Omarrran/CryptoXChain_500K_Multi_Network_Blockchain_Transaction_Dataset

🔗 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.

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📁 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

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🏗️ 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)

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📈 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)

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⚠️ Known Issues & Caveats

1. 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.

2. 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.

3. COINBASE ZERO-INPUT: BTC (32), DOGE (207), BCH (446), DASH (4,919) rows have input_val=0 — these are block reward transactions, correctly flagged via is_coinbase=True.

4. WHALE SKEW: All chains have Gini > 0.93. Mean values are unrepresentative of typical transactions. Always prefer median for central tendency.

5. DOGE SCALE: DOGE values are in full DOGE (not satoshis). Max tx = 353M DOGE. Normalize before cross-chain numeric comparisons.

6. ETC MODEL DIFFERENCE: ETC is account-model, not UTXO. Has no input_count/output_count. Use UTXO_ALL_400k files for UTXO-only analysis.

7. SAMPLING BIAS: 10 runs × 10,000 txns captures a narrow block window. Not a longitudinal time-series dataset.

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🚀 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()

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🔬 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

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📋 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}
}

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👤 Author

Omar Haq Nawaz Malik (HuggingFace: Omarrran) AI Engineer & NLP Researcher | BITS Pilani | Srinagar, Kashmir