|
--- |
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dataset_info: |
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- config_name: pretrain_synthetic_7M |
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features: |
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- name: image |
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dtype: image |
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- name: SMILES |
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dtype: string |
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splits: |
|
- name: train |
|
num_bytes: 115375911760.028 |
|
num_examples: 7720468 |
|
download_size: 122046202421 |
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dataset_size: 115375911760.028 |
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- config_name: test_markush_10k |
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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 |
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data_files: |
|
- split: train |
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path: pretrain_synthetic_7M/train-* |
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- config_name: valid |
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data_files: |
|
- split: train |
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path: valid/train-* |
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- config_name: test_simple_10k |
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data_files: |
|
- split: train |
|
path: test_simple_10k/train-* |
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- config_name: test_markush_10k |
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data_files: |
|
- split: train |
|
path: test_markush_10k/train-* |
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license: mit |
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tags: |
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- chemistry |
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--- |
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# MolParser-7M |
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**Anonymous Open Source now** |
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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“* |
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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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* Training Dataset: More than 7.7M training data in `pretrain_synthetic_7M` subset; |
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* 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; |
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* WildMol-20k: 20k molecule structure images cropped from real patents or paper `test_simple_10k`（ordinary）subset and `test_markush_10k`（markush）subset; |
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As the paper is still **under review**, this data is provided **anonymously**. More information will be provided after the paper has been accepted. |
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[**Anonymous Demo: Click Here**](http://101.126.35.171:50008/) |
