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

# VisitorBehaviorPatterns

tags: predictive, footfall, time-series

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

**Dataset Description:**

The 'VisitorBehaviorPatterns' dataset is a curated collection of data points extracted from museum visitor logs. This dataset aims to help museum administrators and ML practitioners understand and predict visitor behavior patterns through time-series analysis. It features a variety of features, including visitor counts, dwell times, and exhibit preferences, coupled with contextual information such as day of the week, weather conditions, and special events. The primary goal is to facilitate the development of predictive models that can forecast visitor footfall and enhance museum operational efficiency.

**CSV Content Preview:**

```csv
timestamp,dwell_time,exhibit_visited,visitor_count,weather_condition,special_event,label
2023-01-01T09:00:00Z,15,Ancient Egypt,120,Sunny,No,HighEngagement
2023-01-01T10:00:00Z,10,Renaissance Art,115,Sunny,No,ModerateEngagement
2023-01-01T11:00:00Z,20,Modern Sculpture,130,Cloudy,No,HighEngagement
2023-01-01T12:00:00Z,5,Interactive Exhibits,105,Sunny,No,LowEngagement
2023-01-01T13:00:00Z,25,Dinosaurs,125,Sunny,Yes,HighEngagement
```

**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 '':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=VisitorBehaviorPatterns&tags=predictive,+footfall,+time-series
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
