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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 1 new columns ({'split'})
This happened while the csv dataset builder was generating data using
hf://datasets/croco-corp/pjm-data/splits/split_train_filtered.csv (at revision ba12b3a4f838bb2b0e9264588930241225ba2a74), ['hf://datasets/croco-corp/pjm-data@ba12b3a4f838bb2b0e9264588930241225ba2a74/splits/split_train.csv', 'hf://datasets/croco-corp/pjm-data@ba12b3a4f838bb2b0e9264588930241225ba2a74/splits/split_train_filtered.csv', 'hf://datasets/croco-corp/pjm-data@ba12b3a4f838bb2b0e9264588930241225ba2a74/splits/split_train_ms.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/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
key: string
speaker_id: string
interaction_type: string
sex: string
age: string
min_vocab_pct: double
decision: string
reason: string
flag: string
split: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1406
to
{'key': Value('string'), 'speaker_id': Value('string'), 'interaction_type': Value('string'), 'sex': Value('string'), 'age': Value('string'), 'min_vocab_pct': Value('float64'), 'decision': Value('string'), 'reason': Value('string'), 'flag': Value('string')}
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 1342, 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 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 1 new columns ({'split'})
This happened while the csv dataset builder was generating data using
hf://datasets/croco-corp/pjm-data/splits/split_train_filtered.csv (at revision ba12b3a4f838bb2b0e9264588930241225ba2a74), ['hf://datasets/croco-corp/pjm-data@ba12b3a4f838bb2b0e9264588930241225ba2a74/splits/split_train.csv', 'hf://datasets/croco-corp/pjm-data@ba12b3a4f838bb2b0e9264588930241225ba2a74/splits/split_train_filtered.csv', 'hf://datasets/croco-corp/pjm-data@ba12b3a4f838bb2b0e9264588930241225ba2a74/splits/split_train_ms.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.
key string | speaker_id string | interaction_type string | sex string | age string | min_vocab_pct float64 | decision string | reason string | flag null |
|---|---|---|---|---|---|---|---|---|
001_000_M | F_46-60_001 | monolog | F | 46-60 | 73.47 | keep | keep | null |
001_001_M | F_46-60_001 | monolog | F | 46-60 | 76.99 | keep | keep | null |
001_002_M | F_46-60_001 | monolog | F | 46-60 | 96.95 | keep | keep | null |
001_003_M | F_46-60_001 | monolog | F | 46-60 | 73.47 | keep | keep | null |
001_004_M | F_46-60_001 | monolog | F | 46-60 | 91.48 | keep | keep | null |
001_005_M | F_46-60_001 | monolog | F | 46-60 | 58.04 | keep | keep | null |
001_006_M | F_46-60_001 | monolog | F | 46-60 | 83.95 | keep | keep | null |
001_007_M | F_46-60_001 | monolog | F | 46-60 | 83.31 | keep | keep | null |
001_008_M | F_46-60_001 | monolog | F | 46-60 | 79.21 | keep | keep | null |
001_009_M | F_46-60_001 | monolog | F | 46-60 | 57.55 | keep | keep | null |
001_010_M | F_46-60_001 | monolog | F | 46-60 | 90.38 | keep | keep | null |
001_011_M | F_46-60_001 | monolog | F | 46-60 | 98.36 | keep | keep | null |
001_014_M | F_46-60_001 | monolog | F | 46-60 | 87.59 | keep | keep | null |
001_016_M | F_46-60_001 | monolog | F | 46-60 | 70.81 | keep | keep | null |
001_017_M | F_46-60_001 | monolog | F | 46-60 | 36.59 | keep | keep | null |
