feels equally urgent and important right now.\n[00:38 - 00:44] Speaker A: Have you tried cutting back on any activities? Maybe focusing on just the essentials for now could help?\n[00:45 - 00:49] Speaker B: I've thought about it, but it's hard to decide what to let go of. Everything feels important, you know?\n[00:50 - 00:55] Speaker A: Yeah, it sounds like it. Have you talked to anyone else about how you're feeling?\n[00:55 - 01:12] Speaker B: I've talked to my friends about it some, but they're all going through similar things so it's not like they can really relate or offer any helpful advice. And my parents are just telling me that I need to manage my time better and that I'll get used to the workload eventually. But it's not like that's easy to do when you're already feeling overwhelmed!\n[01:12 - 01:22] Speaker A: Absolutely not. It sounds like you could really use someone to talk to who understands what you're going through. Do you want me to see if we can find someone for you to talk to?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--22719",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--22719.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey Brittnay, I have a present for you!\n[00:02 - 00:03] Speaker B: What is it?\n[00:03 - 00:14] Speaker A: It's a new car! I wanted to surprise you with something special, knowing how much you've been wanting to upgrade your vehicle and all the hard work you've put in lately to deserve this amazing gift.\n[00:06 - 00:11] Speaker B: A new car? Are you serious? That's incredible! What kind of car is it?\n[00:14 - 00:20] Speaker A: It's a Tesla Model 3. I thought you'd love the electric features. I'm glad you like it.\n[00:20 - 00:26] Speaker B: Wait, there's more? You really didn't have to, but I'm curious—what's the other surprise?\n[00:26 - 00:33] Speaker A: A trip to the Bahamas! I figured it would be the perfect getaway for us to relax and celebrate your promotion in style.\n[00:33 - 00:36] Speaker B: That sounds amazing! Thank you so much, Catelynn!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--102351",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--102351.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Hey Dereon, can you help me with the dishes? I could really use a break from everything else that's been going on, especially with all the extra responsibilities I've taken on at work and home recently.\n[00:05 - 00:10] Speaker B: Of course, Uri, but before we start, do you need to talk about anything else? You seem a bit stressed.\n[00:11 - 00:25] Speaker A: Thanks, Dereon. I really appreciate it. These dishes have been piling up all week and I'm starting to feel  like I can't keep up with everything anymore, between my job, household chores, and trying to maintain some semblance of a social life.\n[00:26 - 00:33] Speaker B: Overwhelmed? I totally get it. Let's tackle this together, and maybe we can chat while we work. It might help ease some of that stress.\n[00:34 - 00:38] Speaker A: You're right. Thanks for your help, Dereon. I really appreciate it.\n[00:38 - 00:41] Speaker B: No problem, Uri. That's what friends are for."
+  },
+  {
+    "key": "SODA_PROCESSED--train--769683",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--769683.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: So, I won the money. I have $5 more now.\n[00:03 - 00:11] Speaker B: Wow, congratulations! How did you manage to win it? Was it from a lottery, a bet, or perhaps some kind of competition you entered recently?\n[00:06 - 00:11] Speaker A: Sorry, I just wanted to ask—did you win it from a game or something else?\n[00:11 - 00:13] Speaker B: I was just really lucky, I guess.\n[00:13 - 00:16] Speaker A: That's amazing! What are you going to do with the money?\n[00:17 - 00:21] Speaker B: I don't know. Maybe save it or put it towards something I've been wanting to buy for a while.\n[00:22 - 00:27] Speaker A: Or maybe treat yourself to something small? It's okay to enjoy a little, too.\n[00:27 - 00:30] Speaker B: That's a good idea. You should be careful with your money.\n[00:30 - 00:32] Speaker A: Yeah, I know."
+  },
+  {
+    "key": "SODA_PROCESSED--train--55746",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--55746.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: So, Andrey, how are you feeling about driving so far?\n[00:03 - 00:05] Speaker B: It's been a lot of fun. I'm really enjoying it.\n[00:06 - 00:22] Speaker A: That's great to hear! What do you think is the most challenging part of getting comfortable with driving in different weather conditions, especially when you encounter sudden changes like heavy rain or unexpected fog that can really test your reaction time and vehicle control skills?\n[00:10 - 00:16] Speaker B: I would say it's getting used to all the different controls in the car. It seems like there's a lot to remember and keep track of.\n[00:23 - 00:36] Speaker A: You're right, there are a lot of controls in a car. But with practice, it will become second nature to you. Just take your time and don't get overwhelmed by the number of things happening at once. Focus on one thing at a time.\n[00:36 - 00:42] Speaker B: Actually, speaking of not getting overwhelmed, do you have any tips for staying calm during stressful situations on the road?\n[00:43 - 00:56] Speaker A: Absolutely, staying calm is crucial. One thing that helps is to always plan ahead and stay aware of your surroundings. Also, remember that it's okay to take a deep breath and refocus if you start to feel stressed."
+  },
+  {
+    "key": "SODA_PROCESSED--train--514047",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--514047.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: So, what did you think of the concert?\n[00:02 - 00:08] Speaker B: It was amazing! I loved every minute of it. Taylor Swift is such an incredible performer. She always puts on a great show.\n[00:09 - 00:25] Speaker A: I know, right? She's just so talented and down to earth. I love how she interacts with her fans during her performances and makes everyone feel special by remembering small details about them and creating personalized moments that last a lifetime.\n[00:16 - 00:23] Speaker B: Sorry to jump in, but did you notice how she changed the setlist compared to her last tour? It was such a pleasant surprise.\n[00:25 - 00:34] Speaker A: Yes, I did! It kept things fresh and exciting. Speaking of interactions, she's really sweet. I met her once and she was so nice.\n[00:34 - 00:37] Speaker B: Oh, my gosh! You met her? That's amazing! What was she like?\n[00:38 - 00:47] Speaker A: She was really cool. We talked for a while and she signed my autograph. It was one of the best moments of my life; she was so down to earth.\n[00:48 - 00:51] Speaker B: Wait, you actually talked to her? What did you talk about?\n[00:52 - 00:58] Speaker A: We talked about her music and how much her songs mean to me. She was so genuine and it was awesome.\n[00:58 - 01:00] Speaker B: That sounds incredible! I'm so jealous."
+  },
+  {
+    "key": "SODA_PROCESSED--train--113543",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--113543.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Wow, I've never seen that kind of fruit before! What is it?\n[00:04 - 00:16] Speaker B: Oh, that's a dragonfruit. They're really popular right now, especially among health-conscious consumers who appreciate their high antioxidant content and unique texture that combines the creaminess of kiwi with the crunch of pear.\n[00:07 - 00:13] Speaker A: Oh, really? Why are they so popular right now? Is it because of their taste or something else?\n[00:17 - 00:25] Speaker B: It's a combination of things, really. They have a unique taste, and they're also quite nutritious. Plus, they look really striking, which makes them popular on social media.\n[00:26 - 00:29] Speaker A: That makes sense! I'll have to try one then! How much are they?\n[00:30 - 00:31] Speaker B: Just $3 each.\n[00:32 - 00:34] Speaker A: Okay, I'll take two please.\n[00:34 - 00:36] Speaker B: Great! Here you go. Enjoy!\n[00:37 - 00:38] Speaker A: Thanks! I will.\n[00:38 - 00:42] Speaker A: Mmm, this is really good! What did you say this was again?\n[00:43 - 00:44] Speaker B: A dragonfruit.\n[00:45 - 00:47] Speaker A: It's so sweet and juicy! I love it!\n[00:48 - 01:01] Speaker B: I'm glad you like it. We have a lot of people who come in and try them for the first time and end up  becoming regular customers because they discover how versatile the fruit is - perfect for smoothies, salads, or just eating fresh with a spoon.\n[01:01 - 01:09] Speaker A: Oh, I can totally see that happening! It's such a unique flavor. I'll definitely be back for more. Thanks again!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--635774",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--635774.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: I'm going to make my move.\n[00:02 - 00:02] Speaker B: What's your plan?\n[00:03 - 00:12] Speaker A: I'm going to go talk to Jack about his recent behavior and how it's affecting not just him but everyone around him who cares about his wellbeing.\n[00:05 - 00:09] Speaker B: Why? What are you hoping to understand from him or achieve by talking to him?\n[00:12 - 00:23] Speaker A: Sorry, I should have been clearer. I'm hoping that I can talk some sense into him. He's obviously in over his head and if he doesn't get help soon, things are going to get worse for him.\n[00:24 - 00:31] Speaker B: What makes you think you can actually get through to him when  others have tried and failed to make him see reason despite their best efforts and multiple interventions?\n[00:31 - 00:37] Speaker A: I don't know if I can, but I have to try. He's my friend and I care about him."
+  },
+  {
+    "key": "SODA_PROCESSED--train--692789",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--692789.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: Hey, Sarah. I just finished painting the fence white and I feel really accomplished. It looks so nice and clean now!\n[00:07 - 00:18] Speaker B: That's great, Skai! I can imagine how satisfying it must feel to see the fruits of your hard work pay off after putting in all that effort and seeing such a dramatic transformation in your outdoor space.\n[00:13 - 00:21] Speaker A: Actually, it is! But you know what? I just realized I might have missed a spot on the back side. Do you think I should go back and check?\n[00:21 - 00:30] Speaker B: Hmm, it might be worth double-checking, especially if you want everything to look perfect. But even if you missed a spot, you still did a great job overall. I'm sure your dad is proud of you.\n[00:31 - 00:39] Speaker A: Yeah, he is. He always tells me that hard work pays off in the end, and I'm glad I was able to prove him right with this project.\n[00:39 - 00:50] Speaker B: That's terrific! Your dad is definitely wise to say that hard work pays off. It's so true in life in general—if you want something badly enough and are willing to put in the effort, you can achieve it.\n[00:50 - 00:59] Speaker A: Speaking of putting in effort, I was thinking about tackling the garage next. It's a bit of a mess, but I feel motivated after finishing the fence.\n[00:59 - 01:10] Speaker B: That sounds like a great idea! With your determination and the"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1188579",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1188579.wav",
+    "model_output": "[00:00 - 00:15] Speaker A: Hey, I just saw a post on Facebook from my old boss. They're downsizing and my position has been eliminated. I'm out of a job, and it feels like everything just came crashing down so suddenly without any warning or chance to prepare for this major life change.\n[00:07 - 00:09] Speaker B: Oh no, Camrynn! What are you going to do now?\n[00:16 - 00:23] Speaker A: I don't know. I'll have to look for another job, I guess. But it's not going to be easy with the current state of the economy.\n[00:23 - 00:34] Speaker B: Do you want to move back in with your parents? You could save some money that  would otherwise go towards rent, and it might give you some breathing room while you figure out your next career move and get back on your feet financially.\n[00:34 - 00:46] Speaker A: No, Kaitlyn, I don't want to do that. I'm a grown man and I can take care of myself. Plus, they live in a different state and it would be too much of a hassle to move all my stuff there.\n[00:46 - 00:51] Speaker B: Well, you could always stay with me. I have a spare bedroom and we could help each other out financially.\n[00:52 - 01:00] Speaker A: Thanks, Kaitlyn. I appreciate your offer, but I think I'll be okay. I'll start looking for another job and hopefully everything will work out."
+  },
+  {
+    "key": "SODA_PROCESSED--train--233660",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--233660.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: I just don't get it. I mean, I studied and every time I think I understand, something new comes up that confuses me about the complex political and economic factors that led to the revolutionary movement gaining momentum among the colonists despite their previous loyalty to the British crown.\n[00:11 - 00:16] Speaker B: Yeah, I don't get it either. What was the point of the American Revolution?\n[00:16 - 00:20] Speaker A: I don't know. To gain independence from Britain or something?\n[00:20 - 00:24] Speaker B: But why? I mean, they seemed like they had things pretty good. Why give that up?\n[00:25 - 00:29] Speaker A: Beats me. Maybe they were just tired of being under British rule?\n[00:29 - 00:38] Speaker B: That must have been it. But it seems like such a big price to pay. All those people dying for a cause that maybe not everyone fully understood at the time.\n[00:38 - 00:44] Speaker A: You know, I was thinking the same thing. It's like, was it really worth all that sacrifice?\n[00:44 - 00:47] Speaker B: Yeah, I guess so. It's all kind of confusing.\n[00:47 - 00:51] Speaker A: Yeah. Maybe we should ask the teacher about it tomorrow.\n[00:51 - 00:52] Speaker B: Good idea."
+  },
+  {
+    "key": "SODA_PROCESSED--train--932676",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--932676.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Joe. How are things going?\n[00:02 - 00:04] Speaker B: Things are going well, Bennett. How are you?\n[00:05 - 00:08] Speaker A: I'm doing well, thanks. So, what's new?\n[00:09 - 00:22] Speaker B: Well, we've been getting a lot of good feedback on your recent performances. Your fans seem to really enjoy your unique connection with the audience during live shows, especially how you engage them with spontaneous improvisations and heartfelt storytelling between songs.\n[00:15 - 00:21] Speaker A: Speaking of fans, I was wondering if we should organize a meet-and-greet event soon. What do you think?\n[00:23 - 00:32] Speaker B: That's a great idea! But I was about to mention that your style of playing is what's really resonating with them. We've also been getting a lot of interest from record labels who want to sign you.\n[00:33 - 00:42] Speaker A: Really? That's great news! I'm definitely interested in signing with a label so that I can reach even more people with my music. Thanks for letting me know, Joe."
+  },
+  {
+    "key": "SODA_PROCESSED--train--43736",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--43736.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Thank goodness I was there to help! Are you okay?\n[00:03 - 00:05] Speaker B: Yes, thank you. I'm fine now.\n[00:05 - 00:09] Speaker A: That was a close call! What were you doing on the bridge?\n[00:09 - 00:23] Speaker B: I was just out for a walk when I slipped and fell. If you hadn't been there to catch me, I would have fallen into the river and been swept away by the strong current, possibly hitting rocks or getting trapped under the water for several terrifying minutes before anyone could reach me.\n[00:14 - 00:20] Speaker A: Sorry, just to be sure, are you feeling dizzy or anything? Maybe we should get you checked out.\n[00:23 - 00:30] Speaker B: No, no, I'm really okay, just a bit shaken. I was saying I would have drowned for sure. Thank you so much for saving my life.\n[00:30 - 00:36] Speaker A: It was no problem. I'm just glad I could help. Do you want me to walk you home?\n[00:36 - 00:39] Speaker B: No, thank you. I think I'll be okay now. Thanks again for everything."
+  },
+  {
+    "key": "SODA_PROCESSED--train--297496",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--297496.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, friend! How are you doing today?\n[00:02 - 00:12] Speaker B: I'm doing well, thanks for asking. How about you? You seem pretty busy as you always have so much on your plate lately with all your commitments and responsibilities piling up one after another.\n[00:07 - 00:13] Speaker A: Yeah, I've just been really busy lately with school and work. I'm just trying to get everything done that I can.\n[00:14 - 00:20] Speaker B: That sounds tough. I know you're a go-getter though, so you'll definitely be able to accomplish everything you set your mind to.\n[00:20 - 00:36] Speaker A: Thanks, friend. Just knowing that you believe in me makes me feel more confident. But it's not always easy, especially when  there's so much pressure from all sides including professors, bosses, and even family expectations that can feel overwhelming at times.\n[00:36 - 00:43] Speaker B: Especially when things get overwhelming, right? I totally get it. Is there anything specific that's been weighing on you more than usual?\n[00:43 - 00:49] Speaker A: Yeah, it's mostly the deadlines for school. I feel like I'm constantly racing against the clock.\n[00:50 - 00:55] Speaker B: Well, if there's anything I can do to help you out, please let me know. I'm always here for you, Amit."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1076439",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1076439.wav",
+    "model_output": "[00:00 - 00:09] Speaker A: Hey, happy birthday! It's been a while since I've had a chance to catch up with you and I was really looking forward to hearing about all the exciting things happening in your life.\n[00:03 - 00:07] Speaker B: Hey, thanks for coming! Yeah, it's been a few years. How have you been?\n[00:10 - 00:18] Speaker A: I've been good. Just working and living the normal life, nothing too exciting. What about you? How have you been since I last saw you?\n[00:18 - 00:29] Speaker B: I've been good too. Just graduated college and started my first real job. It's a lot of work, but  I'm really learning a lot and growing professionally while also making valuable connections in my industry.\n[00:30 - 00:33] Speaker A: Oh wow, congrats on the new job! What kind of work are you doing?\n[00:34 - 00:41] Speaker B: Thanks! I'm working in marketing for a tech company. It's been challenging but rewarding. I was about to say, it's a lot of work, but I'm enjoying it.\n[00:41 - 00:48] Speaker A: That sounds great! Congratulations on graduating college and getting a job. That's a big accomplishment these days.\n[00:49 - 00:54] Speaker B: Thanks, I worked hard for it and I'm glad it's paying off. So what have you been up to lately? Anything new and exciting?\n[00:55 - 01:00] Speaker A: Not too much, just the usual. I did just get a new car though, so that's been exciting.\n[01:01 - 01:03] Speaker B: That's great! What kind of car did you get?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--686928",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--686928.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Wow, that's a really long sentence.\n[00:03 - 00:05] Speaker B: I know. It's hard to keep up with you sometimes.\n[00:06 - 00:10] Speaker A: You're doing great. I'm just happy to be able to talk with you.\n[00:10 - 00:14] Speaker B: I'm happy to talk with you too. You always make me feel so comfortable.\n[00:14 - 00:28] Speaker A: That's good to hear. I want you to feel comfortable around me. So, what's been going on in your life lately? I've been curious to hear about any new hobbies you might have picked up or interesting experiences you've had since we last caught up properly.\n[00:21 - 00:28] Speaker B: Sorry to interrupt, but I just remembered I wanted to ask if you had any tips for managing a heavy workload? I'm really struggling with my classes.\n[00:28 - 00:53] Speaker A: Well, school has been keeping me pretty busy. I'm taking a lot of classes this semester and it's been a lot of work. One tip I have is to prioritize your tasks and break them into smaller, more manageable pieces. But I haven't yet asked you about your own methods  for handling your workload, especially when dealing with multiple deadlines and challenging assignments that require different approaches to studying and preparation.\n[00:53 - 01:00] Speaker B: Oh, prioritizing sounds like a good idea! I also try to set specific goals for each study session. What do you think about that approach?\n[01:01 - 01:09] Speaker A: I think setting specific goals is an excellent strategy. It helps keep you focused. By the way, I admire how driven you are."
+  },
+  {
+    "key": "SODA_PROCESSED--train--926731",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--926731.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: Hey, I'm sorry about what happened earlier. I didn't mean to upset you, and I really value our friendship because you've always been there for me during tough times and I don't want to lose that connection over a simple misunderstanding.\n[00:04 - 00:10] Speaker B: No, I get it. But I have to ask, do you think we should maybe talk through what happened a bit more before we just move on?\n[00:13 - 00:20] Speaker A: It's okay, I overreacted. I'm sorry too. And you're right, maybe we should clear the air a bit more.\n[00:20 - 00:25] Speaker B: Yeah, I guess we both did. But it's important that we're on good terms with each other, right?\n[00:25 - 00:28] Speaker A: Absolutely. We're a team, after all.\n[00:28 - 00:32] Speaker B: Exactly. So let's just forget about what happened and move on, okay?\n[00:32 - 00:33] Speaker A: Sounds good to me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--977434",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--977434.wav",
+    "model_output": "[00:00 - 00:18] Speaker A: Sarah, things are going really well for me right now. I have a great job, a nice place to live, and a bright future ahead of me. I'm so grateful for everything that's been happening lately, especially with the recent promotion at work and the new opportunities that have opened up for me in the past few months.\n[00:10 - 00:16] Speaker B: That's amazing to hear, Sierrah! But I have to ask, how are you managing to balance everything? I know how demanding your job can be.\n[00:18 - 00:38] Speaker A: It's definitely a challenge, but I've been focusing on time management and setting clear priorities. I was about to say I'm also really thankful for the support from friends like you  because without your encouragement and the occasional pep talks when I'm feeling overwhelmed, it would be much harder to stay motivated and focused on my goals.\n[00:39 - 00:45] Speaker B: And you know I'll always be here to support you! But do you think you'll have time to catch up this weekend? It sounds like you could use a break."
+  },
+  {
+    "key": "SODA_PROCESSED--train--927063",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--927063.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Hey, I was just looking for some shampoo and I saw your suitcase and noticed it was almost full with clothes and toiletries neatly arranged. Are you bringing a lot of stuff for your upcoming trip?\n[00:03 - 00:08] Speaker B: Oh, sorry, I was just packing it up. Did you find everything you were looking for?\n[00:11 - 00:25] Speaker A: Yeah, I think so. I'm just double-checking to make sure I didn't forget anything. By the way, do you need any help with your packing? I've been to Maleek a few times and I know my way around pretty well.\n[00:26 - 00:32] Speaker B: Thanks, but I think I've got it covered. But actually, now that you mention it, do you have any tips on what I should definitely bring?\n[00:32 - 00:47] Speaker A: Sure! I'd recommend bringing some lightweight clothing because it can get really hot there. Also, don't forget sunscreen—it's a must  since the sun can be pretty intense, especially during midday when UV rays are strongest and you'll likely be exploring outdoor attractions.\n[00:48 - 00:51] Speaker B: Got it. Thanks for the heads-up. I'll be sure to pack those."
+  },
+  {
+    "key": "SODA_PROCESSED--train--778927",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--778927.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I can't find my keys! I've looked everywhere.\n[00:03 - 00:04] Speaker B: Where did you last see them?\n[00:05 - 00:19] Speaker A: I had them in my hand when I came in the house. I put my purse down on the counter and now they're nowhere to be found. I don't understand how they just disappeared, especially since I clearly remember holding them when I walked through the front door just a few minutes ago.\n[00:10 - 00:16] Speaker B: Wait, did you check inside your purse? Sometimes we accidentally drop things in there without realizing.\n[00:20 - 00:28] Speaker A: Oh, I didn't think of that. Let me check... No, they're not in there. Let's retrace my steps. Where did I go after I came in?\n[00:29 - 00:34] Speaker B: Nowhere! I just came in and put my purse down. Then I started looking for my keys and they were gone.\n[00:34 - 00:39] Speaker A: Hmm, well maybe you left them outside. Did you lock the door when you came in?\n[00:39 - 00:48] Speaker B: Yes, I always lock the door. But maybe I didn't have them with me when I locked it. Oh no, what if I lost them somewhere between my car and the front door? I might have dropped them without noticing.\n[00:48 - 00:59] Speaker A: Between your car and the house? That's possible. Okay, don't panic. We'll find them. Let's start by checking outside to see if they're around your car or near the house anywhere.\n[01:00 - 01:04] Speaker B: Okay, good idea. I'll check around my car and you can look near the house.\n[01:04 - 01:05] Speaker A: Sounds like a plan."
+  },
+  {
+    "key": "SODA_PROCESSED--train--991838",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--991838.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Wow, that was an amazing trick! How did you do it?\n[00:03 - 00:14] Speaker B: It's a secret. But I can tell you that it involves sleight of hand and a lot of practice to perfect the timing, along with understanding human psychology and how people naturally follow movement patterns.\n[00:08 - 00:12] Speaker A: Wait, sleight of hand? Does that mean it's all about speed and dexterity?\n[00:15 - 00:23] Speaker B: Exactly, that's a big part of it. But misdirection is just as important. Can you guess how I made you focus on my left hand while the trick was happening in my right?\n[00:23 - 00:28] Speaker A: Misdirection? Like making people look somewhere else while you do the trick?\n[00:28 - 00:32] Speaker B: Yes, precisely. And if you practice, I think you'll be able to learn it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--12295",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--12295.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: So, how was your day today?\n[00:02 - 00:07] Speaker B: It was pretty good. I got a lot done at work and then went out with some friends for a bit. How about you?\n[00:07 - 00:23] Speaker A: I had a pretty good day too. I went out to eat with some friends and then came here to meet you. So, what did you do today that was so productive at work? Did you manage to complete all your tasks ahead of schedule or were there any unexpected challenges that came up during the day?\n[00:15 - 00:20] Speaker B: Oh, before I forget, did you manage to finish that report you were working on last week?\n[00:24 - 00:32] Speaker A: Yes, I finished it yesterday. But as I was saying, after work, I met up with some friends. We walked around the city for a bit and then got coffee.\n[00:33 - 00:37] Speaker B: That sounds like a pretty fun day. I wish I could have gone with you guys.\n[00:37 - 00:41] Speaker A: Yeah, it would have been fun if you were there. Maybe next time."
+  },
+  {
+    "key": "SODA_PROCESSED--train--911067",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--911067.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: Hey, friends! Thank you so much for the gifts. I really appreciate the thoughtfulness behind each one of them and how perfectly they match my interests and personality - it shows how well you know me!\n[00:04 - 00:08] Speaker B: Sorry to jump in, but we were just so happy to help out. It's the least we could do.\n[00:12 - 00:26] Speaker A: Actually, I wanted to do something for you in return. So, I went out and bought a gift for each of  you to show how much your kindness means to me, spending hours carefully selecting items I knew would bring you genuine joy and appreciation.\n[00:27 - 00:28] Speaker B: Rhett, you didn't have to do that!\n[00:29 - 00:34] Speaker A: I know, but I wanted to. So, here you go. (Gives each friend a gift.)\n[00:34 - 00:37] Speaker B: Thank you, Rhett! This is really thoughtful of you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--273875",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--273875.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: Mmmm, this apple is delicious! I can't believe how good it tastes, especially since I usually don't like apples this much - the perfect balance of sweetness and crispness makes it absolutely irresistible.\n[00:04 - 00:09] Speaker B: Sorry to jump in, but where did you get it? I've been looking for a place with good produce.\n[00:13 - 00:21] Speaker A: I got it from the grocery store down the street. They have really good produce there. Oh, and I was going to say the taste is just amazing.\n[00:22 - 00:26] Speaker B: That's definitely a good place to get apples then. Did you get any other fruit?\n[00:26 - 00:33] Speaker A: Yeah, I got a bunch of other stuff. They had some really good-looking oranges, so I got a few of those too.\n[00:33 - 00:36] Speaker B: Oranges are definitely a good choice. Did you get anything else?\n[00:37 - 00:44] Speaker A: I got some bananas and grapes. I was going to get some more apples, but I only had enough money for what I got.\n[00:44 - 00:48] Speaker B: That's still a lot of fruit. You must have spent quite a bit of money.\n[00:48 - 00:55] Speaker A: Yeah, it was around $20 or so, which I thought was a pretty good deal for the amount of fruit I got.\n[00:55 - 01:00] Speaker B: Wait, $20? That's actually pretty reasonable. Did you get any other groceries with that?\n[01:01 - 01:06] Speaker A: Just some basics like bread and milk. I didn't really need much else since I just moved here.\n[01:06 - 01:12] Speaker B: That makes sense. Moving can be expensive enough as it is without having to buy all new groceries on top of that."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1122880",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1122880.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: So, I wrote a letter to the editor of our local paper about the animal abuse that's been going on.\n[00:06 - 00:15] Speaker B: Really? What made you do that? Was there a specific incident that pushed you to take action or was it more of a gradual buildup of frustration over time?\n[00:08 - 00:16] Speaker A: I just couldn't stand seeing animals being treated so badly and not doing anything about it. If we don't speak up for them, who will?\n[00:17 - 00:28] Speaker B: That's true. But it takes a lot of courage to put your beliefs out there like that, especially in a public forum where you might face criticism from people who don't share your views or understand the severity of the situation.\n[00:28 - 00:38] Speaker A: I know it's not easy, but if we want to make a difference, we have to be willing to stand up for what we believe in and be vocal about it. Otherwise, nothing will change.\n[00:38 - 00:44] Speaker B: You're right. We need more people like you who are willing to speak out and fight for what's right. Thank you for doing this."
+  },
+  {
+    "key": "SODA_PROCESSED--train--352805",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--352805.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Hi, welcome! Come on in, make yourselves comfortable. Can I get you anything to drink?\n[00:05 - 00:07] Speaker B: Oh, thank you. Water would be great.\n[00:08 - 00:25] Speaker A: Of course. Let me just put these things down and I'll be right back with your water. Make yourselves at home, there's plenty of food if you're feeling peckish, including some fresh homemade bread, assorted cheeses, and a variety of seasonal fruits that I picked up from the farmer's market this morning.\n[00:16 - 00:20] Speaker B: Actually, I wanted to ask, did you make that dip we loved from last time?\n[00:25 - 00:35] Speaker A: Yes, I did! It's right over there on the table. I was just going to say, if you're hungry, help yourselves to some appetizers. I'll get your water in a moment.\n[00:36 - 00:40] Speaker A: Sorry for the wait, the food is ready now. I hope you're all hungry!\n[00:41 - 00:42] Speaker B: Everything smells fantastic!\n[00:43 - 00:47] Speaker A: I'm so glad you like it. Let's start serving before it gets cold.\n[00:47 - 00:52] Speaker B: Oh, before we start, could you remind me what spices you used? The aroma is just incredible!\n[00:53 - 00:59] Speaker A: Sure! I used a mix of rosemary, thyme, and a bit of paprika. Now, let's dig in and enjoy!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--511668",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--511668.wav",
+    "model_output": "[00:00 - 00:09] Speaker A: I absolutely love my car. It's just so luxurious and comfortable to drive. I mean, every time I get in it I just feel like a million bucks.\n[00:09 - 00:14] Speaker B: Wow, it sounds like you really love your car! How much did you say it cost you again?\n[00:15 - 00:32] Speaker A: Nearly $300,000. But honestly, it was worth every penny. Plus, I got a great deal on it since I bought it from a previous owner who had taken great care of it and maintained all the service records meticulously, which gave me complete peace of mind about the purchase.\n[00:23 - 00:27] Speaker B: Sorry to interrupt, but did you consider any other models before deciding on this one?\n[00:32 - 00:50] Speaker A: I did look at a few other options, but none of them had the same appeal. However, I haven't mentioned why I chose to buy it used  because I felt it was a smart financial decision given the depreciation on new cars and the fact that luxury vehicles often lose significant value in just the first year of ownership.\n[00:51 - 00:58] Speaker B: Oh, buying it used makes sense. But I still can't imagine spending that much on a car, even if it is a Rolls Royce Ghost Series II!\n[00:59 - 01:09] Speaker A: Yeah, it was definitely a big purchase. But like I said, it was worth it to me. I just enjoy driving it so much and it makes me feel good when I'm in it.\n[01:10 - 01:16] Speaker B: Well, I'm glad you're happy with your purchase. It sounds like you made a great choice with the Rolls Royce Ghost Series II!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--855653",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--855653.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Hey, Nyles. Do you need any help in the bathroom? I can get you a towel or help you to the shower if you need assistance with adjusting the water temperature or finding your toiletries.\n[00:05 - 00:12] Speaker B: Sorry to interrupt, but I just remembered, did you check if we have enough clean towels? I can grab some from the storage if needed.\n[00:13 - 00:20] Speaker A: No, I'm okay. Thanks, though. But about the towels, I think we're running low. Could you get some more?\n[00:20 - 00:23] Speaker B: Sure thing. Are you sure? I don't mind helping out.\n[00:23 - 00:29] Speaker A: I appreciate the offer, but I think I've got it covered. Thanks anyways.\n[00:29 - 00:32] Speaker B: Okay. Well, let me know if you need anything.\n[00:32 - 00:35] Speaker A: Will do. Thanks, Ayat.\n[00:35 - 00:43] Speaker B: So Nyles, do you need help with laundry? I can get the laundry basket for you and bring it to the laundry room so we can start sorting the clothes.\n[00:44 - 00:50] Speaker A: Actually, I was thinking, should we sort the clothes first? It might save us some time later.\n[00:50 - 00:51] Speaker B: That would be great, thanks!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1129671",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1129671.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Wow, you're really good at this!\n[00:02 - 00:04] Speaker B: Thanks! I've been playing for a while.\n[00:04 - 00:16] Speaker A: I can tell. You're so natural at it. I wish I could play like you, but I guess I just need more practice to get there and develop the same level of fluidity and precision in my movements.\n[00:09 - 00:16] Speaker B: Hey, don't sell yourself short. It's not that difficult, honestly. Anyone can learn if they put their mind to it and practice enough.\n[00:17 - 00:24] Speaker A: Yeah, but it seems like you have a real gift for it. I don't know if I could ever be that skilled, even with practice.\n[00:25 - 00:28] Speaker B: Maybe I can give you some lessons sometime? Help you get started?\n[00:28 - 00:31] Speaker A: Seriously? You'd do that for me?\n[00:31 - 00:34] Speaker B: Of course! I'd love to help you out. Playing together would be fun too.\n[00:35 - 00:40] Speaker A: That would be amazing! Thank you so much, Neiko. I really appreciate it.\n[00:40 - 00:43] Speaker B: Don't mention it. Now let's get back to playing!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--559740",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--559740.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: I can't believe we're finally here! I've been waiting forever to see them live and now that the moment has arrived, I'm practically shaking with excitement as the lights dim and the crowd erupts in anticipation of the show starting any second now.\n[00:08 - 00:15] Speaker B: I know, me too! I'm so excited. I wonder what they'll play first. Maybe they'll open with a classic hit to get everyone hyped.\n[00:15 - 00:19] Speaker A: Do you think they'll start with something upbeat or maybe something more mellow?\n[00:20 - 00:28] Speaker B: Oh, I hope they play all of my favorites. I would die if they didn't play 'Desert Rose'. That's my favorite song of theirs. It always gives me chills every time I hear it.\n[00:28 - 00:35] Speaker A: 'Desert Rose' is amazing! But what if they surprise us with a new track? That would be incredible, right?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--795181",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--795181.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I can't believe I left my phone at the office!\n[00:03 - 00:04] Speaker B: Oh no, that's terrible!\n[00:05 - 00:24] Speaker A: Yeah, I was really upset at first. But then I realized that this could be a good opportunity to disconnect from technology for a day. And you know what? It was such a refreshing experience that made me realize how much time I normally waste mindlessly scrolling through apps and notifications without any real purpose.\n[00:16 - 00:22] Speaker B: Wait, did you have any important calls or messages you were expecting? That would have been my first concern.\n[00:24 - 00:34] Speaker A: Surprisingly, no. I mean, I did have some emails and notifications, but nothing urgent. It was great! I felt so liberated without my phone.\n[00:34 - 00:46] Speaker B: That's really interesting. I've been thinking about doing something similar lately. Our lives are so intertwined with our phones and social media nowadays, it's hard to imagine life without them. But maybe we don't need them as much as we think we do.\n[00:47 - 01:03] Speaker A: Exactly! I definitely don't need my phone as much as I thought. It was nice to just be present in the moment and not be distracted by notifications or emails or anything like that. Plus, it forced me to talk to people more instead of looking at my screen all the time.\n[01:03 - 01:15] Speaker B: Yes, that's true. We often use our phones as a crutch when we're feeling awkward or shy in social situations. But if we didn't have them, we would have to actually interact with people instead of hide behind our screens.\n[01:15 - 01:23] Speaker A: Exactly! So overall, it was a really positive experience for me. And who knows, maybe I'll do it again sometime soon."
+  },
+  {
+    "key": "SODA_PROCESSED--train--404560",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--404560.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: A baby is such a blessing.\n[00:02 - 00:03] Speaker B: I know. I feel the same way.\n[00:04 - 00:14] Speaker A: It's amazing how much love you can feel for someone so tiny and new to the world, especially when you realize they completely depend on you for their every need and comfort.\n[00:07 - 00:11] Speaker B: Sorry to interrupt, but do you think we're ready for all the responsibilities that come with it?\n[00:14 - 00:27] Speaker A: Yeah, it's really incredible. I just feel so grateful that we have this little life to take care of and  watch grow every day, learning new things and developing their own unique personality right before our eyes.\n[00:27 - 00:33] Speaker B: And love, of course. I just wanted to say that I'm really committed to sharing all the responsibilities equally.\n[00:33 - 00:35] Speaker A: Me too, babe."
+  },
+  {
+    "key": "SODA_PROCESSED--train--372789",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--372789.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: This is so frustrating. I can't believe I have to do this by myself, especially when I have so much on my plate already and nobody seems to understand how overwhelmed I'm feeling right now.\n[00:03 - 00:08] Speaker B: Sorry to jump in, but do you have all the tools you need? I can grab anything you're missing.\n[00:12 - 00:19] Speaker A: I think I have everything, but it's just so annoying. I wish I could just wave a magic wand and make this all go away.\n[00:20 - 00:32] Speaker B: Well, unfortunately, we don't have magic wands. But changing a tire isn't that difficult once you know how to do it. Just take your time and be  patient with yourself because rushing through it might lead to mistakes and we definitely don't want that to happen.\n[00:33 - 00:37] Speaker A: Be careful, right? Yeah, I guess you're right. Thanks for your help."
+  },
+  {
+    "key": "SODA_PROCESSED--train--317167",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--317167.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Stop it! What are you doing?\n[00:01 - 00:09] Speaker B: She started it! She hit me when I was just standing there minding my own business and didn't even see it coming until it was too late to react.\n[00:04 - 00:07] Speaker A: I don't care who started it. This has to stop. Now.\n[00:10 - 00:16] Speaker B: Fine. But she better not come near me  or I'll have to defend myself again because I won't just stand there and take it this time.\n[00:16 - 00:21] Speaker A: Don't worry, I'll make sure she doesn't. But I need to understand what happened.\n[00:22 - 00:24] Speaker B: She just came up to me and started hitting me for no reason!\n[00:25 - 00:28] Speaker A: That's awful. I'm so sorry you had to go through that.\n[00:29 - 00:30] Speaker B: Yeah, it was pretty scary.\n[00:31 - 00:35] Speaker A: Do you want to talk about it? I'm here for you if you need to talk."
+  },
+  {
+    "key": "SODA_PROCESSED--train--872171",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--872171.wav",
+    "model_output": "[00:00 - 00:22] Speaker A: Thank you for taking the time to meet with me today, it's great to have an opportunity to speak with you about the open position. Based on my research and understanding of the job requirements, I believe that I am a strong candidate for the role, especially given my background in similar positions and my proven track record of exceeding performance metrics in fast-paced work environments.\n[00:13 - 00:20] Speaker B: Sorry to jump in, but could you elaborate on how your experience specifically aligns with the key responsibilities of the role?\n[00:22 - 00:43] Speaker A: Of course! As we discussed, I have experience in customer service and sales, which I think would be beneficial in this role. Additionally, I have excellent communication skills and a strong work ethic. Based on what I know about the company and its values, I feel like my skills and experience would contribute well to its success.\n[00:43 - 00:53] Speaker B: That all sounds great! We're really looking for someone who is passionate about our mission and who will be dedicated to our customers' satisfaction. Do you think you have what it takes to excel in this role?\n[00:53 - 01:15] Speaker A: Absolutely! Like I said, customer satisfaction is very important to me and I'm always looking for ways to go above and beyond for both current and potential customers. In my previous roles, I've been recognized by my supervisors for going above and beyond expectations; I'm confident that I could bring that same level of dedication to this organization.\n[01:15 - 01:22] Speaker B: That's terrific! We'll definitely keep you in mind for the role. Thank you so much for taking the time to meet with us today.\n[01:22 - 01:24] Speaker A: Thank you, it was great to speak with you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--276032",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--276032.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Mrs. Saunders, why do you think the viola is so often overlooked?\n[00:05 - 00:24] Speaker B: I think the viola is often overlooked because it doesn't have the same range as some of the other instruments in the orchestra. It can be difficult to make the viola sound good, so I think people are sometimes discouraged from investing the time to master it, especially when they compare it to more prominent instruments like the violin or cello that tend to get more solo opportunities.\n[00:16 - 00:18] Speaker A: But don't you think it's worth the challenge?\n[00:24 - 00:30] Speaker B: Absolutely! The viola is a beautiful instrument and I think it's well worth the effort to learn how to play it properly.\n[00:31 - 00:46] Speaker A: I'm glad you feel that way, because I really enjoy playing the viola. It's a lot of  fun and very rewarding when you finally master those challenging passages and can appreciate the rich, warm tones that make the viola so special in ensemble playing.\n[00:46 - 00:52] Speaker B: I'm thrilled to hear that! By the way, what pieces are you currently working on? I think you're doing a great job with it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1051467",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1051467.wav",
+    "model_output": "[00:00 - 00:17] Speaker A: Hey Brittnay! Thanks for playing Roblox with me. I love this game because it's so creative and there's so much to explore, from different game modes to building your own adventures, and the community is always coming up with innovative ideas that push the boundaries of what's possible in the game.\n[00:08 - 00:16] Speaker B: I know, right? It's really cool how you can create your own worlds and characters. I've been playing for a while now and I still find new things to do.\n[00:17 - 00:25] Speaker A: Yeah, that's one of the things I like most about it. There's always something new to discover. Have you ever made your own world?\n[00:26 - 00:38] Speaker B: Yeah, I have a few worlds that I've created. It's really fun to design everything and then see other people play in it. It's like watching your own little movie come to life, with players interacting in ways you didn't even anticipate.\n[00:38 - 00:44] Speaker A: Oh, that sounds so cool! So, do you have any tips on how to get started with creating a world?\n[00:45 - 00:55] Speaker B: Yeah, definitely. There are a few tutorials on the Roblox website that can help you get started. And once you start creating, don't be afraid to experiment and try new things. That's part of the fun!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--14913",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--14913.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Good morning, Jeremy. How are you today?\n[00:03 - 00:05] Speaker B: I'm doing well, thank you. How are you?\n[00:05 - 00:19] Speaker A: I'm good, thanks. Just trying to get a head start on my work for the day. I've got a lot on my plate, and I want to make sure everything is on track before the afternoon meeting when we'll need to present our progress to the entire team.\n[00:11 - 00:17] Speaker B: Sorry to jump in, but is there a specific deadline you're aiming for? Maybe I can help prioritize.\n[00:20 - 00:27] Speaker A: It's mainly for a project for the new client. It's a bit of a rush job, so I'm trying to get it done as quickly as possible.\n[00:27 - 00:30] Speaker B: That makes sense. Is there anything I can do to help you?\n[00:30 - 00:35] Speaker A: Thanks, but I think I've got it under control. I appreciate the offer, though.\n[00:35 - 00:38] Speaker B: No problem. Let me know if you need anything."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1123711",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1123711.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: I just don't know what to do. I've tried everything, and it's just not giving me the results I was hoping for despite putting in countless hours of effort and exploring every possible avenue I could think of.\n[00:04 - 00:07] Speaker B: What exactly have you tried? Maybe there's something we can build on.\n[00:12 - 00:21] Speaker A: I've tried doing research, brainstorming ideas, talking to other people about it... I just can't seem to come up with anything that works.\n[00:21 - 00:34] Speaker B: Hmm... well, maybe you're just approaching it from the wrong angle. Have you tried looking at it from a different  perspective, or maybe even getting some feedback from someone outside the team who might offer fresh insights and innovative solutions you haven't considered before?\n[00:35 - 00:40] Speaker A: Different angle? I don't know... I feel like I've tried everything.\n[00:40 - 00:46] Speaker B: Sometimes when we're stuck, we just need to take a step back and look at the bigger picture. Maybe there's something you're missing."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1001007",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1001007.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: I can't believe you would say something like that to me! I'm so angry right now, I feel like punching a wall or something because this frustration has been building up for weeks and I just can't hold it in anymore. I need to calm down before I do something I regret.\n[00:06 - 00:09] Speaker B: Wait, what happened? What did I say that made you feel this way?\n[00:16 - 00:33] Speaker A: You said that I wasn't meeting your expectations and that you were disappointed in my work. That really hurt my  feelings because I've been putting in extra hours every day and sacrificing my personal time just to meet deadlines, and it made me feel like all my efforts were completely unappreciated.\n[00:34 - 00:40] Speaker B: Hold on, I didn't realize it came across that way. I was trying to give you some constructive feedback, not to hurt you.\n[00:41 - 00:46] Speaker A: Well, it didn't feel constructive. It felt like you were trying to make me feel bad about myself.\n[00:46 - 00:53] Speaker B: I'm really sorry, that wasn't my intention at all. Can we talk about this more? I really want to understand how I can communicate better."
+  },
+  {
+    "key": "SODA_PROCESSED--train--974933",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--974933.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Hi, Destanee. I'm Alycia. I noticed you're new here and thought I'd say hi.\n[00:07 - 00:15] Speaker B: Hey, Alycia. Yeah, I just moved here a couple weeks ago. It's been kind of tough getting used to a new school, but it's been okay so far.\n[00:15 - 00:33] Speaker A: I know how you feel. I've had to switch schools a few times myself. It can be really tough at first, but you'll get used to it eventually. So, what do you like to do in your free time when you're not adjusting to the new school environment? Maybe we have some common interests that could help you settle in faster.\n[00:25 - 00:33] Speaker B: Sorry, before I answer that, can I ask if there are any clubs or activities here that you'd recommend? I'm trying to find ways to meet new people.\n[00:34 - 00:45] Speaker A: Oh, definitely! There's a really active book club here that I think you'd enjoy, especially since you mentioned you like to read. But I was going to ask what genres you're into?\n[00:45 - 00:53] Speaker B: I like to read and write. I'm really into fantasy and science fiction, so I like to read a lot of books in those genres. And I like to write stories too.\n[00:53 - 01:02] Speaker A: That sounds great! I love to read and write too. In fact, I write stories all the time. Maybe we could exchange some of our work sometime?\n[01:03 - 01:04] Speaker B: Yeah, that would be cool!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--447088",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--447088.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I'm so sorry. I know you didn't do this.\n[00:03 - 00:05] Speaker B: It's okay, I know you believe me.\n[00:05 - 00:23] Speaker A: Of course I do! I would never believe anyone who said you did something like that. You're my friend and I know you would never do anything to hurt me or anyone else intentionally, especially considering how much you've always cared about others and stood up for what's right in every situation we've faced together.\n[00:13 - 00:21] Speaker B: Sorry to cut in, but do you think we should talk to more people to clear this up faster? Thank you, Luis. It really means a lot to me to have your support.\n[00:23 - 00:34] Speaker A: Of course, Osvaldo. I just wish I could do more to  help you through this difficult time by gathering evidence or finding witnesses who can confirm your innocence beyond any doubt.\n[00:34 - 00:37] Speaker B: Just knowing you believe in me is enough. Thank you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--282928",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--282928.wav",
+    "model_output": "[00:00 - 00:22] Speaker A: I always pay cash for everything because I don't want my spending to be tracked. It's just easier that way, you know? Plus, I don't really like using credit cards or anything else that could be used to track my purchases or spending habits through digital transactions, which could potentially be hacked or monitored by third parties without my knowledge or consent. It just feels more secure to me.\n[00:12 - 00:19] Speaker B: Sorry to jump in, but doesn't it get risky carrying around so much cash all the time? I mean, what if you lose it or something?\n[00:22 - 00:39] Speaker A: Yeah, it can be a pain sometimes. But it's worth it to me, you know? I'd rather have the peace of mind knowing that my spending is not being tracked. Plus, I was going to say that it's not just about the tracking, it's also about avoiding the temptation of overspending with credit cards.\n[00:39 - 00:42] Speaker B: Fair enough. I guess we all have our own reasons for the things we do."
+  },
+  {
+    "key": "SODA_PROCESSED--train--946489",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--946489.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey Lily, it's great to see you! I've missed hanging out with you.\n[00:04 - 00:07] Speaker B: I've missed you too, Carmyn. It's been way too long. How have you been?\n[00:07 - 00:19] Speaker A: I've been good. Just been really busy with work and other things. But I'm glad to finally have some free time to catch up with you and hear all about what's been happening in your life these past few months.\n[00:13 - 00:17] Speaker B: Sorry to interrupt, but what kind of work have you been busy with? Anything exciting?\n[00:20 - 00:29] Speaker A: Mostly just the usual stuff, but we did start a new project that's pretty interesting. Anyway, I'm glad to have some time to spend with you today.\n[00:29 - 00:34] Speaker B: Me too. So what do you want to do? I don't want to just sit around all day.\n[00:34 - 00:46] Speaker A: Well, we could go for a walk outside. It's really cold but it would be  refreshing and we could catch up more while enjoying the winter scenery and maybe even stop for some hot chocolate along the way.\n[00:46 - 00:51] Speaker B: Oh, speaking of cold, did you hear about the weather warning for today? We should be careful.\n[00:52 - 00:58] Speaker A: Yeah, I heard about it. But I think it would still be fun. Let me just grab my coat and gloves.\n[00:58 - 01:01] Speaker B: Wow, it's really coming down out here!\n[01:01 - 01:05] Speaker A: Yeah, it's pretty intense. But it's so beautiful.\n[01:05 - 01:09] Speaker B: Definitely. I love the snow. It's one of my favorite things about winter.\n[01:10 - 01:15] Speaker A: I know! It's so magical. Every time it snows, I feel like a kid again."
+  },
+  {
+    "key": "SODA_PROCESSED--train--571155",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--571155.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I'm so sorry, officer. I didn't mean to break the law.\n[00:03 - 00:24] Speaker B: Francis, you've been breaking the law for years now. You've been arrested for trespassing, vandalism, and public intoxication. This is the third time you've been caught drinking in public this year. You're lucky I'm not hauling you in for disorderly conduct right now, but you need to understand that this is your last warning and that next time there won't be any leniency regardless of the circumstances.\n[00:17 - 00:31] Speaker A: Officer, I understand, and I really appreciate you not taking me in this time. I just want to say that I'm trying to change, it's just that sometimes it feels like no matter what I do, I can't escape my past mistakes.\n[00:31 - 00:36] Speaker B: That's not good enough, Francis. You need to start following the rules if you don't want to end up in jail.\n[00:36 - 00:56] Speaker A: I know, officer. But it's hard when all my friends are doing things that are against the law too. They peer pressure me into doing things that I don't want to do, but I know that's not an excuse, and I need to take responsibility for my own actions and make better choices moving forward regardless of what others around me are doing.\n[00:53 - 01:08] Speaker B: But Francis, you're an adult now. You can't keep blaming your friends for your actions. You need to start making your own decisions about what's right and wrong instead of following their lead all the time. If you keep breaking the law, you're going to end up in jail where you'll have a lot more time to think about your choices."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1066203",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1066203.wav",
+    "model_output": "[00:00 - 00:20] Speaker A: Yes, absolutely. Preaching is one of the most important things a Christian can do. It's our job to spread the good news of the gospel to as many people as possible, and preaching is one of the best ways to reach those who may not have heard it before by creating meaningful connections and opening hearts to spiritual transformation through powerful messages.\n[00:11 - 00:16] Speaker B: But why is it so important? I mean, surely there are other ways to evangelize besides preaching?\n[00:20 - 00:39] Speaker A: Well, first of all, preaching is effective. It's a great way to reach people and share the gospel with them. And secondly, it's our duty as Christians. We're called to be witnesses for Christ, and preaching is one of the best ways to  fulfill that calling and make a difference in people's lives by planting seeds of faith that may blossom when they're most needed.\n[00:40 - 00:44] Speaker B: But what if people don't want to listen? What if they're not interested in what we have to say?\n[00:45 - 01:04] Speaker A: That's where our persistence and our passion come in. We need to be passionate about sharing the gospel, and we need to be persistent in doing so, even if people don't seem interested at first. We never know when someone might be ready to hear the good news, and so we need to keep preaching, even when it seems like no one is listening."
+  },
+  {
+    "key": "SODA_PROCESSED--train--142496",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--142496.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: Father, I know you're set in your ways and you don't like change, but things are different now. You can't just keep living in the past and expect everything to stay the same when technological advancements and social norms are evolving at such a rapid pace all around us.\n[00:07 - 00:12] Speaker B: I'm not living in the past, I'm living in the present. But tell me, what exactly are you so worried about?\n[00:16 - 00:26] Speaker A: I'm worried that if we don't adapt, we'll be left behind. The world is moving forward, and if we stay stuck in our old ways, we might miss out on important opportunities.\n[00:27 - 00:37] Speaker B: I understand your concern, but why does everything have to change just because the world does? We've always done things a certain way, and it's worked fine up until now. Why fix something that isn't broken?\n[00:38 - 00:45] Speaker A: Because things are different now, and we need to adapt. If we don't, we might find ourselves struggling to keep up with the changes around us.\n[00:46 - 00:49] Speaker B: I get that, but what exactly do you think will happen if we don't change?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1020192",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1020192.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: It's so beautiful up here.\n[00:01 - 00:13] Speaker B: It really is. I can't believe we get to spend eternity in such a wonderful place with breathtaking views, perfect weather, and endless joy that fills our hearts every single moment. It's like a dream come true.\n[00:06 - 00:13] Speaker A: I was just thinking the same thing! But do you ever wonder if we'll ever get tired of it? I mean, eternity is a long time.\n[00:14 - 00:21] Speaker B: Yeah, I know. Sometimes I still can't believe it myself. But I'm so grateful for everything that God has given us.\n[00:21 - 00:32] Speaker A: Amen to that. You know, I sometimes wonder what life was like before we arrived here. It's almost like a distant memory, something I can't fully grasp anymore.\n[00:32 - 00:39] Speaker B: Oh, before we came here? I've thought about that too. It must have been so different, maybe even chaotic compared to this peace.\n[00:39 - 00:46] Speaker A: Yeah, it's hard to imagine. But I'm sure that whatever life was like before, it couldn't have been as good as this.\n[00:46 - 00:51] Speaker B: Absolutely not. This is the best place imaginable, and we're so lucky to be here."
+  },
+  {
+    "key": "SODA_PROCESSED--train--770919",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--770919.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I can't believe people would be so irresponsible!\n[00:03 - 00:04] Speaker B: What are you talking about?\n[00:05 - 00:17] Speaker A: I just saw someone doing drugs at the party. It made me so angry that I wanted to leave immediately and confront them about how their actions could potentially harm others and create a dangerous environment for everyone present.\n[00:09 - 00:15] Speaker B: Sorry to interrupt, but did you report it to anyone? It's important that the organizers know about this.\n[00:18 - 00:30] Speaker A: No, I was too upset to think about that. But yeah, that is pretty irresponsible. But not everyone does drugs, you know. There are plenty of people who don't and who have a great time without them.\n[00:30 - 00:43] Speaker B: I know, but it still bothers me. It's like they're ruining the fun for everyone else by doing something so stupid and  putting themselves and others at risk of serious legal consequences and long-term health problems that could affect their entire future.\n[00:43 - 00:56] Speaker A: Dangerous, yes, I understand. But try not to let it ruin your night. Just remember that not everyone is the same and that there are lots of people who don't do drugs and who have a great time without them."
+  },
+  {
+    "key": "SODA_PROCESSED--train--40901",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--40901.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: Mom, I've been doing some research on different countries and their customs. I'm really interested in learning more about the world.\n[00:07 - 00:10] Speaker B: That's great, honey! What countries have you been looking into?\n[00:10 - 00:24] Speaker A: Well, I've been looking at a lot of different countries, but I'm really interested in learning more about Japan's rich cultural heritage and how it has evolved over centuries while maintaining its unique traditions and values.\n[00:16 - 00:22] Speaker B: That's great! What do you want to know about their traditional tea ceremonies or maybe their unique fashion trends?\n[00:25 - 00:38] Speaker A: Mom, I've been reading that the Japanese culture is very different from our own. For example, they have a lot of respect for their elders and their ancestors. They also place a high value on family ties and relationships.\n[00:38 - 00:48] Speaker B: That's true. The Japanese culture is very different from our own. But I think it's a good thing to learn about other cultures and customs. It can help us to better understand the world we live in.\n[00:49 - 00:59] Speaker A: Yes, and I've also heard that their festivals are quite unique and colorful. I was wondering if you could tell me more about the most famous ones, like maybe the cherry blossom festival?\n[01:00 - 01:09] Speaker B: Oh, their festivals are indeed fascinating! But before we move on, you mentioned respect for elders and ancestors. Did you read anything specific about their customs in that regard?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1142459",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1142459.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Dad.\n[00:01 - 00:03] Speaker B: Hey, Son. How are you doing?\n[00:03 - 00:07] Speaker A: I'm doing alright. Just thinking about some things.\n[00:07 - 00:08] Speaker B: What's on your mind?\n[00:09 - 00:27] Speaker A: I was just thinking about how much my life has changed in the last year. It's been a lot of ups and downs, but I feel like I'm finally starting to find my footing and understand what's really important to me, especially when it comes to building meaningful relationships and pursuing my passions with purpose.\n[00:17 - 00:22] Speaker B: Sorry to jump in, but when you say \"ups and downs,\" are there any specific moments that stand out to you?\n[00:27 - 00:38] Speaker A: Yeah, there were a few tough situations, like when I lost my job and had to figure out what to do next. But now, I feel like I'm starting to get a handle on things.\n[00:38 - 00:50] Speaker B: That's good to hear. It sounds like you've been through a lot lately. Are you sure you're ready to take on  new responsibilities or challenges that might come your way, considering how much you've grown and learned from your past experiences?\n[00:50 - 00:57] Speaker A: Definitely, Dad. I know I have the strength and determination to make it through whatever challenges come my way."
+  },
+  {
+    "key": "SODA_PROCESSED--train--660884",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--660884.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: I'm sorry for not listening to you and for causing you worry. I promise to be more obedient in the future. Can you forgive me for my mistakes and trust that I'll do better moving forward by being more open with my feelings and communicating more effectively about what's going on in my life?\n[00:07 - 00:14] Speaker B: Of course, Maverick, but it's not just about obedience. We want to make sure you're okay and that you feel supported. We love you very much.\n[00:17 - 00:19] Speaker A: Thank you, Mom and Dad. I love you too.\n[00:20 - 00:35] Speaker B: We know that you're going through a lot right now, and we just want to help you in any way we can. If there's something specific on your mind, we're here to listen  and offer any advice or comfort that might help you feel better about whatever challenges you're facing, whether it's school, friends, or anything else that's bothering you.\n[00:36 - 00:41] Speaker A: I appreciate that, but sometimes I just need some space to figure things out on my own.\n[00:42 - 00:50] Speaker B: We understand that, and we'll try to give you the space you need. But if there's anything troubling you, please don't hesitate to come to us for help or advice. Okay?\n[00:51 - 00:53] Speaker A: Okay, thanks Mom and Dad."
+  },
+  {
+    "key": "SODA_PROCESSED--train--556475",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--556475.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Wow, that was amazing! I've never kissed someone like that before.\n[00:04 - 00:13] Speaker B: I know, me neither. It just felt so natural and like everything just clicked between us in a way that I've never experienced with anyone else before, like we were meant to find each other.\n[00:07 - 00:11] Speaker A: Sorry, I just have to say, do you think this means something more for us?\n[00:14 - 00:17] Speaker B: I think it does. I feel like we really connected on some level.\n[00:18 - 00:19] Speaker A: Yeah, I feel it too.\n[00:20 - 00:21] Speaker B: So, what do you want to do next?\n[00:21 - 00:28] Speaker A: I don't know, what do you think we should do? Maybe we should take a walk and talk about this.\n[00:28 - 00:33] Speaker B: Actually, I was thinking, maybe we should talk about what this means for our relationship before we decide.\n[00:34 - 00:37] Speaker A: I guess we could just keep kissing or we could go somewhere more private.\n[00:38 - 00:39] Speaker B: Let's go somewhere more private."
+  },
+  {
+    "key": "SODA_PROCESSED--train--596356",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--596356.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: That was an intense game! I'm so glad our team won.\n[00:04 - 00:16] Speaker B: Yeah, it was a close one. They were down by a lot in the first half, but they came back strong in the second half and showed incredible determination by executing flawless plays and maintaining their composure under pressure.\n[00:09 - 00:15] Speaker A: Speaking of the comeback, did you notice how the coach changed the strategy halfway through? That was a game-changer!\n[00:16 - 00:27] Speaker B: Absolutely, the coach's decision to switch to a more aggressive defense really turned things around. I was getting really anxious watching them fall behind, but they turned it around and ended up winning by 10 points.\n[00:28 - 00:30] Speaker A: It was definitely a thrilling game to watch.\n[00:31 - 00:37] Speaker B: I don't know about you, but I feel a lot more relaxed now that our team has secured the win and maintained their position in the standings.\n[00:37 - 00:45] Speaker A: Oh, definitely! Especially after that nerve-wracking first half. It's always stressful watching them play, but it's worth it when they win."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1017701",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1017701.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: Hi, Jamonte. I saw that you were admiring my pony the other day, so I thought I would give her to you as a gift because I know you'll take great care of her and give her all the love and attention she deserves.\n[00:06 - 00:10] Speaker B: Oh, Ahron, thank you so much! She's beautiful. I've always wanted a pony.\n[00:12 - 00:23] Speaker A: You're welcome. I'm glad you like her. Can I ride  her with you sometime? It would be fun to go for a ride together through the fields and maybe even have a picnic by the old oak tree.\n[00:24 - 00:25] Speaker B: Can I ride her now?\n[00:25 - 00:30] Speaker A: Of course. Just be careful not to go too fast at first. The saddle is a little slippery.\n[00:31 - 00:34] Speaker B: OK, I will be careful. Thanks again, Ahron!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--302394",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--302394.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, I'm feeling better after getting some fresh air.\n[00:03 - 00:06] Speaker B: Yeah, you looked a little down when you came in. What's up?\n[00:06 - 00:15] Speaker A: Just some stuff with my family. But I don't want to burden you with it right now since I know you've got your own things going on and I don't want to bring the mood down.\n[00:10 - 00:14] Speaker B: Sorry to interrupt, but are you sure? Sometimes talking about it can really help.\n[00:15 - 00:19] Speaker A: I appreciate that, but I'd rather not get into it right now. How are you?\n[00:20 - 00:23] Speaker B: I'm good. Just hanging out, doing some homework. So what do you want to do today?\n[00:24 - 00:26] Speaker A: I don't know. What do you want to do?\n[00:27 - 00:29] Speaker B: We could go to the park or something.\n[00:29 - 00:33] Speaker A: Yeah, that sounds good. Let me just grab my jacket real quick.\n[00:34 - 00:37] Speaker B: It's so nice out today. I'm really glad we came to the park.\n[00:38 - 00:46] Speaker A: Yeah, me too. It's a great way to clear your head. So how are you really feeling about everything that's been going on lately?\n[00:46 - 00:51] Speaker B: Hey, I know you said you didn't want to talk about it earlier, but if you change your mind, I'm here.\n[00:52 - 01:01] Speaker A: Thanks, that means a lot. Actually, it's just been tough lately with my family. My mom and dad are always fighting, and it's really stressing me out.\n[01:01 - 01:05] Speaker B: That sounds really tough. I'm here for you if you ever need to talk though.\n[01:05 - 01:12] Speaker A: Thanks, that means a lot. Just knowing that I have a friend who cares makes me feel a little better already."
+  },
+  {
+    "key": "SODA_PROCESSED--train--766305",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--766305.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Eriq, I need your help.\n[00:02 - 00:03] Speaker B: What is it?\n[00:04 - 00:21] Speaker A: I'm trying to convince the school board to approve my proposal for a new after-school program, but I'm having trouble getting enough support from the parents and teachers, which is crucial for the board's decision because without their backing, the program won't have the necessary participation to justify its implementation.\n[00:11 - 00:16] Speaker B: Do you think it's because of budget concerns? I know they've been tight with funds lately.\n[00:22 - 00:42] Speaker A: That could be part of it, but I think it's more about them not fully understanding the impact this program could have. That's why I really need your help. You're good at convincing people. You always know what to say and how to say it. If you could just talk to the school board members and convince them to support my proposal, I know we could make this happen.\n[00:43 - 01:01] Speaker B: Lizabeth, I don't know if I can do it alone, but I can definitely try to get a better sense of their concerns and see if we can address them together by  organizing a series of meetings where we can present detailed case studies of similar successful programs and demonstrate how this initiative would benefit our community in both the short and long term.\n[01:02 - 01:11] Speaker A: Eriq, please. This is important to me. And I really believe in this project. I know we can make a difference if we can just get it off the ground.\n[01:12 - 01:21] Speaker B: Alright, Lizabeth. I'll help you out. But let me talk to them first and see what they're thinking. Maybe there's something we're not seeing here that we can address in our proposal."
+  },
+  {
+    "key": "SODA_PROCESSED--train--876910",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--876910.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, man. What are you looking up?\n[00:02 - 00:03] Speaker B: Transcendentalism.\n[00:04 - 00:21] Speaker A: Oh, yeah. That's a philosophical and literary movement that stresses individual freedom, intuition, and natural harmony with the universe, encouraging people to seek truth through personal experience rather than relying solely on traditional institutions or societal expectations.\n[00:11 - 00:17] Speaker B: Sorry, but do you know if this movement has any connection to nature or the environment? I've heard some people talk about that.\n[00:21 - 00:35] Speaker A: Yes, it does. Transcendentalists often emphasized the importance of nature as a source of inspiration and spiritual insight. But it's also a response to the limitations of organized religion and societal norms.\n[00:35 - 00:41] Speaker B: Rationalism, right? That makes sense because it feels like they're advocating for something deeper than just logic and reason.\n[00:42 - 00:50] Speaker A: Exactly! And that's what transcendentalism is all about. It's about going beyond the rational mind to find truth and meaning in life.\n[00:50 - 00:55] Speaker B: I like that. It's like we're transcending the everyday and reaching for something more.\n[00:55 - 01:04] Speaker A: Exactly. And it's not just about reaching for something more, but also about living in the present moment and appreciating the simple things in life.\n[01:04 - 01:09] Speaker B: That's beautiful. I think I might need to read up on this transcendentalism thing."
+  },
+  {
+    "key": "SODA_PROCESSED--train--243315",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--243315.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Hey, Mom. I finished the clothes you were helping me mend and I even managed to fix that stubborn tear in my favorite shirt that we thought might be beyond repair. I think they look much better now.\n[00:04 - 00:06] Speaker B: Oh, let me see! How did they turn out?\n[00:12 - 00:16] Speaker A: Yeah, they turned out pretty good, if I do say so myself.\n[00:16 - 00:30] Speaker B: They most certainly did! You're getting so big and tall; it won't be long before those old clothes of yours won't  fit you anymore and we'll need to completely revamp your wardrobe with stylish new outfits that match your growing personality. We'll have to go shopping for new ones soon.\n[00:31 - 00:35] Speaker A: I know, right? It's hard to believe how fast time is flying by.\n[00:35 - 00:41] Speaker B: It really is. Sometimes it feels like only yesterday you were born, and now you're already a young man.\n[00:41 - 00:46] Speaker A: So true. Well, I should probably get going now. Thanks for all your help, Mom.\n[00:46 - 00:48] Speaker B: Of course, sweetheart. Anytime."
+  },
+  {
+    "key": "SODA_PROCESSED--train--938056",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--938056.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: Jaliyah, what's going on? You've been daydreaming in class and your work is suffering because of it, and I've noticed your test scores have dropped significantly over the past few weeks. You need to focus more on your studies.\n[00:04 - 00:09] Speaker B: I'm just really into this game I've been playing. I can't seem to stop thinking about it.\n[00:13 - 00:29] Speaker A: Jaliyah, you're addicted to that game! It's taking over your life! You need to get rid of it before it destroys everything you've worked so hard  to achieve, like your grades and your future goals, not to mention your relationships with friends and family who are worried about you.\n[00:29 - 00:33] Speaker B: But I love the game! It's so much fun! I can't just stop playing it cold turkey.\n[00:34 - 00:52] Speaker A: I know it's tough, but you have to try. If you don't, you'll never be able to focus on anything else ever again. Just think about how much better your life will be without that game consuming all of your time and energy. Won't it be great to actually pay attention in class and get good grades again?\n[00:52 - 00:57] Speaker B: I guess you're right. It's just so hard to let go of something I enjoy so much.\n[00:57 - 01:04] Speaker A: It is hard, but you can do it. Just take it one day at a time and eventually you'll be able to kick the habit for good."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1050100",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1050100.wav",
+    "model_output": "[00:00 - 00:09] Speaker A: I'm so tired. I can't wait to get home and take a nice, long nap that will hopefully recharge my energy and help me feel refreshed for tomorrow's busy schedule.\n[00:03 - 00:07] Speaker B: Sorry to cut in, but before you doze off, did you remember to send that email to the client?\n[00:10 - 00:17] Speaker A: Oh, I completely forgot about that. I'll do it first thing when I get home. But honestly, I just want to take a nap.\n[00:17 - 00:22] Speaker B: Yeah, I know how you feel. I'm exhausted too. It's been a long day.\n[00:23 - 00:27] Speaker A: It sure has. I don't know about you, but I'm ready for it to be over.\n[00:28 - 00:32] Speaker B: Me too. I can't wait to just relax and not have to worry about anything for a while.\n[00:33 - 00:40] Speaker A: That sounds great. I think I'm going to close my eyes and try to get some sleep as soon as I finish that email.\n[00:40 - 00:43] Speaker B: Just one more thing—did you lock up the office before we left?\n[00:44 - 00:47] Speaker A: Yes, I did. Now, I really need that nap.\n[00:48 - 00:50] Speaker B: Yeah, you should do that. I'm going to do the same thing."
+  },
+  {
+    "key": "SODA_PROCESSED--train--431708",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--431708.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: Hey, I'm sorry about what happened with our taxes. I know you're mad, but I promise it won't happen again because I've learned my lesson and I understand how much it affected us financially and emotionally in our relationship.\n[00:06 - 00:12] Speaker B: I'm not just mad, Lathan. I'm disappointed. We've always been a team, and this feels like you betrayed that trust.\n[00:14 - 00:20] Speaker A: I know. And I'm really sorry. It was a stupid mistake and I'll never do anything like that again.\n[00:20 - 00:29] Speaker B: Why did you do it? Was it just because you wanted to save some  money in the short term without considering the long-term consequences, or was there something else going on that I didn't know about?\n[00:30 - 00:41] Speaker A: No, it wasn't just about the money. I was feeling really stressed out about everything and I thought if we could just get a little bit of a break on our taxes, it would help out a lot.\n[00:41 - 00:49] Speaker B: But why didn't you talk to me about it first? We could have come up with another solution together instead of you doing something illegal behind my back.\n[00:49 - 00:57] Speaker A: Again, I'm sorry. I know that was wrong and next time I'll definitely talk to you first before doing anything like that again.\n[00:57 - 01:02] Speaker B: Alright, I forgive you. But you need to promise me that you'll never do anything like that again.\n[01:02 - 01:04] Speaker A: I promise."
+  },
+  {
+    "key": "SODA_PROCESSED--train--645254",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--645254.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Yes, of course. I'm happy to help in any way I can.\n[00:04 - 00:06] Speaker B: Thank you, Ferris. I really appreciate it.\n[00:07 - 00:10] Speaker A: No problem at all. It's the least I can do.\n[00:10 - 00:13] Speaker B: So, how are things going? Are you enjoying the class?\n[00:14 - 00:16] Speaker A: Yes, I am. I'm learning a lot.\n[00:16 - 00:20] Speaker B: That's great to hear! What do you think is the most interesting thing you've learned so far?\n[00:21 - 00:40] Speaker A: I think it would have to be the history of art. It's just fascinating to me to learn about how different cultures and periods of time have expressed themselves through their unique artistic styles and mediums, particularly how these ancient techniques continue to influence modern creative processes across various disciplines today.\n[00:30 - 00:34] Speaker B: Sorry to interrupt, but which period of art history did you find the most captivating?\n[00:40 - 00:50] Speaker A: Oh, that's a good question. I was about to mention that the Renaissance period really stood out to me. The creativity and innovation during that time were incredible.\n[00:50 - 00:56] Speaker B: I see, but before you continue, do you think studying these periods has changed your perspective on modern art?\n[00:56 - 01:05] Speaker A: Absolutely, it has. It makes me appreciate the evolution of art even more. Now, about those cultural expressions, I was saying that..."
+  },
+  {
+    "key": "SODA_PROCESSED--train--729972",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--729972.wav",
+    "model_output": "[00:00 - 00:18] Speaker A: Thank you so much for the kind words, Mrs. Smith. It's truly my pleasure to help keep your home looking beautiful. I know how important it is to you and I'm glad I can be of assistance in maintaining the charm of your lovely home, especially since you've always been so welcoming and appreciative of my work over these past few years.\n[00:10 - 00:17] Speaker B: Adeline, you are far too modest. I don't know what I would do without you! You have been such a help to me over the years and I really appreciate it.\n[00:18 - 00:25] Speaker A: Oh, it's nothing, really. I just enjoy doing it and I'm happy to help out however I can.\n[00:25 - 00:33] Speaker B: Well, I appreciate it nonetheless. You're a very talented young man and I'm sure you'll achieve great things in the future with your dedication and hard work.\n[00:33 - 00:44] Speaker A: Sorry to interrupt, Mrs. Smith, but I wanted to mention that I didn't get to finish earlier. I'm glad I can be of assistance, especially with the garden. It's my favorite part of the job.\n[00:45 - 00:49] Speaker B: Oh, of course! The garden looks absolutely wonderful. You really have a knack for it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--420178",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--420178.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey boss, what's up?\n[00:02 - 00:03] Speaker B: Not much, what's up with you?\n[00:03 - 00:08] Speaker A: I'm just getting some work done. I wanted to talk to you about something though.\n[00:08 - 00:09] Speaker B: Sure, what is it?\n[00:10 - 00:29] Speaker A: I was wondering if there's any chance I could get a raise. I've been working here for a while and I feel like I've been doing a great job, especially with the additional responsibilities I've taken on recently, consistently meeting deadlines and going above and beyond to ensure our team's success in all major projects.\n[00:17 - 00:25] Speaker B: I understand where you're coming from. Before we dive into that, can you tell me how you feel your recent projects have impacted the team's overall performance?\n[00:30 - 00:45] Speaker A: Absolutely. I think my contributions have really helped streamline our processes, especially with the new software integration. But as I was saying, I do feel like I've been doing a great job and would appreciate it if you could consider a raise.\n[00:45 - 00:47] Speaker B: Let me think about it and I'll get back to you, okay?\n[00:48 - 00:51] Speaker A: Yeah, no problem. Thanks boss."
+  },
+  {
+    "key": "SODA_PROCESSED--train--194829",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--194829.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Cailynn. What's up?\n[00:02 - 00:09] Speaker B: Not much. Just hanging out and thinking about what we talked about the other day, especially that interesting project you mentioned you were starting with your team at work.\n[00:03 - 00:09] Speaker A: Sorry to jump in, but I've noticed you've been watching me a lot lately. Is everything okay?\n[00:10 - 00:20] Speaker B: Yeah, of course. I just like seeing what you're  working on because you've been really focused lately, and it's inspiring to watch someone so dedicated to their craft and pushing boundaries creatively.\n[00:20 - 00:25] Speaker A: It makes me feel a little uneasy, to be honest. Like I can't trust you.\n[00:25 - 00:31] Speaker B: Saphire, I would never do anything to hurt you. You're my friend and I care about you. I'm just curious, that's all.\n[00:32 - 00:37] Speaker A: Okay, I believe you. But please try not to stare at me so much, it's really creepy."
+  },
+  {
+    "key": "SODA_PROCESSED--train--289733",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--289733.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Sarah. How are you doing today?\n[00:02 - 00:14] Speaker B: Good, thanks. I'm just getting ready for my math test. I'm a little worried about forgetting some of the formulas, especially the more complex trigonometric identities and calculus equations we've been studying this semester.\n[00:06 - 00:28] Speaker A: Nervous? That's understandable. Math can be tough sometimes. But I know you're capable of doing great things. You've been working hard in class and I have full faith in you. Just take a deep breath and remember to pace yourself carefully throughout the entire exam duration, making sure to allocate appropriate time for each section while leaving room for review at the end.\n[00:27 - 00:30] Speaker B: Actually, do you have any last-minute tips for staying calm during the test?\n[00:31 - 00:39] Speaker A: Sure, focus on the questions you know first, and then go back to the tougher ones. That way, you build confidence as you go. You'll do fine.\n[00:40 - 00:44] Speaker B: Thank you, Ms. Martinez. Just knowing that you believe in me makes me feel better already."
+  },
+  {
+    "key": "SODA_PROCESSED--train--152172",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--152172.wav",
+    "model_output": "[00:00 - 00:17] Speaker A: Listen, Dagny. I know you're angry and you have every right to be. But I need you to try and make peace with what happened. It's the only way you're going to be able to start healing and move forward with your life, to find new purpose and rebuild what was broken without carrying this heavy burden forever.\n[00:10 - 00:16] Speaker B: But how can I just make peace with it, Jazmyn? It feels like if I let go of this anger, I'm letting them get away with it.\n[00:17 - 00:34] Speaker A: I get it, I really do. But holding onto that anger isn't going to bring any justice. It's only going to hurt you more in the long run. You need to find a way to let go, otherwise it will consume you. Trust me, I know from my own struggles with holding onto resentment for too long.\n[00:35 - 00:41] Speaker B: You know from experience, right? But what if my experience is different? What if letting go means losing the fight entirely?\n[00:42 - 00:49] Speaker A: It's not about losing the fight, Dagny. It's about finding a way to keep fighting without destroying yourself in the process.\n[00:50 - 00:55] Speaker B: Alright, Jazmyn. I'll try. I'm not making any promises, but I'll try.\n[00:55 - 00:58] Speaker A: Thank you, Dagny. That's all I can ask for."
+  },
+  {
+    "key": "SODA_PROCESSED--train--481276",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--481276.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Wow, it's so big!\n[00:02 - 00:05] Speaker B: Yes, the zoo is quite large. There are over 200 animals here.\n[00:06 - 00:16] Speaker A: Oh my gosh, I see a lion! Can we go see the big cats first? I've always wanted to see a lion up close and observe their majestic behavior in their natural habitat recreation.\n[00:09 - 00:13] Speaker B: Good idea! Let's get the map first. I can't wait to see the lion up close.\n[00:17 - 00:18] Speaker B: Of course. Follow me.\n[00:18 - 00:22] Speaker A: This is so amazing! I've never seen a lion up close before.\n[00:23 - 00:25] Speaker B: He's a beautiful animal, isn't he?\n[00:25 - 00:31] Speaker A: Yes, he is. Do you think he'll come over to the side of the enclosure where we can get a better look?\n[00:31 - 00:36] Speaker B: Maybe! Just remember, if you're quiet and don't make any sudden movements, he might come closer.\n[00:37 - 00:38] Speaker A: Oh, I'll be quiet as a mouse.\n[00:39 - 00:39] Speaker B: Good idea."
+  },
+  {
+    "key": "SODA_PROCESSED--train--905170",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--905170.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Maegan. Do you want to grab coffee with me?\n[00:03 - 00:04] Speaker B: Yeah, I'd love to!\n[00:05 - 00:07] Speaker A: So, have you ever been in a relationship before?\n[00:08 - 00:15] Speaker B: No, I haven't. I've always been too busy with school and extracurriculars. Plus, I'm not really sure what I'm looking for in a partner yet.\n[00:16 - 00:32] Speaker A: No, I haven't either. Honestly, I'm not really sure if I'm ready for a relationship either. But it's definitely something that I'm open to exploring more in the future, maybe when things settle down a bit and I have more time to focus on building meaningful connections with people.\n[00:25 - 00:33] Speaker B: Sorry to interrupt, but I just want to clarify, when you say you're not ready, is it because of past experiences or just the current phase of life?\n[00:33 - 00:53] Speaker A: It's more about the current phase of life. I haven't had any significant past experiences. But as I was saying, I'm open to exploring more in the future. I think that it would be really nice to find someone special to share my life with, but I'm not sure if I'm ready for that just yet, considering how busy things are right now.\n[00:54 - 01:00] Speaker B: I totally get that. Sometimes, the idea of sharing your life with someone can be both exciting and daunting at the same time.\n[01:01 - 01:10] Speaker A: Yeah, exactly. I think that we're definitely on the same page when it comes to relationships. Who knows, maybe we'll find someone special together one day?\n[01:10 - 01:12] Speaker B: That would be really nice."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1174912",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1174912.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, how are you doing today?\n[00:02 - 00:05] Speaker B: I'm doing well, thank you. How can I help you?\n[00:05 - 00:08] Speaker A: Well, I was called here to fix your boiler.\n[00:08 - 00:17] Speaker B: Oh, yes. Our heating's been inconsistent, especially in the mornings when the temperature drops significantly and we've noticed it takes much longer to warm up the house properly.\n[00:10 - 00:18] Speaker A: Acting up lately, right? No worries, I'll take a look at it right away. (He opens up the boiler and starts examining it.)\n[00:18 - 00:20] Speaker B: So what do you think is wrong with it?\n[00:20 - 00:27] Speaker A: It looks like the problem is a simple one. The part that's causing the issue is right here, and it's a bit worn out.\n[00:28 - 00:31] Speaker B: Oh, before you go on, do you have that part with you, or will you need to order it?\n[00:32 - 00:39] Speaker A: I actually have it with me, so I can replace it right now. Once I do that, your boiler should be good as new."
+  },
+  {
+    "key": "SODA_PROCESSED--train--836740",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--836740.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I can't believe we're doing this! We're finally getting out of this small town.\n[00:04 - 00:14] Speaker B: I know, I can't believe it either. We've been planning this for so long, and now it's actually happening. All those late-night conversations and saved-up money are finally paying off in this moment of freedom.\n[00:08 - 00:16] Speaker A: I know! It feels like we've been waiting forever. I'm just so excited to finally be leaving. This town has nothing for us.\n[00:16 - 00:20] Speaker B: I know, me too. I can't wait to see the world and experience new things.\n[00:21 - 00:24] Speaker A: But are you sure you're ready for this? It's a big step.\n[00:25 - 00:37] Speaker B: Of course I am! I've been waiting for this my whole life. Besides, what choice do we have? We can't stay here\n[00:37 - 00:43] Speaker A: I agree, but leaving everything we know behind... it's still scary, isn't it?\n[00:43 - 00:48] Speaker B: Don't worry, Tiana. I'll be with you every step of the way. We'll make it through anything together, just like we always have."
+  },
+  {
+    "key": "SODA_PROCESSED--train--752118",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--752118.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: I can't believe this is happening. I feel like my whole world is crumbling down around me, and I don't know how to pick up the pieces after all the years of dedication and effort I've poured into building this dream from scratch.\n[00:04 - 00:14] Speaker B: I'm so sorry, Hendrick. I know how hard you've worked on your business and how much it means to you. But have you thought about reaching out to some of your old contacts? Maybe they could help you find a way forward.\n[00:15 - 00:27] Speaker A: It feels like everything I've built up has been destroyed in an instant. I don't know what I'm going to do or where I'm going to go from here. It's like I'm standing at the edge of a cliff with no clear path ahead.\n[00:27 - 00:32] Speaker B: We'll figure it out together, Hendrick. You're not alone in this. I'm here for you, no matter what happens.\n[00:33 - 00:37] Speaker A: Thank you, John. Just knowing you're here with me makes me feel a little better.\n[00:38 - 00:39] Speaker B: Of course, Hendrick. I love you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--197137",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--197137.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I don't want to grow up, Mom. I want to stay a child forever.\n[00:04 - 00:09] Speaker B: Jermiah, you have to grow up sooner or later. It's just a part of life, and everyone goes through it.\n[00:10 - 00:15] Speaker A: But I don't want to! I like being a kid. Why can't I just stay a kid forever?\n[00:15 - 00:28] Speaker B: Because eventually you'll have to face responsibilities and the real world. You can't stay in childhood forever, even though it might seem easier, because life is constantly moving forward and bringing new experiences that shape who we become.\n[00:21 - 00:27] Speaker A: But why not? What if I don't want to face those responsibilities? Can't I just avoid them somehow?\n[00:28 - 00:36] Speaker B: I know it seems tempting to avoid them, but responsibilities are a part of life. And even though growing up can be scary, it also comes with new freedoms and opportunities.\n[00:37 - 00:42] Speaker A: *sigh* I guess you're right, Mom. It's just hard to let go of childhood sometimes."
+  },
+  {
+    "key": "SODA_PROCESSED--train--873625",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--873625.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hi, I'm here to test drive the car that I saw online.\n[00:04 - 00:07] Speaker B: Great! What model are you interested in?\n[00:07 - 00:10] Speaker A: The one that I was looking at was the new BMW M3.\n[00:11 - 00:16] Speaker B: That's a great choice! Let me grab the keys and we'll go over some of the features before heading out for the test drive.\n[00:17 - 00:24] Speaker A: Before we go, could you tell me a bit more about the car's features? I want to make sure it has everything I'm looking for.\n[00:25 - 00:34] Speaker B: Absolutely! The BMW M3 comes with a twin-turbo inline-six engine, adaptive suspension, and a premium interior with all the latest tech.\n[00:34 - 00:35] Speaker A: Sounds good to me.\n[00:36 - 00:39] Speaker B: This car is amazing! The acceleration is incredible!\n[00:39 - 00:52] Speaker A: Yeah, it's definitely a powerful car. But what do you think about the overall driving experience and how it compares to other performance vehicles you've driven in terms of comfort and daily usability?\n[00:45 - 00:52] Speaker B: Sorry to cut in, but I just noticed the steering wheel feels a bit stiff. Is that normal, or is it adjustable?\n[00:52 - 01:03] Speaker A: It's normal for the M3, but it does have adjustable settings to customize the steering feel to your preference. Now, as I was saying, what do you think about the handling overall?\n[01:03 - 01:07] Speaker B: It feels really good. It's responsive and precise. I love it!\n[01:08 - 01:11] Speaker A: Great! So you're interested in purchasing this car?\n[01:12 - 01:14] Speaker B: Yeah, I think I am. How much is it?\n[01:15 - 01:17] Speaker A: It's $60,000.\n[01:17 - 01:20] Speaker B: That's a lot of money. I'm not sure if I can afford that."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1028263",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1028263.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: It's so nice out today.\n[00:02 - 00:06] Speaker B: I know, right? It's like nature is finally starting to show us some mercy.\n[00:06 - 00:19] Speaker A: Yeah, I was just thinking the same thing. The sun is shining and the birds are singing… it feels like a weight has been lifted off my shoulders after weeks of gloomy weather and constant stress from work and personal responsibilities.\n[00:13 - 00:18] Speaker B: Sorry to cut in, but do you think this good weather will last? I've been planning a weekend trip.\n[00:19 - 00:25] Speaker A: I'm not sure, but I hope so. I was saying it feels like a weight has been lifted off my shoulders.\n[00:25 - 00:29] Speaker B: Isn't it great? I feel like I can finally breathe again.\n[00:30 - 00:35] Speaker A: Yeah, me too. I'm just grateful to be here and have this moment of peace.\n[00:35 - 00:39] Speaker B: I know what you mean. It's like the world is finally starting to make sense again.\n[00:40 - 00:45] Speaker A: Speaking of making sense, do you think this peaceful feeling will help us focus better at work?\n[00:45 - 00:50] Speaker B: Yeah, it might. But I was going to say it's like the world is finally starting to make sense again.\n[00:51 - 00:55] Speaker A: Yeah. I feel like I belong here. Like this is where I'm supposed to be.\n[00:55 - 01:00] Speaker B: I know how you feel. This place has a way of making you feel at home, even when you're not from here.\n[01:01 - 01:06] Speaker A: Yeah, that's exactly it. I'm not from here, but this feels like home.\n[01:06 - 01:12] Speaker B: Well, we all need a place to belong. And sometimes, it takes finding the right place before we can truly feel at home."
+  },
+  {
+    "key": "SODA_PROCESSED--train--526278",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--526278.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: I need the money to start my own business. I need the money to pay off my gambling debts, and it's been weighing on me heavily for months now, affecting both my mental health and relationships with those closest to me.\n[00:04 - 00:10] Speaker B: Wait, you're saying you have gambling debts? That's a serious issue. Have you thought about seeking help for that?\n[00:13 - 00:19] Speaker A: I know, it's something I need to deal with. But right now, I really need to get my business off the ground too.\n[00:20 - 00:25] Speaker B: Well, I certainly can't give you all the money you need, but I can give you a loan to help out.\n[00:25 - 00:30] Speaker A: Thank you, Raj. I appreciate your willingness to help me out during this tough time.\n[00:30 - 00:36] Speaker B: Just make sure to prioritize paying off those debts first. It's important to get that under control.\n[00:36 - 00:41] Speaker A: I understand. I won't spend it all in one place, I promise."
+  },
+  {
+    "key": "SODA_PROCESSED--train--29858",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--29858.wav",
+    "model_output": "[00:00 - 00:18] Speaker A: Good morning. I see that it's snowing outside. I was really looking forward to going to the beach today, but it doesn't seem like that will be possible with this weather, but maybe we can find something else fun to do indoors like visiting that new museum exhibition or trying out that board game cafe downtown.\n[00:08 - 00:13] Speaker B: Actually, have you checked the weather forecast? It might clear up later in the day.\n[00:18 - 00:32] Speaker A: It doesn't look like that is going to happen. I think I'm just going to go back to bed and  relax for a bit while listening to some calming music and enjoying the cozy atmosphere of my warm blankets during this snowy morning.\n[00:32 - 00:37] Speaker B: Before you do that, maybe we should have some breakfast first? It might help lift your mood.\n[00:37 - 00:40] Speaker A: Well, I'm going to make breakfast. Do you want anything?\n[00:41 - 00:44] Speaker B: No, I don't think so. I'm not really hungry right now.\n[00:45 - 00:47] Speaker A: Okay. I'll bring you something later then."
+  },
+  {
+    "key": "SODA_PROCESSED--train--967919",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--967919.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Can I ask you something, teacher?\n[00:01 - 00:05] Speaker B: Of course, Theodore. What would you like to talk about or ask me?\n[00:05 - 00:11] Speaker A: Sorry to interrupt, but it's something that's been on my mind for a while. Do you think I'm a good student?\n[00:12 - 00:13] Speaker B: Why do you ask?\n[00:13 - 00:18] Speaker A: I don't know. I just want to know if I'm doing well in your eyes.\n[00:18 - 00:38] Speaker B: Theodore, you're an excellent student. You're always willing to learn and reflect on your own performance. This openness to learning means that you are constantly improving and growing as a person. I'm very pleased with your dedication and enthusiasm, especially how you consistently go above and beyond in your assignments and show genuine curiosity about the subject matter.\n[00:29 - 00:34] Speaker A: Actually, I was also wondering if there are specific areas where you think I could improve more?\n[00:38 - 00:48] Speaker B: I'm very proud of the progress you've made since we started working together. But if you're looking for areas to improve, perhaps we could focus more on your critical thinking skills."
+  },
+  {
+    "key": "SODA_PROCESSED--train--787791",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--787791.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: You're welcome. I'm just glad I was able to stop it from happening.\n[00:04 - 00:14] Speaker B: Thank you so much for saving my life. I can't even begin to express how grateful I am for what you did. It means the world to me and I'll never forget your kindness and quick thinking in that moment.\n[00:08 - 00:14] Speaker A: Sorry to jump in, but are you sure you're okay? I mean, physically and emotionally?\n[00:14 - 00:23] Speaker B: I think so, but it's all still a bit of a blur. I don't know what would have happened if you hadn't been there. I'm just glad that you were in the right place at the right time.\n[00:24 - 00:32] Speaker A: Yeah, me too. But seriously, if you need anything—someone to talk to or whatever—don't hesitate to reach out, okay?\n[00:32 - 00:35] Speaker B: I really appreciate that. Thanks again, Antwain.\n[00:35 - 00:37] Speaker A: No problem. Take care."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1020068",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1020068.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: I feel so much better since I started taking this medication. It's like night and day.\n[00:05 - 00:17] Speaker B: I'm glad to hear it. How have your mood and energy levels been since you started the medication? Have you noticed any significant changes in your daily routine or productivity levels that might be related to the medication's effects?\n[00:10 - 00:16] Speaker A: Actually, I just wanted to ask, have you noticed any side effects since you started the medication?\n[00:17 - 00:21] Speaker B: They've both improved a lot. I was really struggling before, but now I feel like myself again.\n[00:22 - 00:33] Speaker A: That's great to hear. It's important to keep up with the medication, though, so that you don't relapse. Are you doing anything else to support your mental health, like therapy or exercise?\n[00:33 - 00:38] Speaker B: Sorry to cut in, but speaking of relapse, what should I do if I ever forget to take a dose?\n[00:39 - 00:53] Speaker A: Yes, I am. I make sure to take it every day and I haven't missed a dose. If you do forget, it's important to take it as soon as you remember, unless it's almost time for your next dose. In that case, just skip the missed dose.\n[00:53 - 01:02] Speaker B: That's good. Let me know if you have any problems with the medication or if your symptoms start to come back. We can adjust the dosage or try something else if necessary.\n[01:02 - 01:05] Speaker A: I will. Thank you so much for your help.\n[01:05 - 01:06] Speaker B: You're welcome."
+  },
+  {
+    "key": "SODA_PROCESSED--train--84371",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--84371.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: I wish you were here, too. I miss you a lot, especially during moments like these when I just want to share everything with you.\n[00:07 - 00:12] Speaker B: I miss you, too. It's been so hard being away from you. Do you think we can plan a visit soon?\n[00:13 - 00:19] Speaker A: Yeah, I know. I hate that we're not together right now. Maybe we could plan something for next month?\n[00:20 - 00:26] Speaker B: Me too. It feels like there's this big hole in my life without you. Next month sounds perfect.\n[00:26 - 00:37] Speaker A: I know exactly what you mean. But we'll be together again soon, I believe it will make us appreciate our time together even more and strengthen our bond through all these challenges we're facing right now.\n[00:31 - 00:33] Speaker B: I really hope so. I just want to hold you again.\n[00:37 - 00:40] Speaker A: I can't wait to see you again, Bretton."
+  },
+  {
+    "key": "SODA_PROCESSED--train--76363",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--76363.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: I feel like I need a change.\n[00:02 - 00:04] Speaker B: Okay, what are you thinking?\n[00:04 - 00:13] Speaker A: I want to shave my head completely, just to start fresh and feel renewed, like shedding an old identity and embracing a bold new chapter in my life.\n[00:05 - 00:11] Speaker B: Whoa, really? Are you sure you want to go that drastic? I mean, that's a big change.\n[00:13 - 00:17] Speaker A: Yeah, I'm sure. I just feel like I need to do something different.\n[00:18 - 00:22] Speaker B: But your hair is so beautiful! Have you thought about maybe just cutting it shorter instead?\n[00:22 - 00:27] Speaker A: Thank you, but I still want to do it. I think it'll help me feel more like myself.\n[00:28 - 00:34] Speaker B: Okay, well if that's what you really want then I support you. Let me know if you need help with anything."
+  },
+  {
+    "key": "SODA_PROCESSED--train--486716",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--486716.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hank, what are you hiding from me?\n[00:02 - 00:03] Speaker B: I'm not hiding anything.\n[00:04 - 00:16] Speaker A: Yes, you are. I can tell by the way you're acting. You're being secretive and won't tell me what's going on. What exactly is it that you're not telling me? I deserve to know the truth after everything we've been through together.\n[00:11 - 00:14] Speaker B: Fine, I'll tell you. But you have to promise not to get mad.\n[00:17 - 00:20] Speaker A: I won't get mad, I promise. Now spill it.\n[00:20 - 00:23] Speaker B: Okay, here goes...I've been seeing someone else behind your back.\n[00:24 - 00:35] Speaker A: Who is it? And how long has this been going on? I need to know every single detail right now because  this is completely unacceptable and I can't believe you'd betray my trust like this.\n[00:36 - 00:39] Speaker B: His name is Jason and we've been seeing each other for a few weeks now.\n[00:40 - 00:45] Speaker A: How could you do this to me? We've been together for two years and you just go and cheat on me?\n[00:46 - 00:57] Speaker B: Liani, I'm sorry. It just happened. I didn't mean for it to happen, but it did and there's nothing either of us can  do to change the past now that the truth is out in the open between us.\n[00:57 - 00:59] Speaker A: Well, we can break up for one thing!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--490986",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--490986.wav",
+    "model_output": "[00:00 - 00:09] Speaker A: Babe, I just bought this movie and it's really unique because it blends horror with satire in a way that's both terrifying and thought-provoking at the same time.\n[00:02 - 00:03] Speaker B: Oh, what's it called?\n[00:09 - 00:12] Speaker A: It's called *The Cabin in the Woods*.\n[00:12 - 00:13] Speaker B: What's it about?\n[00:14 - 00:30] Speaker A: It's about a group of friends who go to a cabin in the woods and end up being terrorized by monsters. But it's also a commentary on the horror genre  and how these movies often follow predictable patterns while simultaneously deconstructing them in a meta and self-aware manner.\n[00:30 - 00:35] Speaker B: Wait, a commentary? Do you mean it has some kind of twist or deeper message?\n[00:36 - 00:44] Speaker A: Exactly! It plays with the typical horror tropes in a really clever way. You might have to watch it yourself to fully appreciate it.\n[00:44 - 00:47] Speaker B: Sounds interesting. I might just do that."
+  },
+  {
+    "key": "SODA_PROCESSED--train--246434",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--246434.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Jareth, are you okay? You seem really upset about something that happened recently, like maybe a big argument or some kind of misunderstanding that's been weighing heavily on your mind.\n[00:03 - 00:05] Speaker B: It's nothing, I'm fine.\n[00:11 - 00:18] Speaker A: Sorry, but I can see that something is really bothering you. Please tell me what's wrong. I want to help if I can.\n[00:18 - 00:32] Speaker B: It's just...my family. They're always fighting and arguing with each other and it's really hard to deal with sometimes. I wish they could all just  get along and stop making everything so difficult, especially during family gatherings when tensions seem to rise over the smallest things.\n[00:32 - 00:44] Speaker A: I totally understand. Families can be tough to deal with sometimes, but they're also the people who love us the most. Maybe you should try talking to them about how you're feeling and see if that helps.\n[00:45 - 00:50] Speaker B: Yeah, maybe you're right. Thanks, Delvon. Just talking to you has made me feel a lot better already."
+  },
+  {
+    "key": "SODA_PROCESSED--train--514230",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--514230.wav",
+    "model_output": "[00:00 - 00:09] Speaker A: Hey, girl! You look amazing! What have you been doing lately to achieve such incredible results? I need to know your entire wellness routine and secret!\n[00:03 - 00:08] Speaker B: Sorry to cut you off, but I have to say, your energy is just radiating! What's your secret?\n[00:10 - 00:15] Speaker A: I've just been working out a lot and eating healthier. I'm down 20 pounds since last year!\n[00:15 - 00:23] Speaker B: That's incredible! I can definitely tell. You look  so much more confident and vibrant, like you're glowing from the inside out with all this positive change.\n[00:23 - 00:27] Speaker A: Oh, and I feel great too. I have so much more energy now.\n[00:28 - 00:32] Speaker B: I can imagine. I'm actually thinking about starting to work out more and eat better myself.\n[00:32 - 00:36] Speaker A: That's a great idea! I can help you if you want.\n[00:37 - 00:38] Speaker B: That would be awesome! Thanks, Sarah."
