generated derivative; upstream annotation/source license not asserted

The project meeting moved to Thursday morning after the deployment review. Batch number 0.


A small batch of audio samples is enough for the first validation pass. Batch number 1.


Please label the transcript carefully and keep the original file name. Batch number 2.


The model should emit partial words only when the timing evidence is reliable. Batch number 3.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 4.


The speaker paused briefly before asking for a translation of the sentence. Batch number 5.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 6.


The assistant should stay silent while the user is still talking. Batch number 7.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 8.


The validation report lists missing sources separately from failed rows. Batch number 9.


The project meeting moved to Thursday morning after the deployment review. Batch number 10.


A small batch of audio samples is enough for the first validation pass. Batch number 11.


Please label the transcript carefully and keep the original file name. Batch number 12.


The model should emit partial words only when the timing evidence is reliable. Batch number 13.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 14.


The speaker paused briefly before asking for a translation of the sentence. Batch number 15.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 16.


The assistant should stay silent while the user is still talking. Batch number 17.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 18.


The validation report lists missing sources separately from failed rows. Batch number 19.


The project meeting moved to Thursday morning after the deployment review. Batch number 20.


A small batch of audio samples is enough for the first validation pass. Batch number 21.


Please label the transcript carefully and keep the original file name. Batch number 22.


The model should emit partial words only when the timing evidence is reliable. Batch number 23.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 24.


The speaker paused briefly before asking for a translation of the sentence. Batch number 25.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 26.


The assistant should stay silent while the user is still talking. Batch number 27.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 28.


The validation report lists missing sources separately from failed rows. Batch number 29.


The project meeting moved to Thursday morning after the deployment review. Batch number 30.


A small batch of audio samples is enough for the first validation pass. Batch number 31.


Please label the transcript carefully and keep the original file name. Batch number 32.


The model should emit partial words only when the timing evidence is reliable. Batch number 33.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 34.


The speaker paused briefly before asking for a translation of the sentence. Batch number 35.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 36.


The assistant should stay silent while the user is still talking. Batch number 37.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 38.


The validation report lists missing sources separately from failed rows. Batch number 39.


The project meeting moved to Thursday morning after the deployment review. Batch number 40.


A small batch of audio samples is enough for the first validation pass. Batch number 41.


Please label the transcript carefully and keep the original file name. Batch number 42.


The model should emit partial words only when the timing evidence is reliable. Batch number 43.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 44.


The speaker paused briefly before asking for a translation of the sentence. Batch number 45.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 46.


The assistant should stay silent while the user is still talking. Batch number 47.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 48.


The validation report lists missing sources separately from failed rows. Batch number 49.


The project meeting moved to Thursday morning after the deployment review. Batch number 50.


A small batch of audio samples is enough for the first validation pass. Batch number 51.


Please label the transcript carefully and keep the original file name. Batch number 52.


The model should emit partial words only when the timing evidence is reliable. Batch number 53.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 54.


The speaker paused briefly before asking for a translation of the sentence. Batch number 55.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 56.


The assistant should stay silent while the user is still talking. Batch number 57.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 58.


The validation report lists missing sources separately from failed rows. Batch number 59.


The project meeting moved to Thursday morning after the deployment review. Batch number 60.


A small batch of audio samples is enough for the first validation pass. Batch number 61.


Please label the transcript carefully and keep the original file name. Batch number 62.


The model should emit partial words only when the timing evidence is reliable. Batch number 63.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 64.


The speaker paused briefly before asking for a translation of the sentence. Batch number 65.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 66.


The assistant should stay silent while the user is still talking. Batch number 67.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 68.


The validation report lists missing sources separately from failed rows. Batch number 69.


The project meeting moved to Thursday morning after the deployment review. Batch number 70.


A small batch of audio samples is enough for the first validation pass. Batch number 71.


Please label the transcript carefully and keep the original file name. Batch number 72.


The model should emit partial words only when the timing evidence is reliable. Batch number 73.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 74.


The speaker paused briefly before asking for a translation of the sentence. Batch number 75.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 76.


The assistant should stay silent while the user is still talking. Batch number 77.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 78.


The validation report lists missing sources separately from failed rows. Batch number 79.


The project meeting moved to Thursday morning after the deployment review. Batch number 80.


A small batch of audio samples is enough for the first validation pass. Batch number 81.


Please label the transcript carefully and keep the original file name. Batch number 82.


The model should emit partial words only when the timing evidence is reliable. Batch number 83.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 84.


The speaker paused briefly before asking for a translation of the sentence. Batch number 85.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 86.


The assistant should stay silent while the user is still talking. Batch number 87.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 88.


The validation report lists missing sources separately from failed rows. Batch number 89.


The project meeting moved to Thursday morning after the deployment review. Batch number 90.


A small batch of audio samples is enough for the first validation pass. Batch number 91.


Please label the transcript carefully and keep the original file name. Batch number 92.


The model should emit partial words only when the timing evidence is reliable. Batch number 93.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 94.


The speaker paused briefly before asking for a translation of the sentence. Batch number 95.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 96.


The assistant should stay silent while the user is still talking. Batch number 97.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 98.


The validation report lists missing sources separately from failed rows. Batch number 99.


The project meeting moved to Thursday morning after the deployment review. Batch number 0.


A small batch of audio samples is enough for the first validation pass. Batch number 1.


Please label the transcript carefully and keep the original file name. Batch number 2.


The model should emit partial words only when the timing evidence is reliable. Batch number 3.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 4.


The speaker paused briefly before asking for a translation of the sentence. Batch number 5.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 6.


The assistant should stay silent while the user is still talking. Batch number 7.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 8.


The validation report lists missing sources separately from failed rows. Batch number 9.


The project meeting moved to Thursday morning after the deployment review. Batch number 10.


A small batch of audio samples is enough for the first validation pass. Batch number 11.


Please label the transcript carefully and keep the original file name. Batch number 12.


The model should emit partial words only when the timing evidence is reliable. Batch number 13.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 14.


The speaker paused briefly before asking for a translation of the sentence. Batch number 15.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 16.


The assistant should stay silent while the user is still talking. Batch number 17.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 18.


The validation report lists missing sources separately from failed rows. Batch number 19.


The project meeting moved to Thursday morning after the deployment review. Batch number 20.


A small batch of audio samples is enough for the first validation pass. Batch number 21.


Please label the transcript carefully and keep the original file name. Batch number 22.


