# 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>)


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.edisonscientific.com/aviary/packages/lfrqa.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.