The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError Exception: CastError Message: Couldn't cast python_code: list<item: string> child 0, item: string repo_name: list<item: string> child 0, item: string file_path: list<item: string> child 0, item: string -- schema metadata -- huggingface: '{"info": {"features": {"python_code": {"feature": {"dtype":' + 225 to {'repo_name': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'file_path': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'input_ids': Sequence(feature=Value(dtype='int32', id=None), length=-1, id=None), 'attention_mask': Sequence(feature=Value(dtype='int8', id=None), length=-1, id=None)} because column names don't match Traceback: Traceback (most recent call last): File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 263, in query pa_table = pa.concat_tables( File "pyarrow/table.pxi", line 5245, in pyarrow.lib.concat_tables 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: Schema at index 1 was different: repo_name: list<item: string> file_path: list<item: string> input_ids: list<item: int32> attention_mask: list<item: int8> vs repo_name: list<item: string> file_path: list<item: string> During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 101, in get_rows_content pa_table = rows_index.query(offset=0, length=rows_max_number) File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 412, in query return self.parquet_index.query(offset=offset, length=length) File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 270, in query raise SchemaMismatchError("Parquet files have different schema.", err) libcommon.parquet_utils.SchemaMismatchError: ('Parquet files have different schema.', ArrowInvalid('Schema at index 1 was different: \nrepo_name: list<item: string>\nfile_path: list<item: string>\ninput_ids: list<item: int32>\nattention_mask: list<item: int8>\nvs\nrepo_name: list<item: string>\nfile_path: list<item: string>')) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, in compute compute_first_rows_from_parquet_response( File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 113, in compute_first_rows_from_parquet_response return create_first_rows_response( File "/src/libs/libcommon/src/libcommon/viewer_utils/rows.py", line 134, in create_first_rows_response rows_content = get_rows_content(rows_max_number) File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 108, in get_rows_content raise SplitParquetSchemaMismatchError( libcommon.exceptions.SplitParquetSchemaMismatchError: Split parquet files being processed have different schemas. Ensure all files have identical column names. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/utils.py", line 126, in get_rows_or_raise return get_rows( File "/src/services/worker/src/worker/utils.py", line 64, in decorator return func(*args, **kwargs) File "/src/services/worker/src/worker/utils.py", line 103, in get_rows rows_plus_one = list(itertools.islice(ds, rows_max_number + 1)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1388, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__ for key, pa_table in self.generate_tables_fn(**self.kwargs): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 94, in _generate_tables yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 74, in _cast_table pa_table = table_cast(pa_table, self.info.features.arrow_schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2194, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast python_code: list<item: string> child 0, item: string repo_name: list<item: string> child 0, item: string file_path: list<item: string> child 0, item: string -- schema metadata -- huggingface: '{"info": {"features": {"python_code": {"feature": {"dtype":' + 225 to {'repo_name': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'file_path': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'input_ids': Sequence(feature=Value(dtype='int32', id=None), length=-1, id=None), 'attention_mask': Sequence(feature=Value(dtype='int8', id=None), length=-1, id=None)} because column names don't match
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.
- Downloads last month
- 4