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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type string to null
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1766, in _prepare_split_single
                  writer.write(example, key)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 500, in write
                  self.write_examples_on_file()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 458, in write_examples_on_file
                  self.write_batch(batch_examples=batch_examples)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 568, in write_batch
                  arrays.append(pa.array(typed_sequence))
                File "pyarrow/array.pxi", line 247, in pyarrow.lib.array
                File "pyarrow/array.pxi", line 112, in pyarrow.lib._handle_arrow_array_protocol
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 208, in __arrow_array__
                  out = cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2020, in cast_array_to_feature
                  arrays = [_c(array.field(name), subfeature) for name, subfeature in feature.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2020, in <listcomp>
                  arrays = [_c(array.field(name), subfeature) for name, subfeature in feature.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2075, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2116, in cast_array_to_feature
                  return array_cast(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1962, in array_cast
                  raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
              TypeError: Couldn't cast array of type string to null
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1775, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 599, in finalize
                  self.write_examples_on_file()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 458, in write_examples_on_file
                  self.write_batch(batch_examples=batch_examples)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 568, in write_batch
                  arrays.append(pa.array(typed_sequence))
                File "pyarrow/array.pxi", line 247, in pyarrow.lib.array
                File "pyarrow/array.pxi", line 112, in pyarrow.lib._handle_arrow_array_protocol
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 208, in __arrow_array__
                  out = cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2020, in cast_array_to_feature
                  arrays = [_c(array.field(name), subfeature) for name, subfeature in feature.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2020, in <listcomp>
                  arrays = [_c(array.field(name), subfeature) for name, subfeature in feature.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2075, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2116, in cast_array_to_feature
                  return array_cast(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1804, in wrapper
                  return func(array, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1962, in array_cast
                  raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
              TypeError: Couldn't cast array of type string to null
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1524, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1099, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1627, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1784, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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__key__
string
__url__
string
json
dict
mix.wav
audio
ref.wav
audio
target.wav
audio
mix_0000011_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000011", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "army", "and", "set", "them" ], "chapter_id": "145702", "utt_id": "1898-145702-0004", "start": 0.217, ...
mix_0000202_10
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000202", "n_speakers": 2, "overlap": 1, "ref": { "clips": [ { "words": [ "first", "therefore", "they", "mention" ], "chapter_id": "168198", "utt_id": "3224-168198-0005", "start": 0....
mix_0000012_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises", "gaussian_noise" ], "mix_id": "mix_0000012", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "army", "and", "set", "them" ], "chapter_id": "145702", "utt_id": "1898-...
mix_0001517_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises" ], "mix_id": "mix_0001517", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "the", "citizens", "of", "all" ], "chapter_id": "171108", "utt_id": "3289-171108-0022", ...
mix_0003022_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0003022", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "we'll", "put", "him", "away", "back", "in", "the" ], "chapter_id": "46267", "utt_id":...
mix_0002911_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0002911", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "to", "tell", "you", "things", "that", "you", "would" ], "chapter_id": "102420", "ut...
mix_0000156_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "gaussian_noise", "short_noises" ], "mix_id": "mix_0000156", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "really", "the", "itching", "for" ], "chapter_id": "122947", "utt_id":...
mix_0001072_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "gaussian_noise" ], "mix_id": "mix_0001072", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "the", "administration", "had", "little" ], "chapter_id": "158077", "utt_id": "4088-158077-0...
mix_0000455_06
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises" ], "mix_id": "mix_0000455", "n_speakers": 2, "overlap": 0.6, "ref": { "clips": [ { "words": [ "fed", "by", "many" ], "chapter_id": "130550", "utt_id": "1447-130550-0009", "start": 0.32, ...
mix_0001552_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0001552", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-803", "target_spk_idx": 524 }
mix_0000235_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000235", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "into", "thread", "and", "cloth" ], "chapter_id": "134707", "utt_id": "1001-134707-0031", "start": 0.256, ...
mix_0002706_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises", "room_simulator" ], "mix_id": "mix_0002706", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "all", "washed", "by" ], "chapter_id": "291381", "utt_id": "8619-291381-0019", ...
mix_0001481_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises", "room_simulator" ], "mix_id": "mix_0001481", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "or", "the", "race", "horses", "tugging", "at" ], "chapter_i...
