TSP_Solutions / README.md
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metadata
license: mit
task_categories:
  - other
language:
  - en
tags:
  - tsp
  - traveling-salesman
  - np-hard
  - blockchain
  - proof-of-work
size_categories:
  - n<1K

COINjecture/TSP_Solutions

Dataset Description

Traveling Salesman Problem solutions from the COINjecture Network B blockchain.

TSP problem instances and solutions from COINjecture Network B blockchain mining

This dataset contains real-world computational problem instances and their solutions that were generated and validated through blockchain consensus using Proof-of-Useful-Work (PoUW).

Dataset Structure

Schema

Each record contains:

  • problem_id: Unique identifier for the problem instance
  • problem_type: "TSP"
  • problem_data: TSP problem specification
    • cities: Number of cities
    • distances: Distance matrix between cities
  • solution_data: TSP solution (tour)
    • tour: Ordered list of city indices representing the tour
  • problem_complexity: Difficulty weight of the problem
  • bounty: Token reward for solving (in smallest unit)
  • time_asymmetry: Ratio of solve time to verify time
  • space_asymmetry: Ratio of solve memory to verify memory
  • solve_energy_joules: Energy consumed during solution
  • verify_energy_joules: Energy consumed during verification
  • total_energy_joules: Total energy consumed
  • energy_asymmetry: Ratio of solve energy to verify energy
  • work_score: Computed work score based on asymmetries
  • block_height: Blockchain height where solution was accepted
  • timestamp: Unix timestamp of solution
  • status: Problem status (Mined, Validated, etc.)
  • energy_measurement_method: Method used for energy measurement
  • submission_mode: How problem was submitted (mining, public, private)

Data Fields

All records include comprehensive metrics:

  • Asymmetry Metrics: Time, space, and energy asymmetries between solving and verification
  • Energy Measurements: Detailed energy consumption during computation
  • Work Scores: Blockchain consensus work scores based on computational asymmetries
  • Blockchain Metadata: Block height, timestamps, miner addresses

Data Splits

This is a continuously growing dataset with new solutions added as they are mined on the blockchain.

Dataset Creation

Source Data

Solutions are generated through the COINjecture Network B blockchain's mining process, where miners solve NP-hard problems to mine blocks.

Energy Measurement

Energy measurements use platform-specific methods:

  • Linux: RAPL (Running Average Power Limit) interface
  • macOS: powermetrics
  • Fallback: CPU TDP-based estimation

Considerations for Using the Data

Bias and Limitations

  • Problem difficulty varies based on blockchain difficulty adjustment
  • Energy measurements may use estimation on platforms without hardware monitoring
  • Solutions represent successfully mined blocks only (failed attempts not recorded)

Additional Information

Dataset Curators

COINjecture Network B - Autonomous blockchain dataset generation

Licensing

MIT License

Citation

@misc{coinjecture_netb_tsp,
  author = {COINjecture Network B},
  title = {Traveling Salesman Problem Solutions from Proof-of-Useful-Work Blockchain},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/COINjecture/TSP_Solutions}
}

Contact

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


Generated automatically by COINjecture Network B blockchain nodes