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README.md
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task_categories:
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- question-answering
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---
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# WikiContradict
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<!-- Provide a quick summary of the dataset. -->
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<!-- https://github.com/[username]/[reponame]/blob/[branch]/image.jpg?raw=true -->
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<img src="https://https://huggingface.co/datasets/ibm/Wikipedia_Contradict_Benchmark/blob/main/figs/Example.png">
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WikiContradict is a dataset consisting of 253 high-quality, human-annotated instances designed to assess LLM performance when augmented with retrieved passages containing real-world knowledge conflicts. The dataset was created intentionally with that task in mind, focusing on a benchmark consisting of high-quality, human-annotated instances.
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task_categories:
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- question-answering
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<style>
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H1{color:Blue !important;}
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H2{color:DarkOrange !important;}
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p{color:Black !important;}
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</style>
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# WikiContradict
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<!-- Provide a quick summary of the dataset. -->
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<p align="center">
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<img src="./figs/Example.png" width=70%/>
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</p>
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WikiContradict is a dataset consisting of 253 high-quality, human-annotated instances designed to assess LLM performance when augmented with retrieved passages containing real-world knowledge conflicts. The dataset was created intentionally with that task in mind, focusing on a benchmark consisting of high-quality, human-annotated instances.
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