license: apache-2.0
pretty_name: Trending repositories on Hugging Face
size_categories:
- n<1K
configs:
- config_name: models
data_files: models.csv
- config_name: datasets
data_files: datasets.csv
- config_name: spaces
data_files: spaces.csv
tags:
- croissant
Dataset Card for Dataset Name
Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: Sylvain Lesage
Dataset Summary
This dataset contains the 20 trending repositories of each type: models, datasets, and space, on Hugging Face, every day. Each type can be loaded from its own dataset config.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Not relevant.
Dataset Structure
Data Instances
The dataset contains three configurations:
models: the history of trending models on Hugging Face datasets: the history of trending datasets on Hugging Face spaces: the history of trending spaces on Hugging Face
Data Fields
- date (string): the date of the lookup to the trending repositories
- author (string): id of the repository owner. It can be null.
- id (string): id of the repository
- rank (int64): rank in the trending repositories of its kind (model, dataset, or space). Starts at 1.
- recent_likes (int64): number of likes received lately (last week)
- likes (int64): total number of likes
- month_downloads (int64): number of downloads in the last month. Null for the spaces.
Data Splits
Each configuration only has one split: train that contains all the rows.
Dataset Creation
Curation Rationale
The dataset is updated daily through a cron job that calls the https://huggingface.co/api/trending?type=${repoType}&limit=20 endpoint for each repository type (model, dataset, space). The script runs in an Observable notebook, and the files are uploaded using the huggingface.js library.
Source Data
Initial Data Collection and Normalization
Not relevant.
Who are the source language producers?
Not relevant.
Annotations
Annotation process
Not relevant.
Who are the annotators?
Not relevant.
Personal and Sensitive Information
Only public repositories are included in the trending repositories.
Considerations for Using the Data
Social Impact of Dataset
Not relevant.
Discussion of Biases
The trending repositories reflect the likes given by Hugging Face users in the last week. Any bias that applies to the users can be reflected in this dataset. As a vanity metric, some users might also be tempted to generate fake likes.
Other Known Limitations
Not relevant.
Additional Information
Dataset Curators
Sylvain Lesage, Hugging Face
Licensing Information
Apache License 2.0
Citation Information
Not relevant.
Contributions
Not relevant.