Update README.md

README.md

@@ -78,12 +78,16 @@ 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.
 
-* Training Dataset: More than 7.7M training data in `pretrain_synthetic_7M` subset;
+* Pretraining Dataset: 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.
 
 * 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;
 
-* WildMol-20k: 20k molecule structure images cropped from real patents or paper `test_simple_10k`（ordinary）subset and `test_markush_10k`（markush）subset;
+* WildMol-20k Benchmark: 20k molecule structure images cropped from real patents or paper `test_simple_10k`（ordinary）subset and `test_markush_10k`（markush）subset;
 
 As the paper is still **under review**, this data is provided **anonymously**. More information will be provided after the paper has been accepted.
 
+In the future, we will continue to re-clean this dataset, open-source more data, update model checkpoints, refresh the benchmark results, and release the training code.
+
 [**Anonymous Demo: Click Here**](http://101.126.35.171:50008/)