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
id: string
document: string
metadata: struct<verse_id: string, ref: string, book: string, chapter: int64, verse: int64, chunk_type: string (... 225 chars omitted)
child 0, verse_id: string
child 1, ref: string
child 2, book: string
child 3, chapter: int64
child 4, verse: int64
child 5, chunk_type: string
child 6, commentator: string
child 7, work: string
child 8, period: string
child 9, author_he: string
child 10, section: string
child 11, category_path: string
child 12, text_he: string
child 13, text_en: string
child 14, license_he: string
child 15, version_he: string
child 16, license_en: string
child 17, version_en: string
sources: list<item: struct<title: string, he_title: string, period: string, he_license: string, he_version: s (... 78 chars omitted)
child 0, item: struct<title: string, he_title: string, period: string, he_license: string, he_version: string, en_l (... 66 chars omitted)
child 0, title: string
child 1, he_title: string
child 2, period: string
child 3, he_license: string
child 4, he_version: string
child 5, en_license: string
child 6, en_version: string
child 7, chunks: int64
child 8, status: string
license_mix: struct<Public Domain: int64, CC0: int64>
child 0, Public Domain: int64
child 1, CC0: int64
skipped_sources: int64
tier: string
kept_sources: int64
generated_utc: string
to
{'tier': Value('string'), 'generated_utc': Value('string'), 'kept_sources': Value('int64'), 'skipped_sources': Value('int64'), 'license_mix': {'Public Domain': Value('int64'), 'CC0': Value('int64')}, 'sources': List({'title': Value('string'), 'he_title': Value('string'), 'period': Value('string'), 'he_license': Value('string'), 'he_version': Value('string'), 'en_license': Value('string'), 'en_version': Value('string'), 'chunks': Value('int64'), 'status': 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
id: string
document: string
metadata: struct<verse_id: string, ref: string, book: string, chapter: int64, verse: int64, chunk_type: string (... 225 chars omitted)
child 0, verse_id: string
child 1, ref: string
child 2, book: string
child 3, chapter: int64
child 4, verse: int64
child 5, chunk_type: string
child 6, commentator: string
child 7, work: string
child 8, period: string
child 9, author_he: string
child 10, section: string
child 11, category_path: string
child 12, text_he: string
child 13, text_en: string
child 14, license_he: string
child 15, version_he: string
child 16, license_en: string
child 17, version_en: string
sources: list<item: struct<title: string, he_title: string, period: string, he_license: string, he_version: s (... 78 chars omitted)
child 0, item: struct<title: string, he_title: string, period: string, he_license: string, he_version: string, en_l (... 66 chars omitted)
child 0, title: string
child 1, he_title: string
child 2, period: string
child 3, he_license: string
child 4, he_version: string
child 5, en_license: string
child 6, en_version: string
child 7, chunks: int64
child 8, status: string
license_mix: struct<Public Domain: int64, CC0: int64>
child 0, Public Domain: int64
child 1, CC0: int64
skipped_sources: int64
tier: string
kept_sources: int64
generated_utc: string
to
{'tier': Value('string'), 'generated_utc': Value('string'), 'kept_sources': Value('int64'), 'skipped_sources': Value('int64'), 'license_mix': {'Public Domain': Value('int64'), 'CC0': Value('int64')}, 'sources': List({'title': Value('string'), 'he_title': Value('string'), 'period': Value('string'), 'he_license': Value('string'), 'he_version': Value('string'), 'en_license': Value('string'), 'en_version': Value('string'), 'chunks': Value('int64'), 'status': 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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Chavruta.AI — commercial corpus: reference
Licensed text from Sefaria, fetched for commercial use.
Every source was checked against Sefaria's per-edition license field; only editions that
permit commercial reproduction (Public Domain / CC0 / CC-BY / CC-BY-SA) were kept, one
edition per source. Sources with no commercial edition were excluded. Each chunk carries
its license_he/license_en and version_he/version_en.
Not legal advice. NonCommercial (CC-BY-NC) and copyright-restricted text is excluded.
Licence mix (kept, by language-source)
- Public Domain — 19
- CC0 — 6
Kept sources: 20 · Excluded (no commercial edition): 4
Attribution — editions used
Credit for CC-BY / CC-BY-SA editions (and, for transparency, PD/CC0). Each edition is
sourced from Sefaria; full per-source detail is in licenses.json.
| Edition (versionTitle) | Licence | # sources |
|---|---|---|
| Sefaria Community Translation | CC0 | 6 |
| Podgorze, 1905 (Wikisource edition) | Public Domain | 4 |
| Sefer HaShorashim, Berlin 1847 | Public Domain | 2 |
| Sefer HeArukh, Lublin 1883 | Public Domain | 2 |
| A Hebrew and English lexicon of the Old Testament, by Francis Brown. With the co-operation of S. R. Driver and Charles A. Briggs. Oxford, 1906 | Public Domain | 2 |
| London, Luzac, 1903 | Public Domain | 1 |
| A dictionary of the Talmud, London, 1927 | Public Domain | 1 |
| Mahberet Menahem, London, 1854. | Public Domain | 1 |
| Sefer Sefat Yeter, Warsaw 1895 | Public Domain | 1 |
| Sefer haBahur, Isny 1542-Mantua, 1556. | Public Domain | 1 |
| Yair Ozen, Livorno 1792 | Public Domain | 1 |
| Livorno, 1801 | Public Domain | 1 |
| Livorno 1792 | Public Domain | 1 |
| The Jewish spiritual heroes, by Gershom Bader. New York, N.Y. 1940 | Public Domain | 1 |
Excluded sources (no commercial edition on Sefaria)
- Klein Dictionary
- Otzar La'azei Rashi
- Kovetz Yesodot VaChakirot
- Minchah Chadashah
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