dataset_info: | |
features: | |
- name: thread_id | |
dtype: string | |
- name: image | |
dtype: image | |
- name: question | |
dtype: string | |
- name: ground_truth | |
dtype: string | |
- name: score | |
dtype: int64 | |
- name: explanation | |
dtype: string | |
- name: response | |
struct: | |
- name: content | |
dtype: string | |
- name: model | |
dtype: string | |
- name: label | |
struct: | |
- name: '1' | |
struct: | |
- name: explanation | |
dtype: string | |
- name: score | |
dtype: int64 | |
- name: '2' | |
struct: | |
- name: explanation | |
dtype: string | |
- name: score | |
dtype: int64 | |
- name: '4' | |
struct: | |
- name: explanation | |
dtype: string | |
- name: score | |
dtype: int64 | |
splits: | |
- name: test | |
num_bytes: 166626141.0 | |
num_examples: 131 | |
download_size: 160730239 | |
dataset_size: 166626141.0 | |
configs: | |
- config_name: default | |
data_files: | |
- split: test | |
path: data/test-* | |
# VisTai-Dialogue: Visual Free Form Dialogue Benchmark | |
VisTai-Dialogue is a visual free-form generation benchmark designed to bridge the gap between real-world user interactions and typical model evaluation procedures. Specifically, our goal is to reflect authentic user experiences when interacting with VLMs in Traditional Chinese, where users naturally engage in open-ended dialogues rather than structured question-answering formats. |