All datasets / TechWolf
TechWolf/skill-extraction-tech
The declared licence (cc-by-4.0) is classified as permissive.
- Declared licence
- cc-by-4.0, from the tagEvidence: README.md at 5f0cb05
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 5f0cb05
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
@inproceedings{decorte2022design,
articleno = {{4}},
author = {{Decorte, Jens-Joris and Van Hautte, Jeroen and Deleu, Johannes and Develder, Chris and Demeester, Thomas}},
booktitle = {{Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022)}},
editor = {{Kaya, Mesut and Bogers, Toine and Graus, David and Mesbah, Sepideh and Johnson, Chris and Gutiérrez, Francisco}},
isbn = {{9781450398565}},
issn = {{1613-0073}},
language = {{eng}},
location = {{Seatle, USA}},
pages = {{7}},
publisher = {{CEUR}},
title = {{Design of negative sampling strategies for distantly supervised skill extraction}},
url = {{https://ceur-ws.org/Vol-3218/RecSysHR2022-paper_4.pdf}},
volume = {{3218}},
year = {{2022}},
}
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": "TechWolf/skill-extraction-tech" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0