Dataset Preview
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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowTypeError
Message: ("Expected bytes, got a 'list' object", 'Conversion failed for column alignments with type object')
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 137, in _generate_tables
pa_table = paj.read_json(
File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/alignments/[]/[]) changed from string to array in row 0
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 1855, in _prepare_split_single
for _, table in generator:
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 687, in wrapped
for item in generator(*args, **kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 167, in _generate_tables
pa_table = pa.Table.from_pandas(df, preserve_index=False)
File "pyarrow/table.pxi", line 3874, in pyarrow.lib.Table.from_pandas
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 611, in dataframe_to_arrays
arrays = [convert_column(c, f)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 611, in <listcomp>
arrays = [convert_column(c, f)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 598, in convert_column
raise e
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 592, in convert_column
result = pa.array(col, type=type_, from_pandas=True, safe=safe)
File "pyarrow/array.pxi", line 339, in pyarrow.lib.array
File "pyarrow/array.pxi", line 85, in pyarrow.lib._ndarray_to_array
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowTypeError: ("Expected bytes, got a 'list' object", 'Conversion failed for column alignments with type object')
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 1433, 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 989, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, 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 1898, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
path
string | duration
float64 |
|---|---|
data_stereo/0.wav
| 24.52195 |
data_stereo/1.wav
| 18.317075 |
data_stereo/2.wav
| 39.386417 |
data_stereo/3.wav
| 11.056213 |
data_stereo/4.wav
| 41.52229 |
data_stereo/5.wav
| 17.304059 |
data_stereo/6.wav
| 24.541361 |
data_stereo/7.wav
| 22.268231 |
data_stereo/8.wav
| 18.003696 |
data_stereo/9.wav
| 50.351882 |
data_stereo/10.wav
| 24.57771 |
data_stereo/11.wav
| 27.281451 |
data_stereo/12.wav
| 28.321293 |
data_stereo/13.wav
| 39.647075 |
data_stereo/14.wav
| 34.196939 |
data_stereo/15.wav
| 26.381134 |
data_stereo/16.wav
| 44.981066 |
data_stereo/17.wav
| 13.837914 |
data_stereo/18.wav
| 28.006939 |
data_stereo/19.wav
| 27.079887 |
data_stereo/20.wav
| 17.649274 |
data_stereo/21.wav
| 47.333401 |
data_stereo/22.wav
| 30.022971 |
data_stereo/23.wav
| 44.878322 |
data_stereo/24.wav
| 60.809161 |
data_stereo/25.wav
| 26.204263 |
data_stereo/26.wav
| 43.247483 |
data_stereo/27.wav
| 25.847551 |
data_stereo/28.wav
| 27.301837 |
data_stereo/29.wav
| 45.118844 |
data_stereo/30.wav
| 28.568027 |
data_stereo/31.wav
| 12.696825 |
data_stereo/32.wav
| 59.958481 |
data_stereo/33.wav
| 21.806417 |
data_stereo/34.wav
| 40.297596 |
data_stereo/35.wav
| 27.261565 |
data_stereo/36.wav
| 19.911633 |
data_stereo/37.wav
| 16.883061 |
data_stereo/38.wav
| 19.116689 |
data_stereo/39.wav
| 17.553016 |
data_stereo/40.wav
| 53.233356 |
data_stereo/41.wav
| 20.91 |
data_stereo/42.wav
| 28.866644 |
data_stereo/43.wav
| 14.997098 |
data_stereo/44.wav
| 26.739751 |
data_stereo/45.wav
| 34.083333 |
data_stereo/46.wav
| 18.585488 |
data_stereo/47.wav
| 31.915896 |
data_stereo/48.wav
| 22.059546 |
data_stereo/49.wav
| 45.268322 |
data_stereo/50.wav
| 49.047166 |
data_stereo/51.wav
| 20.791224 |
data_stereo/52.wav
| 50.416667 |
data_stereo/53.wav
| 22.739796 |
data_stereo/54.wav
| 40.47805 |
data_stereo/55.wav
| 23.720317 |
data_stereo/56.wav
| 30.794104 |
data_stereo/57.wav
| 19.313991 |
data_stereo/58.wav
| 53.16678 |
data_stereo/59.wav
| 36.875986 |
data_stereo/60.wav
| 27.199773 |
data_stereo/61.wav
| 61.396735 |
data_stereo/62.wav
| 59.000091 |
data_stereo/63.wav
| 27.603401 |
data_stereo/64.wav
| 37.795805 |
data_stereo/65.wav
| 11.900907 |
data_stereo/66.wav
| 39.583424 |
data_stereo/67.wav
| 21.565283 |
data_stereo/68.wav
| 14.995805 |
data_stereo/69.wav
| 57.505079 |
data_stereo/70.wav
| 19.484626 |
data_stereo/71.wav
| 10.662109 |
data_stereo/72.wav
| 34.129501 |
data_stereo/73.wav
| 20.991927 |
data_stereo/74.wav
| 14.225873 |
data_stereo/75.wav
| 25.694195 |
data_stereo/76.wav
| 32.897029 |
data_stereo/77.wav
| 22.597574 |
data_stereo/78.wav
| 12.123832 |
data_stereo/79.wav
| 33.779501 |
data_stereo/80.wav
| 19.612766 |
data_stereo/81.wav
| 46.066893 |
data_stereo/82.wav
| 54.498594 |
data_stereo/83.wav
| 62.541814 |
data_stereo/84.wav
| 25.323923 |
data_stereo/85.wav
| 30.630317 |
data_stereo/86.wav
| 11.555057 |
data_stereo/87.wav
| 16.420249 |
data_stereo/88.wav
| 21.305397 |
data_stereo/89.wav
| 50.333333 |
data_stereo/90.wav
| 41.152608 |
data_stereo/91.wav
| 27.798753 |
data_stereo/92.wav
| 36.584399 |
data_stereo/93.wav
| 30.997823 |
data_stereo/94.wav
| 34.60059 |
data_stereo/95.wav
| 44.728753 |
data_stereo/96.wav
| 13.462381 |
data_stereo/97.wav
| 40.453061 |
data_stereo/98.wav
| 74.130612 |
data_stereo/99.wav
| 19.094535 |
End of preview.
DailyTalkContiguous
This repo contains a concatenated version of the DailyTalk dataset (official repo).
Rather than having separate files for each speaker's turn, this uses a stereo file for each conversation. The two speakers in a conversation are put separately on the left and right channels.
The dataset is annotated with word level timestamps.
The original DailyTalk dataset and baseline code are freely available for academic use with CC-BY-SA 4.0 license, this dataset uses the same license.
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