---
title: Cryptocurrency Transaction Datasets
emoji: null
colorFrom: red
colorTo: purple
license: mit
language:
- en
pretty_name: Cryptocurrency Transaction Datasets
task_categories:
- feature-extraction
tags:
- finance
- HNM
size_categories:
- 10K<n<100K
---

# Cryptocurrency Transaction Datasets  (Dataset: 5 cryptocurrencies × 10,000 transactions each = 50,000 total transactions)

This dataset collection comprises transaction data for five major cryptocurrencies: Ethereum Classic (ETC), Bitcoin (BTC), Dogecoin (DOGE), Bitcoin Cash (BCH), and Dash (DASH). Each dataset contains 10,000 transactions, offering a snapshot of network activity. A key distinction among these cryptocurrencies lies in their underlying transaction model: ETC operates on an **Account-based model**, where transactions transfer value between accounts, while BTC, DOGE, BCH, and DASH utilize the **Unspent Transaction Output (UTXO) model**, where transactions consume unspent outputs and create new ones. This fundamental difference is reflected in the schema and metrics available for each chain, providing a rich resource for comparative analysis of blockchain transaction dynamics.

## Column Descriptions

### ETC Schema

| Column Name | Description |
|-------------|-------------|
| `hash` | The unique identifier (hash) of the transaction. |
| `block_number` | The block number in which the transaction was included. |
| `block_timestamp` | The timestamp of the block in which the transaction was included. |
| `from_address` | The sender's address of the transaction. |
| `to_address` | The recipient's address of the transaction. |
| `value_etc` | The amount of Ethereum Classic (ETC) transferred in the transaction. |
| `gas` | The amount of gas used by the transaction. |
| `gas_price_gwei` | The price of gas in GWEI paid for the transaction. |
| `receipt_status` | The status of the transaction receipt (1 for success, 0 for failure). |

### BTC Schema

| Column Name | Description |
|-------------|-------------|
| `hash` | The unique identifier (hash) of the transaction. |
| `block_number` | The block number in which the transaction was included. |
| `block_timestamp` | The timestamp of the block in which the transaction was included. |
| `input_btc` | The total input value in BTC for the transaction. Note: This can be null for coinbase transactions or if specific inputs are not tracked. |
| `output_btc` | The total output value in BTC for the transaction. Note: This can be null if no outputs or specific outputs are not tracked. |
| `fee_btc` | The transaction fee in BTC (difference between total inputs and total outputs). |
| `input_count` | The number of inputs in the transaction. |
| `output_count` | The number of outputs in the transaction. |
| `is_coinbase` | Boolean indicating if the transaction is a coinbase transaction (block reward). |

### DOGE Schema

| Column Name | Description |
|-------------|-------------|
| `hash` | The unique identifier (hash) of the transaction. |
| `block_number` | The block number in which the transaction was included. |
| `block_timestamp` | The timestamp of the block in which the transaction was included. |
| `input_doge` | The total input value in DOGE for the transaction. Note: This can be null for coinbase transactions or if specific inputs are not tracked. |
| `output_doge` | The total output value in DOGE for the transaction. Note: This can be null if no outputs or specific outputs are not tracked. |
| `fee_doge` | The transaction fee in DOGE (difference between total inputs and total outputs). |
| `input_count` | The number of inputs in the transaction. |
| `output_count` | The number of outputs in the transaction. |
| `is_coinbase` | Boolean indicating if the transaction is a coinbase transaction (block reward). |

### BCH Schema

| Column Name | Description |
|-------------|-------------|
| `hash` | The unique identifier (hash) of the transaction. |
| `block_number` | The block number in which the transaction was included. |
| `block_timestamp` | The timestamp of the block in which the transaction was included. |
| `input_bch` | The total input value in BCH for the transaction. Note: This can be null for coinbase transactions or if specific inputs are not tracked. |
| `output_bch` | The total output value in BCH for the transaction. Note: This can be null if no outputs or specific outputs are not tracked. |
| `fee_bch` | The transaction fee in BCH (difference between total inputs and total outputs). |
| `input_count` | The number of inputs in the transaction. |
| `output_count` | The number of outputs in the transaction. |
| `is_coinbase` | Boolean indicating if the transaction is a coinbase transaction (block reward). |

