Datasets:
ArXiv:
License:
| # RAP Benchmark Dataset Card | |
| ## Task | |
| RAP evaluates whether an agent can estimate the distribution of newly posted | |
| papers across eight operational research directions and forecast the | |
| distribution in the following six months. Each episode uses `forecast_date=T` | |
| as its boundary. The history windows describe the available past periods and | |
| the future window is `[T, T+6 months)`. | |
| The State task estimates the distribution observed in the most recent | |
| six-month window. The Forecast task predicts the distribution in the next | |
| six-month window. | |
| ## Package contents | |
| - `inputs/` contains the model-facing Dev/Test episode inputs. | |
| - `targets/` contains evaluator-only recent and future counts, shares, and | |
| diagnostics. | |
| - `evaluator/` contains combined episode records for scoring and offline | |
| baselines. | |
| - `data/` contains the frozen evaluation scope and Search-manifest indexes. | |
| - `search_shards/` contains the metadata-only Search snapshot. | |
| Each row in `inputs/` contains the field, cutoff date, time-window metadata, | |
| and eight direction definitions. It does not contain history counts, recent | |
| shares, future counts, or future shares. Those evaluator-only values are stored | |
| in `targets/` and `evaluator/`. | |
| ## Splits and evaluation | |
| Dev and Test are frozen field-level splits rather than random episode-level | |
| splits. Dev contains 335 episodes from 67 fields; Test contains 1,055 episodes | |
| from 211 fields. The evaluation-code repository provides the prompt protocol, | |
| scorer, contract checks, and offline statistical baselines. | |
| Target shares are normalized across the eight directions, using primary-direction | |
| counts. Direction definitions and episode boundaries are provided in each input | |
| record. Use `inputs/` for agent runs and `targets/` or `evaluator/` for scoring. | |
| ## Search snapshot | |
| `search_shards/fixed/` enforces the window `[T-6m, T)`, while | |
| `search_shards/expanding/` enforces `<T`. Each shard contains exactly | |
| `id`, `date`, `title`, `abstract`, and `categories`. The shard manifests record | |
| SHA-256 digests, row counts, and date-bound checks. | |
| The Search snapshot contains descriptive arXiv metadata only. See | |
| `ARXIV_METADATA_NOTICE.md` for provenance and source terms. | |
| ## Integrity | |
| From the dataset root, run: | |
| ```bash | |
| sha256sum -c SHA256SUMS | |
| ``` | |
| ## License | |
| This repository is marked `other` because it combines original RAP-derived | |
| artifacts with arXiv descriptive metadata. Read `LICENSE` and | |
| `ARXIV_METADATA_NOTICE.md` before redistribution or adaptation. | |
| ## Citation | |
| ```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} | |
| } | |
| ``` | |