datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ethereum-gas-estimator-accuracy
Ethereum gas estimator comparisons
Ethereum mainnet gas suggestions from public RPC providers, recorded alongside provider-reported head blocks and subsequent block-fee statistics. The panel supports analysis of differences in gas recommendations and their relationship to observed block conditions.
Contents
Table
Record
ethereum_gas_recommendations
A provider's gas-price and priority-fee suggestions, with its reported head block
ethereum_block_fees
A… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/ethereum-gas-estimator-accuracy.ethereum-attestation-pool
Ethereum attestation pool
Slot-level observations comparing attestations visible in a consensus client's pending pool with attestations subsequently included in blocks. The panel supports analysis of local pool coverage and inclusion counts.
Contents
Table
Record
ethereum_attestation_observations
Attester-slot counts observed pending and included, with their difference and collection coverage
Using the data
attesters_seen_in_pool… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/ethereum-attestation-pool.ethereum-mempool
Ethereum mempool observations
Ethereum pending-transaction activity, lifecycle observations and comparisons between provider views. The continuing panels contain minute-level summaries, transactions classified as dropped and differences between observed pending sets.
Contents
Table
Record
ethereum_mempool_minute_summary
A minute of pending-transaction activity
ethereum_dropped_transactions
A transaction classified as dropped during observation… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/ethereum-mempool.Transactions-Ethereum-Cryptocurrency-Data
Transactions-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB transactions (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("RBudzynski/Transactions-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2015-08 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
block_number
int64
tx_index
int32
tx_hash… See the full description on the dataset page: https://huggingface.co/datasets/RBudzynski/Transactions-Ethereum-Cryptocurrency-Data.Logs-Ethereum-Cryptocurrency-Data
Logs-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB logs (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("RBudzynski/Logs-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2015-08 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
block_number
int64
tx_index
int32
log_index
int32… See the full description on the dataset page: https://huggingface.co/datasets/RBudzynski/Logs-Ethereum-Cryptocurrency-Data.Token-To-Token-Prices-OHLC-Ethereum-Cryptocurrency-Data
Token-To-Token-Prices-OHLC-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB token_to_token_prices_ohlc (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("BlockDB/Token-To-Token-Prices-OHLC-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2015-08 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/Token-To-Token-Prices-OHLC-Ethereum-Cryptocurrency-Data.Token-To-Token-VWAP-Ethereum-Cryptocurrency-Data
Token-To-Token-VWAP-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB token_to_token_vwap (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("BlockDB/Token-To-Token-VWAP-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2015-08 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
bucket_start
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/Token-To-Token-VWAP-Ethereum-Cryptocurrency-Data.CryptoLM-Ethereum-ETH-USDT
ETH Price Dataset with Technical Indicators
Welcome to the ETH / USDT Price Dataset with Technical Indicators, hosted by the WinkingFace Team. This dataset is designed to provide comprehensive historical data on Ethereum prices along with a variety of technical indicators to aid in cryptocurrency trading analysis and research. The dataset is updated every 3 minutes (delayed 1 minute).
Dataset Description
This dataset includes the following columns:
timestamp: The date… See the full description on the dataset page: https://huggingface.co/datasets/WinkingFace/CryptoLM-Ethereum-ETH-USDT.Token-To-Token-Cross-Pool-VWAP-Ethereum-Cryptocurrency-Data
Token-To-Token-Cross-Pool-VWAP-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB token_to_token_cross_pool_vwap (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("BlockDB/Token-To-Token-Cross-Pool-VWAP-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2015-08 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/Token-To-Token-Cross-Pool-VWAP-Ethereum-Cryptocurrency-Data.ERC20-Tokens-Ethereum-Cryptocurrency-Data
ERC20-Tokens-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB erc20_tokens (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("BlockDB/ERC20-Tokens-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2023-08 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
block_number
int64
tx_index
int32
contract_id… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/ERC20-Tokens-Ethereum-Cryptocurrency-Data.Token-To-Token-Prices-Swap-Prints-Ethereum-Cryptocurrency-Data
Token-To-Token-Prices-Swap-Prints-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB token_to_token_prices_swap_prints (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("BlockDB/Token-To-Token-Prices-Swap-Prints-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2020-05 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/Token-To-Token-Prices-Swap-Prints-Ethereum-Cryptocurrency-Data.Token-To-Fiat-VWAP-Ethereum-Cryptocurrency-Data
