| """Recast Praveenrajus/jev-bench into one flat dataset: N rows per data config (model-prediction dumps excluded), |
| merged, the config as a `task` column, every field a string (soft_label "" when absent). The per-config files |
| disagree on soft_label's type, so the raw configs cannot be loaded as one dataset. |
| |
| python build_jevbench.py --out DIR [--push tasksource/jevbench] (or python -m task_diagnostics.build_jevbench) |
| """ |
| import argparse, json, random |
| from pathlib import Path |
|
|
| SRC, REV = "Praveenrajus/jev-bench", "c37b0f6ab1687376ec9ae8dbd9f343163a68252b" |
| CONFIGS = ("arc_challenge banking77 boolq chaosnli civil_comments clinc150 fever_evidence go_emotions " |
| "helpsteer2_helpfulness helpsteer2_verbosity ledgar massive measuring_hate_speech mmlu mnli paws " |
| "sms_spam sst5 strategyqa_closed strategyqa_grounded stsb yelp5").split() |
|
|
|
|
| def build(n, seed, splits): |
| from huggingface_hub import hf_hub_download |
| out = {} |
| for split in splits: |
| rows = [] |
| for c in CONFIGS: |
| try: |
| p = hf_hub_download(SRC, f"data/{c}/{split}.jsonl", repo_type="dataset", revision=REV) |
| except Exception: |
| continue |
| src = sorted((json.loads(l) for l in open(p)), key=lambda r: r["id"]) |
| random.Random(f"{seed}/{c}/{split}").shuffle(src) |
| rows += [{"task": c, **{k: "" if r.get(k) is None else str(r[k]) for k in |
| ("id", "primitive", "state", "question", "label", "soft_label", "meta")}} for r in src[:n]] |
| out[split] = rows |
| print(f"[jevbench] {split}: {len(rows)} rows over {len({r['task'] for r in rows})} tasks", flush=True) |
| return out |
|
|
|
|
| def main(): |
| ap = argparse.ArgumentParser(description=__doc__.splitlines()[0]) |
| ap.add_argument("--out", required=True) |
| ap.add_argument("--n", type=int, default=200, help="rows per config and split") |
| ap.add_argument("--splits", default="test,validation") |
| ap.add_argument("--seed", type=int, default=0) |
| ap.add_argument("--push", help="hub repo id to push to") |
| a = ap.parse_args() |
| data = build(a.n, a.seed, a.splits.split(",")) |
| Path(a.out).mkdir(parents=True, exist_ok=True) |
| for split, rows in data.items(): |
| (Path(a.out) / f"{split}.jsonl").write_text("".join(json.dumps(r) + "\n" for r in rows)) |
| if a.push: |
| import datasets |
| dd = datasets.DatasetDict({s: datasets.Dataset.from_list(r) for s, r in data.items()}) |
| dd.push_to_hub(a.push, commit_message=f"{a.n}/config sample of {SRC}@{REV[:7]}, seed {a.seed}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
