The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
3DTime: A Large Dataset of Multi-Annotated Multivariate Time-Series for 3D-printing Duration
3DTime is a paper dataset currently under review at the AAAI-26 conference, for the main technical track.
We could not find a way to anonymously publish the full 1.2 TB dataset, hence this smaller version.
Dataset content
The original dataset contains:
- 9,930 3D models, each sliced 4 times
- 39,720 annotated G-code files (compressed)
- 39,720 binary files
- A total of 12,442,224,222 G-code instructions
This smaller version contains:
- 100 3D models (~1% of the full dataset), each sliced 4 times
- 400 annotated G-code files (compressed)
- 400 binary files
- A total of 64,394,143 G-code instructions (~0.5% of the full dataset)
Data loader for PyTorch
Due to the peculiar data format of this dataset (each G-code file has a specific length, some being over several million instructions long), we provide a custom made data loader designed for PyTorch utilization, instead of the standard Hugging Face automatic loader.
The code can be found in the complementary material of the submission.
This repository contains all of the code required for the dataset generation, statistic analysis, and model trainings that were presented in the paper.
- Downloads last month
- 450