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<h2>Connect your tool</h2>
<p>Every number and preview on this page comes from the Segment Atlas dataset, and every mesh it measures is a tifxyz folder on the open-data bucket. Both read straight from these URLs, with no account.</p>
<div class="scc-src" id="connect-atlas"><h3>Segment Atlas (one row per published mesh)</h3>
<p class="scc-meta">CC BY-NC 4.0 (derived from Vesuvius Challenge open data) 路 Each row has the mesh's open-data url, its grid size, area, filled share, edge statistics and the holes, folds and stretched area that kit tifxyz check reports. lens/ holds the decimated 3D previews.</p>
<div class="scc-url"><button type="button" class="scc-copy" data-testid="connect-copy" onclick="navigator.clipboard&&navigator.clipboard.writeText(this.parentNode.querySelector('code').innerText).then(()=>{this.textContent='Copied';setTimeout(()=>this.textContent='Copy',1200)})">Copy</button><pre><code>https://huggingface.co/datasets/SharpMeow/vesuvius-segment-atlas</code></pre></div>
<details><summary>Python (huggingface_hub)<span class="scc-b ok">tested 2026-10-24</span></summary>
<div class="scc-code"><button type="button" class="scc-copy" data-testid="connect-copy" onclick="navigator.clipboard&&navigator.clipboard.writeText(this.parentNode.querySelector('code').innerText).then(()=>{this.textContent='Copied';setTimeout(()=>this.textContent='Copy',1200)})">Copy</button><pre><code># pip install huggingface_hub
from huggingface_hub import hf_hub_download, snapshot_download
path = hf_hub_download("SharpMeow/vesuvius-segment-atlas", "atlas.jsonl", repo_type="dataset") # one file, cached
folder = snapshot_download("SharpMeow/vesuvius-segment-atlas", repo_type="dataset")</code></pre></div></details>
<details><summary>Python (datasets)<span class="scc-b ok">tested 2026-10-24</span></summary>
<div class="scc-code"><button type="button" class="scc-copy" data-testid="connect-copy" onclick="navigator.clipboard&&navigator.clipboard.writeText(this.parentNode.querySelector('code').innerText).then(()=>{this.textContent='Copied';setTimeout(()=>this.textContent='Copy',1200)})">Copy</button><pre><code># pip install datasets
from datasets import load_dataset
default = load_dataset("SharpMeow/vesuvius-segment-atlas", "default", split="train")</code></pre></div></details>
<details><summary>pandas<span class="scc-b ok">tested 2026-10-24</span></summary>
<div class="scc-code"><button type="button" class="scc-copy" data-testid="connect-copy" onclick="navigator.clipboard&&navigator.clipboard.writeText(this.parentNode.querySelector('code').innerText).then(()=>{this.textContent='Copied';setTimeout(()=>this.textContent='Copy',1200)})">Copy</button><pre><code># pip install pandas huggingface_hub
import pandas as pd
df = pd.read_json("hf://datasets/SharpMeow/vesuvius-segment-atlas/atlas.jsonl", lines=True)</code></pre></div></details>
<details><summary>Command line (hf)<span class="scc-b ok">tested 2026-10-24</span></summary>
<div class="scc-code"><button type="button" class="scc-copy" data-testid="connect-copy" onclick="navigator.clipboard&&navigator.clipboard.writeText(this.parentNode.querySelector('code').innerText).then(()=>{this.textContent='Copied';setTimeout(()=>this.textContent='Copy',1200)})">Copy</button><pre><code>pip install -U huggingface_hub
hf download SharpMeow/vesuvius-segment-atlas atlas.jsonl --repo-type dataset --local-dir vesuvius-segment-atlas</code></pre></div></details>
<details><summary>curl<span class="scc-b ok">tested 2026-10-24</span></summary>
<div class="scc-code"><button type="button" class="scc-copy" data-testid="connect-copy" onclick="navigator.clipboard&&navigator.clipboard.writeText(this.parentNode.querySelector('code').innerText).then(()=>{this.textContent='Copied';setTimeout(()=>this.textContent='Copy',1200)})">Copy</button><pre><code>curl -L -O https://huggingface.co/datasets/SharpMeow/vesuvius-segment-atlas/resolve/main/atlas.jsonl</code></pre></div></details>