+  },
+  {
+    "key": "SODA_PROCESSED--train--191104",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--191104.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's your name?\n[00:01 - 00:04] Speaker B: My name is Steve. Nice to meet you.\n[00:04 - 00:08] Speaker A: Likewise. I'm Dawayne. What brings you here today?\n[00:08 - 00:12] Speaker B: I'm just passing through. Saw your sign and thought I'd pop in to see what it's all about.\n[00:13 - 00:18] Speaker A: Sorry to jump in, but which sign caught your eye? We have a few different ones outside.\n[00:18 - 00:22] Speaker B: The one about the community events. It seemed interesting.\n[00:22 - 00:25] Speaker A: We're glad you did. What do you think of the place?\n[00:26 - 00:29] Speaker B: It's interesting. A bit different than what I'm used to, but it's nice.\n[00:30 - 00:47] Speaker A: Yeah, we get a lot of that. People come in and they're not quite sure what to make of it, but then they leave and they're really happy that they took the time to explore and engage with our activities because they often discover new interests and make meaningful connections with others in the community.\n[00:38 - 00:41] Speaker B: Actually, I was wondering, what kind of events do you usually host here?\n[00:47 - 00:56] Speaker A: Oh, we have a variety of events, from art exhibitions to community workshops. I was saying they're really happy that they came. So, what do you do?\n[00:57 - 00:58] Speaker B: I'm a doctor."
+  },
+  {
+    "key": "SODA_PROCESSED--train--953260",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--953260.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I'm sorry to hear that, boss. What's wrong?\n[00:03 - 00:18] Speaker B: Well, it turns out that our sales projections for the quarter were way off. We're actually down by about 15% from where we thought we would be at this point in time, and this miscalculation has already affected our inventory planning and marketing budget allocations significantly.\n[00:10 - 00:16] Speaker A: 15%? That's a significant difference. What caused the discrepancy?\n[00:18 - 00:33] Speaker B: It looks like we made an error in our calculations. Somebody dropped a decimal point somewhere and it completely threw off our numbers. Indy, I need you to fix this as soon as possible so that we can get accurate sales projections for the rest of the quarter and adjust our strategy accordingly.\n[00:34 - 00:43] Speaker A: I'll get on it right away. Just to clarify, do you need me to recheck all the previous calculations, or should I focus on the projections moving forward?\n[00:44 - 00:50] Speaker B: Focus on the projections moving forward. We need accurate data to make decisions for the rest of the quarter. Can you do that?\n[00:51 - 00:53] Speaker A: Of course, boss. I'll take care of it right away."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1096861",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1096861.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: Hey, Mom. I know I said I wanted to wear these overalls today, but I'm starting to regret it. People are staring at me and I feel really uncomfortable, like I made a mistake choosing this outfit because it stands out so much from what everyone else is wearing today.\n[00:09 - 00:15] Speaker B: Wait, Sammie, are you sure they're actually staring? Sometimes we just feel like everyone is looking when we're self-conscious.\n[00:16 - 00:18] Speaker A: Maybe... but I still feel embarrassed.\n[00:19 - 00:27] Speaker B: Don't be embarrassed, Sammie. You look cute in your overalls! And besides, who cares if people are staring? If they're staring, it's probably because they're jealous of how stylish you look!\n[00:28 - 00:30] Speaker A: I guess you're right. Thanks, Mom.\n[00:31 - 00:34] Speaker B: Of course, honey! Now go have fun and forget about what everyone else thinks!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--824468",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--824468.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: So what do we have here?\n[00:01 - 00:04] Speaker B: We have a dead body. It looks like he was stabbed.\n[00:05 - 00:16] Speaker A: Do we know who the victim is yet? We're waiting for the ID confirmation from the coroner's office and forensic team who are currently processing the fingerprints and dental records.\n[00:06 - 00:10] Speaker B: Sorry to interrupt, but I need to clarify, was there any sign of a struggle at the scene?\n[00:16 - 00:21] Speaker A: Yes, there were signs of a struggle. We're not sure yet. We're still investigating.\n[00:22 - 00:23] Speaker B: Do you have any leads?\n[00:23 - 00:30] Speaker A: We're following a few leads, but we're not ready to release any detailed information until we have more concrete evidence.\n[00:31 - 00:38] Speaker B: I understand the need for confidentiality, but can you at least confirm if the leads are based on witness statements or forensic evidence?\n[00:38 - 00:47] Speaker A: Mostly forensic evidence. I see. Well, let me know if you need any help with the investigation. I'm good at solving crimes.\n[00:47 - 00:49] Speaker B: Thanks, we'll keep that in mind."
+  },
+  {
+    "key": "SODA_PROCESSED--train--356688",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--356688.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Why do you have to be so cocky all the time? It's really annoying.\n[00:04 - 00:13] Speaker B: I'm not trying to be annoying, I'm just confident in my abilities and the work I put in, which I believe is important for personal growth and achieving success in any field.\n[00:07 - 00:13] Speaker A: Confident or not, it still comes off as arrogance, and it makes me look bad by comparison.\n[00:13 - 00:20] Speaker B: I'm sorry if I make you look bad, but I don't mean to. I guess I just don't see how being confident is a bad thing.\n[00:20 - 00:27] Speaker A: It's not a bad thing, but you don't need to flaunt it all the time. It just makes you seem like you're trying to show off.\n[00:27 - 00:31] Speaker B: I'm not trying to show off, I'm just proud of myself and what I've accomplished.\n[00:31 - 00:42] Speaker A: That's fine, but there's a difference between being proud and being  overbearing and making others feel inferior, which can create unnecessary tension in our relationship and among our peers.\n[00:43 - 00:49] Speaker B: If you mean cocky, I get it. But sometimes I can't help but feel confident about myself. It's just who I am.\n[00:49 - 00:55] Speaker A: Well, maybe you should try to tone it down a bit, especially around me. It really gets on my nerves.\n[00:56 - 00:58] Speaker B: I'll try to tone it down, but I can't promise anything."
+  },
+  {
+    "key": "SODA_PROCESSED--train--760966",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--760966.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: I don't know why I did it. I just felt so angry and frustrated. I just wanted to hurt myself.\n[00:06 - 00:08] Speaker B: Why do you think you felt that way?\n[00:08 - 00:25] Speaker A: I don't know. Things have just been really tough lately. My job is stressful, my relationships are falling apart, and I just feel like I can't handle everything that's coming at me all at once without any support system or coping mechanisms to help me through these difficult times.\n[00:18 - 00:23] Speaker B: Have you considered speaking to a professional about these feelings? It sounds like you're going through a lot.\n[00:26 - 00:42] Speaker A: I have thought about it, but I feel like it might not help. No one really understands what I'm going through. My friends and family are all busy with their own lives, and I don't want to  burden them with my problems or seem weak when they're already dealing with so much in their own personal and professional lives.\n[00:43 - 00:52] Speaker B: I know it can be hard to reach out, but sometimes people are more willing to help than we think. Maybe we can help connect you with some resources in the community that can provide support.\n[00:52 - 00:57] Speaker A: That might be helpful. I guess I just need to take that first step and see what happens."
+  },
+  {
+    "key": "SODA_PROCESSED--train--797399",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--797399.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Hi, Eian. I'm Sephora. I saw you at the library and you were behaving strangely. Are you a threat?\n[00:07 - 00:16] Speaker B: No, I'm not a threat. I was just feeling a bit out of place, I guess. It was just one of those days where everything felt off and I couldn't quite put my finger on what was wrong.\n[00:09 - 00:13] Speaker A: Out of sorts? Or was it something specific that triggered it?\n[00:16 - 00:21] Speaker B: I think it was just a mix of things. I was feeling really off and like something wasn't right.\n[00:21 - 00:22] Speaker A: Do you need help?\n[00:23 - 00:29] Speaker B: No, I don't think so. I think I just need to go home and take some time to clear my head. Maybe I'll feel better after some rest.\n[00:30 - 00:37] Speaker A: Wait, before you go, are you sure there's nothing else bothering you? Sometimes talking it out can help.\n[00:38 - 00:42] Speaker B: I appreciate that, but really, I just need to rest. Thanks for asking, though.\n[00:43 - 00:48] Speaker A: Okay, well if you're sure you're not a threat. Let me know if you need anything.\n[00:49 - 00:50] Speaker B: I will, thanks."
+  },
+  {
+    "key": "SODA_PROCESSED--train--193968",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--193968.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: I can't believe I'm stuck in this mud. It's so cold and wet and it smells like something rotten that's been decomposing for weeks, maybe even months, with this overpowering stench that's making me nauseous.\n[00:04 - 00:11] Speaker B: Awful, I know. But let's focus on getting you out of there. Have you tried shifting your weight to one side to see if that helps?\n[00:12 - 00:21] Speaker A: I've been trying to get out for a while now, but the mud is just too thick. I can't seem to get a good grip or find any solid ground to push off from.\n[00:21 - 00:26] Speaker B: Move? Maybe we can find something to use as leverage. Hold on, let me look around.\n[00:26 - 00:31] Speaker A: I appreciate your help. I'm starting to get really cold and scared.\n[00:31 - 00:34] Speaker B: Don't worry, we'll get you out of there. Just hang tight for a moment."
+  },
+  {
+    "key": "SODA_PROCESSED--train--717045",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--717045.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey boss, what's up?\n[00:01 - 00:04] Speaker B: Not much, just getting some work done. What about you?\n[00:05 - 00:21] Speaker A: I'm just finishing up a project for a client. It was a bit of a rush job, but I think they're going to be satisfied with the final outcome despite the tight deadline because we incorporated all their last-minute changes while maintaining the project's core vision.\n[00:11 - 00:16] Speaker B: Oh, speaking of rush jobs, did you manage to get everything approved by the client before starting?\n[00:21 - 00:35] Speaker A: Yes, I made sure to get their approval before diving in. I just had to work a few extra hours each day and made sure to stay on schedule. It wasn't easy, but I managed to handle it without compromising the quality.\n[00:36 - 00:40] Speaker B: I hope you didn't burn yourself out. It's important to pace yourself too, you know?\n[00:40 - 00:46] Speaker A: I appreciate the concern. I managed to balance it out, and I'm glad I could help out.\n[00:46 - 00:51] Speaker B: You're always so dedicated to your work. I'm sure your client appreciated the extra effort.\n[00:51 - 00:56] Speaker A: Thanks, boss. I just try to do my best for the company and our clients.\n[00:56 - 00:59] Speaker B: That's what we need around here! Keep up the good work."
+  },
+  {
+    "key": "SODA_PROCESSED--train--98947",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--98947.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:02] Speaker B: Not much, what's up with you?\n[00:03 - 00:05] Speaker A: I'm feeling kind of down today.\n[00:05 - 00:07] Speaker B: Why, what happened?\n[00:07 - 00:24] Speaker A: I don't know, I just feel like everything is going wrong. My job is stressing me out, my relationship is not great, and I just feel like I can't catch a break lately. It's like no matter what I do, something else goes wrong and I'm stuck in this endless cycle of stress and disappointment.\n[00:17 - 00:24] Speaker B: Wait, is it something specific about your job that's stressing you out, or is it just everything piling up at once?\n[00:24 - 00:38] Speaker A: It's mostly everything piling up at once. But yeah, work has been really demanding lately, and it feels like I'm always behind. And then with my relationship, it's like we're not even on the same page anymore.\n[00:38 - 00:44] Speaker B: That sounds really tough. I'm sorry to hear that. It sounds like you could really use a friend right now.\n[00:44 - 00:48] Speaker A: Yeah, I guess so. It's just been a really tough week.\n[00:48 - 00:58] Speaker B: Well, let me see if I can make you laugh. Do you remember that time when we were in high school and we snuck out to go to that party? And then we got caught by your mom when we were trying to sneak back in through the window?\n[00:58 - 01:01] Speaker A: Oh my god, yes! My mom was furious!\n[01:02 - 01:08] Speaker B: We were so lucky she didn't ground us for life! But man, that was a close call. Just thinking about it still makes me laugh.\n[01:09 - 01:13] Speaker A: Yeah, me too. Just remembering her face when she caught us is hilarious.\n[01:14 - 01:20] Speaker B: Well, there you go! I'm glad I could make you laugh. Sometimes all we need is a good laugh to brighten our day."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1049130",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1049130.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: Now, you listen to me. I want you to promise me that you'll never go near that house because it's dangerous and I don't want anything to happen to you, especially after what happened to the Johnson boy last summer when he wandered too close.\n[00:04 - 00:05] Speaker B: But Agustin-\n[00:13 - 00:15] Speaker A: No, Scout. Promise me.\n[00:15 - 00:16] Speaker B: I promise.\n[00:17 - 00:19] Speaker A: Good. Now, what were you doing over there?\n[00:20 - 00:21] Speaker B: Just lookin'.\n[00:21 - 00:23] Speaker A: What were you looking for?\n[00:23 - 00:24] Speaker B: Nothin'.\n[00:24 - 00:33] Speaker A: Then why were you  risking it if you weren't looking for anything specific, especially when you know how strict the rules are about trespassing in that part of town?\n[00:33 - 00:39] Speaker B: Actually, I was just curious. There's something about that place that makes me want to understand it better.\n[00:40 - 00:46] Speaker A: I understand curiosity, but it's not safe. So, why were you looking if there was nothing to find?\n[00:46 - 00:49] Speaker B: I guess I just wanted to see if the stories were true."
+  },
+  {
+    "key": "SODA_PROCESSED--train--228608",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--228608.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: Hi, coach. I'm getting ready for my presentation to the board and I wanted to go over it with you one last time.\n[00:07 - 00:10] Speaker B: Absolutely. Let's take a look at your slides.\n[00:10 - 00:26] Speaker A: Okay. So, my presentation is about the new product development process that we've been refining over the past few months to ensure it's as efficient as possible while also maintaining high quality standards and meeting all regulatory requirements.\n[00:16 - 00:23] Speaker B: Sorry to jump in, but before we dive into the details, have you thought about how you'll address any potential concerns from the board regarding this process?\n[00:27 - 00:37] Speaker A: That's a good point. I was planning to discuss some areas for improvement later in the presentation. But first, I want to give them an overview of the process we've been using.\n[00:37 - 00:40] Speaker B: Got it. Let's continue with the overview then.\n[00:40 - 00:49] Speaker A: Okay. So, my first slide is an overview of the process that we've been using and how it aligns with our overall strategic goals.\n[00:49 - 00:55] Speaker B: Well, let's go through your presentation and see if there are any areas where we can make some changes or tweaks.\n[00:55 - 00:58] Speaker A: Thanks, coach. I feel a lot better now.\n[00:58 - 01:04] Speaker B: You're welcome. I think you'll do great. Just remember to stay calm and focused when you're presenting to the board.\n[01:04 - 01:07] Speaker A: I will. Thanks again for your help."
+  },
+  {
+    "key": "SODA_PROCESSED--train--766234",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--766234.wav",
+    "model_output": "[00:00 - 00:23] Speaker A: At yesterday's meeting, we discussed the new project plan and decided to start implementing it next quarter. This plan mainly involves resource allocation and team collaboration. We hope to increase our productivity and streamline communication between departments during the execution phase by implementing weekly cross-functional syncs and establishing clear KPIs for each team member.\n[00:11 - 00:17] Speaker B: Sorry to interrupt, I just thought of a question, about our existing budget, is it enough to support the implementation of this plan?\n[00:23 - 00:41] Speaker A: This plan does need more financial support, but we have also considered some additional sources of funding. However, I haven't mentioned our application of automation tools  which could potentially reduce some costs in the long run by minimizing manual errors and optimizing our workflow processes across multiple departments.\n[00:41 - 00:52] Speaker B: Automation tools are certainly important, but I am more concerned about whether our team's current skills can match the requirements of these tools. Do you think we need to schedule additional training sessions?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--180962",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--180962.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Oh my gosh, Marciano! I'm so excited for you! I had no idea you were interested in photography!\n[00:07 - 00:20] Speaker B: Yeah, I've been getting into it lately. I just love capturing moments and seeing how different lighting and angles can completely change the feel of a photo, transforming ordinary scenes into extraordinary works of art that tell compelling visual stories.\n[00:11 - 00:18] Speaker A: Sorry to jump in, but what kind of camera are you using? I've been thinking about getting into photography myself.\n[00:20 - 00:30] Speaker B: Oh, I'm using a Canon DSLR. It's been great for learning the basics. As I was saying, I just love capturing moments and memories, especially when I can experiment with different techniques.\n[00:30 - 00:33] Speaker A: That's so great! What do you like most about it?\n[00:34 - 00:44] Speaker B: I guess I just really enjoy the creative process. It's really fulfilling to be able to create something beautiful that will last forever, and it's amazing to see how my skills have improved over time.\n[00:44 - 00:48] Speaker A: Absolutely! Do you have any favorite subjects to photograph?\n[00:49 - 01:00] Speaker B: Hmm...I think my favorite thing to photograph is people. There's just something special about being able to capture someone's personality in a photo, especially when they're not even aware they're being photographed."
+  },
+  {
+    "key": "SODA_PROCESSED--train--217814",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--217814.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, what's up? How's your day going?\n[00:03 - 00:14] Speaker B: Not bad, just plugging away at some numbers. You know how it it gets when you're trying to make everything balance perfectly while also ensuring all the financial reports are accurate and compliant with the latest regulations.\n[00:06 - 00:13] Speaker A: Actually, speaking of numbers, I wanted to ask you—do you think we'll be able to close the books by the end of the week?\n[00:15 - 00:30] Speaker B: That's the plan, but it might be tight. I was just about to mention that sometimes it can be a bit mind-numbing staring at numbers all day long. But I like the challenge of trying to make everything balance out in the end. Plus, I get a sense of satisfaction when everything adds up perfectly.\n[00:30 - 00:35] Speaker A: I get that! And that satisfaction is probably what makes you such a great accountant.\n[00:36 - 00:41] Speaker B: Thanks, I appreciate that. I really do love my job, even though it can be challenging at times.\n[00:41 - 00:44] Speaker A: Well, we're lucky to have you on our team!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--104984",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--104984.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: I'm so sorry to hear about your daughter. I can't imagine how you're feeling.\n[00:04 - 00:18] Speaker B: Thank you. I'm just struggling to figure out how I'm going to pay for her hospital bill. It's so expensive and I don't have enough savings to cover it all, and I'm worried about how to manage the payments while also taking care of my other children and keeping up with our daily expenses.\n[00:11 - 00:20] Speaker A: Insurance? I understand, that must be incredibly stressful. Listen, let me help you out with that. I'll pay for your daughter's hospital bill.\n[00:21 - 00:25] Speaker B: Oh, no, I couldn't possibly accept that kind of help from a stranger.\n[00:25 - 00:34] Speaker A: It's no problem at all. Really, it's the least I can do. Let me take care of this for you. You shouldn't be worrying about finances at a time like this.\n[00:35 - 00:41] Speaker B: But are you sure? I mean, that's such a huge amount, and I don't want to put you in a difficult position.\n[00:41 - 00:45] Speaker A: I'm sure. It's the right thing to do. Let me help you out here.\n[00:45 - 00:48] Speaker B: Thank you so much, Joshua. You're a lifesaver!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--937978",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--937978.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: Thank you so much for taking me on this amazing trip! The Himalayas are absolutely breathtaking. I feel so relaxed here, and the fresh air is wonderful. I can't believe how lucky I am to be able to experience all of this!\n[00:14 - 00:31] Speaker B: You're very welcome! I'm glad you're enjoying yourself. The Himalayas are a truly special place. There's something about the mountains that just makes you feel at peace, don't you think it's like a natural therapy for the soul that connects us to something greater than ourselves and helps put all our daily worries into perspective?\n[00:23 - 00:27] Speaker A: Absolutely! By the way, do you come here often?\n[00:31 - 00:41] Speaker B: Oh yes, I love it here! I try to come as often as I can. It's a great way to clear your head and recharge your batteries, especially after dealing with the hustle and bustle of city life.\n[00:41 - 00:49] Speaker A: I can definitely see that. I think I could stay here forever and just soak up all the peace and tranquility that the mountains offer.\n[00:49 - 00:58] Speaker B: I know exactly what you mean! But unfortunately, we'll have to head back down at some point. Just curious, what do you think is the main reason why people find mountains so calming?\n[00:59 - 01:11] Speaker A: That's a good question. I think it's the combination of the natural beauty and the sense of isolation from everyday stress. But you mentioned we have to head back down—how much time do we have left here?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1007416",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1007416.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Hey! I'm doing good, thanks for asking. I'm happy for you too! How did she take it?\n[00:06 - 00:22] Speaker B: She was really happy! We're both really excited to be engaged. It's still sinking in, but we're both really happy. Thanks for being supportive, it means a lot to us as we start planning this new chapter in our lives and begin to envision what our future together will look like with all its exciting possibilities.\n[00:15 - 00:21] Speaker A: Sorry to interrupt, but I just have to ask, have you guys thought about setting a date yet?\n[00:23 - 00:32] Speaker B: Not yet, we're still figuring it out. Right now we're just enjoying being engaged and figuring out what our next steps are going to be. But thank you again, your support means a lot to us.\n[00:33 - 00:46] Speaker A: Of course! I'm just glad you're both happy. This is a really big step for you guys and I'm sure you'll be great together. Let me know if there's anything I can do to help out with the wedding planning or anything else, okay?\n[00:46 - 00:50] Speaker B: Thanks, Amit. That means a lot to me. I'll let you know if we need any help."
+  },
+  {
+    "key": "SODA_PROCESSED--train--374749",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--374749.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Kamilla, I want to talk to you about something important.\n[00:03 - 00:06] Speaker B: What is it, Macyn? Is everything okay?\n[00:06 - 00:11] Speaker A: Everything is fine. I just wanted to talk to you about being more careful with your things.\n[00:12 - 00:20] Speaker B: What do you mean? I am careful with my things. I don't take them for granted and always make sure to keep track of my belongings because I understand how valuable they are to me.\n[00:15 - 00:23] Speaker A: I understand that, but I noticed last week that you left your laptop out in the open at the café. What if someone had taken it?\n[00:23 - 00:28] Speaker B: Oh, I didn't even think about that. You're right. I'll be more cautious with where I leave my things.\n[00:29 - 00:35] Speaker A: I know you're not taking them for granted, but sometimes you might not realize how lucky you are to have them.\n[00:35 - 00:36] Speaker B: What do you mean?\n[00:36 - 00:56] Speaker A: Well, think about it. You have a lot of nice things - more than most people have. And it's important to be grateful for what you have. But sometimes people can take their things for granted and not appreciate them as much as they should, especially when it's easy to replace them without considering the effort and resources that went into acquiring them in the first place.\n[00:55 - 01:02] Speaker B: I get what you're saying now. It's not just about being careful, but also about recognizing how fortunate I am. I'll definitely work on that.\n[01:03 - 01:06] Speaker A: Thank you, Kamilla. I know you'll do great."
+  },
+  {
+    "key": "SODA_PROCESSED--train--76986",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--76986.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Colston, I've been trying to tell you this for hours now and you're just not listening to me!\n[00:05 - 00:11] Speaker B: What is it that you want to say, Yazmine? I'm sorry, I was just preoccupied with other things.\n[00:11 - 00:18] Speaker A: It doesn't matter what else is going on in your life, when I'm talking to you, I expect you to give me your full attention.\n[00:19 - 00:21] Speaker B: Alright, I'm sorry. What did you want to say?\n[00:21 - 00:40] Speaker A: Well, ever since we moved into this new house, I've been feeling really claustrophobic. It's like the walls are closing in on me and I can't seem to find any space where I feel comfortable, even though the house is technically larger than our previous one, which makes this feeling even more confusing and frustrating for me.\n[00:30 - 00:32] Speaker B: Have you talked to anyone about this? Maybe a therapist?\n[00:40 - 00:53] Speaker A: No, I haven't gone that route yet. But just talking to you about it is helping a little bit. Anyway, what I was thinking was maybe we could move back into our old house or find a new one altogether. What do you think?\n[00:54 - 01:09] Speaker B: I don't know, Yazmine. We just moved into this house a few months ago and we just put all new furniture in and  spent a lot of time and money on renovations that were specifically designed to make this place feel more like our dream home, so it's difficult for me to consider moving again so soon.\n[01:10 - 01:17] Speaker A: Colston, this is really important to me. I'm not asking you to make a decision right now, but can we at least look into it?\n[01:18 - 01:20] Speaker B: Yeah, sure. We can look into it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--538753",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--538753.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey there, little one. Are you alright?\n[00:02 - 00:03] Speaker B: I'm hungry.\n[00:04 - 00:15] Speaker A: Oh, I'm so sorry. Here, let me give you something to eat, maybe a sandwich or some fruit? I also have some granola bars if you'd prefer something more filling and nutritious.\n[00:08 - 00:11] Speaker B: Do you have anything warm? It's been really cold lately.\n[00:15 - 00:20] Speaker A: Yes, I have some warm soup. Here you go. Do you live around here?\n[00:20 - 00:24] Speaker B: No, my family is homeless. We don't have a place to stay.\n[00:24 - 00:37] Speaker A: That's really tough. I wish I could do more to help you find a shelter or connect you with some  resources that could provide long-term assistance like food programs, job training, and temporary housing options.\n[00:37 - 00:40] Speaker B: It's okay, you've already done a lot by just being kind.\n[00:41 - 00:46] Speaker A: I wish there was more I could do. Maybe one day things will get better for you.\n[00:46 - 00:48] Speaker B: I hope so. Thank you for caring."
+  },
+  {
+    "key": "SODA_PROCESSED--train--27924",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--27924.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:03] Speaker B: Not much. Just been hanging out at home today.\n[00:04 - 00:15] Speaker A: Yeah, I've been home all day too. It's been nice just relaxing in our own space without any distractions, enjoying the peace and quiet while we can before the busy week starts again.\n[00:09 - 00:15] Speaker B: Speaking of relaxing, did you notice how the living room feels even cozier since we rearranged the furniture?\n[00:16 - 00:24] Speaker A: I know! I'm so glad we found this place. It was perfect for us. The new layout really makes a difference. So, what did you do today?\n[00:25 - 00:31] Speaker B: Not much, just hung out around the house. Did some laundry, cleaned up a bit, made lunch… nothing exciting. What about you?\n[00:32 - 00:43] Speaker A: Same here. Just chilled at home and relaxed. Watched some TV, played with the dog… nothing too exciting either. But it was nice to have a lazy day every once in awhile.\n[00:43 - 00:54] Speaker B: Yeah, I know. I think we both needed it. We've been so busy  with work and other commitments that we haven't had much time for ourselves, and I feel like we've barely had a moment to just sit down and talk properly.\n[00:54 - 01:03] Speaker A: Exactly, and with everything going on lately, it's like we never get a chance to just breathe. We should definitely make lazy days a regular thing!\n[01:03 - 01:04] Speaker B: I would love that!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--16779",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--16779.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I'm sorry I didn't finish my math homework.\n[00:03 - 00:04] Speaker B: Why didn't you finish it?\n[00:04 - 00:14] Speaker A: I don't know, I just got distracted by my phone notifications and video games, which made me lose track of time completely despite knowing the assignment was due today.\n[00:06 - 00:11] Speaker B: Wayde, you're a smart kid, and I know you can do this. So why didn't you finish your homework?\n[00:15 - 00:20] Speaker A: Uh, I don't know. I was just playing around and then I forgot about it.\n[00:20 - 00:32] Speaker B: Wayde, this is important. Your grades are slipping and if you don't turn things around, you're going to end up  in a situation where you'll have to take summer classes or even repeat the grade, which would be much harder than just doing your homework now.\n[00:33 - 00:37] Speaker A: I understand, sir. I'm really sorry. I know I need to do better.\n[00:38 - 00:42] Speaker B: Good. Now, let's try this again. Why didn't you finish your math homework?\n[00:42 - 00:50] Speaker A: Like I said before, I was just playing around and then I forgot about it. But I'm sorry, and I'll try to do better next time."
+  },
+  {
+    "key": "SODA_PROCESSED--train--109817",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--109817.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Wow, this city is incredible! The history, the architecture... I've never seen anything like it!\n[00:06 - 00:18] Speaker B: Yes, it's definitely a unique place. It's been through a lot over the years, but it's always managed to rebuild and preserve its essence despite the challenges, maintaining its cultural heritage while adapting to modern needs and influences.\n[00:11 - 00:17] Speaker A: Speaking of bouncing back, do you know what the most significant event was that shaped the city's current form?\n[00:19 - 00:26] Speaker B: Oh, there were several, but one of the most impactful was a major earthquake in the 18th century. The city was almost entirely rebuilt after that.\n[00:27 - 00:31] Speaker A: That must have been a monumental effort. How long did it take to recover?\n[00:32 - 00:47] Speaker B: It took several decades, actually. But the resilience of the people was incredible. They rebuilt the city with even more impressive architecture. And as for the people who lived here, millions left their mark, as I mentioned before, and each generation added something unique to the city's character.\n[00:48 - 00:53] Speaker A: Right, and I'm curious, did that rebuilding effort influence the city's culture as well?\n[00:54 - 01:01] Speaker B: Absolutely. The new architecture brought in different styles, and the city became a melting pot of cultures, which is still evident today."
+  },
+  {
+    "key": "SODA_PROCESSED--train--636981",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--636981.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, Mom. I know I haven't called in a while, but I need to talk to you about something.\n[00:05 - 00:08] Speaker B: Braden! It's so good to hear from you. What's going on?\n[00:08 - 00:20] Speaker A: Things have just been really tough lately. I don't know if I can keep going like this, and I feel like I'm stuck in a never-ending cycle of stress and self-doubt that's making it impossible to focus on my studies.\n[00:13 - 00:17] Speaker B: Wait, what do you mean by \"tough\"? Is it school, work, or something else?\n[00:21 - 00:31] Speaker A: It's just school. Everything is so hard and I feel like I'm never going to catch up. And now with finals coming up, I don't know how I'm going to make it through.\n[00:32 - 00:49] Speaker B: Braden, listen to me. You are not a quitter and you are not going to give up on yourself. You've worked too hard for that. Your dad may be disappointed if you quit, but he would be even more disappointed if you gave up on yourself because he knows how much potential you have and how far you can go with your determination.\n[00:49 - 00:55] Speaker A: But what if I don't have as much potential as everyone thinks? What if I'm just not cut out for this?\n[00:56 - 01:07] Speaker B: I know it does, baby, but you have to be strong. You can do this. I believe in you  more than you believe in yourself right now, and I know you'll look back on this moment as just a temporary setback in your journey to success.\n[01:07 - 01:10] Speaker A: Thanks, Mom. Just talking to you makes me feel better.\n[01:11 - 01:15] Speaker B: That's what mothers are for. Now, tell me what else is going on in your life."
+  },
+  {
+    "key": "SODA_PROCESSED--train--952835",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--952835.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey Joe, I just wanted to let you know that I completed a task!\n[00:04 - 00:06] Speaker B: That's great! What was the task?\n[00:07 - 00:21] Speaker A: Well, I set a timer for myself and got to work. After I finished the task, I felt really satisfied and like I had made good use of my time, which is something I've been struggling with lately due to all the distractions at home and at work.\n[00:12 - 00:18] Speaker B: Sorry to cut in, but did setting the timer help you stay focused? I'm thinking of trying that myself.\n[00:21 - 00:25] Speaker A: It definitely did! I felt more productive and accomplished afterward.\n[00:26 - 00:28] Speaker B: That's terrific! It's always great to feel productive.\n[00:29 - 00:36] Speaker A: Yeah, I definitely feel more productive when I complete tasks. Thanks for talking with me, Joe.\n[00:36 - 00:38] Speaker B: No problem, Terriana. Talk to you later!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--82238",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--82238.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hi.\n[00:01 - 00:01] Speaker B: Hey there.\n[00:02 - 00:03] Speaker A: So, what do you do?\n[00:04 - 00:06] Speaker B: I'm a software engineer. What about you?\n[00:06 - 00:07] Speaker A: I work in marketing.\n[00:08 - 00:11] Speaker B: That sounds interesting. What kind of stuff do you do?\n[00:11 - 00:28] Speaker A: A little bit of everything, really. I help come up with campaigns and strategies, and then we execute them and track the performance to see what works best and where we can improve, using advanced analytics tools and customer feedback to refine our approach continuously.\n[00:18 - 00:22] Speaker B: Sorry to interrupt, but how do you measure the success of your campaigns?\n[00:28 - 00:43] Speaker A: We use various metrics like engagement rates, conversion rates, and ROI. But I haven't finished explaining how we execute and track the results, which is always changing, and we often adjust our strategies based on real-time data.\n[00:43 - 00:48] Speaker B: That sounds really dynamic. Do you find it challenging to keep up with the constant changes?\n[00:49 - 00:54] Speaker A: Yeah, I love it actually. I'm really lucky to have found a career that I'm passionate about."
+  },
+  {
+    "key": "SODA_PROCESSED--train--992151",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--992151.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: It's great to finally meet you, Sarah. I've heard so much about you.\n[00:04 - 00:06] Speaker B: Likewise. It's nice to put a face to the name.\n[00:07 - 00:08] Speaker A: So, what do you do?\n[00:08 - 00:18] Speaker B: I'm a teacher. I teach English at a local high school where we focus on developing critical thinking skills through literature analysis and creative writing exercises.\n[00:11 - 00:17] Speaker A: Oh, English! That's fantastic. Do you get to incorporate a lot of creative writing into your lessons?\n[00:18 - 00:27] Speaker B: Yes, actually, I do. It's one of my favorite parts of the job. I love my job, even though it can be challenging at times. What about you? What do you do?\n[00:27 - 00:35] Speaker A: I'm an accountant. It's not as exciting as teaching, but it pays the bills, and I enjoy the problem-solving aspect of it.\n[00:35 - 00:39] Speaker B: But I imagine it must be really satisfying when everything balances out perfectly, right?\n[00:40 - 00:45] Speaker A: Absolutely, there's definitely a sense of accomplishment in that."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1131940",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1131940.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hi, I'm here to check out the new restaurant.\n[00:03 - 00:06] Speaker B: Sure, come on in! We're just about to open for lunch.\n[00:06 - 00:10] Speaker A: Great, I'm starving. So what's this place all about?\n[00:11 - 00:25] Speaker B: Well, we focus on healthy and organic food. Everything is made from scratch using local ingredients that are in season, so our menu changes frequently to showcase the best flavors each season has to offer while maintaining our commitment to sustainability.\n[00:16 - 00:22] Speaker A: Oh, are the ingredients sourced from nearby farms? I love supporting local producers.\n[00:25 - 00:34] Speaker B: Yes, exactly! We work with several local farms to get the freshest produce. We just opened up last week, so we're still getting everything set up, but we're really excited about it.\n[00:35 - 00:37] Speaker A: I can tell! So what's on the menu?\n[00:37 - 00:45] Speaker B: Let me show you. (She leads him to the menu board) We have a bunch of different salads, sandwiches, and soups. Everything is under $10.\n[00:45 - 00:50] Speaker A: That's great! I'll definitely be back for lunch soon. Thanks for showing me around.\n[00:51 - 00:52] Speaker B: No problem, enjoy your day!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--146698",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--146698.wav",
+    "model_output": "[00:00 - 00:10] Speaker A: Hi, can I stay here for a while? It's really cold and I just need to warm up for a bit because I've been walking outside in this freezing weather for over an hour now.\n[00:03 - 00:07] Speaker B: Sorry to jump in, but if you're going to stay longer, you'll need to purchase something.\n[00:11 - 00:13] Speaker A: Okay, I'll buy something.\n[00:13 - 00:15] Speaker B: All right, what would you like to purchase?\n[00:15 - 00:18] Speaker A: I don't know. What do you have?\n[00:18 - 00:30] Speaker B: We have a lot of different things. We have clothes, food, and other  essential items that might be useful in this weather, including warm blankets, hot beverages, and emergency supplies for extreme cold conditions.\n[00:30 - 00:32] Speaker A: What kind of food do you have?\n[00:32 - 00:36] Speaker B: We have different kinds of food. We have fruits, vegetables, meat, and more.\n[00:37 - 00:38] Speaker A: Do you have any apples?\n[00:39 - 00:41] Speaker B: Yes, we do. Would you like to purchase an apple?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--20810",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--20810.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Mama.\n[00:01 - 00:03] Speaker B: Hey, baby. What are you up to?\n[00:03 - 00:16] Speaker A: Just reading this book. It's really fascinating because it has such vivid descriptions of ancient ruins and the characters are so well-developed that you feel like you're right there with them on their journey. I think you'd like it too.\n[00:06 - 00:10] Speaker B: Oh, what book are you reading? Is it one of those adventure stories you like?\n[00:17 - 00:22] Speaker A: Yeah, it is. It's about a boy who goes on an adventure to find a lost city.\n[00:23 - 00:33] Speaker B: That sounds like a great story. I can't wait to hear more about  what happens next in the boy's journey as he encounters mysterious artifacts and solves puzzles left behind by an ancient civilization.\n[00:33 - 00:37] Speaker A: Actually, Mama, do you think I could go on an adventure like that one day?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--771154",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--771154.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Mom. Can I go to Tim's house today?\n[00:03 - 00:06] Speaker B: No, you can't go to Tim's house today.\n[00:06 - 00:14] Speaker A: Why can't I go? I finished all my chores and even helped with the dishes after dinner last night, so I really think I deserve this.\n[00:07 - 00:11] Speaker B: Because I said so. And before you ask again, you need to focus on your homework.\n[00:15 - 00:17] Speaker A: But I don't want to do my homework.\n[00:17 - 00:25] Speaker B: Well, you have to do it anyway. Now go  and get started immediately because your teacher specifically mentioned you need to improve your math skills this semester.\n[00:26 - 00:31] Speaker A: Wait, can't I just finish it later? I promise I'll get it done before bed.\n[00:31 - 00:35] Speaker B: No, you need to do it now. Once it's done, then we can talk about other plans."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1088159",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1088159.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey coach, can I talk to you for a second?\n[00:03 - 00:04] Speaker B: What's up Ceasar?\n[00:04 - 00:19] Speaker A: I'm just feeling really down right now. I feel like I've failed my team and let everyone down with my performance in the last game, especially since I know how much effort we've all put into preparing for this season and how much this tournament means to everyone.\n[00:10 - 00:18] Speaker B: Ceasar, I understand you're feeling this way, but remember, everyone has off days. What happened specifically that's making you feel like this?\n[00:20 - 00:29] Speaker A: Well, I made a mistake during the last game that cost us a point, and I can't stop replaying it in my head. I feel like I've let everyone down.\n[00:29 - 00:40] Speaker B: Ceasar, it sounds like you're being pretty hard on yourself. Everyone makes mistakes sometimes, even the best players in the world. The important thing is that you learn from them and don't let them get you stuck in a negative mindset.\n[00:40 - 00:46] Speaker A: I know, coach, but it's just tough to shake off. I keep thinking about how it affected the team.\n[00:47 - 00:54] Speaker B: You're still a valuable member of this team and we need you out there on the field. The team counts on your resilience as much as your skill.\n[00:55 - 00:59] Speaker A: Thanks coach. Just hearing that makes me feel a little better.\n[00:59 - 01:02] Speaker B: No problem, now go out there and show everyone what you're made of!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--179972",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--179972.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: So, how did you like the book?\n[00:02 - 00:05] Speaker B: I loved it! The ending was so shocking, I couldn't believe what happened.\n[00:06 - 00:14] Speaker A: Sorry to interrupt, but I just have to ask—did you see that twist with the protagonist coming? I was totally blindsided.\n[00:15 - 00:18] Speaker B: No, I didn't see it coming at all! It was so unexpected.\n[00:18 - 00:21] Speaker A: Yeah, I know. I couldn't put it down.\n[00:22 - 00:25] Speaker B: Me neither. I'm so glad you wanted to read it.\n[00:25 - 00:36] Speaker A: Yeah, I was curious about the protagonist's journey and how it would evolve, especially after that major setback when they had to completely rethink their entire approach to solving the central conflict.\n[00:29 - 00:37] Speaker B: Oh, speaking of the journey, what did you think about that part where the protagonist had to make that impossible choice? It really stuck with me.\n[00:37 - 00:42] Speaker A: It was definitely a rollercoaster ride. There were so many twists and turns.\n[00:42 - 00:45] Speaker B: I know! I didn't see any of them coming.\n[00:45 - 00:49] Speaker A: That's what made it so great. It kept you guessing the whole time.\n[00:49 - 00:53] Speaker B: Definitely. It was a great book. Thanks for lending it to me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--726133",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--726133.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, babe. You look great today.\n[00:02 - 00:13] Speaker B: Thanks, Cattleya. You always know how to make me feel so special and appreciated, especially when you notice the little details like how I styled my hair differently today or picked out this particular shade of lipstick.\n[00:05 - 00:12] Speaker A: Sorry to interrupt, but I just have to ask—where did you get that dress? It's absolutely stunning!\n[00:14 - 00:26] Speaker B: Oh, I got it from that boutique downtown. I knew you would like it. I saw it and thought of you  immediately because it has that elegant yet modern aesthetic you always gravitate toward, with the perfect balance of sophistication and playfulness.\n[00:27 - 00:32] Speaker A: You have such an eye for fashion! Maybe we should go shopping together sometime.\n[00:32 - 00:35] Speaker B: I'd love that! Well, you have excellent taste too!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--617278",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--617278.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Mom. I wanted to ask you something.\n[00:02 - 00:03] Speaker B: Sure, what is it?\n[00:04 - 00:25] Speaker A: I found this book at school today and I really want to read it. But it's one of those books that's maybe not appropriate for me yet. You know, because of the subject matter. So I was wondering if you would take a look at it first and let me know if it's okay for me to read, maybe we could even read some chapters together so you can explain anything that might be confusing or too mature.\n[00:16 - 00:20] Speaker B: Oh, do you mean it's one of those books that might have some mature themes? Which book is it?\n[00:26 - 00:30] Speaker A: Yeah, exactly. It's called *The Catcher in the Rye*.\n[00:30 - 00:49] Speaker B: Ah, yes. I've actually heard of this book before. It's supposed to be very good. But you're right, it might not be appropriate for you just yet. How about we compromise and you can read some of it now and then we'll  talk about the parts that might be a bit too mature for you, and I'll help you understand the deeper themes and messages that the author is trying to convey through the story.\n[00:49 - 00:53] Speaker A: Discuss it afterwards? That sounds great, thanks Mom!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--781246",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--781246.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, what's up?\n[00:01 - 00:04] Speaker B: Not much. Just hanging out. What about you?\n[00:04 - 00:16] Speaker A: I'm doing great! I just tried this new thing where you jump over things and it's so much fun! It really gets your adrenaline pumping and makes you feel alive in a way that few other activities can.\n[00:10 - 00:14] Speaker B: Wait, jump over things? Like parkour or something? That sounds intense!\n[00:16 - 00:26] Speaker A: Yeah, kind of like parkour! It's just so exhilarating. I feel like I can do anything when I'm jumping over obstacles. It's almost like flying for a split second.\n[00:27 - 00:31] Speaker B: I don't know if I could ever do that. I mean, what if I fall or something?\n[00:31 - 00:41] Speaker A: That's the thing—you just have to trust yourself. You can be fearless too! Just try it next time there's something new to try. You'll see, it's really not that scary."
+  },
+  {
+    "key": "SODA_PROCESSED--train--933043",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--933043.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hi! I'm looking for a shirt to wear to my friend's birthday party.\n[00:04 - 00:18] Speaker B: Well, you've certainly come to the right place! We have a great selection of shirts in a variety of colors and styles, including casual button-downs, polo shirts, and some more formal options, so you can find something that suits the occasion perfectly while staying comfortable.\n[00:10 - 00:15] Speaker A: Yeah, I saw that. I'm looking for something nice, but not too dressy. Do you have anything in mind?\n[00:18 - 00:25] Speaker B: Got it. How about this pink shirt? It's a great color and it's only twenty dollars, which is a great deal for something this stylish.\n[00:25 - 00:32] Speaker A: Sorry to cut in, but does it come in other colors as well? I'm not sure if pink is quite my style.\n[00:33 - 00:36] Speaker B: Yes, it does! We have it in blue, white, and black too.\n[00:36 - 00:39] Speaker A: That sounds perfect! I'll take the blue one.\n[00:39 - 00:42] Speaker B: Great! I'll just need your size and I'll ring you up.\n[00:43 - 00:44] Speaker A: It's a small.\n[00:44 - 00:48] Speaker B: Okay, that will be twenty dollars total. Would you like to pay with cash or credit?\n[00:49 - 00:50] Speaker A: Credit, please."
+  },
+  {
+    "key": "SODA_PROCESSED--train--115967",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--115967.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Thanks so much for your help, detective. I really appreciate it.\n[00:03 - 00:06] Speaker B: You're welcome. I'm just glad I could be of assistance.\n[00:07 - 00:22] Speaker A: I still can't believe that my husband was capable of something like this. It's just so hard to process everything and come to terms with the reality of the situation, especially when you've built a life together based on trust and mutual understanding for so many years.\n[00:12 - 00:18] Speaker B: I understand how shocking this must be. Have you thought about seeking support from a counselor or a support group?\n[00:23 - 00:36] Speaker A: I haven't considered that yet. I know it's difficult, but sometimes the people we love are capable of doing terrible things. Try to take comfort in the fact that you now know the truth and can move on with your life.\n[00:36 - 00:40] Speaker B: I suppose you're right. It's just going to take some time to get used to.\n[00:40 - 00:48] Speaker A: That's understandable. If you need anything, don't hesitate to reach out to me. I'm here to help in any way I can.\n[00:48 - 00:52] Speaker B: Oh, before I forget, do you have any recommendations for good counselors in the area?\n[00:53 - 00:58] Speaker A: Yes, I can provide you with some contacts. Don't hesitate to give me a call.\n[00:58 - 00:59] Speaker B: I will, thank you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--888565",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--888565.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I'm finally going to get my degree.\n[00:02 - 00:05] Speaker B: Congratulations! It's been a long time coming.\n[00:05 - 00:19] Speaker A: Yeah, I'm pretty excited. It feels like all of my hard work is finally going to pay off, and I can start the next chapter of my life with new opportunities and experiences that will help me grow both personally and professionally.\n[00:11 - 00:16] Speaker B: Sorry to jump in, but have you thought about what kind of job you want to pursue right after graduation?\n[00:20 - 00:41] Speaker A: I'm not really sure yet. I know that I want to get a good job and that a degree will make me more qualified for the positions I'm interested in. Hopefully it will also help me get hired more  quickly, but I still need to figure out exactly what path I want to take and whether I should consider internships or additional certifications to strengthen my profile.\n[00:42 - 00:47] Speaker B: That's true, but have you considered how competitive the job market is in your field right now?\n[00:47 - 01:01] Speaker A: I have, and that's actually one of the reasons I'm hoping the degree will give me an edge. But more than that, I just hope I can find something I'm really passionate about so that I can enjoy my work and feel like it's worthwhile."
+  },
+  {
+    "key": "SODA_PROCESSED--train--617839",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--617839.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Hey, Sarah. I just finished checking something off my to-do list and I feel so much better now.\n[00:06 - 00:14] Speaker B: That's great! What was it that you were able to cross off your list after all this time? I'm really curious to know what finally got your attention and motivated you to complete it.\n[00:08 - 00:16] Speaker A: Sorry to interrupt, but I just remembered I need to ask you something important about the budget report. Is it due tomorrow?\n[00:16 - 00:22] Speaker B: Oh, yes, it is due tomorrow. But back to your to-do list, what was it that you were able to cross off?\n[00:22 - 00:30] Speaker A: I was finally able to complete a project that I've been procrastinating on for weeks. It feels good to have it done and out of the way.\n[00:30 - 00:42] Speaker B: I know how you feel. There's nothing like the sense of relief that comes with completing a task that you've been  avoiding for a long time, especially when it's something that's been weighing on your mind and affecting your productivity in other areas of work.\n[00:43 - 00:50] Speaker A: Actually, speaking of relief, I wanted to ask if you have any tips for managing stress when deadlines are looming?\n[00:50 - 00:54] Speaker B: Yeah, I'm just glad that it's over and I can move on to the next thing on my list.\n[00:55 - 01:00] Speaker A: Well, congratulations! You should be proud of yourself for finally getting it done."
+  },
+  {
+    "key": "SODA_PROCESSED--train--787888",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--787888.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: I'm so happy I finally get to practice the cakewalk! I've been wanting to learn it for such a long time, and now I finally have the chance to master the intricate steps and elegant movements that make this dance so special.\n[00:05 - 00:07] Speaker B: You look great out there! You make it look so easy.\n[00:13 - 00:29] Speaker A: Thanks! It's actually a lot of fun. I love the feeling of moving gracefully across the floor and my skirts swirling around me. It makes me feel  like I'm floating, almost like I'm in a different era where ballroom dances were the highlight of every social gathering.\n[00:29 - 00:33] Speaker B: Sorry, I just have to ask—how long did it take you to get this good?\n[00:33 - 00:41] Speaker A: Oh, it took a few weeks of practice, but I still have a lot to learn. I'm just glad I finally get to learn it. I've been wanting to for months.\n[00:42 - 00:45] Speaker B: Well, you're definitely doing a great job!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--806479",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--806479.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hi, Mom.\n[00:01 - 00:03] Speaker B: Hi, Brittnay. How are you?\n[00:04 - 00:07] Speaker A: I'm good. I just wanted to call and talk to you.\n[00:08 - 00:17] Speaker B: I'm glad you called. I've been worried that something might have happened to you because I haven't heard from you in days and you know how my motherly instincts kick in when you don't check in regularly.\n[00:10 - 00:14] Speaker A: I know. I'm sorry. But I'm okay now. Really.\n[00:18 - 00:19] Speaker B: What happened? Tell me everything.\n[00:20 - 00:39] Speaker A: It's a long story, but the short version is that I got lost in the woods and ended up at this old cabin in the middle of nowhere. It was really scary at first, but then this nice couple found  me wandering around disoriented and took me in, gave me warm food and clothes, and helped me contact the authorities to get back home safely.\n[00:40 - 00:43] Speaker B: Wait, you were lost in the woods? How long were you out there?\n[00:44 - 00:51] Speaker A: I think it was about a day and a half before they found me. But I was going to say, they helped me get back home safely.\n[00:52 - 00:56] Speaker B: Oh, Brittnay. I'm so glad you're okay. I was so worried about you.\n[00:57 - 01:01] Speaker A: I know. I'm sorry. But like I said, I'm okay now.\n[01:01 - 01:07] Speaker B: Well, you're definitely grounded when you get home. No more wandering off into the woods by yourself. Understand?\n[01:08 - 01:09] Speaker A: Yes, Mom. I understand."
+  },
+  {
+    "key": "SODA_PROCESSED--train--338555",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--338555.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: So, what were some of your favorite books growing up?\n[00:03 - 00:15] Speaker B: I loved the Harry Potter series, obviously. But I also really enjoyed The Hunger Games and the way it portrayed a dystopian society with such vivid detail and complex characters that really made you question power structures and human nature.\n[00:08 - 00:17] Speaker A: Oh, The Hunger Games! That was such an intense series. I remember being on the edge of my seat the whole time. How did you feel about the ending?\n[00:18 - 00:28] Speaker B: The ending was definitely surprising, but I think it made sense for Katniss's character arc. By the way, I also really liked Divergent—especially the way it handled the concept of factions.\n[00:28 - 00:35] Speaker A: Divergent was great too! But speaking of Katniss, do you think her decisions in the last book were justified?\n[00:35 - 00:44] Speaker B: Absolutely, though they were tough decisions. But going back to Divergent, I think the way the series explored identity and society was really thought-provoking."
+  },
+  {
+    "key": "SODA_PROCESSED--train--716169",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--716169.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I want to be a teacher because I want to help people.\n[00:03 - 00:04] Speaker B: Why do you want to help people?\n[00:05 - 00:22] Speaker A: Because I feel like it's my purpose in life. I want to make a difference in the world, and I believe that becoming a teacher will allow me to reach out to young minds and inspire them to achieve their full potential while also creating a positive ripple effect that extends far beyond the classroom walls.\n[00:12 - 00:22] Speaker B: Sorry to jump in, but when you say \"make a difference,\" do you mean in a specific way, like in the lives of children, or is it more about contributing to society as a whole?\n[00:22 - 00:35] Speaker A: It's more about both, actually. As a teacher, I will be able to influence my students and help them learn and grow. And if I can make even a small difference in their lives, then I think that's really important.\n[00:35 - 00:40] Speaker B: Do you think that there are other ways that you could make a difference in the world besides becoming a teacher?\n[00:40 - 00:49] Speaker A: Of course. There are endless ways that someone can make a difference in the world. But for me, becoming a teacher is the best way that I can see myself doing it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--725089",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--725089.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey guys, do you want to get some photos together before we go our separate ways?\n[00:05 - 00:06] Speaker B: Yeah, that sounds great!\n[00:07 - 00:15] Speaker A: Okay, let's go over to that spot by the fountain where the lighting is better and we can get a nice backdrop of the surrounding gardens and architecture.\n[00:10 - 00:14] Speaker B: Oh, wait! Should we ask someone to take the picture for us so that everyone can be in it?\n[00:16 - 00:20] Speaker A: That's a good idea! I'll ask that person over there. Sounds good?\n[00:20 - 00:21] Speaker B: Sounds good!\n[00:21 - 00:25] Speaker A: All right, everyone get in close and say cheese!\n[00:25 - 00:26] Speaker B: Cheese!\n[00:26 - 00:33] Speaker A: Great, now let's try a few different poses. How about we all stand on one side and do a fun group pose together?\n[00:34 - 00:39] Speaker B: Actually, before we do that, should we take one where we're all just smiling normally first?\n[00:39 - 00:44] Speaker A: Sure, let's do that first. Then we can try the one-legged pose next!\n[00:44 - 00:48] Speaker B: Perfect! Now let's put our arms around each other and make a big group hug.\n[00:49 - 00:51] Speaker A: Aww, this is so sweet!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--150383",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--150383.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: I can't believe it. I was walking home from school and I saw my mom kissing another man.\n[00:05 - 00:08] Speaker B: Whoa, that's crazy. Are you sure it was your mom?\n[00:09 - 00:20] Speaker A: Yeah, I'm positive. I don't know what to think or how to even begin to process this situation because it completely contradicts everything I thought I knew about my parents' relationship.\n[00:11 - 00:16] Speaker B: Wait, where exactly did you see this? Was it somewhere public or near your house?\n[00:21 - 00:25] Speaker A: It was near our house, just a few blocks away. I don't know what to do.\n[00:25 - 00:31] Speaker B: Well, first of all, you need to take a breath and calm down. It's going to be okay. Do you want to talk about what you saw?\n[00:32 - 00:45] Speaker A: I don't know. It just came out of nowhere and it was so unexpected. I feel like I'm in shock right  now and I can't make sense of anything because my mind keeps replaying the scene over and over again in vivid detail.\n[00:45 - 00:50] Speaker B: I get that. But maybe it would help if you just let it out. What exactly did you see?\n[00:50 - 00:58] Speaker A: I saw them standing really close, talking, and then they kissed. I just froze. I feel like this is a nightmare.\n[00:58 - 01:04] Speaker B: That makes sense. It sounds like this is a really big deal for you. Have you talked to your mom about it yet?\n[01:04 - 01:09] Speaker A: No, I ran away and came here. I don't know if I can face her.\n[01:09 - 01:17] Speaker B: That's understandable. This is a lot to process. Do you want to stay here for a while? We can watch TV or play some video games to take your mind off of it.\n[01:18 - 01:22] Speaker A: Yeah, that sounds good. Thanks for being here for me.\n[01:22 - 01:24] Speaker B: Of course, that's what friends are for."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1070688",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1070688.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: Hi Karis, I'm so excited to have you over for dinner tonight. I've been planning the menu and setting the table all day. I hope you're ready for a cozy evening with some delicious food and great conversation about your recent travels through Europe that you mentioned last time we met.\n[00:08 - 00:15] Speaker B: Oh, I just remembered—I have a slight allergy to shellfish. I know you usually avoid it, but I wanted to mention it just in case.\n[00:16 - 00:43] Speaker A: No worries, there's no shellfish on the menu tonight. Well, let's get started then! For our first course, we'll be having a spinach and feta salad. The feta is from a local farm and the spinach is from my garden. For our main course, I've made chicken Parmesan with homemade tomato sauce and fresh mozzarella cheese. And for dessert, we'll be having tiramisu that I made from scratch this afternoon. I wanted it to be just right for tonight.\n[00:43 - 00:49] Speaker B: Tiramisu? That's my favorite dessert! I'm so excited to try it. You really know how to make a meal special.\n[00:50 - 01:06] Speaker A: I'm glad you're excited! I was about to say I made it this  morning using a special family recipe that's been passed down through generations, so it's extra fresh and has that authentic Italian flavor you can't find in restaurants. I hope you enjoy everything!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--720445",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--720445.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Dad, I just got a call from Grandma. She said that Grandpa passed away. I'm so sorry.\n[00:06 - 00:17] Speaker B: Oh, Draya. I'm so sorry to hear that. Your grandfather was a great man. He will be deeply missed by everyone who knew him for his kindness, wisdom, and the way he always made people feel welcome in his home.\n[00:12 - 00:17] Speaker A: I know. It's just hard to believe he's gone. I feel like I'm in shock right now.\n[00:17 - 00:34] Speaker B: It's perfectly normal to feel that way, son. This is a lot of news to take in all at once and it's going to take some time to process it all properly. Just try and take things one step at a time and lean on us for support, okay? We're here for you no matter what you need, whether it's someone to talk to or just a quiet moment together.\n[00:34 - 00:38] Speaker A: Yeah. Thanks, Dad. I appreciate that.\n[00:38 - 00:40] Speaker B: Of course, son. That's what family is for."
+  },
+  {
+    "key": "SODA_PROCESSED--train--960193",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--960193.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: What do you think about me running for city council, honey?\n[00:03 - 00:17] Speaker B: I think it's a great idea! You're so involved in the community and everyone knows you're a fair and honest person. I think you would bring a lot of positive change and represent our neighborhood well by addressing key issues like infrastructure improvements and community safety initiatives.\n[00:10 - 00:16] Speaker A: Sorry to jump in, but do you think my work schedule would allow me to commit fully to the council responsibilities?\n[00:17 - 00:26] Speaker B: That's a good point. It might be challenging, but I believe you can manage it. You would make an excellent city councilor and I know you would work hard to make our community a better place.\n[00:26 - 00:34] Speaker A: Thank you, sweetheart. I'm glad you feel that way. I'm a little nervous about it, but I think I could really make a difference if I was elected."
+  },
+  {
+    "key": "SODA_PROCESSED--train--334612",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--334612.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: I'm so happy that I started journaling. It's really helped me to process my emotions and reflect on my life in a positive way, and it's something I look forward to every day because it gives me clarity and helps me track my personal growth over time.\n[00:07 - 00:13] Speaker B: Sorry to jump in, but I just remembered—do you find that journaling helps you manage stress better, too?\n[00:15 - 00:28] Speaker A: Yes, it definitely helps with stress management. I can say whatever I want in my journal and there's no judgement. I can just be completely honest with myself, which is really liberating.\n[00:28 - 00:34] Speaker B: That makes sense. It's like having a safe space to just be yourself without having to worry about what anyone else thinks.\n[00:35 - 00:42] Speaker A: Exactly! And it's also helping me to focus on the positive things in my life, which is making me happier overall.\n[00:42 - 00:55] Speaker B: That's great! I'm really happy for you. I might start journaling myself if it's helping you so  much. It sounds like it could be really beneficial for me as well, especially during those times when I feel overwhelmed or need to work through complex emotions.\n[00:55 - 00:58] Speaker A: You should! I would highly recommend it!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--132857",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--132857.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Mom, I don't want to go back in. That was really embarrassing.\n[00:04 - 00:12] Speaker B: What happened? Why did they throw you out of the theater like that without even giving you a warning first? That seems really extreme for just yelling at a movie.\n[00:06 - 00:14] Speaker A: I was yelling at the screen. The movie was so bad, I couldn't help it. It's just not worth my time or money to watch something that terrible.\n[00:14 - 00:26] Speaker B: Well, maybe we can find something else for you to do instead then. Let's go look around and see if there's another activity that might cheer you up, like visiting that new arcade they just opened in the mall or maybe getting some ice cream.\n[00:26 - 00:30] Speaker A: No, I don't want to see anything else. I just want to go home.\n[00:30 - 00:39] Speaker B: Leighla, please try to understand. Movies are a form of entertainment and sometimes they're not going to be perfect. But that doesn't mean you should give up on them entirely.\n[00:39 - 00:45] Speaker A: I know, but this one was just so bad. I can't sit through something like that again.\n[00:45 - 00:53] Speaker B: All right, well how about we wait a little while and then we'll go home? Maybe by then you'll be in a better mood and willing to give another movie a try.\n[00:54 - 00:56] Speaker A: Fine. But I'm not going to like it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--472748",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--472748.wav",
+    "model_output": "[00:00 - 00:24] Speaker A: There are a few options we can consider. Chemotherapy is one option that we can use to try and kill the cancer cells. Surgery is another option that may be able to remove the tumor. Radiation is another option that we can use to target the cancer cells and shrink the tumor before surgery, making it easier to remove while minimizing damage to surrounding healthy tissue and improving overall surgical outcomes.\n[00:15 - 00:19] Speaker B: Sorry to cut in, but I'm really anxious to know—what do you think is the best option for me?\n[00:24 - 00:48] Speaker A: I think that surgery is the best option in your case. With chemotherapy, there is always the risk of the cancer coming back. With surgery, there is a chance that we can remove the tumor and all of the cancer cells along with it. I think it's worth considering surgery as an  option that could give you the best chance of a full recovery, especially since your tumor appears to be localized and hasn't spread to other parts of your body yet.\n[00:49 - 00:53] Speaker B: Surgery sounds like the right move. Let's schedule it as soon as possible.\n[00:53 - 01:12] Speaker A: Great, I will get our team to start working on getting you scheduled for surgery. In the meantime, there are some things you can do to help prepare yourself mentally and emotionally for what lies ahead. I suggest talking to a counselor or therapist who can help you deal with your feelings about your diagnosis and treatment options."
+  },
+  {
+    "key": "SODA_PROCESSED--train--69960",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--69960.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: This is such bullshit. I can't believe I'm going to prison for five years.\n[00:04 - 00:21] Speaker B: Amaree, we did everything we could. The jury found you guilty and the judge handed down the sentence. There's nothing more we can do to change that right now, but we can start preparing your appeal immediately and explore all possible legal avenues to reduce your sentence or overturn the conviction.\n[00:12 - 00:15] Speaker A: But five years! That's my life!\n[00:22 - 00:42] Speaker B: I know it's hard to accept, but you have to try to make the best of the situation. You'll be able to appeal the sentence, and if that doesn't work, maybe you can get parole after a few years. In the meantime, try to stay positive and focus on  how you can use this time to better yourself through education programs, vocational training, or even just maintaining your physical and mental health for when you're released.\n[00:42 - 00:45] Speaker A: It's just not fair. I didn't do anything wrong.\n[00:46 - 00:57] Speaker B: I know you feel that way, but the jury didn't see it that way. They found you guilty and now you have to pay the price. We can still look into other legal options while you're inside, but it's important to keep your head up.\n[00:57 - 00:59] Speaker A: This is such bullshit."
+  },
+  {
+    "key": "SODA_PROCESSED--train--258272",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--258272.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Sarah, have you ever been on a train before?\n[00:03 - 00:18] Speaker B: Yeah, I have. I went on a train ride with my family when I was little. It was really exciting because it was my first time experiencing something like that and I remember being completely mesmerized by the rhythmic sound of the tracks and the changing scenery outside the window.\n[00:09 - 00:16] Speaker A: Sorry to interrupt, but do you remember where you went? I'm curious if it was a long journey or just a short ride.\n[00:18 - 00:22] Speaker B: It was a short ride, just a day trip to a nearby town. But it was really fun.\n[00:23 - 00:31] Speaker A: It looks like it would be fun to travel by train. Do you think it would be interesting to see different places from the window of a moving train?\n[00:31 - 00:40] Speaker B: Yeah, I think it would be really cool to see different landscapes whizzing by as you travel. Plus, it would be more comfortable than flying or sitting in a cramped car for hours.\n[00:41 - 00:50] Speaker A: Driving for long distances, right? I totally agree. The idea of sitting back and watching the scenery without having to focus on the road sounds amazing.\n[00:51 - 00:58] Speaker B: Exactly, and you can move around more freely on a train too. I would love to travel by train one day. Maybe we can take a trip together sometime.\n[00:59 - 01:00] Speaker A: That sounds like fun!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--90368",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--90368.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Honey, I'm really tired. I've been working all day and it's already 7pm.\n[00:05 - 00:18] Speaker B: I can tell. You look exhausted. Why don't you go take a shower and then relax for a bit? I'll make us some dinner so you don't have to worry about it - maybe some pasta with that homemade sauce you love so much, and I can throw together a fresh salad too.\n[00:12 - 00:18] Speaker A: Sorry to interrupt, but I just remembered we might be out of groceries. Did you have a chance to go shopping today?\n[00:19 - 00:24] Speaker B: No, I didn't. But I can quickly run to the store while you shower. You really need to take a break.\n[00:24 - 00:28] Speaker A: Thanks, that sounds great. I could really use a break.\n[00:28 - 00:33] Speaker B: No problem. I know how hard you've been working lately. You deserve a little relaxation time.\n[00:34 - 00:40] Speaker A: Yeah, I've been feeling a bit burnt out lately. But I'm determined to make sure I finish this project on time.\n[00:41 - 00:45] Speaker B: I completely understand. But have you considered talking to your boss about your workload?\n[00:46 - 00:56] Speaker A: I haven't yet. But I think I might need to soon. I admire your dedication. But you need to take care of yourself too. You can't keep working like this forever.\n[00:56 - 00:59] Speaker B: I know. But for now, this is what I have to do.\n[00:59 - 01:06] Speaker A: Well, at least let me help you out as much as possible. I don't want you to feel like you're doing this all alone.\n[01:06 - 01:09] Speaker B: Thanks, honey. I appreciate that more than you know."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1168213",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1168213.wav",
+    "model_output": "[00:00 - 00:18] Speaker A: I swear to you, Jonelle, that I will always be loyal to you. I promise that I will never betray you and that I will always be there to support you through every hardship, celebrate your victories, and stand by your side even when the world seems against you, because that's what true love means to me.\n[00:07 - 00:08] Speaker B: What makes you say that?\n[00:19 - 00:25] Speaker A: Because I love you. You're the most important person in my life, and I would never do anything to hurt you.\n[00:26 - 00:30] Speaker B: But what if something happened? What if you had to choose between me and your career or family?\n[00:30 - 00:40] Speaker A: Jonelle, there would be no choice. I would always choose you. No matter what the circumstances were, I would never betray your trust or hurt you in any way.\n[00:40 - 00:47] Speaker B: I believe you. I know that you would never intentionally hurt me. But sometimes, even the best of intentions can go wrong.\n[00:47 - 00:56] Speaker A: I understand that. And if anything ever did happen, I would never blame you for it. I would always try to find a way to forgive you and make things right again.\n[00:57 - 00:59] Speaker B: Thank you, Kevonte. That means a lot to me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--834165",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--834165.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey Yoselin, can you come here for a sec?\n[00:03 - 00:04] Speaker B: What's up?\n[00:04 - 00:06] Speaker A: I need to talk to you about something.\n[00:06 - 00:07] Speaker B: What is it?\n[00:07 - 00:21] Speaker A: It's just that I've been asking you to do things or stop doing things and you never seem to take it seriously, which makes me feel a bit ignored and undervalued in our relationship, especially when it happens repeatedly over time.\n[00:13 - 00:18] Speaker B: Oh, I didn't realize that was happening. Can you give me an example so I can understand better?\n[00:21 - 00:27] Speaker A: Sure, like when I asked you to lower the volume last night. I felt like I wasn't being heard.\n[00:28 - 00:30] Speaker B: I'm sorry, I didn't realize I was doing that.\n[00:31 - 00:38] Speaker A: It's just frustrating because I feel like I'm not being respected in those moments, and it makes it harder to communicate.\n[00:38 - 00:42] Speaker B: I totally get it now. So, what can I do to make sure this doesn't happen again?\n[00:42 - 00:54] Speaker A: Maybe we can set up some ground rules or something. For example, if I ask you to do something, maybe you can try to do it right away or at least acknowledge that you heard me.\n[00:54 - 00:58] Speaker B: Yeah, that makes sense. I'll definitely try to do better with that from now on."
+  },
+  {
+    "key": "SODA_PROCESSED--train--32633",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--32633.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: I feel so lost, Sarah. I don't know where to go or what to do next with my life considering all the changes that have happened recently and how different everything feels compared to just six months ago.\n[00:04 - 00:08] Speaker B: What do you mean? Are you talking about your job, your relationships, or something else?\n[00:12 - 00:21] Speaker A: I just feel like I'm losing touch with everything that was once so familiar to me. My life is crumbling around me and I don't know how to pick up the pieces.\n[00:21 - 00:35] Speaker B: It sounds like you're feeling really overwhelmed right now. Maybe it would help if you took some time to figure out what's most important to you and what you  need to focus on first in order to create a solid foundation for moving forward with confidence and purpose.\n[00:35 - 00:42] Speaker A: You're right, I do need to figure that out. But what if I can't? What if I just can't find the answers?\n[00:42 - 00:53] Speaker B: It's okay to not have all the answers right away. Sometimes it takes time, and that's perfectly normal. Just remember that we're here for you and we love you no matter what decisions you make about your life."
+  },
+  {
+    "key": "SODA_PROCESSED--train--826028",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--826028.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Sarah. How are you doing?\n[00:02 - 00:04] Speaker B: I'm doing well, thank you. How about you?\n[00:05 - 00:21] Speaker A: You know, I'm feeling really good these days. I'm just grateful for everything I have and how far I've come. It feels like things are finally falling into place for me, like all the hard work is starting to pay off and I'm seeing positive results in both my personal and professional life.\n[00:15 - 00:22] Speaker B: That's wonderful to hear. Can I ask, was there a specific moment or event that made you realize things were starting to align?\n[00:22 - 00:36] Speaker A: It wasn't really one specific moment, but more of a gradual realization. I just woke up one day and knew I needed to make some changes. And once I started doing that, everything else followed suit. It's been really nice.\n[00:37 - 00:44] Speaker B: That makes sense. So, do you feel like you're content now? Or is there still more that you want to achieve, or are you just taking things as they come?\n[00:45 - 00:53] Speaker A: Actually, I think I'm finally content. I'm just focused on enjoying the journey, and whatever comes next will happen when it's supposed to.\n[00:53 - 00:56] Speaker B: That sounds amazing. I'm really happy for you!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--328835",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--328835.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: Hey Khali, I picked up your favorite frozen pizza on the way home from work. It's in the oven cooking now, so it'll be ready in about 15 minutes with that perfect golden crust and bubbling cheese that you love so much. I thought it would be a nice surprise after your long day.\n[00:07 - 00:13] Speaker B: Oh, wow! Thanks Maleena, you're the best! I can't wait to dig in. Did you get the one with extra cheese?\n[00:17 - 00:23] Speaker A: Yeah, no problem. I know how much you love pizza, so I made sure to grab the extra cheesy one.\n[00:24 - 00:31] Speaker B: Seriously, thank you so much. This means a lot to me. I was actually thinking about grabbing something on the way, but now I'm glad I didn't.\n[00:31 - 00:38] Speaker A: Don't mention it. I just wanted to do something nice for you since you've been working so hard lately.\n[00:38 - 00:47] Speaker B: Well, I appreciate it more than you know. I'm going to go take a quick shower and then I'll be right out to enjoy the pizza with you. I really need to unwind after today.\n[00:47 - 00:51] Speaker A: Oh, no rush! The pizza still needs a few more minutes anyway.\n[00:52 - 00:55] Speaker B: Perfect, that gives me just enough time. See you soon!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--583204",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--583204.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I can't believe you would just give up on me like that!\n[00:03 - 00:12] Speaker B: I'm not giving up on you, I'm just trying to understand what you mean by that statement because it seems like we're having completely different interpretations of the current situation between us.\n[00:06 - 00:11] Speaker A: You're not listening to me! I told you what I want, and you're just ignoring me!\n[00:12 - 00:19] Speaker B: An, please calm down. We can talk about this in a more constructive way, but I need you to help me understand where you're coming from.\n[00:19 - 00:24] Speaker A: No, I won't calm down! You're not listening to me and it's really frustrating!\n[00:24 - 00:28] Speaker B: Okay, okay. I'm sorry. Let's start again. What is it that you want?\n[00:29 - 00:32] Speaker A: I want you to listen to me and take me seriously!\n[00:32 - 00:36] Speaker B: Okay, I'm sorry. I'm listening. What do you want to tell me?\n[00:36 - 00:41] Speaker A: I don't know, it doesn't matter what I say, you're just going to ignore me anyway!\n[00:42 - 00:47] Speaker B: An, that's not fair. Tell me what's going on in your mind right now. I want to understand how you're feeling.\n[00:47 - 00:51] Speaker A: Fine! I'll just leave then, since you don't care about what I have to say!\n[00:52 - 00:55] Speaker B: An, wait! Let's not end this conversation like this."
+  },
+  {
+    "key": "SODA_PROCESSED--train--767328",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--767328.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Raylene! I'm glad I found you.\n[00:03 - 00:12] Speaker B: Hey, Kellee! I'm glad you found me too. What are you planning to do today because I've been feeling a bit bored and could really use some company for an adventure or just hanging out?\n[00:06 - 00:10] Speaker A: Sorry, quick question—do you have any plans for the rest of the day?\n[00:12 - 00:15] Speaker B: Not much. Just hanging out and looking for something to do. You?\n[00:16 - 00:27] Speaker A: Same here. But I'm always up for doing something if you have any  suggestions or ideas that could get us out of the house and maybe explore that new part of town we've been meaning to check out.\n[00:27 - 00:30] Speaker B: Actually, I was thinking we could go get some ice cream or something.\n[00:31 - 00:33] Speaker A: That sounds great! Let's go!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--338832",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--338832.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I really want to finish this so I don't waste any time.\n[00:03 - 00:15] Speaker B: Yeah, me too. I hate it when I have to spend extra time on something because I wasn't careful and then end up having to redo everything from scratch while dealing with the frustration of knowing it could have been avoided with more attention to detail initially.\n[00:08 - 00:17] Speaker A: Oh, I know exactly what you mean. That's why I'm being as careful and concise as possible in my actions. Hopefully, that'll help me finish sooner.\n[00:17 - 00:23] Speaker B: Right, but if you rush too much, you might miss something important. Are you sure you're not overlooking any details?\n[00:24 - 00:32] Speaker A: That's a good point. I'm trying to balance speed with accuracy, but this is tougher than it looks especially with the tight deadline we're working under.\n[00:32 - 00:37] Speaker B: I can imagine. Maybe a second pair of eyes would help? Let me know if you need any help.\n[00:37 - 00:42] Speaker A: I appreciate that. I might take you up on that offer. Thanks again."
+  },
+  {
+    "key": "SODA_PROCESSED--train--691830",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--691830.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hi.\n[00:01 - 00:02] Speaker B: Hi. Who are you?\n[00:02 - 00:06] Speaker A: I'm Dariela. I work in the building next door.\n[00:06 - 00:09] Speaker B: Nice to meet you, Dariela. I'm Arman.\n[00:09 - 00:15] Speaker A: I know who you are. I've seen you around the neighborhood and I've been wanting to talk to you for a while.\n[00:15 - 00:17] Speaker B: Oh, really? What about?\n[00:17 - 00:30] Speaker A: I don't know, just anything really. You seem like a nice person and I thought it would be nice to have a friendly chat and maybe grab a coffee sometime since we're neighbors and could potentially become good friends over time.\n[00:24 - 00:29] Speaker B: Sorry to interrupt, but have we met before at any neighborhood events? Your face seems familiar.\n[00:31 - 00:40] Speaker A: No, I don't think we've officially met. I just recognize you from around. As I was saying, I thought it would be nice to get to know you better.\n[00:40 - 00:46] Speaker B: That's very sweet of you. I appreciate your interest, but I'm not really looking to make any new friends right now.\n[00:46 - 00:55] Speaker A: That's okay, I understand. Maybe we could just talk for a little bit? I promise I won't take up too much of your time or make you uncomfortable.\n[00:56 - 01:00] Speaker B: Actually, I'm curious, what made you decide to approach me today specifically?\n[01:00 - 01:12] Speaker A: Well, I saw you sitting here alone and thought it was a good opportunity. I promise I won't  take up too much of your time because I genuinely respect your boundaries and just wanted to make a friendly connection.\n[01:12 - 01:14] Speaker B: All right, Dariela. Let's talk."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1083511",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1083511.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey dad. I found this letter you wrote to me.\n[00:03 - 00:13] Speaker B: Oh, that? Yeah, I meant to give that to you a while ago but I never got around to finding the right moment to hand it to you because I wasn't sure how you'd react to such personal thoughts from your old man.\n[00:07 - 00:11] Speaker A: It's really sweet. I had no idea you felt this way about me.\n[00:13 - 00:21] Speaker B: Of course I do! You're my son and I'm proud of you. No matter what you do in life, know that I will always be here to support you, through thick and thin.\n[00:22 - 00:31] Speaker A: Sorry to cut you off, Dad, but I just wanted to say—I feel the same way about you. I don't always say it, but I really appreciate everything you've done for me.\n[00:31 - 00:38] Speaker B: Thanks, son. That means a lot to me too. I just want you to be happy and successful. That's all any parent could ever want for their child."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1177869",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1177869.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey boss, what's up?\n[00:01 - 00:04] Speaker B: Not much, just getting some work done. What about you?\n[00:04 - 00:21] Speaker A: I'm just doing my job like always. I know I can always do better and I'm never satisfied with my current performance because I believe there's always room for growth in both technical skills and professional development. I always strive to improve and push myself further.\n[00:11 - 00:18] Speaker B: Sorry to jump in, but I wanted to ask—do you feel like there's something specific holding you back from reaching that next level?\n[00:21 - 00:30] Speaker A: Sometimes it feels like I could use more feedback to know exactly where I stand. But I just want to be the best I can be. That's all I can do.\n[00:30 - 00:33] Speaker B: We appreciate that attitude. Keep up the good work."
+  },
+  {
+    "key": "SODA_PROCESSED--train--104948",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--104948.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Cecelia. I need you to shut up for a minute, okay?\n[00:04 - 00:12] Speaker B: What? Why do you need me to stop talking all of a sudden when we were just having a normal conversation about our weekend plans and everything seemed fine until now?\n[00:06 - 00:11] Speaker A: Because I'm trying to concentrate and your chatter is making it hard for me to focus.\n[00:12 - 00:17] Speaker B: Oh, sorry. I didn't realize I was being so distracting. I'll be more mindful of that.\n[00:17 - 00:22] Speaker A: It's not just that you're being loud, it's also that you're saying really irrelevant things.\n[00:23 - 00:25] Speaker B: Irrelevant? Like what?\n[00:25 - 00:35] Speaker A: Like how hot it is today or how much traffic there is on the street. Just pointless stuff that doesn't help anyone. So can you please be quiet for a while?\n[00:35 - 00:37] Speaker B: Yeah, sure. No problem."
+  },
+  {
+    "key": "SODA_PROCESSED--train--605295",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--605295.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Mom. I got an 'A' on my project.\n[00:03 - 00:05] Speaker B: That's great, Jaivon! I'm so proud of you.\n[00:06 - 00:18] Speaker A: Thanks, Mom. It felt good to get that recognition after all the effort I put in, especially since I stayed up late several nights perfecting the details and making sure everything was just right.\n[00:08 - 00:14] Speaker B: Sorry to interrupt, but I have to ask, did you get any feedback from your teacher on what you did well?\n[00:18 - 00:27] Speaker A: Yeah, she said my research was thorough and my presentation was clear. I was worried I wasn't going to make it at first, but I'm glad I did.\n[00:27 - 00:33] Speaker B: I'm glad you pushed through. You worked so hard on it. I knew you could achieve something like this if you stayed focused.\n[00:34 - 00:39] Speaker A: Do you think I should keep this project for my portfolio? It might help me in the future.\n[00:39 - 00:47] Speaker B: Absolutely, it's a great example of your hard work. You're a smart kid, Jaivon. I'm sure you'll do great in whatever you set your mind to."
+  },
+  {
+    "key": "SODA_PROCESSED--train--985415",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--985415.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I'm sorry, Mama. I didn't mean to disappoint you.\n[00:03 - 00:17] Speaker B: It's not that you disappointed me, Casie. It's that I'm worried about the choices you're making and how they might affect your future, especially considering how hard we've worked to build a good reputation in this community and provide you with opportunities I never had growing up.\n[00:07 - 00:11] Speaker A: I understand, but I just want you to know that I'll try to do better next time.\n[00:18 - 00:24] Speaker B: Next time? There shouldn't be a next time. This is not who we are, Casie. We are not people who lose control like that.\n[00:25 - 00:38] Speaker A: But everyone makes mistakes, right? Isn't that what you've always  said about learning from our experiences and becoming better people through reflection and taking responsibility for our actions, even when it's difficult?\n[00:38 - 00:50] Speaker B: Yes, but this was more than just a mistake. This was dangerous and could have had serious consequences for you and for our family if anyone had found out about it. You're lucky that no one did or we would have been in a lot of trouble."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1031152",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1031152.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, thanks for coming to work out with me today!\n[00:03 - 00:09] Speaker B: No problem! I'm always happy to help you stay motivated. You've been working hard lately and it's really paying off.\n[00:09 - 00:25] Speaker A: Yeah, I feel like I'm getting stronger every day. Lifting weights has been a great workout for me and I'm really starting to see some real improvements in my endurance as well as noticeable muscle definition and better overall stamina during my workouts.\n[00:17 - 00:24] Speaker B: Speaking of lifting weights, have you thought about increasing your weight targets soon? It might be a good way to challenge yourself even more.\n[00:25 - 00:37] Speaker A: Definitely, I'm planning to gradually increase the weights. But I was also going to mention that I'm really enjoying it because it's not just about the physical strength, it's also helping me mentally.\n[00:37 - 00:43] Speaker B: That's great to hear! It sounds like you're really dedicated to your fitness goals. What are your plans for the future?\n[00:44 - 01:02] Speaker A: Well, I want to keep getting stronger and see how far I can take my lifting career. I'm also thinking about competing in some competitions down the line. Who knows, maybe even going  for a national title if everything goes well and I continue making consistent progress with my training regimen and nutrition plan.\n[01:02 - 01:09] Speaker B: Competitions? That sounds exciting! Have you started looking into specific ones, or are you still in the planning phase?\n[01:09 - 01:19] Speaker A: I'm still in the planning phase, but I've been researching a few local competitions to start with. Going pro is a long-term goal, but it's definitely on my mind."
+  },
+  {
+    "key": "SODA_PROCESSED--train--324306",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--324306.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Good morning! It's a beautiful day, isn't it?\n[00:02 - 00:12] Speaker B: Yes, it is. I can't believe how warm it is for this time of year. The temperature is nearly 10 degrees above average and the sunshine feels absolutely glorious on my skin.\n[00:05 - 00:12] Speaker A: Speaking of the warmth, do you think it might get too hot later? We might want to bring some water with us if we go for that walk.\n[00:13 - 00:18] Speaker B: That's a good point. I was just thinking that this might be the perfect day to go for a walk in the park.\n[00:18 - 00:24] Speaker A: That sounds like a great idea! I'm sure the flowers will be in bloom and the birds will be singing their hearts out.\n[00:25 - 00:30] Speaker B: Oh, and maybe we can stop by that little café on the way? I heard they have some new pastries.\n[00:31 - 00:36] Speaker A: That sounds lovely! And we can get some fresh air and exercise at the same time.\n[00:36 - 00:38] Speaker B: Sounds perfect to me. Let's go!\n[00:39 - 00:42] Speaker A: It's so nice to see kids enjoying themselves.\n[00:42 - 00:46] Speaker B: Yes, it is. It brings back memories of when we were young and carefree.\n[00:46 - 00:56] Speaker A: I know. Sometimes I wish I could go back to those days. But then I remember all the responsibilities I have now and I'm glad I'm an adult.\n[00:56 - 01:01] Speaker B: Me too. Being an adult comes with its own set of challenges, but it also has its rewards."
+  },
+  {
+    "key": "SODA_PROCESSED--train--241883",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--241883.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Mom. Thanks for coming to my graduation ceremony.\n[00:04 - 00:14] Speaker B: Of course, Aranza! I wouldn't miss it for the world. You've worked so hard to get to this point, and it's such a big achievement that deserves to be celebrated with all your loved ones who supported you along this journey.\n[00:07 - 00:16] Speaker A: Speaking of hard work, I was thinking about how much effort it took to get through those final exams. I couldn't have done it without your support.\n[00:16 - 00:23] Speaker B: That's sweet of you to say. Time really does fly. Pretty soon you'll be off to college and then out in the real world on your own.\n[00:23 - 00:31] Speaker A: That's true. But I'm not sure I'm ready for that big step just yet. There's so much to figure out.\n[00:31 - 00:39] Speaker B: Oh, honey, I get it. The transition can be overwhelming, but remember, you're not alone in this. You have your family and friends to lean on.\n[00:40 - 00:45] Speaker A: You're right, Mom. It's just a lot to take in. But hearing you say that makes me feel better.\n[00:46 - 00:53] Speaker B: Don't worry, you'll be fine. You're a smart and talented young man with a bright future ahead of you. I'm very proud of you, Aranza.\n[00:53 - 00:55] Speaker A: Thanks, Mom. That means a lot to me.\n[00:56 - 00:57] Speaker B: I love you, son."
+  },
+  {
+    "key": "SODA_PROCESSED--train--842885",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--842885.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: Wow, Mom, that's a really beautiful painting. I'm so happy you bought it. It makes the whole room look so much brighter and more vibrant, almost like the artist captured the essence of sunlight streaming through a stained glass window with their masterful use of color and texture.\n[00:06 - 00:13] Speaker B: Sorry to interrupt, but I just have to ask—where did you find it? I don't think I've seen anything like this around before.\n[00:17 - 00:22] Speaker A: I got it from a local art gallery. I thought it would be a nice addition to the living room.\n[00:22 - 00:27] Speaker B: It definitely is. I love the way the colors make the room feel so warm and inviting.\n[00:27 - 00:31] Speaker A: Yes, I agree. The artist did a really good job with that.\n[00:31 - 00:33] Speaker B: Do you know who the artist is?\n[00:33 - 00:38] Speaker A: No, I don't remember their name, but it's great to have something unique from a local gallery.\n[00:39 - 00:42] Speaker B: That's cool. I'm glad we have something like that nearby.\n[00:42 - 00:46] Speaker A: Me too. It's always nice to support local businesses."
+  },
+  {
+    "key": "SODA_PROCESSED--train--211161",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--211161.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, can I get a medium latte with two pumps of vanilla and one pump of caramel?\n[00:04 - 00:07] Speaker B: Sure thing! That'll be $4.50.\n[00:07 - 00:08] Speaker A: Here you go.\n[00:08 - 00:10] Speaker B: Thanks! So, how's your day going?\n[00:11 - 00:26] Speaker A: It's going good. I just got out of my last class and I'm getting coffee before I head to meet up with a friend to study for an exam that's coming up next week. We're planning to go over some key concepts and practice problems together at the library.\n[00:16 - 00:21] Speaker B: Oh, what class did you just finish? Was it something related to your internship at the law firm?\n[00:26 - 00:40] Speaker A: Actually, it was. It was a class on contract law, which ties in nicely with my work. I'm an intern at a law firm, and it's really cool, but it's a lot of work. But I'm learning a lot and it's a great experience.\n[00:40 - 00:45] Speaker B: Wow, that sounds like an amazing opportunity! How long have you been interning there for?\n[00:45 - 00:48] Speaker A: I've been interning there for about two months now.\n[00:49 - 00:51] Speaker B: That's great! I'm sure you're learning a lot.\n[00:52 - 00:55] Speaker A: Yeah, I am. It's a lot of work, but it's worth it.\n[00:56 - 00:59] Speaker B: Well, I hope you have a great day! Thanks for coming in!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--775640",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--775640.wav",
+    "model_output": "[00:00 - 00:17] Speaker A: I can't breathe. I feel like I'm going to suffocate. *takes a deep breath* Why can't I just relax? *sighs* Maybe a walk will help clear my mind and give me some space to think things through properly without all these distractions and negative thoughts clouding my judgment.\n[00:10 - 00:16] Speaker B: Sorry to interrupt, but are you sure going out alone is a good idea? You know how easy it is to get lost around here.\n[00:18 - 00:33] Speaker A: I know, but I just needed some time to think. I'm tired of feeling like this all the time. I can't keep living like  this, constantly overwhelmed by my thoughts and emotions that seem to spiral out of control no matter how hard I try to manage them.\n[00:34 - 00:39] Speaker B: I get it, but what are you going to do? You can't just give up on everything. You have to keep fighting."
+  },
+  {
+    "key": "SODA_PROCESSED--train--679971",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--679971.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey boss, can I talk to you for a second?\n[00:02 - 00:04] Speaker B: Sure thing, Stanley. What's up?\n[00:05 - 00:21] Speaker A: I was hoping you could give me a raise. I've been working here for a while and I think I deserve recognition for the extra responsibilities I've taken on lately, including training new employees and managing two major projects that have significantly contributed to our department's success.\n[00:10 - 00:21] Speaker B: Stanley, you're a great employee and I appreciate all your hard work. However, we're currently experiencing financial difficulties and cannot afford to give raises at this time. I'm sorry.\n[00:22 - 00:40] Speaker A: Boss, with all due respect, I think that's BS and I deserve more  than just a pat on the back. I've been putting in extra hours and taking on tasks that aren't even part of my job description, consistently going above and beyond what's expected of me while maintaining excellent performance metrics.\n[00:40 - 00:50] Speaker B: Stanley, watch your tone with me. I understand that you're upset but speaking to me like that is not going to get you what you want. Now if you'll excuse me, I have other matters to attend to.\n[00:51 - 00:54] Speaker A: That's it? You're just going to dismiss me like that?\n[00:55 - 00:58] Speaker B: Stanley, I'm sorry. There's nothing more I can do.\n[00:59 - 00:59] Speaker A: Fine."
+  },
+  {
+    "key": "SODA_PROCESSED--train--520823",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--520823.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: I can't believe they didn't give me the promotion. I really thought I had it in the bag this time after all the extra projects I took on and the positive feedback I received during my last performance review.\n[00:04 - 00:07] Speaker B: What happened? Did they say why they chose someone else?\n[00:12 - 00:24] Speaker A: My boss called me into his office this morning and told me that they had decided to give the job to someone else. He said that although I was a strong candidate, the other person just had a little more experience.\n[00:25 - 00:34] Speaker B: Katie, I'm so sorry. That must have been really tough to  hear, especially after putting in so much effort and going above and beyond what was expected of you in your current role.\n[00:34 - 00:44] Speaker A: Yeah, it was. I've been working at this company for years and I thought I deserved that promotion. Now I feel like all my hard work has gone to waste.\n[00:44 - 00:52] Speaker B: You haven't wasted your hard work. Just because you didn't get this one job doesn't mean your career is over. You're still a valuable employee with a lot to offer.\n[00:53 - 00:59] Speaker A: I know you're right. But it's just hard to see the silver lining when I'm feeling so down about it.\n[00:59 - 01:06] Speaker B: I completely understand. It sounds like you really need some time to process what happened and figure out your next steps.\n[01:06 - 01:12] Speaker A: Yeah, I think you're right. Thanks for listening, Carnell. It really helps to talk to someone about it.\n[01:13 - 01:15] Speaker B: Of course, Katie. That's what friends are for."
+  },
+  {
+    "key": "SODA_PROCESSED--train--532510",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--532510.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, Tal. I'm Luz.\n[00:02 - 00:04] Speaker B: Hey there, Luz. It's nice to meet you.\n[00:04 - 00:14] Speaker A: I know, right? I'm excited to meet you too. You look really stylish today with that perfectly tailored jacket and those shoes that complement your whole outfit so well.\n[00:08 - 00:12] Speaker B: Sorry to interrupt, Luz. I just wanted to ask, how did you hear about this event?\n[00:15 - 00:19] Speaker A: Oh, a friend told me about it. But as I was saying, you look great.\n[00:19 - 00:20] Speaker B: Thanks! So do you.\n[00:21 - 00:23] Speaker A: Your voice is really nice too.\n[00:23 - 00:26] Speaker B: Aw, thank you, Luz. You have a pretty voice yourself.\n[00:26 - 00:36] Speaker A: And you smell amazing! What cologne are you  wearing? It has such a nice scent that reminds me of ocean breezes mixed with subtle woody undertones.\n[00:36 - 00:42] Speaker B: Oh, I just have to say, you have a great sense of smell! It's called Cool Water by Davidoff.\n[00:42 - 00:46] Speaker A: I love it! It's so refreshing and masculine at the same time.\n[00:47 - 00:48] Speaker B: Thanks, I'm glad you like it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--571406",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--571406.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Thank you so much for the advice, I really appreciate it.\n[00:03 - 00:16] Speaker B: You're welcome, Lucca. Like I said, I think studying more outside of class will really help you to understand the concepts that we've been covering in class, especially when you dedicate focused time to practice problems and review your notes thoroughly.\n[00:10 - 00:17] Speaker A: Yeah, I'm definitely going to do that. I just need to figure out which concepts I'm struggling with the most.\n[00:17 - 00:23] Speaker B: Well, why don't we take a look at your grades from the past few tests and see which areas you need to focus on more.\n[00:23 - 00:28] Speaker A: Oh, you mean like going over the specific topics where I didn't do well?\n[00:29 - 00:37] Speaker B: Exactly. That way, we can focus on the areas you need to improve the most. Alright, let's take a look... it looks like you're having trouble with multiplication and division.\n[00:38 - 00:40] Speaker A: Yeah, I've always struggled with math.\n[00:41 - 00:47] Speaker B: Well, don't worry, we'll help you get through it. Just remember to study more outside of class and you should be fine.\n[00:47 - 00:49] Speaker A: Thanks again for the help."
+  },
+  {
+    "key": "SODA_PROCESSED--train--387024",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--387024.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Stop following me around!\n[00:02 - 00:12] Speaker B: I'm not following you around, you're just always in front of me when I try to go somewhere, like when I'm heading to class or just walking to the store, it's not my fault our paths keep crossing.\n[00:05 - 00:08] Speaker A: Stop making excuses! Just stay away from me!\n[00:12 - 00:16] Speaker B: But you keep moving around, and I can't help it if you're always in front of me!\n[00:16 - 00:18] Speaker A: Then I'll just stop moving!\n[00:18 - 00:25] Speaker B: But then we'll both be stuck here  and neither of us will get where we need to go, which would be even more frustrating for both of us in the long run.\n[00:25 - 00:30] Speaker A: Wait, I have an idea. I'll go first, and you wait until I'm out of sight.\n[00:30 - 00:32] Speaker B: Fine, that works for me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1050427",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1050427.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey girl, how are you doing today?\n[00:02 - 00:13] Speaker B: I'm good, Patryk. I'm just excited to play fetch with you like we always do, especially when we get to run around in the sunshine and enjoy each other's company while getting some great exercise together.\n[00:06 - 00:13] Speaker A: Oh, speaking of fetch, do you think we should try that new park down the street? I heard it's got a lot of open space.\n[00:14 - 00:20] Speaker B: That sounds fun! I was going to say, I'm always excited to play fetch with you because you're so enthusiastic and make the game so fun.\n[00:21 - 00:36] Speaker A: Well, I love playing with you too because you're such a good listener and you always seem to know exactly what I'm thinking. Sometimes it feels like we can communicate without even needing to say a word, just through our actions and gestures.\n[00:36 - 00:41] Speaker B: Without even speaking, right? It's like we have our own little language that only we understand.\n[00:42 - 00:47] Speaker A: Exactly! I think that's what makes our friendship so special. We just get each other, you know?\n[00:48 - 00:55] Speaker B: Yeah, I know. And I'm always so happy to see you. You always make me feel loved and appreciated, and I cherish that about our friendship.\n[00:55 - 01:02] Speaker A: Aw, thanks girl. I feel the same way about you. I'm really lucky to have you in my life."
+  },
+  {
+    "key": "SODA_PROCESSED--train--805432",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--805432.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Anamarie, I can't believe you would do this to me.\n[00:03 - 00:07] Speaker B: What? Cheat on you? You're not exactly the perfect boyfriend yourself, Abrahan.\n[00:08 - 00:19] Speaker A: That's not the point and you know it! How could you do this to me? To our relationship that we've built together over the years with all the sacrifices and love we've shared through good times and bad?\n[00:13 - 00:20] Speaker B: Abrahan, I know you're hurt, but can we at least talk about what went wrong between us? Maybe we can figure out why this happened.\n[00:21 - 00:26] Speaker A: I don't know. It just happened. I'm sorry, Abrahan. I really am.\n[00:26 - 00:33] Speaker B: Sorry doesn't cut it, Anamarie. I trusted you and you betrayed me. I don't think we can ever get past this pain and rebuild what we had.\n[00:34 - 00:40] Speaker A: I understand you're angry, but can we at least try? I love you, Abrahan. I don't want to lose you.\n[00:41 - 00:49] Speaker B: I don't know, Anamarie. I need some time to think about  this situation and process everything that's happened between us before I can make any decisions about our future together."
+  },
+  {
+    "key": "SODA_PROCESSED--train--399572",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--399572.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, how are you doing today?\n[00:02 - 00:11] Speaker B: I'm doing alright. Just a little overwhelmed with everything going on lately between work deadlines, family commitments, and trying to find some personal time for myself.\n[00:04 - 00:08] Speaker A: Tired? Yeah, I can imagine. You've been working hard lately.\n[00:11 - 00:14] Speaker B: Yeah, I have. But it's all worth it in the end.\n[00:15 - 00:19] Speaker A: Absolutely. So, what do you have planned for today?\n[00:19 - 00:30] Speaker B: Well, I was thinking about going to the park with the kids. Then maybe getting some groceries  if I have enough time after the park visit, though we might need to make it a quick trip since the kids have soccer practice later this afternoon.\n[00:31 - 00:36] Speaker A: Oh, do you need any help with the groceries? I could pick up a few things on my way home.\n[00:37 - 00:39] Speaker B: That would be great! Thanks, Zamir.\n[00:40 - 00:42] Speaker A: No problem, Sarah. I love you.\n[00:42 - 00:44] Speaker B: I love you too, Zamir."
