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Fixed multiple typos in README.md file #64

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Fixed multiple typos in README.md file #64

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a792cdb
Fixed typos in README.md file
Hunaid2000 Apr 17, 2024
b81ff31
Merge branch 'main' into main
Hunaid2000 Apr 22, 2024
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -93,13 +93,13 @@ Here are the pretrained weights on Stage 1 data only:
## Preparation
### Dataset
We provide the processed data for the model training.
For model pretraining, please download the following the training image-based data and organize them as:
For model pretraining, please download the following training image-based data and organize them as:

`->` means put the data in the local folder.
- [LLaVA Images](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain) -> `data/MGM-Pretrain/images`, `data/MGM-Finetune/llava/LLaVA-Pretrain/images`
- [ALLaVA Caption](https://github.com/FreedomIntelligence/ALLaVA) -> `data/MGM-Pretrain/ALLaVA-4V`

For model finetuning, please download the following the instruction data and organize them as:
For model finetuning, please download the following instruction data and organize them as:

`->` means put the data in the local folder.
- [COCO train2017](http://images.cocodataset.org/zips/train2017.zip) -> `data/MGM-Finetune/coco`
Expand All @@ -115,7 +115,7 @@ For model finetuning, please download the following the instruction data and org
- [DVQA](https://github.com/kushalkafle/DVQA_dataset) -> `data/MGM-Finetune/dvqa`
- [AI2D](https://allenai.org/data/diagrams) -> `data/MGM-Finetune/ai2d`

For model evaluation, please follow this [link](https://github.com/haotian-liu/LLaVA/blob/main/docs/Evaluation.md) for preparation. We use some extra benchmarks for evaluation. please download the following the training image-based data and organize them as:
For model evaluation, please follow this [link](https://github.com/haotian-liu/LLaVA/blob/main/docs/Evaluation.md) for preparation. We use some extra benchmarks for evaluation. Please download the following training image-based data and organize them as:

`->` means put the data in the local folder.
- [MMMU](https://mmmu-benchmark.github.io/) -> `data/MGM-Eval/MMMU`
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