File size: 1,356 Bytes
957690c afaec19 957690c e52197d 957690c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 |
---
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](https://www.blueguardrails.com/en/blog/ragtruth-plus-plus-enhanced-hallucination-detection-benchmark).
## Structure of the dataset
We provide two CSV-files.
One with hallucination spans, following the following format:
```json
{
"start_pos": "<int>",
"end_pos": "<int>",
"span_text": "<str>",
"label": "<str>",
"reasoning": "<str>",
"stable_id": "<str>",
"message_stable_id": "<str>"
}
```
One with messages:
```json
{
"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.
## Dataset Card Contact
info@blueguardrails.com |