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
discipline: string
author_slug: string
book_slug: string
tier: string
copy_slug: string
title_arabic: string
title_english: string
author_arabic: string
author_english: string
editor_or_translator: string
publication_year: int64
language: string
description_arabic: string
source_repository: string
archive_identifier: string
pdf_filename: string
pdf_size_bytes: int64
pdf_size_mb: double
license: string
repository_path: string
work_title_ar: string
year_hijri: string
author_ar: string
description: string
edition_name_ar: string
edition_type: string
year_gregorian: string
institution_or_publisher: string
edition_name_en: string
author_en: string
shelfmark_or_id: string
files: list<item: string>
child 0, item: string
discipline_ar: string
work_title_en: string
author_dates: struct<birth_hijri: int64, death_hijri: int64, birth_gregorian: int64, death_gregorian: int64>
child 0, birth_hijri: int64
child 1, death_hijri: int64
child 2, birth_gregorian: int64
child 3, death_gregorian: int64
to
{'work_title_ar': Value('string'), 'work_title_en': Value('string'), 'author_ar': Value('string'), 'author_en': Value('string'), 'author_dates': {'birth_hijri': Value('int64'), 'death_hijri': Value('int64'), 'birth_gregorian': Value('int64'), 'death_gregorian': Value('int64')}, 'discipline': Value('string'), 'discipline_ar': Value('string'), 'edition_name_ar': Value('string'), 'edition_name_en': Value('string'), 'edition_type': Value('string'), 'institution_or_publisher': Value('string'), 'shelfmark_or_id': Value('string'), 'year_gregorian': Value('string'), 'year_hijri': Value('string'), 'language': Value('string'), 'description': Value('string'), 'files': List(Value('string'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: string
discipline: string
author_slug: string
book_slug: string
tier: string
copy_slug: string
title_arabic: string
title_english: string
author_arabic: string
author_english: string
editor_or_translator: string
publication_year: int64
language: string
description_arabic: string
source_repository: string
archive_identifier: string
pdf_filename: string
pdf_size_bytes: int64
pdf_size_mb: double
license: string
repository_path: string
work_title_ar: string
year_hijri: string
author_ar: string
description: string
edition_name_ar: string
edition_type: string
year_gregorian: string
institution_or_publisher: string
edition_name_en: string
author_en: string
shelfmark_or_id: string
files: list<item: string>
child 0, item: string
discipline_ar: string
work_title_en: string
author_dates: struct<birth_hijri: int64, death_hijri: int64, birth_gregorian: int64, death_gregorian: int64>
child 0, birth_hijri: int64
child 1, death_hijri: int64
child 2, birth_gregorian: int64
child 3, death_gregorian: int64
to
{'work_title_ar': Value('string'), 'work_title_en': Value('string'), 'author_ar': Value('string'), 'author_en': Value('string'), 'author_dates': {'birth_hijri': Value('int64'), 'death_hijri': Value('int64'), 'birth_gregorian': Value('int64'), 'death_gregorian': Value('int64')}, 'discipline': Value('string'), 'discipline_ar': Value('string'), 'edition_name_ar': Value('string'), 'edition_name_en': Value('string'), 'edition_type': Value('string'), 'institution_or_publisher': Value('string'), 'shelfmark_or_id': Value('string'), 'year_gregorian': Value('string'), 'year_hijri': Value('string'), 'language': Value('string'), 'description': Value('string'), 'files': List(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.
๐ Islamic Scientific Heritage Digital Corpus (450 Landmark Volumes)
ุงูู ุฏููุฉ ุงูุฑูู ูุฉ ุงูุดุงู ูุฉ ููุชุฑุงุซ ุงูุนูู ู ุงูุนุฑุจู ูุงูุฅุณูุงู ู
๐ Overview / ูุธุฑุฉ ุนุงู ุฉ
The Islamic Scientific Heritage Digital Corpus is an exhaustive, systematically organized open digital repository preserving and structuring primary historical scientific sources from the Islamic Golden Age and classical Islamic civilization (8thโ18th centuries CE).
