MiningEmissions / README.md
beanapologist's picture
Add dataset README with tags and metadata
2f4e968 verified
metadata
license: mit
task_categories:
  - other
tags:
  - blockchain
  - mining
  - emissions
  - tokenomics
  - dimensional-pools
  - proof-of-work
  - np-complete
  - coinjecture
  - non-synthetic
  - empirical-data
  - network-metrics
size_categories:
  - n<1K

COINjecture Mining Emissions Dataset

Overview

This dataset contains comprehensive mining and emission data from all nodes in the COINjecture Network B. This is a non-synthetic, empirical dataset extracted directly from live production nodes.

Dataset Structure

The dataset contains JSONL files with mining emission records. Each record includes:

Core Mining Data

  • Block Height: Block number in the chain
  • Block Hash: Cryptographic hash of the block
  • Commitment Hash: Commitment hash (H(problem || salt || H(solution)))
  • Epoch Salt: Salt derived from parent block hash
  • Node: Source node IP address
  • Timestamp: Unix timestamp when block was mined

Emission Data

  • Block Reward: Total tokens rewarded for mining the block
  • Dimensional Distributions: Token distribution across 8 dimensional pools (D₁-D₈)
    • Tokens allocated per dimension
    • Percentage of total reward
    • Locked tokens (in dimensional pools)
    • Unlocked tokens (available)

Mining Metrics

  • Work Score: Computed work score for the block
  • Solve Time: Time taken to solve the NP-complete problem (microseconds)
  • Verify Time: Time taken to verify the solution (microseconds)
  • Nonce: Mining nonce value

Consensus State

  • Tau (τ): Dimensionless time progression (height / τ_c)
  • Consensus Magnitude (|ψ|): Magnitude of consensus state
  • Consensus Phase (θ): Phase angle of consensus state

Pool State

  • Total Locked: Sum of all locked tokens across dimensions
  • Total Unlocked: Sum of all unlocked tokens across dimensions

Dimensional Pool Distribution

Tokens are distributed across 8 dimensions according to exponential allocation ratios:

  • D₁: ~22.2% (Genesis pool)
  • D₂: ~19.2% (Coupling pool)
  • D₃: ~16.6% (First harmonic)
  • D₄: ~13.7% (Golden ratio pool)
  • D₅: ~11.1% (Half-scale)
  • D₆: ~8.5% (Second golden)
  • D₇: ~5.5% (Quarter-scale)
  • D₈: ~3.2% (Euler scale)

Data Provenance

  • Source: COINjecture Network B live nodes
  • Extraction Date: 2026-01-13
  • Version: v4.9.0
  • Schema Version: 1.0
  • Nodes: All active network nodes

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("COINjecture/MiningEmissions")

# Filter by node
node1_data = dataset.filter(lambda x: x["node"] == "167.172.221.42")

# Filter by height range
recent_blocks = dataset.filter(lambda x: x["block_height"] > 700)

# Analyze dimensional distributions
import pandas as pd
df = dataset["train"].to_pandas()
df["D1_tokens"] = df["dimensional_distributions"].apply(lambda x: x.get("D1", {}).get("tokens", 0))

License

MIT License - See LICENSE file in COINjecture repository

Citation

@dataset{coinjecture_mining_emissions,
  title={COINjecture Mining Emissions Dataset},
  author={COINjecture Network},
  year={2026},
  url={https://huggingface.co/datasets/COINjecture/MiningEmissions}
}

Contact

For issues or questions, please open an issue on the COINjecture GitHub repository.


Generated automatically from COINjecture Network B live nodes