FinML-Chain: A Blockchain-Integrated Dataset for Enhanced Financial Machine Learning
Table of Contents
- Data
- Code
- Result
- Reference
Data
Collection for On chain Data
We collect the data through BigQuery, and the code we used is attached here.
Code for querying data
You can also refer to BigQuery for more information.
Collection for Off chain Data
On chain Data Infomation
| Data Files |
Data Type |
Data Content |
| ETH-NFT-airdrop.csv |
Raw Data |
Critical indicators related to gas during NFT airdrop period |
| ETH-Normal.csv |
Raw Data |
Critical indicators related to gas during normal period |
On chain Data Dictionary
- ETH-NFT-airdrop.csv and ETH-Normal.csv
| Variable Name |
Description |
Type |
| timestamp |
Recoding of the time of each block |
String |
| number |
The number of blocks on the chain |
Numeric |
| gas_used |
Actual gas used |
Numeric |
| gas_limit |
The maximum allowed gas per block |
Numeric |
| base_fee_per_gas |
The base fee set for each block |
Numeric |
- Additional Variables we create
| Variable Name |
Description |
Type |
| gas_fraction |
Fraction between Gas Used and Gas Limit |
Numeric |
| gas_target |
The optimal gas used for each block |
Numeric |
| Y |
Normalized Gas Used |
Numeric |
| Yt |
Response variable equals to the gas_fraction |
Numeric |
Off chain Data Information
| Variable Name |
Description |
Type |
| chat text |
people's chat sentences |
String |
Code