The model should emit partial words only when the timing evidence is reliable. Batch number 23.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 24.


The speaker paused briefly before asking for a translation of the sentence. Batch number 25.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 26.


The assistant should stay silent while the user is still talking. Batch number 27.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 28.


The validation report lists missing sources separately from failed rows. Batch number 29.


The project meeting moved to Thursday morning after the deployment review. Batch number 30.


A small batch of audio samples is enough for the first validation pass. Batch number 31.


Please label the transcript carefully and keep the original file name. Batch number 32.


The model should emit partial words only when the timing evidence is reliable. Batch number 33.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 34.


The speaker paused briefly before asking for a translation of the sentence. Batch number 35.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 36.


The assistant should stay silent while the user is still talking. Batch number 37.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 38.


The validation report lists missing sources separately from failed rows. Batch number 39.


The project meeting moved to Thursday morning after the deployment review. Batch number 40.


A small batch of audio samples is enough for the first validation pass. Batch number 41.


Please label the transcript carefully and keep the original file name. Batch number 42.


The model should emit partial words only when the timing evidence is reliable. Batch number 43.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 44.


The speaker paused briefly before asking for a translation of the sentence. Batch number 45.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 46.


The assistant should stay silent while the user is still talking. Batch number 47.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 48.


The validation report lists missing sources separately from failed rows. Batch number 49.


The project meeting moved to Thursday morning after the deployment review. Batch number 50.


A small batch of audio samples is enough for the first validation pass. Batch number 51.


Please label the transcript carefully and keep the original file name. Batch number 52.


The model should emit partial words only when the timing evidence is reliable. Batch number 53.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 54.


The speaker paused briefly before asking for a translation of the sentence. Batch number 55.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 56.


The assistant should stay silent while the user is still talking. Batch number 57.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 58.


The validation report lists missing sources separately from failed rows. Batch number 59.


The project meeting moved to Thursday morning after the deployment review. Batch number 60.


A small batch of audio samples is enough for the first validation pass. Batch number 61.


Please label the transcript carefully and keep the original file name. Batch number 62.


The model should emit partial words only when the timing evidence is reliable. Batch number 63.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 64.


The speaker paused briefly before asking for a translation of the sentence. Batch number 65.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 66.


The assistant should stay silent while the user is still talking. Batch number 67.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 68.


The validation report lists missing sources separately from failed rows. Batch number 69.


The project meeting moved to Thursday morning after the deployment review. Batch number 70.


A small batch of audio samples is enough for the first validation pass. Batch number 71.


Please label the transcript carefully and keep the original file name. Batch number 72.


The model should emit partial words only when the timing evidence is reliable. Batch number 73.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 74.


The speaker paused briefly before asking for a translation of the sentence. Batch number 75.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 76.


The assistant should stay silent while the user is still talking. Batch number 77.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 78.


The validation report lists missing sources separately from failed rows. Batch number 79.


The project meeting moved to Thursday morning after the deployment review. Batch number 80.


A small batch of audio samples is enough for the first validation pass. Batch number 81.


Please label the transcript carefully and keep the original file name. Batch number 82.


The model should emit partial words only when the timing evidence is reliable. Batch number 83.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 84.


The speaker paused briefly before asking for a translation of the sentence. Batch number 85.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 86.


The assistant should stay silent while the user is still talking. Batch number 87.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 88.


The validation report lists missing sources separately from failed rows. Batch number 89.


The project meeting moved to Thursday morning after the deployment review. Batch number 90.


A small batch of audio samples is enough for the first validation pass. Batch number 91.


Please label the transcript carefully and keep the original file name. Batch number 92.


The model should emit partial words only when the timing evidence is reliable. Batch number 93.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 94.


The speaker paused briefly before asking for a translation of the sentence. Batch number 95.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 96.


The assistant should stay silent while the user is still talking. Batch number 97.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 98.


The validation report lists missing sources separately from failed rows. Batch number 99.


The project meeting moved to Thursday morning after the deployment review. Batch number 0.


A small batch of audio samples is enough for the first validation pass. Batch number 1.


Please label the transcript carefully and keep the original file name. Batch number 2.


The model should emit partial words only when the timing evidence is reliable. Batch number 3.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 4.


The speaker paused briefly before asking for a translation of the sentence. Batch number 5.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 6.


The assistant should stay silent while the user is still talking. Batch number 7.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 8.


The validation report lists missing sources separately from failed rows. Batch number 9.


The project meeting moved to Thursday morning after the deployment review. Batch number 10.


A small batch of audio samples is enough for the first validation pass. Batch number 11.


Please label the transcript carefully and keep the original file name. Batch number 12.


The model should emit partial words only when the timing evidence is reliable. Batch number 13.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 14.


The speaker paused briefly before asking for a translation of the sentence. Batch number 15.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 16.


The assistant should stay silent while the user is still talking. Batch number 17.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 18.


The validation report lists missing sources separately from failed rows. Batch number 19.


The project meeting moved to Thursday morning after the deployment review. Batch number 20.


A small batch of audio samples is enough for the first validation pass. Batch number 21.


Please label the transcript carefully and keep the original file name. Batch number 22.


The model should emit partial words only when the timing evidence is reliable. Batch number 23.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 24.


The speaker paused briefly before asking for a translation of the sentence. Batch number 25.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 26.


The assistant should stay silent while the user is still talking. Batch number 27.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 28.


The validation report lists missing sources separately from failed rows. Batch number 29.


The project meeting moved to Thursday morning after the deployment review. Batch number 30.


A small batch of audio samples is enough for the first validation pass. Batch number 31.


Please label the transcript carefully and keep the original file name. Batch number 32.


The model should emit partial words only when the timing evidence is reliable. Batch number 33.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 34.


The speaker paused briefly before asking for a translation of the sentence. Batch number 35.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 36.


The assistant should stay silent while the user is still talking. Batch number 37.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 38.


The validation report lists missing sources separately from failed rows. Batch number 39.


The project meeting moved to Thursday morning after the deployment review. Batch number 40.


A small batch of audio samples is enough for the first validation pass. Batch number 41.


Please label the transcript carefully and keep the original file name. Batch number 42.


The model should emit partial words only when the timing evidence is reliable. Batch number 43.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 44.


The speaker paused briefly before asking for a translation of the sentence. Batch number 45.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 46.


The assistant should stay silent while the user is still talking. Batch number 47.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 48.


The validation report lists missing sources separately from failed rows. Batch number 49.


