| |
| """Restore LlamaFactory JSONL files from this downloaded dataset repository.""" |
| import argparse |
| import hashlib |
| import json |
| import shutil |
| from pathlib import Path |
|
|
| import pyarrow.parquet as pq |
|
|
|
|
| def main(): |
| parser = argparse.ArgumentParser(description=__doc__) |
| parser.add_argument('--output-dir', type=Path, required=True) |
| args = parser.parse_args() |
| root = Path(__file__).resolve().parent |
| provenance = json.loads((root / 'provenance.json').read_text()) |
| args.output_dir.mkdir(parents=True, exist_ok=True) |
| for split, filename in [('train', 'train.jsonl'), ('validation', 'holdout.sharegpt.jsonl')]: |
| info = provenance['splits'][split] |
| destination = args.output_dir / filename |
| if destination.exists(): |
| raise FileExistsError(destination) |
| digest, count = hashlib.sha256(), 0 |
| with destination.open('x', encoding='utf-8') as stream: |
| for shard in info['shards']: |
| for batch in pq.ParquetFile(root / shard['path']).iter_batches(batch_size=1000): |
| for row in batch.to_pylist(): |
| line = json.dumps(row, ensure_ascii=False, sort_keys=True, separators=(',', ':')) + '\n' |
| stream.write(line) |
| digest.update(line.encode()) |
| count += 1 |
| assert count == info['rows'] |
| assert digest.hexdigest() == info['canonical_rows_sha256'] |
| print(f'{filename}: {count} verified rows') |
| shutil.copy2(root / 'llamafactory/dataset_info.json', args.output_dir / 'dataset_info.json') |
| for name in ('exception_tokens.json', 'exception_tokens.yaml'): |
| shutil.copy2(root / name, args.output_dir / name) |
|
|
|
|
| if __name__ == '__main__': |
| main() |
|
|
