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ibm
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Wikipedia_contradict_benchmark

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Question Answering

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javiccano commited on Jul 4

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@@ -11,6 +11,8 @@ task_categories:
 <!-- Provide a quick summary of the dataset. -->  https://github.com/[username]/[reponame]/blob/[branch]/image.jpg?raw=true
 ![alt text](https://https://huggingface.co/datasets/ibm/Wikipedia_Contradict_Benchmark/tree/main/figs/Example.pdf?raw=true)
 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.

 <!-- Provide a quick summary of the dataset. -->  https://github.com/[username]/[reponame]/blob/[branch]/image.jpg?raw=true
+<img src="https://https://huggingface.co/datasets/ibm/Wikipedia_Contradict_Benchmark/tree/main/figs/Example.pdf">
 ![alt text](https://https://huggingface.co/datasets/ibm/Wikipedia_Contradict_Benchmark/tree/main/figs/Example.pdf?raw=true)
 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.