| --- |
| language: |
| - en |
| license: other |
| license_name: github-terms-of-service |
| task_categories: |
| - question-answering |
| - information-retrieval |
| tags: |
| - rag |
| - github-issues |
| - cross-issue-reasoning |
| - silver-labels |
| pretty_name: MetaRAG Cross-Issue OSSQA |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: default |
| default: true |
| data_files: |
| - split: dev |
| path: data/default/dev.jsonl |
| - split: test |
| path: data/default/test.jsonl |
| - config_name: queries |
| data_files: |
| - split: dev |
| path: data/queries/dev.jsonl |
| - split: test |
| path: data/queries/test.jsonl |
| - config_name: corpus |
| data_files: |
| - split: corpus |
| path: data/corpus/corpus.jsonl |
| --- |
| |
| # MetaRAG Cross-Issue OSSQA |
|
|
| Dataset page: <https://huggingface.co/datasets/MapleBi/MetaRAG_Cross-Issue_OSSQA> |
|
|
| MetaRAG Cross-Issue OSSQA is an English open-source software issue question-answering and retrieval benchmark. Each example asks a question grounded in one GitHub issue and requires evidence from a related issue. The data contains explicit cross-issue references and a three-document silver evidence path. |
|
|
| ## Dataset configurations |
|
|
| | Configuration | Splits | Rows | Purpose | |
| | --- | --- | ---: | --- | |
| | `default` | `dev`, `test` | 100 / 400 | Complete evaluation records, including embedded issue fragments and silver labels. | |
| | `queries` | `dev`, `test` | 100 / 400 | Retrieval and QA queries with answer and evidence-path supervision. | |
| | `corpus` | `corpus` | 9,536 | Deduplicated issue-description and issue-comment fragments for retrieval. This is a knowledge corpus, not a training split. | |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| evaluation = load_dataset("MapleBi/MetaRAG_Cross-Issue_OSSQA") |
| queries = load_dataset("MapleBi/MetaRAG_Cross-Issue_OSSQA", "queries") |
| corpus = load_dataset("MapleBi/MetaRAG_Cross-Issue_OSSQA", "corpus", split="corpus") |
| ``` |
|
|
| ## Main fields |
|
|
| `default` includes the query, its known context, answer, source and target issue metadata, `silver_evidence_path`, quality signals, and the ordered `fragments` supporting each example. `queries` is the compact query-level representation. `corpus` contains one searchable fragment per `document_id`, plus issue, repository, author, timestamp, and cross-issue-link metadata. |
|
|
| The fields `answer_document_id` and `silver_evidence_path` refer to `corpus.document_id`. `known_context_document_ids` identifies documents supplied as query context; these are excluded from the gold evidence path. `split` is repository-disjoint between `dev` and `test`. |
|
|
| ## Data creation |
|
|
| The dataset was constructed from public GitHub event data via OpenDigger / GH Archive, from 2022-01-01 through 2025-12-31. It contains 500 qualified cross-issue samples from 468 repositories. The sampling procedure requires an explicit cross-issue reference, a path spanning at least two distinct issues, English-language filtering, deterministic diversity sampling, and repository-disjoint development/test partitions. |
|
|
| See `dataset_statistics.json` for the complete sampling settings, quality distribution, year distribution, and leakage audit result. |
|
|
| ## Labels and limitations |
|
|
| `reference_answer` and `silver_evidence_path` are heuristic silver annotations. They should not be treated as human-validated gold labels without additional review. Source text may contain stale links, personal identifiers visible in public GitHub content, inaccurate technical claims, or other artifacts of public issue discussions. |
|
|
| The data is intended for research and evaluation. Users are responsible for ensuring their use complies with the applicable [GitHub Terms of Service](https://docs.github.com/en/site-policy/github-terms/github-terms-of-service), the source platforms' policies, and their own privacy, legal, and ethical requirements. |
|
|
| ## Provenance |
|
|
| - OpenDigger: <https://github.com/X-lab2017/open-digger> |
| - GH Archive: <https://www.gharchive.org/> |
|
|
| ## Repository integrity |
|
|
| `MANIFEST.sha256` contains SHA-256 checksums for every data file and `dataset_statistics.json` in this package. To regenerate the package from the accompanying source files, remove this output directory and run `python3 prepare_hf_dataset.py`. |
|
|
