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--- |
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language: |
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- cs |
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license: cc |
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pretty_name: Czech grammar agreement dataset |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: data/test-* |
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- config_name: few-shot-split |
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data_files: |
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- split: train |
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path: few-shot-split/train-* |
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- split: test |
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path: few-shot-split/test-* |
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dataset_info: |
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- config_name: default |
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features: |
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- name: answer_idx |
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dtype: int64 |
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- name: choices |
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sequence: string |
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- name: sentence |
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dtype: string |
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splits: |
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- name: test |
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num_bytes: 91941 |
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num_examples: 627 |
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download_size: 52557 |
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dataset_size: 91941 |
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- config_name: few-shot-split |
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features: |
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- name: sentence |
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dtype: string |
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- name: choices |
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sequence: string |
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- name: answer_idx |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 2886 |
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num_examples: 20 |
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- name: test |
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num_bytes: 89055 |
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num_examples: 607 |
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download_size: 55565 |
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dataset_size: 91941 |
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--- |
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# Czech grammar agreement dataset (AGREE) |
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This is an adapted and filtered test subset from the original [Czech grammar agreement dataset](https://nlp.fi.muni.cz/~xbaisa/agree/), |
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designed to evaluate Czech language competence in the subject-verb agreement problem. Please respect the licensing and usage restrictions of the original dataset. |
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The examples were transformed to accommodate a missing word selection task. |
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Sentences containing more than one marked verb were discarded. |
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In the remaining sentences, the marked verb was completely replaced with the "____" token. |
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All five possible verb variants formed the list of available choices, and the index of the correct choice was stored as the label. |
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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. |
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This dataset was created for use within the [Czech-Bench](https://gitlab.com/jirkoada/czech-bench) evaluation framework. |
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## Citation |
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```bibtex |
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@PhdThesis{Baisa2016thesis, |
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AUTHOR = "Baisa, Vít", |
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TITLE = "Byte Level Language Models [online]", |
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YEAR = "2016 [cit. 2024-08-28]", |
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TYPE = "Disertační práce", |
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SCHOOL = "Masarykova univerzita, Fakulta informatiky, Brno", |
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NOTE = "SUPERVISOR : Karel Pala", |
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URL = "https://is.muni.cz/th/en6ay/", |
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} |
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``` |
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