Hugging Face — Dataset library

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A public dataset catalog pairs task and language filters with compact repository rows.

Hugging Face — Dataset library — captured interface — Viewport capture · opening screen

Source capture · 2026-09-06Open full image ↗

Why this pattern works

Keep filters persistent while results expose tags and update metadata.

Design notes

Surface: A public dataset catalog pairs task and language filters with compact repository rows.
Navigation: Global platform header and a filter sidebar.
Layout: Narrow filters beside a wide searchable list.
Density: High
Color: White, gray and small multicolor badges
Type: Compact labels and repository titles.
Pattern: Keep filters persistent while results expose tags and update metadata.
States: Public browse state; no dataset opened or downloaded.
Don't: Adapt the layout to your own product and supported capabilities; write your own examples and keep important actions clearly labeled.

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What should the tool respect?

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Prompt text

# My project
[Describe the product, audience, and screen you want to improve]

Stack: Use the existing project stack
Task: Implement the interface and verify the result in the existing project.

## Tool guidance (Any AI tool)
Use available project tools to inspect, implement, and test. State any unavailable capabilities.

# Design reference: Hugging Face — Dataset library
Source: https://huggingface.co/datasets
Swipefile reference: https://swipefile.design/ref/ai-next-huggingface-datasets/
Captured: 2026-09-06. This is a dated reference, not a claim about the current live product.
Capture scope: one viewport. Do not infer unseen page sections or a complete user flow.

## Objective
Adapt the interaction and layout patterns below to my project. Use my own content and identity. Do not reproduce logos, proprietary copy, or brand assets.

## Reference notes
- surface: A public dataset catalog pairs task and language filters with compact repository rows.
- nav: Global platform header and a filter sidebar.
- layout: Narrow filters beside a wide searchable list.
- density: High
- color: White, gray and small multicolor badges
- typography: Compact labels and repository titles.
- pattern: Keep filters persistent while results expose tags and update metadata.
- states: Public browse state; no dataset opened or downloaded.
- dont: Adapt the layout to your own product and supported capabilities; write your own examples and keep important actions clearly labeled.

Useful for: Keep filters persistent while results expose tags and update metadata.

## Acceptance criteria
- Existing project conventions, design tokens, working functionality, and unrelated changes are preserved.
- Two or three reference principles clearly support the user's task; conflicts are resolved in favor of usability and the existing product.
- Reusable components and semantic HTML express the interface. Available licensed assets are used; important UI text is never rendered as a bitmap.
- Every visible control has a defined behavior. Loading, empty, error, success, disabled, and long-content states are specified where relevant. Demo data is clearly labeled.
- Navigation and content adapt at 375px, 768px, and 1440px without horizontal page overflow. Keyboard use, visible focus, labeled inputs, at least 44px touch targets, readable contrast, and reduced motion are supported.
- Verification distinguishes rendered behavior from proposals and identifies anything still requiring a backend or external service.

## Quality bar
Clear hierarchy, consistent spacing, restrained surfaces, and purposeful motion. Avoid decorative gradients, excessive cards, placeholder buttons, and invented metrics unless the project calls for them. Do not claim a feature is connected or tested without evidence.

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## Objective
Adapt the interaction and layout patterns below to my project. Use my own content and identity. Do not reproduce logos, proprietary copy, or brand assets.

Useful for: Keep filters persistent while results expose tags and update metadata.

Hugging Face — Dataset library

Make it your own

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