islamlab/islamic-sciences-training

islamlab — Islamic Sciences Training Sets

Training data derived from islamlab/islamic-sciences: text for domain adaptation, retrieval pairs with hard negatives, and citation questions whose answers are read out of the corpus rather than written by a model.

Nothing here is generated. Questions come from a fixed set of templates and every answer is a field already present in the corpus. That buys a narrow dataset in exchange for one that cannot teach a model a fact the sources do not contain.

Subsets

config	split	rows	what it is
cpt	train	775,173	Apparatus-free, deduplicated text with a provenance header — 3.18B characters
retrieval	train	901,285	A section heading as the query, a passage from that section as the positive, and hard negatives drawn from elsewhere in the same book
attribution	train	130,200	Citation questions with exact answers
eval_retrieval	test	26,931	Same shape, held-out works only
eval_attribution	test	33,150	Same shape, held-out works only

The held-out split

The holdout is at the level of the work, not the row: 114 of the 3,862 works are assigned to evaluation by a hash of their identifier, and no line of their text appears in cpt, retrieval or attribution. A model trained on the train configs has therefore never read the books it is evaluated on. The assignment is deterministic, so it is the same for everyone.

The tasks in attribution

task	question	rows (train)
author	من مؤلف هذا النص؟	26,040
title	من أي كتاب أُخذ هذا النص؟	26,040
science	في أي علم يُصنَّف هذا الكتاب؟	26,040
century	في أي قرن هجري توفي المؤلف؟	26,040
locus	في أي جزء وصفحة يقع هذا النص؟	26,040

messages is a JSON-encoded chat turn — parse it with json.loads. answer holds the exact expected string. The locus task deliberately includes the honest negative: where the source records no pagination, the answer is لم تُثبَت الصفحة في هذه النسخة rather than an invented page.

Retrieval negatives

Negatives come from the same book as the positive, which is what makes them hard: a chapter of al-Ḥāwī al-Kabīr is separated from another chapter of al-Ḥāwī al-Kabīr by subject alone, not by vocabulary, register or period. negatives is a JSON-encoded list of strings.

import json
from datasets import load_dataset

d = load_dataset("islamlab/islamic-sciences-training", "retrieval", split="train")
row = d[0]
negatives = json.loads(row["negatives"])

Where this sits

Dataset	What it holds
islamlab/islamic-sciences	The corpus itself — eight sciences, 3,862 works
islamlab/islamic-sciences-training	The training products above
quranlab/* · risaleinur/*	Qur'an and hadith; the Risale-i Nur corpus

License

Derived from a corpus licensed CC BY-NC-SA 4.0, and carries the same terms. Credits are in SOURCES.md on the corpus, which is where the works themselves are acknowledged.

Citation

@misc{islamlab_islamic_sciences_training,
  title  = {islamlab — Islamic Sciences Training Sets},
  author = {islamlab contributors},
  year   = {2026},
  howpublished = {Hugging Face Datasets}
}