Datasets:
block_hash string | block_height int64 | block_reward string | block_size_bytes int64 | bounty string | cpu_cores int64 | cpu_model string | cpu_threads int64 | data_version string | difficulty_target int64 | energy_asymmetry float64 | energy_efficiency float64 | energy_measurement_method string | energy_per_operation float64 | hash_rate_estimate float64 | measurement_confidence string | metrics_source string | mining_attempts int64 | node_version string | nonce int64 | os_info string | prev_block_hash string | problem_complexity float64 | problem_data dict | problem_id string | problem_type string | ram_total_bytes int64 | solution_data dict | solution_quality float64 | solve_energy_joules float64 | solve_time_us int64 | solver string | space_asymmetry float64 | status string | submission_mode string | submitter string | time_asymmetry float64 | timestamp int64 | total_energy_joules float64 | total_fees string | transaction_count int64 | verify_energy_joules float64 | verify_time_us int64 | work_score float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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} | 1 | 0.163231 | 1,633 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 40.410395 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1,633 | 1,764,444,192 | 0.163331 | 0 | 0 | 0.0001 | 1 | 136.901601 |
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} | 0.005495 | 0.000174 | 2 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1.414214 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 2 | 1,764,444,172 | 0.000261 | 0 | 0 | 0.000087 | 1 | 0.000164 |
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} | 0.003401 | 0.000248 | 3 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1.732051 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 3 | 1,764,444,182 | 0.00033 | 0 | 0 | 0.000083 | 1 | 0.000129 |
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} | 1 | 0.005929 | 60 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 7.745967 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 60 | 1,764,444,152 | 0.006028 | 0 | 0 | 0.000099 | 1 | 1.698092 |
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} | 1 | 0.014029 | 142 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 8.42615 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 71 | 1,764,444,162 | 0.014227 | 0 | 0 | 0.000198 | 2 | 4.007994 |
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} | 1 | 0.001308 | 14 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 3.741657 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 14 | 1,764,444,302 | 0.001401 | 0 | 0 | 0.000093 | 1 | 0.394717 |
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} | 1 | 0.003439 | 35 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 5.91608 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 35 | 1,764,444,332 | 0.003538 | 0 | 0 | 0.000098 | 1 | 0.996582 |
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} | 1 | 0.002427 | 25 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 5 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 25 | 1,764,444,362 | 0.002524 | 0 | 0 | 0.000097 | 1 | 0.71106 |
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} | 0.003802 | 0.000133 | 2 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1.414214 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 2 | 1,764,444,442 | 0.0002 | 0 | 0 | 0.000067 | 1 | 0.000087 |
00007745ecb2bc2bd8542d81c32cf6bd129707233192b08466fbf1789b2f07d9 | 489 | 1126 | 940 | 1126 | 1 | DO-Regular | 1 | v3.0 | 4 | 2 | 1 | Estimate | 0 | 36,997,500,000 | high | block_header_actual | 73,995 | 4.6.5 | 73,995 | Debian GNU/Linux 12 | 0000c910e9f5e97d7ddfb0d65f6c2583dc1f0f02e5140645c60e16facbaf6cf6 | 49 | {
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} | mining_block_489 | TSP | 1,008,308,224 | {
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} | 0.004651 | 0.000141 | 2 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1.414214 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 2 | 1,764,444,482 | 0.000212 | 0 | 0 | 0.000071 | 1 | 0.000113 |
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} | 0.004785 | 0.000239 | 3 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1.732051 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 3 | 1,764,444,492 | 0.000319 | 0 | 0 | 0.00008 | 1 | 0.000175 |
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} | 0.004831 | 0.000199 | 2 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1.414214 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 2 | 1,764,444,512 | 0.000299 | 0 | 0 | 0.0001 | 1 | 0.000165 |
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} | mining_block_486 | SubsetSum | 1,008,308,224 | {
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} | 1 | 0.141839 | 1,419 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 37.669616 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1,419 | 1,764,444,452 | 0.141939 | 0 | 0 | 0.0001 | 1 | 126.434865 |
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} | mining_block_497 | SubsetSum | 1,008,308,224 | {
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} | 1 | 0.195737 | 1,958 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 44.249294 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1,958 | 1,764,444,563 | 0.195837 | 0 | 0 | 0.0001 | 1 | 170.852909 |
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} | mining_block_499 | SubsetSum | 1,008,308,224 | {
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} | 1 | 0.172859 | 1,729 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 41.581246 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1,729 | 1,764,444,582 | 0.172959 | 0 | 0 | 0.0001 | 1 | 148.047202 |
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} | 1 | 0.127856 | 1,280 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 25.298221 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 640 | 1,764,444,592 | 0.128056 | 0 | 0 | 0.0002 | 2 | 111.696482 |
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} | 1 | 0.223693 | 2,237 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 47.296934 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 2,237 | 1,764,444,602 | 0.223793 | 0 | 0 | 0.0001 | 1 | 198.210543 |
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} | mining_block_502 | SubsetSum | 1,008,308,224 | {
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} | 1 | 0.188379 | 1,884 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 43.405069 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1,884 | 1,764,444,612 | 0.188479 | 0 | 0 | 0.0001 | 1 | 157.420949 |
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} | mining_block_496 | TSP | 1,008,308,224 | {
