license: mit
tags:
- infinite-dataset-hub
- synthetic
PedalCyclingText
tags: text classification, cycling, sensor data
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'PedalCyclingText' dataset is a curated collection of textual descriptions and reviews from cyclists focusing on their experiences with pedal-specific cycling gear. The dataset aims to assist machine learning practitioners in developing models for sentiment analysis and text classification related to cycling accessories, with an emphasis on pedal technology. Each entry is tagged with labels reflecting the sentiment (positive, neutral, negative) and the type of pedal-related content (e.g., comfort, performance, design).
CSV Content Preview:
Label,Text
Positive,The ergonomic design of the pedals on this bike provides a seamless riding experience, enhancing overall comfort.
Neutral,I have mixed feelings about the pedals. While they perform well, the installation process was more complicated than I expected.
Positive,These pedals have transformed my long rides; they're durable and maintain a comfortable grip.
Negative,Disappointed with the pedals - they wore out quickly and didn't offer much resistance, affecting my cycling rhythm.
Positive,The lightweight and responsive pedals on this bike make for an enjoyable and efficient ride.
Source of the data:
The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'pedał cycling text':
- Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=pedał+cycling+text&dataset=PedalCyclingText&tags=text+classification,+cycling,+sensor+data
- Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub