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01satpalsr /hallucinations-dpotext1K<n<10K5 likes905 downloads3y agoHugging Face02aporia-ai /rag_hallucinationsProvides examples of hallucinated responses for RAG applications. textquestion-answering1K<n<10K9 likes453 downloads2y agoHugging Face03dzur658 /grounded-vs-fabricated-hallucinations Grounded vs. Fabricated Hallucinations This dataset consists of hallucinated and grounded answers to the first 3000 rows of TriviaQA rc.nocontext validation split. Methodology The dataset consists of a training, evaluation, and test split. Truthful and hallucinated answers overlap in the same window, so for every truthful answer there is at least one corresponding hallucinated answer. Hallucinated answers are not organic but rather directly prompted for via gaslighting in… See the full description on the dataset page: https://huggingface.co/datasets/dzur658/grounded-vs-fabricated-hallucinations.text1K<n<10K0 likes34 downloads6mo agoHugging Face04Ali-Bhai /toolace-ragtruth-style-hallucinations ToolACE RAGTruth-style Tool Hallucination Dataset This dataset was built from ToolACE tool-use dialogues and converted into a RAGTruth-style format for hallucination detection in tool calling. Task Given: query: user query context: tool response output: final assistant answer the goal is to classify whether the answer is grounded in the tool output or belongs to one of three hallucination types. Labels clean tool_output_conflict overgeneration… See the full description on the dataset page: https://huggingface.co/datasets/Ali-Bhai/toolace-ragtruth-style-hallucinations.tabulartext-classification1K<n<10K1 likes27 downloads4mo agoHugging Face05drond0174 /RAGTruth-Hallucinations ToolACE ToolACE is an automatic agentic pipeline designed to generate Accurate, Complex, and divErse tool-learning data. ToolACE leverages a novel self-evolution synthesis process to curate a comprehensive API pool of 26,507 diverse APIs. Dialogs are further generated through the interplay among multiple agents, guided by a formalized thinking process. To ensure data accuracy, we implement a dual-layer verification system combining rule-based and model-based checks. More details… See the full description on the dataset page: https://huggingface.co/datasets/drond0174/RAGTruth-Hallucinations.texttext-generation10K<n<100K0 likes10 downloads4mo agoHugging Face

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