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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
seed: int64
ratios: struct<train: double, val: double, test: double>
child 0, train: double
child 1, val: double
child 2, test: double
total_sessions: int64
splits: struct<99ebebc9cf21a096dd1cfb1b557b748b: string, 83d38dc9cc23281a18e3115dfbf52e53: string, 8d0d5160f (... 47156 chars omitted)
child 0, 99ebebc9cf21a096dd1cfb1b557b748b: string
child 1, 83d38dc9cc23281a18e3115dfbf52e53: string
child 2, 8d0d5160f28a960f167b16f89ae5fa86: string
child 3, c4a7211ad02d8e98416889ae858d2d1a: string
child 4, 8dd947cb6ed2191a564f2e4a11e880ac: string
child 5, 835bfaa077517b0ef29af1e45616e920: string
child 6, 7b7871a0e722574942d6b1acf6c48021: string
child 7, 47f9704752b0c7580b5e98a081313538: string
child 8, fd77c6770aa46e8ed69dcaae62678db9: string
child 9, 6fd0b37daa78358553ac407c5e97701e: string
child 10, 41ce113ef35781b0f03899311fb46de5: string
child 11, 5611038aee1099d1d371e71afb4d97a9: string
child 12, 06b7063e02fdd2ff5b2f602097422538: string
child 13, f98cbf47f4a4742d08b874ceee3abc72: string
child 14, d958c08dfaf28f711479577900d4ed4e: string
child 15, 8c6f8400174ff6900d27cb0c56fd0f07: string
child 16, 01b6eb6477c2938b409f7fb2ddd8aff0: string
child 17, f4423a2e970c544f1da878186a4b697f: string
child 18, 3374458bb004f7766f9a6051836759b3: string
child 19, 9a3f465b54f72f40633bf0d282804d37: string
child 20, 346a0851d9f097dee28ec2bc64e672e9: string
child 21, 420b3ade051fa03a2659dbbb706a3146: string
child 22, cd9cc99a308ecb6aebd6748191788324:
...
03c160fbec38: string
child 1102, 4f676041b24e3fc5f3e373f26cc25e81: string
child 1103, 26211f8b5a1d55731eadb9335ac2d394: string
child 1104, d2be62598d67614b15525680c975939e: string
child 1105, 1d20d3cf4296387cb3e52188fa53c508: string
child 1106, 42800e46bdfd2e89d32a71041f7dd9d4: string
child 1107, 3110af23032f9908f17622fc2947596b: string
child 1108, 89e3a68dac8c25867b50c5c65ffc06f7: string
child 1109, 2113b68f6d90ef9788a150632479010d: string
child 1110, 8e426bea1008ec3b5721733321ebf312: string
child 1111, bbae8f0441f023917e52c8a7faa70ef9: string
child 1112, 25ffd17d21ba6dadc04214241de81bc6: string
child 1113, 31aba6f0f90612de49650b22fdd0fb46: string
child 1114, 55290be71f24a006981dbabf33558b4e: string
child 1115, cf8f740aa0148d0ee1c906a30e704e36: string
child 1116, 10af41d7c5bbf69ef13de40becc953b2: string
child 1117, 271bff4b407805963c1bf1afc9dd64ca: string
child 1118, 9ea9c162cd33fdcee4bc695fd7f8eda9: string
child 1119, e3c576cb7c2cb7a99064556e3ecac29a: string
child 1120, 981f60315bc11b02d800db0d39988866: string
child 1121, ab8a579abd6bda7e77b5f1f12c40940f: string
child 1122, 1bc3baa3f9d6d02dd7876dd27ceb00d4: string
child 1123, 1ce848890619aa92a348861cafff3873: string
child 1124, 01e112defcb4d3d890e7d590e775d807: string
split_counts: struct<train: int64, val: int64, test: int64>
child 0, train: int64
child 1, val: int64
child 2, test: int64
split_file: string
split: string
sessions: list<item: string>
child 0, item: string
to
{'split': Value('string'), 'split_file': Value('string'), 'sessions': List(Value('string'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
seed: int64
ratios: struct<train: double, val: double, test: double>
child 0, train: double
child 1, val: double
child 2, test: double
total_sessions: int64
splits: struct<99ebebc9cf21a096dd1cfb1b557b748b: string, 83d38dc9cc23281a18e3115dfbf52e53: string, 8d0d5160f (... 47156 chars omitted)
child 0, 99ebebc9cf21a096dd1cfb1b557b748b: string
child 1, 83d38dc9cc23281a18e3115dfbf52e53: string
child 2, 8d0d5160f28a960f167b16f89ae5fa86: string