### DASH Schema

| Column Name | Description |
|-------------|-------------|
| `hash` | The unique identifier (hash) of the transaction. |
| `block_number` | The block number in which the transaction was included. |
| `block_timestamp` | The timestamp of the block in which the transaction was included. |
| `input_dash` | The total input value in DASH for the transaction. Note: This can be null for coinbase transactions or if specific inputs are not tracked. |
| `output_dash` | The total output value in DASH for the transaction. Note: This can be null if no outputs or specific outputs are not tracked. |
| `fee_dash` | The transaction fee in DASH (difference between total inputs and total outputs). |
| `input_count` | The number of inputs in the transaction. |
| `output_count` | The number of outputs in the transaction. |
| `is_coinbase` | Boolean indicating if the transaction is a coinbase transaction (block reward). |

## Key Statistics

### ETC Statistics

- **Shape:** 10000 rows, 9 columns

- **Missing Values:** None

- **Data Types:**
  - `hash`: object
  - `block_number`: int64
  - `block_timestamp`: datetime64[ns, UTC]
  - `from_address`: object
  - `to_address`: object
  - `value_etc`: float64
  - `gas`: int64
  - `gas_price_gwei`: float64
  - `receipt_status`: int64

- **Descriptive Statistics:**

|       | block_number   | value_etc   | gas     | gas_price_gwei   | receipt_status   |
|:------|:---------------|:------------|:--------|:-----------------|:-----------------|
| count | 10000          | 10000       | 10000   | 10000            | 10000            |
| mean  | 1.16598e+07    | 75.7417     | 51210.1 | 6.20064          | 0.9993           |
| std   | 811.228        | 1358.07     | 222979  | 41.5924          | 0.0264496        |
| min   | 1.16583e+07    | 0           | 21000   | 1                | 0                |
| 25%   | 1.1659e+07     | 0.121622    | 21000   | 1                | 1                |
| 50%   | 1.16598e+07    | 0.364524    | 50000   | 1                | 1                |
| 75%   | 1.16605e+07    | 1.01534     | 50000   | 7                | 1                |
| max   | 1.16612e+07    | 91500       | 8e+06   | 4000             | 1                |

  - **Value (`value_etc`):** Ranges from 0.00 to 91499.99 ETC, with an average of 75.74 ETC, indicating a wide range of transaction values.
  - **Gas Price (`gas_price_gwei`):** Shows a significant spread from 1.00 to 4000.00 GWEI, with a mean of 6.20 GWEI, suggesting varying network congestion or user preferences.
  - **Receipt Status (`receipt_status`):** The mean of 99.93% indicates a high success rate for transactions.
### BTC Statistics

- **Shape:** 10000 rows, 9 columns

- **Missing Values:** None

- **Data Types:**
  - `hash`: object
  - `block_number`: int64
  - `block_timestamp`: datetime64[ns, UTC]
  - `input_btc`: float64
  - `output_btc`: float64
  - `fee_btc`: float64
  - `input_count`: int64
  - `output_count`: int64
  - `is_coinbase`: bool

