Datasets:

TechWolf
/

Skill-normalisation-ESCO-graded

license: cc-by-4.0
language: en
tags:
  - retrieval
  - skill-extraction
  - esco
  - graded-relevance
configs:
  - config_name: queries
    data_files:
      - split: validation
        path: queries/validation.parquet
      - split: test
        path: queries/test.parquet
  - config_name: corpus
    data_files:
      - split: corpus
        path: corpus/corpus.parquet
  - config_name: qrels
    data_files:
      - split: validation
        path: qrels/validation.parquet
      - split: test
        path: qrels/test.parquet

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.

Configs

config	rows	columns
`queries`	50	`_id` (query id), `text` (ESCO alt-label / surface term to normalise)
`corpus`	13,891	`_id` (ESCO skill URI), `title` (English preferred label), `text` (English description), `esco_version`
`qrels`	694,550	`query-id`, `corpus-id`, `score` (0-4)

Score scale

score	meaning
	0
1	28,438
2	312
3	58
4	74

Higher is more relevant. Every query has one row per ESCO v1.1.0 skill (13,891 rows per query).

Test split

A test split is now available (450 queries, 450 qrels rows).

Unlike the validation split, the test split is not yet fully graded (0-4). Its relevance labels are real but binary: score = 1 marks a genuinely relevant target (derived from the public non-graded ground truths), and every pair not listed is implicit grade 0. The fine-grained 0-4 graded annotations for the test split are withheld during the ongoing RecSys-HR challenge (see WorkRB website) and will be released afterwards. S

Attribution

This dataset uses the ESCO classification of the European Commission (ESCO v1.1.0, https://esco.ec.europa.eu), licensed under CC BY 4.0. The ESCO content has been extracted into a tabular subset (skill URI, English preferred label, English description); no semantic modifications were made. The European Commission is not responsible for any use of the data.

Source queries come from ESCO v1.1.0 skill-normalisation pairs (also CC BY 4.0). The judge labels themselves are released under CC BY 4.0.