README.md

metadata

license: cc-by-nc-4.0
task_categories:
  - table-question-answering
  - text-classification
  - multiple-choice
  - token-classification
language:
  - en
tags:
  - chemistry
  - biology
  - pysics
  - synthetic
  - data
  - cosmology
  - training
pretty_name: LFM premium synthentic training data
size_categories:
  - 1B<n<10B

-# LFM Physics 5M Sample Dataset

FREE 5M sample of our 1B prediction Lattice Field Model (LFM) dataset for advanced physics AI training.

Overview

This dataset provides 5,000,000 synthetic predictions generated using a recursive, scale-dependent LFM simulation. It’s designed for training machine learning models in quantum field theory, cosmology, and multi-scale physics simulations.

• Size: 5,000,000 predictions (~1.7 GB JSONL, ~0.4 GB Parquet)
• Features:
  • k: Scale parameter (integer, 60–120)
  • field_shift: Field variation (-2 to 2)
  • alpha_mod: Coupling modifier (-0.5 to 0.5)
  • mass_kg: Particle mass (kg)
  • pressure_Pa: Vacuum pressure (Pa)
  • temp_K: Phase transition temperature (K)
  • coupling: Scale-dependent coupling (m³/J)
  • decay_rate: Decay rate (s⁻¹)
  • resonance_J: Resonance energy (J)
  • mixing_angle: Mixing angle (radians)
  • cosmo_param: Cosmological parameter
  • domain: "lfm_physics"
  • license: "CC-BY-NC-4.0"
• Use Cases:
  • Training AI for quantum field simulations
  • Cosmological parameter estimation
  • Multi-scale physics modeling
• Full Dataset: 1B predictions, $49,000 commercial license

Sample Data

{
  "domain": "lfm_physics",
  "k": 85,
  "field_shift": -0.123456,
  "alpha_mod": 0.234567,
  "mass_kg": 1.23e-25,
  "pressure_Pa": 4.56e60,
  "temp_K": 1.09e15,
  "coupling": 3.45e-48,
  "decay_rate": 1.27e-23,
  "resonance_J": 2.44e-8,
  "mixing_angle": 0.707,
  "cosmo_param": 7.48e52,
  "license": "CC-BY-NC-4.0"
}--
license: cc-by-nc-4.0
---