Datasets:
ArXiv:
License:
| license: other | |
| license_name: rap-benchmark-composite-license | |
| license_link: LICENSE | |
| pretty_name: RAP Benchmark Dataset | |
| # RAP Benchmark Dataset | |
| This is the companion data release for **Research Attention Prediction (RAP)**. | |
| RAP evaluates whether an agent can estimate the distribution of newly posted | |
| papers across eight fixed research directions, then forecast the distribution | |
| in the following six months. | |
| The package contains the frozen benchmark interface and the metadata-only | |
| Search snapshot. | |
| ## Snapshot | |
| | Item | Count | | |
| | --- | ---: | | |
| | Fields | 278 | | |
| | Dev episodes | 335 | | |
| | Test episodes | 1,055 | | |
| | Fixed Search shards | 1,390 | | |
| | Expanding Search shards | 1,390 | | |
| | Directions per field | 8 | | |
| ## Layout | |
| | Path | Use | | |
| | --- | --- | | |
| | `inputs/` | Safe model-facing Dev/Test episode inputs | | |
| | `targets/` | Evaluator-only recent/future counts, shares, and diagnostics | | |
| | `evaluator/` | Combined episodes for scoring and no-API baselines; do not send to agents | | |
| | `data/` | Public runner scope and Search-manifest indexes | | |
| | `search_shards/` | Fixed and Expanding metadata-only Search corpora | | |
| | `DATA_CARD.md` | Task semantics, leakage boundary, and aggregation rules | | |
| | `ARXIV_METADATA_NOTICE.md` | Provenance and redistribution boundary for arXiv metadata | | |
| Each row in `inputs/` contains the field, cutoff date, history-window metadata, | |
| future-window metadata, and the eight direction definitions. It intentionally | |
| does not contain history counts, recent shares, future counts, or future shares. | |
| Those evaluator-only values live in `targets/` and `evaluator/`. | |
| ## Search snapshot | |
| - `search_shards/fixed/` enforces `[T-6m, T)`. | |
| - `search_shards/expanding/` enforces `<T`. | |
| - Each shard contains exactly `id`, `date`, `title`, `abstract`, and | |
| `categories`. | |
| - Each manifest records the shard SHA-256, row count, and date-bound checks. | |
| The shards contain descriptive arXiv metadata. See `ARXIV_METADATA_NOTICE.md` | |
| for provenance and source terms. | |
| ## Integrity | |
| Verify the complete snapshot from its root: | |
| ```bash | |
| sha256sum -c SHA256SUMS | |
| ``` | |
| The evaluator contract and scoring commands are documented in the companion | |
| [RAP evaluation-code repository](https://github.com/Win7win/rap-benchmark). | |
| ## License | |
| This dataset repository is marked `other` because it combines two provenance | |
| classes. Original RAP-derived artifacts are released under CC BY 4.0. The | |
| metadata-only Search shards retain their arXiv provenance and source terms. | |
| Read `LICENSE` and `ARXIV_METADATA_NOTICE.md` before redistributing or adapting | |
| the snapshot. | |
| ## Citation | |
| Please cite the RAP paper: | |
| ```bibtex | |
| @misc{wu2026rap, | |
| title = {RAP: Research Attention Prediction Reveals Target-Conditioned Evidence Acquisition Biases}, | |
| author = {Wu, Yingqian and Liang, Jingcong and Wang, Siyuan and Yin, Zhenfei | |
| and Torr, Philip and Yu, Junchi and Wei, Zhongyu}, | |
| year = {2026}, | |
| url = {https://arxiv.org/abs/2609.10092} | |
| } | |
| ``` | |