datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
semantaai-crypto_assets
semantaai-crypto_assets
Semanta AI market dataset in unified raw + gold + labels standard.
updated at UTC: 2026-07-22T22:01:35.864528+00:00
target end UTC: 2026-07-22T20:20:00+00:00
raw rows: 4284625
gold rows: 6174008
Layers:
raw/: canonical 5m exchange/vendor bars with quality flags.
gold/: cleaned, synchronized, TA/regime/context features. Past/present only.
labels/: future-derived path-dependent labels. Do not join into features before train/test split design.
v2-crypto-ohlcv-data
v2-crypto-ohlcv-data
Cryptocurrency OHLCV data from Binance API.
Generated: 2025-12-30 07:53:47
Dataset Info
Total Files: 46
Total Data Points: 4,819,964
Total Size: 110.57 MB
Symbols: 23 cryptocurrencies
Timeframes: 15m, 1h
Usage
import pandas as pd
from huggingface_hub import hf_hub_download
path = hf_hub_download(
"zongowo111/v2-crypto-ohlcv-data",
"klines/BTCUSDT/BTC_15m.parquet",
repo_type="dataset"
)
df = pd.read_parquet(path)… See the full description on the dataset page: https://huggingface.co/datasets/zongowo111/v2-crypto-ohlcv-data.crypto-execution-costs
Crypto execution quotes and order-book depth
Ethereum swap quotes, route details and selected perpetual-futures order-book snapshots. The tables support comparisons of quoted output, provider fees, routing choices and available depth at the time of collection.
Contents
Table
Record
ethereum_swap_quotes
A swap quote at a specified size, with available provider-fee details
ethereum_swap_routes
A route leg, with venue, pool and amount where supplied… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/crypto-execution-costs.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.stocks_bars_1m
Dataset Details
Stock bars down to the 1 minute level from various stocks and ETFs. Data goes back to 2016.
Schema (when in a polars DataFrame):
Column
Type
open
Float64
high
Float64
low
Float64
close
Float64
trade_count
UInt32
volume
UInt32
vol_weighted_avg_price
Float64
timestamp
Datetime(time_unit='ms', time_zone='UTC')
ticker
String
name
String
Source Data
Data was scraped from the alpaca.markets Historical Bars API
crypto-options-surface
Crypto options surface and order books
Snapshots of listed options on Aevo, including marks, implied volatility, Greeks and a selected set of order books. The tables support analysis of volatility surfaces and the relationship between published marks and quoted prices.
Contents
Table
Record
options_surface
An instrument's strike, expiry, mark, forward, implied volatility and Greeks
options_order_book
Best bid and ask, available sizes and quoted… See the full description on the dataset page: https://huggingface.co/datasets/dataforge-labs/crypto-options-surface.polymarket-5-minute-crypto-up-down-markets
Polymarket 5-Minute Crypto Up/Down Markets
Second-by-second top-of-book order-book recordings of Polymarket's recurring 5-minute crypto up/down markets — bet on whether a coin closes a fixed 5-minute window higher or lower — for BTC, ETH, SOL, XRP, DOGE, HYPE and BNB.
~89,000 markets (one resolved 5-minute window each)
26,858,579 per-second observations (≈300 ticks per market)
Span: BTC 24 Mar 2026 → 18 May 2026; the other six 5 Apr 2026 → 18 May 2026 (UTC)
Coverage 99.8%+, no… See the full description on the dataset page: https://huggingface.co/datasets/kachoio/polymarket-5-minute-crypto-up-down-markets.crypto-market-datasets
Crypto Market Data Lake
Created and maintained by Eimantas Kulbe
⭐ If you use this dataset in research, a product, or any publication,
please cite the author (see Citation below).
It took significant infrastructure and months of collection effort —
a citation is the simplest way to give credit.
A continuously growing data lake of crypto market microstructure data sourced
from Binance and alternative data providers. Full coverage across all 10 symbols — complete tick-level… See the full description on the dataset page: https://huggingface.co/datasets/KEDevO/crypto-market-datasets.polymarket-crypto-updown
Polymarket Crypto Up/Down Markets
Comprehensive dataset of Polymarket binary prediction markets for cryptocurrency price movements. Covers BTC, ETH, SOL, BNB, XRP, DOGE, and HYPE across multiple timeframes (5-minute, 15-minute, 1-hour, 4-hour).
Updated automatically every 3 hours.
