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
---

# BillboardChartAnalyzer

tags: Music Industry, Trend Analysis, Time Series

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

**Dataset Description:**

The 'BillboardChartAnalyzer' dataset aims to provide insights into the music business by tracking the performance of songs on the Billboard charts over time. The dataset focuses on the trend analysis aspect, capturing how various factors such as genre, artist popularity, and release date influence a song's ranking on the charts. Each row represents a single song's weekly chart performance, with a label indicating the main theme of the song.

**CSV Content Preview:**

```csv
week_start_date,artist_name,song_title,genre,chart_position,peak_position,label
2023-01-01,The Echoes,Sunset Melody,Pop,3,1,Eternal Vibes
2023-01-08,Rap Power,Thunderous Beats,Hip-Hop,5,2,Rhythm Revolution
2023-01-15,Forever Young,Classic Hits,Rock,2,1,Timeless Tunes
2023-01-22,Melody Dreams,Guitar Strings,Alternative,4,4,String Theory
2023-01-29,Dance Anthems,Move with Us,EDM,1,1,Urban Pulse
```

**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 'Music Business':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=Music+Business&dataset=BillboardChartAnalyzer&tags=Music+Industry,+Trend+Analysis,+Time+Series
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