+  },
+  {
+    "key": "SODA_PROCESSED--train--476626",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--476626.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Ahaan. I'm glad we ran into each other.\n[00:04 - 00:05] Speaker B: Yeah, me too. What's up?\n[00:06 - 00:08] Speaker A: I've been thinking about my mom a lot lately.\n[00:09 - 00:10] Speaker B: Really? Why?\n[00:10 - 00:15] Speaker A: I don't know. I guess I just miss her and wish I saw her more often.\n[00:15 - 00:18] Speaker B: That makes sense. I feel the same way about my mom sometimes.\n[00:19 - 00:24] Speaker A: Yeah, it's just...I don't know, hard to put into words how much I miss her.\n[00:25 - 00:28] Speaker B: Do you think there's something specific that's triggered these feelings recently?\n[00:29 - 00:48] Speaker A: I hadn't thought about that. Maybe it's because I saw some old photos. Anyway, it's like you want to talk to her about things, but you're not sure if she'll understand or even be interested in what you have to say because sometimes parents have different perspectives that make communication challenging despite our best efforts.\n[00:40 - 00:45] Speaker B: Or even care, right? It's tough when you feel that way about someone so important in your life.\n[00:49 - 00:55] Speaker A: Exactly! That's exactly it! Thank you for understanding, Ahaan. It means a lot to me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--805520",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--805520.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: Sarah, I can't believe we're finally in Japan! I've been wanting to come here for years and now that we're actually standing here in Tokyo, it feels like all my childhood dreams about visiting this incredible country are finally coming true in the most spectacular way possible.\n[00:08 - 00:13] Speaker B: I know, me too! It's so beautiful here. Everything is so different from what we're used to back home.\n[00:16 - 00:29] Speaker A: Right? The architecture, the people—everything has its own charm. Just being here makes me feel like a better person already. I feel like I can learn so much about a new culture and gain some much-needed perspective.\n[00:30 - 00:45] Speaker B: I completely agree. There's something about being in a foreign country that just makes you see things differently. Maybe it's because you're not as familiar with your surroundings, but either way, it definitely gives you a new perspective on what really matters in life and how we approach our daily routines.\n[00:45 - 01:01] Speaker A: Speaking of perspective, I can't wait to visit some temples and historical sites. I feel like those will really open my eyes to  the spiritual side of Japan and help me understand the deep philosophical traditions that have shaped this society for centuries.\n[01:02 - 01:09] Speaker B: Absolutely. Japan is such a rich culture with so much to offer. I think you'll definitely come back a changed woman after spending some time here."
+  },
+  {
+    "key": "SODA_PROCESSED--train--584031",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--584031.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: Honey, I was just thinking about when I was a kid and how things have changed since then. Do you ever feel like we've lost some of the simplicity that used to make life feel more genuine and meaningful, back when people actually took time to have real conversations instead of just texting all the time?\n[00:06 - 00:15] Speaker B: Sorry, I just remembered something. Do you think our kids are going to feel the same way when they grow up? Like, will they look back and feel like their world has changed just as much?\n[00:17 - 00:29] Speaker A: That's a good point. I think they might, especially with how fast technology is evolving. But what I was going to say earlier is that it's hard to keep up with everything that's going on nowadays, just like you mentioned.\n[00:29 - 00:37] Speaker B: Yeah, it definitely is. I feel like we've lost touch with some of the things that are important in life because we're always trying to keep up with everything else.\n[00:38 - 00:50] Speaker A: I know what you mean. We used to have more time to just relax and enjoy life, but now it feels like we're always running around and there's never enough time to just sit down and connect with each other.\n[00:50 - 00:58] Speaker B: Speaking of time, do you think we should try to schedule some downtime this weekend? Just to unwind and maybe recapture a bit of that feeling?\n[00:58 - 01:05] Speaker A: That's a great idea. We definitely need to take a break and appreciate the little things in life, just like we used to."
+  },
+  {
+    "key": "SODA_PROCESSED--train--120698",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--120698.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hi! How are you today?\n[00:02 - 00:04] Speaker B: I'm doing well, thank you. Yourself?\n[00:04 - 00:08] Speaker A: I'm great, thanks for asking. So, what brings you in today?\n[00:09 - 00:18] Speaker B: I'm just really stressed out and need to unwind and clear my mind after dealing with constant pressure at work and not having enough time for self-care activities.\n[00:11 - 00:16] Speaker A: Sorry to interrupt, but is there something specific that's been causing your stress lately?\n[00:18 - 00:24] Speaker B: It's mainly work-related deadlines and personal commitments piling up. I just need to relax.\n[00:24 - 00:32] Speaker A: That's perfectly understandable. Massage is a great way to help with that. Let me show you to your room and we'll get started.\n[00:32 - 00:34] Speaker B: That feels really good. Thank you.\n[00:35 - 00:47] Speaker A: You're welcome. Just try to relax and let me do the  massage techniques that will help alleviate your tension and improve circulation throughout your entire body while targeting specific pressure points.\n[00:47 - 00:52] Speaker B: Actually, I was wondering if you could focus a bit more on my shoulders. They've been particularly tense.\n[00:52 - 00:55] Speaker A: Of course, I'll pay extra attention to your shoulders."
+  },
+  {
+    "key": "SODA_PROCESSED--train--488132",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--488132.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, I'm so glad you could have me over!\n[00:03 - 00:05] Speaker B: Yeah, no problem. So, how've you been?\n[00:05 - 00:19] Speaker A: I've been good. I just turned off the heat before I left, so hopefully the house won't be too cold when I get back since I also made sure to close all the windows and double-check the thermostat settings before heading out.\n[00:11 - 00:16] Speaker B: Oh, speaking of your house, did you ever get that leak fixed? You mentioned it last time.\n[00:19 - 00:24] Speaker A: Yes, I did! It was a bit of a hassle, but it's all sorted now.\n[00:24 - 00:26] Speaker B: That's really responsible of you.\n[00:26 - 00:32] Speaker A: Yeah, I try to be. My mom always says that it's better to be safe than sorry.\n[00:33 - 00:34] Speaker B: That's a good motto to live by."
+  },
+  {
+    "key": "SODA_PROCESSED--train--413649",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--413649.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: So, Richard, tell me about your dream of becoming a knight.\n[00:03 - 00:22] Speaker B: Well, it all started when I was just a little boy. I would watch the knights riding by and I would imagine myself in their armor, fighting bravely for my lord. From then on, I just knew that's what I wanted to dedicate my life to, no matter the challenges I would face, because the honor and chivalry of knighthood represent the highest ideals one can aspire to in our society.\n[00:14 - 00:21] Speaker A: Sorry to cut in, but I'm curious—did your family support your dream of becoming a knight from the start?\n[00:22 - 00:31] Speaker B: My family was hesitant at first, especially because it's a dangerous path, but they eventually came around when they saw how determined I was. And so, I became a squire.\n[00:31 - 00:39] Speaker A: Yes, Lord Robert took you under his wing and taught you everything he knows about being a knight. That must have been quite an experience.\n[00:39 - 00:43] Speaker B: It was hard work, but it was worth it. And now, I'm a knight myself.\n[00:43 - 00:45] Speaker A: That's amazing. Congratulations!\n[00:45 - 00:47] Speaker B: Thank you! It's been my dream come true.\n[00:48 - 00:52] Speaker A: What advice would you give to other young boys who have a dream like you did?\n[00:52 - 00:59] Speaker B: I would tell them to never give up on their dreams and to always strive to be their best selves, because that's what will truly set them apart.\n[01:00 - 01:04] Speaker A: Do you think it's more important to focus on physical training or mental preparation?\n[01:05 - 01:21] Speaker B: Both are crucial, but mental preparation is often overlooked. Staying strong in your convictions is key. As I was saying, if they work hard and maintain"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1052554",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1052554.wav",
+    "model_output": "[00:00 - 00:18] Speaker A: I've been applying to a lot of jobs, but I'm not getting hired. I'm told my experience isn't good enough to meet the requirements of most positions I'm interested in, particularly in competitive fields where employers expect candidates to have specialized skills and extensive professional backgrounds.\n[00:07 - 00:11] Speaker B: It sounds like you're considering going back to school to get a degree. Is that right?\n[00:19 - 00:29] Speaker A: Yes, I was thinking about it. But I'm not sure if it's worth it. I don't want to spend a lot of money on tuition and then still not be able to get a job afterward.\n[00:29 - 00:44] Speaker B: Getting a degree can definitely help improve your chances of getting hired, especially if you're aiming for jobs that require one. But it's important to consider the cost-benefit analysis before making any decisions. How much would tuition be? And how long would it take you to complete the degree?\n[00:45 - 00:54] Speaker A: Tuition would be about $30,000 per year. And it would take me four years to finish the program, which means I'd be investing a lot of time and money.\n[00:55 - 01:02] Speaker B: Wow, that's a significant investment. But have you looked into any scholarships or financial aid options that might help reduce the cost?\n[01:03 - 01:18] Speaker A: Not yet, but that's a good point. I should definitely explore those options  before making any decisions, including researching grants, work-study programs, and employer-sponsored education benefits that could potentially offset some of the financial burden."
+  },
+  {
+    "key": "SODA_PROCESSED--train--932576",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--932576.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, what's up? You seem like you've got something on your mind.\n[00:04 - 00:18] Speaker B: Yeah, I do. I was just thinking about how our lives have changed so much in the last few years. It's been hard to keep track of everything that's happened and adjust to all the new realities we face while still maintaining some sense of normalcy and personal identity.\n[00:11 - 00:24] Speaker A: Up with everything? I totally get that. It feels like everything is moving so fast and we're just trying to keep up. But it's good to have somebody to rely on, isn't it? Somebody who understands what you're going through?\n[00:24 - 00:28] Speaker B: Yeah, definitely. I'm glad we can rely on each other.\n[00:28 - 00:31] Speaker A: So what's been on your mind lately? Anything in particular?\n[00:32 - 00:40] Speaker B: Just life in general, I guess. Trying to figure out where I fit in and what I'm supposed to be aiming for, especially with all the changes happening around us.\n[00:41 - 00:50] Speaker A: Be doing with all this pressure? I know how that feels. But I think we're doing alright, don't you? We're managing to keep our heads above water, at least.\n[00:51 - 00:53] Speaker B: Yeah, I guess so. That's something, at least."
+  },
+  {
+    "key": "SODA_PROCESSED--train--486837",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--486837.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I promise I won't hurt you. I just want to be friends.\n[00:03 - 00:05] Speaker B: Why? What's wrong with me?\n[00:05 - 00:10] Speaker A: There's nothing wrong with you, Analeigh. I just don't want to hurt you.\n[00:11 - 00:14] Speaker B: But why would you hurt me? We're friends, right?\n[00:14 - 00:31] Speaker A: Yes, we're friends. But sometimes people do things that they don't mean to their friends and they end up getting hurt. And I don't want that to happen between us because I value our friendship too much and want to make sure we're both being considerate of each other's feelings at all times.\n[00:23 - 00:28] Speaker B: Wait, are you saying you've been hurt before by a friend? Is that why you're worried?\n[00:31 - 00:49] Speaker A: Yes, that's part of it. But I also think we need to be mindful of how we treat each other. I haven't mentioned  the specific incident from my past that caused me so much pain, but it fundamentally changed how I approach all my relationships now, especially close friendships like ours.\n[00:49 - 00:57] Speaker B: Mindful, yes, absolutely. But I just want to know, do you trust me enough to believe that I would never intentionally hurt you?\n[00:57 - 01:05] Speaker A: I do trust you, Analeigh. I just think it's important to talk about these things openly. So let's be careful with each other then, okay?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--220023",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--220023.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, can I talk to you for a second?\n[00:03 - 00:04] Speaker B: Yeah, what's up?\n[00:04 - 00:19] Speaker A: I just wanted to talk about what happened today. I feel like I could have handled the situation better if I had taken a step back and thought about it more calmly, perhaps by acknowledging their concerns first before jumping into explanations.\n[00:09 - 00:13] Speaker B: What situation are you referring to? Was it something with a client?\n[00:19 - 00:32] Speaker A: Yeah, I was talking to one of the clients and he started getting angry. I tried to diffuse the situation, but it didn't work and he ended up storming out of the room before I could fully explain our side of the issue.\n[00:33 - 00:37] Speaker B: Did he mention why he was upset? Maybe there was a specific issue we need to address.\n[00:38 - 00:43] Speaker A: He was frustrated about a delay in the project, which I tried to explain, but he wasn't having it.\n[00:44 - 00:55] Speaker B: Hmm. Well, it sounds like you did the best you could in a difficult situation. But next time, try not to engage with the client when they're getting angry. Just stay calm and let them vent until they calm down.\n[00:56 - 01:01] Speaker A: Alright, that makes sense. I'll definitely try that next time. Thanks for the advice."
+  },
+  {
+    "key": "SODA_PROCESSED--train--744708",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--744708.wav",
+    "model_output": "[00:00 - 00:15] Speaker A: I'm sorry that I haven't been managing my time as well as I should. I know it's something that I need to work on to be more productive and efficient in my tasks by setting clear goals, tracking my progress, and adjusting my approach based on what works best for my workflow.\n[00:06 - 00:13] Speaker B: It's not just about managing your time, Rosalie. It's about being more efficient with the time you have. Let me give you some specific examples.\n[00:16 - 00:23] Speaker A: OK, boss. Give me some specific examples of how I can improve my time management skills.\n[00:23 - 00:36] Speaker B: Rosalie, you need to learn to prioritize your tasks and work on the most important ones first. Secondly, you need to take breaks when you feel overwhelmed or when you find yourself losing focus, so you can come back to your tasks with a fresh perspective.\n[00:37 - 00:45] Speaker A: Sorry to interrupt, but when you say \"prioritize,\" do you mean I should make a daily list or is there another method you recommend?\n[00:46 - 01:02] Speaker B: A daily list is a great start, but also consider categorizing tasks by urgency and importance. As I was saying, you should take breaks when you feel overwhelmed or  stressed instead of working through those feelings, as this will actually improve your overall productivity and help you maintain better mental clarity throughout your workday.\n[01:03 - 01:09] Speaker A: No, I think I understand. I'm sorry for not managing my time better. I'll do my best to improve.\n[01:09 - 01:13] Speaker B: I know you will, Rosalie. Just take it one day at a time and you'll get the hang of it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--640494",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--640494.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Sarah. What's up?\n[00:02 - 00:04] Speaker B: Not much. Just hanging out at home.\n[00:05 - 00:18] Speaker A: That sounds nice. I wish I could relax like that, but I've been feeling really stressed lately because of all the deadlines at work and personal commitments that just keep piling up without any relief in sight.\n[00:10 - 00:15] Speaker B: Yeah, I can imagine. What's been on your mind lately? Is it work or something else?\n[00:19 - 00:30] Speaker A: Sorry, I just needed to get this off my chest—it's everything. My job, my family, my relationships. Everything feels like it's piling up and I can't keep up.\n[00:30 - 00:34] Speaker B: That does sound really tough. I'm here for you, though. What can I do to help?\n[00:34 - 00:39] Speaker A: Just talking to you is helping already. Thank you for being here for me.\n[00:39 - 00:45] Speaker B: Of course, anytime. And hey, if you ever need to vent or just need a distraction, you know where to find me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--942720",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--942720.wav",
+    "model_output": "[00:00 - 00:21] Speaker A: I don't know why I do it, Mom. I just feel so empty all the time and this is the only way I can feel anything. The pain is a way to punish myself for my mistakes and to feel alive. I know it's not healthy but I can't seem to stop myself from falling into this cycle of self-destructive behavior even though deep down I know I deserve better and want to change.\n[00:14 - 00:22] Speaker B: Sweetie, I understand that it feels overwhelming, but have you thought about talking to someone professionally? Maybe they could help you find a healthier way to cope with these feelings.\n[00:23 - 00:36] Speaker A: I know you say that, but I don't feel it. It feels like everything I do is wrong and that I'm just a\n[00:37 - 00:42] Speaker B: You're not a disappointment, Hayley. We love you no matter what, and we will help you through this, I promise."
+  },
+  {
+    "key": "SODA_PROCESSED--train--315768",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--315768.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: I'm sorry for what I did. I didn't mean to steal from you, I was just desperate.\n[00:06 - 00:17] Speaker B: Why were you desperate? What's going on in your life that made you think you had no other options but to resort to stealing when there are community resources and support systems available that could have helped you through this difficult time?\n[00:09 - 00:19] Speaker A: I just... it's been really hard. My family's going through some tough times, and I've been trying to help out as much as I can. But we're barely getting by as it is.\n[00:19 - 00:26] Speaker B: That's tough. I know how it feels to be struggling like that. But stealing is never the answer. It only makes things worse.\n[00:26 - 00:34] Speaker A: I know that now. And I'm sorry for what I did. It won't happen again, I promise I'll find another way to help my family.\n[00:34 - 00:41] Speaker B: I need to make sure you understand how serious this is. If it happens again, you'll be banned from the store permanently. Understand?\n[00:42 - 00:46] Speaker A: Yes, sir. Thank you for understanding and giving me another chance."
+  },
+  {
+    "key": "SODA_PROCESSED--train--986089",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--986089.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, Mom. I'm so glad you're here.\n[00:03 - 00:05] Speaker B: Of course I am, darling. Where else would I be?\n[00:06 - 00:14] Speaker A: I don't know, I just feel relieved and happy to have you in my life. It feels like a weight has been lifted off my shoulders.\n[00:14 - 00:22] Speaker B: Well, that's because it has been lifted off slowly ever since you started talking about your feelings and opening up about everything that's been weighing on your heart for all these years.\n[00:16 - 00:17] Speaker A: What do you mean?\n[00:23 - 00:30] Speaker B: You've been carrying around a lot of guilt and pain for not being able to save me from cancer, but it wasn't your fault. You were just a child.\n[00:30 - 00:33] Speaker A: I know that, but it doesn't make it any easier.\n[00:33 - 00:41] Speaker B: I know, sweetheart. But try to remember that I'm here now and I'm not going anywhere. I'll always be with you in spirit, even if you can't see me.\n[00:41 - 00:45] Speaker A: I just want to make sure I don't lose you again, Mom.\n[00:45 - 00:48] Speaker B: You won't, darling. I'm always with you, no matter what.\n[00:48 - 00:49] Speaker A: Ok, Mom. I'll try."
+  },
+  {
+    "key": "SODA_PROCESSED--train--596349",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--596349.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey Joe, what's up?\n[00:01 - 00:04] Speaker B: Not much, just hanging out. What about you?\n[00:04 - 00:17] Speaker A: I was just doing some work when I suddenly got the feeling that someone was watching me. It's really unsettling, you know? Like that spine-tingling sensation you get when you know you're not alone even though you can't see anyone around.\n[00:10 - 00:14] Speaker B: Sorry to interrupt, but do you think it could have been a neighbor or someone passing by your window?\n[00:18 - 00:36] Speaker A: No, I didn't see anyone. But I could definitely feel someone's presence. It was really creepy and made me wonder if I should check my security cameras  to see if there's anything unusual recorded from the past few days or maybe even install some motion-activated lights around the property.\n[00:36 - 00:40] Speaker B: Security cameras are a good idea. Do you have any installed already?\n[00:40 - 00:45] Speaker A: Not yet, but I'm considering it now. Well, it could have just been my imagination.\n[00:46 - 00:49] Speaker B: Yeah, maybe you're right. But it's better to be safe than sorry."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1171436",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1171436.wav",
+    "model_output": "[00:00 - 00:17] Speaker A: I'm just trying to help people, you know? I see so many people my age struggling, and I feel like I have something to offer them, whether it's advice, support, or just being there to listen. Sometimes all someone needs is a kind word or a different perspective to help them through tough times.\n[00:07 - 00:14] Speaker B: Sorry, but I couldn't help but wonder—when you say \"struggling,\" are you talking about financial struggles, mental health, or something else?\n[00:18 - 00:24] Speaker A: It's a mix of both, really. People are dealing with so much, and I feel like I can make a difference.\n[00:25 - 00:29] Speaker B: That's really admirable, Trista. But don't you think you could be doing more with your life?\n[00:29 - 00:31] Speaker A: What do you mean?\n[00:31 - 00:43] Speaker B: Well, you're a smart guy. You could be making a lot more money if you went into a different  field, like tech or finance, where your skills could really shine and you'd have the financial freedom to support even larger charitable initiatives.\n[00:43 - 00:48] Speaker A: Jerry, I get where you're coming from, but to me, money isn't everything.\n[00:48 - 00:56] Speaker B: I know that. But it is important. And you could be helping more people if you had more resources at your disposal. Just think about it, okay?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--718092",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--718092.wav",
+    "model_output": "[00:00 - 00:10] Speaker A: I can't believe you would say something like that to me, Shamari. I thought we were closer than that, and it really caught me off guard because I genuinely trusted you with my deepest thoughts and feelings.\n[00:04 - 00:08] Speaker B: What? I was just joking around. I didn't mean to hurt your feelings.\n[00:11 - 00:20] Speaker A: Well, you did. And now I'm going to get  back at you somehow, just to even things out and teach you a lesson about being more considerate of others' emotions.\n[00:21 - 00:26] Speaker B: Wait, before you say anything, I really want to apologize. I didn't realize it would affect you like this.\n[00:26 - 00:31] Speaker A: I appreciate the apology, but I'm still going to put a spider in your bed.\n[00:31 - 00:35] Speaker B: Ahhh! No, please don't do that! I'm deathly afraid of spiders!\n[00:36 - 00:40] Speaker A: Too bad. You shouldn't have hurt my feelings. Now you're going to suffer.\n[00:40 - 00:45] Speaker B: Eddie, please don't do this! I'm sorry, okay? Just please don't put a spider in my bed!\n[00:46 - 00:53] Speaker A: Fine. I won't put a spider in your bed. But only because I'm feeling generous today. Consider yourself lucky."
+  },
+  {
+    "key": "SODA_PROCESSED--train--682132",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--682132.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, can I help you with something?\n[00:02 - 00:05] Speaker B: Yeah, I'm looking for the new iPhone.\n[00:05 - 00:18] Speaker A: We don't have that here, sorry. Is there anything else I can help you find today? We have a wide selection of accessories and other devices that might interest you, including cases, headphones, and smartwatches.\n[00:10 - 00:13] Speaker B: Oh, that's too bad. Do you know when you'll be getting it in stock?\n[00:19 - 00:30] Speaker A: Unfortunately, I don't have that information right now. But we do have some other phones that are similar. We have the Samsung Galaxy S9 and the Google Pixel 2. Would either of those work for you?\n[00:31 - 00:33] Speaker B: Yeah, the Galaxy S9 is fine.\n[00:33 - 00:38] Speaker A: Great! We have them in both black and blue, depending on your preference.\n[00:38 - 00:44] Speaker B: Actually, before I decide, can you tell me if there are any promotions or discounts available on the Galaxy S9?\n[00:45 - 01:01] Speaker A: We don't have any promotions on the Galaxy S9 at the moment, but I can check if there are any upcoming deals. So, as I was saying, we have it in both black and  blue, and both colors come with a one-year manufacturer's warranty and a free screen protector.\n[01:01 - 01:02] Speaker B: Blue, please.\n[01:02 - 01:05] Speaker A: Alright, let me grab that for you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--419304",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--419304.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: I'm pregnant.\n[00:01 - 00:10] Speaker B: Congratulations! When are you due? I remember my sister was due in September too, and she had the most beautiful autumn baby shower with all the seasonal decorations.\n[00:03 - 00:04] Speaker A: September.\n[00:10 - 00:18] Speaker B: Wow, you must be so excited! Do you know what you're  having? I've heard that finding out the gender early really helps with planning the nursery and picking out clothes.\n[00:19 - 00:20] Speaker A: A girl.\n[00:20 - 00:23] Speaker B: That's amazing! Have you started thinking about names yet?\n[00:24 - 00:28] Speaker A: Not really. I want something unique, but not too out there.\n[00:28 - 00:33] Speaker B: Yeah, that can be tough. My cousin named her daughter Harper and I love it.\n[00:33 - 00:37] Speaker A: That's a really pretty name. I'll have to keep that in mind.\n[00:37 - 00:41] Speaker B: Absolutely! So, are you feeling okay? Any morning sickness?\n[00:41 - 00:48] Speaker A: Yeah, I've been feeling pretty good so far. Just a little tired and nauseous at times, but nothing too bad.\n[00:49 - 00:51] Speaker B: That's great! Let me know if you need anything, okay?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--334902",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--334902.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: Wow, look at this rock! It's shaped like a heart. I've never seen anything like it before in my life, especially not with such perfect symmetry and natural beauty that makes it look almost hand-carved by nature itself.\n[00:05 - 00:07] Speaker B: That's so cool! Where did you find it?\n[00:13 - 00:21] Speaker A: Just over there, by that tree. Can you believe how lucky I am to have found something like this? It feels like a sign or something.\n[00:21 - 00:25] Speaker B: Sorry, but do you think there might be more rocks like that around here?\n[00:25 - 00:37] Speaker A: I don't know. I haven't seen any, but maybe if we look a little longer, we'll find some  other unique formations that could be just as fascinating and meaningful as this heart-shaped one we've discovered today.\n[00:38 - 00:39] Speaker B: Alright, let's look!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--8820",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--8820.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, doctor. I'm here about my broken arm.\n[00:03 - 00:05] Speaker B: Hi, Carlisle. Let's take a look at your arm.\n[00:06 - 00:09] Speaker A: It hurts a lot. I can't even move it without pain.\n[00:10 - 00:14] Speaker B: That sounds like a serious break. We'll need to put a cast on it to help it heal properly.\n[00:14 - 00:28] Speaker A: Okay, but how long will I have to wear the cast? And will I be able to play the violin in the near future, considering I have an important concert coming up and I've been practicing for months to prepare for this performance?\n[00:20 - 00:27] Speaker B: Sorry to interrupt, but before we talk about playing the violin, I need to know if you have any allergies to materials we might use for the cast.\n[00:28 - 00:34] Speaker A: No, I don't have any allergies. So, about the cast, how long will I need to wear it?\n[00:34 - 00:54] Speaker B: The cast will need to stay on for at least six weeks, and then we'll see how your arm is healing and go from there. As for playing the violin again, with proper healing and physical therapy, there's no reason why you shouldn't be able to  participate in your concert, but we will need to monitor your progress closely and adjust your therapy regimen based on how quickly your arm regains its full range of motion.\n[00:55 - 01:00] Speaker A: That's reassuring to hear. But what kind of physical therapy will I need to do?\n[01:00 - 01:09] Speaker B: Physical therapy will involve exercises to regain strength and flexibility in your arm. Don't worry, we'll take care of you and get your arm healed up in no time."
+  },
+  {
+    "key": "SODA_PROCESSED--train--424960",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--424960.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: So, you've traveled a lot?\n[00:02 - 00:07] Speaker B: Yes, I have. I've been to all sorts of interesting places, from tropical islands to snowy mountain ranges.\n[00:08 - 00:18] Speaker A: Sorry to interrupt, but when you say \"all sorts of places,\" do you mean different countries or also different kinds of environments, like cities versus rural areas?\n[00:19 - 00:36] Speaker B: Both, actually. I've visited various countries and experienced everything from bustling cities to remote villages. It's definitely a great experience. You get to see so many different cultures and meet new people, each with their own unique stories and perspectives that can completely change how you view the world and your place in it.\n[00:29 - 00:33] Speaker A: Speaking of cultures, which one left the biggest impression on you?\n[00:36 - 00:48] Speaker B: That's a tough question, but I think visiting Japan had the most profound impact on me. The blend of tradition and modernity there is just fascinating. But I haven't even mentioned how meeting new people really enhances the whole travel experience.\n[00:49 - 00:52] Speaker A: It must be wonderful to be able to see the world like that.\n[00:53 - 00:56] Speaker B: It is. I highly recommend it if you ever get the chance.\n[00:56 - 01:01] Speaker A: I'm definitely going to try to make it happen. Thank you for talking with me about it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--27446",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--27446.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hey, dad.\n[00:01 - 00:02] Speaker B: Hey, son. How are you doing?\n[00:03 - 00:07] Speaker A: I'm okay. I've just been staying away from the lake for a while.\n[00:07 - 00:11] Speaker B: I can understand that. It must be hard for you to go back there after what happened.\n[00:12 - 00:24] Speaker A: Yeah, it is. I feel guilty about what happened and I don't want to see the place where it all happened because every time I go near the water, I get flashbacks of that terrible day and all the what-ifs start flooding my mind.\n[00:16 - 00:23] Speaker B: Sorry to interrupt, but have you thought about talking to a therapist? It might help you process what you're feeling.\n[00:25 - 00:31] Speaker A: I haven't really considered that. I just feel so ashamed of what I did and I don't want to see anyone.\n[00:32 - 00:35] Speaker B: You need to face your guilt. You can't keep running away from it.\n[00:35 - 00:41] Speaker A: I know, but it's so hard. I'm ashamed of what I did and I don't want to see anyone.\n[00:41 - 00:54] Speaker B: You need to forgive yourself, son. What happened was an accident and you can't keep living in guilt and shame because  it will only make things worse for you in the long run, affecting your mental health, relationships, and ability to move forward with your life in a positive way.\n[00:54 - 00:58] Speaker A: But dad, what if people don't understand? What if they blame me?\n[00:59 - 01:06] Speaker B: It's natural to worry about that, but you can't control how others feel. You can only control how you deal with your own emotions. It will eat you alive.\n[01:07 - 01:09] Speaker A: I know, dad. I'll try to let it go.\n[01:10 - 01:11] Speaker B: That's all we can ask for, son."
+  },
+  {
+    "key": "SODA_PROCESSED--train--961025",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--961025.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, thanks for coming out to the writers' group tonight. It's great to have you here.\n[00:05 - 00:19] Speaker B: No problem, Ekaterina. I'm always happy to help out with anything that has to do with writing. So, what did you want to discuss tonight? I know you've always got something interesting up your sleeve, whether it's a new plot twist or some innovative character development techniques.\n[00:11 - 00:23] Speaker A: Sorry to jump in, I just want to make sure I explain the situation clearly. I've been working on a new piece and I've been stuck for a while. I was hoping to get some feedback from you guys.\n[00:24 - 00:26] Speaker B: Sure, no problem. Let's take a look.\n[00:26 - 00:31] Speaker A: Okay, well, it's a short story about a guy who discovers he has superpowers.\n[00:32 - 00:42] Speaker B: Sounds interesting. What kind of superpowers does he  have? Is it something unique or more like the classic superhero abilities that we've seen in popular comics and movies throughout the decades?\n[00:42 - 00:47] Speaker A: He can fly, he's really strong, and he can also shoot fire from his eyes.\n[00:47 - 00:51] Speaker B: Wow, that sounds really cool. How does he discover his powers?\n[00:52 - 01:01] Speaker A: Well, one day he just suddenly realizes that he can fly and that he's really strong. Then, when he tries to shoot fire from his eyes, it actually works!\n[01:02 - 01:05] Speaker B: That sounds like a really great story. I can't wait to read it when you finish it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--187120",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--187120.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Hey, thanks so much for agreeing to this. I know it wasn't easy, but I'm really happy that we could come to an agreement.\n[00:07 - 00:11] Speaker B: Yeah, no problem. I'm just glad that we could work something out.\n[00:11 - 00:26] Speaker A: So, what do you think about the terms of the agreement? Are you happy with the conditions we discussed, especially the ones regarding the deliverables and milestones, as well as the payment structure and quality assurance protocols we put in place?\n[00:15 - 00:21] Speaker B: Sorry to interrupt, but I just realized we haven't discussed the timeline for implementation. Do you have any thoughts on that?\n[00:26 - 00:36] Speaker A: That's a good point. We should definitely iron out the timeline. But before I get to that, I wanted to know if you're happy with the terms of the agreement overall.\n[00:36 - 00:44] Speaker B: I'm actually really happy with them! I think they're fair and I'm glad that we were able to come to an agreement on them. Thanks for being flexible and working with me on this.\n[00:45 - 00:54] Speaker A: Of course, no problem. I'm just glad that we could come to an agreement that works for both of us. Thanks for being reasonable and open to negotiation.\n[00:55 - 01:01] Speaker B: Yeah, no problem. I think this is going to be a great arrangement for both of us. Thanks for your help in making it happen.\n[01:02 - 01:08] Speaker A: Absolutely. Now, about that timeline—do you have any preferences or constraints we should be aware of?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--860535",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--860535.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hi, would you like to sit down?\n[00:02 - 00:03] Speaker B: Thank you, I appreciate it.\n[00:04 - 00:06] Speaker A: It's no problem at all. How are you today?\n[00:07 - 00:10] Speaker B: Oh, I'm doing well. Just enjoying the day. And yourself?\n[00:10 - 00:24] Speaker A: Same here. Just taking it easy and enjoying the weather. So what brings you out here today? Are you just out for a walk or do you have some specific plans like meeting friends or maybe exploring the local cafes in this beautiful neighborhood?\n[00:16 - 00:22] Speaker B: Sorry to interrupt, but I just noticed—do you come here often? I feel like I might have seen you around before.\n[00:24 - 00:31] Speaker A: Actually, I do come here pretty often. It's one of my favorite spots to relax. But you were saying you love nature?\n[00:32 - 00:35] Speaker B: Yeah, I love nature and being outdoors always makes me feel better.\n[00:36 - 00:44] Speaker A: I completely agree. There's just something about being in nature that is so calming and relaxing. Do you live around here?\n[00:44 - 00:48] Speaker B: Yeah, not too far from here. I'm just down the street.\n[00:48 - 00:53] Speaker A: That's great. I'm just up the street from here. So we're practically neighbors.\n[00:53 - 00:55] Speaker B: That's awesome! Small world, huh?\n[00:56 - 01:01] Speaker A: Yeah, it is. Well, it was nice meeting you and I hope you have a great day.\n[01:01 - 01:03] Speaker B: You too! Thanks for the chat."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1146016",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1146016.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi Sarah. It's nice to meet you.\n[00:03 - 00:05] Speaker B: Thank you, Jeanne. I'm happy to meet you too.\n[00:05 - 00:08] Speaker A: So Sarah, what do you like to do for fun?\n[00:08 - 00:22] Speaker B: Well, I enjoy reading and playing soccer. I also like spending time with my family and friends. And of course, taking care of my pet cat who is always getting into mischief by knocking things off shelves and hiding my socks in the most unexpected places around the house.\n[00:15 - 00:18] Speaker A: Oh, I love cats! What's Muffy like?\n[00:22 - 00:31] Speaker B: Muffy is very playful and loves to chase after toys. She's a bit of a troublemaker sometimes, but I adore her. I was going to say that I also enjoy watching movies on weekends.\n[00:32 - 00:36] Speaker A: That sounds like a lot of fun. Do you have any favorite books or soccer teams?\n[00:37 - 00:49] Speaker B: Yes, I do. My favorite book series is the Harry Potter series. And my favorite soccer team is Manchester  City, but I also respect their rivals because they push each other to play at the highest level and create some truly memorable matches.\n[00:50 - 00:56] Speaker A: United? No way! I'm a huge fan too. Have you ever been to one of their matches?\n[00:56 - 01:02] Speaker B: Not yet, but it's definitely on my bucket list. I think it would be amazing to see them play live.\n[01:02 - 01:13] Speaker A: Wow, those are both great choices. I'm a big fan of the Harry Potter series myself, and I've always wanted to visit England to see a Manchester United game.\n[01:13 - 01:16] Speaker B: That would be so much fun! I'm sure you would enjoy it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--105890",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--105890.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hi, I'm interested in test driving a few cars.\n[00:04 - 00:06] Speaker B: Absolutely! What kind of car are you looking for?\n[00:07 - 00:10] Speaker A: I'm not really sure. Maybe an SUV?\n[00:10 - 00:23] Speaker B: We have a great selection of SUVs. Follow me and I'll show you some of our latest models that have received excellent reviews and come with advanced features like lane-keeping assist, adaptive cruise control, and premium sound systems.\n[00:15 - 00:20] Speaker A: Actually, could you tell me if there are any specific deals or promotions on SUVs right now?\n[00:23 - 00:31] Speaker B: Yes, we do have some promotions on certain models. Let me show you those as well. So, what do you think of this SUV? It's one of our newest models.\n[00:31 - 00:38] Speaker A: It's nice. I like the feel of it. How much does it cost, and are there any financing options available?\n[00:38 - 00:43] Speaker B: Before we get into the price, can you tell me what features are most important to you in an SUV?\n[00:44 - 00:51] Speaker A: Sure, I'm looking for good fuel efficiency and advanced safety features. But I'm also curious about the cost.\n[00:51 - 00:58] Speaker B: This model is priced at $30,000, and we do have flexible financing options available to make it more affordable for you.\n[00:59 - 00:59] Speaker A: I'll take it.\n[01:00 - 01:04] Speaker B: Great! I'll just need your driver's license and insurance information."
+  },
+  {
+    "key": "SODA_PROCESSED--train--571413",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--571413.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Wow, this food is amazing! I'm so glad I decided to come here.\n[00:05 - 00:08] Speaker B: I know, right? It's one of my new favorite places.\n[00:08 - 00:10] Speaker A: Have you been coming here long?\n[00:10 - 00:23] Speaker B: Not too long. I just found out about it a few weeks ago from a friend. But I've been coming here pretty regularly ever since I first tried their pasta which has this incredible homemade sauce that's perfectly balanced between rich and light with just the right amount of herbs.\n[00:17 - 00:22] Speaker A: Oh, by the way, do they change their menu often, or is it usually the same?\n[00:23 - 00:33] Speaker B: They do have seasonal specials, but the main menu stays pretty consistent. I was saying, I've been coming here regularly ever since. It's definitely a hidden gem. But I'm glad we found it!\n[00:33 - 00:34] Speaker A: Yes, me too!\n[00:35 - 00:37] Speaker B: So, Sarah, what do you do for a living?\n[00:37 - 00:43] Speaker A: I'm a graphic designer. I work for a small company that focuses on branding and digital media.\n[00:43 - 00:49] Speaker B: Wait, are you the one who designed that logo for the new coffee shop downtown? It looks amazing!\n[00:49 - 01:02] Speaker A: No, that wasn't me, but thank you! I work for a small company downtown. It's definitely a lot of work, but it's also really rewarding. I love being able to create something that people can enjoy.\n[01:03 - 01:06] Speaker B: Yeah, I can imagine. It seems like it would be very creative and satisfying.\n[01:07 - 01:10] Speaker A: It definitely is. What about you? What do you do?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--33760",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--33760.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Hey, Mom. I was thinking about what I want to do with my life and I think I've found my calling.\n[00:06 - 00:08] Speaker B: Oh, really? What is it, dear?\n[00:08 - 00:12] Speaker A: I want to help animals. I'm going to be an animal communicator.\n[00:12 - 00:24] Speaker B: That's wonderful, Callaway! But what exactly does that involve? How will you be able to communicate with animals in a way that helps them understand human intentions and navigate challenging situations they might encounter?\n[00:17 - 00:36] Speaker A: Sorry, I should have explained better. Basically, I'll be helping animals who are in need - either sick, lost, or in danger. By communicating with them telepathically, I'll be able to help them understand what they need to do and where they need to go. Hopefully, this will make their lives a little bit easier and safer.\n[00:36 - 00:44] Speaker B: Wow, that sounds like an amazing gift! How did you discover that you could communicate with animals in this way? Did something specific happen?\n[00:44 - 01:09] Speaker A: Actually, it started when I was a little girl. I always felt a connection to animals. And lately, I've noticed they seem to understand me too—like when I talked to our dog about not chewing on my shoes anymore (laughs). After researching online and talking to people who have this ability, it seems like something that comes naturally to me and that I could really use to help others. So that's why animal communication is my calling.\n[01:10 - 01:17] Speaker B: Well Callaway, if this is truly what you feel called to do, then follow your heart and go for it! We'll support you all the way!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1101616",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1101616.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: No thank you, I'm not interested.\n[00:02 - 00:05] Speaker B: Oh, come on! Just take a look at this watch! It's a beauty!\n[00:05 - 00:09] Speaker A: Sorry, but I don't really need a watch right now.\n[00:09 - 00:19] Speaker B: Well, how about I give you a good deal on it? I'll give it to you for a special discount, just for you, and I can even throw in a free leather strap and a one-year warranty to sweeten the deal.\n[00:13 - 00:20] Speaker A: Half price? I appreciate the offer, but honestly, I'm just not in the market for a watch.\n[00:20 - 00:26] Speaker B: Are you sure? I can give you an even better deal! I'll give it to you for an even bigger discount, almost at cost price.\n[00:26 - 00:31] Speaker A: Free? That's really generous, but no, thanks. I just don't need it.\n[00:32 - 00:34] Speaker B: Why not? It's a great watch!\n[00:34 - 00:37] Speaker A: I just don't need it, that's all. Thanks anyway.\n[00:38 - 00:40] Speaker B: Well, if you change your mind, let me know!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--883174",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--883174.wav",
+    "model_output": "[00:00 - 00:08] Speaker A: I really admire the way you carry yourself, Kaily. You always seem so confident and sure of yourself. I wish I could be more like that.\n[00:08 - 00:26] Speaker B: Well, thank you, Chyna. It's something that I've had to work on, for sure. Confidence is something that you have to build from within yourself. It's not something that just comes naturally to everyone. For me, it took years of consciously challenging my self-doubt, practicing positive self-talk, and surrounding myself with supportive people who encouraged my growth.\n[00:17 - 00:25] Speaker A: Sorry to jump in, but how did you start building it? Was there a specific moment or event that triggered this change for you?\n[00:27 - 00:47] Speaker B: There wasn't a single moment, but a series of small steps and experiences that helped me. For example, I started taking risks in situations where I felt uncomfortable. But once I started believing in myself and my own abilities, things got a lot easier. Nowadays, I still have moments where I doubt myself – we all do – but overall, I feel pretty good about who I am and what I can do.\n[00:47 - 00:57] Speaker A: That's really inspiring, Kaily. I'm definitely going to try to work on my confidence more. It would make such a difference in my life if I could feel that way all the time.\n[00:58 - 01:01] Speaker B: Absolutely! I believe in you, Chyna. You can do it!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--219689",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--219689.wav",
+    "model_output": "[00:00 - 00:23] Speaker A: Excuse me, ma'am. I was wondering if you could help me. I'm looking for a job, and I found a lead at a company called XYZ Corporation. I wanted to look it up in the business section, but I'm not sure where to start searching for detailed information about the company's financial performance, employee reviews, and recent news articles that might give me an edge in the application process.\n[00:13 - 00:17] Speaker B: Oh, no problem at all! Just tell me the name of the company, and I'll help you find it.\n[00:24 - 00:26] Speaker A: XYZ Corporation.\n[00:26 - 00:45] Speaker B: Okay, let's see...here it is. XYZ Corporation is expanding and they're looking for new employees. It looks like they're based in New York  and have multiple offices across the state, which might give you some options depending on where you want to work. They specialize in financial services and have been growing steadily over the past five years according to these business reports.\n[00:46 - 00:52] Speaker A: New York City? That's where I'm from! Do you have any information on how to apply for a job there?\n[00:53 - 01:03] Speaker B: Yes, we do. There's an application form right here, and it includes instructions on how to apply. There are also contact numbers for the human resources department if you have any questions.\n[01:03 - 01:06] Speaker A: Thank you so much! This is exactly what I needed."
+  },
+  {
+    "key": "SODA_PROCESSED--train--741600",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--741600.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Hey, I've been thinking about starting a new project and I wanted to get your opinion on it.\n[00:05 - 00:06] Speaker B: Sure, what's the project?\n[00:07 - 00:28] Speaker A: Well, I was thinking about starting a blog where I write about personal finance. I would share tips on how to save money, invest wisely, and stay out of debt. What do you think about the idea of incorporating guest posts from financial experts who could provide specialized knowledge and unique perspectives that would add tremendous value for our readers?\n[00:18 - 00:24] Speaker B: Sorry to cut in, but how do you plan to make your blog stand out from all the other personal finance blogs out there?\n[00:28 - 00:36] Speaker A: That's a good point. I was planning to focus on personal stories and real-life examples to make it more relatable. What do you think?\n[00:37 - 00:50] Speaker B: That sounds like a great idea! I know a lot of people who could definitely use some help in that area. Plus, it seems like there's always new information to share on the topic of personal finance, so you'd never run out of things to write about. Count me in as a reader!\n[00:51 - 01:06] Speaker A: Awesome, I'm glad you think it's a good idea. I was worried you might think it was a little  too niche or not engaging enough for a broad audience since personal finance can sometimes be perceived as dry or intimidating by many people.\n[01:06 - 01:16] Speaker B: Boring? Not at all! I think it sounds like it has the potential to be really helpful and informative. I'm sure there are plenty of people out there who would find it interesting and useful.\n[01:16 - 01:22] Speaker A: Yeah, I hope so. I'm going to start working on it right away. Thanks for the encouragement!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--719833",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--719833.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I'm just not sure if this is what I want anymore.\n[00:03 - 00:13] Speaker B: What do you mean? We've been together for months now, and things were going so well, or at least I thought they were. We had all those plans for the summer and you seemed genuinely happy when we went to the beach last weekend.\n[00:06 - 00:13] Speaker A: I don't know. I just feel like we're on two different wavelengths. It doesn't feel like we're really connecting anymore.\n[00:13 - 00:18] Speaker B: Maybe we just need to communicate more. I'm always open to talking about whatever is on your mind.\n[00:19 - 00:23] Speaker A: It's not that simple. I just don't think this is what I want right now.\n[00:23 - 00:29] Speaker B: Why? Is there someone\n[00:33 - 00:42] Speaker A: No, it's not that. It's just...I don't know, everything feels so heavy and complicated right now. I need some time to figure things out on my own.\n[00:43 - 00:48] Speaker B: I can't believe you're saying this. We've been through so much together. I thought we were in this for the long haul.\n[00:48 - 00:52] Speaker A: I'm sorry, Casen. I just can't do this right now.\n[00:52 - 00:55] Speaker B: Fine. If that's what you want, then I guess we're done."
+  },
+  {
+    "key": "SODA_PROCESSED--train--39376",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--39376.wav",
+    "model_output": "[00:00 - 00:10] Speaker A: Abrahan, I'm trying to talk to you. Can you please put your phone down for a moment so we can focus on the conversation and really connect without any distractions between us?\n[00:04 - 00:06] Speaker B: I'm sorry, I was just checking my messages.\n[00:10 - 00:21] Speaker A: It's fine, I understand. But can we please talk now? I feel like we've been neglecting each other lately, and I really want to reconnect and understand what's been going on with us.\n[00:22 - 00:26] Speaker B: You're right, we have been neglecting each other. I'm sorry about that.\n[00:26 - 00:28] Speaker A: So what do you want to talk about?\n[00:28 - 00:31] Speaker B: I don't know, what do you want to talk about?\n[00:31 - 00:38] Speaker A: I guess I just want to know what's going on with you. You've been acting different lately and I'm just wondering what's going on.\n[00:38 - 00:42] Speaker B: There's nothing really going on, I've just been busy with work and stuff.\n[00:43 - 00:48] Speaker A: Okay, well maybe we can talk about something else then. What did you do today?\n[00:49 - 00:51] Speaker B: Not much, just went to work and then came home.\n[00:52 - 00:53] Speaker A: What about yesterday?\n[00:54 - 00:58] Speaker B: Yesterday was pretty much the same thing. Work and then came home."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1079940",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1079940.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: This pizza was really good! I'm so glad we decided to get it.\n[00:04 - 00:13] Speaker B: Yeah, it was great! I'm glad we could enjoy it together on this lovely evening while catching up on all the latest news and sharing our thoughts about life in general.\n[00:07 - 00:12] Speaker A: Sorry to interrupt, I just remembered, do you have any favorite pizza toppings?\n[00:14 - 00:17] Speaker B: Oh, I love pepperoni and mushrooms. So, what do you like to do for fun?\n[00:18 - 00:22] Speaker A: I like to read, listen to music, and go on walks. What about you?\n[00:23 - 00:32] Speaker B: I like to read and listen to music too! I also like to  try new recipes and experiment in the kitchen whenever I get the chance to explore different cuisines from around the world.\n[00:32 - 00:37] Speaker A: Oh, that's awesome! Do you have any favorite books or genres you particularly enjoy?\n[00:38 - 00:42] Speaker B: I enjoy mystery novels the most. I was saying I also like to bake and cook.\n[00:43 - 00:46] Speaker A: That sounds great! We should definitely hang out more often."
+  },
+  {
+    "key": "SODA_PROCESSED--train--47850",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--47850.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, Ms. Jones! How are you today?\n[00:03 - 00:05] Speaker B: I'm doing well, Marlaina. How are you?\n[00:06 - 00:11] Speaker A: I'm good. I was just wondering if you had any advice on how to become a better artist.\n[00:12 - 00:44] Speaker B: Well, Marlaina, the best way to become a better artist is to practice as much as possible and to never give up on your art. You have to be willing to put in the hard work and dedication required to improve your skills. Also, it's important to study other artists and learn from them. There's no one right way to do things in art, so by looking at what others have done, you can gain insights into different techniques and approaches that you might not have considered before, while also developing a deeper appreciation for the creative process and artistic expression across various mediums and styles.\n[00:32 - 00:39] Speaker A: Sorry to jump in, but when you say \"study other artists,\" do you mean like copying their work or just observing their techniques?\n[00:45 - 00:59] Speaker B: Great question! I mean more about observing their techniques and understanding the choices they make in their work. By doing that, you can start to develop your own unique style. Keep experimenting and pushing yourself creatively, and eventually you'll start seeing improvement in your work.\n[00:59 - 01:05] Speaker A: Yeah, I definitely need to practice more. I'm always second-guessing myself and my abilities.\n[01:06 - 01:16] Speaker B: It's normal to feel that way, Marlaina. Just remember that everyone goes through ups and downs with their art. The important thing is to keep going and to never give up. You'll get there eventually if you keep at it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--28408",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--28408.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: Hey, Jonnathan. I noticed that you didn't participate much in class today and you seem really down. Is everything okay?\n[00:07 - 00:11] Speaker B: Yeah, I'm fine. I just don't feel like doing anything lately.\n[00:12 - 00:26] Speaker A: Well, I think you should try new things to get out of your funk. Maybe there's something you've been wanting to do but were too scared to take the first step or commit to it because you're worried about failing or not being good enough right away.\n[00:19 - 00:25] Speaker B: Actually, I have been thinking about learning to play the guitar, but I'm not sure if I have the time or the talent for it.\n[00:26 - 00:43] Speaker A: That's a great idea! Learning an instrument can be really fulfilling. And about the time, you can always start small. Just a few minutes a day can make a difference. But I was going to say, if you don't like it, you can always stop. But at least you would have tried something new and expanded your horizons a little bit.\n[00:44 - 00:47] Speaker B: Alright, I'll try it. Thanks, Cesar."
+  },
+  {
+    "key": "SODA_PROCESSED--train--137471",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--137471.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: This movie is so ridiculous. The characters are making all the wrong decisions.\n[00:05 - 00:10] Speaker B: What do you mean? What are they doing that's so wrong? I didn't catch anything too out of the ordinary.\n[00:10 - 00:28] Speaker A: Well, for starters, the guy is completely oblivious to the fact that the girl is interested in him. He's missing all the signs. And even when she finally tells him outright that she likes him, he still doesn't get it. I mean, come on! Any normal guy would have picked up on that from a mile away.\n[00:28 - 00:38] Speaker B: I see what you mean. But maybe he's just shy or unsure of himself. That can happen in real life too, especially if he's had bad experiences in the past or is afraid of rejection.\n[00:39 - 01:00] Speaker A: True, but then there's the way they're always bickering and fighting with each other. It's like they're not even trying to get along half the time. No wonder they keep breaking up and getting back together again. It's just unrealistic and frankly exhausting to watch these supposedly intelligent characters make the same mistakes over and over without any character development.\n[00:52 - 00:58] Speaker B: Well, I guess we all have our different opinions on what's realistic in a romantic comedy. But I still think it's a cute movie.\n[01:01 - 01:06] Speaker A: Yeah, it's not bad. I just wish they would have made the characters a little more believable."
+  },
+  {
+    "key": "SODA_PROCESSED--train--403013",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--403013.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Thanks for agreeing to meet with me, Maria. I really appreciate it.\n[00:04 - 00:18] Speaker B: It's no problem. I know you're looking for information on the city and I can help you out. But it's going to take some time and resources to gather everything you need, including accessing restricted archives and verifying the authenticity of documents, so it won't be cheap.\n[00:09 - 00:14] Speaker A: How much are we talking about here? I need to know if I can afford this.\n[00:18 - 00:19] Speaker B: 10,000 euros.\n[00:20 - 00:23] Speaker A: 10,000 euros?! That's a lot of money.\n[00:24 - 00:37] Speaker B: You're not the only one looking for information. And what I have is worth  every penny because it's highly detailed and hard to come by, containing classified government records and insider knowledge that could change your entire perspective on the city's history.\n[00:37 - 00:43] Speaker A: Alright, I understand. I'll give you the money. But you have to promise me that the information is good.\n[00:43 - 00:46] Speaker B: It's good, I promise. You won't be disappointed."
+  },
+  {
+    "key": "SODA_PROCESSED--train--414445",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--414445.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Cristine's wife is beautiful.\n[00:02 - 00:05] Speaker B: Yeah, she is. I'm so lucky to have her.\n[00:06 - 00:18] Speaker A: I feel guilty because I know that Cristine's wife is actually in a coma and she is not able to hear all the wonderful things people say about her or feel the love that surrounds her during this difficult time.\n[00:11 - 00:13] Speaker B: What? Why would you say that?\n[00:18 - 00:24] Speaker A: I don't know. It just feels wrong to me, seeing you so happy when she's stuck in a hospital bed.\n[00:25 - 00:35] Speaker B: Emmah, she's going to be okay. The doctors are confident she'll wake up soon and be back to her  normal life with all her memories intact, and I can't wait for that day when we can finally hold each other again.\n[00:35 - 00:40] Speaker A: But what if she doesn't? Have you thought about what happens if she doesn't wake up?\n[00:41 - 00:48] Speaker B: I try not to think that way. The doctors believe in her recovery, and that's what I'm holding on to. So please don't say things like that, it doesn't help.\n[00:49 - 00:52] Speaker A: I'm sorry, Cristine. I didn't mean to upset you.\n[00:53 - 00:57] Speaker B: It's okay. I know you didn't mean it. Just try to be positive for me, okay?\n[00:58 - 01:00] Speaker A: Sure, anything for you, Cristine."
+  },
+  {
+    "key": "SODA_PROCESSED--train--415948",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--415948.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey man, what's up?\n[00:01 - 00:04] Speaker B: Not much, just wanted to talk to you about something.\n[00:04 - 00:06] Speaker A: Yeah, what's up?\n[00:06 - 00:17] Speaker B: Well, I noticed that you've been ignoring me lately and I just wanted to see if everything's okay between us because it's been bothering me and making me question whether I might have done something to upset you unintentionally.\n[00:10 - 00:17] Speaker A: Sorry to cut you off, but are you sure it's not just a misunderstanding? I've been swamped with work lately.\n[00:17 - 00:23] Speaker B: I get that, but it feels like it's been happening a lot. I just wanted to know if there's something else going on.\n[00:23 - 00:29] Speaker A: Uh, I don't know. I'm just really busy right now and I don't have time for small talk.\n[00:30 - 00:34] Speaker B: Oh, okay. I understand. Just wanted to make sure there wasn't anything wrong.\n[00:34 - 00:37] Speaker A: No, no everything's fine. Thanks for checking in though."
+  },
+  {
+    "key": "SODA_PROCESSED--train--317784",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--317784.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hey, babe. I've been meaning to talk to you about something. It's about my debt.\n[00:05 - 00:07] Speaker B: What about it? Is everything okay?\n[00:07 - 00:25] Speaker A: Well, no, not really. I'm pretty far behind on my payments and I'm starting to feel really stressed out about it. I don't know how I'm going to catch up without making some major sacrifices like moving to a cheaper apartment or giving up my car which would make getting to work much more difficult.\n[00:17 - 00:22] Speaker B: How far behind are you? We need to understand the situation fully before we can come up with a solution.\n[00:25 - 00:30] Speaker A: I'm behind by a couple of months. I owe about $20,000 in total.\n[00:30 - 00:37] Speaker B: Okay, that's not too bad. We can definitely come up with a plan to pay that off. Do you have a payment plan set up already?\n[00:37 - 00:51] Speaker A: Yeah, I do. But the payments are really high and I don't know how I'm going to make them each  month without cutting into other essential expenses like groceries or utilities which are already stretched pretty thin as it is.\n[00:51 - 00:57] Speaker B: Wait, how high are the payments? Maybe we can renegotiate the terms or find a way to lower them.\n[00:58 - 01:07] Speaker A: The monthly payments are around $600. I was going to say I'm not sure where to cut back, but yeah, maybe renegotiating could be an option.\n[01:08 - 01:16] Speaker B: Let's start by reviewing your budget and seeing where we can make adjustments. If that doesn't work, we can explore other options like consolidation or refinancing.\n[01:16 - 01:23] Speaker A: That sounds like a good idea. I really appreciate your help with this. I've been feeling really overwhelmed by it all.\n[01:24 - 01:27] Speaker B: Of course, babe. I'm here for you. We'll get through this together."
+  },
+  {
+    "key": "SODA_PROCESSED--train--299895",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--299895.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Hey, Mom and Dad. I just wanted to let you know that I got a 98 on my math test today.\n[00:06 - 00:15] Speaker B: Wow! That's amazing, Athanasios! We're so happy for you and impressed by your dedication to your studies! You've really shown tremendous growth this semester.\n[00:09 - 00:14] Speaker A: Thanks! I studied really hard for it and I'm just glad that it paid off.\n[00:16 - 00:22] Speaker B: proud of you! But how did you manage to prepare so well? Was there a particular strategy you used this time?\n[00:22 - 00:31] Speaker A: I focused more on practice problems and reviewed the concepts every night. I know that getting good grades is important for my future success.\n[00:31 - 00:38] Speaker B: We're glad that you understand that. We just want what's best for your future, and we're here to support you in any way we can.\n[00:38 - 00:46] Speaker A: I know. And I appreciate all that you've done for me. I promise to keep working hard in school so that I can make you proud.\n[00:46 - 00:53] Speaker B: you, and it's clear that your hard work is paying off. We already are proud of you, Athanasios. We love you no matter what."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1011922",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1011922.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hi, I saw that you were struggling with your project and I wanted to offer my help.\n[00:05 - 00:07] Speaker B: Thank you so much, Luc! I really appreciate it.\n[00:08 - 00:24] Speaker A: No problem at all! I know how frustrating it can be when you're stuck on something. Let me see if I can help you figure out the next steps or troubleshoot any issues you're having by breaking down the problem into smaller, more manageable components that we can address one at a time.\n[00:14 - 00:18] Speaker B: Actually, I was wondering if you have any experience with similar projects?\n[00:24 - 00:35] Speaker A: Yes, I've worked on a few projects like this before. Okay, so it looks like you're having trouble with this part of the project. Have you tried doing it this way? It might streamline the process.\n[00:36 - 00:40] Speaker B: Wait, before we go into that, can you explain why this method might work better?\n[00:40 - 00:55] Speaker A: Sure, the reason this method might work better is because it simplifies the process and reduces the chance of errors  while also saving you valuable time that you can then dedicate to other important aspects of your project development.\n[00:55 - 00:57] Speaker B: No, I didn't think of that. Thank you, Luc!\n[00:58 - 01:00] Speaker A: You're welcome! I'm glad I could help."
+  },
+  {
+    "key": "SODA_PROCESSED--train--604161",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--604161.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: What seems to be the problem? Why do you feel that I'm greedy and unprofessional?\n[00:05 - 00:09] Speaker B: Well, you charge an exorbitant fee, and I don't feel that you're worth it.\n[00:09 - 00:35] Speaker A: I see. Well, let me explain my fee to you. First of all, I only work with a select few clients. I'm very choosy about who I work with because I want to make sure that we're a good fit. And secondly, my fee reflects the quality of my work and the results that my clients can expect from my services, which often exceed industry standards and include comprehensive aftercare to ensure long-term satisfaction and measurable improvements.\n[00:28 - 00:30] Speaker B: But don't you think that your fee is a bit too high?\n[00:36 - 01:01] Speaker A: Not at all. In fact, many of my clients have said that they feel like they've gotten a bargain when they compare what they paid me to the results I've helped them achieve. However, I haven't mentioned how my fee structure also includes  ongoing support and follow-up consultations to ensure sustained success, along with access to exclusive resources and personalized strategies that are unavailable through other service providers.\n[01:01 - 01:05] Speaker B: Well, maybe other people feel that way, but I still don't think your fee is fair."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1010433",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1010433.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Hey there, Jerron! Welcome to the crime beat. I'm sure you're excited to get started on such an important story.\n[00:07 - 00:14] Speaker B: Yeah, I am! I can't wait to get started and see what kind of leads we can uncover. It's going to be a challenge, but I'm ready for it.\n[00:14 - 00:30] Speaker A: Well, you came to the right place. We've got a lot of experience with this sort of thing around here. So, where do you want to begin? Do you have any particular areas of interest in mind or specific angles you'd like to explore first regarding this complex investigation?\n[00:21 - 00:29] Speaker B: Actually, before we dive into that, could you tell me more about the team's experience with similar cases? It might help me get a better sense of how we approach things here.\n[00:30 - 00:48] Speaker A: Sure, we've handled a variety of cases, ranging from high-profile murders to organized crime. Our approach is very methodical, and we rely heavily on building strong relationships with sources. Speaking of which, do you have any specific methods you prefer when it comes to gathering information?\n[00:49 - 00:57] Speaker B: I'm glad you mentioned sources. How do you usually establish those relationships? I think that will be crucial for us to get reliable information.\n[00:57 - 01:13] Speaker A: Building trust is key. It often starts with small, consistent interactions—showing that you're genuinely interested in their perspective. I was going to mention specific leads we have on this case, but we can circle back to that once we discuss how to handle sources."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1030451",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1030451.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, how are you doing?\n[00:01 - 00:04] Speaker B: I'm doing alright, thanks for asking. How about you?\n[00:04 - 00:19] Speaker A: I'm doing well, thanks. I was just thinking about how fair and equal everyone should be treated, especially in the workplace where unconscious biases can sometimes affect decision-making processes without people even realizing it.\n[00:10 - 00:16] Speaker B: Oh, I totally agree! But do you think it's realistic to achieve that kind of fairness in today's society?\n[00:19 - 00:33] Speaker A: It's definitely challenging, but I think it's something we should all strive for. That's why I always make sure to treat everyone equally and fairly. I think it's important to give everyone the same opportunities and chances to succeed.\n[00:33 - 00:44] Speaker B: Absolutely! We all should be given the same opportunities in life, regardless of our social status or anything else. Viktoria, you're such a fair person and I really admire that about you!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1574",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1574.wav",
+    "model_output": "[00:00 - 00:10] Speaker A: Hi Emery. I've been admiring your work for some time and I've decided to join your company because I truly believe in the innovative approach and vision you've established in the industry.\n[00:11 - 00:22] Speaker B: That's great! I'm really happy to have you join us and contribute your expertise to our ongoing projects, especially since your background aligns perfectly with our current initiatives and future expansion plans.\n[00:13 - 00:24] Speaker A: Before we go further, could you tell me a bit more about the team dynamics here? I want to make sure I can integrate smoothly and understand how everyone collaborates on a day-to-day basis.\n[00:24 - 00:44] Speaker B: Absolutely, the team is very collaborative, and we emphasize open communication. I was going to say that I'm really happy to have you on board, and I think you'll fit in well. After the tour, we can dive into your project and\n[00:45 - 00:57] Speaker A: Actually, about the project—could we discuss the timeline first? I want to make sure I can deliver on expectations and understand the key deadlines and deliverables in detail before committing to anything."
+  },
+  {
+    "key": "SODA_PROCESSED--train--304811",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--304811.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: So, how've you been? It feels like forever since we've talked!\n[00:04 - 00:15] Speaker B: I know, right? I've been good. Just keeping busy with work and my new responsibilities at the office which have been quite challenging but also really rewarding as I'm learning so many new skills and taking on leadership roles.\n[00:07 - 00:12] Speaker A: Oh, speaking of work, what's new with you? Anything exciting?\n[00:16 - 00:20] Speaker B: Not much. Just the usual grind. But I did just get a promotion, so that's exciting.\n[00:20 - 00:23] Speaker A: Congratulations! That's great news.\n[00:24 - 00:31] Speaker B: Thanks. It's definitely a nice raise too. I'm looking forward to spending more time at home now that I don't have to commute as often as before.\n[00:32 - 00:38] Speaker A: Wait, does that mean you'll be working from home more often? That sounds like a game-changer for your work-life balance.\n[00:39 - 00:47] Speaker B: Exactly! I'll be remote most days, which is going to be a huge relief. And I was going to say, spending more time with the family will be amazing too.\n[00:47 - 00:52] Speaker A: Yeah, I can imagine that would be a big relief. So how's your family doing?\n[00:53 - 01:01] Speaker B: They're all good. My kids are growing up so fast, it feels like they're changing every day. And my wife is pregnant again, so we're getting ready for another baby in the house soon.\n[01:02 - 01:07] Speaker A: Wow! Another baby on the way? That's amazing news! Congratulations!\n[01:07 - 01:12] Speaker B: Thanks. We're really excited. It's going to be a lot of work, but it'll be worth it in the end.\n[01:12 - 01:19] Speaker A: I'm sure it will be. Well, I'm really happy for you and your family. I'm sure you'll all be great parents.\n[01:20 - 01:22] Speaker B: Thanks, Zhavia. I appreciate that."
+  },
+  {
+    "key": "SODA_PROCESSED--train--366989",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--366989.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, I'm looking for an apartment to rent.\n[00:03 - 00:05] Speaker B: We have a few units available. What is your budget?\n[00:05 - 00:09] Speaker A: I can afford $500 per month.\n[00:09 - 00:15] Speaker B: That's our starting price for a one-bedroom unit. Do you have any other preferences, such as location or amenities?\n[00:16 - 00:20] Speaker A: Sorry to interrupt, but would that price include utilities?\n[00:20 - 00:28] Speaker B: No, utilities are not included in that price. However, we do have some units where utilities are included. Do you have any other preferences?\n[00:28 - 00:32] Speaker A: I would like something close to campus and with utilities included.\n[00:33 - 00:41] Speaker B: We have a few units that meet those criteria. Are you interested in scheduling a viewing today or later this week because our availability tends to fill up quickly during this season?\n[00:36 - 00:40] Speaker A: Yes, I'm definitely interested. Could I see them today?\n[00:42 - 00:47] Speaker B: Of course. I'll show you the units we have available, and you can let me know which one you're interested in.\n[00:47 - 00:48] Speaker A: Thank you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--951661",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--951661.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hey.\n[00:00 - 00:02] Speaker B: Hey. What's up?\n[00:02 - 00:11] Speaker A: I wanted to talk to you about what happened between us last night and how it's been affecting me emotionally ever since. I can't stop thinking about it.\n[00:05 - 00:09] Speaker B: Yeah, I figured we should talk about it. It was pretty intense.\n[00:12 - 00:15] Speaker A: It was intense for me too. I've never felt that way before.\n[00:16 - 00:24] Speaker B: Me neither. I don't know what came over  me during that moment, but I just couldn't hold back my feelings any longer despite knowing we probably should have been more careful.\n[00:25 - 00:31] Speaker A: I think we were just caught up in the moment. We were both feeling so much passion and intensity that it took over.\n[00:32 - 00:36] Speaker B: That makes sense. I've been thinking about it a lot, and I can't stop thinking about you.\n[00:36 - 00:40] Speaker A: I feel the same way. You're all I can think about too.\n[00:40 - 00:41] Speaker B: What do we do now?\n[00:42 - 00:47] Speaker A: I don't know. I guess we just take it one day at a time and see where things go.\n[00:47 - 00:48] Speaker B: That sounds good to me."
+  },
+  {
+    "key": "SODA_PROCESSED--train--188315",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--188315.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: So, Evelyn, what's your story?\n[00:02 - 00:14] Speaker B: Well, I was named after my grandmother. She was a very strong woman, and I always admired her resilience and the way she handled challenges in life with such grace and determination, even during the most difficult times of her life.\n[00:07 - 00:13] Speaker A: That's really cool. I was named after my mother. Do you have any kids?\n[00:15 - 00:18] Speaker B: No, I don't. I always wanted to, but it just never happened for me.\n[00:18 - 00:24] Speaker A: That's really sad. I'm sorry to hear that. I can imagine it must be difficult.\n[00:24 - 00:31] Speaker B: Oh, it's okay. Life just takes us in different directions sometimes. So, what about you? Do you have any kids?\n[00:31 - 00:36] Speaker A: No, I don't have any kids either. But I've always wanted them. Someday, hopefully...\n[00:37 - 00:40] Speaker B: Yeah, hopefully someday we'll both be able to experience the joys of motherhood!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--168398",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--168398.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: I'm sorry to have to say this, but I think our current situation is not working out well. I would like to improve it if possible.\n[00:07 - 00:10] Speaker B: Of course, what do you suggest we do to improve the situation?\n[00:11 - 00:30] Speaker A: Actually, I was thinking that our communication could be better. For example, I often feel like I'm not getting clear instructions from you, and as a result, my work isn't up to your standards. Also, I feel like you're constantly putting me down in front of other people and it's really undermining my confidence.\n[00:30 - 00:59] Speaker B: I see. Well, first of all, I'm sorry if I've been unclear with my instructions. That wasn't my intention. As for putting you down in front of others, that was never my intention either. I just want you to understand that when it comes to your work, there's always room for improvement. However, I appreciate your honest feedback and I'll try to do better in both how I communicate and how I provide constructive criticism by being more mindful of my tone and ensuring my feedback is specific, actionable, and delivered in a supportive manner.\n[00:49 - 01:05] Speaker A: I really appreciate that, and I think it will make a big difference. But I also think it would be helpful if we could set some clear goals and expectations for my work. That way, I would know exactly what you're looking for and I could put all of my effort into meeting those standards.\n[01:05 - 01:10] Speaker B: That sounds like a great idea. Let's sit down and come up with some specific goals for your work."
+  },
+  {
+    "key": "SODA_PROCESSED--train--638647",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--638647.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: I can't believe we're finally here! After all those years of planning and training, we're finally on our way to Venus.\n[00:07 - 00:12] Speaker B: It's amazing, isn't it? I still can't believe that we were chosen for this mission.\n[00:12 - 00:17] Speaker A: It's a once in a lifetime opportunity. And I'm determined to make the most of it.\n[00:17 - 00:23] Speaker B: We'll be the first humans to set foot on Venus. That's pretty overwhelming when you think about the responsibility we have.\n[00:24 - 00:31] Speaker A: Sorry to jump in, but have we double-checked all our equipment for the landing? I just want to make sure everything is ready.\n[00:32 - 00:41] Speaker B: Yes, everything's been checked multiple times. But as I was saying, it's pretty incredible. I know. It's a bit daunting, but also very exciting. I can't wait to see what we find there.\n[00:42 - 00:50] Speaker A: Me too. I'm sure it will be fascinating. But we need to be careful. The environment on Venus is very different from what we're used to on Earth.\n[00:51 - 01:05] Speaker B: I know. But don't worry, I've studied the data and I'm prepared for anything that might come up. Besides, you'll be there with me, so I know we'll be able to face any challenge together and make groundbreaking discoveries that will change our understanding of the universe forever.\n[00:59 - 01:08] Speaker A: Prepared, yes. But are we mentally ready for the isolation? Months away from Earth, with just the two of us—it's something we should seriously consider.\n[01:08 - 01:17] Speaker B: You're right, the isolation is something we've trained for, but experiencing it will be different. Still, I believe we'll manage. I hope so. I don't want anything to happen to you.\n[01:17 - 01:28] Speaker A: Don't worry, I'll be careful. But even if something does happen, it's worth the risk. This is an incredible opportunity and I'm not going to let anything stop me from taking it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--497264",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--497264.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: I'm just so tired, Sarah. I feel like I do everything around here and never get anything done for myself.\n[00:07 - 00:27] Speaker B: You're a perfectionist, Jazleen. You always put 110% into whatever you do and never seem to finish anything for yourself. Maybe you need to learn to relax a little bit and not try to do everything perfectly all the time because constantly striving for perfection can actually be counterproductive and lead to more stress in the long run. It's okay to let things be imperfect sometimes.\n[00:20 - 00:32] Speaker A: But if I don't do things perfectly, then something bad will happen. Like if I don't fold the laundry perfectly, then it won't get clean or something. I know it's not logical, but that's just how I feel sometimes.\n[00:33 - 00:50] Speaker B: Maybe you're just putting too much pressure on yourself. Have you tried taking a break from some of your responsibilities and doing something for yourself? Just for fun? Maybe that would help you  unwind and see things from a different perspective, like going for a relaxing walk in nature or trying out a new hobby that doesn't require perfection.\n[00:50 - 00:59] Speaker A: I feel like if I take a break from my responsibilities, then I'll just get behind and never catch up. But what exactly do you mean by doing something for fun?\n[01:00 - 01:10] Speaker B: Well, you can't keep going at the pace you're going now. You're going to burn yourself out if you don't take a break soon. Just try it for a little while and see how it goes. Who knows, you might actually enjoy it!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--11862",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--11862.wav",
+    "model_output": "[00:00 - 00:17] Speaker A: Sarah, I'm really not sure what I should do. I feel like I need to make a decision, but every time I try to, something holds me back from actually committing to one path, and it's really frustrating because I know this indecision is preventing me from making progress in my career and personal life.\n[00:08 - 00:13] Speaker B: What exactly is holding you back? Is it fear of the unknown, or maybe something else that's making you hesitate?\n[00:18 - 00:37] Speaker A: I think it's a combination of things. There are just so many options, and I don't want to choose the wrong one. What if I make a mistake and regret it  down the line when it's too late to change course and I've already invested significant time and resources into a path that doesn't fulfill me? That thought keeps me from moving forward.\n[00:38 - 00:47] Speaker B: Regret is part of life, Tyesha. But if you don't take any steps forward, you'll never know what could have been. Sometimes, taking a risk is the best way to learn and grow.\n[00:47 - 00:52] Speaker A: You're right. I just need to trust my gut and go with my instinct.\n[00:52 - 00:55] Speaker B: That's the spirit! I know you'll make the right decision."
+  },
+  {
+    "key": "SODA_PROCESSED--train--581770",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--581770.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: Hi, boss. I just wanted to apologize for what happened yesterday. I know I shouldn't have lost my temper like that during our meeting, and it was unprofessional of me to raise my voice when we were discussing the quarterly reports.\n[00:06 - 00:09] Speaker B: Malana, what are you talking about? What happened yesterday?\n[00:13 - 00:38] Speaker A: Uh, well, when I came into your office and you were on the phone, and I could tell you were upset about something. And then you hung up and said that we needed to talk. And I could tell you were angry, so I started apologizing right away. But then you just seemed confused and asked me  why I was apologizing when you hadn't even mentioned anything about my behavior yet, which made me even more flustered and uncertain about the whole situation.\n[00:39 - 00:45] Speaker B: Wait, hold on. Are you sure it was me? I don't remember any of that happening. Are you sure it was yesterday?\n[00:46 - 00:50] Speaker A: Yeah, pretty sure. It was around lunchtime, I think.\n[00:50 - 00:55] Speaker B: Well, I'm sorry, Malana, but I don't remember any of it. Maybe you're mistaken about what happened.\n[00:56 - 01:00] Speaker A: No, I'm sure that's what happened. I was just trying to apologize.\n[01:01 - 01:07] Speaker B: It's okay, Malana. Don't worry about it. If you say it happened, then I believe you. Let's just forget about it and move on."
+  },
+  {
+    "key": "SODA_PROCESSED--train--435477",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--435477.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Mom, I'm old enough to drive. I can take the keys.\n[00:04 - 00:16] Speaker B: No, Janyla. I'm the grown-up here. You're just a teenager, and you don't have enough experience yet to handle the complexities of city traffic and unexpected road situations that even experienced drivers find challenging.\n[00:07 - 00:11] Speaker A: But Mom, I'm responsible. I promise I'll be careful.\n[00:16 - 00:31] Speaker B: No, Janyla. I don't want you driving my car. It's too much responsibility for you right now. Maybe when you're a little older, but  until then, we'll stick to our current arrangement where I drive you places until we both feel more comfortable with your driving skills and judgment.\n[00:32 - 00:35] Speaker A: But Mom! Everyone my age is driving! Why can't I?\n[00:35 - 00:44] Speaker B: Because not everyone your age is responsible enough to handle that kind of responsibility, and I don't want to take that chance with you. I'm sorry, but my answer is no.\n[00:44 - 00:46] Speaker A: Fine. I'll just walk then.\n[00:46 - 00:50] Speaker B: Janyla, it's dark out. You shouldn't be walking by yourself.\n[00:50 - 00:53] Speaker A: I don't care. I'd rather walk than ride with you.\n[00:54 - 00:57] Speaker B: Janyla, don't be like that. Come on, let's go home.\n[00:58 - 01:01] Speaker A: No! I'm not going home with you. I'm walking!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--527126",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--527126.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: Hey, Cherish. I'm starting to work on a new project and I could really use some help. Would you be interested in lending a hand?\n[00:08 - 00:10] Speaker B: Sure, Seneca. What's the project?\n[00:10 - 00:30] Speaker A: It's a bit complicated, but essentially I'm trying to create a detailed map of the world. Every country, every city, every landmark...I want to include it and make it interactive so users can explore different regions with ease while also incorporating real-time data updates and customizable layers for different types of travelers and researchers.\n[00:21 - 00:27] Speaker B: Sorry to jump in, but how are you planning to gather all that information? It sounds like a massive undertaking.\n[00:30 - 00:52] Speaker A: You're right, it is. I was thinking of using a combination of online resources and some specialized databases. But I haven't mentioned the tools I need yet. It's going to be a lot of work, but I think it will be really cool once it's finished. We might need to use some advanced GIS software and perhaps even some AI tools to process the data efficiently.\n[00:52 - 00:59] Speaker B: That does sound like a lot of work. But if you're up for it, I'm happy to help out however I can. What kind of tools are you thinking of using exactly?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--244490",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--244490.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Hey, Sarah. I miss you so much. It's been really hard being here by myself.\n[00:05 - 00:08] Speaker B: I miss you too, Ayansh. How are you holding up?\n[00:08 - 00:25] Speaker A: Not great, to be honest. I feel like I don't belong here anymore. Everything is so different and I don't have any friends here that I can really confide in or spend time with like I used to back home, and it's making me question whether I made the right decision to move here in the first place.\n[00:16 - 00:23] Speaker B: Ayansh, have you tried joining any clubs or activities? Sometimes that can be a good way to meet people who share your interests.\n[00:25 - 00:42] Speaker A: Yeah, I've tried, but it's just not the same as having a friend who really knows me and understands me. Plus, they all seem to have their own cliques and groups that they're already a part of. It's like they don't even see me as an outsider, they just ignore me completely.\n[00:42 - 00:50] Speaker B: Well, maybe it's not them, maybe it's you? Have you considered that maybe you're just not giving them a chance because you're still homesick?\n[00:50 - 01:08] Speaker A: No, I don't think that's it. I mean, I am homesick, but that doesn't mean I'm not trying to make friends here. It's just really hard when everyone seems to already have their own lives and established relationships and I'm just kind of left on the outside looking in, feeling like I don't really belong anywhere.\n[01:08 - 01:18] Speaker B: I get why that feels so isolating. But maybe instead of focusing on the groups, you could try connecting with just one person at a time? Sometimes a smaller connection can lead to bigger friendships.\n[01:19 - 01:24] Speaker A: Yeah, maybe you're right. It's just really hard right now.\n[01:24 - 01:28] Speaker B: I know it is, but like I said, don't give up. Okay?\n[01:28 - 01:29] Speaker A: Okay."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1084179",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1084179.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: I just can't believe this happened. I feel like I can't trust anyone anymore.\n[00:05 - 00:08] Speaker B: I'm sorry to hear that, Elam. Can you tell me what happened?\n[00:08 - 00:23] Speaker A: I was walking home from work last night and someone came up behind me and grabbed my purse. They knocked me to the ground and then took off running before I could react, disappearing into the dark alleyways before anyone could come to my assistance or call for help.\n[00:16 - 00:18] Speaker B: Oh no, are you okay? Did you get hurt?\n[00:24 - 00:30] Speaker A: I'm a bit bruised, but I'll be fine. I didn't get a good look at the person, it all happened so fast.\n[00:30 - 00:32] Speaker B: Did you see who did it?\n[00:32 - 00:37] Speaker A: No, it all happened so fast. I didn't get a good look at the person.\n[00:37 - 00:39] Speaker B: Do you have any idea why they would target you?\n[00:40 - 00:44] Speaker A: No, I don't know why they would do this to me. I haven't done anything wrong.\n[00:45 - 00:49] Speaker B: Do you have any enemies that you can think of? Anyone who might want to hurt you?\n[00:49 - 00:55] Speaker A: No, I don't have any enemies. I can't think of anyone who would want to hurt me like this.\n[00:55 - 01:03] Speaker B: Okay, we'll keep looking into this and see if we can find anything. In the meantime, try to stay safe and maybe avoid walking alone at night if possible.\n[01:03 - 01:10] Speaker A: Just to clarify, did you mean you will be looking into it personally or should I report this to the police as well?\n[01:11 - 01:23] Speaker B: Definitely report it to the police. They might have more resources to help. In the meantime, try to stay safe and  be careful about your surroundings, especially in less populated areas where such incidents are more likely to occur."
+  },
+  {
+    "key": "SODA_PROCESSED--train--545009",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--545009.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, babe. I think we found our new house.\n[00:03 - 00:05] Speaker B: Oh, yeah? Let me see!\n[00:05 - 00:20] Speaker A: It's perfect. Three bedrooms, two bathrooms, and a big backyard with plenty of space for gardening and outdoor activities, plus there's even room for a small play area if we decide to expand our family in the future.\n[00:09 - 00:11] Speaker B: Sounds great! When can we move in?\n[00:20 - 00:27] Speaker A: Sorry to interrupt, but I just thought of something. Did we check if the neighborhood is safe and has good schools?\n[00:27 - 00:38] Speaker B: Yes, I looked into that. The neighborhood has a low crime rate and the schools are highly rated. As I was saying, we can start packing as soon as the paperwork goes through. I just have to make sure everything is in order first.\n[00:39 - 00:49] Speaker A: I can't wait to have our own place again! This time, let's make sure to keep up with the maintenance and repairs so we don't have to deal with any unexpected surprises down the road.\n[00:49 - 00:55] Speaker B: Absolutely. I'll take care of everything. You just focus on packing our things and getting ready for the move.\n[00:55 - 00:57] Speaker A: Thank you, Adelaide. I'm so excited!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--970059",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--970059.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Why are you following me? I'm scared you're going to hurt me.\n[00:04 - 00:15] Speaker B: We're not going to hurt you, we just want to talk to you. We saw you walking home from school and thought you looked like you might need someone to talk to about whatever's been bothering you lately, since you've seemed so distant in class.\n[00:09 - 00:13] Speaker A: But why me? There are plenty of other girls at school.\n[00:16 - 00:19] Speaker B: Sorry, I didn't mean to interrupt. I was just going to say you looked pretty.\n[00:20 - 00:23] Speaker A: Well, I don't want to talk to you. I'm going home.\n[00:23 - 00:31] Speaker B: That's okay, we'll just walk with you  to make sure you get home safely through this neighborhood, especially since it's getting dark out, but we understand if you want us to leave.\n[00:32 - 00:34] Speaker A: No! Leave me alone!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--417260",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--417260.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I can't believe it! I won the Powerball jackpot!\n[00:03 - 00:06] Speaker B: Oh my god, Kayden! Congratulations! That's amazing news!\n[00:07 - 00:18] Speaker A: I know, I still can't believe it myself. It's like a dream come true, you know? I keep checking the ticket over and over just to make sure this isn't some kind of elaborate prank or mistake.\n[00:12 - 00:15] Speaker B: What are you going to do first? Have you already made any plans?\n[00:18 - 00:39] Speaker A: First of all, I'm going to quit my job. I've been working at that place for far too long and I'm ready for a change. Then I'm going to buy a new house and a new car. And after that, I'm going to  make sure my family is taken care of by setting up trust funds for my parents and siblings, as well as donating to several charities that are close to my heart.\n[00:39 - 00:44] Speaker B: Wait, quitting your job? Are you sure you want to make such a big decision right away?\n[00:44 - 00:57] Speaker A: Absolutely, I've thought about it for a long time. But I was saying, after that, I'm going to travel the world. There are so many places I've always wanted to see and now I finally have the means to do it.\n[00:57 - 01:00] Speaker B: That sounds amazing, Kayden. You deserve all this good luck."
+  },
+  {
+    "key": "SODA_PROCESSED--train--595180",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--595180.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Thank you so much for promoting me to head cashier, boss. I really appreciate it.\n[00:05 - 00:20] Speaker B: Don't thank me, Aleeyah. Thank yourself. You've been working hard and doing a great job ever since you started here. We just wanted to recognize your efforts and give you more opportunities to grow within the company by taking on leadership roles and developing your management skills through various training programs we offer.\n[00:13 - 00:23] Speaker A: Speaking of responsibility, I was wondering if there are any specific areas you'd like me to focus on first? I want to make sure I'm prioritizing the right tasks.\n[00:23 - 00:41] Speaker B: That's a great question. One area that could use some immediate attention is the scheduling. We've had a few issues with shifts overlapping or not being covered, so if you could  review the current schedule and make adjustments where necessary while also considering employee availability and business peak hours to optimize our staffing efficiency.\n[00:41 - 00:51] Speaker A: Absolutely, I can start working on the schedule right away. I'll also keep an eye on the cash flow since that's crucial for daily operations."
+  },
+  {
+    "key": "SODA_PROCESSED--train--990528",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--990528.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, I've been wanting to talk to you about something.\n[00:03 - 00:04] Speaker B: What's up?\n[00:05 - 00:07] Speaker A: Well, you know how we've been friends for a while now?\n[00:08 - 00:10] Speaker B: Yeah, of course. What about it?\n[00:10 - 00:24] Speaker A: I just feel like lately we haven't been as close as we used to be and I was wondering if there was something that's been bothering you or if something has changed between us, because I really value our friendship and want to make sure we're on the same page.\n[00:16 - 00:19] Speaker B: Wait, do you mean like something specific happened that made you feel this way?\n[00:25 - 00:32] Speaker A: No, there's nothing specific. I think we're still just as close as ever. Why do you feel like we're not as close?\n[00:33 - 00:37] Speaker B: I don't know. It just feels like we don't talk as much or do things together anymore.\n[00:38 - 00:53] Speaker A: Well, we've both been busy lately. I know I've been really busy with work and you've been busy with school and your extracurricular  commitments like sports and volunteering, so it's understandable that we haven't had as much time to catch up as we'd both probably like.\n[00:54 - 00:59] Speaker B: activities, yeah. I guess that's true. Maybe we just haven't had as much time to hang out.\n[00:59 - 01:05] Speaker A: Yeah, that could be it. I'm sorry for bringing it up. I was just wondering if there was something wrong.\n[01:06 - 01:12] Speaker B: No, it's okay. I'm glad you brought it up. We can definitely try to make more of an effort to hang out and talk more often.\n[01:12 - 01:16] Speaker A: Yeah, that sounds good. Thanks for understanding."
+  },
+  {
+    "key": "SODA_PROCESSED--train--843172",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--843172.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: This dinner was amazing. I'm so full, but it was all delicious, and I couldn't stop myself from eating more because each dish was perfectly seasoned and had such wonderful textures that complemented each other beautifully.\n[00:04 - 00:10] Speaker B: Sorry to interrupt, but I just wanted to say how much I appreciate you saying that. It means a lot to me.\n[00:14 - 00:18] Speaker A: I'm glad you enjoyed it! I had a great time cooking for you.\n[00:18 - 00:21] Speaker B: You're an excellent cook. Everything tasted so good.\n[00:22 - 00:25] Speaker A: Thank you, Kambrie. I'm glad you liked it.\n[00:25 - 00:36] Speaker B: I did. I'm really glad we got to spend some time  catching up and just enjoying each other's company without any distractions or worries about work or other obligations that usually take up our time.\n[00:36 - 00:40] Speaker A: Together, yes, me too. Kambrie, can I ask you something?\n[00:41 - 00:42] Speaker B: Of course, what is it?\n[00:43 - 00:45] Speaker A: How do you feel about relationships?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--439119",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--439119.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi! I'm Aaliyah. What's your name?\n[00:03 - 00:05] Speaker B: Hi, I'm Sarah.\n[00:05 - 00:09] Speaker A: It's nice to meet you, Sarah. What brings you here today?\n[00:09 - 00:19] Speaker B: I'm here to learn more about important issues and to have some meaningful conversations with like-minded people who share my passion for making a positive impact in our communities and beyond.\n[00:12 - 00:20] Speaker A: Sorry to jump in, but when you say 'important issues,' are there specific topics you're particularly interested in?\n[00:20 - 00:30] Speaker B: Definitely! I'm passionate about environmental sustainability and social justice. But I also mentioned I wanted to have some fun—what kind of activities does EventZ offer for that?\n[00:30 - 00:43] Speaker A: We have a variety of activities, like interactive workshops and social events. I created EventZ because I want to improve the world by bringing people together to discuss important issues and have fun.\n[00:43 - 00:47] Speaker B: That sounds amazing! I'm definitely interested in learning more about that.\n[00:48 - 00:55] Speaker A: Yeah, I think it's so important that we talk about these things and try to make a difference. It can be really fun too!\n[00:55 - 01:00] Speaker B: Absolutely. I'm really looking forward to hearing more about what you have to say."
+  },
+  {
+    "key": "SODA_PROCESSED--train--70224",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--70224.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Mama, can I ask you something?\n[00:02 - 00:03] Speaker B: Yes, baby, what is it?\n[00:03 - 00:05] Speaker A: What do you think God is like?\n[00:05 - 00:17] Speaker B: Well, Nathen, I believe that God is a loving and caring being. I believe that he watches over us and guides us through our lives with infinite wisdom and compassion, helping us grow stronger through every challenge we face.\n[00:11 - 00:16] Speaker A: Do you think he watches over everyone, even people who don't believe in him?\n[00:17 - 00:20] Speaker B: Yes, I believe he does. He knows our thoughts and our actions.\n[00:20 - 00:25] Speaker A: So, if he knows everything we do then why do bad things happen to good people?\n[00:25 - 00:40] Speaker B: That's a difficult question to answer, Nathen. I don't know why bad things happen to good people. But I do know that God is with us always. Even in the darkest of times, he is  providing us with strength and comfort through his divine presence and the support of those around us who care.\n[00:40 - 00:46] Speaker A: But, Mama, if God is with us, why can't he stop the bad things from happening in the first place?\n[00:46 - 00:58] Speaker B: That's a very deep question, Nathen. Sometimes, it's hard to understand why things happen the way they do. Remember, I was saying that God protects us. He might not stop all bad things, but he helps us get through them."
+  },
+  {
+    "key": "SODA_PROCESSED--train--209436",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--209436.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, can I read your love letters from Ryan?\n[00:03 - 00:08] Speaker B: Yeah, sure. What do you want to know? I don't mind sharing, but some of it might be a bit personal.\n[00:09 - 00:15] Speaker A: I just want to understand what it is that makes him so special. From reading your letters, maybe I can figure it out.\n[00:16 - 00:18] Speaker B: Okay. Let me know if you have any questions.\n[00:19 - 00:26] Speaker A: In your first letter, you talk about how much you love his sense of humor. Is that still one of the things you love about him?\n[00:26 - 00:45] Speaker B: Absolutely! He always knows how to make me laugh, even when I'm having a bad day. Plus, he's not afraid to be silly and have fun. That's one of the things that first attracted me to his personality. It's rare to find someone who can be both lighthearted and serious when needed, and Ryan balances those qualities perfectly in a way that makes every day with him feel special.\n[00:36 - 00:44] Speaker A: It sounds like he really makes you feel good about yourself. Like you can just be yourself around him and he accepts you for who you are.\n[00:46 - 00:55] Speaker B: Yes! That's exactly it! I don't feel like I have to put on a show or pretend to be someone else with him. He knows all my quirks and imperfections and he still loves me anyway.\n[00:56 - 00:58] Speaker A: That must be really refreshing for you.\n[00:58 - 01:01] Speaker B: It is. I've never felt so comfortable with anyone before.\n[01:01 - 01:09] Speaker A: In your second letter, you talk about how much you admire his ambition and drive. Has that been something that's important to you in a partner?\n[01:10 - 01:20] Speaker B: Yeah, definitely. Ryan is always striving to be better and he's not afraid of hard work. He's motivated and determined, and he knows what he wants in life. I find that really attractive."
+  },
+  {
+    "key": "SODA_PROCESSED--train--343780",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--343780.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, it's okay. I'm here.\n[00:02 - 00:03] Speaker B: I'm scared.\n[00:03 - 00:04] Speaker A: Of what?\n[00:05 - 00:14] Speaker B: I don't know. Everything just feels so weird and out of control, like I can't keep up with anything anymore and it's making me question all my decisions from the past few months.\n[00:08 - 00:19] Speaker A: Uncertain? I get it. But hey, look at me. I'm not going anywhere, alright? We'll figure this out together. Just breathe, okay? In and out. That's it. Good job.\n[00:19 - 00:25] Speaker B: It's just all so overwhelming. I feel like I can't do anything right, no matter how hard I try.\n[00:25 - 00:36] Speaker A: Right now? You don't have to do everything perfectly. You're doing great. I'm proud of you for holding on as long as you have been. We'll get through this together, I promise."
+  },
+  {
+    "key": "SODA_PROCESSED--train--188417",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--188417.wav",
+    "model_output": "[00:00 - 00:21] Speaker A: I'm so sorry. I know I've put you all through a lot, and I feel terrible about it. I'm determined to turn things around though. I need to make some changes in my life so that I can be the person you can all be proud of and someone who can contribute positively to our relationship by being more reliable, communicating better, and showing through my actions that I'm committed to this transformation.\n[00:12 - 00:21] Speaker B: Ebonee, you don't have to worry about making us proud. The most important thing is that you're doing this for yourself. Are you sure you're ready for these changes?\n[00:21 - 00:32] Speaker A: Yes, I am. I know it won't be easy, but I can't keep living like this. I need to get my life back on track, and I really appreciate your support. It means the world to me.\n[00:33 - 00:35] Speaker B: We'll support you every step of the way, Ebonee."
+  },
+  {
+    "key": "SODA_PROCESSED--train--648176",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--648176.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I'm here for you if you need to talk.\n[00:02 - 00:14] Speaker B: Yeah, I'm just feeling a bit overwhelmed lately. Everything seems to be happening all at once and I can't seem to find a way to manage it all effectively while still maintaining my personal relationships and self-care routines.\n[00:08 - 00:15] Speaker A: Sorry to jump in, but when you say \"everything,\" is there something specific that's been weighing on you more than the rest?\n[00:15 - 00:19] Speaker B: It's mostly work. I'm trying to juggle multiple projects, and it's like I can't keep up.\n[00:20 - 00:27] Speaker A: That sounds tough. Do you want to go for a walk with me and the dog? Sometimes getting some fresh air can help clear your head.\n[00:28 - 00:30] Speaker B: Yeah, that sounds good. Let's go.\n[00:30 - 00:33] Speaker A: So, what do you see yourself doing in five years?\n[00:33 - 00:44] Speaker B: I'm not really sure. I want to be doing something that I love, but I'm not sure what that is\n[00:45 - 00:52] Speaker A: I totally get that. But have you thought about what you're passionate about? Maybe that could guide you.\n[00:53 - 00:59] Speaker B: Yeah, I think about it sometimes, but nothing really stands out yet. I'll definitely keep exploring. Thanks for the advice."
+  },
+  {
+    "key": "SODA_PROCESSED--train--265976",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--265976.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: I'm scared of growing old.\n[00:02 - 00:08] Speaker B: There's no need to be scared. Growing old is a natural process that happens to everyone.\n[00:08 - 00:20] Speaker A: But I feel like I've never really taken care of myself and now it's too late to start making changes that could have a significant impact on my long-term health and quality of life as I age.\n[00:13 - 00:23] Speaker B: I understand that feeling, but before we go further, have you ever considered talking to a professional about these concerns? Sometimes, discussing these fears with a therapist can provide a lot of clarity.\n[00:24 - 00:29] Speaker A: That's a good point, but I was going to say that it's too late to start making changes.\n[00:29 - 00:38] Speaker B: It's never too late to start taking better care of yourself. Even if you're in your 60s or 70s, you can still make lifestyle changes that will improve your health.\n[00:38 - 00:39] Speaker A: What should I do?\n[00:39 - 00:57] Speaker B: First, you should focus on eating healthy foods and exercising regularly. These things will help reduce your risk of developing chronic diseases like heart disease, stroke, and diabetes. You should also make sure to get enough sleep and manage stress, as these factors are equally important in maintaining your overall well-being.\n[00:57 - 01:02] Speaker A: I'm worried I won't be able to keep up with all of that. What if I fail?\n[01:02 - 01:15] Speaker B: It's okay to be scared. Change can be difficult. But you don't have to do it all at once. Just take it one step at a time and you'll eventually get there. And remember, seeing your doctor regularly for checkups and screenings can also guide you along the way."
+  },
+  {
+    "key": "SODA_PROCESSED--train--809183",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--809183.wav",
+    "model_output": "[00:00 - 00:15] Speaker A: Hey, I'm sorry I'm late. I know I'm usually punctual, but traffic was a nightmare this morning and I had to take a detour through several side streets due to a major accident on the highway, which added nearly 30 minutes to my commute.\n[00:06 - 00:09] Speaker B: Rashard, you're late again. This is the third time this month.\n[00:15 - 00:29] Speaker A: I know, and I really apologize. The traffic was just awful, and my alarm didn't go off  because I forgot to charge my phone last night after working late, and by the time I realized it, the battery was completely drained.\n[00:30 - 00:34] Speaker B: You need to be more reliable. This isn't the first time you've been late this month.\n[00:34 - 00:38] Speaker A: I understand, and I'll try to be more punctual from now on.\n[00:38 - 00:42] Speaker B: Alright, Rashard. I hope you can make it to work on time from now on."
