Open Source Synthetic Datasets for Multimodal AI Training
Engineered by Yatin Taneja
Creative Professionals Agentic Tasks 1M
A massive-scale, high-fidelity synthetic task dataset featuring 1,070,930 agentic command operations across 36 creative, technical, and engineering software environments. This dataset is engineered exclusively to stress-test, evaluate, and fine-tune multimodal AI agents designed for Agent Environment operation, complex software interaction, and multi-step reasoning within deep software infrastructures.
Audio/Video Engineering Agentic Tasks 1M
A highly specialized dataset featuring 1,031,068 in-context troubleshooting prompts and execution commands for the deepest levels of media production. Unlike standard datasets that simulate clean, theoretical instructions, this matrix captures the chaotic, highly-detailed, and conversational reality of professional audio engineers, composers, and video editors mid-session. It is engineered to train multimodal AI agents to operate in high-stress, technical environments where instructions are complex, multi-layered, and tightly coupled with time-based execution.
Adversarial Agent Intent Safety Analysis 240K
A deterministically structured dataset featuring over 243,000 context-rich adversarial prompts and safety evaluations. Engineered strictly for training frontier command-and-control models, guardrail classifiers, and red-teaming agents, it encourages models to parse multi-layered intention across 126 critical risk vectors.
About Yatin
A growth-driven business expert and AI systems engineer. I have trained and managed big AI teams (up to 30 members), including Pod leads and IC AI trainers working on MAANG AI projects, with modalities such as Text, Vision, Audio, Video, GUI, etc., at SFT or RLHF levels. With a specialization in creating multimodal datasets, developing AI Agents with a high precision rate, Adversarial Prompt Engineering, AI Music Understanding, Audio Engineering & Technical Documentation, I contribute to the growth of AGI & ASI.
Currently engaged in engineering full-stack applications and AI agents through an AI-first development approach. Testing and benchmarking various model formats and execution engines, and researching superintelligence frameworks and their role in planetary-scale challenges. Ongoing work includes massive AI training datasets for multimodal and secure agent development. The datasets are relevant to all types of agent environments and every professional domain.
Being an experienced musician, poet, graphic designer, and MBA in Marketing & International Business, I have a unique sense of creativity, management expertise, and innovation. I also have online course certifications from top institutions such as the University of London, Wharton, University of Michigan, Google, and Microsoft.
Explore my professional portfolio website (yatintaneja.in) or IM Superintelligence to preview my work, knowledge hub, and how my insights can help drive your business forward.
Connect
LinkedIn - https://www.linkedin.com/in/yatintaneja-pro/
Email - yatintaneja.connect@gmail.com