</div>
<div class="scc-src" id="connect-mesh"><h3>A measured mesh (tifxyz), example PHerc0009B 20250510172639</h3>
<p class="scc-meta">CC BY-NC 4.0 (Vesuvius Challenge open data) 路 Every row of the atlas names its mesh folder in url; the table's mesh folder link opens it. Read live from the open-data bucket, never copied here.</p>
<div class="scc-url"><button type="button" class="scc-copy" data-testid="connect-copy" onclick="navigator.clipboard&&navigator.clipboard.writeText(this.parentNode.querySelector('code').innerText).then(()=>{this.textContent='Copied';setTimeout(()=>this.textContent='Copy',1200)})">Copy</button><pre><code>https://vesuvius-challenge-open-data.s3.us-east-1.amazonaws.com/PHerc0009B/segments/20250510172639/mesh/20250510172639-on-20250521125136-8.64um.tifxyz</code></pre></div>
<details><summary>Python (numpy, tifffile)<span class="scc-b ok">tested 2026-10-24</span></summary>
<div class="scc-code"><button type="button" class="scc-copy" data-testid="connect-copy" onclick="navigator.clipboard&&navigator.clipboard.writeText(this.parentNode.querySelector('code').innerText).then(()=>{this.textContent='Copied';setTimeout(()=>this.textContent='Copy',1200)})">Copy</button><pre><code># pip install numpy tifffile
import io, json, urllib.request
import numpy as np, tifffile
T = "https://vesuvius-challenge-open-data.s3.us-east-1.amazonaws.com/PHerc0009B/segments/20250510172639/mesh/20250510172639-on-20250521125136-8.64um.tifxyz"
meta = json.load(urllib.request.urlopen(T + "/meta.json")) # scale, bbox, format
get = lambda c: tifffile.imread(io.BytesIO(urllib.request.urlopen(f"{T}/{c}.tif").read()))
xyz = np.stack([get(c) for c in "xyz"], -1) # xyz[i, j] = (x, y, z) in scan voxels; -1 = no surface</code></pre></div></details>
</div>
<div class="scc-src" id="connect-page"><h3>This page's code and data</h3>
<p class="scc-meta">Page code Apache 2.0; data as above 路 python -m kit atlas show SCROLL and python -m kit tifxyz check MESH_URL reproduce the numbers from a clone of ChaseHendrick/Scrolls.</p>
<div class="scc-url"><button type="button" class="scc-copy" data-testid="connect-copy" onclick="navigator.clipboard&&navigator.clipboard.writeText(this.parentNode.querySelector('code').innerText).then(()=>{this.textContent='Copied';setTimeout(()=>this.textContent='Copy',1200)})">Copy</button><pre><code>https://sharpmeow-segment-lens.hf.space/</code></pre></div>
<details><summary>Links and embed<span class="scc-b ok">tested 2026-10-24</span></summary>
<div class="scc-code"><button type="button" class="scc-copy" data-testid="connect-copy" onclick="navigator.clipboard&&navigator.clipboard.writeText(this.parentNode.querySelector('code').innerText).then(()=>{this.textContent='Copied';setTimeout(()=>this.textContent='Copy',1200)})">Copy</button><pre><code>The whole atlas as one CSV: https://huggingface.co/datasets/SharpMeow/vesuvius-segment-atlas/resolve/main/atlas.csv
API and MCP for agents (list_scrolls, list_segments, get_segment, segment_picture): https://sharpmeow-segment-lens.hf.space/agents/
Page source: https://github.com/ChaseHendrick/Scrolls/tree/main/spaces/segment-lens</code></pre></div></details>
</div>
<footer>Machine-readable: <a href="https://huggingface.co/spaces/SharpMeow/segment-lens/blob/main/connect.json" target="_blank" rel="noopener">connect.json</a> and <a href="https://huggingface.co/spaces/SharpMeow/segment-lens/blob/main/CONNECT.md" target="_blank" rel="noopener">CONNECT.md</a>. Checked 2026-10-24. "Tested" means the snippet ran against this public data on that date. Scan data keeps its own license (the Vesuvius Challenge open data is CC BY-NC 4.0).</footer></section>
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