The project meeting moved to Thursday morning after the deployment review. Batch number 50.


A small batch of audio samples is enough for the first validation pass. Batch number 51.


Please label the transcript carefully and keep the original file name. Batch number 52.


The model should emit partial words only when the timing evidence is reliable. Batch number 53.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 54.


The speaker paused briefly before asking for a translation of the sentence. Batch number 55.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 56.


The assistant should stay silent while the user is still talking. Batch number 57.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 58.


The validation report lists missing sources separately from failed rows. Batch number 59.


The project meeting moved to Thursday morning after the deployment review. Batch number 60.


A small batch of audio samples is enough for the first validation pass. Batch number 61.


Please label the transcript carefully and keep the original file name. Batch number 62.


The model should emit partial words only when the timing evidence is reliable. Batch number 63.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 64.


The speaker paused briefly before asking for a translation of the sentence. Batch number 65.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 66.


The assistant should stay silent while the user is still talking. Batch number 67.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 68.


The validation report lists missing sources separately from failed rows. Batch number 69.


The project meeting moved to Thursday morning after the deployment review. Batch number 70.


A small batch of audio samples is enough for the first validation pass. Batch number 71.


Please label the transcript carefully and keep the original file name. Batch number 72.


The model should emit partial words only when the timing evidence is reliable. Batch number 73.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 74.


The speaker paused briefly before asking for a translation of the sentence. Batch number 75.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 76.


The assistant should stay silent while the user is still talking. Batch number 77.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 78.


The validation report lists missing sources separately from failed rows. Batch number 79.


The project meeting moved to Thursday morning after the deployment review. Batch number 80.


A small batch of audio samples is enough for the first validation pass. Batch number 81.


Please label the transcript carefully and keep the original file name. Batch number 82.


The model should emit partial words only when the timing evidence is reliable. Batch number 83.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 84.


The speaker paused briefly before asking for a translation of the sentence. Batch number 85.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 86.


The assistant should stay silent while the user is still talking. Batch number 87.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 88.


The validation report lists missing sources separately from failed rows. Batch number 89.


The project meeting moved to Thursday morning after the deployment review. Batch number 90.


A small batch of audio samples is enough for the first validation pass. Batch number 91.


Please label the transcript carefully and keep the original file name. Batch number 92.


The model should emit partial words only when the timing evidence is reliable. Batch number 93.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 94.


The speaker paused briefly before asking for a translation of the sentence. Batch number 95.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 96.


The assistant should stay silent while the user is still talking. Batch number 97.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 98.


The validation report lists missing sources separately from failed rows. Batch number 99.


The project meeting moved to Thursday morning after the deployment review. Batch number 0.


A small batch of audio samples is enough for the first validation pass. Batch number 1.


Please label the transcript carefully and keep the original file name. Batch number 2.


The model should emit partial words only when the timing evidence is reliable. Batch number 3.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 4.


The speaker paused briefly before asking for a translation of the sentence. Batch number 5.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 6.


The assistant should stay silent while the user is still talking. Batch number 7.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 8.


The validation report lists missing sources separately from failed rows. Batch number 9.


The project meeting moved to Thursday morning after the deployment review. Batch number 10.


A small batch of audio samples is enough for the first validation pass. Batch number 11.


Please label the transcript carefully and keep the original file name. Batch number 12.


The model should emit partial words only when the timing evidence is reliable. Batch number 13.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 14.


The speaker paused briefly before asking for a translation of the sentence. Batch number 15.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 16.


The assistant should stay silent while the user is still talking. Batch number 17.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 18.


The validation report lists missing sources separately from failed rows. Batch number 19.


The project meeting moved to Thursday morning after the deployment review. Batch number 20.


A small batch of audio samples is enough for the first validation pass. Batch number 21.


Please label the transcript carefully and keep the original file name. Batch number 22.


The model should emit partial words only when the timing evidence is reliable. Batch number 23.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 24.


The speaker paused briefly before asking for a translation of the sentence. Batch number 25.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 26.


The assistant should stay silent while the user is still talking. Batch number 27.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 28.


The validation report lists missing sources separately from failed rows. Batch number 29.


The project meeting moved to Thursday morning after the deployment review. Batch number 30.


A small batch of audio samples is enough for the first validation pass. Batch number 31.


Please label the transcript carefully and keep the original file name. Batch number 32.


The model should emit partial words only when the timing evidence is reliable. Batch number 33.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 34.


The speaker paused briefly before asking for a translation of the sentence. Batch number 35.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 36.


The assistant should stay silent while the user is still talking. Batch number 37.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 38.


The validation report lists missing sources separately from failed rows. Batch number 39.


The project meeting moved to Thursday morning after the deployment review. Batch number 40.


A small batch of audio samples is enough for the first validation pass. Batch number 41.


Please label the transcript carefully and keep the original file name. Batch number 42.


The model should emit partial words only when the timing evidence is reliable. Batch number 43.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 44.


The speaker paused briefly before asking for a translation of the sentence. Batch number 45.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 46.


The assistant should stay silent while the user is still talking. Batch number 47.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 48.


The validation report lists missing sources separately from failed rows. Batch number 49.


The project meeting moved to Thursday morning after the deployment review. Batch number 50.


A small batch of audio samples is enough for the first validation pass. Batch number 51.


Please label the transcript carefully and keep the original file name. Batch number 52.


The model should emit partial words only when the timing evidence is reliable. Batch number 53.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 54.


The speaker paused briefly before asking for a translation of the sentence. Batch number 55.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 56.


The assistant should stay silent while the user is still talking. Batch number 57.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 58.


The validation report lists missing sources separately from failed rows. Batch number 59.


The project meeting moved to Thursday morning after the deployment review. Batch number 60.


A small batch of audio samples is enough for the first validation pass. Batch number 61.


Please label the transcript carefully and keep the original file name. Batch number 62.


The model should emit partial words only when the timing evidence is reliable. Batch number 63.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 64.


The speaker paused briefly before asking for a translation of the sentence. Batch number 65.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 66.


The assistant should stay silent while the user is still talking. Batch number 67.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 68.


The validation report lists missing sources separately from failed rows. Batch number 69.


The project meeting moved to Thursday morning after the deployment review. Batch number 70.


A small batch of audio samples is enough for the first validation pass. Batch number 71.


Please label the transcript carefully and keep the original file name. Batch number 72.


The model should emit partial words only when the timing evidence is reliable. Batch number 73.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 74.


