Czech Grammar Agreement Dataset for Evaluation of Language Models
Please use the following text to cite this item or export to a predefined format:
Baisa, Vít, 2016,
Czech Grammar Agreement Dataset for Evaluation of Language Models, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL),
http://hdl.handle.net/11234/1-1933.
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Date issued
2016-12-02
Size
10000000 sentences
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Description
AGREE is a dataset and task for evaluation of language models based on grammar agreement in Czech. The dataset consists of sentences with marked suffixes of past tense verbs. The task is to choose the right verb suffix which depends on gender, number and animacy of subject. It is challenging for language models because 1) Czech is morphologically rich, 2) it has relatively free word order, 3) high out-of-vocabulary (OOV) ratio, 4) predicate and subject can be far from each other, 5) subjects can be unexpressed and 6) various semantic rules may apply. The task provides a straightforward and easily reproducible way of evaluating language models on a morphologically rich language.
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- Name
- agree.data.tar.gz
- Size
- 373 MB
- Format
- application/x-gzip
- Description
- Dataset
- MD5
- 1d7b922e1a87a5b9a98e688ac9829fdb

- agree.data
- agree.train839 MB
- agree.eval85 kB
- agree.eval.expanded.char.lower.txt2 MB
- agree.valid.q8 MB
- agree.eval.q85 kB
- agree.valid8 MB

