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@@ -23,7 +23,24 @@ This smaller version contains:
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  - 82 3D models (~0.08% of the full dataset), their corresponding sliced G-code, compressed annotated G-code, and binary vectorized files
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  - A total of 5,855,369 G-code instructions (~0.07% of the full dataset)
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- IMPORTANT NOTE: due to the peculiar data format, it is not possible to load the dataset using automatic croissant tools. Instead, use the code provided in the repository linked below.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Other links
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  - 82 3D models (~0.08% of the full dataset), their corresponding sliced G-code, compressed annotated G-code, and binary vectorized files
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  - A total of 5,855,369 G-code instructions (~0.07% of the full dataset)
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+ ## Croissant metadata file and automatic loading
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+ Due to the peculiar file format, it is not possible to automatically load the actual G-code instruction data using the automatic croissant loading techniques. Instead, use the code provided in the repository linked below.
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+ It is however still possible to load the G-code metadata using those tools:
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+ ```python
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+ from datasets import load_dataset
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+ dataset = load_dataset("3DTimeDataset/3DTime")
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+ ```
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+ Which will load the dataset G-code level data (such as file names, file sizes, slice time, print time, etc).
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+ IMPORTANT NOTE FOR REVIEWERS:
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+ For now, this metadata loading regards only this smaller version of the dataset (aka the loaded CSV contains 82 rows instead of 99,005). The full dataset, and its corresponding metadata, is still available via the dataset private link in the submission.
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+ We guarantee to make the full dataset public, and to change this metadata automatic loading to the full dataset, upon acceptance.
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  ## Other links
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