The speaker paused briefly before asking for a translation of the sentence. Batch number 75.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 76.


The assistant should stay silent while the user is still talking. Batch number 77.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 78.


The validation report lists missing sources separately from failed rows. Batch number 79.


The project meeting moved to Thursday morning after the deployment review. Batch number 80.


A small batch of audio samples is enough for the first validation pass. Batch number 81.


Please label the transcript carefully and keep the original file name. Batch number 82.


The model should emit partial words only when the timing evidence is reliable. Batch number 83.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 84.


The speaker paused briefly before asking for a translation of the sentence. Batch number 85.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 86.


The assistant should stay silent while the user is still talking. Batch number 87.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 88.


The validation report lists missing sources separately from failed rows. Batch number 89.


The project meeting moved to Thursday morning after the deployment review. Batch number 90.


A small batch of audio samples is enough for the first validation pass. Batch number 91.


Please label the transcript carefully and keep the original file name. Batch number 92.


The model should emit partial words only when the timing evidence is reliable. Batch number 93.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 94.


The speaker paused briefly before asking for a translation of the sentence. Batch number 95.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 96.


The assistant should stay silent while the user is still talking. Batch number 97.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 98.


The validation report lists missing sources separately from failed rows. Batch number 99.


The project meeting moved to Thursday morning after the deployment review. Batch number 0.


A small batch of audio samples is enough for the first validation pass. Batch number 1.


Please label the transcript carefully and keep the original file name. Batch number 2.


The model should emit partial words only when the timing evidence is reliable. Batch number 3.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 4.


The speaker paused briefly before asking for a translation of the sentence. Batch number 5.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 6.


The assistant should stay silent while the user is still talking. Batch number 7.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 8.


The validation report lists missing sources separately from failed rows. Batch number 9.


The project meeting moved to Thursday morning after the deployment review. Batch number 10.


A small batch of audio samples is enough for the first validation pass. Batch number 11.


Please label the transcript carefully and keep the original file name. Batch number 12.


The model should emit partial words only when the timing evidence is reliable. Batch number 13.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 14.


The speaker paused briefly before asking for a translation of the sentence. Batch number 15.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 16.


The assistant should stay silent while the user is still talking. Batch number 17.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 18.


The validation report lists missing sources separately from failed rows. Batch number 19.


The project meeting moved to Thursday morning after the deployment review. Batch number 20.


A small batch of audio samples is enough for the first validation pass. Batch number 21.


Please label the transcript carefully and keep the original file name. Batch number 22.


The model should emit partial words only when the timing evidence is reliable. Batch number 23.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 24.


The speaker paused briefly before asking for a translation of the sentence. Batch number 25.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 26.


The assistant should stay silent while the user is still talking. Batch number 27.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 28.


The validation report lists missing sources separately from failed rows. Batch number 29.


The project meeting moved to Thursday morning after the deployment review. Batch number 30.


A small batch of audio samples is enough for the first validation pass. Batch number 31.


Please label the transcript carefully and keep the original file name. Batch number 32.


The model should emit partial words only when the timing evidence is reliable. Batch number 33.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 34.


The speaker paused briefly before asking for a translation of the sentence. Batch number 35.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 36.


The assistant should stay silent while the user is still talking. Batch number 37.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 38.


The validation report lists missing sources separately from failed rows. Batch number 39.


The project meeting moved to Thursday morning after the deployment review. Batch number 40.


A small batch of audio samples is enough for the first validation pass. Batch number 41.


Please label the transcript carefully and keep the original file name. Batch number 42.


The model should emit partial words only when the timing evidence is reliable. Batch number 43.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 44.


The speaker paused briefly before asking for a translation of the sentence. Batch number 45.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 46.


The assistant should stay silent while the user is still talking. Batch number 47.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 48.


The validation report lists missing sources separately from failed rows. Batch number 49.


The project meeting moved to Thursday morning after the deployment review. Batch number 50.


A small batch of audio samples is enough for the first validation pass. Batch number 51.


Please label the transcript carefully and keep the original file name. Batch number 52.


The model should emit partial words only when the timing evidence is reliable. Batch number 53.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 54.


The speaker paused briefly before asking for a translation of the sentence. Batch number 55.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 56.


The assistant should stay silent while the user is still talking. Batch number 57.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 58.


The validation report lists missing sources separately from failed rows. Batch number 59.


The project meeting moved to Thursday morning after the deployment review. Batch number 60.


A small batch of audio samples is enough for the first validation pass. Batch number 61.


Please label the transcript carefully and keep the original file name. Batch number 62.


The model should emit partial words only when the timing evidence is reliable. Batch number 63.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 64.


The speaker paused briefly before asking for a translation of the sentence. Batch number 65.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 66.


The assistant should stay silent while the user is still talking. Batch number 67.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 68.


The validation report lists missing sources separately from failed rows. Batch number 69.


The project meeting moved to Thursday morning after the deployment review. Batch number 70.


A small batch of audio samples is enough for the first validation pass. Batch number 71.


Please label the transcript carefully and keep the original file name. Batch number 72.


The model should emit partial words only when the timing evidence is reliable. Batch number 73.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 74.


The speaker paused briefly before asking for a translation of the sentence. Batch number 75.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 76.


The assistant should stay silent while the user is still talking. Batch number 77.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 78.


The validation report lists missing sources separately from failed rows. Batch number 79.


The project meeting moved to Thursday morning after the deployment review. Batch number 80.


A small batch of audio samples is enough for the first validation pass. Batch number 81.


Please label the transcript carefully and keep the original file name. Batch number 82.


The model should emit partial words only when the timing evidence is reliable. Batch number 83.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 84.


The speaker paused briefly before asking for a translation of the sentence. Batch number 85.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 86.


The assistant should stay silent while the user is still talking. Batch number 87.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 88.


The validation report lists missing sources separately from failed rows. Batch number 89.


The project meeting moved to Thursday morning after the deployment review. Batch number 90.


A small batch of audio samples is enough for the first validation pass. Batch number 91.


Please label the transcript carefully and keep the original file name. Batch number 92.


The model should emit partial words only when the timing evidence is reliable. Batch number 93.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 94.


The speaker paused briefly before asking for a translation of the sentence. Batch number 95.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 96.


The assistant should stay silent while the user is still talking. Batch number 97.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 98.


The validation report lists missing sources separately from failed rows. Batch number 99.


The project meeting moved to Thursday morning after the deployment review. Batch number 0.


