Download reference/scripts/data_collection/task_prompts.py from Travor278/ReflexBench-Task-Examples: direct link, hf CLI and curl.
- Browser
- Download file 4.69 kB
-
https://huggingface.co/datasets/Travor278/ReflexBench-Task-Examples/resolve/main/reference/scripts/data_collection/task_prompts.py
- Command line
-
hf download hf://datasets/Travor278/ReflexBench-Task-Examples/reference/scripts/data_collection/task_prompts.py
-
curl -L -o task_prompts.py https://huggingface.co/datasets/Travor278/ReflexBench-Task-Examples/resolve/main/reference/scripts/data_collection/task_prompts.py
4.69 kB
| # Copyright (c) 2022-2025, The Isaac Lab Project Developers. | |
| # All rights reserved. | |
| # SPDX-License-Identifier: BSD-3-Clause | |
| """Per-task language prompts for VLA data collection / LeRobot conversion. | |
| Keyed by the task slug produced by :func:`_task_slug` in both | |
| ``collect_vla_data.py`` and ``convert_to_lerobot.py``. Accessed via | |
| :func:`resolve_prompt_from_task`, which normalizes any Gym id (e.g. | |
| ``ConveyorBeltPickAndPlace-Franka-DataCollection-v0``) into the same slug. | |
| Keep the wording short, action-driven, and English-only; VLA tokenizers | |
| handle these best. If a slug is missing, we fall back to | |
| ``LEGACY_DEFAULT_PROMPT`` so both scripts degrade gracefully. | |
| """ | |
| from __future__ import annotations | |
| # Legacy default used as both the argparse default in collect_vla_data.py | |
| # and the sentinel for "user did not customize the prompt" when deciding | |
| # whether to auto-fill from the task lookup. | |
| LEGACY_DEFAULT_PROMPT: str = "manipulate the object" | |
| # | |
| # Keys match the slug produced by ``_task_slug`` in ``collect_vla_data.py`` | |
| # and ``convert_to_lerobot.py`` (suffixes + robot tokens stripped, then joined | |
| # by underscore). We also register the "spelled-out" variant (e.g. | |
| # ``conveyor_belt_pick_and_place``) as a synonym for humans who call the resolver | |
| # directly with task profile names. | |
| _CONVEYOR_BELT_PICK_AND_PLACE = ( | |
| "pick up the cube from the moving conveyor and place it into the bin" | |
| ) | |
| _WHACK_A_MOLE = "hit the mole that pops up on the board with the closed gripper" | |
| _BALL_CATCHING = ( | |
| "hold the container with the gripper and catch the thrown ball in the container" | |
| ) | |
| _ROLLING_BALL_INTERCEPTION = "catch the ball rolling down the ramp with the container" | |
| _ROTATING_PEG_INSERTION = "insert the peg into the hole on the rotating disc" | |
| _BALL_THROWING = "throw the ball into the bin" | |
| TASK_PROMPTS: dict[str, str] = { | |
| # slug as produced by `_task_slug(gym_id)`: | |
| "conveyorbeltpickandplace": _CONVEYOR_BELT_PICK_AND_PLACE, | |
| "whackamole": _WHACK_A_MOLE, | |
| "ballcatching": _BALL_CATCHING, | |
| "rollingballinterception": _ROLLING_BALL_INTERCEPTION, | |
| "rotatingpeginsertion": _ROTATING_PEG_INSERTION, | |
| "ballthrowing": _BALL_THROWING, | |
| # human-readable profile names (also accepted): | |
| "conveyor_belt_pick_and_place": _CONVEYOR_BELT_PICK_AND_PLACE, | |
| "whack_a_mole": _WHACK_A_MOLE, | |
| "ball_catching": _BALL_CATCHING, | |
| "rolling_ball_interception": _ROLLING_BALL_INTERCEPTION, | |
| "rotating_peg_insertion": _ROTATING_PEG_INSERTION, | |
| "ball_throwing": _BALL_THROWING, | |
| } | |
| def _slugify(task_name: str) -> str: | |
| """Normalize a task/gym id into a lookup slug. | |
| Mirrors ``_task_slug`` in ``collect_vla_data.py`` / ``convert_to_lerobot.py``: | |
| strips known suffixes and robot tokens, then joins with underscores. | |
| Also accepts already-slugified inputs like ``conveyor_belt_pick_and_place``. | |
| """ | |
| if not task_name: | |
| return "" | |
| normalized = task_name.lower().strip() | |
| # Already a slug (no dashes) -> just return as-is (after normalizing underscores). | |
| if "-" not in normalized and "_" in normalized: | |
| return normalized | |
| for suffix in ("-datacollection-v0", "-play-v0", "-ik-abs-v0", "-ik-rel-v0", "-v0"): | |
| if normalized.endswith(suffix): | |
| normalized = normalized[: -len(suffix)] | |
| break | |
| tokens = [ | |
| token for token in normalized.split("-") | |
| if token and token not in {"franka", "panda", "ur5", "ur10", "xarm", "kinova"} | |
| ] | |
| if not tokens: | |
| return normalized.replace("-", "_") | |
| return "_".join(tokens) | |
| def resolve_prompt_from_task( | |
| task_name: str | None, | |
| default: str = LEGACY_DEFAULT_PROMPT, | |
| ) -> str: | |
| """Return the prompt registered for *task_name*, else *default*.""" | |
| if not task_name: | |
| return default | |
| slug = _slugify(task_name) | |
| return TASK_PROMPTS.get(slug, default) | |
| def resolve_prompt( | |
| task_name: str | None, | |
| user_prompt: str | None, | |
| legacy_default: str = LEGACY_DEFAULT_PROMPT, | |
| ) -> str: | |
| """Decide which prompt to use. | |
| Priority: | |
| 1. Non-empty *user_prompt* that differs from the legacy default. | |
| 2. Task-specific prompt from :data:`TASK_PROMPTS`. | |
| 3. *legacy_default*. | |
| This means the user can still override via ``--prompt "my custom text"``, | |
| while leaving ``--prompt`` untouched (or equal to the legacy default) | |
| triggers per-task auto-fill. | |
| """ | |
| if user_prompt is not None and user_prompt != "" and user_prompt != legacy_default: | |
| return user_prompt | |
| return resolve_prompt_from_task(task_name, default=legacy_default) | |