mix_0000638_08
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises" ], "mix_id": "mix_0000638", "n_speakers": 2, "overlap": 0.8, "ref": { "clips": [ { "words": [ "unforgotten", "years" ], "chapter_id": "130494", "utt_id": "1390-130494-0011", "start": 0.338, ...
mix_0000394_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises" ], "mix_id": "mix_0000394", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-1313", "target_spk_idx": 837 }
mix_0003192_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0003192", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "once", "more", "i", "staked", "the", "whole", "eight" ], "chapter_id": "26895", "ut...
mix_0001129_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0001129", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "him" ], "chapter_id": "140048", "utt_id": "1553-140048-0047", "start": 0.464, "stop": 0.834, "orig_file": "../LibriSpee...
mix_0000617_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "gaussian_noise", "short_noises" ], "mix_id": "mix_0000617", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "ef", "i", "git", "red", "o", "this" ], "chapter_id": "781...
mix_0000165_06
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises" ], "mix_id": "mix_0000165", "n_speakers": 2, "overlap": 0.6, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-2159", "target_spk_idx": 51 }
mix_0003925_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0003925", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "aeroplane" ], "chapter_id": "26100", "utt_id": "1970-26100-0015", "start": 0.257, "stop": 0.857, "orig_file": "../Libri...
mix_0000882_10
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000882", "n_speakers": 2, "overlap": 1, "ref": { "clips": [ { "words": [ "communicated", "with" ], "chapter_id": "144496", "utt_id": "2393-144496-0070", "start": 0.417, "stop": 1.587, "...
mix_0001868_06
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises" ], "mix_id": "mix_0001868", "n_speakers": 2, "overlap": 0.6, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-6385", "target_spk_idx": 86 }
mix_0000289_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000289", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "betwixt", "dread" ], "chapter_id": "73846", "utt_id": "5570-73846-0008", "start": 0.234, "stop": 1.524, "orig_f...
mix_0000859_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "room_simulator", "gaussian_noise" ], "mix_id": "mix_0000859", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "he", "had", "lived", "on" ], "chapter_id": "123349", "utt_id": "27-...
mix_0001484_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0001484", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "can", "never", "be", "told", "in" ], "chapter_id": "19361", "utt_id": "3032-19361-0029", "start...
mix_0002106_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises", "gaussian_noise" ], "mix_id": "mix_0002106", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "there", "was", "tiny" ], "chapter_id": "147981", "utt_id": "2004-147981-0022", ...
mix_0004035_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0004035", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "present", "powers" ], "chapter_id": "39970", "utt_id": "7949-39970-0037", "start": 0.328, "stop": 1.388, "orig_...
mix_0003638_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "room_simulator" ], "mix_id": "mix_0003638", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "already" ], "chapter_id": "140725", "utt_id": "3790-140725-0038", "start": 0.371, "stop": 1.041, ...
mix_0000309_08
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000309", "n_speakers": 2, "overlap": 0.8, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-5489", "target_spk_idx": 677 }
mix_0000507_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000507", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-114", "target_spk_idx": 1132 }
mix_0000527_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises" ], "mix_id": "mix_0000527", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "temptation", "pursued" ], "chapter_id": "160187", "utt_id": "2812-160187-0075", "start": 0.477, ...
mix_0001984_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0001984", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "seabright" ], "chapter_id": "274562", "utt_id": "7780-274562-0023", "start": 0.362, "stop": 0.972, "orig_file": "../Lib...
mix_0000026_10
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000026", "n_speakers": 2, "overlap": 1, "ref": { "clips": [ { "words": [ "maintains", "it" ], "chapter_id": "138042", "utt_id": "2618-138042-0025", "start": 0.469, "stop": 1.159, "orig_...
mix_0005051_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0005051", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "beginning" ], "chapter_id": "135229", "utt_id": "2517-135229-0048", "start": 0.207, "stop": 0.787, "orig_file": "../Lib...
mix_0003371_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0003371", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-3864", "target_spk_idx": 1012 }
mix_0000957_08
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000957", "n_speakers": 2, "overlap": 0.8, "ref": { "clips": [ { "words": [ "gurgurk", "wouldn't", "have", "tried", "to" ], "chapter_id": "167023", "utt_id": "3274-167023-0033", ...
