datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RAGTruth-processed
RAGTruth Dataset
Dataset Description
Dataset 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: https://huggingface.co/datasets/wandb/RAGTruth-processed.ragtruth-translated-hallucinations
RAGTruth Translated Hallucinations
Multilingual machine translation of
RAGTruth into 31 European languages,
preserving RAGTruth's word-level hallucination-span annotations. RAGTruth is a corpus of
LLM responses to retrieval-augmented generation (RAG) tasks in which humans marked the
exact spans that are hallucinated (unsupported by, or contradicting, the provided
context). Here both the RAG prompt and the response are translated into each target
language, and the annotated… See the full description on the dataset page: https://huggingface.co/datasets/alexandrainst/ragtruth-translated-hallucinations.RAGTruth_test
RAGTruth test set
Dataset
Test split of RAGTruth dataset by ParticleMedia available from https://github.com/ParticleMedia/RAGTruth/tree/main/dataset
The dataset was published in RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models
Preprocessing
We kept only the test split of the original dataset
Joined response and source info files
Created the response level hallucination labels as described in the paper using binary… See the full description on the dataset page: https://huggingface.co/datasets/flowaicom/RAGTruth_test.RAGTruth_Xtended
Dataset Card for Dataset Name
This dataset provides response token logits and hidden states, complementing the underlying RAGTruth dataset. It has been generated using https://github.com/jakobsnl/RAGTruth_Xtended.
Dataset Details
Dataset Description
This dataset is built upon RAGTruth (github.com/ParticleMedia/RAGTruth), which consists of character-level annotation of different types of hallucination for responses to a given set of LLM tasks.
Out of all models… See the full description on the dataset page: https://huggingface.co/datasets/jakobsnel/RAGTruth_Xtended.toolace-tool-calling-hallucination-ragtruth
ToolACE-derived Tool-Calling Hallucination Dataset
This dataset was created for the course assignment Hallucination Detection in Tool Calling.
It is synthetic by design: starting from ToolACE-style tool-calling dialogues, we automatically inject three required hallucination types:
tool_contradiction
overgeneration
missing_tool
Each example follows a RAGTruth-like format:
query: user query
context: tool output
output: final model answer
hallucination_labels: span-level… See the full description on the dataset page: https://huggingface.co/datasets/marrita/toolace-tool-calling-hallucination-ragtruth.ragtruthRAGTruth-TR
RAGTruth-TR
newmindai/RAGTruth-TR is a Turkish-translated version of the wandb/RAGTruth-processed dataset.
It is designed for evaluating Retrieval-Augmented Generation (RAG) systems in Turkish, enabling research in hallucination detection, fact-checking, and response quality assessment.
Dataset Summary
Source Dataset: wandb/RAGTruth-processed
Target Language: Turkish
Purpose: Hallucination detection and RAG evaluation in Turkish NLP systems
License: MIT (inherits from… See the full description on the dataset page: https://huggingface.co/datasets/newmindai/RAGTruth-TR.eval_ragtruth-qa_SFT_gemma-4-E4B-it_S130104_epo3_89de_gens_T0_wfs0_s12345_mt512_nosftragtruth-qa_sftragtruth-qa_rm_organicragtruth-qa_perlragtruth-qa_processedragtruth-plus-plus
Dataset Card for RAGTruth++
This dataset is a re-annotation of a subset of the RAGTruth-benchmark that can be used to evaluate hallucination detection models.
It contains 408 prompt-response-pairs and 865 spans that are marked as hallucinations.
A text span is marked as a hallucination when a generated output in the response is not supported by the data in the input prompt.
You can read more about the creation of the dataset on our blog.
Structure of the dataset
We… See the full description on the dataset page: https://huggingface.co/datasets/blue-guardrails/ragtruth-plus-plus.ragtruth-qa_final_test_seteval_ragtruth-qa_PERL_gemma-4-E4B-it_S130104_ace3_gens_T0_wfs0_s12345_mt512_sft1c9bb9ragtruth-qa-ko-alpaca
Dataset Card for Dataset Name
ragtruth-qa 데이터셋을 gpt-4o를 이용하여 한글로 번역 한 데이터셋.
ragtruth-qa-ko 데이터 셋을 alpaca 포맷으로 변환.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Language(s) (NLP): [한국어]
License: [미정]
Dataset Sources [optional]
Repository: [https://huggingface.co/datasets/flowaicom/formatted-ragtruth-qa]
Uses
Direct Use
[More Information Needed]
Out-of-Scope Use
[More… See the full description on the dataset page: https://huggingface.co/datasets/aiyets/ragtruth-qa-ko-alpaca.ragtruth-qa_autoraterragtruth-qa_rm_synthetic_structtoolace_ragtruth_synthetic
ToolACE RAGTruth style synthetic hallucination dataset
This repository contains a synthetic span annotated hallucination detection dataset for tool calling responses.
The data was derived from Team ACE ToolACE conversations. Only grounded instances with a user query, tool call, tool output, and final assistant answer were used.
Motivation
The dataset targets hallucination detection in tool augmented generation, where a final assistant response should be grounded in the… See the full description on the dataset page: https://huggingface.co/datasets/Ali-Bhai/toolace_ragtruth_synthetic.eval_ragtruth-qa_gemma-4-E4B-it_gens_T0_wfs0_s12345_mt512_nosftragtruth-qa-ko
Dataset Card for Dataset Name
ragtruth-qa 데이터셋을 gpt-4o를 이용하여 한글로 번역 한 데이터셋.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Language(s) (NLP): [한국어]
License: [미정]
Dataset Sources [optional]
Repository: [https://huggingface.co/datasets/flowaicom/formatted-ragtruth-qa]
Uses
Direct Use
[More Information Needed]
Out-of-Scope Use
[More Information Needed]
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/Yettiesoft/ragtruth-qa-ko.ragtruth-uncragtruth-de-translatedThe dataset is created from the RAGTruth dataset by translating it to German. We've used Gemma 3 27B for the translation.
The translation was done on a single A100 machine using VLLM as a server.
ragtruth-cn-translatedThe dataset is created from the RAGTruth dataset by translating it to Chinese. We've used Gemma 3 27B for the translation.
The translation was done on a single A100 machine using VLLM as a server.
ragtruth-pl-translatedThe dataset is created from the RAGTruth dataset by translating it to Polish. We've used Gemma 3 27B for the translation.
The translation was done on a single A100 machine using VLLM as a server.
RAGTruthPrefixestoolace-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.RAGTruthragtruth-fr-translatedThe dataset is created from the RAGTruth dataset by translating it to French. We've used Gemma 3 27B for the translation.
The translation was done on a single A100 machine using VLLM as a server.
ragtruth-hu-translatedThe dataset is created from the RAGTruth dataset by translating it to Hungarian. We've used Gemma 3 27B for the translation.
The translation was done on a single A100 machine using VLLM as a server.