File size: 2,199 Bytes
7f618c4 c5e0084 d39f4db 665f8ef fe71a76 665f8ef |
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 62 63 64 65 66 67 68 69 70 |
---
license: mit
task_categories:
- question-answering
language:
- en
size_categories:
- 1K<n<10K
viewer: false
---
## Dataset Summary
**RetrievalQA** is a short-form open-domain question answering (QA) dataset consisting of 1,271 questions covering new world and long-tail knowledge.
We ensure the knowledge necessary to answer the questions is absent from most LLMs. Therefore, LLMs must truthfully decide whether to retrieve to be able to answer the questions correctly.
RetrievalQA enables us to evaluate the effectiveness of **adaptive retrieval-augmented generation (RAG)** approaches, an aspect predominantly overlooked
in prior studies and recent RAG evaluation systems, which focus only on task performance, the relevance of retrieval context or the faithfulness of answers.
## Dataset Sources
- **Repository:** https://github.com/hyintell/RetrievalQA
- **Paper:** https://arxiv.org/abs/2402.16457
## Dataset Structure
Here is an example of a data instance:
```json
{
"data_source": "realtimeqa",
"question_id": "realtimeqa_20231013_1",
"question": "What percentage of couples are 'sleep divorced', according to new research?",
"ground_truth": ["15%"],
"context": [
{
"title": "Do We Sleep Longer When We Share a Bed?",
"text": "1.4% of respondents have started a sleep divorce, or sleeping separately from their partner, and maintained it in the past year. Adults who have ..."
}, ...
]
}
```
where:
- `data_source`: the origin dataset of the question comes from
- `question`: the question
- `ground_truth`: a list of possible answers
- `context`: a list of dictionaries of retrieved relevant evidence. Note that the `title` of the document might be empty.
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
```bibtex
@misc{zhang2024retrievalqa,
title={RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering},
author={Zihan Zhang and Meng Fang and Ling Chen},
year={2024},
eprint={2402.16457},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
|