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README.md

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 # Skill Extraction with ESCO skills - TECH subset
+
+## Dataset Description
+
+- **Paper:** https://arxiv.org/abs/2209.05987
+- **Point of Contact:** [email protected]
+
+## Dataset Summary
+
+This dataset contains an extension of the `TECH` subset form the [SkillSpan](https://arxiv.org/abs/2204.12811) dataset, in which spans of skill mentions in sentences have been labeled with corresponding [ESCO](https://esco.ec.europa.eu/en/classification/skill_main) skills (ESCO v1.1.0).
+
+
+### Citation Information
+
+If you use this dataset, please include the following reference:
+
+```
+@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}},
+}
+```