review: dedupe regex, centralize column names, harden collate, more tests

* **#2 — dedupe `_PLACEHOLDER_RE`.** The same regex was compiled in
  `recipe.py` and `language_render.py`. Promote to module-level
  `PLACEHOLDER_RE` in `recipe.py` (its primary owner — declares
  template syntax) and import from `language_render.py`.
* **#3 — centralize language column names.** `io_utils.py` had
  hardcoded `{"language_persistent", "language_events"}` literals at
  two sites. Replace with `LANGUAGE_COLUMNS` import so a future column
  rename can't silently desync.
* **#4 — defensive collate preserved-keys.** `lerobot_collate_fn`
  silently filtered language fields from samples that didn't have
  them, which would hand downstream consumers a preserved list
  shorter than the tensor batch. Now: if any sample carries a key,
  every sample in the batch must carry it; otherwise raise a
  `ValueError` so the upstream rendering bug surfaces at the boundary.
* **#5 — `_scalar` rejects non-singleton lists.** Previously a zero-
  or multi-element list fell through and triggered confusing
  `float([])` errors downstream. Now raises `ValueError` with the
  actual length.
* **#6 — refactor `_extract_complementary_data`.** Replace 11 lines
  of `key = {... if ... else {}}` plus an 11-line splat dict with a
  single `_COMPLEMENTARY_KEYS` tuple iterated once.
* **#7 — document `EXTENDED_STYLES`.** Was an empty `set()` with no
  comment. Add a docstring explaining it's an intentional extension
  point: downstream modules append project-local styles before
  `column_for_style` is called.
* **#9 — `tools.mdx` notes the runtime layer is future work.** The
  page referenced `src/lerobot/tools/`, `registry.py`, and
  `get_tools(meta)` — none exist in this PR. Added a callout at the
  start of "How to add your own tool" plus a note on the
  implementations paragraph.
* **#10 — tests for YAML round-trip, malformed rows, blend
  validation.** `test_recipe.py` grew from 1 case to 12 covering:
  blend-or-messages exclusivity, target-turn requirement, blend
  emptiness, weight presence/positivity, nested-blend rejection,
  `from_dict` with nested blends, `from_yaml` / `load_recipe`
  agreement, top-level non-mapping rejection. Added a malformed-row
  test for `_normalize_rows` that asserts non-dict entries raise
  `TypeError`.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

tests/datasets/test_language_render.py

@@ -342,6 +342,29 @@ def test_resolve_task_explicit_override_beats_rephrasings():
     assert rendered["messages"][0]["content"] == "explicit override wins"
 
 
+def test_render_sample_rejects_non_dict_language_rows():
+    """``_normalize_rows`` must surface malformed inputs as TypeError.
+
+    A pipeline that hands the renderer a non-dict (e.g. a stray string)
+    is a real upstream bug — silent skipping would let it propagate.
+    """
+    recipe = TrainingRecipe(
+        messages=[
+            MessageTurn(role="user", content="${task}", stream="high_level"),
+            MessageTurn(role="assistant", content="ok", stream="high_level", target=True),
+        ]
+    )
+    with pytest.raises(TypeError, match="must be dictionaries"):
+        render_sample(
+            recipe=recipe,
+            persistent=["not a dict"],
+            events=[],
+            t=0.0,
+            sample_idx=0,
+            task="x",
+        )
+
+
 def test_low_level_branch_renders_active_subtask():
     low_level = TrainingRecipe(
         blend={