- **Descriptive Statistics:**

|       | block_number   | input_btc   | output_btc   | fee_btc     | input_count   | output_count   |
|:------|:---------------|:------------|:-------------|:------------|:--------------|:---------------|
| count | 10000          | 10000       | 10000        | 10000       | 10000         | 10000          |
| mean  | 925300         | 2.48926     | 2.4902       | 9.46632e-06 | 2.0699        | 2.7378         |
| std   | 0.783679       | 26.2408     | 26.2408      | 2.95765e-05 | 9.11424       | 9.65371        |
| min   | 925299         | 0           | 0            | 0           | 0             | 1              |
| 25%   | 925299         | 0.00128595  | 0.00128433   | 2.82e-06    | 1             | 1              |
| 50%   | 925300         | 0.00739055  | 0.00739597   | 4.4e-06     | 1             | 2              |
| 75%   | 925301         | 0.0630795   | 0.0633728    | 8.04e-06    | 1             | 2              |
| max   | 925301         | 1996.61     | 1996.61      | 0.0014603   | 329           | 413            |

  - **Input Value (`input_btc`):** Ranges from 0.000000 to 1996.609056 BTC, with an average of 2.489261 BTC. Note 0 missing values, likely from coinbase transactions or untracked inputs.
  - **Output Value (`output_btc`):** Ranges from 0.000000 to 1996.609030 BTC, with an average of 2.490200 BTC. Note 0 missing values.
  - **Transaction Fee (`fee_btc`):** Fees are generally low, with an average of 0.000009 BTC, and a maximum of 0.001460 BTC.
  - **Input Count (`input_count`):** Average number of inputs per transaction is 2.07, indicating transactions often consolidate multiple UTXOs.
  - **Output Count (`output_count`):** Average number of outputs per transaction is 2.74.
### DOGE Statistics

- **Shape:** 10000 rows, 9 columns

- **Missing Values:** None

- **Data Types:**
  - `hash`: object
  - `block_number`: int64
  - `block_timestamp`: datetime64[ns, UTC]
  - `input_doge`: float64
  - `output_doge`: float64
  - `fee_doge`: float64
  - `input_count`: int64
  - `output_count`: int64
  - `is_coinbase`: bool

- **Descriptive Statistics:**

|       | block_number   | input_doge   | output_doge   | fee_doge   | input_count   | output_count   |
|:------|:---------------|:-------------|:--------------|:-----------|:--------------|:---------------|
| count | 10000          | 10000        | 10000         | 10000      | 10000         | 10000          |
| mean  | 5.45953e+06    | 30977.5      | 30991.5       | 0.0715129  | 1.0889        | 1.3957         |
| std   | 4.22001        | 1.68994e+06  | 1.68994e+06   | 0.518674   | 1.47561       | 2.78914        |
| min   | 5.45952e+06    | 0            | 0.001         | 0          | 0             | 1              |
| 25%   | 5.45953e+06    | 0.011175     | 0.001         | 0.010175   | 1             | 1              |
| 50%   | 5.45953e+06    | 0.0114       | 0.001         | 0.0104     | 1             | 1              |
| 75%   | 5.45953e+06    | 0.0114       | 0.001         | 0.0104     | 1             | 1              |
| max   | 5.45953e+06    | 1.62704e+08  | 1.62704e+08   | 16.878     | 105           | 61             |

  - **Input Value (`input_doge`):** Ranges from 0.000000 to 162704181.648130 DOGE, with an average of 30977.504996 DOGE. Note 0 missing values, likely from coinbase transactions or untracked inputs.
  - **Output Value (`output_doge`):** Ranges from 0.001000 to 162704176.458130 DOGE, with an average of 30991.503881 DOGE. Note 0 missing values.
  - **Transaction Fee (`fee_doge`):** Fees are generally low, with an average of 0.071513 DOGE, and a maximum of 16.878000 DOGE.
  - **Input Count (`input_count`):** Average number of inputs per transaction is 1.09, indicating transactions often consolidate multiple UTXOs.
  - **Output Count (`output_count`):** Average number of outputs per transaction is 1.40.
### BCH Statistics

- **Shape:** 10000 rows, 9 columns

- **Missing Values:**
  - `input_bch`: 121 missing values (1.21%)

