# Czech Text Document Corpus v 2.0

arXiv: https://arxiv.org/abs/1710.02365 · HTML: https://mlsanity.com/paper/1710.02365/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Oct 2017.

## Built on by (most cited first, 4 of 4)

- [Comparison of Czech Transformers on Text Classification Tasks](https://mlsanity.com/paper/2107.10042/) (2021)
- [Some Like It Small: Czech Semantic Embedding Models for Industry Applications](https://mlsanity.com/paper/2311.13921/) (2023)
- [Unpacking Robustness in Inflectional Languages: Adversarial Evaluation and Mechanistic Insights](https://mlsanity.com/paper/2505.07856/) (2025)
- [A Dataset and Strong Baselines for Classification of Czech News Texts](https://mlsanity.com/paper/2307.10666/) (2023)

## Abstract (arXiv)

This paper introduces "Czech Text Document Corpus v 2.0", a collection of text documents for automatic document classification in Czech language. It is composed of the text documents provided by the Czech News Agency and is freely available for research purposes at http://ctdc.kiv.zcu.cz/. This corpus was created in order to facilitate a straightforward comparison of the document classification approaches on Czech data. It is particularly dedicated to evaluation of multi-label document classification approaches, because one document is usually labelled with more than one label. Besides the information about the document classes, the corpus is also annotated at the morphological layer. This paper further shows the results of selected state-of-the-art methods on this corpus to offer the possibility of an easy comparison with these approaches.