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
document_sha256: string
page_number: int64
text: string
markdown: string
route: string
route_reasons: list<element: null>
child 0, element: null
engine: string
engine_version: string
mean_confidence: null
validation_status: string
validation_flags: list<element: null>
child 0, element: null
width: double
height: double
to
{'document_sha256': Value('string'), 'size_bytes': Value('int64'), 'media_type': Value('string'), 'record_ids': List(Value('string')), 'source_urls': List(Value('string')), 'house': Value('string'), 'parliament_number': Value('string'), 'session': Value('string'), 'document_number': Value('string'), 'document_date': Value('string'), 'title': Value('string'), 'ministry': Value('string'), 'language': Value('string'), 'page_count': Value('int64'), 'markdown': Value('string'), 'text': Value('string'), 'run_id': Value('int64'), 'engine': Value('string'), 'engine_version': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 129, 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 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/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/python3.14/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/python3.14/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/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
document_sha256: string
page_number: int64
text: string
markdown: string
route: string
route_reasons: list<element: null>
child 0, element: null
engine: string
engine_version: string
mean_confidence: null
validation_status: string
validation_flags: list<element: null>
child 0, element: null
width: double
height: double
to
{'document_sha256': Value('string'), 'size_bytes': Value('int64'), 'media_type': Value('string'), 'record_ids': List(Value('string')), 'source_urls': List(Value('string')), 'house': Value('string'), 'parliament_number': Value('string'), 'session': Value('string'), 'document_number': Value('string'), 'document_date': Value('string'), 'title': Value('string'), 'ministry': Value('string'), 'language': Value('string'), 'page_count': Value('int64'), 'markdown': Value('string'), 'text': Value('string'), 'run_id': Value('int64'), 'engine': Value('string'), 'engine_version': 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.
Sansad Corpus
A provenance-preserving corpus of Lok Sabha and Rajya Sabha documents for non-commercial research. Publications are uploaded in bounded tranches and do not imply completeness unless a release explicitly says so.
Each tranche provides original official PDFs, per-document Markdown, JSON and plain text in WebDataset TAR shards, Zstandard-compressed JSONL, Parquet tables, a DuckDB snapshot, and SHA-256 checksums.
Provenance and limitations
Every document retains its official source URL and SHA-256. Original Parliament material retains its source copyright and must be appropriately attributed. OCR and layout extraction are machine-generated and may contain errors. Treat validation flags as part of the data, not as optional metadata.
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