datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ChartDiff
ChartDiff: A Large-Scale Benchmark for Comprehending Pairs of Charts
Overview
ChartDiff is a large-scale benchmark for cross-chart comparative summarization, designed to evaluate whether vision-language models can identify differences and generate coherent comparative descriptions across pairs of charts.
Unlike existing chart understanding datasets that emphasize single-chart interpretation, ChartDiff requires models to compare two charts jointly and generate a concise… See the full description on the dataset page: https://huggingface.co/datasets/ckchaos/ChartDiff.ChartX
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning
[ Related Paper ] [ Website ] [Models 🤗(Hugging Face)]
ChartX & ChartVLM
Recently, many versatile Multi-modal Large Language Models (MLLMs) have emerged continuously. However, their capacity to query information depicted in visual charts and engage in reasoning based on the queried contents remains under-explored. In this paper, to comprehensively and rigorously benchmark the ability… See the full description on the dataset page: https://huggingface.co/datasets/InternScience/ChartX.Chartographer
Chartographer
Chartographer is a chart reasoning dataset for evaluating whether
vision-language models answer chart questions through visual reasoning rather
than shortcuts or prior familiarity with a chart. Each chart-question family
contains an upstream original chart, a reconstructed chart, and ten
seed-controlled counterfactual variants with the same Chartographer chart_id
and question_id.
More details on the construction pipeline and evaluation protocol are available
in the… See the full description on the dataset page: https://huggingface.co/datasets/1fanj/Chartographer.chart-parse-bench
ChartParse-Bench
58 synthetic charts whose exact values were written before the pixels existed.
Every gate in chart extraction measures self-consistency: redraw the extraction, check it
lands on the same ink, call it verified. That passes a series traced confidently off the
wrong axis. Because each chart here ships the array it was drawn from, the question stops
being is this answer plausible and becomes is this answer right.
Contents
family
charts
series… See the full description on the dataset page: https://huggingface.co/datasets/Unsiloed/chart-parse-bench.chart-reasoning-verified
chart-reasoning-verified
Chart reasoning examples generated from an explicit latent representation.
The data, the question and the answer are computed before the chart is
drawn, so the image is a rendering of known ground truth rather than the
source of it. No model was asked to label anything.
Each row carries both a rendered chart and a text serialisation of the same
chart, so the set is usable for vision-language training and for text-only
language model training without… See the full description on the dataset page: https://huggingface.co/datasets/vinod-anbalagan/chart-reasoning-verified.chartrepairbench-v1.3
ChartRepairBench v1.4
ChartRepairBench evaluates agents that identify and repair errors in chart
plotting code using a chart image, code, table and summary.
Protocol: abc-uncapped-v1.
Track
Tasks
Instruction
A
1,900
Repair the chart with its flaw categories disclosed.
B
1,900
Identify and repair the flaws in the chart.
C
2,200
Determine whether repair is needed; preserve correct charts.
A and B contain 1,900 flawed tasks. C contains the same flawed
tasks plus… See the full description on the dataset page: https://huggingface.co/datasets/aydamdonelly0/chartrepairbench-v1.3.chunithm-charts-db
chunithm-charts-db
ChuniSupportの譜面データを平坦なjsonlに変換したやつ。
フィールド
1行が1譜面を表すJSONLです。APIの charts 内の項目を行の直下に展開しています。
以下の型はREADME先頭のHugging Faceスキーマに対応します。null 可の項目は、元データに値がない場合に null になります。
共通項目
ChuniSupport API仕様に基づく項目です。jacket は変換処理で画像URLにしています。
フィールド
型
null可
説明
id
string
—
楽曲ID。通常曲では同じ楽曲の各難易度で共通。
title
string
—
曲名。
reading
string
✓
曲名の読み。
artist
string
—
アーティスト名。
genre
string
✓
ジャンル。
bpm
int32
✓
楽曲のBPM。
release
date32
✓
配信日。JSONLでは… See the full description on the dataset page: https://huggingface.co/datasets/sevenc-nanashi/chunithm-charts-db.chore-chart-kit
chore-chart-kit
100 open-source printable chore chart templates, hand-curated, CC-BY-4.0.
This dataset is the canonical machine-readable index of the
chore-chart-kit project — a free,
open-source collection of printable chore-chart designs for parents, teachers, and
makers. Each row describes one template: theme, format, color palette, descriptive
copy, and URLs to the JSON template, the rendered PNG/SVG/PDF samples, and the
matching customizable web editor on… See the full description on the dataset page: https://huggingface.co/datasets/halallens-no/chore-chart-kit.chart-vllm-ver1Chart-to-Alt