A small batch of audio samples is enough for the first validation pass. Batch number 1.


Please label the transcript carefully and keep the original file name. Batch number 2.


The model should emit partial words only when the timing evidence is reliable. Batch number 3.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 4.


The speaker paused briefly before asking for a translation of the sentence. Batch number 5.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 6.


The assistant should stay silent while the user is still talking. Batch number 7.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 8.


The validation report lists missing sources separately from failed rows. Batch number 9.


The project meeting moved to Thursday morning after the deployment review. Batch number 10.


A small batch of audio samples is enough for the first validation pass. Batch number 11.


Please label the transcript carefully and keep the original file name. Batch number 12.


The model should emit partial words only when the timing evidence is reliable. Batch number 13.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 14.


The speaker paused briefly before asking for a translation of the sentence. Batch number 15.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 16.


The assistant should stay silent while the user is still talking. Batch number 17.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 18.


The validation report lists missing sources separately from failed rows. Batch number 19.


The project meeting moved to Thursday morning after the deployment review. Batch number 20.


A small batch of audio samples is enough for the first validation pass. Batch number 21.


Please label the transcript carefully and keep the original file name. Batch number 22.


The model should emit partial words only when the timing evidence is reliable. Batch number 23.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 24.


The speaker paused briefly before asking for a translation of the sentence. Batch number 25.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 26.


The assistant should stay silent while the user is still talking. Batch number 27.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 28.


The validation report lists missing sources separately from failed rows. Batch number 29.


The project meeting moved to Thursday morning after the deployment review. Batch number 30.


A small batch of audio samples is enough for the first validation pass. Batch number 31.


Please label the transcript carefully and keep the original file name. Batch number 32.


The model should emit partial words only when the timing evidence is reliable. Batch number 33.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 34.


The speaker paused briefly before asking for a translation of the sentence. Batch number 35.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 36.


The assistant should stay silent while the user is still talking. Batch number 37.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 38.


The validation report lists missing sources separately from failed rows. Batch number 39.


The project meeting moved to Thursday morning after the deployment review. Batch number 40.


A small batch of audio samples is enough for the first validation pass. Batch number 41.


Please label the transcript carefully and keep the original file name. Batch number 42.


The model should emit partial words only when the timing evidence is reliable. Batch number 43.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 44.


The speaker paused briefly before asking for a translation of the sentence. Batch number 45.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 46.


The assistant should stay silent while the user is still talking. Batch number 47.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 48.


The validation report lists missing sources separately from failed rows. Batch number 49.


The project meeting moved to Thursday morning after the deployment review. Batch number 50.


A small batch of audio samples is enough for the first validation pass. Batch number 51.


Please label the transcript carefully and keep the original file name. Batch number 52.


The model should emit partial words only when the timing evidence is reliable. Batch number 53.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 54.


The speaker paused briefly before asking for a translation of the sentence. Batch number 55.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 56.


The assistant should stay silent while the user is still talking. Batch number 57.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 58.


The validation report lists missing sources separately from failed rows. Batch number 59.


The project meeting moved to Thursday morning after the deployment review. Batch number 60.


A small batch of audio samples is enough for the first validation pass. Batch number 61.


Please label the transcript carefully and keep the original file name. Batch number 62.


The model should emit partial words only when the timing evidence is reliable. Batch number 63.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 64.


The speaker paused briefly before asking for a translation of the sentence. Batch number 65.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 66.


The assistant should stay silent while the user is still talking. Batch number 67.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 68.


The validation report lists missing sources separately from failed rows. Batch number 69.


The project meeting moved to Thursday morning after the deployment review. Batch number 70.


A small batch of audio samples is enough for the first validation pass. Batch number 71.


Please label the transcript carefully and keep the original file name. Batch number 72.


The model should emit partial words only when the timing evidence is reliable. Batch number 73.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 74.


The speaker paused briefly before asking for a translation of the sentence. Batch number 75.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 76.


The assistant should stay silent while the user is still talking. Batch number 77.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 78.


The validation report lists missing sources separately from failed rows. Batch number 79.


The project meeting moved to Thursday morning after the deployment review. Batch number 80.


A small batch of audio samples is enough for the first validation pass. Batch number 81.


Please label the transcript carefully and keep the original file name. Batch number 82.


The model should emit partial words only when the timing evidence is reliable. Batch number 83.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 84.


The speaker paused briefly before asking for a translation of the sentence. Batch number 85.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 86.


The assistant should stay silent while the user is still talking. Batch number 87.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 88.


The validation report lists missing sources separately from failed rows. Batch number 89.


The project meeting moved to Thursday morning after the deployment review. Batch number 90.


A small batch of audio samples is enough for the first validation pass. Batch number 91.


Please label the transcript carefully and keep the original file name. Batch number 92.


The model should emit partial words only when the timing evidence is reliable. Batch number 93.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 94.


The speaker paused briefly before asking for a translation of the sentence. Batch number 95.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 96.


The assistant should stay silent while the user is still talking. Batch number 97.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 98.


The validation report lists missing sources separately from failed rows. Batch number 99.


The project meeting moved to Thursday morning after the deployment review. Batch number 0.


A small batch of audio samples is enough for the first validation pass. Batch number 1.


Please label the transcript carefully and keep the original file name. Batch number 2.


The model should emit partial words only when the timing evidence is reliable. Batch number 3.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 4.


The speaker paused briefly before asking for a translation of the sentence. Batch number 5.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 6.


The assistant should stay silent while the user is still talking. Batch number 7.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 8.


The validation report lists missing sources separately from failed rows. Batch number 9.


The project meeting moved to Thursday morning after the deployment review. Batch number 10.


A small batch of audio samples is enough for the first validation pass. Batch number 11.


Please label the transcript carefully and keep the original file name. Batch number 12.


The model should emit partial words only when the timing evidence is reliable. Batch number 13.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 14.


The speaker paused briefly before asking for a translation of the sentence. Batch number 15.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 16.


The assistant should stay silent while the user is still talking. Batch number 17.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 18.


The validation report lists missing sources separately from failed rows. Batch number 19.


The project meeting moved to Thursday morning after the deployment review. Batch number 20.


A small batch of audio samples is enough for the first validation pass. Batch number 21.


Please label the transcript carefully and keep the original file name. Batch number 22.


The model should emit partial words only when the timing evidence is reliable. Batch number 23.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 24.


The speaker paused briefly before asking for a translation of the sentence. Batch number 25.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 26.


