LLM Datasets

300 million images, each corresponding to a description. All are genuine image works published by photographers. The vast majority of descriptions are in English, with very few in Chinese.

7 million global genuine high-quality videos. All are genuine video works released by photographers around the world. 6 million of them are described in English and 1 million in Chinese. They cover a variety of categories such as people, landscapes, animals, etc. The resolution is above 1080p.

10 Million - English Test Questions Text Parsing And Processing Data, Each question contains title, answer, parse, subject, grade, question type; The educational stages cover primary, middle, high school, and university; Subjects cover mathmatics, biology, accounting, etc.The data are questions text under the Anglo-American system, which can be used to enhance the subject knowledge of large models

100,000 Instruction-Following Evaluation SFT for Chinese LLM Text Data. Between 50 and 400 words, with no fewer than 3 constraints in each prompt.All prompt are manually written to satisfy the diversity of coverage.

Large Language Model content safety considerations text data, about 570,000 in total, this dataset can be used for tasks such as LLM training, chatgpt

The data contains 203,029 groups Chinese question answering data between doctors and patients of different diseases.

1 million pairs of images and descriptions, the pictures cover various categories, including landscapes, animals, flowers and trees, people, cars, sports, industry, and architecture, along with an aesthetic subset. They depict the overall scene of the image, the details within the scene, and the emotions conveyed by the image. The description is provided in both English and Chinese languages.

This database is the interactive text corpus of real users on the mobile phone. The database itself has been desensitized to ensure of no private information of the user's (A and B are the codes to replace the sender and receiver, and sensitive information such as cellphone number and user name are replaced with '* * *'). This database can be used for tasks such as natural language understanding.

Multi-domain Customer Service Dialogue Text Data, 90,000 sets in total; spanning multiple domains, including telecommunications, e-commerce, and financial, lifestyle, business, education, healthcare, and entertainment; Each set of data consists of single or multi-turn conversations; this dataset can be used for tasks such as LLM training, chatgpt