Datasets:

iejMac

/

CLIP-Kinetics700

like 9

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 8 new columns ({'0.151', '0.283', '-5KQ66BBWC4', '0.811', '0.077', '1', '80', '0902'}) and 5 missing columns ({'time_start', 'split', 'label', 'youtube_id', 'time_end'}).

This happened while the csv dataset builder was generating data using

hf://datasets/iejMac/CLIP-Kinetics700/data/annotations/AVA-Kinetics/ava_kinetics_v1_0/ava_train_v2.2.csv (at revision 9e6b82e3134265d63fad9308eb996dbe21b2653c)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              -5KQ66BBWC4: string
              0902: int64
              0.077: double
              0.151: double
              0.283: double
              0.811: double
              80: double
              1: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1142
              to
              {'label': Value(dtype='string', id=None), 'youtube_id': Value(dtype='string', id=None), 'time_start': Value(dtype='int64', id=None), 'time_end': Value(dtype='int64', id=None), 'split': Value(dtype='string', id=None)}
              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 1316, in compute_config_parquet_and_info_response
                  parquet_operations, partial = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2013, 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 8 new columns ({'0.151', '0.283', '-5KQ66BBWC4', '0.811', '0.077', '1', '80', '0902'}) and 5 missing columns ({'time_start', 'split', 'label', 'youtube_id', 'time_end'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/iejMac/CLIP-Kinetics700/data/annotations/AVA-Kinetics/ava_kinetics_v1_0/ava_train_v2.2.csv (at revision 9e6b82e3134265d63fad9308eb996dbe21b2653c)
              
              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)