license:mit size_categories:n<1K format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# Stravacount

tags: user-engagement, activity-frequency, classification

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'Stravacount' dataset comprises textual data extracted from Strava user profiles, aiming to classify the nature of user engagement based on their activity frequency and associated behaviors. Each row represents a user profile's comment or post, which has been manually labeled with one of three categories: 'High Engagement', 'Moderate Engagement', or 'Low Engagement'. These labels reflect the user's activity level and interaction on the Strava platform.

**CSV Content Preview:**

```
username,activity_frequency,text_content,label
johndoe,daily,I'm always running at dawn and evening. #morningrunner #eveningjogger,High Engagement
janedoe,weekly,Just finished a 10k race. Feeling good! #runninggoal,Moderate Engagement
alexsmith,rarely,Occasionally go for a hike on weekends. #weekendhiker,Low Engagement
sarahjones,daily,Every day is a new adventure on the trails. #trailblazer,High Engagement
emmawilliams,monthly,I'm training for a marathon. Need all the support! #marathonprep,Moderate Engagement
```

**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 'strava dataset text classification':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=strava+dataset+text+classification&dataset=Stravacount&tags=user-engagement,+activity-frequency,+classification
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
