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-extraction-tech-graded
Graded-relevance annotations for sentences from
TechWolf/skill-extraction-tech
against the ESCO v1.1.0 skill taxonomy. Layout follows the
BEIR convention.
The validation split carries full graded (0-4) relevance. A test split is also available with real but binary relevance; see the Test split section below.
Configs
| config | rows | columns |
|---|---|---|
queries |
75 | _id (sentence id), text (sentence) |
corpus |
13,891 | _id (ESCO skill URI), title (English preferred label), text (English description), esco_version |
qrels |
1,041,825 | query-id, corpus-id, score (0-4) |
Score scale
| score | volume | meaning |
|---|---|---|
| 0 | 1,018,085 | The skill is totally unrelated to the sentence. |
| 1 | 22,923 | The skill's domain is correct. It's a plausible skill in a broader context, but not mentioned in this sentence. |
| 2 | 339 | The skill could be recommended, but it's granularity makes it not core to the query. |
| 3 | 309 | The skill is strongly relevant for this query, although it is more implied than explicitly demonstrated. |
| 4 | 169 | The skill is explicitly demonstrated or requested by the query, and is therefor a clearly correct recommendation. |
Test split
A test split is now available (338 queries, 583 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.
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.