README.md

---
license: mit
configs:
- config_name: default
  data_files:
  - split: main
    path: "instances/*.json"
---
# DEVAI dataset
<p align="center" width="100%">
<img src="dataset_stats.png" align="center" width="70%"/>
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**DEVAI** is a benchmark of 55 realistic AI development tasks. It consists of plentiful manual annotations, including a total of 365 hierarchical user requirements. 
This dataset enables rich reinforcement signals for better automated AI software development. 

Here is an example of our tasks.
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<img src="task51.png" align="center" width="60%"/>
</p>

We apply three state-of-the-art automatic software development systems to DEVAI, namely MetaGPT, GPT-Piolt, and OpenHands. The table below shows preliminary statistics results.
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<img src="developer_stats.png" align="center" width="60%"/>
</p>

We perform a manual evaluation to judge if each requirement is satisfied by the solution provided by the aforementioned systems.
<p align="center" width="100%">
<img src="human_evaluation.png" align="center" width="60%"/>
</p>

An automated evaluation program that could possibly replace manual evaluation can be found at our [Github realse](https://github.com/metauto-ai/Devai).
Find more details in our [paper]().

If you use DEVAI to test your development system, we suggest providing the system API keys of [Kaggle](https://www.kaggle.com/) and [Hugging Face](https://huggingface.co), as some DEVAI tasks require access to these platforms.