
## Dataset Description

This dataset provides easier accessibility to the original [MNLI dataset](https://huggingface.co/datasets/multi_nli).

We randomly choose 10% of the original `validation_matched` split and use it as the validation split.
The remaining 90% are used for the test split.
The train split remains unchanged.
task_categories:text-classification task_ids:text-scoring task_ids:semantic-similarity-scoring source_datasets:multi_nli region:us
{"source_datasets": ["multi_nli"], "task_categories": ["text-classification"], "task_ids": ["text-scoring", "semantic-similarity-scoring"]}
TAGS
#task_categories-text-classification #task_ids-text-scoring #task_ids-semantic-similarity-scoring #source_datasets-multi_nli #region-us 


## Dataset Description

This dataset provides easier accessibility to the original MNLI dataset.

We randomly choose 10% of the original 'validation_matched' split and use it as the validation split.
The remaining 90% are used for the test split.
The train split remains unchanged.
## Dataset Description

This dataset provides easier accessibility to the original MNLI dataset.

We randomly choose 10% of the original 'validation_matched' split and use it as the validation split.
The remaining 90% are used for the test split.
The train split remains unchanged.
TAGS
#task_categories-text-classification #task_ids-text-scoring #task_ids-semantic-similarity-scoring #source_datasets-multi_nli #region-us 
 ## Dataset Description

This dataset provides easier accessibility to the original MNLI dataset.

We randomly choose 10% of the original 'validation_matched' split and use it as the validation split.
The remaining 90% are used for the test split.
The train split remains unchanged.