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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
0: struct<dict: string, entries: list<item: struct<html: string, trunc: bool>>, more: list<item: string (... 41 chars omitted)
child 0, dict: string
child 1, entries: list<item: struct<html: string, trunc: bool>>
child 0, item: struct<html: string, trunc: bool>
child 0, html: string
child 1, trunc: bool
child 2, more: list<item: string>
child 0, item: string
child 3, forms: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
256: struct<dict: string, entries: list<item: struct<html: string, trunc: bool>>, more: list<item: string (... 41 chars omitted)
child 0, dict: string
child 1, entries: list<item: struct<html: string, trunc: bool>>
child 0, item: struct<html: string, trunc: bool>
child 0, html: string
child 1, trunc: bool
child 2, more: list<item: string>
child 0, item: string
child 3, forms: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
512: struct<dict: string, entries: list<item: struct<html: string, trunc: bool>>, more: list<item: string (... 41 chars omitted)
child 0, dict: string
child 1, entries: list<item: struct<html: string, trunc: bool>>
child 0, item: struct<html: string, trunc: bool>
child 0, html: string
child 1, trunc: bool
child 2, more: list<item: string>
child 0, item: string
child 3, forms: list<item: list<item: string>>
ch
...
html: string, trunc: bool>>
child 0, item: struct<html: string, trunc: bool>
child 0, html: string
child 1, trunc: bool
child 2, more: list<item: null>
child 0, item: null
child 3, forms: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
works: null
stats: struct<works: int64, words: int64, lemmas: int64, phrases: int64, curated_phrases: int64, lexicon_li (... 471 chars omitted)
child 0, works: int64
child 1, words: int64
child 2, lemmas: int64
child 3, phrases: int64
child 4, curated_phrases: int64
child 5, lexicon_links: int64
child 6, quotation_links: int64
child 7, dictionary_entries: struct<LSJ: int64, Lewis & Short: int64>
child 0, LSJ: int64
child 1, Lewis & Short: int64
child 8, extra_dictionary_entries: struct<Middle Liddell: int64, Autenrieth: int64, Abbott-Smith: int64, Lewis Elementary: int64, Smith (... 61 chars omitted)
child 0, Middle Liddell: int64
child 1, Autenrieth: int64
child 2, Abbott-Smith: int64
child 3, Lewis Elementary: int64
child 4, Smith (biography): int64
child 5, Smith (geography): int64
child 6, Bailly: int64
child 9, venetus_lines: int64
child 10, venetus_variants: int64
child 11, scholia: int64
child 12, ai_scholia: int64
child 13, built: timestamp[s]
child 14, version: int64
child 15, edition_notes: int64
child 16, works_with_notes: int64
child 17, note_links: int64
to
{'works': List(Json(decode=True)), 'stats': {'works': Value('int64'), 'words': Value('int64'), 'lemmas': Value('int64'), 'phrases': Value('int64'), 'curated_phrases': Value('int64'), 'lexicon_links': Value('int64'), 'quotation_links': Value('int64'), 'dictionary_entries': {'LSJ': Value('int64'), 'Lewis & Short': Value('int64')}, 'extra_dictionary_entries': {'Middle Liddell': Value('int64'), 'Autenrieth': Value('int64'), 'Abbott-Smith': Value('int64'), 'Lewis Elementary': Value('int64'), 'Smith (biography)': Value('int64'), 'Smith (geography)': Value('int64'), 'Bailly': Value('int64')}, 'venetus_lines': Value('int64'), 'venetus_variants': Value('int64'), 'scholia': Value('int64'), 'ai_scholia': Value('int64'), 'built': Value('timestamp[s]'), 'version': Value('int64'), 'edition_notes': Value('int64'), 'works_with_notes': Value('int64'), 'note_links': 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
0: struct<dict: string, entries: list<item: struct<html: string, trunc: bool>>, more: list<item: string (... 41 chars omitted)
child 0, dict: string
child 1, entries: list<item: struct<html: string, trunc: bool>>
child 0, item: struct<html: string, trunc: bool>
child 0, html: string
child 1, trunc: bool
child 2, more: list<item: string>
child 0, item: string
child 3, forms: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
256: struct<dict: string, entries: list<item: struct<html: string, trunc: bool>>, more: list<item: string (... 41 chars omitted)
child 0, dict: string
child 1, entries: list<item: struct<html: string, trunc: bool>>
child 0, item: struct<html: string, trunc: bool>
child 0, html: string
child 1, trunc: bool
child 2, more: list<item: string>
child 0, item: string
child 3, forms: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
512: struct<dict: string, entries: list<item: struct<html: string, trunc: bool>>, more: list<item: string (... 41 chars omitted)
child 0, dict: string
child 1, entries: list<item: struct<html: string, trunc: bool>>
child 0, item: struct<html: string, trunc: bool>
child 0, html: string
child 1, trunc: bool
child 2, more: list<item: string>
child 0, item: string
child 3, forms: list<item: list<item: string>>
ch
...
