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string
format
string
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string
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string
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int64
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string
provenance
string
dot_github_search_0012429
dot
github_search
stage_8192-12288
9,863
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digraph neomutt { graph [ rankdir="TB" nodesep="0.5" ranksep="0.5" ]; node [ shape="plain" ]; edge [ penwidth="4.5" arrowsize="1.0" color="#c0c0c0" ]; obj_0x1dba5e0 [ label=<<table cellspacing="0" border="1" rows="*" color="#d0d0d0"> <tr> <td border="0" align="left" bgcolor="#9347de" por...
dot_github_search_0003926
dot
github_search
stage_32768_plus
40,945
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digraph RNN { labelloc="t"; label="Genome Fitness: 2477.07% MAE"; graph [pad="0.01", nodesep="0.05", ranksep="0.9"]; { rank = source; node1 [shape=box,color=green,label="input 1\ndepth 0\nLatitude"]; node2 [shape=box,color=green,label="input 2\ndepth 0\nLongitude"]; node3 [shape=box,color=green,label="input ...
dot_github_search_0001917
dot
github_search
stage_4096-6144
4,267
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digraph { "Function- _ZNSaIcEC2Ev" "Function- _ZNSt6chrono8durationIxSt5ratioILx1ELx1000000000EEEC2IxvEERKT_" "Function- _ZNSt6chrono8durationIxSt5ratioILx1ELx1000000000EEEC2IxvEERKT_" -> "Function- _ZNSaIcEC2Ev" [dir=back] "Function- _ZNSt6chrono15duration_valuesIxE4zeroEv" "Function- _ZNSt6chrono15duration_value...
dot_github_search_0001985
dot
github_search
stage_2048-4096
2,498
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digraph boys1foursThayer {BUAcademy [URL="boys1foursThayerBUAcademy.html"];MarianapolisPrep [URL="boys1foursThayerMarianapolisPrep.html"];Medford [URL="boys1foursThayerMedford.html"];StMarysLynn [URL="boys1foursThayerStMarysLynn.html"];BrewsterAcademy [URL="boys1foursThayerBrewsterAcademy.html"];Thayer [URL="boys1fours...
dot_github_search_0006268
dot
github_search
stage_8192-12288
8,466
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digraph "pkg_resources._vendor.pyparsing.core.ParserElement.split" { // LATEX_PDF_SIZE bgcolor="transparent"; edge [fontname=Helvetica,fontsize=10,labelfontname=Helvetica,labelfontsize=10]; node [fontname=Helvetica,fontsize=10,shape=box,height=0.2,width=0.4]; rankdir="RL"; Node1 [id="Node000001",label="pkg_r...
dot_github_search_0003508
dot
github_search
stage_2048-4096
3,232
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digraph { node [fontsize=9 height=0.2 shape=circle width=0.2] "dintancia projetil 1" [fillcolor=lightgray shape=box style=filled] "distancia projetil 2" [fillcolor=lightgray shape=box style=filled] "distancia projetil 3" [fillcolor=lightgray shape=box style=filled] "distancia projetil 4" [fillcolor=lightgray shape...
dot_thestack_restructuredtext_0000221
dot
thestack_restructuredtext
stage_0-2048
44
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digraph { "poliastro.coordinates" -> "body_centered_to_icrs", "icrs_to_body_centered", "inertial_body_centered_to_pqw", "transform" ; }
dot_thestack_graphviz_dot_0010543
dot
thestack_graphviz_dot
stage_16384-20480
18,948
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"digraph G {\nnode[shape=rectangle,style=filled,fillcolor=lightsteelblue,color=lightsteelblue]\nbgco(...TRUNCATED)
dot_thestack_md_0000461
dot
thestack_md
stage_0-2048
730
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"digraph agents {\nrankdir=LR;\n\ncontributions [label=\"CONTRIBUTIONS\" shape=box penwidth=0 fontsi(...TRUNCATED)
dot_thestack_graphviz_dot_0004003
dot
thestack_graphviz_dot
stage_6144-8192
8,164
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"graph {\n 0;\n 1;\n 2;\n 3;\n 4;\n 5;\n 6;\n 7;\n 8;\n 9;\n 10;\n 11;\n 12;\n 13;\n (...TRUNCATED)
End of preview. Expand in Data Studio

StructCrawl Sample — Structured Image Understanding

A uniform random subsample (~500 per format×stage×source cell) of a larger web-crawled corpus for structured image understanding: converting a rendered image of a diagram/chart into the editable structured-text code that produces it.

This is a sharing sample, not the full dataset — it is stratified so every length band and every source is represented for inspection.

Configs (one per code representation)

Config Rows Description
svg ~21.7K Diagrams/charts/schematics as SVG XML
dot ~9.7K Graphs as Graphviz DOT
plantuml ~3.7K UML/sequence diagrams as PlantUML
vega ~3.5K Charts as Vega-Lite JSON specs
mermaid ~3.3K Flowcharts/sequence/class/ER as Mermaid

(Exact per-config counts in _manifest.json.)

Usage

from datasets import load_dataset

ds = load_dataset("<your-username>/<repo-name>", "svg", split="train")
ex = ds[0]
ex["image"]         # PIL.Image — the rendered diagram
ex["target_text"]   # the SVG/Mermaid/DOT/PlantUML/Vega source to reproduce it
ex["stage"]         # token-length band, e.g. "stage_0-2048"
ex["source"]        # crawl origin, e.g. "commoncrawl_inline"
ex["token_count"]   # target_text length in SFT tokenizer tokens

Fields

Field Type Notes
id string unique sample id
format string svg | mermaid | dot | plantuml | vega
source string crawl origin (commoncrawl_inline, github_repos, github_search, thestack_*, web_linked, wikimedia, ...)
stage string token-length band (2048-token steps to 8192, 4096-steps to 32768, then stage_32768_plus)
token_count int64 target_text length (SFT tokenizer)
image Image rendered diagram (native dimensions, white background)
target_text string the structured-text code that renders to image
provenance string original url / repo / path when available

Sampling & processing

  • Stratified: up to 500 samples drawn uniformly at random (seed 42, reservoir sampling) from every (format × stage × source) cell.
  • Washed: samples whose code cannot be reproduced from the image alone were removed upstream — base64-embedded rasters/fonts, external image/data references, scripts, <foreignObject>, PlantUML !include/sprites.
  • Deduplicated: exact content-level dedup (whitespace-normalized SHA-256), filename-independent. Near-duplicate template families may still remain.
  • Render-validated: every target_text was executed and produced a non-blank image; the paired image is that render.

Caveats

  • Licensing is mixed (public web, license-filtered source corpora, CC-BY Commons) — intended for research; per-sample provenance retained for attribution.
  • SVG length is heavy-tailed; use stage / token_count to filter.
  • This is a small representative slice of a ~860K-pair processed corpus.
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