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README.md
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license: cc-by-nc-4.0
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license: cc-by-nc-4.0
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language:
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- de
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tags:
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- embeddings
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- clustering
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- benchmark
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size_categories:
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- 10K<n<100K
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This dataset can be used as a benchmark for clustering word embeddings for <b>German</b>.
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The datasets contains book titles and is based on the dataset from the [GermEval 2019 Shared Task on Hierarchical Classification of Blurbs](https://www.inf.uni-hamburg.de/en/inst/ab/lt/resources/data/germeval-2019-hmc.html). It contains 18'084 unqiue samples, 28 splits with 177 to 16'425 samples and 4 to 93 unique classes. Splits are built similarly to [MTEB](https://github.com/embeddings-benchmark/mteb)'s [ArxivClusteringP2P](https://huggingface.co/datasets/mteb/arxiv-clustering-p2p).
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Have a look at [German Text Embedding Clustering Benchmark](https://github.com/ClimSocAna/tecb-de) for more infos, datasets and evaluation results.
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