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  license: mit
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  license: mit
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+ Multilingual e-SNLI (MLe-SNLI)
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+ We provide the train, dev, and test sets. For more details, find our report [here](https://github.com/rish-16/cs4248-project/blob/main/CS4248_Group19_Final_Report.pdf).
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+ To access MLe-SNLI, you can use the HuggingFace Datasets API to load the dataset:
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+ ```python
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+ from datasets import load_dataset
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+ mle_snli = load_dataset("rish-16/MLe-SNLI") # loads a DatasetDict object
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+ train_data = mle_snli['train'] # 500K samples (100K per lang)
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+ dev_data = mle_snli['dev'] # 49120 samples (9824 per lang)
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+ test_data = mle_snli['test'] # 49120 samples (9824 per lang)
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+ print (train_data)
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+ """
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+ """
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+ ```