Subsets
Load a specific subset:
from datasets import load_dataset
markets = load_dataset("aliplayer1/polymarket-crypto-updown", "markets")
prices =… See the full description on the dataset page: https://huggingface.co/datasets/aliplayer1/polymarket-crypto-updown.kline-cryptoLogs-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.cryptolake-binance-futures-btc
Cryptolake raw market data — Binance USDT-M futures (BTC)
Raw market-data archive (Cryptolake subscription capture; coverage ~2024-11 .. 2026-06, gaps possible):
20-level order-book snapshots (book), trades, funding/mark-price (funding),
liquidations (forceOrders), open-interest polls. One snappy parquet per day per stream,
layout raw/<stream>/exchange=BINANCE_FUTURES/symbol=BTC-USDT-PERP/dt=<DAY>/.
Mirror of gs://market-data-0998ac51/raw/ (GCP->HF migration 2026-08-22; ledger:… See the full description on the dataset page: https://huggingface.co/datasets/delmiron27/cryptolake-binance-futures-btc.CryptoLM-Bitcoin-BTC-USDT
BTC Price Dataset with Technical Indicators
Welcome to the BTC / USDT Price Dataset with Technical Indicators, hosted by the WinkingFace Team. This dataset is designed to provide comprehensive historical data on Bitcoin 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 and… See the full description on the dataset page: https://huggingface.co/datasets/WinkingFace/CryptoLM-Bitcoin-BTC-USDT.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-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.crypto-market-sentiment-observations
Instrumetriq: Crypto Market Activity & Sentiment Context Dataset
Time-aligned observational snapshots of crypto market activity and social sentiment across 270+ assets, designed to contextualize market structure, liquidity, and attention dynamics.
Observational data only. No trading advice, predictions, or signal generation.
Dataset Description
This dataset provides weekly Sunday snapshots from Instrumetriq's continuous monitoring pipeline. Each snapshot… See the full description on the dataset page: https://huggingface.co/datasets/Instrumetriq/crypto-market-sentiment-observations.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.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-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.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.cryptolake-binance-futures-eth
Cryptolake raw market data — Binance USDT-M futures (ETH)
Raw market-data archive (Cryptolake subscription capture; coverage ~2024-11 .. 2026-06, gaps possible):
20-level order-book snapshots (book), trades, funding/mark-price (funding),
liquidations (forceOrders), open-interest polls. One snappy parquet per day per stream,
layout raw/<stream>/exchange=BINANCE_FUTURES/symbol=ETH-USDT-PERP/dt=<DAY>/.
Mirror of gs://market-data-0998ac51/raw/ (GCP->HF migration 2026-08-22; ledger:… See the full description on the dataset page: https://huggingface.co/datasets/delmiron27/cryptolake-binance-futures-eth.polymarket-crypto-updown-orderbooks-l2
Polymarket Crypto Up/Down Order Books — 1-Second L2 Depth
897,192 order book snapshots across 805 resolved markets and three contract
lengths. Full bid and ask ladders, captured once per second, with the winning
outcome on every row.
This is the DOI-carrying research release. Same data as
10.5281/zenodo.22084114, mirrored here
for load_dataset.
What is in it
File
Snapshots
Markets
Contract
updown_5m.parquet
167,941
471
Five-minute
updown_15m.parquet… See the full description on the dataset page: https://huggingface.co/datasets/polyorderbooks/polymarket-crypto-updown-orderbooks-l2.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.polymarket-crypto-5min-l2
Polymarket Crypto 5-Minute Markets — 1-Second L2 Order Books
Full bid and ask ladders, captured once per second, for Polymarket's five-minute
crypto up/down markets. Every market in here has already resolved, so each row
carries the winning outcome.
The interesting part of these markets is the last few minutes, so that is what
this covers: the window from market open to settlement, for both outcome tokens.
How this differs from other Polymarket datasets
Several… See the full description on the dataset page: https://huggingface.co/datasets/polyorderbooks/polymarket-crypto-5min-l2.Cryptocurrencies-Daily-Price
Cryptocurrencies Daily Price
This dataset includes daily price data for various cryptocurrencies.
263,889 rows over 88 symbols, 7 columns, covering 2010-07-14 to 2026-08-14. Refreshed monthly.
Strategies Built on This Data
84 papers in the Papers With Backtest catalogue declare this dataset as an input. 73 of them have been coded and run over their own full history. The median replicated Sharpe ratio is +0.47, and 42% clear a t-statistic of 1.96 on their own… See the full description on the dataset page: https://huggingface.co/datasets/paperswithbacktest/Cryptocurrencies-Daily-Price.CryptoLM-Ripple-XRP-USDT
XRP Price Dataset with Technical Indicators
Welcome to the XRP / USDT Price Dataset with Technical Indicators, hosted by the WinkingFace Team. This dataset is designed to provide comprehensive historical data on XRP 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 and… See the full description on the dataset page: https://huggingface.co/datasets/WinkingFace/CryptoLM-Ripple-XRP-USDT.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.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.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.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.