Duplicate from cambridgeltl/DARE

Co-authored-by: hSterz <hSterz@users.noreply.huggingface.co>

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README.md

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+---
+language:
+- en
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: instance_id
+    dtype: int64
+  - name: question
+    dtype: string
+  - name: answer
+    list:
+      dtype: string
+  - name: A
+    dtype: string
+  - name: B
+    dtype: string
+  - name: C
+    dtype: string
+  - name: D
+    dtype: string
+  - name: category
+    dtype: string
+  - name: img
+    dtype: image
+configs:
+- config_name: 1_correct
+  data_files:
+  - split: validation
+    path: 1_correct/validation/0000.parquet
+  - split: test
+    path: 1_correct/test/0000.parquet
+- config_name: 1_correct_var
+  data_files:
+  - split: validation
+    path: 1_correct_var/validation/0000.parquet
+  - split: test
+    path: 1_correct_var/test/0000.parquet
+- config_name: n_correct
+  data_files:
+  - split: validation
+    path: n_correct/validation/0000.parquet
+  - split: test
+    path: n_correct/test/0000.parquet
+---
+ # DARE
+
+DARE (Diverse Visual Question Answering with Robustness Evaluation) is a carefully created and curated multiple-choice VQA benchmark.
+DARE evaluates VLM performance on five diverse categories and includes four robustness-oriented evaluations based on the variations of:
+- prompts
+- the subsets of answer options
+- the output format
+- the number of correct answers.
+
+The validation split of the dataset contains images, questions, answer options, and correct answers. We are not publishing the correct answers for the test split to prevent contamination.
+
+## Load the Dataset
+
+To use the dataset use the huggingface datasets library: 
+
+```
+from datasets import load_dataset
+
+# Load the dataset
+subset = "1_correct" # Change to the subset that you want to use
+dataset = load_dataset("cambridgeltl/DARE", subset)
+```
+
+## Citation
+
+If you use this dataset, please cite our paper:
+```
+@article{sterz2024dare,
+  title={DARE: Diverse Visual Question Answering with Robustness Evaluation},
+  author={Sterz, Hannah and Pfeiffer, Jonas and Vuli{\'c}, Ivan},
+  journal={arXiv preprint arXiv:2409.18023},
+  year={2024}
+}
+```

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