Dataset · Hugging Face

ChartFoundation/ECD-10k-Images

Name: ECD-10k-Images
Creator: ChartFoundation
License: mit
Keywords: task_categories:image-text-to-text, task_ids:visual-question-answering, annotations_creators:GPT-4o-generated, multilinguality:monolingual, language:en, license:mit, size_categories:10K<n<100K, arxiv:2508.06492, region:us, Chart VQA, Chart Understanding, Chart Synthetic Data

Effective Training Data Synthesis for Improving MLLM Chart Understanding The Effective Chart Dataset (ECD-10k-Images) is a high-quality, multimodal dataset designed to enhance chart understanding capabilities in Multimodal Large Language Models (MLLMs). This dataset includes over 10,000 synthetic chart images and 321,544 QA pairs (both descriptive and reasoning) spanning 29 chart types, 25 themes, and 252 unique chart combinations. By addressing data realism, complexity, and… See the full description on the dataset page: https://huggingface.co/datasets/ChartFoundation/ECD-10k-Images.

View on Hugging FaceReport an issue

Author / organization	ChartFoundation
License (as declared)	mit
Downloads	283 (as reported by Hugging Face)
Likes	4
Created	6 August 2025
Last updated at source	14 August 2025

Chart VQAChart UnderstandingChart Synthetic Data

Embed this entry

<iframe src="https://silytics.si/embed/item/559e3e4b-a2b2-4c66-878e-aec705b01454" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

283 now (+7 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from ChartFoundation

ChartFoundation/ChartStyle-100kDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.