| --- |
| pretty_name: MAGAR-Bench (Test inputs) |
| license: cc-by-nc-4.0 |
| task_categories: |
| - visual-question-answering |
| tags: |
| - multimodal |
| - gui-agents |
| - 3d-mechanical-assembly |
| - minimal-rework |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: test.jsonl |
| --- |
| |
| # MAGAR-Bench — Test inputs |
|
|
| This repository distributes only the public Test inputs of MAGAR-Bench: |
| **1,000 samples, six assembly families, and 1,140 unique PNG files**. |
| The paper's full benchmark contains 4,000 samples (3,000 Train and 1,000 Test); |
| the Train split is not included in this release. |
|
|
| | Task family | Test samples | |
| |---|---:| |
| | Assembly Decision | 238 | |
| | Atomic Action | 662 | |
| | Minimal Rework | 100 | |
| | Total | 1,000 | |
|
|
| The six Test families are `gearbox_structure`, `luban_12_pillars`, |
| `parametric_box_lock_01`, `parametric_tower_lock_10`, |
| `spherical_interlocking_structure`, and `triangle_dovetail_structure`. |
| They are disjoint from the original Train families. |
|
|
| ## Contents |
|
|
| All upload files are at the repository root; there is no need to drag thousands |
| of image files into the web uploader. |
|
|
| | File | Purpose | |
| |---|---| |
| | `test.jsonl` | 1,000 Test inputs; no assistant messages or reference answers | |
| | `images.zip` | Exactly the 1,140 PNG files referenced by Test; paths start with `images/` | |
| | `image_manifest.json` | SHA-256 and byte size of each archived image | |
| | `schema.json`, `task_contract.md` | Input fields and model output contracts | |
| | `release_manifest.json` | Release version, counts, source hash and export changes | |
| | `load_test.py` | Standard-library loader with validated image extraction | |
| | `verify_release.py` | Record, archive, boundary and checksum validation | |
| | `LICENSE`, `ASSET_LICENSE.md` | License scope and image/Unity rights status | |
| | `MANIFEST.sha256` | Checksums of the shipped files | |
|
|
| ## Load a downloaded repository |
|
|
| Python 3.11 or newer is required; no third-party packages are needed: |
|
|
| ```bash |
| python verify_release.py |
| python load_test.py |
| ``` |
|
|
| The loader extracts the image archive into a temporary cache outside the |
| repository and resolves each record's image paths. To choose a persistent |
| cache location: |
|
|
| ```bash |
| python load_test.py --extract-dir ../magar_test_image_cache |
| ``` |
|
|
| From Python, with this repository on the module search path: |
|
|
| ```python |
| from load_test import load_test |
| |
| records = load_test() |
| sample = records[0] |
| messages = sample["messages"] # public user prompt, in original order |
| image_paths = sample["images"] # absolute paths to extracted PNG files |
| ``` |
|
|
| Alternatively, read the table using Hugging Face Datasets: |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("json", data_files={"test": "test.jsonl"}) |
| ``` |
|
|
| This last example loads only the table. It does not download/extract the image |
| archive. Image paths in `test.jsonl` are relative to the archive extraction |
| directory. The Dataset Viewer is configured for the Test table; image path |
| strings are not embedded Image features and do not provide inline image |
| previews. Extract `images.zip` before using the PNG files locally. |
|
|
| ## Evaluation boundary |
|
|
| Reference answers, locked Test gold, training records, human-evaluation |
| records, LLM-as-Judge outputs and experimental results are not included. |
| `verify_release.py` checks release integrity; it is not a benchmark scorer. |
| This package alone cannot compute answer-based benchmark scores; scoring |
| requires the separately maintained private references and evaluator. |
|
|
| Use the user messages and images as model inputs. Metadata is for indexing and |
| analysis. Predict one JSON object per sample according to `task_contract.md`. |
|
|
| ## Version and provenance |
|
|
| Release `magar-bench-test-inputs-v1` is a separately versioned public export |
| of the frozen hardened-v3 Test inputs. Sample IDs, row order, user messages, |
| image order and image bytes are preserved. It is not a new benchmark split. |
|
|
| Metadata is reduced to the allowlist in `schema.json`. The export removes |
| semantic high-level task IDs, internal provenance paths, reviewer fields and |
| construction/audit flags. Removed-field counts are recorded in |
| `release_manifest.json`. This is an explicit export change; the original |
| frozen source files remain unchanged. |
|
|
| Some legacy Assembly Decision prompts mention `high_level_task_id` before a |
| later explicit vocabulary clause excludes it. The three output keys in |
| `task_contract.md` and that later clause are authoritative. We preserve the |
| original user messages and document this inconsistency rather than silently |
| rewriting the frozen prompts. |
|
|
| ## License and attribution |
|
|
| Dataset content and cleared images use CC BY-NC 4.0; original Python helpers |
| use Apache-2.0. See `LICENSE` and `ASSET_LICENSE.md`. Asset ownership and |
| third-party redistribution clearance are not established by an integrity |
| check. The inherited maintainer asset attestation remains pending. |
|
|
| The associated manuscript is **MAGAG Multimodal Agents for GUI-Based 3D |
| Mechanical Assembly and Minimal Rework**. A verified author list and public |
| paper identifier were not available during this export; no arXiv identifier |
| or author citation is asserted here. |
|
|
