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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 21 new columns ({'test_wer', 'test_top1_raw_seen', 'test_duplicate_candidates', 'test_top1_raw_at_80pct_coverage', 'test_top1_norm_unseen', 'test_top1_norm_at_80pct_coverage', 'test_top5_raw', 'test_top1_raw_unseen', 'test_seen_frac', 'test_top1_norm', 'test_candidates', 'test_top1_raw', 'test_shortlist_recall', 'run_id', 'test_signer', 'test_top1_raw_at_50pct_coverage', 'test_top1_norm_at_50pct_coverage', 'test_top1_norm_seen', 'test_top5_norm', 'fold', 'test_n'}) and 16 missing columns ({'chunk', 'row_start', 'src_frames', 'n_frames', 'width', 'video_id', 'seconds', 'pose_frac', 'rh_frac', 'rendition', 'height', 'sentence_id', 'fps', 'face_frac', 'row_end', 'lh_frac'}).
This happened while the csv dataset builder was generating data using
hf://datasets/quagrain/nsa-ka/experiments/words-hands-pose-s42-5e88a103/cv_summary.csv (at revision 27a41006497004df4be7df238e75a727632e93dc), ['hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0000_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0001_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0002_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0003_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0004_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0005_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0006_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0007_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0008_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0009_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0010_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0011_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0012_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0013_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0014_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0015_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0016_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0017_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0018_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0019_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0020_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0021_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0022_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0023_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0024_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0025_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0026_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0027_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0028_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0029_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0030_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0031_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0032_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0033_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0034_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0035_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0036_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0037_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0038_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0039_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0040_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0041_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0042_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0043_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0044_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0045_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0046_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0047_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0048_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0049_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0050_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0051_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0052_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0053_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0054_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0055_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0056_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0057_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0058_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0059_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0060_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0061_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0062_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0063_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0064_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0065_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0066_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/experiments/words-hands-pose-s42-5e88a103/cv_summary.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/experiments/words-hands-pose-s42-ebbb3660/cv_summary.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/manifest.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._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
fold: int64
test_signer: string
run_id: string
test_wer: double
test_shortlist_recall: double
test_n: int64
test_candidates: int64
test_duplicate_candidates: int64
test_seen_frac: double
test_top1_raw: double
test_top5_raw: double
test_top1_raw_seen: double
test_top1_raw_unseen: double
test_top1_raw_at_50pct_coverage: double
test_top1_raw_at_80pct_coverage: double
test_top1_norm: double
test_top5_norm: double
test_top1_norm_seen: double
test_top1_norm_unseen: double
test_top1_norm_at_50pct_coverage: double
test_top1_norm_at_80pct_coverage: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3116
to
{'video_id': Value('string'), 'sentence_id': Value('int64'), 'rendition': Value('string'), 'chunk': Value('int64'), 'row_start': Value('int64'), 'row_end': Value('int64'), 'n_frames': Value('int64'), 'src_frames': Value('int64'), 'fps': Value('float64'), 'width': Value('int64'), 'height': Value('int64'), 'pose_frac': Value('float64'), 'face_frac': Value('float64'), 'lh_frac': Value('float64'), 'rh_frac': Value('float64'), 'seconds': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 21 new columns ({'test_wer', 'test_top1_raw_seen', 'test_duplicate_candidates', 'test_top1_raw_at_80pct_coverage', 'test_top1_norm_unseen', 'test_top1_norm_at_80pct_coverage', 'test_top5_raw', 'test_top1_raw_unseen', 'test_seen_frac', 'test_top1_norm', 'test_candidates', 'test_top1_raw', 'test_shortlist_recall', 'run_id', 'test_signer', 'test_top1_raw_at_50pct_coverage', 'test_top1_norm_at_50pct_coverage', 'test_top1_norm_seen', 'test_top5_norm', 'fold', 'test_n'}) and 16 missing columns ({'chunk', 'row_start', 'src_frames', 'n_frames', 'width', 'video_id', 'seconds', 'pose_frac', 'rh_frac', 'rendition', 'height', 'sentence_id', 'fps', 'face_frac', 'row_end', 'lh_frac'}).
