| """ |
| Dump all contents of a rollout pkl file. |
| |
| Usage: |
| python scripts/dump_rollout.py --path results/eval_multi/.../val_rollouts_*.pkl |
| python scripts/dump_rollout.py --path ... --idx 3 # single episode |
| python scripts/dump_rollout.py --path ... --min_turns 2 # only multi-turn episodes |
| """ |
|
|
| import argparse |
| import pickle |
| import sys |
|
|
| def main(): |
| parser = argparse.ArgumentParser() |
| parser.add_argument("--path", required=True) |
| parser.add_argument("--idx", type=int, default=None, help="Show a specific episode") |
| parser.add_argument("--min_turns", type=int, default=1, help="Only show episodes with >= this many turns") |
| args = parser.parse_args() |
|
|
| with open(args.path, "rb") as f: |
| data = pickle.load(f) |
|
|
| nb = data.non_tensor_batch |
| messages_list = nb["messages_list"] |
| turn_counts = nb["turn_counts"] |
|
|
| print(f"Total episodes: {len(messages_list)}") |
| print(f"Turn counts: {list(turn_counts)}") |
| print() |
|
|
| indices = [args.idx] if args.idx is not None else range(len(messages_list)) |
|
|
| for i in indices: |
| n_turns = turn_counts[i] |
| if n_turns < args.min_turns: |
| continue |
|
|
| msgs = messages_list[i] |
| print(f"{'='*60}") |
| print(f"Episode {i} turns={n_turns} messages={len(msgs)}") |
| print(f"{'='*60}") |
| for msg in msgs: |
| print(f"\n[{msg['role'].upper()}]") |
| print(msg["content"]) |
|
|
| if __name__ == "__main__": |
| main() |
|
|