# MNB Benchmark Observatory Ledger

**Public experiment records from the Minimal Navigable Benchmark Observatory.**

![Status](https://img.shields.io/badge/status-production--ready-brightgreen)
![Experiments](https://img.shields.io/badge/experiments-200%2C000-blue)
![Verification](https://img.shields.io/badge/verification-SHA3--256-cyan)

## Overview

The MNB Benchmark Ledger contains **200,000 verified experiment records** documenting the evolution of memory-based systems under controlled conditions. Each entry includes cryptographic proof of execution.

## Dataset Statistics

| Metric | Value |
|--------|-------|
| Total Experiments | 200,000 |
| Score Range | 0.3000 - 0.9900 |
| Population Range | 100 - 9,999 |
| Avg Population | 5,053 |
| Verification | 100% |

## Data Schema

| Field | Type | Description |
|-------|------|-------------|
| `experiment_id` | string | Unique experiment ID (mnb_exp_XXXXXX) |
| `timestamp` | ISO 8601 | Experiment timestamp |
| `population_size` | integer | Number of MNBs in simulation |
| `global_coherence_psi` | float | System-wide coherence metric (0-1) |
| `entropy_h` | float | Information entropy |
| `mean_value_density_rho` | float | Average value density |
| `benchmark_score` | float | Composite performance score |
| `verified` | boolean | Cryptographic verification status |
| `cryptographic_proof` | JSON | SHA3-256 Merkle proof |

## Cryptographic Verification

All entries include SHA3-256 Merkle proofs for reproducibility verification. Each experiment generates a deterministic proof chain enabling independent verification.

```python
from huggingface_hub import hf_hub_download
path = hf_hub_download(repo_id="MatverseHub/mnb-benchmark-ledger", filename="mnb_ledger_200k.csv")
```

## Usage

```python
import pandas as pd

# Load dataset
df = pd.read_csv("mnb_ledger_200k.csv")

# Filter high-performing experiments
high_score = df[df["benchmark_score"] > 0.8]

# Analyze coherence trends
coherence_trend = df.groupby("population_size")["global_coherence_psi"].mean()
```

## Research Applications

- Memory system performance benchmarking
- Coherence evolution analysis
- Population dynamics modeling
- Cryptographic proof validation

## Citation

```
@dataset{matverse_mnb_benchmark_ledger,
  title={MNB Benchmark Observatory Ledger},
  author={MatVerse Research Program},
  year={2026},
  publisher={MatverseHub}
}
```

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