Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 91, in _split_generators
                  pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 193, in _generate_tables
                  examples = [ujson_loads(line) for line in batch.splitlines()]
                              ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Navokoj SAT 2024 Benchmark Results

Navokoj is a computational physics engine that tackles NP-complete business problems by treating constraints as energy fields, allowing for real-time optimization.

Navokoj uses non-commutative geometry and statistical mechanics to tackle SAT/Max-SAT problems. We achieve 92.57% perfect solutions on SAT 2024 industrial benchmarks. Results independently verifiable via API.

πŸš€ NitroSAT Engine (Open Source)

NitroSAT is the high-performance open-source sibling to the Navokoj engines.

This dataset contains performance results for 4,199 SAT benchmark problems (2024 industrial-track archive) tested across four engines.

πŸ† Head-to-Head Comparison

Engine Perfect Rate Quality (Avg Sat) Status Use Case
NitroSAT πŸ’₯ 76.60% (Global) 99.65% Apache 2.0 Mega-Scale / Research
Navokoj PRO πŸš€ 92.57% 99.92% Closed Source Mission-Critical
Navokoj MINI 🧠 31.37% 99.55% Managed Balanced
Navokoj NANO πŸͺΆ 3.24% 96.41% Managed Real-time

Note: NitroSAT performance is log-verified across 5,158 total instances, including "Huge" problems like the 512x512 multiplier (1.5M variables) which reached 99.9999% satisfaction.

Dataset fetched from https://zenodo.org/records/15125952

Quick census (2024 industrial track)

IBM_CKT_*          1 018 files
Intel_FPGA_*       1 374 files
NVIDIA_GPU_*         761 files
Huawei_BMC_*         846 files
Open-Silicon_*       200 files

All results are publically verifiable through the API at https://navokoj.shunyabar.foo/docs/

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πŸ” Log-Verified Performance Audit (2026)

A deep audit of the NitroSAT engine reveals it operates in a unique category for enterprise-scale problems:

  • NitroSAT Wins: NITRO beat the Navokoj Pro engine on 281 specific industrial instances.
  • The "Mega-Scale" Advantage: NitroSAT is solving problems that generic solvers cannot even load.
    • Multiplier 512x512: NitroSAT handled a monster instance with 1.56 Million variables and 5.2 Million clauses, reaching 99.9999% satisfaction (only 3 clauses left unsatisfied).
  • Corrected Perfect SAT: Across its global history, NitroSAT has achieved 100% Perfect SAT on 3,202 instances (Verified via execution logs).

Dataset Overview

  • Total Problems: 4,199 SAT instances
  • Test Date: December 2, 2025
  • NitroSAT Audit Date: March 12, 2026

File Structure

The repository contains result files for the cloud engines and local solvers:

  • nano_engine_all_files_comprehensive.json - Complete results from Nano engine
  • mini_engine_all_files_comprehensive.json - Complete results from Mini engine
  • pro_engine_all_files_comprehensive.json - Complete results from Pro engine
  • sol.zip - Verified NitroSAT (.sol) execution logs for all instances

Methodology

All engines were tested on the same set of 4,199 SAT benchmark problems using identical batch processing. Results for NitroSAT are extracted directly from the execution log SAT lines (sat=X/Y (%)) to ensure accuracy over discrete search passes.


NitroSAT is accessible at sethuiyer/NitroSAT. The Navokoj Pro engine remains closed-source proprietary technology.

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