High-Quality Training Datasets

1.51 Million Sets of Single-image and Multi-image Fusion Image Editing Data. Editing types include 500,000 sets of portrait/object consistency editing, 300,000 sets of structural edits, 210,000 sets of mixed editing, and 450,000 sets of spatial editing, and 50,000 sets of style transfer editing. The editing targets cover scenes such as people, animals, goods, plants, and landscapes. In terms of annotation, the targets that need to be edited in the image are edited according to the editing instructions. The data can be used for tasks such as image synthesis, data augmentation, and virtual scene generation.

This dataset includes 70 multi-race subjects, the collection scenes are indoor scenes and outdoor scenes. The dataset includes males and females, age distribution is 18-50 years old. The device includes cellphone, camera, iPhone of multiple models (iPhone X or more advanced iPhone models). The data diversity includes multiple devices, multiple actions, multiple facial postures, multiple anti-spoofing samples, multiple light conditions, multiple scenes. This data can be used for tasks such as 2D liveness detection, 3D liveness detection, face anti-spoofing, 2D face recognition, and 3D face recognition.

40 People - Multi-level Control Multi-emotional Paralanguage Annotated Speech Synthesis Corpus，recorded by native professional voice actors/actresses. The content of the recording contains multi-level control, multi-emotional, single-emotional, single-tone, emotional shift, paralanguage. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.

This data collected from dialogues based on given topics. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

Chinese Expressive Narration Speech Synthesis Dataset recorded by 4 professional character voice actors. Given the book-based content, speakers reads in a highly expressive narration style. Suitable for audiobook-like TTS generation. This dataset supports expressive TTS, storytelling voice models, audiobook synthesis, and emotion-rich speech generation.

This is a Chinese speech synthesis dataset recorded by 4 professional character-voice actors, covering multiple speaking styles (e.g. authoritative female boss, straightforward prince, nimble maid, kind elderly woman) and emotions include disdain, anger, happiness, concern, surprise, gasp of fear, cold snort (disdain), sympathy, laughter, inner thoughts, seriousness, disgust, puzzlement, sadness and neutrality. The dataset is ideal for building expressive text-to-speech (TTS), voice acting, character-based narration, emotion-aware speech generation, and related AI voice applications.

Spanish(Argentina) Real-world Casual Conversation and Monologue speech dataset, covers self-media, conversation, variety show and other generic domains, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

This dataset contains 10 hours of Brazilian Portuguese speech recordings, collected from native Brazilian speakers. The corpus is related to the customer service field. The dataset features balanced phoneme coverage. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.

Massive 3D Models & Scenes Dataset includes 270 million sets of 3D models and 18 million 3D scenes. 3D models cover conventional models, interactive models, and physics-enhanced models with various objects in indoor residential environments. 3D scenes cover indoor home decoration scenarios and commercial space environments. This dataset can be used for tasks like 3D asset generation, virtual environment simulation, AI model training, and industrial design applications.

The INTERSPEECH 2025 MLC-SLM Challenge Dataset, curated by Nexdata, is derived from fifteen proprietary conversational speech corpora. Distinguished by exceptional annotation accuracy and operational reliability, this dataset is engineered to address critical challenges in multilingual automatic speech recognition (ASR) and long-context comprehension. It meticulously replicates real-world complexities including spontaneous interruptions and speaker overlaps across 11 languages (1500 hours total duration), thereby providing robust training resources for developing world-ready ASR systems. All data collection and processing strictly comply with international privacy regulations including GDPR, CCPA and PIPL, with rigorous protocols ensuring participant anonymity and ethical data usage throughout the lifecycle.

4600 Hours Mandarin Full-Duplex Multi-Channel Speech Dataset is collected from dialogues based on given topics. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

This dataset contains 1.5 million English science and engineering test questions, including mathematics, physics, chemistry, biology, and other STEM subjects at the university level. Each questions contain title, answer, parse, type, subject, grade. The dataset can be used for large model subject knowledge enhancement tasks.