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.gitattributes

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README.md

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+---
+task_categories:
+- multiple-choice
+- question-answering
+- visual-question-answering
+language:
+- en
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: val
+  data_files:
+  - split: val
+    path: "mmstar.parquet"
+dataset_info:
+  - config_name: val
+    features:
+      - name: index
+        dtype: int64
+      - name: question
+        dtype: string
+      - name: image
+        dtype: image
+      - name: answer
+        dtype: string
+      - name: category
+        dtype: string
+      - name: l2_category
+        dtype: string
+      - name: meta_info
+        struct:
+        - name: source
+          dtype: string
+        - name: split
+          dtype: string
+        - name: image_path
+          dtype: string
+        - name: passrate_for_qwen2.5_vl_7b
+          dtype: float64
+        - name: difficulty_level_for_qwen2.5_vl_7b
+          dtype: int64
+    splits:
+      - name: val
+        num_bytes: 44831593
+        num_examples: 1500
+---
+
+
+# MMStar with difficulty level tags
+
+This dataset extends the 🤗 [MMStar](https://huggingface.co/datasets/Lin-Chen/MMStar) benchmark by introducing two additional tags: **passrate_for_qwen2.5_vl_7b** and **difficulty_level_for_qwen2.5_vl_7b**. Further details are available in our paper.
+
+
+
+## 🚀 Data Usage
+
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("JierunChen/MMStar_with_difficulty_level")
+print(dataset)
+```
+
+## 📑 Citation
+
+If you find this benchmark useful in your research, please consider citing this BibTex:
+```latex
+@article{chen2024we,
+  title={Are We on the Right Way for Evaluating Large Vision-Language Models?},
+  author={Chen, Lin and Li, Jinsong and Dong, Xiaoyi and Zhang, Pan and Zang, Yuhang and Chen, Zehui and Duan, Haodong and Wang, Jiaqi and Qiao, Yu and Lin, Dahua and others},
+  journal={arXiv preprint arXiv:2403.20330},
+  year={2024}
+}
+```

mmstar.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4ff04e35110feaff98f11307eb9e8916f45c10d1be385567c923ea016fd0bab0
+size 41780746