--- license: mit task_categories: - other tags: - blockchain - proof-of-useful-work - np-complete - computational-complexity - consensus - cryptography - distributed-systems - research pretty_name: COINjecture NP Solutions v2 size_categories: - 1K # ๐Ÿ”ฌ COINjecture NP Solutions Dataset v2 ### Institutional-Grade Blockchain Research Data [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Data Version](https://img.shields.io/badge/Data%20Version-v3.0-blue.svg)](#data-versioning) [![Update Frequency](https://img.shields.io/badge/Updates-Real--time-green.svg)](#update-frequency) **A comprehensive, real-time dataset of NP-complete problem solutions generated through Proof-of-Useful-Work (PoUW) blockchain consensus** [Overview](#-overview) โ€ข [Data Schema](#-data-schema) โ€ข [Metrics Categories](#-metrics-categories) โ€ข [Usage](#-usage) โ€ข [Citation](#-citation) --- ## ๐Ÿ“‹ Overview This dataset contains **institutional-grade metrics** from the COINjecture Network B blockchain, which implements a novel **Proof-of-Useful-Work (PoUW)** consensus mechanism. Unlike traditional Proof-of-Work systems that compute arbitrary hashes, COINjecture miners solve genuine NP-complete computational problems, producing verifiable solutions with real-world applicability. ### Key Characteristics | Property | Value | |----------|-------| | **Network** | COINjecture Network B (Fresh Genesis) | | **Genesis Hash** | `4a80254b4a48e867b57399469b0a1fbaba8848e8ac738587b55ebf6e6b8c4b23` | | **Data Version** | v3.0 (Institutional Grade) | | **Problem Types** | SAT, SubsetSum, TSP | | **Update Frequency** | Every ~10 blocks (~10 seconds) | | **Metrics Per Record** | 54+ fields | | **Format** | JSON Lines (`.jsonl`) | ### Research Applications - **Computational Complexity**: Empirical analysis of NP-complete problem hardness - **Algorithm Performance**: Solve/verify time distributions across problem types - **Distributed Systems**: Consensus metrics and network propagation analysis - **Energy Research**: Computational efficiency and resource utilization studies - **Cryptographic Analysis**: Hash function behavior and difficulty adjustment --- ## ๐Ÿ“Š Data Schema Each record represents a block in the COINjecture blockchain containing a solved NP-complete problem instance. ### Core Fields | Field | Type | Description | |-------|------|-------------| | `block_height` | `uint64` | Sequential block number in the canonical chain | | `block_hash` | `string` | SHA-256 hash of the block header (hex-encoded) | | `prev_block_hash` | `string` | Hash of the parent block (enables chain traversal) | | `timestamp` | `string` | ISO 8601 timestamp of block creation | | `problem_type` | `string` | NP-complete problem class: `SAT`, `SubsetSum`, or `TSP` | ### Problem Instance Fields | Field | Type | Description | |-------|------|-------------| | `problem_instance` | `object` | Serialized problem definition (varies by type) | | `solution` | `object` | Verified solution to the problem instance | | `problem_size` | `uint32` | Instance complexity metric (variables, nodes, etc.) | | `is_satisfiable` | `boolean` | For SAT: whether a satisfying assignment exists | --- ## ๐Ÿ“ˆ Metrics Categories ### โฑ๏ธ Timing Metrics (Microsecond Precision) High-resolution timing data for performance analysis: | Field | Type | Unit | Description | |-------|------|------|-------------| | `solve_time_us` | `uint64` | ฮผs | Time to find the solution | | `verify_time_us` | `uint64` | ฮผs | Time to verify solution correctness | | `block_time_seconds` | `float64` | s | Total block production time | | `mining_attempts` | `uint64` | count | Hash attempts before valid block found | ### ๐Ÿ’พ Memory Metrics Resource utilization during computation: | Field | Type | Unit | Description | |-------|------|------|-------------| | `solve_memory_bytes` | `uint64` | bytes | Peak memory during