slvnwhrl/tenkgnad-clustering-p2p

---
license: cc-by-nc-sa-4.0
language:
- de
tags:
- embeddings
- clustering
- benchmark
size_categories:
- 10K<n<100K
---
This dataset can be used as a benchmark for clustering word embeddings for <b>German</b>.

The datasets contains news article titles and is based on the dataset of the [One Million Posts Corpus](https://ofai.github.io/million-post-corpus/) and [10kGNAD](https://github.com/tblock/10kGNAD). It contains 10'275 unique samples, 10 splits with 1'436 to 9'962 samples and 9 unique classes. Splits are built similarly to MTEB's [TwentyNewsgroupsClustering](https://huggingface.co/datasets/mteb/twentynewsgroups-clustering).

Have a look at German Text Embedding Clustering Benchmark ([Github](https://github.com/ClimSocAna/tecb-de), [Paper](https://arxiv.org/abs/2401.02709)) for more infos, datasets and evaluation results.

原始信息汇总

数据集概述

基本信息

• 许可证: cc-by-nc-sa-4.0
• 语言: 德语
• 标签: 嵌入, 聚类, 基准
• 规模: 10K<n<100K

数据集内容

• 用途: 作为德语单词嵌入聚类的基准
• 数据来源: 基于One Million Posts Corpus和10kGNAD
• 样本数量: 10,275个独特样本
• 分割方式: 10个分割，每个分割包含1,436至9,962个样本
• 类别数量: 9个独特类别

附加信息

• 更多信息、数据集和评估结果可参考German Text Embedding Clustering Benchmark和相关论文。