--- 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`](https://huggingface.co/datasets/TechWolf/skill-extraction-techwolf) against the ESCO v1.1.0 skill taxonomy. Layout follows the [BEIR](https://github.com/beir-cellar/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`](https://techwolf-ai.github.io/workrb-site/challenges/recsys-hr-2026.html)) and will be released afterwards. ## Attribution This dataset uses the ESCO classification of the European Commission (ESCO v1.1.0, ), licensed under [CC BY 4.0](https://creativecommons.org/licenses/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.