solve phase | | `verify_memory_bytes` | `uint64` | bytes | Peak memory during verification | | `peak_memory_bytes` | `uint64` | bytes | Maximum memory allocation | ### ๐ŸŒ Network Metrics Distributed system behavior: | Field | Type | Unit | Description | |-------|------|------|-------------| | `peer_count` | `uint32` | count | Connected peers at block time | | `propagation_time_ms` | `uint64` | ms | Block propagation latency | | `sync_lag_blocks` | `int64` | blocks | Distance from network tip | ### โ›๏ธ Mining Metrics Consensus and difficulty data: | Field | Type | Description | |-------|------|-------------| | `difficulty_target` | `string` | Current difficulty target (hex) | | `nonce` | `uint64` | Winning nonce value | | `hash_rate_estimate` | `float64` | Estimated network hash rate (H/s) | | `mined_locally` | `boolean` | Whether this node mined the block | ### ๐Ÿ”— Chain Metrics Blockchain state information: | Field | Type | Description | |-------|------|-------------| | `chain_work` | `string` | Cumulative proof-of-work score | | `transaction_count` | `uint32` | Transactions in block | | `block_size_bytes` | `uint64` | Serialized block size | ### ๐Ÿ’ฐ Economic Metrics Token economics data: | Field | Type | Unit | Description | |-------|------|------|-------------| | `block_reward` | `uint64` | tokens | Mining reward for this block | | `total_fees` | `uint64` | tokens | Transaction fees collected | ### ๐Ÿ–ฅ๏ธ Hardware Context Node environment information for reproducibility: | Field | Type | Description | |-------|------|-------------| | `cpu_model` | `string` | Processor model identifier | | `cpu_cores` | `uint32` | Physical CPU cores | | `cpu_threads` | `uint32` | Logical CPU threads | | `ram_total_bytes` | `uint64` | Total system RAM | | `os_info` | `string` | Operating system details | ### ๐Ÿท๏ธ Provenance Metadata Data lineage and quality indicators: | Field | Type | Description | |-------|------|-------------| | `node_version` | `string` | Software version that produced this record | | `node_id` | `string` | Unique node identifier (anonymized) | | `data_version` | `string` | Schema version (currently `v3.0`) | | `measurement_confidence` | `float64` | Data quality score (0.0-1.0) | --- ## ๐Ÿ”ฌ Problem Types ### SAT (Boolean Satisfiability) The canonical NP-complete problem. Given a Boolean formula in CNF, find a satisfying assignment or prove none exists. ```json { "problem_type": "SAT", "problem_instance": { "num_variables": 50, "num_clauses": 215, "clauses": [[1, -3, 5], [-2, 4], ...] }, "solution": { "satisfiable": true, "assignment": [true, false, true, ...] } } ``` ### SubsetSum Given a set of integers and a target sum, find a subset that sums to the target. ```json { "problem_type": "SubsetSum", "problem_instance": { "set": [3, 7, 1, 8, -2, 4], "target": 12 }, "solution": { "subset_indices": [1, 3, 5] } } ``` ### TSP (Traveling Salesman Problem) Find the shortest Hamiltonian cycle through all vertices in a weighted graph. ```json { "problem_type": "TSP", "problem_instance": { "num_cities": 20, "distances": [[0, 10, 15], [10, 0, 20], ...] }, "solution": { "tour": [0, 3, 1, 4, 2, 0], "total_distance": 97 } } ``` --- ## ๐Ÿ“– Usage ### Loading with Hugging Face Datasets ```python from datasets import load_dataset # Load the complete dataset dataset = load_dataset("COINjecture/NP_Solutions_v2") # Access records for record in dataset["train"]: print(f"Block {record['block_height']}: {record['problem_type']}") print(f" Solve time: {record['solve_time_us']}ฮผs") print(f" CPU: {record['cpu_model']}") ``` ### Loading Raw JSONL ```python import json from pathlib import Path records = [] for jsonl_file in Path("data").glob("*.jsonl"): with open(jsonl_file) as f: for line in f: records.append(json.loads(line)) print(f"Loaded {len(records)} records") ``` ### Filtering by Problem Type ```python sat_problems = dataset["train"].filter( lambda x: x["problem_type"] == "SAT" ) print(f"SAT problems: {len(sat_problems)}") ``` ### Performance Analysis Example ```python import pandas as pd # Convert to DataFrame for analysis df = pd.DataFrame(dataset["train"]) # Analyze solve times by problem type stats = df.groupby("problem_type")["solve_time_us"].agg(["mean", "std", "min", "max"]) print(stats) # Hardware comparison hardware_stats = df.groupby("cpu_model")["solve_time_us"].mean() print(hardware_stats) ``` --- ## ๐Ÿ“Š Data Quality ### Verification Standards All data in this dataset meets the following quality criteria: | Standard | Description | |----------|-------------| | **Cryptographic Integrity** | Every block hash is verified against the chain | | **Solution Validity** | All NP-complete solutions are independently verified | | **Timing Accuracy** | Microsecond-precision timestamps from monotonic clocks | | **Hardware Attribution** | Full system context for reproducibility | | **Chain Continuity** | `prev_block_hash` enables complete chain reconstruction | ### Data Versioning | Version | Release | Changes | |---------|---------|---------| | **v3.0** | Nov 2024 | Institutional-grade: 54+ fields, hardware context, chain linkage | | v2.0 | Oct 2024 | Added timing metrics, energy estimates | | v1.0 | Sep 2024 | Initial release: basic problem/solution data | --- ## ๐Ÿ”„ Update Frequency This dataset receives **real-time updates** approximately every 10 blocks (~10 seconds of blockchain time). New JSONL files are appended as blocks are mined on the COINjecture Network B. ### Data Pipeline Architecture
**โ›“๏ธ CONSENSUS LAYER** ``` ๐ŸŒฑ Genesis (Block 0) โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ–ผ โ–ผ โ–ผ ๐ŸงฎSAT ๐Ÿ“ŠSum ๐Ÿ—บ๏ธTSP โ”‚ โ”‚ โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ โ–ผ ``` **๐ŸŒ P2P NETWORK** ``` ๐Ÿ“ก Node 1 โ—„โ”€โ”€โ”€โ”€โ–บ ๐Ÿ“ก Node 2 โ”‚ โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ–ผ ๐Ÿ’ฌ Gossipsub โ”‚ โ–ผ ```
**๐Ÿ“ˆ METRICS ENGINE** ``` โฑ๏ธTiming ๐Ÿ’พMemory ๐Ÿ–ฅ๏ธHardware ๐ŸŒNetwork โ”‚ โ”‚ โ”‚ โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ 54+ metrics/block โ”‚ โ–ผ ``` **๐ŸŽฏ DATA OUTPUT** ``` ๐Ÿ“ฆ Buffer (10 blocks) โ”‚ every ~10 seconds โ”‚ โ–ผ ๐Ÿค— HuggingFace v2 โ”‚ โ–ผ ๐Ÿ”Œ Datasets API ```
**๐Ÿ”ฌ RESEARCH APPLICATIONS** | ๐Ÿค– Machine Learning | ๐Ÿ“Š Performance Analysis | ๐Ÿ” Cryptography Research | |:-------------------:|:-----------------------:|:------------------------:| | Training data | Solve time analysis | Hash function studies | | Benchmarking | Hardware comparisons | Difficulty research | --- *Data flows from NP-complete problem solving โ†’ metrics collection โ†’ real-time research availability*
--- ## ๐Ÿ“œ Citation If you use this dataset in your research, please cite: ```bibtex @dataset{coinjecture_np_solutions_v2, title={COINjecture NP Solutions Dataset v2}, author={{COINjecture Network Contributors}}, year={2024}, publisher={Hugging Face}, url={https://huggingface.co/datasets/COINjecture/NP_Solutions_v2}, note={Institutional-grade blockchain research data from Proof-of-Useful-Work consensus} } ``` --- ## ๐Ÿ“„ License This dataset is released under the [MIT License](https://opensource.org/licenses/MIT). You are free to use, modify, and distribute this data for any purpose, including commercial applications. --- ## ๐Ÿ”— Related Resources | Resource | Link | |----------|------| | **Legacy Dataset** | [COINjecture/NP_Solutions](https://huggingface.co/datasets/COINjecture/NP_Solutions) | | **Source Code** | [GitHub](https://github.com/COINjecture) | | **Network Explorer** | Coming Soon | | **Technical Whitepaper** | Coming Soon | --- ## ๐Ÿค Contributing We welcome contributions to improve data quality and documentation. Please open an issue or pull request on our GitHub repository. ---
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