datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bitcoin-wallet-recovery-faq
Bitcoin Wallet Recovery FAQ Dataset v1.0
A high-quality Question & Answer dataset focused exclusively on Bitcoin wallet recovery and self-custody best practices. It is designed for training, fine-tuning, and evaluating LLMs and retrieval-augmented generation (RAG) systems in the domain of bitcoin security, seed backup, device loss, and fund recovery.
Dataset Summary
Total records: 500
Language: English
Answer length: 150–300 words per record
Categories: 39… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/bitcoin-wallet-recovery-faq.bitcoin_price_timeseries
⚠️ نسخهٔ جایگزین
این مجموعهداده با روششناسیِ فعلیِ فرمانا بهروز نمیشود.
→ Farmaanaa/global_bitcoin_price_daily
فایلهای قبلی برای آرشیو در دسترس میمانند.
— farmaanaa.ir
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.bitcoin-price-explosion-qa
Bitcoin Price Explosion QA
A long-form, multi-hop question answering dataset about Bitcoin's historic surge past $100,000 following the 2024 US presidential election.
Dataset Description
This dataset contains 20 expert-curated causal reasoning questions grounded in 20 news articles covering Bitcoin's price explosion in late 2024. Each question requires synthesizing information from multiple source documents to produce a comprehensive answer, making it a challenging… See the full description on the dataset page: https://huggingface.co/datasets/jashparekh/bitcoin-price-explosion-qa.Bitcoin_synthetic_data
🧠 Bitcoin Synthetic Dataset Collection (AI-generated)
A collection of synthetic Bitcoin transaction datasets enriched with generative AI explanations.
🛠️ Topics
Whale Transactions
OP_RETURN rare patterns
Each transaction includes:
Fee, size, rarity score
Semantic AI-generated description
💡 Use Cases
Training predictive models of Bitcoin activity
Network and anomaly simulation
Financial behavior studies
Temporal analysis and outlier detection
📜License: CC… See the full description on the dataset page: https://huggingface.co/datasets/syn-data/Bitcoin_synthetic_data.bitcoin-transaction-classification
Bitcoin Transaction Classification Dataset (v1.0)
A synthetic, English-language dataset of 500 unique Bitcoin transactions labeled for
transaction-type and high-level classification. Each record pairs a realistic, human-readable
description with structured metadata (transaction type, classification label, features,
difficulty, explanatory text, keywords) intended for training, fine-tuning, and evaluating
transaction classifiers and Retrieval-Augmented Generation (RAG) assistants… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/bitcoin-transaction-classification.alpaca-bitcoin-sentiment-datasetBitcoin-Long-Term-Trend-and-Price-Prediction-Datasettags:
financial-forecasting
time-series
instruction-tuning
bitcoin
finance
license: apache-2.0
Bitcoin Long-Term Trend and Price Prediction Dataset
This dataset is designed for fine-tuning language models on a long-term Bitcoin forecasting task. The goal is to predict both the overall price trend (up, down, or no change) and the specific daily closing prices for the next 10 days, based on a comprehensive 60-day historical context.
The dataset provides a rich, multi-factor view for each… See the full description on the dataset page: https://huggingface.co/datasets/tahamajs/Bitcoin-Long-Term-Trend-and-Price-Prediction-Dataset.bitcoin-prediction-context-dataset_short_term_10_more_for_each_datetags:
financial-forecasting
time-series
instruction-tuning
bitcoin
finance
license: apache-2.0
Granular Short-Term Bitcoin Price Prediction Dataset
This dataset is designed for fine-tuning language models on a highly granular, short-term Bitcoin price forecasting task. The goal is to predict the next 3 days of closing prices based on a 10-day price history and a detailed context of recent news, social media buzz, and wider market indicators.
The key feature of this dataset is its granularity.… See the full description on the dataset page: https://huggingface.co/datasets/tahamajs/bitcoin-prediction-context-dataset_short_term_10_more_for_each_date.bitcoin-anchored-ai-provenance
Bitcoin-Anchored AI Provenance Receipts
Status (July 2026): this corpus is from the protocol's v1 "chain" era and is kept as a historical artifact. Every row remains independently verifiable: the OpenTimestamps proofs are portable and check against Bitcoin with the stock ots client, and the verify_url endpoint is still live. The protocol's current architecture is a C2SP transparency log cosigned by independent witnesses (log.markovianprotocol.com, browser verification at… See the full description on the dataset page: https://huggingface.co/datasets/MarkovianProtocol/bitcoin-anchored-ai-provenance.bitcoin_dailybitcoin-sentiment-analysisbitcoin-news-articles-text-corporabitcoin-data-sentimentBitcoin_Wikipedia_Webscraper_Example
🌐 Web Scraper: Turn Any URL into AI-Ready Data
Convert any public web page into clean, structured JSON in one click. Just paste a URL and this tool scrapes, cleans, and formats the content—ready to be used in any AI or content pipeline.
Whether you're building datasets for LLMs or feeding fresh content into agents, this no-code tool makes it effortless to extract high-quality data from the web.
✨ Key Features
⚡ Scrape Any Public Page – Works on blogs, websites, docs… See the full description on the dataset page: https://huggingface.co/datasets/Gopher-Lab/Bitcoin_Wikipedia_Webscraper_Example.bitcoin-qa
Bitcoin Q&A Dataset
A dataset of 500 unique question-and-answer pairs focused exclusively on Bitcoin, designed for
fine-tuning language models, building retrieval-augmented generation (RAG) systems, and educational use.
Dataset Summary
Total records: 500
Language: English
Answer length: 120–300 words each (validated)
Categories: 42 Bitcoin-specific topics
Difficulty: Balanced across Beginner (169), Intermediate (196), and Advanced (135)
Schema: {id, question… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/bitcoin-qa.bitcoin_qa_datasetbitcoin-prediction-context-datasettags:
financial-forecasting
time-series
instruction-tuning
bitcoin
finance
license: apache-2.0
Bitcoin Price Prediction Instruction Dataset
This dataset is designed for fine-tuning language models to predict Bitcoin's daily closing prices. Each sample provides a rich context of historical market data, recent news, and social media sentiment, formatted into an instruction-based prompt structure. The goal is to train models that can understand and synthesize diverse data sources to make… See the full description on the dataset page: https://huggingface.co/datasets/tahamajs/bitcoin-prediction-context-dataset.bitcoin_newsbitcoinbitcoin-prediction-context-dataset_short_term_10bitcoinforecast_modelsbitcoin-prediction-context-dataset_short_termBITCOIN_TRANSACTION_DATASET_hnm
Summary Statistics:
Total Transactions: 10000
Total Blocks: 814
Average transactions per block: 12.29
Average block size: 1,230,289.07 bytes
Average transaction size: 375.74 bytes
Total transaction value: 5,762.40 BTC
Total fees: 0.21 BTC
bitcoin-forecaster