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Table · dataset · 2024

wandb/RAGTruth-processed

Listed in Hugging Face Datasets

RAGTruth Dataset Dataset Description Dataset

Description

Summary

The RAGTruth dataset is designed for evaluating hallucinations in text generation models, particularly in retrieval-augmented generation (RAG) contexts. It contains examples of model outputs along with expert annotations indicating whether the outputs contain hallucinations. Dataset Structure Each example contains: A query/question Context passages Model output Hallucination labels (evident… See the full description on the dataset page: huggingface.co/datasets/wandb/RAGTruth-processed.

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Catalogue records · 1

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Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetswandb/RAGTruth-processed12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0