Datasets:
Download README.md from VietAlphaLabs/HistGramBench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/VietAlphaLabs/HistGramBench/resolve/main/README.md
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pretty_name: HistGramBench
license: apache-2.0
annotations_creators:
- machine-generated
language:
- en
- fr
- de
- ru
- zh
- it
- pt
- gu
task_categories:
- image-to-text
tags:
- benchmark
- tikz
- mathematics
- geometry
- historical-documents
- digital-humanities
- vision-language-models
size_categories:
- 1K<n<10K
configs:
- config_name: items
default: true
data_files:
- split: test
path: data/items/test-*.parquet
- split: development
path: data/items/development-*.parquet
- config_name: answer_key_facts
data_files:
- split: test
path: data/answer_key_facts/test-*.parquet
- split: development
path: data/answer_key_facts/development-*.parquet
- config_name: answer_key_entities
data_files:
- split: test
path: data/answer_key_entities/test-*.parquet
- split: development
path: data/answer_key_entities/development-*.parquet
- config_name: answer_key_records
data_files:
- split: test
path: data/answer_key_records/test-*.parquet
- split: development
path: data/answer_key_records/development-*.parquet
- config_name: answers
data_files:
- split: test
path: data/answers/test-*.parquet
- split: development
path: data/answers/development-*.parquet
- config_name: verdicts
data_files:
- split: test
path: data/verdicts/test-*.parquet
- split: development
path: data/verdicts/development-*.parquet
- config_name: cgx
data_files:
- split: test
path: data/cgx/test-*.parquet
- split: development
path: data/cgx/development-*.parquet
- config_name: compiled_pdfs
data_files:
- split: test
path: data/compiled_pdfs/test-*.parquet
- split: development
path: data/compiled_pdfs/development-*.parquet
- config_name: scores
data_files:
- split: test
path: data/scores/test-*.parquet
- split: development
path: data/scores/development-*.parquet
- config_name: works
data_files:
- split: records
path: data/works/records-*.parquet
- config_name: split_groups
data_files:
- split: records
path: data/split_groups/records-*.parquet
HistGramBench
HistGramBench measures how well vision-language models redraw printed historical mathematical diagrams as TikZ. Each figure comes with an answer key of typed facts: points, lines, circles, incidences, parallels, labels. A model's TikZ is compiled in a sandbox, its drawing is read back as vector geometry, and each key fact is checked on that geometry or, where geometry cannot decide, by judge models. A figure's score is the share of its key facts the drawing recovers.
Code, protocol and reproduction instructions: github.com/VietAlpha/histgrambench.
Paper. arXiv:2611.00081. Overview: vietalpha.org/research/histgrambench.
At a glance
| Scored figures | 2,507 from 95 works, printed 1551–1933 |
| Development figures | 150 from 5 works |
| Answer-key facts | 114,403 on the scored figures |
| Contestant answers | 30,084 (6 models × 2 tracks × 2,507 figures) |
| Tracks | A: image only; B: image plus page text |
Loading
from datasets import load_dataset
items = load_dataset("VietAlphaLabs/HistGramBench", "items", split="test")
keys = load_dataset("VietAlphaLabs/HistGramBench", "answer_key_facts", split="test")
row = items[0]
row["image"] # the figure given to the model
facts = keys.filter(lambda f: f["item_id"] == row["item_id"] and f["in_key"])
Contents
| Config | Content |
|---|---|
items |
figures with image, page text and metadata |
answer_key_facts, answer_key_entities, answer_key_records |
answer keys and how they were built |
answers |
contestant outputs with outcome codes |
compiled_pdfs, cgx |
compiled drawings and the geometry read from them |
verdicts, scores |
per-fact verdicts and per-figure scores |
works, split_groups |
source works and the source groups behind the split |
Splits: test is the scored set; development was used to fix thresholds before the test run. item_id joins all
tables. Column definitions are in SCHEMA.md.
Licence and citing figures
Apache-2.0 (LICENSE). Most figures come from works held by Wikimedia Commons, the Internet Archive, the
Göttingen Digitization Center, Numdam and Project Gutenberg. When you reproduce a figure, credit its source work
and repository as listed in works.
Citation
@misc{tran2026histgrambench,
title = {{HistGramBench}: Measuring Structural Recovery When Multimodal Models Redraw Historical Mathematical Diagrams as {TikZ}},
author = {Tran, Minh Quang and He, Carter and Bloch, Cameron and Huang, Zitai and Vo, Thien Truong and Tran, Trong Nguyen and Chen, Isaac},
year = {2026},
eprint = {2611.00081},
archivePrefix = {arXiv},
primaryClass = {cs.CV},
url = {https://arxiv.org/abs/2611.00081}
}