|
--- |
|
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/", |
|
} |
|
``` |
|
|
|
|
|
|