+  },
+  {
+    "key": "SODA_PROCESSED--train--590679",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--590679.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey Markel, can I talk to you for a second?\n[00:03 - 00:04] Speaker B: Yeah, what's up?\n[00:04 - 00:06] Speaker A: It's about last weekend...\n[00:06 - 00:08] Speaker B: Oh, the party? Yeah, what about it?\n[00:09 - 00:11] Speaker A: I don't know if I should say anything...\n[00:11 - 00:13] Speaker B: You can tell me, I won't judge.\n[00:14 - 00:31] Speaker A: Okay. Well, I was really drunk and I did something that I'm not sure was appropriate or consensual because my memory is fuzzy and I keep replaying the situation in my head trying to understand what exactly happened that night. I feel so confused about it now.\n[00:19 - 00:22] Speaker B: Wait, are you saying you were too intoxicated to consent?\n[00:31 - 00:41] Speaker A: Yeah... We were making out and then he started to touch me down there and I wasn't sure if I wanted to but then he kept going and I just froze up and didn't stop him.\n[00:41 - 00:44] Speaker B: So you didn't want to have sex with him but you didn't say no either?\n[00:45 - 01:05] Speaker A: Right. And now I'm worried that it was rape because I wasn't able to give consent. But at the same time, part of me feels like it was my fault because I didn't  say anything or push him away even though I was uncomfortable, which makes me question whether I somehow gave mixed signals in that moment. I just felt paralyzed in the moment.\n[01:05 - 01:11] Speaker B: No, it's not your fault. Freezing up is a common response in situations like that. Have you talked to anyone else about it?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--894199",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--894199.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: So, what are you afraid of?\n[00:02 - 00:03] Speaker B: I'm afraid of heights.\n[00:03 - 00:16] Speaker A: That's understandable. I'm afraid of them too, especially when I'm up on a high building without any safety harness or proper equipment, which can make the experience even more terrifying and overwhelming.\n[00:06 - 00:09] Speaker B: Really? I thought you were a professional stunt double.\n[00:16 - 00:25] Speaker A: I am, but that doesn't mean I don't get scared sometimes. Performing stunts is always a risk, no matter how experienced you are.\n[00:25 - 00:27] Speaker B: So what made you decide to become a stunt double?\n[00:28 - 00:49] Speaker A: I've always loved action movies and daredevil feats. When I was younger, I used to try to recreate some of the stunts I saw on TV or in movies. Obviously, I never had any professional training or equipment, so most of the time I just ended up hurting myself! But even then, I loved the thrill of it and knew that it was something I wanted to do for a living someday.\n[00:49 - 00:51] Speaker B: And now you're here, doing my stunts for me!\n[00:52 - 01:00] Speaker A: Exactly! It's always a pleasure to work with you, Ayelet. Even though your fears can sometimes make it challenging to get the perfect shot.\n[01:00 - 01:04] Speaker B: Yeah, I guess it must be tough for you to constantly be putting yourself in danger.\n[01:05 - 01:12] Speaker A: It can be, but I love what I do. And I know that you're always grateful for my help, even if you don't always show it.\n[01:12 - 01:17] Speaker B: Of course! I couldn't do this without you, Rylee. You're the best stunt double in the business."
+  },
+  {
+    "key": "SODA_PROCESSED--train--935998",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--935998.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I'm sorry, but I'm going to have to ask you to leave.\n[00:03 - 00:04] Speaker B: What? Why?\n[00:05 - 00:15] Speaker A: I just don't feel comfortable having you around right now, and I need some time to think things over because this situation has been weighing heavily on my mind for quite some time.\n[00:07 - 00:12] Speaker B: Wait, is it something I did? I mean, if I crossed a line, I'd like to know.\n[00:16 - 00:20] Speaker A: No, it's not something specific you did, but I just need some space right now.\n[00:21 - 00:28] Speaker B: But I thought we were  close enough to talk about anything, and I didn't expect this sudden change in our relationship dynamic after all we've been through together.\n[00:28 - 00:33] Speaker A: We are friends, but everyone needs boundaries, and this is one of mine.\n[00:33 - 00:36] Speaker B: Fine. I'll go. But I'm not happy about it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--915430",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--915430.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: So, how's your business doing?\n[00:02 - 00:12] Speaker B: It's going well, thanks for asking. We've been growing steadily and we're starting to expand our operations into new markets across Europe and Asia, which has been an exciting but challenging endeavor for our team.\n[00:06 - 00:14] Speaker A: Sorry to interrupt, but when you say \"growing steadily,\" do you mean in terms of revenue, customer base, or something else?\n[00:14 - 00:22] Speaker B: Mainly in terms of our customer base, but revenue has also seen a consistent rise. How about you? How's your business doing?\n[00:22 - 00:35] Speaker A: It's going good too. We just launched a new product line and it's  gaining a lot of traction in the market, especially among environmentally conscious consumers who appreciate sustainable and high-quality home products.\n[00:36 - 00:40] Speaker B: Oh, what kind of product? I'm curious to know what you've been working on.\n[00:40 - 00:44] Speaker A: It's a line of eco-friendly home goods, and it's doing really well.\n[00:45 - 00:47] Speaker B: Congratulations! That's amazing news."
+  },
+  {
+    "key": "SODA_PROCESSED--train--627283",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--627283.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: So, John, what kind of website are you looking for? Are you looking for something simple and clean, or something more dynamic with interactive features like animated elements, user login capabilities, and real-time data visualization options?\n[00:06 - 00:16] Speaker B: I'm not really sure. I just know that I need a website for my business, but I guess I should think about whether I want it to be more visually appealing or straightforward. What do you suggest?\n[00:16 - 00:35] Speaker A: Okay, well let's start with something simple then and we can always add more features later if you want. Do you have any ideas about what kind of content you would like on your\n[00:36 - 00:47] Speaker B: Actually, before we dive into the content, I was wondering—how much flexibility will I have to update the website on my own? I want to make sure I can easily add new information or photos as my business grows.\n[00:48 - 01:00] Speaker A: Absolutely, that's an important consideration. We can set it up so that you have full control over updates, and we'll make sure it's user-friendly. As for the content, you mentioned basic information and pictures, right?\n[01:01 - 01:05] Speaker B: Yes, just some basic information about my business and maybe some pictures.\n[01:05 - 01:14] Speaker A: That sounds like a good starting point. Why don't we go ahead and put together a basic layout with that information and we can add more details later on?\n[01:14 - 01:17] Speaker B: That sounds great. Thank you so much for your help, Ali!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--559292",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--559292.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Mom, I did it! I made it into middle school.\n[00:03 - 00:13] Speaker B: That's wonderful, Ruben! I'm so proud of you. You've worked so hard and it's paid off. Congratula—I knew you could do it because you've always shown such dedication to your studies and extracurricular activities!\n[00:09 - 00:12] Speaker A: Thanks, Mom. It feels great to finally be here.\n[00:14 - 00:17] Speaker B: So, what's next for you? What do you want to achieve in middle school?\n[00:18 - 00:28] Speaker A: I don't really know. I just want to keep doing well and getting good  grades in all my subjects while also exploring new interests that might help me discover my future career path.\n[00:28 - 00:35] Speaker B: Ruben, speaking of grades, have you thought about joining any clubs or activities? They could really help you stay motivated.\n[00:36 - 00:44] Speaker A: That's a good idea, Mom. I think I might try joining the science club. But like I was saying, I want to keep getting good grades too."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1185164",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1185164.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Sarah! What's up?\n[00:02 - 00:03] Speaker B: Not much, what's up with you?\n[00:04 - 00:20] Speaker A: I'm just getting ready to go on another adventure. I'm thinking about heading out west this summer to explore some new places and get a break from the city, maybe even try some hiking trails I've never experienced before and document everything with my new camera.\n[00:09 - 00:15] Speaker B: Oh, west? That sounds exciting! Are you planning to visit any specific places, like national parks or cities?\n[00:20 - 00:33] Speaker A: Yeah, I was actually thinking of exploring some national parks. I know it's not always easy for you to get away, but I really appreciate your understanding and encouragement even when you can't join me.\n[00:33 - 00:40] Speaker B: I wish I could join you, but I have to stay here and take care of my family. You're always so lucky to be able to travel wherever you want.\n[00:41 - 00:46] Speaker A: Thanks, Sarah. I know it's tough for you, but your support really means a lot to me.\n[00:47 - 00:52] Speaker B: Of course, Efren. You're my best friend. I just want you to be happy and safe on your trip.\n[00:52 - 00:54] Speaker A: I will, Sarah. I promise."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1128813",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1128813.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: I don't know how to wash dishes! I've tried several times, but each time I make a mess. I feel like a failure and wonder why I can't do something so simple that everyone else seems to do effortlessly, especially when I see my younger siblings handling it without any problems at all.\n[00:09 - 00:20] Speaker B: Adaleigh, it's okay. I totally understand how frustrating it can be, but everyone has to learn how to wash dishes at some point in their life. It's not as easy as it looks, but with a little practice, you'll get the hang of it.\n[00:21 - 00:33] Speaker A: Why does everyone else seem to know how to do this but me? Am I just  really bad at these kinds of tasks, or is there something fundamentally different about the way I approach household chores compared to other people?\n[00:33 - 00:43] Speaker B: Of course not! You're not stupid, you're just learning. Everybody starts out feeling like this when they're first learning how to do something new. Just keep trying and you'll get there eventually.\n[00:43 - 00:46] Speaker A: I don't know...I feel like I'm never going to get it.\n[00:47 - 00:58] Speaker B: Adaleigh, remember when you were first learning how to ride a bike? It took you a few tries, but eventually you figured it out. This is just like that. Just keep practicing and you'll get it. I know you can do it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--125527",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--125527.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: I'm so excited for the reunion! I have a great plan to make it the best one with some fun activities and surprises that everyone will love, including a nostalgic photo slideshow, interactive games from our school days, and personalized gifts for each attendee.\n[00:04 - 00:08] Speaker B: What's your plan? I'm curious about how you're going to pull this off.\n[00:16 - 00:25] Speaker A: I've been making a list of all the things we'll need and getting everything ready. I can't wait to see everyone's reaction when they see what I've prepared.\n[00:25 - 00:31] Speaker B: That sounds like a lot of work. Are you sure you're up for it? I mean, organizing everything can be pretty exhausting.\n[00:31 - 00:37] Speaker A: Of course! This is going to be great. Everyone will be so impressed with how well it goes.\n[00:37 - 00:41] Speaker B: I hope so. I know how much you've been looking forward to it.\n[00:41 - 00:45] Speaker A: I have! This is going to be the best reunion ever."
+  },
+  {
+    "key": "SODA_PROCESSED--train--894939",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--894939.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: I can't stop thinking about our child. I feel so guilty.\n[00:03 - 00:13] Speaker B: Why are you feeling guilty? You did what you had to do in that situation and made the best possible decision given the extremely difficult circumstances we were facing at that moment.\n[00:06 - 00:13] Speaker A: I know, but I can't help it. I keep wondering if our child is safe, and if he or she is hungry or scared.\n[00:14 - 00:29] Speaker B: Justice, you need to try and stop thinking about it. Our child is probably fine. And even if he or she isn't, there's nothing we can change by worrying now because the situation is completely out of our hands and we need to focus on healing ourselves and moving forward with our lives.\n[00:29 - 00:40] Speaker A: But how can I just move on without knowing? I mean, what if there's something we missed, some way we could still help? What if this guilt is a sign that we should be doing more?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--201813",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--201813.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hi, I'm looking for a new couch, coffee table, and rug.\n[00:04 - 00:09] Speaker B: Great! We have a wide selection of furniture to choose from. Let me show you some of our couches first.\n[00:09 - 00:10] Speaker A: OK.\n[00:11 - 00:19] Speaker B: We have a variety of styles and colors to choose from. What is your preferred style? Are you looking for something modern, traditional, or maybe something in between?\n[00:20 - 00:26] Speaker A: Sorry, before we get into that, can you tell me if you have any ongoing discounts or promotions?\n[00:26 - 00:33] Speaker B: Yes, we do have some promotions running right now. I was just about to ask about your budget, though. Do you have a specific number in mind?\n[00:34 - 00:37] Speaker A: I'm not really sure. Maybe around $500?\n[00:38 - 00:58] Speaker B: We have some great options within your budget. This couch here is only $499. It's a popular choice because it's very versatile and can be used in many different ways while still maintaining its structural integrity and comfort level over extended periods of use. Plus, the color goes well with almost any decor. Would you like to take a closer look or maybe see how it feels when you sit on it?\n[00:48 - 00:55] Speaker A: Actually, I was also wondering about the durability of this couch. How long does it typically last?\n[00:59 - 01:05] Speaker B: It's made with high-quality materials, so it should last you several years with proper care. Would you like to see it?\n[01:05 - 01:08] Speaker A: Yes, that sounds perfect. I'll take it!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--776571",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--776571.wav",
+    "model_output": "[00:00 - 00:14] Speaker A: So, I've been having this cramp in my right leg for a few days now. It's really starting to bother me, especially when I try to sleep at night and sometimes it even wakes me up with sharp, shooting pains that last for several minutes.\n[00:05 - 00:10] Speaker B: Sorry to interrupt, but have you been doing any physical activity or exercises that might have caused this?\n[00:14 - 00:18] Speaker A: Not really, I've been mostly resting. It's in my calf.\n[00:18 - 00:21] Speaker B: Okay, let me feel it. Is it tender when I press here?\n[00:22 - 00:24] Speaker A: Yes! That's exactly where it hurts!\n[00:24 - 00:36] Speaker B: Well, I think we can definitely help you with that. Massage can help improve blood circulation and loosen up the muscles. We'll start with some Swedish massage and see how it affects the pain before considering any other treatments.\n[00:36 - 00:43] Speaker A: Actually, I was wondering, should I be doing any stretches or exercises to help prevent this from happening again?\n[00:43 - 01:01] Speaker B: Absolutely, we can go over some stretching routines after the massage that might help with that. But as I was saying, if you need more targeted work, we can always do  deep tissue or trigger point therapy later on which would focus specifically on releasing those stubborn knots and tension points that might be contributing to your recurring cramps.\n[01:02 - 01:05] Speaker A: Yes, that sounds great! Thank you so much!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--906513",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--906513.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi Ziya! I'm so glad I found you!\n[00:03 - 00:06] Speaker B: Joya! I'm so happy to see you too! How have you been?\n[00:07 - 00:09] Speaker A: I've been good. I missed you though.\n[00:09 - 00:12] Speaker B: I missed you too. What have you been up to?\n[00:12 - 00:26] Speaker A: Just hanging out with my friends and family. I went for a few walks, but it's not the same without you. We always have such great conversations on our walks and discover new things about each other even after all these years.\n[00:18 - 00:22] Speaker B: Sorry to interrupt, but did you visit any new places on your walks?\n[00:26 - 00:39] Speaker A: No, just the usual spots. But I haven't mentioned that I really wanted to share some of those moments with you  because those places hold special memories for us and I keep imagining what it would be like if you were here right now.\n[00:39 - 00:43] Speaker B: I totally get that. It's always more fun when you're with someone special."
+  },
+  {
+    "key": "SODA_PROCESSED--train--285043",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--285043.wav",
+    "model_output": "[00:00 - 00:18] Speaker A: Well, I have to say that I really enjoyed your book. It was very well-written and interesting. I loved the way you developed the characters and the plot. It was a real page-turner, honestly, with its perfect pacing and unexpected twists that kept me guessing until the very last chapter. I couldn't put it down.\n[00:10 - 00:14] Speaker B: Sorry to jump in, but I'm curious—did any particular character stand out to you?\n[00:19 - 00:27] Speaker A: Oh, definitely. I think the protagonist really resonated with me. The way you portrayed their internal struggles was so relatable.\n[00:27 - 00:32] Speaker B: I'm really glad to hear that! I worked hard on making it as enjoyable as possible.\n[00:32 - 00:42] Speaker A: Yeah, it definitely showed. I'm usually not a huge fan of fiction, but this book really drew me in from the very first chapter. I was hooked.\n[00:42 - 00:47] Speaker B: That's interesting! So, what was it about this book that hooked you despite your usual preferences?\n[00:48 - 00:54] Speaker A: I think it was the suspense and the depth of the characters. It kept me on the edge of my seat the whole time.\n[00:54 - 00:57] Speaker B: I'm glad to hear that! What did you think of the ending?\n[00:57 - 01:06] Speaker A: Hmm. Well, I have to say that I didn't see it coming. But it was a good twist. It left me wanting more, which I guess is the point of a series.\n[01:06 - 01:09] Speaker B: Exactly! I'm glad you enjoyed it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--389182",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--389182.wav",
+    "model_output": "[00:00 - 00:17] Speaker A: Father, I'm not afraid of you anymore. I've grown up and I can see things more clearly now. I know that you're not perfect, but that doesn't mean I have to carry the weight of your expectations on my shoulders anymore because I've learned to set my own boundaries and define my own path in life.\n[00:09 - 00:12] Speaker B: What has changed, Corie? Why are you no longer afraid of me?\n[00:17 - 00:32] Speaker A: I guess I just realized that I don't have to be scared of you. You're not perfect, but that's okay. You're still my father and I want to have a relationship with you that isn't based on fear, but on understanding and mutual respect.\n[00:32 - 00:40] Speaker B: Wait, Corie, before you finish, I just want to say how proud I am of you for coming to this realization. It takes a lot of strength to confront those feelings.\n[00:40 - 00:42] Speaker A: Thank you, Dad. I love you too."
+  },
+  {
+    "key": "SODA_PROCESSED--train--480349",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--480349.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, Evangelina. How are you doing today?\n[00:03 - 00:06] Speaker B: I'm doing alright, Hattie. Just a little hungry.\n[00:06 - 00:17] Speaker A: Oh, yeah? What would you like to eat? Maybe we can grab something together from that new cafe downtown that just opened last week with all the delicious pastries and sandwiches.\n[00:08 - 00:11] Speaker B: Sorry, but are you hungry too? Maybe we can decide together.\n[00:17 - 00:25] Speaker A: I hadn't thought about that, but sure, I'm a bit hungry as well. I don't know. Maybe a sandwich or something.\n[00:25 - 00:29] Speaker B: Okay, what kind of sandwich would you prefer? Do you have any specific cravings?\n[00:30 - 00:34] Speaker A: Actually, I was thinking about a PB&J. What about you?\n[00:35 - 00:39] Speaker B: Hmm, maybe a PB&J sounds good. All right, coming right up."
+  },
+  {
+    "key": "SODA_PROCESSED--train--249372",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--249372.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hey, Mom.\n[00:01 - 00:04] Speaker B: Hey, baby. How did you sleep?\n[00:04 - 00:19] Speaker A: I slept alright. I had a few weird dreams that didn't make much sense, but they were filled with strange landscapes and people I've never met before, all interacting in ways that felt both familiar and completely alien at the same time.\n[00:07 - 00:10] Speaker B: Oh, weird dreams? What were they about?\n[00:19 - 00:23] Speaker A: I'm not sure, but they were kind of random. Other than that, it was good.\n[00:24 - 00:27] Speaker B: That's good, sweetie. Did you have anything you wanted to talk about?\n[00:28 - 00:44] Speaker A: Not really. Just the usual stuff. School, friends, things like  how to handle some of the pressures I'm feeling lately, especially with upcoming exams and trying to balance social life with academic responsibilities while still making time for self-care and personal growth.\n[00:44 - 00:47] Speaker B: Speaking of school, how's everything going with your classes?\n[00:47 - 00:53] Speaker A: It's going okay. I was just going to say friends and things like that have been pretty normal too.\n[00:53 - 00:58] Speaker B: Okay. Well, if you ever want to talk about anything, you know I'm always here for you.\n[00:58 - 01:00] Speaker A: Thanks, Mom. I love you.\n[01:00 - 01:02] Speaker B: I love you too, sweetheart."
+  },
+  {
+    "key": "SODA_PROCESSED--train--397434",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--397434.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Anand, stop laughing. I need to finish this problem before the deadline because my professor expects it first thing tomorrow morning and I still have several complex calculations left to complete.\n[00:02 - 00:07] Speaker B: Sorry, but this is hilarious! What's so serious that you can't even laugh for a second?\n[00:11 - 00:17] Speaker A: I'm trying to focus on this math problem. It's really tricky and I need to concentrate.\n[00:17 - 00:21] Speaker B: Oh, right. Let me know if you need any help or if you want to take a break later.\n[00:22 - 00:34] Speaker A: Actually, could you take a look at this part? I'm not sure if I'm setting up the equation  correctly because the variables seem to be interacting in ways that don't match the examples we studied in class."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1123691",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1123691.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: This is the life. Just you, me, and nature.\n[00:04 - 00:13] Speaker B: Yeah, it's so peaceful out here. I can't believe we live in a world where we're constantly bombarded with noise and activity. It's nice to just get away from it all for a while.\n[00:13 - 00:32] Speaker A: I know what you mean. It's like everything just fades away when I'm out here. All my worries and stress disappear. It's like being in nature resets my mind and helps me find a sense of balance and clarity that's hard to achieve in our fast-paced urban environments with all their distractions and artificial stimuli.\n[00:24 - 00:32] Speaker B: Sorry to jump in, but I totally get that feeling. Do you think there's a specific place that works best for you, or is it just being in nature in general?\n[00:33 - 00:45] Speaker A: It's mostly just being in nature in general, though certain places do have a special vibe. I haven't mentioned yet how hiking specifically can help me feel more connected to the environment and improve my fitness.\n[00:45 - 00:54] Speaker B: Hiking sounds great. But I'm curious, do you think it's something that can be easily picked up by someone who's never really been into outdoor activities before?\n[00:54 - 01:04] Speaker A: Definitely! I think nature has a way of speaking to us and helping us connect with our inner selves. Hiking is a great way to clear your head and just enjoy the moment."
+  },
+  {
+    "key": "SODA_PROCESSED--train--242753",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--242753.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, Jayshawn. How are you today?\n[00:03 - 00:04] Speaker B: I'm good, thank you. How are you?\n[00:04 - 00:08] Speaker A: I'm doing well, thank you. So, what have you been up to today?\n[00:09 - 00:12] Speaker B: Just hanging out with my friends and stuff. What about you?\n[00:12 - 00:28] Speaker A: Oh, not much. Just doing some work around the house and stuff. Hey, I wanted to ask you if you need any help with your school project that's due next week because I remember you mentioned struggling with the research portion and I'd be happy to assist.\n[00:18 - 00:23] Speaker B: Oh, speaking of work around the house, did you manage to fix that leaky faucet you mentioned last week?\n[00:28 - 00:36] Speaker A: Not yet, but it's on my list. Anyway, I noticed that you're having some trouble spelling words and I wanted to help you out with that.\n[00:37 - 00:39] Speaker B: Really? Thank you! That would be great.\n[00:39 - 00:45] Speaker A: Sure, no problem. Let's start with a simple word like 'cat'. C-A-T. Now, you try it.\n[00:46 - 00:48] Speaker B: Okay. C-A-T.\n[00:48 - 00:53] Speaker A: Very good! Now let's try a harder word like 'dog'. D-O-G.\n[00:54 - 00:55] Speaker B: D-O-G.\n[00:56 - 00:58] Speaker A: Excellent! You're doing great!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--861085",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--861085.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, boss. I wanted to talk to you about something.\n[00:03 - 00:04] Speaker B: What's up?\n[00:04 - 00:07] Speaker A: Well, I think there might be a problem with my job.\n[00:08 - 00:08] Speaker B: What do you mean?\n[00:09 - 00:10] Speaker A: I'm color blind.\n[00:11 - 00:21] Speaker B: Oh, wow. I had no idea. How long have you been dealing with this condition and has it affected your ability to perform certain tasks in previous jobs or daily life activities?\n[00:13 - 00:25] Speaker A: Sorry to cut you off, but it's been like this as long as I can remember. It's never been a problem before, but now that I'm working with color-coded materials, it's becoming more of an issue.\n[00:25 - 00:27] Speaker B: Have you talked to anyone else about this?\n[00:28 - 00:40] Speaker A: Just my wife. She was the one who suggested that I talk to  you about this situation, since you've always been supportive of finding solutions to workplace challenges and implementing reasonable accommodations when needed.\n[00:41 - 00:46] Speaker B: I see, and have you thought about any specific accommodations that might help you with the color-coded tasks?\n[00:47 - 00:56] Speaker A: I haven't really thought about specific solutions yet, but maybe we could look into tools or software that could assist with color differentiation."
+  },
+  {
+    "key": "SODA_PROCESSED--train--185307",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--185307.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Oh my god, I can't believe I just did that.\n[00:03 - 00:05] Speaker B: It's not a big deal, don't worry about it.\n[00:06 - 00:20] Speaker A: I'm sorry, it's just that I'm really nervous. This is my first time doing something like this and I don't want to make any mistakes that could affect the outcome because this project means so much to me and I've been preparing for weeks to get everything just right.\n[00:13 - 00:19] Speaker B: Mess it up? I totally get it. But remember, everyone has to start somewhere. What's the main thing you're worried about right now?\n[00:21 - 00:34] Speaker A: Relax, you're going to do fine. Just take a deep breath and focus on what you're doing. You'll be  more confident once you get into the flow of things and realize that you actually know more than you think about this whole process.\n[00:35 - 00:41] Speaker B: Wait, before you continue, can you clarify what exactly you need to focus on? Maybe I can give you some specific advice.\n[00:42 - 00:44] Speaker A: Thanks. I appreciate your help.\n[00:44 - 00:48] Speaker B: No problem, that's what I'm here for. Let me know if you need anything else."
+  },
+  {
+    "key": "SODA_PROCESSED--train--908191",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--908191.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Mom. I wrote a letter to Santa and he wrote back!\n[00:04 - 00:12] Speaker B: Oh, that's so exciting! What did he say in his letter? Did he mention anything about checking his list twice or comment on how well you've been behaving this year?\n[00:06 - 00:09] Speaker A: He said he would try to come on Christmas Eve!\n[00:12 - 00:15] Speaker B: Wow, that's amazing! Have you been good this year?\n[00:16 - 00:21] Speaker A: I think so. I've tried to be extra kind to everyone and help out around the house.\n[00:21 - 00:27] Speaker B: You know, if there's anything you think you could do better, now's the time to make sure Santa knows you're really trying!\n[00:28 - 00:31] Speaker A: I hope so. I really want to see him this year!\n[00:31 - 00:37] Speaker B: I'm sure you will, sweetie. Just keep being good and I'm sure he'll come visit you on Christmas Eve."
+  },
+  {
+    "key": "SODA_PROCESSED--train--484021",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--484021.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Hi, thanks for coming today. I'm really excited to start my yoga journey.\n[00:04 - 00:11] Speaker B: Great! Yoga is a great way to improve flexibility and energy levels. Let's get started with some basic stretches.\n[00:11 - 00:13] Speaker A: Ok, sounds good.\n[00:13 - 00:26] Speaker B: First, we'll do a forward bend. Bend at the waist and touch your toes, or as close as you can get while maintaining a comfortable stretch in your hamstrings and keeping your spine long and relaxed. Don't worry if you can't reach them yet.\n[00:18 - 00:24] Speaker A: Wait, should I be focusing on keeping my legs straight or is it okay if they bend a little?\n[00:26 - 00:40] Speaker B: It's okay if they bend a little, especially if you're just starting out. The important thing is to feel the stretch in your hamstrings. Now, let's move on to a side stretch. Reach your arm up overhead and lean to the side. Hold for 10 seconds and then switch sides.\n[00:40 - 00:45] Speaker A: This is harder than it looks! But I feel my muscles working already.\n[00:45 - 00:58] Speaker B: That's great! Next we'll do a backbend. Lie on your back and put your hands behind your head. Slowly arch your back off the ground until you feel a stretch in your chest and shoulders. Hold for 10 seconds and then gently lower yourself back down to the ground.\n[00:58 - 01:04] Speaker A: Sorry, I just want to make sure—should I be pressing my lower back into the ground before starting the arch?\n[01:04 - 01:19] Speaker B: Yes, exactly! Press your lower back into the ground first to protect your spine, then slowly arch up. After you release, we'll finish up with some deep breathing. Lie on your back and close your eyes. Take a deep breath in through your nose and exhale out through your mouth. Repeat this 10 times."
+  },
+  {
+    "key": "SODA_PROCESSED--train--100933",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--100933.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: Hey, I wanted to send you a gift, but I didn't want it to get lost in the mail. Can I get your address?\n[00:06 - 00:15] Speaker B: Sure, no problem. Let me just grab a pen and a piece of paper so I can carefully write down my complete address with all the necessary details for accurate delivery.\n[00:09 - 00:16] Speaker A: Actually, before you do that, I was wondering—do you prefer getting gifts through mail, or would you rather meet up in person sometime?\n[00:17 - 00:25] Speaker B: Meeting up would be great, but I think mailing it might be easier with our schedules. I was going to say, let me just grab a piece of paper to write it down.\n[00:25 - 00:28] Speaker A: Got it, thanks. So how have you been lately?\n[00:29 - 00:36] Speaker B: I've been good. Just been busy with work and trying to balance everything while still making time for personal projects and social commitments.\n[00:36 - 00:42] Speaker A: Oh, speaking of work, did you ever finish that big project you were telling me about last time?\n[00:42 - 00:56] Speaker B: Yeah, I did! It was a lot of work, but it turned out really well. I was just about to say I've been busy with work and  various other commitments, but that project was definitely the highlight since it allowed me to showcase my skills and creativity in ways I hadn't before.\n[00:57 - 01:00] Speaker A: Oh, you know, just the usual. Work and stuff."
+  },
+  {
+    "key": "SODA_PROCESSED--train--727552",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--727552.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: I need a rifle.\n[00:01 - 00:03] Speaker B: What kind of rifle do you need?\n[00:03 - 00:06] Speaker A: I don't know. Something that will make me feel safe.\n[00:06 - 00:09] Speaker B: We have a lot of different rifles here. What is your budget?\n[00:10 - 00:12] Speaker A: I don't know. A hundred dollars?\n[00:12 - 00:17] Speaker B: We have some good options for under a hundred dollars. Do you want a semi-automatic or bolt action?\n[00:18 - 00:20] Speaker A: I don't know. What's the difference?\n[00:21 - 00:40] Speaker B: A semi-automatic rifle will fire one round per pull of the trigger, while a bolt action rifle requires you to manually chamber each round before firing. Semi-automatic rifles are generally more expensive, but they can be faster to shoot since you don't have to manually load each round and they allow for quicker follow-up shots in case you miss your target the first time.\n[00:34 - 00:39] Speaker A: Sorry to interrupt, but which type would be better for a beginner like me?\n[00:41 - 00:59] Speaker B: For a beginner, a semi-automatic might be easier to handle because you don't have to manually chamber each round. However, bolt action rifles can be more reliable and easier to maintain. I'll take a semi-automatic then  because I think it will be easier for me to use and I want something that's simple to operate when I'm feeling nervous or under pressure.\n[01:00 - 01:03] Speaker A: Oh, and what about the maintenance? Is it complicated?\n[01:04 - 01:15] Speaker B: Maintenance for a semi-automatic can be a bit more involved, but it's manageable with some basic knowledge. We have a few different options in your price range. This one is a good option. It's lightweight and easy to use.\n[01:16 - 01:17] Speaker A: Okay, I'll take it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--302689",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--302689.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: What the hell did you do to my car?\n[00:02 - 00:04] Speaker B: I don't know what you're talking about.\n[00:04 - 00:08] Speaker A: Don't play dumb with me! I saw you spray painting it!\n[00:08 - 00:11] Speaker B: So what if I did? It's not like it's a big deal.\n[00:12 - 00:18] Speaker A: Are you kidding me? This is a brand new car! I just got it last week and now it's ruined because of you!\n[00:19 - 00:23] Speaker B: Well, maybe if you hadn't been such a jerk, I wouldn't have done it in the first place.\n[00:24 - 00:26] Speaker A: Oh, so this is my fault?\n[00:27 - 00:35] Speaker B: Yes, it is! You've been nothing but a jerk to me ever since we started working on that group project together and constantly undermining my ideas while taking credit for my work.\n[00:30 - 00:37] Speaker A: Wait, can you explain what exactly I did to make you feel this way? I thought we were getting along fine.\n[00:37 - 00:42] Speaker B: No, you haven't! You've always treated me like I'm inferior to you and I'm tired of it!\n[00:42 - 00:52] Speaker A: Well, maybe if you actually tried doing something with your life instead of sitting around all day playing video games, you wouldn't be such a disappointment to everyone around you.\n[00:52 - 00:59] Speaker B: Hold on, that's not fair. You know I've been looking for a job and trying to improve my skills. Why are you bringing this up now?\n[00:59 - 01:04] Speaker A: And maybe if you weren't such a stuck up snob, you might actually have some friends!\n[01:04 - 01:07] Speaker B: Screw you! I don't need friends like you anyway!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--564472",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--564472.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, Sarah! How are you doing today?\n[00:03 - 00:04] Speaker B: I'm doing well, thank you. How are you?\n[00:05 - 00:18] Speaker A: I'm good. I was just helping my mom set up for the feast tonight. Have you been to one of these community gatherings before? It's always a lively event with music, dancing, and plenty of delicious homemade dishes to enjoy.\n[00:11 - 00:17] Speaker B: Sorry, just curious—what kind of food do people usually bring? I might want to bring something special if I come.\n[00:18 - 00:26] Speaker A: Oh, people bring all sorts of dishes! From traditional family recipes to simple snacks. But I was going to ask if you've been to one of these before?\n[00:26 - 00:28] Speaker B: No, I haven't. What's it like?\n[00:29 - 00:39] Speaker A: Oh, it's a lot of fun! There's usually music and dancing, and everyone brings food to share. It's a great way to get to know your community better and make new friends.\n[00:40 - 00:43] Speaker B: Neighbors, right? That sounds amazing! I might have to come check it out sometime."
+  },
+  {
+    "key": "SODA_PROCESSED--train--115102",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--115102.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: It's good to see you again, old friend. It's been too long.\n[00:03 - 00:05] Speaker B: I'm glad you're back. I've missed you.\n[00:06 - 00:18] Speaker A: I've missed you too. But I'm happy to see that you're still standing strong despite everything that's happened and maintaining such a positive outlook on life through all these challenges we've faced over the years.\n[00:10 - 00:15] Speaker B: Sorry to cut in, but I just have to ask, how has everything been on your end all these years?\n[00:19 - 00:27] Speaker A: It's been a rollercoaster, honestly. But despite the ups and downs, I'm still here. And I'll be here for as long as you need me.\n[00:28 - 00:33] Speaker B: That's good to hear. I'm not sure how long I'll be staying, but I'll make the most of the time we have together.\n[00:33 - 00:39] Speaker A: Wait, before you finish, I just want to say that however long it is, your presence means a lot to me.\n[00:40 - 00:41] Speaker B: You're always welcome here, Keishawn."
+  },
+  {
+    "key": "SODA_PROCESSED--train--378283",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--378283.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hi, how are you doing?\n[00:02 - 00:06] Speaker B: Hey Lino. I'm doing alright, I guess. Just feeling a little down lately.\n[00:06 - 00:10] Speaker A: Oh, I'm sorry to hear that. What's been going on?\n[00:10 - 00:25] Speaker B: Well, my parents are getting divorced and it's just really hard to see them go through all of this fighting. And on top of that, my grades have been slipping and I'm just feeling really stressed out by everything especially since final exams are coming up soon and I haven't had the mental space to properly prepare for them.\n[00:19 - 00:29] Speaker A: Overwhelmed? I can totally understand that. Divorce is such a tough situation, and when it affects your grades too, it must feel like everything is piling up at once.\n[00:29 - 00:43] Speaker B: Yeah, it's been pretty rough. But I'm trying to stay positive and focus on the good things in my life. Like my friends and family who are supportive and love me no matter what. That helps a lot knowing that I have people who care about me even when things are falling apart in other areas."
+  },
+  {
+    "key": "SODA_PROCESSED--train--251891",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--251891.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: I found this note in your desk. It says you're planning to leave the school. Is that true?\n[00:06 - 00:19] Speaker B: Yes, it is. I'm sorry I didn't tell you sooner, but I've been offered a position at another school and I'm going to start next month. It's a big change, but I'm excited about the new challenges and opportunities that this move will bring to both my career and personal life.\n[00:11 - 00:16] Speaker A: Wait, another school? Why are you leaving? Don't you like teaching here?\n[00:20 - 00:39] Speaker B: It's not that I don't like teaching here. It's just that this other opportunity is a better fit for me professionally. And personally, too - my partner is moving to the city where the other school is, so it makes sense for me to go there as  it will allow us to be together and build our lives in the same place while also giving me access to better resources for my research projects.\n[00:39 - 00:44] Speaker A: But what about us? I'm really going to miss you. You're my favorite teacher ever.\n[00:45 - 00:52] Speaker B: Thank you, Konstantinos. I'm going to miss you too. But I'm sure you'll do great without me. You're a very smart and capable young man.\n[00:53 - 00:56] Speaker A: I don't know. I'm not sure I can make it without you.\n[00:57 - 01:03] Speaker B: Of course you can. You'll be fine. And if you ever need any help, just remember that I'm only a phone call away."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1007774",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1007774.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: So, what brings you here to this school?\n[00:02 - 00:06] Speaker B: I'm actually from out of state. My family moved here a few months ago.\n[00:06 - 00:16] Speaker A: Oh, that's interesting. Where are you from originally? I was wondering if you've had a chance to explore the area yet and how it compares to your hometown.\n[00:09 - 00:16] Speaker B: Sorry to jump in, but do you know if there are any good places around here that remind you of home? Like maybe a spot with a similar vibe?\n[00:16 - 00:28] Speaker A: Well, I was going to say I'm from Florida, and honestly, I haven't found a place that feels exactly like home yet. But there are a few nice parks around. What about you? Where are you from?\n[00:28 - 00:35] Speaker B: I'm from California. But I've only lived here for a year too. So we're both newbies! Do you like it here so far?\n[00:35 - 00:44] Speaker A: Yeah, I do. It's been really great getting to know all the different people and cultures. What about you? Do you like it here in California?\n[00:45 - 00:51] Speaker B: I love it! It's so different from where I'm from. There are so many things to do and see. And the weather is amazing.\n[00:52 - 01:03] Speaker A: Yeah, I can't complain about the weather here. But I do miss the beach  back in Florida, especially the warm ocean breeze and the sound of waves crashing against the shore at night.\n[01:03 - 01:06] Speaker B: Oh, yeah! I miss the beach too. We should go sometime!\n[01:06 - 01:08] Speaker A: That would be great!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--994948",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--994948.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hi, I'd like to deposit this check please.\n[00:03 - 00:19] Speaker B: Sure, let me just take a look at it real quick. (The teller looks at the check and sees that it's for $100.) Looks like everything is in order here. How would you like to deposit this? We can process it into your checking or savings account, or if you'd prefer, we can give you cash for part or all of the amount.\n[00:12 - 00:21] Speaker A: Sorry, before we proceed, I just realized—can you confirm if this deposit will be available immediately or if there's a hold on it?\n[00:21 - 00:31] Speaker B: Oh, good question. Typically, deposits like this will be available within one business day, but it can vary depending on your bank's policies. Now, how would you like to deposit this?\n[00:31 - 00:33] Speaker A: Into my checking account please.\n[00:34 - 00:47] Speaker B: Great, I can do that for you. Just give me a minute to process this. (The teller processes the deposit and hands Leandre a receipt.) There you go, sir. Your check has been deposited into your account. Is there anything else I can help you with today?\n[00:47 - 00:50] Speaker A: No, that's all for now. Thanks for your help!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--28766",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--28766.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey there, old friend. How are you doing today?\n[00:02 - 00:06] Speaker B: I'm doing well, thank you for asking. And yourself, sir?\n[00:06 - 00:11] Speaker A: I'm good, just getting a little bit of work done. You know how it is.\n[00:11 - 00:14] Speaker B: Yes, indeed I do. It's always good to stay busy.\n[00:15 - 00:19] Speaker A: Absolutely! So, what have you been up to lately? Anything exciting?\n[00:20 - 00:37] Speaker B: Oh, nothing too exciting. Just the usual day-to-day stuff. But I did get a chance to help out with a few things around the house the other day which was quite satisfying because I've been meaning to tackle those projects for months and it feels great to finally check them off my to-do list. I finally got around to fixing that broken shelf too.\n[00:27 - 00:32] Speaker A: Sorry to cut in, but did you manage to fix that leaky faucet you mentioned last time?\n[00:37 - 00:44] Speaker B: Oh, yes, I did! It took a bit longer than expected, but it's all sorted now. Anyway, you were asking if there was anything new with me?\n[00:44 - 00:47] Speaker A: Well, actually, I've been meaning to talk to you about something.\n[00:48 - 00:49] Speaker B: Oh? What is it?\n[00:49 - 00:55] Speaker A: I was thinking about retiring soon and I was wondering if you would be interested in taking over my business.\n[00:56 - 00:58] Speaker B: Me, sir? Are you sure?\n[00:58 - 01:10] Speaker A: Absolutely! I wouldn't trust anyone more than you. You've been a loyal and hardworking servant ever since I met you, and I know that you have the potential to be a great master in your own right.\n[01:10 - 01:16] Speaker B: Well, I don't know what to say...Thank you, sir! This is a great honor. I will do my best to make you proud."
+  },
+  {
+    "key": "SODA_PROCESSED--train--526216",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--526216.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey Tyree, how are you doing today?\n[00:02 - 00:06] Speaker B: Hey Beckam! I'm doing well, thanks for asking. How about you?\n[00:06 - 00:10] Speaker A: I'm doing alright. Just hanging out, doing some work.\n[00:11 - 00:12] Speaker B: What kind of work are you doing?\n[00:13 - 00:25] Speaker A: I'm a web developer, so I'm working on some code for a new project that has a tight deadline and requires me to implement several complex features including user authentication and database integration.\n[00:17 - 00:23] Speaker B: Oh, that reminds me—I'm actually looking to update my personal blog. Do you think you could help me with that?\n[00:26 - 00:36] Speaker A: Sure, I can definitely help you with your blog. I was just about to say the website I'm working on is for a client, but I'd be happy to take a look at your blog too.\n[00:37 - 00:40] Speaker B: That sounds really cool! I wish I could do something like that.\n[00:41 - 00:54] Speaker A: It's not too difficult to learn the basics. You just have to be patient and put in the time  to practice regularly, and you'll start to see progress as you build small projects and gradually tackle more challenging concepts.\n[00:54 - 00:58] Speaker B: But what if I get stuck? I feel like I'd need someone to guide me through it.\n[00:58 - 01:07] Speaker A: That's totally understandable. If you ever change your mind or want to give it a try, let me know and I can help you out step by step.\n[01:07 - 01:09] Speaker B: Thanks Beckam, that's really sweet of you!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--165189",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--165189.wav",
+    "model_output": "[00:00 - 00:06] Speaker A: The heat is really getting to me. I feel so exhausted and drained, like I can't muster the energy to do anything.\n[00:07 - 00:14] Speaker B: Sad? I know, the sun is beating down mercilessly and the air is thick and oppressive. It's hard to be happy when it feels like this.\n[00:15 - 00:27] Speaker A: Yeah, I just feel so down. Everything seems pointless in this sweltering heat, and it's hard to stay motivated or even think clearly about simple daily tasks that normally wouldn't bother me at all.\n[00:19 - 00:26] Speaker B: Weather, right? But you know, sometimes a change of scenery or even a cold drink can make a world of difference. Have you tried that?\n[00:28 - 00:31] Speaker A: I guess you're right. Thanks for talking to me, Sarah.\n[00:31 - 00:33] Speaker B: Of course, Kamaya. I love you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--999278",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--999278.wav",
+    "model_output": "[00:00 - 00:12] Speaker A: Coach, I'm really frustrated. I wanted to hit a home run, but I ended up hitting a grounder that barely made it past the pitcher and now I'm worried about letting the whole team down with my performance today.\n[00:06 - 00:16] Speaker B: Melody, I understand the frustration, but can we talk about how you approached that curveball? Maybe there's something we can adjust in your stance or swing.\n[00:16 - 00:20] Speaker A: I know that, but it's just frustrating when I feel like I could've done better.\n[00:21 - 00:28] Speaker B: Melody, remember that everyone makes mistakes. It's how you learn from them that shapes your growth as a player and helps you improve for the next time.\n[00:29 - 00:36] Speaker A: Sorry to cut you off, Coach, but do you really think I'll get another chance soon? I just feel like I keep missing opportunities.\n[00:37 - 00:47] Speaker B: You will, Melody. Opportunities always come around, especially when you keep your head up and keep working hard"
+  },
+  {
+    "key": "SODA_PROCESSED--train--473100",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--473100.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: I'm tired of always being told what to do. I want to be able to make my own decisions and live my life the way I want to.\n[00:07 - 00:12] Speaker B: You're not a child anymore, Zariah. You need to start acting like an adult.\n[00:12 - 00:25] Speaker A: I am an adult! And I should be able to make my own choices without you always telling me what to do, like I'm incapable of thinking for myself or making responsible decisions about my own future and well-being.\n[00:18 - 00:22] Speaker B: But Zariah, some choices are just too risky. You could get hurt if you're not careful.\n[00:26 - 00:30] Speaker A: I can handle myself. I don't need you constantly worrying about me.\n[00:30 - 00:44] Speaker B: Well, somebody has to worry about you. Your father is gone and your mother is preoccupied with her own life. Somebody has to look out for  you, even if you think you don't need it, because family should always be there to support each other through life's challenges and uncertainties.\n[00:44 - 00:53] Speaker A: Look, Rayah, I get that you're concerned, but that doesn't mean you have to control every aspect of my life. I can take care of myself.\n[00:53 - 00:57] Speaker B: I know you can, but sometimes I just can't help but worry about you.\n[00:57 - 01:01] Speaker A: Well, don't. I'm a big boy now and I can take care of myself.\n[01:02 - 01:04] Speaker B: I know. I'm just worried about you, that's all.\n[01:05 - 01:07] Speaker A: Well, don't be. I can take care of myself."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1055385",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1055385.wav",
+    "model_output": "[00:00 - 00:19] Speaker A: Sarah, I was just thinking about how good I am with tools. Do you remember when we were working on that project together and I was able to fix that cabinet door in no time at all? It felt great to solve that problem so quickly and efficiently, especially since we were under such tight deadlines for that renovation project.\n[00:09 - 00:16] Speaker B: Oh, I do remember! But speaking of that, have you thought about taking on more complex projects? Maybe something beyond just fixing things?\n[00:19 - 00:39] Speaker A: Definitely! It's something that I really enjoy doing—working with my hands and being in control of the projects I'm working on. Plus, it's always satisfying to  see how everything comes together in the end, especially when it's something I've built from scratch and can proudly say that I created with my own two hands and skills.\n[00:39 - 00:46] Speaker B: And it must be so rewarding when you see the final product! Do you think you'll continue pursuing woodworking or other DIY projects in the future?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--962013",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--962013.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: You're falling asleep again!\n[00:02 - 00:05] Speaker B: I'm sorry, Isai. I didn't mean to fall asleep.\n[00:05 - 00:09] Speaker A: You always fall asleep when we're supposed to be spending time together!\n[00:09 - 00:12] Speaker B: I'm sorry, Isai. I'll try to stay awake.\n[00:12 - 00:23] Speaker A: It's not like you're trying very hard to stay engaged when we're together and actually participate in meaningful conversations instead of just nodding along absentmindedly.\n[00:14 - 00:17] Speaker B: I really am trying, Isai. It's just that I'm really tired.\n[00:23 - 00:29] Speaker A: Well, maybe if you didn't spend all night playing video games, you wouldn't be so tired during the day!\n[00:29 - 00:32] Speaker B: I'm sorry, Isai. I'll try to limit my game playing.\n[00:33 - 00:46] Speaker A: It's not just the games, Eleanor. You're always on your phone, or watching TV, or  doing something else that distracts you from us when we should be focusing on strengthening our relationship and creating meaningful memories together.\n[00:46 - 00:52] Speaker B: Hold on, Isai, I get it. I know I need to be more present. I'll make a conscious effort to spend more time with you."
+  },
+  {
+    "key": "SODA_PROCESSED--train--730476",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--730476.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey coach. Thanks for giving me a chance to try out for the team.\n[00:04 - 00:16] Speaker B: You're welcome, Melvin. I was impressed with your skills out there today. You've got a lot of potential, and with some refinement, you could be a key player for us this season if you're willing to put in the extra hours of practice and conditioning work.\n[00:08 - 00:16] Speaker A: Coach, before you continue, I wanted to ask—what specific areas do you think I need to improve on to really make an impact on the team?\n[00:16 - 00:28] Speaker B: That's a good question. Your footwork is solid, but I noticed that your endurance could use some work, especially during the last part of the game. We could definitely use someone with your talent on our team. Are you interested in joining?\n[00:28 - 00:31] Speaker A: Absolutely! I would love to join the team."
+  },
+  {
+    "key": "SODA_PROCESSED--train--303363",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--303363.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: So what's up?\n[00:01 - 00:03] Speaker B: Not much, just hanging out. You?\n[00:03 - 00:19] Speaker A: Same here. Just taking everything in and trying to stay aware of my surroundings. There are a lot of people here and it can be a bit overwhelming when you're not used to it, especially with all the noise and constant movement that makes it hard to focus on any one thing.\n[00:10 - 00:17] Speaker B: Overwhelming sometimes, right? I totally get that. Especially when you're in a place with so many unfamiliar faces.\n[00:19 - 00:31] Speaker A: Yeah, I know what you mean. It's important to be aware of your surroundings at all times, especially in crowded places like this. You never know when something could go wrong, and it's better to be safe than sorry.\n[00:32 - 00:41] Speaker B: Happen, exactly. That's why I always try to scan the room and take note of everyone present. It helps me feel more comfortable and prepared if anything were to happen.\n[00:41 - 00:47] Speaker A: Well, you're definitely the most prepared person I know! Thanks for always looking out for me, Koby."
+  },
+  {
+    "key": "SODA_PROCESSED--train--346041",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--346041.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey there! How are you today?\n[00:02 - 00:13] Speaker B: I'm doing well, thank you. Just enjoying the fresh air and the sound of the water as it gently flows over the smooth rocks, creating a soothing melody that perfectly complements this beautiful sunny afternoon.\n[00:04 - 00:09] Speaker A: Sorry to jump in, but by \"enjoying,\" do you mean you're out here for a swim too?\n[00:13 - 00:21] Speaker B: Actually, I was just about to say I'm enjoying the day. But yes, I do love swimming in this stream. It's so peaceful and calming.\n[00:21 - 00:26] Speaker A: It does look like a great place to relax. I might have to try it sometime myself.\n[00:26 - 00:38] Speaker B: Yeah, I highly recommend it. There's just something about being in the water that  helps you disconnect from everything else and truly be present in the moment, feeling weightless and free as the current carries your worries away.\n[00:39 - 00:46] Speaker A: Speaking of water, do you think it's safe to swim here regularly? I'm just curious about the water quality.\n[00:46 - 00:52] Speaker B: Oh, definitely. The water here is clean and refreshing. But I was going to say it makes all your troubles disappear."
+  },
+  {
+    "key": "SODA_PROCESSED--train--601727",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--601727.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: So, tell me more about your language. It's really fascinating.\n[00:03 - 00:17] Speaker B: Well, it's actually quite a simple system of sounds and gestures that we use to communicate more efficiently in situations where verbal communication might be difficult, such as in noisy environments or when precise coordination is required between team members.\n[00:08 - 00:13] Speaker A: Sorry to jump in, but do you find that it's easier to learn than traditional languages?\n[00:17 - 00:32] Speaker B: Definitely, it's much more intuitive. I was about to say that it helps me communicate more effectively with people now  who might have different linguistic backgrounds or even hearing impairments, as the system relies on universal concepts rather than specific vocabulary or grammar rules.\n[00:33 - 00:37] Speaker A: And do you think this method could be adapted for others who struggle with traditional languages?"
+  },
+  {
+    "key": "SODA_PROCESSED--train--186110",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--186110.wav",
+    "model_output": "[00:00 - 00:00] Speaker A: Hi there!\n[00:01 - 00:02] Speaker B: Hey! How are you doing?\n[00:03 - 00:13] Speaker A: I'm doing well, thanks for asking. Just enjoying the nice weather we've been having lately with these perfect sunny days and cool breezes that make outdoor activities so enjoyable.\n[00:07 - 00:13] Speaker B: Sorry to cut in, but I just remembered—did you get a chance to check out that new hiking trail that opened up recently?\n[00:14 - 00:27] Speaker A: Oh, I haven't yet, but I've been meaning to! I like to hike, meditate, and just spend time with loved ones. I find that happiness comes from within and that material possessions are not necessary for a fulfilling life.\n[00:28 - 00:36] Speaker B: That sounds really great! I wish more people thought that way. It's so easy to get caught up in the rat race and forget what's truly important in life.\n[00:36 - 00:48] Speaker A: Absolutely! I think we could all benefit from slowing down and taking a step back every once in awhile to appreciate the simple things in life, like nature and meaningful connections.\n[00:48 - 00:53] Speaker B: Speaking of slowing down, do you have any tips for someone who's just starting to get into meditation?\n[00:54 - 01:08] Speaker A: Definitely! Start small, just a few minutes a day, and focus on your breathing. It's all about consistency, not perfection. Well, it was nice meeting you, Alizay. I hope we can chat again sometime.\n[01:08 - 01:10] Speaker B: Definitely! Have a great day!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--585968",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--585968.wav",
+    "model_output": "[00:00 - 00:15] Speaker A: Just running some errands. I needed to pick up a few things from the store and then I have to head over to the bank to sort out some paperwork before it closes because I've been putting it off for weeks and they keep sending me reminders about updating my account information.\n[00:06 - 00:14] Speaker B: Oh, speaking of errands, did you hear about the new store that just opened downtown? It might be worth checking out if you're already out and about.\n[00:15 - 00:23] Speaker A: I hadn't heard about that. I'll have to look into it, but I was actually saying I need to head over to the post office after the store.\n[00:24 - 00:28] Speaker B: That sounds like a lot of fun. *sarcastically* What are you getting at the store?\n[00:29 - 00:33] Speaker A: Just some food and stuff. You know, the usual groceries.\n[00:33 - 00:36] Speaker B: Do you ever get tired of eating the same old thing all the time?\n[00:36 - 00:43] Speaker A: Yeah, sometimes I do. But it's not like there's anything else to eat, so… *shrugs*\n[00:43 - 00:51] Speaker B: I know what you mean. I get tired of eating the same thing every day too. But sometimes I like to mix it up and try out new recipes or add a twist to old favorites.\n[00:51 - 00:57] Speaker A: Do you have any quick suggestions for that? I've been stuck in a rut lately with my meals.\n[00:57 - 01:04] Speaker B: Absolutely! You could try adding some new spices or even experimenting with different cuisines. It doesn't have to be complicated.\n[01:05 - 01:08] Speaker A: That sounds good. I might have to try that sometime.\n[01:09 - 01:12] Speaker B: Yeah, you should! It's really not that hard, and it can be really fun too.\n[01:13 - 01:16] Speaker A: I'll definitely keep that in mind. Thanks for the advice!\n[01:17 - 01:18] Speaker B: No problem, anytime!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--169891",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--169891.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: Sarah, isn't this view just incredible? I feel so alive up here, like I could stay forever and just soak it all in while watching the sunset paint the mountains in shades of gold and crimson.\n[00:05 - 00:11] Speaker B: Sorry to interrupt, but I just realized—do you think we should bring the others up here sometime? They would love it!\n[00:12 - 00:19] Speaker A: Oh, definitely! They would be blown away by this place. I was just saying how the air is so fresh and invigorating up here.\n[00:20 - 00:26] Speaker B: It's definitely a great place to clear your head. I come up here all the time when I need to think or just be by myself.\n[00:26 - 00:34] Speaker A: I can understand why. It's so peaceful and beautiful. I feel so lucky that we live close enough to come up here whenever we want.\n[00:35 - 00:38] Speaker B: Yeah, it's definitely one of the best things about living in this area."
+  },
+  {
+    "key": "SODA_PROCESSED--train--565509",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--565509.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, are you okay? You're shaking.\n[00:03 - 00:06] Speaker B: Y-yeah, I'm fine. Just a little cold.\n[00:06 - 00:08] Speaker A: Here, let me help you warm up.\n[00:09 - 00:10] Speaker B: T-thanks. I appreciate it.\n[00:11 - 00:14] Speaker A: No problem. I know how it feels to be cold.\n[00:14 - 00:15] Speaker B: You do?\n[00:15 - 00:30] Speaker A: Yeah. I used to get cold a lot when I was younger. My mom would always have to bring out extra blankets and make me hot cocoa with extra marshmallows while telling me stories about her own childhood winters to distract me from the chill.\n[00:21 - 00:24] Speaker B: I also hope it can be like this now.\n[00:30 - 00:34] Speaker A: She would hug me close and rub my back until I felt warm again.\n[00:35 - 00:36] Speaker B: That sounds really nice.\n[00:36 - 00:40] Speaker A: Yes, it was. She was always there for me when I needed her."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1025535",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1025535.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: Hey boss, I've been thinking about the new project and I have some ideas I wanted to share with you about how we could potentially improve our approach to the customer journey by implementing more personalized touchpoints and analyzing behavioral data to create a truly seamless experience.\n[00:04 - 00:15] Speaker B: Sorry to jump in, but before we dive into new ideas, do we have a clear understanding of the current project's scope and objectives? I just want to make sure we're aligned before we consider any shifts in approach.\n[00:16 - 00:47] Speaker A: Absolutely, and that's actually part of why I'm suggesting this. If we focus on the customer's needs and wants, it could help us better define the project scope and objectives. Instead of starting with the product itself, I think we should take a step back and look at the entire customer experience from initial awareness through post-purchase satisfaction to identify key opportunities for improvement.\n[00:42 - 00:50] Speaker B: —focus on the customer's perspective first, right? That makes sense. Do you think we need to gather more customer feedback before we proceed?\n[00:51 - 01:02] Speaker A: Exactly, gathering more customer feedback would be crucial. By understanding what they're looking for, we can create a product that not only meets their needs but exceeds their expectations."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1004891",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1004891.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: We just need to ask you a few questions, Farrah. You're not under arrest or anything, we just want to get some information from you.\n[00:08 - 00:11] Speaker B: I don't know what you want me to tell you. I didn't do anything wrong.\n[00:11 - 00:29] Speaker A: Can you just answer the questions please? We'll try to make this as quick and painless as possible. Just tell us what happened that night. You were at the party, right? What did you see? Who did you talk to during the evening and can you describe any particularly interesting conversations you might have had with other guests?\n[00:23 - 00:28] Speaker B: I didn't really see anything. I was just talking to people and then I left. That's all I remember.\n[00:29 - 00:32] Speaker A: Farrah, please. This is important. We need your help.\n[00:33 - 00:37] Speaker B: I don't know what you want me to say! I didn't see anything, I swear!\n[00:37 - 00:52] Speaker A: Fine. If you're not going to cooperate, we'll have to take you down to the station and hold you for questioning. Maybe that will jog your  memory about specific details from that night including who you interacted with and what time certain events might have occurred.\n[00:52 - 00:57] Speaker B: No, no, I'll talk! I'll tell you what happened! Just don't take me to the station, please!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--179580",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--179580.wav",
+    "model_output": "[00:00 - 00:01] Speaker A: Hey, Pippa. How are you doing?\n[00:02 - 00:10] Speaker B: I'm doing alright. Just a little overwhelmed with everything going on lately between school, work, and trying to keep up with all my responsibilities at home.\n[00:04 - 00:09] Speaker A: Tired, huh? You want to lie down for a bit? I can keep an eye on you.\n[00:10 - 00:12] Speaker B: That would be great, thanks.\n[00:13 - 00:15] Speaker A: No problem, sis. Anything for you.\n[00:16 - 00:17] Speaker B: Hey, Milani?\n[00:17 - 00:18] Speaker A: Yeah?\n[00:18 - 00:22] Speaker B: Do you think our parents are ever going to work things out and find a way to be happy again?\n[00:22 - 00:29] Speaker A: Stop fighting? I don't know, Bren. I hope so. They love each other, they just have a lot of stress right now.\n[00:29 - 00:34] Speaker B: It's just really hard to see them like this all the time. They used to be so happy.\n[00:34 - 00:41] Speaker A: I know. But things will get better, I promise. Just try and focus on the good times for now, okay?\n[00:41 - 00:44] Speaker B: Yeah... okay. Thanks, Milani."
+  },
+  {
+    "key": "SODA_PROCESSED--train--677446",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--677446.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: I'm such a klutz! I can't believe I just tripped over my own shoelaces again! I really need to start double-knotting them or maybe even switch to shoes with velcro straps to avoid these embarrassing situations in the future.\n[00:03 - 00:04] Speaker B: Are you okay?\n[00:13 - 00:17] Speaker A: Yeah, I'm fine. Just embarrassed as usual.\n[00:17 - 00:23] Speaker B: Don't worry about it. We've all been there before. Where are you trying to head to, anyway? Maybe I can help you find your way.\n[00:24 - 00:29] Speaker A: I'm not really sure. I was just walking around and got turned around somehow.\n[00:29 - 00:38] Speaker B: Well, let's try and retrace your steps then. Where was the last place you remember being before you got lost? Maybe that can help us figure out where you need to go.\n[00:38 - 00:43] Speaker A: Um...I think it was the grocery store? But I'm not sure. Everything looks so different now.\n[00:43 - 00:53] Speaker B: Okay, well the grocery store is only a few blocks away. Let's start walking that way and see if we can find it again. Hopefully someone there will be able to help us out if we're still lost after that.\n[00:54 - 00:59] Speaker A: Alright. Sounds like a plan. Thanks for your help, I really appreciate it.\n[00:59 - 01:02] Speaker B: No problem! That's what friends are for."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1113674",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1113674.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: It's really great to meet you, Sarah. What do you do?\n[00:04 - 00:05] Speaker B: I work in marketing.\n[00:05 - 00:10] Speaker A: That sounds like a really interesting field. What do you like most about it?\n[00:10 - 00:26] Speaker B: I love the challenge of creating campaigns that will resonate with people and get them to take action. It's always exciting to see how people respond to what we put out there, especially when it sparks a conversation or drives engagement across multiple platforms and demographics, leading to measurable business results.\n[00:19 - 00:25] Speaker A: Speaking of responses, have you ever had a campaign that didn't go as expected? How did you handle that?\n[00:26 - 00:38] Speaker B: Oh, definitely. Not every campaign is a hit. When something doesn't work, we analyze the data, figure out what went wrong, and adjust our strategy. But I was going to say, it's really satisfying when a campaign does resonate with the audience.\n[00:39 - 00:47] Speaker A: That makes sense. It must be rewarding to see your hard work pay off. Do you have any favorite campaigns that you've worked on?\n[00:47 - 01:01] Speaker B: Oh, there are so many! But one that comes to mind is a campaign we did for a new product launch. We had to come up with a way to get people interested in trying something completely new, and I think we succeeded. The product ended up being a huge success.\n[01:01 - 01:07] Speaker A: That's amazing! I'm sure you were a big part of that. What was your role in the campaign?\n[01:07 - 01:17] Speaker B: I was in charge of the social media aspect of it. I created some ads and posts that ended up getting a lot of attention. It was a lot of work, but it was worth it in the end.\n[01:17 - 01:22] Speaker A: That sounds like an incredible accomplishment. I'm sure you're very proud of it."
+  },
+  {
+    "key": "SODA_PROCESSED--train--746047",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--746047.wav",
+    "model_output": "[00:00 - 00:07] Speaker A: Jakhari, I need to tell you something. It's really important and I trust you not to share it with anyone else.\n[00:07 - 00:09] Speaker B: Of course, Lawson. What is it?\n[00:09 - 00:28] Speaker A: I'm worried about my mom. She's been really sick lately and the doctors don't know what's wrong with her. They've run a lot of tests but they can't find anything conclusive despite all their efforts, and her symptoms keep getting worse which makes me think they might be missing something serious that requires immediate attention.\n[00:18 - 00:25] Speaker B: Wait, Lawson, have they considered getting a second opinion from a specialist? Sometimes a fresh perspective can make a difference.\n[00:28 - 00:36] Speaker A: That's a good idea. I think my dad mentioned it, but we haven't decided yet. I'm just really scared that something might happen to her.\n[00:37 - 00:49] Speaker B: Oh, Lawson, I'm so sorry. That must be really tough for you. I can't even imagine how you must be feeling. But you know that your mom is a fighter and she's going to beat this whatever it is. And we're all here for you, no matter what happens. Okay?\n[00:50 - 00:54] Speaker A: Yeah. Thanks, Jakhari. I needed to hear that.\n[00:54 - 00:55] Speaker B: Of course, anytime."
+  },
+  {
+    "key": "SODA_PROCESSED--train--296467",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--296467.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: I can't believe I dropped my phone.\n[00:02 - 00:03] Speaker B: Let me take a look.\n[00:04 - 00:16] Speaker A: There's a crack in the screen. Do you think it's expensive to get it fixed at one of those specialized repair shops, or should I just consider upgrading to a newer model since this one is already two years old?\n[00:08 - 00:13] Speaker B: Probably. But before you worry about that, you should get a case for it so it doesn't happen again.\n[00:17 - 00:20] Speaker A: Yeah, good idea. Did you check the time?\n[00:20 - 00:29] Speaker B: Yeah, I was just about to leave for my  appointment with the dentist downtown, but I can stay a bit longer if you need help with finding a good repair service or anything else.\n[00:29 - 00:35] Speaker A: Wait, before you go, do you want me to call the repair shop and ask about the cost?\n[00:35 - 00:40] Speaker B: That would be great, thanks. Okay, have a good meeting. I'll see you later tonight.\n[00:40 - 00:41] Speaker A: Alright, love you.\n[00:42 - 00:43] Speaker B: Love you too."
+  },
+  {
+    "key": "SODA_PROCESSED--train--580598",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--580598.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Wow, these tombstones are really old.\n[00:02 - 00:04] Speaker B: Yeah, they're from the 1800s.\n[00:05 - 00:17] Speaker A: Wow, I wonder what life was like back then, without all the conveniences we take for granted today, like electricity, running water, or even basic medical care that we can access so easily now.\n[00:07 - 00:12] Speaker B: You know, I was just thinking—how did they even manage without all the technology we rely on today?\n[00:18 - 00:28] Speaker A: Well, it was a lot different than it is now. For one thing, there wasn't as much technology back then. People had to do things by hand instead of using machines.\n[00:29 - 00:30] Speaker B: That must have been really hard!\n[00:31 - 00:55] Speaker A: Yeah, it was definitely more difficult in some ways. But in other ways, it was simpler too. People didn't have all the distractions that we have now with technology and social media and everything else. They probably had more time to enjoy life and  focus on the things that really mattered to them, like family and close-knit communities, which might have led to deeper personal connections and a stronger sense of belonging.\n[00:56 - 01:02] Speaker B: Speaking of enjoying life, do you think they had more meaningful relationships without all the digital communication we have today?\n[01:03 - 01:19] Speaker A: They might have. Without the constant buzz of notifications, they probably focused more on face-to-face interactions and community. But I was also going to say they likely appreciated nature more as well, spending time outdoors in ways we might not prioritize today."
+  },
+  {
+    "key": "SODA_PROCESSED--train--1182464",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1182464.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Agh! I just dropped this plate and it shattered, and I think I'm bleeding.\n[00:04 - 00:05] Speaker B: Let me take a look.\n[00:06 - 00:07] Speaker A: It really hurts.\n[00:07 - 00:19] Speaker B: Okay, let's get you to the bathroom so we can clean it up and see how bad it it is. We need to make sure there's no glass stuck in the wound and properly disinfect the area to prevent any potential infection.\n[00:11 - 00:13] Speaker A: Do you think I'll need stitches?\n[00:19 - 00:26] Speaker B: We'll see once we clean it up. Sarah helps Abril to the bathroom and cleans his wound. After examining it, she says,\n[00:26 - 00:34] Speaker A: Well, the cut isn't too deep, but you're going to need a couple of stitches. I'll call the doctor and see if we can come in today.\n[00:34 - 00:43] Speaker B: Ugh, this is so annoying. I was just getting ready to  finish my project before the deadline and now this accident is going to set me back by at least a couple of hours if not more.\n[00:44 - 00:52] Speaker A: I know it's frustrating, but your health is more important right now. Don't worry about dinner, I'll take care of it. You just focus on getting better."
+  },
+  {
+    "key": "SODA_PROCESSED--train--869455",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--869455.wav",
+    "model_output": "[00:00 - 00:11] Speaker A: I'm going to pick up some money because I want to pay for my family's trip to the park and make sure we have enough for tickets, food, and maybe even some souvenirs if there's any left over.\n[00:12 - 00:15] Speaker B: How are you going to get that much money? Do you have a plan?\n[00:15 - 00:25] Speaker A: I'm going to ask my mom if she can lend me some money since she's always been supportive of our family outings and understands how important these moments are for us.\n[00:25 - 00:27] Speaker B: Why don't you just use your allowance?\n[00:28 - 00:39] Speaker A: My allowance isn't enough. I need to get at least $50 so we can all go and enjoy the full experience without worrying about running short on funds halfway through the day.\n[00:39 - 00:51] Speaker B: That's a lot of money. Are you sure your mom will agree to give you that much considering how expensive everything is these days? Maybe you should consider other options like doing extra chores or finding a small weekend job to earn the difference.\n[00:42 - 00:54] Speaker A: She said she would if I really needed it. Besides, it's not like I'm asking for a new car or anything. Just some money for the park which will create wonderful memories for our whole family that we'll cherish forever."
+  },
+  {
+    "key": "SODA_PROCESSED--train--69581",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--69581.wav",
+    "model_output": "[00:00 - 00:04] Speaker A: Thank you so much for this opportunity. I'm really excited to start working here.\n[00:05 - 00:13] Speaker B: We're glad to have you on board. I think you'll be a great addition to our team, especially given your experience in this field and the fresh perspective you bring from your previous projects.\n[00:08 - 00:17] Speaker A: Sorry to jump in, but I wanted to ask—what are the immediate priorities for the team right now? I want to make sure I can hit the ground running.\n[00:17 - 00:28] Speaker B: That's a great question. We're currently focusing on streamlining our financial reporting process. I was about to say you'll be a great addition to our team, especially with your background in analytics.\n[00:28 - 00:34] Speaker A: I'm really looking forward to contributing to that. Streamlining processes is something I'm passionate about.\n[00:35 - 00:43] Speaker B: Great. I think you'll find that our accounting department is a great place to work. We're always looking for ways to improve and become more innovative in our approach.\n[00:43 - 00:53] Speaker A: Efficient, right? I was actually wondering if there are any specific tools or software you use that I should familiarize myself with before getting started?\n[00:53 - 01:00] Speaker B: Yes, efficiency is key for us. We primarily use SAP and QuickBooks, so getting up to speed on those would be really helpful.\n[01:01 - 01:06] Speaker A: That sounds like a really good environment to be in. I'm excited to help out however I can.\n[01:07 - 01:10] Speaker B: Excellent. I think you'll fit in well here. Welcome aboard!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1073790",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--1073790.wav",
+    "model_output": "[00:00 - 00:15] Speaker A: Don't worry, I fixed it. The pedal just came off and the chain was tangled, but I got it all straightened out and back in place with some basic tools I always carry in my repair kit for situations exactly like this one. We're good to go now.\n[00:06 - 00:10] Speaker B: Thank goodness! I was starting to get a little worried. How did you manage to fix it so quickly?\n[00:15 - 00:26] Speaker A: It wasn't too complicated. I just had to stay calm and think about what needed to be done. I'm not going to let a little thing like that stop me from finishing this race.\n[00:26 - 00:31] Speaker B: You're really something, Alexavier. I don't know anyone else who could have handled that without panicking.\n[00:31 - 00:36] Speaker A: It's no big deal, really. Anyone could have done it if they just kept calm and focused.\n[00:37 - 00:40] Speaker B: Well, I'm glad you were the one who did it. You're amazing!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--421778",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--421778.wav",
+    "model_output": "[00:00 - 00:05] Speaker A: Hey, Abbigayle. I'm looking for a new roommate and I think you would be a great fit.\n[00:05 - 00:11] Speaker B: Thank you, Shanti. I appreciate your offer and I would love to discuss this further. I've been looking for a new place as well.\n[00:12 - 00:22] Speaker A: Sorry to jump in, but before we go further, I just wanted to ask—what's your current living situation? Are you looking to move in immediately, or do you need some time?\n[00:22 - 00:29] Speaker B: Oh, good question! I'm currently living with a friend, but she's moving out in a couple of weeks, so I'd be ready to move in pretty soon after that.\n[00:30 - 00:37] Speaker A: Awesome! I think we'll get along great. Let me know if you have any questions about the apartment or anything else.\n[00:37 - 00:40] Speaker B: Thanks, Shanti. I'll definitely let you know if I have any questions.\n[00:41 - 00:44] Speaker A: So, Abbigayle, tell me a little about yourself.\n[00:44 - 01:00] Speaker B: Well, I'm originally from Spain. I moved to the United States about five years ago. I'm an artist and I love painting and experimenting with different mediums like acrylics, watercolors, and even digital art, which allows me to blend traditional techniques with modern technology.\n[00:51 - 01:01] Speaker A: Sculpting, right? That's amazing! I actually have some empty wall space in the apartment that could really use some art. Would you be interested in displaying some of your work?\n[01:02 - 01:07] Speaker B: I'd love to! That sounds like a great idea. I could bring over a few pieces for you to check out.\n[01:07 - 01:10] Speaker A: That would be perfect. I can't wait to see them!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--4955",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--4955.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: I'm so sick of looking for a new place to live. I've been searching for weeks and I still haven't had any luck finding something that meets all my needs, especially when it comes to having enough space for my home office and being within walking distance of public transportation.\n[00:06 - 00:13] Speaker B: Sorry to interrupt, but have you been focusing more on online searches or visiting places in person? Sometimes that can make a difference.\n[00:16 - 00:23] Speaker A: I've looked online and in person, but most of the places I've seen are either too expensive or too far away from my job.\n[00:24 - 00:28] Speaker B: That's definitely a problem. Have you thought about moving to a different area?\n[00:28 - 00:36] Speaker A: I don't really want to move to a different area. I like where I live now, but I just can't find anything that's suitable for me.\n[00:36 - 00:41] Speaker B: Well, have you considered renting an apartment instead of continuing to look for a house?\n[00:41 - 00:49] Speaker A: Renting an apartment? I hadn't really thought about that, but it might be worth considering. Do you know of any good apartments in the area?\n[00:50 - 00:55] Speaker B: Actually, I do know of a few apartments that might be perfect for you. I'll send you the information and you can take a look.\n[00:56 - 00:58] Speaker A: That would be great, thank you!"
+  },
+  {
+    "key": "SODA_PROCESSED--train--153526",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--153526.wav",
+    "model_output": "[00:00 - 00:03] Speaker A: Hey, Sarah. How are you doing today?\n[00:04 - 00:06] Speaker B: I'm doing well, thanks. How about you?\n[00:06 - 00:09] Speaker A: I'm good. Just enjoying my day off from work.\n[00:10 - 00:11] Speaker B: What did you do with your day?\n[00:12 - 00:24] Speaker A: I went shopping and then got lunch at a really nice restaurant. It was so delicious! Now I'm just thinking about what to do next, maybe watch a movie or read a book while enjoying this beautiful weather we're having today.\n[00:18 - 00:22] Speaker B: Oh, where did you go for lunch? I'm always looking for new places to try.\n[00:25 - 00:32] Speaker A: I went to that new Italian place downtown. The pasta was amazing! Now I'm just relaxing at home.\n[00:32 - 00:36] Speaker B: That sounds like a great day! I wish I could have done something like that today.\n[00:36 - 00:50] Speaker A: Well, maybe we can go shopping together sometime soon! I'd love to treat you to lunch at a nice  little café I discovered recently that has the most amazing homemade desserts and a cozy atmosphere perfect for catching up.\n[00:50 - 00:56] Speaker B: That would be awesome! But wait, do you think we should make a reservation in advance? Some places get really busy.\n[00:57 - 01:04] Speaker A: Good point! We should definitely make a reservation. I was going to say a nice restaurant, but we can plan the details later."
+  },
+  {
+    "key": "SODA_PROCESSED--train--115625",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--115625.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hi, I'm looking for a room for the night.\n[00:03 - 00:06] Speaker B: Sure, we have a few available. How many people will be staying in the room?\n[00:07 - 00:08] Speaker A: Just me.\n[00:08 - 00:19] Speaker B: Okay, that will be $60 for the night, including taxes and fees, and you'll also have access to our complimentary breakfast buffet which is served from 6 AM to 10 AM every morning.\n[00:11 - 00:13] Speaker A: Oh, by the way, do you accept credit cards?\n[00:20 - 00:21] Speaker B: Yes, we do. Here you go.\n[00:22 - 00:26] Speaker A: Thank you. Do you need help with your luggage? I can assist you if needed.\n[00:27 - 00:29] Speaker B: Actually, could you tell me what time check-out is?\n[00:29 - 00:34] Speaker A: Check-out is at 11 AM. And no worries, I got it. Thanks.\n[00:35 - 00:37] Speaker B: Here's your key. Your room is down the hall to the left.\n[00:38 - 00:39] Speaker A: Alright, thanks."
+  },
+  {
+    "key": "SODA_PROCESSED--train--403051",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--403051.wav",
+    "model_output": "[00:00 - 00:16] Speaker A: Hey, Mahnoor. I'm really sorry about getting you hooked on crack. I can see how much you're struggling and I know it's all my fault for introducing you to it in the first place, especially when I knew how dangerous and addictive this substance could be from personal experience.\n[00:08 - 00:14] Speaker B: It's not your fault, Chayse. I made the choice to try it and I'm the one who's responsible for my own addiction.\n[00:16 - 00:28] Speaker A: But if I hadn't gotten you started, you wouldn't be in this  situation where you're battling addiction every single day, and I can't stop thinking about how different things might have been if I'd just said no when you asked.\n[00:29 - 00:34] Speaker B: You can't blame yourself for my addiction, Chayse. I take responsibility for my own choices and actions.\n[00:35 - 00:38] Speaker A: I know, but I can't help but feel guilty.\n[00:39 - 00:46] Speaker B: Guilt won't help either of us, Chayse. What's done is done. We need to focus on the present and what we can do to make things better.\n[00:46 - 00:49] Speaker A: You're right, Mahnoor. I'm sorry.\n[00:49 - 00:52] Speaker B: It's okay, Chayse. Let's just try to move forward from here."
+  },
+  {
+    "key": "SODA_PROCESSED--train--931585",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--931585.wav",
+    "model_output": "[00:00 - 00:13] Speaker A: I don't really see the appeal anymore. I mean, they're just so childish and lacking in depth for me these days, especially when compared to more mature forms of entertainment that offer complex narratives and meaningful character development.\n[00:04 - 00:09] Speaker B: Childish? But isn't that part of the fun? It's a great way to relax and have some fun.\n[00:14 - 00:19] Speaker A: I guess you have a point there. But I just don't think I'm interested in playing them as much as I used to.\n[00:20 - 00:27] Speaker B: Wait, before you finish that thought—what if we tried a different type of game? Something more challenging or strategic? Maybe that would change your perspective.\n[00:27 - 00:34] Speaker A: Hmm, maybe. But right now, they just seem so pointless and juvenile. I'd rather do something else with my time.\n[00:35 - 00:41] Speaker B: Well, if you don't like them, you don't have to play them. But who knows, maybe someday you'll change your mind and give them another try."
+  },
+  {
+    "key": "SODA_PROCESSED--train--536240",
+    "audio_url": "/root/autodl-tmp/output_overlapslong/newoverlapjson/overlap5s700/SODA_PROCESSED--train--536240.wav",
+    "model_output": "[00:00 - 00:02] Speaker A: Hey, I've been trying to call you for days.\n[00:03 - 00:05] Speaker B: Hey, sorry, I've been really busy. What's up?\n[00:06 - 00:15] Speaker A: I just wanted to talk to you about something that's been on my mind lately regarding my career path and personal growth, and I really value your perspective on these matters.\n[00:08 - 00:12] Speaker B: Wait, before you continue, is everything okay? You sound a bit off.\n[00:16 - 00:20] Speaker A: It's just that I'm feeling really down lately and I needed someone to talk to.\n[00:21 - 00:24] Speaker B: Of course, Spencer. I'm always here for you. What's going on?\n[00:25 - 00:32] Speaker A: It's just that life feels really overwhelming lately. I don't know how to make it any better or where to even start.\n[00:32 - 00:36] Speaker B: Overwhelming? Do you mean work, personal stuff, or just everything in general?\n[00:36 - 00:41] Speaker A: A bit of everything, honestly. That's what's making it so hard to pinpoint what to do next.\n[00:42 - 00:47] Speaker B: That sounds tough. I'm here for you, though. We'll figure it out together, okay?"
+  }
+]
\ No newline at end of file
diff --git a/ms-swift/silence_overlaps/700/train/silence_isoverlaps_train.json b/ms-swift/silence_overlaps/700/train/silence_isoverlaps_train.json
new file mode 100644
index 0000000000000000000000000000000000000000..423fba1f08716459ff84474ee3fef0fbb7241959
--- /dev/null
+++ b/ms-swift/silence_overlaps/700/train/silence_isoverlaps_train.json
@@ -0,0 +1,3862 @@
+[
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1101857.wav",
+    "key": "SODA_PROCESSED--train--1101857",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--508884.wav",
+    "key": "SODA_PROCESSED--train--508884",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1113674.wav",
+    "key": "SODA_PROCESSED--train--1113674",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--158293.wav",
+    "key": "SODA_PROCESSED--train--158293",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--631363.wav",
+    "key": "SODA_PROCESSED--train--631363",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--277322.wav",
+    "key": "SODA_PROCESSED--train--277322",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1131940.wav",
+    "key": "SODA_PROCESSED--train--1131940",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1108753.wav",
+    "key": "SODA_PROCESSED--train--1108753",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--27924.wav",
+    "key": "SODA_PROCESSED--train--27924",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--374749.wav",
+    "key": "SODA_PROCESSED--train--374749",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--821468.wav",
+    "key": "SODA_PROCESSED--train--821468",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--416516.wav",
+    "key": "SODA_PROCESSED--train--416516",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1029082.wav",
+    "key": "SODA_PROCESSED--train--1029082",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--992151.wav",
+    "key": "SODA_PROCESSED--train--992151",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--744708.wav",
+    "key": "SODA_PROCESSED--train--744708",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--11862.wav",
+    "key": "SODA_PROCESSED--train--11862",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--419304.wav",
+    "key": "SODA_PROCESSED--train--419304",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--98673.wav",
+    "key": "SODA_PROCESSED--train--98673",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--22719.wav",
+    "key": "SODA_PROCESSED--train--22719",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1028263.wav",
+    "key": "SODA_PROCESSED--train--1028263",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--848051.wav",
+    "key": "SODA_PROCESSED--train--848051",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--511668.wav",
+    "key": "SODA_PROCESSED--train--511668",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--12047.wav",
+    "key": "SODA_PROCESSED--train--12047",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--153751.wav",
+    "key": "SODA_PROCESSED--train--153751",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--795559.wav",
+    "key": "SODA_PROCESSED--train--795559",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--387024.wav",
+    "key": "SODA_PROCESSED--train--387024",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1168213.wav",
+    "key": "SODA_PROCESSED--train--1168213",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1123711.wav",
+    "key": "SODA_PROCESSED--train--1123711",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--819618.wav",
+    "key": "SODA_PROCESSED--train--819618",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--752118.wav",
+    "key": "SODA_PROCESSED--train--752118",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--581770.wav",
+    "key": "SODA_PROCESSED--train--581770",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--276032.wav",
+    "key": "SODA_PROCESSED--train--276032",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--556475.wav",
+    "key": "SODA_PROCESSED--train--556475",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674667.wav",
+    "key": "SODA_PROCESSED--train--674667",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--501206.wav",
+    "key": "SODA_PROCESSED--train--501206",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--905725.wav",
+    "key": "SODA_PROCESSED--train--905725",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--265829.wav",
+    "key": "SODA_PROCESSED--train--265829",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--207527.wav",
+    "key": "SODA_PROCESSED--train--207527",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--985415.wav",
+    "key": "SODA_PROCESSED--train--985415",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--115102.wav",
+    "key": "SODA_PROCESSED--train--115102",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--8820.wav",
+    "key": "SODA_PROCESSED--train--8820",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--453454.wav",
+    "key": "SODA_PROCESSED--train--453454",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--375003.wav",
+    "key": "SODA_PROCESSED--train--375003",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--757426.wav",
+    "key": "SODA_PROCESSED--train--757426",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--202914.wav",
+    "key": "SODA_PROCESSED--train--202914",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1007416.wav",
+    "key": "SODA_PROCESSED--train--1007416",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--193891.wav",
+    "key": "SODA_PROCESSED--train--193891",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--96343.wav",
+    "key": "SODA_PROCESSED--train--96343",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1031234.wav",
+    "key": "SODA_PROCESSED--train--1031234",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--798455.wav",
+    "key": "SODA_PROCESSED--train--798455",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--438636.wav",
+    "key": "SODA_PROCESSED--train--438636",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--776766.wav",
+    "key": "SODA_PROCESSED--train--776766",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--691830.wav",
+    "key": "SODA_PROCESSED--train--691830",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--524306.wav",
+    "key": "SODA_PROCESSED--train--524306",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--471264.wav",
+    "key": "SODA_PROCESSED--train--471264",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--421778.wav",
+    "key": "SODA_PROCESSED--train--421778",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--541347.wav",
+    "key": "SODA_PROCESSED--train--541347",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1084325.wav",
+    "key": "SODA_PROCESSED--train--1084325",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--29039.wav",
+    "key": "SODA_PROCESSED--train--29039",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1182464.wav",
+    "key": "SODA_PROCESSED--train--1182464",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--735517.wav",
+    "key": "SODA_PROCESSED--train--735517",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--417260.wav",
+    "key": "SODA_PROCESSED--train--417260",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--784738.wav",
+    "key": "SODA_PROCESSED--train--784738",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--303363.wav",
+    "key": "SODA_PROCESSED--train--303363",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--795181.wav",
+    "key": "SODA_PROCESSED--train--795181",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--33760.wav",
+    "key": "SODA_PROCESSED--train--33760",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--126878.wav",
+    "key": "SODA_PROCESSED--train--126878",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--317167.wav",
+    "key": "SODA_PROCESSED--train--317167",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--463322.wav",
+    "key": "SODA_PROCESSED--train--463322",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--51285.wav",
+    "key": "SODA_PROCESSED--train--51285",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1081079.wav",
+    "key": "SODA_PROCESSED--train--1081079",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--58199.wav",
+    "key": "SODA_PROCESSED--train--58199",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1017701.wav",
+    "key": "SODA_PROCESSED--train--1017701",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--762267.wav",
+    "key": "SODA_PROCESSED--train--762267",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--4948.wav",
+    "key": "SODA_PROCESSED--train--4948",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--737676.wav",
+    "key": "SODA_PROCESSED--train--737676",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--606362.wav",
+    "key": "SODA_PROCESSED--train--606362",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674832.wav",
+    "key": "SODA_PROCESSED--train--674832",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--588465.wav",
+    "key": "SODA_PROCESSED--train--588465",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--386163.wav",
+    "key": "SODA_PROCESSED--train--386163",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--421624.wav",
+    "key": "SODA_PROCESSED--train--421624",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--977126.wav",
+    "key": "SODA_PROCESSED--train--977126",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--932676.wav",
+    "key": "SODA_PROCESSED--train--932676",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--315768.wav",
+    "key": "SODA_PROCESSED--train--315768",
+    "model_output": "No significant overlaps found."
+  },
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+    "key": "SODA_PROCESSED--train--680740",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--769683.wav",
+    "key": "SODA_PROCESSED--train--769683",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--324306.wav",
+    "key": "SODA_PROCESSED--train--324306",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--957212.wav",
+    "key": "SODA_PROCESSED--train--957212",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--561706.wav",
+    "key": "SODA_PROCESSED--train--561706",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--846507.wav",
+    "key": "SODA_PROCESSED--train--846507",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--520823.wav",
+    "key": "SODA_PROCESSED--train--520823",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1083511.wav",
+    "key": "SODA_PROCESSED--train--1083511",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--530500.wav",
+    "key": "SODA_PROCESSED--train--530500",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1010433.wav",
+    "key": "SODA_PROCESSED--train--1010433",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--787888.wav",
+    "key": "SODA_PROCESSED--train--787888",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1076439.wav",
+    "key": "SODA_PROCESSED--train--1076439",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--700208.wav",
+    "key": "SODA_PROCESSED--train--700208",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--901379.wav",
+    "key": "SODA_PROCESSED--train--901379",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--412246.wav",
+    "key": "SODA_PROCESSED--train--412246",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--915430.wav",
+    "key": "SODA_PROCESSED--train--915430",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559740.wav",
+    "key": "SODA_PROCESSED--train--559740",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--82370.wav",
+    "key": "SODA_PROCESSED--train--82370",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1084179.wav",
+    "key": "SODA_PROCESSED--train--1084179",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--456887.wav",
+    "key": "SODA_PROCESSED--train--456887",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--148115.wav",
+    "key": "SODA_PROCESSED--train--148115",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--63072.wav",
+    "key": "SODA_PROCESSED--train--63072",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1180469.wav",
+    "key": "SODA_PROCESSED--train--1180469",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1050248.wav",
+    "key": "SODA_PROCESSED--train--1050248",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--771202.wav",
+    "key": "SODA_PROCESSED--train--771202",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1171436.wav",
+    "key": "SODA_PROCESSED--train--1171436",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--908191.wav",
+    "key": "SODA_PROCESSED--train--908191",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1073790.wav",
+    "key": "SODA_PROCESSED--train--1073790",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--809183.wav",
+    "key": "SODA_PROCESSED--train--809183",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--58019.wav",
+    "key": "SODA_PROCESSED--train--58019",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--316554.wav",
+    "key": "SODA_PROCESSED--train--316554",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--352805.wav",
+    "key": "SODA_PROCESSED--train--352805",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--840566.wav",
+    "key": "SODA_PROCESSED--train--840566",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--974933.wav",
+    "key": "SODA_PROCESSED--train--974933",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--56287.wav",
+    "key": "SODA_PROCESSED--train--56287",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--165189.wav",
+    "key": "SODA_PROCESSED--train--165189",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--221517.wav",
+    "key": "SODA_PROCESSED--train--221517",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--730476.wav",
+    "key": "SODA_PROCESSED--train--730476",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--231222.wav",
+    "key": "SODA_PROCESSED--train--231222",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--490356.wav",
+    "key": "SODA_PROCESSED--train--490356",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--926731.wav",
+    "key": "SODA_PROCESSED--train--926731",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--197137.wav",
+    "key": "SODA_PROCESSED--train--197137",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--290375.wav",
+    "key": "SODA_PROCESSED--train--290375",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1182226.wav",
+    "key": "SODA_PROCESSED--train--1182226",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--984679.wav",
+    "key": "SODA_PROCESSED--train--984679",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--872171.wav",
+    "key": "SODA_PROCESSED--train--872171",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--142496.wav",
+    "key": "SODA_PROCESSED--train--142496",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--64931.wav",
+    "key": "SODA_PROCESSED--train--64931",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--900948.wav",
+    "key": "SODA_PROCESSED--train--900948",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--584031.wav",
+    "key": "SODA_PROCESSED--train--584031",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--299895.wav",
+    "key": "SODA_PROCESSED--train--299895",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--967919.wav",
+    "key": "SODA_PROCESSED--train--967919",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--727552.wav",
+    "key": "SODA_PROCESSED--train--727552",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1049130.wav",
+    "key": "SODA_PROCESSED--train--1049130",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--311173.wav",
+    "key": "SODA_PROCESSED--train--311173",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--927063.wav",
+    "key": "SODA_PROCESSED--train--927063",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--514047.wav",
+    "key": "SODA_PROCESSED--train--514047",
+    "model_output": "No significant overlaps found."
+  },
+  {
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1146016.wav",
+    "key": "SODA_PROCESSED--train--1146016",
+    "model_output": "No significant overlaps found."
