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README.md
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- supervised-learning
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- regression
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size_categories:
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- n<
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---
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# 3DTime dataset: (sample of) A Large Dataset of Multivariate Time-Series for 3D-printing Duration
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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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- supervised-learning
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- regression
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size_categories:
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- 1M<n<10M
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---
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# 3DTime dataset: (sample of) A Large Dataset of Multivariate Time-Series for 3D-printing Duration
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| 19 |
This smaller version contains:
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| 20 |
|
| 21 |
- 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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| 22 |
+
- A total of 5,855,369 G-code instructions (~0.07% of the full dataset)
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