This is a tool for automatic evaluation of Czech sentence embeddings using Costra 1.1 dataset.
More information can be found in the following paper:
- Petra Barančíková and Ondřej Bojar: Costra 1.1: An Inquiry into Geometric Properties of Sentence Spaces. In: TSD 2020. Lecture Notes in Computer Science, vol 12284. Springer, Cham.
The presentation of the paper with the accompanying video can be found here.
$ pip install costra
- You can get sentences from Costra using the following command:
from costra import costra
sentences = costra.get_sentences()
- Use the sentences to generate your embeddings. The embeddings are evaluating the following way:
costra.evaluate(YOUR_EMBEDDINGS)
If you use the tool for academic purporses, please consider citing the following paper:
@inproceedings{Costra,
author = {Petra Baran{\v{\c}}{\'{\i}}kov{\'{a}} and Ond{\v{\r}}ej Bojar},
editor = {Petr Sojka and Ivan Kope{\v{\c}}ek and Karel Pala and Ales Hor{\'{a}}k},
title = {Costra 1.1: An Inquiry into Geometric Properties of Sentence Spaces},
booktitle = {Text, Speech, and Dialogue - 23rd International Conference, {TSD}
2020, Brno, Czech Republic, September 8-11, 2020, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {12284},
pages = {135--143},
publisher = {Springer},
year = {2020},
url = {https://doi.org/10.1007/978-3-030-58323-1\_14},
doi = {10.1007/978-3-030-58323-1\_14},
}
The data is distributed under the Creative Commons 4.0 BY.