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SandroLuck / gist:9f593507e2fa3a79abfe05ec99a473e0
Created September 4, 2023 15:40
Example Invoice Extraction
Your task is to extract invoice information from given data. You are a JSON extraction tool.
The given data is extracted from a PDF.
To you we present the layout as text.
Extract and fill exactly this JSON from the Text below:
{
"InvoiceReference": "",
"SupplierAddress": "",
"DeliveryAddress": "",
"InvoiceDate": "",
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SandroLuck / TutorialPytorchDataloader.ipynb
Created May 28, 2022 20:25
Dataloader and Dataset Tutorial Pytorch Pytorch Lightning
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We can make this file beautiful and searchable if this error is corrected: It looks like row 6 should actually have 20 columns, instead of 6. in line 5.
Country,Region,Population,Area (sq. mi.),Pop. Density (per sq. mi.),Coastline (coast/area ratio),Net migration,Infant mortality (per 1000 births),GDP ($ per capita),Literacy (%),Phones (per 1000),Arable (%),Crops (%),Other (%),Climate,Birthrate,Deathrate,Agriculture,Industry,Service
"Afghanistan ","ASIA (EX. NEAR EAST) ",31056997,647500,"48,0","0,00","23,06","163,07",700,"36,0","3,2","12,13","0,22","87,65",1,"46,6","20,34","0,38","0,24","0,38"
"Albania ","EASTERN EUROPE ",3581655,28748,"124,6","1,26","-4,93","21,52",4500,"86,5","71,2","21,09","4,42","74,49",3,"15,11","5,22","0,232","0,188","0,579"
"Algeria ","NORTHERN AFRICA ",32930091,2381740,"13,8","0,04","-0,39",31,6000,"70,0","78,1","3,22","0,25","96,53",1,"17,14","4,61","0,101","0,6","0,298"
"American Samoa ","OCEANIA ",57794,199,"290,4","58,29","-20,71","9,27",8000,"97,0","259,5",10,15,75,2,"22,46","3,27",,,
"Andorra ","WESTERN EUROPE ",71201,468,"152,1","0,00"
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@SandroLuck
SandroLuck / Feature Scaling Example.ipynb
Created November 20, 2021 10:35
Feature Scaling Example
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@SandroLuck
SandroLuck / BibleVSHarry.ipynb
Created October 7, 2021 20:55
TutorialTextClassification
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