| """ | |
| Sample some conversations from a file. | |
| Usage: python3 -m fastchat.data.sample --in sharegpt.json --out sampled.json | |
| """ | |
| import argparse | |
| import json | |
| import numpy as np | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--in-file", type=str, required=True) | |
| parser.add_argument("--out-file", type=str, default="sampled.json") | |
| parser.add_argument("--begin", type=int, default=0) | |
| parser.add_argument("--end", type=int, default=100) | |
| parser.add_argument("--max-length", type=int, default=1024) | |
| parser.add_argument("--keep-order", action="store_true") | |
| args = parser.parse_args() | |
| content = json.load(open(args.in_file, "r")) | |
| if not args.keep_order: | |
| np.random.seed(42) | |
| np.random.shuffle(content) | |
| new_content = [] | |
| for i in range(args.begin, min(args.end, len(content))): | |
| sample = content[i] | |
| concat = "" | |
| for s in sample["conversations"]: | |
| concat += s["value"] | |
| if len(concat) > args.max_length: | |
| continue | |
| new_content.append(sample) | |
| print(f"#in: {len(content)}, #out: {len(new_content)}") | |
| json.dump(new_content, open(args.out_file, "w"), indent=2, ensure_ascii=False) | |