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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
book: string
chapter: int64
verses: struct<1: list<item: struct<key: string, kind: string, rule: string, words: list<item: struct<id: st (... 7241 chars omitted)
child 0, 1: list<item: struct<key: string, kind: string, rule: string, words: list<item: struct<id: string, surf (... 30 chars omitted)
child 0, item: struct<key: string, kind: string, rule: string, words: list<item: struct<id: string, surface: string (... 18 chars omitted)
child 0, key: string
child 1, kind: string
child 2, rule: string
child 3, words: list<item: struct<id: string, surface: string, content: bool>>
child 0, item: struct<id: string, surface: string, content: bool>
child 0, id: string
child 1, surface: string
child 2, content: bool
child 1, 2: list<item: struct<key: string, kind: string, rule: string, words: list<item: struct<id: string, surf (... 30 chars omitted)
child 0, item: struct<key: string, kind: string, rule: string, words: list<item: struct<id: string, surface: string (... 18 chars omitted)
child 0, key: string
child 1, kind: string
child 2, rule: string
child 3, words: list<item: struct<id: string, surface: string, content: bool>>
child 0, item: struct<id: string, surface: string, content: bool>
child 0, id: string
child 1, surface: string
child 2, content: bool
...
release: string
child 1, repo: string
child 2, sha256: string
child 3, columns: list<item: string>
child 0, item: string
code: string
layout: struct<repo: string, tag: string, revision: string, columns: list<item: string>>
child 0, repo: string
child 1, tag: string
child 2, revision: string
child 3, columns: list<item: string>
child 0, item: string
schema: int64
chapters_per_book: struct<1CH: int64, 1KI: int64, 1SA: int64, 2CH: int64, 2KI: int64, 2SA: int64, AMO: int64, DAN: int6 (... 374 chars omitted)
child 0, 1CH: int64
child 1, 1KI: int64
child 2, 1SA: int64
child 3, 2CH: int64
child 4, 2KI: int64
child 5, 2SA: int64
child 6, AMO: int64
child 7, DAN: int64
child 8, DEU: int64
child 9, ECC: int64
child 10, EST: int64
child 11, EXO: int64
child 12, EZK: int64
child 13, EZR: int64
child 14, GEN: int64
child 15, HAB: int64
child 16, HAG: int64
child 17, HOS: int64
child 18, ISA: int64
child 19, JDG: int64
child 20, JER: int64
child 21, JOB: int64
child 22, JOL: int64
child 23, JON: int64
child 24, JOS: int64
child 25, LAM: int64
child 26, LEV: int64
child 27, MAL: int64
child 28, MIC: int64
child 29, NAM: int64
child 30, NEH: int64
child 31, NUM: int64
child 32, OBA: int64
child 33, PRO: int64
child 34, PSA: int64
child 35, RUT: int64
child 36, SNG: int64
child 37, ZEC: int64
child 38, ZEP: int64
built: timestamp[s]
chapters: int64
words: int64
segments: int64
books: int64
to
{'schema': Value('int64'), 'built': Value('timestamp[s]'), 'code': Value('string'), 'layout': {'repo': Value('string'), 'tag': Value('string'), 'revision': Value('string'), 'columns': List(Value('string'))}, 'spine': {'release': Value('string'), 'repo': Value('string'), 'sha256': Value('string'), 'columns': List(Value('string'))}, 'books': Value('int64'), 'chapters': Value('int64'), 'segments': Value('int64'), 'words': Value('int64'), 'chapters_per_book': {'1CH': Value('int64'), '1KI': Value('int64'), '1SA': Value('int64'), '2CH': Value('int64'), '2KI': Value('int64'), '2SA': Value('int64'), 'AMO': Value('int64'), 'DAN': Value('int64'), 'DEU': Value('int64'), 'ECC': Value('int64'), 'EST': Value('int64'), 'EXO': Value('int64'), 'EZK': Value('int64'), 'EZR': Value('int64'), 'GEN': Value('int64'), 'HAB': Value('int64'), 'HAG': Value('int64'), 'HOS': Value('int64'), 'ISA': Value('int64'), 'JDG': Value('int64'), 'JER': Value('int64'), 'JOB': Value('int64'), 'JOL': Value('int64'), 'JON': Value('int64'), 'JOS': Value('int64'), 'LAM': Value('int64'), 'LEV': Value('int64'), 'MAL': Value('int64'), 'MIC': Value('int64'), 'NAM': Value('int64'), 'NEH': Value('int64'), 'NUM': Value('int64'), 'OBA': Value('int64'), 'PRO': Value('int64'), 'PSA': Value('int64'), 'RUT': Value('int64'), 'SNG': Value('int64'), 'ZEC': Value('int64'), 'ZEP': Value('int64')}}
