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Chart Question Answering datasets

archive 2025-07-28

9 datasets carry the task tag "Chart Question Answering" (the task itself: Chart Question Answering), ordered by the archive's paper count. Page 1 of 1: 9 shown of 9. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

All 12,172 Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Chart Question Answering 9

Chart Question Answering datasets 1–9 of 9

ChartQA
Charts are very popular for analyzing data.
Chart Question Answering
278 papers · 1 benchmark
FigureQA
FigureQA is a visual reasoning corpus of over one million question-answer pairs grounded in over 100,000 images.
ImagesTextsQuestion AnsweringVisual Question Answering (VQA)Visual ReasoningChart Question Answering
61 papers · 1 benchmark
MMVP
The MMVP (Multimodal Visual Patterns) Benchmark focuses on identifying "CLIP-blind pairs" – images that appear similar to the CLIP model despite having clear visual differences.
ImagesTextsSpatial ReasoningChart Question AnsweringMusic Question Answering
53 papers · 1 benchmark
PlotQA
PlotQA is a VQA dataset with 28.9 million question-answer pairs grounded over 224,377 plots on data from real-world sources and questions based on crowd-sourced question templates.
ImagesTextsQuestion AnsweringVisual Question Answering (VQA)Visual Question AnsweringChart Question Answering
50 papers · 5 benchmarks
DVQA (Data Visualizations via Question Answering)
DVQA is a synthetic question-answering dataset on images of bar-charts.
ImagesTextsObject DetectionQuestion AnsweringVisual Question Answering (VQA)Chart Question Answering
49 papers · 1 benchmark
LEAF-QA
LEAF-QA, a comprehensive dataset of 250,000 densely annotated figures/charts, constructed from real-world open data sources, along with ~2 million question-answer (QA) pairs querying the structure and semantics of these charts.
TextsQuestion AnsweringVisual Question Answering (VQA)Chart Question Answering
9 papers · 0 benchmarks
RealCQA
RealCQA Scientific Chart Question Answering as a Test-bed for First-Order Logic check on huggingface : https://huggingface.co/datasets/sal4ahm/RealCQA
ImagesTextsChart Question Answering
6 papers · 1 benchmark
SBS Figures
Building a large-scale figure QA dataset requires a considerable amount of work, from gathering and selecting figures to extracting attributes like text, numbers, and colors, and generating QAs.
Chart Question AnsweringChart Understanding
1 paper · 0 benchmarks
Vega-Lite Chart Collection
We present a new collection of 1,981 Vega-Lite specifications, which is used to demonstrate the generalizability and viability of our NL generation framework.
Chart Question Answering
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.