Data Prep

[stefi-says]

COmpile the training data form diferent sources in to flagged dataset containing the features necessarie to do the prediction

[stefi-says]

schema specified on the paper of BERT4ETH:

'hash,
nonce
,block_hash
,block_number
,transaction_index
,from_address
,to_address
,value,
gas,
gas_price,
input,
block_timestamp,
max_fee_per_gas
,max_priority_fee_per_gas
,transaction_type

Not all the columns are used during the code. MOre information on the coluns used can be found o the paper at : 4.2.1

[stefi-says]

this issue depends on the completion of issue #5 and #8

[epowell101]

Here is the specification from the docs for Ethereum-etl as mentioned by the authors:
https://ethereum-etl.readthedocs.io/en/latest/schema/

[epowell101]

There are two steps really, one is to preprocesses the data for our Sybils and the second is to then create an embedding from that preprocessing.