wallet
Datasets
All datasets matching “wallet”polymarket-wallet-activity
Polymarket Wallet Trading Activity
Curated compressed JSONL wallet activity exports for selected Polymarket 5-minute crypto traders.
This update adds wallet_uuddlrlr and market_resolutions_master.json while preserving the existing repository contents.
Wallet Coverage
Wallet folder
Display
Wallet address
Latest returned activity
All records
Rebates
wallet_0xb27b
0xb27b
0xb27bc932bf8110d8f78e55da7d5f0497a18b5b82
2026-06-09T18:29:06+00:00
8,738,247
25,046… See the full description on the dataset page: https://huggingface.co/datasets/gude/polymarket-wallet-activity.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.wallet-eval-benchmark
Wallet tool-calling eval benchmark
The eval side of the wallet fine-tuning work: what the models are scored on.
The training rows are deliberately not published. These cases are held out from
them by construction, and that is the only reason a score here means anything. If you
train on this benchmark, say so — a number from a contaminated run is not comparable to
the ones below.
The model these cases were used to select is public:
ef-dai-team/gemma-4-E4B-wallet-ft-v5,
which… See the full description on the dataset page: https://huggingface.co/datasets/ef-ai/wallet-eval-benchmark.bitcoin-wallet-security-qa
Bitcoin Wallet Security Dataset
A high-quality question–answer dataset of 500 records focused on Bitcoin wallet
security, self-custody, backup and recovery planning, and common attack vectors. It is
built to train and evaluate AI systems that help people secure their Bitcoin — fine-tuning
LLMs, powering retrieval-augmented generation (RAG), security-focused assistants, and
educational chatbots.
Every record pairs a realistic security question with a detailed, self-contained… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/bitcoin-wallet-security-qa.adaption-defi-wallet-risk-classification
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-defi_wallet_risk_classification
This dataset contains prompt-completion pairs for classifying the 14-day risk outcomes of DeFi wallets on various EVM networks. Each entry provides behavioral features such as transaction counts, action ratios, and concentration metrics within a specific feature window to predict a binary risk label. The completions offer a concise justification for… See the full description on the dataset page: https://huggingface.co/datasets/samscript18/adaption-defi-wallet-risk-classification.adaption-defi-wallet-risk-classification-v1
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-defi_wallet_risk_classification
This dataset contains prompt-completion pairs for classifying the 14-day risk outcomes of DeFi wallets on various EVM networks based on behavioral features. Each sample provides wallet metrics such as transaction counts, action ratios, and concentration levels, followed by a binary risk label and a concise reasoning statement. The data is designed for… See the full description on the dataset page: https://huggingface.co/datasets/samscript18/adaption-defi-wallet-risk-classification-v1.