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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
book: string
chapter: int64
verses: struct<1: list<item: struct<key: string, kind: string, rule: string, words: list<item: struct<id: st (... 7241 chars omitted)
child 0, 1: list<item: struct<key: string, kind: string, rule: string, words: list<item: struct<id: string, surf (... 30 chars omitted)
child 0, item: struct<key: string, kind: string, rule: string, words: list<item: struct<id: string, surface: string (... 18 chars omitted)
child 0, key: string
child 1, kind: string
child 2, rule: string
child 3, words: list<item: struct<id: string, surface: string, content: bool>>
child 0, item: struct<id: string, surface: string, content: bool>
child 0, id: string
child 1, surface: string
child 2, content: bool
child 1, 2: list<item: struct<key: string, kind: string, rule: string, words: list<item: struct<id: string, surf (... 30 chars omitted)
child 0, item: struct<key: string, kind: string, rule: string, words: list<item: struct<id: string, surface: string (... 18 chars omitted)
child 0, key: string
child 1, kind: string
child 2, rule: string
child 3, words: list<item: struct<id: string, surface: string, content: bool>>
child 0, item: struct<id: string, surface: string, content: bool>
child 0, id: string
child 1, surface: string
child 2, content: bool
...
release: string
child 1, repo: string
child 2, sha256: string
child 3, columns: list<item: string>
child 0, item: string
code: string
layout: struct<repo: string, tag: string, revision: string, columns: list<item: string>>
child 0, repo: string
child 1, tag: string
child 2, revision: string
child 3, columns: list<item: string>
child 0, item: string
schema: int64
chapters_per_book: struct<1CH: int64, 1KI: int64, 1SA: int64, 2CH: int64, 2KI: int64, 2SA: int64, AMO: int64, DAN: int6 (... 374 chars omitted)
child 0, 1CH: int64
child 1, 1KI: int64
child 2, 1SA: int64
child 3, 2CH: int64
child 4, 2KI: int64
child 5, 2SA: int64
child 6, AMO: int64
child 7, DAN: int64
child 8, DEU: int64
child 9, ECC: int64
child 10, EST: int64
child 11, EXO: int64
child 12, EZK: int64
child 13, EZR: int64
child 14, GEN: int64
child 15, HAB: int64
child 16, HAG: int64
child 17, HOS: int64
child 18, ISA: int64
child 19, JDG: int64
child 20, JER: int64
child 21, JOB: int64
child 22, JOL: int64
child 23, JON: int64
child 24, JOS: int64
child 25, LAM: int64
child 26, LEV: int64
child 27, MAL: int64
child 28, MIC: int64
child 29, NAM: int64
child 30, NEH: int64
child 31, NUM: int64
child 32, OBA: int64
child 33, PRO: int64
child 34, PSA: int64
child 35, RUT: int64
child 36, SNG: int64
child 37, ZEC: int64
child 38, ZEP: int64
built: timestamp[s]
chapters: int64
words: int64
segments: int64
books: int64
to
{'schema': Value('int64'), 'built': Value('timestamp[s]'), 'code': Value('string'), 'layout': {'repo': Value('string'), 'tag': Value('string'), 'revision': Value('string'), 'columns': List(Value('string'))}, 'spine': {'release': Value('string'), 'repo': Value('string'), 'sha256': Value('string'), 'columns': List(Value('string'))}, 'books': Value('int64'), 'chapters': Value('int64'), 'segments': Value('int64'), 'words': Value('int64'), 'chapters_per_book': {'1CH': Value('int64'), '1KI': Value('int64'), '1SA': Value('int64'), '2CH': Value('int64'), '2KI': Value('int64'), '2SA': Value('int64'), 'AMO': Value('int64'), 'DAN': Value('int64'), 'DEU': Value('int64'), 'ECC': Value('int64'), 'EST': Value('int64'), 'EXO': Value('int64'), 'EZK': Value('int64'), 'EZR': Value('int64'), 'GEN': Value('int64'), 'HAB': Value('int64'), 'HAG': Value('int64'), 'HOS': Value('int64'), 'ISA': Value('int64'), 'JDG': Value('int64'), 'JER': Value('int64'), 'JOB': Value('int64'), 'JOL': Value('int64'), 'JON': Value('int64'), 'JOS': Value('int64'), 'LAM': Value('int64'), 'LEV': Value('int64'), 'MAL': Value('int64'), 'MIC': Value('int64'), 'NAM': Value('int64'), 'NEH': Value('int64'), 'NUM': Value('int64'), 'OBA': Value('int64'), 'PRO': Value('int64'), 'PSA': Value('int64'), 'RUT': Value('int64'), 'SNG': Value('int64'), 'ZEC': Value('int64'), 'ZEP': 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.
