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
chunk_id: large_string
source_name: large_string
source_kind: large_string
file_path: large_string
file_extension: large_string
file_size: int64
language: large_string
content: large_string
imports: large_string
classes: large_string
functions: large_string
methods: large_string
quality_score: int64
duplicate_score: int64
noise_score: double
lang_confidence: double
content_density: double
char_count: int64
word_count: int64
token_count: int64
-- schema metadata --
huggingface: '{"info": {"features": {"chunk_id": {"dtype": "large_string"' + 1095
to
{'chunk_id': Value('large_string'), 'source_name': Value('large_string'), 'source_kind': Value('large_string'), 'file_path': Value('large_string'), 'file_extension': Value('large_string'), 'file_size': Value('int64'), 'language': Value('large_string'), 'text': Value('large_string'), 'quality_score': Value('int64'), 'duplicate_score': Value('int64'), 'noise_score': Value('float64'), 'lang_confidence': Value('int64'), 'content_density': Value('float64'), 'char_count': Value('int64'), 'word_count': Value('int64'), 'token_count': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 220, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
chunk_id: large_string
source_name: large_string
source_kind: large_string
file_path: large_string
file_extension: large_string
file_size: int64
language: large_string
content: large_string
imports: large_string
classes: large_string
functions: large_string
methods: large_string
quality_score: int64
duplicate_score: int64
noise_score: double
lang_confidence: double
content_density: double
char_count: int64
word_count: int64
token_count: int64
-- schema metadata --
huggingface: '{"info": {"features": {"chunk_id": {"dtype": "large_string"' + 1095
to
{'chunk_id': Value('large_string'), 'source_name': Value('large_string'), 'source_kind': Value('large_string'), 'file_path': Value('large_string'), 'file_extension': Value('large_string'), 'file_size': Value('int64'), 'language': Value('large_string'), 'text': Value('large_string'), 'quality_score': Value('int64'), 'duplicate_score': Value('int64'), 'noise_score': Value('float64'), 'lang_confidence': Value('int64'), 'content_density': Value('float64'), 'char_count': Value('int64'), 'word_count': Value('int64'), 'token_count': Value('int64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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