first commit

Author: lupantech

README.md

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 # ScienceQA: Science Question Answering
 
-![VQA](https://img.shields.io/badge/Task-VQA-orange) ![Science Problems](https://img.shields.io/badge/Task-Science Problems-orange) ![ScienceQA](https://img.shields.io/badge/Dataset-ScienceQA-blue) ![Chain-of-Thought](https://img.shields.io/badge/Model-Chain of Thought-red) ![GPT-3](https://img.shields.io/badge/Model-GPT3-red)  ![LLM](https://img.shields.io/badge/Model-LLM-red)
+![VQA](https://img.shields.io/badge/Task-VQA-orange) ![Science Problems](https://img.shields.io/badge/Task-Science_Problems-orange) ![ScienceQA](https://img.shields.io/badge/Dataset-ScienceQA-blue) ![Chain-of-Thought](https://img.shields.io/badge/Model-Chain_of_Thought-red) ![GPT-3](https://img.shields.io/badge/Model-GPT--3-red)  ![LLM](https://img.shields.io/badge/Model-LLM-red)
 
 Data and code for NeurIPS 2022 Paper "[Learn to Explain: Multimodal Reasoning via
 Thought Chains for Science Question Answering](http://lupantech.github.io/papers/neurips22_scienceqa.pdf)".
@@ -25,7 +25,7 @@ For more details, you can find our project page [here](https://scienceqa.github.
 
 ## Download the dataset
 
-The text part of the **ScienceQA** dataset is provided in [data/scienceqa/problems.json](https://github.com/lupantech/ScienceQA/data/scienceqa/problems.json). You can download the image data of ScienceQA by running:
+The text part of the **ScienceQA** dataset is provided in [data/scienceqa/problems.json](https://github.com/lupantech/ScienceQA/blob/main/data/scienceqa/problems.json). You can download the image data of ScienceQA by running:
 
 ```sh
 . tools/download.sh
@@ -62,7 +62,7 @@ pip install -r requirements.txt
 
 ### Generate the image captions
 
-We use the image captioning model to generate the text content for images in ScienceQA. The pre-generated image captions are provided in [data/captions.json](https://github.com/lupantech/ScienceQA/data/problems.json).
+We use the image captioning model to generate the text content for images in ScienceQA. The pre-generated image captions are provided in [data/captions.json](https://github.com/lupantech/ScienceQA/blob/main/data/captions.json).
 
 (Optionally) You can generate the image captions with user-specific arguments with the following command, which will save the caption data in `data/captions_user.json`.
 
@@ -138,6 +138,7 @@ This work is licensed under a [MIT License](http://creativecommons.org/licenses/
 The ScienceQA dataset is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/).
 
 
+
 ## Cite
 
 If the paper, codes, or the dataset inspire you, please cite us: