# Dataset Card for "glue-rte"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
arxiv:2305.14877 region:us
{"dataset_info": {"features": [{"name": "sentence1", "dtype": "string"}, {"name": "sentence2", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "not_entailment"}}}}, {"name": "idx", "dtype": "int32"}], "splits": [{"name": "validation", "num_bytes": 90728, "num_examples": 277}], "download_size": 0, "dataset_size": 90728}}
TAGS
#arxiv-2305.14877 #region-us 

# Dataset Card for "glue-rte"

More Information needed

Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper 'Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis'. It differs from the actual benchmark dataset.
# Dataset Card for "glue-rte"

More Information needed

Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper 'Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis'. It differs from the actual benchmark dataset.
TAGS
#arxiv-2305.14877 #region-us 
 # Dataset Card for "glue-rte"

More Information needed

Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper 'Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis'. It differs from the actual benchmark dataset.
passage: TAGS
#arxiv-2305.14877 #region-us 
# Dataset Card for "glue-rte"

More Information needed

Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper 'Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis'. It differs from the actual benchmark dataset.