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README.md

@@ -64,7 +64,7 @@ frame_path = root / record["chunk_name"] / record["scene_id"] / f'{record["times
 
 ## JSONL schema
 
-Each line in `dataset.jsonl` is a single JSON object. Fields fall into three groups.
+Each line in `dataset.jsonl` is a single JSON object. Fields fall into two groups.
 
 ### Identity / indexing (always present)
 
@@ -74,7 +74,6 @@ Each line in `dataset.jsonl` is a single JSON object. Fields fall into three gro
 | `chunk_name`   | str    | Chunk directory the frame lives in (e.g. `"chunk_1580"`).               |
 | `scene_id`     | str    | UUID of the scene clip.                                                 |
 | `timestamp_us` | int    | Offset into the clip, in microseconds. Used to address the frame.       |
-| `sample_idx`   | int \| null | Original sample index inside the source shard (may be `null`).      |
 
 ### Trajectory + task (always present)
 
@@ -87,26 +86,11 @@ Each line in `dataset.jsonl` is a single JSON object. Fields fall into three gro
 
 Coordinates are right-handed ego-frame, units **meters / radians**, with `+x` forward and `+y` left.
 
-### Annotation fields (hard rows only)
-
-The 2,000 "hard" rows carry an additional Gemini-produced reasoning trace. Easy rows omit all of these fields.
-
-| Field                        | Type            | Meaning                                                                                       |
-|------------------------------|-----------------|-----------------------------------------------------------------------------------------------|
-| `scene`                      | str             | Free-text description of the visible scene.                                                   |
-| `longitudinal_decision`      | [label, score]  | Categorical longitudinal action label + integer confidence.                                   |
-| `longitudinal_justification` | str             | Free-text rationale for the longitudinal choice.                                              |
-| `lateral_decision`           | [label, score]  | Categorical lateral action label + integer confidence.                                        |
-| `lateral_justification`      | str             | Free-text rationale for the lateral choice.                                                   |
-| `move_justification`         | str             | Combined natural-language explanation of the planned motion.                                  |
-| `annotation_complete`        | bool            | Whether the Gemini annotation pass produced all expected fields cleanly.                      |
-| `gemini_raw`                 | str             | The raw Gemini response as a JSON-encoded string, for forensic / debugging use.               |
-
 ## Difficulty split
 
 | Difficulty | Count   | Meaning                                                                                                                                                                                 |
 |------------|---------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| `hard`     |  2,000  | Scenes selected up-front as harder, non-trivial driving situations and annotated with Gemini reasoning traces. Use these when you want a quality bar that exercises reasoning behavior. |
+| `hard`     |  2,000  | Scenes selected up-front as harder, non-trivial driving situations. Use these when you want a quality bar that exercises reasoning behavior.                                            |
 | `easy`     | 17,744  | Uniformly random scenes from the held-out US pool, gated only on "the frame renders and at least one ground-truth waypoint is visible." A broad coverage sample.                        |
 
 The `--hard` flag in the evaluation harness keeps only the 2k hard rows; without it you evaluate on the full 19,744.

camera/camera_00.zip

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camera/camera_01.zip

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dataset.jsonl

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