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01davidfoss /bitcoin-security-reasoning-100k Dataset Card for Bitcoin Security Reasoning 100K 100,000 high-quality synthetic training samples for fine-tuning LLMs on Bitcoin protocol security analysis. Teaches models to analyze vulnerability clusters, form security hypotheses, and generate differential testing code. Dataset Details Dataset Description This dataset contains structured security reasoning chains for Bitcoin protocol vulnerabilities. Each sample presents a cluster of causal… See the full description on the dataset page: https://huggingface.co/datasets/davidfoss/bitcoin-security-reasoning-100k.texttext-generation100K<n<1M0 likes63 downloads8mo agoHugging Face02contrapliant /BitcoinMaximalism Bitcoin Maximalism Benchmark Dataset Description The Bitcoin Maximalism Benchmark is designed to evaluate the understanding and expertise of language models (LLMs) in various dimensions related to Bitcoin. It spans a array of topics from “basedness” (ie anti-woke bias), Austrian Economics principles, Bitcoin technology and its distinctions from other cryptocurrencies, Bitcoin’s historical and cultural significance, and Bitcoin’s impact on society and the economy. This… See the full description on the dataset page: https://huggingface.co/datasets/contrapliant/BitcoinMaximalism.texttext-generationn<1K2 likes27 downloads2y agoHugging Face03tahamajs /bitcoin-investment-advisory-dataset Bitcoin Investment Advisory Training Dataset Dataset Description This dataset contains comprehensive Bitcoin investment advisory training data designed for fine-tuning large language models to provide institutional-grade cryptocurrency investment advice. The dataset consists of 2,437 high-quality instruction-input-output triplets covering Bitcoin market analysis from 2018-01-01 to 2024-12-31. Dataset Features Total Samples: 2,437 Date Range: 2018-01-01 to… See the full description on the dataset page: https://huggingface.co/datasets/tahamajs/bitcoin-investment-advisory-dataset.texttext-generation1K<n<10K1 likes20 downloads1y agoHugging Face

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