| --- |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train.jsonl |
| - split: validation |
| path: data/validation.jsonl |
| - split: test |
| path: data/test.jsonl |
| task_categories: |
| - text-generation |
| language: |
| - en |
| license: cc-by-4.0 |
| pretty_name: HypoDiverse |
| --- |
| |
| # HypoDiverse |
|
|
| This release contains the exact JSONL rows used to train and evaluate the |
| HypoDiverse models. HypoDiverse is an enumerable synthetic benchmark for |
| measuring the validity, uniqueness, repetition, and predictive diversity of |
| sets of scientific hypotheses. The release tool copies the frozen files and |
| never regenerates examples during publishing. |
|
|
| ## Splits |
|
|
| | Split | Rows | Provenance | |
| |---|---:|---| |
| | train | 6144 | Exact `verl_train.jsonl` used by GRPO and LIFPO | |
| | validation | 128 | Exact `verl_val.jsonl` used during training | |
| | test | 192 | Frozen `final_v3/verl_test.jsonl` evaluation set | |
|
|
| The files under `data/` can be loaded with `datasets.load_dataset("json", |
| data_files=...)`. Each row retains the veRL-compatible prompt, environment |
| state, and verifier metadata required by the original training or evaluation |
| pipeline. Source tables, state files, and manifests are preserved under |
| `source/` when they exist. Exact run and evaluation configurations are under |
| `provenance/configs/`. |
|
|
| `release_manifest.json` records row counts, SHA256 hashes, source paths, Git |
| provenance, and state-ID/prompt overlap checks. The manifest intentionally does |
| not hash itself; every other packaged file is hashed there. |
|
|