five

infinite-dataset-hub/BikeFixQueries

收藏
Hugging Face2024-08-22 更新2025-04-12 收录
下载链接:
https://hf-mirror.com/datasets/infinite-dataset-hub/BikeFixQueries
下载链接
链接失效反馈
官方服务:
资源简介:
--- license: mit tags: - infinite-dataset-hub - synthetic --- # BikeFixQueries tags: classification, maintenance, troubleshooting _Note: This is an AI-generated dataset so its content may be inaccurate or false_ **Dataset Description:** The 'BikeFixQueries' dataset comprises textual queries submitted by users seeking assistance for various bicycle repair issues. The dataset is structured to facilitate machine learning tasks related to the classification of repair problems, identification of required maintenance, and troubleshooting steps. Each query is labeled with a unique identifier and a class label that categorizes the nature of the repair issue. The labels have been carefully chosen to reflect the common types of problems encountered with bicycles and avoid duplicating the keywords provided. **CSV Content Preview:** ```csv Id,Query,Label 1,"My bike chain keeps falling off",'Chain Maintenance' 2,"Why won't my bike pedals turn smoothly?",'Troubleshooting' 3,"There's a weird noise when I pedal, what's wrong?",'Noise Diagnosis' 4,"How to fix a flat tire with no tools?",'Repair' 5,"I can't brake properly, what should I do?",'Braking System' ``` **Source of the data:** The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'bicycle repair questions': - **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=bicycle+repair+questions&dataset=BikeFixQueries&tags=classification,+maintenance,+troubleshooting - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
提供机构:
infinite-dataset-hub
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作