metadata
license: apache-2.0
language:
- en
pretty_name: 'CryptoXChain-500K: Multi-Network Blockchain Transaction Dataset'
size_categories:
- 100K<n<1M
task_categories:
- tabular-classification
- tabular-regression
- time-series-forecasting
- feature-extraction
tags:
- blockchain
- cryptocurrency
- bitcoin
- bitcoin-cash
- dash
- dogecoin
- ethereum-classic
- transactions
- utxo
- cross-chain
- financial
- anomaly-detection
configs:
- config_name: btc
data_files:
- split: train
path: data/BTC_transactions_100k.jsonl
- config_name: bch
data_files:
- split: train
path: data/BCH_transactions_100k.jsonl
- config_name: dash
data_files:
- split: train
path: data/DASH_transactions_100k.jsonl
- config_name: doge
data_files:
- split: train
path: data/DOGE_transactions_100k.jsonl
- config_name: etc
data_files:
- split: train
path: data/ETC_transactions_100k.jsonl
- config_name: utxo_all
data_files:
- split: train
path: data/UTXO_ALL_400k.jsonl
- config_name: all_chains
data_files:
- split: train
path: data/ALL_CHAINS_500k.jsonl
🔗 CryptoXChain-500K: Multi-Network Blockchain Transaction Dataset
Dataset Summary
A large-scale, multi-chain blockchain transaction dataset containing 500,000 real transactions sampled across 5 cryptocurrency networks: Bitcoin (BTC), Bitcoin Cash (BCH), Dash (DASH), Dogecoin (DOGE), and Ethereum Classic (ETC). Structured for immediate use in machine learning, financial analytics, anomaly detection, graph neural networks, and cross-chain comparative research.
Collected across 10 independent sampling runs per chain, each capturing 10,000 transactions — totalling 100,000 transactions per chain.
📁 Files in This Dataset
| File | Format | Rows | Description |
|---|---|---|---|
| BTC_transactions_100k.csv | CSV | 100,000 | Bitcoin UTXO transactions |
| BCH_transactions_100k.csv | CSV | 100,000 | Bitcoin Cash UTXO transactions |
| DASH_transactions_100k.csv | CSV | 100,000 | Dash UTXO + PrivateSend transactions |
| DOGE_transactions_100k.csv | CSV | 100,000 | Dogecoin UTXO transactions |
| ETC_transactions_100k.csv | CSV | 100,000 | Ethereum Classic account-model transactions |
| UTXO_ALL_400k.csv | CSV | 400,000 | Merged BTC+BCH+DASH+DOGE, unified schema |
| ALL_CHAINS_500k.csv | CSV | 500,000 | Full dataset, all 5 chains combined |
| BTC_transactions_100k.jsonl | JSONL | 100,000 | HuggingFace-native format |
| BCH_transactions_100k.jsonl | JSONL | 100,000 | HuggingFace-native format |
| DASH_transactions_100k.jsonl | JSONL | 100,000 | HuggingFace-native format |
| DOGE_transactions_100k.jsonl | JSONL | 100,000 | HuggingFace-native format |
| ETC_transactions_100k.jsonl | JSONL | 100,000 | HuggingFace-native format |
| UTXO_ALL_400k.jsonl | JSONL | 400,000 | Merged UTXO JSONL |
| ALL_CHAINS_500k.jsonl | JSONL | 500,000 | Full dataset JSONL |
🏗️ Schema Reference
UTXO Chains (BTC, BCH, DASH, DOGE)
| Column | Type | Description |
|---|---|---|
| hash | string | Unique transaction hash (64-char hex) |
| block_number | int64 | Block height at which tx was confirmed |
| block_timestamp | string | ISO 8601 UTC timestamp of block |
| chain | string | Chain identifier: BTC / BCH / DASH / DOGE |
| input_val | float64 | Total input value (native coin units) |
| output_val | float64 | Total output value (native coin units) |
| fee_val | float64 | Miner fee = input_val - output_val |
| fee_rate | float64 | fee_val / input_val (proportion) |
| input_count | int64 | Number of input UTXOs consumed |
| output_count | int64 | Number of output UTXOs created |
| is_coinbase | bool | True = block reward / miner transaction |
| is_privatesend | bool | True = DASH PrivateSend/CoinJoin tx (DASH only) |
| is_whale | bool | True = input_val > 99th percentile of chain |
| is_high_fee | bool | True = fee_rate > 1% |
ETC (Ethereum Classic) — Account Model
| Column | Type | Description |
|---|---|---|
| hash | string | Unique tx hash (0x-prefixed 64-char hex) |
| block_number | int64 | ETC block height |
| block_timestamp | string | ISO 8601 UTC timestamp |
| chain | string | Always "ETC" |
| from_address | string | Sender EOA or contract address |
| to_address | string | Recipient address; NULL = contract creation |
| value_etc | float64 | Transfer amount in ETC |
| gas | int64 | Gas limit set by sender |
| gas_price_gwei | float64 | Gas price in Gwei |
| receipt_status | int64 | 1 = success, 0 = failed/reverted |
| tx_type | string | "transfer", "zero_value", "contract_creation" |
| is_failed | bool | True = receipt_status == 0 |
| gas_efficiency | float64 | value_etc / gas (value per gas unit) |
📈 Per-Chain Statistics
BTC — Bitcoin
- Transactions: 100,000
- Mean input: 2.279792 BTC | Median: 0.003457 BTC
- Max input: 20,191.61 BTC (whale tx ~$1.8B)
- Gini coefficient: 0.9857
- Coinbase txns: 0.0320% | Whale txns: 1.00% | High fee: 9.91%
- Avg inputs/tx: 2.17 | Avg outputs/tx: 2.73
- Block range: Feb 27 2026 (~33 blocks)
BCH — Bitcoin Cash
- Transactions: 100,000
- Mean input: 16.509342 BCH | Median: 0.000139 BCH
- Max input: 63,287.59 BCH
- Gini coefficient: 0.9836
- Coinbase txns: 0.4460% | High fee txns: 64.59% (dust micro-txns)
- Avg inputs/tx: 2.01 | Avg outputs/tx: 2.30
DASH — Dash (Privacy Coin)
- Transactions: 100,000
- Mean input: 36.172438 DASH | Median: 0.800008 DASH
- Max input: 15,390.83 DASH
- Gini coefficient: 0.9372 (lowest — PrivateSend equalises amounts)
- PrivateSend txns: 7.25% | Coinbase: 4.9190%
- Avg inputs/tx: 3.79 (highest — CoinJoin multi-input)
- Notable: Median exactly 0.8 DASH = CoinJoin denomination fingerprint
DOGE — Dogecoin
- Transactions: 100,000
- Mean input: 42,235.55 DOGE | Median: 0.013267 DOGE
- Max input: 353,137,638 DOGE (largest tx in dataset!)
- Gini coefficient: 0.9963 (highest — most unequal)
- Coinbase txns: 0.2070% | High fee txns: 64.82%
- Avg inputs/tx: 1.19 | Avg outputs/tx: 2.22
ETC — Ethereum Classic
- Transactions: 100,000
- Mean value: 102.97 ETC | Median: 0.383154 ETC
- Max value: 500,000 ETC
- Gini coefficient: ~0.97
- Failed txns: 0.031% | Unique senders: 9,285
- Mean gas: 53,267 units | Mean gas price: 5.85 Gwei
- Block range: Nov 18–22 2020 (~5 day window)
- Notable: Top sender in 22.4% of all sampled txns (exchange/contract)
⚠️ Known Issues & Caveats
TEMPORAL MISMATCH: UTXO chains sampled Feb 27 2026; ETC sampled Nov 18–22 2020. Do NOT perform direct cross-chain temporal comparisons without acknowledging this gap.