- **Data Types:**
  - `hash`: object
  - `block_number`: int64
  - `block_timestamp`: datetime64[ns, UTC]
  - `input_bch`: float64
  - `output_bch`: float64
  - `fee_bch`: float64
  - `input_count`: int64
  - `output_count`: int64
  - `is_coinbase`: bool

- **Descriptive Statistics:**

|       | block_number   | input_bch   | output_bch   | fee_bch     | input_count   | output_count   |
|:------|:---------------|:------------|:-------------|:------------|:--------------|:---------------|
| count | 10000          | 9879        | 10000        | 10000       | 10000         | 10000          |
| mean  | 845621         | 53.9227     | 53.308       | 0.000302823 | 4.9844        | 2.516          |
| std   | 34.3983        | 740.315     | 735.843      | 0.00484123  | 39.8772       | 8.60367        |
| min   | 845555         | 8.88e-06    | 6.14e-06     | 0           | 0             | 1              |
| 25%   | 845596         | 0.0278857   | 0.0292351    | 2.26e-06    | 1             | 2              |
| 50%   | 845621         | 0.499       | 0.501174     | 3.74e-06    | 1             | 2              |
| 75%   | 845653         | 4.85875     | 4.77461      | 7.68e-06    | 2             | 2              |
| max   | 845676         | 63287.6     | 63287.6      | 0.0888528   | 700           | 460            |

  - **Input Value (`input_bch`):** Ranges from 0.000009 to 63287.585142 BCH, with an average of 53.922684 BCH. Note 121 missing values, likely from coinbase transactions or untracked inputs.
  - **Output Value (`output_bch`):** Ranges from 0.000006 to 63287.585112 BCH, with an average of 53.308031 BCH. Note 0 missing values.
  - **Transaction Fee (`fee_bch`):** Fees are generally low, with an average of 0.000303 BCH, and a maximum of 0.088853 BCH.
  - **Input Count (`input_count`):** Average number of inputs per transaction is 4.98, indicating transactions often consolidate multiple UTXOs.
  - **Output Count (`output_count`):** Average number of outputs per transaction is 2.52.
### DASH Statistics

- **Shape:** 10000 rows, 9 columns

- **Missing Values:**
  - `input_dash`: 457 missing values (4.57%)
  - `output_dash`: 72 missing values (0.72%)

- **Data Types:**
  - `hash`: object
  - `block_number`: int64
  - `block_timestamp`: datetime64[ns, UTC]
  - `input_dash`: float64
  - `output_dash`: float64
  - `fee_dash`: float64
  - `input_count`: int64
  - `output_count`: int64
  - `is_coinbase`: bool

- **Descriptive Statistics:**

|       | block_number   | input_dash   | output_dash   | fee_dash    | input_count   | output_count   |
|:------|:---------------|:-------------|:--------------|:------------|:--------------|:---------------|
| count | 10000          | 9543         | 9928          | 10000       | 10000         | 10000          |
| mean  | 1.87864e+06    | 24.519       | 23.6646       | 3.97762e-05 | 4.4742        | 4.5235         |
| std   | 105.282        | 163.905      | 160.752       | 0.000692605 | 10.7281       | 6.74607        |
| min   | 1.87846e+06    | 8.555e-05    | 0             | 0           | 0             | 0              |
| 25%   | 1.87856e+06    | 0.0300003    | 0.0499655     | 0           | 1             | 2              |
| 50%   | 1.87864e+06    | 1.04723      | 1.20001       | 2.27e-06    | 1             | 2              |
| 75%   | 1.87873e+06    | 11.0001      | 10.1067       | 6e-06       | 6             | 6              |
| max   | 1.87884e+06    | 6914.14      | 6914.14       | 0.0665187   | 618           | 189            |

