Datasets:

speed-tb
/

test7

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
audio: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
audio_id: string
filename: string
start_time: double
end_time: double
ageGroup: string
boundaryID: string
educationLevel: string
educationMediumAfter12-list: string
educationMediumUpto12-list: string
gender: string
otherLanguages-list: string
placeOfRecording: string
sentence-Devanagari-transcription: string
sentence-IPA-transcription: string
sentence-Latin-transcription: string
speakerId: string
typeOfPlace: string
-- schema metadata --
huggingface: '{"info": {"features": {"audio": {"sampling_rate": 16000, "_' + 1018
to
{'audio': Audio(sampling_rate=16000, decode=True, num_channels=None, stream_index=None), 'audio_id': Value('string'), 'filename': Value('string'), 'start_time': Value('float64'), 'end_time': Value('float64'), 'ageGroup': Value('string'), 'boundaryID': Value('string'), 'gender': Value('string'), 'sentence-Devanagari-transcription': Value('string'), 'sentence-IPA-transcription': Value('string'), 'speakerId': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2083, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 544, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 383, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 180, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 143, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              audio: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              audio_id: string
              filename: string
              start_time: double
              end_time: double
              ageGroup: string
              boundaryID: string
              educationLevel: string
              educationMediumAfter12-list: string
              educationMediumUpto12-list: string
              gender: string
              otherLanguages-list: string
              placeOfRecording: string
              sentence-Devanagari-transcription: string
              sentence-IPA-transcription: string
              sentence-Latin-transcription: string
              speakerId: string
              typeOfPlace: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"audio": {"sampling_rate": 16000, "_' + 1018
              to
              {'audio': Audio(sampling_rate=16000, decode=True, num_channels=None, stream_index=None), 'audio_id': Value('string'), 'filename': Value('string'), 'start_time': Value('float64'), 'end_time': Value('float64'), 'ageGroup': Value('string'), 'boundaryID': Value('string'), 'gender': Value('string'), 'sentence-Devanagari-transcription': Value('string'), 'sentence-IPA-transcription': Value('string'), 'speakerId': Value('string')}
              because column names don't match

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Glossing Test 6 + Kuchbandhiya Test

About

Glossing Test 6

Kuchbandhiya Test

Kuchbandhiya_Test

Speakers

Test, Test 1

Annotators

Life Admin, ritesh

Structure

The dataset is organized by splits (e.g. train, test, validation). Each row contains:

audio: The audio file path (loaded as Audio feature in HF Datasets)
audio_id: Unique identifier for the audio
filename: Original filename
sentence-<SCRIPT>-transcription: Text transcription of the audio in the given script
speaker_id: Identifier for the speaker
boundaryID: Identifier for the boundary
start_time: Start time of the segment in seconds
end_time: End time of the segment in seconds
textgrid_json: TextGrid data converted to JSON format In addition to any other metadata fields provided during upload are optionally included.

License

This work is licensed under a CC-By-NC-SA-4.0 license. This license allows reusers to distribute, remix, adapt, build upon, and incorporate into software systems, the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. If you remix, adapt, build upon, or incorporate into software systems, you must license the modified material, including material generated by the software system, under identical terms, and license the software system under the GNU General Public License.

Commercial Use

If you are interested in using this dataset for commercial purposes, please contact us (contact [at] unreal-tece[dot]co[dot]in). Profits from commercial licensing will be distributed as royalties to the community members who contributed to this dataset.

Contact

For questions, issues, or contributions, open an issue on the dataset repository or contact us directly (contact [at] unreal-tece[dot]co[dot]in).

Downloads last month: 14

Project:

Glossing Test 6

Contributors:

Test ritesh, Life Admin

Size of downloaded dataset files:

9.19 MB

Size of the auto-converted Parquet files:

9.19 MB

Number of rows: