| --- |
| language: |
| - en |
| license: apache-2.0 |
| task_categories: |
| - visual-question-answering |
| - multiple-choice |
| tags: |
| - mmbench |
| - multimodal |
| - vlm-eval |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: all |
| data_files: |
| - split: dev |
| path: all/dev-* |
| - config_name: coarse_perception |
| data_files: |
| - split: dev |
| path: coarse_perception/dev-* |
| - config_name: finegrained_perception_single_instance |
| data_files: |
| - split: dev |
| path: finegrained_perception_single_instance/dev-* |
| - config_name: finegrained_perception_cross_instance |
| data_files: |
| - split: dev |
| path: finegrained_perception_cross_instance/dev-* |
| - config_name: attribute_reasoning |
| data_files: |
| - split: dev |
| path: attribute_reasoning/dev-* |
| - config_name: relation_reasoning |
| data_files: |
| - split: dev |
| path: relation_reasoning/dev-* |
| - config_name: logic_reasoning |
| data_files: |
| - split: dev |
| path: logic_reasoning/dev-* |
| --- |
| |
| # MMBench EN Dev V1.0 — split by L2 category |
|
|
| The **MMBench-EN-Dev-V1.0** dev split, pre-split into 6 subsets by the original `l2-category` field for convenient browsing in the dataset viewer. |
|
|
| - **Source**: official OpenCompass TSV [`MMBench_DEV_EN.tsv`](http://opencompass.openxlab.space/utils/benchmarks/MMBench/MMBench_DEV_EN.tsv) |
| - **MD5 (verified)**: `b6caf1133a01c6bb705cf753bb527ed8` — matches the value registered in [VLMEvalKit](https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_mcq.py). |
| - **Rows**: 4,329 |
| - **Format note**: the source TSV uses VLMEvalKit's compressed CircularEval format where many rows reference another row's image by `index` instead of storing base64. References are **resolved** here, so every row carries its own decoded `image`. |
|
|
| ## Subsets |
|
|
| | Config | Source `l2-category` | # samples | |
| |---|---|---:| |
| | `all` | (everything) | 4,329 | |
| | `coarse_perception` | `coarse_perception` | 1,109 | |
| | `finegrained_perception_single_instance` | `finegrained_perception (instance-level)` | 1,131 | |
| | `finegrained_perception_cross_instance` | `finegrained_perception (cross-instance)` | 533 | |
| | `attribute_reasoning` | `attribute_reasoning` | 699 | |
| | `relation_reasoning` | `relation_reasoning` | 445 | |
| | `logic_reasoning` | `logic_reasoning` | 412 | |
|
|
| Each subset has a single split: `dev`. The L3 ability ladder (20 fine-grained classes) is preserved in the `category` column. |
|
|
| ## Columns |
|
|
| `index`, `question`, `hint`, `A`, `B`, `C`, `D`, `answer`, `category` (L3, 20 classes), `image` (PIL), `l2-category` (L2, 6 classes), `split`, `source`, `comment`. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("Ryoo72/MMBench-EN-Dev-V10", "all", split="dev") |
| ds_logic = load_dataset("Ryoo72/MMBench-EN-Dev-V10", "logic_reasoning", split="dev") |
| ``` |
|
|
| ## Related |
|
|
| - **V1.1**: [Ryoo72/MMBench-EN-Dev-V11](https://huggingface.co/datasets/Ryoo72/MMBench-EN-Dev-V11) |
| - Paper: [MMBench: Is Your Multi-modal Model an All-around Player?](https://arxiv.org/abs/2307.06281) |
| - Project: <https://opencompass.org.cn/mmbench> |
| - Eval kit: <https://github.com/open-compass/VLMEvalKit> |
|
|
