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  # Hematotoxicity Dataset (HematoxLong2023)
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- Initially, 2670 compounds were collected and all molecules were subjected to the multistep data preparation process to ensure data quality.
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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