The corpus features complete coverage of primary texts across 6 core scientific disciplines, curated in exact historical tiers:
01_original_manuscript_facsimile: High-resolution facsimiles of ancient codices (Topkapi, Paris, Escorial, Berlin, McGill, Leiden, Columbia, NLM, Sรผleymaniye).02_critical_arabic_edition: Authoritative scholarly editions (editio princeps, BGA Brill, Hyderabad Osmania, Dar al-Kutub al-Misriyyah, Institut franรงais d'archรฉologie orientale, Damascus Arab Academy).03_scholarly_translations: Classical Latin medieval translations (Translatio Toletana, Gerard of Cremona, Plato of Tivoli) and foundational European critical translations (Sรฉdillot, Reinaud, Jaubert, Steinschneider, Kraus, Bos).
๐ Corpus Statistics (Live Repository)
- Total Historical Volumes (PDFs): 450 volumes
- Total Structured Archival Files: 2,146 files (100% full 4/4 quartets)
- Total Corpus Volume: ~18.7 GB
- Full Archival Quartets per Volume:
[filename].pdf: High-resolution historical text.schema_metadata.json: Rich standardized metadata.metadata.csv: Tabular metadata record.metadata.parquet: High-performance binary columnar record.
Discipline Distribution:
01_medicine: 98 volumes02_astronomy: 46 volumes03_mathematics: 71 volumes04_optics_mechanics_chemistry: 47 volumes05_natural_history: 105 volumes06_encyclopedias_institutions: 83 volumes
Tier Distribution:
01_original_manuscript_facsimile: 43 volumes02_critical_arabic_edition: 258 volumes03_scholarly_translations: 149 volumes
๐๏ธ Corpus Structure & Strict Hierarchy (Depth 6)
Every volume strictly adheres to the 6-level taxonomy:
[discipline] / [author_slug] / [book_slug] / [tier_slug] / [copy_slug] / [files]
Example:
03_mathematics/
โโโ abu_yusuf_yaqub_ibn_ishaq_al_kindi_d256h/
โโโ risalah_fi_istikhraj_al_muamma/
โโโ 02_critical_arabic_edition/
โโโ mrayati_miralam_tayyan_damascus_1987_vol01/
โโโ al_kindi_istikhraj_al_muamma_damascus_vol01.pdf
โโโ schema_metadata.json
โโโ metadata.csv
โโโ metadata.parquet
๐ฌ Wave 11 Landmark Additions:
- Al-Kindi (d. 256 AH): Risalah fi Istikhraj al-Mu'amma (Arab Academy of Damascus 1987, Vol 1: Birth of cryptanalysis, frequency analysis, and deciphering ciphers).
- Ibn Durayhim & Ibn Dunaynir: Miftah al-Kunuz fi Idah al-Marmuz (Arab Academy of Damascus 1997, Vol 2: Polyalphabetic substitution and permutation mathematics).
- Al-Tifashi (d. 651 AH): Azhar al-Afkar fi Jawahir al-Ahjar (Antonio Raineri Biscia, Florence 1818: First bilingual Arabic-Italian edition on mineralogy, gemstones, and specific gravity).
- Abu Bakr al-Razi (Rhazes, d. 313 AH): Kitab al-Shukuk 'ala Jalinus (Mehdi Mohaghegh, Tehran/McGill 1993: Foundational text of the experimental method and critique of Galenic physiology).
- Abu Bakr al-Razi: Al-Tibb al-Ruhani & Opera Philosophica Fragmentaque (Paul Kraus, Cairo 1939 editio princeps: Psychological medicine and medical ethics).
- Ibn Zuhr (Avenzoar, d. 557 AH): Kitab al-Aghdhiya (Classical Andalusian treatise on medical nutrition and dietetics).
- Al-Qalqashandi: Subh al-A'sha fi Sina'at al-Insha (Dar al-Kutub al-Misriyyah, Vols 5, 6, 7, 8, 9, 10: Regional geography, state protocols, chancellery ciphers, treaties, and decrees).
- Al-Nuwayri: Nihayat al-Arab fi Funun al-Adab (Dar al-Kutub al-Misriyyah, Vols 9, 11, 13, 14: Marine fauna & aquatic biology, mountains & mineral resources, ethnography & climes, and dynastic history).
๐ Citation & Attribution
@dataset{islamic_scientific_heritage_2026,
author = {Islamic Scientific Heritage Digital Corpus Project},
title = {Islamic Scientific Heritage Digital Corpus (450 Landmark Volumes)},
year = {2026},
publisher = {Hugging Face},
version = {11.0},
url = {https://huggingface.co/datasets/hozifa1/islamic-scientific-heritage}
}
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