001_018_M | F_46-60_001 | monolog | F | 46-60 | 62.09 | keep | keep | null |
001_019_M | F_46-60_001 | monolog | F | 46-60 | 96.45 | keep | keep | null |
001_020_M | F_46-60_001 | monolog | F | 46-60 | 96.59 | keep | keep | null |
001_021_M | F_46-60_001 | monolog | F | 46-60 | 79.21 | keep | keep | null |
001_022_M | F_46-60_001 | monolog | F | 46-60 | 36.59 | keep | keep | null |
001_023_M | F_46-60_001 | monolog | F | 46-60 | 83.31 | keep | keep | null |
001_028_M | F_46-60_001 | monolog | F | 46-60 | 51.84 | keep | keep | null |
001_029_M | F_46-60_001 | monolog | F | 46-60 | 98.1 | keep | keep | null |
001_030_M | F_46-60_001 | monolog | F | 46-60 | 90.4 | keep | keep | null |
001_031_M | F_46-60_001 | monolog | F | 46-60 | 69.72 | keep | keep | null |
001_032_M | F_46-60_001 | monolog | F | 46-60 | 93.69 | keep | keep | null |
001_033_M | F_46-60_001 | monolog | F | 46-60 | 93.7 | keep | keep | null |
001_035_M | F_46-60_001 | monolog | F | 46-60 | 78.83 | keep | keep | null |
001_036_M | F_46-60_001 | monolog | F | 46-60 | 66.41 | keep | keep | null |
001_037_M | F_46-60_001 | monolog | F | 46-60 | 90.12 | keep | keep | null |
001_038_M | F_46-60_001 | monolog | F | 46-60 | 99.06 | keep | keep | null |
001_040_M | F_46-60_001 | monolog | F | 46-60 | 71.81 | keep | keep | null |
001_041_M | F_46-60_001 | monolog | F | 46-60 | 91.22 | keep | keep | null |
001_042_M | F_46-60_001 | monolog | F | 46-60 | 36.59 | keep | keep | null |
001_043_M | F_46-60_001 | monolog | F | 46-60 | 91.22 | keep | keep | null |
001_044_M | F_46-60_001 | monolog | F | 46-60 | 84.15 | keep | keep | null |
001_045_M | F_46-60_001 | monolog | F | 46-60 | 66.41 | keep | keep | null |
001_046_M | F_46-60_001 | monolog | F | 46-60 | 92.18 | keep | keep | null |
001_047_M | F_46-60_001 | monolog | F | 46-60 | 87.12 | keep | keep | null |
001_048_M | F_46-60_001 | monolog | F | 46-60 | 96.96 | keep | keep | null |
001_049_M | F_46-60_001 | monolog | F | 46-60 | 99.06 | keep | keep | null |
001_050_M | F_46-60_001 | monolog | F | 46-60 | 79.21 | keep | keep | null |
001_052_M | F_46-60_001 | monolog | F | 46-60 | 84.31 | keep | keep | null |
001_053_M | F_46-60_001 | monolog | F | 46-60 | 74.45 | keep | keep | null |
001_054_M | F_46-60_001 | monolog | F | 46-60 | 65.42 | keep | keep | null |
001_056_M | F_46-60_001 | monolog | F | 46-60 | 77.28 | keep | keep | null |
001_057_M | F_46-60_001 | monolog | F | 46-60 | 74.45 | keep | keep | null |
001_058_M | F_46-60_001 | monolog | F | 46-60 | 74.8 | keep | keep | null |
001_059_M | F_46-60_001 | monolog | F | 46-60 | 96.78 | keep | keep | null |
001_060_M | F_46-60_001 | monolog | F | 46-60 | 75.46 | keep | keep | null |
001_061_M | F_46-60_001 | monolog | F | 46-60 | 63.85 | keep | keep | null |
001_064_M | F_46-60_001 | monolog | F | 46-60 | 90.26 | keep | keep | null |
001_065_M | F_46-60_001 | monolog | F | 46-60 | 76.32 | keep | keep | null |
001_066_M | F_46-60_001 | monolog | F | 46-60 | 36.59 | keep | keep | null |
001_067_M | F_46-60_001 | monolog | F | 46-60 | 88.27 | keep | keep | null |
001_069_M | F_46-60_001 | monolog | F | 46-60 | 77.13 | keep | keep | null |
001_070_M | F_46-60_001 | monolog | F | 46-60 | 66.57 | keep | keep | null |
001_071_M | F_46-60_001 | monolog | F | 46-60 | 70.81 | keep | keep | null |
