---
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
```json
{
  "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
---