Datasets:

---

hyb1124

/

liveface_hdtf

like 0

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 3 new columns ({'252', '251', '250'})

This happened while the json dataset builder was generating data using

hf://datasets/hyb1124/liveface_hdtf/json/0001_16.json (at revision 2ec437830bc66ea9e102fbffca6643714bff666c)

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 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, 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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              0: list<item: struct<box: struct<x1: double, x2: double, y1: double, y2: double>, class: int64, confidence: double, keypoints: struct<visible: list<item: double>, x: list<item: double>, y: list<item: double>>, name: string, track_id: int64>>
                child 0, item: struct<box: struct<x1: double, x2: double, y1: double, y2: double>, class: int64, confidence: double, keypoints: struct<visible: list<item: double>, x: list<item: double>, y: list<item: double>>, name: string, track_id: int64>
                    child 0, box: struct<x1: double, x2: double, y1: double, y2: double>
                        child 0, x1: double
                        child 1, x2: double
                        child 2, y1: double
                        child 3, y2: double
                    child 1, class: int64
                    child 2, confidence: double
                    child 3, keypoints: struct<visible: list<item: double>, x: list<item: double>, y: list<item: double>>
                        child 0, visible: list<item: double>
                            child 0, item: double
                        child 1, x: list<item: double>
                            child 0, item: double
                        child 2, y: list<item: double>
                            child 0, item: double
                    child 4, name: string
                    child 5, track_id: int64
              1: list<item: struct<box: struct<x1: double, x2: double, y1: double, y2: double>, class: int64, confidence: double, keypoints: struct<visible: list<item: double>, x: list<item: double>, y: list<item: double>>, name: string, track_id: int64>>
                child 0, item: struct<box: struct<x1: double, x2: double, y1: double, y2: double>, class: int64, confidence: 
              ...
                          child 0, item: double
                        child 1, x: list<item: double>
                            child 0, item: double
                        child 2, y: list<item: double>
                            child 0, item: double
                    child 4, name: string
                    child 5, track_id: int64
              252: list<item: struct<box: struct<x1: double, x2: double, y1: double, y2: double>, class: int64, confidence: double, keypoints: struct<visible: list<item: double>, x: list<item: double>, y: list<item: double>>, name: string, track_id: int64>>
                child 0, item: struct<box: struct<x1: double, x2: double, y1: double, y2: double>, class: int64, confidence: double, keypoints: struct<visible: list<item: double>, x: list<item: double>, y: list<item: double>>, name: string, track_id: int64>
                    child 0, box: struct<x1: double, x2: double, y1: double, y2: double>
                        child 0, x1: double
                        child 1, x2: double
                        child 2, y1: double
                        child 3, y2: double
                    child 1, class: int64
                    child 2, confidence: double
                    child 3, keypoints: struct<visible: list<item: double>, x: list<item: double>, y: list<item: double>>
                        child 0, visible: list<item: double>
                            child 0, item: double
                        child 1, x: list<item: double>
                            child 0, item: double
                        child 2, y: list<item: double>
                            child 0, item: double
                    child 4, name: string
                    child 5, track_id: int64
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 27938
              to
              {'0': [{'box': {'x1': Value(dtype='float64', id=None), 'x2': Value(dtype='float64', id=None), 'y1': Value(dtype='float64', id=None), 'y2': Value(dtype='float64', id=None)}, 'class': Value(dtype='int64', id=None), 'confidence': Value(dtype='float64', id=None), 'keypoints': {'visible': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'x': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'y': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}, 'name': Value(dtype='string', id=None), 'track_id': Value(dtype='int64', id=None)}], '1': [{'box': {'x1': Value(dtype='float64', id=None), 'x2': Value(dtype='float64', id=None), 'y1': Value(dtype='float64', id=None), 'y2': Value(dtype='float64', id=None)}, 'class': Value(dtype='int64', id=None), 'confidence': Value(dtype='float64', id=None), 'keypoints': {'visible': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'x': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'y': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}, 'name': Value(dtype='string', id=None), 'track_id': Value(dtype='int64', id=None)}], '2': [{'box': {'x1': Value(dtype='float64', id=None), 'x2': Value(dtype='float64', id=None), 'y1': Value(dtype='float64', id=None), 'y2': Value(dtype='float64', id=None)}, 'class': Value(dtype='int64', id=None), 'confidence': Value(dtype='float64', id=None), 'keypoints': {'visible': Sequence(feature=Value(dtype=
              ...
              : Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'x': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'y': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}, 'name': Value(dtype='string', id=None), 'track_id': Value(dtype='int64', id=None)}], '248': [{'box': {'x1': Value(dtype='float64', id=None), 'x2': Value(dtype='float64', id=None), 'y1': Value(dtype='float64', id=None), 'y2': Value(dtype='float64', id=None)}, 'class': Value(dtype='int64', id=None), 'confidence': Value(dtype='float64', id=None), 'keypoints': {'visible': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'x': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'y': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}, 'name': Value(dtype='string', id=None), 'track_id': Value(dtype='int64', id=None)}], '249': [{'box': {'x1': Value(dtype='float64', id=None), 'x2': Value(dtype='float64', id=None), 'y1': Value(dtype='float64', id=None), 'y2': Value(dtype='float64', id=None)}, 'class': Value(dtype='int64', id=None), 'confidence': Value(dtype='float64', id=None), 'keypoints': {'visible': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'x': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'y': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}, 'name': Value(dtype='string', id=None), 'track_id': Value(dtype='int64', 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 1431, 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 992, 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 1873, 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 3 new columns ({'252', '251', '250'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/hyb1124/liveface_hdtf/json/0001_16.json (at revision 2ec437830bc66ea9e102fbffca6643714bff666c)
              
              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)