mix_0001064_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises", "gaussian_noise" ], "mix_id": "mix_0001064", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "but", "as", "it", "was", "not" ], "chapter_id": "139707", "...
mix_0003624_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0003624", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "is", "possible" ], "chapter_id": "142752", "utt_id": "1826-142752-0041", "start": 0.32, "stop": 1.05, "orig_f...
mix_0003416_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0003416", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-217", "target_spk_idx": 445 }
mix_0004888_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0004888", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "wax", "are", "found", "in" ], "chapter_id": "185457", "utt_id": "3977-185457-0016", "start": 0.382, ...
mix_0000014_10
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000014", "n_speakers": 2, "overlap": 1, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-3947", "target_spk_idx": 117 }
mix_0001774_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0001774", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "for", "he", "is", "most", "anxious" ], "chapter_id": "135580", "utt_id": "1825-135580-0014", "sta...
mix_0000229_06
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises" ], "mix_id": "mix_0000229", "n_speakers": 2, "overlap": 0.6, "ref": { "clips": [ { "words": [ "world" ], "chapter_id": "133263", "utt_id": "1058-133263-0017", "start": 0.386, "stop": 0.936, "o...
mix_0000242_10
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000242", "n_speakers": 2, "overlap": 1, "ref": { "clips": [ { "words": [ "of", "the", "most", "diligent" ], "chapter_id": "291458", "utt_id": "8011-291458-0011", "start": 0.235, ...
mix_0001937_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0001937", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "poems", "now", "omitted" ], "chapter_id": "285173", "utt_id": "8459-285173-0001", "start": 0.233, "stop": 1...
mix_0000961_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "gaussian_noise" ], "mix_id": "mix_0000961", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "had", "awakened", "all", "that", "was" ], "chapter_id": "112058", "utt_id": "79...
mix_0001842_06
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0001842", "n_speakers": 2, "overlap": 0.6, "ref": { "clips": [ { "words": [ "marguerite's", "blue", "eyes" ], "chapter_id": "105390", "utt_id": "7688-105390-0033", "start": 0.403, "sto...
mix_0001746_08
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "room_simulator" ], "mix_id": "mix_0001746", "n_speakers": 2, "overlap": 0.8, "ref": { "clips": [ { "words": [ "community", "of", "honest" ], "chapter_id": "68762", "utt_id": "1649-68762-0030", "start": ...
mix_0004848_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0004848", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "he's", "an", "enemy", "i", "really" ], "chapter_id": "106969", "utt_id": "7704-106969-0022", "sta...
mix_0002409_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0002409", "n_speakers": 1, "overlap": 0, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-6553", "target_spk_idx": 903 }
mix_0002560_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "gaussian_noise", "short_noises" ], "mix_id": "mix_0002560", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "and", "i", "knew", "that", "i", "was", "about", "to" ...
mix_0002580_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises" ], "mix_id": "mix_0002580", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "a", "fact", "which", "amply" ], "chapter_id": "19366", "utt_id": "4629-19366-0027", "...
mix_0003854_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "room_simulator" ], "mix_id": "mix_0003854", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "ledges", "were", "a" ], "chapter_id": "66176", "utt_id": "6269-66176-0006", "start": 0.434,...
mix_0003926_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "gaussian_noise", "short_noises" ], "mix_id": "mix_0003926", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "dukes" ], "chapter_id": "7884", "utt_id": "3551-7884-0038", "start": 0.454, "stop":...
mix_0001796_06
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "gaussian_noise", "short_noises" ], "mix_id": "mix_0001796", "n_speakers": 2, "overlap": 0.6, "ref": { "clips": [ { "words": [ "forty", "brave", "comrades" ], "chapter_id": "11217", "utt_id": "4051-11217-000...
mix_0005292_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0005292", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-2136", "target_spk_idx": 163 }
mix_0001854_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0001854", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "suddenly", "added" ], "chapter_id": "10702", "utt_id": "3979-10702-0025", "start": 0.302, "stop": 1.172, "ori...
mix_0004529_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0004529", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "had", "passed", "the", "four", "hundred" ], "chapter_id": "131722", "utt_id": "2774-131722-0021", ...
