---
language:
- cs
license: cc
pretty_name: Czech grammar agreement dataset
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
- config_name: few-shot-split
  data_files:
  - split: train
    path: few-shot-split/train-*
  - split: test
    path: few-shot-split/test-*
dataset_info:
- config_name: default
  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
- config_name: few-shot-split
  features:
  - name: sentence
    dtype: string
  - name: choices
    sequence: string
  - name: answer_idx
    dtype: int64
  splits:
  - name: train
    num_bytes: 2886
    num_examples: 20
  - name: test
    num_bytes: 89055
    num_examples: 607
  download_size: 55565
  dataset_size: 91941
---
# 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. Please respect the licensing and usage restrictions of the original dataset.

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/",
}
```