botbotrobotics/chemistry-ptbr

--- license: cc-by-nc-4.0 language: - pt tags: - instruction-finetuning pretty_name: CAMEL Chemistry PTBR task_categories: - text-generation --- ## Tradução do Camel Chemisty 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 Chemistry dataset is composed of 20K problem-solution pairs obtained using gpt-4. The dataset problem-solutions pairs generating from 25 chemistry topics, 25 subtopics for each topic and 32 problems for each "topic,subtopic" pairs. We provide the data in `chemistry.zip`. ## Data Fields **The data fields for files in `chemistry.zip` are as follows:** * `role_1`: assistant role * `topic`: chemistry topic * `sub_topic`: chemistry 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/chemistry", repo_type="dataset", filename="chemistry.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 ---license: 知识共享署名-非商业性使用4.0国际许可协议（CC-BY-NC-4.0） language: - 葡萄牙语（pt） tags: - 指令微调（instruction-finetuning） pretty_name: CAMEL Chemistry PTBR task_categories: - 文本生成（text-generation） --- ## 使用NLLB 3.3b将CAMEL Chemistry数据集翻译为巴西葡萄牙语（PT-BR） # **CAMEL：面向大语言模型（Large Language Model）社群“心智”探索的交互型AI智能体（Communicative Agents）** - **GitHub：** https://github.com/lightaime/camel - **官方网站：** https://www.camel-ai.org/ - **ArXiv论文：** https://arxiv.org/abs/2303.17760 ## 数据集概述 本化学数据集包含20000条由GPT-4生成的问题-解决方案对。该数据集的问题-解决方案对源自25个化学主题，每个主题下设25个子主题，且每一组“主题-子主题”对应32个问题。 我们已将数据打包至`chemistry.zip`文件中。 ## 数据字段 **`chemistry.zip`内文件的数据字段如下：** * `role_1`：助手角色（assistant role） * `topic`：化学主题 * `sub_topic`：隶属于该主题的化学子主题 * `message_1`：指代要求助手解决的问题 * `message_2`：指代助手提供的解决方案 ## Python 下载代码 from huggingface_hub import hf_hub_download hf_hub_download(repo_id="camel-ai/chemistry", repo_type="dataset", filename="chemistry.zip", local_dir="datasets/", local_dir_use_symlinks=False) ## 引用格式 @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 本数据集由GPT-4合成生成，可能包含错误信息，仅可用于科研目的。 --- license: 知识共享署名-非商业性使用4.0国际许可协议（CC-BY-NC-4.0） ---