camel-ai/biology

---
license: cc-by-nc-4.0
language:
- en
tags:
- instruction-finetuning
pretty_name: CAMEL Biology
task_categories:
- text-generation
arxiv: 2303.17760
extra_gated_prompt: "By using this data, you acknowledge and agree to utilize it solely for research purposes, recognizing that the dataset may contain inaccuracies due to its artificial generation through ChatGPT."
extra_gated_fields:
Name: text
Email: text
I will adhere to the terms and conditions of this dataset: checkbox
---

# **CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society**
- **Github:** https://github.com/lightaime/camel
- **Website:** https://www.camel-ai.org/
- **Arxiv Paper:** https://arxiv.org/abs/2303.17760

## Dataset Summary

Biology dataset is composed of 20K problem-solution pairs obtained using gpt-4. The dataset problem-solutions pairs generating from 25 biology topics, 25 subtopics for each topic and 32 problems for each "topic,subtopic" pairs.

We provide the data in `biology.zip`.

## Data Fields

**The data fields for files in `biology.zip` are as follows:**

* `role_1`: assistant role
* `topic`: biology topic
* `sub_topic`: biology subtopic belonging to topic
* `message_1`: refers to the problem the assistant is asked to solve.
* `message_2`: refers to the solution provided by the assistant.

**Download in python**
```
from huggingface_hub import hf_hub_download
hf_hub_download(repo_id="camel-ai/biology", repo_type="dataset", filename="biology.zip",
local_dir="datasets/", local_dir_use_symlinks=False)
```

### Citation

```
@misc{li2023camel,
title={CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society},
author={Guohao Li and Hasan Abed Al Kader Hammoud and Hani Itani and Dmitrii Khizbullin and Bernard Ghanem},
year={2023},
eprint={2303.17760},
archivePrefix={arXiv},
primaryClass={cs.AI}
}
```

## Disclaimer:

This data was synthetically generated by GPT4 and might contain incorrect information. The dataset is there only for research purposes.

---
license: cc-by-nc-4.0
---

原始信息汇总

数据集概述

数据集名称

• 名称: CAMEL Biology
• 任务类别: 文本生成

数据集内容

• 组成: 20,000个问题-解决方案对
• 来源: 使用gpt-4生成
• 主题: 25个生物学主题，每个主题包含25个子主题，每个“主题-子主题”对包含32个问题

数据文件

• 文件: biology.zip
• 数据字段:
  • role_1: 助手角色
  • topic: 生物学主题
  • sub_topic: 属于主题的生物学子主题
  • message_1: 助手被要求解决的问题
  • message_2: 助手提供的解决方案

许可证

• 许可证: CC-BY-NC-4.0

下载方法

python from huggingface_hub import hf_hub_download hf_hub_download(repo_id="camel-ai/biology", repo_type="dataset", filename="biology.zip", local_dir="datasets/", local_dir_use_symlinks=False)

引用信息

@misc{li2023camel, title={CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society}, author={Guohao Li and Hasan Abed Al Kader Hammoud and Hani Itani and Dmitrii Khizbullin and Bernard Ghanem}, year={2023}, eprint={2303.17760}, archivePrefix={arXiv}, primaryClass={cs.AI} }

免责声明

• 数据集由GPT4合成生成，可能包含错误信息，仅供研究使用。