Update README.md

README.md

@@ -95,4 +95,129 @@ configs:
   data_files:
   - split: train
     path: queries/train-*
+license: cc-by-4.0
+task_categories:
+- sentence-similarity
+language:
+- az
+tags:
+- retrieval
+- lquad
+- azerbaijani
+pretty_name: LDQuAd v2 Retrieval Dataset
+size_categories:
+- 100K<n<1M
 ---
+# LDQuAd v2 Retrieval Dataset
+
+A retrieval dataset built from [LocalDoc/LDQuAd_v2](https://huggingface.co/datasets/LocalDoc/LDQuAd_v2) — a question-answer dataset over Azerbaijani-language Wikipedia content. Designed for training and evaluating information retrieval, semantic search, and RAG pipelines in Azerbaijani.
+
+## Dataset Configs
+
+The dataset consists of three configs that can be joined via `passage_id`:
+
+### `corpus`
+
+The passage collection — one row per unique content passage.
+
+| Column | Description |
+|---|---|
+| `passage_id` | Unique identifier of the passage (SHA-256 prefix) |
+| `title` | Wikipedia article title |
+| `content` | The text passage |
+
+### `queries`
+
+One question per passage, each as a separate row.
+
+| Column | Description |
+|---|---|
+| `passage_id` | Links to the relevant passage in `corpus` |
+| `title` | Wikipedia article title |
+| `question` | The question in Azerbaijani |
+
+### `hard_negatives`
+
+BM25-mined hard negatives scored by a cross-encoder reranker ([BAAI/bge-reranker-v2-m3](https://huggingface.co/BAAI/bge-reranker-v2-m3)). Each row contains up to 10 hard negative passage IDs with their reranker scores.
+
+| Column | Description |
+|---|---|
+| `passage_id` | Positive passage ID (links to `corpus`) |
+| `question` | The question text in Azerbaijani |
+| `pos_score` | Reranker score of the positive passage |
+| `neg_{k}_id` | passage_id of the k-th hard negative |
+| `neg_{k}_score` | Reranker score of the k-th hard negative |
+
+## Source Dataset
+
+Based on [LocalDoc/LDQuAd_v2](https://huggingface.co/datasets/LocalDoc/LDQuAd_v2) which contains 351,000 question-answer pairs derived from Azerbaijani-language content. Passages were filtered by content length (200–10,000 characters) and deduplicated before building the retrieval corpus.
+
+## Hard Negative Mining Pipeline
+
+1. Unique passages were extracted and deduplicated by content
+2. For each question, top-100 candidates were retrieved using BM25
+3. The positive passage was excluded from candidates
+4. Each candidate was scored with a cross-encoder reranker (BAAI/bge-reranker-v2-m3)
+5. Candidates with scores above 95% of the positive score were filtered out as likely false negatives
+6. Top-10 remaining negatives were kept, sorted by score (hardest first)
+
+## Example
+
+```python
+from datasets import load_dataset
+
+corpus = load_dataset("LocalDoc/ldquad_v2_retrieval", "corpus")["train"]
+queries = load_dataset("LocalDoc/ldquad_v2_retrieval", "queries")["train"]
+hard_negs = load_dataset("LocalDoc/ldquad_v2_retrieval", "hard_negatives")["train"]
+
+# Build lookups
+passage_lookup = {row["passage_id"]: row for row in corpus}
+neg_lookup = {row["passage_id"]: row for row in hard_negs}
+
+# Pick a query
+q = queries[0]
+print(f"Question: {q['question']}")
+
+# Positive passage
+pos = passage_lookup[q["passage_id"]]
+print(f"Positive: {pos['content'][:200]}...")
+
+# Hard negatives
+hn = neg_lookup[q["passage_id"]]
+print(f"Positive score: {hn['pos_score']:.4f}")
+
+for k in range(1, 4):
+    nid = hn[f"neg_{k}_id"]
+    nscore = hn[f"neg_{k}_score"]
+    if nid:
+        neg = passage_lookup[nid]
+        print(f"Neg-{k} [score={nscore:.4f}]: {neg['content'][:200]}...")
+```
+
+### Example Output
+
+```
+Question: 2006/2007-ci il Azərbaycan kubokunda "Xəzər Lənkəran" hansı mərhələdə yarışa qoşuldu?
+
+✅ Positive [score=6.3750]:
+2006/2007-ci il Azərbaycan kubokuna "Xəzər Lənkəran" 1/8 final mərhələsində qoşuldu.
+Lənkəran təmsilçisi "Bakılı" klubunu 4:0 və 3:0 məğlub edərək növbəti mərhələyə keçdi.
+1/4 final mərhələsində Lənkəran təmsilçisinin rəqibi "Bakı FK" oldu...
+
+❌ Neg-1 [score=5.9414]:
+Daha dəqiq olan Lənkəran təmsilçisi 3:5 hesablı qələbə qazandı və növbəti mərhələyə
+keçdi. 1/4 final mərhələsində rəqib Bakının "Rəvan" klubu oldu. "Xəzər Lənkəran"
+hər iki oyunda qalib gəldi (1:2 və 4:1) və növbəti mərhələyə keçdi...
+
+❌ Neg-2 [score=3.2168]:
+Rəqib Gəncənin "Kəpəz" klubu oldu. Reqlamentə əsasən cütlüyün taleyi 1 oyunda həll
+olundu. 1:0 hesablı qələbə qazanan "Xəzər Lənkəran" növbəti mərhələyə keçdi...
+
+❌ Neg-3 [score=2.6895]:
+Ölkə birinciliyində Yakuba Bamba və Edmond Ntiamoah 5, Rəşad Abdullayev və Mario
+Serjio Souza 4, Emin Quliyev, Nadir Nəbiyev və Junior Osvaldo 3, Elmar Baxşıyev 2...
+```
+
+## Contact
+
+For more information, questions, or issues, please contact LocalDoc at [v.resad.89@gmail.com].