zatumout/zipoop_32k1885_010

Zipoop teacher shards

Per-window overfitted "teacher" networks that compress 1,885 ENCODE signal tracks (GRCh38) over 32,768 bp windows. 89,438 windows, stored as one <chrom>.npz per chromosome (25 files, 128.4 GB). Decode them with the zipoop Python package (MIT; wheel distributed separately).

Layout

• <chrom>.npz: deflate zip with members <window>/<key>.npy (161 arrays per window), windows in genome order; window names are <chrom>_<start>_<end>.
• MANIFEST.tsv: chrom, windows, members, bytes, sha256 of each file.
• tracks.tsv: the 1,885 tracks (index, ENCODE accession, modality, assay, output type, replicates, experiment). index is the position along the last axis of every signal / valid array.

Usage

from zipoop import Dataset
with Dataset("path/to/this/folder") as ds:
    w = ds.load_window(ds.windows("chr21")[0])  # key, dna (L,), signal (L, 1885), valid (L, 1885)

Check integrity with zipoop verify path/to/this/folder.

License and attribution

This dataset is released under CC BY 4.0. You may use, copy, modify and redistribute it, including commercially and including for training or distilling models, provided you give credit:

Zipoop teacher shards, by zatumout (2026), derived from ENCODE data. Licensed under CC BY 4.0.

CC BY has no share-alike condition: models trained or distilled from these shards need not be released under any particular license.

The shards are derived from public ENCODE signal tracks. The ENCODE Consortium asks users of ENCODE data to cite the Consortium's most recent integrative publication, reference the ENCODE accession numbers (listed per track in the shard metadata and in the zipoop panel file) and acknowledge the ENCODE Consortium and the production laboratories (see https://www.encodeproject.org/help/citing-encode). Please do so as well. The zipoop Python package is MIT-licensed separately.