html: string, trunc: bool>>
child 0, item: struct<html: string, trunc: bool>
child 0, html: string
child 1, trunc: bool
child 2, more: list<item: null>
child 0, item: null
child 3, forms: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
works: null
stats: struct<works: int64, words: int64, lemmas: int64, phrases: int64, curated_phrases: int64, lexicon_li (... 471 chars omitted)
child 0, works: int64
child 1, words: int64
child 2, lemmas: int64
child 3, phrases: int64
child 4, curated_phrases: int64
child 5, lexicon_links: int64
child 6, quotation_links: int64
child 7, dictionary_entries: struct<LSJ: int64, Lewis & Short: int64>
child 0, LSJ: int64
child 1, Lewis & Short: int64
child 8, extra_dictionary_entries: struct<Middle Liddell: int64, Autenrieth: int64, Abbott-Smith: int64, Lewis Elementary: int64, Smith (... 61 chars omitted)
child 0, Middle Liddell: int64
child 1, Autenrieth: int64
child 2, Abbott-Smith: int64
child 3, Lewis Elementary: int64
child 4, Smith (biography): int64
child 5, Smith (geography): int64
child 6, Bailly: int64
child 9, venetus_lines: int64
child 10, venetus_variants: int64
child 11, scholia: int64
child 12, ai_scholia: int64
child 13, built: timestamp[s]
child 14, version: int64
child 15, edition_notes: int64
child 16, works_with_notes: int64
child 17, note_links: int64
to
{'works': List(Json(decode=True)), 'stats': {'works': Value('int64'), 'words': Value('int64'), 'lemmas': Value('int64'), 'phrases': Value('int64'), 'curated_phrases': Value('int64'), 'lexicon_links': Value('int64'), 'quotation_links': Value('int64'), 'dictionary_entries': {'LSJ': Value('int64'), 'Lewis & Short': Value('int64')}, 'extra_dictionary_entries': {'Middle Liddell': Value('int64'), 'Autenrieth': Value('int64'), 'Abbott-Smith': Value('int64'), 'Lewis Elementary': Value('int64'), 'Smith (biography)': Value('int64'), 'Smith (geography)': Value('int64'), 'Bailly': Value('int64')}, 'venetus_lines': Value('int64'), 'venetus_variants': Value('int64'), 'scholia': Value('int64'), 'ai_scholia': Value('int64'), 'built': Value('timestamp[s]'), 'version': Value('int64'), 'edition_notes': Value('int64'), 'works_with_notes': Value('int64'), 'note_links': 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.
Mouseion: open data for a connected Greek and Latin library
This dataset powers the Mouseion library, a project hosted by Polis – The Jerusalem Institute of Languages and Humanities. Every file is plain JSON and can be reused directly.
Contents
| Path | What it holds |
|---|---|
catalog.json |
Works, editions, translations, citation style, statistics |
text/{work}/{book}.json |
Every word with lemma and grammar code, English translation by section, phrases, links to dictionaries and quotations, manuscript variants (Iliad) |
lines/{work}.json |
Plain text of each citable unit |
lemmas.json, tags.json |
Dictionary forms with short glosses and counts; 9-character grammar codes (Perseus treebank scheme) |
index/{lang}/{n}.json |
Where each dictionary form occurs (work, book, unit, token, grammar) |
forms/{lang}.json |
Accent-free spelling → dictionary forms |
dict/{n}.json |
LSJ and Lewis & Short entries and attested forms |
phrases.json |
Phrase dictionary sample and automatically mined formulae with occurrences |
scholia/{book}.json |
Venetus A scholia on the Iliad, linked to lines, with sample English drafts |
Book files also carry notes (footnotes of the printed edition), noterefs and notecited (passages those notes cite, linked both ways). Works marked hidden in the catalog are duplicate copies of another work.
How it was made
- Texts and translations: Perseus Digital Library and Open Greek and Latin (First Thousand Years of Greek), CC BY-SA.
- Lemmas and grammar: Ancient Greek Dependency Treebank (human-checked) for Homer, Hesiod, Aeschylus and five plays of Sophocles; LatinCy and a Greek spaCy model elsewhere (automatic, marked as such).
- Dictionaries: LSJ and Lewis & Short from the Perseus lexica, CC BY-SA.
- Venetus A text, images and scholia: Homer Multitext project, Creative Commons.
- Editors' notes: footnotes and apparatus of the printed editions, with their citations resolved using the abbreviations of LSJ and Lewis & Short.
- Quotations: shared five-word sequences between earlier and later authors, found automatically.
- AI translations: a few demonstration drafts, labelled and unreviewed.
Derived data is shared under CC BY-SA 4.0; credit the original projects above when reusing it.
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