# Amazon Counterfactual Statements

This dataset is the *en-ext* split from [SetFit/amazon_counterfactual](https://huggingface.co/datasets/SetFit/amazon_counterfactual). As the original test set is rather small (1333 examples), a different split was created with 50-50 for training & testing.

The dataset is described in [amazon-multilingual-counterfactual-dataset](https://github.com/amazon-research/amazon-multilingual-counterfactual-dataset) / [Paper](https://arxiv.org/pdf/2104.06893.pdf)

It contains statements from Amazon reviews about events that did not or cannot take place.
arxiv:2104.06893 region:us
{}
TAGS
#arxiv-2104.06893 #region-us 

# Amazon Counterfactual Statements

This dataset is the *en-ext* split from SetFit/amazon_counterfactual. As the original test set is rather small (1333 examples), a different split was created with 50-50 for training & testing.

The dataset is described in amazon-multilingual-counterfactual-dataset / Paper

It contains statements from Amazon reviews about events that did not or cannot take place.
# Amazon Counterfactual Statements

This dataset is the *en-ext* split from SetFit/amazon_counterfactual. As the original test set is rather small (1333 examples), a different split was created with 50-50 for training & testing.

The dataset is described in amazon-multilingual-counterfactual-dataset / Paper

It contains statements from Amazon reviews about events that did not or cannot take place.
TAGS
#arxiv-2104.06893 #region-us 
 # Amazon Counterfactual Statements

This dataset is the *en-ext* split from SetFit/amazon_counterfactual. As the original test set is rather small (1333 examples), a different split was created with 50-50 for training & testing.

The dataset is described in amazon-multilingual-counterfactual-dataset / Paper

It contains statements from Amazon reviews about events that did not or cannot take place.
passage: TAGS
#arxiv-2104.06893 #region-us 
# Amazon Counterfactual Statements

This dataset is the *en-ext* split from SetFit/amazon_counterfactual. As the original test set is rather small (1333 examples), a different split was created with 50-50 for training & testing.

The dataset is described in amazon-multilingual-counterfactual-dataset / Paper

It contains statements from Amazon reviews about events that did not or cannot take place.