README.md

metadata

license: apache-2.0

📂 Dataset for "A Comparative Analysis of Static Word Embeddings for Hungarian"

This repository provides supporting data for the paper:
A Comparative Analysis of Static Word Embeddings for Hungarian by Máté Gedeon.

The paper can be found here: https://arxiv.org/abs/2505.07809

The corresponding GitHub repository: https://github.com/gedeonmate/hungarian_static_embeddings

📄 Contents

This dataset includes:

• 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).
• final_vocab.pkl: The restricted vocabulary list used across all evaluated embedding models to ensure fair comparison.

🧪 Purpose

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.

They are intended to support reproducibility and further research into Hungarian NLP and embedding methodologies.