Ryoo72/MMBench-EN-Dev-V10

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
• MD5 (verified): b6caf1133a01c6bb705cf753bb527ed8 — matches the value registered in VLMEvalKit.
• 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

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
• 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