001_072_M | F_46-60_001 | monolog | F | 46-60 | 70.81 | keep | keep | null |
001_073_M | F_46-60_001 | monolog | F | 46-60 | 91.34 | keep | keep | null |
001_074_M | F_46-60_001 | monolog | F | 46-60 | 36.59 | keep | keep | null |
001_075_M | F_46-60_001 | monolog | F | 46-60 | 66.57 | keep | keep | null |
001_076_M | F_46-60_001 | monolog | F | 46-60 | 90.26 | keep | keep | null |
001_077_M | F_46-60_001 | monolog | F | 46-60 | 90.26 | keep | keep | null |
001_078_M | F_46-60_001 | monolog | F | 46-60 | 46.61 | keep | keep | null |
001_079_M | F_46-60_001 | monolog | F | 46-60 | 37.67 | keep | keep | null |
001_081_M | F_46-60_001 | monolog | F | 46-60 | 93.5 | keep | keep | null |
001_083_M | F_46-60_001 | monolog | F | 46-60 | 87.78 | keep | keep | null |
001_085_M | F_46-60_001 | monolog | F | 46-60 | 91.58 | keep | keep | null |
001_086_M | F_46-60_001 | monolog | F | 46-60 | 37.67 | keep | keep | null |
001_087_M | F_46-60_001 | monolog | F | 46-60 | 90.26 | keep | keep | null |
001_088_M | F_46-60_001 | monolog | F | 46-60 | 84.86 | keep | keep | null |
001_089_M | F_46-60_001 | monolog | F | 46-60 | 91.1 | keep | keep | null |
001_090_M | F_46-60_001 | monolog | F | 46-60 | 97.83 | keep | keep | null |
001_091_M | F_46-60_001 | monolog | F | 46-60 | 79.82 | keep | keep | null |
001_092_M | F_46-60_001 | monolog | F | 46-60 | 99.06 | keep | keep | null |
001_093_M | F_46-60_001 | monolog | F | 46-60 | 71.81 | keep | keep | null |
001_094_M | F_46-60_001 | monolog | F | 46-60 | 79.51 | keep | keep | null |
004_000_M | M_32-45_011 | monolog | M | 32-45 | 82.77 | keep | keep | null |
004_002_M | M_32-45_011 | monolog | M | 32-45 | 76.69 | keep | keep | null |
004_003_M | M_32-45_011 | monolog | M | 32-45 | 79.82 | keep | keep | null |
004_004_M | M_32-45_011 | monolog | M | 32-45 | 97.14 | keep | keep | null |
004_005_M | M_32-45_011 | monolog | M | 32-45 | 83.22 | keep | keep | null |
004_006_M | M_32-45_011 | monolog | M | 32-45 | 94.48 | keep | keep | null |
004_007_M | M_32-45_011 | monolog | M | 32-45 | 96.6 | keep | keep | null |
004_008_M | M_32-45_011 | monolog | M | 32-45 | 83.22 | keep | keep | null |
004_009_M | M_32-45_011 | monolog | M | 32-45 | 57.8 | keep | keep | null |
004_010_M | M_32-45_011 | monolog | M | 32-45 | 88.9 | keep | keep | null |
004_011_M | M_32-45_011 | monolog | M | 32-45 | 84.74 | keep | keep | null |
004_012_M | M_32-45_011 | monolog | M | 32-45 | 93.36 | keep | keep | null |
004_013_M | M_32-45_011 | monolog | M | 32-45 | 91.58 | keep | keep | null |
004_014_M | M_32-45_011 | monolog | M | 32-45 | 84.31 | keep | keep | null |
004_015_M | M_32-45_011 | monolog | M | 32-45 | 91.78 | keep | keep | null |
004_016_M | M_32-45_011 | monolog | M | 32-45 | 79.02 | keep | keep | null |
004_018_M | M_32-45_011 | monolog | M | 32-45 | 79.51 | keep | keep | null |
004_019_M | M_32-45_011 | monolog | M | 32-45 | 64.57 | keep | keep | null |
004_020_M | M_32-45_011 | monolog | M | 32-45 | 86.5 | keep | keep | null |
004_021_M | M_32-45_011 | monolog | M | 32-45 | 74.02 | keep | keep | null |
004_022_M | M_32-45_011 | monolog | M | 32-45 | 91.36 | keep | keep | null |
004_023_M | M_32-45_011 | monolog | M | 32-45 | 91.8 | keep | keep | null |
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