metadata
task_categories:
- token-classification
language:
- en
tags:
- hallucination
- rag
pretty_name: RAGTruth++
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 provide two CSV-files.
One with hallucination spans, following the following format:
{
"start_pos": "<int>",
"end_pos": "<int>",
"span_text": "<str>",
"label": "<str>",
"reasoning": "<str>",
"stable_id": "<str>",
"message_stable_id": "<str>"
}
One with messages:
{
"stable_id": "<str>",
"meta": "<str>",
"role": "<user|assistant>",
"position": "<int>",
"text": "<str>",
"message_thread_stable_id": "<str>"
}
Use the message_stable_id-field to reference spans to messages.
Uses
Use the dataset for benchmarking hallucination detection models.