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
---

# SongPopularityPredictor

tags: Music Business, User Engagement, Predictive Analytics

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

**Dataset Description:**

The 'SongPopularityPredictor' dataset is designed for music industry stakeholders interested in predicting song popularity based on various features. It includes information extracted from user engagement metrics and predictive analytics models. Each row represents a song and its associated features that contribute to its potential popularity. The 'labels' column contains predicted popularity levels for songs based on the dataset's predictive model.

**CSV Content Preview:**

```csv
Title, Artist, Release Date, Genre, Lyrics, User Engagement Score, Labels
"Yesterday's Memories", "Echoes of Now", "2023-03-15", "Pop", "A melody of nostalgia, a song that lingers in the heart", 87.5, "High Popularity"
"Rhythmic Breaks", "DJ Beatwave", "2023-01-20", "Dance", "The pulse of the dancefloor, a beat to move to", 79.3, "Moderate Popularity"
"Strings in the Sky", "Harper & Tunes", "2023-04-10", "Indie Folk", "Strings that weave through the sky, a song for the soul", 65.1, "Low Popularity"
"Luminous Dreams", "Nova", "2023-02-25", "Electronic", "Luminous dreams, echoing through the night, a digital symphony", 82.7, "High Popularity"
"City Lights", "Skyline", "2023-05-13", "Rock", "City lights shining, an urban ballad that never ends", 73.4, "Moderate Popularity"
```

**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=SongPopularityPredictor&tags=Music+Business,+User+Engagement,+Predictive+Analytics
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