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} | 0.007092 | 0.00015 | 2 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1.414214 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 2 | 1,764,444,552 | 0.000225 | 0 | 0 | 0.000075 | 1 | 0.000183 |
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} | 1 | 0.015433 | 155 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 12.4499 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 155 | 1,764,444,542 | 0.015533 | 0 | 0 | 0.0001 | 1 | 4.375919 |
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} | 1 | 0.001369 | 14 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 3.741657 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 14 | 1,764,444,572 | 0.001467 | 0 | 0 | 0.000098 | 1 | 0.413367 |
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} | mining_block_529 | TSP | 1,008,308,224 | {
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} | 0.005 | 0.000136 | 2 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1.414214 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 2 | 1,764,444,882 | 0.000204 | 0 | 0 | 0.000068 | 1 | 0.000117 |
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} | 0.003165 | 0.000179 | 2 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1.414214 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 2 | 1,764,444,912 | 0.000268 | 0 | 0 | 0.000089 | 1 | 0.000097 |
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} | 1 | 0.157306 | 1,574 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 39.673669 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1,574 | 1,764,444,862 | 0.157406 | 0 | 0 | 0.0001 | 1 | 135.85477 |
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} | 1 | 0.21824 | 2,183 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 46.722586 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 2,183 | 1,764,444,932 | 0.21834 | 0 | 0 | 0.0001 | 1 | 188.851809 |
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} | 1 | 0.17949 | 1,795 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 42.36744 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1,795 | 1,764,444,962 | 0.17959 | 0 | 0 | 0.0001 | 1 | 157.126301 |
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} | 0.004902 | 0.00016 | 2 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1.414214 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 2 | 1,764,444,952 | 0.00024 | 0 | 0 | 0.00008 | 1 | 0.000134 |
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} | 0.003802 | 0.000141 | 2 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1.414214 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 2 | 1,764,444,972 | 0.000212 | 0 | 0 | 0.000071 | 1 | 0.000092 |
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} | 0.006369 | 0.000237 | 3 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 1.732051 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 3 | 1,764,445,012 | 0.000317 | 0 | 0 | 0.000079 | 1 | 0.000231 |
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} | 1 | 0.009157 | 92 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 9.591663 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 92 | 1,764,444,942 | 0.009256 | 0 | 0 | 0.0001 | 1 | 2.607679 |
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} | 1 | 0.006992 | 70 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 8.3666 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 70 | 1,764,444,992 | 0.007092 | 0 | 0 | 0.0001 | 1 | 1.997898 |
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} | 1 | 0.028155 | 282 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 16.792856 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 282 | 1,764,445,032 | 0.028255 | 0 | 0 | 0.0001 | 1 | 7.959897 |
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} | 1 | 0.046812 | 469 | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 21.656408 | Mined | mining | 9501251c1b2def795b471f6e0dff585fe49a9e33d1010f81ee0570ffa8663c26 | 469 | 1,764,445,072 | 0.046912 | 0 | 0 | 0.0001 | 1 | 13.215907 |
End of preview. Expand
in Data Studio
๐ฌ COINjecture NP Solutions Dataset v2
Institutional-Grade Blockchain Research Data
A comprehensive, real-time dataset of NP-complete problem solutions generated through Proof-of-Useful-Work (PoUW) blockchain consensus
Overview โข Data Schema โข Metrics Categories โข Usage โข Citation
๐ 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 |
| 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
๐ 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 |
๐ Metrics Categories
โฑ๏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 |
๐พ 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 |
๐ 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 |
๐ 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 |
๐ฐ 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 |
๐ฅ๏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 |
๐ท๏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) |
๐ฌ Problem Types
SAT (Boolean Satisfiability)
The canonical NP-complete problem. Given a Boolean formula in CNF, find a satisfying assignment or prove none exists.
{
"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.
{
"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.
{
"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
}
}
๐ Usage
Loading with Hugging Face Datasets
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
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
sat_problems = dataset["train"].filter(
lambda x: x["problem_type"] == "SAT"
)
print(f"SAT problems: {len(sat_problems)}")
Performance Analysis Example
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)
๐ 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 |
๐ 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 |
๐ P2P NETWORK |
|
๐ METRICS ENGINE |
๐ฏ DATA OUTPUT |
๐ฌ RESEARCH APPLICATIONS
| ๐ค Machine Learning | ๐ Performance Analysis | ๐ 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
๐ Citation
If you use this dataset in your research, please cite:
@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}
}
๐ License
This dataset is released under the MIT License. You are free to use, modify, and distribute this data for any purpose, including commercial applications.
๐ Related Resources
| Resource | Link |
|---|---|
| Legacy Dataset | COINjecture/NP_Solutions |
| Source Code | GitHub |
| Network Explorer | Coming Soon |
| Technical Whitepaper | Coming Soon |
๐ค Contributing
We welcome contributions to improve data quality and documentation. Please open an issue or pull request on our GitHub repository.
Built with ๐ by the COINjecture Network
Transforming computational waste into useful work
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