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The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider removing the loading script and relying on automated data support (you can use convert_to_parquet from the datasets library). If this is not possible, please open a discussion for direct help.

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general information

  • the purpose of this the repository is to create a dataset loading script for a milling related dataset
  • further information about the dataset are in https://data.mendeley.com/datasets/zpxs87bjt8/3
  • the dataset size is 10 Gigabit. hugging face doesn't allow uploading that amount of data. This rep contain a small section of the dataset (see data folder) only to prove the concept. loading script for the original dataset and the small dataset

how to load dataset

  • first download the dataset from https://data.mendeley.com/datasets/zpxs87bjt8/3
  • loading script (milling_LUH_data.py) should be at the same directory as data directory (the folder where all h5 files are)
  • load data as shown in notebook.ipynb
  • define train, test, validation splits in the loading script (milling_LUH_data.py)
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