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language:
- es
license: cc-by-2.5
task_categories:
- text-classification
tags:
- mteb
- clustering
- spanish
- wikinews
pretty_name: Spanish Wikinews Clustering
size_categories:
- n<1K
configs:
- config_name: s2s
data_files:
- split: test
path: s2s_test.jsonl.gz
- config_name: p2p
data_files:
- split: test
path: p2p_test.jsonl.gz
---
# SpanishWikinewsClustering
SpanishWikinewsClustering is a small, reproducible Spanish news clustering dataset for MTEB.
It has two configurations sharing exactly the same 800 source articles and eight thematic
labels: `s2s` evaluates titles; `p2p` evaluates each title followed by a cleaned lead.
## Dataset summary
| Configuration | Text | Rows | Labels | Split |
|---|---|---:|---:|---|
| `s2s` | Title | 800 | 8 | `test` |
| `p2p` | Title + cleaned lead (maximum 2,000 characters) | 800 | 8 | `test` |
The labels are Arte, cultura y entretenimiento; Ciencia y tecnología; Deportes;
Desastres y accidentes; Economía y Negocios; Judicial; Política; and Sociedad. Each has
exactly 100 rows. Files are flat JSONL with the fields `sentences` and `labels`, ready for
MTEB's current `AbsTaskClustering` implementation.
## Source, license, and attribution
The source is the Spanish Wikinews Wikimedia dump in the `20260801` dump directory. The
SHA-256 of `eswikinews-20260801-pages-articles.xml.bz2` is
`bfb32ff73532cfffecf5db13e3712409ad9134459ea1d1927a8f93429be87109`.
The source text is licensed under [CC BY 2.5](https://creativecommons.org/licenses/by/2.5/).
This dataset is a derived work. Please attribute the original content to **contributors to
Spanish Wikinews** and link to the [Wikimedia dump](https://dumps.wikimedia.org/eswikinews/).
The cleaning, filtering, and sampling described below are additional modifications.
## Construction and quality controls
The build pipeline uses the same snapshot's article, page, categorylinks, and linktarget
dumps. It keeps main-namespace non-redirect pages with exactly one thematic category after
transitive category-graph propagation. It excludes 549 multi-item pages containing “Noticias
breves”, removes exact and lexical near-duplicates (five-token-shingle Jaccard threshold
0.85), and samples without replacement with seed 42.
Author manual review was stratified by label (20 items × 8). In its last review round, 155 of
160 sampled items were marked `pass`; one ambiguous and four wrong-label cases were removed.
Those five selected items were replaced deterministically within their original labels, while
the 155 approved items were retained. Earlier review rounds produced 45 conservative global
title exclusions. LLM-assisted spot QA (Claude and Mistral, 16 items) was used only to surface
items for human inspection; it was not used as a source of labels.
This is **author manual review + LLM-assisted spot QA**, not independent human validation.
## Limitations
- The source is a small, historical, community-edited news corpus; it is not representative
of all Spanish varieties, contemporary news, or every topic.
- Labels derive from Wikinews category structure and are intentionally strict/mono-label.
- The dataset is intended for comparative embedding evaluation, not topic-classification
training or factual inference.
## Citation
```bibtex
@misc{henriquez2026spanishwikinewsclustering,
author = {Henríquez, Clemente},
title = {SpanishWikinewsClustering},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/ClementeH/SpanishWikinewsClustering}
}
```
## Reproducibility
The extraction and auditing pipeline is maintained in the ES-MTEB project:
`evaluations/wikinews/build_dataset.py`. The accompanying `report.json` records input hashes,
pool counts, filtering counts, parameters, and post-audit selected-item replacements.
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