issai/MMstar_Kazakh_Russian
收藏Hugging Face2026-02-18 更新2026-04-05 收录
下载链接：
https://hf-mirror.com/datasets/issai/MMstar_Kazakh_Russian
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资源简介：
---
dataset_info:
- config_name: kazakh
features:
- name: question
dtype: string
- name: image
dtype: image
- name: answer
dtype: string
- name: category
dtype: string
- name: l2_category
dtype: string
splits:
- name: test
num_bytes: 44891472
num_examples: 1500
download_size: 42257190
dataset_size: 44891472
- config_name: russian
features:
- name: question
dtype: string
- name: image
dtype: image
- name: answer
dtype: string
- name: category
dtype: string
- name: l2_category
dtype: string
splits:
- name: test
num_bytes: 44923176
num_examples: 1500
download_size: 42305713
dataset_size: 44923176
configs:
- config_name: kazakh
data_files:
- split: test
path: kazakh/test-*
- config_name: russian
data_files:
- split: test
path: russian/test-*
task_categories:
- question-answering
language:
- kk
size_categories:
- 1K<n<10K
---
## Dataset Summary
These are the machine-translated Kazakh and Russian versions of the [MMStar](https://huggingface.co/datasets/Lin-Chen/MMStar) dataset.
MMStar is an elite vision-language benchmark consisting of high-quality, non-redundant multimodal samples designed to evaluate 6 core capabilities and 18 detailed dimensions of Large Multimodal Models (LMMs). Kazakh and Russian versions serve as a benchmark for evaluating how well models perform advanced visual recognition and multi-step reasoning while avoiding "data leakage" shortcuts, specifically when prompted in Kazakh or Russian.
提供机构：
issai
