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huggingface/datasets-tagging

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Datasets Tagging
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streamlit
tagging_app.py
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⚠️ This repo is now directly maintained in the Space repo at https://huggingface.co/spaces/huggingface/datasets-tagging ⚠️

You can clone it from there with git clone https://huggingface.co/spaces/huggingface/datasets-tagging.

You can open Pull requests & Discussions in the repo too: https://huggingface.co/spaces/huggingface/datasets-tagging/discussions.

🤗 Datasets Tagging

A Streamlit app to add structured tags to a dataset card. Available online here!

  1. pip install -r requirements.txt
  2. ./build_metadata_file.py will build an up-to-date metadata file from the datasets/ repo (clones it locally)
  3. streamlit run tagging_app.py

This will give you a localhost link you can click to open in your browser.

The app initialization on the first run takes a few minutes, subsequent runs are faster.

Make sure to hit the Done? Save to File! button in the right column when you're done tagging a config!

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A Streamlit app to add structured tags to a dataset card

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