---
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`](https://esco.ec.europa.eu)
against the ESCO v1.1.0 skill taxonomy. Layout follows the
[BEIR](https://github.com/beir-cellar/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 | 665,668 |
| 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`](https://techwolf-ai.github.io/workrb-site/challenges/recsys-hr-2026.html)) 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](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.

Source queries come from
[`ESCO v1.1.0 skill-normalisation pairs`](https://esco.ec.europa.eu)
(also CC BY 4.0). The judge labels themselves are released under CC BY 4.0.