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
---

# BroadcastConsumptionPatterns

tags: TVGenre, DemographicSegmentation, ConsumptionTrendAnalysis

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

**Dataset Description:**

The 'BroadcastConsumptionPatterns' dataset aims to provide insights into how different demographic segments consume television content across various genres. This dataset includes information on the viewing habits, preferred genres, and trend analysis over a specified period.

**CSV Content Preview:**

```
ViewingHour,Genre,AgeGroup,Gender,Region,DeviceType,ConsumptionTime,Duration,Label
"22:00","Drama","Adults","Male","North America","Smart TV","22:00","02:30","EveningDrama"
"19:00","News","Seniors","Female","Europe","Tablet","19:00","01:00","MorningNews"
"08:00","Sports","Teens","Male","Asia","Smartphone","08:00","01:30","MorningSports"
"07:00","Documentary","Adults","Female","South America","Smart TV","07:00","01:00","MorningDocumentary"
"14:00","Reality TV","Youth","Male","North America","Smart TV","14:00","01:00","AfternoonReality"
```

**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 'tv data':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=tv+data&dataset=BroadcastConsumptionPatterns&tags=TVGenre,+DemographicSegmentation,+ConsumptionTrendAnalysis
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
