Dataset · Hugging Face

TechWolf/Skill-normalisation-ESCO-graded

Name: Skill-normalisation-ESCO-graded
Creator: TechWolf
License: cc-by-4.0
Keywords: language:en, license:cc-by-4.0, size_categories:1M<n<10M, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, retrieval, skill-extraction, esco, graded-relevance

skill-normalisation-esco-graded Graded-relevance annotations for surface skill terms (ESCO alt-labels) from ESCO v1.1.0 skill-normalisation pairs against the ESCO v1.1.0 skill taxonomy. Layout follows the BEIR convention so it is drop-in for MTEB-style retrieval evaluators. This dataset was created for the RecSys-HR 2026 WorkRB challenge. Configs config split rows columns queries validation 50 _id (query id), text (ESCO alt-label / surface term to… See the full description on the dataset page: https://huggingface.co/datasets/TechWolf/Skill-normalisation-ESCO-graded.

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Author / organization	TechWolf
License (as declared)	cc-by-4.0
Downloads	190 (as reported by Hugging Face)
Likes	0
Created	2 June 2026
Last updated at source	11 August 2026

retrievalskill-extractionescograded-relevance

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