| license: cc-by-nc-4.0 | |
| task_categories: | |
| - other | |
| language: | |
| - sk | |
| tags: | |
| - keyphrase-extraction | |
| size_categories: | |
| - 100K<n<1M | |
| # SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction | |
| This repository contains the SlovKE dataset, as presented in the paper [SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction](https://huggingface.co/papers/2603.15523). | |
| - **Code:** [https://github.com/NaiveNeuron/SlovKE](https://github.com/NaiveNeuron/SlovKE) | |
| ## Dataset Description | |
| SlovKE is a large-scale dataset for Slovak keyphrase extraction, consisting of 227,432 scientific abstracts with author-assigned keyphrases. The data was scraped and cleaned from the Slovak Central Register of Theses. It represents a significant resource for low-resource, morphologically rich language processing, representing a 25-fold increase over prior Slovak resources and approaching the scale of established English benchmarks like KP20K. | |
| The dataset is designed to benchmark both unsupervised baselines (such as YAKE, TextRank, and KeyBERT) and LLM-based extraction methods (like KeyLLM). It highlights the challenges of morphological mismatch in inflected languages where surface forms in the text must be matched to canonical author-assigned keyphrases. |