This happened while the csv dataset builder was generating data using
hf://datasets/quagrain/nsa-ka/experiments/words-hands-pose-s42-5e88a103/cv_summary.csv (at revision 27a41006497004df4be7df238e75a727632e93dc), ['hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0000_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0001_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0002_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0003_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0004_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0005_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0006_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0007_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0008_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0009_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0010_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0011_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0012_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0013_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0014_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0015_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0016_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0017_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0018_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0019_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0020_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0021_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0022_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0023_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0024_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0025_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0026_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0027_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0028_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0029_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0030_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0031_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0032_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0033_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0034_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0035_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0036_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0037_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0038_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0039_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0040_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0041_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0042_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0043_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0044_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0045_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0046_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0047_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0048_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0049_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0050_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0051_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0052_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0053_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0054_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0055_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0056_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0057_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0058_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0059_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0060_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0061_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0062_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0063_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0064_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0065_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/chunks/s00_c0066_index.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/experiments/words-hands-pose-s42-5e88a103/cv_summary.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/experiments/words-hands-pose-s42-ebbb3660/cv_summary.csv', 'hf://datasets/quagrain/nsa-ka@27a41006497004df4be7df238e75a727632e93dc/manifest.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
video_id string | sentence_id int64 | rendition string | chunk int64 | row_start int64 | row_end int64 | n_frames int64 | src_frames int64 | fps float64 | width int64 | height int64 | pose_frac float64 | face_frac float64 | lh_frac float64 | rh_frac float64 | seconds float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1001D | 1,001 | D | 0 | 0 | 78 | 78 | 156 | 30.006 | 1,920 | 1,080 | 1 | 1 | 0.9231 | 0.8846 | 15.78 |
1000B | 1,000 | B | 0 | 78 | 192 | 114 | 228 | 30.004 | 1,920 | 1,080 | 1 | 0.9825 | 0.8772 | 0.9649 | 23.12 |
1001B | 1,001 | B | 0 | 192 | 314 | 122 | 243 | 30.004 | 1,920 | 1,080 | 1 | 1 | 0.9016 | 0.9672 | 24.23 |
1000A | 1,000 | A | 0 | 314 | 433 | 119 | 237 | 30.004 | 1,920 | 1,080 | 1 | 1 | 0.8739 | 0.9748 | 24.62 |
1001E | 1,001 | E | 0 | 433 | 496 | 63 | 126 | 30.007 | 1,920 | 1,080 | 1 | 1 | 0.3333 | 0.746 | 12.39 |
1002E | 1,002 | E | 0 | 496 | 559 | 63 | 126 | 30.007 | 1,920 | 1,080 | 1 | 1 | 0.3333 | 0.4762 | 12.71 |
1002B | 1,002 | B | 0 | 559 | 636 | 77 | 153 | 30.006 | 1,920 | 1,080 | 1 | 1 | 0.9221 | 0.9351 | 14.65 |
1002D | 1,002 | D | 0 | 636 | 734 | 98 | 196 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.9184 | 0.949 | 19.85 |
1003B | 1,003 | B | 0 | 734 | 825 | 91 | 182 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.978 | 0.989 | 18.28 |
1003E | 1,003 | E | 0 | 825 | 920 | 95 | 190 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.3263 | 0.8421 | 19.27 |
1003D | 1,003 | D | 0 | 920 | 1,050 | 130 | 259 | 30.001 | 1,920 | 1,080 | 1 | 1 | 0.9154 | 0.9538 | 25.54 |
1004B | 1,004 | B | 0 | 1,050 | 1,145 | 95 | 190 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.9579 | 0.9895 | 19.27 |
1004D | 1,004 | D | 0 | 1,145 | 1,232 | 87 | 173 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.8966 | 0.908 | 17.02 |
1004E | 1,004 | E | 0 | 1,232 | 1,295 | 63 | 126 | 30.007 | 1,920 | 1,080 | 1 | 1 | 0.3175 | 0.6667 | 12.12 |
1005E | 1,005 | E | 0 | 1,295 | 1,374 | 79 | 158 | 30.004 | 1,920 | 1,080 | 1 | 1 | 0.6962 | 0.6835 | 16.49 |
1005B | 1,005 | B | 0 | 1,374 | 1,466 | 92 | 184 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.9457 | 0.8913 | 17.84 |
1005D | 1,005 | D | 0 | 1,466 | 1,566 | 100 | 199 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.87 | 0.95 | 19.75 |
1006D | 1,006 | D | 0 | 1,566 | 1,659 | 93 | 185 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.6774 | 0.8925 | 18.19 |
1007B | 1,007 | B | 0 | 1,659 | 1,740 | 81 | 161 | 30.004 | 1,920 | 1,080 | 1 | 1 | 0.5926 | 0.8765 | 16.59 |
1006B | 1,006 | B | 0 | 1,740 | 1,901 | 161 | 322 | 30.001 | 1,920 | 1,080 | 1 | 1 | 0.9876 | 0.9752 | 32.04 |
1006E | 1,006 | E | 0 | 1,901 | 2,037 | 136 | 271 | 30.001 | 1,920 | 1,080 | 1 | 1 | 0.25 | 0.5735 | 26.44 |
1007E | 1,007 | E | 0 | 2,037 | 2,105 | 68 | 135 | 30.007 | 1,920 | 1,080 | 1 | 1 | 0.5441 | 0.7059 | 14.06 |
1007D | 1,007 | D | 0 | 2,105 | 2,195 | 90 | 179 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.9444 | 0.9111 | 18.31 |
1008B | 1,008 | B | 0 | 2,195 | 2,334 | 139 | 277 | 30.001 | 1,920 | 1,080 | 1 | 1 | 0.9784 | 0.9424 | 27.39 |
1008D | 1,008 | D | 0 | 2,334 | 2,466 | 132 | 264 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.9015 | 0.9015 | 26.28 |
1008E | 1,008 | E | 0 | 2,466 | 2,602 | 136 | 271 | 30.001 | 1,920 | 1,080 | 1 | 1 | 0.4559 | 0.625 | 26.72 |
1009D | 1,009 | D | 0 | 2,602 | 2,707 | 105 | 210 | 30.004 | 1,920 | 1,080 | 1 | 1 | 0.8857 | 0.9333 | 20.99 |
100A | 100 | A | 0 | 2,707 | 2,758 | 51 | 102 | 30.009 | 1,920 | 1,080 | 1 | 1 | 0.7059 | 0.8235 | 10.37 |
1009B | 1,009 | B | 0 | 2,758 | 2,948 | 190 | 380 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.4737 | 0.9895 | 37.83 |
1009E | 1,009 | E | 0 | 2,948 | 3,059 | 111 | 221 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.4414 | 0.6126 | 21.35 |
100C | 100 | C | 0 | 3,059 | 3,153 | 94 | 187 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.6489 | 0.8191 | 18.75 |
