| --- |
| license: cc-by-nc-4.0 |
| language: |
| - en |
| size_categories: |
| - n<1K |
| tags: |
| - spatial-reasoning |
| - multimodal |
| - benchmark |
| pretty_name: SixthView Benchmark |
| configs: |
| - config_name: inputs |
| data_files: |
| - split: test |
| path: benchmark/inputs.jsonl |
| - config_name: golden |
| data_files: |
| - split: test |
| path: benchmark/golden.jsonl |
| --- |
| |
| # SixthView Benchmark |
|
|
| SixthView evaluates spatial reasoning by asking models to predict a withheld |
| face of a block assembled from interlocking cube pieces. Each example includes |
| text and image inputs together with the underlying 3D structure and answer. |
|
|
| | file | rows | what | |
| |---|---|---| |
| | `benchmark/inputs.jsonl` | 604 | the exact model input for every arm, keyed by `id` | |
| | `benchmark/golden.jsonl` | 604 | the real 3D structure and the expected model output, keyed by `id` | |
| | `benchmark/images/<id>/` | 11,634 PNGs | every image referenced by `inputs.jsonl` | |
|
|
| ## Usage |
|
|
| Clone this repository to download the benchmark: |
|
|
| ```bash |
| git lfs install |
| git clone https://huggingface.co/datasets/facebook/sixthview_benchmark |
| ``` |
|
|
| Read `benchmark/inputs.jsonl` and resolve its image paths relative to `benchmark/`. |
| Join examples with `benchmark/golden.jsonl` by `id` for evaluation. |
|
|
| ## inputs.jsonl |
|
|
| ``` |
| id, n, k, level, held_out |
| arms: { |
| arm1: {arm_name: "text", prompt_text, images: []} |
| arm2: {arm_name: "multiple images", prompt_text, images: [6 faces + 2 renders per piece]} |
| arm3: {arm_name: "text + multiple images", prompt_text, images: [same as arm2]} |
| arm4: {arm_name: "single image", prompt_text, images: [merged sheet]} |
| } |
| ``` |
|
|
| `prompt_text` is byte-identical to what was sent (`prompt_sha` is included for |
| verification). Images are sent in the listed order; paths are relative to |
| `benchmark/`. The held-out face image is the `PREDICT THIS` placeholder, never the |
| real face — this folder contains no answer-revealing images. |
|
|
| ## golden.jsonl |
|
|
| | field | | |
| |---|---| |
| | `structure_3d` | the real internal structure, an n×n×n array indexed **`[z][y][x]`**, z = 0 at the bottom. Each cell is the letter of the piece occupying it, or `"."` for empty. | |
| | `pieces` | the same structure per piece: `{letter: [[x, y, z], ...]}` in block coordinates | |
| | `held_out` | which face is withheld (`+X -X +Y -Y +Z -Z`); the camera sits on that side and looks inward | |
| | `answer_grid` | the withheld face: list of n strings, top row first, leftmost character first. Letter = first piece the ray meets, `"."` = see-through. | |
| | `expected_output` | the output we expect from the model, i.e. the JSON object the prompt asks for. The prompt also asks for a free-text `"reason"` key, which is recorded but not scored. Scoring is an exact match on `answer`. | |
| | `majority_baseline`, `opposite_baseline` | cell accuracy from always guessing the most common letter, and from mirroring the opposite face | |
|
|
| Screen axes of each face (right, up): `+X`(+Y,+Z) `-X`(-Y,+Z) `+Y`(-X,+Z) |
| `-Y`(+X,+Z) `+Z`(+X,+Y) `-Z`(-X,+Y). Ray-casting `structure_3d` from `held_out` |
| with these axes reproduces `answer_grid` exactly. This was checked on all 604 rows. |
|
|
| ## Validation |
|
|
| With Python 3.10 or newer, run: |
|
|
| ```bash |
| python scripts/check_benchmark.py |
| ``` |
|
|
| The check verifies example IDs, prompt hashes, image references, PNG headers, |
| piece coordinates, and answers computed from the 3D structures. GitHub Actions |
| runs this check on pushes and pull requests. |
|
|
| ## License |
|
|
| Copyright (c) Meta Platforms, Inc. and affiliates. |
|
|
| This repository, including the benchmark data, images, documentation, and |
| validation script, is licensed under the |
| [Creative Commons Attribution-NonCommercial 4.0 International license |
| (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). |
| You may share and adapt the material for noncommercial purposes with appropriate |
| attribution and an indication of changes. Commercial use is not permitted under |
| this license. See [LICENSE](LICENSE) for the full terms. |
|
|
| Source: https://github.com/facebookresearch/sixthview_benchmark |
| |
| Prepared from source commit `0de761309cfb16044cee09cd6ed141b1122a5514`. The benchmark JSONL files and PNGs are copied byte for byte. This dataset card adapts the source README for Hugging Face. |
| |
