"""Merge phase 2 datasets generated separately (different seeds) into one. Uses LeRobot's aggregate_datasets, then joins the per-episode notes (phase2_episodes.jsonl, renumbered in merged order) and the generation summaries. Run: .venv/bin/python sim/merge_datasets.py data/so101_chess_sim_all data/so101_chess_sim data/so101_chess_sim_b """ from __future__ import annotations import argparse import json from pathlib import Path def main(): from lerobot.datasets.aggregate import aggregate_datasets from lerobot.datasets.lerobot_dataset import LeRobotDataset ap = argparse.ArgumentParser(description=__doc__) ap.add_argument("out") ap.add_argument("parts", nargs="+") args = ap.parse_args() parts = [Path(p) for p in args.parts] out = Path(args.out) aggregate_datasets(repo_ids=[f"local/part{i}" for i in range(len(parts))], aggr_repo_id="local/so101_chess_sim", roots=parts, aggr_root=out) offset, lines, summaries = 0, [], [] for p in parts: recs = [json.loads(line) for line in (p / "phase2_episodes.jsonl").read_text().splitlines()] for r in recs: r["part"] = p.name r["episode_index"] = offset + r["episode_index"] lines.append(json.dumps(r)) offset += len(recs) summaries.append(json.loads((p / "phase2_summary.json").read_text())) (out / "phase2_episodes.jsonl").write_text("\n".join(lines) + "\n") total = dict(episodes=sum(s["episodes"] for s in summaries), attempts=sum(s["attempts"] for s in summaries), minutes=round(sum(s["minutes"] for s in summaries), 1), parts=[p.name for p in parts], config=summaries[-1].get("config")) total["success_rate"] = round(total["episodes"] / total["attempts"], 4) (out / "phase2_summary.json").write_text(json.dumps(total, indent=2)) ds = LeRobotDataset("local/so101_chess_sim", root=out) print(f"{out}: {ds.num_episodes} episodes, {ds.num_frames} frames; notes {len(lines)}") if __name__ == "__main__": main()