Tanakh Hebrew Clauses
The Hebrew words of every clause segment of the Tanakh, one JSON file per chapter, so that a reader or editor can show the Hebrew beside each clause of a chapter by fetching one file. Built from two pinned bcv-commons releases and nothing else: the segmentation of the Hebrew Bible Clause Layout and the words of the lexeme spine.
| Built | 2026-11-10 by macula/release_tanakh_hebrew_clauses.py (bcv-query cb754cc) |
| Size | 929 chapters, 89,940 segments, 305,517 words |
| Clause layout | bcv-commons/hebrew-clause-layout v0.37, revision f7e58a2211973852d1fd7704dfb86ada34c82672; columns chapter, verse, seg, clause_key, kind, rule, words only |
| Words | lexeme-spine-macula-2026-10-12 from bcv-commons/spine-releases (sha256 f1003a2b19036788bfc063427cb5da1e883181d39c5c87e7ccb79eb5f7bf956d), table spine_words: key, surface, is_content |
Files
data/<BOOK>/<CCC>.json: one chapter (USFM book code, chapter zero-padded to three digits), in Hebrew verse numbering.build.json: the schema (see Versions), build date, layout revision, spine release and its sha256, and the counts.SHA256SUMS: the sha256 of every file.
Fetch a chapter at a pinned revision:
https://huggingface.co/datasets/bcv-commons/tanakh-hebrew-clauses/resolve/<revision>/data/RUT/001.json
{"book": "RUT", "chapter": 1,
"verses": {"1": [
{"key": "080010010011", "kind": "VC", "rule": "V-PP", "words": [
{"id": "08001001001", "surface": "וַיְהִ֗י", "content": true},
{"id": "08001001002", "surface": "בִּימֵי֙", "content": true}]}, ...]}}
| Field | Meaning |
|---|---|
verses |
verse number (string) → the verse's segments in the layout's order (seg). A clause that another clause interrupts appears again for its later piece, with the same key |
key |
the layout's clause_key: the first word key of the clause, shared by all its segments |
kind, rule |
the layout's MACULA clause kind (VC, NC, …) and constituent rule |
words[].id |
the word: the first 11 digits of its MACULA morpheme keys (BBCCCVVVWWW) |
words[].surface |
the word's surface text (WLC, as MACULA Hebrew has it): its morphemes' surfaces joined |
words[].content |
true if any of its morphemes is a content word (noun, verb or adjective) in the spine |
The data holds no English. Glosses, lemmas and morphology are in the spine release, keyed by the morpheme keys (<id> plus a part
digit); join them from there.
Sources and licence
| Part | Source | Licence |
|---|---|---|
Segmentation (key, segment order, which words) |
Hebrew Bible Clause Layout v0.37, bcv-commons: MACULA's clauses cut at word and verse boundaries | CC BY 4.0 |
| Clause kinds and rules, words, surfaces, content flags | MACULA Hebrew (Clear Bible / Biblica), through the lexeme spine | CC BY 4.0 |
| This compilation | bcv-commons | CC BY 4.0 |
No CC BY-SA part of the clause layout is included: not its text (UHB) nor the text-level hierarchy.
Attribution when you use this dataset:
Tanakh Hebrew Clauses, bcv-commons, CC BY 4.0. Segmentation: Hebrew Bible Clause Layout (v0.37), bcv-commons, segmentation CC BY 4.0. Syntax, words (WLC surfaces) and content flags: MACULA Hebrew, Clear Bible / Biblica (CC BY 4.0).
Versions
A new layout or spine release gets a new revision of this dataset; a revision is never changed. Pin the revision.
schema in build.json is the version of the file shape. It is 1 now and goes up only when a field is renamed, dropped or
changes meaning; a new field or new data leaves it unchanged. Such a change is listed here.
Feedback
Issues and requests: bcv-commons/bcv-query.
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