Commit Graph

5 Commits

Author SHA1 Message Date
Pepijn 1ff10b935c Merge branch 'feat/language-annotation-pipeline' into feat/smolvla-on-steerable
Resolves conflicts from 66 commits on the base branch:

* pyproject.toml — keep base's transformers>=5.4.0,<5.6.0; add the
  sentencepiece-dep entry pi052 (FAST action tokenizer) needs.
* policies/__init__.py — keep pi052 export; drop the
  RewardClassifierConfig export that base removed.
* policies/factory.py — docstring list resolution (keep pi052; drop
  reward_classifier, removed by base).
* annotations/steerable_pipeline/executor.py — adopt base's renamed
  _ensure_annotation_metadata_in_info (it already advertises the say
  tool); drop pi052's older _ensure_tools_in_info call.
* configs/train.py — keep pi052's vqa_target_fraction; adopt base's
  SampleWeightingConfig (legacy RA-BC inline params already covered
  by the migration shim base added).
* scripts/lerobot_train.py — merge pi052's per-policy processor
  rebuild + dataset_repo_id pass-through with base's active_cfg /
  is_reward_model_training tightening, and re-route vqa-weighted
  sampler to active_cfg.drop_n_last_frames.
* datasets/language_render.py — adopt base's _select_one + timestamp
  tolerance (drops pi052's stale _select_latest / per-style sort_key).
* tests — adopt base's parametrized per-camera blend + tolerance
  test; drop pi052 tests that overlap with base's tighter rewrites;
  keep pi052's flow-only / VQA-blend coverage; add a
  test_canonical_recipe_loads check on subtask_mem_vqa_speech.yaml.
* policies/pi052/processor_pi052.py — import RenderMessagesStep
  directly from render_messages_processor (base intentionally
  dropped it from lerobot.processor's re-exports).
* uv.lock — regenerated cleanly from base + pi052's pocket-tts /
  beartype.

All 67 touched tests pass (30 pi052 + 37 recipe / language-render /
pipeline / render-messages).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-25 14:47:09 +02:00
pepijn e425dfd624 fix(processor): fallback to task message when recipe misses
Keep action-only samples trainable by rendering the task as a low-level user message when no recipe branch matches.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-19 15:32:09 +00:00
Pepijn 24d2ffe3c6 fix(language): keep base install green — drop processor re-export, gate dataset-extra tests
`lerobot.processor` re-exported `RenderMessagesStep` at the package
level, so importing anything from `lerobot.processor` pulled in
`lerobot.datasets.language` → `lerobot.datasets/__init__.py` →
`require_package("datasets")`, which fails in the Tier 1 base install
that intentionally omits the `[dataset]` extra. The chain bricked
collection for unrelated suites (`tests/policies/pi0_pi05/...`,
`tests/envs/...`, etc.).

* Stop re-exporting `RenderMessagesStep` from `lerobot.processor`. The
  only consumer (the test) already imports from the submodule.
  Document the deliberate omission in the module docstring.
* Add `pytest.importorskip("datasets", ...)` (and `pandas` where
  needed) at the top of the four PR-added tests that exercise the
  language stack:
  - tests/datasets/test_language.py
  - tests/datasets/test_language_render.py
  - tests/processor/test_render_messages_processor.py
  - tests/utils/test_collate.py

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-06 14:12:54 +02:00
Pepijn 5a6aa64570 feat(language): per-camera tagging on view-dependent styles
Adds a nullable `camera` field to the language row struct (both persistent
and event variants) so view-dependent styles like `vqa` can carry which
`observation.images.*` view they were grounded against. Without this,
multi-camera datasets ended up with multiple `(vqa, role)` rows at the
same timestamp that the resolver could not disambiguate.

- `language.py`: add `camera` to PERSISTENT_ROW_FIELDS / EVENT_ROW_FIELDS,
  to both Arrow struct types and the HF datasets feature mappings;
  introduce VIEW_DEPENDENT_STYLES = {vqa, motion, trace} plus
  `is_view_dependent_style` and `validate_camera_field` helpers (camera
  required iff style is view-dependent).
- `language_render.py`: thread an optional `camera=` kwarg through every
  resolver (`active_at`, `emitted_at`, `nth_prev`, `nth_next`) and through
  `_matching_rows` / `_select_*`, so recipes can disambiguate per-camera
  VQA with `emitted_at(t, style=vqa, role=assistant, camera=...)`.
  Without a `camera` filter, multi-row matches keep raising the existing
  ambiguity error — which is the desired behaviour on multi-camera data.
- `recipes/pi05_hirobot.yaml`: replace the single `ask_vqa` branch with
  `ask_vqa_top` and `ask_vqa_wrist` per-camera sub-recipes (each carrying
  the matching image block), keeping the original 0.20 budget and
  documenting the customization point for datasets with different cameras.
- Tests: schema test asserts the new field order; new tests cover
  `is_view_dependent_style`, `validate_camera_field` (both required and
  forbidden directions), per-camera `emitted_at` filtering, and the
  ambiguity error when two cameras emit `(vqa, assistant)` at the same
  timestamp without a `camera=` filter. RenderMessagesStep + dataset
  passthrough fixtures updated to include the new field.
- `docs/source/language_and_recipes.mdx`: document the `camera` field,
  the per-camera resolver pattern, and the canonical recipe convention.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-30 10:48:17 +02:00
Pepijn 8833d735a1 Add extensive language support 2026-04-27 10:56:32 +02:00