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logo
  • Datasets

  • Blogs

  • About

  • Projects

    Project-EVA
  • Resources

    Paper

SuperGPQA: An LLM Evaluation Benchmark Across 285 Graduate Disciplines

Creative Writing Dataset with Thought Processes: Unleashing Human-like Creativity in AI

OmniHD-Scenes: A Next-Generation Multimodal Dataset for Autonomous Driving

Matrix Dataset: A Revolutionary Bilingual AI Pre-training Corpus

PIN Dataset: A Unified Paradigm for Multimodal Learning

Dataset Collection

SuperGPQA

SuperGPQA is a large-scale and highly challenging benchmark created to evaluate the advanced reasoning capabilities of Large Language Models (LLMs). Its purpose is to test model performance on expert-level, graduate qualification questions across an unprecedented 285 academic and professional disciplines.

Creative Writing Dataset with Thought Processes

introducing M-A-P and 2077AI latest open-source work: A High-Quality Chinese Creative Writing with Thought Process Dataset. This revolutionary project is designed to help language models move beyond a generic "sense of AI" and truly capture the depth and nuance of human creativity

OmniHD-Scenes

The 2077AI Foundation has released a new generation of datasets for the autonomous driving. These datasets provide large-scale, more modern, and more realistic data that offer perspectives not previously available.

Matrix Dataset

As pioneers in AI data standardization and advancement, we are committed to unlocking AI potential through high-quality data, accelerating AI development, and nurturing an efficient, thriving AI data ecosystem. The Matrix Dataset is a crucial component of this vision.

PIN Dataset

2077AI Foundation is proud to introduce our new project, the PIN Multimodal Dataset Document.

2077AI

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