Datasets:

Ryoo72
/

MMBench-EN-Dev-V11

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 V1.1 — split by L2 category

The MMBench-EN-Dev-V1.1 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_V11.tsv
MD5 (verified): 30c05be8f2f347a50be25aa067248184 — matches the value registered in VLMEvalKit.
Rows: 4,876
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)	4,876
`coarse_perception`	`coarse_perception`	1,381
`finegrained_perception_single_instance`	`finegrained_perception (instance-level)`	1,128
`finegrained_perception_cross_instance`	`finegrained_perception (cross-instance)`	667
`attribute_reasoning`	`attribute_reasoning`	603
`relation_reasoning`	`relation_reasoning`	637
`logic_reasoning`	`logic_reasoning`	460

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.

Usage

from datasets import load_dataset
ds = load_dataset("Ryoo72/MMBench-EN-Dev-V11", "all", split="dev")
ds_logic = load_dataset("Ryoo72/MMBench-EN-Dev-V11", "logic_reasoning", split="dev")

V1.0: Ryoo72/MMBench-EN-Dev-V10
Paper: MMBench: Is Your Multi-modal Model an All-around Player?
Project: https://opencompass.org.cn/mmbench
Eval kit: https://github.com/open-compass/VLMEvalKit

MMBench EN Dev V1.1 — split by L2 category

Subsets

Columns

Usage

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