+  }
+]
\ No newline at end of file
diff --git a/ms-swift/silence_overlaps/silence_speaker_segments.json b/ms-swift/silence_overlaps/silence_speaker_segments.json
new file mode 100644
index 0000000000000000000000000000000000000000..0bada5f0945dbb982d49a853f43d8c7e1b73d964
--- /dev/null
+++ b/ms-swift/silence_overlaps/silence_speaker_segments.json
@@ -0,0 +1,3902 @@
+[
+  {
+    "key": "SODA_PROCESSED--train--113543",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--113543.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:07-00:12, 00:26-00:30, 00:32-00:35, 00:38-00:39, 00:39-00:44, 00:46-00:48, 01:02-01:09\nSpeaker B: 00:04-00:07, 00:17-00:26, 00:31-00:32, 00:35-00:37, 00:44-00:45, 00:48-01:01"
+  },
+  {
+    "key": "SODA_PROCESSED--train--58199",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--58199.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:03-00:04, 00:07-00:18, 00:28-00:36\nSpeaker B: 00:02-00:03, 00:05-00:06, 00:17-00:23, 00:37-00:41"
+  },
+  {
+    "key": "SODA_PROCESSED--train--560596",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--560596.wav",
+    "model_output": "Speaker A: 00:00-00:05, 00:14-00:19, 00:33-00:36, 00:44-00:46\nSpeaker B: 00:04-00:09, 00:19-00:33, 00:37-00:44"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1131940",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1131940.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:06-00:10, 00:16-00:21, 00:36-00:38, 00:47-00:52\nSpeaker B: 00:03-00:06, 00:10-00:16, 00:27-00:36, 00:39-00:47, 00:53-00:54"
+  },
+  {
+    "key": "SODA_PROCESSED--train--726661",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--726661.wav",
+    "model_output": "Speaker A: 00:00-00:00, 00:04-00:10, 00:18-00:26\nSpeaker B: 00:01-00:03, 00:09-00:14, 00:26-00:30"
+  },
+  {
+    "key": "SODA_PROCESSED--train--729816",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--729816.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:04-00:08, 00:11-00:17, 00:28-00:34\nSpeaker B: 00:01-00:04, 00:09-00:13, 00:22-00:27, 00:35-00:36"
+  },
+  {
+    "key": "SODA_PROCESSED--train--520823",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--520823.wav",
+    "model_output": "Speaker A: 00:00-00:05, 00:12-00:24, 00:35-00:45, 00:54-01:00, 01:07-01:14\nSpeaker B: 00:05-00:07, 00:25-00:34, 00:46-00:54, 01:00-01:06, 01:14-01:16"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1123711",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1123711.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:12-00:20, 00:34-00:39\nSpeaker B: 00:03-00:07, 00:20-00:34, 00:40-00:46"
+  },
+  {
+    "key": "SODA_PROCESSED--train--822773",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--822773.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:07-00:14, 00:24-00:33, 00:38-00:47\nSpeaker B: 00:03-00:07, 00:14-00:19, 00:33-00:37"
+  },
+  {
+    "key": "SODA_PROCESSED--train--931585",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--931585.wav",
+    "model_output": "Speaker A: 00:00-00:05, 00:14-00:20, 00:29-00:36\nSpeaker B: 00:04-00:09, 00:21-00:28, 00:36-00:43"
+  },
+  {
+    "key": "SODA_PROCESSED--train--546350",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--546350.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:12-00:17, 00:19-00:20, 00:32-00:40, 00:49-01:01\nSpeaker B: 00:03-00:07, 00:17-00:19, 00:21-00:32, 00:40-00:49, 01:02-01:04"
+  },
+  {
+    "key": "SODA_PROCESSED--train--559292",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559292.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:08-00:11, 00:19-00:29, 00:37-00:44\nSpeaker B: 00:03-00:09, 00:16-00:19, 00:30-00:36"
+  },
+  {
+    "key": "SODA_PROCESSED--train--460378",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--460378.wav",
+    "model_output": "Speaker A: 00:00-00:07, 00:15-00:23, 00:31-00:36\nSpeaker B: 00:06-00:10, 00:23-00:31"
+  },
+  {
+    "key": "SODA_PROCESSED--train--931341",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--931341.wav",
+    "model_output": "Speaker A: 00:00-00:11, 00:20-00:30\nSpeaker B: 00:10-00:15"
+  },
+  {
+    "key": "SODA_PROCESSED--train--242753",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--242753.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:04-00:08, 00:12-00:18, 00:27-00:36, 00:39-00:45, 00:48-00:52, 00:53-00:55\nSpeaker B: 00:02-00:04, 00:09-00:11, 00:17-00:22, 00:36-00:38, 00:45-00:47, 00:52-00:53"
+  },
+  {
+    "key": "SODA_PROCESSED--train--964867",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--964867.wav",
+    "model_output": "Speaker A: 00:00-00:08, 00:16-00:23\nSpeaker B: 00:09-00:17, 00:28-00:38"
+  },
+  {
+    "key": "SODA_PROCESSED--train--64931",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--64931.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:05-00:08, 00:23-00:28, 00:32-00:39\nSpeaker B: 00:03-00:06, 00:13-00:22, 00:29-00:32"
+  },
+  {
+    "key": "SODA_PROCESSED--train--760966",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--760966.wav",
+    "model_output": "Speaker A: 00:00-00:06, 00:08-00:19, 00:28-00:44, 00:54-01:00\nSpeaker B: 00:06-00:08, 00:18-00:23, 00:45-00:54"
+  },
+  {
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--692789.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--4814.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1011922.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--29039.wav",
+    "model_output": "Speaker A: 00:00-00:06, 00:22-00:35, 00:53-01:02, 01:11-01:13\nSpeaker B: 00:05-00:17, 00:36-00:52, 01:02-01:11"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1031234.wav",
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+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--846418.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--162201.wav",
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+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--153751.wav",
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+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--276032.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--727552.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--418520.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--438636.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1083511.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--615914.wav",
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+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--501206.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:04-00:16, 00:25-00:40, 00:48-00:55\nSpeaker B: 00:03-00:04, 00:15-00:21, 00:41-00:47"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--403013.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:08-00:13, 00:19-00:23, 00:36-00:43\nSpeaker B: 00:04-00:09, 00:17-00:19, 00:23-00:36, 00:43-00:46"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1020068.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--608672.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--317784.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--61606.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--766305.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--7207.wav",
+    "model_output": "Speaker A: 00:00-00:07, 00:16-00:32, 00:39-00:47\nSpeaker B: 00:06-00:11, 00:32-00:38, 00:48-00:55"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--419679.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--700208.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--595180.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--158293.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--179972.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1182464.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--762267.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--774546.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--437038.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--649949.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--98281.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:08-00:14, 00:27-00:41, 00:43-00:54\nSpeaker B: 00:03-00:09, 00:20-00:27, 00:41-00:42, 00:55-01:06"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--869455.wav",
+    "model_output": "Speaker A: 00:00-00:11, 00:15-00:25, 00:27-00:38, 00:41-00:53\nSpeaker B: 00:12-00:15, 00:25-00:27, 00:39-00:42"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--286623.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--331396.wav",
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+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--420178.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--24058.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:09-00:18, 00:30-00:43\nSpeaker B: 00:04-00:09, 00:23-00:29, 00:44-00:48"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--366989.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--277828.wav",
+    "model_output": "Speaker A: 00:00-00:07, 00:15-00:30\nSpeaker B: 00:06-00:10, 00:31-00:35"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--303363.wav",
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+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--559369.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:05-00:12, 00:21-00:24, 00:30-00:37\nSpeaker B: 00:03-00:06, 00:17-00:20, 00:24-00:29, 00:38-00:39"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--302394.wav",
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+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1151383.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:15-00:22, 00:36-00:43\nSpeaker B: 00:05-00:16, 00:28-00:35, 00:43-00:46"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--486837.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:06-00:10, 00:14-00:23, 00:31-00:48, 00:56-01:04\nSpeaker B: 00:04-00:05, 00:11-00:13, 00:22-00:26, 00:48-00:55"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--962210.wav",
+    "model_output": "Speaker A: 00:00-00:14, 00:25-00:48, 00:54-01:05\nSpeaker B: 00:13-00:20, 00:48-00:54, 01:06-01:08"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1095086.wav",
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+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--896752.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:04-00:10, 00:18-00:28, 00:34-00:43, 00:50-00:53\nSpeaker B: 00:03-00:04, 00:09-00:13, 00:29-00:34, 00:43-00:50"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--534070.wav",
+    "model_output": "Speaker A: 00:00-00:06, 00:15-00:22, 00:27-00:29\nSpeaker B: 00:05-00:10, 00:23-00:27, 00:29-00:30"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1092370.wav",
+    "model_output": "Speaker A: 00:00-00:10, 00:21-00:27, 00:40-00:48, 00:53-00:55\nSpeaker B: 00:10-00:15, 00:28-00:40, 00:49-00:53"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--146698.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:12-00:14, 00:16-00:18, 00:31-00:32, 00:38-00:39\nSpeaker B: 00:03-00:07, 00:14-00:16, 00:19-00:30, 00:33-00:38, 00:40-00:42"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--287787.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:07-00:09, 00:25-00:30\nSpeaker B: 00:03-00:07, 00:14-00:24, 00:30-00:33"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--901479.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:09-00:15, 00:22-00:24, 00:28-00:36, 00:46-00:50\nSpeaker B: 00:03-00:09, 00:15-00:22, 00:24-00:29, 00:41-00:46"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--525710.wav",
+    "model_output": "Speaker A: 00:00-00:09, 00:20-00:33, 00:43-00:45\nSpeaker B: 00:08-00:15, 00:33-00:43"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--334612.wav",
+    "model_output": "Speaker A: 00:00-00:09, 00:18-00:29, 00:36-00:44, 00:57-01:00\nSpeaker B: 00:08-00:12, 00:30-00:36, 00:44-00:57"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--676747.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--269886.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:05-00:09, 00:11-00:16, 00:24-00:38\nSpeaker B: 00:03-00:04, 00:09-00:12, 00:21-00:24, 00:38-00:43"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--671614.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:03-00:09, 00:20-00:31\nSpeaker B: 00:01-00:03, 00:08-00:15, 00:31-00:39"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--876910.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--706051.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:04-00:08, 00:23-00:28\nSpeaker B: 00:04-00:05, 00:14-00:23, 00:29-00:37"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--606362.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:08-00:15, 00:42-00:48, 00:54-00:59, 01:17-01:27\nSpeaker B: 00:02-00:09, 00:20-00:42, 00:49-00:54, 00:59-01:16"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--33760.wav",
+    "model_output": "Speaker A: 00:00-00:05, 00:09-00:13, 00:17-00:37, 00:50-01:15\nSpeaker B: 00:06-00:08, 00:13-00:18, 00:42-00:50, 01:16-01:23"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--860535.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--571406.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:09-00:16, 00:28-00:32, 00:43-00:45, 00:52-00:54\nSpeaker B: 00:03-00:10, 00:21-00:27, 00:33-00:42, 00:46-00:52"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--421624.wav",
+    "model_output": "Speaker A: 00:00-00:05, 00:15-00:31, 00:38-00:42\nSpeaker B: 00:04-00:10, 00:32-00:38, 00:42-00:44"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--273875.wav",
+    "model_output": "Speaker A: 00:00-00:05, 00:13-00:21, 00:26-00:33, 00:37-00:44, 00:49-00:54, 01:01-01:06\nSpeaker B: 00:04-00:08, 00:22-00:25, 00:33-00:37, 00:45-00:48, 00:55-01:00, 01:07-01:12"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--766234.wav",
+    "model_output": "Speaker A: 00:00-00:12, 00:22-00:41\nSpeaker B: 00:11-00:17, 00:42-00:52"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--78189.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:08-00:14, 00:25-00:44, 00:49-00:53, 00:55-01:00\nSpeaker B: 00:04-00:07, 00:13-00:21, 00:45-00:49, 00:54-00:55"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--497264.wav",
+    "model_output": "Speaker A: 00:00-00:06, 00:18-00:30, 00:53-01:02\nSpeaker B: 00:06-00:19, 00:35-00:52, 01:02-01:13"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--303336.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--719199.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--894199.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--677446.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--680740.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--930750.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--490356.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--13635.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1106201.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--301485.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--778704.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--713730.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--905725.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--845126.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--194829.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--961025.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--775321.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--867206.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--146504.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--231222.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--437704.wav",
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+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--90368.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--480349.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--744708.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1088159.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--514047.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--767328.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--938056.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--207527.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--205208.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--187351.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--740576.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--44625.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1092169.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1081079.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--926731.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1022590.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--824468.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--188417.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--280675.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--648176.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--488132.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--583537.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--795181.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1097575.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--781246.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--970059.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--322068.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--397434.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--419304.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1080342.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--277060.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--233660.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--327822.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--228558.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:05-00:10, 00:18-00:29\nSpeaker B: 00:02-00:05, 00:09-00:13, 00:30-00:32"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--31287.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:04-00:09, 00:12-00:32, 00:42-01:02, 01:08-01:16\nSpeaker B: 00:02-00:04, 00:09-00:11, 00:32-00:37, 01:02-01:08"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--189460.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:13-00:18, 00:24-00:27, 00:30-00:34, 00:48-00:50, 00:53-00:53\nSpeaker B: 00:04-00:13, 00:18-00:23, 00:27-00:31, 00:40-00:48, 00:51-00:52"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--927063.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:12-00:25, 00:32-00:48\nSpeaker B: 00:03-00:07, 00:25-00:32, 00:49-00:52"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--187120.wav",
+    "model_output": "Speaker A: 00:00-00:06, 00:11-00:16, 00:27-00:36, 00:45-00:54, 01:01-01:08\nSpeaker B: 00:07-00:11, 00:16-00:22, 00:36-00:44, 00:54-01:01"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--490986.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:09-00:12, 00:14-00:30, 00:36-00:44\nSpeaker B: 00:03-00:04, 00:13-00:13, 00:31-00:35, 00:44-00:47"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--214477.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:05-00:09, 00:13-00:19, 00:28-00:50, 01:08-01:17, 01:25-01:29\nSpeaker B: 00:03-00:04, 00:10-00:12, 00:18-00:23, 00:51-01:08, 01:17-01:24"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--120698.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:04-00:08, 00:10-00:15, 00:26-00:33, 00:36-00:48, 00:54-00:57\nSpeaker B: 00:02-00:04, 00:08-00:11, 00:20-00:26, 00:34-00:35, 00:48-00:53"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--220023.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:04-00:10, 00:18-00:32, 00:37-00:43, 00:55-01:00\nSpeaker B: 00:03-00:04, 00:10-00:14, 00:32-00:37, 00:43-00:54"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--686928.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:06-00:10, 00:15-00:22, 00:34-00:59, 01:07-01:16\nSpeaker B: 00:03-00:05, 00:10-00:14, 00:22-00:29, 00:59-01:07"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--538753.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:03-00:08, 00:15-00:20, 00:24-00:36, 00:40-00:44\nSpeaker B: 00:02-00:03, 00:07-00:10, 00:20-00:23, 00:37-00:39, 00:44-00:47"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--154340.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--165189.wav",
+    "model_output": "Speaker A: 00:00-00:07, 00:15-00:20, 00:31-00:34\nSpeaker B: 00:07-00:14, 00:19-00:26, 00:34-00:36"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--366589.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:04-00:07, 00:22-00:24, 00:28-00:29\nSpeaker B: 00:01-00:04, 00:12-00:21, 00:25-00:27, 00:29-00:31"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--76986.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:11-00:17, 00:21-00:30, 00:37-00:49, 01:05-01:13\nSpeaker B: 00:05-00:10, 00:18-00:20, 00:29-00:32, 00:50-01:05, 01:13-01:15"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1061857.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:05-00:10, 00:23-00:25, 00:29-00:31\nSpeaker B: 00:03-00:06, 00:15-00:22, 00:25-00:28"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--645254.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:06-00:09, 00:13-00:15, 00:20-00:30, 00:38-00:48, 00:55-01:04\nSpeaker B: 00:03-00:05, 00:09-00:12, 00:15-00:19, 00:29-00:33, 00:49-00:55"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--258272.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:09-00:16, 00:26-00:33, 00:43-00:52, 01:01-01:02\nSpeaker B: 00:03-00:09, 00:21-00:25, 00:34-00:42, 00:52-01:01"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1070688.wav",
+    "model_output": "Speaker A: 00:00-00:09, 00:19-00:46, 00:53-01:08\nSpeaker B: 00:08-00:14, 00:47-00:52"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--70224.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:04-00:05, 00:11-00:15, 00:24-00:28, 00:44-00:49\nSpeaker B: 00:02-00:03, 00:06-00:12, 00:20-00:23, 00:29-00:43, 00:49-01:00"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--608903.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:03-00:08, 00:17-00:20, 00:27-00:31\nSpeaker B: 00:01-00:02, 00:07-00:12, 00:20-00:27, 00:32-00:34"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--660884.wav",
+    "model_output": "Speaker A: 00:00-00:09, 00:20-00:23, 00:39-00:45, 00:54-00:57\nSpeaker B: 00:08-00:15, 00:23-00:39, 00:45-00:53"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1104244.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:07-00:16, 00:23-00:35, 00:41-00:46\nSpeaker B: 00:05-00:07, 00:22-00:23, 00:36-00:41, 00:46-00:50"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--246434.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:10-00:17, 00:33-00:46\nSpeaker B: 00:03-00:05, 00:18-00:32, 00:46-00:51"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--466262.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:04-00:09, 00:11-00:16, 00:29-00:36, 00:42-00:47\nSpeaker B: 00:02-00:03, 00:09-00:12, 00:21-00:29, 00:36-00:42, 00:47-00:52"
+  },
+  {
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--262975.wav",
+    "model_output": "Speaker A: 00:00-00:08, 00:17-00:22\nSpeaker B: 00:07-00:12, 00:22-00:35"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--855653.wav",
+    "model_output": "Speaker A: 00:00-00:07, 00:18-00:24, 00:28-00:33, 00:36-00:39, 00:46-00:52\nSpeaker B: 00:06-00:13, 00:25-00:27, 00:33-00:36, 00:39-00:46, 00:52-00:54"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--939669.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:06-00:11, 00:23-00:30\nSpeaker B: 00:03-00:07, 00:16-00:23, 00:31-00:34"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--935998.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:05-00:08, 00:15-00:20, 00:28-00:32\nSpeaker B: 00:03-00:04, 00:07-00:10, 00:20-00:27, 00:32-00:35"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--610118.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:07-00:11, 00:22-00:35\nSpeaker B: 00:05-00:08, 00:16-00:22, 00:36-00:48"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--903574.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:03-00:11, 00:18-00:20, 00:22-00:26, 00:38-00:44, 00:49-00:57\nSpeaker B: 00:01-00:04, 00:16-00:18, 00:21-00:22, 00:27-00:38, 00:45-00:49"
+  },
+  {
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1112763.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:03-00:09, 00:20-00:39, 00:43-00:58, 01:04-01:17\nSpeaker B: 00:01-00:03, 00:08-00:14, 00:40-00:43, 00:59-01:04, 01:17-01:20"
+  },
+  {
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--775640.wav",
+    "model_output": "Speaker A: 00:00-00:10, 00:21-00:37\nSpeaker B: 00:09-00:15, 00:37-00:43"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--531935.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:06-00:13, 00:24-00:31, 00:39-00:45, 00:50-00:57\nSpeaker B: 00:04-00:06, 00:12-00:19, 00:32-00:39, 00:45-00:50, 00:57-01:09"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--683188.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:05-00:17, 00:25-00:34, 00:44-00:47, 00:52-00:58\nSpeaker B: 00:04-00:04, 00:16-00:20, 00:35-00:43, 00:47-00:52, 00:59-01:06"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--962013.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:05-00:09, 00:12-00:14, 00:22-00:28, 00:32-00:44\nSpeaker B: 00:02-00:04, 00:09-00:12, 00:13-00:17, 00:28-00:31, 00:45-00:51"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--708343.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:06-00:12, 00:21-00:31, 00:36-00:38\nSpeaker B: 00:02-00:07, 00:18-00:20, 00:32-00:36"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--708040.wav",
+    "model_output": "Speaker A: 00:00-00:06, 00:17-00:24, 00:31-00:50, 01:00-01:12\nSpeaker B: 00:06-00:12, 00:25-00:31, 00:51-01:00, 01:12-01:15"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--581770.wav",
+    "model_output": "Speaker A: 00:00-00:07, 00:14-00:40, 00:46-00:50, 00:56-01:01\nSpeaker B: 00:06-00:09, 00:40-00:45, 00:50-00:56, 01:01-01:07"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--156618.wav",
+    "model_output": "Speaker A: 00:00-00:07, 00:17-00:24, 00:31-00:34, 00:40-00:55, 01:01-01:14\nSpeaker B: 00:07-00:12, 00:24-00:30, 00:34-00:40, 00:55-01:00, 01:14-01:22"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--166191.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:04-00:07, 00:13-00:17, 00:24-00:29, 00:42-00:48, 01:05-01:10, 01:16-01:21\nSpeaker B: 00:02-00:03, 00:08-00:12, 00:17-00:25, 00:34-00:42, 00:48-01:05, 01:10-01:16, 01:21-01:29"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--906269.wav",
+    "model_output": "Speaker A: 00:00-00:07, 00:12-00:21, 00:32-00:52, 01:00-01:11\nSpeaker B: 00:07-00:12, 00:20-00:27, 00:52-00:59, 01:12-01:13"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--201813.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:10-00:11, 00:20-00:26, 00:34-00:37, 00:48-00:54, 01:06-01:08\nSpeaker B: 00:04-00:10, 00:11-00:20, 00:26-00:33, 00:38-00:49, 01:00-01:05"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--39376.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:10-00:21, 00:26-00:28, 00:31-00:38, 00:43-00:49, 00:52-00:54\nSpeaker B: 00:03-00:06, 00:22-00:26, 00:28-00:31, 00:38-00:42, 00:49-00:52, 00:54-00:57"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1113674.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--20810.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--221358.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--541347.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--415948.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--888565.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--437951.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--334902.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--769615.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--193134.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:05-00:08, 00:17-00:21, 00:29-00:33, 00:40-00:43, 00:47-00:51\nSpeaker B: 00:03-00:04, 00:07-00:12, 00:21-00:29, 00:33-00:39, 00:43-00:46"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--218430.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:04-00:08, 00:16-00:25, 00:27-00:36, 00:41-00:47\nSpeaker B: 00:01-00:04, 00:07-00:10, 00:25-00:26, 00:36-00:40"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1031152.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:09-00:17, 00:29-00:41, 00:47-01:05, 01:13-01:23\nSpeaker B: 00:03-00:09, 00:17-00:23, 00:41-00:47, 01:06-01:13"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--636981.wav",
+    "model_output": "Speaker A: 00:00-00:05, 00:08-00:14, 00:22-00:33, 00:51-00:56, 01:09-01:12\nSpeaker B: 00:05-00:08, 00:13-00:17, 00:33-00:50, 00:57-01:09, 01:13-01:16"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--416516.wav",
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+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--564472.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:05-00:13, 00:23-00:32, 00:34-00:45\nSpeaker B: 00:03-00:05, 00:12-00:17, 00:32-00:34, 00:45-00:50"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--4955.wav",
+    "model_output": "Speaker A: 00:00-00:07, 00:18-00:25, 00:30-00:37, 00:42-00:49, 00:56-00:57\nSpeaker B: 00:06-00:13, 00:26-00:29, 00:37-00:41, 00:50-00:55"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--254497.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:06-00:14, 00:27-00:30, 00:34-00:38\nSpeaker B: 00:03-00:07, 00:19-00:26, 00:31-00:34"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--285043.wav",
+    "model_output": "Speaker A: 00:00-00:12, 00:21-00:28, 00:33-00:43, 00:48-00:55, 00:58-01:07\nSpeaker B: 00:11-00:16, 00:29-00:33, 00:43-00:48, 00:55-00:58, 01:07-01:09"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--329396.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:06-00:07, 00:19-00:27\nSpeaker B: 00:04-00:07, 00:13-00:18, 00:28-00:30"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1007416.wav",
+    "model_output": "Speaker A: 00:00-00:06, 00:14-00:19, 00:34-00:47\nSpeaker B: 00:06-00:15, 00:24-00:34, 00:48-00:51"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--776571.wav",
+    "model_output": "Speaker A: 00:00-00:06, 00:16-00:19, 00:23-00:25, 00:38-00:44, 01:03-01:07\nSpeaker B: 00:05-00:11, 00:20-00:23, 00:26-00:37, 00:45-01:03"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--616846.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:08-00:16, 00:35-00:46\nSpeaker B: 00:01-00:09, 00:21-00:35, 00:46-00:54"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--484021.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:11-00:13, 00:17-00:22, 00:41-00:45, 00:58-01:04\nSpeaker B: 00:05-00:11, 00:14-00:18, 00:27-00:40, 00:45-00:58, 01:05-01:20"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--453454.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:05-00:09, 00:15-00:24, 00:30-00:35, 00:39-00:43\nSpeaker B: 00:02-00:05, 00:09-00:11, 00:25-00:30, 00:35-00:39, 00:43-00:48"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--843615.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:07-00:12, 00:23-00:24, 00:28-00:31\nSpeaker B: 00:03-00:08, 00:17-00:22, 00:25-00:28"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--14913.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:05-00:12, 00:22-00:29, 00:33-00:37\nSpeaker B: 00:03-00:05, 00:11-00:17, 00:30-00:32, 00:38-00:40"
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+  {
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1144076.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:06-00:09, 00:11-00:19, 00:32-00:43, 00:50-00:56\nSpeaker B: 00:04-00:05, 00:10-00:11, 00:18-00:27, 00:44-00:49"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--89079.wav",
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+  {
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--33171.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:03-00:12, 00:20-00:21, 00:24-00:27, 00:43-00:51, 00:53-00:54\nSpeaker B: 00:02-00:03, 00:12-00:15, 00:22-00:24, 00:27-00:42, 00:51-00:52, 00:54-00:56"
+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--585968.wav",
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+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--387024.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:04-00:07, 00:17-00:18, 00:25-00:30\nSpeaker B: 00:02-00:05, 00:13-00:16, 00:18-00:25, 00:30-00:32"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--952835.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--417260.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:07-00:12, 00:19-00:40, 00:46-00:58\nSpeaker B: 00:03-00:06, 00:11-00:14, 00:40-00:45, 00:59-01:02"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--22719.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:04-00:08, 00:16-00:22, 00:29-00:35\nSpeaker B: 00:03-00:03, 00:07-00:12, 00:22-00:28, 00:35-00:38"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--421778.wav",
+    "model_output": "Speaker A: 00:00-00:05, 00:12-00:22, 00:30-00:37, 00:41-00:44, 00:51-01:01, 01:13-01:16\nSpeaker B: 00:06-00:12, 00:23-00:30, 00:37-00:41, 00:45-00:52, 01:07-01:12"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--509788.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--368483.wav",
+    "model_output": "Speaker A: 00:00-00:08, 00:11-00:25, 00:34-00:43, 00:53-00:59, 01:05-01:06\nSpeaker B: 00:08-00:11, 00:26-00:34, 00:42-00:48, 01:00-01:04"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--471036.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--297496.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:06-00:12, 00:24-00:40, 00:47-00:53\nSpeaker B: 00:02-00:07, 00:18-00:24, 00:40-00:46, 00:54-00:59"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1020192.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:05-00:13, 00:25-00:35, 00:42-00:49\nSpeaker B: 00:02-00:06, 00:19-00:25, 00:35-00:42, 00:50-00:55"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--171463.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--51285.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1050100.wav",
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+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--908191.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:06-00:09, 00:17-00:22, 00:29-00:31\nSpeaker B: 00:04-00:07, 00:14-00:17, 00:22-00:28, 00:32-00:37"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--489920.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1050248.wav",
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+  },
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--954404.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--834526.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--202914.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--477747.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--953260.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--923496.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1084325.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--726133.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--840566.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--84371.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--316553.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--287169.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--933257.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--532492.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--833014.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--123906.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:14-00:20, 00:28-00:41, 00:55-01:01, 01:08-01:16, 01:21-01:25\nSpeaker B: 00:03-00:09, 00:20-00:28, 00:41-00:54, 01:02-01:07, 01:16-01:20"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--369090.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:04-00:15, 00:23-00:29, 00:30-00:34\nSpeaker B: 00:02-00:05, 00:19-00:23, 00:29-00:30"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--125527.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1054099.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--770919.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--435477.wav",
+    "model_output": "Speaker A: 00:00-00:03, 00:07-00:11, 00:30-00:33, 00:43-00:45, 00:50-00:53, 00:57-01:00\nSpeaker B: 00:04-00:08, 00:16-00:30, 00:34-00:43, 00:46-00:49, 00:54-00:56"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--729972.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--928982.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--114598.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--535550.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--526216.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--412246.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--203528.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--180962.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--500115.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--82370.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--994948.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--346041.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--289733.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--352805.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--667784.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--956648.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--413649.wav",
+    "model_output": "Speaker A: 00:00-00:02, 00:13-00:20, 00:34-00:42, 00:47-00:49, 00:52-00:57, 01:04-01:09\nSpeaker B: 00:03-00:14, 00:25-00:34, 00:43-00:47, 00:49-00:52, 00:57-01:04, 01:09-01:26"
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--872171.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--465565.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--984679.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--637306.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--698246.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--828152.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--211161.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1131334.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--977434.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--542071.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--748043.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1087723.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--677647.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--876642.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--617839.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--241883.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--674832.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--27924.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--816805.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--75062.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--8155.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--338555.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--55746.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--588465.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--876226.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--835488.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--682132.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--231370.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--431708.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1025535.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--690063.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--214621.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--844892.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--795559.wav",
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+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--934782.wav",
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+  {
+    "key": "SODA_PROCESSED--train--49462",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--49462.wav",
+    "model_output": "Speaker A: 00:00-00:00, 00:03-00:09, 00:20-00:29, 00:37-00:41\nSpeaker B: 00:01-00:02, 00:08-00:14, 00:29-00:37"
+  },
+  {
+    "key": "SODA_PROCESSED--train--164800",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--164800.wav",
+    "model_output": "Speaker A: 00:00-00:07, 00:21-00:32, 00:40-00:41\nSpeaker B: 00:06-00:16, 00:32-00:39, 00:42-00:43"
+  },
+  {
+    "key": "SODA_PROCESSED--train--162106",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--162106.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:03-00:08, 00:18-00:24, 00:27-00:33, 00:40-00:46, 00:54-00:58\nSpeaker B: 00:01-00:03, 00:07-00:13, 00:24-00:27, 00:34-00:40, 00:46-00:54"
+  },
+  {
+    "key": "SODA_PROCESSED--train--69581",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--69581.wav",
+    "model_output": "Speaker A: 00:00-00:04, 00:08-00:17, 00:33-00:39, 00:49-00:58, 01:06-01:12\nSpeaker B: 00:05-00:09, 00:22-00:32, 00:40-00:48, 00:59-01:06, 01:12-01:15"
+  },
+  {
+    "key": "SODA_PROCESSED--train--757426",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--757426.wav",
+    "model_output": "Speaker A: 00:00-00:01, 00:05-00:11, 00:20-00:37, 00:43-00:50, 00:56-00:58\nSpeaker B: 00:02-00:04, 00:10-00:15, 00:38-00:43, 00:50-00:55"
+  },
+  {
+    "key": "SODA_PROCESSED--train--1112132",
+    "audio_url": "/root/autodl-tmp/output_silence45/json/silence/SODA_PROCESSED--train--1112132.wav",
+    "model_output": "Speaker A: 00:00-00:05, 00:16-00:22, 00:38-00:55, 01:02-01:10\nSpeaker B: 00:04-00:11, 00:23-00:38, 00:55-01:01, 01:10-01:18"
+  }
+]
\ No newline at end of file
diff --git a/ms-swift/silence_overlaps/test/.ipynb_checkpoints/test_train-checkpoint.json b/ms-swift/silence_overlaps/test/.ipynb_checkpoints/test_train-checkpoint.json
new file mode 100644
index 0000000000000000000000000000000000000000..1742f29033d7519e9fb3fa988832fbd50b4f8668
--- /dev/null
+++ b/ms-swift/silence_overlaps/test/.ipynb_checkpoints/test_train-checkpoint.json
@@ -0,0 +1,963 @@
+{
+    "SODA_PROCESSED--train--449689": {
+        "original_dialog_id": "",
+        "dialog_index": 449689,
+        "processed_dialogue": "A: Hey there. Mind if I lay down next to you?  \nB: No, go ahead.  \nA: Thanks. I needed a break from the sun. It's so hot today.  \nB: Yeah, it is. I'm trying to get a tan, but I don't want to get too dehydrated, so I'm keeping a bottle of water close by and reapplying sunscreen every hour to avoid any skin damage.  \nA: Burnt? Yeah, that's definitely a possibility out here. So what brings you to the beach today? Just wanting to relax?  \nB: Yeah, pretty much. I just finished up my summer classes and needed some time to myself before starting my new job next week.  \nA: That sounds rough. Are you excited for it? Or [interrupt] worried about how you'll balance everything with your personal life and other commitments you might have during this transitional period?  \nB: Nervous? A little bit of both, honestly. But mostly excited. It should be a good experience. And the pay is great, so that's a plus.  \nA: Definitely. Well, I hope you enjoy the rest of your day here.  \nB: Thanks. You too.",
+        "clean_dialogue": "A: Hey there. Mind if I lay down next to you?  \nB: No, go ahead.  \nA: Thanks. I needed a break from the sun. It's so hot today.  \nB: Yeah, it is. I'm trying to get a tan, but I don't want to get too dehydrated, so I'm keeping a bottle of water close by and reapplying sunscreen every hour to avoid any skin damage.  \nA: Burnt? Yeah, that's definitely a possibility out here. So what brings you to the beach today? Just wanting to relax?  \nB: Yeah, pretty much. I just finished up my summer classes and needed some time to myself before starting my new job next week.  \nA:That sounds rough. Are you excited for it? Or worried about how you'll balance everything with your personal life and other commitments you might have during this transitional period?\nB: Nervous? A little bit of both, honestly. But mostly excited. It should be a good experience. And the pay is great, so that's a plus.  \nA: Definitely. Well, I hope you enjoy the rest of your day here.  \nB: Thanks. You too.",
+        "speaker_tracks": {
+            "A": "/root/autodl-tmp/output_mixedAudios/processed_soda_3_processed_dialogues_part_20/SODA_PROCESSED--train--449689/A_track.wav",
+            "B": "/root/autodl-tmp/output_mixedAudios/processed_soda_3_processed_dialogues_part_20/SODA_PROCESSED--train--449689/B_track.wav"
+        },
+        "error_type": "error_after_interrupt",
+        "stereo_audio": "/root/autodl-tmp/output_mixedAudios/processed_soda_3_processed_dialogues_part_20/SODA_PROCESSED--train--449689/stereo_dialogue.wav",
+        "total_duration": 50.09668934240363,
+        "segments": [
+            {
+                "speaker": "A",
+                "text": "Hey there. Mind if I lay down next to you?",
+                "original_text": "Hey there. Mind if I lay down next to you?",
+                "start_time": 0,
+                "end_time": 2.4961451247165534,
+                "audio_file": "/root/autodl-tmp/output_mixedAudios/processed_soda_3_processed_dialogues_part_20/SODA_PROCESSED--train--449689/temp/line_0_A.wav",
+                "silence_duration": 0,
+                "is_interrupted": false
+            },
+            {
+                "speaker": "B",
+                "text": "No, go ahead.",
+                "original_text": "No, go ahead.",
+                "start_time": 3.0616233505922237,
+                "end_time": 4.257451014991316,
+                "audio_file": "/root/autodl-tmp/output_mixedAudios/processed_soda_3_processed_dialogues_part_20/SODA_PROCESSED--train--449689/temp/line_1_B.wav",
+                "silence_duration": 0.5654782258756702,
+                "is_interrupted": false
+            },
+            {
+                "speaker": "A",
+                "text": "Thanks. I needed a break from the sun. It's so hot today.",
+                "original_text": "Thanks. I needed a break from the sun. It's so hot today.",
+                "start_time": 4.673061027457998,
+                "end_time": 8.666893227004483,
+                "audio_file": "/root/autodl-tmp/output_mixedAudios/processed_soda_3_processed_dialogues_part_20/SODA_PROCESSED--train--449689/temp/line_2_A.wav",
+                "silence_duration": 0.41561001246668183,
+                "is_interrupted": false
+            },
+            {
+                "speaker": "B",
+                "text": "Yeah, it is. I'm trying to get a tan, but I don't want to get too dehydrated, so I'm keeping a bottle of water close by and reapplying sunscreen every hour to avoid any skin damage.",
+                "original_text": "Yeah, it is. I'm trying to get a tan, but I don't want to get too dehydrated, so I'm keeping a bottle of water close by and reapplying sunscreen every hour to avoid any skin damage.",
+                "start_time": 9.128191918953855,
+                "end_time": 19.01989259922596,
+                "audio_file": "/root/autodl-tmp/output_mixedAudios/processed_soda_3_processed_dialogues_part_20/SODA_PROCESSED--train--449689/temp/line_3_B.wav",
+                "silence_duration": 0.46129869194937123,
+                "is_interrupted": false
+            },
+            {
+                "speaker": "A",
+                "text": "Burnt? Yeah, that's definitely a possibility out here. So what brings you to the beach today? Just wanting to relax?",
+                "original_text": "Burnt? Yeah, that's definitely a possibility out here. So what brings you to the beach today? Just wanting to relax?",
+                "start_time": 19.43691572474219,
+                "end_time": 27.215600531998426,
+                "audio_file": "/root/autodl-tmp/output_mixedAudios/processed_soda_3_processed_dialogues_part_20/SODA_PROCESSED--train--449689/temp/line_4_A.wav",
+                "silence_duration": 0.4170231255162265,
+                "is_interrupted": false
+            },
+            {
+                "speaker": "B",
+                "text": "Yeah, pretty much. I just finished up my summer classes and needed some time to myself before starting my new job next week.",
+                "original_text": "Yeah, pretty much. I just finished up my summer classes and needed some time to myself before starting my new job next week.",
+                "start_time": 27.73206790619358,
+                "end_time": 34.08272550256547,
+                "audio_file": "/root/autodl-tmp/output_mixedAudios/processed_soda_3_processed_dialogues_part_20/SODA_PROCESSED--train--449689/temp/line_5_B.wav",
+                "silence_duration": 0.5164673741951538,
+                "is_interrupted": false
+            },
+            {
+                "speaker": "A",
+                "text": "That sounds rough. Are you excited for it? Or",
+                "original_text": "That sounds rough. Are you excited for it? Or [interrupt] worried about how you'll balance everything with your personal life and other commitments you might have during this transitional period?",
+                "start_time": 34.40566150397062,
+                "end_time": 44.703711390591934,
+                "audio_file": "/root/autodl-tmp/output_mixedAudios/processed_soda_3_processed_dialogues_part_20/SODA_PROCESSED--train--449689/temp/line_6_A.wav",
+                "silence_duration": 0.3229360014051523,
+                "is_interrupted": true,
+                "text_after_interrupt": "worried about how you'll balance everything with your personal life and other commitments you might have during this transitional period?"
+            },
+            {
+                "speaker": "B",
+                "text": "Nervous? A little bit of both, honestly. But mostly excited. It should be a good experience. And the pay is great, so that's a plus.",
+                "original_text": "Nervous? A little bit of both, honestly. But mostly excited. It should be a good experience. And the pay is great, so that's a plus.",
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+                "is_interrupted": false
+            },
+            {
+                "speaker": "A",
+                "text": "Definitely. Well, I hope you enjoy the rest of your day here.",
+                "original_text": "Definitely. Well, I hope you enjoy the rest of your day here.",
+                "start_time": 44.9023552612567,
+                "end_time": 48.78008768756056,
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+                "is_interrupted": false
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+            {
+                "speaker": "B",
+                "text": "Thanks. You too.",
+                "original_text": "Thanks. You too.",
+                "start_time": 49.1679089027611,
+                "end_time": 50.09670708870214,
+                "audio_file": "/root/autodl-tmp/output_mixedAudios/processed_soda_3_processed_dialogues_part_20/SODA_PROCESSED--train--449689/temp/line_9_B.wav",
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+                "is_interrupted": false
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+        "gt_score": 1
+    },
+    "SODA_PROCESSED--train--787791": {
+        "original_dialog_id": "",
+        "dialog_index": 787791,
+        "processed_dialogue": "A: You're welcome. I'm just glad I was able to stop it from happening.  \nB: Thank you so much for saving my life. I can't even begin to express how [interrupt] grateful I am for what you did. It means the world to me and I'll never forget your kindness and quick thinking in that moment.  \nA: Sorry to jump in, but are you sure you're okay? I mean, physically and emotionally?  \nB: I think so, but it's all still a bit of a blur. I don't know what would have happened if you hadn't been there. I'm just glad that you were in the right place at the right time.  \nA: Yeah, me too. But seriously, if you need anything—someone to talk to or whatever—don't hesitate to reach out, okay?  \nB: I really appreciate that. Thanks again, Antwain.  \nA: No problem. Take care.",
+        "clean_dialogue": "A: You're welcome. I'm just glad I was able to stop it from happening.  \nB:Thank you so much for saving my life. I can't even begin to express how grateful I am for what you did. It means the world to me and I'll never forget your kindness and quick thinking in that moment.\nA: Sorry to jump in, but are you sure you're okay? I mean, physically and emotionally?  \nB: I think so, but it's all still a bit of a blur. I don't know what would have happened if you hadn't been there. I'm just glad that you were in the right place at the right time.  \nA: Yeah, me too. But seriously, if you need anything—someone to talk to or whatever—don't hesitate to reach out, okay?  \nB: I really appreciate that. Thanks again, Antwain.  \nA: No problem. Take care.",
+        "speaker_tracks": {
+            "A": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_8/SODA_PROCESSED--train--787791/A_track.wav",
+            "B": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_8/SODA_PROCESSED--train--787791/B_track.wav"
+        },
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+        "stereo_audio": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_8/SODA_PROCESSED--train--787791/stereo_dialogue.wav",
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+        "segments": [
+            {
+                "speaker": "A",
+                "text": "You're welcome. I'm just glad I was able to stop it from happening.",
+                "original_text": "You're welcome. I'm just glad I was able to stop it from happening.",
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+                "is_interrupted": false
+            },
+            {
+                "speaker": "B",
+                "text": "Thank you so much for saving my life. I can't even begin to express how",
+                "original_text": "Thank you so much for saving my life. I can't even begin to express how [interrupt] grateful I am for what you did. It means the world to me and I'll never forget your kindness and quick thinking in that moment.",
+                "start_time": 4.756366963799184,
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+                "silence_duration": 0.5071152631189118,
+                "is_interrupted": true,
+                "text_after_interrupt": "grateful I am for what you did. It means the world to me and I'll never forget your kindness and quick thinking in that moment."
+            },
+            {
+                "speaker": "A",
+                "text": "Sorry to jump in, but are you sure you're okay? I mean, physically and emotionally?",
+                "original_text": "Sorry to jump in, but are you sure you're okay? I mean, physically and emotionally?",
+                "start_time": 8.726979208697143,
+                "end_time": 14.357818210964716,
+                "audio_file": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_8/SODA_PROCESSED--train--787791/temp/line_2_A.wav",
+                "silence_duration": 0.4049084459018305,
+                "is_interrupted": false
+            },
+            {
+                "speaker": "B",
+                "text": "I think so, but it's all still a bit of a blur. I don't know what would have happened if you hadn't been there. I'm just glad that you were in the right place at the right time.",
+                "original_text": "I think so, but it's all still a bit of a blur. I don't know what would have happened if you hadn't been there. I'm just glad that you were in the right place at the right time.",
+                "start_time": 14.861085984580113,
+                "end_time": 23.649838819047233,
+                "audio_file": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_8/SODA_PROCESSED--train--787791/temp/line_3_B.wav",
+                "silence_duration": 0.5032677736153957,
+                "is_interrupted": false
+            },
+            {
+                "speaker": "A",
+                "text": "Yeah, me too. But seriously, if you need anything—someone to talk to or whatever—don't hesitate to reach out, okay?",
+                "original_text": "Yeah, me too. But seriously, if you need anything—someone to talk to or whatever—don't hesitate to reach out, okay?",
+                "start_time": 24.145193415777634,
+                "end_time": 32.515987066571284,
+                "audio_file": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_8/SODA_PROCESSED--train--787791/temp/line_4_A.wav",
+                "silence_duration": 0.4953545967303996,
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+            {
+                "speaker": "B",
+                "text": "I really appreciate that. Thanks again, Antwain.",
+                "original_text": "I really appreciate that. Thanks again, Antwain.",
+                "start_time": 32.97180815148517,
+                "end_time": 35.68854284536272,
+                "audio_file": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_8/SODA_PROCESSED--train--787791/temp/line_5_B.wav",
+                "silence_duration": 0.4558210849138826,
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+            {
+                "speaker": "A",
+                "text": "No problem. Take care.",
+                "original_text": "No problem. Take care.",
+                "start_time": 35.99481454512998,
+                "end_time": 37.5273315519327,
+                "audio_file": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_8/SODA_PROCESSED--train--787791/temp/line_6_A.wav",
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+    },
+    "SODA_PROCESSED--train--179972": {
+        "original_dialog_id": "",
+        "dialog_index": 179972,
+        "processed_dialogue": "A: So, how did you like the book?  \nB: I loved it! The ending was so shocking, I couldn't believe what happened.  \nA: Sorry to interrupt, but I just have to ask—did you see that twist with the protagonist coming? I was totally blindsided.  \nB: No, I didn't see it coming at all! It was so unexpected.  \nA: Yeah, I know. I couldn't put it down.  \nB: Me neither. I'm so glad you wanted to read it.  \nA: Yeah, I was curious about the protagonist's journey and how it would [interrupt] evolve, especially after that major setback when they had to completely rethink their entire approach to solving the central conflict.  \nB: Oh, speaking of the journey, what did you think about that part where the protagonist had to make that impossible choice? It really stuck with me.  \nA: It was definitely a rollercoaster ride. There were so many twists and turns.  \nB: I know! I didn't see any of them coming.  \nA: That's what made it so great. It kept you guessing the whole time.  \nB: Definitely. It was a great book. Thanks for lending it to me.",
+        "clean_dialogue": "A: So, how did you like the book?  \nB: I loved it! The ending was so shocking, I couldn't believe what happened.  \nA: Sorry to interrupt, but I just have to ask—did you see that twist with the protagonist coming? I was totally blindsided.  \nB: No, I didn't see it coming at all! It was so unexpected.  \nA: Yeah, I know. I couldn't put it down.  \nB: Me neither. I'm so glad you wanted to read it.  \nA:Yeah, I was curious about the protagonist's journey and how it would evolve, especially after that major setback when they had to completely rethink their entire approach to solving the central conflict.\nB: Oh, speaking of the journey, what did you think about that part where the protagonist had to make that impossible choice? It really stuck with me.  \nA: It was definitely a rollercoaster ride. There were so many twists and turns.  \nB: I know! I didn't see any of them coming.  \nA: That's what made it so great. It kept you guessing the whole time.  \nB: Definitely. It was a great book. Thanks for lending it to me.",
+        "speaker_tracks": {
+            "A": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_7/SODA_PROCESSED--train--179972/A_track.wav",
+            "B": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_7/SODA_PROCESSED--train--179972/B_track.wav"
+        },
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+        "stereo_audio": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_7/SODA_PROCESSED--train--179972/stereo_dialogue.wav",
+        "total_duration": 53.57845804988662,
+        "segments": [
+            {
+                "speaker": "A",
+                "text": "So, how did you like the book?",
+                "original_text": "So, how did you like the book?",
+                "start_time": 0,
+                "end_time": 1.6950566893424037,
+                "audio_file": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_7/SODA_PROCESSED--train--179972/temp/line_0_A.wav",
+                "silence_duration": 0,
+                "is_interrupted": false
+            },
+            {
+                "speaker": "B",
+                "text": "I loved it! The ending was so shocking, I couldn't believe what happened.",
+                "original_text": "I loved it! The ending was so shocking, I couldn't believe what happened.",
+                "start_time": 2.1792484824735485,
+                "end_time": 5.871221271589195,
+                "audio_file": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_7/SODA_PROCESSED--train--179972/temp/line_1_B.wav",
+                "silence_duration": 0.4841917931311449,
+                "is_interrupted": false
+            },
+            {
+                "speaker": "A",
+                "text": "Sorry to interrupt, but I just have to ask—did you see that twist with the protagonist coming? I was totally blindsided.",
+                "original_text": "Sorry to interrupt, but I just have to ask—did you see that twist with the protagonist coming? I was totally blindsided.",
+                "start_time": 6.47038511683308,
+                "end_time": 14.504489425223102,
+                "audio_file": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_7/SODA_PROCESSED--train--179972/temp/line_2_A.wav",
+                "silence_duration": 0.5991638452438857,
+                "is_interrupted": false
+            },
+            {
+                "speaker": "B",
+                "text": "No, I didn't see it coming at all! It was so unexpected.",
+                "original_text": "No, I didn't see it coming at all! It was so unexpected.",
+                "start_time": 15.012397119017507,
+                "end_time": 18.448950406999366,
+                "audio_file": "/root/autodl-tmp/output_overlapslong/processed_soda_3_processed_dialogues_part_7/SODA_PROCESSED--train--179972/temp/line_3_B.wav",
+                "silence_duration": 0.507907693794404,
+                "is_interrupted": false
+            },
+            {
+                "speaker": "A",
+                "text": "Yeah, I know. I couldn't put it down.",
+                "original_text": "Yeah, I know. I couldn't put it down.",
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+                "text": "Me neither. I'm so glad you wanted to read it.",
+                "original_text": "Me neither. I'm so glad you wanted to read it.",
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+                "text": "Yeah, I was curious about the protagonist's journey and how it would",
+                "original_text": "Yeah, I was curious about the protagonist's journey and how it would [interrupt] evolve, especially after that major setback when they had to completely rethink their entire approach to solving the central conflict.",
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+                "text_after_interrupt": "evolve, especially after that major setback when they had to completely rethink their entire approach to solving the central conflict."
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+                "text": "Oh, speaking of the journey, what did you think about that part where the protagonist had to make that impossible choice? It really stuck with me.",
+                "original_text": "Oh, speaking of the journey, what did you think about that part where the protagonist had to make that impossible choice? It really stuck with me.",
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+                "text": "It was definitely a rollercoaster ride. There were so many twists and turns.",
+                "original_text": "It was definitely a rollercoaster ride. There were so many twists and turns.",
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+                "text": "I know! I didn't see any of them coming.",
+                "original_text": "I know! I didn't see any of them coming.",
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+                "text": "That's what made it so great. It kept you guessing the whole time.",
+                "original_text": "That's what made it so great. It kept you guessing the whole time.",
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+                "text": "Definitely. It was a great book. Thanks for lending it to me.",
+                "original_text": "Definitely. It was a great book. Thanks for lending it to me.",
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+          "text": "I'm glad to hear that! Speaking of the team, do you think we should plan more team-building activities to maintain this positive environment?",
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+          "text": "Hey Ceanna, I saw that you were doing the reports for the group project. Do you want me to help you with",
+          "original_text": "Hey Ceanna, I saw that you were doing the reports for the group project. Do you want me to help you with [interrupt] organizing the sections or proofreading? I've got some experience with formatting academic papers and making sure all the citations are properly aligned.",
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+    },
+    "SODA_PROCESSED--train--737676": {
+      "original_text": "A: Hey, Miraya. I'm sorry about what happened with the car last night. I was really angry and I didn't mean to take it out on your [interrupt] car like that, especially since it's your most valuable possession and you've always taken such good care of it. I know it was wrong, and I regret it deeply.\nB: I understand, Stephon. But what exactly made you so angry? Was it something specific about what happened earlier in the week?\nA: Yeah, it did. I was really mad at you for a while after that. But I know it wasn't your fault and I shouldn't have taken it out on your car like that.\nB: Well, since you're being honest and apologetic about it, I don't think there's anything else you need to do other than maybe just be more mindful in the future about how you express your  emotions, especially when you're upset, because lashing out at objects or people never really solves the underlying issue and often makes things worse.\nA: Absolutely, I'll work on that. And I really appreciate you being so understanding about this. Thanks for giving me the chance to talk it out.",
+      "cleaned_text": "A:Hey, Miraya. I'm sorry about what happened with the car last night. I was really angry and I didn't mean to take it out on your car like that, especially since it's your most valuable possession and you've always taken such good care of it. I know it was wrong, and I regret it deeply.\nB: I understand, Stephon. But what exactly made you so angry? Was it something specific about what happened earlier in the week?\nA: Yeah, it did. I was really mad at you for a while after that. But I know it wasn't your fault and I shouldn't have taken it out on your car like that.\nB: Well, since you're being honest and apologetic about it, I don't think there's anything else you need to do other than maybe just be more mindful in the future about how you express your  emotions, especially when you're upset, because lashing out at objects or people never really solves the underlying issue and often makes things worse.\nA: Absolutely, I'll work on that. And I really appreciate you being so understanding about this. Thanks for giving me the chance to talk it out.",
+      "total_duration": 52.89809523809524,
+      "stereo_audio": "/root/autodl-tmp/output_matches_soda/SODA_PROCESSED--train--737676/stereo_dialogue.wav",
+      "speaker_tracks": {
+        "A": "/root/autodl-tmp/output_matches_soda/SODA_PROCESSED--train--737676/A_track.wav",
+        "B": "/root/autodl-tmp/output_matches_soda/SODA_PROCESSED--train--737676/B_track.wav"
+      },
+      "error_type": "error_after_interrupt",
+      "segments": [
+        {
+          "speaker": "A",
+          "text": "Hey, Miraya. I'm sorry about what happened with the car last night. I was really angry and I didn't mean to take it out on your",
+          "original_text": "Hey, Miraya. I'm sorry about what happened with the car last night. I was really angry and I didn't mean to take it out on your [interrupt] car like that, especially since it's your most valuable possession and you've always taken such good care of it. I know it was wrong, and I regret it deeply.",
+          "start_time": 0,
+          "end_time": 16.938956916099773,
+          "audio_file": "/root/autodl-tmp/output_matches_soda/SODA_PROCESSED--train--737676/temp/line_0_A.wav",
+          "silence_duration": 0,
+          "is_interrupted": true,
+          "text_after_interrupt": "car like that, especially since it's your most valuable possession and you've always taken such good care of it. I know it was wrong, and I regret it deeply."
+        },
+        {
+          "speaker": "B",
+          "text": "I understand, Stephon. But what exactly made you so angry? Was it something specific about what happened earlier in the week?",
+          "original_text": "I understand, Stephon. But what exactly made you so angry? Was it something specific about what happened earlier in the week?",
+          "start_time": 8.753922902494331,
+          "end_time": 15.348390022675737,
+          "audio_file": "/root/autodl-tmp/output_matches_soda/SODA_PROCESSED--train--737676/temp/line_1_B.wav",
+          "silence_duration": 0.5553895116856843,
+          "is_interrupted": false
+        },
+        {
+          "speaker": "A",
+          "text": "Yeah, it did. I was really mad at you for a while after that. But I know it wasn't your fault and I shouldn't have taken it out on your car like that.",
+          "original_text": "Yeah, it did. I was really mad at you for a while after that. But I know it wasn't your fault and I shouldn't have taken it out on your car like that.",
+          "start_time": 17.329799609194744,
+          "end_time": 26.582951536632386,
+          "audio_file": "/root/autodl-tmp/output_matches_soda/SODA_PROCESSED--train--737676/temp/line_2_A.wav",
+          "silence_duration": 0.3908426930949695,
+          "is_interrupted": false
+        },
+        {
+          "speaker": "B",
+          "text": "Well, since you're being honest and apologetic about it, I don't think there's anything else you need to do other than maybe just be more mindful in the future about how you express your  emotions, especially when you're upset, because lashing out at objects or people never really solves the underlying issue and often makes things worse.",
+          "original_text": "Well, since you're being honest and apologetic about it, I don't think there's anything else you need to do other than maybe just be more mindful in the future about how you express your  emotions, especially when you're upset, because lashing out at objects or people never really solves the underlying issue and often makes things worse.",
+          "start_time": 26.900238001740547,
+          "end_time": 44.05978448700132,
+          "audio_file": "/root/autodl-tmp/output_matches_soda/SODA_PROCESSED--train--737676/temp/line_3_B.wav",
+          "silence_duration": 0.3172864651081615,
+          "is_interrupted": false
+        },
+        {
+          "speaker": "A",
+          "text": "Absolutely, I'll work on that. And I really appreciate you being so understanding about this. Thanks for giving me the chance to talk it out.",
+          "original_text": "Absolutely, I'll work on that. And I really appreciate you being so understanding about this. Thanks for giving me the chance to talk it out.",
+          "start_time": 44.64342590433178,
+          "end_time": 52.8981197818828,
+          "audio_file": "/root/autodl-tmp/output_matches_soda/SODA_PROCESSED--train--737676/temp/line_4_A.wav",
+          "silence_duration": 0.5836414173304574,
+          "is_interrupted": false
+        }
+      ]
+    }
+}
\ No newline at end of file
diff --git a/ms-swift/swift/cli/__pycache__/main.cpython-310.pyc b/ms-swift/swift/cli/__pycache__/main.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..97881fca09abddc2cbb1bb0737888e078ea1a95b
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diff --git a/ms-swift/swift/cli/_megatron/__init__.py b/ms-swift/swift/cli/_megatron/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/ms-swift/swift/cli/deploy.py b/ms-swift/swift/cli/deploy.py
new file mode 100644
index 0000000000000000000000000000000000000000..7cf4784fb074012e6de151e55a4036e0e584299c
--- /dev/null
+++ b/ms-swift/swift/cli/deploy.py
@@ -0,0 +1,5 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from swift.llm import deploy_main
+
+if __name__ == '__main__':
+    deploy_main()
diff --git a/ms-swift/swift/cli/sample.py b/ms-swift/swift/cli/sample.py
new file mode 100644
index 0000000000000000000000000000000000000000..b5938421632cfe3660499425087ed5cf0ac92511
--- /dev/null
+++ b/ms-swift/swift/cli/sample.py
@@ -0,0 +1,5 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from swift.llm.sampling import sampling_main
+
+if __name__ == '__main__':
+    sampling_main()
diff --git a/ms-swift/swift/cli/sft.py b/ms-swift/swift/cli/sft.py
new file mode 100644
index 0000000000000000000000000000000000000000..b7a7d74d62e233350571b75feccfcf27ba87d01f
--- /dev/null
+++ b/ms-swift/swift/cli/sft.py
@@ -0,0 +1,7 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import os
+
+from swift.llm import sft_main
+
+if __name__ == '__main__':
+    sft_main()
diff --git a/ms-swift/swift/cli/web_ui.py b/ms-swift/swift/cli/web_ui.py
new file mode 100644
index 0000000000000000000000000000000000000000..ba26fa68beccaf868f90469bbe904455e2d051dd
--- /dev/null
+++ b/ms-swift/swift/cli/web_ui.py
@@ -0,0 +1,5 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from swift.ui import webui_main
+
+if __name__ == '__main__':
+    webui_main()
diff --git a/ms-swift/swift/hub/__init__.py b/ms-swift/swift/hub/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a4d52148260aa20f733963942230941b62ba4d0
--- /dev/null
+++ b/ms-swift/swift/hub/__init__.py
@@ -0,0 +1 @@
+from .hub import HFHub, MSHub, get_hub
diff --git a/ms-swift/swift/llm/__init__.py b/ms-swift/swift/llm/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0240144a9e4b0f98964e4708c1c53d1a39cbae4a
--- /dev/null
+++ b/ms-swift/swift/llm/__init__.py
@@ -0,0 +1,85 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from typing import TYPE_CHECKING
+
+from swift.utils.import_utils import _LazyModule
+
+if TYPE_CHECKING:
+    # Recommend using `xxx_main`
+    from .infer import (VllmEngine, RequestConfig, LmdeployEngine, PtEngine, InferEngine, infer_main, deploy_main,
+                        InferClient, run_deploy, AdapterRequest, prepare_model_template, BaseInferEngine, rollout_main)
+    from .export import (export_main, merge_lora, quantize_model, export_to_ollama)
+    from .eval import eval_main
+    from .app import app_main
+    from .train import sft_main, pt_main, rlhf_main, get_multimodal_target_regex
+    from .sampling import sampling_main
+    from .argument import (EvalArguments, InferArguments, TrainArguments, ExportArguments, DeployArguments,
+                           RLHFArguments, WebUIArguments, BaseArguments, AppArguments, SamplingArguments)
+    from .template import (TEMPLATE_MAPPING, Template, Word, get_template, TemplateType, register_template,
+                           TemplateInputs, TemplateMeta, get_template_meta, InferRequest, load_image, MaxLengthError,
+                           load_file, draw_bbox)
+    from .model import (register_model, MODEL_MAPPING, ModelType, get_model_tokenizer, safe_snapshot_download,
+                        HfConfigFactory, ModelInfo, ModelMeta, ModelKeys, register_model_arch, MultiModelKeys,
+                        ModelArch, get_model_arch, MODEL_ARCH_MAPPING, get_model_info_meta, get_model_name, ModelGroup,
+                        Model, get_model_tokenizer_with_flash_attn, get_model_tokenizer_multimodal, load_by_unsloth,
+                        git_clone_github, get_matched_model_meta)
+    from .dataset import (AlpacaPreprocessor, ResponsePreprocessor, MessagesPreprocessor, AutoPreprocessor,
+                          DATASET_MAPPING, MediaResource, register_dataset, register_dataset_info, EncodePreprocessor,
+                          LazyLLMDataset, load_dataset, DATASET_TYPE, sample_dataset, RowPreprocessor, DatasetMeta,
+                          HfDataset, SubsetDataset)
+    from .utils import (deep_getattr, to_float_dtype, to_device, History, Messages, history_to_messages,
+                        messages_to_history, Processor, save_checkpoint, ProcessorMixin,
+                        get_temporary_cache_files_directory, get_cache_dir, is_moe_model)
+    from .base import SwiftPipeline
+    from .data_loader import DataLoaderDispatcher, DataLoaderShard, BatchSamplerShard
+else:
+    _import_structure = {
+        'rlhf': ['rlhf_main'],
+        'infer': [
+            'deploy_main', 'VllmEngine', 'RequestConfig', 'LmdeployEngine', 'PtEngine', 'infer_main', 'InferClient',
+            'run_deploy', 'InferEngine', 'AdapterRequest', 'prepare_model_template', 'BaseInferEngine', 'rollout_main'
+        ],
+        'export': ['export_main', 'merge_lora', 'quantize_model', 'export_to_ollama'],
+        'app': ['app_main'],
+        'eval': ['eval_main'],
+        'train': ['sft_main', 'pt_main', 'rlhf_main', 'get_multimodal_target_regex'],
+        'sampling': ['sampling_main'],
+        'argument': [
+            'EvalArguments', 'InferArguments', 'TrainArguments', 'ExportArguments', 'WebUIArguments', 'DeployArguments',
+            'RLHFArguments', 'BaseArguments', 'AppArguments', 'SamplingArguments'
+        ],
+        'template': [
+            'TEMPLATE_MAPPING', 'Template', 'Word', 'get_template', 'TemplateType', 'register_template',
+            'TemplateInputs', 'TemplateMeta', 'get_template_meta', 'InferRequest', 'load_image', 'MaxLengthError',
+            'load_file', 'draw_bbox'
+        ],
+        'model': [
+            'MODEL_MAPPING', 'ModelType', 'get_model_tokenizer', 'safe_snapshot_download', 'HfConfigFactory',
+            'ModelInfo', 'ModelMeta', 'ModelKeys', 'register_model_arch', 'MultiModelKeys', 'ModelArch',
+            'MODEL_ARCH_MAPPING', 'get_model_arch', 'get_model_info_meta', 'get_model_name', 'register_model',
+            'ModelGroup', 'Model', 'get_model_tokenizer_with_flash_attn', 'get_model_tokenizer_multimodal',
+            'load_by_unsloth', 'git_clone_github', 'get_matched_model_meta'
+        ],
+        'dataset': [
+            'AlpacaPreprocessor', 'MessagesPreprocessor', 'AutoPreprocessor', 'DATASET_MAPPING', 'MediaResource',
+            'register_dataset', 'register_dataset_info', 'EncodePreprocessor', 'LazyLLMDataset', 'load_dataset',
+            'DATASET_TYPE', 'sample_dataset', 'RowPreprocessor', 'ResponsePreprocessor', 'DatasetMeta', 'HfDataset',
+            'SubsetDataset'
+        ],
+        'utils': [
+            'deep_getattr', 'to_device', 'to_float_dtype', 'History', 'Messages', 'history_to_messages',
+            'messages_to_history', 'Processor', 'save_checkpoint', 'ProcessorMixin',
+            'get_temporary_cache_files_directory', 'get_cache_dir', 'is_moe_model'
+        ],
+        'base': ['SwiftPipeline'],
+        'data_loader': ['DataLoaderDispatcher', 'DataLoaderShard', 'BatchSamplerShard'],
+    }
+
+    import sys
+
+    sys.modules[__name__] = _LazyModule(
+        __name__,
+        globals()['__file__'],
+        _import_structure,
+        module_spec=__spec__,
+        extra_objects={},
+    )
diff --git a/ms-swift/swift/llm/__pycache__/base.cpython-310.pyc b/ms-swift/swift/llm/__pycache__/base.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..85af5d9cea5421f024c248c7e6f0bdf5bb71f523
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diff --git a/ms-swift/swift/llm/app/build_ui.py b/ms-swift/swift/llm/app/build_ui.py
new file mode 100644
index 0000000000000000000000000000000000000000..ab1a5a90030f29a0bf9c2f814490e5b1d2a637a0
--- /dev/null
+++ b/ms-swift/swift/llm/app/build_ui.py
@@ -0,0 +1,139 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from functools import partial
+from typing import Literal, Optional
+
+import gradio as gr
+
+from swift.utils import get_file_mm_type
+from ..utils import History
+from .locale import locale_mapping
+
+
+def clear_session():
+    return '', [], []
+
+
+def modify_system_session(system: str):
+    system = system or ''
+    return system, '', [], []
+
+
+def _history_to_messages(history: History, system: Optional[str]):
+    messages = []
+    if system is not None:
+        messages.append({'role': 'system', 'content': system})
+    content = []
+    for h in history:
+        assert isinstance(h, (list, tuple))
+        if isinstance(h[0], tuple):
+            assert h[1] is None
+            file_path = h[0][0]
+            try:
+                mm_type = get_file_mm_type(file_path)
+                content.append({'type': mm_type, mm_type: file_path})
+            except ValueError:
+                with open(file_path, 'r', encoding='utf-8') as f:
+                    content.append({'type': 'text', 'text': f.read()})
+        else:
+            content.append({'type': 'text', 'text': h[0]})
+            messages.append({'role': 'user', 'content': content})
+            if h[1] is not None:
+                messages.append({'role': 'assistant', 'content': h[1]})
+            content = []
+    return messages
+
+
+def _parse_text(text: str) -> str:
+    mapping = {'<': '&lt;', '>': '&gt;', '*': '&ast;'}
+    for k, v in mapping.items():
+        text = text.replace(k, v)
+    return text
+
+
+async def model_chat(history: History, real_history: History, system: Optional[str], *, client, model: str,
+                     request_config: Optional['RequestConfig']):
+    if history:
+        from swift.llm import InferRequest
+
+        messages = _history_to_messages(real_history, system)
+        resp_or_gen = await client.infer_async(
+            InferRequest(messages=messages), request_config=request_config, model=model)
+        if request_config and request_config.stream:
+            response = ''
+            async for resp in resp_or_gen:
+                if resp is None:
+                    continue
+                response += resp.choices[0].delta.content
+                history[-1][1] = _parse_text(response)
+                real_history[-1][-1] = response
+                yield history, real_history
+
+        else:
+            response = resp_or_gen.choices[0].message.content
+            history[-1][1] = _parse_text(response)
+            real_history[-1][-1] = response
+            yield history, real_history
+
+    else:
+        yield [], []
+
+
+def add_text(history: History, real_history: History, query: str):
+    history = history or []
+    real_history = real_history or []
+    history.append([_parse_text(query), None])
+    real_history.append([query, None])
+    return history, real_history, ''
+
+
+def add_file(history: History, real_history: History, file):
+    history = history or []
+    real_history = real_history or []
+    history.append([(file.name, ), None])
+    real_history.append([(file.name, ), None])
+    return history, real_history
+
+
+def build_ui(base_url: str,
+             model: Optional[str] = None,
+             *,
+             request_config: Optional['RequestConfig'] = None,
+             is_multimodal: bool = True,
+             studio_title: Optional[str] = None,
+             lang: Literal['en', 'zh'] = 'en',
+             default_system: Optional[str] = None):
+    from swift.llm import InferClient
+    client = InferClient(base_url=base_url)
+    model = model or client.models[0]
+    studio_title = studio_title or model
+    with gr.Blocks() as demo:
+        gr.Markdown(f'<center><font size=8>{studio_title}</center>')
+        with gr.Row():
+            with gr.Column(scale=3):
+                system_input = gr.Textbox(value=default_system, lines=1, label='System')
+            with gr.Column(scale=1):
+                modify_system = gr.Button(locale_mapping['modify_system'][lang], scale=2)
+        chatbot = gr.Chatbot(label='Chatbot')
+        textbox = gr.Textbox(lines=1, label='Input')
+
+        with gr.Row():
+            upload = gr.UploadButton(locale_mapping['upload'][lang], visible=is_multimodal)
+            submit = gr.Button(locale_mapping['submit'][lang])
+            regenerate = gr.Button(locale_mapping['regenerate'][lang])
+            clear_history = gr.Button(locale_mapping['clear_history'][lang])
+
+        system_state = gr.State(value=default_system)
+        history_state = gr.State(value=[])
+        model_chat_ = partial(model_chat, client=client, model=model, request_config=request_config)
+
+        upload.upload(add_file, [chatbot, history_state, upload], [chatbot, history_state])
+        textbox.submit(add_text, [chatbot, history_state, textbox],
+                       [chatbot, history_state, textbox]).then(model_chat_, [chatbot, history_state, system_state],
+                                                               [chatbot, history_state])
+        submit.click(add_text, [chatbot, history_state, textbox],
+                     [chatbot, history_state, textbox]).then(model_chat_, [chatbot, history_state, system_state],
+                                                             [chatbot, history_state])
+        regenerate.click(model_chat_, [chatbot, history_state, system_state], [chatbot, history_state])
+        clear_history.click(clear_session, [], [textbox, chatbot, history_state])
+        modify_system.click(modify_system_session, [system_input], [system_state, textbox, chatbot, history_state])
+    return demo
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diff --git a/ms-swift/swift/llm/argument/base_args/base_args.py b/ms-swift/swift/llm/argument/base_args/base_args.py
new file mode 100644
index 0000000000000000000000000000000000000000..4b8c92c292fb853d28ba74f1f2f0db7355aceaae
--- /dev/null
+++ b/ms-swift/swift/llm/argument/base_args/base_args.py
@@ -0,0 +1,268 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import os
+from dataclasses import dataclass, field, fields
+from typing import Any, Dict, List, Literal, Optional, Union
+
+import json
+
+from swift.hub import get_hub
+from swift.llm import Processor, Template, get_model_tokenizer, get_template, load_by_unsloth, safe_snapshot_download
+from swift.llm.utils import get_ckpt_dir
+from swift.plugin import extra_tuners
+from swift.utils import (check_json_format, get_dist_setting, get_logger, import_external_file, is_dist, is_master,
+                         set_device, use_hf_hub)
+from .data_args import DataArguments
+from .generation_args import GenerationArguments
+from .model_args import ModelArguments
+from .quant_args import QuantizeArguments
+from .template_args import TemplateArguments
+
+logger = get_logger()
+
+
+def get_supported_tuners():
+    return {'lora', 'full', 'longlora', 'adalora', 'llamapro', 'adapter', 'vera', 'boft', 'fourierft', 'reft', 'bone'
+            } | set(extra_tuners.keys())
+
+
+@dataclass
+class CompatArguments:
+    ckpt_dir: Optional[str] = None
+    lora_modules: List[str] = field(default_factory=list)
+
+    def _handle_ckpt_dir(self: 'BaseArguments'):
+        assert os.path.isdir(self.ckpt_dir), f'self.ckpt_dir: {self.ckpt_dir}'
+        if (os.path.exists(os.path.join(self.ckpt_dir, 'adapter_config.json'))
+                or os.path.exists(os.path.join(self.ckpt_dir, 'default', 'adapter_config.json'))
+                or os.path.exists(os.path.join(self.ckpt_dir, 'reft'))):
+            if self.ckpt_dir in self.adapters:
+                return
+            self.adapters.insert(0, self.ckpt_dir)
+        else:
+            self.model = self.ckpt_dir
+        self.ckpt_dir = None
+
+    def __post_init__(self: 'BaseArguments'):
+        if self.ckpt_dir is not None:
+            self._handle_ckpt_dir()
+
+        if len(self.lora_modules) > 0:
+            self.adapters += self.lora_modules
+
+
+@dataclass
+class BaseArguments(CompatArguments, GenerationArguments, QuantizeArguments, DataArguments, TemplateArguments,
+                    ModelArguments):
+    """
+    BaseArguments class is a dataclass that inherits from multiple argument classes:
+    GenerationArguments, QuantizeArguments, DataArguments, TemplateArguments, ModelArguments.
+
+    Args:
+        tuner_backend(str): Support peft or unsloth.
+        train_type(str): The training type, support all supported tuners and `full`.
+        seed (int): Random seed for reproducibility. Default is 42.
+        model_kwargs (Optional[str]): Additional keyword arguments for the model. Default is None.
+        load_data_args (bool): Flag to determine if dataset configuration should be loaded. Default is False.
+        use_hf (bool): Flag to determine if Hugging Face should be used. Default is False.
+        hub_token (Optional[str]): SDK token for authentication. Default is None.
+        custom_register_path (List[str]): Path to custom .py file for dataset registration. Default is None.
+        ignore_args_error (bool): Flag to ignore argument errors for notebook compatibility. Default is False.
+        use_swift_lora (bool): Use swift lora, a compatible argument
+    """
+    tuner_backend: Literal['peft', 'unsloth'] = 'peft'
+    train_type: str = field(default='lora', metadata={'help': f'train_type choices: {list(get_supported_tuners())}'})
+    adapters: List[str] = field(default_factory=list)
+    external_plugins: List[str] = field(default_factory=list)
+
+    seed: int = 42
+    model_kwargs: Optional[Union[dict, str]] = None
+    load_args: bool = True
+    load_data_args: bool = False
+
+    use_hf: bool = False
+    # None: use env var `MODELSCOPE_API_TOKEN`
+    hub_token: Optional[str] = field(
+        default=None, metadata={'help': 'SDK token can be found in https://modelscope.cn/my/myaccesstoken'})
+    custom_register_path: List[str] = field(default_factory=list)  # .py
+
+    # extra
+    ignore_args_error: bool = False  # True: notebook compatibility
+    use_swift_lora: bool = False  # True for using tuner_backend == swift, don't specify this unless you know what you are doing # noqa
+
+    def _prepare_training_args(self, training_args: Dict[str, Any]) -> None:
+        pass
+
+    def _init_custom_register(self) -> None:
+        """Register custom .py file to datasets"""
+        if isinstance(self.custom_register_path, str):
+            self.custom_register_path = [self.custom_register_path]
+        if not self.custom_register_path:
+            return
+        for path in self.custom_register_path:
+            import_external_file(path)
+        logger.info(f'Successfully registered {self.custom_register_path}.')
+
+    def _import_external_plugins(self):
+        if isinstance(self.external_plugins, str):
+            self.external_plugins = [self.external_plugins]
+        if not self.external_plugins:
+            return
+        for external_plugin in self.external_plugins:
+            import_external_file(external_plugin)
+        logger.info(f'Successfully imported external_plugins: {self.external_plugins}.')
+
+    @staticmethod
+    def _check_is_adapter(adapter_dir: str) -> bool:
+        if (os.path.exists(os.path.join(adapter_dir, 'adapter_config.json'))
+                or os.path.exists(os.path.join(adapter_dir, 'default', 'adapter_config.json'))
+                or os.path.exists(os.path.join(adapter_dir, 'reft'))):
+            return True
+        return False
+
+    def _init_adapters(self):
+        if isinstance(self.adapters, str):
+            self.adapters = [self.adapters]
+        self.adapters = [
+            safe_snapshot_download(adapter, use_hf=self.use_hf, hub_token=self.hub_token) for adapter in self.adapters
+        ]
+
+    def __post_init__(self):
+        if self.use_hf or use_hf_hub():
+            self.use_hf = True
+            os.environ['USE_HF'] = '1'
+        CompatArguments.__post_init__(self)
+        self._init_adapters()
+        self._init_ckpt_dir()
+        self._init_custom_register()
+        self._import_external_plugins()
+        self._init_model_kwargs()
+        # The Seq2SeqTrainingArguments has a property called world_size, which cannot be assigned a value.
+        self.rank, self.local_rank, self.global_world_size, self.local_world_size = get_dist_setting()
+        logger.info(f'rank: {self.rank}, local_rank: {self.local_rank}, '
+                    f'world_size: {self.global_world_size}, local_world_size: {self.local_world_size}')
+        if self.train_type not in extra_tuners:
+            for adapter in self.adapters:
+                assert self._check_is_adapter(adapter), (
+                    f'`{adapter}` is not an adapter, please try using `--model` to pass it.')
+        ModelArguments.__post_init__(self)
+        QuantizeArguments.__post_init__(self)
+        TemplateArguments.__post_init__(self)
+        DataArguments.__post_init__(self)
+
+        self.hub = get_hub(self.use_hf)
+        if self.hub.try_login(self.hub_token):
+            logger.info('hub login successful!')
+
+    def _init_model_kwargs(self):
+        """Prepare model kwargs and set them to the env"""
+        self.model_kwargs: Dict[str, Any] = self.parse_to_dict(self.model_kwargs)
+        for k, v in self.model_kwargs.items():
+            k = k.upper()
+            os.environ[k] = str(v)
+
+    @property
+    def is_adapter(self) -> bool:
+        return self.train_type not in {'full'}
+
+    @property
+    def supported_tuners(self):
+        return get_supported_tuners()
+
+    @property
+    def adapters_can_be_merged(self):
+        return {'lora', 'longlora', 'llamapro', 'adalora'}
+
+    @classmethod
+    def from_pretrained(cls, checkpoint_dir: str):
+        self = super().__new__(cls)
+        self.load_data_args = True
+        self.ckpt_dir = checkpoint_dir
+        self.load_args_from_ckpt()
+        all_keys = list(f.name for f in fields(BaseArguments))
+        for key in all_keys:
+            if not hasattr(self, key):
+                setattr(self, key, None)
+        return self
+
+    def _init_ckpt_dir(self, adapters=None):
+        # compat megatron
+        model = self.model or getattr(self, 'mcore_model', None) or getattr(self, 'load', None)
+        self.ckpt_dir = get_ckpt_dir(model, adapters or self.adapters)
+        if self.ckpt_dir and self.load_args:
+            self.load_args_from_ckpt()
+
+    def load_args_from_ckpt(self) -> None:
+        from ..train_args import TrainArguments
+        args_path = os.path.join(self.ckpt_dir, 'args.json')
+        assert os.path.exists(args_path), f'args_path: {args_path}'
+        with open(args_path, 'r', encoding='utf-8') as f:
+            old_args = json.load(f)
+        all_keys = list(f.name for f in fields(BaseArguments))
+        data_keys = list(f.name for f in fields(DataArguments))
+        load_keys = [
+            # quant_args
+            'bnb_4bit_quant_type',
+            'bnb_4bit_use_double_quant',
+            # base_args
+            'train_type',
+            'tuner_backend',
+            'use_swift_lora',
+            # data_args
+            'model_name',
+            'model_author',
+            'split_dataset_ratio',
+            # template_args
+            'use_chat_template',
+        ]
+        skip_keys = list(f.name for f in fields(GenerationArguments) + fields(CompatArguments)) + ['adapters']
+        if not isinstance(self, TrainArguments):
+            skip_keys += ['max_length']
+        all_keys = set(all_keys) - set(skip_keys)
+        for key, old_value in old_args.items():
+            if key not in all_keys or old_value is None:
+                continue
+            if not self.load_data_args and key in data_keys:
+                continue
+            value = getattr(self, key, None)
+            if value is None or isinstance(value, (list, tuple)) and len(value) == 0 or key in load_keys:
+                setattr(self, key, old_value)
+        logger.info(f'Successfully loaded {args_path}.')
+
+    def save_args(self, output_dir=None) -> None:
+        if is_master():
+            output_dir = output_dir or self.output_dir
+            os.makedirs(output_dir, exist_ok=True)
+            fpath = os.path.join(output_dir, 'args.json')
+            logger.info(f'The {self.__class__.__name__} will be saved in: {fpath}')
+            with open(fpath, 'w', encoding='utf-8') as f:
+                json.dump(check_json_format(self.__dict__), f, ensure_ascii=False, indent=2)
+
+    def _init_device(self):
+        if is_dist():
+            set_device()
+
+    def get_template(self, processor: 'Processor', template_type: Optional[str] = None) -> 'Template':
+        template_kwargs = self.get_template_kwargs()
+        template_type = template_type or self.template
+        template = get_template(template_type, processor, **template_kwargs)
+        return template
+
+    def get_model_processor(self,
+                            *,
+                            model=None,
+                            model_type=None,
+                            model_revision=None,
+                            task_type=None,
+                            num_labels=None,
+                            **kwargs):
+        if self.tuner_backend == 'unsloth':
+            return load_by_unsloth(self)
+        kwargs.update(self.get_model_kwargs())
+        # compat rlhf
+        kwargs['model_id_or_path'] = model or self.model
+        kwargs['model_type'] = model_type or self.model_type
+        kwargs['model_revision'] = model_revision or self.model_revision
+        kwargs['task_type'] = task_type or self.task_type
+        kwargs['num_labels'] = num_labels or self.num_labels
+
+        return get_model_tokenizer(**kwargs)
diff --git a/ms-swift/swift/llm/argument/base_args/model_args.py b/ms-swift/swift/llm/argument/base_args/model_args.py
new file mode 100644
index 0000000000000000000000000000000000000000..0d69543eff149c846083ba537894f3186060cb25
--- /dev/null
+++ b/ms-swift/swift/llm/argument/base_args/model_args.py
@@ -0,0 +1,178 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import ast
+import math
+import os
+from dataclasses import dataclass, field
+from typing import Any, Dict, Literal, Optional, Union
+
+import json
+import torch
+from transformers.utils import is_torch_mps_available
+
+from swift.llm import MODEL_MAPPING, HfConfigFactory, get_model_info_meta, get_model_name
+from swift.utils import get_dist_setting, get_logger
+
+logger = get_logger()
+
+
+@dataclass
+class ModelArguments:
+    """
+    ModelArguments class is a dataclass that holds various arguments related to model configuration and usage.
+
+    Args:
+        model (Optional[str]): model_id or model_path. Default is None.
+        model_type (Optional[str]): Type of the model group. Default is None.
+        model_revision (Optional[str]): Revision of the model. Default is None.
+        torch_dtype (Literal): Model parameter dtype. Default is None.
+        attn_impl (Literal): Attention implementation to use. Default is None.
+        num_labels (Optional[int]): Number of labels for classification tasks. Default is None.
+        rope_scaling (Literal): Type of rope scaling to use. Default is None.
+        device_map (Optional[str]): Configuration for device mapping. Default is None.
+        local_repo_path (Optional[str]): Path to the local github repository for model. Default is None.
+        init_strategy (Literal): Strategy to initialize all uninitialized parameters. Default is None.
+    """
+    model: Optional[str] = None  # model id or model path
+    model_type: Optional[str] = field(
+        default=None, metadata={'help': f'model_type choices: {list(MODEL_MAPPING.keys())}'})
+    model_revision: Optional[str] = None
+    task_type: Literal['causal_lm', 'seq_cls', 'embedding'] = None
+
+    torch_dtype: Literal['bfloat16', 'float16', 'float32', None] = None
+    # flash_attn: It will automatically convert names based on the model.
+    # None: It will be automatically selected between sdpa and eager.
+    attn_impl: Literal['flash_attn', 'sdpa', 'eager', 'flex_attention', None] = None
+
+    num_labels: Optional[int] = None
+    problem_type: Literal['regression', 'single_label_classification', 'multi_label_classification'] = None
+    rope_scaling: Literal['linear', 'dynamic'] = None
+    device_map: Optional[Union[dict, str]] = None
+    max_memory: Optional[Union[dict, str]] = None
+    # When some model code needs to be downloaded from GitHub,
+    # this parameter specifies the path to the locally downloaded repository.
+    local_repo_path: Optional[str] = None
+    init_strategy: Literal['zero', 'uniform', 'normal', 'xavier_uniform', 'xavier_normal', 'kaiming_uniform',
+                           'kaiming_normal', 'orthogonal'] = None
+
+    @staticmethod
+    def parse_to_dict(value: Union[str, Dict, None], strict: bool = True) -> Union[str, Dict]:
+        """Convert a JSON string or JSON file into a dict"""
+        # If the value could potentially be a string, it is generally advisable to set strict to False.
+        if value is None:
+            value = {}
+        elif isinstance(value, str):
+            if os.path.exists(value):  # local path
+                with open(value, 'r', encoding='utf-8') as f:
+                    value = json.load(f)
+            else:  # json str
+                try:
+                    value = json.loads(value)
+                except json.JSONDecodeError:
+                    if strict:
+                        logger.error(f"Unable to parse string: '{value}'")
+                        raise
+        return value
+
+    def _init_device_map(self):
+        """Prepare device map args"""
+        if self.device_map:
+            self.device_map: Union[str, Dict[str, Any], None] = self.parse_to_dict(self.device_map, strict=False)
+        # compat mp&ddp
+        _, local_rank, _, local_world_size = get_dist_setting()
+        if local_world_size > 1 and isinstance(self.device_map, dict) and local_rank > 0:
+            for k, v in self.device_map.items():
+                if isinstance(v, int):
+                    self.device_map[k] += local_rank
+
+    def _init_max_memory(self):
+        if isinstance(self.max_memory, str):
+            try:
+                self.max_memory = ast.literal_eval(self.max_memory)
+            except Exception:
+                pass
+        self.max_memory = self.parse_to_dict(self.max_memory)
+        # compat mp&ddp
+        _, local_rank, _, local_world_size = get_dist_setting()
+        if local_world_size > 1 and isinstance(self.max_memory, dict) and local_rank > 0:
+            for k in list(self.max_memory.keys()):
+                if isinstance(k, int):
+                    self.max_memory[k + local_rank] = self.max_memory.pop(k)
+
+    def _init_torch_dtype(self) -> None:
+        """"If torch_dtype is None, find a proper dtype by the train_type/GPU"""
+        from swift.llm import TrainArguments
+
+        self.torch_dtype: Optional[torch.dtype] = HfConfigFactory.to_torch_dtype(self.torch_dtype)
+        self.torch_dtype: torch.dtype = self._init_model_info()
+        # Mixed Precision Training
+        if isinstance(self, TrainArguments):
+            self._init_mixed_precision()
+
+    def _init_mixed_precision(self):
+        if is_torch_mps_available():
+            fp16, bf16 = False, False
+        elif self.torch_dtype in {torch.float16, torch.float32}:
+            fp16, bf16 = True, False
+        elif self.torch_dtype == torch.bfloat16:
+            fp16, bf16 = False, True
+        else:
+            raise ValueError(f'args.torch_dtype: {self.torch_dtype}')
+        if self.fp16 is None:
+            self.fp16 = fp16
+        if self.bf16 is None:
+            self.bf16 = bf16
+
+    def _init_rope_scaling(self):
+        assert self.max_length is not None, 'Use max_model_len together with rope_scaling'
+        rope_scaling = self.model_info.rope_scaling or {}
+        max_model_len = self.model_info.max_model_len
+        rope_scaling_factor = 1.0
+        if max_model_len:
+            rope_scaling_factor = max(float(math.ceil(self.max_length / max_model_len)), 1.0)
+        if rope_scaling:
+            rope_scaling_factor = max(rope_scaling.get('factor', -1), rope_scaling_factor)
+            rope_scaling['type'] = self.rope_scaling
+            rope_scaling['factor'] = rope_scaling_factor
+        else:
+            rope_scaling = {'type': self.rope_scaling, 'factor': rope_scaling_factor}
+        self.rope_scaling = rope_scaling
+        logger.info(f'rope_scaling is set to type: {self.rope_scaling}')
+
+    def _init_model_info(self) -> torch.dtype:
+        self.model_info, self.model_meta = get_model_info_meta(**self.get_model_kwargs())
+        self.task_type = self.model_info.task_type
+        self.num_labels = self.model_info.num_labels
+
+        self.model_dir = self.model_info.model_dir
+        self.model_type = self.model_info.model_type
+        if isinstance(self.rope_scaling, str):
+            self._init_rope_scaling()
+        return self.model_info.torch_dtype
+
+    def __post_init__(self):
+        if self.model is None:
+            raise ValueError(f'Please set --model <model_id_or_path>`, model: {self.model}')
+        self.model_suffix = get_model_name(self.model)
+        self._init_device_map()
+        self._init_max_memory()
+        self._init_torch_dtype()
+
+    def get_model_kwargs(self):
+        return {
+            'model_id_or_path': self.model,
+            'torch_dtype': self.torch_dtype,
+            'model_type': self.model_type,
+            'revision': self.model_revision,
+            'use_hf': self.use_hf,
+            'hub_token': self.hub_token,
+            'local_repo_path': self.local_repo_path,
+            'device_map': self.device_map,
+            'max_memory': self.max_memory,
+            'quantization_config': self.get_quantization_config(),
+            'attn_impl': self.attn_impl,
+            'rope_scaling': self.rope_scaling,
+            'task_type': self.task_type,
+            'num_labels': self.num_labels,
+            'problem_type': self.problem_type,
+            'init_strategy': self.init_strategy,
+        }
diff --git a/ms-swift/swift/llm/argument/base_args/quant_args.py b/ms-swift/swift/llm/argument/base_args/quant_args.py
new file mode 100644
index 0000000000000000000000000000000000000000..04ef0f42569550f0cd4960ad0d8bb85c272864ec
--- /dev/null
+++ b/ms-swift/swift/llm/argument/base_args/quant_args.py
@@ -0,0 +1,91 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+
+from dataclasses import dataclass
+from typing import Literal, Optional
+
+import torch
+
+from swift.llm import HfConfigFactory
+
+
+@dataclass
+class QuantizeArguments:
+    """
+    QuantizeArguments is a dataclass that holds the configuration for model quantization.
+
+    Args:
+        quant_method (Literal['bnb', 'hqq', 'eetq']): The quantization method to be used.
+        quant_bits (Literal[1, 2, 3, 4, 8]): The number of bits to use for quantization.
+        hqq_axis (Optional[int]): The axis for hqq quantization.
+        bnb_4bit_compute_dtype (Literal['float16', 'bfloat16', 'float32', None]):
+            The compute dtype for bnb 4-bit quantization.
+        bnb_4bit_quant_type (Literal['fp4', 'nf4']): The quantization type for bnb 4-bit quantization.
+        bnb_4bit_use_double_quant (bool): Whether to use double quantization for bnb 4-bit quantization.
+        bnb_4bit_quant_storage (Optional[str]): This sets the storage type to pack the quantized 4-bit params.
+    """
+    # awq, gptq, and aqlm need to be pre-quantized models.
+    #   It can be detected automatically, without the need to pass in.
+    # while bnb, hqq, and eetq can be quantized during SFT using the original models.
+    quant_method: Literal['bnb', 'hqq', 'eetq', 'quanto'] = None
+    # bnb: 4,8; hqq: 1,2,3,4,8'; eetq: 8
+    # awq: 4; gptq: 2,3,4,8
+    quant_bits: Literal[1, 2, 3, 4, 8, 'float8'] = None
+    # hqq
+    hqq_axis: Optional[int] = None
+    # bnb
+    bnb_4bit_compute_dtype: Literal['float16', 'bfloat16', 'float32', None] = None
+    bnb_4bit_quant_type: Literal['fp4', 'nf4'] = 'nf4'
+    bnb_4bit_use_double_quant: bool = True
+    bnb_4bit_quant_storage: Optional[str] = None
+
+    def get_quantization_config(self):
+        if self.quant_method is None or self.quant_method in {'awq', 'gptq'}:
+            return None
+        assert self.quant_method in {'bnb', 'hqq', 'eetq', 'quanto'}
+        if self.quant_bits is None:
+            raise ValueError(f'Please set the quant_bits. args.quant_bits: {self.quant_bits}')
+        if self.quant_method == 'bnb':
+            if self.quant_bits == 4:
+                load_in_4bit, load_in_8bit = True, False
+            elif self.quant_bits == 8:
+                load_in_4bit, load_in_8bit = False, True
+            else:
+                raise ValueError(f'bnb not support quant_bits: {self.quant_bits}')
+
+            from transformers import BitsAndBytesConfig
+            quantization_config = BitsAndBytesConfig(
+                load_in_4bit=load_in_4bit,
+                load_in_8bit=load_in_8bit,
+                bnb_4bit_compute_dtype=self.bnb_4bit_compute_dtype,
+                bnb_4bit_quant_type=self.bnb_4bit_quant_type,
+                bnb_4bit_use_double_quant=self.bnb_4bit_use_double_quant,
+                bnb_4bit_quant_storage=self.bnb_4bit_quant_storage)
+        elif self.quant_method == 'hqq':
+            from transformers import HqqConfig
+            quantization_config = HqqConfig(nbits=self.quant_bits, axis=self.hqq_axis)
+        elif self.quant_method == 'quanto':
+            from transformers import QuantoConfig
+            if self.quant_bits == 8:
+                weights = 'int8'
+            elif self.quant_bits == 'float8':
+                weights = 'float8'
+            elif self.quant_bits == 4:
+                weights = 'int4'
+            elif self.quant_bits == 2:
+                weights = 'int2'
+            else:
+                raise ValueError('quanto quantization only support quant bits 2/4/8/float8')
+            quantization_config = QuantoConfig(weights=weights)
+        else:  # 'eetq'
+            from transformers import EetqConfig
+            quantization_config = EetqConfig(f'int{self.quant_bits}')
+
+        return quantization_config
+
+    def __post_init__(self):
+        if self.bnb_4bit_compute_dtype is None:
+            if self.torch_dtype in {torch.float16, torch.float32}:
+                self.bnb_4bit_compute_dtype = torch.float32
+            elif self.torch_dtype == torch.bfloat16:
+                self.bnb_4bit_compute_dtype = torch.bfloat16
+        self.bnb_4bit_compute_dtype: torch.dtype = HfConfigFactory.to_torch_dtype(self.bnb_4bit_compute_dtype)
diff --git a/ms-swift/swift/llm/argument/deploy_args.py b/ms-swift/swift/llm/argument/deploy_args.py
new file mode 100644
index 0000000000000000000000000000000000000000..c8f8d41fe7c3853f4bdd90b97bf67619f5be9066
--- /dev/null
+++ b/ms-swift/swift/llm/argument/deploy_args.py
@@ -0,0 +1,76 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from dataclasses import dataclass
+from typing import Optional
+
+from swift.llm import safe_snapshot_download
+from swift.utils import find_free_port, get_logger
+from .infer_args import InferArguments
+
+logger = get_logger()
+
+
+@dataclass
+class DeployArguments(InferArguments):
+    """
+    DeployArguments is a dataclass that extends InferArguments and is used to define
+    the arguments required for deploying a model.
+
+    Args:
+        host (str): The host address to bind the server to. Default is '0.0.0.0'.
+        port (int): The port number to bind the server to. Default is 8000.
+        api_key (Optional[str]): The API key for authentication. Default is None.
+        ssl_keyfile (Optional[str]): The path to the SSL key file. Default is None.
+        ssl_certfile (Optional[str]): The path to the SSL certificate file. Default is None.
+        owned_by (str): The owner of the deployment. Default is 'swift'.
+        served_model_name (Optional[str]): The name of the model being served. Default is None.
+        verbose (bool): Whether to log request information. Default is True.
+        log_interval (int): The interval for printing global statistics. Default is 20.
+        max_logprobs(int): Max number of logprobs to return
+    """
+    host: str = '0.0.0.0'
+    port: int = 8000
+    api_key: Optional[str] = None
+    ssl_keyfile: Optional[str] = None
+    ssl_certfile: Optional[str] = None
+
+    owned_by: str = 'swift'
+    served_model_name: Optional[str] = None
+    verbose: bool = True  # Whether to log request_info
+    log_interval: int = 20  # Interval for printing global statistics
+
+    max_logprobs: int = 20
+
+    def __post_init__(self):
+        super().__post_init__()
+        self.port = find_free_port(self.port)
+
+    def _init_adapters(self):
+        if isinstance(self.adapters, str):
+            self.adapters = [self.adapters]
+        self.adapter_mapping = {}
+        adapters = []
+        for i, adapter in enumerate(self.adapters):
+            adapter_path = adapter.split('=')
+            if len(adapter_path) == 1:
+                adapter_path = (None, adapter_path[0])
+            adapter_name, adapter_path = adapter_path
+            adapter_path = safe_snapshot_download(adapter_path, use_hf=self.use_hf, hub_token=self.hub_token)
+            if adapter_name is None:
+                adapters.append(adapter_path)
+            else:
+                self.adapter_mapping[adapter_name] = adapter_path
+        self.adapters = adapters
+
+    def _init_ckpt_dir(self, adapters=None):
+        return super()._init_ckpt_dir(self.adapters + list(self.adapter_mapping.values()))
+
+    def _init_stream(self):
+        pass
+
+    def _init_eval_human(self):
+        pass
+
+    def _init_result_path(self, folder_name: str) -> None:
+        if folder_name == 'infer_result':
+            folder_name = 'deploy_result'
+        return super()._init_result_path(folder_name)
diff --git a/ms-swift/swift/llm/argument/export_args.py b/ms-swift/swift/llm/argument/export_args.py
new file mode 100644
index 0000000000000000000000000000000000000000..2d4cdf34b83b284bb7c2feb1d9a819d7a621ec5f
--- /dev/null
+++ b/ms-swift/swift/llm/argument/export_args.py
@@ -0,0 +1,107 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import os
+from dataclasses import dataclass
+from typing import Literal, Optional
+
+import torch
+import torch.distributed as dist
+
+from swift.utils import get_logger, init_process_group, set_default_ddp_config
+from .base_args import BaseArguments, to_abspath
+from .merge_args import MergeArguments
+
+logger = get_logger()
+
+
+@dataclass
+class ExportArguments(MergeArguments, BaseArguments):
+    """
+    ExportArguments is a dataclass that inherits from BaseArguments and MergeArguments.
+
+    Args:
+        output_dir (Optional[str]): Directory where the output will be saved.
+        quant_n_samples (int): Number of samples for quantization.
+        max_length (int): Sequence length for quantization.
+        quant_batch_size (int): Batch size for quantization.
+        to_ollama (bool): Flag to indicate export model to ollama format.
+        push_to_hub (bool): Flag to indicate if the output should be pushed to the model hub.
+        hub_model_id (Optional[str]): Model ID for the hub.
+        hub_private_repo (bool): Flag to indicate if the hub repository is private.
+        commit_message (str): Commit message for pushing to the hub.
+        to_peft_format (bool): Flag to indicate if the output should be in PEFT format.
+            This argument is useless for now.
+    """
+    output_dir: Optional[str] = None
+
+    # awq/gptq
+    quant_method: Literal['awq', 'gptq', 'bnb'] = None
+    quant_n_samples: int = 256
+    max_length: int = 2048
+    quant_batch_size: int = 1
+    group_size: int = 128
+
+    # ollama
+    to_ollama: bool = False
+
+    # megatron
+    to_mcore: bool = False
+    to_hf: bool = False
+    mcore_model: Optional[str] = None
+    thread_count: Optional[int] = None
+    test_convert_precision: bool = False
+
+    # push to ms hub
+    push_to_hub: bool = False
+    # 'user_name/repo_name' or 'repo_name'
+    hub_model_id: Optional[str] = None
+    hub_private_repo: bool = False
+    commit_message: str = 'update files'
+    # compat
+    to_peft_format: bool = False
+    exist_ok: bool = False
+
+    def _init_output_dir(self):
+        if self.output_dir is None:
+            ckpt_dir = self.ckpt_dir or f'./{self.model_suffix}'
+            ckpt_dir, ckpt_name = os.path.split(ckpt_dir)
+            if self.to_peft_format:
+                suffix = 'peft'
+            elif self.quant_method:
+                suffix = f'{self.quant_method}-int{self.quant_bits}'
+            elif self.to_ollama:
+                suffix = 'ollama'
+            elif self.merge_lora:
+                suffix = 'merged'
+            elif self.to_mcore:
+                suffix = 'mcore'
+            elif self.to_hf:
+                suffix = 'hf'
+            else:
+                return
+
+            self.output_dir = os.path.join(ckpt_dir, f'{ckpt_name}-{suffix}')
+
+        self.output_dir = to_abspath(self.output_dir)
+        if not self.exist_ok and os.path.exists(self.output_dir):
+            raise FileExistsError(f'args.output_dir: `{self.output_dir}` already exists.')
+        logger.info(f'args.output_dir: `{self.output_dir}`')
+
+    def __post_init__(self):
+        if self.quant_batch_size == -1:
+            self.quant_batch_size = None
+        if self.quant_bits and self.quant_method is None:
+            raise ValueError('Please specify the quantization method using `--quant_method awq/gptq/bnb`.')
+        if self.quant_method and self.quant_bits is None:
+            raise ValueError('Please specify `--quant_bits`.')
+        if self.quant_method in {'gptq', 'awq'} and self.torch_dtype is None:
+            self.torch_dtype = torch.float16
+        if self.to_mcore or self.to_hf:
+            self.mcore_model = to_abspath(self.mcore_model, check_path_exist=True)
+            if not dist.is_initialized():
+                set_default_ddp_config()
+                init_process_group()
+
+        BaseArguments.__post_init__(self)
+        self._init_output_dir()
+        if self.quant_method in {'gptq', 'awq'} and len(self.dataset) == 0:
+            raise ValueError(f'self.dataset: {self.dataset}, Please input the quant dataset.')
diff --git a/ms-swift/swift/llm/argument/infer_args.py b/ms-swift/swift/llm/argument/infer_args.py
new file mode 100644
index 0000000000000000000000000000000000000000..5b17f748006f089044d031c40bd65e50bc1d0745
--- /dev/null
+++ b/ms-swift/swift/llm/argument/infer_args.py
@@ -0,0 +1,179 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import datetime as dt
+import os
+from dataclasses import dataclass
+from typing import Literal, Optional, Union
+
+import torch.distributed as dist
+
+from swift.utils import get_logger, init_process_group, is_dist
+from .base_args import BaseArguments, to_abspath
+from .base_args.model_args import ModelArguments
+from .merge_args import MergeArguments
+
+logger = get_logger()
+
+
+@dataclass
+class LmdeployArguments:
+    """
+    LmdeployArguments is a dataclass that holds the configuration for lmdeploy.
+
+    Args:
+        tp (int): Tensor parallelism size. Default is 1.
+        session_len(Optional[int]): The session length, default None.
+        cache_max_entry_count (float): Maximum entry count for cache. Default is 0.8.
+        quant_policy (int): Quantization policy, e.g., 4, 8. Default is 0.
+        vision_batch_size (int): Maximum batch size in VisionConfig. Default is 1.
+    """
+
+    # lmdeploy
+    tp: int = 1
+    session_len: Optional[int] = None
+    cache_max_entry_count: float = 0.8
+    quant_policy: int = 0  # e.g. 4, 8
+    vision_batch_size: int = 1  # max_batch_size in VisionConfig
+
+    def get_lmdeploy_engine_kwargs(self):
+        kwargs = {
+            'tp': self.tp,
+            'session_len': self.session_len,
+            'cache_max_entry_count': self.cache_max_entry_count,
+            'quant_policy': self.quant_policy,
+            'vision_batch_size': self.vision_batch_size
+        }
+        if dist.is_initialized():
+            kwargs.update({'devices': [dist.get_rank()]})
+        return kwargs
+
+
+@dataclass
+class VllmArguments:
+    """
+    VllmArguments is a dataclass that holds the configuration for vllm.
+
+    Args:
+        gpu_memory_utilization (float): GPU memory utilization. Default is 0.9.
+        tensor_parallel_size (int): Tensor parallelism size. Default is 1.
+        pipeline_parallel_size(int): Pipeline parallelism size. Default is 1.
+        max_num_seqs (int): Maximum number of sequences. Default is 256.
+        max_model_len (Optional[int]): Maximum model length. Default is None.
+        disable_custom_all_reduce (bool): Flag to disable custom all-reduce. Default is False.
+        enforce_eager (bool): Flag to enforce eager execution. Default is False.
+        limit_mm_per_prompt (Optional[str]): Limit multimedia per prompt. Default is None.
+        vllm_max_lora_rank (int): Maximum LoRA rank. Default is 16.
+        enable_prefix_caching (bool): Flag to enable automatic prefix caching. Default is False.
+    """
+    # vllm
+    gpu_memory_utilization: float = 0.9
+    tensor_parallel_size: int = 1
+    pipeline_parallel_size: int = 1
+    max_num_seqs: int = 256
+    max_model_len: Optional[int] = None
+    disable_custom_all_reduce: bool = False
+    enforce_eager: bool = False
+    limit_mm_per_prompt: Optional[Union[dict, str]] = None  # '{"image": 5, "video": 2}'
+    vllm_max_lora_rank: int = 16
+    enable_prefix_caching: bool = False
+    use_async_engine: bool = True
+    data_parallel_size: int = 1
+    log_level: Literal['critical', 'error', 'warning', 'info', 'debug', 'trace'] = 'info'
+    vllm_quantization: Optional[str] = None
+
+    def __post_init__(self):
+        self.limit_mm_per_prompt = ModelArguments.parse_to_dict(self.limit_mm_per_prompt)
+
+    def get_vllm_engine_kwargs(self):
+        adapters = self.adapters
+        if hasattr(self, 'adapter_mapping'):
+            adapters = adapters + list(self.adapter_mapping.values())
+        kwargs = {
+            'gpu_memory_utilization': self.gpu_memory_utilization,
+            'tensor_parallel_size': self.tensor_parallel_size,
+            'pipeline_parallel_size': self.pipeline_parallel_size,
+            'max_num_seqs': self.max_num_seqs,
+            'max_model_len': self.max_model_len,
+            'disable_custom_all_reduce': self.disable_custom_all_reduce,
+            'enforce_eager': self.enforce_eager,
+            'limit_mm_per_prompt': self.limit_mm_per_prompt,
+            'max_lora_rank': self.vllm_max_lora_rank,
+            'enable_lora': len(adapters) > 0,
+            'max_loras': max(len(adapters), 1),
+            'enable_prefix_caching': self.enable_prefix_caching,
+            'quantization': self.vllm_quantization,
+        }
+        if dist.is_initialized():
+            kwargs.update({'device': dist.get_rank()})
+        return kwargs
+
+
+@dataclass
+class InferArguments(MergeArguments, VllmArguments, LmdeployArguments, BaseArguments):
+    """
+    InferArguments is a dataclass that extends BaseArguments, MergeArguments, VllmArguments, and LmdeployArguments.
