Datasets:
File size: 2,404 Bytes
dc9f099 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 | ---
dataset_info:
features:
- name: messages
list:
- name: content
dtype: string
- name: role
dtype: string
- name: images
list: string
- name: id
dtype: string
splits:
- name: NASPO_MMK12
num_examples: 2000
- name: hiyouga_geometry3k
num_examples: 601
- name: AI4Math_MathVerse
num_examples: 2180
- name: AI4Math_MathVista
num_examples: 1000
- name: We_Math
num_examples: 1740
- name: MMMU_MMMU_Pro
num_examples: 1730
- name: AI4Math_MathVerse_vision_dependent
num_examples: 1308
- name: lscpku_LogicVista
num_examples: 447
configs:
- config_name: default
data_files:
- split: NASPO_MMK12
path: data/NASPO_MMK12-*
- split: hiyouga_geometry3k
path: data/hiyouga_geometry3k-*
- split: AI4Math_MathVerse
path: data/AI4Math_MathVerse-*
- split: AI4Math_MathVista
path: data/AI4Math_MathVista-*
- split: We_Math
path: data/We_Math-*
- split: MMMU_MMMU_Pro
path: data/MMMU_MMMU_Pro-*
- split: AI4Math_MathVerse_vision_dependent
path: data/AI4Math_MathVerse_vision_dependent-*
- split: lscpku_LogicVista
path: data/lscpku_LogicVista-*
task_categories:
- image-text-to-text
language:
- en
library_name: datasets
tags:
- multimodal
- reasoning
- evaluation
---
# NAS-PO evaluation benchmark
This repository contains the eight evaluation configurations reported by
NAS-PO. They are prepared from MMK12, Geometry3K, MathVerse, MathVista,
We-Math, MMMU-Pro, and LogicVista.
The release contains eight Hugging Face dataset splits under `data/` and one
matching image ZIP for each split. The NAS-PO preprocessing command converts
the selected splits to ShareGPT JSON and extracts the archives into its local
`data/images/` directory. Image references are portable paths relative to
that materialized data root.
## Usage
```python
from datasets import load_dataset
mmk12 = load_dataset("ANke121/NASPO_eval", split="NASPO_MMK12")
assert len(mmk12) == 2000
```
The complete inference and Accuracy@8 workflow is provided by `NASPO-Eval`
in the NAS-PO source repository.
## Acknowledgements
The public
[PAPO](https://github.com/MikeWangWZHL/PAPO) release was used as a reference
for organizing these files and the evaluation workflow. The individual
datasets and benchmarks remain credited to their original creators and are
subject to their respective licenses and terms.
|