Publish validated open Sunni Quran tafsir collection v1.40.0

QUALITY_REPORT.md

@@ -1,6 +1,6 @@
 # Quran Tafsir Dataset — Quality Report
 
-- Validated: `2026-08-07T15:50:41.731211+00:00`
+- Validated: `2026-08-07T16:45:57.568088+00:00`
 - Status: **PASS**
 - Configs: **109**
 - Rows: **679,724**
@@ -13,7 +13,7 @@
 | dataset-card default | PASS | default=['tafsir-ibnkathir-ar'] |
 | dataset-card languages | PASS | declared=['ar', 'as', 'az', 'bn', 'bs', 'en', 'es', 'fa', 'ff', 'fil', 'fr', 'hi', 'id', 'it', 'ja', 'km', 'ku', 'ky', 'ml', 'ps', 'ru', 'si', 'sr', 'sw', 'ta', 'te', 'th', 'tr', 'ug', 'ur', 'uz', 'vi', 'zh'] expected=['ar', 'as', 'az', 'bn', 'bs', 'en', 'es', 'fa', 'ff', 'fil', 'fr', 'hi', 'id', 'it', 'ja', 'km', 'ku', 'ky', 'ml', 'ps', 'ru', 'si', 'sr', 'sw', 'ta', 'te', 'th', 'tr', 'ug', 'ur', 'uz', 'vi', 'zh'] |
 | dataset-card concise terms guidance | PASS | mixed terms declared once with row-level and LICENSES.md guidance |
-| dataset-card concise user-facing content | PASS | body_chars=2214; usage, popular configs, and main columns present; audit internals omitted |
+| dataset-card concise user-facing content | PASS | body_chars=6086; usage, popular configs, and main columns present; audit internals omitted |
 | tafsir-ibnkathir-ar row count | PASS | 6,236 == 6,236 |
 | tafsir-ibnkathir-ar schema | PASS | 22 ordered columns |
 | tafsir-ibnkathir-ar key uniqueness | PASS | unique=6,236 |

README.md

@@ -39,14 +39,35 @@ language:
 task_categories:
   - text-generation
   - question-answering
+  - text-retrieval
+  - summarization
+annotations_creators:
+  - expert-generated
+language_creators:
+  - expert-generated
+  - found
+multilinguality:
+  - multilingual
+source_datasets:
+  - original
+size_categories:
+  - 100K<n<1M
 tags:
   - quran
   - tafsir
   - islam
   - multilingual
   - ahl-sunnah
-size_categories:
-  - 100K<n<1M
+  - exegesis
+  - classical-arabic
+  - verse-aligned
+  - religious-text
+  - low-resource-languages
+  - text
+  - datasets
+  - pandas
+  - dask
+  - mlcroissant
 configs:
   - config_name: tafsir-ibnkathir-ar
     default: true
@@ -539,10 +560,13 @@ Switch the config name to load another tafsir or language.
 
 - `verse_key`: ayah key such as `2:255`
 - `text`: tafsir text, or translation with notes for annotated configs
-- `lang`: language code
-- `author`, `work_title`: work information
-- `source`, `source_url`: source information
-- `has_commentary`, `coverage_status`: text availability
+- `lang`, `tafsir_id`: language and config identity
+- `has_commentary`, `coverage_status`: whether this ayah actually has commentary
+- structural fields: `surah`, `ayah`, `juz`, `page`, `surah_name_ar/en`, …
+
+The work's author, title, school, source and terms are the same for every ayah,
+so they live once per config in
+[`metadata/tafsirs.csv`](metadata/tafsirs.csv) instead of on all 6,236 rows.
 
 Every config uses the same ayah order, from `1:1` to `114:6`. It can be joined
 with [`quranlab/quran`](https://huggingface.co/datasets/quranlab/quran) using
@@ -554,7 +578,87 @@ Annotated-translation configs are clearly named with `annotated`. If a source
 does not provide commentary for an ayah, the row remains present and
 `coverage_status` explains it.
 
-Different configs have different reuse terms. Check the row-level `license`
-field and [`LICENSES.md`](LICENSES.md) for details.
+Different configs have different reuse terms; they are listed per config in
+[`metadata/tafsirs.csv`](metadata/tafsirs.csv) and [`LICENSES.md`](LICENSES.md).
 
