s_v5_hard_200k_within20step

Hard Sokoban move-only dataset generated with the novastar111/s_v5_move_only_remap_prev record layout.

Contents

• Train: 200000 records in trajectories/sokoban_hard/train/*.jsonl.gz
• Test: 200 records in trajectories/sokoban_hard/test/*.jsonl.gz
• Environment: sokoban/hard
• Environment kwargs: {"action_mode": "move_only", "max_steps": 40}
• Accepted trajectory length: len(history) <= 20
• Rollout limit used by the environment: max_steps = 40
• Action schema: sokoban_move_only_v2
• Image policy: every history step has image_prev == image

Hash Checks

The dataset includes:

• metadata/test_init_state_hashes.json
• metadata/train_init_state_hashes.json
• metadata/train_vs_test_hash_report.json
• metadata/train_within_split_hash_report.json
• metadata/test_within_split_hash_report.json

Example usage:

import json
from pathlib import Path

root = Path("/path/to/dataset")
train_hashes = set(json.loads((root / "metadata/train_init_state_hashes.json").read_text())["sokoban_hard"])
test_hashes = set(json.loads((root / "metadata/test_init_state_hashes.json").read_text())["sokoban_hard"])

assert len(train_hashes) == 200000
assert len(test_hashes) == 200
assert train_hashes.isdisjoint(test_hashes)

Validate record-level invariants:

import json
from pathlib import Path

for path in (Path("/path/to/dataset") / "trajectories/sokoban_hard/train").glob("batch_*.jsonl"):
    for line in path.open():
        row = json.loads(line)
        assert len(row["history"]) <= 20
        assert row["action_schema_version"] == "sokoban_move_only_v2"
        for step in row["history"]:
            assert step["image_prev"] == step["image"]
            assert step["action_raw"].startswith("('move', ") or step["action_raw"] == "('stop', 'stop')"