Skill-extraction-TechWolf-graded

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

skill-extraction-techwolf-graded

Graded-relevance layout for sentences from TechWolf/skill-extraction-techwolf against the ESCO v1.1.0 skill taxonomy. Layout follows the BEIR convention. Only a test split is available for this dataset, and it carries real but binary relevance; see the Test split section below.

Configs

config	rows	columns
`queries`	324	`_id` (sentence id), `text` (sentence)
`corpus`	13,891	`_id` (ESCO skill URI), `title` (English preferred label), `text` (English description), `esco_version`
`qrels`	582	`query-id`, `corpus-id`, `score`

Test split

This repository contains a test split only (324 queries, 582 qrels rows); it has no 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 are withheld during the ongoing RecSys-HR challenge (see WorkRB website) and will be released afterwards.

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.