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README.md
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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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```
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