Dataset Viewer
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
page_id: int64
paragraphs: list<item: string>
child 0, item: string
requested_title: string
revision_id: int64
revision_timestamp: timestamp[s]
status: string
title: string
url: string
selection: struct<rows: int64, unique_requested_titles: int64>
child 0, rows: int64
child 1, unique_requested_titles: int64
wikipedia: struct<api_url: string, license: struct<name: string, url: string>, user_agent: string>
child 0, api_url: string
child 1, license: struct<name: string, url: string>
child 0, name: string
child 1, url: string
child 2, user_agent: string
format_version: int64
corpus: struct<bytes: int64, path: string, records: int64, sha256: string, status_counts: struct<missing: in (... 16 chars omitted)
child 0, bytes: int64
child 1, path: string
child 2, records: int64
child 3, sha256: string
child 4, status_counts: struct<missing: int64, ok: int64>
child 0, missing: int64
child 1, ok: int64
dataset: struct<selection: struct<count: int64, ordered_ids: list<item: string>, ordered_ids_sha256: string, (... 266 chars omitted)
child 0, selection: struct<count: int64, ordered_ids: list<item: string>, ordered_ids_sha256: string, seed: null, settin (... 10 chars omitted)
child 0, count: int64
child 1, ordered_ids: list<item: string>
child 0, item: string
child 2, ordered_ids_sha256: string
child 3, seed: null
child 4, setting: string
child 1, source: struct<file: string, hf_repo: string, legacy_context_artifact: struct<bundled_file: string, bundled_ (... 127 chars omitted)
child 0, file: string
child 1, hf_repo: string
child 2, legacy_context_artifact: struct<bundled_file: string, bundled_sha256: string, bytes: int64, file: string, note: string, sha25 (... 10 chars omitted)
child 0, bundled_file: string
child 1, bundled_sha256: string
child 2, bytes: int64
child 3, file: string
child 4, note: string
child 5, sha256: string
child 3, license: string
child 4, revision: string
child 5, upstream: string
to
{'corpus': {'bytes': Value('int64'), 'path': Value('string'), 'records': Value('int64'), 'sha256': Value('string'), 'status_counts': {'missing': Value('int64'), 'ok': Value('int64')}}, 'dataset': {'selection': {'count': Value('int64'), 'ordered_ids': List(Value('string')), 'ordered_ids_sha256': Value('string'), 'seed': Value('null'), 'setting': Value('string')}, 'source': {'file': Value('string'), 'hf_repo': Value('string'), 'legacy_context_artifact': {'bundled_file': Value('string'), 'bundled_sha256': Value('string'), 'bytes': Value('int64'), 'file': Value('string'), 'note': Value('string'), 'sha256': Value('string')}, 'license': Value('string'), 'revision': Value('string'), 'upstream': Value('string')}}, 'format_version': Value('int64'), 'selection': {'rows': Value('int64'), 'unique_requested_titles': Value('int64')}, 'wikipedia': {'api_url': Value('string'), 'license': {'name': Value('string'), 'url': Value('string')}, 'user_agent': 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/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, 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
page_id: int64
paragraphs: list<item: string>
child 0, item: string
requested_title: string
revision_id: int64
revision_timestamp: timestamp[s]
status: string
title: string
url: string
selection: struct<rows: int64, unique_requested_titles: int64>
child 0, rows: int64
child 1, unique_requested_titles: int64
wikipedia: struct<api_url: string, license: struct<name: string, url: string>, user_agent: string>
child 0, api_url: string
child 1, license: struct<name: string, url: string>
child 0, name: string
child 1, url: string
child 2, user_agent: string
format_version: int64
corpus: struct<bytes: int64, path: string, records: int64, sha256: string, status_counts: struct<missing: in (... 16 chars omitted)
child 0, bytes: int64
child 1, path: string
child 2, records: int64
child 3, sha256: string
child 4, status_counts: struct<missing: int64, ok: int64>
child 0, missing: int64
child 1, ok: int64
dataset: struct<selection: struct<count: int64, ordered_ids: list<item: string>, ordered_ids_sha256: string, (... 266 chars omitted)
child 0, selection: struct<count: int64, ordered_ids: list<item: string>, ordered_ids_sha256: string, seed: null, settin (... 10 chars omitted)
child 0, count: int64
child 1, ordered_ids: list<item: string>
child 0, item: string
child 2, ordered_ids_sha256: string
child 3, seed: null
child 4, setting: string
child 1, source: struct<file: string, hf_repo: string, legacy_context_artifact: struct<bundled_file: string, bundled_ (... 127 chars omitted)
child 0, file: string
child 1, hf_repo: string
child 2, legacy_context_artifact: struct<bundled_file: string, bundled_sha256: string, bytes: int64, file: string, note: string, sha25 (... 10 chars omitted)
child 0, bundled_file: string
child 1, bundled_sha256: string
child 2, bytes: int64
child 3, file: string
child 4, note: string
child 5, sha256: string
child 3, license: string
child 4, revision: string
child 5, upstream: string
to
{'corpus': {'bytes': Value('int64'), 'path': Value('string'), 'records': Value('int64'), 'sha256': Value('string'), 'status_counts': {'missing': Value('int64'), 'ok': Value('int64')}}, 'dataset': {'selection': {'count': Value('int64'), 'ordered_ids': List(Value('string')), 'ordered_ids_sha256': Value('string'), 'seed': Value('null'), 'setting': Value('string')}, 'source': {'file': Value('string'), 'hf_repo': Value('string'), 'legacy_context_artifact': {'bundled_file': Value('string'), 'bundled_sha256': Value('string'), 'bytes': Value('int64'), 'file': Value('string'), 'note': Value('string'), 'sha256': Value('string')}, 'license': Value('string'), 'revision': Value('string'), 'upstream': Value('string')}}, 'format_version': Value('int64'), 'selection': {'rows': Value('int64'), 'unique_requested_titles': Value('int64')}, 'wikipedia': {'api_url': Value('string'), 'license': {'name': Value('string'), 'url': Value('string')}, 'user_agent': 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.
PopQA Wikipedia Contexts
This dataset supplies the Wikipedia article text that is absent from the
upstream PopQA release. It was generated from the 14,267 rows in
akariasai/PopQA at revision
098765c79ea10a2cb19c828324e33281b8336ec0.
The snapshot contains 12,244 unique requested subject titles:
- 12,204 current Wikipedia articles with plain-text content
- 40 titles that the Wikipedia API reported as missing
Each JSONL record includes the requested and canonical titles, page and revision identifiers, revision timestamp, source URL, retrieval status, and article text split into non-empty paragraphs. Redirects are resolved without changing the title used to join the article back to PopQA.
Files
popqa_contexts.jsonl.gz: deterministic gzip corpus, 45,394,537 bytesmanifest.json: pinned PopQA row provenance, Wikipedia metadata, coverage, and artifact checksum
Corpus SHA-256:
afcc52bd4ab5ebe4f63a249fb305b21de288e8a4eafbf8c73cbd183ec3320482
The resumable generator and title-keyed loader are available in Multi-Hop-Reasoning commit 4c99df3.
Wikipedia article text is licensed under CC BY-SA 4.0. The source URL and exact revision metadata needed for attribution are retained in every successful record.
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