The assistant should stay silent while the user is still talking. Batch number 27.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 28.


The validation report lists missing sources separately from failed rows. Batch number 29.


The project meeting moved to Thursday morning after the deployment review. Batch number 30.


A small batch of audio samples is enough for the first validation pass. Batch number 31.


Please label the transcript carefully and keep the original file name. Batch number 32.


The model should emit partial words only when the timing evidence is reliable. Batch number 33.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 34.


The speaker paused briefly before asking for a translation of the sentence. Batch number 35.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 36.


The assistant should stay silent while the user is still talking. Batch number 37.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 38.


The validation report lists missing sources separately from failed rows. Batch number 39.


The project meeting moved to Thursday morning after the deployment review. Batch number 40.


A small batch of audio samples is enough for the first validation pass. Batch number 41.


Please label the transcript carefully and keep the original file name. Batch number 42.


The model should emit partial words only when the timing evidence is reliable. Batch number 43.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 44.


The speaker paused briefly before asking for a translation of the sentence. Batch number 45.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 46.


The assistant should stay silent while the user is still talking. Batch number 47.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 48.


The validation report lists missing sources separately from failed rows. Batch number 49.


The project meeting moved to Thursday morning after the deployment review. Batch number 50.


A small batch of audio samples is enough for the first validation pass. Batch number 51.


Please label the transcript carefully and keep the original file name. Batch number 52.


The model should emit partial words only when the timing evidence is reliable. Batch number 53.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 54.


The speaker paused briefly before asking for a translation of the sentence. Batch number 55.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 56.


The assistant should stay silent while the user is still talking. Batch number 57.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 58.


The validation report lists missing sources separately from failed rows. Batch number 59.


The project meeting moved to Thursday morning after the deployment review. Batch number 60.


A small batch of audio samples is enough for the first validation pass. Batch number 61.


Please label the transcript carefully and keep the original file name. Batch number 62.


The model should emit partial words only when the timing evidence is reliable. Batch number 63.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 64.


The speaker paused briefly before asking for a translation of the sentence. Batch number 65.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 66.


The assistant should stay silent while the user is still talking. Batch number 67.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 68.


The validation report lists missing sources separately from failed rows. Batch number 69.


The project meeting moved to Thursday morning after the deployment review. Batch number 70.


A small batch of audio samples is enough for the first validation pass. Batch number 71.


Please label the transcript carefully and keep the original file name. Batch number 72.


The model should emit partial words only when the timing evidence is reliable. Batch number 73.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 74.


The speaker paused briefly before asking for a translation of the sentence. Batch number 75.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 76.


The assistant should stay silent while the user is still talking. Batch number 77.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 78.


The validation report lists missing sources separately from failed rows. Batch number 79.


The project meeting moved to Thursday morning after the deployment review. Batch number 80.


A small batch of audio samples is enough for the first validation pass. Batch number 81.


Please label the transcript carefully and keep the original file name. Batch number 82.


The model should emit partial words only when the timing evidence is reliable. Batch number 83.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 84.


The speaker paused briefly before asking for a translation of the sentence. Batch number 85.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 86.


The assistant should stay silent while the user is still talking. Batch number 87.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 88.


The validation report lists missing sources separately from failed rows. Batch number 89.


The project meeting moved to Thursday morning after the deployment review. Batch number 90.


A small batch of audio samples is enough for the first validation pass. Batch number 91.


Please label the transcript carefully and keep the original file name. Batch number 92.


The model should emit partial words only when the timing evidence is reliable. Batch number 93.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 94.


The speaker paused briefly before asking for a translation of the sentence. Batch number 95.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 96.


The assistant should stay silent while the user is still talking. Batch number 97.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 98.


The validation report lists missing sources separately from failed rows. Batch number 99.


The project meeting moved to Thursday morning after the deployment review. Batch number 0.


A small batch of audio samples is enough for the first validation pass. Batch number 1.


Please label the transcript carefully and keep the original file name. Batch number 2.


The model should emit partial words only when the timing evidence is reliable. Batch number 3.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 4.


The speaker paused briefly before asking for a translation of the sentence. Batch number 5.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 6.


The assistant should stay silent while the user is still talking. Batch number 7.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 8.


The validation report lists missing sources separately from failed rows. Batch number 9.


The project meeting moved to Thursday morning after the deployment review. Batch number 10.


A small batch of audio samples is enough for the first validation pass. Batch number 11.


Please label the transcript carefully and keep the original file name. Batch number 12.


The model should emit partial words only when the timing evidence is reliable. Batch number 13.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 14.


The speaker paused briefly before asking for a translation of the sentence. Batch number 15.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 16.


The assistant should stay silent while the user is still talking. Batch number 17.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 18.


The validation report lists missing sources separately from failed rows. Batch number 19.


The project meeting moved to Thursday morning after the deployment review. Batch number 20.


A small batch of audio samples is enough for the first validation pass. Batch number 21.


Please label the transcript carefully and keep the original file name. Batch number 22.


The model should emit partial words only when the timing evidence is reliable. Batch number 23.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 24.


The speaker paused briefly before asking for a translation of the sentence. Batch number 25.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 26.


The assistant should stay silent while the user is still talking. Batch number 27.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 28.


The validation report lists missing sources separately from failed rows. Batch number 29.


The project meeting moved to Thursday morning after the deployment review. Batch number 30.


A small batch of audio samples is enough for the first validation pass. Batch number 31.


Please label the transcript carefully and keep the original file name. Batch number 32.


The model should emit partial words only when the timing evidence is reliable. Batch number 33.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 34.


The speaker paused briefly before asking for a translation of the sentence. Batch number 35.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 36.


The assistant should stay silent while the user is still talking. Batch number 37.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 38.


The validation report lists missing sources separately from failed rows. Batch number 39.


The project meeting moved to Thursday morning after the deployment review. Batch number 40.


A small batch of audio samples is enough for the first validation pass. Batch number 41.


Please label the transcript carefully and keep the original file name. Batch number 42.


The model should emit partial words only when the timing evidence is reliable. Batch number 43.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 44.


The speaker paused briefly before asking for a translation of the sentence. Batch number 45.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 46.


The assistant should stay silent while the user is still talking. Batch number 47.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 48.


The validation report lists missing sources separately from failed rows. Batch number 49.


The project meeting moved to Thursday morning after the deployment review. Batch number 50.


A small batch of audio samples is enough for the first validation pass. Batch number 51.


