--- 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 `