Datasets:
The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ParserError
Message: Error tokenizing data. C error: Expected 1 fields in line 10, saw 5
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 249, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
yield from 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/csv/csv.py", line 198, in _generate_tables
for batch_idx, df in enumerate(csv_file_reader):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
return self.get_chunk()
~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
return self.read(nrows=size)
~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1923, in read
) = self._engine.read( # type: ignore[attr-defined]
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
nrows
^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
chunks = self._reader.read_low_memory(nrows)
File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 10, saw 5Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Hebrew Semantic Neighbor Pairs
7,977 Strong's-number pairs of Biblical Hebrew words judged to be synonyms or same tight semantic concept, at a publication-confidence level reached through three independent verification methods rather than any single signal. CC0 — no restricted sources.
Method
This dataset is the confident subset of a larger semantic-neighbor pipeline that combines ten
independent signals: distributional embeddings (BEREL), LXX cross-testament co-rendering, gloss
overlap, an LLM scholarly-prior pass, Brown-Driver-Briggs (1906, public domain) etymological roots,
T'OMIM poetic-parallelism pairs, Hebrew WordNet, BHSA syntactic structure (coordination/apposition via
Context-Fabric), a cross-lingual/Wiktionary-root corroboration tier, and candidates from Radak's Sefer
HaShorashim (a 13th-century Public Domain medieval Hebrew root dictionary, via Sefaria). Individually,
these signals range from weak (35%) to strong (90%).
Rather than trust any single signal's raw output, a pair is published here only if it passes one of three independent confidence gates:
cross_signal— asserted by >= 2 methodologically independent signal families (see thegatecolumn). 70.2% SDBHcore-agreement on its own.llm_verified— pairs that only ever had ONE signal behind them, individually judged by an LLM (Claude Haiku, strict "are these genuinely synonyms in Biblical Hebrew usage" prompt). Only "yes" verdicts included. 69.5% on its own.sefer_hashorashim_verified— candidates from Sefer HaShorashim (words Radak discusses together within one root entry), also LLM-verified the same way. 62.9% on its own (its unique contribution after removing overlap with the other two gates).
1,241 pairs pass more than one gate — that subset scores 78.4%, the highest-confidence layer in the
dataset (see the gate column, "+"-joined for multi-gate pairs).
Columns
| column | meaning |
|---|---|
strong_a / strong_b |
Hebrew Strong's numbers (H####) |
gate |
which confidence check(s) this pair passed — cross_signal, llm_verified, sefer_hashorashim_verified, or a "+"-joined combination |
n_families |
how many independent signal families asserted this pair (0 if only LLM-verified) |
llm_verdict |
yes if LLM-verified (either LLM gate); blank if published via cross-signal agreement alone |
Validation caveat — read before treating the percentages as ground truth
Every accuracy number associated with this pipeline is measured as agreement with SDBH's own domain codes (the Semantic Dictionary of Biblical Hebrew, © United Bible Societies) as an internal proxy — not an independent audit, and not a claim of "correctness." Two things follow:
- SDBH is a scholarly taxonomy, not exhaustive ground truth — a real synonym pair can fail to share an SDBH domain code simply because SDBH's own domain boundaries split it, and (separately) SDBH data itself is licensed "used with permission" (not CC-BY) and is not included or derivable from this dataset — nothing here reproduces SDBH's domain codes or text.
- These percentages describe how well this dataset agrees with one particular scholarly resource, not an absolute correctness rate. Treat them as methodology transparency, not a quality guarantee.
License
CC0-1.0. Built from: BDB (1906, public domain), T'OMIM (CC BY 4.0), Hebrew WordNet (Ordan & Wintner, permissive), Wiktionary (CC BY-SA), BHSA/Context-Fabric (public-domain WLC + CC BY 4.0 ETCBC annotation), Sefer HaShorashim (Radak, c.1185-1235 CE, Public Domain, via Sefaria), and an LLM verification pass (Claude Haiku) — none of these require restricted-use attribution beyond what's already satisfied by citing this dataset.
Provenance
Built by shoresh/macula/build_published_pairs.py in
bcv-commons/bcv-query.
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