Metadata-Version: 2.4
Name: aviary.lfrqa
Version: 0.19.0
Summary: LFRQA environment implemented with aviary
Author-email: FutureHouse technical staff <hello@futurehouse.org>
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python
Requires-Python: >=3.11
Description-Content-Type: text/markdown
Requires-Dist: aviary.litqa
Requires-Dist: fhaviary
Requires-Dist: fhlmi
Requires-Dist: paper-qa>=5.14.0
Requires-Dist: pydantic~=2.0

# aviary.lfrqa

An environment designed to utilize PaperQA for answering questions from the LFRQATaskDataset. Long-form RobustQA (LFRQA) is a human-annotated dataset introduced in the RAG-QA-Arena, featuring over 1400 questions from various categories, including science.

## Installation

To install the LFRQA environment, run:

```bash
pip install fhaviary[lfrqa]
```

## Usage

Refer to [this tutorial](https://github.com/Future-House/paper-qa/blob/main/docs/tutorials/running_on_lfrqa.md) for instructions on how to run the environment.

## References

[1] RAG-QA Arena (https://arxiv.org/pdf/2407.13998)
