Download scripts/decrypt_batch.py from Halcyon-Zhang/BrowseComp-V3: direct link, hf CLI and curl.
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https://huggingface.co/datasets/Halcyon-Zhang/BrowseComp-V3/resolve/main/scripts/decrypt_batch.py
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hf download hf://datasets/Halcyon-Zhang/BrowseComp-V3/scripts/decrypt_batch.py
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curl -L -o decrypt_batch.py https://huggingface.co/datasets/Halcyon-Zhang/BrowseComp-V3/resolve/main/scripts/decrypt_batch.py
2.47 kB
| #!/usr/bin/env python3 | |
| import argparse | |
| from pathlib import Path | |
| import json | |
| from encryption_utils import derive_key, decrypt_text | |
| def main(): | |
| parser = argparse.ArgumentParser(description="Batch decrypt BCV3 JSONL") | |
| parser.add_argument("--input", required=True, help="Path to train.jsonl (or archived bcv3_encrypted.jsonl)") | |
| parser.add_argument("--key-file", required=True, help="Path to a text file containing passphrase") | |
| parser.add_argument("--output-dir", required=True, help="Directory to write per-sample JSON") | |
| parser.add_argument("--keep-encrypted", action="store_true", help="Keep encrypted fields in output") | |
| args = parser.parse_args() | |
| key_str = Path(args.key_file).read_text(encoding="utf-8").strip() | |
| key = derive_key(key_str) | |
| out_dir = Path(args.output_dir) | |
| out_dir.mkdir(parents=True, exist_ok=True) | |
| count = 0 | |
| total = 0 | |
| with Path(args.input).open("r", encoding="utf-8") as f: | |
| for line in f: | |
| if not line.strip(): | |
| continue | |
| total += 1 | |
| obj = json.loads(line) | |
| # Detect format: archived bcv3_encrypted.jsonl vs current train.jsonl | |
| if "encrypted_data" in obj: | |
| enc = obj.get("encrypted_data", {}) | |
| question = decrypt_text(enc.get("question", {}), key) | |
| answer = decrypt_text(enc.get("answer", {}), key) | |
| elif "encrypted_question" in obj: | |
| enc_q = json.loads(obj.get("encrypted_question", "{}")) | |
| enc_a = json.loads(obj.get("encrypted_answer", "{}")) | |
| question = decrypt_text(enc_q, key) | |
| answer = decrypt_text(enc_a, key) | |
| else: | |
| print(f"Warning: Unrecognized format in record {total}, skipping...") | |
| continue | |
| out_obj = obj.copy() | |
| out_obj["question"] = question | |
| out_obj["answer"] = answer | |
| if not args.keep_encrypted: | |
| out_obj.pop("encrypted_data", None) | |
| out_obj.pop("encrypted_question", None) | |
| out_obj.pop("encrypted_answer", None) | |
| out_obj.pop("trajectory", None) | |
| out_path = out_dir / f"{obj.get('id')}.json" | |
| out_path.write_text(json.dumps(out_obj, ensure_ascii=False, indent=2), encoding="utf-8") | |
| count += 1 | |
| print(f"Decrypted {count}/{total} samples and wrote to {out_dir}") | |
| if __name__ == "__main__": | |
| main() | |