datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ChartNet
ChartNet: A Million-Scale Multimodal Dataset for Chart Understanding
🌐 Homepage | 📖 arXiv
📝 Changelog
June 3, 2026 — Release of grounded_qa subset and completed reasoning subset (both subject to Notice Regarding Data Availability)
May 15, 2026 — Added link to 30K real-world charts and detailed captions dataset released by our collaborators Abaka AI/2077AI.
April 29, 2026 — Release of an additional 2.5 million row subset core_permissive (subject to… See the full description on the dataset page: https://huggingface.co/datasets/ibm-granite/ChartNet.ChartMimic
ChartMimic: Evaluating LMM’s Cross-Modal Reasoning Capability via Chart-to-Code Generation
This is the official dataset repository of ChartMimic.
Kind Note: ChartMimic has been integrated into VLMEvalKit. Welcome to use ChartMimic through VLMEvalKit! Special thanks to the VLMEvalKit team.
1. Data Overview
ChartMimic aims at assessing the visually-grounded code generation capabilities of large multimodal models (LMMs). ChartMimic utilizes information-intensive visual… See the full description on the dataset page: https://huggingface.co/datasets/ChartMimic/ChartMimic.ChartInt
ChartInt
ChartInt is a multimodal chart dataset for chart reconstruction, chart editing, style transfer, interaction editing, and data-update tasks. The Hugging Face release is packaged as a datasets-compatible Parquet dataset so that the Dataset Viewer can display rows, text/code fields, and chart screenshots directly.
Dataset Structure
The dataset contains 2,905 rows in the train split.
Task
Rows
Description
native_reconstruction
556
Reconstruct chart code… See the full description on the dataset page: https://huggingface.co/datasets/xilinghuiye/ChartInt.ChartEdit_cot
STEM Image Chain-of-Thought Edit Analysis Dataset
This dataset contains AI-generated Chain-of-Thought (CoT) reasoning for STEM image editing tasks, providing step-by-step analysis of edit operations.
Dataset Structure
The dataset is organized in batches:
Total batches: 2
Each batch is stored in a separate directory (batch_0000, batch_0001, etc.)
Fields
Each item contains:
Source image and caption (from previous stage)
Edit command (from original dataset)… See the full description on the dataset page: https://huggingface.co/datasets/JackyZhuo/ChartEdit_cot.