game-theory
GameTheory-Formulator
🎯 GameTheory-Formulator
1,215 real-world scenarios mapped to formal game theory models with step-by-step formulation, solution, and interpretation.
📋 Overview
GameTheory-Formulator is the Phase 3 dataset in the Alogotron Game Theory pipeline. While GameTheory-Bench teaches models to solve formal game theory problems, this dataset teaches them to formulate real-world strategic scenarios as formal games — the critical missing link between natural language… See the full description on the dataset page: https://huggingface.co/datasets/Alogotron/GameTheory-Formulator.GameTheory-Bench
🎲 GameTheory-Bench
The first comprehensive, RLVR-ready game theory dataset for LLM training and evaluation.
📋 Overview
GameTheory-Bench is a dataset of 2,913 computationally verified game theory problems spanning 10 categories and 35+ subcategories. Every problem includes a natural-language statement, a detailed step-by-step solution, a concise answer, and a machine-checkable verification object.
Why This Dataset?
Gap
GameTheory-Bench… See the full description on the dataset page: https://huggingface.co/datasets/Alogotron/GameTheory-Bench.game-theory-business-strategy
⚠️ DEPRECATED — Game Theory Business Strategy
This dataset has been superseded by GameTheory-Formulator, which contains 1,215 real-world scenarios across 6 domains (including 220 business scenarios) with full formulation steps, solutions, and interpretations.
Migration
Please use the newer, more comprehensive dataset:
from datasets import load_dataset
# New dataset (recommended)
ds = load_dataset("Alogotron/GameTheory-Formulator", split="train")
# Filter for… See the full description on the dataset page: https://huggingface.co/datasets/Alogotron/game-theory-business-strategy.game-theorygame-theory-adversarial-mcqgame-theory-io-v0.2