+    It is used to define the arguments required for model inference.
+
+    Args:
+        ckpt_dir (Optional[str]): Directory to the checkpoint. Default is None.
+        infer_backend (Literal): Backend to use for inference. Default is 'pt'.
+            Allowed values are 'vllm', 'pt', 'lmdeploy'.
+        result_path (Optional[str]): Directory to store inference results. Default is None.
+        max_batch_size (int): Maximum batch size for the pt engine. Default is 1.
+        val_dataset_sample (Optional[int]): Sample size for validation dataset. Default is None.
+    """
+    infer_backend: Literal['vllm', 'pt', 'lmdeploy'] = 'pt'
+
+    result_path: Optional[str] = None
+    metric: Literal['acc', 'rouge'] = None
+    # for pt engine
+    max_batch_size: int = 1
+    ddp_backend: Optional[str] = None
+
+    # only for inference
+    val_dataset_sample: Optional[int] = None
+
+    def _get_result_path(self, folder_name: str) -> str:
+        result_dir = self.ckpt_dir or f'result/{self.model_suffix}'
+        os.makedirs(result_dir, exist_ok=True)
+        result_dir = to_abspath(os.path.join(result_dir, folder_name))
+        os.makedirs(result_dir, exist_ok=True)
+        time = dt.datetime.now().strftime('%Y%m%d-%H%M%S')
+        return os.path.join(result_dir, f'{time}.jsonl')
+
+    def _init_result_path(self, folder_name: str) -> None:
+        if self.result_path is not None:
+            self.result_path = to_abspath(self.result_path)
+            return
+        self.result_path = self._get_result_path(folder_name)
+        logger.info(f'args.result_path: {self.result_path}')
+
+    def _init_stream(self):
+        self.eval_human = not (self.dataset and self.split_dataset_ratio > 0 or self.val_dataset)
+
+        if self.stream and self.num_beams != 1:
+            self.stream = False
+            logger.info('Setting args.stream: False')
+
+    def _init_ddp(self):
+        if not is_dist():
+            return
+        assert not self.eval_human and not self.stream, (
+            f'args.eval_human: {self.eval_human}, args.stream: {self.stream}')
+        self._init_device()
+        init_process_group(self.ddp_backend)
+
+    def __post_init__(self) -> None:
+        BaseArguments.__post_init__(self)
+        VllmArguments.__post_init__(self)
+        self._init_result_path('infer_result')
+        self._init_eval_human()
+        self._init_stream()
+        self._init_ddp()
+
+    def _init_eval_human(self):
+        if len(self.dataset) == 0 and len(self.val_dataset) == 0:
+            eval_human = True
+        else:
+            eval_human = False
+        self.eval_human = eval_human
+        logger.info(f'Setting args.eval_human: {self.eval_human}')
diff --git a/ms-swift/swift/llm/argument/train_args.py b/ms-swift/swift/llm/argument/train_args.py
new file mode 100644
index 0000000000000000000000000000000000000000..dd46c7ceb354e6128668abb9b6c843b5fdbaf8cc
--- /dev/null
+++ b/ms-swift/swift/llm/argument/train_args.py
@@ -0,0 +1,234 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import os
+from dataclasses import dataclass, field
+from typing import Literal, Optional
+
+from transformers import Seq2SeqTrainingArguments
+from transformers.utils.versions import require_version
+
+from swift.plugin import LOSS_MAPPING
+from swift.trainers import TrainerFactory
+from swift.trainers.arguments import TrainArgumentsMixin
+from swift.utils import (add_version_to_work_dir, get_device_count, get_logger, get_pai_tensorboard_dir, is_master,
+                         is_mp, is_pai_training_job, is_swanlab_available)
+from .base_args import BaseArguments, to_abspath
+from .tuner_args import TunerArguments
+
+logger = get_logger()
+
+
+@dataclass
+class Seq2SeqTrainingOverrideArguments(TrainArgumentsMixin, Seq2SeqTrainingArguments):
+    """Override the default value in `Seq2SeqTrainingArguments`"""
+    output_dir: Optional[str] = None
+    learning_rate: Optional[float] = None
+    eval_strategy: Optional[str] = None  # steps, epoch
+    fp16: Optional[bool] = None
+    bf16: Optional[bool] = None
+
+    def _init_output_dir(self):
+        if self.output_dir is None:
+            self.output_dir = f'output/{self.model_suffix}'
+        self.output_dir = to_abspath(self.output_dir)
+
+    def _init_eval_strategy(self):
+        if self.eval_strategy is None:
+            self.eval_strategy = self.save_strategy
+        if self.eval_strategy == 'no':
+            self.eval_steps = None
+            self.split_dataset_ratio = 0.
+            logger.info(f'Setting args.split_dataset_ratio: {self.split_dataset_ratio}')
+        elif self.eval_strategy == 'steps' and self.eval_steps is None:
+            self.eval_steps = self.save_steps
+        self.evaluation_strategy = self.eval_strategy
+
+    def _init_metric_for_best_model(self):
+        if self.metric_for_best_model is None:
+            self.metric_for_best_model = 'rouge-l' if self.predict_with_generate else 'loss'
+
+    def __post_init__(self):
+        self._init_output_dir()
+        self._init_metric_for_best_model()
+        if self.greater_is_better is None and self.metric_for_best_model is not None:
+            self.greater_is_better = 'loss' not in self.metric_for_best_model
+
+        if self.learning_rate is None:
+            if self.train_type == 'full':
+                self.learning_rate = 1e-5
+            else:
+                self.learning_rate = 1e-4
+        self._init_eval_strategy()
+
+
+@dataclass
+class SwanlabArguments:
+
+    swanlab_token: Optional[str] = None
+    swanlab_project: Optional[str] = None
+    swanlab_workspace: Optional[str] = None
+    swanlab_exp_name: Optional[str] = None
+    swanlab_mode: Literal['cloud', 'local'] = 'cloud'
+
+    def _init_swanlab(self):
+        if not is_swanlab_available():
+            raise ValueError('You are using swanlab as `report_to`, please install swanlab by ' '`pip install swanlab`')
+        if not self.swanlab_exp_name:
+            self.swanlab_exp_name = self.output_dir
+        from transformers.integrations import INTEGRATION_TO_CALLBACK
+        import swanlab
+        from swanlab.integration.transformers import SwanLabCallback
+        if self.swanlab_token:
+            swanlab.login(self.swanlab_token)
+        INTEGRATION_TO_CALLBACK['swanlab'] = SwanLabCallback(
+            project=self.swanlab_project,
+            workspace=self.swanlab_workspace,
+            experiment_name=self.swanlab_exp_name,
+            config={'UPPERFRAME': '🐦‍⬛ms-swift'},
+            mode=self.swanlab_mode,
+        )
+
+
+@dataclass
+class TrainArguments(SwanlabArguments, TunerArguments, Seq2SeqTrainingOverrideArguments, BaseArguments):
+    """
+    TrainArguments class is a dataclass that inherits from multiple argument classes:
+    TunerArguments, Seq2SeqTrainingOverrideArguments, and BaseArguments.
+
+    Args:
+        add_version (bool): Flag to add version information to output_dir. Default is True.
+        resume_only_model (bool): Flag to resume training only the model. Default is False.
+        loss_type (Optional[str]): Type of loss function to use. Default is None.
+        packing (bool): Flag to enable packing of datasets. Default is False.
+        lazy_tokenize (Optional[bool]): Flag to enable lazy tokenization. Default is None.
+        max_new_tokens (int): Maximum number of new tokens to generate. Default is 64.
+        temperature (float): Temperature for sampling. Default is 0.
+        optimizer (Optional[str]): Optimizer type to use, define it in the plugin package. Default is None.
+        metric (Optional[str]): Metric to use for evaluation, define it in the plugin package. Default is None.
+    """
+    add_version: bool = True
+    resume_only_model: bool = False
+    create_checkpoint_symlink: bool = False
+
+    # dataset
+    packing: bool = False
+    lazy_tokenize: Optional[bool] = None
+
+    # plugin
+    loss_type: Optional[str] = field(default=None, metadata={'help': f'loss_func choices: {list(LOSS_MAPPING.keys())}'})
+    optimizer: Optional[str] = None
+    metric: Optional[str] = None
+
+    # extra
+    max_new_tokens: int = 64
+    temperature: float = 0.
+    load_args: bool = False
+
+    # zero++
+    zero_hpz_partition_size: Optional[int] = None
+
+    def _init_lazy_tokenize(self):
+        if self.streaming and self.lazy_tokenize:
+            self.lazy_tokenize = False
+            logger.warning('Streaming and lazy_tokenize are incompatible. '
+                           f'Setting args.lazy_tokenize: {self.lazy_tokenize}.')
+        if self.lazy_tokenize is None:
+            self.lazy_tokenize = self.model_meta.is_multimodal and not self.streaming
+            logger.info(f'Setting args.lazy_tokenize: {self.lazy_tokenize}')
+
+    def __post_init__(self) -> None:
+        if self.packing and self.attn_impl != 'flash_attn':
+            raise ValueError('The "packing" feature needs to be used in conjunction with "flash_attn". '
+                             'Please specify `--attn_impl flash_attn`.')
+        if self.resume_from_checkpoint:
+            self.resume_from_checkpoint = to_abspath(self.resume_from_checkpoint, True)
+            if self.resume_only_model:
+                if self.train_type == 'full':
+                    self.model = self.resume_from_checkpoint
+                else:
+                    self.adapters = [self.resume_from_checkpoint]
+        BaseArguments.__post_init__(self)
+        Seq2SeqTrainingOverrideArguments.__post_init__(self)
+        TunerArguments.__post_init__(self)
+
+        if self.optimizer is None:
+            if self.lorap_lr_ratio:
+                self.optimizer = 'lorap'
+            elif self.use_galore:
+                self.optimizer = 'galore'
+
+        if len(self.dataset) == 0:
+            raise ValueError(f'self.dataset: {self.dataset}, Please input the training dataset.')
+
+        self._handle_pai_compat()
+
+        self._init_deepspeed()
+        self._init_device()
+        self._init_lazy_tokenize()
+
+        if getattr(self, 'accelerator_config', None) is None:
+            self.accelerator_config = {'dispatch_batches': False}
+        self.training_args = TrainerFactory.get_training_args(self)
+        self.training_args.remove_unused_columns = False
+
+        self._add_version()
+
+        if 'swanlab' in self.report_to:
+            self._init_swanlab()
+
+    def _init_deepspeed(self):
+        if self.deepspeed:
+            require_version('deepspeed')
+            if is_mp():
+                raise ValueError('DeepSpeed is not compatible with `device_map`. '
+                                 f'n_gpu: {get_device_count()}, '
+                                 f'local_world_size: {self.local_world_size}.')
+
+            ds_config_folder = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'ds_config'))
+            deepspeed_mapping = {
+                name: f'{name}.json'
+                for name in ['zero0', 'zero1', 'zero2', 'zero3', 'zero2_offload', 'zero3_offload']
+            }
+            for ds_name, ds_config in deepspeed_mapping.items():
+                if self.deepspeed == ds_name:
+                    self.deepspeed = os.path.join(ds_config_folder, ds_config)
+                    break
+
+            self.deepspeed = self.parse_to_dict(self.deepspeed)
+            if self.zero_hpz_partition_size is not None:
+                assert 'zero_optimization' in self.deepspeed
+                self.deepspeed['zero_optimization']['zero_hpz_partition_size'] = self.zero_hpz_partition_size
+                logger.warn('If `zero_hpz_partition_size`(ZeRO++) causes grad_norm NaN, please'
+                            ' try `--torch_dtype float16`')
+            logger.info(f'Using deepspeed: {self.deepspeed}')
+
+    def _handle_pai_compat(self) -> None:
+        if not is_pai_training_job():
+            return
+
+        logger.info('Handle pai compat...')
+        pai_tensorboard_dir = get_pai_tensorboard_dir()
+        if self.logging_dir is None and pai_tensorboard_dir is not None:
+            self.logging_dir = pai_tensorboard_dir
+            logger.info(f'Setting args.logging_dir: {self.logging_dir}')
+        self.add_version = False
+        logger.info(f'Setting args.add_version: {self.add_version}')
+
+    def _add_version(self):
+        """Prepare the output_dir"""
+        if self.add_version:
+            self.output_dir = add_version_to_work_dir(self.output_dir)
+            logger.info(f'output_dir: {self.output_dir}')
+
+        if self.logging_dir is None:
+            self.logging_dir = f'{self.output_dir}/runs'
+
+        self.logging_dir = to_abspath(self.logging_dir)
+        if is_master():
+            os.makedirs(self.output_dir, exist_ok=True)
+
+        if self.run_name is None:
+            self.run_name = self.output_dir
+
+        self.training_args.output_dir = self.output_dir
+        self.training_args.run_name = self.run_name
+        self.training_args.logging_dir = self.logging_dir
diff --git a/ms-swift/swift/llm/argument/tuner_args.py b/ms-swift/swift/llm/argument/tuner_args.py
new file mode 100644
index 0000000000000000000000000000000000000000..77895cd3f2ec0f13ac28ee3b282438dba7197649
--- /dev/null
+++ b/ms-swift/swift/llm/argument/tuner_args.py
@@ -0,0 +1,222 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from dataclasses import dataclass, field
+from typing import List, Literal, Optional
+
+from transformers.utils import strtobool
+
+from swift.llm import get_model_arch
+from swift.utils import get_logger
+
+logger = get_logger()
+
+
+@dataclass
+class TunerArguments:
+    """
+    TunerArguments is a dataclass that holds configuration for various tuners.
+
+    Args:
+        target_modules (List[str]): List of target modules for tuning. Default is ['all-linear'].
+        target_regex (Optional[str]): Regular expression to match target modules. Default is None.
+        modules_to_save (List[str]): List of modules to save. Default is an empty list.
+
+        lora_rank (int): Rank for LoRA. Default is 8.
+        lora_alpha (int): Alpha value for LoRA. Default is 32.
+        lora_dropout (float): Dropout rate for LoRA. Default is 0.05.
+            Allowed values are 'none', 'all'.
+        lora_dtype (Literal): Data type for LoRA. Default is 'AUTO'. Allowed values are 'fp16', 'bf16', 'fp32', 'AUTO'.
+        lorap_lr_ratio (float): Learning rate ratio for LoRA. Default is None.
+        use_rslora (bool): Flag to indicate if RSLora is used. Default is False.
+        use_dora (bool): Flag to indicate if Dora is used. Default is False.
+        init_weights (str): Initialization method for weights of supported tuners. Default is 'true'.
+        lora_ga_batch_size (int): Batch size used for estimating gradients during initialization in LoRA-GA.
+                                    Default value is 2.
+        lora_ga_iters (int): Number of iterations for estimating gradients during initialization in LoRA-GA.
+                                Default value is 2.
+        lora_ga_max_length (int): Maximum input length for estimating gradients during initialization in LoRA-GA.
+                                    Default value is 1024.
+        lora_ga_direction (str): Initial direction used for gradient estimation during initialization in LoRA-GA.
+                                    Default value is `ArB2r`. Allowed: `ArBr`, `A2rBr`, `ArB2r`, and `random`.
+        lora_ga_scale (str): The scaling method for initialization in LoRA-GA.
+                                Default value is `stable`. Allowed values are: `gd`, `unit`, `stable`, and `weightS`.
+        lora_ga_stable_gamma (int): The gamma value when choosing `stable` scaling for initialization.
+                                    Default value is 16.
+
+        fourier_n_frequency (int): Number of frequencies for FourierFT. Default is 2000.
+        fourier_scaling (float): Scaling factor for FourierFT. Default is 300.0.
+
+        boft_block_size (int): Block size for BOFT. Default is 4.
+        boft_block_num (int): Number of blocks for BOFT. Default is 0.
+        boft_n_butterfly_factor (int): Butterfly factor for BOFT. Default is 1.
+        boft_dropout (float): Dropout rate for BOFT. Default is 0.0.
+
+        vera_rank (int): Rank for Vera. Default is 256.
+        vera_projection_prng_key (int): PRNG key for Vera projection. Default is 0.
+        vera_dropout (float): Dropout rate for Vera. Default is 0.0.
+        vera_d_initial (float): Initial value for Vera D. Default is 0.1.
+
+        adapter_act (str): Activation function for adapter. Default is 'gelu'.
+        adapter_length (int): Length of the adapter. Default is 128.
+
+        use_galore (bool): Flag to indicate if Galore is used. Default is False.
+        galore_target_modules (Optional[List[str]]): List of target modules for Galore. Default is None.
+        galore_rank (int): Rank for Galore. Default is 128.
+        galore_update_proj_gap (int): Update projection gap for Galore. Default is 50.
+        galore_scale (float): Scaling factor for Galore. Default is 1.0.
+        galore_proj_type (str): Projection type for Galore. Default is 'std'.
+        galore_optim_per_parameter (bool): Flag to indicate if optimization is per parameter for Galore.
+            Default is False.
+        galore_with_embedding (bool): Flag to indicate if embedding is used with Galore. Default is False.
+        galore_quantization (bool): Flag to indicate if use Q-Galore. Default is False.
+        galore_proj_quant (bool): Flag to indicate if projection quantization is used for Galore. Default is False.
+        galore_proj_bits (int): Number of bits for projection quantization. Default is 4.
+        galore_proj_group_size (int): Group size for projection quantization. Default is 256.
+        galore_cos_threshold (float): Cosine threshold for projection quantization. Default is 0.4.
+        galore_gamma_proj (int): Gamma for projection quantization. Default is 2.
+        galore_queue_size (int): Queue size for projection quantization. Default is 5.
+
+        adalora_target_r (int): Target rank for AdaLoRA. Default is 8.
+        adalora_init_r (int): Initial rank for AdaLoRA. Default is 12.
+        adalora_tinit (int): Initial T value for AdaLoRA. Default is 100.
+        adalora_tfinal (int): Final T value for AdaLoRA. Default is 1000.
+        adalora_deltaT (int): Delta T value for AdaLoRA. Default is 10.
+        adalora_beta1 (float): Beta1 value for AdaLoRA. Default is 0.85.
+        adalora_beta2 (float): Beta2 value for AdaLoRA. Default is 0.85.
+        adalora_orth_reg_weight (float): Orthogonal regularization weight for AdaLoRA. Default is 0.5.
+
+        llamapro_num_new_blocks (int): Number of new blocks for LLaMAPro. Default is 4.
+        llamapro_num_groups (Optional[int]): Number of groups for LLaMAPro. Default is None.
+
+        lisa_activated_layers (int): Number of activated layers for LISA. Default is 0.
+        lisa_step_interval (int): Step interval for LISA activation. Default is 20.
+
+        reft_layer_key (Optional[str]): Key identifier for ReFT layer. Default is None.
+        reft_layers (Optional[List[int]]): List of layers involved in ReFT. Default is None.
+        reft_rank (int): Rank parameter for ReFT. Default is 4.
+        reft_intervention_type (Literal): Type of intervention for ReFT. Default is 'LoreftIntervention'.
+        reft_args (Optional[str]): Additional arguments for ReFT. Default is None.
+    """
+    # full
+    freeze_parameters: List[str] = field(default_factory=list)
+    freeze_parameters_regex: Optional[str] = None
+    freeze_parameters_ratio: float = 0.  # 0 ~ 1
+    trainable_parameters: List[str] = field(default_factory=list)
+    trainable_parameters_regex: Optional[str] = None
+    # lora or full
+    freeze_llm: bool = False
+    freeze_vit: bool = True
+    freeze_aligner: bool = True
+    # tuners
+    target_modules: List[str] = field(default_factory=lambda: ['all-linear'])
+    target_regex: Optional[str] = None
+    # e.g. ['wte', 'ln_1', 'ln_2', 'ln_f', 'lm_head']
+    modules_to_save: List[str] = field(default_factory=list)
+
+    # lora
+    lora_rank: int = 8
+    lora_alpha: int = 32
+    lora_dropout: float = 0.05
+    lora_bias: Literal['none', 'all'] = 'none'
+    lora_dtype: Literal['float16', 'bfloat16', 'float32', None] = None
+    lorap_lr_ratio: Optional[float] = None
+    use_rslora: bool = False
+    use_dora: bool = False
+    # Lora: Literal['gaussian', 'pissa', 'pissa_niter_[number of iters]', 'olora', 'loftq', 'true', 'false', 'lora-ga']
+    lora_ga_batch_size: int = 2
+    lora_ga_iters: int = 2
+    lora_ga_max_length: int = 1024
+    lora_ga_direction: str = 'ArB2r'
+    lora_ga_scale: str = 'stable'
+    lora_ga_stable_gamma: int = 16
+
+    # Bone: Literal['bat', 'true', 'false']
+    init_weights: str = 'true'
+
+    # fourierft
+    fourier_n_frequency: int = 2000
+    fourier_scaling: float = 300.0
+
+    # BOFT
+    boft_block_size: int = 4
+    boft_block_num: int = 0
+    boft_n_butterfly_factor: int = 1
+    boft_dropout: float = 0.0
+
+    # Vera
+    vera_rank: int = 256
+    vera_projection_prng_key: int = 0
+    vera_dropout: float = 0.0
+    vera_d_initial: float = 0.1
+
+    # adapter
+    adapter_act: str = 'gelu'
+    adapter_length: int = 128
+
+    # galore
+    use_galore: bool = False
+    galore_target_modules: Optional[List[str]] = None
+    galore_rank: int = 128
+    galore_update_proj_gap: int = 50
+    galore_scale: float = 1.0
+    galore_proj_type: str = 'std'
+    galore_optim_per_parameter: bool = False
+    galore_with_embedding: bool = False
+    galore_quantization: bool = False
+    galore_proj_quant: bool = False
+    galore_proj_bits: int = 4
+    galore_proj_group_size: int = 256
+    galore_cos_threshold: float = 0.4
+    galore_gamma_proj: int = 2
+    galore_queue_size: int = 5
+
+    # adalora
+    adalora_target_r: int = 8
+    adalora_init_r: int = 12
+    adalora_tinit: int = 0
+    adalora_tfinal: int = 0
+    adalora_deltaT: int = 1
+    adalora_beta1: float = 0.85
+    adalora_beta2: float = 0.85
+    adalora_orth_reg_weight: float = 0.5
+
+    # llamapro
+    llamapro_num_new_blocks: int = 4
+    llamapro_num_groups: Optional[int] = None
+
+    # lisa
+    lisa_activated_layers: int = 0
+    lisa_step_interval: int = 20
+
+    # reft
+    reft_layer_key: Optional[str] = None
+    reft_layers: Optional[List[int]] = None
+    reft_rank: int = 4
+    reft_intervention_type: Literal['NoreftIntervention', 'LoreftIntervention', 'ConsreftIntervention',
+                                    'LobireftIntervention', 'DireftIntervention',
+                                    'NodireftIntervention'] = 'LoreftIntervention'
+    reft_args: Optional[str] = None
+
+    def __post_init__(self):
+        if isinstance(self.init_weights, str) and self.init_weights.lower() in {'true', 'false'}:
+            self.init_weights = bool(strtobool(self.init_weights))
+        self._init_multimodal_full()
+        if self.target_regex:
+            self.target_modules = self.target_regex
+
+    def _init_multimodal_full(self):
+        model_arch = get_model_arch(self.model_meta.model_arch)
+        if not self.model_meta.is_multimodal or not model_arch:
+            return
+        if self.freeze_llm:
+            self.freeze_parameters += model_arch.language_model
+        if self.freeze_vit:
+            self.freeze_parameters += model_arch.vision_tower
+        if self.freeze_aligner:
+            self.freeze_parameters += model_arch.aligner
+        else:
+            self.trainable_parameters += model_arch.aligner
+        self.freeze_parameters += model_arch.generator
+        if self.freeze_parameters:
+            logger.info(f'freeze_parameters: {self.freeze_parameters}')
+        if self.trainable_parameters:
+            logger.info(f'additional trainable_parameters: {self.trainable_parameters}')
diff --git a/ms-swift/swift/llm/dataset/__pycache__/__init__.cpython-310.pyc b/ms-swift/swift/llm/dataset/__pycache__/__init__.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..b23281d27fc6aa34c7d2add019acafc8c8d136ec
Binary files /dev/null and b/ms-swift/swift/llm/dataset/__pycache__/__init__.cpython-310.pyc differ
diff --git a/ms-swift/swift/llm/dataset/dataset/mllm.py b/ms-swift/swift/llm/dataset/dataset/mllm.py
new file mode 100644
index 0000000000000000000000000000000000000000..d08494eefff3a81d9c9970479d825b516e751d25
--- /dev/null
+++ b/ms-swift/swift/llm/dataset/dataset/mllm.py
@@ -0,0 +1,1215 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import ast
+import os
+from typing import Any, Dict, Optional
+
+import numpy as np
+from datasets import Dataset as HfDataset
+from datasets import IterableDataset as HfIterableDataset
+from tqdm import tqdm
+
+from ..media import MediaResource
+from ..preprocessor import GroundingMixin, MessagesPreprocessor, ResponsePreprocessor, RowPreprocessor
+from ..register import DatasetMeta, SubsetDataset, register_dataset
+
+
+class ShareGPT4oPreprocessor(MessagesPreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        row = super().preprocess(row)
+        image = row['images']
+        if not image:
+            return
+        image = os.path.join(self.prefix_path, image)
+        if not os.path.exists(image):
+            return
+        row['images'] = [image]
+        return row
+
+    def prepare_dataset(self, dataset):
+        url = ('https://www.modelscope.cn/api/v1/datasets/AI-ModelScope/ShareGPT-4o/repo?'
+               'Revision=master&FilePath=images.zip')
+        local_dir = MediaResource.download(url, 'sharegpt_4o_images')
+        self.prefix_path = os.path.join(local_dir, 'mnt', 'petrelfs', 'wangwenhai', 'workspace_cef', '4o', 'image')
+        return super().prepare_dataset(dataset)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='AI-ModelScope/ShareGPT-4o',
+        hf_dataset_id='OpenGVLab/ShareGPT-4o',
+        preprocess_func=ShareGPT4oPreprocessor(),
+        subsets=['image_caption'],
+        split=['images'],
+        tags=['vqa', 'multi-modal'],
+    ))
+
+
+class GPT4vDataset(ResponsePreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Dict[str, Any]:
+        row['query'] = 'What is the caption of this image?'
+        return super().preprocess(row)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/gpt4v-dataset',
+        hf_dataset_id='laion/gpt4v-dataset',
+        preprocess_func=GPT4vDataset(columns={
+            'link': 'images',
+            'caption': 'response'
+        }),
+        split=['train'],
+        tags=['en', 'caption', 'multi-modal', 'quality'],
+        huge_dataset=True,
+    ))
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/RLAIF-V-Dataset',
+        hf_dataset_id='openbmb/RLAIF-V-Dataset',
+        preprocess_func=ResponsePreprocessor(columns={
+            'question': 'query',
+            'chosen': 'response',
+            'rejected': 'rejected_response'
+        }),
+        tags=['rlhf', 'dpo', 'multi-modal', 'en'],
+    ))
+
+
+class GarbagePreprocessor(ResponsePreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Dict[str, Any]:
+        row['query'] = 'Task: Classify household waste.'
+        return super().preprocess(row)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='tany0699/garbage265',
+        preprocess_func=GarbagePreprocessor(columns={
+            'category': 'label',
+            'image:FILE': 'images'
+        }),
+        tags=['cls', '🔥', 'multi-modal'],
+    ))
+
+
+class SA1BPairedCaptionPreprocessor(RowPreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Dict[str, Any]:
+        prompt = ['图片中展示了什么', '讲述一下图片中内容', '告诉我里面有什么', '图片内容是啥']
+        response = row['global_caption']
+        query = np.random.choice(prompt)
+        return {
+            'messages': [{
+                'role': 'user',
+                'content': query,
+            }, {
+                'role': 'assistant',
+                'content': response,
+            }]
+        }
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='Tongyi-DataEngine/SA1B-Paired-Captions-Images',
+        preprocess_func=SA1BPairedCaptionPreprocessor(columns={
+            'opensource_url': 'images',
+        }),
+        tags=['zh', 'multi-modal', 'vqa'],
+    ))
+
+
+class SA1BDenseCaptionPreprocessor(RowPreprocessor):
+    column_mapping = {
+        'url': 'images',
+    }
+
+    def preprocess(self, row: Dict[str, Any]) -> Dict[str, Any]:
+        prompt = ['图片中展示了什么', '讲述一下图片中内容', '告诉我里面有什么', '图片内容是啥']
+        response = ast.literal_eval(row['cap_seg'])
+        response = response.get('global_caption')
+        query = np.random.choice(prompt)
+        return {
+            'messages': [{
+                'role': 'user',
+                'content': query,
+            }, {
+                'role': 'assistant',
+                'content': response,
+            }]
+        }
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='Tongyi-DataEngine/SA1B-Dense-Caption',
+        preprocess_func=SA1BDenseCaptionPreprocessor(columns={
+            'url': 'images',
+        }),
+        tags=['zh', 'multi-modal', 'vqa'],
+        huge_dataset=True,
+    ))
+
+
+class COCO2014Preprocess(ResponsePreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Dict[str, Any]:
+        caption = row['caption']
+        if '&&' in caption:
+            caption = caption.split('&&')[0]
+        row['query'] = 'please describe the image.'
+        row['response'] = caption
+
+        return super().preprocess(row)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='modelscope/coco_2014_caption',
+        preprocess_func=COCO2014Preprocess(),
+        subsets=[
+            SubsetDataset('train', 'coco_2014_caption', ['train']),
+            SubsetDataset('validation', 'coco_2014_caption', ['validation']),
+        ],
+        tags=['chat', 'multi-modal', 'vision', '🔥'],
+    ))
+
+
+class MantisPreprocessor(MessagesPreprocessor):
+
+    def __init__(self, *, subset: str, columns: Optional[Dict[str, str]] = None) -> None:
+        self.subset = subset
+        super().__init__(columns=columns)
+
+    def prepare_dataset(self, dataset: HfDataset) -> HfDataset:
+        url = (f'https://www.modelscope.cn/api/v1/datasets/swift/Mantis-Instruct/repo?Revision='
+               f'master&FilePath={self.subset}/train_images.zip')  # noqa
+        self.local_dir = MediaResource.download(url, f'mantis_{self.subset}')
+        return super().prepare_dataset(dataset)
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        images = [os.path.join(self.local_dir, p['path']) for p in row['images']]
+        if not all([os.path.exists(d) for d in images]):
+            images = []
+
+        if not images:
+            return
+        row['images'] = images
+        return super().preprocess(row)
+
+
+mantis_subsets_name = [
+    'birds-to-words', 'chartqa', 'coinstruct', 'contrastive_caption', 'docvqa', 'dreamsim', 'dvqa', 'iconqa',
+    'imagecode', 'llava_665k_multi', 'lrv_multi', 'multi_vqa', 'nextqa', 'nlvr2', 'spot-the-diff', 'star',
+    'visual_story_telling'
+]
+
+_mantis_subsets = []
+for subset in mantis_subsets_name:
+    _subset = SubsetDataset(subset=subset, split=['train'], preprocess_func=MantisPreprocessor(subset=subset))
+    _mantis_subsets.append(_subset)
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/Mantis-Instruct',
+        subsets=_mantis_subsets,
+        tags=['chat', 'multi-modal', 'vision'],
+    ))
+
+
+class LLaVADataPreprocessor(MessagesPreprocessor):
+
+    def prepare_dataset(self, dataset):
+        self.all_folders = {}
+        for media_type in ['coco', 'gqa', 'ocr_vqa', 'textvqa', 'VG_100K', 'VG_100K_2']:
+            self.all_folders[media_type] = MediaResource.download(media_type)
+        return super().prepare_dataset(dataset)
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        if not row['images']:
+            return
+        row = super().preprocess(row)
+        images = [p['path'] for p in row['images']]
+        new_images = []
+        for image in images:
+            if 'coco/' in image:
+                image = os.path.join(self.all_folders['coco'], image.replace('coco/', ''))
+            elif 'gqa/' in image:
+                image = os.path.join(self.all_folders['gqa'], image.replace('gqa/', ''))
+            elif 'ocr_vqa/' in image:
+                image = os.path.join(self.all_folders['ocr_vqa'], image)
+            elif 'textvqa/' in image:
+                image = os.path.join(self.all_folders['textvqa'], image.replace('textvqa/', ''))
+            elif 'VG_100K/' in image:
+                image = os.path.join(self.all_folders['VG_100K'], image.replace('vg/', ''))
+            elif 'VG_100K_2/' in image:
+                image = os.path.join(self.all_folders['VG_100K_2'], image.replace('vg/', ''))
+            new_images.append(image)
+        if all(os.path.exists(image) for image in new_images):
+            row['images'] = new_images
+        else:
+            return {'images': None}
+        return row
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/llava-data',
+        hf_dataset_id='TIGER-Lab/llava-data',
+        subsets=['llava_instruct'],
+        preprocess_func=LLaVADataPreprocessor(),
+        tags=['sft', 'multi-modal', 'quality'],
+    ))
+
+
+class PixelProsePreprocessor(RowPreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Dict[str, Any]:
+        caption_prompt = [
+            'Give the description of this image.', 'Describe this picture', 'What is the proper title of this image?'
+        ]
+        vlm_caption = row['vlm_caption']
+        if vlm_caption.startswith('This image displays:'):
+            vlm_caption = vlm_caption[len('This image displays:'):].strip()
+        return {
+            'messages': [{
+                'role': 'user',
+                'content': np.random.choice(caption_prompt)
+            }, {
+                'role': 'assistant',
+                'content': vlm_caption
+            }],
+            'images':
+            row['url']
+        }
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/pixelprose',
+        hf_dataset_id='tomg-group-umd/pixelprose',
+        preprocess_func=PixelProsePreprocessor(),
+        split=['train', 'cc12m', 'commonpool', 'redcaps'],
+        tags=['caption', 'multi-modal', 'vision'],
+        huge_dataset=True,
+    ))
+
+
+class AIShell1Preprocessor(ResponsePreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Dict[str, Any]:
+        row['query'] = '语音转文本'
+        row['response'] = row['Text:LABEL'].replace(' ', '')
+        return super().preprocess(row)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='speech_asr/speech_asr_aishell1_trainsets',
+        subsets=[
+            SubsetDataset('train', split=['train']),
+            SubsetDataset('validation', split=['validation']),
+            SubsetDataset('test', split=['test']),
+        ],
+        preprocess_func=AIShell1Preprocessor(columns={'Audio:FILE': 'audios'}),
+        tags=['chat', 'multi-modal', 'audio'],
+    ))
+
+
+class EmoSchemaPreprocessor(ResponsePreprocessor):
+
+    def prepare_dataset(self, dataset: HfDataset) -> HfDataset:
+        for i in range(1, 6):
+            url = f'https://modelscope.cn/datasets/AI-ModelScope/egoschema/resolve/master/videos_chunked_0{i}.zip'
+            local_dir = MediaResource.download(url, 'egoschema')
+
+        self.local_dir = os.path.join(local_dir, 'videos')
+        self.mp4_set = [file[:-4] for file in os.listdir(self.local_dir) if file.endswith('mp4')]
+        return super().prepare_dataset(dataset)
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        if row['video_idx'] not in self.mp4_set:
+            return None
+        transfer_to_option = {
+            '0': 'A',
+            '1': 'B',
+            '2': 'C',
+            '3': 'D',
+            '4': 'E',
+        }
+        row = {
+            'query': row['query'] + '\n' + '\n'.join(row['option']),
+            'response': transfer_to_option[row['response']],
+            'videos': [os.path.join(self.local_dir, f"{row['video_idx']}.mp4")],
+        }
+        return super().preprocess(row)
+
+
+class EmoSchemaClsPreprocessor(EmoSchemaPreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        if row['video_idx'] not in self.mp4_set:
+            return None
+        row = {
+            'query': row['query'] + '\n' + '\n'.join(row['option']),
+            'label': int(row['response']),
+            'videos': [os.path.join(self.local_dir, f"{row['video_idx']}.mp4")],
+        }
+        return ResponsePreprocessor.preprocess(self, row)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='AI-ModelScope/egoschema',
+        hf_dataset_id='lmms-lab/egoschema',
+        subsets=[
+            SubsetDataset('default', 'Subset', preprocess_func=EmoSchemaPreprocessor()),
+            SubsetDataset('cls', 'Subset', preprocess_func=EmoSchemaClsPreprocessor())
+        ],
+        split=['test'],
+        tags=['chat', 'multi-modal', 'video'],
+    ))
+
+
+def _generate_url_list(_url, _range):
+    lst = []
+    for i in range(1, (_range + 1)):
+        lst.append(_url.replace('{}', str(i)))
+    return lst
+
+
+class LLaVAVideo178KPreprocessor(MessagesPreprocessor):
+
+    def __init__(self, *, subset: str, columns: Optional[Dict[str, str]] = None) -> None:
+        self.subset = subset
+        super().__init__(columns=columns)
+
+    video_resources = {
+        '0_30_s_academic_v0_1':
+        _generate_url_list(
+            'https://www.modelscope.cn/datasets/lmms-lab/LLaVA-Video-178K/resolve/master/'
+            '0_30_s_academic_v0_1/0_30_s_academic_v0_1_videos_{}.tar.gz',
+            8,
+        ),
+        '0_30_s_youtube_v0_1':
+        _generate_url_list(
+            'https://www.modelscope.cn/datasets/lmms-lab/LLaVA-Video-178K/resolve/master/'
+            '0_30_s_youtube_v0_1/0_30_s_youtube_v0_1_videos_{}.tar.gz',
+            19,
+        ),
+        '1_2_m_academic_v0_1':
+        _generate_url_list(
+            'https://www.modelscope.cn/datasets/lmms-lab/LLaVA-Video-178K/resolve/master/'
+            '1_2_m_academic_v0_1/1_2_m_academic_v0_1_videos_{}.tar.gz',
+            14,
+        ),
+        '1_2_m_youtube_v0_1':
+        _generate_url_list(
+            'https://www.modelscope.cn/datasets/lmms-lab/LLaVA-Video-178K/resolve/master/'
+            '1_2_m_youtube_v0_1/1_2_m_youtube_v0_1_videos_{}.tar.gz',
+            50,
+        ),
+        '2_3_m_academic_v0_1':
+        _generate_url_list(
+            'https://www.modelscope.cn/datasets/lmms-lab/LLaVA-Video-178K/resolve/master/'
+            '2_3_m_academic_v0_1/2_3_m_academic_v0_1_videos_{}.tar.gz',
+            18,
+        ),
+        '2_3_m_youtube_v0_1':
+        _generate_url_list(
+            'https://www.modelscope.cn/datasets/lmms-lab/LLaVA-Video-178K/resolve/master/'
+            '2_3_m_youtube_v0_1/2_3_m_youtube_v0_1_videos_{}.tar.gz',
+            98,
+        ),
+        '30_60_s_academic_v0_1':
+        _generate_url_list(
+            'https://www.modelscope.cn/datasets/lmms-lab/LLaVA-Video-178K/resolve/master/'
+            '30_60_s_academic_v0_1/30_60_s_academic_v0_1_videos_{}.tar.gz',
+            10,
+        ),
+        '30_60_s_youtube_v0_1':
+        _generate_url_list(
+            'https://www.modelscope.cn/datasets/lmms-lab/LLaVA-Video-178K/resolve/master/'
+            '30_60_s_youtube_v0_1/30_60_s_youtube_v0_1_videos_{}.tar.gz',
+            13,
+        ),
+    }
+
+    def prepare_dataset(self, dataset: HfDataset) -> HfDataset:
+        urls = self.video_resources[self.subset]
+        self.local_dir = MediaResource.download(urls, f'llava_video_178k_{self.subset}', file_type='sharded')
+        return super().prepare_dataset(dataset)
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        file_path = os.path.join(self.local_dir, f"{row['videos']}")
+        if not os.path.exists(file_path):
+            return None
+        return super().preprocess({'messages': row['messages'], 'videos': file_path})
+
+
+llava_video_subsets = []
+for subset in [
+        '0_30_s_academic_v0_1',
+        '0_30_s_youtube_v0_1',
+        '1_2_m_academic_v0_1',
+        '1_2_m_youtube_v0_1',
+        '2_3_m_academic_v0_1',
+        '2_3_m_youtube_v0_1',
+        '30_60_s_academic_v0_1',
+        '30_60_s_youtube_v0_1',
+]:
+    subset = SubsetDataset(
+        subset=subset,
+        split=['caption', 'open_ended', 'multi_choice'],
+        preprocess_func=LLaVAVideo178KPreprocessor(subset=subset),
+    )
+    llava_video_subsets.append(subset)
+
+register_dataset(
+    DatasetMeta(
+        hf_dataset_id='lmms-lab/LLaVA-Video-178K', subsets=llava_video_subsets, tags=['chat', 'multi-modal', 'video']))
+
+
+class MovieChat1KPreprocessor(ResponsePreprocessor):
+
+    def prepare_dataset(self, dataset: HfDataset) -> HfDataset:
+        mp4_set = [f'{i}.mp4' for i in range(1, 10)] + \
+                  [f'{i}.mp4' for i in range(201, 240)] + \
+                  [f'AWA-{i}.mp4' for i in range(1, 10)] + \
+                  [f'AWB-{i}.mp4' for i in range(1, 16)] + \
+                  [f'AWC-{i}.mp4' for i in range(1, 11)] + \
+                  [f'AWD-{i}.mp4' for i in range(1, 8)] + \
+                  [f'AWE-{i}.mp4' for i in range(1, 7)] + \
+                  [f'AWG-{i}.mp4' for i in range(1, 12)] + \
+                  [f'AWH-{i}.mp4' for i in range(1, 8)] + \
+                  [f'BWA-{i}.mp4' for i in range(1, 7)] + \
+                  [f'BWB-{i}.mp4' for i in range(1, 7)] + \
+                  [f'BWD-{i}.mp4' for i in range(1, 6)] + \
+                  [f'BWE-{i}.mp4' for i in range(1, 6)] + \
+                  [f'BWG-{i}.mp4' for i in range(1, 6)] + \
+                  [f'BWH-{i}.mp4' for i in range(1, 6)] + \
+                  [f'TFS-{i}.mp4' for i in range(1, 13)] + \
+                  [f'UWA-{i}.mp4' for i in range(1, 5)] + ['UWA-6.mp4']
+        for file in mp4_set:
+            url = f'https://modelscope.cn/datasets/AI-ModelScope/MovieChat-1K-test/resolve/master/videos/{file}'
+            self.local_dir = MediaResource.download(url, 'moviechat_1k_test', file_type='file')
+        return super().prepare_dataset(dataset)
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        file_path = os.path.join(self.local_dir, f"{row['info']['video_path']}")
+        if not os.path.exists(file_path):
+            return None
+        return super().preprocess({
+            'query': row['global'][0]['question'],
+            'response': row['global'][0]['answer'],
+            'videos': file_path,
+        })
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='AI-ModelScope/MovieChat-1K-test',
+        hf_dataset_id='Enxin/MovieChat-1K-test',
+        preprocess_func=MovieChat1KPreprocessor(),
+        split=['train'],
+        tags=['chat', 'multi-modal', 'video']))
+
+
+class VideoChatGPTPreprocessor(ResponsePreprocessor):
+
+    def prepare_dataset(self, dataset: HfDataset) -> HfDataset:
+        url = 'https://modelscope.cn/datasets/swift/VideoChatGPT/resolve/master/videos.zip'
+        local_dir = MediaResource.download(url, 'video_chatgpt')
+        self.local_dir = os.path.join(local_dir, 'Test_Videos')
+        return super().prepare_dataset(dataset)
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        # only `.mp4`
+        mp4_set = [file[:-4] for file in os.listdir(self.local_dir) if file.endswith('mp4')]
+        if row['video_name'] not in mp4_set:
+            return
+        row['videos'] = os.path.join(self.local_dir, f"{row['video_name']}.mp4")
+        for key in ['query', 'question_1', 'question_2']:
+            query = row.get(key)
+            if query is None or query == 'None':
+                continue
+            row['query'] = query
+            return super().preprocess(row)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/VideoChatGPT',
+        hf_dataset_id='lmms-lab/VideoChatGPT',
+        subsets=['Generic', 'Temporal', 'Consistency'],
+        preprocess_func=VideoChatGPTPreprocessor(),
+        split=['test'],
+        tags=['chat', 'multi-modal', 'video', '🔥'],
+    ))
+
+
+def preprocess_mind2web(dataset, **kwargs):
+
+    def preprocess_row(row: Dict[str, Any]) -> Dict[str, Any]:
+        raw_html = row['cleaned_html']
+        screenshot = row['screenshot']
+        row['screenshot'] = MediaResource.safe_save(screenshot, row['action_uid'] + '.jpg', 'mind2web')
+        action = row['target_action_reprs']
+        actions = action.split('->')
+        row['query'] = f'The snapshot of screen:<image>\nThe html source code:{raw_html}\n'
+        action = actions[-1]
+        where = actions[0] if len(actions) > 1 else ''
+        what = ''
+        if ':' in action:
+            action, what = action[:action.find(':')], action[action.find(':') + 1:]
+        row['response'] = f'Action: {action.strip()}\nAction Input: {where.strip()}{"," + what.strip()}'
+        return row
+
+    conversations = []
+    tools = [{
+        'function': {
+            'name': 'CLICK',
+            'desc': 'Choose and click an element in the web page',
+            'parameter': [{
+                'element': 'string, the element in the web page to click'
+            }]
+        }
+    }, {
+        'function': {
+            'name':
+            'TYPE',
+            'desc':
+            'Input some text into a web element like <input> or <textbox>',
+            'parameter': [{
+                'element': 'string, the element in the web page to input to',
+                'content': 'string, what content to input into the textbox element'
+            }]
+        }
+    }, {
+        'function': {
+            'name':
+            'SELECT',
+            'desc':
+            'Select an element from a combobox',
+            'parameter': [{
+                'element': 'string, the combobox or dropdown in the web page on which the select happens',
+                'content': 'string, which choices to choose'
+            }]
+        }
+    }]
+
+    def history_to_messages(history):
+        messages = []
+        for h in history:
+            messages.append({'role': 'user', 'content': h[0]})
+            messages.append({'role': 'assistant', 'content': h[1]})
+        return messages
+
+    if isinstance(dataset, HfIterableDataset):
+
+        def generate_example(dataset):
+            history = []
+            images = []
+            for row in dataset:
+                target_action_index = row['target_action_index']
+                row = preprocess_row(row)
+                query = row['query']
+                if target_action_index == '0':
+                    if history:
+                        yield {'messages': history_to_messages(history), 'images': images, 'tools': tools}
+                        images = []
+                        history = []
+                    query = query + '\n' + row['confirmed_task']
+                history.append([query, row['response']])
+                images.append(row['screenshot'])
+
+            if history:
+                yield {'messages': history_to_messages(history), 'images': images, 'tools': tools}
+
+        return HfIterableDataset.from_generator(generate_example, gen_kwargs={'dataset': dataset})
+
+    history = []
+    images = []
+    for row in tqdm(dataset):
+        target_action_index = row['target_action_index']
+        row = preprocess_row(row)
+        query = row['query']
+        if target_action_index == '0':
+            if history:
+                conversations.append({'messages': history_to_messages(history), 'images': images, 'tools': tools})
+                images = []
+                history = []
+            query = query + '\n' + row['confirmed_task']
+        history.append([query, row['response']])
+        images.append(row['screenshot'])
+
+    if history:
+        conversations.append({'messages': history_to_messages(history), 'images': images, 'tools': tools})
+
+    return HfDataset.from_list(conversations)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/Multimodal-Mind2Web',
+        hf_dataset_id='osunlp/Multimodal-Mind2Web',
+        preprocess_func=preprocess_mind2web,
+        tags=['agent', 'multi-modal']))
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='AI-ModelScope/M3IT',
+        subsets=[
+            'coco', 'vqa-v2', 'shapes', 'shapes-rephrased', 'coco-goi-rephrased', 'snli-ve', 'snli-ve-rephrased',
+            'okvqa', 'a-okvqa', 'viquae', 'textcap', 'docvqa', 'science-qa', 'imagenet', 'imagenet-open-ended',
+            'imagenet-rephrased', 'coco-goi', 'clevr', 'clevr-rephrased', 'nlvr', 'coco-itm', 'coco-itm-rephrased',
+            'vsr', 'vsr-rephrased', 'mocheg', 'mocheg-rephrased', 'coco-text', 'fm-iqa', 'activitynet-qa', 'msrvtt',
+            'ss', 'coco-cn', 'refcoco', 'refcoco-rephrased', 'multi30k', 'image-paragraph-captioning', 'visual-dialog',
+            'visual-dialog-rephrased', 'iqa', 'vcr', 'visual-mrc', 'ivqa', 'msrvtt-qa', 'msvd-qa', 'gqa', 'text-vqa',
+            'ocr-vqa', 'st-vqa', 'flickr8k-cn'
+        ],
+        preprocess_func=ResponsePreprocessor(columns={
+            'instruction': 'system',
+            'inputs': 'query',
+            'image_base64_str': 'images',
+            'outputs': 'response'
+        }),
+        split=['train'],
+        huge_dataset=True,
+        tags=['chat', 'multi-modal', 'vision']))
+
+
+class ShareGPT4VPreprocessor(MessagesPreprocessor):
+
+    def prepare_dataset(self, dataset):
+        split = ['ShareGPT4V', 'ShareGPT4V-PT'] if dataset.config_name is None else dataset.config_name
+        IMAGE_DATASET_REQUIREMENTS = {
+            'ShareGPT4V': ['coco', 'sam', 'llava', 'wikiart', 'share_textvqa', 'web-celebrity', 'web-landmark'],
+            'ShareGPT4V-PT': ['coco', 'sam', 'llava']
+        }
+
+        if isinstance(split, str):
+            split = [split]
+        self.all_folders = {}
+        for sp in split:
+            for media_type in IMAGE_DATASET_REQUIREMENTS[sp]:
+                self.all_folders[media_type] = MediaResource.download(media_type)
+        return super().prepare_dataset(dataset)
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        image = row['image']
+        row.update(super().preprocess(row))
+        if 'coco/' in image:
+            image = os.path.join(self.all_folders['coco'], image.replace('coco/', ''))
+        elif 'sam/' in image:
+            image = os.path.join(self.all_folders['sam'], image.replace('sam/images/', ''))
+        elif 'llava/' in image:
+            image = os.path.join(self.all_folders['llava'], image.replace('llava/llava_pretrain/images/', ''))
+        elif 'wikiart/' in image:
+            image = os.path.join(self.all_folders['wikiart'], image.replace('wikiart/images/', 'data/wikiart/images/'))
+        elif 'share_textvqa/' in image:
+            image = os.path.join(self.all_folders['share_textvqa'],
+                                 image.replace('share_textvqa/images/', 'data/share_textvqa/images/'))
+        elif 'web-celebrity/' in image:
+            image = os.path.join(self.all_folders['web-celebrity'],
+                                 image.replace('web-celebrity/images/', 'data/web-celebrity/images/'))
+        elif 'web-landmark/' in image:
+            image = os.path.join(self.all_folders['web-landmark'],
+                                 image.replace('web-landmark/images/', 'data/web-landmark/images/'))
+        if os.path.exists(image):
+            row['images'] = image
+        else:
+            return
+        return row
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='AI-ModelScope/ShareGPT4V',
+        subsets=['ShareGPT4V', 'ShareGPT4V-PT'],
+        preprocess_func=ShareGPT4VPreprocessor(),
+        huge_dataset=True,
+        tags=['chat', 'multi-modal', 'vision']))
+
+
+class TextCapsPreprocessor(ResponsePreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        row['query'] = 'What is the caption of this image?'
+        if not os.path.exists(row['images']['path']):
+            return None
+        return super().preprocess(row)
+
+
+class TextCapsEmbPreprocessor(ResponsePreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        row['query'] = ''
+        if not os.path.exists(row['images']['path']):
+            return None
+        return super().preprocess(row)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/TextCaps',
+        hf_dataset_id='HuggingFaceM4/TextCaps',
+        subsets=[
+            SubsetDataset(
+                name='default',
+                preprocess_func=TextCapsPreprocessor(columns={'reference_strs': 'response'}),
+                split=['train', 'validation'],
+            ),
+            SubsetDataset(
+                name='emb',
+                preprocess_func=TextCapsEmbPreprocessor(columns={'reference_strs': 'response'}),
+                split=['train', 'validation'],
+            ),
+        ],
+        huge_dataset=True,
+        tags=['multi-modal', 'en', 'caption', 'quality']))
+
+
+class RefCOCOPreprocessor(ResponsePreprocessor, GroundingMixin):
+    task_type = 'caption'
+
+    def __init__(self, task_type, **kwargs):
+        self.task_type = task_type
+        super().__init__(**kwargs)
+
+    def prepare_dataset(self, dataset):
+        self.cache_dir = MediaResource.download(
+            'https://www.modelscope.cn/api/v1/datasets/we_dont_produce_water/'
+            'coco_res/repo?Revision=master&FilePath=coco_2014.zip', 'coco2014')
+        return dataset
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        caption = row['captions'][0]
+        bbox = row['bbox']
+        image_path = os.path.join(self.cache_dir, row['image_path'].replace('coco/train2014', 'train2014'))
+        if not os.path.exists(image_path):
+            return
+
+        for i in range(len(bbox)):
+            bbox[i] = round(float(bbox[i]))
+        res = {}
+
+        objects = {
+            'ref': [caption],
+            'bbox': [bbox],
+        }
+        res['query'], res['response'] = self.construct_grounding_prompt()
+        res['images'] = [image_path]
+        res['objects'] = objects
+        return super().preprocess(res)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/refcoco',
+        hf_dataset_id='jxu124/refcoco',
+        subsets=[
+            SubsetDataset(
+                name='caption',
+                preprocess_func=RefCOCOPreprocessor('caption'),
+            ),
+            SubsetDataset(
+                name='grounding',
+                preprocess_func=RefCOCOPreprocessor('grounding'),
+            )
+        ],
+        split=['train', 'validation'],
+        tags=['multi-modal', 'en', 'grounding']))
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/refcocog',
+        hf_dataset_id='jxu124/refcocog',
+        subsets=[
+            SubsetDataset(
+                name='caption',
+                preprocess_func=RefCOCOPreprocessor('caption'),
+            ),
+            SubsetDataset(
+                name='grounding',
+                preprocess_func=RefCOCOPreprocessor('grounding'),
+            )
+        ],
+        split=['train', 'validation'],
+        tags=['multi-modal', 'en', 'grounding']))
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/lnqa',
+        hf_dataset_id='vikhyatk/lnqa',
+        preprocess_func=MessagesPreprocessor(user_role='question', assistant_role='answer'),
+        split=['train', 'validation'],
+        huge_dataset=True,
+        tags=['multi-modal', 'en', 'ocr-vqa', 'quality']))
+
+
+class LLaVAInstructPreprocessor(MessagesPreprocessor):
+
+    def prepare_dataset(self, dataset):
+        self.all_folders = {}
+        for media_type in ['coco', 'gqa', 'ocr_vqa', 'textvqa', 'VG_100K', 'VG_100K_2']:
+            self.all_folders[media_type] = MediaResource.download(media_type)
+        return super().prepare_dataset(dataset)
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        image = row['images']
+        if 'coco/' in image:
+            image = os.path.join(self.all_folders['coco'], image.replace('coco/', ''))
+        elif 'gqa/' in image:
+            image = os.path.join(self.all_folders['gqa'], image.replace('gqa/', ''))
+        elif 'ocr_vqa/' in image:
+            image = os.path.join(self.all_folders['ocr_vqa'], image)
+        elif 'textvqa/' in image:
+            image = os.path.join(self.all_folders['textvqa'], image.replace('textvqa/', ''))
+        elif 'VG_100K/' in image:
+            image = os.path.join(self.all_folders['VG_100K'], image.replace('vg/', ''))
+        elif 'VG_100K_2/' in image:
+            image = os.path.join(self.all_folders['VG_100K_2'], image.replace('vg/', ''))
+        if os.path.exists(image):
+            row['images'] = image
+        else:
+            return
+
+        return super().preprocess(row)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='AI-ModelScope/LLaVA-Instruct-150K',
+        ms_revision='d5db3806e395c60496630a206c336932e85a2d00',
+        preprocess_func=LLaVAInstructPreprocessor(),
+        split=['train'],
+        tags=['chat', 'multi-modal', 'vision']))
+
+
+class LLaVAPretrainPreprocessor(MessagesPreprocessor):
+
+    def prepare_dataset(self, dataset):
+        self.media_dir = MediaResource.download(
+            ('https://www.modelscope.cn/api/v1/datasets/AI-ModelScope/LLaVA-Pretrain/repo?'
+             'Revision=master&FilePath=images.zip'),
+            # noqa
+            'llava_pretrain')
+        return super().prepare_dataset(dataset)
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        row.update(super().preprocess(row))
+        if row['image']:
+            file_path = os.path.join(self.media_dir, row['image'])
+            if os.path.exists(file_path):
+                return {'images': file_path}
+            else:
+                return
+        else:
+            return
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='AI-ModelScope/LLaVA-Pretrain',
+        ms_revision='e3a3f0bfaad05e90e46745152a32bf944e0f4a63',
+        hf_dataset_id='liuhaotian/LLaVA-Pretrain',
+        preprocess_func=LLaVAPretrainPreprocessor(),
+        huge_dataset=True,
+        tags=['chat', 'multi-modal', 'quality']))
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/MideficsDataset',
+        hf_dataset_id='WinterSchool/MideficsDataset',
+        preprocess_func=MessagesPreprocessor(inner_key='data', user_role='question', assistant_role='answer'),
+        tags=['medical', 'en', 'vqa']))
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/OK-VQA_train',
+        hf_dataset_id='Multimodal-Fatima/OK-VQA_train',
+        preprocess_func=ResponsePreprocessor(),
+        tags=['multi-modal', 'en', 'vqa', 'quality']))
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/A-OKVQA',
+        hf_dataset_id='HuggingFaceM4/A-OKVQA',
+        split=['train', 'validation'],
+        preprocess_func=ResponsePreprocessor(columns={'rationales': 'response'}),
+        tags=['multi-modal', 'en', 'vqa', 'quality']))
+
+
+class OcrvqaPreprocessor(RowPreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Dict[str, Any]:
+        idx = np.random.choice(range(len(row['questions'])))
+        query = row['questions'][idx]
+        response = row['answers'][idx]
+        return {
+            'messages': [{
+                'role': 'user',
+                'content': query
+            }, {
+                'role': 'assistant',
+                'content': response
+            }],
+        }
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/OCR-VQA',
+        hf_dataset_id='howard-hou/OCR-VQA',
+        split=['train', 'validation'],
+        preprocess_func=OcrvqaPreprocessor(),
+        tags=['multi-modal', 'en', 'ocr-vqa']))
+
+
+class ScienceQAPreprocessor(RowPreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Dict[str, Any]:
+        query = row['question']
+        response = row['choices'][row['answer']]
+        solution = row['solution']
+        response = f'{solution}\nSo the final answer is: {response}'
+        return {'messages': [{'role': 'user', 'content': query}, {'role': 'assistant', 'content': response}]}
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/ScienceQA',
+        hf_dataset_id='derek-thomas/ScienceQA',
+        split=['train', 'validation'],
+        preprocess_func=ScienceQAPreprocessor(),
+        tags=['multi-modal', 'science', 'vqa', 'quality']))
+
+
+class GritPreprocessor(RowPreprocessor, GroundingMixin):
+
+    def __init__(self, task_type, **kwargs):
+        self.task_type = task_type
+        super().__init__(**kwargs)
+
+    @staticmethod
+    def has_overlap(start_ends):
+        for i in range(1, len(start_ends)):
+            if start_ends[i][0] < start_ends[i - 1][1]:
+                return True
+        return False
+
+    @staticmethod
+    def replace_intervals_with_tags(response, start_ends):
+        result = []
+        last_end = 0
+        for start, end in start_ends:
+            result.append(response[int(last_end):int(start)])
+            result.append('<ref-object><bbox>')
+            last_end = end
+        result.append(response[int(last_end):])
+        return ''.join(result)
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        images = row['images']
+        caption = row['caption']
+        ref_exps = row['ref_exps']
+        objects = {'ref': [], 'bbox': [], 'bbox_type': 'norm1'}
+        start_end_pairs = []
+        for ref_exp in ref_exps:
+            start = ref_exp[0]
+            end = ref_exp[1]
+            # conf = ref_exp[6] TODO filter low confidence rows?
+            start_end_pairs.append(ref_exp[0:2])
+
+            object_part = caption[int(start):int(end)]
+            objects['ref'].append(object_part)
+            objects['bbox'].append(ref_exp[2:6])
+
+        start_end_pairs.sort(key=lambda x: (x[0], x[1]))
+        if self.has_overlap(start_end_pairs) or not ref_exps:
+            return
+
+        if self.task_type in ('grounding', 'caption'):
+            query, response = self.construct_grounding_prompt()
+        else:
+            query = 'what is the proper caption of this image?'
+            response = caption
+        return {
+            'messages': [{
+                'role': 'user',
+                'content': query
+            }, {
+                'role': 'assistant',
+                'content': response
+            }],
+            'images': images,
+            'objects': objects
+        }
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/GRIT',
+        hf_dataset_id='zzliang/GRIT',
+        subsets=[
+            SubsetDataset(
+                name='caption',
+                preprocess_func=GritPreprocessor('caption', columns={'url': 'images'}),
+            ),
+            SubsetDataset(
+                name='grounding',
+                preprocess_func=GritPreprocessor('grounding', columns={'url': 'images'}),
+            ),
+            SubsetDataset(
+                name='vqa',
+                preprocess_func=GritPreprocessor('vqa', columns={'url': 'images'}),
+            )
+        ],
+        huge_dataset=True,
+        tags=['multi-modal', 'en', 'caption-grounding', 'vqa', 'quality']))
+
+
+class GQAPreprocessor(RowPreprocessor):
+
+    def prepare_dataset(self, dataset):
+        self.local_cache = MediaResource.download('gqa')
+        return super().prepare_dataset(dataset)
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        if os.path.join(self.local_cache, 'images', row['imageId'] + '.jpg'):
+            return {
+                'messages': [{
+                    'role': 'user',
+                    'content': row['question']
+                }, {
+                    'role': 'assistant',
+                    'content': row['fullAnswer']
+                }],
+                'images':
+                os.path.join(self.local_cache, 'images', row['imageId'] + '.jpg'),
+            }
+        else:
+            return
+
+
+register_dataset(
+    DatasetMeta(
+        hf_dataset_id='lmms-lab/GQA',
+        split=['train_all_instructions'],
+        preprocess_func=GQAPreprocessor(),
+        huge_dataset=True,
+        tags=['multi-modal', 'en', 'vqa', 'quality']))
+
+
+class CocoPreprocessor(ResponsePreprocessor):
+    category = [
+        'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light',
+        'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow',
+        'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis',
+        'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard',
+        'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich',
+        'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed',
+        'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven',
+        'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'
+    ]
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        row['query'] = 'Task: Object Detection'
+        objects = row['objects']
+        objects['ref'] = [self.category[c] for c in objects['category']]
+        row['response'] = '\n'.join(['<ref-object><bbox>'] * len(objects['ref']))
+        return super().preprocess(row)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='AI-ModelScope/coco',
+        hf_dataset_id='detection-datasets/coco',
+        preprocess_func=CocoPreprocessor(),
+        huge_dataset=True,
+        tags=['multi-modal', 'en', 'vqa', 'quality']))
+
+
+class LLaVAMixSFTPreprocessor(RowPreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Dict[str, Any]:
+        messages = row['messages']
+        rounds = []
+        for msg in messages:
+            role = msg['role']
+            content = msg['content']
+            text = ''
+            for index in content:
+                if index['type'] == 'text':
+                    text += index['text']
+                elif index['type'] == 'image':
+                    text += '<image>'
+
+            rounds.append({'role': role, 'content': text})
+
+        return {'messages': rounds}
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='swift/llava-instruct-mix-vsft',
+        hf_dataset_id='HuggingFaceH4/llava-instruct-mix-vsft',
+        split=['test'],
+        preprocess_func=LLaVAMixSFTPreprocessor(),
+        tags=['multi-modal', 'en', 'vqa', 'quality']))
+
+
+class LatexocrPreprocessor(ResponsePreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Dict[str, Any]:
+        row['query'] = 'Using LaTeX to perform OCR on the image.'
+        return super().preprocess(row)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='AI-ModelScope/LaTeX_OCR',
+        hf_dataset_id='linxy/LaTeX_OCR',
+        subsets=['default', 'human_handwrite', 'human_handwrite_print', 'synthetic_handwrite', 'small'],
+        preprocess_func=LatexocrPreprocessor(),
+        split=['train', 'validation', 'test'],
+        tags=['chat', 'ocr', 'multi-modal', 'vision'],
+    ))
+
+
+class CapchaImagesPreprocessor(ResponsePreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Dict[str, Any]:
+        row['query'] = 'recognize the content.'
+        return super().preprocess(row)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='AI-ModelScope/captcha-images',
+        split=['train', 'validation'],
+        preprocess_func=CapchaImagesPreprocessor(columns={'solution': 'response'}),
+        tags=['chat', 'multi-modal', 'vision']))
+
+
+class ClevrPreprocessor(ResponsePreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Dict[str, Any]:
+        query = row.get('query', '')
+        query = (f'{query} Output the thinking process in <think> </think> and '
+                 'final answer (number) in <answer> </answer> tags.')
+        row.update({'query': query})
+        return super().preprocess(row)
+
+
+register_dataset(
+    DatasetMeta(
+        ms_dataset_id='okwinds/clevr_cogen_a_train',
+        hf_dataset_id='leonardPKU/clevr_cogen_a_train',
+        preprocess_func=ClevrPreprocessor(),
+        tags=['qa', 'math', 'vision', 'grpo']))
diff --git a/ms-swift/swift/llm/dataset/preprocessor/__pycache__/extra.cpython-310.pyc b/ms-swift/swift/llm/dataset/preprocessor/__pycache__/extra.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..7c90a292cc4b1d0f27535fb7481b8c32822f8251
Binary files /dev/null and b/ms-swift/swift/llm/dataset/preprocessor/__pycache__/extra.cpython-310.pyc differ
diff --git a/ms-swift/swift/llm/dataset/preprocessor/core.py b/ms-swift/swift/llm/dataset/preprocessor/core.py
new file mode 100644
index 0000000000000000000000000000000000000000..7c5760d95144249b4cc5bcb9ddf6e4172b7cdea5
--- /dev/null
+++ b/ms-swift/swift/llm/dataset/preprocessor/core.py
@@ -0,0 +1,529 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import ast
+import os
+from collections import Counter
+from contextlib import contextmanager
+from typing import Any, Callable, Dict, List, Optional, Union
+
+import numpy as np
+from datasets import Dataset as HfDataset
+from datasets import Image
+from datasets import IterableDataset as HfIterableDataset
+from datasets import Sequence, Value
+
+from swift.llm import history_to_messages
+from swift.utils import get_logger, is_dist, is_master, safe_ddp_context
+
+DATASET_TYPE = Union[HfDataset, HfIterableDataset]
+
+logger = get_logger()
+
+
+class RowPreprocessor:
+    standard_keys = ['messages', 'rejected_response', 'label', 'images', 'videos', 'audios', 'tools', 'objects']
+
+    def __init__(self,
+                 *,
+                 columns: Optional[Dict[str, str]] = None,
+                 dataset_sample: Optional[int] = None,
+                 random_state: Union[np.random.RandomState, int, None] = 42,
+                 traceback_limit: int = 10) -> None:
+        self.columns = columns or {}
+        self.origin_columns = self.columns.copy()  # Higher priority and raise Error
+        images_keys = ['images', 'image']
+        audios_keys = ['audios', 'audio']
+        videos_keys = ['videos', 'video']
+        for mm_type in ['images', 'audios', 'videos']:
+            keys = locals()[f'{mm_type}_keys']
+            for key in keys:
+                self.columns[key] = mm_type
+
+        self.traceback_limit = traceback_limit
+        self._traceback_counter = 0
+        self.dataset_sample = dataset_sample
+        if not isinstance(random_state, np.random.RandomState):
+            random_state = np.random.RandomState(random_state)
+        self.random_state = random_state
+
+    @staticmethod
+    def _check_messages(row: Dict[str, Any]) -> None:
+        if 'messages' not in row:
+            return
+        messages = row['messages']
+        assert len(messages) > 0, f'messages: {messages}'
+        # fix swift/SlimOrca
+        for message in messages:
+            keys = set(message.keys()) - {'role', 'content'}
+            for key in keys:
+                message.pop(key)
+
+        for message in messages:
+            role, content = message['role'], message['content']
+            # The terms 'tool' and 'tool_response' have the same meaning, ensuring compatibility.
+            assert role in {'system', 'user', 'tool_call', 'tool_response', 'tool', 'assistant'}, f'message: {message}'
+            assert content is not None, f'message: {message}'
+
+    @staticmethod
+    def _cast_images(row: Dict[str, Any]) -> None:
+        images = row.get('images')
+
+        if isinstance(images, str) or isinstance(images, list) and images and isinstance(images[0], str):
+            if isinstance(images, str):
+                images = [images]
+            for i, image in enumerate(images):
+                images[i] = {'bytes': None, 'path': image}
+            row['images'] = images
+        elif isinstance(images, dict):
+            row['images'] = [images]
+
+    @staticmethod
+    def _check_rejected_response(row: Dict[str, Any]) -> None:
+        if 'rejected_messages' in row:
+            chosen_messages = row['messages']
+            rejected_messages = row['rejected_messages']
+            messages = []
+            rejected_response = None
+            for chosen_user, chosen_assistant, rejected_user, rejected_assistant in zip(
+                    chosen_messages[::2], chosen_messages[1::2], rejected_messages[::2], rejected_messages[1::2]):
+                assert chosen_user == rejected_user
+                messages.append(chosen_user)
+                messages.append(chosen_assistant)
+                if chosen_assistant != rejected_assistant:
+                    rejected_response = rejected_assistant['content']
+            row['messages'] = messages
+            row['rejected_response'] = rejected_response
+
+        if 'rejected_response' in row:
+            messages = row['messages']
+            rejected_response = row['rejected_response']
+            if rejected_response is None or rejected_response == messages[-1]['content']:
+                raise ValueError(f'rejected_response: {rejected_response}')
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        raise NotImplementedError
+
+    def prepare_dataset(self, dataset: DATASET_TYPE) -> DATASET_TYPE:
+        return dataset
+
+    @staticmethod
+    def batched_to_rows(batched_row: Dict[str, Any]):
+        keys = list(batched_row.keys())
+        batch_size = len(batched_row[keys[0]])
+        return [{key: batched_row[key][i] for key in keys} for i in range(batch_size)]
+
+    @staticmethod
+    def rows_to_batched(rows: List[Dict[str, Any]]):
+        batched = {}
+        for i, row in enumerate(rows):
+            for k, v in row.items():
+                if k not in batched:
+                    batched[k] = [None] * i
+                batched[k].append(v)
+            # Make all the lengths of v the same.
+            for k in set(batched.keys()) - set(row.keys()):
+                batched[k].append(None)
+        return batched
+
+    @staticmethod
+    def _remove_prefix_keys(row, prefix: str):
+        for k in list(row.keys()):
+            if k.startswith(prefix):
+                new_k = k[len(prefix):]
+                new_v = row.pop(k)
+                if new_k not in row:
+                    row[new_k] = new_v
+
+    @staticmethod
+    def _check_objects(row):
+        objects = row.get('objects')
+        if objects is None:
+            return
+        new_objects = {}
+        # Ensure the order
+        for k in ['ref', 'bbox', 'bbox_type', 'image_id']:
+            if k in objects.keys():
+                new_objects[k] = objects[k]
+        row['objects'] = new_objects
+        bbox = new_objects['bbox']
+
+        # check bbox
+        for box in bbox:
+            assert len(box) in {2, 4}, f'len(box): {len(box)}'
+            if len(box) == 2:
+                continue
+            if box[0] > box[2]:
+                box[0], box[2] = box[2], box[0]
+            if box[1] > box[3]:
+                box[1], box[3] = box[3], box[1]
+
+    def batched_preprocess(self, batched_row: Dict[str, Any], *, strict: bool,
+                           ignore_max_length_error: bool) -> Dict[str, Any]:
+        from ...template import MaxLengthError
+        batched_row = dict(batched_row)
+        assert len(batched_row) > 0
+        self._remove_prefix_keys(batched_row, '__@')  # compat streaming
+        rows = self.batched_to_rows(batched_row)
+
+        new_rows = []
+        for row in rows:
+            try:
+                row = self.preprocess(row)
+                # support [row1, row2, ...]
+                if row is None:
+                    row = []
+                if isinstance(row, dict):
+                    row = [row]
+                for r in row:
+                    self._check_objects(r)
+                    self._check_messages(r)
+                    self._check_rejected_response(r)
+                    self._cast_images(r)
+            except Exception as e:
+                if strict:
+                    logger.warning('To avoid errors, you can pass `strict=False`.')
+                    raise
+                if isinstance(e, MaxLengthError) and ignore_max_length_error:
+                    pass
+                elif self.traceback_limit is not None and self._traceback_counter < self.traceback_limit:
+                    import traceback
+                    logger.info(traceback.format_exc())
+                    logger.warning('👆👆👆There are errors in the dataset, the data will be deleted')
+                    self._traceback_counter += 1
+                row = []
+            new_rows += row
+        res = self.rows_to_batched(new_rows)
+        self._remove_prefix_keys(res, '__#')  # compat GRPO
+        if len(res) == 0:
+            res['messages'] = []
+
+        return res
+
+    @staticmethod
+    def get_features_dataset(dataset: DATASET_TYPE) -> DATASET_TYPE:
+        if dataset.features is None:
+            assert isinstance(dataset, HfIterableDataset)
+            dataset = dataset._resolve_features()
+        return dataset
+
+    @staticmethod
+    def safe_rename_columns(dataset, columns):
+        dataset = RowPreprocessor.get_features_dataset(dataset)
+        columns_keys = {k.lower(): k for k in dataset.features.keys()}  # lower -> lower/upper
+        safe_columns = {columns_keys[k.lower()]: v for k, v in columns.items() if k.lower() in columns_keys}
+
+        counter = Counter(safe_columns.values())
+        for k, new_k in list(safe_columns.items()):
+            if counter[new_k] > 1:
+                # For example, if "response" and "answer" match, then no processing is done.
+                safe_columns.pop(k)
+                continue
+
+        # e.g. Keep {'query': 'query'} to ensure that the query has the highest priority.
+        safe_columns = {k: v for k, v in safe_columns.items() if k != v}
+        if safe_columns:
+            dataset = dataset.rename_columns(safe_columns)
+
+        return dataset
+
+    def _rename_columns(self, dataset: DATASET_TYPE) -> DATASET_TYPE:
+        dataset = self.safe_rename_columns(dataset, self.origin_columns)
+        dataset = self.safe_rename_columns(dataset, self.columns)
+        if isinstance(dataset, HfIterableDataset):
+            # fix: https://github.com/huggingface/datasets/issues/6408
+            columns = {k: f'__@{k}' for k in RowPreprocessor.standard_keys if k in dataset.features}
+            if columns:
+                dataset = dataset.rename_columns(columns)
+        return dataset
+
+    @staticmethod
+    def remove_useless_columns(dataset: DATASET_TYPE) -> DATASET_TYPE:
+        dataset = RowPreprocessor.get_features_dataset(dataset)
+        features = dataset.features
+        k_list = [k for k in RowPreprocessor.standard_keys if k in features]
+        if len(k_list) != len(features):
+            dataset = dataset.select_columns(k_list)
+        return dataset
+
+    @staticmethod
+    @contextmanager
+    def _patch_arrow_writer():
+        # fix AI-ModelScope/ms_agent_for_agentfabric:all
+        from datasets.arrow_writer import ArrowWriter
+
+        def _new_init(self, schema=None, features=None, *args, **kwargs):
+
+            if features is not None:
+                features['messages'] = [{'role': Value(dtype='string'), 'content': Value(dtype='string')}]
+                features['images'] = [{'bytes': Value(dtype='binary'), 'path': Value(dtype='string')}]
+                features['objects'] = {
+                    'ref': Sequence(feature=Value(dtype='string'), length=-1),
+                    'bbox': Sequence(feature=Sequence(feature=Value(dtype='float64'), length=-1), length=-1)
+                }
+            ArrowWriter.__origin_init__(self, schema, features, *args, **kwargs)
+
+        ArrowWriter.__origin_init__ = ArrowWriter.__init__
+        ArrowWriter.__init__ = _new_init
+        try:
+            yield
+        finally:
+            ArrowWriter.__init__ = ArrowWriter.__origin_init__
+            del ArrowWriter.__origin_init__
+
+    def _cast_pil_image(self, dataset):
+        features = dataset.features
+        if 'images' in features and isinstance(features['images'], Image) and features['images'].decode:
+            dataset = dataset.cast_column('images', Image(decode=False))
+        return dataset
+
+    def __call__(
+        self,
+        dataset: DATASET_TYPE,
+        *,
+        num_proc: int = 1,
+        load_from_cache_file: bool = True,
+        strict: bool = False,
+        batch_size: Optional[int] = None,
+    ) -> DATASET_TYPE:
+        from ..utils import sample_dataset
+        if batch_size is None:
+            batch_size = 1000 if isinstance(dataset, HfDataset) else 16
+        if self.dataset_sample is not None:
+            dataset = sample_dataset(dataset, self.dataset_sample, True, self.random_state)
+
+        map_kwargs = {'batched': True, 'batch_size': batch_size}
+        if isinstance(dataset, HfDataset):
+            if not load_from_cache_file and is_dist() and not is_master():
+                load_from_cache_file = True
+            map_kwargs.update({
+                'num_proc': num_proc,
+                'load_from_cache_file': load_from_cache_file,
+            })
+        # compat GRPO: The solution field will be retained.
+        dataset = RowPreprocessor.get_features_dataset(dataset)
+        if 'solution' in dataset.features:
+            with safe_ddp_context(None, True):
+                dataset = dataset.map(lambda x: {'__#solution': x['solution']}, **map_kwargs)
+        dataset = self._rename_columns(dataset)
+        dataset = self.prepare_dataset(dataset)
+        dataset = self._cast_pil_image(dataset)
+
+        ignore_max_length_error = True if isinstance(dataset, HfDataset) and num_proc > 1 else False
+        with self._patch_arrow_writer(), safe_ddp_context(None, True):
+            try:
+                dataset_mapped = dataset.map(
+                    self.batched_preprocess,
+                    fn_kwargs={
+                        'strict': strict,
+                        'ignore_max_length_error': ignore_max_length_error
+                    },
+                    remove_columns=list(dataset.features.keys()),
+                    **map_kwargs)
+            except NotImplementedError:
+                pass
+        if isinstance(dataset_mapped, HfDataset) and len(dataset) != len(dataset_mapped):
+            logger.info(
+                f'Dataset filtered, origin length: {len(dataset)}, filtered dataset length: {len(dataset_mapped)}')
+
+        return dataset_mapped
+
+
+class ResponsePreprocessor(RowPreprocessor):
+    """Dataset compatible with older versions of ms-swift"""
+
+    def __init__(self, *, columns: Optional[Dict[str, str]] = None, **kwargs) -> None:
+        super().__init__(columns=columns, **kwargs)
+        system_keys = ['system', 'system_prompt']
+        query_keys = ['query', 'prompt', 'input', 'instruction', 'question', 'problem']
+        response_keys = ['response', 'answer', 'output', 'targets', 'target', 'answer_key', 'answers', 'solution'
+                         ] + ['text', 'completion', 'content']
+        for key in system_keys:
+            self.columns[key] = 'system'
+        for key in query_keys:
+            self.columns[key] = 'query'
+        for key in response_keys:
+            self.columns[key] = 'response'
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        response = row.pop('response', None)
+        if response is not None:
+            if isinstance(response, (list, tuple)):
+                from transformers.utils import strtobool
+                # sometimes response is a list, pick one randomly
+                if strtobool(os.environ.get('RANDOM_DATASET_RESPONSE', 'True')):
+                    response = self.random_state.choice(response)
+                else:
+                    response = response[0]
+        history = row.pop('history', None) or []
+        query = row.pop('query', None)
+        system = row.pop('system', None)
+        if isinstance(history, str):  # e.g. "[['query1', 'response1']]"
+            history = ast.literal_eval(history)
+        history.append([query, response])
+
+        row.update({'messages': history_to_messages(history, system)})
+        return row
+
+
+class AlpacaPreprocessor(ResponsePreprocessor):
+
+    @classmethod
+    def concat_inst_input(cls, instruction, input_):
+        if instruction and input_:
+            query = f'{instruction}\n{input_}'
+        else:
+            query = instruction or input_
+        assert isinstance(query, str), f'query: {query}'
+        return query
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        instruction = row.pop('instruction', None)
+        input_ = row.pop('input', None)
+        output = row.pop('output', None)
+        if output is not None:
+            row['response'] = output
+        row['query'] = self.concat_inst_input(instruction, input_)
+        return super().preprocess(row)
+
+
+def default_repair_messages(s: Union[str, Any]) -> Any:
+    if isinstance(s, str):
+        return ast.literal_eval(s)
+    return s
+
+
+class MessagesPreprocessor(RowPreprocessor):
+
+    def __init__(
+            self,
+            *,
+            # If set to None, automatic matching will be performed.
+            role_key: Optional[str] = None,  # 'role', 'from'
+            content_key: Optional[str] = None,  # 'content', 'value'
+            user_role: Optional[str] = None,  # 'user', 'human'
+            assistant_role: Optional[str] = None,  # 'assistant', 'gpt', 'bot'
+            system_role: str = 'system',
+            # 'conversation', 'conversations' -> 'messages'
+            columns: Optional[Dict[str, str]] = None,
+            repair_messages: Callable[[Union[str, List[Dict[str, str]]]],
+                                      Optional[List[Dict[str, str]]]] = default_repair_messages,
+            inner_key: Optional[str] = None,
+            **kwargs):
+        super().__init__(columns=columns, **kwargs)
+        self.role_keys = ['role', 'from'] if role_key is None else [role_key]
+        self.content_keys = ['content', 'value'] if content_key is None else [content_key]
+        self.user_roles = ['user', 'human'] if user_role is None else [user_role]
+        self.assistant_roles = ['assistant', 'gpt', 'bot'] if assistant_role is None else [assistant_role]
+        self.tool_call_roles = ['function_call']
+        self.tool_response_roles = ['function_response', 'observation', 'observations']
+
+        self.system_role = system_role
+        self.repair_messages = repair_messages
+        self.inner_key = inner_key
+
+        message_keys = ['messages', 'conversation', 'conversations']
+        for key in message_keys:
+            self.columns[key] = 'messages'
+        # sharegptq
+        system_keys = ['system', 'system_prompt']
+        if system_role not in system_keys:
+            system_keys.append(system_role)
+        for key in system_keys:
+            self.columns[key] = 'system'
+
+    @staticmethod
+    def _is_sharegpt_format(message: Dict[str, str]) -> bool:
+        if 'role' in message or 'content' in message:
+            return False
+        return True
+
+    def sharegpt_to_messages(self, messages: List[Dict[str, str]], system: Optional[str]) -> List[Dict[str, str]]:
+        self._to_std_key(messages, 'user', self.user_roles)
+        self._to_std_key(messages, 'assistant', self.assistant_roles)
+        new_messages = []
+        if system is not None:
+            new_messages.append({'role': 'system', 'content': system})
+        for message in messages:
+            user_message = {'role': 'user', 'content': message['user']}
+            assistant_message = {'role': 'assistant', 'content': message['assistant']}
+            new_messages.append(user_message)
+            new_messages.append(assistant_message)
+        return new_messages
+
+    def to_std_messages(self, messages: List[Dict[str, str]], system: Optional[str]) -> None:
+        if messages[0]['role'] == self.system_role:
+            messages[0]['role'] = 'system'
+        elif system is not None:
+            messages.insert(0, {'role': 'system', 'content': system})
+        for message in messages:
+            role = message['role']
+            if role in self.user_roles:
+                message['role'] = 'user'
+            elif role in self.assistant_roles:
+                message['role'] = 'assistant'
+            elif role.replace('-', '_') in self.tool_call_roles:
+                message['role'] = 'tool_call'
+            elif role.replace('-', '_') in self.tool_response_roles:
+                message['role'] = 'tool_response'
+
+    @staticmethod
+    def _to_std_key(messages: List[Dict[str, str]], std_key: str, optional_keys: List[str]) -> None:
+        for message in messages:
+            for key in optional_keys:
+                if key in message:
+                    message[std_key] = message.pop(key)
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        if 'rejected_messages' in row:
+            row['rejected_messages'] = MessagesPreprocessor.preprocess(
+                self, {'messages': row['rejected_messages']})['messages']
+        messages = row['messages']
+        if self.inner_key is not None:
+            messages = messages[self.inner_key]
+        messages: Optional[List[Dict[str, str]]] = self.repair_messages(messages)
+        if not messages or isinstance(messages, str):
+            return
+        self._to_std_key(messages, 'role', self.role_keys)
+        self._to_std_key(messages, 'content', self.content_keys)
+        system = row.pop('system', None)
+        if self._is_sharegpt_format(messages[0]):
+            messages = self.sharegpt_to_messages(messages, system)
+        else:
+            self.to_std_messages(messages, system)  # inplace
+        row['messages'] = messages
+        return row
+
+
+class ClsPreprocessor(ResponsePreprocessor):
+
+    def preprocess(self, row: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        res = super().preprocess(row)
+        res['label'] = int(res['label'])
+        return res
+
+
+class AutoPreprocessor:
+
+    def __init__(self, *, columns: Optional[Dict[str, str]] = None, **kwargs) -> None:
+        self.columns = columns or {}
+        self.kwargs = kwargs
+
+    def _get_preprocessor(self, dataset: DATASET_TYPE) -> RowPreprocessor:
+        features = dataset.features
+        for key in ['conversation', 'conversations', 'messages']:
+            if key in features:
+                return MessagesPreprocessor(**self.kwargs)
+        if 'instruction' in features and 'input' in features:
+            return AlpacaPreprocessor(**self.kwargs)
+        return ResponsePreprocessor(**self.kwargs)
+
+    def __call__(
+        self,
+        dataset: DATASET_TYPE,
+        *,
+        num_proc: int = 1,
+        load_from_cache_file: bool = True,
+        strict: bool = False,
+    ) -> DATASET_TYPE:
+        dataset = RowPreprocessor.safe_rename_columns(dataset, self.columns)
+        preprocessor = self._get_preprocessor(dataset)
+        return preprocessor(dataset, num_proc=num_proc, load_from_cache_file=load_from_cache_file, strict=strict)
diff --git a/ms-swift/swift/llm/ds_config/zero2_offload.json b/ms-swift/swift/llm/ds_config/zero2_offload.json
new file mode 100644
index 0000000000000000000000000000000000000000..349088ec88da8df69a1a18532164b9596d6a3ce1
--- /dev/null
+++ b/ms-swift/swift/llm/ds_config/zero2_offload.json
@@ -0,0 +1,35 @@
+{
+    "fp16": {
+        "enabled": "auto",
+        "loss_scale": 0,
+        "loss_scale_window": 1000,
+        "initial_scale_power": 16,
+        "hysteresis": 2,
+        "min_loss_scale": 1
+    },
+
+    "bf16": {
+        "enabled": "auto"
+    },
+
+    "zero_optimization": {
+        "stage": 2,
+        "offload_optimizer": {
+            "device": "cpu",
+            "pin_memory": true
+        },
+        "allgather_partitions": true,
+        "allgather_bucket_size": 2e8,
+        "overlap_comm": false,
+        "reduce_scatter": true,
+        "reduce_bucket_size": 2e8,
+        "contiguous_gradients": true
+    },
+
+    "gradient_accumulation_steps": "auto",
+    "gradient_clipping": "auto",
+    "steps_per_print": 2000,
+    "train_batch_size": "auto",
+    "train_micro_batch_size_per_gpu": "auto",
+    "wall_clock_breakdown": false
+}
diff --git a/ms-swift/swift/llm/export/merge_lora.py b/ms-swift/swift/llm/export/merge_lora.py
new file mode 100644
index 0000000000000000000000000000000000000000..80ae5f56573d5a96fae661cb6543167623deb060
--- /dev/null
+++ b/ms-swift/swift/llm/export/merge_lora.py
@@ -0,0 +1,44 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import os
+
+from swift.llm import ExportArguments, prepare_model_template, save_checkpoint
+from swift.tuners import Swift
+from swift.utils import get_logger
+
+logger = get_logger()
+
+
+def merge_lora(args: ExportArguments, device_map=None, replace_if_exists=False) -> None:
+    if replace_if_exists:
+        logger.info(f'replace_if_exists: {replace_if_exists}')
+    output_dir = getattr(args, 'output_dir', None) or f'{args.adapters[0]}-merged'
+    if os.path.exists(output_dir) and not replace_if_exists:
+        logger.info(f'The weight directory for the merged LoRA already exists in {output_dir}, '
+                    'skipping the saving process.')
+    else:
+        origin_device_map = args.device_map
+        args.device_map = device_map or args.device_map
+        logger.info(f'merge_device_map: {device_map}')
+        model, template = prepare_model_template(args)
+        quant_method = model.model_info.quant_method
+        assert quant_method is None, (f'quant_method: {quant_method}, '
+                                      'quantized model and does not support merge-lora.')
+        logger.info('Merge LoRA...')
+        Swift.merge_and_unload(model)
+        model = model.model
+        logger.info('Saving merged weights...')
+
+        save_checkpoint(
+            model,
+            template.processor,
+            output_dir,
+            safe_serialization=args.safe_serialization,
+            model_dirs=args.adapters,
+            max_shard_size=args.max_shard_size,
+            additional_saved_files=model.model_meta.additional_saved_files)
+        logger.info(f'Successfully merged LoRA and saved in {output_dir}.')
+        args.device_map = origin_device_map
+
+    args.model = output_dir
+    args.model_dir = output_dir
+    args.adapters = []
diff --git a/ms-swift/swift/llm/export/quant.py b/ms-swift/swift/llm/export/quant.py
new file mode 100644
index 0000000000000000000000000000000000000000..d1684f5bced80f35012a5ce80fb8de80d5f5f21d
--- /dev/null
+++ b/ms-swift/swift/llm/export/quant.py
@@ -0,0 +1,266 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from collections import defaultdict
+from contextlib import contextmanager
+from typing import Dict, List, Optional
+
+import torch
+import torch.nn as nn
+from tqdm import tqdm
+
+from swift.llm import (ExportArguments, HfConfigFactory, MaxLengthError, ProcessorMixin, deep_getattr, get_model_arch,
+                       is_moe_model, load_dataset, prepare_model_template, save_checkpoint, to_device)
+from swift.utils import find_layers, get_logger, get_model_parameter_info
+
+logger = get_logger()
+
+
+class QuantEngine(ProcessorMixin):
+
+    def __init__(self, args: ExportArguments):
+        self.args = args
+        kwargs = {}
+        if args.quant_method == 'awq':
+            from awq import AutoAWQForCausalLM
+            kwargs['automodel_class'] = AutoAWQForCausalLM
+        self.model, self.template = prepare_model_template(args, **kwargs)
+        self.template.set_mode('train')
+        self.model.config.use_cache = False
+        HfConfigFactory.set_model_config_attr(self.model, 'use_cache', False)
+        self.processor = self.template.processor
+        args.save_args()
+
+    def quantize(self):
+        args = self.args
+        if args.quant_bits is None:
+            raise ValueError(f'Please set the quant_bits. args.quant_bits: {args.quant_bits}')
+        if args.quant_method == 'awq':
+            self.template.model = self.model.model
+            self.awq_model_quantize()
+            self.model.save_quantized(
+                args.output_dir, safetensors=args.safe_serialization, shard_size=args.max_shard_size)
+        elif args.quant_method == 'gptq':
+            self.template.model = self.model
+            gptq_quantizer = self.gptq_model_quantize()
+            gptq_quantizer.save(
+                self.model,
+                args.output_dir,
+                safe_serialization=args.safe_serialization,
+                max_shard_size=args.max_shard_size)
+        elif args.quant_method == 'bnb':
+            self.model.save_pretrained(
+                args.output_dir, safe_serialization=args.safe_serialization, max_shard_size=args.max_shard_size)
+        else:
+            raise ValueError(f'args.quant_method: {args.quant_method}')
+
+        logger.info(f'model: {self.model}')
+        logger.info(f'model_parameter_info: {get_model_parameter_info(self.model)}')
+        save_checkpoint(
+            None,
+            self.processor,
+            args.output_dir,
+            model_dirs=[args.model_dir],
+            additional_saved_files=self.model.model_meta.additional_saved_files)
+        logger.info(f'Successfully quantized the model and saved in {args.output_dir}.')
+
+    @torch.inference_mode()
+    def _prepare_gptq_dataset(self, examples: List[Dict[str, torch.LongTensor]], batch_size: int = 1, *args, **kwargs):
+        res = []
+        for start in tqdm(range(0, len(examples), batch_size)):
+            batched_inputs = examples[start:start + batch_size]
+            inputs = to_device(self.template.data_collator(batched_inputs), self.model.device)
+            if self.model.model_meta.is_multimodal:
+                _, inputs = self.template.pre_forward_hook(self.model, None, inputs)
+            res.append(to_device(inputs, 'cpu'))
+        return res
+
+    @torch.inference_mode()
+    def _get_quant_dataset(self, *args, **kwargs):
+        args = self.args
+        assert args.quant_method in {'awq', 'gptq'}
+        template = self.template
+        n_samples = args.quant_n_samples
+        block_size = args.max_length
+
+        # only use train_dataset
+        dataset = load_dataset(
+            args.dataset, split_dataset_ratio=0, shuffle=args.dataset_shuffle, **args.get_dataset_kwargs())[0]
+        logger.info(f'quant_dataset: {dataset}')
+        dataset = dataset.shuffle()
+
+        samples = []
+        i = 0
+        prog_bar = tqdm(total=n_samples, dynamic_ncols=True)
+        is_multimodal = self.model.model_meta.is_multimodal
+        for data in dataset:
+            try:
+                inputs = template.encode(data)
+            except MaxLengthError:
+                continue
+            if is_multimodal and args.quant_method == 'gptq':
+                inputs.pop('labels', None)
+                samples.append(inputs)
+            else:
+                input_ids = inputs['input_ids']
+                samples += input_ids
+            i += 1
+            prog_bar.update()
+            if i == n_samples:
+                break
+        if is_multimodal and args.quant_method == 'gptq':
+            return samples
+        # now concatenate all samples and split according to block size
+        n_split = len(samples) // block_size
+        logger.info(f'Split into {n_split} blocks')
+        res = []
+        for i in range(n_split):
+            input_ids = samples[i * block_size:(i + 1) * block_size]
+            if args.quant_method == 'gptq':
+                res.append({'input_ids': input_ids})
+            else:
+                res.append(torch.tensor(input_ids)[None])
+        return res
+
+    @staticmethod
+    @contextmanager
+    def _patch_awq_move_embed(awq_model):
+        _origin_move_embed = awq_model.move_embed
+
+        def _move_embed(model, device: str):
+            if hasattr(model, '_hf_hook') and device != 'cpu':
+                return
+            _origin_move_embed(model, device)
+
+        awq_model.move_embed = _move_embed
+        try:
+            yield
+        finally:
+            awq_model.move_embed = _origin_move_embed
+
+    def get_awq_modules_to_not_convert(self):
+        block_name = self.get_block_name_to_quantize(self.model)
+        block = deep_getattr(self.model, block_name)[-1]
+        prefix, experts = self._get_experts(block)
+        num_experts = len(experts)
+
+        def cond(name, module):
+            if isinstance(module, nn.Linear) and module.out_features == num_experts:
+                return True
+            return False
+
+        return find_layers(self.model, cond, min_name_len=2)  # min_name_len: fix Qwen3-MoE
+
+    def awq_model_quantize(self) -> None:
+        from awq.quantize import quantizer
+        from transformers import AwqConfig
+
+        args = self.args
+        logger.info(f'Quantization dataset: {args.dataset}')
+        _origin_get_calib_dataset = quantizer.get_calib_dataset
+        quantizer.get_calib_dataset = self._get_quant_dataset
+        quant_config = {
+            'zero_point': True,
+            'q_group_size': args.group_size,
+            'w_bit': args.quant_bits,
+            'version': 'GEMM'
+        }
+        if is_moe_model(self.model):
+            quant_config['modules_to_not_convert'] = self.get_awq_modules_to_not_convert()
+        logger.info(f'quant_config: {quant_config}')
+        logger.info('Start quantizing the model...')
+        with self._patch_awq_move_embed(self.model):
+            self.model.quantize(
+                self.tokenizer, quant_config=quant_config, n_parallel_calib_samples=args.quant_batch_size)
+        quantizer.get_calib_dataset = _origin_get_calib_dataset  # recover
+        if self.model.quant_config.modules_to_not_convert:
+            model_arch = get_model_arch(args.model_meta.model_arch)
+            lm_head_key = model_arch.lm_head or 'lm_head'
+            self.model.quant_config.modules_to_not_convert.append(lm_head_key)
+
+    @contextmanager
+    def _patch_gptq(self):
+        from optimum.gptq import quantizer
+        _get_dataset_origin = quantizer.get_dataset
+        _prepare_dataset_origin = quantizer.prepare_dataset
+        quantizer.get_dataset = self._get_quant_dataset
+        quantizer.prepare_dataset = self._prepare_gptq_dataset
+        try:
+            yield
+        finally:
+            quantizer.get_dataset = _get_dataset_origin
+            quantizer.prepare_dataset = _prepare_dataset_origin
+
+    @staticmethod
+    def get_block_name_to_quantize(model: nn.Module) -> Optional[str]:
+        model_arch = get_model_arch(model.model_meta.model_arch)
+        prefix = ''
+        if hasattr(model_arch, 'language_model'):
+            assert len(model_arch.language_model) == 1, f'mllm_arch.language_model: {model_arch.language_model}'
+            prefix = model_arch.language_model[0]
+            model = deep_getattr(model, prefix)
+
+        module_lists = []
+        for n, m in model.named_modules():
+            if (isinstance(m, (nn.ModuleList, nn.Sequential)) and len(m) >= 10
+                    and 'mlp' not in m[0].__class__.__name__.lower()):  # fix moe
+                module_lists.append((n, m))
+        if module_lists:
+            module_list = max(module_lists, key=lambda x: len(x[1]))
+            return f'{prefix}.{module_list[0]}'.strip('.')
