---
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: answer_idx
    dtype: int64
  - name: choices
    sequence: string
  - name: sentence
    dtype: string
  splits:
  - name: test
    num_bytes: 91941
    num_examples: 627
  download_size: 52557
  dataset_size: 91941
license: cc
language:
- cs
pretty_name: Czech grammar agreement dataset
---
# Czech grammar agreement dataset (AGREE)

This is an adapted and filtered test subset from the original [Czech grammar agreement dataset](https://nlp.fi.muni.cz/~xbaisa/agree/), 
designed to evaluate Czech language competence in the subject-verb agreement problem.

The examples were transformed to accommodate a missing word selection task. 
Sentences containing more than one marked verb were discarded. 
In the remaining sentences, the marked verb was completely replaced with the "____" token. 
All five possible verb variants formed the list of available choices, and the index of the correct choice was stored as the label.
Preblamatic examples were identified by gradually selecting examples wrongly answered by Claude 3 Haiku, Claude 3 Sonet and GPT-4 Turbo. These 115 examples were then manually checked and 46 of them were identified as ambiguous and removed from the dataset. This led to a final count of 627 evaluation samples.

This dataset was created for use within the [Czech-Bench](https://gitlab.com/jirkoada/czech-bench) evaluation framework. 

## Citation

```bibtex
@PhdThesis{Baisa2016thesis,
  AUTHOR = "Baisa, Vít",
  TITLE = "Byte Level Language Models [online]",
  YEAR = "2016 [cit. 2024-08-28]",
  TYPE = "Disertační práce",
  SCHOOL = "Masarykova univerzita, Fakulta informatiky, Brno",
  NOTE = "SUPERVISOR : Karel Pala",
  URL = "https://is.muni.cz/th/en6ay/",
}
```