DASH NULLS: 7,249 rows have null input_val/output_val due to PrivateSend/CoinJoin privacy mixing. Flagged via
is_privatesend=True. Exclude or handle separately in numeric analyses.COINBASE ZERO-INPUT: BTC (32), DOGE (207), BCH (446), DASH (4,919) rows have
input_val=0— these are block reward transactions, correctly flagged viais_coinbase=True.WHALE SKEW: All chains have Gini > 0.93. Mean values are unrepresentative of typical transactions. Always prefer median for central tendency.
DOGE SCALE: DOGE values are in full DOGE (not satoshis). Max tx = 353M DOGE. Normalize before cross-chain numeric comparisons.
ETC MODEL DIFFERENCE: ETC is account-model, not UTXO. Has no input_count/output_count. Use
UTXO_ALL_400kfiles for UTXO-only analysis.SAMPLING BIAS: 10 runs × 10,000 txns captures a narrow block window. Not a longitudinal time-series dataset.
🚀 Quick Start
pandas
import pandas as pd
# Single chain
btc = pd.read_csv("data/BTC_transactions_100k.csv")
# All UTXO chains merged
utxo = pd.read_csv("data/UTXO_ALL_400k.csv")
# Full 500K
full = pd.read_csv("data/ALL_CHAINS_500k.csv")
# Filter by chain
dash_only = utxo[utxo["chain"] == "DASH"]
# Clean UTXO analysis (exclude coinbase & PrivateSend)
clean = utxo[~utxo["is_coinbase"] & ~utxo["is_privatesend"]]
# Whale transactions only
whales = utxo[utxo["is_whale"] == True]
HuggingFace datasets library
from datasets import load_dataset
# Load single chain
btc = load_dataset("Omarrran/CryptoXChain_500K_Multi_Network_Blockchain_Transaction_Dataset", "btc")
# Load all UTXO chains merged
utxo = load_dataset("Omarrran/CryptoXChain_500K_Multi_Network_Blockchain_Transaction_Dataset", "utxo_all")
# Load ETC (account-model)
etc = load_dataset("Omarrran/CryptoXChain_500K_Multi_Network_Blockchain_Transaction_Dataset", "etc")
# Load full 500K all chains
full = load_dataset("Omarrran/CryptoXChain_500K_Multi_Network_Blockchain_Transaction_Dataset", "all_chains")
# Convert to pandas
df = btc["train"].to_pandas()
🔬 Suggested Research Tasks
| Task | Recommended File | Key Columns |
|---|---|---|
| Fee prediction | utxo_all | input_val, input_count, output_count → fee_val |
| Whale / anomaly detection | utxo_all | input_val, fee_rate, is_whale |
| Privacy tx classification | dash | is_privatesend, input_count, output_count |
| Cross-chain value comparison | all_chains | chain, input_val |
| Gas price prediction | etc | gas, gas_price_gwei, value_etc |
| Tx type classification | etc | tx_type |
| Block congestion modeling | any | block_number → tx count per block |
| Gini / inequality research | utxo_all | input_val grouped by chain |
| Coinbase detection | utxo_all | is_coinbase |
| UTXO graph analysis | utxo_all | hash, input_count, output_count |
📋 Citation
@dataset{malik2026cryptoxchain,
author = {Malik, Omar Haq Nawaz},
title = {CryptoXChain-500K: Multi-Network Blockchain Transaction Dataset},
year = {2026},
publisher = {HuggingFace},
url = {https://huggingface.co/datasets/Omarrran/CryptoXChain_500K_Multi_Network_Blockchain_Transaction_Dataset},
chains = {BTC, BCH, DASH, DOGE, ETC},
total_txns= {500000},
license = {Apache-2.0}
}
👤 Author
Omar Haq Nawaz Malik (HuggingFace: Omarrran) AI Engineer & NLP Researcher | BITS Pilani | Srinagar, Kashmir