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m.nexdata.datatang.com

100K Chart QA Dataset for Multimodal AI Training

chart QA dataset
chart VQA dataset
chart question answering dataset
chart visual question answering dataset
chart understanding dataset

This dataset contains 100,440 chart data sets, including 79,044 Chinese-language sets and 21,396 English-language sets. Each chart image is paired with one structured description and two question-answer pairs, with annotations provided in the corresponding language of the chart content. The dataset is suitable for chart understanding, chart question answering (Chart QA), visual question answering (VQA), and vision-language model (VLM) training.

Paid Datasets
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
SpecificationsSpecifications
Data size
100,440 sets, including 79,044 in Chinese, 21,396 in English
Data resolution
Based on clear and visible image content
Data format
The image format is commonly used formats such as jpg, the description&QA annotation is in markdown format
Data annotation
For image content, provide structured descriptions and Q&A annotations in Chinese or English, with 1 structured description and 2 Q&A
Accuracy
The image data that meets the acquisition requirements shall not be less than 98%; For structured descriptions and Q&A content of images, if the description or Q&A objectively and accurately reflects the image content, without obvious text or logical errors, and does not contain sensitive content, it is considered to be correctly labeled. With punctuation marks as intervals, the proportion of correctly labeled sentences is not less than 95%.
Sample Sample
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Dataset FAQs

What can Nexdata’s LLM datasets be used for?

Nexdata’s LLM datasets can support a wide range of large language model development tasks, including pre-training, supervised fine-tuning, instruction tuning, preference optimization, evaluation, and domain-specific model development. Depending on the dataset, data may include text, instruction-response pairs, conversations, question-answer pairs, reasoning data, and other structured or annotated content.

Can Nexdata customize LLM datasets based on our specific model and requirements?

Yes. If our off-the-shelf LLM datasets do not fully match your requirements, Nexdata provides flexible custom data collection, generation, annotation, curation, and quality control services. We can customize datasets based on your target languages, domains, use cases, data formats, task types, volume, and quality requirements to support specific LLM training and evaluation projects.

Can Nexdata provide large-scale and high-quality data for LLM development?

Yes. Nexdata can support large-scale LLM data projects across multiple languages, domains, and data types. Our data services include multi-stage quality control, data cleaning, annotation, validation, and curation to help ensure consistency and usability. For projects requiring data beyond our existing datasets, our customized data services can be scaled according to the required volume, specifications, and delivery schedule.

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