Token-To-Fiat-VWAP-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB token_to_fiat_vwap (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("BlockDB/Token-To-Fiat-VWAP-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2015-08 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
bucket_start
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/Token-To-Fiat-VWAP-Ethereum-Cryptocurrency-Data.Liquidity-Pools-Reserves-Ethereum-Cryptocurrency-Data
Liquidity-Pools-Reserves-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB liquidity_pools_reserves (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("BlockDB/Liquidity-Pools-Reserves-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2023-05 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
block_number… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/Liquidity-Pools-Reserves-Ethereum-Cryptocurrency-Data.ERC721-Tokens-Ethereum-Cryptocurrency-Data
ERC721-Tokens-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB erc721_tokens (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("BlockDB/ERC721-Tokens-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2023-08 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
block_number
int64
tx_index
int32… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/ERC721-Tokens-Ethereum-Cryptocurrency-Data.ERC1155-Tokens-Ethereum-Cryptocurrency-Data
ERC1155-Tokens-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB erc1155_tokens (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("BlockDB/ERC1155-Tokens-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2015-08 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
block_number
int64
tx_index
int32… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/ERC1155-Tokens-Ethereum-Cryptocurrency-Data.Liquidity-Pools-Swap-Fees-Ethereum-Cryptocurrency-Data
Liquidity-Pools-Swap-Fees-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB liquidity_pools_swap_fees (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("BlockDB/Liquidity-Pools-Swap-Fees-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2020-05 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/Liquidity-Pools-Swap-Fees-Ethereum-Cryptocurrency-Data.Liquidity-Pools-TVL-USD-Ethereum-Cryptocurrency-Data
Liquidity-Pools-TVL-USD-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB liquidity_pools_tvl_usd (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("BlockDB/Liquidity-Pools-TVL-USD-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2025-01 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
block_number… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/Liquidity-Pools-TVL-USD-Ethereum-Cryptocurrency-Data.Liquidity-Pools-Fee-Terms-Ethereum-Cryptocurrency-Data
Liquidity-Pools-Fee-Terms-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB liquidity_pools_fee_terms (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("BlockDB/Liquidity-Pools-Fee-Terms-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2020-05 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/Liquidity-Pools-Fee-Terms-Ethereum-Cryptocurrency-Data.ethereum_fraud_dataset_by_activity
🕸 Ethereum Address Behavior Dataset — GNN + LSTM (Fraud Detection)
This dataset is designed for fraud detection on Ethereum addresses using a dual-modality approach:
Graph Neural Networks (GNN): transaction graph structure.
Recurrent Models (LSTM/Transformers): time-series of address features.
The dataset is built from:
Ethereum public BigQuery dataset (bigquery-public-data.crypto_ethereum.transactions).
Etherscan labels + custom scam labels.
Balanced address list of ~115k… See the full description on the dataset page: https://huggingface.co/datasets/fesevu/ethereum_fraud_dataset_by_activity.Liquidity-Pools-Ethereum-Cryptocurrency-Data
Liquidity-Pools-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB liquidity_pools (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("BlockDB/Liquidity-Pools-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2020-05 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
block_number
int64
tx_index
int32… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/Liquidity-Pools-Ethereum-Cryptocurrency-Data.Ethereum_blockchain_parquet
Data source
The blockchain data was extracted into parquet files using the Rust-based
cryo tool in combination with the web3 API
provided by Ankr. Note that an account needs to be
created even if you intend to make use of the limited capabilities under the freemium
pricing model.
Sample command for using cryo is shown below. It can take long (~ 2 hours) to complete
since we need to stay below the rate limit of 30 reqs/min. Also, we are fetching every
25th block, which means the data… See the full description on the dataset page: https://huggingface.co/datasets/vnegi10/Ethereum_blockchain_parquet.ETH-and-ERC20-Transfers-Ethereum-Cryptocurrency-Data
ETH and ERC-20 Transfers — Ethereum Cryptocurrency Data
Native ETH (transaction and internal), plus all ERC-20 transfers on Ethereum mainnet.
Chain
Ethereum mainnet (chain_id 1)
Coverage
2015-08 → 2025-10 (UTC, by block_timestamp)
Transfer types
0 native tx, 1 native internal, 2 ERC-20
Format
Parquet, Hive partitions data/year=YYYY/month=MM/
Source
BlockDB blockdb0304_token_transfers_v1
Schema
Token Transfers — data catalog
Files
data/… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/ETH-and-ERC20-Transfers-Ethereum-Cryptocurrency-Data.ethereum-tick-level-trade-data-free-sample
Ethereum Tick-Level Trade Data — Free 1-Week Sample
Free sample of tick-level trade data for ETH/USDT, covering February 19–26, 2025.
