| # SimVerse / cube1 | |
| Cube reconstruction (six-face map): given a blank cross net of a cube and a top-down image of the bottom-face imprints stamped along a roll path, reconstruct the patternId and rotation of every outer face. | |
| - **Records:** 502 levels | |
| - **Modality:** blank cross net image + top-down path-imprint image | |
| - **Output:** `{"faces": {"TOP": {patternId, rotation}, "BOTTOM": ..., ..., "RIGHT": ...}}` | |
| ## Loading | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("SimVer-ano/simverse2026", "cube1") | |
| example = ds["test"][0] | |
| system_text = example["prompt"]["system"] | |
| user_text = example["prompt"]["user"] | |
| # Image paths (relative to this config's root) | |
| blank_net = example["image_paths"]["blank_net_image"] # e.g. "images/blank_nets/open.png" | |
| path_seq = example["image_paths"]["path_sequence_image"] # e.g. "images/path_sequences/C001_path_sequence.png" | |
| gold_faces = example["answer"]["faces"] # {TOP: {...}, BOTTOM: {...}, ...} | |
| ``` | |
| The image paths in `image_paths` are already relative to this config's root, so you can resolve them as-is. | |
| ## Schema | |
| | Field | Type | Description | | |
| |---|---|---| | |
| | `sample_id` | string | Level id, e.g. `"C001"` | | |
| | `__sample_id__` | string | Same as `sample_id` | | |
| | `prompt.system` / `prompt.user` | string | Exact prompt text | | |
| | `net_layout` | string | Net layout name (e.g. `"standard_cross"`) | | |
| | `roll_sequence` | list[string] | Sequence of rolls, each `"N"`/`"S"`/`"E"`/`"W"` | | |
| | `observed_path_faces` | list of face observations | Per-step bottom-face imprints visible in the path image | | |
| | `image_paths.blank_net_image` | string | Blank cross net image path | | |
| | `image_paths.path_sequence_image` | string | Top-down path imprint image path | | |
| | `metadata` | dict | `difficulty`, `move_count`, `tier`, `tier_label`, etc. | | |
| | `net_faces` | list of face dicts | Net cells with their initial patterns and rotations | | |
| | `bottom_faces` | list of stamped face dicts | The imprints with their `(x, y)` positions | | |
| | `slot_sequence` / `required_slots` / `required_count` | various | Which faces the engine ranks for partial-credit scoring | | |
| | `true_solution_faces` | dict | Ground-truth full face map (used for scoring) | | |
| | `answer.faces` | dict | Reference `(patternId, rotation)` per face | | |
| | `legacy_answer` | dict | Pre-v1 bare face map (kept for back-compat) | | |
| ## Companion file | |
| `catalog.json` mirrors the original `levels/index.json` — a fat JSON containing every level's full data inline. The frontend demo at <https://github.com/SimVer-ano/simverse2026> reads this file. It is regenerable from `data/*.json` via `python cube1/regenerate_catalog.py` in the repo. | |
| ## "?" sentinel rule | |
| Each face's `patternId` is either a string from the per-level allowed-patternId list, or the literal `"?"` meaning "cannot be uniquely determined". When `patternId == "?"`, `rotation` is forced to `0`. The validator scores `?` against `?` as correct; `?` against a concrete pattern (or vice versa) as wrong. | |
| ## License | |
| MIT — see [LICENSE](../LICENSE) at the repo root. | |