Please label the transcript carefully and keep the original file name. Batch number 52.


The model should emit partial words only when the timing evidence is reliable. Batch number 53.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 54.


The speaker paused briefly before asking for a translation of the sentence. Batch number 55.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 56.


The assistant should stay silent while the user is still talking. Batch number 57.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 58.


The validation report lists missing sources separately from failed rows. Batch number 59.


The project meeting moved to Thursday morning after the deployment review. Batch number 60.


A small batch of audio samples is enough for the first validation pass. Batch number 61.


Please label the transcript carefully and keep the original file name. Batch number 62.


The model should emit partial words only when the timing evidence is reliable. Batch number 63.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 64.


The speaker paused briefly before asking for a translation of the sentence. Batch number 65.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 66.


The assistant should stay silent while the user is still talking. Batch number 67.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 68.


The validation report lists missing sources separately from failed rows. Batch number 69.


The project meeting moved to Thursday morning after the deployment review. Batch number 70.


A small batch of audio samples is enough for the first validation pass. Batch number 71.


Please label the transcript carefully and keep the original file name. Batch number 72.


The model should emit partial words only when the timing evidence is reliable. Batch number 73.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 74.


The speaker paused briefly before asking for a translation of the sentence. Batch number 75.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 76.


The assistant should stay silent while the user is still talking. Batch number 77.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 78.


The validation report lists missing sources separately from failed rows. Batch number 79.


The project meeting moved to Thursday morning after the deployment review. Batch number 80.


A small batch of audio samples is enough for the first validation pass. Batch number 81.


Please label the transcript carefully and keep the original file name. Batch number 82.


The model should emit partial words only when the timing evidence is reliable. Batch number 83.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 84.


The speaker paused briefly before asking for a translation of the sentence. Batch number 85.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 86.


The assistant should stay silent while the user is still talking. Batch number 87.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 88.


The validation report lists missing sources separately from failed rows. Batch number 89.


The project meeting moved to Thursday morning after the deployment review. Batch number 90.


A small batch of audio samples is enough for the first validation pass. Batch number 91.


Please label the transcript carefully and keep the original file name. Batch number 92.


The model should emit partial words only when the timing evidence is reliable. Batch number 93.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 94.


The speaker paused briefly before asking for a translation of the sentence. Batch number 95.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 96.


The assistant should stay silent while the user is still talking. Batch number 97.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 98.


The validation report lists missing sources separately from failed rows. Batch number 99.


The project meeting moved to Thursday morning after the deployment review. Batch number 0.


A small batch of audio samples is enough for the first validation pass. Batch number 1.


Please label the transcript carefully and keep the original file name. Batch number 2.


The model should emit partial words only when the timing evidence is reliable. Batch number 3.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 4.


The speaker paused briefly before asking for a translation of the sentence. Batch number 5.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 6.


The assistant should stay silent while the user is still talking. Batch number 7.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 8.


The validation report lists missing sources separately from failed rows. Batch number 9.


The project meeting moved to Thursday morning after the deployment review. Batch number 10.


A small batch of audio samples is enough for the first validation pass. Batch number 11.


Please label the transcript carefully and keep the original file name. Batch number 12.


The model should emit partial words only when the timing evidence is reliable. Batch number 13.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 14.


The speaker paused briefly before asking for a translation of the sentence. Batch number 15.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 16.


The assistant should stay silent while the user is still talking. Batch number 17.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 18.


The validation report lists missing sources separately from failed rows. Batch number 19.


The project meeting moved to Thursday morning after the deployment review. Batch number 20.


A small batch of audio samples is enough for the first validation pass. Batch number 21.


Please label the transcript carefully and keep the original file name. Batch number 22.


The model should emit partial words only when the timing evidence is reliable. Batch number 23.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 24.


The speaker paused briefly before asking for a translation of the sentence. Batch number 25.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 26.


The assistant should stay silent while the user is still talking. Batch number 27.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 28.


The validation report lists missing sources separately from failed rows. Batch number 29.


The project meeting moved to Thursday morning after the deployment review. Batch number 30.


A small batch of audio samples is enough for the first validation pass. Batch number 31.


Please label the transcript carefully and keep the original file name. Batch number 32.


The model should emit partial words only when the timing evidence is reliable. Batch number 33.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 34.


The speaker paused briefly before asking for a translation of the sentence. Batch number 35.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 36.


The assistant should stay silent while the user is still talking. Batch number 37.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 38.


The validation report lists missing sources separately from failed rows. Batch number 39.


The project meeting moved to Thursday morning after the deployment review. Batch number 40.


A small batch of audio samples is enough for the first validation pass. Batch number 41.


Please label the transcript carefully and keep the original file name. Batch number 42.


The model should emit partial words only when the timing evidence is reliable. Batch number 43.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 44.


The speaker paused briefly before asking for a translation of the sentence. Batch number 45.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 46.


The assistant should stay silent while the user is still talking. Batch number 47.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 48.


The validation report lists missing sources separately from failed rows. Batch number 49.


The project meeting moved to Thursday morning after the deployment review. Batch number 50.


A small batch of audio samples is enough for the first validation pass. Batch number 51.


Please label the transcript carefully and keep the original file name. Batch number 52.


The model should emit partial words only when the timing evidence is reliable. Batch number 53.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 54.


The speaker paused briefly before asking for a translation of the sentence. Batch number 55.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 56.


The assistant should stay silent while the user is still talking. Batch number 57.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 58.


The validation report lists missing sources separately from failed rows. Batch number 59.


The project meeting moved to Thursday morning after the deployment review. Batch number 60.


A small batch of audio samples is enough for the first validation pass. Batch number 61.


Please label the transcript carefully and keep the original file name. Batch number 62.


The model should emit partial words only when the timing evidence is reliable. Batch number 63.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 64.


The speaker paused briefly before asking for a translation of the sentence. Batch number 65.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 66.


The assistant should stay silent while the user is still talking. Batch number 67.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 68.


The validation report lists missing sources separately from failed rows. Batch number 69.


The project meeting moved to Thursday morning after the deployment review. Batch number 70.


A small batch of audio samples is enough for the first validation pass. Batch number 71.


Please label the transcript carefully and keep the original file name. Batch number 72.


The model should emit partial words only when the timing evidence is reliable. Batch number 73.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 74.


The speaker paused briefly before asking for a translation of the sentence. Batch number 75.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 76.


The assistant should stay silent while the user is still talking. Batch number 77.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 78.


