Download training/prepare_star_data.py from SinhalaMMLU-SharedTask/team-sinhalanuwana: direct link, hf CLI and curl.
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https://huggingface.co/SinhalaMMLU-SharedTask/team-sinhalanuwana/resolve/main/training/prepare_star_data.py
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hf download hf://SinhalaMMLU-SharedTask/team-sinhalanuwana/training/prepare_star_data.py
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curl -L -o prepare_star_data.py https://huggingface.co/SinhalaMMLU-SharedTask/team-sinhalanuwana/resolve/main/training/prepare_star_data.py
1.43 kB
| import argparse | |
| import json | |
| import random | |
| from pathlib import Path | |
| def main(): | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--questions", default="data/train/verified-mcq.jsonl") | |
| parser.add_argument("--exclude", default="data/train/star2/overlap/excluded_ids.txt", | |
| help="ids that review_overlap.py found similar to a dev or test question") | |
| parser.add_argument("--out_dir", default="data/train/star2") | |
| parser.add_argument("--shards", type=int, default=2) | |
| parser.add_argument("--seed", type=int, default=0) | |
| args = parser.parse_args() | |
| lines = Path(args.questions).read_text(encoding="utf-8").splitlines() | |
| excluded = set(Path(args.exclude).read_text(encoding="utf-8").split()) | |
| kept = [line for line in lines if json.loads(line)["id"] not in excluded] | |
| assert len(lines) - len(kept) == len(excluded), "an excluded id is not in the question file" | |
| random.Random(args.seed).shuffle(kept) | |
| out_dir = Path(args.out_dir) | |
| out_dir.mkdir(parents=True, exist_ok=True) | |
| for n in range(args.shards): | |
| shard = kept[n :: args.shards] | |
| (out_dir / f"shard-{n}.jsonl").write_text("".join(line + "\n" for line in shard), encoding="utf-8") | |
| print(f"shard-{n}.jsonl: {len(shard)} questions") | |
| print(f"Kept {len(kept)} of {len(lines)} questions; excluded {len(excluded)} listed in {args.exclude}") | |
| if __name__ == "__main__": | |
| main() | |