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license: apache-2.0 |
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# 📂 Dataset for "A Comparative Analysis of Static Word Embeddings for Hungarian" |
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This repository provides supporting data for the paper: |
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**_A Comparative Analysis of Static Word Embeddings for Hungarian_** by *Máté Gedeon*. |
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The paper can be found here: https://arxiv.org/abs/2505.07809 |
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The corresponding GitHub repository: https://github.com/gedeonmate/hungarian_static_embeddings |
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## 📄 Contents |
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This dataset includes: |
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- `train_sentences.txt`: The raw text corpus used to train **X2Static** embeddings derived from **huBERT** and **XLM-RoBERTa** (it contains one sentence in each line). |
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- `final_vocab.pkl`: The restricted vocabulary list used across all evaluated embedding models to ensure fair comparison. |
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## 🧪 Purpose |
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These resources were used to train and evaluate various static word embeddings in both intrinsic (e.g., word analogies) and extrinsic (e.g., POS tagging, NER) tasks for the Hungarian language. |
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They are intended to support reproducibility and further research into Hungarian NLP and embedding methodologies. |
