README.md

metadata

dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype: int64
    - name: label_text
      dtype: string
  splits:
    - name: train
      num_bytes: 1081305
      num_examples: 7443
    - name: validation
      num_bytes: 72570
      num_examples: 500
    - name: test
      num_bytes: 288457
      num_examples: 2000
  download_size: 862284
  dataset_size: 1442332
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
task_categories:
  - text-classification
language:
  - en
pretty_name: Czech Subjectivity Dataset - English translation
license: cc-by-nc-sa-4.0
size_categories:
  - 1K<n<10K

Czech Subjectivity Dataset - English translation

This is an English translation of the original Subj-CS dataset, created using the WMT 21 X-En model.

The translation was completed for use within the Czech-Bench evaluation framework. The script used for translation can be reviewed here.

Citation

Original dataset:

@article{pib2022czech,
    title={Czech Dataset for Cross-lingual Subjectivity Classification},
    author={Pavel Přibáň and Josef Steinberger},
    year={2022},
    eprint={2204.13915},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}

English translation:

@masterthesis{jirkovsky-thesis,
    author = {Jirkovský, Adam},
    title = {Benchmarking Techniques for Evaluation of Large Language Models},
    school = {Czech Technical University in Prague, Faculty of Electrical Engineering},
    year = 2024,
    URL = {https://dspace.cvut.cz/handle/10467/115227}
}