botbot-ai/biology-ptbr
收藏资源简介:
--- license: cc-by-nc-4.0 language: - pt tags: - instruction-finetuning pretty_name: CAMEL Biology PTBR task_categories: - text-generation --- ## Tradução do Camel Biology dataset para Portuguese (PT-BR) usando NLLB 3.3b. # **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 ---
数据集概述
数据集名称
CAMEL Biology PTBR
语言
葡萄牙语(PT-BR)
标签
- instruction-finetuning
任务类别
- text-generation
数据集简介
生物学数据集由20K个问题-解决方案对组成,这些对是通过使用gpt-4生成的。数据集的问题-解决方案对来自25个生物学主题,每个主题有25个子主题,每个“主题,子主题”对有32个问题。
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: 指助手被要求解决的问题message_2: 指助手提供的解决方案
数据下载
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
@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
该数据是使用GPT4合成生成的,可能包含不正确的信息。该数据集仅用于研究目的。



