---
license: mit
---
# Multilingual e-SNLI (MLe-SNLI)

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). 

## Dataset details



## Download Instructions
To access MLe-SNLI, you can use the HuggingFace Datasets API to load the dataset:

```python
from datasets import load_dataset

mle_snli = load_dataset("rish16/MLe-SNLI") # loads a DatasetDict object
train_data = mle_snli['train'] # 500K samples (100K per lang)
dev_data = mle_snli['dev'] # 49120 samples (9824 per lang)
test_data = mle_snli['test'] # 49120 samples (9824 per lang)


print (mle_snli)
"""

"""
```