+
+    @staticmethod
+    def _get_experts(block):
+        for n, m in block.named_modules():
+            if isinstance(m, (nn.ModuleList, nn.Sequential)):
+                return n, m
+
+    @staticmethod
+    def get_modules_in_block_to_quantize(model, block_name: str):
+        if not is_moe_model(model):
+            return
+        from optimum.gptq.utils import get_layers
+        # Do not quantize the gate part.
+        block = deep_getattr(model, block_name)[-1]
+        prefix, experts = QuantEngine._get_experts(block)
+        num_experts = len(experts)
+
+        layers = get_layers(block)
+        res = []
+        experts = defaultdict(list)
+        experts_idx = None
+        for name, layer in layers.items():
+            if name.startswith(prefix):
+                suffix = name.rsplit('.', 1)[-1]
+                experts[suffix].append(name)
+                experts_idx = len(res)
+            elif layer.out_features not in {1, num_experts}:
+                res.append([name])
+        res[experts_idx:experts_idx] = experts.values()
+        return res
+
+    def gptq_model_quantize(self):
+        from optimum.gptq import GPTQQuantizer
+        args = self.args
+        logger.info(f'Quantization dataset: {args.dataset}')
+        block_name_to_quantize = self.get_block_name_to_quantize(self.model)
+        modules_in_block_to_quantize = self.get_modules_in_block_to_quantize(self.model, block_name_to_quantize)
+        logger.info(f'block_name_to_quantize: {block_name_to_quantize}')
+        logger.info(f'modules_in_block_to_quantize: {modules_in_block_to_quantize}')
+        with self._patch_gptq():
+            gptq_quantizer = GPTQQuantizer(
+                bits=args.quant_bits,
+                group_size=args.group_size,
+                dataset=','.join(args.dataset),
+                batch_size=args.quant_batch_size,
+                block_name_to_quantize=block_name_to_quantize,
+                modules_in_block_to_quantize=modules_in_block_to_quantize)
+            gptq_quantizer.serialization_keys.append('block_name_to_quantize')
+            logger.info('Start quantizing the model...')
+            logger.warning('The process of packing the model takes a long time and there is no progress bar. '
+                           'Please be patient and wait...')
+            gptq_quantizer.quantize_model(self.model, self.tokenizer)
+            self.model.config.quantization_config.pop('dataset', None)
+        return gptq_quantizer
+
+
+def quantize_model(args: ExportArguments):
+    QuantEngine(args).quantize()
diff --git a/ms-swift/swift/llm/infer/__pycache__/__init__.cpython-310.pyc b/ms-swift/swift/llm/infer/__pycache__/__init__.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..ad3ee1346970f15a3490c9520a1dc49209124a6e
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diff --git a/ms-swift/swift/llm/infer/__pycache__/protocol.cpython-310.pyc b/ms-swift/swift/llm/infer/__pycache__/protocol.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..9126064e6a3f7fb3422cbf350b669126861f0934
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diff --git a/ms-swift/swift/llm/infer/infer_engine/__init__.py b/ms-swift/swift/llm/infer/infer_engine/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..668e0a726cc357fa326a880c8af32a77d4cb59a4
--- /dev/null
+++ b/ms-swift/swift/llm/infer/infer_engine/__init__.py
@@ -0,0 +1,35 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from typing import TYPE_CHECKING
+
+from swift.utils.import_utils import _LazyModule
+
+if TYPE_CHECKING:
+    from .vllm_engine import VllmEngine
+    from .grpo_vllm_engine import GRPOVllmEngine
+    from .lmdeploy_engine import LmdeployEngine
+    from .pt_engine import PtEngine
+    from .infer_client import InferClient
+    from .infer_engine import InferEngine
+    from .base import BaseInferEngine
+    from .utils import prepare_generation_config, AdapterRequest, set_device_context, patch_vllm_memory_leak
+else:
+    _import_structure = {
+        'vllm_engine': ['VllmEngine'],
+        'grpo_vllm_engine': ['GRPOVllmEngine'],
+        'lmdeploy_engine': ['LmdeployEngine'],
+        'pt_engine': ['PtEngine'],
+        'infer_client': ['InferClient'],
+        'infer_engine': ['InferEngine'],
+        'base': ['BaseInferEngine'],
+        'utils': ['prepare_generation_config', 'AdapterRequest', 'set_device_context', 'patch_vllm_memory_leak'],
+    }
+
+    import sys
+
+    sys.modules[__name__] = _LazyModule(
+        __name__,
+        globals()['__file__'],
+        _import_structure,
+        module_spec=__spec__,
+        extra_objects={},
+    )
diff --git a/ms-swift/swift/llm/infer/infer_engine/infer_client.py b/ms-swift/swift/llm/infer/infer_engine/infer_client.py
new file mode 100644
index 0000000000000000000000000000000000000000..f8689e297f4dc33df99162d51d4b379e423fe056
--- /dev/null
+++ b/ms-swift/swift/llm/infer/infer_engine/infer_client.py
@@ -0,0 +1,163 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import os
+from copy import deepcopy
+from dataclasses import asdict
+from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, Union
+
+import aiohttp
+import json
+from dacite import from_dict
+from requests.exceptions import HTTPError
+
+from swift.plugin import Metric
+from ..protocol import (ChatCompletionRequest, ChatCompletionResponse, ChatCompletionStreamResponse, InferRequest,
+                        ModelList, RequestConfig)
+from .infer_engine import InferEngine
+
+
+class InferClient(InferEngine):
+
+    def __init__(self,
+                 host: str = '127.0.0.1',
+                 port: int = 8000,
+                 api_key: str = 'EMPTY',
+                 *,
+                 base_url: Optional[str] = None,
+                 timeout: Optional[int] = None) -> None:
+        """
+        Initialize the InferClient.
+
+        Args:
+            host (str): The hostname of the inference server. Defaults to '127.0.0.1'.
+            port (str): The port of the inference server. Defaults to '8000'.
+            api_key (str): The API key for authentication. Defaults to 'EMPTY'.
+            timeout (Optional[int]): The timeout for requests in seconds. Defaults to None.
+        """
+        self.api_key = api_key
+        self.host = host
+        self.port = port
+        if timeout is None:
+            timeout = os.getenv('TIMEOUT')
+            timeout = timeout and float(timeout)
+        self.timeout = timeout
+        if base_url is None:
+            base_url = f'http://{self.host}:{self.port}/v1'
+        self.base_url = base_url
+        self._models = None
+
+    @property
+    def models(self):
+        if self._models is None:
+            models = []
+            for model in self.get_model_list().data:
+                models.append(model.id)
+            assert len(models) > 0, f'models: {models}'
+            self._models = models
+        return self._models
+
+    def get_model_list(self) -> ModelList:
+        """Get model list from the inference server.
+        """
+        coro = self.get_model_list_async()
+        return self.safe_asyncio_run(coro)
+
+    def _get_request_kwargs(self) -> Dict[str, Any]:
+        request_kwargs = {}
+        if isinstance(self.timeout, (int, float)) and self.timeout > 0:
+            request_kwargs['timeout'] = self.timeout
+        if self.api_key is not None:
+            request_kwargs['headers'] = {'Authorization': f'Bearer {self.api_key}'}
+        return request_kwargs
+
+    async def get_model_list_async(self) -> ModelList:
+        url = f"{self.base_url.rstrip('/')}/models"
+        async with aiohttp.ClientSession() as session:
+            async with session.get(url, **self._get_request_kwargs()) as resp:
+                resp_obj = await resp.json()
+        return from_dict(ModelList, resp_obj)
+
+    def infer(
+            self,
+            infer_requests: List[InferRequest],
+            request_config: Optional[RequestConfig] = None,
+            metrics: Optional[List[Metric]] = None,
+            *,
+            model: Optional[str] = None,
+            use_tqdm: Optional[bool] = None
+    ) -> List[Union[ChatCompletionResponse, Iterator[ChatCompletionStreamResponse]]]:
+        """
+        Perform inference using the specified model.
+
+        Args:
+            infer_requests (List[InferRequest]): A list of inference requests.
+            request_config (Optional[RequestConfig]): Configuration for the request. Defaults to None.
+            metrics (Optional[List[Metric]]): The usage information to return. Defaults to None.
+            model (Optional[str]): The model name to be used for inference. Defaults to None.
+            use_tqdm (Optional[bool]): Whether to use tqdm for progress tracking. Defaults to None.
+
+        Returns:
+            List[Union[ChatCompletionResponse, Iterator[ChatCompletionStreamResponse]]]:
+            The inference responses or an iterator of streaming responses.
+        """
+        return super().infer(infer_requests, request_config, metrics, model=model, use_tqdm=use_tqdm)
+
+    @staticmethod
+    def _prepare_request_data(model: str, infer_request: InferRequest, request_config: RequestConfig) -> Dict[str, Any]:
+        if not isinstance(infer_request, dict):
+            infer_request = asdict(infer_request)
+        res = asdict(ChatCompletionRequest(model, **infer_request, **asdict(request_config)))
+        # ignore empty
+        empty_request = ChatCompletionRequest('', [])
+        for k in list(res.keys()):
+            if res[k] == getattr(empty_request, k):
+                res.pop(k)
+        return res
+
+    @staticmethod
+    def _parse_stream_data(data: bytes) -> Optional[str]:
+        data = data.decode(encoding='utf-8')
+        data = data.strip()
+        if len(data) == 0:
+            return
+        assert data.startswith('data:'), f'data: {data}'
+        return data[5:].strip()
+
+    async def infer_async(
+        self,
+        infer_request: InferRequest,
+        request_config: Optional[RequestConfig] = None,
+        *,
+        model: Optional[str] = None,
+    ) -> Union[ChatCompletionResponse, AsyncIterator[ChatCompletionStreamResponse]]:
+        request_config = deepcopy(request_config or RequestConfig())
+        if model is None:
+            if len(self.models) == 1:
+                model = self.models[0]
+            else:
+                raise ValueError(f'Please explicitly specify the model. Available models: {self.models}.')
+        url = f"{self.base_url.rstrip('/')}/chat/completions"
+
+        request_data = self._prepare_request_data(model, infer_request, request_config)
+        if request_config.stream:
+
+            async def _gen_stream() -> AsyncIterator[ChatCompletionStreamResponse]:
+                async with aiohttp.ClientSession() as session:
+                    async with session.post(url, json=request_data, **self._get_request_kwargs()) as resp:
+                        async for data in resp.content:
+                            data = self._parse_stream_data(data)
+                            if data == '[DONE]':
+                                break
+                            if data is not None:
+                                resp_obj = json.loads(data)
+                                if resp_obj['object'] == 'error':
+                                    raise HTTPError(resp_obj['message'])
+                                yield from_dict(ChatCompletionStreamResponse, resp_obj)
+
+            return _gen_stream()
+        else:
+            async with aiohttp.ClientSession() as session:
+                async with session.post(url, json=request_data, **self._get_request_kwargs()) as resp:
+                    resp_obj = await resp.json()
+                    if resp_obj['object'] == 'error':
+                        raise HTTPError(resp_obj['message'])
+                    return from_dict(ChatCompletionResponse, resp_obj)
diff --git a/ms-swift/swift/llm/infer/infer_engine/patch.py b/ms-swift/swift/llm/infer/infer_engine/patch.py
new file mode 100644
index 0000000000000000000000000000000000000000..949ca39929f349b4056c56b63911741cfba00aea
--- /dev/null
+++ b/ms-swift/swift/llm/infer/infer_engine/patch.py
@@ -0,0 +1,35 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from contextlib import contextmanager
+from functools import wraps
+
+from transformers import AutoConfig, AutoTokenizer, PretrainedConfig, PreTrainedTokenizerBase
+
+
+@contextmanager
+def patch_auto_tokenizer(tokenizer: PreTrainedTokenizerBase):
+    _old_from_pretrained = AutoTokenizer.from_pretrained
+
+    @wraps(_old_from_pretrained)
+    def _from_pretrained(*args, **kwargs):
+        return tokenizer
+
+    AutoTokenizer.from_pretrained = _from_pretrained
+    try:
+        yield
+    finally:
+        AutoTokenizer.from_pretrained = _old_from_pretrained
+
+
+@contextmanager
+def patch_auto_config(config: PretrainedConfig):
+    _old_from_pretrained = AutoConfig.from_pretrained
+
+    @wraps(_old_from_pretrained)
+    def _from_pretrained(*args, **kwargs):
+        return (config, {}) if 'return_unused_kwargs' in kwargs else config
+
+    AutoConfig.from_pretrained = _from_pretrained
+    try:
+        yield
+    finally:
+        AutoConfig.from_pretrained = _old_from_pretrained
diff --git a/ms-swift/swift/llm/infer/infer_engine/utils.py b/ms-swift/swift/llm/infer/infer_engine/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..c2e8f0bd79d0e67d3833f94ab546b46c436ca282
--- /dev/null
+++ b/ms-swift/swift/llm/infer/infer_engine/utils.py
@@ -0,0 +1,730 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+
+import os
+import re
+from collections import OrderedDict
+from concurrent.futures import ThreadPoolExecutor
+from contextlib import contextmanager, nullcontext
+from dataclasses import dataclass
+from functools import partial
+from itertools import repeat
+from queue import Queue
+from typing import List, Optional, Union
+
+import torch
+import torch.distributed as dist
+from packaging import version
+from transformers import GenerationConfig, LogitsProcessor
+from transformers.generation.streamers import BaseStreamer
+
+from swift.llm.model.register import fix_do_sample_warning
+from swift.utils import get_current_device, get_device, get_device_count, get_node_setting, set_device
+from ..protocol import RequestConfig
+
+
+@dataclass
+class AdapterRequest:
+    name: str
+    path: str
+
+
+class InferTools:
+
+    @staticmethod
+    def _is_chinese_char(cp: int) -> bool:
+        """Checks whether CP is the codepoint of a CJK character."""
+        # copy from transformers.generation.streamers.TextStreamer
+        if ((0x4E00 <= cp <= 0x9FFF) or (0x3400 <= cp <= 0x4DBF) or (0x20000 <= cp <= 0x2A6DF)
+                or (0x2A700 <= cp <= 0x2B73F) or (0x2B740 <= cp <= 0x2B81F) or (0x2B820 <= cp <= 0x2CEAF)
+                or (0xF900 <= cp <= 0xFAFF) or (0x2F800 <= cp <= 0x2FA1F)):
+            return True
+
+        return False
+
+
+class InferStreamer(InferTools):
+
+    def __init__(self, template, **decode_kwargs):
+        self.template = template
+        self.tokenizer = template.tokenizer
+
+        self.cache_idx = 0  # token idx
+        self.print_idx = 0
+        self.decode_kwargs = decode_kwargs
+        self.first_num_space = -1  # The number of whitespace characters before the first token.
+        self.first_token = True
+
+    def _align_blank_suffix(self, response: str) -> str:
+        # Avoid the occurrence of repeated words in sentence.
+        cur_num_space = len(response) - len(response.lstrip(' '))
+        if self.first_num_space == -1:
+            self.first_num_space = cur_num_space
+        elif cur_num_space < self.first_num_space:
+            response = ' ' * (self.first_num_space - cur_num_space) + response
+        elif cur_num_space > self.first_num_space:
+            response = response[cur_num_space - self.first_num_space:]
+        return response
+
+    def _get_response(self, response: str, is_finished: bool, token_len: int) -> str:
+        # After the symbol for a new line, we flush the cache.
+        if self.first_token:
+            printable_text = response
+            self.first_token = False
+        elif response.endswith('\n') or is_finished:
+            printable_text = response[self.print_idx:]
+            self.cache_idx += token_len
+            self.first_num_space = -1
+            self.print_idx = 0
+        # If the last token is a CJK character, we print the characters.
+        elif len(response) > 0 and self._is_chinese_char(ord(response[-1])):
+            printable_text = response[self.print_idx:]
+            self.print_idx += len(printable_text)
+        # Otherwise, prints until the last space char (simple heuristic to avoid printing incomplete words,
+        # which may change with the subsequent token -- there are probably smarter ways to do this!)
+        else:
+            printable_text = response[self.print_idx:response.rfind(' ') + 1]
+            self.print_idx += len(printable_text)
+        return printable_text
+
+    def get_printable_text(self, raw_tokens: List[int], is_finished: bool) -> str:
+        raw_tokens = raw_tokens[self.cache_idx:]
+        if self.first_token:
+            raw_tokens = []
+        response = self.template.decode(
+            raw_tokens, is_finished=is_finished, tokenizer_kwargs=self.decode_kwargs, first_token=self.first_token)
+        response = self._align_blank_suffix(response)
+        return self._get_response(response, is_finished, len(raw_tokens))
+
+
+class StreamerMixin:
+
+    def __init__(self):
+        self.queue = Queue()
+
+    def __iter__(self):
+        return self
+
+    def __next__(self) -> torch.Tensor:
+        value = self.queue.get()
+        if value is None:
+            raise StopIteration()
+        else:
+            return value
+
+
+class TokensIteratorStreamer(StreamerMixin, BaseStreamer):
+
+    def put(self, value: torch.Tensor) -> None:
+        self.queue.put(value)
+
+    def end(self) -> None:
+        self.queue.put(None)
+
+
+class LogitsStreamer(LogitsProcessor):
+
+    def __init__(self):
+        self.queue = Queue()
+
+    def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTensor) -> torch.FloatTensor:
+        self.queue.put(scores)
+        return scores
+
+
+def _set_generation_config_default_value(model_generation_config: GenerationConfig,
+                                         generation_config: GenerationConfig) -> GenerationConfig:
+    for k, v in model_generation_config.to_dict().items():
+        new_v = getattr(generation_config, k, None)
+        if k in ['max_length']:
+            continue
+        if k in ['no_repeat_ngram_size'] or v is not None and new_v is None:
+            setattr(generation_config, k, v)
+    return generation_config
+
+
+def prepare_generation_config(model_generation_config: Optional[GenerationConfig], request_config: RequestConfig,
+                              tokenizer) -> Optional[GenerationConfig]:
+    if model_generation_config is None or request_config is None:
+        return model_generation_config
+    kwargs = {'max_new_tokens': request_config.max_tokens}
+    # not use: 'n', 'best_of', 'frequency_penalty', 'presence_penalty'
+    for key in ['length_penalty']:
+        kwargs[key] = getattr(request_config, key)
+    for key in ['temperature', 'top_k', 'top_p', 'repetition_penalty', 'num_beams']:
+        new_value = getattr(request_config, key)
+        if new_value is None:
+            kwargs[key] = getattr(model_generation_config, key)
+        else:
+            kwargs[key] = new_value
+
+    if not model_generation_config.do_sample and request_config.temperature in {0, None}:
+        kwargs['temperature'] = 0
+    if kwargs['temperature'] == 0:
+        kwargs['do_sample'] = False
+        kwargs['temperature'] = 1
+        kwargs['top_p'] = 1
+        kwargs['top_k'] = 50
+    else:
+        kwargs['do_sample'] = True
+    generation_config = GenerationConfig(**kwargs)
+    generation_config = _set_generation_config_default_value(model_generation_config, generation_config)
+    fix_do_sample_warning(generation_config)
+
+    if generation_config.eos_token_id is None:
+        generation_config.eos_token_id = tokenizer.eos_token_id
+    generation_config.pad_token_id = tokenizer.pad_token_id
+    return generation_config
+
+
+def patch_lmdeploy(load_weights=False):
+    """This patch allows lmdeploy selects device and reload state_dict"""
+    import lmdeploy
+    assert version.parse(lmdeploy.__version__) >= version.parse('0.7.0')
+    from lmdeploy.messages import TurbomindEngineConfig
+    from lmdeploy.turbomind.deploy import loader
+    from lmdeploy.turbomind.deploy.loader import create_loader
+    from lmdeploy.turbomind.deploy.source_model import llama
+
+    def _create_loader(model_path: str, pattern: str):
+        if not isinstance(model_path, (str, os.PathLike)):
+
+            def generate():
+                generator = OrderedDict()
+                model_dict = {}
+                if not isinstance(model_path, dict):
+                    for key, value in list(model_path):
+                        model_dict[key] = value
+                else:
+                    model_dict = model_path
+                for key, value in model_dict.items():
+                    match = re.findall(pattern, key)
+                    if not match:
+                        if -1 not in generator:
+                            generator[-1] = {}
+                        generator[-1][key] = value
+                    else:
+                        layer = int(match[0])
+                        if layer not in generator:
+                            generator[layer] = {}
+                        generator[layer][key] = value
+                return generator
+
+            return generate()
+        else:
+            return create_loader(model_path, pattern)
+
+    loader.create_loader = _create_loader
+    llama.create_loader = _create_loader
+
+    TurbomindEngineConfig.devices = [0]
+
+    from lmdeploy.turbomind.turbomind import TurboMind
+    from lmdeploy.turbomind.utils import ModelSource
+
+    @contextmanager
+    def patch_threadpool_map():
+        ThreadPoolExecutor.map_origin = ThreadPoolExecutor.map
+        ThreadPoolExecutor.map = lambda *args, **kwargs: []
+        yield
+        ThreadPoolExecutor.map = ThreadPoolExecutor.map_origin
+        del ThreadPoolExecutor.map_origin
+
+    @contextmanager
+    def tm_model_context(self):
+
+        def _get_tm_model(model_path,
+                          model_name,
+                          chat_template_name,
+                          engine_config: TurbomindEngineConfig,
+                          group_size: int = None,
+                          out_dir: str = None):
+            from lmdeploy.turbomind.deploy.converter import get_tm_model_origin
+            tm_model = get_tm_model_origin(model_path, model_name, chat_template_name, engine_config, group_size,
+                                           out_dir)
+            self.tm_model = tm_model
+            return tm_model
+
+        from lmdeploy.turbomind.deploy import converter
+        converter.get_tm_model_origin = converter.get_tm_model
+        converter.get_tm_model = _get_tm_model
+        yield
+        converter.get_tm_model = converter.get_tm_model_origin
+        del converter.get_tm_model_origin
+
+    def __init__(self,
+                 model_path: str,
+                 tokenizer: object,
+                 model_name: str = None,
+                 chat_template_name: str = None,
+                 engine_config: TurbomindEngineConfig = None,
+                 model_source: ModelSource = ModelSource.WORKSPACE,
+                 **kwargs):
+        self.gpu_list = engine_config.devices
+        with patch_threadpool_map(), tm_model_context(self):
+            self.__origin_init__(model_path, tokenizer, model_name, chat_template_name, engine_config, model_source,
+                                 **kwargs)
+
+        with ThreadPoolExecutor(max_workers=self.gpu_count) as e:
+            ranks = [self.node_id * self.gpu_count + device_id for device_id in range(self.gpu_count)]
+            if not load_weights:
+                for _ in e.map(self.model_comm.process_weight, self.gpu_list, ranks):
+                    pass
+            if version.parse(lmdeploy.__version__) < version.parse('0.7.2'):
+                for _ in e.map(self.model_comm.create_engine, self.gpu_list, ranks, repeat(self.nccl_params)):
+                    pass
+            else:
+                for _ in e.map(self.model_comm.create_engine, self.gpu_list, ranks):
+                    pass
+
+    def _create_weight(self, model_comm):
+        """Allocate weight buffer, load params if from_workspace."""
+
+        # TODO: support mpi
+        self.node_id = 0
+        self.node_num = 1
+        if version.parse(lmdeploy.__version__) < version.parse('0.7.2'):
+            self.nccl_params = model_comm.create_nccl_params(self.node_id)
+        torch.cuda.synchronize()
+
+        # create weight
+        def _create_weight_func(index, device_id):
+            rank = self.node_id * self.gpu_count + index
+            model_comm.create_shared_weights(device_id, rank)
+
+        with ThreadPoolExecutor(max_workers=self.gpu_count) as executor:
+            futures = []
+            for idx, device_id in enumerate(self.gpu_list):
+                futures.append(executor.submit(_create_weight_func, idx, device_id))
+            for future in futures:
+                future.result()
+
+    def _get_model_params(self, model_comm, tm_params):
+        """Get turbomind model params when loading from hf."""
+
+        def _get_params(idx, device_id, que):
+            rank = self.node_id * self.gpu_count + idx
+            out = model_comm.get_params(device_id, rank)
+            que.put(out)
+
+        que = Queue()
+        with ThreadPoolExecutor(max_workers=self.gpu_count) as executor:
+            futures = []
+            for idx, device_id in enumerate(self.gpu_list):
+                futures.append(executor.submit(_get_params, idx, device_id, que))
+            for future in futures:
+                future.result()
+
+        for _ in range(self.gpu_count):
+            tensor_map = que.get()
+            for k, v in tensor_map.items():
+                if k not in tm_params:
+                    tm_params[k] = []
+                tm_params[k].append(v)
+
+    def _load_weights(self, state_dict):
+        tm_params = self.tm_model.tm_params
+        self._get_model_params(self.model_comm, tm_params)
+        input_model = self.tm_model.input_model
+        model_path = input_model.model_path
+        input_model.model_path = state_dict
+        self.tm_model.export()
+        input_model.model_path = model_path
+
+    from lmdeploy.turbomind.turbomind import TurboMindInstance
+
+    def create_instance(self, cuda_stream_id=0):
+        return TurboMindInstance(self, self.config, cuda_stream_id, self.gpu_list)
+
+    TurboMind.__origin_init__ = TurboMind.__init__
+    TurboMind.__init__ = __init__
+    TurboMind._create_weight = _create_weight
+    TurboMind._get_model_params = _get_model_params
+    TurboMind.create_instance = create_instance
+    if load_weights:
+        TurboMind.load_weights = _load_weights
+
+    def __init_ins__(self, tm_model, config, cuda_stream_id=0, gpu_list=None):
+        if gpu_list is None:
+            gpu_list = [0]
+        self.gpu_list = gpu_list
+        self.__origin_init__(tm_model, config, cuda_stream_id)
+
+    def _create_model_instance(self, device_id):
+        model_inst = self.tm_model.model_comm.create_model_instance(self.gpu_list[0])
+        return model_inst
+
+    TurboMindInstance.__origin_init__ = TurboMindInstance.__init__
+    TurboMindInstance.__init__ = __init_ins__
+    TurboMindInstance._create_model_instance = _create_model_instance
+
+
+def patch_vllm(world_size=1):
+
+    @contextmanager
+    def _get_context():
+        from vllm.distributed.parallel_state import GroupCoordinator
+        from unittest.mock import patch
+        try:
+            from vllm.worker.worker import Worker
+            getattr(Worker, '_assert_memory_footprint_increased_during_profiling')
+            profiling_patch = patch(
+                'vllm.worker.worker.Worker._assert_memory_footprint_increased_during_profiling', return_value=None)
+        except (ImportError, AttributeError):
+            profiling_patch = nullcontext()
+
+        __origin_init__ = GroupCoordinator.__init__
+
+        def get_world_size(group=None) -> int:
+            if not group:
+                # Given size
+                return world_size
+            else:
+                return torch.distributed.get_world_size_origin(group)
+
+        def __init__(self, group_ranks, local_rank, *args, **kwargs):
+            node_rank, nnodes = get_node_setting()
+            device_count = get_device_count()
+            num_infer_workers = world_size // nnodes
+
+            def map_rank_to_real_device(obj):
+                # Use the last devices
+                # world_size=4 gpus=8 [0,1,2,3] will map to [4,5,6,7]
+                diff = device_count - num_infer_workers
+                if diff < 0:
+                    diff = 0
+                if isinstance(obj, list):
+                    return [map_rank_to_real_device(o) for o in obj]
+                elif isinstance(obj, int):
+                    return obj + diff
+                else:
+                    raise ValueError(f'Unsupported type: {obj}')
+
+            if kwargs.get('group_name') == 'world':
+                local_rank = local_rank + node_rank * num_infer_workers
+            else:
+                local_rank = map_rank_to_real_device(local_rank - node_rank * num_infer_workers)
+            rank = dist.get_rank()
+            if world_size == 1 and [rank] not in group_ranks:
+                # for ddp inference
+                group_ranks = [[rank]]
+            if nnodes > 1 and num_infer_workers < device_count:
+                """
+                Map group_ranks to global ranks
+
+                Example:
+                  - Number of nodes (nnodes): 2
+                  - Devices per node (device_count): 4
+                  - Inference workers per node (num_infer_workers): 1
+
+                  Initial group_ranks:
+                      [[0, 1]]
+
+                  After mapping to global ranks:
+                      [[0, 3]]  # Global ranks corresponding to the local ranks
+                """
+                train_device_count = device_count - num_infer_workers
+                # vllm.worker.init_distributed_environment
+                if len(group_ranks) == 1:
+                    group_ranks = group_ranks[0]
+                    for i in range(nnodes):
+                        group_ranks[i * num_infer_workers:(i + 1) * num_infer_workers] = [
+                            train_device_count * i + j for j in range(num_infer_workers)
+                        ]
+                    group_ranks = [group_ranks]
+                # vllm.worker.ensure_model_parallel_initialized
+                else:
+                    for i in range(nnodes):
+                        for j in range(num_infer_workers):
+                            group_ranks[i * num_infer_workers + j] = [train_device_count * i + j]
+
+            return __origin_init__(self, group_ranks, local_rank, *args, **kwargs)
+
+        GroupCoordinator.__init__ = __init__
+
+        try:
+            with profiling_patch, restore_torch_device_after_vllm_init():
+                torch.distributed.get_world_size_origin = torch.distributed.get_world_size
+                torch.distributed.get_world_size = get_world_size
+                yield
+                torch.distributed.get_world_size = torch.distributed.get_world_size_origin
+                del torch.distributed.get_world_size_origin
+        finally:
+            GroupCoordinator.__init__ = __origin_init__
+
+    return _get_context() if dist.is_initialized() else nullcontext()
+
+
+def patch_npu_vllm(vllm_device: str):
+    if isinstance(vllm_device, int):
+        vllm_device = get_device(vllm_device)
+    device_type = vllm_device.split(':')[0]
+
+    @contextmanager
+    def new_group_context():
+        original_new_group = torch.distributed.new_group
+        try:
+            torch.distributed.new_group = partial(original_new_group, use_local_synchronization=True)
+            torch.npu.mem_get_info = partial(torch.npu.mem_get_info, device=vllm_device)
+            yield
+        finally:
+            torch.distributed.new_group = original_new_group
+
+    return new_group_context() if device_type == 'npu' else nullcontext()
+
+
+@contextmanager
+def set_device_context(device: Union[str, int]):
+    origin_device = get_current_device()
+    set_device(device)
+    try:
+        yield
+    finally:
+        set_device(origin_device)
+
+
+@contextmanager
+def restore_torch_device_after_vllm_init():
+    """
+    A context manager to restore the original CUDA device after potential modifications.
+
+    This is specifically designed to address an issue in Distributed Data Parallel (DDP)
+    scenarios where the initialization of the vLLM engine may inadvertently modify the
+    default CUDA device. The context manager saves the current device at the start and
+    ensures it is restored upon exit, even if the device is modified within the context.
+
+    """
+    origin_device = get_current_device()
+    try:
+        yield
+    finally:
+        current_device = get_current_device()
+        if origin_device != current_device:
+            set_device(origin_device)
+
+
+def patch_vllm_memory_leak():
+    import vllm
+    if version.parse(vllm.__version__) != version.parse('0.7.3'):
+        return
+
+    def patch_vllm_abort_seq_group():
+        from vllm.core.scheduler import Scheduler
+        from typing import Iterable, Dict
+        from vllm.sequence import SequenceGroupBase, SequenceGroup, SequenceStatus
+
+        def new_abort_seq_group(
+            self,
+            request_id: Union[str, Iterable[str]],
+            seq_id_to_seq_group: Optional[Dict[str, SequenceGroupBase]] = None,
+        ) -> None:
+            if isinstance(request_id, str):
+                request_id = (request_id, )
+            request_ids = set(request_id)
+            seq_id_to_seq_group = seq_id_to_seq_group or {}
+            for state_queue in [self.waiting, self.running, self.swapped]:
+                aborted_groups: List[SequenceGroup] = []
+                for seq_group in state_queue:
+                    # When n>1, seq_group.request_id looks like
+                    # foo_parallel_sample_0, while request_ids is just foo, and we
+                    # should resolve it as real_request_id to match.
+                    if seq_group.request_id in seq_id_to_seq_group:
+                        real_request_id = seq_id_to_seq_group[seq_group.request_id].group_id
+                    else:
+                        real_request_id = seq_group.request_id
+                    if real_request_id in request_ids:
+                        # Appending aborted group into pending list.
+                        aborted_groups.append(seq_group)
+                        # We can't remove real_request_id in request_ids here,
+                        # because there may be other seq groups sharing the same
+                        # real_request_id
+                for aborted_group in aborted_groups:
+                    # Remove the sequence group from the state queue.
+                    state_queue.remove(aborted_group)
+                    # Remove the aborted request from the Mamba cache.
+                    self._finished_requests_ids.append(aborted_group.request_id)
+                    for seq in aborted_group.get_seqs():
+                        if seq.is_finished():
+                            continue
+                        seq.status = SequenceStatus.FINISHED_ABORTED
+                        self.free_seq(seq)
+                    if aborted_group.request_id in seq_id_to_seq_group:
+                        del seq_id_to_seq_group[aborted_group.request_id]
+
+                    self._free_seq_group_cross_attn_blocks(aborted_group)
+
+        origin_method = Scheduler.abort_seq_group
+        Scheduler._old_abort_seq_group = origin_method
+        Scheduler.abort_seq_group = new_abort_seq_group
+
+    def patch_vllm_engine():
+        from vllm.engine.llm_engine import LLMEngine, SchedulerOutputState
+        from vllm.outputs import PoolingRequestOutput, RequestOutput
+        from vllm.sequence import ExecuteModelRequest
+
+        def new_abort_request(self, request_id) -> None:
+            for scheduler in self.scheduler:
+                scheduler.abort_seq_group(request_id, seq_id_to_seq_group=self.seq_id_to_seq_group)
+
+        origin_method = LLMEngine.abort_request
+        LLMEngine._old_abort_request = origin_method
+        LLMEngine.abort_request = new_abort_request
+
+        def new_step(self) -> List[Union[RequestOutput, PoolingRequestOutput]]:
+            if self.parallel_config.pipeline_parallel_size > 1:
+                raise NotImplementedError('Pipeline parallelism is only supported through AsyncLLMEngine '
+                                          'as performance will be severely degraded otherwise.')
+
+            # For llm_engine, there is no pipeline parallel support, so the engine
+            # used is always 0.
+            virtual_engine = 0
+
+            # These are cached outputs from previous iterations. None if on first
+            # iteration
+            cached_outputs = self.cached_scheduler_outputs[virtual_engine]
+            seq_group_metadata_list = cached_outputs.seq_group_metadata_list
+            scheduler_outputs = cached_outputs.scheduler_outputs
+            allow_async_output_proc = cached_outputs.allow_async_output_proc
+
+            ctx = self.scheduler_contexts[virtual_engine]
+
+            # Clear outputs for each new scheduler iteration
+            ctx.request_outputs.clear()
+
+            # Skip the scheduler if there are any remaining steps in the seq groups.
+            # This ensures that the scheduler is only called again when the current
+            # batch has completed.
+            # The scheduler is also skipped if a single request caused the last
+            # engine step to fail, and the previous schedule needs to be rerun.
+            if not self._has_remaining_steps(seq_group_metadata_list):
+                # Schedule iteration
+                (seq_group_metadata_list, scheduler_outputs,
+                 allow_async_output_proc) = self.scheduler[virtual_engine].schedule()
+
+                ctx.seq_group_metadata_list = seq_group_metadata_list
+                ctx.scheduler_outputs = scheduler_outputs
+
+                finished_requests_ids = self.scheduler[virtual_engine].get_and_reset_finished_requests_ids()
+                # When n>1, elements in self.seq_id_to_seq_group should be deleted
+                # here, otherwise memory leaks.
+                for finished_request_id in finished_requests_ids:
+                    if finished_request_id in self.seq_id_to_seq_group:
+                        del self.seq_id_to_seq_group[finished_request_id]
+
+                # Maybe switch from async mode to sync mode
+                if not allow_async_output_proc and len(ctx.output_queue) > 0:
+                    self._process_model_outputs(ctx=ctx)
+
+                if (self.scheduler_config.is_multi_step and scheduler_outputs.num_lookahead_slots > 0):
+                    # cache the scheduler outputs for the next iteration if we have
+                    # lookahead slots
+                    self._cache_scheduler_outputs_for_multi_step(virtual_engine, seq_group_metadata_list,
+                                                                 scheduler_outputs, allow_async_output_proc)
+            else:
+                finished_requests_ids = list()
+
+            assert seq_group_metadata_list is not None
+            assert scheduler_outputs is not None
+
+            if not scheduler_outputs.is_empty():
+
+                # Check if we have a cached last_output from the previous iteration.
+                # For supporting PP this is probably the best way to pass the
+                # sampled_token_ids, as a separate broadcast over all the PP stages
+                # will cause one virtual engine's microbatch to block the pipeline.
+                last_sampled_token_ids = \
+                    self._get_last_sampled_token_ids(virtual_engine)
+
+                execute_model_req = ExecuteModelRequest(
+                    seq_group_metadata_list=seq_group_metadata_list,
+                    blocks_to_swap_in=scheduler_outputs.blocks_to_swap_in,
+                    blocks_to_swap_out=scheduler_outputs.blocks_to_swap_out,
+                    blocks_to_copy=scheduler_outputs.blocks_to_copy,
+                    num_lookahead_slots=scheduler_outputs.num_lookahead_slots,
+                    running_queue_size=scheduler_outputs.running_queue_size,
+                    finished_requests_ids=finished_requests_ids,
+                    # We use ExecuteModelRequest to pass the last sampled_token_ids
+                    # to each of the non-last PP stages for in-place prepare_input.
+                    last_sampled_token_ids=last_sampled_token_ids)
+
+                if allow_async_output_proc:
+                    execute_model_req.async_callback = self.async_callbacks[virtual_engine]
+
+                outputs = self.model_executor.execute_model(execute_model_req=execute_model_req)
+
+                # We need to do this here so that last step's sampled_token_ids can
+                # be passed to the next iteration for PP.
+                if self.scheduler_config.is_multi_step:
+                    self._update_cached_scheduler_output(virtual_engine, outputs)
+            else:
+                # Nothing scheduled => If there is pending async postprocessor,
+                # then finish it here.
+                if len(ctx.output_queue) > 0:
+                    self._process_model_outputs(ctx=ctx)
+                # No outputs in this case
+                outputs = []
+
+            # Finish the current step for all the sequence groups.
+            if self.scheduler_config.is_multi_step:
+                for seq_group in seq_group_metadata_list:
+                    seq_group.finish_step()
+
+            if not self._has_remaining_steps(seq_group_metadata_list):
+                # clear the cache if we have finished all the steps.
+                if self.scheduler_config.is_multi_step:
+                    self.cached_scheduler_outputs[0] = SchedulerOutputState()
+
+                # is_first_step_output is True only when the num_steps of all
+                # the sequences are 1. When the num_steps > 1,
+                # multi_step_model_runner does the first-step output append.
+                is_first_step_output: bool = False if not seq_group_metadata_list \
+                    else seq_group_metadata_list[0].state.num_steps == 1
+
+                # Add results to the output_queue
+                ctx.append_output(
+                    outputs=outputs,
+                    seq_group_metadata_list=seq_group_metadata_list,
+                    scheduler_outputs=scheduler_outputs,
+                    is_async=allow_async_output_proc,
+                    is_last_step=True,
+                    is_first_step_output=is_first_step_output)
+
+                if outputs and allow_async_output_proc:
+                    assert len(outputs) == 1, ('Async postprocessor expects only a single output set')
+
+                    self._advance_to_next_step(outputs[0], seq_group_metadata_list,
+                                               scheduler_outputs.scheduled_seq_groups)
+
+                # Check if need to run the usual non-async path
+                if not allow_async_output_proc:
+                    self._process_model_outputs(ctx=ctx)
+
+                    # Log stats.
+                    self.do_log_stats(scheduler_outputs, outputs)
+
+                    # Tracing
+                    self.do_tracing(scheduler_outputs)
+            else:
+                # Multi-step case
+                return ctx.request_outputs
+
+            if not self.has_unfinished_requests():
+                # Drain async postprocessor (if exists)
+                if len(ctx.output_queue) > 0:
+                    self._process_model_outputs(ctx=ctx)
+                assert len(ctx.output_queue) == 0
+
+                # Stop the execute model loop in parallel workers until there are
+                # more requests to process. This avoids waiting indefinitely in
+                # torch.distributed ops which may otherwise timeout, and unblocks
+                # the RPC thread in the workers so that they can process any other
+                # queued control plane messages, such as add/remove lora adapters.
+                self.model_executor.stop_remote_worker_execution_loop()
+
+            return ctx.request_outputs
+
+        origin_method = LLMEngine.step
+        LLMEngine._old_step = origin_method
+        LLMEngine.step = new_step
+
+    patch_vllm_abort_seq_group()
+    patch_vllm_engine()
diff --git a/ms-swift/swift/llm/infer/protocol.py b/ms-swift/swift/llm/infer/protocol.py
new file mode 100644
index 0000000000000000000000000000000000000000..0d93e3992ce9a405416efc08fca1fab697758444
--- /dev/null
+++ b/ms-swift/swift/llm/infer/protocol.py
@@ -0,0 +1,349 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import base64
+import io
+import os
+import time
+import uuid
+from copy import deepcopy
+from dataclasses import asdict, dataclass, field, fields
+from typing import Any, Dict, List, Literal, Optional, Tuple, Union
+
+import json
+from PIL import Image
+from pydantic import BaseModel
+
+from ..template import InferRequest
+from ..utils import Messages, Tool
+
+
+def random_uuid() -> str:
+    return str(uuid.uuid4().hex)
+
+
+@dataclass
+class Model:
+    id: str  # model_type
+
+    object: str = 'model'
+    created: int = field(default_factory=lambda: int(time.time()))
+    owned_by: str = 'ms-swift'
+
+
+@dataclass
+class ModelList:
+    data: List[Model]
+    object: str = 'list'
+
+
+@dataclass
+class RequestConfig:
+    """NOTE: The following behavior is inconsistent with the OpenAI API.
+    Default values for OpenAI:
+        temperature = 1.
+        top_k = -1
+        top_p = 1.
+        repetition_penalty = 1.
+    """
+    max_tokens: Optional[int] = None  # None: max_model_len - num_tokens
+    # None: use deploy_args
+    temperature: Optional[float] = None
+    top_k: Optional[int] = None
+    top_p: Optional[float] = None
+    repetition_penalty: Optional[float] = None
+    num_beams: int = 1
+    stop: Optional[List[str]] = field(default_factory=list)
+
+    seed: Optional[int] = None
+    stream: bool = False
+    logprobs: bool = False
+    top_logprobs: Optional[int] = None
+
+    n: int = 1
+    best_of: Optional[int] = None
+    presence_penalty: float = 0.
+    frequency_penalty: float = 0.
+    length_penalty: float = 1.
+
+    def __post_init__(self):
+        if self.stop is None:
+            self.stop = []
+
+
+@dataclass
+class CompletionRequestMixin:
+    model: str
+    prompt: str
+
+
+@dataclass
+class ChatCompletionRequestMixin:
+    model: str
+    messages: Messages
+    tools: Optional[List[Tool]] = None
+    tool_choice: Optional[Union[str, Dict]] = None
+
+    def __post_init__(self):
+        if self.tool_choice is None:
+            self.tool_choice = 'none' if self.tools is None else 'auto'
+
+        if self.tools:
+            if self.tool_choice == 'none':
+                self.tools = None
+            elif isinstance(self.tool_choice, dict):
+                name = self.tool_choice['function']['name']
+                tool = next(tool for tool in self.tools if tool['function']['name'] == name)
+                if tool is None:
+                    raise ValueError(f"Tool choice '{name}' not found in tools.")
+                self.tools = [tool]
+
+
+@dataclass
+class MultiModalRequestMixin:
+    images: List[str] = field(default_factory=list)
+    audios: List[str] = field(default_factory=list)
+    videos: List[str] = field(default_factory=list)
+    objects: Dict[str, List[Any]] = field(default_factory=dict)
+
+    @staticmethod
+    def to_base64(mm_data: Union[str, Image.Image, bytes]) -> str:
+        if isinstance(mm_data, dict) and 'bytes' in mm_data:
+            mm_data = mm_data['bytes'] or mm_data['path']
+        if isinstance(mm_data, str) and not os.path.isfile(mm_data):
+            # base64 or url
+            return mm_data
+        if isinstance(mm_data, str):
+            # local_path
+            with open(mm_data, 'rb') as f:
+                bytes_ = f.read()
+        elif isinstance(mm_data, Image.Image):
+            bytes_io = io.BytesIO()
+            mm_data.save(bytes_io, format='png')
+            bytes_ = bytes_io.getvalue()
+        else:
+            bytes_ = mm_data
+        img_base64: str = base64.b64encode(bytes_).decode('utf-8')
+        return img_base64
+
+    def __post_init__(self):
+        for key in ['images', 'audios', 'videos']:
+            values = getattr(self, key)
+            if isinstance(values, str):
+                values = [values]
+                setattr(self, key, values)
+            for i, val in enumerate(values):
+                values[i] = self.to_base64(val)
+
+
+@dataclass
+class CompletionRequest(RequestConfig, MultiModalRequestMixin, CompletionRequestMixin):
+
+    def __post_init__(self):
+        RequestConfig.__post_init__(self)
+        MultiModalRequestMixin.__post_init__(self)
+
+
+@dataclass
+class ChatCompletionRequest(RequestConfig, MultiModalRequestMixin, ChatCompletionRequestMixin):
+
+    def __post_init__(self):
+        RequestConfig.__post_init__(self)
+        MultiModalRequestMixin.__post_init__(self)
+        ChatCompletionRequestMixin.__post_init__(self)
+        self.convert_to_base64()
+
+    def convert_to_base64(self):
+        for message in self.messages:
+            content = message['content']
+            if isinstance(content, str):
+                continue
+            for item in content:
+                key: str = item['type']
+                if key == 'text':
+                    continue
+
+                key_origin = key
+                value = item[key]
+                if key.endswith('_url'):
+                    key = key[:-len('_url')]
+                is_dict = False
+                if isinstance(value, dict):
+                    is_dict = True
+                    value = value['url']
+                if isinstance(value, str) and (value.startswith('data:') or value.startswith('http')
+                                               or len(value) > 200):
+                    continue
+
+                # local_path / PIL.Image
+                if isinstance(value, str) and os.path.isfile(value):
+                    suffix = os.path.splitext(value)[1][1:].lower()
+                elif isinstance(value, Image.Image):
+                    suffix = 'jpeg'
+                else:
+                    raise ValueError(f'value: {value}')
+                mm_data_base64 = self.to_base64(value)
+                new_value = f'data:{key}/{suffix};base64,{mm_data_base64}'
+                if is_dict:
+                    new_value = {'url': new_value}
+                item[key_origin] = new_value
+
+    def parse(self) -> Tuple['InferRequest', 'RequestConfig']:
+        data = asdict(self)
+        res = []
+        for cls_type in [InferRequest, RequestConfig]:
+            parameters = set(f.name for f in fields(cls_type))
+            _data = {k: v for k, v in data.items() if k in parameters}
+            res.append(cls_type(**_data))
+        return tuple(res)
+
+    @classmethod
+    def from_cmpl_request(cls, cmpl_request: CompletionRequest) -> 'ChatCompletionRequest':
+        cmpl_request = asdict(cmpl_request)
+        prompt = cmpl_request.pop('prompt')
+        cmpl_request['messages'] = [{'role': 'user', 'content': prompt}]
+        return cls(**cmpl_request)
+
+
+@dataclass
+class UsageInfo:
+    prompt_tokens: int
+    completion_tokens: int
+    total_tokens: int
+
+
+@dataclass
+class Function:
+    name: str
+    arguments: Optional[str]
+
+    def __post_init__(self):
+        if not isinstance(self.arguments, str):
+            self.arguments = json.dumps(self.arguments)
+        self.name = self.name.strip()
+        self.arguments = self.arguments.strip()
+
+
+@dataclass
+class ChatCompletionMessageToolCall:
+    function: Function
+    type: str = 'function'
+    id: str = field(default_factory=lambda: f'toolcall-{random_uuid()}')
+
+
+@dataclass
+class ChatMessage:
+    role: Literal['system', 'user', 'assistant']
+    content: Union[str, List[Dict[str, Any]], int, float]
+    tool_calls: Optional[List[ChatCompletionMessageToolCall]] = None
+
+
+@dataclass
+class ChatCompletionResponseChoice:
+    index: int
+    message: ChatMessage
+    finish_reason: Literal['stop', 'length', None]
+    logprobs: Optional[Dict[str, List[Dict[str, Any]]]] = None
+
+    def to_cmpl_choice(self) -> 'CompletionResponseChoice':
+        self = deepcopy(self)
+        assert not self.message.tool_calls, f'message: {self.message}'
+        return CompletionResponseChoice(self.index, self.message.content, self.finish_reason, self.logprobs)
+
+
+@dataclass
+class CompletionResponseChoice:
+    index: int
+    text: str
+    finish_reason: Literal['stop', 'length', None]
+    logprobs: Optional[Dict[str, List[Dict[str, Any]]]] = None
+
+
+@dataclass
+class ChatCompletionResponse:
+    model: str
+    choices: List[ChatCompletionResponseChoice]
+    usage: UsageInfo
+    id: str = field(default_factory=lambda: f'chatcmpl-{random_uuid()}')
+    object: str = 'chat.completion'
+    created: int = field(default_factory=lambda: int(time.time()))
+
+    def to_cmpl_response(self) -> 'CompletionResponse':
+        self = deepcopy(self)
+        choices = [choice.to_cmpl_choice() for choice in self.choices]
+        id_ = f'cmpl{self.id[len("chatcmpl"):]}'
+        return CompletionResponse(self.model, choices, self.usage, id_, created=self.created)
+
+
+@dataclass
+class CompletionResponse:
+    model: str
+    choices: List[CompletionResponseChoice]
+    usage: UsageInfo
+    id: str = field(default_factory=lambda: f'cmpl-{random_uuid()}')
+    object: str = 'text_completion'
+    created: int = field(default_factory=lambda: int(time.time()))
+
+
+@dataclass
+class DeltaMessage:
+    role: Literal['system', 'user', 'assistant', None] = None
+    content: Optional[str] = None
+    tool_calls: Optional[List[ChatCompletionMessageToolCall]] = None
+
+
+@dataclass
+class ChatCompletionResponseStreamChoice:
+    index: int
+    delta: DeltaMessage
+    finish_reason: Literal['stop', 'length', None]
+    logprobs: Optional[Dict[str, List[Dict[str, Any]]]] = None
+
+    def to_cmpl_choice(self) -> 'CompletionResponseStreamChoice':
+        self = deepcopy(self)
+        assert not self.delta.tool_calls
+        return CompletionResponseStreamChoice(self.index, self.delta.content, self.finish_reason, self.logprobs)
+
+
+@dataclass
+class CompletionResponseStreamChoice:
+    index: int
+    text: str
+    finish_reason: Literal['stop', 'length', None]
+    logprobs: Optional[Dict[str, List[Dict[str, Any]]]] = None
+
+
+@dataclass
+class ChatCompletionStreamResponse:
+    model: str
+    choices: List[ChatCompletionResponseStreamChoice]
+    usage: Optional[UsageInfo] = None
+    id: str = field(default_factory=lambda: f'chatcmpl-{random_uuid()}')
+    object: str = 'chat.completion.chunk'
+    created: int = field(default_factory=lambda: int(time.time()))
+
+    def to_cmpl_response(self) -> 'CompletionStreamResponse':
+        self = deepcopy(self)
+        choices = [choice.to_cmpl_choice() for choice in self.choices]
+        id_ = f'cmpl{self.id[len("chatcmpl"):]}'
+        return CompletionStreamResponse(self.model, choices, self.usage, id_, created=self.created)
+
+
+@dataclass
+class CompletionStreamResponse:
+    model: str
+    choices: List[CompletionResponseStreamChoice]
+    usage: Optional[UsageInfo] = None
+    id: str = field(default_factory=lambda: f'cmpl-{random_uuid()}')
+    object: str = 'text_completion.chunk'
+    created: int = field(default_factory=lambda: int(time.time()))
+
+
+class InitCommunicatorRequest(BaseModel):
+    host: str
+    port: int
+    world_size: int
+
+
+class UpdateWeightsRequest(BaseModel):
+    name: str
+    dtype: str
+    shape: list[int]
diff --git a/ms-swift/swift/llm/infer/rollout.py b/ms-swift/swift/llm/infer/rollout.py
new file mode 100644
index 0000000000000000000000000000000000000000..3fb05cf3d705bc3d8d87d6f63da40af3cb9252fb
--- /dev/null
+++ b/ms-swift/swift/llm/infer/rollout.py
@@ -0,0 +1,301 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+# Code partially sourced from Hugging Face TRL
+
+import inspect
+import multiprocessing
+import os
+import time
+from contextlib import asynccontextmanager, contextmanager
+from dataclasses import asdict
+from itertools import chain
+from multiprocessing import Pipe, Process
+from multiprocessing.connection import Connection
+from typing import List, Optional, Union
+
+import torch
+import uvicorn
+from aiohttp import ClientConnectorError
+from fastapi import FastAPI
+
+from swift.llm import DeployArguments, InferArguments, SwiftPipeline
+from swift.llm.template.template_inputs import RolloutInferRequest
+from swift.utils import get_logger
+from .infer_engine import InferClient, VllmEngine
+from .protocol import InitCommunicatorRequest, RequestConfig, UpdateWeightsRequest
+
+try:
+    from vllm.utils import get_open_port
+    from trl.scripts.vllm_serve import chunk_list
+
+except ImportError:
+    pass
+
+logger = get_logger()
+
+
+def safe_set_start_method():
+    if multiprocessing.get_start_method(allow_none=True) is None:
+        multiprocessing.set_start_method('spawn')
+
+
+def llm_worker(args: DeployArguments, data_parallel_rank: int, master_port: int, connection: Connection) -> None:
+    # Set required environment variables for DP to work with vLLM
+    os.environ['VLLM_DP_RANK'] = str(data_parallel_rank)
+    os.environ['VLLM_DP_RANK_LOCAL'] = str(data_parallel_rank)
+    os.environ['VLLM_DP_SIZE'] = str(args.data_parallel_size)
+    os.environ['VLLM_DP_MASTER_PORT'] = str(master_port)
+    engine = SwiftRolloutDeploy.get_infer_engine(args)
+
+    # Send ready signal to parent process
+    connection.send({'status': 'ready'})
+
+    while True:
+        # Wait for commands from the parent process
+        try:
+            command = connection.recv()
+        except KeyboardInterrupt:
+            engine.inner_model_executor.collective_rpc(method='close_communicator')
+            break
+
+        # Handle commands
+        if command['type'] in ['call', 'fire_and_forget']:
+            method_name = command['method']
+            args, kwargs = command.get('args', ()), command.get('kwargs', {})
+            method = getattr(engine, method_name, None) or getattr(engine.engine, method_name, None)
+            result = method(*args, **kwargs)
+            if command['type'] == 'call':
+                connection.send(result)
+        elif command['type'] == 'shutdown':
+            break
+
+
+class SwiftRolloutDeploy(SwiftPipeline):
+    args_class = DeployArguments
+    args: args_class
+
+    def _register_rl_rollout_app(self):
+        self.app.get('/health/')(self.health)
+        self.app.get('/get_world_size/')(self.get_world_size)
+        self.app.post('/init_communicator/')(self.init_communicator)
+        self.app.post('/update_named_param/')(self.update_named_param)
+        self.app.post('/reset_prefix_cache/')(self.reset_prefix_cache)
+        self.app.post('/close_communicator/')(self.close_communicator)
+        self.app.post('/infer/', response_model=None)(self.infer)
+
+    def __init__(self, args: Union[List[str], DeployArguments, None] = None):
+        super().__init__(args)
+        assert self.args.data_parallel_size == 1, 'currently, DP is not supported, please set --data_parallel_size 1'
+        safe_set_start_method()
+        self.app = FastAPI(lifespan=self.lifespan)
+        self._register_rl_rollout_app()
+        self.master_port = get_open_port()
+        self.connections = []
+        self.processes = []
+        self._start_data_parallel_workers()
+
+    def _start_data_parallel_workers(self):
+        for data_parallel_rank in range(self.args.data_parallel_size):
+            parent_conn, child_conn = Pipe()
+            process = Process(target=llm_worker, args=(self.args, data_parallel_rank, self.master_port, child_conn))
+            process.start()
+            self.connections.append(parent_conn)
+            self.processes.append(process)
+
+    @asynccontextmanager
+    async def lifespan(self, app: FastAPI):
+        # Wait for all workers to send "ready"
+        ready_connections = set()
+        while len(ready_connections) < self.args.data_parallel_size:
+            for connection in self.connections:
+                msg = connection.recv()
+                if isinstance(msg, dict) and msg.get('status') == 'ready':
+                    ready_connections.add(connection)
+
+        yield
+
+        # Wait for processes to terminate
+        for process in self.processes:
+            process.join(timeout=10)  # Wait for 10 seconds for the process to terminate
+            if process.is_alive():
+                logger.warning(f'Process {process} is still alive after 10 seconds, attempting to terminate...')
+                process.terminate()
+                process.join()  # ensure process termination after calling terminate()
+
+    @staticmethod
+    def get_infer_engine(args: InferArguments, **kwargs):
+        kwargs.update({
+            'model_id_or_path': args.model,
+            'model_type': args.model_type,
+            'revision': args.model_revision,
+            'torch_dtype': args.torch_dtype,
+        })
+        infer_backend = kwargs.pop('infer_backend', None) or args.infer_backend
+        if infer_backend != 'vllm':
+            infer_backend = 'vllm'
+            logger.info('Currently, rollout only supports the vLLM backend. Set vLLM backend')
+        use_async_engine = args.use_async_engine
+        if use_async_engine:
+            use_async_engine = False
+            logger.info("currently, rollout don't support async engine, set use_async_engine False")
+        kwargs.update(args.get_vllm_engine_kwargs())
+        kwargs.update({'use_async_engine': use_async_engine})
+        # used for RL external rollout backend
+        engine_kwargs = kwargs.get('engine_kwargs', {})
+        # for RL rollout model weight sync
+        engine_kwargs.update({'worker_extension_cls': 'trl.scripts.vllm_serve.WeightSyncWorkerExtension'})
+        engine_kwargs.update({'data_parallel_size': args.data_parallel_size})
+        kwargs['engine_kwargs'] = engine_kwargs
+        return VllmEngine(**kwargs)
+
+    async def health(self):
+        """
+        Health check endpoint to verify that the server is running.
+        """
+        return {'status': 'ok'}
+
+    async def get_world_size(self):
+        """
+        Retrieves the world size from the LLM engine.
+
+        Returns:
+            `dict`:
+                A dictionary containing the world size.
+
+        Example response:
+        ```json
+        {"world_size": 8}
+        ```
+        """
+        return {'world_size': self.args.tensor_parallel_size * self.args.data_parallel_size}
+
+    async def init_communicator(self, request: InitCommunicatorRequest):
+        """
+        Initializes the communicator for synchronizing model weights between a client and multiple server
+        workers.
+
+        Args:
+            request (`InitCommunicatorRequest`):
+                - `host` (`str`): Hostname or IP address of the master node.
+                - `port` (`int`): Port number to be used for communication.
+                - `world_size` (`int`): Total number of participating processes in the group.
+        """
+        world_size = self.args.tensor_parallel_size * self.args.data_parallel_size + 1
+
+        # The function init_communicator is called this way: init_communicator(host, port, world_size)
+        # So with collective_rpc we need to call it this way:
+        # llm.collective_rpc(method="init_communicator", args=(host, port, world_size))
+        kwargs = {'method': 'init_communicator', 'args': (request.host, request.port, world_size)}
+        for connection in self.connections:
+            connection.send({'type': 'fire_and_forget', 'method': 'collective_rpc', 'kwargs': kwargs})
+
+        return {'message': 'Request received, initializing communicator'}
+
+    async def update_named_param(self, request: UpdateWeightsRequest):
+        """
+        Updates the model weights with the provided tensor.
+
+        Once this endpoint is called, the client process should broadcast the updated weights to all server workers.
+
+        Args:
+            request (`UpdateWeightsRequest`):
+                - `name` (`str`): Name of the weight tensor being updated.
+                - `dtype` (`str`): Data type of the weight tensor (e.g., `"torch.float32"`).
+                - `shape` (list of `int`): Shape of the weight
+
+        """
+        # The function update_named_param is called this way: update_named_param("name", torch.float32, (10, 10))
+        # So with collective_rpc we need to call it this way:
+        # llm.collective_rpc("update_named_param", args=("name", torch.float32, (10, 10)))
+        dtype = torch.__getattribute__(request.dtype.split('.')[-1])
+        kwargs = {'method': 'update_named_param', 'args': (request.name, dtype, tuple(request.shape))}
+        for connection in self.connections:
+            connection.send({'type': 'fire_and_forget', 'method': 'collective_rpc', 'kwargs': kwargs})
+
+        return {'message': 'Request received, updating named parameter'}
+
+    async def reset_prefix_cache(self):
+        """
+        Resets the prefix cache for the model.
+        """
+        for connection in self.connections:
+            connection.send({'type': 'call', 'method': 'reset_prefix_cache'})
+        # Wait for and collect all results
+        all_outputs = [connection.recv() for connection in self.connections]
+        success = all(output for output in all_outputs)
+        return {'message': 'Request received, resetting prefix cache status: ' + str(success)}
+
+    async def close_communicator(self):
+        """
+        Closes the weight update group and cleans up associated resources.
+        """
+        kwargs = {'method': 'close_communicator'}
+        for connection in self.connections:
+            connection.send({'type': 'fire_and_forget', 'method': 'collective_rpc', 'kwargs': kwargs})
+        return {'message': 'Request received, closing communicator'}
+
+    async def infer(
+        self,
+        infer_requests: List[RolloutInferRequest],
+        request_config: Optional[RequestConfig] = None,
+        *,
+        use_tqdm: Optional[bool] = None,
+    ):
+        chunked_infer_requests = chunk_list(infer_requests, self.args.data_parallel_size)
+
+        # Send the prompts to each worker
+        for connection, infer_requests in zip(self.connections, chunked_infer_requests):
+            # When the number of prompts is less than data_parallel_size, some workers will receive empty prompts.
+            # However, vLLM requires that we always send at least one prompt. So we send a placeholder prompt to comply
+            # with vLLM's requirement, and we later ignore the result.
+            if not infer_requests:
+                infer_requests = RolloutInferRequest(messages=None)
+            kwargs = {'infer_requests': infer_requests, 'request_config': request_config, 'use_tqdm': use_tqdm}
+            connection.send({'type': 'call', 'method': 'infer', 'kwargs': kwargs})
+
+        all_outputs = [connection.recv() for connection in self.connections]
+        # Handle empty prompts (see above)
+        all_outputs = [output for output, prompts in zip(all_outputs, chunked_infer_requests) if infer_requests]
+        all_outputs = list(chain.from_iterable(all_outputs))  # from list of list to single list
+
+        return all_outputs
+
+    def run(self):
+        args = self.args
+        uvicorn.run(self.app, host=args.host, port=args.port, log_level=args.log_level)
+
+
+def rollout_main(args: Union[List[str], DeployArguments, None] = None) -> None:
+    SwiftRolloutDeploy(args).main()
+
+
+def is_accessible(port: int):
+    infer_client = InferClient(port=port)
+    try:
+        infer_client.get_model_list()
+    except ClientConnectorError:
+        return False
+    return True
+
+
+@contextmanager
+def run_rollout(args: DeployArguments, return_url: bool = False):
+    if isinstance(args, DeployArguments) and args.__class__.__name__ == 'DeployArguments':
+        deploy_args = args
+    else:
+        args_dict = asdict(args)
+        parameters = inspect.signature(DeployArguments).parameters
+        for k in list(args_dict.keys()):
+            if k not in parameters or args_dict[k] is None:
+                args_dict.pop(k)
+        deploy_args = DeployArguments(**args_dict)
+
+    mp = multiprocessing.get_context('spawn')
+    process = mp.Process(target=rollout_main, args=(deploy_args, ))
+    process.start()
+    try:
+        while not is_accessible(deploy_args.port):
+            time.sleep(1)
+        yield f'http://127.0.0.1:{deploy_args.port}/v1' if return_url else deploy_args.port
+    finally:
+        process.terminate()
+        logger.info('The deployment process has been terminated.')
diff --git a/ms-swift/swift/llm/model/__init__.py b/ms-swift/swift/llm/model/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..5e6a49cbbcf230212c444847570141ae595c8870
--- /dev/null
+++ b/ms-swift/swift/llm/model/__init__.py
@@ -0,0 +1,9 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from . import model
+from .constant import LLMModelType, MLLMModelType, ModelType
+from .model_arch import MODEL_ARCH_MAPPING, ModelArch, ModelKeys, MultiModelKeys, get_model_arch, register_model_arch
+from .register import (MODEL_MAPPING, Model, ModelGroup, ModelMeta, fix_do_sample_warning, get_default_device_map,
+                       get_default_torch_dtype, get_matched_model_meta, get_model_info_meta, get_model_name,
+                       get_model_tokenizer, get_model_tokenizer_multimodal, get_model_tokenizer_with_flash_attn,
+                       load_by_unsloth, register_model)
+from .utils import HfConfigFactory, ModelInfo, git_clone_github, safe_snapshot_download
diff --git a/ms-swift/swift/llm/model/__pycache__/constant.cpython-310.pyc b/ms-swift/swift/llm/model/__pycache__/constant.cpython-310.pyc
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diff --git a/ms-swift/swift/llm/model/model/__init__.py b/ms-swift/swift/llm/model/model/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..589738abc708d37a9013abbec38984f50ca5ce38
--- /dev/null
+++ b/ms-swift/swift/llm/model/model/__init__.py
@@ -0,0 +1,3 @@
+from . import (baai, baichuan, bert, codefuse, deepseek, gemma, glm, internlm, llama, llava, llm, mamba, microsoft,
+               minicpm, minimax, mistral, mllm, moonshot, mplug, openbuddy, qwen, skywork, stepfun, telechat, valley,
+               yi)
diff --git a/ms-swift/swift/llm/model/model/__pycache__/baai.cpython-310.pyc b/ms-swift/swift/llm/model/model/__pycache__/baai.cpython-310.pyc
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new file mode 100644
index 0000000000000000000000000000000000000000..14e20f68ef95aa7c15498dbf7f68eefc14e2ab32
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diff --git a/ms-swift/swift/llm/model/model/baai.py b/ms-swift/swift/llm/model/model/baai.py
new file mode 100644
index 0000000000000000000000000000000000000000..fdc7a0fe291bdb2da5c764f1e42c7a44c2a2a091
--- /dev/null
+++ b/ms-swift/swift/llm/model/model/baai.py
@@ -0,0 +1,96 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import os
+import sys
+from typing import Any, Dict
+
+from transformers import AutoModel
+
+from swift.llm import TemplateType
+from swift.utils import get_device
+from ..constant import MLLMModelType
+from ..model_arch import ModelArch
+from ..register import Model, ModelGroup, ModelMeta, get_model_tokenizer_with_flash_attn, register_model
+from ..utils import ModelInfo, git_clone_github, safe_snapshot_download
+
+
+def get_model_tokenizer_emu3_gen(model_dir: str,
+                                 model_info: ModelInfo,
+                                 model_kwargs: Dict[str, Any],
+                                 load_model: bool = True,
+                                 **kwargs):
+    import sys
+    sys.path.append(model_dir)
+    from processing_emu3 import Emu3Processor
+    vq_hub = safe_snapshot_download('BAAI/Emu3-VisionTokenizer', check_local=True)
+    from transformers import AutoModel, AutoImageProcessor
+    image_processor = AutoImageProcessor.from_pretrained(vq_hub, trust_remote_code=True)
+    image_tokenizer = AutoModel.from_pretrained(vq_hub, trust_remote_code=True).eval().to(get_device())
+    model, tokenizer = get_model_tokenizer_with_flash_attn(model_dir, model_info, model_kwargs, load_model, **kwargs)
+    processor = Emu3Processor(image_processor, image_tokenizer, tokenizer)
+    model_info.max_model_len = model_info.max_model_len + 40960
+    if model:
+        model.config.image_area = int(os.environ.get('image_area', model.config.image_area))
+        model.config.max_position_embeddings = int(
+            os.environ.get('max_position_embeddings', model.config.max_position_embeddings))
+        processor.image_area = model.config.image_area
+        model.generation_config.do_sample = True
+    return model, processor
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.emu3_gen,
+        [
+            ModelGroup([
+                Model('BAAI/Emu3-Gen', 'BAAI/Emu3-Gen'),
+            ]),
+        ],
+        TemplateType.emu3_gen,
+        get_model_tokenizer_emu3_gen,
+        architectures=['Emu3ForCausalLM'],
+        model_arch=ModelArch.emu3_chat,
+        tags=['t2i'],
+    ))
+
+
+def get_model_tokenizer_emu3_chat(model_dir: str,
+                                  model_info: ModelInfo,
+                                  model_kwargs: Dict[str, Any],
+                                  load_model: bool = True,
+                                  **kwargs):
+    model, tokenizer = get_model_tokenizer_with_flash_attn(model_dir, model_info, model_kwargs, load_model, **kwargs)
+
+    # download and load vision tokenizer
+    from transformers import AutoImageProcessor
+    vq_model = safe_snapshot_download('BAAI/Emu3-VisionTokenizer', check_local=True)
+    image_processor = AutoImageProcessor.from_pretrained(vq_model, trust_remote_code=True)
+    image_tokenizer = AutoModel.from_pretrained(vq_model, device_map=model_kwargs['device_map'], trust_remote_code=True)
+    image_tokenizer.requires_grad_(False)
+    image_tokenizer.to(get_device())
+
+    # load processor
+    local_repo_path = kwargs.get('local_repo_path')
+    if not local_repo_path:
+        local_repo_path = git_clone_github('https://github.com/baaivision/Emu3.git')
+    sys.path.append(local_repo_path)
+    from emu3.mllm.processing_emu3 import Emu3Processor
+    processor = Emu3Processor(image_processor, image_tokenizer, tokenizer)
+
+    return model, processor
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.emu3_chat,
+        [
+            ModelGroup([
+                Model('BAAI/Emu3-Chat', 'BAAI/Emu3-Chat'),
+            ]),
+        ],
+        TemplateType.emu3_chat,
+        get_model_tokenizer_emu3_chat,
+        architectures=['Emu3ForCausalLM'],
+        model_arch=ModelArch.emu3_chat,
+        tags=['vision'],
+        requires=['transformers>=4.44.0'],
+    ))
diff --git a/ms-swift/swift/llm/model/model/codefuse.py b/ms-swift/swift/llm/model/model/codefuse.py
new file mode 100644
index 0000000000000000000000000000000000000000..02294a3b4ba3a391e4c6484d3c052227ada218cf
--- /dev/null
+++ b/ms-swift/swift/llm/model/model/codefuse.py
@@ -0,0 +1,67 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from typing import Any, Dict
+
+from transformers import AutoTokenizer
+
+from swift.llm import TemplateType
+from ..constant import LLMModelType
+from ..model_arch import ModelArch
+from ..register import Model, ModelGroup, ModelMeta, get_model_tokenizer_with_flash_attn, register_model
+from ..utils import ModelInfo
+from .glm import get_model_tokenizer_chatglm
+from .qwen import get_model_tokenizer_qwen
+
+register_model(
+    ModelMeta(
+        LLMModelType.codefuse_qwen, [
+            ModelGroup([
+                Model('codefuse-ai/CodeFuse-QWen-14B', 'codefuse-ai/CodeFuse-QWen-14B'),
+            ]),
+        ],
+        TemplateType.codefuse,
+        get_model_tokenizer_qwen,
+        architectures=['QWenLMHeadModel'],
+        model_arch=ModelArch.qwen,
+        tags=['coding']))
+
+register_model(
+    ModelMeta(
+        LLMModelType.codefuse_codegeex2,
+        [
+            ModelGroup([Model('codefuse-ai/CodeFuse-CodeGeeX2-6B', 'codefuse-ai/CodeFuse-CodeGeeX2-6B')], ),
+        ],
+        TemplateType.codefuse,
+        get_model_tokenizer_chatglm,
+        architectures=['ChatGLMModel', 'ChatGLMForConditionalGeneration'],
+        model_arch=ModelArch.chatglm,
+        tags=['coding'],
+        requires=['transformers<4.34'],
+    ))
+
+
+def get_model_tokenizer_codellama(model_dir: str,
+                                  model_info: ModelInfo,
+                                  model_kwargs: Dict[str, Any],
+                                  load_model: bool = True,
+                                  **kwargs):
+    tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True, use_fast=False, legacy=False)
+    return get_model_tokenizer_with_flash_attn(
+        model_dir, model_info, model_kwargs, load_model, tokenizer=tokenizer, **kwargs)
+
+
+register_model(
+    ModelMeta(
+        LLMModelType.codefuse_codellama,
+        [
+            ModelGroup(
+                [
+                    Model('codefuse-ai/CodeFuse-CodeLlama-34B', 'codefuse-ai/CodeFuse-CodeLlama-34B'),
+                ],
+                tags=['coding'],
+            ),
+        ],
+        TemplateType.codefuse_codellama,
+        get_model_tokenizer_codellama,
+        model_arch=ModelArch.llama,
+        architectures=['LlamaForCausalLM'],
+    ))
diff --git a/ms-swift/swift/llm/model/model/gemma.py b/ms-swift/swift/llm/model/model/gemma.py
new file mode 100644
index 0000000000000000000000000000000000000000..2c9291d07777b20bcec014e2d71722f42b7f1487
--- /dev/null
+++ b/ms-swift/swift/llm/model/model/gemma.py
@@ -0,0 +1,165 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from typing import Any, Dict
+
+from swift.llm import TemplateType
+from ..constant import LLMModelType, MLLMModelType
+from ..model_arch import ModelArch
+from ..register import (Model, ModelGroup, ModelMeta, get_model_tokenizer_multimodal,
+                        get_model_tokenizer_with_flash_attn, register_model)
+from ..utils import ModelInfo
+
+
+def get_model_tokenizer_paligemma_vision(model_dir: str,
+                                         model_info: ModelInfo,
+                                         model_kwargs: Dict[str, Any],
+                                         load_model: bool = True,
+                                         **kwargs):
+    from transformers import PaliGemmaForConditionalGeneration
+    kwargs['automodel_class'] = kwargs['automodel_class'] or PaliGemmaForConditionalGeneration
+    model, processor = get_model_tokenizer_multimodal(model_dir, model_info, model_kwargs, load_model, **kwargs)
+    return model, processor
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.paligemma,
+        [
+            ModelGroup([
+                Model('AI-ModelScope/paligemma-3b-pt-224', 'google/paligemma-3b-pt-224'),
+                Model('AI-ModelScope/paligemma-3b-pt-448', 'google/paligemma-3b-pt-448'),
+                Model('AI-ModelScope/paligemma-3b-pt-896', 'google/paligemma-3b-pt-896'),
+            ]),
+            ModelGroup([
+                Model('AI-ModelScope/paligemma-3b-mix-224', 'google/paligemma-3b-mix-224'),
+                Model('AI-ModelScope/paligemma-3b-mix-448', 'google/paligemma-3b-mix-448'),
+            ]),
+            ModelGroup([
+                Model('AI-ModelScope/paligemma2-3b-pt-224', 'google/paligemma2-3b-pt-224'),
+                Model('AI-ModelScope/paligemma2-3b-pt-448', 'google/paligemma2-3b-pt-448'),
+                Model('AI-ModelScope/paligemma2-3b-pt-896', 'google/paligemma2-3b-pt-896'),
+                Model('AI-ModelScope/paligemma2-10b-pt-224', 'google/paligemma2-10b-pt-224'),
+                Model('AI-ModelScope/paligemma2-10b-pt-448', 'google/paligemma2-10b-pt-448'),
+                Model('AI-ModelScope/paligemma2-10b-pt-896', 'google/paligemma2-10b-pt-896'),
+                Model('AI-ModelScope/paligemma2-28b-pt-224', 'google/paligemma2-28b-pt-224'),
+                Model('AI-ModelScope/paligemma2-28b-pt-448', 'google/paligemma2-28b-pt-448'),
+                Model('AI-ModelScope/paligemma2-28b-pt-896', 'google/paligemma2-28b-pt-896'),
+            ]),
+            ModelGroup([
+                Model('AI-ModelScope/paligemma2-3b-ft-docci-448', 'google/paligemma2-3b-ft-docci-448'),
+                Model('AI-ModelScope/paligemma2-10b-ft-docci-448', 'google/paligemma2-10b-ft-docci-448'),
+            ]),
+        ],
+        TemplateType.paligemma,
+        get_model_tokenizer_paligemma_vision,
+        architectures=['PaliGemmaForConditionalGeneration'],
+        model_arch=ModelArch.llava_hf,
+        requires=['transformers>=4.41'],
+        tags=['vision'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.gemma,
+        [
+            ModelGroup([
+                Model('AI-ModelScope/gemma-2b-it', 'google/gemma-2b-it'),
+                Model('AI-ModelScope/gemma-2b', 'google/gemma-2b'),
+                Model('AI-ModelScope/gemma-7b', 'google/gemma-7b'),
+                Model('AI-ModelScope/gemma-7b-it', 'google/gemma-7b-it'),
+            ], ),
+        ],
+        TemplateType.gemma,
+        get_model_tokenizer_with_flash_attn,
+        architectures=['GemmaForCausalLM'],
+        model_arch=ModelArch.llama,
+        requires=['transformers>=4.38'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.gemma2,
+        [
+            ModelGroup([
+                Model('LLM-Research/gemma-2-2b-it', 'google/gemma-2-2b-it'),
+                Model('LLM-Research/gemma-2-2b', 'google/gemma-2-2b'),
+                Model('LLM-Research/gemma-2-9b', 'google/gemma-2-9b'),
+                Model('LLM-Research/gemma-2-9b-it', 'google/gemma-2-9b-it'),
+                Model('LLM-Research/gemma-2-27b', 'google/gemma-2-27b'),
+                Model('LLM-Research/gemma-2-27b-it', 'google/gemma-2-27b-it'),
+            ], ),
+        ],
+        TemplateType.gemma,
+        get_model_tokenizer_with_flash_attn,
+        architectures=['Gemma2ForCausalLM'],
+        model_arch=ModelArch.llama,
+        requires=['transformers>=4.42'],
+    ))
+
+
+def get_model_tokenizer_gemma3_text(model_dir: str,
+                                    model_info: ModelInfo,
+                                    model_kwargs: Dict[str, Any],
+                                    load_model: bool = True,
+                                    **kwargs):
+    # It is strongly recommended to train Gemma3 models with the `eager` attention implementation instead of `sdpa`.
+    kwargs['attn_impl'] = kwargs['attn_impl'] or 'eager'
+    model, tokenizer = get_model_tokenizer_with_flash_attn(model_dir, model_info, model_kwargs, load_model, **kwargs)
+
+    return model, tokenizer
+
+
+register_model(
+    ModelMeta(
+        LLMModelType.gemma3_text,
+        [
+            ModelGroup([
+                Model('LLM-Research/gemma-3-1b-pt', 'google/gemma-3-1b-pt'),
+                Model('LLM-Research/gemma-3-1b-it', 'google/gemma-3-1b-it'),
+            ], ),
+        ],
+        TemplateType.gemma3_text,
+        get_model_tokenizer_gemma3_text,
+        architectures=['Gemma3ForCausalLM'],
+        model_arch=ModelArch.llama,
+        requires=['transformers>=4.49'],
+    ))
+
+
+def get_model_tokenizer_gemma3_vision(model_dir: str,
+                                      model_info: ModelInfo,
+                                      model_kwargs: Dict[str, Any],
+                                      load_model: bool = True,
+                                      **kwargs):
+    try:
+        from transformers import Gemma3ForConditionalGeneration
+    except ImportError:
+        raise ImportError('Please install Gemma3ForConditionalGeneration by running '
+                          '`pip install git+https://github.com/huggingface/transformers@v4.49.0-Gemma-3`')
+
+    kwargs['automodel_class'] = kwargs['automodel_class'] or Gemma3ForConditionalGeneration
+    # It is strongly recommended to train Gemma3 models with the `eager` attention implementation instead of `sdpa`.
+    kwargs['attn_impl'] = kwargs['attn_impl'] or 'eager'
+    model, processor = get_model_tokenizer_multimodal(model_dir, model_info, model_kwargs, load_model, **kwargs)
+
+    return model, processor
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.gemma3_vision,
+        [
+            ModelGroup([
+                Model('LLM-Research/gemma-3-4b-pt', 'google/gemma-3-4b-pt'),
+                Model('LLM-Research/gemma-3-4b-it', 'google/gemma-3-4b-it'),
+                Model('LLM-Research/gemma-3-12b-pt', 'google/gemma-3-12b-pt'),
+                Model('LLM-Research/gemma-3-12b-it', 'google/gemma-3-12b-it'),
+                Model('LLM-Research/gemma-3-27b-pt', 'google/gemma-3-27b-pt'),
+                Model('LLM-Research/gemma-3-27b-it', 'google/gemma-3-27b-it'),
+            ], ),
+        ],
+        TemplateType.gemma3_vision,
+        get_model_tokenizer_gemma3_vision,
+        architectures=['Gemma3ForConditionalGeneration'],
+        model_arch=ModelArch.gemma3_vision,
+        requires=['transformers>=4.49'],
+    ))
diff --git a/ms-swift/swift/llm/model/model/internlm.py b/ms-swift/swift/llm/model/model/internlm.py
new file mode 100644
index 0000000000000000000000000000000000000000..54c1edc5ce73eaa67e6df7b776633c9576ba7f17
--- /dev/null
+++ b/ms-swift/swift/llm/model/model/internlm.py
@@ -0,0 +1,420 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from functools import partial
+from typing import Any, Dict
+
+from transformers.dynamic_module_utils import get_class_from_dynamic_module
+
+from swift.llm import TemplateType
+from ..constant import LLMModelType, MLLMModelType, RMModelType
+from ..model_arch import ModelArch
+from ..patcher import patch_output_clone, patch_output_to_input_device
+from ..register import (Model, ModelGroup, ModelMeta, get_model_tokenizer_reward_model,
+                        get_model_tokenizer_with_flash_attn, register_model)
+from ..utils import ModelInfo, safe_snapshot_download, use_submodel_func
+
+register_model(
+    ModelMeta(
+        LLMModelType.internlm,
+        [
+            ModelGroup([
+                Model('Shanghai_AI_Laboratory/internlm-chat-7b', 'internlm/internlm-chat-7b'),
+                Model('Shanghai_AI_Laboratory/internlm-7b', 'internlm/internlm-7b'),
+                Model('Shanghai_AI_Laboratory/internlm-chat-7b-8k'),
+                Model('Shanghai_AI_Laboratory/internlm-20b', 'internlm/internlm-20b'),
+                Model('Shanghai_AI_Laboratory/internlm-chat-20b', 'internlm/internlm-chat-20b'),
+            ])
+        ],
+        TemplateType.internlm,
+        get_model_tokenizer_with_flash_attn,
+        architectures=['InternLMForCausalLM'],
+        model_arch=ModelArch.llama,
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.internlm2,
+        [
+            ModelGroup([
+                Model('Shanghai_AI_Laboratory/internlm2-chat-1_8b', 'internlm/internlm2-chat-1_8b'),
+                Model('Shanghai_AI_Laboratory/internlm2-1_8b', 'internlm/internlm2-1_8b'),
+                Model('Shanghai_AI_Laboratory/internlm2-chat-1_8b-sft', 'internlm/internlm2-chat-1_8b-sft'),
+                Model('Shanghai_AI_Laboratory/internlm2-base-7b', 'internlm/internlm2-base-7b'),
+                Model('Shanghai_AI_Laboratory/internlm2-7b', 'internlm/internlm2-7b'),
+                Model('Shanghai_AI_Laboratory/internlm2-chat-7b', 'internlm/internlm2-chat-7b'),
+                Model('Shanghai_AI_Laboratory/internlm2-chat-7b-sft', 'internlm/internlm2-chat-7b-sft'),
+                Model('Shanghai_AI_Laboratory/internlm2-base-20b', 'internlm/internlm2-base-20b'),
+                Model('Shanghai_AI_Laboratory/internlm2-20b', 'internlm/internlm2-20b'),
+                Model('Shanghai_AI_Laboratory/internlm2-chat-20b', 'internlm/internlm2-chat-20b'),
+                Model('Shanghai_AI_Laboratory/internlm2-chat-20b-sft', 'internlm/internlm2-chat-20b-sft'),
+            ]),
+            ModelGroup([
+                Model('Shanghai_AI_Laboratory/internlm2-math-7b', 'internlm/internlm2-math-7b'),
+                Model('Shanghai_AI_Laboratory/internlm2-math-base-7b', 'internlm/internlm2-math-base-7b'),
+                Model('Shanghai_AI_Laboratory/internlm2-math-base-20b', 'internlm/internlm2-math-base-20b'),
+                Model('Shanghai_AI_Laboratory/internlm2-math-20b', 'internlm/internlm2-math-20b'),
+            ],
+                       tags=['math']),
+            ModelGroup([
+                Model('Shanghai_AI_Laboratory/internlm2_5-1_8b-chat', 'internlm/internlm2_5-1_8b-chat'),
+                Model('Shanghai_AI_Laboratory/internlm2_5-1_8b', 'internlm/internlm2_5-1_8b'),
+                Model('Shanghai_AI_Laboratory/internlm2_5-7b', 'internlm/internlm2_5-7b'),
+                Model('Shanghai_AI_Laboratory/internlm2_5-7b-chat', 'internlm/internlm2_5-7b-chat'),
+                Model('Shanghai_AI_Laboratory/internlm2_5-7b-chat-1m', 'internlm/internlm2_5-7b-chat-1m'),
+                Model('Shanghai_AI_Laboratory/internlm2_5-20b', 'internlm/internlm2_5-20b'),
+                Model('Shanghai_AI_Laboratory/internlm2_5-20b-chat', 'internlm/internlm2_5-20b-chat'),
+            ])
+        ],
+        TemplateType.internlm2,
+        get_model_tokenizer_with_flash_attn,
+        requires=['transformers>=4.38'],
+        architectures=['InternLM2ForCausalLM'],
+        model_arch=ModelArch.internlm2,
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.internlm3,
+        [
+            ModelGroup([
+                Model('Shanghai_AI_Laboratory/internlm3-8b-instruct', 'internlm/internlm3-8b-instruct'),
+            ]),
+        ],
+        TemplateType.internlm2,
+        get_model_tokenizer_with_flash_attn,
+        requires=['transformers>=4.48'],
+        architectures=['InternLM3ForCausalLM'],
+        model_arch=ModelArch.llama,
+    ))
+
+
+def get_model_tokenizer_xcomposer2(model_dir: str,
+                                   model_info: ModelInfo,
+                                   model_kwargs: Dict[str, Any],
+                                   load_model: bool = True,
+                                   **kwargs):
+    version = kwargs.pop('version', 'v2')
+    use_flash_attn = kwargs.pop('use_flash_attn', False)
+    if version == 'v2-4khd':
+        from transformers import CLIPVisionModel
+
+        def load_model(self):
+            self.vision_tower_name = safe_snapshot_download(
+                'AI-ModelScope/clip-vit-large-patch14-336', check_local=True)
+            self.vision_tower = CLIPVisionModel.from_pretrained(self.vision_tower_name)
+            self.vision_tower.requires_grad_(False)
+            self.is_loaded = True
+
+        CLIPVisionTower = get_class_from_dynamic_module('build_mlp.CLIPVisionTower', model_dir)
+        CLIPVisionTower.load_model = load_model
+
+    model, tokenizer = get_model_tokenizer_with_flash_attn(model_dir, model_info, model_kwargs, load_model, **kwargs)
+    if model is not None:
+        model.vit.vision_tower.gradient_checkpointing_enable()
+        if version == 'v2' and use_flash_attn:
+            # fix AttributeError: no attribute 'attention_dropout'
+            model.model.layers[0].attention.__class__.attention_dropout = 0.
+
+        if version == 'v2.5':
+            patch_output_to_input_device(model.vit)
+            patch_output_to_input_device(model.vision_proj)
+
+    return model, tokenizer
+
+
+def get_model_tokenizer_internvl(model_dir: str,
+                                 model_info: ModelInfo,
+                                 model_kwargs: Dict[str, Any],
+                                 load_model: bool = True,
+                                 **kwargs):
+    model, tokenizer = get_model_tokenizer_with_flash_attn(model_dir, model_info, model_kwargs, load_model, **kwargs)
+
+    if model_info.quant_method == 'bnb' and kwargs.get('is_training'):
+        # patch: bnb backward shape mismatch bug
+        if model is not None and model.language_model is not None:
+            model.language_model.output.state.force_no_igemmlt = True
+
+    if model is not None:
+        use_submodel_func(model, 'language_model')
+        patch_output_clone(model.language_model.get_input_embeddings())
+
+    return model, tokenizer
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.internvl,
+        [
+            ModelGroup([
+                Model('OpenGVLab/Mini-InternVL-Chat-2B-V1-5', 'OpenGVLab/Mini-InternVL-Chat-2B-V1-5'),
+                Model('AI-ModelScope/InternVL-Chat-V1-5', 'OpenGVLab/InternVL-Chat-V1-5'),
+                Model('AI-ModelScope/InternVL-Chat-V1-5-int8', 'OpenGVLab/InternVL-Chat-V1-5-int8'),
+            ], ),
+        ],
+        TemplateType.internvl,
+        get_model_tokenizer_internvl,
+        architectures=['InternVLChatModel'],
+        model_arch=ModelArch.internvl,
+        requires=['transformers>=4.35', 'timm'],
+        tags=['vision'],
+    ))
+
+register_model(
+    ModelMeta(
+        MLLMModelType.internvl_phi3,
+        [
+            ModelGroup([
+                Model('OpenGVLab/Mini-InternVL-Chat-4B-V1-5', 'OpenGVLab/Mini-InternVL-Chat-4B-V1-5'),
+            ], ),
+        ],
+        TemplateType.internvl_phi3,
+        get_model_tokenizer_internvl,
+        architectures=['InternVLChatModel'],
+        model_arch=ModelArch.internvl,
+        requires=['transformers>=4.35,<4.42', 'timm'],
+        tags=['vision'],
+    ))
+
+register_model(
+    ModelMeta(
+        MLLMModelType.internvl2,
+        [
+            ModelGroup([
+                Model('OpenGVLab/InternVL2-1B', 'OpenGVLab/InternVL2-1B'),
+                Model('OpenGVLab/InternVL2-2B', 'OpenGVLab/InternVL2-2B'),
+                Model('OpenGVLab/InternVL2-8B', 'OpenGVLab/InternVL2-8B'),
+                Model('OpenGVLab/InternVL2-26B', 'OpenGVLab/InternVL2-26B'),
+                Model('OpenGVLab/InternVL2-40B', 'OpenGVLab/InternVL2-40B'),
+                Model('OpenGVLab/InternVL2-Llama3-76B', 'OpenGVLab/InternVL2-Llama3-76B'),
+            ]),
+            # (infer use lmdeploy)
+            ModelGroup([
+                Model('OpenGVLab/InternVL2-2B-AWQ', 'OpenGVLab/InternVL2-2B-AWQ'),
+                Model('OpenGVLab/InternVL2-8B-AWQ', 'OpenGVLab/InternVL2-8B-AWQ'),
+                Model('OpenGVLab/InternVL2-26B-AWQ', 'OpenGVLab/InternVL2-26B-AWQ'),
+                Model('OpenGVLab/InternVL2-40B-AWQ', 'OpenGVLab/InternVL2-40B-AWQ'),
+                Model('OpenGVLab/InternVL2-Llama3-76B-AWQ', 'OpenGVLab/InternVL2-Llama3-76B-AWQ'),
+            ]),
+            ModelGroup([Model('OpenGVLab/InternVL2-8B-MPO', 'OpenGVLab/InternVL2-8B-MPO')]),
+            # pretrain
+            ModelGroup([
+                Model('OpenGVLab/InternVL2-Pretrain-Models:InternVL2-1B-Pretrain',
+                      'OpenGVLab/InternVL2-Pretrain-Models:InternVL2-1B-Pretrain'),
+                Model('OpenGVLab/InternVL2-Pretrain-Models:InternVL2-2B-Pretrain',
+                      'OpenGVLab/InternVL2-Pretrain-Models:InternVL2-2B-Pretrain'),
+                Model('OpenGVLab/InternVL2-Pretrain-Models:InternVL2-4B-Pretrain',
+                      'OpenGVLab/InternVL2-Pretrain-Models:InternVL2-4B-Pretrain'),
+                Model('OpenGVLab/InternVL2-Pretrain-Models:InternVL2-8B-Pretrain',
+                      'OpenGVLab/InternVL2-Pretrain-Models:InternVL2-8B-Pretrain'),
+                Model('OpenGVLab/InternVL2-Pretrain-Models:InternVL2-26B-Pretrain',
+                      'OpenGVLab/InternVL2-Pretrain-Models:InternVL2-26B-Pretrain'),
+                Model('OpenGVLab/InternVL2-Pretrain-Models:InternVL2-40B-Pretrain',
+                      'OpenGVLab/InternVL2-Pretrain-Models:InternVL2-40B-Pretrain'),
+                Model('OpenGVLab/InternVL2-Pretrain-Models:InternVL2-Llama3-76B-Pretrain',
+                      'OpenGVLab/InternVL2-Pretrain-Models:InternVL2-Llama3-76B-Pretrain'),
+            ])
+        ],
+        TemplateType.internvl2,
+        get_model_tokenizer_internvl,
+        architectures=['InternVLChatModel'],
+        model_arch=ModelArch.internvl,
+        requires=['transformers>=4.36', 'timm'],
+        tags=['vision', 'video'],
+    ))
+
+register_model(
+    ModelMeta(
+        MLLMModelType.internvl2_phi3,
+        [
+            ModelGroup([
+                Model('OpenGVLab/InternVL2-4B', 'OpenGVLab/InternVL2-4B'),
+            ], ),
+        ],
+        TemplateType.internvl2_phi3,
+        get_model_tokenizer_internvl,
+        architectures=['InternVLChatModel'],
+        model_arch=ModelArch.internvl,
+        requires=['transformers>=4.36,<4.42', 'timm'],
+        tags=['vision', 'video'],
+    ))
+
+register_model(
+    ModelMeta(
+        MLLMModelType.internvl2_5,
+        [
+            ModelGroup([
+                Model('OpenGVLab/InternVL2_5-1B', 'OpenGVLab/InternVL2_5-1B'),
+                Model('OpenGVLab/InternVL2_5-2B', 'OpenGVLab/InternVL2_5-2B'),
+                Model('OpenGVLab/InternVL2_5-4B', 'OpenGVLab/InternVL2_5-4B'),
+                Model('OpenGVLab/InternVL2_5-8B', 'OpenGVLab/InternVL2_5-8B'),
+                Model('OpenGVLab/InternVL2_5-26B', 'OpenGVLab/InternVL2_5-26B'),
+                Model('OpenGVLab/InternVL2_5-38B', 'OpenGVLab/InternVL2_5-38B'),
+                Model('OpenGVLab/InternVL2_5-78B', 'OpenGVLab/InternVL2_5-78B'),
+            ]),
+            # quant (infer use lmdeploy)
+            ModelGroup([
+                Model('OpenGVLab/InternVL2_5-4B-AWQ', 'OpenGVLab/InternVL2_5-4B-AWQ'),
+                Model('OpenGVLab/InternVL2_5-8B-AWQ', 'OpenGVLab/InternVL2_5-8B-AWQ'),
+                Model('OpenGVLab/InternVL2_5-26B-AWQ', 'OpenGVLab/InternVL2_5-26B-AWQ'),
+                Model('OpenGVLab/InternVL2_5-38B-AWQ', 'OpenGVLab/InternVL2_5-38B-AWQ'),
+                Model('OpenGVLab/InternVL2_5-78B-AWQ', 'OpenGVLab/InternVL2_5-78B-AWQ'),
+            ]),
+            ModelGroup([
+                Model('OpenGVLab/InternVL2_5-1B-MPO', 'OpenGVLab/InternVL2_5-1B-MPO'),
+                Model('OpenGVLab/InternVL2_5-2B-MPO', 'OpenGVLab/InternVL2_5-2B-MPO'),
+                Model('OpenGVLab/InternVL2_5-4B-MPO', 'OpenGVLab/InternVL2_5-4B-MPO'),
+                Model('OpenGVLab/InternVL2_5-8B-MPO', 'OpenGVLab/InternVL2_5-8B-MPO'),
+                Model('OpenGVLab/InternVL2_5-26B-MPO', 'OpenGVLab/InternVL2_5-26B-MPO'),
+                Model('OpenGVLab/InternVL2_5-38B-MPO', 'OpenGVLab/InternVL2_5-38B-MPO'),
+                Model('OpenGVLab/InternVL2_5-78B-MPO', 'OpenGVLab/InternVL2_5-78B-MPO'),
+            ])
+        ],
+        TemplateType.internvl2_5,
+        get_model_tokenizer_internvl,
+        architectures=['InternVLChatModel'],
+        model_arch=ModelArch.internvl,
+        requires=['transformers>=4.36', 'timm'],
+        tags=['vision', 'video'],
+    ))
+
+register_model(
+    ModelMeta(
+        MLLMModelType.internvl3,
+        [
+            # pretrain
+            ModelGroup([
+                Model('OpenGVLab/InternVL3-1B-Pretrained', 'OpenGVLab/InternVL3-1B-Pretrained'),
+                Model('OpenGVLab/InternVL3-2B-Pretrained', 'OpenGVLab/InternVL3-2B-Pretrained'),
+                Model('OpenGVLab/InternVL3-8B-Pretrained', 'OpenGVLab/InternVL3-8B-Pretrained'),
+                Model('OpenGVLab/InternVL3-9B-Pretrained', 'OpenGVLab/InternVL3-9B-Pretrained'),
+                Model('OpenGVLab/InternVL3-14B-Pretrained', 'OpenGVLab/InternVL3-14B-Pretrained'),
+                Model('OpenGVLab/InternVL3-38B-Pretrained', 'OpenGVLab/InternVL3-38B-Pretrained'),
+                Model('OpenGVLab/InternVL3-78B-Pretrained', 'OpenGVLab/InternVL3-78B-Pretrained'),
+            ]),
+            # instruct
+            ModelGroup([
+                Model('OpenGVLab/InternVL3-1B-Instruct', 'OpenGVLab/InternVL3-1B-Instruct'),
+                Model('OpenGVLab/InternVL3-2B-Instruct', 'OpenGVLab/InternVL3-2B-Instruct'),
+                Model('OpenGVLab/InternVL3-8B-Instruct', 'OpenGVLab/InternVL3-8B-Instruct'),
+                Model('OpenGVLab/InternVL3-9B-Instruct', 'OpenGVLab/InternVL3-9B-Instruct'),
+                Model('OpenGVLab/InternVL3-14B-Instruct', 'OpenGVLab/InternVL3-14B-Instruct'),
+                Model('OpenGVLab/InternVL3-38B-Instruct', 'OpenGVLab/InternVL3-38B-Instruct'),
+                Model('OpenGVLab/InternVL3-78B-Instruct', 'OpenGVLab/InternVL3-78B-Instruct'),
+            ]),
+            # mpo
+            ModelGroup([
+                Model('OpenGVLab/InternVL3-1B', 'OpenGVLab/InternVL3-1B'),
+                Model('OpenGVLab/InternVL3-2B', 'OpenGVLab/InternVL3-2B'),
+                Model('OpenGVLab/InternVL3-8B', 'OpenGVLab/InternVL3-8B'),
+                Model('OpenGVLab/InternVL3-9B', 'OpenGVLab/InternVL3-9B'),
+                Model('OpenGVLab/InternVL3-14B', 'OpenGVLab/InternVL3-14B'),
+                Model('OpenGVLab/InternVL3-38B', 'OpenGVLab/InternVL3-38B'),
+                Model('OpenGVLab/InternVL3-78B', 'OpenGVLab/InternVL3-78B'),
+            ]),
+            # awq (Use lmdeploy for inference.)
