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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.
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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
| 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](https://modelbrew.ai). | |