# Trending datasets on Hugging Face

**Use case:** 

The 100 datasets with the highest trending score on the Hugging Face Hub right now: repo id, author, license, 30-day downloads, likes, last modified date, whether the dataset is gated, and the Hub link.

## Input

```json
{
  "kind": "datasets",
  "search": "llama",
  "sort": "trendingScore",
  "max_records": 100,
  "max_tags": 40,
  "request_interval_ms": 500,
  "contact_email": "info@steelyardclinical.com"
}
```

## Output

```json
{
  "id": {
    "label": "Repo id",
    "format": "text"
  },
  "kind": {
    "label": "Kind",
    "format": "text"
  },
  "author": {
    "label": "Author",
    "format": "text"
  },
  "task": {
    "label": "Task",
    "format": "text"
  },
  "library": {
    "label": "Library",
    "format": "text"
  },
  "license": {
    "label": "License",
    "format": "text"
  },
  "downloads": {
    "label": "Downloads (30d)",
    "format": "number"
  },
  "likes": {
    "label": "Likes",
    "format": "number"
  },
  "last_modified": {
    "label": "Last modified",
    "format": "date"
  },
  "gated": {
    "label": "Gated",
    "format": "text"
  },
  "url": {
    "label": "Hub page",
    "format": "link"
  },
  "fetched_at": {
    "label": "Fetched",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Hugging Face models + datasets - search, metadata (Hub API)](https://apify.com/retrainmap/huggingface-models.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/retrainmap/huggingface-models.md) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/retrainmap/huggingface-models.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