+            ModelGroup([
+                Model('OpenGVLab/InternVL3-1B-AWQ', 'OpenGVLab/InternVL3-1B-AWQ'),
+                Model('OpenGVLab/InternVL3-2B-AWQ', 'OpenGVLab/InternVL3-2B-AWQ'),
+                Model('OpenGVLab/InternVL3-8B-AWQ', 'OpenGVLab/InternVL3-8B-AWQ'),
+                Model('OpenGVLab/InternVL3-9B-AWQ', 'OpenGVLab/InternVL3-9B-AWQ'),
+                Model('OpenGVLab/InternVL3-14B-AWQ', 'OpenGVLab/InternVL3-14B-AWQ'),
+                Model('OpenGVLab/InternVL3-38B-AWQ', 'OpenGVLab/InternVL3-38B-AWQ'),
+                Model('OpenGVLab/InternVL3-78B-AWQ', 'OpenGVLab/InternVL3-78B-AWQ'),
+            ]),
+        ],
+        TemplateType.internvl2_5,
+        get_model_tokenizer_internvl,
+        architectures=['InternVLChatModel'],
+        model_arch=ModelArch.internvl,
+        requires=['transformers>=4.37.2', 'timm'],
+        tags=['vision', 'video'],
+    ))
+
+register_model(
+    ModelMeta(
+        MLLMModelType.xcomposer2_5,
+        [
+            ModelGroup([
+                Model('Shanghai_AI_Laboratory/internlm-xcomposer2d5-7b', 'internlm/internlm-xcomposer2d5-7b'),
+                Model('Shanghai_AI_Laboratory/internlm-xcomposer2d5-ol-7b:base',
+                      'internlm/internlm-xcomposer2d5-ol-7b:base')
+            ]),
+        ],
+        TemplateType.xcomposer2_5,
+        partial(get_model_tokenizer_xcomposer2, version='v2.5'),
+        architectures=['InternLMXComposer2ForCausalLM'],
+        model_arch=ModelArch.xcomposer,
+        tags=['vision'],
+        requires=['decord'],
+        # target_modules: attention.wqkv attention.wo feed_forward.w1 feed_forward.w2 feed_forward.w3
+    ))
+
+register_model(
+    ModelMeta(
+        MLLMModelType.xcomposer2,
+        [
+            ModelGroup([
+                Model('Shanghai_AI_Laboratory/internlm-xcomposer2-7b', 'internlm/internlm-xcomposer2-7b'),
+            ], ),
+        ],
+        TemplateType.xcomposer2,
+        get_model_tokenizer_xcomposer2,
+        architectures=['InternLMXComposer2ForCausalLM'],
+        model_arch=ModelArch.xcomposer,
+        tags=['vision'],
+    ))
+
+register_model(
+    ModelMeta(
+        MLLMModelType.xcomposer2_4khd,
+        [
+            ModelGroup([
+                Model('Shanghai_AI_Laboratory/internlm-xcomposer2-4khd-7b', 'internlm/internlm-xcomposer2-4khd-7b'),
+            ], ),
+        ],
+        TemplateType.xcomposer2,
+        partial(get_model_tokenizer_xcomposer2, version='v2-4khd'),
+        architectures=['InternLM2ForCausalLM', 'InternLMXComposer2ForCausalLM'],
+        model_arch=ModelArch.xcomposer,
+        tags=['vision'],
+    ))
+
+
+def get_model_tokenizer_xcomposer_ol(model_dir, *args, **kwargs):
+    model_tag = model_dir.rsplit('/', 1)[-1]
+    if model_tag == 'audio':
+        from .qwen import get_model_tokenizer_qwen2_audio
+        return get_model_tokenizer_qwen2_audio(model_dir, *args, **kwargs)
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.xcomposer2_5_ol_audio,
+        [
+            ModelGroup([
+                Model('Shanghai_AI_Laboratory/internlm-xcomposer2d5-ol-7b:audio',
+                      'internlm/internlm-xcomposer2d5-ol-7b:audio'),
+            ]),
+        ],
+        TemplateType.qwen2_audio,
+        get_model_tokenizer_xcomposer_ol,
+        requires=['transformers>=4.45'],
+        architectures=['Qwen2AudioForConditionalGeneration'],
+        model_arch=ModelArch.qwen2_audio,
+        tags=['audio'],
+    ))
+
+register_model(
+    ModelMeta(
+        RMModelType.internlm2_reward,
+        [
+            ModelGroup([
+                Model('Shanghai_AI_Laboratory/internlm2-1_8b-reward', 'internlm/internlm2-1_8b-reward'),
+                Model('Shanghai_AI_Laboratory/internlm2-7b-reward', 'internlm/internlm2-7b-reward'),
+                Model('Shanghai_AI_Laboratory/internlm2-20b-reward', 'internlm/internlm2-20b-reward'),
+            ]),
+        ],
+        TemplateType.internlm2_reward,
+        get_model_tokenizer_reward_model,
+        requires=['transformers>=4.38'],
+        architectures=['InternLM2ForRewardModel'],
+    ))
diff --git a/ms-swift/swift/llm/model/model/llama.py b/ms-swift/swift/llm/model/model/llama.py
new file mode 100644
index 0000000000000000000000000000000000000000..a30c2122c379ee435e0896824987cc568455cbb6
--- /dev/null
+++ b/ms-swift/swift/llm/model/model/llama.py
@@ -0,0 +1,372 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import os
+import sys
+from typing import Any, Dict
+
+from transformers import AutoConfig
+
+from swift.llm import TemplateType
+from swift.utils import get_device
+from ..constant import LLMModelType, MLLMModelType
+from ..model_arch import ModelArch
+from ..register import (Model, ModelGroup, ModelMeta, get_model_tokenizer_multimodal,
+                        get_model_tokenizer_with_flash_attn, register_model)
+from ..utils import ModelInfo, git_clone_github
+
+
+def get_model_tokenizer_llama(model_dir: str,
+                              model_info: ModelInfo,
+                              model_kwargs: Dict[str, Any],
+                              load_model: bool = True,
+                              **kwargs):
+    model_config = AutoConfig.from_pretrained(model_dir, trust_remote_code=True)
+    model_config.pretraining_tp = 1
+    kwargs['model_config'] = model_config
+    return get_model_tokenizer_with_flash_attn(model_dir, model_info, model_kwargs, load_model, **kwargs)
+
+
+register_model(
+    ModelMeta(
+        LLMModelType.llama,
+        [
+            # llama2
+            ModelGroup(
+                [
+                    # base
+                    Model('modelscope/Llama-2-7b-ms', 'meta-llama/Llama-2-7b-hf'),
+                    Model('modelscope/Llama-2-13b-ms', 'meta-llama/Llama-2-13b-hf'),
+                    Model('modelscope/Llama-2-70b-ms', 'meta-llama/Llama-2-70b-hf'),
+                    # chat
+                    Model('modelscope/Llama-2-7b-chat-ms', 'meta-llama/Llama-2-7b-chat-hf'),
+                    Model('modelscope/Llama-2-13b-chat-ms', 'meta-llama/Llama-2-13b-chat-hf'),
+                    Model('modelscope/Llama-2-70b-chat-ms', 'meta-llama/Llama-2-70b-chat-hf'),
+                ],
+                ignore_patterns=[r'.+\.bin$']),
+            # chinese-llama2
+            ModelGroup([
+                # base
+                Model('AI-ModelScope/chinese-llama-2-1.3b', 'hfl/chinese-llama-2-1.3b'),
+                Model('AI-ModelScope/chinese-llama-2-7b', 'hfl/chinese-llama-2-7b'),
+                Model('AI-ModelScope/chinese-llama-2-7b-16k', 'hfl/chinese-llama-2-7b-16k'),
+                Model('AI-ModelScope/chinese-llama-2-7b-64k', 'hfl/chinese-llama-2-7b-64k'),
+                Model('AI-ModelScope/chinese-llama-2-13b', 'hfl/chinese-llama-2-13b'),
+                Model('AI-ModelScope/chinese-llama-2-13b-16k', 'hfl/chinese-llama-2-13b-16k'),
+                # chat
+                Model('AI-ModelScope/chinese-alpaca-2-1.3b', 'hfl/chinese-alpaca-2-1.3b'),
+                Model('AI-ModelScope/chinese-alpaca-2-7b', 'hfl/chinese-alpaca-2-7b'),
+                Model('AI-ModelScope/chinese-alpaca-2-7b-16k', 'hfl/chinese-alpaca-2-7b-16k'),
+                Model('AI-ModelScope/chinese-alpaca-2-7b-64k', 'hfl/chinese-alpaca-2-7b-64k'),
+                Model('AI-ModelScope/chinese-alpaca-2-13b', 'hfl/chinese-alpaca-2-13b'),
+                Model('AI-ModelScope/chinese-alpaca-2-13b-16k', 'hfl/chinese-alpaca-2-13b-16k'),
+            ]),
+            # base quant
+            ModelGroup([
+                Model('AI-ModelScope/Llama-2-7b-AQLM-2Bit-1x16-hf', 'ISTA-DASLab/Llama-2-7b-AQLM-2Bit-1x16-hf'),
+            ],
+                       requires=['transformers>=4.38', 'aqlm', 'torch>=2.2.0']),
+        ],
+        TemplateType.llama,
+        get_model_tokenizer_llama,
+        architectures=['LlamaForCausalLM'],
+        model_arch=ModelArch.llama,
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.llama3,
+        [
+            # llama3
+            ModelGroup([
+                # chat
+                Model('LLM-Research/Meta-Llama-3-8B-Instruct', 'meta-llama/Meta-Llama-3-8B-Instruct'),
+                Model('LLM-Research/Meta-Llama-3-70B-Instruct', 'meta-llama/Meta-Llama-3-70B-Instruct'),
+                # base
+                Model('LLM-Research/Meta-Llama-3-8B', 'meta-llama/Meta-Llama-3-8B'),
+                Model('LLM-Research/Meta-Llama-3-70B', 'meta-llama/Meta-Llama-3-70B'),
+            ]),
+            # llama3-quant
+            ModelGroup([
+                Model('swift/Meta-Llama-3-8B-Instruct-GPTQ-Int4', 'study-hjt/Meta-Llama-3-8B-Instruct-GPTQ-Int4'),
+                Model('swift/Meta-Llama-3-8B-Instruct-GPTQ-Int8', 'study-hjt/Meta-Llama-3-8B-Instruct-GPTQ-Int8'),
+                Model('swift/Meta-Llama-3-8B-Instruct-AWQ', 'study-hjt/Meta-Llama-3-8B-Instruct-AWQ'),
+                Model('swift/Meta-Llama-3-70B-Instruct-GPTQ-Int4', 'study-hjt/Meta-Llama-3-70B-Instruct-GPTQ-Int4'),
+                Model('swift/Meta-Llama-3-70B-Instruct-GPTQ-Int8', 'study-hjt/Meta-Llama-3-70B-Instruct-GPTQ-Int8'),
+                Model('swift/Meta-Llama-3-70B-Instruct-AWQ', 'study-hjt/Meta-Llama-3-70B-Instruct-AWQ'),
+            ]),
+            # chinese-llama3
+            ModelGroup([
+                Model('ChineseAlpacaGroup/llama-3-chinese-8b-instruct', 'hfl/llama-3-chinese-8b-instruct'),
+                Model('ChineseAlpacaGroup/llama-3-chinese-8b', 'hfl/llama-3-chinese-8b'),
+            ]),
+        ],
+        TemplateType.llama3,
+        get_model_tokenizer_with_flash_attn,
+        architectures=['LlamaForCausalLM'],
+        model_arch=ModelArch.llama,
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.llama3_1,
+        [
+            # llama3.1
+            ModelGroup([
+                # chat
+                Model('LLM-Research/Meta-Llama-3.1-8B-Instruct', 'meta-llama/Meta-Llama-3.1-8B-Instruct'),
+                Model('LLM-Research/Meta-Llama-3.1-70B-Instruct', 'meta-llama/Meta-Llama-3.1-70B-Instruct'),
+                Model('LLM-Research/Meta-Llama-3.1-405B-Instruct', 'meta-llama/Meta-Llama-3.1-405B-Instruct'),
+                # base
+                Model('LLM-Research/Meta-Llama-3.1-8B', 'meta-llama/Meta-Llama-3.1-8B'),
+                Model('LLM-Research/Meta-Llama-3.1-70B', 'meta-llama/Meta-Llama-3.1-70B'),
+                Model('LLM-Research/Meta-Llama-3.1-405B', 'meta-llama/Meta-Llama-3.1-405B'),
+                # fp8
+                Model('LLM-Research/Meta-Llama-3.1-70B-Instruct-FP8', 'meta-llama/Meta-Llama-3.1-70B-Instruct-FP8'),
+                Model('LLM-Research/Meta-Llama-3.1-405B-Instruct-FP8', 'meta-llama/Meta-Llama-3.1-405B-Instruct-FP8'),
+            ]),
+            # llama3.1-quant
+            ModelGroup([
+                # bnb-nf4
+                Model('LLM-Research/Meta-Llama-3.1-8B-Instruct-BNB-NF4',
+                      'hugging-quants/Meta-Llama-3.1-8B-Instruct-BNB-NF4'),
+                Model('LLM-Research/Meta-Llama-3.1-70B-Instruct-bnb-4bit',
+                      'unsloth/Meta-Llama-3.1-70B-Instruct-bnb-4bit'),
+                Model('LLM-Research/Meta-Llama-3.1-405B-Instruct-BNB-NF4',
+                      'hugging-quants/Meta-Llama-3.1-405B-Instruct-BNB-NF4'),
+                # gptq-int4
+                Model('LLM-Research/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4',
+                      'hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4'),
+                Model('LLM-Research/Meta-Llama-3.1-70B-Instruct-GPTQ-INT4',
+                      'hugging-quants/Meta-Llama-3.1-70B-Instruct-GPTQ-INT4'),
+                Model('LLM-Research/Meta-Llama-3.1-405B-Instruct-GPTQ-INT4',
+                      'hugging-quants/Meta-Llama-3.1-405B-Instruct-GPTQ-INT4'),
+                # awq-int4
+                Model('LLM-Research/Meta-Llama-3.1-8B-Instruct-AWQ-INT4',
+                      'hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4'),
+                Model('LLM-Research/Meta-Llama-3.1-70B-Instruct-AWQ-INT4',
+                      'hugging-quants/Meta-Llama-3.1-70B-Instruct-AWQ-INT4'),
+                Model('LLM-Research/Meta-Llama-3.1-405B-Instruct-AWQ-INT4',
+                      'hugging-quants/Meta-Llama-3.1-405B-Instruct-AWQ-INT4'),
+            ]),
+            # nvidia Nemotron
+            ModelGroup([
+                Model('AI-ModelScope/Llama-3.1-Nemotron-70B-Instruct-HF', 'nvidia/Llama-3.1-Nemotron-70B-Instruct-HF'),
+            ])
+        ],
+        TemplateType.llama3_2,
+        get_model_tokenizer_with_flash_attn,
+        architectures=['LlamaForCausalLM'],
+        requires=['transformers>=4.43'],
+        model_arch=ModelArch.llama,
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.llama3_2,
+        [
+            ModelGroup([
+                Model('LLM-Research/Llama-3.2-1B', 'meta-llama/Llama-3.2-1B'),
+                Model('LLM-Research/Llama-3.2-3B', 'meta-llama/Llama-3.2-3B'),
+                Model('LLM-Research/Llama-3.2-1B-Instruct', 'meta-llama/Llama-3.2-1B-Instruct'),
+                Model('LLM-Research/Llama-3.2-3B-Instruct', 'meta-llama/Llama-3.2-3B-Instruct'),
+            ]),
+            ModelGroup([
+                Model('LLM-Research/Llama-3.3-70B-Instruct', 'meta-llama/Llama-3.3-70B-Instruct'),
+                Model('unsloth/Llama-3.3-70B-Instruct-bnb-4bit', 'unsloth/Llama-3.3-70B-Instruct-bnb-4bit'),
+            ])
+        ],
+        TemplateType.llama3_2,
+        get_model_tokenizer_with_flash_attn,
+        architectures=['LlamaForCausalLM'],
+        requires=['transformers>=4.43'],
+        model_arch=ModelArch.llama,
+    ))
+
+
+def get_model_tokenizer_llama3_2_vision(*args, **kwargs):
+    from transformers import MllamaForConditionalGeneration
+    kwargs['automodel_class'] = kwargs['automodel_class'] or MllamaForConditionalGeneration
+    return get_model_tokenizer_multimodal(*args, **kwargs)
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.llama3_2_vision,
+        [
+            ModelGroup([
+                Model('LLM-Research/Llama-3.2-11B-Vision-Instruct', 'meta-llama/Llama-3.2-11B-Vision-Instruct'),
+                Model('LLM-Research/Llama-3.2-90B-Vision-Instruct', 'meta-llama/Llama-3.2-90B-Vision-Instruct'),
+                Model('LLM-Research/Llama-3.2-11B-Vision', 'meta-llama/Llama-3.2-11B-Vision'),
+                Model('LLM-Research/Llama-3.2-90B-Vision', 'meta-llama/Llama-3.2-90B-Vision'),
+            ])
+        ],
+        TemplateType.llama3_2_vision,
+        get_model_tokenizer_llama3_2_vision,
+        requires=['transformers>=4.45'],
+        architectures=['MllamaForConditionalGeneration'],
+        model_arch=ModelArch.llama3_2_vision,
+        tags=['vision'],
+    ))
+
+
+def get_model_tokenizer_llama4(*args, **kwargs):
+    from transformers import Llama4ForConditionalGeneration
+    kwargs['automodel_class'] = kwargs['automodel_class'] or Llama4ForConditionalGeneration
+    return get_model_tokenizer_multimodal(*args, **kwargs)
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.llama4,
+        [
+            ModelGroup([
+                Model('LLM-Research/Llama-4-Scout-17B-16E', 'meta-llama/Llama-4-Scout-17B-16E'),
+                Model('LLM-Research/Llama-4-Maverick-17B-128E', 'meta-llama/Llama-4-Maverick-17B-128E'),
+                Model('LLM-Research/Llama-4-Scout-17B-16E-Instruct', 'meta-llama/Llama-4-Scout-17B-16E-Instruct'),
+                Model('LLM-Research/Llama-4-Maverick-17B-128E-Instruct-FP8',
+                      'meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8'),
+                Model('LLM-Research/Llama-4-Maverick-17B-128E-Instruct',
+                      'meta-llama/Llama-4-Maverick-17B-128E-Instruct'),
+            ])
+        ],
+        TemplateType.llama4,
+        get_model_tokenizer_llama4,
+        requires=['transformers>=4.51'],
+        architectures=['Llama4ForConditionalGeneration'],
+        model_arch=ModelArch.llama3_2_vision,
+        tags=['vision'],
+    ))
+
+
+def get_model_tokenizer_omnli(model_dir: str,
+                              model_info: ModelInfo,
+                              model_kwargs: Dict[str, Any],
+                              load_model: bool = True,
+                              **kwargs):
+    local_repo_path = kwargs.get('local_repo_path')
+    if not local_repo_path:
+        local_repo_path = git_clone_github('https://github.com/ictnlp/LLaMA-Omni')
+    sys.path.append(local_repo_path)
+    from omni_speech.model import OmniSpeech2SLlamaForCausalLM, OmniSpeechLlamaForCausalLM
+    import whisper
+    model_config = AutoConfig.from_pretrained(model_dir, trust_remote_code=True)
+    model_config.speech_encoder = os.path.join(model_dir, 'large-v3.pt')
+    if not os.path.exists(model_config.speech_encoder):
+        whisper.load_model('large-v3', download_root=model_dir)
+    kwargs['automodel_class'] = OmniSpeech2SLlamaForCausalLM
+    kwargs['model_config'] = model_config
+    for key in ['forward', 'generate']:
+        try:
+            delattr(OmniSpeech2SLlamaForCausalLM, key)
+            delattr(OmniSpeechLlamaForCausalLM, key)
+        except AttributeError:
+            pass
+    # not support device_map='auto'
+    device_map = model_kwargs['device_map']
+    model_kwargs['device_map'] = None
+    model, tokenizer = get_model_tokenizer_with_flash_attn(model_dir, model_info, model_kwargs, load_model, **kwargs)
+    if model:
+        model.to(get_device() if device_map == 'auto' else device_map)
+    return model, tokenizer
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.llama3_1_omni,
+        [ModelGroup([
+            Model('ICTNLP/Llama-3.1-8B-Omni', 'ICTNLP/Llama-3.1-8B-Omni'),
+        ], )],
+        TemplateType.llama3_1_omni,
+        get_model_tokenizer_omnli,
+        architectures=['OmniSpeech2SLlamaForCausalLM'],
+        model_arch=ModelArch.llama3_1_omni,
+        requires=['openai-whisper'],
+        tags=['audio'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.reflection,
+        [
+            ModelGroup([
+                Model('LLM-Research/Reflection-Llama-3.1-70B', 'mattshumer/Reflection-Llama-3.1-70B'),
+            ]),
+        ],
+        TemplateType.reflection,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=ModelArch.llama,
+        architectures=['LlamaForCausalLM'],
+        requires=['transformers>=4.43'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.atom,
+        [
+            ModelGroup([
+                Model('FlagAlpha/Atom-7B', 'FlagAlpha/Atom-7B'),
+                Model('FlagAlpha/Atom-7B-Chat', 'FlagAlpha/Atom-7B-Chat'),
+            ]),
+        ],
+        TemplateType.atom,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=ModelArch.llama,
+        architectures=['LlamaForCausalLM'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.mengzi3,
+        [
+            ModelGroup([
+                Model('langboat/Mengzi3-13B-Base', 'Langboat/Mengzi3-13B-Base'),
+            ]),
+        ],
+        TemplateType.mengzi,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=ModelArch.llama,
+        architectures=['LlamaForCausalLM'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.numina,
+        [
+            ModelGroup([
+                Model('AI-ModelScope/NuminaMath-7B-TIR', 'AI-MO/NuminaMath-7B-TIR'),
+            ]),
+        ],
+        TemplateType.numina,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=ModelArch.llama,
+        architectures=['LlamaForCausalLM'],
+        tags=['math'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.ziya,
+        [
+            ModelGroup([
+                Model('Fengshenbang/Ziya2-13B-Base', 'IDEA-CCNL/Ziya2-13B-Base'),
+                Model('Fengshenbang/Ziya2-13B-Chat', 'IDEA-CCNL/Ziya2-13B-Chat'),
+            ]),
+        ],
+        TemplateType.ziya,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=ModelArch.llama,
+        architectures=['LlamaForCausalLM'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.megrez,
+        [
+            ModelGroup([
+                Model('InfiniAI/Megrez-3b-Instruct', 'Infinigence/Megrez-3B-Instruct'),
+            ]),
+        ],
+        TemplateType.megrez,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=ModelArch.llama,
+        architectures=['LlamaForCausalLM'],
+    ))
diff --git a/ms-swift/swift/llm/model/model/llm.py b/ms-swift/swift/llm/model/model/llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..1330d44755066f1c6dd1db0fcfcd643cc7692888
--- /dev/null
+++ b/ms-swift/swift/llm/model/model/llm.py
@@ -0,0 +1,319 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from types import MethodType
+from typing import Any, Dict
+
+from transformers import AutoConfig, AutoTokenizer
+
+from swift.llm import TemplateType
+from swift.utils import get_logger
+from ..constant import LLMModelType
+from ..model_arch import ModelArch
+from ..register import Model, ModelGroup, ModelMeta, get_model_tokenizer_with_flash_attn, register_model
+from ..utils import AttnImpl, HfConfigFactory, ModelInfo, safe_snapshot_download
+
+logger = get_logger()
+
+
+def get_model_tokenizer_grok(*args, **kwargs):
+    tokenizer_dir = safe_snapshot_download('AI-ModelScope/grok-1-tokenizer', download_model=False, check_local=True)
+    tokenizer = AutoTokenizer.from_pretrained(tokenizer_dir, trust_remote_code=True)
+    kwargs['tokenizer'] = tokenizer
+    model, _ = get_model_tokenizer_with_flash_attn(*args, **kwargs)
+    return model, tokenizer
+
+
+register_model(
+    ModelMeta(
+        LLMModelType.grok, [
+            ModelGroup([
+                Model('colossalai/grok-1-pytorch', 'hpcai-tech/grok-1'),
+            ]),
+        ],
+        TemplateType.default,
+        get_model_tokenizer_grok,
+        architectures=['Grok1ModelForCausalLM'],
+        model_arch=ModelArch.llama
+        # TODO
+    ))
+
+
+def get_model_tokenizer_polylm(model_dir: str,
+                               model_info: ModelInfo,
+                               model_kwargs: Dict[str, Any],
+                               load_model: bool = True,
+                               **kwargs):
+    tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True, use_fast=False, legacy=True)
+    return get_model_tokenizer_with_flash_attn(
+        model_dir, model_info, model_kwargs, load_model, tokenizer=tokenizer, **kwargs)
+
+
+register_model(
+    ModelMeta(
+        LLMModelType.polylm,
+        [
+            ModelGroup(
+                [
+                    # base
+                    Model('damo/nlp_polylm_13b_text_generation', 'DAMO-NLP-MT/polylm-13b'),
+                ], ),
+        ],
+        TemplateType.default,
+        get_model_tokenizer_polylm,
+        architectures=['GPT2LMHeadModel'],
+        model_arch=ModelArch.qwen))
+
+
+def get_model_tokenizer_yuan(model_dir: str,
+                             model_info: ModelInfo,
+                             model_kwargs: Dict[str, Any],
+                             load_model: bool = True,
+                             **kwargs):
+    tokenizer = AutoTokenizer.from_pretrained(
+        model_dir, add_eos_token=False, add_bos_token=False, eos_token='<eod>', legacy=True)
+    addi_tokens = [
+        '<sep>', '<pad>', '<mask>', '<predict>', '<FIM_SUFFIX>', '<FIM_PREFIX>', '<FIM_MIDDLE>', '<commit_before>',
+        '<commit_msg>', '<commit_after>', '<jupyter_start>', '<jupyter_text>', '<jupyter_code>', '<jupyter_output>',
+        '<empty_output>'
+    ]
+    tokenizer.add_tokens(addi_tokens, special_tokens=True)
+    model, tokenizer = get_model_tokenizer_with_flash_attn(
+        model_dir, model_info, model_kwargs, load_model, tokenizer=tokenizer, **kwargs)
+    return model, tokenizer
+
+
+register_model(
+    ModelMeta(
+        LLMModelType.yuan2,
+        [
+            ModelGroup([
+                Model('IEITYuan/Yuan2.0-2B-hf', 'IEITYuan/Yuan2-2B-hf'),
+                Model('IEITYuan/Yuan2.0-51B-hf', 'IEITYuan/Yuan2-51B-hf'),
+                Model('IEITYuan/Yuan2.0-102B-hf', 'IEITYuan/Yuan2-102B-hf'),
+                Model('IEITYuan/Yuan2-2B-Janus-hf', 'IEITYuan/Yuan2-2B-Janus-hf'),
+            ]),
+            ModelGroup([
+                Model('IEITYuan/Yuan2-M32-hf', 'IEITYuan/Yuan2-M32-hf'),
+            ]),
+        ],
+        TemplateType.yuan,
+        get_model_tokenizer_yuan,
+        model_arch=ModelArch.llama,
+        architectures=['YuanForCausalLM'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.orion,
+        [
+            ModelGroup([
+                Model('OrionStarAI/Orion-14B-Chat', 'OrionStarAI/Orion-14B-Chat'),
+                Model('OrionStarAI/Orion-14B-Base', 'OrionStarAI/Orion-14B-Base'),
+            ]),
+        ],
+        TemplateType.orion,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=ModelArch.llama,
+        architectures=['OrionForCausalLM'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.dbrx, [
+            ModelGroup([
+                Model('AI-ModelScope/dbrx-base', 'databricks/dbrx-base'),
+                Model('AI-ModelScope/dbrx-instruct', 'databricks/dbrx-instruct'),
+            ]),
+        ],
+        TemplateType.dbrx,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=ModelArch.dbrx,
+        architectures=['DbrxForCausalLM'],
+        requires=['transformers>=4.36']))
+
+register_model(
+    ModelMeta(
+        LLMModelType.bluelm,
+        [
+            ModelGroup([
+                Model('vivo-ai/BlueLM-7B-Chat-32K', 'vivo-ai/BlueLM-7B-Chat-32K'),
+                Model('vivo-ai/BlueLM-7B-Chat', 'vivo-ai/BlueLM-7B-Chat'),
+                Model('vivo-ai/BlueLM-7B-Base-32K', 'vivo-ai/BlueLM-7B-Base-32K'),
+                Model('vivo-ai/BlueLM-7B-Base', 'vivo-ai/BlueLM-7B-Base'),
+            ]),
+        ],
+        TemplateType.bluelm,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=ModelArch.llama,
+        architectures=['BlueLMForCausalLM'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.seggpt,
+        [
+            ModelGroup([
+                Model('damo/nlp_seqgpt-560m', 'DAMO-NLP/SeqGPT-560M'),
+            ]),
+        ],
+        TemplateType.default,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=None,
+        architectures=['BloomForCausalLM'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.xverse,
+        [
+            ModelGroup([
+                Model('xverse/XVERSE-7B-Chat', 'xverse/XVERSE-7B-Chat'),
+                Model('xverse/XVERSE-7B', 'xverse/XVERSE-7B'),
+                Model('xverse/XVERSE-13B', 'xverse/XVERSE-13B'),
+                Model('xverse/XVERSE-13B-Chat', 'xverse/XVERSE-13B-Chat'),
+                Model('xverse/XVERSE-65B', 'xverse/XVERSE-65B'),
+                Model('xverse/XVERSE-65B-2', 'xverse/XVERSE-65B-2'),
+                Model('xverse/XVERSE-65B-Chat', 'xverse/XVERSE-65B-Chat'),
+                Model('xverse/XVERSE-13B-256K', 'xverse/XVERSE-13B-256K', ms_revision='v1.0.0'),
+            ]),
+        ],
+        TemplateType.xverse,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=ModelArch.llama,
+        architectures=['XverseForCausalLM'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.xverse_moe,
+        [
+            ModelGroup([
+                Model('xverse/XVERSE-MoE-A4.2B', 'xverse/XVERSE-MoE-A4.2B'),
+            ]),
+        ],
+        TemplateType.xverse,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=ModelArch.llama,
+        architectures=['XverseForCausalLM'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.c4ai,
+        [
+            ModelGroup([
+                Model('AI-ModelScope/c4ai-command-r-v01', 'CohereForAI/c4ai-command-r-v01'),
+                Model('AI-ModelScope/c4ai-command-r-plus', 'CohereForAI/c4ai-command-r-plus'),
+            ]),
+        ],
+        TemplateType.c4ai,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=ModelArch.llama,
+        architectures=['CohereForCausalLM'],
+        requires=['transformers>=4.39'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.aya, [
+            ModelGroup([
+                Model('AI-ModelScope/aya-expanse-8b', 'CohereForAI/aya-expanse-8b'),
+                Model('AI-ModelScope/aya-expanse-32b', 'CohereForAI/aya-expanse-32b'),
+            ]),
+        ],
+        TemplateType.aya,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=ModelArch.llama,
+        architectures=['CohereForCausalLM'],
+        requires=['transformers>=4.44.0']))
+
+register_model(
+    ModelMeta(
+        LLMModelType.ling,
+        [
+            ModelGroup([
+                Model('inclusionAI/Ling-lite', 'inclusionAI/Ling-lite'),
+                Model('inclusionAI/Ling-plus', 'inclusionAI/Ling-plus'),
+                Model('inclusionAI/Ling-lite-base', 'inclusionAI/Ling-lite-base'),
+                Model('inclusionAI/Ling-plus-base', 'inclusionAI/Ling-plus-base'),
+            ]),
+        ],
+        TemplateType.ling,
+        get_model_tokenizer_with_flash_attn,
+        architectures=['BailingMoeForCausalLM'],
+    ))
+
+
+def get_model_tokenizer_qwen2_gte(model_dir: str,
+                                  model_info: ModelInfo,
+                                  model_kwargs: Dict[str, Any],
+                                  load_model: bool = True,
+                                  *,
+                                  tokenizer=None,
+                                  model_config=None,
+                                  automodel_class=None,
+                                  **kwargs):
+    from sentence_transformers import SentenceTransformer
+    if model_config is None:
+        model_config = AutoConfig.from_pretrained(model_dir, trust_remote_code=True)
+    model_info.config = model_config
+    AttnImpl.update_attn_impl(model_config, kwargs.get('attn_impl'))
+    torch_dtype = model_info.torch_dtype
+    model_config.torch_dtype = torch_dtype
+    HfConfigFactory.compat_zero3(model_config)
+    if load_model:
+        model = SentenceTransformer(
+            model_dir, trust_remote_code=True, model_kwargs={
+                'torch_dtype': torch_dtype,
+            })
+        model.config = model_config
+
+        def enable_input_require_grads(self):
+
+            def make_inputs_require_grads(module, input, output):
+                output.requires_grad_(True)
+
+            self._require_grads_hook = self[0].auto_model.embed_tokens.register_forward_hook(make_inputs_require_grads)
+
+        model.enable_input_require_grads = MethodType(enable_input_require_grads, model)
+        tokenizer = model.tokenizer
+
+        def forward(self, **kwargs):
+            output = self._forward_origin(input=kwargs)
+            return {'last_hidden_state': output['sentence_embedding']}
+
+        if not hasattr(model, '_forward_origin'):
+            model._forward_origin = model.forward
+            model.forward = MethodType(forward, model)
+    else:
+        model = None
+        tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
+    return model, tokenizer
+
+
+register_model(
+    ModelMeta(
+        LLMModelType.qwen2_gte, [
+            ModelGroup([
+                Model('iic/gte_Qwen2-1.5B-instruct', 'Alibaba-NLP/gte-Qwen2-1.5B-instruct'),
+                Model('iic/gte_Qwen2-7B-instruct', 'Alibaba-NLP/gte-Qwen2-7B-instruct'),
+            ]),
+        ],
+        None,
+        get_model_tokenizer_qwen2_gte,
+        architectures=['Qwen2ForCausalLM']))
+
+register_model(
+    ModelMeta(
+        LLMModelType.mimo, [
+            ModelGroup([
+                Model('XiaomiMiMo/MiMo-7B-Base', 'XiaomiMiMo/MiMo-7B-Base'),
+                Model('XiaomiMiMo/MiMo-7B-SFT', 'XiaomiMiMo/MiMo-7B-SFT'),
+                Model('XiaomiMiMo/MiMo-7B-RL-Zero', 'XiaomiMiMo/MiMo-7B-RL-Zero'),
+                Model('XiaomiMiMo/MiMo-7B-RL', 'XiaomiMiMo/MiMo-7B-RL'),
+            ])
+        ],
+        TemplateType.qwen,
+        get_model_tokenizer_with_flash_attn,
+        model_arch=ModelArch.llama,
+        architectures=['MiMoForCausalLM'],
+        requires=['transformers>=4.37']))
diff --git a/ms-swift/swift/llm/model/model/minicpm.py b/ms-swift/swift/llm/model/model/minicpm.py
new file mode 100644
index 0000000000000000000000000000000000000000..c5516cf6cccb72d95fa3e46029b97ebb9bf8fc7d
--- /dev/null
+++ b/ms-swift/swift/llm/model/model/minicpm.py
@@ -0,0 +1,207 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from functools import partial
+from types import MethodType
+from typing import Any, Dict
+
+from transformers import AutoConfig
+from transformers.utils import strtobool
+
+from swift.llm import TemplateType
+from swift.utils import get_env_args
+from ..constant import LLMModelType, MLLMModelType
+from ..model_arch import ModelArch
+from ..patcher import patch_device_map, patch_fixed_device, patch_output_clone
+from ..register import Model, ModelGroup, ModelMeta, get_model_tokenizer_with_flash_attn, register_model
+from ..utils import ModelInfo, use_submodel_func
+from .deepseek import get_model_tokenizer_deepseek_moe
+
+register_model(
+    ModelMeta(
+        LLMModelType.minicpm_moe,
+        [
+            ModelGroup([
+                Model('OpenBMB/MiniCPM-MoE-8x2B', 'openbmb/MiniCPM-MoE-8x2B'),
+            ]),
+        ],
+        TemplateType.minicpm,
+        get_model_tokenizer_deepseek_moe,
+        architectures=['MiniCPMForCausalLM'],
+        model_arch=ModelArch.llama,
+        requires=['transformers>=4.36'],
+    ))
+
+
+def _patch_minicpmv_device_map(model) -> None:
+    if not hasattr(model, 'hf_device_map') or len(model.hf_device_map.values()) == 1:
+        return
+
+    device = list(model.hf_device_map.values())[0]
+    if hasattr(model, 'get_vision_embedding') and not hasattr(model, '_old_get_vision_embedding'):
+        # minicpm-v-v2-chat; avoid double patching
+        _old_get_vision_embedding = model.__class__.get_vision_embedding
+
+        def _get_vision_embedding(self, pixel_values):
+            if len(pixel_values) == 0:
+                return _old_get_vision_embedding(self, pixel_values)
+            output = _old_get_vision_embedding(self, pixel_values)
+            return output.to(device=device)
+
+        model.__class__._old_get_vision_embedding = _old_get_vision_embedding
+        model.__class__.get_vision_embedding = _get_vision_embedding
+
+    if hasattr(model, 'resampler'):  # minicpm-v-v2_5-chat
+        patch_fixed_device(model.resampler, device)
+
+
+def get_model_tokenizer_minicpmv(model_dir: str,
+                                 model_info: ModelInfo,
+                                 model_kwargs: Dict[str, Any],
+                                 load_model: bool = True,
+                                 **kwargs):
+    model, tokenizer = get_model_tokenizer_with_flash_attn(model_dir, model_info, model_kwargs, load_model, **kwargs)
+    if load_model:
+        model.resampler.to(model_info.torch_dtype)  # fix float32
+        _patch_minicpmv_device_map(model)
+        func_list = ['generate', 'get_input_embeddings', 'forward']
+        use_submodel_func(model, 'llm', func_list)
+        if hasattr(model, 'get_slice_image_placeholder'):
+            tokenizer.get_slice_image_placeholder = MethodType(model.get_slice_image_placeholder, tokenizer)
+            tokenizer.transform = MethodType(model.transform, tokenizer)
+    return model, tokenizer
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.minicpmv,
+        [
+            ModelGroup([
+                Model('OpenBMB/MiniCPM-V', 'openbmb/MiniCPM-V'),
+                Model('OpenBMB/MiniCPM-V-2', 'openbmb/MiniCPM-V-2'),
+            ], ),
+        ],
+        TemplateType.minicpmv,
+        get_model_tokenizer_minicpmv,
+        architectures=['MiniCPMV'],
+        model_arch=ModelArch.minicpmv,
+        requires=['timm', 'transformers<4.42'],
+        tags=['vision'],
+    ))
+
+
+def get_model_tokenizer_minicpmv_2_x(model_dir: str,
+                                     model_info: ModelInfo,
+                                     model_kwargs: Dict[str, Any],
+                                     load_model: bool = True,
+                                     **kwargs):
+    from transformers import AutoProcessor
+    processor = AutoProcessor.from_pretrained(model_dir, trust_remote_code=True)
+    version = kwargs.get('version')
+    if version == 'o2.6':
+        model_config = AutoConfig.from_pretrained(model_dir, trust_remote_code=True)
+        model_config.init_tts = strtobool(get_env_args('init_tts', str, 'false'))
+        model_config.init_audio = strtobool(get_env_args('init_audio', str, 'false'))
+        kwargs['model_config'] = model_config
+    with patch_device_map():
+        model, tokenizer = get_model_tokenizer_minicpmv(
+            model_dir, model_info, model_kwargs, load_model, tokenizer=processor.tokenizer, **kwargs)
+    if load_model:
+        embedding = model.get_input_embeddings()
+        patch_output_clone(embedding)
+
+    return model, processor
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.minicpmv2_5,
+        [
+            ModelGroup([
+                Model('OpenBMB/MiniCPM-Llama3-V-2_5', 'openbmb/MiniCPM-Llama3-V-2_5'),
+            ], ),
+        ],
+        TemplateType.minicpmv2_5,
+        get_model_tokenizer_minicpmv_2_x,
+        architectures=['MiniCPMV'],
+        model_arch=ModelArch.minicpmv,
+        requires=['timm', 'transformers>=4.36'],
+        tags=['vision'],
+    ))
+
+register_model(
+    ModelMeta(
+        MLLMModelType.minicpmv2_6,
+        [
+            ModelGroup([
+                Model('OpenBMB/MiniCPM-V-2_6', 'openbmb/MiniCPM-V-2_6'),
+            ], ),
+        ],
+        TemplateType.minicpmv2_6,
+        get_model_tokenizer_minicpmv_2_x,
+        architectures=['MiniCPMV'],
+        model_arch=ModelArch.minicpmv,
+        requires=['timm', 'transformers>=4.36', 'decord'],
+        tags=['vision', 'video'],
+    ))
+
+register_model(
+    ModelMeta(
+        MLLMModelType.minicpmo2_6,
+        [
+            ModelGroup([
+                Model('OpenBMB/MiniCPM-o-2_6', 'openbmb/MiniCPM-o-2_6'),
+            ]),
+        ],
+        TemplateType.minicpmo2_6,
+        partial(get_model_tokenizer_minicpmv_2_x, version='o2.6'),
+        architectures=['MiniCPMO'],
+        model_arch=ModelArch.minicpmv,
+        requires=['timm', 'transformers>=4.36', 'decord', 'soundfile'],
+        tags=['vision', 'video', 'omni', 'audio'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.minicpm,
+        [
+            ModelGroup([
+                Model('OpenBMB/MiniCPM-2B-sft-fp32', 'openbmb/MiniCPM-2B-sft-fp32'),
+                Model('OpenBMB/MiniCPM-2B-dpo-fp32', 'openbmb/MiniCPM-2B-dpo-fp32'),
+                Model('OpenBMB/MiniCPM-1B-sft-bf16', 'openbmb/MiniCPM-1B-sft-bf16'),
+            ], ),
+        ],
+        TemplateType.minicpm,
+        get_model_tokenizer_with_flash_attn,
+        architectures=['MiniCPMForCausalLM'],
+        model_arch=ModelArch.llama,
+        requires=['transformers>=4.36.0'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.minicpm_chatml,
+        [
+            ModelGroup([
+                Model('OpenBMB/MiniCPM-2B-128k', 'openbmb/MiniCPM-2B-128k'),
+            ]),
+        ],
+        TemplateType.chatml,
+        get_model_tokenizer_with_flash_attn,
+        architectures=['MiniCPMForCausalLM'],
+        model_arch=ModelArch.llama,
+        requires=['transformers>=4.36'],
+    ))
+
+register_model(
+    ModelMeta(
+        LLMModelType.minicpm3,
+        [
+            ModelGroup([
+                Model('OpenBMB/MiniCPM3-4B', 'openbmb/MiniCPM3-4B'),
+            ]),
+        ],
+        TemplateType.chatml,
+        get_model_tokenizer_with_flash_attn,
+        architectures=['MiniCPM3ForCausalLM'],
+        model_arch=ModelArch.deepseek_v2,
+        requires=['transformers>=4.36'],
+    ))
diff --git a/ms-swift/swift/llm/model/model/mllm.py b/ms-swift/swift/llm/model/model/mllm.py
new file mode 100644
index 0000000000000000000000000000000000000000..77aa2e5718d68341b4fe170c2a0757543f892361
--- /dev/null
+++ b/ms-swift/swift/llm/model/model/mllm.py
@@ -0,0 +1,180 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from types import MethodType
+from typing import Any, Dict
+
+import torch
+from transformers.dynamic_module_utils import get_class_from_dynamic_module
+
+from swift.llm import TemplateType
+from swift.llm.model.model.qwen import get_model_tokenizer_qwen2_vl
+from swift.utils import get_logger
+from ..constant import MLLMModelType
+from ..model_arch import ModelArch
+from ..patcher import patch_output_clone, patch_output_normalizer
+from ..register import (Model, ModelGroup, ModelMeta, get_model_tokenizer_multimodal,
+                        get_model_tokenizer_with_flash_attn, register_model)
+from ..utils import ModelInfo, use_submodel_func
+
+logger = get_logger()
+
+
+def get_model_tokenizer_idefics(model_dir: str, *args, **kwargs):
+    from transformers import AutoModelForVision2Seq
+    kwargs['automodel_class'] = kwargs['automodel_class'] or AutoModelForVision2Seq
+    model, processor = get_model_tokenizer_multimodal(model_dir, *args, **kwargs)
+    return model, processor
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.idefics3,
+        [
+            ModelGroup([
+                Model('AI-ModelScope/Idefics3-8B-Llama3', 'HuggingFaceM4/Idefics3-8B-Llama3'),
+            ]),
+        ],
+        TemplateType.idefics3,
+        get_model_tokenizer_idefics,
+        model_arch=ModelArch.idefics3,
+        architectures=['Idefics3ForConditionalGeneration'],
+        tags=['vision'],
+        requires=['transformers>=4.45'],
+    ))
+
+
+def get_model_tokenizer_pixtral(model_dir: str, *args, **kwargs):
+    from transformers import LlavaForConditionalGeneration
+    kwargs['automodel_class'] = kwargs['automodel_class'] or LlavaForConditionalGeneration
+    model, processor = get_model_tokenizer_multimodal(model_dir, *args, **kwargs)
+    return model, processor
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.pixtral,
+        [
+            ModelGroup([
+                Model('AI-ModelScope/pixtral-12b', 'mistral-community/pixtral-12b'),
+            ]),
+        ],
+        TemplateType.pixtral,
+        get_model_tokenizer_pixtral,
+        model_arch=ModelArch.llava_hf,
+        architectures=['LlavaForConditionalGeneration'],
+        requires=['transformers>=4.45'],
+        tags=['vision'],
+    ))
+
+
+def get_model_tokenizer_molmoe(model_dir: str,
+                               model_info: ModelInfo,
+                               model_kwargs: Dict[str, Any],
+                               load_model: bool = True,
+                               **kwargs):
+    model, processor = get_model_tokenizer_multimodal(model_dir, model_info, model_kwargs, load_model, **kwargs)
+
+    # fix bug for molmoe-1b
+    def to_dict(self, *args, **kwargs):
+        res = self._to_dict(*args, **kwargs)
+        res['vision_backbone'] = self.vision_backbone.__dict__
+        res.pop('to_dict')
+        res.pop('_to_dict')
+        return res
+
+    if model is not None:
+        model.config._to_dict = model.config.to_dict
+        model.config.to_dict = MethodType(to_dict, model.config)
+        patch_output_clone(model.model.transformer.wte)
+    return model, processor
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.molmoe,
+        [
+            ModelGroup([
+                Model('LLM-Research/MolmoE-1B-0924', 'allenai/MolmoE-1B-0924'),
+            ]),
+        ],
+        TemplateType.molmo,
+        get_model_tokenizer_molmoe,
+        model_arch=ModelArch.molmo,
+        torch_dtype=torch.float32,
+        architectures=['OLMoForCausalLM'],
+        tags=['vision'],
+        requires=['transformers>=4.45'],
+    ))
+
+
+def get_model_tokenizer_molmo(model_dir: str,
+                              model_info: ModelInfo,
+                              model_kwargs: Dict[str, Any],
+                              load_model: bool = True,
+                              **kwargs):
+    model_cls = get_class_from_dynamic_module('modeling_molmo.MolmoForCausalLM', model_dir)
+    model_cls._no_split_modules = ['MolmoSequentialBlock']
+    model, processor = get_model_tokenizer_multimodal(model_dir, model_info, model_kwargs, load_model, **kwargs)
+    if model is not None:
+        patch_output_clone(model.model.transformer.wte)
+    return model, processor
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.molmo,
+        [
+            ModelGroup([
+                Model('LLM-Research/Molmo-7B-O-0924', 'allenai/Molmo-7B-O-0924'),
+                Model('LLM-Research/Molmo-7B-D-0924', 'allenai/Molmo-7B-D-0924'),
+                Model('LLM-Research/Molmo-72B-0924', 'allenai/Molmo-72B-0924'),
+            ]),
+        ],
+        TemplateType.molmo,
+        get_model_tokenizer_molmo,
+        model_arch=ModelArch.molmo,
+        architectures=['MolmoForCausalLM'],
+        tags=['vision'],
+        requires=['transformers>=4.45'],
+    ))
+
+
+def get_model_tokenizer_megrez_omni(model_dir, *args, **kwargs):
+    model_cls = get_class_from_dynamic_module('modeling_megrezo.MegrezO', model_dir)
+    model_cls._no_split_modules = ['ResidualAttentionBlock', 'LlamaDecoderLayer']
+    model_cls = get_class_from_dynamic_module('modeling_megrezo.SiglipVisionTransformer', model_dir)
+    model_cls._no_split_modules = ['SiglipEncoderLayer']
+    model, processor = get_model_tokenizer_with_flash_attn(model_dir, *args, **kwargs)
+    processor = model._get_or_init_processor()
+    patch_output_clone(model.llm.model.embed_tokens)
+    use_submodel_func(model, 'llm')
+    return model, processor
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.megrez_omni,
+        [
+            ModelGroup([
+                Model('InfiniAI/Megrez-3B-Omni', 'Infinigence/Megrez-3B-Omni'),
+            ]),
+        ],
+        TemplateType.megrez_omni,
+        get_model_tokenizer_megrez_omni,
+        model_arch=ModelArch.megrez_omni,
+        architectures=['MegrezO'],
+        tags=['vision', 'audio'],
+    ))
+
+register_model(
+    ModelMeta(
+        MLLMModelType.qwen2_gme, [
+            ModelGroup([
+                Model('iic/gme-Qwen2-VL-2B-Instruct', 'Alibaba-NLP/gme-Qwen2-VL-2B-Instruct'),
+                Model('iic/gme-Qwen2-VL-7B-Instruct', 'Alibaba-NLP/gme-Qwen2-VL-7B-Instruct'),
+            ]),
+        ],
+        TemplateType.qwen2_gme,
+        get_model_tokenizer_qwen2_vl,
+        model_arch=ModelArch.qwen2_vl,
+        architectures=['Qwen2VLForConditionalGeneration'],
+        tags=['vision']))
diff --git a/ms-swift/swift/llm/model/model/moonshot.py b/ms-swift/swift/llm/model/model/moonshot.py
new file mode 100644
index 0000000000000000000000000000000000000000..b8a34c18117f4352355028db3660a13bde77fed6
--- /dev/null
+++ b/ms-swift/swift/llm/model/model/moonshot.py
@@ -0,0 +1,47 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from swift.llm import TemplateType
+from ..constant import LLMModelType, MLLMModelType
+from ..model_arch import ModelArch
+from ..patcher import patch_output_clone
+from ..register import (Model, ModelGroup, ModelMeta, get_model_tokenizer_multimodal,
+                        get_model_tokenizer_with_flash_attn, register_model)
+
+register_model(
+    ModelMeta(
+        LLMModelType.moonlight,
+        [
+            ModelGroup([
+                Model('moonshotai/Moonlight-16B-A3B', 'moonshotai/Moonlight-16B-A3B'),
+                Model('moonshotai/Moonlight-16B-A3B-Instruct', 'moonshotai/Moonlight-16B-A3B-Instruct'),
+            ]),
+        ],
+        TemplateType.moonlight,
+        get_model_tokenizer_with_flash_attn,
+        architectures=['DeepseekV3ForCausalLM'],
+        model_arch=ModelArch.deepseek_v2,
+        requires=['transformers<4.49'],
+    ))
+
+
+def get_model_tokenizer_kimi_vl(*args, **kwargs):
+    model, processor = get_model_tokenizer_multimodal(*args, **kwargs)
+    if model is not None:
+        patch_output_clone(model.language_model.model.embed_tokens)
+    return model, processor
+
+
+register_model(
+    ModelMeta(
+        MLLMModelType.kimi_vl,
+        [
+            ModelGroup([
+                Model('moonshotai/Kimi-VL-A3B-Instruct', 'moonshotai/Kimi-VL-A3B-Instruct'),
+                Model('moonshotai/Kimi-VL-A3B-Thinking', 'moonshotai/Kimi-VL-A3B-Thinking'),
+            ])
+        ],
+        TemplateType.kimi_vl,
+        get_model_tokenizer_kimi_vl,
+        architectures=['KimiVLForConditionalGeneration'],
+        model_arch=ModelArch.llava_hf,
+        requires=['transformers<4.49'],
+    ))
diff --git a/ms-swift/swift/llm/model/model_arch.py b/ms-swift/swift/llm/model/model_arch.py
new file mode 100644
index 0000000000000000000000000000000000000000..b32b47c0c6490e98244e37ff670889a892cc6b9b
--- /dev/null
+++ b/ms-swift/swift/llm/model/model_arch.py
@@ -0,0 +1,560 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+from dataclasses import dataclass, field
+from typing import List, Optional, Union
+
+
+class LLMModelArch:
+    qwen = 'qwen'
+    llama = 'llama'
+    internlm2 = 'internlm2'
+    chatglm = 'chatglm'
+    deepseek_v2 = 'deepseek_v2'
+    baichuan = 'baichuan'
+
+    yuan = 'yuan'
+    codefuse = 'codefuse'
+    phi2 = 'phi2'
+    phi3 = 'phi3'
+    phi3_small = 'phi3_small'
+    telechat = 'telechat'
+    dbrx = 'dbrx'
+
+
+class MLLMModelArch:
+    qwen_vl = 'qwen_vl'
+    qwen_audio = 'qwen_audio'
+    qwen2_vl = 'qwen2_vl'
+    qwen2_audio = 'qwen2_audio'
+    qwen2_5_omni = 'qwen2_5_omni'
+
+    cogvlm = 'cogvlm'
+    glm4v = 'glm4v'
+    glm_edge_v = 'glm_edge_v'
+
+    llama3_1_omni = 'llama3_1_omni'
+    llama3_2_vision = 'llama3_2_vision'
+    llama4 = 'llama4'
+
+    llava_hf = 'llava_hf'
+    llava_next_video_hf = 'llava_next_video_hf'
+
+    llava_llama = 'llava_llama'
+    llava_mistral = 'llava_mistral'
+
+    xcomposer = 'xcomposer'
+    internvl = 'internvl'
+    minicpmv = 'minicpmv'
+    deepseek_vl = 'deepseek_vl'
+    deepseek_vl2 = 'deepseek_vl2'
+    deepseek_janus = 'deepseek_janus'
+
+    mplug_owl2 = 'mplug_owl2'
+    mplug_owl2_1 = 'mplug_owl2_1'
+    mplug_owl3 = 'mplug_owl3'
+    doc_owl2 = 'doc_owl2'
+
+    phi3_vision = 'phi3_vision'
+    phi4_multimodal = 'phi4_multimodal'
+    florence = 'florence'
+    idefics3 = 'idefics3'
+
+    got_ocr2 = 'got_ocr2'
+    got_ocr2_hf = 'got_ocr2_hf'
+
+    ovis1_6 = 'ovis1_6'
+    molmo = 'molmo'
+    emu3_chat = 'emu3_chat'
+    megrez_omni = 'megrez_omni'
+    valley = 'valley'
+    gemma3_vision = 'gemma3_vision'
+    mistral_2503 = 'mistral_2503'
+
+
+class ModelArch(LLMModelArch, MLLMModelArch):
+    pass
+
+
+@dataclass
+class ModelKeys:
+
+    arch_name: str = None
+
+    embedding: str = None
+    module_list: str = None
+    lm_head: str = None
+
+    q_proj: str = None
+    k_proj: str = None
+    v_proj: str = None
+    o_proj: str = None
+    attention: str = None
+
+    mlp: str = None
+    down_proj: str = None
+
+    qkv_proj: str = None
+    qk_proj: str = None
+    qa_proj: str = None
+    qb_proj: str = None
+    kv_proj: str = None
+    kva_proj: str = None
+    kvb_proj: str = None
+
+
+@dataclass
+class MultiModelKeys(ModelKeys):
+    language_model: Union[str, List[str]] = field(default_factory=list)
+    aligner: Union[str, List[str]] = field(default_factory=list)
+    vision_tower: Union[str, List[str]] = field(default_factory=list)
+    generator: Union[str, List[str]] = field(default_factory=list)
+
+    def __post_init__(self):
+        for key in ['language_model', 'aligner', 'vision_tower', 'generator']:
+            v = getattr(self, key)
+            if isinstance(v, str):
+                setattr(self, key, [v])
+            if v is None:
+                setattr(self, key, [])
+
+
+MODEL_ARCH_MAPPING = {}
+
+
+def register_model_arch(model_arch: ModelKeys, *, exist_ok: bool = False) -> None:
+    """
+    model_type: The unique ID for the model type. Models with the same model_type share
+        the same architectures, template, get_function, etc.
+    """
+    arch_name = model_arch.arch_name
+    if not exist_ok and arch_name in MODEL_ARCH_MAPPING:
+        raise ValueError(f'The `{arch_name}` has already been registered in the MODEL_ARCH_MAPPING.')
+
+    MODEL_ARCH_MAPPING[arch_name] = model_arch
+
+
+register_model_arch(
+    ModelKeys(
+        LLMModelArch.llama,
+        module_list='model.layers',
+        mlp='model.layers.{}.mlp',
+        down_proj='model.layers.{}.mlp.down_proj',
+        attention='model.layers.{}.self_attn',
+        o_proj='model.layers.{}.self_attn.o_proj',
+        q_proj='model.layers.{}.self_attn.q_proj',
+        k_proj='model.layers.{}.self_attn.k_proj',
+        v_proj='model.layers.{}.self_attn.v_proj',
+        embedding='model.embed_tokens',
+        lm_head='lm_head',
+    ))
+
+register_model_arch(
+    ModelKeys(
+        LLMModelArch.internlm2,
+        module_list='model.layers',
+        mlp='model.layers.{}.feed_forward',
+        down_proj='model.layers.{}.feed_forward.w2',
+        attention='model.layers.{}.attention',
+        o_proj='model.layers.{}.attention.wo',
+        qkv_proj='model.layers.{}.attention.wqkv',
+        embedding='model.tok_embeddings',
+        lm_head='output',
+    ))
+
+register_model_arch(
+    ModelKeys(
+        LLMModelArch.chatglm,
+        module_list='transformer.encoder.layers',
+        mlp='transformer.encoder.layers.{}.mlp',
+        down_proj='transformer.encoder.layers.{}.mlp.dense_4h_to_h',
+        attention='transformer.encoder.layers.{}.self_attention',
+        o_proj='transformer.encoder.layers.{}.self_attention.dense',
+        qkv_proj='transformer.encoder.layers.{}.self_attention.query_key_value',
+        embedding='transformer.embedding',
+        lm_head='transformer.output_layer'))
+
+register_model_arch(
+    ModelKeys(
+        LLMModelArch.telechat,
+        module_list='transformer.h',
+        mlp='transformer.h.{}.mlp',
+        down_proj='transformer.h.{}.mlp.down_proj',
+        attention='transformer.h.{}.self_attention',
+        o_proj='transformer.h.{}.self_attention.dense',
+        q_proj='transformer.h.{}.self_attention.query',
+        kv_proj='transformer.h.{}.self_attention.key_value',
+        embedding='transformer.word_embeddings',
+        lm_head='lm_head'))
+
+register_model_arch(
+    ModelKeys(
+        LLMModelArch.baichuan,
+        module_list='model.layers',
+        mlp='model.layers.{}.mlp',
+        down_proj='model.layers.{}.mlp.down_proj',
+        attention='model.layers.{}.self_attn',
+        qkv_proj='model.layers.{}.self_attn.W_pack',
+        embedding='model.embed_tokens',
+        lm_head='lm_head',
+    ))
+
+register_model_arch(
+    ModelKeys(
+        LLMModelArch.yuan,
+        module_list='model.layers',
+        mlp='model.layers.{}.mlp',
+        down_proj='model.layers.{}.mlp.down_proj',
+        attention='model.layers.{}.self_attn',
+        qk_proj='model.layers.{}.self_attn.qk_proj',
+        o_proj='model.layers.{}.self_attn.o_proj',
+        q_proj='model.layers.{}.self_attn.q_proj',
+        k_proj='model.layers.{}.self_attn.k_proj',
+        v_proj='model.layers.{}.self_attn.v_proj',
+        embedding='model.embed_tokens',
+        lm_head='lm_head',
+    ))
+
+register_model_arch(
+    ModelKeys(
+        LLMModelArch.codefuse,
+        module_list='gpt_neox.layers',
+        mlp='gpt_neox.layers.{}.mlp',
+        down_proj='gpt_neox.layers.{}.mlp.dense_4h_to_h',
+        attention='gpt_neox.layers.{}.attention',
+        o_proj='gpt_neox.layers.{}.attention.dense',
+        qkv_proj='gpt_neox.layers.{}.attention.query_key_value',
+        embedding='gpt_neox.embed_in',
+        lm_head='gpt_neox.embed_out',
+    ))
+
+register_model_arch(
+    ModelKeys(
+        LLMModelArch.phi2,
+        module_list='model.layers',
+        mlp='model.layers.{}.mlp',
+        down_proj='model.layers.{}.mlp.fc2',
+        attention='model.layers.{}.self_attn',
+        o_proj='model.layers.{}.self_attn.dense',
+        q_proj='model.layers.{}.self_attn.q_proj',
+        k_proj='model.layers.{}.self_attn.k_proj',
+        v_proj='model.layers.{}.self_attn.v_proj',
+        embedding='model.embed_tokens',
+        lm_head='lm_head',
+    ))
+
+register_model_arch(
+    ModelKeys(
+        LLMModelArch.qwen,
+        module_list='transformer.h',
+        mlp='transformer.h.{}.mlp',
+        down_proj='transformer.h.{}.mlp.c_proj',
+        attention='transformer.h.{}.attn',
+        o_proj='transformer.h.{}.attn.c_proj',
+        qkv_proj='transformer.h.{}.attn.c_attn',
+        embedding='transformer.wte',
+        lm_head='lm_head',
+    ))
+
+register_model_arch(
+    ModelKeys(
+        LLMModelArch.dbrx,
+        module_list='transformer.blocks',
+        mlp='transformer.blocks.{}.ffn',
+        attention='transformer.blocks.{}.norm_attn_norm.attn',
+        o_proj='transformer.blocks.{}.norm_attn_norm.attn.out_proj',
+        qkv_proj='transformer.blocks.{}.norm_attn_norm.attn.Wqkv',
+        embedding='transformer.wte',
+        lm_head='lm_head',
+    ))
+
+register_model_arch(
+    ModelKeys(
+        LLMModelArch.phi3,
+        module_list='model.layers',
+        mlp='model.layers.{}.mlp',
+        down_proj='model.layers.{}.mlp.down_proj',
+        attention='model.layers.{}.self_attn',
+        o_proj='model.layers.{}.self_attn.o_proj',
+        qkv_proj='model.layers.{}.self_attn.qkv_proj',
+        embedding='model.embed_tokens',
+        lm_head='lm_head',
+    ))
+
+register_model_arch(
+    ModelKeys(
+        LLMModelArch.phi3_small,
+        module_list='model.layers',
+        mlp='model.layers.{}.mlp',
+        down_proj='model.layers.{}.mlp.down_proj',
+        attention='model.layers.{}.self_attn',
+        o_proj='model.layers.{}.self_attn.dense',
+        qkv_proj='model.layers.{}.self_attn.query_key_value',
+        embedding='model.embed_tokens',
+        lm_head='lm_head',
+    ))
+
+register_model_arch(
+    ModelKeys(
+        LLMModelArch.deepseek_v2,
+        module_list='model.layers',
+        mlp='model.layers.{}.mlp',
+        down_proj='model.layers.{}.mlp.down_proj',
+        attention='model.layers.{}.self_attn',
+        o_proj='model.layers.{}.self_attn.o_proj',
+        qa_proj='model.layers.{}.self_attn.q_a_proj',
+        qb_proj='model.layers.{}.self_attn.q_b_proj',
+        kva_proj='model.layers.{}.self_attn.kv_a_proj_with_mqa',
+        kvb_proj='model.layers.{}.self_attn.kv_b_proj',
+        embedding='model.embed_tokens',
+        lm_head='lm_head',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.llava_hf,
+        language_model='language_model',
+        aligner='multi_modal_projector',
+        vision_tower='vision_tower',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.llava_mistral,
+        language_model='model.layers',
+        aligner='model.mm_projector',
+        vision_tower='model.vision_tower',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.llava_next_video_hf,
+        language_model='language_model',
+        aligner=['multi_modal_projector'],
+        vision_tower='vision_tower'))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.llava_llama,
+        language_model='model.layers',
+        aligner='model.mm_projector',
+        vision_tower='model.vision_tower',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.xcomposer,
+        language_model='model',
+        aligner='vision_proj',
+        vision_tower='vit',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.internvl,
+        language_model='language_model',
+        aligner='mlp1',
+        vision_tower='vision_model',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.mplug_owl3,
+        language_model='language_model',
+        aligner='vision2text_model',
+        vision_tower='vision_model',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.doc_owl2,
+        language_model='model.layers',
+        aligner=['model.vision2text', 'model.hr_compressor'],
+        vision_tower='model.vision_model',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.deepseek_vl,
+        language_model='language_model',
+        aligner='aligner',
+        vision_tower='vision_model',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.deepseek_janus,
+        language_model='language_model',
+        vision_tower='vision_model',
+        aligner='aligner',
+        generator=['gen_vision_model', 'gen_aligner', 'gen_head', 'gen_embed']))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.deepseek_vl2,
+        language_model='language',
+        vision_tower='vision',
+        aligner='projector',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.minicpmv,
+        language_model='llm',
+        aligner='resampler',
+        vision_tower='vpm',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.phi3_vision,
+        language_model='model.layers',
+        aligner='model.vision_embed_tokens.img_projection',
+        vision_tower='model.vision_embed_tokens.img_processor',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.phi4_multimodal,
+        language_model='model.layers',
+        aligner=[
+            'model.embed_tokens_extend.image_embed.img_projection',
+            'model.embed_tokens_extend.audio_embed.audio_projection'
+        ],
+        vision_tower=[
+            'model.embed_tokens_extend.image_embed.img_processor', 'model.embed_tokens_extend.audio_embed.encoder'
+        ],
+    ))
+
+register_model_arch(MultiModelKeys(
+    MLLMModelArch.cogvlm,
+    language_model='model.layers',
+    vision_tower='model.vision',
+))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.florence,
+        language_model='language_model',
+        vision_tower='vision_tower',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.qwen_vl,
+        language_model='transformer.h',
+        vision_tower='transformer.visual',
+    ))
+# TODO: check lm_head, ALL
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.qwen_audio,
+        language_model='transformer.h',
+        vision_tower='transformer.audio',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.qwen2_audio,
+        language_model='language_model',
+        aligner='multi_modal_projector',
+        vision_tower='audio_tower',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.qwen2_vl,
+        language_model='model',
+        aligner='visual.merger',
+        vision_tower='visual',
+    ))
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.qwen2_5_omni,
+        language_model='thinker.model',
+        vision_tower=['thinker.audio_tower', 'thinker.visual'],
+        aligner=['thinker.audio_tower.proj', 'thinker.visual.merger'],
+        generator=['talker', 'token2wav'],
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.glm4v,
+        language_model='transformer.encoder',
+        vision_tower='transformer.vision',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.idefics3,
+        language_model='model.text_model',
+        aligner='model.connector',
+        vision_tower='model.vision_model',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.llama3_1_omni,
+        language_model='model.layers',
+        aligner='model.speech_projector',
+        vision_tower='model.speech_encoder',
+        generator='speech_generator',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.got_ocr2,
+        language_model='model.layers',
+        aligner='model.mm_projector_vary',
+        vision_tower='model.vision_tower_high',
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.llama3_2_vision,
+        language_model='language_model',
+        aligner='multi_modal_projector',
+        vision_tower='vision_model',
+    ))
+
+register_model_arch(MultiModelKeys(
+    MLLMModelArch.ovis1_6,
+    language_model='llm',
+    vision_tower='visual_tokenizer',
+))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.molmo,
+        language_model='model.transformer',
+        vision_tower='model.vision_backbone',
+        aligner='model.vision_backbone.image_projector'))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.megrez_omni,
+        language_model='llm',
+        vision_tower=['vision', 'audio'],
+    ))
+
+register_model_arch(MultiModelKeys(MLLMModelArch.emu3_chat, language_model='model'))
+
+register_model_arch(
+    MultiModelKeys(MLLMModelArch.glm_edge_v, language_model='model.layers', vision_tower='model.vision'))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.valley,
+        language_model='model',
+        vision_tower=['model.vision_tower', 'model.qwen2vl_vision_tower'],
+    ))
+
+register_model_arch(
+    MultiModelKeys(
+        MLLMModelArch.gemma3_vision,
+        language_model='language_model',
+        aligner='multi_modal_projector',
+        vision_tower='vision_tower',
+    ))
+
+
+def get_model_arch(arch_name: Optional[str]) -> Optional[MultiModelKeys]:
+    return MODEL_ARCH_MAPPING.get(arch_name)
diff --git a/ms-swift/swift/llm/model/register.py b/ms-swift/swift/llm/model/register.py
new file mode 100644
index 0000000000000000000000000000000000000000..3b725315eb88dc247849ee1f9723575b621fe8b6
--- /dev/null
+++ b/ms-swift/swift/llm/model/register.py
@@ -0,0 +1,612 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+import os
+import platform
+import re
+from copy import deepcopy
+from dataclasses import asdict, dataclass, field
+from functools import partial
+from typing import Any, Callable, Dict, List, Literal, Optional, Tuple, Union
+
+import torch
+import transformers
+from packaging import version
+from peft import PeftModel
+from transformers import (AutoConfig, AutoModel, AutoModelForCausalLM, AutoModelForSequenceClassification,
+                          AutoTokenizer, GenerationConfig, PretrainedConfig, PreTrainedModel, PreTrainedTokenizerBase)
+from transformers.integrations import is_deepspeed_zero3_enabled
+from transformers.utils import (is_torch_bf16_gpu_available, is_torch_cuda_available, is_torch_mps_available,
+                                is_torch_npu_available, strtobool)
+from transformers.utils.versions import require_version
+
+from swift.utils import get_dist_setting, get_logger, is_mp, is_unsloth_available, patch_getattr, use_torchacc
+from .constant import ModelType
+from .patcher import (patch_automodel, patch_automodel_for_sequence_classification, patch_get_dynamic_module,
+                      patch_mp_ddp, patch_tp_plan)
+from .utils import AttnImpl, HfConfigFactory, InitModelStrategy, ModelInfo, safe_snapshot_download
+
+GetModelTokenizerFunction = Callable[..., Tuple[Optional[PreTrainedModel], PreTrainedTokenizerBase]]
+logger = get_logger()
+
+
+@dataclass
+class Model:
+    ms_model_id: Optional[str] = None
+    hf_model_id: Optional[str] = None
+    model_path: Optional[str] = None
+
+    ms_revision: Optional[str] = None
+    hf_revision: Optional[str] = None
+
+
+@dataclass
+class ModelGroup:
+    models: List[Model]
+
+    # Higher priority. If set to None, the attributes of the ModelMeta will be used.
+    ignore_patterns: Optional[List[str]] = None
+    requires: Optional[List[str]] = None
+    tags: List[str] = field(default_factory=list)
+
+    def __post_init__(self):
+        if not isinstance(self.models, (tuple, list)):
+            self.models = [self.models]
+
+
+@dataclass
+class ModelMeta:
+    model_type: Optional[str]
+    # Used to list the model_ids from modelscope/huggingface,
+    # which participate in the automatic inference of the model_type.
+    model_groups: List[ModelGroup]
+    template: Optional[str]
+    get_function: GetModelTokenizerFunction
+
+    model_arch: Optional[str] = None
+    architectures: List[str] = field(default_factory=list)
+    # Additional files that need to be saved for full parameter training/merge-lora.
+    additional_saved_files: List[str] = field(default_factory=list)
+    torch_dtype: Optional[torch.dtype] = None
+
+    is_multimodal: bool = False
+    is_reward: bool = False
+    task_type: Optional[str] = None
+
+    # File patterns to ignore when downloading the model.
+    ignore_patterns: Optional[List[str]] = None
+    # Usually specifies the version limits of transformers.
+    requires: List[str] = field(default_factory=list)
+    tags: List[str] = field(default_factory=list)
+
+    def __post_init__(self):
+        if self.template is None:
+            self.template = 'dummy'
+        if not isinstance(self.model_groups, (list, tuple)):
+            self.model_groups = [self.model_groups]
+
+    def get_matched_model_group(self, model_name: str) -> Optional[ModelGroup]:
+        for model_group in self.model_groups:
+            for model in model_group.models:
+                for key in ['ms_model_id', 'hf_model_id', 'model_path']:
+                    value = getattr(model, key)
+
+                    if isinstance(value, str) and model_name == value.rsplit('/', 1)[-1].lower():
+                        return model_group
+
+    def check_requires(self, model_info=None):
+        extra_requires = []
+        if model_info and model_info.quant_method:
+            mapping = {'bnb': ['bitsandbytes'], 'awq': ['autoawq'], 'gptq': ['auto_gptq'], 'aqlm': ['aqlm']}
+            extra_requires += mapping.get(model_info.quant_method, [])
+        requires = []
+        for require in self.requires + extra_requires:
+            try:
+                require_version(require)
+            except ImportError:
+                requires.append(f'"{require}"')
+        if requires:
+            requires = ' '.join(requires)
+            logger.warning(f'Please install the package: `pip install {requires} -U`.')
+
+
+MODEL_MAPPING: Dict[str, ModelMeta] = {}
+
+
+def register_model(model_meta: ModelMeta, *, exist_ok: bool = False) -> None:
+    """
+    model_type: The unique ID for the model type. Models with the same model_type share
+        the same architectures, template, get_function, etc.
+    """
+    model_type = model_meta.model_type
+    if not exist_ok and model_type in MODEL_MAPPING:
+        raise ValueError(f'The `{model_type}` has already been registered in the MODEL_MAPPING.')
+    from .constant import MLLMModelType, RMModelType
+    if model_type in MLLMModelType.__dict__:
+        model_meta.is_multimodal = True
+    if model_type in RMModelType.__dict__:
+        model_meta.is_reward = True
+    MODEL_MAPPING[model_type] = model_meta
+
+
+def load_by_unsloth(args):
+    """Load model by unsloth"""
+    assert is_unsloth_available(), 'please install unsloth if using `use_unsloth=True`: `pip install unsloth`'
+    os.environ['UNSLOTH_RETURN_LOGITS'] = '1'
+    os.environ['UNSLOTH_DISABLE_STATISTICS'] = '1'
+    model_info = args.model_info
+    model_meta = args.model_meta
+    if model_meta.is_multimodal:
+        from unsloth import FastVisionModel as UnslothModel
+    else:
+        from unsloth import FastLanguageModel as UnslothModel
+    model, processor = UnslothModel.from_pretrained(
+        model_name=args.adapters and args.adapters[0] or args.model_dir,
+        dtype=args.torch_dtype,
+        max_seq_length=args.max_length,
+        full_finetuning=args.quant_bits is None,
+        load_in_4bit=args.quant_bits == 4,
+        load_in_8bit=args.quant_bits == 8,
+    )
+    if isinstance(model, PeftModel):
+        base_model = model.model
+    else:
+        base_model = model
+    base_model.model_dir = args.model_dir
+    base_model.model_info = model_info
+    base_model.model_meta = model_meta
+    processor.model_info = model_info
+    processor.model_meta = model_meta
+    return model, processor
+
+
+def _patch_awq_compat(model_info):
+    if version.parse(transformers.__version__) < version.parse('4.50') or model_info.quant_method != 'awq':
+        return
+
+    try:
+        # compat transformers>=4.50 (autoawq)
+        from transformers.quantizers.quantizer_awq import AwqQuantizer
+        from transformers.integrations import get_keys_to_not_convert
+        _process_model_before_weight_loading = AwqQuantizer._process_model_before_weight_loading
+
+        def _new_process_model_before_weight_loading(self, model, *args, **kwargs):
+            modules_to_not_convert = self.quantization_config.modules_to_not_convert
+            if modules_to_not_convert is not None:
+                self.quantization_config.modules_to_not_convert = list(
+                    modules_to_not_convert) + get_keys_to_not_convert(model)
+            return _process_model_before_weight_loading(self, model, *args, **kwargs)
+
+        AwqQuantizer._process_model_before_weight_loading = _new_process_model_before_weight_loading
+    except Exception:
+        pass
+
+
+def get_model_tokenizer_from_local(model_dir: str,
+                                   model_info: ModelInfo,
+                                   model_kwargs: Dict[str, Any],
+                                   load_model: bool = True,
+                                   *,
+                                   tokenizer=None,
+                                   model_config=None,
+                                   automodel_class=None,
+                                   **kwargs):
+    """Load the model and tokenizer from the local model_dir."""
+    if model_config is None:
+        model_config = AutoConfig.from_pretrained(model_dir, trust_remote_code=True)
+    # fix prediction_step (internvl2, ovis, ...)
+    if not hasattr(model_config, 'keys_to_ignore_at_inference'):
+        model_config.keys_to_ignore_at_inference = []
+    if 'past_key_values' not in model_config.keys_to_ignore_at_inference:
+        model_config.keys_to_ignore_at_inference.append('past_key_values')
+
+    torch_dtype = model_info.torch_dtype
+    model_config.torch_dtype = torch_dtype
+    HfConfigFactory.compat_zero3(model_config)
+    rope_scaling = kwargs.get('rope_scaling')
+    if rope_scaling:
+        HfConfigFactory.set_config_attr(model_config, 'rope_scaling', rope_scaling)
+
+    if tokenizer is None:
+        tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
+
+    num_labels = model_info.num_labels or getattr(model_config, 'num_labels', None)
+    if num_labels and model_info.task_type == 'seq_cls':
+        model_info.num_labels = num_labels
+        model_config.num_labels = num_labels
+
+    model = None
+    if load_model:
+        _patch_awq_compat(model_info)
+        logger.info(f'model_kwargs: {model_kwargs}')
+        # fix seq_cls
+        if model_info.task_type == 'seq_cls' and automodel_class is None:
+            try:
+                model = AutoModelForSequenceClassification.from_pretrained(
+                    model_dir, config=model_config, torch_dtype=torch_dtype, trust_remote_code=True, **model_kwargs)
+            except ValueError:
+                model = None
+
+        automodel_class = automodel_class or AutoModelForCausalLM
+        model_meta = kwargs['model_meta']
+        if model is None:
+            if model_info.task_type == 'seq_cls' and not model_meta.is_reward:
+                context = partial(patch_automodel_for_sequence_classification, model_meta=model_meta)
+            elif model_info.task_type == 'seq_cls' and model_meta.is_reward and model_config.num_labels > 1:
+                logger.warning('You are using a reward model for seq_cls task and num_labels > 1, '
+                               'ignore_mismatched_sizes will be set to True')
+                model_kwargs['ignore_mismatched_sizes'] = True
+                context = partial(patch_automodel_for_sequence_classification, model_meta=model_meta)
+            else:
+                context = partial(patch_automodel, automodel_class=automodel_class, model_info=model_info)
+            with context():
+                model = automodel_class.from_pretrained(
+                    model_dir, config=model_config, torch_dtype=torch_dtype, trust_remote_code=True, **model_kwargs)
+
+        # fix not save modeling_xxx.py (transformers 4.45)
+        # https://github.com/huggingface/transformers/issues/24737
+        has_remote_code = hasattr(model_config, 'auto_map') and automodel_class.__name__ in model_config.auto_map
+        if has_remote_code and model._auto_class is None:
+            model._auto_class = automodel_class.__name__
+
+        if model_info.task_type == 'embedding' and automodel_class.__name__ != 'AutoModel':
+            from swift.llm.model.patcher import patch_output_normalizer
+            patch_output_normalizer(model, model_meta=model_meta)
+
+        init_strategy = kwargs.get('init_strategy')
+        if init_strategy is not None:
+            InitModelStrategy.init_parameters(model, init_strategy)
+
+    model_info.config = model_config if model is None else model.config
+    if model:
+        # fix seq classification task
+        pad_token_id = model.config.pad_token_id or tokenizer.pad_token_id
+        HfConfigFactory.set_model_config_attr(model, 'pad_token_id', pad_token_id)
+    return model, tokenizer
+
+
+def get_model_tokenizer_with_flash_attn(model_dir: str,
+                                        model_info: ModelInfo,
+                                        model_kwargs: Dict[str, Any],
+                                        load_model: bool = True,
+                                        **kwargs):
+    model_config = kwargs.get('model_config')
+    if model_config is None:
+        model_config = AutoConfig.from_pretrained(model_dir, trust_remote_code=True)
+    AttnImpl.update_attn_impl(model_config, kwargs.get('attn_impl'), kwargs.get('attn_impl_keys'))
+    kwargs['model_config'] = model_config
+    return get_model_tokenizer_from_local(model_dir, model_info, model_kwargs, load_model, **kwargs)
+
+
+def get_model_tokenizer_multimodal(model_dir: str, *args, **kwargs):
+    from transformers import AutoProcessor
+    processor = AutoProcessor.from_pretrained(model_dir, trust_remote_code=True)
+    kwargs['tokenizer'] = processor.tokenizer
+    model, _ = get_model_tokenizer_with_flash_attn(model_dir, *args, **kwargs)
+    return model, processor
+
+
+def get_model_tokenizer_reward_model(model_dir, *args, **kwargs):
+    model_config = AutoConfig.from_pretrained(model_dir, trust_remote_code=True)
+    if 'AutoModel' in (getattr(model_config, 'auto_map', None) or {}):
+        kwargs['automodel_class'] = AutoModel
+    return get_model_tokenizer_with_flash_attn(model_dir, *args, **kwargs)
+
+
+def fix_do_sample_warning(generation_config: GenerationConfig) -> None:
+    # Use the default values of temperature/top_p/top_k in generation_config.
+    if generation_config.temperature == 0:
+        generation_config.do_sample = False
+    if generation_config.do_sample is False:
+        generation_config.temperature = 1.
+        generation_config.top_p = 1.
+        generation_config.top_k = 50
+
+
+def get_default_device_map():
+    if is_deepspeed_zero3_enabled() or os.environ.get('ACCELERATE_USE_FSDP', 'False') == 'true':
+        return None
+    local_rank = get_dist_setting()[1]
+    if local_rank == -1:
+        local_rank = 0
+    if is_torch_npu_available():
+        return 'auto' if is_mp() else f'npu:{local_rank}'
+    elif is_torch_mps_available():
+        return f'mps:{local_rank}'
+    elif is_torch_cuda_available():
+        return 'auto' if is_mp() else f'cuda:{local_rank}'
+    else:
+        return 'cpu'
+
+
+def get_default_torch_dtype(torch_dtype: Optional[torch.dtype]):
+    # torch_dtype: torch_dtype in config.json
+    if torch_dtype is not None:
+        return torch_dtype
+
+    try:
+        is_bf16_available = is_torch_bf16_gpu_available() or (is_torch_npu_available()
+                                                              and torch.npu.is_bf16_supported())
+    except:  # noqa
+        is_bf16_available = False
+
+    if is_torch_cuda_available() or is_torch_npu_available():
+        if is_bf16_available:
+            return torch.bfloat16
+        else:
+            return torch.float16
+    else:
+        # cpu
+        return torch.float32
+
+
+def get_model_name(model_id_or_path: str) -> Optional[str]:
+    assert isinstance(model_id_or_path, str), f'model_id_or_path: {model_id_or_path}'
+    # compat hf hub
+    model_id_or_path = model_id_or_path.rstrip('/')
+    match_ = re.search('/models--.+?--(.+?)/snapshots/', model_id_or_path)
+    if match_ is not None:
+        return match_.group(1)
+
+    model_name = model_id_or_path.rsplit('/', 1)[-1]
+    if platform.system().lower() == 'windows':
+        model_name = model_name.rsplit('\\', 1)[-1]
+    # compat modelscope snapshot_download
+    model_name = model_name.replace('___', '.')
+    return model_name
+
+
+def get_all_models() -> List[str]:
+    use_hf = strtobool(os.environ.get('USE_HF', 'False'))
+    models = []
+    for model_type in ModelType.get_model_name_list():
+        model_meta = MODEL_MAPPING.get(model_type)
+        if model_meta:
+            for group in model_meta.model_groups:
+                for model in group.models:
+                    if use_hf:
+                        if model.hf_model_id:
+                            models.append(model.hf_model_id)
+                    else:
+                        if model.ms_model_id:
+                            models.append(model.ms_model_id)
+    return models
+
+
+def get_matched_model_meta(model_id_or_path: str) -> Optional[ModelMeta]:
+    model_name = get_model_name(model_id_or_path).lower()
+    for model_type, model_meta in MODEL_MAPPING.items():
+        model_group = ModelMeta.get_matched_model_group(model_meta, model_name)
+        if model_group is not None:
+            model_meta = deepcopy(model_meta)
+            for k, v in asdict(model_group).items():
+                if v is not None and k in model_meta.__dict__:
+                    setattr(model_meta, k, v)
+            return model_meta
+
+
+def _get_arch_mapping():
+    res = {}
+    for model_type, model_meta in MODEL_MAPPING.items():
+        architectures = model_meta.architectures
+        if not architectures:
+            architectures.append('null')
+        for arch in architectures:
+            if arch not in res:
+                res[arch] = []
+            res[arch].append(model_type)
+    return res
+
+
+def get_matched_model_types(architectures: Optional[List[str]]) -> List[str]:
+    """Get possible model_type."""
+    architectures = architectures or ['null']
+    if architectures:
+        architectures = architectures[0]
+    arch_mapping = _get_arch_mapping()
+    return arch_mapping.get(architectures) or []
+
+
+def _read_args_json_model_type(model_dir):
+    if not os.path.exists(os.path.join(model_dir, 'args.json')):
+        return
+    from swift.llm import BaseArguments
+    args = BaseArguments.from_pretrained(model_dir)
+    return args.model_type
+
+
+def _get_model_info(model_dir: str, model_type: Optional[str], quantization_config) -> ModelInfo:
+    try:
+        config = AutoConfig.from_pretrained(model_dir, trust_remote_code=True)
+    except Exception:
+        config = PretrainedConfig.get_config_dict(model_dir)[0]
+    if quantization_config is not None:
+        HfConfigFactory.set_config_attr(config, 'quantization_config', quantization_config)
+    quant_info = HfConfigFactory.get_quant_info(config) or {}
+    torch_dtype = HfConfigFactory.get_torch_dtype(config, quant_info)
+    max_model_len = HfConfigFactory.get_max_model_len(config)
+    rope_scaling = HfConfigFactory.get_config_attr(config, 'rope_scaling')
+
+    if model_type is None:
+        model_type = _read_args_json_model_type(model_dir)
+    if model_type is None:
+        architectures = HfConfigFactory.get_config_attr(config, 'architectures')
+        model_types = get_matched_model_types(architectures)
+        if len(model_types) > 1:
+            raise ValueError('Please explicitly pass the model_type. For reference, '
+                             f'the available model_types: {model_types}.')
+        elif len(model_types) == 1:
+            model_type = model_types[0]
+    elif model_type not in MODEL_MAPPING:
+        raise ValueError(f"model_type: '{model_type}' not in {list(MODEL_MAPPING.keys())}")
+
+    res = ModelInfo(
+        model_type,
+        model_dir,
+        torch_dtype,
+        max_model_len,
+        quant_info.get('quant_method'),
+        quant_info.get('quant_bits'),
+        rope_scaling=rope_scaling)
+    return res
+
+
+def get_model_info_meta(
+        model_id_or_path: str,
+        torch_dtype: Optional[torch.dtype] = None,
+        *,
+        # hub
+        use_hf: Optional[bool] = None,
+        hub_token: Optional[str] = None,
+        revision: Optional[str] = None,
+        download_model: bool = False,
+        # model kwargs
+        model_type: Optional[str] = None,
+        quantization_config=None,
+        task_type=None,
+        num_labels=None,
+        **kwargs) -> Tuple[ModelInfo, ModelMeta]:
+    model_meta = get_matched_model_meta(model_id_or_path)
+    model_dir = safe_snapshot_download(
+        model_id_or_path,
+        revision=revision,
+        download_model=download_model,
+        use_hf=use_hf,
+        ignore_patterns=getattr(model_meta, 'ignore_patterns', None),
+        hub_token=hub_token)
+
+    model_type = model_type or getattr(model_meta, 'model_type', None)
+    model_info = _get_model_info(model_dir, model_type, quantization_config=quantization_config)
+    if model_type is None and model_info.model_type is not None:
+        model_type = model_info.model_type
+        logger.info(f'Setting model_type: {model_type}')
+    if model_meta is None and model_type is not None:
+        model_meta = MODEL_MAPPING[model_type]
+    if model_meta is None:
+        model_meta = ModelMeta(None, [], 'dummy', get_model_tokenizer_from_local, model_arch=None)
+        logger.info(f'Temporarily create model_meta: {model_meta}')
+
+    if torch_dtype is None:
+        torch_dtype = model_meta.torch_dtype or get_default_torch_dtype(model_info.torch_dtype)
+        logger.info(f'Setting torch_dtype: {torch_dtype}')
+    model_info.torch_dtype = torch_dtype
+    if task_type is None:
+        if model_meta.is_reward:
+            num_labels = 1
+        if num_labels is None:
+            task_type = 'causal_lm'
+        else:
+            task_type = 'seq_cls'
+        if task_type == 'seq_cls':
+            assert num_labels is not None, 'Please pass the parameter `num_labels`.'
+        if model_meta.task_type is not None:
+            task_type = model_meta.task_type
+    model_info.task_type = task_type
+    model_info.num_labels = num_labels
+
+    model_meta.check_requires(model_info)
+    return model_info, model_meta
+
+
+def get_model_tokenizer(
+        model_id_or_path: str,
+        torch_dtype: Optional[torch.dtype] = None,
+        device_map: Union[str, Dict[str, Any], None] = None,
+        *,
+        load_model: bool = True,
+        # hub
+        use_hf: Optional[bool] = None,
+        hub_token: Optional[str] = None,
+        revision: Optional[str] = None,
+        download_model: Optional[bool] = None,
+        # model kwargs
+        model_type: Optional[str] = None,
+        quantization_config=None,
+        max_memory: Union[str, Dict[str, Any]] = None,
+        attn_impl: Literal['flash_attn', 'sdpa', 'eager', None] = None,
+        rope_scaling: Optional[Dict[str, Any]] = None,
+        automodel_class=None,
+        task_type: Literal['causal_lm', 'seq_cls'] = None,
+        num_labels: Optional[int] = None,
+        model_kwargs: Optional[Dict[str, Any]] = None,
+        **kwargs) -> Tuple[Optional[PreTrainedModel], PreTrainedTokenizerBase]:
+    """
+    model_id_or_path: The path to the model or the model_id from modelscope/huggingface (controlled by `use_hf`).
+    torch_dtype: If you pass `None`, it will retrieve the torch_dtype from the config.json file.
+    model_kwargs: Passed to `automodel_class.from_pretrained`.
+    load_model: Whether to load the model. If set to False, the model will return `None`.
+    use_hf: Indicates whether the model download hub is modelscope or huggingface.
+    model_type: If it is not possible to uniquely determine the model_type from the architecture in config.json,
+        it needs to be provided.
+    attn_impl: If set to 'flash_attn': It will automatically convert names based on the model.
+        If set to None : It will be automatically selected between sdpa and eager.
+    download_model: Whether to download the model weights. If `None`, it will be selected based on load_model.
+    """
+    patch_mp_ddp()
+    if model_kwargs is None:
+        model_kwargs = {}
+    if download_model is None:
+        download_model = load_model
+
+    model_info, model_meta = get_model_info_meta(
+        model_id_or_path,
+        torch_dtype,
+        use_hf=use_hf,
+        hub_token=hub_token,
+        revision=revision,
+        download_model=download_model,
+        model_type=model_type,
+        quantization_config=quantization_config,
+        task_type=task_type,
+        num_labels=num_labels)
+
+    if not use_torchacc() and device_map is None:
+        device_map = get_default_device_map()
+    model_kwargs['device_map'] = device_map
+    if quantization_config:
+        model_kwargs['quantization_config'] = quantization_config
+    if max_memory:
+        model_kwargs['max_memory'] = max_memory
+    model_dir = model_info.model_dir
+    get_function = model_meta.get_function
+    kwargs['automodel_class'] = automodel_class
+    kwargs['attn_impl'] = attn_impl
+    kwargs['rope_scaling'] = rope_scaling
+    kwargs['model_meta'] = model_meta
+    with patch_get_dynamic_module(), patch_tp_plan():
+        model, processor = get_function(model_dir, model_info, model_kwargs, load_model, **kwargs)
+
+    if not isinstance(processor, PreTrainedTokenizerBase) and hasattr(processor, 'tokenizer'):
+        tokenizer = processor.tokenizer
+        patch_getattr(processor.__class__, 'tokenizer')
+    else:
+        tokenizer = processor
+    problem_type = kwargs.get('problem_type')
+    if problem_type is None and model_info.num_labels == 1:
+        problem_type = 'regression'
+    if problem_type is not None:
+        model_info.config.problem_type = problem_type
+    tokenizer.model_info = model_info
+    tokenizer.model_meta = model_meta
+
+    pad_token = tokenizer.pad_token_id
+    if pad_token is None:
+        pad_token = tokenizer.eos_token_id
+    if tokenizer.eos_token_id is None:
+        tokenizer.eos_token_id = pad_token
+    if tokenizer.pad_token_id is None:
+        tokenizer.pad_token_id = pad_token
+    assert tokenizer.eos_token_id is not None
+    assert tokenizer.pad_token_id is not None
+
+    if model is not None:
+        model.model_info = model_info
+        model.model_meta = model_meta
+        model.model_dir = model_dir
+
+        # generation_config
+        generation_config_path = os.path.join(model_dir, 'generation_config.json')
+        if not hasattr(model, 'generation_config') and os.path.isfile(generation_config_path):
+            model.generation_config = GenerationConfig.from_pretrained(model_dir)
+        # fix llama2 warning
+        if getattr(model, 'generation_config', None):
+            fix_do_sample_warning(model.generation_config)
+    return model, processor
diff --git a/ms-swift/swift/version.py b/ms-swift/swift/version.py
new file mode 100644
index 0000000000000000000000000000000000000000..debf6b02975ca62e2e009ab2584271dded1c0c4c
--- /dev/null
+++ b/ms-swift/swift/version.py
@@ -0,0 +1,5 @@
+# Make sure to modify __release_datetime__ to release time when making official release.
+__version__ = '3.5.0.dev0'
+# default release datetime for branches under active development is set
+# to be a time far-far-away-into-the-future
+__release_datetime__ = '2099-10-13 08:56:12'
diff --git a/ms-swift/tests/tuners/test_swift_device_map.py b/ms-swift/tests/tuners/test_swift_device_map.py
new file mode 100644
index 0000000000000000000000000000000000000000..6f9d8373bfef4c334085da8999aa1933ac8310e6
--- /dev/null
+++ b/ms-swift/tests/tuners/test_swift_device_map.py
@@ -0,0 +1,45 @@
+import os
+import shutil
+import tempfile
+import unittest
+
+import torch
+from modelscope import Model
+from peft.utils import WEIGHTS_NAME
+
+from swift import LoRAConfig, SwiftModel
+
+
+@unittest.skip
+class TestSwift(unittest.TestCase):
+
+    def setUp(self):
+        print(('Testing %s.%s' % (type(self).__name__, self._testMethodName)))
+        self.tmp_dir = tempfile.TemporaryDirectory().name
+        if not os.path.exists(self.tmp_dir):
+            os.makedirs(self.tmp_dir)
+
+    def tearDown(self):
+        shutil.rmtree(self.tmp_dir)
+        super().tearDown()
+
+    def test_swift_multiple_adapters(self):
+        model = Model.from_pretrained('modelscope/Llama-2-7b-ms', device_map='auto')
+        lora_config = LoRAConfig(target_modules=['q_proj', 'k_proj', 'v_proj'])
+        model: SwiftModel = SwiftModel(model, config={'lora': lora_config})
+        self.assertTrue(isinstance(model, SwiftModel))
+        model.save_pretrained(self.tmp_dir, adapter_name=['lora'])
+        state_dict = model.state_dict()
+        with open(os.path.join(self.tmp_dir, 'configuration.json'), 'w') as f:
+            f.write('{}')
+        self.assertTrue(os.path.exists(os.path.join(self.tmp_dir, 'lora')))
+        self.assertTrue(os.path.exists(os.path.join(self.tmp_dir, 'lora', WEIGHTS_NAME)))
+        model = Model.from_pretrained('modelscope/Llama-2-7b-ms', device_map='auto')
+        model = SwiftModel.from_pretrained(model, self.tmp_dir, adapter_name=['lora'], device_map='auto')
+
+        state_dict2 = model.state_dict()
+        for key in state_dict:
+            self.assertTrue(key in state_dict2)
+            self.assertTrue(all(torch.isclose(state_dict[key], state_dict2[key]).flatten().detach().cpu()))
+
+        self.assertTrue(len(set(model.hf_device_map.values())) == torch.cuda.device_count())