Dataset · Hugging Face

mteb/amazon_counterfactual

Name: amazon_counterfactual
Creator: mteb
License: cc-by-4.0
Keywords: task_categories:text-classification, annotations_creators:human-annotated, multilinguality:multilingual, language:deu, language:eng, language:jpn, license:cc-by-4.0, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2104.06893

AmazonCounterfactualClassification An MTEB dataset Massive Text Embedding Benchmark A collection of Amazon customer reviews annotated for counterfactual detection pair classification. Task category t2c Domains Reviews, Written Reference https://arxiv.org/abs/2104.06893 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["AmazonCounterfactualClassification"])… See the full description on the dataset page: https://huggingface.co/datasets/mteb/amazon_counterfactual.

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Author / organization	mteb
License (as declared)	cc-by-4.0
Downloads	5.8K (as reported by Hugging Face)
Likes	4
Created	26 May 2022
Last updated at source	24 February 2026

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