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---
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
---