Datasets:

priyank-m
/

SROIE_2019_text_recognition

image imagewidth (px) 1 1.7k	text stringlengths 1 68
	RM 29.70
	- ARTLINE 70
	THANK YOU AND PLEASE COME AGAIN.
	MOBILE NO.:
	560272
	28.58
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	S/O NO
	DISC
	CASH
	30/04/2017 (SUN) 20:22
	CASH
	PRICE
	RM10.14
	ITEM
	COMPANY REG NO.: 28982V
	DESC
	GREEN BEAN
	CASH :
	TEO HENG STATIONERY & BOOKS
	6.30
	GOODS SOLD ARE NOT RETURNABLE
	CASHIER:
	SERVICE CHARGE
	AMOUNT RM
	RESTAURANT ORDER CHIT NCR
	TEL : 03-87686092
	CHILI ' S
	0.00
	019-2616 281 MR.NEO
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	Z
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	GST REG. NO. : 000155453440
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	RM 27.00
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	11.90
	0
	3.00
	52.00
	GST ID : 001661886464
	12.90
	RM 2.15
	U/P
	DISCOUNT
	5.80
	FAX:03- 55423213
	2,197.00 SR
	1
	GST @6%: $0.50
	SR 100100000035- 1 MEAT + 3 VEGE
	REQUIRED TO MAKE NECESSARY ADJUSTMENTS TO ITS
	ISS
	10.57
	0
	(GST ID NO :000473792512)
	TAMPOI,81200 JOHOR BAHRU,JOHOR
	AMOUNT(RM)
	DATE
	6.00
	0
	0.50 SR
	1,124
	ROAST CHICKEN RICE
	3
	CODE
	2.13
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	U.PRICE
	TIME:
	8809069300708
	CASH
	MAKASSAR FRESH MARKET SDN BHD
	IBRAHIM
	2
	CHANGE
	RM
	1.65
	SONOFAX - EC THERMAL ROLL
	RM
	9020529
	REF.:
	QTY
	CARD COVER (SJB-4013)
	13.78
	GSTSUMMARY
	RM 8.00
	GST SUMMARY
	1
	2.20
	TAN WOON YANN
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	CHANGE
	3X10.49

End of preview. Expand in Dataset Viewer.

This dataset we prepared using the Scanned receipts OCR and information extraction(SROIE) dataset. The SROIE dataset contains 973 scanned receipts in English language. Cropping the bounding boxes from each of the receipts to generate this text-recognition dataset resulted in 33626 images for train set and 18704 images for the test set. The text annotations for all the images inside a split are stored in a metadata.jsonl file.

usage:

from dataset import load_dataset

data = load_dataset("priyank-m/SROIE_2019_text_recognition")

source of raw SROIE dataset: https://www.kaggle.com/datasets/urbikn/sroie-datasetv2