mix_0001017_06
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0001017", "n_speakers": 2, "overlap": 0.6, "ref": { "clips": [ { "words": [ "considerably", "against" ], "chapter_id": "64290", "utt_id": "6426-64290-0014", "start": 0.213, "stop": 1.523, ...
mix_0001900_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0001900", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "he", "remained", "up", "stairs" ], "chapter_id": "147149", "utt_id": "1993-147149-0021", "start": 0.26, ...
mix_0005713_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises", "room_simulator" ], "mix_id": "mix_0005713", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "man", "ever", "will", "in", "print" ], "chapter_id": "292252", ...
mix_0001621_06
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0001621", "n_speakers": 2, "overlap": 0.6, "ref": { "clips": [ { "words": [ "at", "all", "offended" ], "chapter_id": "68772", "utt_id": "6818-68772-0047", "start": 0.434, "stop": 1.474...
mix_0003178_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "room_simulator", "gaussian_noise" ], "mix_id": "mix_0003178", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "but", "your", "families" ], "chapter_id": "19188", "utt_id": "4640-19188-0019...
mix_0003472_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0003472", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "mist" ], "chapter_id": "103126", "utt_id": "7416-103126-0085", "start": 0.431, "stop": 0.871, "orig_file": "../LibriSpe...
mix_0000722_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "gaussian_noise", "short_noises" ], "mix_id": "mix_0000722", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "that", "he", "found", "on", "the" ], "chapter_id": "359", "ut...
mix_0002840_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises" ], "mix_id": "mix_0002840", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "eyes" ], "chapter_id": "102420", "utt_id": "7511-102420-0022", "start": 0.256, "stop": 0.856, "or...
mix_0002161_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0002161", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "and", "a", "very", "pleasant" ], "chapter_id": "147159", "utt_id": "2882-147159-0088", "start": 0.232, ...
mix_0000317_06
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000317", "n_speakers": 2, "overlap": 0.6, "ref": { "clips": [ { "words": [ "unfortunate", "children" ], "chapter_id": "73075", "utt_id": "6690-73075-0014", "start": 0.404, "stop": 1.554, ...
mix_0001979_08
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "gaussian_noise", "room_simulator" ], "mix_id": "mix_0001979", "n_speakers": 2, "overlap": 0.8, "ref": { "clips": [ { "words": [ "to", "miss", "joy", "young" ], "chapter_id": "158077", "utt_id": "4...
mix_0000408_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000408", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "ox", "now", "when", "the" ], "chapter_id": "163518", "utt_id": "3274-163518-0028", "start": 0.392, ...
mix_0000817_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000817", "n_speakers": 1, "overlap": 0, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-7594", "target_spk_idx": 363 }
mix_0000528_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises" ], "mix_id": "mix_0000528", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "the", "very", "tree", "from" ], "chapter_id": "142933", "utt_id": "1624-142933-0009", ...
mix_0004898_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "gaussian_noise", "short_noises" ], "mix_id": "mix_0004898", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-3221", "target_spk_idx": 453 }
mix_0005373_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0005373", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "wagonette", "which", "conveyed", "the" ], "chapter_id": "6379", "utt_id": "1578-6379-0001", "start": 0.44...
mix_0000499_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000499", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "seemed", "to", "be", "men", "in", "the", "red" ], "chapter_id": "139307", "utt_id": "...
mix_0002701_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "room_simulator" ], "mix_id": "mix_0002701", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "wisely", "managed", "will", "save" ], "chapter_id": "138047", "utt_id": "2127-138047-0026...
mix_0004098_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "gaussian_noise", "short_noises" ], "mix_id": "mix_0004098", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "remain", "with", "your", "tonia" ], "chapter_id": "282926", "utt_id": "...
mix_0000871_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "gaussian_noise", "room_simulator" ], "mix_id": "mix_0000871", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "intimate", "pain", "which" ], "chapter_id": "122443", "utt_id": "217-122443-0...
mix_0000440_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000440", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "aroused", "startled" ], "chapter_id": "285135", "utt_id": "8592-285135-0047", "start": 0.367, "stop": 1.707, ...
mix_0004672_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0004672", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "here" ], "chapter_id": "142318", "utt_id": "1705-142318-0011", "start": 0.387, "stop": 0.867, "orig_file": "../LibriSpeec...
