Assistance in Creating an Appealing Music Recommendation Dataset
Introduction:
Welcome to our exciting new music recommendation project! We are thrilled to announce that we will be releasing a comprehensive dataset of Spotify playlists. In order to overcome the rate limits of the Spotify API, we are seeking your assistance to download some of these playlists.
To get started, you will need to register for API access on Spotify and obtain your application ID and secret. Don’t worry, we will guide you through the process. You will also need to install Spotipy, a Python client for the Spotify API.
Once you have completed these steps, reach out to us by contacting zygmunt at fastml.com. We will provide you with a curated list of playlists to download, along with the necessary code.
Please note that the API limit allows for 25,000 daily calls, allowing you to download approximately 8,000 to 10,000 playlists within just a few hours. If you require a larger portion, we are more than happy to accommodate your needs. Join us in this musical journey and help us create the ultimate music recommendation experience!
Full Article: Assistance in Creating an Appealing Music Recommendation Dataset
New Dataset for Music Recommendation from Spotify Playlists to be Released
We are excited to announce that we will soon be releasing a new dataset for music recommendation. This dataset consists of Spotify playlists, and it will help improve the accuracy and effectiveness of music recommendations for users. However, due to the rate limits imposed by the Spotify API, we require assistance from the community to help download these playlists.
How to Download Spotify Playlists for the Dataset
In order to contribute to this project, please follow the steps outlined below:
1. Register for API Access on Spotify:
To begin, go to the Spotify website and register for API access by visiting the Spotify Developer Dashboard. Make sure to keep a copy of your application ID and secret, as you will need them to proceed with the next steps.
2. Install Spotipy, a Spotify API Client:
Next, install Spotipy, which is a Python client for the Spotify API. Spotipy will allow you to interact with the API and download the playlists for the dataset. You can find the installation instructions for Spotipy on their official GitHub page.
Contributing to the Dataset
Once you have completed the steps above, please contact us at zygmunt at fastml.com to express your interest in contributing to the dataset. We will provide you with a list of playlists that need to be downloaded and the corresponding code to initiate the download process.
Understanding the API Limitations
It’s important to note that the Spotify API imposes a limit of 25,000 calls per day. This means that you can download approximately 8,000 to 10,000 playlists within a few hours using the API. If you wish to obtain a larger portion of the dataset, please let us know, as we can accommodate your request.
Conclusion
By releasing this new dataset for music recommendation, we aim to enhance the quality and accuracy of music recommendations on Spotify. However, due to the rate limits on the Spotify API, we require assistance from the community to download these playlists. Please follow the steps provided above to contribute to this project and help us create a better music recommendation system. Contact us at zygmunt at fastml.com to get started.
Summary: Assistance in Creating an Appealing Music Recommendation Dataset
We are excited to announce that we will soon be releasing a new dataset for music recommendation, consisting of Spotify playlists. However, we require your assistance in downloading some playlists due to rate limits on the Spotify API. To get started, you will need to register for API access on Spotify and obtain your application ID and secret. Additionally, you will need to install Spotipy, a Spotify API client in Python. Once you have completed these steps, please contact us to receive a list of playlists to download and the corresponding code. With an API limit of 25000 calls daily, you will be able to download approximately 8-10k playlists within a few hours. If you require a larger portion, that can be arranged as well. Don’t miss this opportunity to contribute to our groundbreaking music recommendation dataset!
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