| # SimVerse / cube2 | |
| Cube goal-roll (top-face directions): given a cube whose initial outer-surface configuration is shown as a cross net and a target top-face image, output a sequence of `N`/`S`/`E`/`W` rolls so the cube's top face matches the target. | |
| - **Records:** 502 levels | |
| - **Modality:** initial cross-net image + target top-face image | |
| - **Output:** `{"directions": ["N", "E", "S", ...]}` (open-ended; multiple sequences may be valid) | |
| ## Loading | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("SimVer-ano/simverse2026", "cube2") | |
| example = ds["test"][0] | |
| system_text = example["prompt"]["system"] | |
| user_text = example["prompt"]["user"] | |
| initial_img = example["images_relative_to_config"]["initialNetImage"] # e.g. "images/C001/initial_net.png" | |
| target_img = example["images_relative_to_config"]["targetTopFaceImage"] # e.g. "images/C001/target_top_face.png" | |
| reference_directions = example["answer"]["directions"] # one known-valid sequence, NOT the only valid one | |
| ``` | |
| ## Schema | |
| | Field | Type | Description | | |
| |---|---|---| | |
| | `code` | string | Level id, e.g. `"C001"` | | |
| | `__sample_id__` | string | Same as `code` | | |
| | `prompt.system` / `prompt.user` | string | Exact prompt text | | |
| | `taskType` | string | Always `"roll_to_target_top_face"` | | |
| | `initialCube.net.cells` | list | The visible cross-net cells with `(faceKey, row, col, patternId, rotation)` | | |
| | `initialCube.solutionFaces` | dict | Visible faces' `(patternId, rotation)` mapping | | |
| | `targetTopFace` | dict | Target's `patternId, rotation` | | |
| | `rollSequence` | list[string] | The original roll sequence used to generate this puzzle | | |
| | `observedPathFaces` | list | Per-step bottom-face imprints (mostly informational) | | |
| | `metadata` | dict | `difficulty`, `tier`, `moveCount`, etc. | | |
| | `imagePaths` | dict | `initialNetImage`, `targetTopFaceImage` (relative to data dir) | | |
| | `images_relative_to_config` | dict | Same paths rewritten to be relative to this config's root | | |
| | `answer.directions` | list[string] | One known-valid direction sequence; the validator accepts any sequence whose simulated top-face matches the target | | |
| | `legacy_answer` | dict | Pre-v1 face-map answer from the original cube reconstruction task variant (kept for back-compat) | | |
| ## Open-ended scoring | |
| cube2 is **open-ended**: the reference `answer.directions` is just *one* known-valid sequence. The benchmark's validator runs the engine on the model's directions and checks whether the resulting top face matches `targetTopFace`. Multiple distinct sequences can earn full credit. | |
| ## Companion file | |
| `catalog.json` mirrors `data2/index.json` — a fat JSON the frontend demo uses for the level grid. | |
| ## License | |
| MIT — see [LICENSE](../LICENSE) at the repo root. | |