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41K Person - Multi-Style Character Consistent Video Dataset for AI
character consistency dataset
consistent character dataset
character consistent video dataset
digital human dataset
video generation dataset
This dataset contains multi-style human video data featuring 41,605 unique person IDs across diverse environments. The dataset represents individuals across different age groups and skin tones. Each video has a resolution of at least 1080p and a minimum duration of 10 seconds, and all videos include audio. This dataset can be used for character-consistent video generation, digital human generation, and other generative AI applications.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data Content
41605 people, each with 1 frontal photo and 4 to 50 videos, where the videos include at least 3 of the following 4 types: ①videos of person’s talking. ②videos of person’s body motion. ③videos of person-object-interaction. ④videos of person-person-interaction.
Data Quality
①all videos have audio. ②video’s resolution is no less than 1920x1080, and the duration is no less than 10 seconds. ③the environment, background, and clothing of each person vary across the videos. ④the facial information in the videos is complete.
Data Distribution
covers a variety of skin colors, genders(female,male) and ages(young,middle-age,old-age).
Data Annotation
skin color, gender, and ages of each person, as well as the type corresponding to each video.
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.