| --- |
| license: other |
| task_categories: |
| - question-answering |
| language: |
| - en |
| tags: |
| - data-science-agents |
| - benchmark |
| - agent-evaluation |
| size_categories: |
| - 100<n<1K |
| configs: |
| - config_name: krama_full |
| data_dir: . |
| --- |
| |
| # KramaBench (evo-eval `krama_full`) |
| |
| End-to-end data-science agent benchmark, packaged for the [evo-eval](https://gitcode.com/datagallery/evo-eval) evaluation framework (`evo_eval.dataset.v1` generic dataset schema). |
|
|
| Source: KramaBench (Lai et al., 2025), https://github.com/mitdbg/kramabench. If you use this data, please cite the upstream preprint: |
|
|
| ```bibtex |
| @misc{lai2025KramaBench, |
| title = {KramaBench: Evaluating End-to-End Data-Science Agents}, |
| author = {Eugenie Lai and Gerardo Vitagliano and Ziyu Zhang and *et al.*}, |
| year = {2025}, |
| } |
| ``` |
|
|
| ## Layout (repo root = evo-eval `DATA_ROOT`) |
| |
| - `krama_full/tasks.jsonl` — 104 top-level tasks, integer ids `1..104` (one per line: `task_id`, `query.text`, `assets_dir`, `meta`) |
| - `krama_full/references/{task_id}.json` — golden answers with `answer_type` (`numeric_exact` / `string_exact` / `list_exact` / `numeric_approximate` / `list_approximate` / `string_approximate`) |
| - `krama_full/assets/{domain}/` — per-domain input data (copied from upstream `data/{domain}/input`) |
| - `krama_full/subtasks/` — 631 per-step subtasks (`N-K` ids derived from parent task `N`), for intermediate-step diagnostics; not part of the official top-level metric |
|
|
| ## Notes |
|
|
| - Original KramaBench task ids (e.g. `legal-hard-1`) are preserved in `meta.source_task_id` (tasks) and `meta.source_subtask_id` (subtasks). |
| - Deterministic mapping: top-level tasks sorted by `(domain, source_task_id)`, then numbered `1..104`; subtask `K` of task `N` gets id `N-K`. |
| - Scoring (official metric dispatch by `answer_type` → success / f1 / f1_approximate / rae_score / llm_paraphrase) ships with the evo-eval dataset template `configs/datasets/krama_full/`, not with this data repo. |
|
|
