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101759 Sets - Video QA Dataset, which include 10 genres of video and its corresponding QA annotation. The 10 genres are office/education/travel/cooking/product/news/fashion/sports/health/entertainment. Videos are >60s, >=1080p, with audio. QA annotations have multiple question types, like action/action-change/location/location-change/scene/scene-change/attribute/attribute-change, etc. QA annotations are >=5 turns per video, >=10 characters per turn for both question and answer. This dataset can be used for multi-modal understanding tasks, like VQA, etc.
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
Specifications
Data content
101,759 video QA sets, each contains one video and its corresponding Q&A annotation file.
Q&A turns grounded in the video. Each round includes a question, an answer, a flag indicating whether audio is required, and start/end time-stamps.
Data quality
①video: >60s, >=1080p, with audio; ②annotation: >=5 turns per video, >=10 characters per turn for both question and answer; ③accuracy: >=95% of all Q&A turns are correct.
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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