datalicense

All datasets / jaybhagiya

jaybhagiya/FAST-assembly-labels

44 downloads in 30 days0 likesLast modified 26 Oct 2026View on Hugging Face
Unclear

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence
other, from the tagEvidence: README.md at 55b2ce0
Licence name on the card
cc-by-nc-4.0-and-fusion-360-gallery, link: LICENSE.mdEvidence: README.md at 55b2ce0
Licence files
LICENSE.md, detected as cc-by-nc-4.0Evidence: LICENSE.md at 55b2ce0
Declared sources
None listed in the card metadata
Access gated on Hugging Face
No
Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

@mastersthesis{bhagiya2026fast,
  author = {Bhagiya, Jaykumar},
  title  = {Feasibility Aware Assembly Sequence Planning using Graph Transformer},
  school = {Saarland University},
  year   = {2026}
}

@inproceedings{tian2024asap,
  author    = {Tian, Yunsheng and Willis, Karl D. D. and Al Omari, Bassel and Luo, Jieliang and Ma, Pingchuan and Li, Yichen and Javid, Farhad and Gu, Edward and Jacob, Joshua and Sueda, Shinjiro and Li, Hui and Chitta, Sachin and Matusik, Wojciech},
  title     = {{ASAP}: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility},
  booktitle = {2024 IEEE International Conference on Robotics and Automation (ICRA)},
  pages     = {4380--4386},
  year      = {2024},
  doi       = {10.1109/ICRA57147.2024.10611595}
}

@inproceedings{willis2022joinable,
  author    = {Willis, Karl D. D. and Jayaraman, Pradeep Kumar and Chu, Hang and Tian, Yunsheng and Li, Yifei and Grandi, Daniele and Sanghi, Aditya and Tran, Linh and Lambourne, Joseph G. and Solar-Lezama, Armando and Matusik, Wojciech},
  title     = {{JoinABLe}: Learning Bottom-up Assembly of Parametric {CAD} Joints},
  booktitle = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages     = {15828--15839},
  year      = {2022},
  doi       = {10.1109/CVPR52688.2022.01539}
}

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "jaybhagiya/FAST-assembly-labels" })
signal: "unclear"
stated_licence: "other"
sources: 0