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Download scripts/README.md from KeremTT/hemato: direct link, hf CLI and curl.
- Browser
- Download file 939 Bytes
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https://huggingface.co/datasets/KeremTT/hemato/resolve/main/scripts/README.md
- Command line
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hf download hf://datasets/KeremTT/hemato/scripts/README.md
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curl -L -o README.md https://huggingface.co/datasets/KeremTT/hemato/resolve/main/scripts/README.md
939 Bytes
HEMATO build pipeline
Run in order from one working directory (Python 3.11+, pip install datasets pyarrow pillow imagehash numpy requests):
| Step | Script | What it does |
|---|---|---|
| 1 | dl.sh |
Downloads the five sources (Hugging Face mirrors, Mendeley Data, NIH/NLM) into raw/ |
| 2 | build.py |
Harmonizes labels, makes stratified / patient-level splits (seed 42), writes dataset/ and manifest.csv |
| 3 | hqc.py basic then hqc.py apply --apply |
Decode check, SHA-256 and pHash duplicates (pixel-verified), split leakage, label conflicts |
| 4 | package.py |
Writes meta/ (manifest, stats) and ≤300 MB ZIP parts per subset (every part contains every class) |
| 5 | push_hf.py |
Pushes cls, all, malaria to the Hub as Parquet (HF_TOKEN in the environment) |
| 6 | evren_import.py |
Optional: imports the ZIP parts into an Evren dataset via its Platform API (EVREN_KEY in the environment) |