Quick Start · Overview · Tasks · Comparison · Dataset Stats · Data Sources · Pipeline · Schema · License · Citation This is the official MathNet v0. A larger version v1 will be uploaded soon (more countires, problems and richer metadata). Schema is stable but field values may be revised in v1. Quick start from datasets import load_dataset # Default: all problems ds = load_dataset("ShadenA/MathNet", split="train") # Or a specific country / competition-body config… See the full description on the dataset page: https://huggingface.co/datasets/ShadenA/MathNet.
Use this model
Pull with QuantumShield
quantumshield pull ShadenA/MathNet Verify integrity
quantumshield verify ShadenA/MathNet pip install
pip install quantumshield && quantumshield pull ShadenA/MathNet Unverified Model
This model has not been PQC-verified. File integrity cannot be guaranteed against quantum threats.
README.md
MathNet
Quick Start · Overview · Tasks · Comparison · Dataset Stats · Data Sources · Pipeline · Schema · License · Citation This is the official MathNet v0. A larger version v1 will be uploaded soon (more countires, problems and richer metadata). Schema is stable but field values may be revised in v1. Quick start from datasets import load_dataset # Default: all problems ds = load_dataset("ShadenA/MathNet", split="train") # Or a specific country / competition-body config… See the full description on the dataset page: https://huggingface.co/datasets/ShadenA/MathNet.
Intended Uses
This model is registered on the QuantaMrkt quantum-safe registry. This model has not yet been PQC-verified.
Quick Start
# Install the CLI pip install quantumshield # Pull the model quantumshield pull ShadenA/MathNet # Verify file integrity quantumshield verify ShadenA/MathNet
About
Quick Start · Overview · Tasks · Comparison · Dataset Stats · Data Sources · Pipeline · Schema · License · Citation This is the official MathNet v0. A larger version v1 will be uploaded soon (more countires, problems and richer metadata). Schema is stable but field values may be revised in v1. Quick start from datasets import load_dataset # Default: all problems ds = load_dataset("ShadenA/MathNet", split="train") # Or a specific country / competition-body config… See the full description on the dataset page: https://huggingface.co/datasets/ShadenA/MathNet.
Get this model
Pull with QuantumShield
quantumshield pull ShadenA/MathNet Verify signatures
quantumshield verify ShadenA/MathNet