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# Hematotoxicity Dataset (HematoxLong2023)
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Finally, a hematotoxicity dataset containing 1772 chemicals was obtained, which includes a positive set with 589 molecules and a negative set with 1183 molecules.
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The molecules were divided into a training set of 1330 molecules and a test set of 442 molecules according to their Murcko scaffolds.
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Additionally, 610 new molecules from related research and databases were compiled as the external validation set.
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## Quickstart Usage
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### Load a dataset in python
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# Hematotoxicity Dataset (HematoxLong2023)
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A hematotoxicity dataset containing 1772 chemicals was obtained, which includes a positive set with 589 molecules and a negative set with 1183 molecules.
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The molecules were divided into a training set of 1330 molecules and a test set of 442 molecules according to their Murcko scaffolds.
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Additionally, 610 new molecules from related research and databases were compiled as the external validation set.
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The train and test datasets uploaded to our Hugging Face repository have been sanitized and split from the original dataset, which contains 2382 molecules.
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If you would like to try these processes with the original dataset, please follow the instructions in the [Processing Script.py](https://huggingface.co/datasets/maomlab/HematoxLong2023/blob/main/Processing%20Script.py) file located in the HematoxLong2023 folder.
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## Quickstart Usage
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### Load a dataset in python
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