100D | 100 | D | 0 | 3,153 | 3,243 | 90 | 180 | 30.005 | 1,920 | 1,080 | 1 | 1 | 1 | 0.9667 | 18.13 |
1010D | 1,010 | D | 0 | 3,243 | 3,334 | 91 | 182 | 30.003 | 1,920 | 1,080 | 1 | 0.967 | 0.6374 | 0.8791 | 18.25 |
1010B | 1,010 | B | 0 | 3,334 | 3,474 | 140 | 280 | 30.001 | 1,920 | 1,080 | 1 | 1 | 0.9714 | 0.9786 | 26.95 |
1011B | 1,011 | B | 0 | 3,474 | 3,544 | 70 | 139 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.8857 | 0.9857 | 14.16 |
1010E | 1,010 | E | 0 | 3,544 | 3,621 | 77 | 153 | 30.006 | 1,920 | 1,080 | 1 | 0.961 | 0.4416 | 0.6623 | 15.55 |
1011D | 1,011 | D | 0 | 3,621 | 3,688 | 67 | 133 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.7612 | 0.8806 | 14.04 |
1011E | 1,011 | E | 0 | 3,688 | 3,752 | 64 | 127 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.4062 | 0.6719 | 12.42 |
1012D | 1,012 | D | 0 | 3,752 | 3,826 | 74 | 147 | 30.006 | 1,920 | 1,080 | 1 | 1 | 0.9189 | 0.8919 | 15.01 |
1012E | 1,012 | E | 0 | 3,826 | 3,948 | 122 | 243 | 30.004 | 1,920 | 1,080 | 1 | 1 | 0.4754 | 0.8279 | 24.26 |
1012B | 1,012 | B | 0 | 3,948 | 4,099 | 151 | 302 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.9735 | 0.9801 | 29.48 |
1013D | 1,013 | D | 0 | 4,099 | 4,199 | 100 | 199 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.93 | 0.92 | 20.03 |
1013B | 1,013 | B | 0 | 4,199 | 4,353 | 154 | 307 | 30.001 | 1,920 | 1,080 | 1 | 1 | 0.987 | 0.987 | 31.79 |
1014D | 1,014 | D | 0 | 4,353 | 4,424 | 71 | 142 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.9437 | 0.9296 | 14.08 |
1014B | 1,014 | B | 0 | 4,424 | 4,531 | 107 | 213 | 30.004 | 1,920 | 1,080 | 1 | 1 | 1 | 0.9907 | 21.54 |
1013E | 1,013 | E | 0 | 4,531 | 4,666 | 135 | 269 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.2667 | 0.5852 | 26.06 |
1014E | 1,014 | E | 0 | 4,666 | 4,761 | 95 | 190 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.1263 | 0.6421 | 18.87 |
1015B | 1,015 | B | 0 | 4,761 | 4,866 | 105 | 209 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.9048 | 0.9048 | 21.07 |
1015E | 1,015 | E | 0 | 4,866 | 4,958 | 92 | 184 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.413 | 0.6957 | 18.63 |
1015D | 1,015 | D | 0 | 4,958 | 5,070 | 112 | 224 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.9286 | 0.9286 | 22.71 |
1016B | 1,016 | B | 0 | 5,070 | 5,149 | 79 | 157 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.9494 | 0.9367 | 15.26 |
1016D | 1,016 | D | 0 | 5,149 | 5,250 | 101 | 201 | 30.004 | 1,920 | 1,080 | 1 | 1 | 0.9208 | 0.9505 | 20.52 |
1016E | 1,016 | E | 0 | 5,250 | 5,348 | 98 | 195 | 30.005 | 1,920 | 1,080 | 1 | 1 | 0.4184 | 0.6327 | 19.43 |
1017B | 1,017 | B | 0 | 5,348 | 5,468 | 120 | 239 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.9583 | 0.975 | 23.88 |
1017D | 1,017 | D | 0 | 5,468 | 5,583 | 115 | 230 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.9652 | 0.8783 | 23.3 |
1017E | 1,017 | E | 0 | 5,583 | 5,675 | 92 | 183 | 30.005 | 1,920 | 1,080 | 1 | 1 | 0.2609 | 0.6304 | 18.83 |
1018D | 1,018 | D | 0 | 5,675 | 5,767 | 92 | 184 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.6304 | 0.9022 | 18.79 |
1018E | 1,018 | E | 0 | 5,767 | 5,855 | 88 | 176 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.5 | 0.6364 | 17.71 |
1018B | 1,018 | B | 0 | 5,855 | 5,997 | 142 | 284 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.993 | 0.9437 | 26.33 |
1019E | 1,019 | E | 0 | 5,997 | 6,062 | 65 | 130 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.5077 | 0.6 | 13.43 |
1019D | 1,019 | D | 0 | 6,062 | 6,134 | 72 | 143 | 30.004 | 1,920 | 1,080 | 1 | 1 | 0.8611 | 0.8056 | 14.81 |
1019B | 1,019 | B | 0 | 6,134 | 6,247 | 113 | 225 | 30.004 | 1,920 | 1,080 | 1 | 1 | 0.9469 | 0.9558 | 21.78 |
101A | 101 | A | 0 | 6,247 | 6,334 | 87 | 173 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.7356 | 0.908 | 16.33 |
101D | 101 | D | 0 | 6,334 | 6,414 | 80 | 160 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.9625 | 0.9125 | 16.14 |
1020D | 1,020 | D | 0 | 6,414 | 6,482 | 68 | 136 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.8529 | 0.8824 | 13.88 |
