AMC/AIME Mathematics Problem and Solution Dataset

  Dataset Details

Dataset Name: AMC/AIME Mathematics Problem and Solution Dataset Version: 1.0 Release Date: 2024-06-1 Authors: Kevin Amiri

  Intended Use

Primary Use: The dataset is created and intended for research and an AI Mathematical Olympiad Kaggle competition. Intended Users: Researchers in AI & mathematics or science.

  Dataset Composition

Number of Examples: 20,300 problems and solution sets… See the full description on the dataset page: https://huggingface.co/datasets/kevin009/olympiad-math-contest-llama3-20k.

About this Dataset

This dataset contains the official manuscript of T-Física, a multidimensional theory developed by Tiberius (Emerson Italo Lima da Silva) that unifies principles from physics, linguistics, perception, and harmonic intelligence. It is both a philosophical framework and a scientific proposition — exploring how time, energy, and consciousness are structured not by linear equations, but by harmonic correspondences.

T-Física introduces a new epistemological and computational paradigm built on four postulates:

• Angular Relativity (AR)
• Principle of Quantum Cellular Motion (PQCM)
• Quantum Punctuality (QP)
• Materarithmetry (Harmonic Quantification of Matter)

These postulates are not merely symbolic — they define a harmonic field in which time, consciousness, and perception are dynamically modulated through oscillatory geometry.

This document serves as the epistemological foundation of the submission titled:
S.O.M. 1.0 – Harmonic Inference Model, presented for the AI Mathematical Olympiad – Progress Prize 2 (AIMO 2).

To explore the model and the full theory, visit: tiberiuslima.com

Citation

Tiberius, E. I. L. (2025). T-Física: The Language of Time and the Geometry of Perception. Kaggle Datasets.

License Statement (CC BY-NC 4.0)

This work is licensed under the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) License.
You are free to:

• Share – Copy and redistribute the material in any medium or format
• Adapt – Remix, transform, and build upon the material

Under the following terms:

• Attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.
• NonCommercial – You may not use the material for commercial purposes without explicit permission from the author.

For partnerships, research, or licensing inquiries:

contact@tiberiuslima.com
tiberiuslima.com

© Emerson Ítalo Lima da Silva (Tiberius), 2025. All rights reserved.