SharpMeow/pherc1667-afv-fibers

PHerc1667 (Scroll 4) papyrus fibers (AFV V2)

Every papyrus fiber that Qual's AFV V2 model finds in the whole PHerc1667 scan, traced into curves with his AVF_SPLINE_GENERATOR: 645,762 fibers (577 m of fiber in all), 94,799 of them 1 mm or longer. Horizontal fibers run along the wraps; vertical fibers cross them. Same model, same recipe and the same .afv format as Qual's own published sets, run here on a scan he had not done.

Zoom on dense wraps: horizontal fibers (cyan) follow each sheet, vertical fibers (orange) cross the slice as short marks.	Every fiber in a 256-voxel cube, turning.
Sweeping through 60 slices of the zoom box.	A vertical section through the same place: here the vertical fibers show as long lines.

What is here

File	What	Size
PHerc1667_afv_v2_1mm.afv	fibers 1 mm and longer, the set most people want: 94,799 fibers, 26,474,754 points	0.86 GB
PHerc1667_afv_v2.afv	every traced fiber: 645,762 fibers, 38,321,512 points	1.53 GB
tiles/	one small .afv per 1024-voxel cell of the model's grid (88 cells with fibers); tiles/index.json gives each cell's level-0 box. Read a box without the whole file.	2.94 GB
stream/	the same fibers as 149 Parquet shards on a spatial grid, every fiber in exactly one, with stream/index.json: stream any box without the whole file (below)	0.45 GB
previews/	the pictures on this card and their views (index.json)
load_example.py	read the fibers in any box with Python's sqlite3 and NumPy
villa-check.jsonl	villa's own AFV reader run over every file here
stats.json	the counts on this card

	Fibers	Fiber length	Median	90th percentile	Longest
All, horizontal	262,276	279 m
All, vertical	383,486	298 m
All	645,762	577 m	0.28 mm	1.52 mm	255.3 mm
1 mm and longer, horizontal	39,534	206 m
1 mm and longer, vertical	55,265	198 m
1 mm and longer	94,799	404 m	2.19 mm	9.29 mm	255.3 mm

Get it

hf download SharpMeow/pherc1667-afv-fibers PHerc1667_afv_v2_1mm.afv --repo-type dataset --local-dir pherc1667-afv-fibers
python3 load_example.py pherc1667-afv-fibers/PHerc1667_afv_v2_1mm.afv        # or: X Y Z [HALF] in level-0 voxels

Or explore any box, see it over the CT and download just that box as .afv, on the AFV Fibers page.

Stream a box

Read just the fibers in one box, without downloading the whole file, with the Scrolls kit (pip install numpy pyarrow, then from a clone):

python -m kit fibers stream --scan PHerc1667 --box 5632 6656 5632 6656 5632 6656 --out box.afv

The box is Z0 Z1 Y0 Y1 X0 X1 in level-0 voxels. This one holds 461 fibers and read 8.4 MB of the 1.53 GB whole-scan file (measured 28 Oct 2026). The result is exactly what filtering PHerc1667_afv_v2.afv gives: the same fibers, and a byte-identical box.afv that villa's importer opens. Add --family H or V, or --min-len 1 for the 1 mm set. Every fiber as rows, streamed with the datasets library:

from datasets import load_dataset
ds = load_dataset("SharpMeow/pherc1667-afv-fibers", "stream", streaming=True, split="train")
for row in ds.take(3):
    print(row["id"], row["family"], row["length_mm"], len(row["points"]) // 3)

Each row is one fiber: its .afv columns, bounding box (bmin_x to bmax_z), blocks and points (flat x, y, z, float64). Before upload, every test box, a control box outside the scan (no fibers) and the whole scan were streamed back from here and matched the whole-scan file; the format and checks are on the tool page.

Open in VC3D

PYTHONPATH=build/python python3 vc_object_store/scripts/import_afv.py PHerc1667_afv_v2_1mm.afv pherc1667-fibers.vcobj \
    --volume-id 20251217075048

Then attach pherc1667-fibers.vcobj from VC3D's File → Object Store menu, with the 20251217075048-2.399um-0.2m-78keV-masked.zarr volume open (its catalog id must be 20251217075048; see the script's notes for a local cache). villa's import_afv.py takes native level-0 coordinates; every file here is in level-0 voxels of 20251217075048-2.399um-0.2m-78keV-masked.zarr with scale factor 1, and that script's own reader accepted every file before upload (villa-check.jsonl).

How it was made

• Scan: PHerc1667, 20251217075048-2.399um-0.2m-78keV-masked.zarr, Vesuvius Challenge open data. The model ran on level 2 (9.596 um voxels), and the files are rebased to level 0 (2.399 um voxels; every point times 4, exact in float64).
• Fiber maps: Qualzz20/afv_fiber_9um_v2 (nnU-Net, checkpoint sha256 b8519a4c...), Qual's recipe: 128-voxel windows at stride 64 on one global lattice, Gaussian blending, bf16, per-window normalization, no mirroring. 94 blocks of 1024 voxels on Hugging Face Jobs (RTX PRO 6000).
• Curves: AVF_SPLINE_GENERATOR at commit 3c8b7362, run per 1024-voxel region with a 128-voxel halo and seeds only inside the region, on Hugging Face CPU Jobs.
• Stitching: each region's curves cut at its own faces and joined across faces where ends meet within 1.5 voxels (86,935 joins); then the CT exterior cleaning Qual uses (curves touching air connected to the scan's outside are dropped). No region missing.
• Checks: on a test cube of Qual's own published V2 set, this pipeline's fibers match his to 98% within one voxel (recall and precision), with lengths within 1%. Region stitching matches one unsplit run to 99.75 to 99.99% within one voxel. PHerc1667 is not among the 30 scrolls the AFV V2 model card lists as training data.

Notes

Model output, nobody has checked it fiber by fiber. Fibers are geometry, a map of papyrus structure: not a reading of any text.

Related

The AFV Fibers page has all six scans and a catalog of every public fiber set, including Qual's own.

Credit and terms

Fiber model, spline generator and .afv format: Qual, Apache 2.0. Scan: Vesuvius Challenge open data, CC BY-NC 4.0; these fibers are derived from it and shared under the same terms. Runs, stitching and this dataset: Chase Hendrick.