Datasets:

3DTimeDataset
/

3DTime

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+  "conformsTo": "http://mlcommons.org/croissant/1.1",
+  "name": "3DTime",
+  "description": "\n\t\n\t\t\n\t\t3DTime dataset: (sample of) A Large Dataset of Multivariate Time-Series for 3D-printing Duration\n\t\n\nThis dataset is a small sample of the 3DTime dataset, for which the paper is currently under review for NeurIPS Datasets and Benchmarks 2026.\nThis smaller version contains:\n\n82 3D models (~0.08% of the full dataset), their corresponding sliced G-code, compressed annotated G-code, and binary vectorized files\nA total of 5,855,369 G-code instructions (~0.07% of the full dataset)\n\nIMPORTANT… See the full description on the dataset page: https://huggingface.co/datasets/3DTimeDataset/3DTime.",
+  "alternateName": [
+    "3DTimeDataset/3DTime",
+    "3DTime"
+  ],
+  "creator": {
+    "@type": "Person",
+    "name": "3DTime Dataset",
+    "url": "https://huggingface.co/3DTimeDataset"
+  },
+  "keywords": [
+    "English",
+    "mit",
+    "< 1K",
+    "csv",
+    "3D",
+    "Tabular",
+    "Text",
+    "Datasets",
+    "pandas",
+    "Polars",
+    "Croissant",
+    "print-duration",
+    "3D-printing",
+    "G-code",
+    "supervised-learning",
+    "regression",
+    "time-series"
+  ],
+  "license": "https://choosealicense.com/licenses/mit/",
+  "url": "https://huggingface.co/datasets/3DTimeDataset/3DTime",
+  "rai:dataLimitations": "This dataset is limited to a single printer (Voron 2.4) for the Klipper firmware.",
+  "rai:dataBiases": "This dataset does not contain any support instructions, as the detection of the need for support is a research field of its own.",
+  "rai:personalSensitiveInformation": "This dataset contains no personal or sensitive information.",
+  "rai:dataUseCases": "This dataset can be used to train and/or validate prediction models for G-code instructions. Validated use cases: print duration prediction and speed profiling prediction (see [paper], note that the paper in question is still under double-blind review). Not validated use cases: LLM fine tuning, G-code optimization.",
+  "rai:dataSocialImpact": "This dataset poses no societal impacts.",
+  "rai:hasSyntheticData": true,
+  "prov:wasDerivedFrom": [
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+        "@id": "https://doi.org/10.48550/arXiv.2407.04180"
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+      "sc:description": "Re-slicing of all 3D mesh from the Slice-100k dataset, and G-code annotation with 7 targets."
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+}