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https://github.com/huggingface/lerobot.git
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Pepijn
cec8ee0be6
Steerable annotation pipeline (lerobot-annotate) that populates the language_persistent and language_events columns introduced in PR 1 (#3467) directly into data/chunk-*/file-*.parquet. This is PR 2 of the three-PR plan: PR 1 (Add extensive language support #3467): schema + DSL + rendering, base of this PR PR 2 (this PR): annotation pipeline writing into PR 1's columns PR 3: model with language prediction and runtime A VLM (Qwen-VL family, served on vLLM) watches each episode's video and emits grounded language annotations: subtasks, plans, memory, task rephrasings, interjections + speech, and per-camera VQA. The pipeline is built for production annotation at scale — single-camera grounding, embedded-frame inputs, a describe-then-segment grounding flow, and a deterministic full-episode coverage guarantee — informed by Scale's dense-captioning findings (representation > sampling, rules > reasoning, model capacity is the biggest lever, two-pass systems compound errors)
59 lines
2.0 KiB
Python
59 lines
2.0 KiB
Python
#!/usr/bin/env python
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# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Shared fixtures for annotation-pipeline tests.
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The on-disk dataset builder lives with the other dataset factories in
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``tests/fixtures/dataset_factories.py`` (:func:`build_annotation_dataset`);
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these fixtures only wire it into pytest.
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"""
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from __future__ import annotations
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from pathlib import Path
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import pytest
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# ``build_annotation_dataset`` pulls in ``lerobot.datasets`` (HF ``datasets``
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# + ``pandas``, only in the ``dataset`` extra), so it's imported lazily inside
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# each fixture — this conftest stays importable without that extra. The test
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# modules ``pytest.importorskip("datasets")`` so they skip rather than error.
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@pytest.fixture
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def fixture_dataset_root(tmp_path: Path) -> Path:
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"""A tiny dataset with two episodes, 12 frames each at 10 fps."""
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from tests.fixtures.dataset_factories import build_annotation_dataset
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return build_annotation_dataset(
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tmp_path / "ds",
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episode_specs=[
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(0, 12, "Could you tidy the kitchen please?"),
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(1, 12, "Please clean up the kitchen"),
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],
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fps=10,
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)
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@pytest.fixture
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def single_episode_root(tmp_path: Path) -> Path:
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from tests.fixtures.dataset_factories import build_annotation_dataset
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return build_annotation_dataset(
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tmp_path / "ds_one",
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episode_specs=[(0, 30, "Pour water from the bottle into the cup.")],
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fps=10,
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)
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