This is a 1-week excerpt from a fully audited historical dataset, part of The Glitch List — a data engineering lab based in Barcelona producing institutional-grade crypto trade datasets.
Dataset Summary
Rows in this sample: 25,552,490 (verified)
Format: Apache Parquet (ZSTD compressed)
Period: February 19–26, 2025… See the full description on the dataset page: https://huggingface.co/datasets/jalvart/ethereum-tick-level-trade-data-free-sample.Contracts-Ethereum-Cryptocurrency-Data
Contracts-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB contracts (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("RBudzynski/Contracts-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2015-08 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
block_number
int64
tx_index
int32
trace_address… See the full description on the dataset page: https://huggingface.co/datasets/RBudzynski/Contracts-Ethereum-Cryptocurrency-Data.Blocks-Ethereum-Cryptocurrency-Data
Blocks-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB blocks (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("RBudzynski/Blocks-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2023-08 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
block_number
int64
block_hash
string
parent_block_hash
string… See the full description on the dataset page: https://huggingface.co/datasets/RBudzynski/Blocks-Ethereum-Cryptocurrency-Data.DeFi-Protocol-Data-on-Ethereum-2023-2024Decentralized finance (DeFi) has emerged as a significant sector within the blockchain and cryptocurrency space. DeFi protocols enable users to access financial services without traditional intermediaries, offering a wide range of applications such as lending, borrowing, trading, and yield farming. Understanding user behavior, protocol interactions, and market trends is crucial for analyzing the DeFi ecosystem's dynamics and identifying opportunities for innovation and growth.
About… See the full description on the dataset page: https://huggingface.co/datasets/mriusero/DeFi-Protocol-Data-on-Ethereum-2023-2024.ethereum-signals-sample
Ethereum On-Chain Signals - Free Sample
10,000 decoded on-chain events from Ethereum Sepolia testnet, extracted directly from the P2P network using Fused Semantic Execution (FSE) - a zero-RPC, zero-full-node signal extraction engine.
This is a free sample. The full dataset covers 76M+ signals across 12M+ blocks on Sepolia alone. Mainnet extraction is underway (genesis-to-tip). Full datasets available at deltazerolabs.dev.
What's In This Sample
Signal Type… See the full description on the dataset page: https://huggingface.co/datasets/MikeKuykendall/ethereum-signals-sample.Internal-Transactions-Ethereum-Cryptocurrency-Data
Internal-Transactions-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB internal_transactions (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("RBudzynski/Internal-Transactions-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2026-07 .. 2026-07 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
block_number
int64… See the full description on the dataset page: https://huggingface.co/datasets/RBudzynski/Internal-Transactions-Ethereum-Cryptocurrency-Data.Flash-Loan-Prints-Ethereum-Cryptocurrency-Data
Flash-Loan-Prints-Ethereum-Cryptocurrency-Data
Hive-partitioned Parquet export of BlockDB flash_loan_prints (Ethereum).
Load
from datasets import load_dataset
ds = load_dataset("BlockDB/Flash-Loan-Prints-Ethereum-Cryptocurrency-Data", split="train")
Files live under data/year=YYYY/month=MM/part-NNNN.parquet.
Range: 2020-05 .. 2026-06 (UTC calendar months).
Schema
column
type
block_timestamp
timestamp
block_number
int64
tx_index
int32… See the full description on the dataset page: https://huggingface.co/datasets/BlockDB/Flash-Loan-Prints-Ethereum-Cryptocurrency-Data.ethereum-smart-contract-security-qa
Ethereum Smart Contract Security Dataset
A high-quality question–answer dataset of 100 records focused exclusively on Ethereum
smart contract security. It is built to train and evaluate AI systems that explain, identify,
classify, and mitigate the most common Ethereum smart contract vulnerabilities — LLM
fine-tuning, retrieval-augmented generation (RAG), AI security assistants, and secure
Solidity education.
Every record explains one vulnerability, attack pattern, secure coding… See the full description on the dataset page: https://huggingface.co/datasets/ismailtasdelen/ethereum-smart-contract-security-qa.