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Assemble a Hugging Face dataset corpus for topic review

Collect public dataset records from Hugging Face for a focused topic so an analyst can review licenses, languages, and update dates.

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Hugging Face Scraper — Models, Datasets & Spaces
Hugging Face Scraper — Models, Datasets & Spaceskhadinakbar/huggingface-all-in-one-scraper
Item type
Id
Author
Downloads
+7 fields
Text
Number
Boolean
List
Object

Input

Hugging Face URLs or text queries(required):squad
Entity type for text queries:datasets
Filter by language:en
Max results per target:20
Sort search results:modified
Include full README text:false
Response shape for AI agents:concise

Output fields

Item type
Id
Author
Downloads
Likes
Task categories
Language
Size categories
License
Last modified
Url

How it works

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The Hugging Face Scraper — Models, Datasets & Spaces Actor is ready to run with the inputs already set for "Assemble a Hugging Face dataset corpus for topic review". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Assemble a Hugging Face dataset corpus for topic review" task

The Hugging Face Scraper — Models, Datasets & Spaces Actor will start running based on the input automatically. You can also change all the input fields, like hugging face urls or text queries, entity type for text queries, and more, to match your specific use case.

Receive the "Assemble a Hugging Face dataset corpus for topic review" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as item type, id, author, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Assemble a Hugging Face dataset corpus for topic review" task via API.

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