| --- |
| 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/* |
| - 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: retrieved_docs |
| data_files: |
| - split: train |
| path: retrieved_docs/train-* |
| - split: dev |
| path: retrieved_docs/dev-* |
| - split: test |
| path: retrieved_docs/test-* |
| - config_name: top_ranked |
| data_files: |
| - split: train |
| path: top_ranked/train* |
| - split: dev |
| path: top_ranked/dev* |
| - split: test |
| path: top_ranked/test* |
| dataset_info: |
| config_name: retrieved_docs |
| features: |
| - name: query_id |
| dtype: string |
| - name: corpus_id |
| dtype: string |
| - name: rank |
| dtype: int64 |
| - name: retrieval_score |
| dtype: float64 |
| - name: is_relevant |
| dtype: bool |
| splits: |
| - name: train |
| num_bytes: 1681424 |
| num_examples: 20985 |
| - name: dev |
| num_bytes: 712632 |
| num_examples: 8894 |
| - name: test |
| num_bytes: 1048757 |
| num_examples: 13089 |
| download_size: 758823 |
| dataset_size: 3442813 |
| --- |
| |
| # 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) | |
| | `top_ranked` | train, dev, test | Paper-scoped candidate pool (all chunks of the query paper) | |
| | `retrieved_docs` | train, dev, test | Top-k retrieval results with relevance labels | |
|
|
| ## 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 | |
| | Top ranked | All paragraph chunks from the query paper (paper-scoped retrieval pool) | |
| | 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": "..."} |
| ``` |
|
|
| ### top_ranked |
| ```json |
| {"query-id": "...", "corpus-ids": ["paper_00000", "paper_00001"]} |
| ``` |
| |
| ### retrieved_docs |
| ```json |
| {"query_id": "...", "corpus_id": "...", "rank": 1, "retrieval_score": 0.92, "is_relevant": true} |
| ``` |
|
|
| Top-k documents retrieved from the indexed corpus (`is_relevant` is derived from `qrels`). |
|
|
| ## 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} |
| } |
| ``` |
|
|