  - **Input Value (`input_dash`):** Ranges from 0.000086 to 6914.138218 DASH, with an average of 24.518962 DASH. Note 457 missing values, likely from coinbase transactions or untracked inputs.
  - **Output Value (`output_dash`):** Ranges from 0.000000 to 6914.138216 DASH, with an average of 23.664593 DASH. Note 72 missing values.
  - **Transaction Fee (`fee_dash`):** Fees are generally low, with an average of 0.000040 DASH, and a maximum of 0.066519 DASH.
  - **Input Count (`input_count`):** Average number of inputs per transaction is 4.47, indicating transactions often consolidate multiple UTXOs.
  - **Output Count (`output_count`):** Average number of outputs per transaction is 4.52.
## Visualization Insights

### Schema Comparison Matrix


![image](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/mNc8eJCLaxk8yIDEv59Jd.png)



![image](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/xObJFHW7uvoCYewLv9xwi.png)

### ETC Gas Price Distribution Ranges

![image](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/lhnrlpJcUBTHxFGHaHH9Y.png)

###  Average Transaction Values (Native Units)

![image](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/0hGF9j-tdy8W1bRDZ_jqr.png)


![image](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/ptWrgKKjbc8aknXiG__0c.png)


![image](https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/nDF8ez2f0CXl2sUjDLeKj.png)

### Usage Examples

This dataset is highly versatile and can be used for various analytical and research purposes:

- **Transaction Pattern Analysis:** Analyze transaction volumes over time, identify peak activity periods, and study the distribution of transaction sizes and fees for different cryptocurrencies.
- **Fee Dynamics Research:** Investigate how transaction fees are determined across different blockchain models (Account-based vs. UTXO-based), and how they correlate with network congestion or value transferred.
- **Blockchain Model Comparison:** Directly compare the operational characteristics and efficiency of Account-based (ETC) versus UTXO-based (BTC, DOGE, BCH, DASH) transaction models using their respective data schemas.
- **Address Behavior Analysis:** For ETC, study transaction flows between 'from_address' and 'to_address' to infer network participant behavior. For UTXO chains, analyze 'input_count' and 'output_count' to understand transaction complexity and UTXO management strategies.
- **Impact of Coinbase Transactions:** For UTXO chains, analyze 'is_coinbase' transactions to understand block reward mechanisms and their frequency.
- **Anomaly Detection:** Identify unusual transaction activities, such as unusually high transaction values, fees, or atypical input/output counts, which might indicate fraudulent activities or network events.

### Potential Use Cases

This dataset can serve as a foundational resource for a variety of use cases in blockchain research, data science, and financial analysis:

- **Blockchain Research:** Investigate differences in transaction dynamics, network congestion, and fee structures between Account-based and UTXO-based blockchains. This can include studying the efficiency of different transaction models.
- **Economic Analysis of Cryptocurrencies:** Analyze the flow of value, transaction volume, and fee trends to understand market behavior, adoption rates, and economic health of each cryptocurrency.
- **Anomaly and Fraud Detection:** Develop and test algorithms to detect unusual transaction patterns, potential illicit activities, or network attacks based on transaction values, gas usage, or input/output counts.
- **Wallet Analysis and User Profiling:** By aggregating transactions per address (for ETC) or analyzing UTXO chains, researchers can gain insights into wallet behavior, identify large holders, or understand common transaction strategies.
- **Network Performance Modeling:** Use the transaction data to model and simulate network performance under various loads, optimizing for factors like transaction throughput and confirmation times.
- **Educational Tool:** Serve as a practical dataset for students and researchers to learn about blockchain data analysis, different cryptocurrency transaction models, and data manipulation techniques in Python.



## 📜 Citation

If you use this dataset in your research, please cite:

```bibtex
@dataset{50k_Cryptocurrency_Transaction_Dataset_by_HNM,
  title     = {50k_Cryptocurrency_Transaction_Dataset_by_HNM},
  author    = {Haq Nawaz Malik},
  year      = {2025},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/Omarrran/50k_Cryptocurrency_Transaction_Dataset_by_HNM}
}
```

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