datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
achilles-web3-trainingweb3_intents_to_ethereum_transactions
Natural Language Web3 Intents to Ethereum Transactions
This dataset contains instruction-following examples for mapping natural language Web3 intents to executable Ethereum transaction plans. Every transaction is decoded from a successful Ethereum mainnet call (March 2025 – January 2026); every intent is either written by humans or generated by an LLM from the decoded transaction.
It is organized into two JSONL splits:
single_step: one user intent mapped to one on-chain action… See the full description on the dataset page: https://huggingface.co/datasets/Intent2Tx/web3_intents_to_ethereum_transactions.web3-qa-datasetweb3-llm-instructions
web3-llm-instructions
Description
web3-llm-instructions is an instruction-following dataset focused on Web3, blockchain, and cryptocurrency concepts.
The dataset is designed for fine-tuning large language models (LLMs) to understand and generate responses about Web3 topics such as DeFi, NFTs, DAOs, smart contracts, and blockchain infrastructure.
Dataset Structure
Each record contains the following fields:
instruction: the task or question
input: optional… See the full description on the dataset page: https://huggingface.co/datasets/YosepMulia/web3-llm-instructions.web3cryptoOnlineresearch
Computational STEM QA Dataset
Dataset Summary
This dataset contains computationally intensive, self-contained, and unambiguous STEM reasoning problems across Physics, Mathematics, Biology, and Chemistry.
Problems require multi-step reasoning, symbolic manipulation, numerical accuracy, or simulation-based verification. These tasks expose failure modes in state-of-the-art LLMs, making this dataset a strong benchmark for evaluating deep reasoning.
Each example includes:… See the full description on the dataset page: https://huggingface.co/datasets/Web3Survivor/Onlineresearch.web3crypto.aiindonesian-web3-instruction-50
Indonesian Web3 Instruction Dataset (50 Samples)
This dataset contains 50 Indonesian-language instruction and question–answer pairs focused on Web3, crypto, and blockchain topics.
Use cases
Instruction fine-tuning
Indonesian language modeling
Crypto and Web3 education
Format
JSON Lines with:
instruction
response
anode-web3-adversarial-v1