mix_0000736_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000736", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-1425", "target_spk_idx": 1120 }
mix_0005406_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0005406", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "majority", "in", "the", "upper" ], "chapter_id": "274369", "utt_id": "8226-274369-0016", "start": 0.313, ...
mix_0002421_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0002421", "n_speakers": 1, "overlap": 0, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-7828", "target_spk_idx": 410 }
mix_0002595_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises" ], "mix_id": "mix_0002595", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "such", "as", "it", "was", "it", "did" ], "chapter_id": "123268", "utt_id"...
mix_0000472_08
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000472", "n_speakers": 2, "overlap": 0.8, "ref": { "clips": [ { "words": [ "<unk>", "s" ], "chapter_id": "145458", "utt_id": "254-145458-0021", "start": 0.245, "stop": 1.165, "orig_file...
mix_0003009_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0003009", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "reason", "why", "anything" ], "chapter_id": "124550", "utt_id": "1246-124550-0021", "start": 0.32, "stop": ...
mix_0002503_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises" ], "mix_id": "mix_0002503", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-475", "target_spk_idx": 872 }
mix_0003954_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "gaussian_noise", "short_noises" ], "mix_id": "mix_0003954", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "encouragement" ], "chapter_id": "70191", "utt_id": "6272-70191-0001", "start": 0.258, ...
mix_0005598_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "gaussian_noise", "short_noises" ], "mix_id": "mix_0005598", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-8758", "target_spk_idx": 1128 }
mix_0002989_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0002989", "n_speakers": 1, "overlap": 0, "ref": { "clips": [], "spk_id": "absent" }, "target_absent": true, "target_spk_id": "librispeech-1316", "target_spk_idx": 479 }
mix_0003919_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0003919", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "bryce" ], "chapter_id": "133471", "utt_id": "476-133471-0054", "start": 0.365, "stop": 0.815, "orig_file": "../LibriSpeec...
mix_0004052_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises" ], "mix_id": "mix_0004052", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "a", "mind", "to", "appear", "to" ], "chapter_id": "171115", "utt_id": "3723-17111...
mix_0001196_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0001196", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "at", "least", "he", "is", "willing" ], "chapter_id": "21393", "utt_id": "4289-21393-0021", "sta...
mix_0002790_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "short_noises", "room_simulator" ], "mix_id": "mix_0002790", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "deerest", "blood" ], "chapter_id": "32451", "utt_id": "5063-32451-0013", "start":...
mix_0001845_06
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0001845", "n_speakers": 2, "overlap": 0.6, "ref": { "clips": [ { "words": [ "brought", "the", "country", "out", "of", "the" ], "chapter_id": "15678", "utt_id": "4397-1567...
mix_0002053_02
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [ "room_simulator", "short_noises" ], "mix_id": "mix_0002053", "n_speakers": 2, "overlap": 0.2, "ref": { "clips": [ { "words": [ "hard", "and", "miserly" ], "chapter_id": "186232", "utt_id": "2573-186232-0012"...
mix_0000046_10
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000046", "n_speakers": 2, "overlap": 1, "ref": { "clips": [ { "words": [ "thus", "the", "romans", "could", "not" ], "chapter_id": "286306", "utt_id": "8573-286306-0096", "...
mix_0002530_00
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0002530", "n_speakers": 1, "overlap": 0, "ref": { "clips": [ { "words": [ "blackness", "of", "the" ], "chapter_id": "65772", "utt_id": "6373-65772-0085", "start": 0.377, "stop": 1.367,...
mix_0000395_06
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000395", "n_speakers": 2, "overlap": 0.6, "ref": { "clips": [ { "words": [ "access", "either", "to", "the" ], "chapter_id": "14187", "utt_id": "4160-14187-0026", "start": 0.384, ...
mix_0000823_04
hf://datasets/theredspace/slmix@4e9b73a335a77c893a27c6fb40dcc6ce400e7e31/data/dev/1_or_2_mix_extract.tar
{ "augmentations": [], "mix_id": "mix_0000823", "n_speakers": 2, "overlap": 0.4, "ref": { "clips": [ { "words": [ "man", "who", "had", "been", "dug", "out" ], "chapter_id": "128309", "utt_id": "353-128309-009...
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A generated dataset constructed from LibriSpeech and code from the SparseLibriMix project.

This is licensed as CC-BY-4.0.

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