child 3, c4a7211ad02d8e98416889ae858d2d1a: string
child 4, 8dd947cb6ed2191a564f2e4a11e880ac: string
child 5, 835bfaa077517b0ef29af1e45616e920: string
child 6, 7b7871a0e722574942d6b1acf6c48021: string
child 7, 47f9704752b0c7580b5e98a081313538: string
child 8, fd77c6770aa46e8ed69dcaae62678db9: string
child 9, 6fd0b37daa78358553ac407c5e97701e: string
child 10, 41ce113ef35781b0f03899311fb46de5: string
child 11, 5611038aee1099d1d371e71afb4d97a9: string
child 12, 06b7063e02fdd2ff5b2f602097422538: string
child 13, f98cbf47f4a4742d08b874ceee3abc72: string
child 14, d958c08dfaf28f711479577900d4ed4e: string
child 15, 8c6f8400174ff6900d27cb0c56fd0f07: string
child 16, 01b6eb6477c2938b409f7fb2ddd8aff0: string
child 17, f4423a2e970c544f1da878186a4b697f: string
child 18, 3374458bb004f7766f9a6051836759b3: string
child 19, 9a3f465b54f72f40633bf0d282804d37: string
child 20, 346a0851d9f097dee28ec2bc64e672e9: string
child 21, 420b3ade051fa03a2659dbbb706a3146: string
child 22, cd9cc99a308ecb6aebd6748191788324:
...
03c160fbec38: string
child 1102, 4f676041b24e3fc5f3e373f26cc25e81: string
child 1103, 26211f8b5a1d55731eadb9335ac2d394: string
child 1104, d2be62598d67614b15525680c975939e: string
child 1105, 1d20d3cf4296387cb3e52188fa53c508: string
child 1106, 42800e46bdfd2e89d32a71041f7dd9d4: string
child 1107, 3110af23032f9908f17622fc2947596b: string
child 1108, 89e3a68dac8c25867b50c5c65ffc06f7: string
child 1109, 2113b68f6d90ef9788a150632479010d: string
child 1110, 8e426bea1008ec3b5721733321ebf312: string
child 1111, bbae8f0441f023917e52c8a7faa70ef9: string
child 1112, 25ffd17d21ba6dadc04214241de81bc6: string
child 1113, 31aba6f0f90612de49650b22fdd0fb46: string
child 1114, 55290be71f24a006981dbabf33558b4e: string
child 1115, cf8f740aa0148d0ee1c906a30e704e36: string
child 1116, 10af41d7c5bbf69ef13de40becc953b2: string
child 1117, 271bff4b407805963c1bf1afc9dd64ca: string
child 1118, 9ea9c162cd33fdcee4bc695fd7f8eda9: string
child 1119, e3c576cb7c2cb7a99064556e3ecac29a: string
child 1120, 981f60315bc11b02d800db0d39988866: string
child 1121, ab8a579abd6bda7e77b5f1f12c40940f: string
child 1122, 1bc3baa3f9d6d02dd7876dd27ceb00d4: string
child 1123, 1ce848890619aa92a348861cafff3873: string
child 1124, 01e112defcb4d3d890e7d590e775d807: string
split_counts: struct<train: int64, val: int64, test: int64>
child 0, train: int64
child 1, val: int64
child 2, test: int64
split_file: string
split: string
sessions: list<item: string>
child 0, item: string
to
{'split': Value('string'), 'split_file': Value('string'), 'sessions': List(Value('string'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
melturn otoSpeech features
The prepared data tree behind every number in
pujariaditya/melturn, exactly as
python -m melturn.data.prepare builds it. Kept private: it is derived from
two datasets with their own terms.
sessions/<id>/mel_ch{0,1}.npy— [T, 512] float16 log-mel frames, 64 bins × 8 sub-frames per 80 ms, standardised withmel_stats.npz(statistics from the 40 official TRAIN conversations listed inmel_stats_sources.json). Fromotoearth/otoSpeech-full-duplex-280h@f3144f6(CC BY 4.0, gated).sessions/<id>/vad_ch{0,1}.npy— [T] int8 voice activity, andsplits.json, the official split. Fromanyreach-ai/dualturn-otospeech-turn-taking@5b700b4(DualTurn's release).sessions/<id>/mimi_ch{0,1}.npy— [T, 512] float16 Mimi features for the val and test conversations only, from the same DualTurn release; used by the baseline evaluation.
1120 conversations: 896 train, 111 val, 113 test. Fetch with
python -m melturn.data.prepare --root data/otospeech --from-hub.
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