101C | 101 | C | 0 | 6,482 | 6,580 | 98 | 196 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.7551 | 0.7959 | 19.18 |
1020B | 1,020 | B | 0 | 6,580 | 6,688 | 108 | 215 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.9537 | 0.9537 | 21.51 |
1021D | 1,021 | D | 0 | 6,688 | 6,759 | 71 | 142 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.8169 | 0.9155 | 15.14 |
1021B | 1,021 | B | 0 | 6,759 | 6,846 | 87 | 174 | 30.005 | 1,920 | 1,080 | 1 | 1 | 1 | 0.9655 | 16.79 |
1021E | 1,021 | E | 0 | 6,846 | 6,934 | 88 | 175 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.375 | 0.5909 | 17.51 |
1020E | 1,020 | E | 0 | 6,934 | 7,071 | 137 | 274 | 30.001 | 1,920 | 1,080 | 1 | 1 | 0.2044 | 0.5036 | 26.49 |
1022B | 1,022 | B | 0 | 7,071 | 7,168 | 97 | 193 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.8969 | 0.9278 | 19.12 |
1022D | 1,022 | D | 0 | 7,168 | 7,269 | 101 | 201 | 30.004 | 1,920 | 1,080 | 1 | 1 | 0.9604 | 0.9505 | 19.78 |
1023B | 1,023 | B | 0 | 7,269 | 7,341 | 72 | 144 | 30.006 | 1,920 | 1,080 | 1 | 1 | 0.9722 | 0.9167 | 14.32 |
1022E | 1,022 | E | 0 | 7,341 | 7,452 | 111 | 221 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.3423 | 0.5495 | 21.83 |
1023D | 1,023 | D | 0 | 7,452 | 7,514 | 62 | 124 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.9516 | 0.9032 | 11.97 |
1023E | 1,023 | E | 0 | 7,514 | 7,576 | 62 | 124 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.371 | 0.5161 | 12.71 |
1024D | 1,024 | D | 0 | 7,576 | 7,663 | 87 | 173 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.908 | 0.8736 | 17.86 |
1024B | 1,024 | B | 0 | 7,663 | 7,812 | 149 | 297 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.9329 | 0.9799 | 29.28 |
1024E | 1,024 | E | 0 | 7,812 | 7,937 | 125 | 250 | 30.001 | 1,920 | 1,080 | 1 | 1 | 0.744 | 0.872 | 23.8 |
1025D | 1,025 | D | 0 | 7,937 | 8,018 | 81 | 162 | 30.006 | 1,920 | 1,080 | 1 | 1 | 0.8765 | 0.8642 | 17.19 |
1025B | 1,025 | B | 0 | 8,018 | 8,231 | 213 | 426 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.9484 | 0.9718 | 40.65 |
1025E | 1,025 | E | 0 | 8,231 | 8,360 | 129 | 258 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.4496 | 0.5116 | 25.34 |
1026D | 1,026 | D | 0 | 8,360 | 8,445 | 85 | 170 | 30.004 | 1,920 | 1,080 | 1 | 1 | 0.9294 | 0.9412 | 16.94 |
1026E | 1,026 | E | 0 | 8,445 | 8,517 | 72 | 143 | 30.004 | 1,920 | 1,080 | 1 | 1 | 0.6389 | 0.5972 | 13.38 |
1026B | 1,026 | B | 0 | 8,517 | 8,667 | 150 | 299 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.8733 | 0.9467 | 34.28 |
1027D | 1,027 | D | 0 | 8,667 | 8,765 | 98 | 196 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.9388 | 0.9388 | 17.67 |
1027E | 1,027 | E | 0 | 8,765 | 8,839 | 74 | 148 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.2568 | 0.4189 | 14.58 |
1027B | 1,027 | B | 0 | 8,839 | 8,967 | 128 | 256 | 30.001 | 1,920 | 1,080 | 1 | 1 | 0.8906 | 0.8906 | 24.06 |
1028B | 1,028 | B | 0 | 8,967 | 9,076 | 109 | 218 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.9541 | 0.9817 | 21.19 |
1028E | 1,028 | E | 0 | 9,076 | 9,153 | 77 | 154 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.3896 | 0.5714 | 15.57 |
1028D | 1,028 | D | 0 | 9,153 | 9,257 | 104 | 207 | 30.004 | 1,920 | 1,080 | 1 | 1 | 0.9135 | 0.9038 | 20.95 |
1029B | 1,029 | B | 0 | 9,257 | 9,383 | 126 | 251 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.7857 | 0.9524 | 24.23 |
1029D | 1,029 | D | 0 | 9,383 | 9,470 | 87 | 174 | 30.005 | 1,920 | 1,080 | 1 | 1 | 0.8851 | 0.8966 | 17.73 |
102A | 102 | A | 0 | 9,470 | 9,538 | 68 | 135 | 30.007 | 1,920 | 1,080 | 1 | 1 | 0.6765 | 0.7353 | 13.24 |
1029E | 1,029 | E | 0 | 9,538 | 9,639 | 101 | 201 | 30.004 | 1,920 | 1,080 | 1 | 0.9802 | 0.8218 | 0.802 | 20.13 |
102C | 102 | C | 0 | 9,639 | 9,730 | 91 | 181 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.6923 | 0.6593 | 17.57 |
102D | 102 | D | 0 | 9,730 | 9,814 | 84 | 167 | 30.004 | 1,920 | 1,080 | 1 | 1 | 0.9881 | 0.869 | 16.74 |
1030B | 1,030 | B | 0 | 9,814 | 9,914 | 100 | 200 | 30.003 | 1,920 | 1,080 | 1 | 1 | 0.85 | 0.92 | 19.95 |
1030D | 1,030 | D | 0 | 9,914 | 10,000 | 86 | 172 | 30.002 | 1,920 | 1,080 | 1 | 1 | 0.9419 | 0.9419 | 16.63 |
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