Training products derived from islamlab/islamic-sciences

README.md

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+---
+license: cc-by-nc-sa-4.0
+pretty_name: "islamlab — Islamic Sciences Training Sets"
+language:
+  - ar
+task_categories:
+  - text-generation
+  - text-retrieval
+  - question-answering
+size_categories:
+  - 1M<n<10M
+tags:
+  - islam
+  - arabic
+  - classical-arabic
+  - continued-pretraining
+  - retrieval
+  - citation
+  - rag
+configs:
+  - config_name: cpt
+    default: true
+    data_files:
+    - split: train
+      path: cpt/train-*.parquet
+  - config_name: retrieval
+    data_files:
+    - split: train
+      path: retrieval/train-*.parquet
+  - config_name: attribution
+    data_files:
+    - split: train
+      path: attribution/train-*.parquet
+  - config_name: eval_retrieval
+    data_files:
+    - split: test
+      path: eval_retrieval/test-*.parquet
+  - config_name: eval_attribution
+    data_files:
+    - split: test
+      path: eval_attribution/test-*.parquet
+---
+
+# islamlab — Islamic Sciences Training Sets
+
+Training data derived from
+[`islamlab/islamic-sciences`](https://huggingface.co/datasets/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 | 380,866 | Apparatus-free, deduplicated text with a provenance header — 1.55B characters |
+| `retrieval` | train | 414,573 | 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 | 64,915 | Citation questions with exact answers |
+| `eval_retrieval` | test | 14,369 | Same shape, held-out works only |
+| `eval_attribution` | test | 16,895 | Same shape, held-out works only |
+
+## The held-out split
+
+The holdout is at the level of the **work**, not the row: 76 of the
+2,607 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؟ | 12,983 |
+| `title` | من أي كتاب أُخذ هذا النص؟ | 12,983 |
+| `science` | في أي علم يُصنَّف هذا الكتاب؟ | 12,983 |
+| `century` | في أي قرن هجري توفي المؤلف؟ | 12,983 |
+| `locus` | في أي جزء وصفحة يقع هذا النص؟ | 12,983 |
+
+`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.
+
+```python
+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`](https://huggingface.co/datasets/islamlab/islamic-sciences) | The corpus itself — eight sciences, 2,607 works |
+| **`islamlab/islamic-sciences-training`** | The training products above |
+| [`quranlab/*`](https://huggingface.co/quranlab) · [`risaleinur/*`](https://huggingface.co/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`](https://huggingface.co/datasets/islamlab/islamic-sciences/blob/main/SOURCES.md)
+on the corpus, which is where the works themselves are acknowledged.
+
+## Citation
+
+```bibtex
+@misc{islamlab_islamic_sciences_training,
+  title  = {islamlab — Islamic Sciences Training Sets},
+  author = {islamlab contributors},
+  year   = {2026},
+  howpublished = {Hugging Face Datasets}
+}
+```

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