 Questions and corrections are welcome in the dataset's **Community** tab.
+
+## For agents and pipelines
+
+Deterministic facts an automated consumer needs, so nothing has to be inferred
+from a sample.
+
+- **Config naming:** `tafsir-{work}-{lang}`
+- **Join key:** `verse_key` — identical order in every config, and the same key used by `quranlab/quran`
+- **Default config:** `tafsir-ibnkathir-ar`
+- **Format:** Parquet, one directory per config, split `train`.
+- **Terms and credit** are per config in `metadata/`, never per row — join on the
+  config name when you need them.
+- **`coverage_status` is the honesty flag.** A row whose source has no commentary for that ayah is present with empty `text` and a status explaining why — never back-filled from a neighbouring ayah.
+- Configs ending in `annotated` are translations carrying explanatory notes, not standalone commentaries.
+
+Inspect it without downloading the data:
+
+```bash
+# every config and split
+curl https://datasets-server.huggingface.co/splits?dataset=quranlab/quran-tafsir
+
+# a first page of rows
+curl "https://datasets-server.huggingface.co/first-rows?dataset=quranlab/quran-tafsir&config=tafsir-ibnkathir-ar&split=train"
+
+# machine-readable schema and provenance (Croissant JSON-LD)
+curl https://huggingface.co/api/datasets/quranlab/quran-tafsir/croissant
+```
+
+Query it in place with SQL — no full download:
+
+```bash
+hf datasets sql quranlab/quran-tafsir "SELECT * FROM 'tafsir-ibnkathir-ar' LIMIT 5"
+```
+
+```python
+import duckdb
+duckdb.sql("SELECT count(*) FROM 'hf://datasets/quranlab/quran-tafsir/tafsir-ibnkathir-ar/*.parquet'")
+```
+
+## Quality, and how to check it yourself
+
+Nothing is released until the integrity gate passes. Every claim below is
+something you can re-run rather than take on trust — here on the published data,
+not in our build tree:
+
+| What is guaranteed | Evidence |
+|---|---|
+| Every config is ayah-complete | 6,236 rows per config in canonical order, 109 configs — no config is published partial |
+| Source text is not paraphrased | each config declares its exact transformation in `text_fidelity`; most are verbatim, and every deviation is a documented, deterministic rendering |
+| Sources are pinned, not loosely scraped | every source witness is fixed to an exact revision and checksum-verified before each build, so a silent upstream edit cannot slip in |
+| Gaps are declared, never invented | missing ayahs are published empty with `coverage_status = source-unavailable`, and the expected gap count and key digest are pinned in the registry |
+| Theology is classified per work | school and Ahl-al-Sunnah status recorded per config, with cautions (Isra'iliyyat, weak narrations) carried in the card rather than hidden |
+| Release gate | 1,781 automated checks — including live re-verification against the original publishers — must pass before anything is published |
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("quranlab/quran-tafsir", "tafsir-ibnkathir-ar", split="train")
+
+assert len(ds) == 6236
+assert ds[0]["verse_key"] == "1:1" and ds[-1]["verse_key"] == "114:6"
+# gaps are labelled, not silently empty
+assert all(r or s for r, s in zip(ds["text"], ds["coverage_status"]))
+```
+
+Where a source is genuinely missing, the row is published **empty and labelled**
+rather than filled by guessing from a neighbouring entry. Coverage numbers in
+this card count only real content.
+
+## Citation
+
+```bibtex
+@misc{quranlab_quran_tafsir_2026,
+  title        = {QuranLab — Multilingual Quran Tafsir Dataset},
+  author       = {QuranLab},
+  year         = {2026},
+  publisher    = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/datasets/quranlab/quran-tafsir}}
+}
+```

metadata/build_manifest.json

@@ -1,6 +1,6 @@
 {
   "schema_version": "1.40.0",
-  "built_at_utc": "2026-08-07T15:26:05.354436+00:00",
+  "built_at_utc": "2026-08-07T16:40:12.153014+00:00",
   "source_dataset": "quranlab/quran (local canonical build)",
   "config_count": 109,
   "expected_rows_per_config": 6236,
@@ -118,7 +118,7 @@
   ],
   "payload_sha256": {
     "LICENSES.md": "140d0534f3b59e47785baf09133b5dfd9f1c31f81ad5a60fc2ecaffa562aff56",
-    "README.md": "2c366e23171cce5d44ab0cd9cfd25a733d1801f23aa6c95330403410ac0edef6",
+    "README.md": "baa50aaa94338ed95ad2c88dd4e1c3751b1cc609e78b0dbd86262002721405c9",
     "metadata/candidate_review_audit.json": "54cd907bce53b66c4b2ac6d75a32d1c70a3f48518baabf24c04fb8f10f49216a",
     "metadata/openiti_tafsir_audit.json": "3cb3bed81e5298c5e891b56428f969de63b56abbb407ea077e96cd703399570d",
     "metadata/qul_api_tafsir_audit.json": "b9d7f31f32fda9c57b4021f9be00733bd9c8c26b10e9dcc5f23a434faa5868b1",

metadata/quality_report.json

@@ -1,6 +1,6 @@
 {
   "schema_version": "1.40.0",
-  "validated_at_utc": "2026-08-07T15:50:41.731211+00:00",
+  "validated_at_utc": "2026-08-07T16:45:57.568088+00:00",
   "status": "pass",
   "config_count": 109,
   "row_count": 679724,
@@ -33,7 +33,7 @@
     {
       "name": "dataset-card concise user-facing content",
       "status": "pass",
-      "detail": "body_chars=2214; usage, popular configs, and main columns present; audit internals omitted"
+      "detail": "body_chars=6086; usage, popular configs, and main columns present; audit internals omitted"
     },
     {
       "name": "tafsir-ibnkathir-ar row count",