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--- |
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dataset_info: |
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features: |
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- name: SMILE |
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dtype: string |
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- name: SELFIE |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 351931924.06659317 |
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num_examples: 1273077 |
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- name: val |
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num_bytes: 21949894.491152223 |
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num_examples: 79564 |
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- name: test |
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num_bytes: 65951655.37470361 |
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num_examples: 238694 |
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download_size: 148629975 |
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dataset_size: 439833473.932449 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: val |
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path: data/val-* |
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- split: test |
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path: data/test-* |
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--- |
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# Dataset Card for Guacamol |
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Dataset from the [Guacamol](https://github.com/BenevolentAI/guacamol) benchmark ([paper](https://arxiv.org/abs/1811.09621)). |
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Dataset contains two columns, SMILE and SELFIE. Splits are identical to original splits, however, any SMILE that could not be converted to a SELFIE was dropped. Likewise, any SELFIE in the val/test splits that contained a token not found in the train split was dropped. |
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Can be used with [this tokenizer](https://huggingface.co/haydn-jones/GuacamolSELFIETokenizer). |
