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In addition to the questions it has a second config with `documents` for retrieval. The dataset can be used by "indexing" the documents and then using the question and ground truth to evaluate your pipeline.
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The dataset is derived from [Question-Answer Dataset](https://www.kaggle.com/datasets/rtatman/questionanswer-dataset?resource=download) and slightly modified to [rag-datasets/mini_wikipedia](https://huggingface.co/datasets/rag-datasets/mini_wikipedia).
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# EasyRag eval dataset for Wikipedia
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[easyrag-mini-wikipedia](huggingface.co/datasets/philschmid/easyrag-mini-wikipedia) is a dataset to evaluate RAG pipelines. It consists out of ~900 question and ground truth answers from Wikipedia articles.
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In addition to the questions it has a second config with `documents` for retrieval. The dataset can be used by "indexing" the documents and then using the question and ground truth to evaluate your pipeline.
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The dataset is derived from [Question-Answer Dataset](https://www.kaggle.com/datasets/rtatman/questionanswer-dataset?resource=download) and slightly modified to [rag-datasets/mini_wikipedia](https://huggingface.co/datasets/rag-datasets/mini_wikipedia).
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