| --- |
| dataset_info: |
| - config_name: pretrain_synthetic_7M |
| features: |
| - name: image |
| dtype: image |
| - name: SMILES |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 115375911760.028 |
| num_examples: 7720468 |
| download_size: 122046202421 |
| dataset_size: 115375911760.028 |
| - config_name: test_markush_10k |
| features: |
| - name: image |
| dtype: image |
| - name: SMILES |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 228019568 |
| num_examples: 10000 |
| download_size: 233407872 |
| dataset_size: 228019568 |
| - config_name: test_simple_10k |
| features: |
| - name: image |
| dtype: image |
| - name: SMILES |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 291640094 |
| num_examples: 10000 |
| download_size: 292074581 |
| dataset_size: 291640094 |
| - config_name: valid |
| features: |
| - name: image |
| dtype: image |
| - name: SMILES |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 13538058 |
| num_examples: 403 |
| download_size: 13451383 |
| dataset_size: 13538058 |
| configs: |
| - config_name: pretrain_synthetic_7M |
| data_files: |
| - split: train |
| path: pretrain_synthetic_7M/train-* |
| - config_name: valid |
| data_files: |
| - split: train |
| path: valid/train-* |
| - config_name: test_simple_10k |
| data_files: |
| - split: train |
| path: test_simple_10k/train-* |
| - config_name: test_markush_10k |
| data_files: |
| - split: train |
| path: test_markush_10k/train-* |
| license: mit |
| tags: |
| - chemistry |
| --- |
| |
| # MolParser-7M |
|
|
| **Anonymous Open Source now** |
|
|
| This repo provids the training data and evaluation data for MolParser, proposed in paper *“MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild“* |
|
|
| 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; |
|
|
| * 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; |
|
|
| As the paper is still **under review**, this data is provided **anonymously**. More information will be provided after the paper has been accepted. |
|
|
| [**Anonymous Demo: Click Here**](http://180.184.38.121:50008/) |