The validation report lists missing sources separately from failed rows. Batch number 79.


The project meeting moved to Thursday morning after the deployment review. Batch number 80.


A small batch of audio samples is enough for the first validation pass. Batch number 81.


Please label the transcript carefully and keep the original file name. Batch number 82.


The model should emit partial words only when the timing evidence is reliable. Batch number 83.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 84.


The speaker paused briefly before asking for a translation of the sentence. Batch number 85.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 86.


The assistant should stay silent while the user is still talking. Batch number 87.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 88.


The validation report lists missing sources separately from failed rows. Batch number 89.


The project meeting moved to Thursday morning after the deployment review. Batch number 90.


A small batch of audio samples is enough for the first validation pass. Batch number 91.


Please label the transcript carefully and keep the original file name. Batch number 92.


The model should emit partial words only when the timing evidence is reliable. Batch number 93.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 94.


The speaker paused briefly before asking for a translation of the sentence. Batch number 95.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 96.


The assistant should stay silent while the user is still talking. Batch number 97.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 98.


The validation report lists missing sources separately from failed rows. Batch number 99.


The project meeting moved to Thursday morning after the deployment review. Batch number 0.


A small batch of audio samples is enough for the first validation pass. Batch number 1.


Please label the transcript carefully and keep the original file name. Batch number 2.


The model should emit partial words only when the timing evidence is reliable. Batch number 3.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 4.


The speaker paused briefly before asking for a translation of the sentence. Batch number 5.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 6.


The assistant should stay silent while the user is still talking. Batch number 7.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 8.


The validation report lists missing sources separately from failed rows. Batch number 9.


The project meeting moved to Thursday morning after the deployment review. Batch number 10.


A small batch of audio samples is enough for the first validation pass. Batch number 11.


Please label the transcript carefully and keep the original file name. Batch number 12.


The model should emit partial words only when the timing evidence is reliable. Batch number 13.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 14.


The speaker paused briefly before asking for a translation of the sentence. Batch number 15.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 16.


The assistant should stay silent while the user is still talking. Batch number 17.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 18.


The validation report lists missing sources separately from failed rows. Batch number 19.


The project meeting moved to Thursday morning after the deployment review. Batch number 20.


A small batch of audio samples is enough for the first validation pass. Batch number 21.


Please label the transcript carefully and keep the original file name. Batch number 22.


The model should emit partial words only when the timing evidence is reliable. Batch number 23.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 24.


The speaker paused briefly before asking for a translation of the sentence. Batch number 25.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 26.


The assistant should stay silent while the user is still talking. Batch number 27.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 28.


The validation report lists missing sources separately from failed rows. Batch number 29.


The project meeting moved to Thursday morning after the deployment review. Batch number 30.


A small batch of audio samples is enough for the first validation pass. Batch number 31.


Please label the transcript carefully and keep the original file name. Batch number 32.


The model should emit partial words only when the timing evidence is reliable. Batch number 33.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 34.


The speaker paused briefly before asking for a translation of the sentence. Batch number 35.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 36.


The assistant should stay silent while the user is still talking. Batch number 37.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 38.


The validation report lists missing sources separately from failed rows. Batch number 39.


The project meeting moved to Thursday morning after the deployment review. Batch number 40.


A small batch of audio samples is enough for the first validation pass. Batch number 41.


Please label the transcript carefully and keep the original file name. Batch number 42.


The model should emit partial words only when the timing evidence is reliable. Batch number 43.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 44.


The speaker paused briefly before asking for a translation of the sentence. Batch number 45.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 46.


The assistant should stay silent while the user is still talking. Batch number 47.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 48.


The validation report lists missing sources separately from failed rows. Batch number 49.


The project meeting moved to Thursday morning after the deployment review. Batch number 50.


A small batch of audio samples is enough for the first validation pass. Batch number 51.


Please label the transcript carefully and keep the original file name. Batch number 52.


The model should emit partial words only when the timing evidence is reliable. Batch number 53.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 54.


The speaker paused briefly before asking for a translation of the sentence. Batch number 55.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 56.


The assistant should stay silent while the user is still talking. Batch number 57.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 58.


The validation report lists missing sources separately from failed rows. Batch number 59.


The project meeting moved to Thursday morning after the deployment review. Batch number 60.


A small batch of audio samples is enough for the first validation pass. Batch number 61.


Please label the transcript carefully and keep the original file name. Batch number 62.


The model should emit partial words only when the timing evidence is reliable. Batch number 63.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 64.


The speaker paused briefly before asking for a translation of the sentence. Batch number 65.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 66.


The assistant should stay silent while the user is still talking. Batch number 67.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 68.


The validation report lists missing sources separately from failed rows. Batch number 69.


The project meeting moved to Thursday morning after the deployment review. Batch number 70.


A small batch of audio samples is enough for the first validation pass. Batch number 71.


Please label the transcript carefully and keep the original file name. Batch number 72.


The model should emit partial words only when the timing evidence is reliable. Batch number 73.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 74.


The speaker paused briefly before asking for a translation of the sentence. Batch number 75.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 76.


The assistant should stay silent while the user is still talking. Batch number 77.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 78.


The validation report lists missing sources separately from failed rows. Batch number 79.


The project meeting moved to Thursday morning after the deployment review. Batch number 80.


A small batch of audio samples is enough for the first validation pass. Batch number 81.


Please label the transcript carefully and keep the original file name. Batch number 82.


The model should emit partial words only when the timing evidence is reliable. Batch number 83.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 84.


The speaker paused briefly before asking for a translation of the sentence. Batch number 85.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 86.


The assistant should stay silent while the user is still talking. Batch number 87.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 88.


The validation report lists missing sources separately from failed rows. Batch number 89.


The project meeting moved to Thursday morning after the deployment review. Batch number 90.


A small batch of audio samples is enough for the first validation pass. Batch number 91.


Please label the transcript carefully and keep the original file name. Batch number 92.


The model should emit partial words only when the timing evidence is reliable. Batch number 93.


Our local pipeline writes parquet files and preview pages before any upload. Batch number 94.


The speaker paused briefly before asking for a translation of the sentence. Batch number 95.


Quality checks rejected the sample because the audio was shorter than one second. Batch number 96.


The assistant should stay silent while the user is still talking. Batch number 97.


Streaming data needs sorted chunks with clear timestamps and stable identifiers. Batch number 98.


The validation report lists missing sources separately from failed rows. Batch number 99.