{
 "id": "federetyk/MELO-Benchmark",
 "owner": "federetyk",
 "name": "MELO-Benchmark",
 "downloads": 151,
 "likes": 0,
 "last_modified": "2026-01-04T22:35:15.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-retrieval",
  "sentence-similarity"
 ],
 "citation": "@inproceedings{retyk2024melo,\n  title        = {{MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations}},\n  author       = {Federico Retyk and Luis Gasco and Casimiro Pio Carrino and Daniel Deniz and Rabih Zbib},\n  booktitle    = {Proceedings of the 4th Workshop on Recommender Systems for Human Resources\n                  (RecSys in {HR} 2024), in conjunction with the 18th {ACM} Conference on\n                  Recommender Systems},\n  year         = {2024},\n  url          = {https://recsyshr.aau.dk/wp-content/uploads/2024/10/RecSysHR2024-paper_2.pdf},\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "01004cb50fe1fa61e5f08c30fe76289cd086d566",
 "stated_evidence": "https://huggingface.co/datasets/federetyk/MELO-Benchmark/blob/01004cb50fe1fa61e5f08c30fe76289cd086d566/README.md",
 "file_evidence": "https://huggingface.co/datasets/federetyk/MELO-Benchmark/tree/01004cb50fe1fa61e5f08c30fe76289cd086d566",
 "card_nc": false
}