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cleaner showcase v1: static build, real sample report; gradio app kept for PRO upgrade
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Download README.md from ModelBrew/dataset-cleaner: direct link, hf CLI and curl.
- Browser
- Download file 632 Bytes
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https://huggingface.co/spaces/ModelBrew/dataset-cleaner/resolve/main/README.md
- Command line
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hf download hf://spaces/ModelBrew/dataset-cleaner/README.md
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curl -L -o README.md https://huggingface.co/spaces/ModelBrew/dataset-cleaner/resolve/main/README.md
632 Bytes
metadata
title: ModelBrew Dataset Cleaner
emoji: 🧹
colorFrom: yellow
colorTo: red
sdk: static
app_file: index.html
license: apache-2.0
short_description: 90+ quality checks for fine-tuning datasets
ModelBrew Dataset Cleaner
Upload a fine-tuning dataset (.jsonl, .json, .csv) and get a scored issue
report — PII with checksum validation, exact/near duplicates, prompt-injection
and jailbreak patterns, label errors, truncated responses, and more — plus a
cleaned export with critical rows dropped.
Run it locally on datasets of any size: pip install modelbrew-cleaner.
Built by ModelBrew.