Files
lerobot/scripts/ci/extract_task_descriptions.py
T
Pepijn e67ceb213d feat(robotwin): eval 5 diverse tasks per CI run with NL descriptions
Widen the smoke eval from a single task (beat_block_hammer) to five:
click_bell, handover_block, open_laptop, stack_blocks_two on top of the
original. Each gets its own rollout video in videos/<task>_0/ so the
dashboard can surface visually distinct behaviours.

extract_task_descriptions.py now has a RoboTwin branch that reads
`description/task_instruction/<task>.json` (already shipped in the clone
at /opt/robotwin) and pulls the `full_description` field. CI cds into
the clone before invoking the script so the relative path resolves.

parse_eval_metrics.py is invoked with the same 5-task list so the
metrics.json embeds one entry per task.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-14 21:03:15 +02:00

110 lines
4.2 KiB
Python

#!/usr/bin/env python3
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Extract natural-language task descriptions for a benchmark suite.
Runs inside the benchmark Docker container (where the env library is installed)
immediately after lerobot-eval, writing a JSON file that parse_eval_metrics.py
picks up and embeds in metrics.json.
Output format: {"<suite>_<task_idx>": "<nl instruction>", ...}
Usage:
python scripts/ci/extract_task_descriptions.py \\
--env libero --task libero_spatial \\
--output /tmp/eval-artifacts/task_descriptions.json
"""
from __future__ import annotations
import argparse
import json
import sys
from pathlib import Path
def _libero_descriptions(task_suite: str) -> dict[str, str]:
from libero.libero import benchmark # type: ignore[import-untyped]
suite_dict = benchmark.get_benchmark_dict()
if task_suite not in suite_dict:
print(
f"[extract_task_descriptions] Unknown LIBERO suite '{task_suite}'. "
f"Available: {list(suite_dict.keys())}",
file=sys.stderr,
)
return {}
suite = suite_dict[task_suite]()
return {f"{task_suite}_{i}": suite.get_task(i).language for i in range(suite.n_tasks)}
def _metaworld_descriptions(task_name: str) -> dict[str, str]:
# MetaWorld tasks don't expose a separate NL description attribute;
# use a cleaned version of the task name as the description.
label = task_name.removeprefix("metaworld-").replace("-", " ").strip()
return {f"{task_name}_0": label}
def _robotwin_descriptions(task_names: str) -> dict[str, str]:
"""Return descriptions for each requested RoboTwin task. Reads
`description/task_instruction/<task>.json` from the RoboTwin clone
(cwd is /opt/robotwin in CI). Falls back to the task name if missing."""
out: dict[str, str] = {}
root = Path("description/task_instruction")
for name in (t.strip() for t in task_names.split(",") if t.strip()):
desc_file = root / f"{name}.json"
desc = name.replace("_", " ")
if desc_file.is_file():
data = json.loads(desc_file.read_text())
full = data.get("full_description") or desc
# Strip the schema placeholders ({A}, {a}) — keep the sentence readable.
desc = full.replace("<", "").replace(">", "")
out[f"{name}_0"] = desc
return out
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--env", required=True, help="Environment family (libero, metaworld, ...)")
parser.add_argument("--task", required=True, help="Task/suite name (e.g. libero_spatial)")
parser.add_argument("--output", required=True, help="Path to write task_descriptions.json")
args = parser.parse_args()
descriptions: dict[str, str] = {}
try:
if args.env == "libero":
descriptions = _libero_descriptions(args.task)
elif args.env == "metaworld":
descriptions = _metaworld_descriptions(args.task)
elif args.env == "robotwin":
descriptions = _robotwin_descriptions(args.task)
else:
print(
f"[extract_task_descriptions] No description extractor for env '{args.env}'.",
file=sys.stderr,
)
except Exception as exc:
print(f"[extract_task_descriptions] Warning: {exc}", file=sys.stderr)
out_path = Path(args.output)
out_path.parent.mkdir(parents=True, exist_ok=True)
out_path.write_text(json.dumps(descriptions, indent=2))
print(f"[extract_task_descriptions] {len(descriptions)} descriptions → {out_path}")
return 0
if __name__ == "__main__":
sys.exit(main())