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This dataset consisting of 20,846 recipe groups. Each recipe contains between 4-18 images and each image with a corresponding textual description. Cuisines include Chinese, Western, Korean, Japanese and others. Description languages are Chinese and English, with minimum lengths of 15 Chinese words and 30 English words per description. The data is suitable for vision language model training, image captioning, multimodal recipe understanding, and instruction-following tasks related to cooking workflows.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data size
20,846 groups, each set of recipes contains 4-18 images and a text description for each image
Cuisine distribution
including Chinese Cuisine, Western Cuisine, Korean Cuisine, Japanese Cuisine, etc.
Description Languages
Chinese and English
Data diversity
multiple cuisines, multiple description languages
Resolution
in principle, no less than 2 million
Text length
in principle, the description in Chinese should be no less than 15 words, and the description in English should be no less than 30 words
Data format
the image format is in common format, such as.jpg, and the annotation file is in.txt format
Annotation content
detailed step-by-step descriptions are provided for each image in every cookbook
Accuracy rate
the image description text is objective and clear, there are no obvious sentence and word spelling errors, no sensitive content description, and the sentence accuracy is not less than 95%
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.
Specifications
Sample
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