Datasets:
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README.md
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@@ -32,80 +32,90 @@ This dataset contains the 20 trending repositories of each type: models, dataset
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### Languages
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## Dataset Structure
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### Data Instances
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### Data Fields
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### Data Splits
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## Dataset Creation
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### Curation Rationale
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### Source Data
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#### Initial Data Collection and Normalization
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#### Who are the source language producers?
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### Annotations
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#### Annotation process
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#### Who are the annotators?
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### Personal and Sensitive Information
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## Considerations for Using the Data
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### Social Impact of Dataset
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### Discussion of Biases
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### Other Known Limitations
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## Additional Information
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### Dataset Curators
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### Licensing Information
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### Citation Information
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### Contributions
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### Languages
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Not relevant.
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## Dataset Structure
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### Data Instances
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The dataset contains three configurations:
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**models**: the history of trending models on Hugging Face
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**datasets**: the history of trending datasets on Hugging Face
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**spaces**: the history of trending spaces on Hugging Face
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### Data Fields
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- date (string): the date of the lookup to the trending repositories
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- author (string): id of the repository owner. It can be null.
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- id (string): id of the repository
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- rank (int64): rank in the trending repositories of its kind (model, dataset, or space). Starts at 1.
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- recent_likes (int64): number of likes received lately (last week)
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- likes (int64): total number of likes
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- month_downloads (int64): number of downloads in the last month
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### Data Splits
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Each configuration only has one split: `train` that contains all the rows.
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## Dataset Creation
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### Curation Rationale
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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](https://observablehq.com/@huggingface) notebook, and the files are uploaded using the [huggingface.js](https://github.com/huggingface/huggingface.js) library.
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### Source Data
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#### Initial Data Collection and Normalization
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Not relevant.
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#### Who are the source language producers?
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Not relevant.
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### Annotations
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#### Annotation process
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Not relevant.
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#### Who are the annotators?
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Not relevant.
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### Personal and Sensitive Information
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Only public repositories are included in the trending repositories.
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## Considerations for Using the Data
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### Social Impact of Dataset
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Not relevant.
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### Discussion of Biases
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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.
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### Other Known Limitations
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Not relevant.
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## Additional Information
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### Dataset Curators
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Sylvain Lesage, Hugging Face
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### Licensing Information
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Apache License 2.0
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### Citation Information
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Not relevant.
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### Contributions
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Not relevant.
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