Update README.md

README.md

@@ -78,11 +78,11 @@ This repo provids 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.
 
-* Pretraining Dataset: 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;
 
-* SFT Dataset [WIP]: We have identified some annotation errors and are currently re-cleaning the data. Once completed, we will partially open-source it.
+* MolParser-SFT [WIP]: Nearly 400k samples for fine-tuning stage. (We have identified some annotation errors and are currently re-cleaning the data. Once completed, we will partially open-source it.)
 
-* Validation Dataset: 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-20k Benchmark: 20k molecule structure images cropped from real patents or paper `test_simple_10k`（ordinary）subset and `test_markush_10k`（markush）subset;