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@@ -95,12 +95,8 @@ This repo provides the training data and evaluation data for MolParser, proposed
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  MolParser-7M contains nearly 8 million paired image-SMILES data. It should be noted that the caption of image is our extended-SMILES format, which suggested in our paper.
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- Core Dataset:
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  * **MolParser-7M (Pretrain)**: More than 7.7M synthetic training data in `pretrain_synthetic_7M` subset;
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- The following dataset will be updated with a new version, stay tuned:
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  * **MolParser-SFT**: Nearly 400k samples for fine-tuning stage in `sft_real` subset. (We are organizing an OCSR competition based on MolParser-7M, so we have reserved part of the MolParser-SFT data for the competition. Stay tuned!)
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  * **MolParser-Val**: A small validation set carefully selected in-the-wild in `valid` subset. It can be used to quickly valid the model ability during the training process;
 
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  MolParser-7M contains nearly 8 million paired image-SMILES data. It should be noted that the caption of image is our extended-SMILES format, which suggested in our paper.
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  * **MolParser-7M (Pretrain)**: More than 7.7M synthetic training data in `pretrain_synthetic_7M` subset;
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  * **MolParser-SFT**: Nearly 400k samples for fine-tuning stage in `sft_real` subset. (We are organizing an OCSR competition based on MolParser-7M, so we have reserved part of the MolParser-SFT data for the competition. Stay tuned!)
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  * **MolParser-Val**: A small validation set carefully selected in-the-wild in `valid` subset. It can be used to quickly valid the model ability during the training process;