Add dataset README

README.md

@@ -1,104 +1,142 @@
 ---
-dataset_info:
-- config_name: answers
-  features:
-  - name: query_id
-    dtype: string
-  - name: answer
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 299463
-    num_examples: 2101
-  - name: dev
-    num_bytes: 137787
-    num_examples: 890
-  - name: test
-    num_bytes: 215656
-    num_examples: 1310
-  download_size: 465337
-  dataset_size: 652906
-- config_name: corpus
-  features:
-  - name: id
-    dtype: string
-  - name: title
-    dtype: string
-  - name: section_name
-    dtype: string
-  - name: text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 49057720
-    num_examples: 81550
-  download_size: 20240771
-  dataset_size: 49057720
-- config_name: qrels
-  features:
-  - name: query_id
-    dtype: string
-  - name: corpus_id
-    dtype: string
-  - name: score
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 274680
-    num_examples: 3815
-  - name: dev
-    num_bytes: 137736
-    num_examples: 1913
-  - name: test
-    num_bytes: 247248
-    num_examples: 3434
-  download_size: 253754
-  dataset_size: 659664
-- config_name: queries
-  features:
-  - name: id
-    dtype: string
-  - name: text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 210020
-    num_examples: 2101
-  - name: dev
-    num_bytes: 86060
-    num_examples: 890
-  - name: test
-    num_bytes: 125955
-    num_examples: 1310
-  download_size: 299867
-  dataset_size: 422035
+license: cc-by-4.0
+task_categories:
+  - question-answering
+  - text-retrieval
+language:
+  - en
+tags:
+  - rag
+  - qasper
+  - scientific-qa
+  - retrieval
+size_categories:
+  - 10K<n<100K
 configs:
-- config_name: answers
-  data_files:
-  - split: train
-    path: answers/train-*
-  - split: dev
-    path: answers/dev-*
-  - split: test
-    path: answers/test-*
-- config_name: corpus
-  data_files:
-  - split: train
-    path: corpus/train-*
-- config_name: qrels
-  data_files:
-  - split: train
-    path: qrels/train-*
-  - split: dev
-    path: qrels/dev-*
-  - split: test
-    path: qrels/test-*
-- config_name: queries
-  data_files:
-  - split: train
-    path: queries/train-*
-  - split: dev
-    path: queries/dev-*
-  - split: test
-    path: queries/test-*
+  - config_name: corpus
+    data_files:
+      - split: train
+        path: corpus/*
+  - config_name: queries
+    data_files:
+      - split: train
+        path: queries/train*
+      - split: dev
+        path: queries/dev*
+      - split: test
+        path: queries/test*
+  - config_name: qrels
+    data_files:
+      - split: train
+        path: qrels/train*
+      - split: dev
+        path: qrels/dev*
+      - split: test
+        path: qrels/test*
+  - config_name: answers
+    data_files:
+      - split: train
+        path: answers/train*
+      - split: dev
+        path: answers/dev*
+      - split: test
+        path: answers/test*
 ---
+
+# QASPER RAG
+
+Dataset for Retrieval-Augmented Generation (RAG) based on [QASPER](https://huggingface.co/datasets/allenai/qasper).
+
+## Structure
+
+| Subset | Splits | Description |
+|--------|--------|-------------|
+| `corpus` | train (default) | Paper chunks (abstract + full-text paragraphs) shared across all query splits |
+| `queries` | train, dev, test | Information-seeking questions over scientific papers |
+| `qrels` | train, dev, test | Relevance judgments (query ↔ paragraph chunk) |
+| `answers` | train, dev, test | Reference answers (longest valid free-form answer) |
+
+## Dataset statistics
+
+| Split | Queries | Corpus |
+|-------|--------:|-------:|
+| train | 2101 | 81550 |
+| dev   | 890 | 81550 |
+| test  | 1310 | 81550 |
+
+The corpus is shared across all splits and contains paragraph-level chunks from the abstract and full text of each paper.
+
+- **Dev split:** mapped from the original `validation` split
+- **Corpus source:** unique papers from train, validation and test splits
+- **Chunking:** one chunk for the abstract (`section_name: abstract`) and one chunk per paragraph in `full_text`
+
+## Source
+
+| Component | QASPER resource |
+|-----------|-----------------|
+| Train | `train` split from [allenai/qasper](https://huggingface.co/datasets/allenai/qasper) |
+| Dev | `validation` split |
+| Test | `test` split |
+| Corpus | `abstract` + `full_text.paragraphs` |
+| Queries | `qas.question` |
+| Qrels | `qas.answers[*].answer[*].evidence` matched to corpus chunks |
+| Answers | Longest valid answer per question (`free_form_answer`, joined `extractive_spans`, or `Yes`/`No`) |
+
+## Filtering
+
+Questions are kept only when at least one answer satisfies all of the following:
+
+- `unanswerable` is `false`
+- the answer has `free_form_answer`, non-empty `extractive_spans`, or `yes_no`
+- after removing evidence items containing `FLOAT SELECTED`, at least one answer still has evidence that matches the corpus
+
+Evidence items containing `FLOAT SELECTED` are removed individually. Questions are omitted only when no valid answer has remaining evidence.
+
+## Schema
+
+### corpus
+```json
+{"id": "...", "title": "...", "section_name": "...", "text": "..."}
+```
+
+### queries
+```json
+{"id": "...", "text": "..."}
+```
+
+### qrels
+```json
+{"query_id": "...", "corpus_id": "...", "score": 1}
+```
+
+### answers
+```json
+{"query_id": "...", "answer": "..."}
+```
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+corpus = load_dataset("DinoStackAI/qasper-rag", "corpus")["train"]
+queries = load_dataset("DinoStackAI/qasper-rag", "queries")
+qrels = load_dataset("DinoStackAI/qasper-rag", "qrels")
+answers = load_dataset("DinoStackAI/qasper-rag", "answers")
+
+train_queries = queries["train"]
+dev_qrels = qrels["dev"]
+test_answers = answers["test"]
+```
+
+## Citation
+
+QASPER is released under the [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/).
+
+```bibtex
+@inproceedings{Dasigi2021ADO,
+  title={A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers},
+  author={Pradeep Dasigi and Kyle Lo and Iz Beltagy and Arman Cohan and Noah A. Smith and Matt Gardner},
+  year={2021}
+}
+```