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---
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license: cc-by-sa-4.0
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---
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license: cc-by-sa-4.0
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task_categories:
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- text-classification
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task_ids:
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- natural-language-inference
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- multi-input-text-classification
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language:
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- kk
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- en
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tags:
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- parquet
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size_categories:
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- 100K<n<1M
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---
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# Description:
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This dataset is a machine-translated Kazakh version of the Stanford Natural Language Inference (SNLI) corpus. Each example includes both the original English premise–hypothesis pair and its corresponding Kazakh translation, along with the original NLI label (entailment, neutral, contradiction).
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It can be used for training or evaluating sentence embedding, entailment, or semantic similarity models in Kazakh.
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Dataset has about ~570k pairs
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## Citations
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Please cite the original SNLI paper:
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**SNLI (original dataset):**
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Bowman, S. R., Angeli, G., Potts, C., & Manning, C. D. (2015). *A large annotated corpus for learning natural language inference*. EMNLP 2015.
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```bibtex
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@inproceedings{bowman-etal-2015-large,
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title = {A large annotated corpus for learning natural language inference},
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author = {Bowman, Samuel R. and Angeli, Gabor and Potts, Christopher and Manning, Christopher D.},
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booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
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year = {2015}
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}
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```
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## License note
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The original **SNLI** corpus is released under **CC BY-SA 4.0**; derivative datasets (including translations) must retain **CC BY-SA 4.0** with attribution to the Stanford NLP Group.
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