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
buyer: string
seller: string
date: string
use_case: string
pricing_mechanism: string
exclusivity: string
modality: string
creator_compensated: bool
missing_reasons: struct<buyer: string, deal_type: string, financial_terms: string>
child 0, buyer: string
child 1, deal_type: string
child 2, financial_terms: string
source_url: string
source_text: string
ingested_from: string
fetch_date: string
confirmed_by: list<element: string>
child 0, element: string
financial_terms_value: string
financial_terms_source_url: string
financial_terms_confidence: string
-- schema metadata --
huggingface: '{"info": {"features": {"buyer": {"dtype": "string", "_type"' + 1067
to
{'buyer': Value('string'), 'seller': Value('string'), 'date': Value('string'), 'use_case': Value('string'), 'pricing_mechanism': Value('string'), 'exclusivity': Value('string'), 'modality': Value('string'), 'creator_compensated': Value('bool'), 'missing_reasons': {'buyer': Value('string'), 'date': Value('string'), 'deal_type': Value('string'), 'financial_terms': Value('string')}, 'source_url': Value('string'), 'source_text': Value('string'), 'ingested_from': Value('string'), 'fetch_date': Value('string'), 'financial_terms_value': Value('string'), 'financial_terms_source_url': Value('string'), 'financial_terms_confidence': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, 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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, 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 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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 209, 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 147, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
buyer: string
seller: string
date: string
use_case: string
pricing_mechanism: string
exclusivity: string
modality: string
creator_compensated: bool
missing_reasons: struct<buyer: string, deal_type: string, financial_terms: string>
child 0, buyer: string
child 1, deal_type: string
child 2, financial_terms: string
source_url: string
source_text: string
ingested_from: string
fetch_date: string
confirmed_by: list<element: string>
child 0, element: string
financial_terms_value: string
financial_terms_source_url: string
financial_terms_confidence: string
-- schema metadata --
huggingface: '{"info": {"features": {"buyer": {"dtype": "string", "_type"' + 1067
to
{'buyer': Value('string'), 'seller': Value('string'), 'date': Value('string'), 'use_case': Value('string'), 'pricing_mechanism': Value('string'), 'exclusivity': Value('string'), 'modality': Value('string'), 'creator_compensated': Value('bool'), 'missing_reasons': {'buyer': Value('string'), 'date': Value('string'), 'deal_type': Value('string'), 'financial_terms': Value('string')}, 'source_url': Value('string'), 'source_text': Value('string'), 'ingested_from': Value('string'), 'fetch_date': Value('string'), 'financial_terms_value': Value('string'), 'financial_terms_source_url': Value('string'), 'financial_terms_confidence': Value('string')}
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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