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Co-authored-by: Yuliang Liu <34134635+Yuliang-Liu@users.noreply.github.com>

models/mPLUG_Owl/OwlEval/OwlEval.md

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+# OwlEval
+
+We have compiled some examples and their corresponding questions from recent open-source work, and organized them into OwlEval.
+
+Following we will introduce the OwlEval and the data format in this document.
+
+## Data Format
+
+### questions
+
+`questions.jsonl` contains case images and information about their corresponding questions
+
+Each row contains the following field:
+
+- `image`: Indicates the name of the picture
+- `question_id`: Indicate the question id number, there are 82 questions
+
+- `question`: Represents specific problem information
+- `type`：Indicate whether the problem is a single-turn problem or a multi-turn problem
+
+For example:
+
+```json
+{"image": "1.jpg", "question_id": 1, "question": "What is funny about this image? Describe it panel by panel.", "type": ["single"]}
+```
+
+### answer
+
+This contains the responses of each model for each question, integrated into six jsonl:
+
+`llava_13b_answer.jsonl`
+
+`minigpt4_13b_answer.jsonl`
+
+`MMreact_answer.jsonl`
+
+`mPLUG_Owl_7b_answer.jsonl`
+
+`BLIP2_13b_answer.jsonl`
+
+`openflamingo_answer.jsonl`
+
+For each `answer/xxx.jsonl` it contains the following information:
+
+- `image`: Indicates the name of the picture
+- `question_id`: Indicate the question id number, there are 82 questions
+
+- `question`: Represents specific problem information
+- `answer`: Replie given by the model
+- `model_id`: The ID of the model the answer is generated by
+
+For example:
+
+```json
+{"image": "10.jpg", "question_id": 15, "question": "How many bedrooms are there in this floor plan?", "answer": "There are three bedrooms in this floor plan.", "model_id": "llava-13b"}
+```
+
+### cases
+
+This folder contains 50 evaluation pictures, where 21 from mini GPT-4, 13 from mm-react, 9 from blip-2, 3 from GPT-4 and 4 collected by us