Update README.md

README.md

@@ -94,13 +94,13 @@ This repo provides the training data and evaluation data for MolParser, proposed
 
 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.
 
-* MolParser-Pretrain: More than 7.7M synthetic training data in `pretrain_synthetic_7M` subset;
+* **MolParser-Pretrain**: More than 7.7M synthetic training data in `pretrain_synthetic_7M` subset;
 
-* MolParser-SFT [WIP]: 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!)
+* **MolParser-SFT [WIP]**: 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!)
 
-* 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;
+* **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;
 
-* WildMol Benchmark: 20k molecule structure images cropped from real patents or paper, `test_simple_10k`（WildMol-10k）subset and `test_markush_10k`（WildMol-10k-M）subset;
+* **WildMol Benchmark**: 20k molecule structure images cropped from real patents or paper, `test_simple_10k`（WildMol-10k）subset and `test_markush_10k`（WildMol-10k-M）subset;
 
 As the paper is still **under review**, this data is provided **anonymously**. More information will be provided after the paper has been accepted.