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Description
551 records across eight game categories, including Chess, Go, and Texas Hold'em, are designed to fine-tune large language models on complex strategic reasoning. The dataset, created by '3amthoughts', is heavily weighted towards hard difficulty, with 522 samples classified as hard. It was last updated on May 20, 2026.
Use Cases
Fine-tuning LLMs for strategic decision-making based on the described gaming contexts.
Evaluating model performance on logical reasoning tasks using the provided difficulty classifications.
Benchmarking AI agents in game-specific intelligence scenarios like Chess or Texas Hold'em.
Strengths
Contains 551 total samples for model training and evaluation.
Covers eight distinct game categories, including Chess, Go, and Texas Hold'em.
Provides difficulty labels, with 522 records classified as 'hard'.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
huggingface user '3amthoughts'
Freshness
Last updated 2026-05-20 22:05:10; freshness should be verified.
License is unknown; users should verify permissions before use.