dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 132661697.28
num_examples: 1265
download_size: 118220818
dataset_size: 132661697.28
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Dataset Card for "wildreceipts_ocr_train"
Dataset Summary
This is collection of receipts images with enhanced text information source from Wildreceipts and additional curated receipt images. It contains photo and OCRs information of each image including words, bounding box, labels and key information extraction data in json and xml format.
Features and Data Structure
visual data
- Receipt image represent complex layouts, the effects are well demonstrated on each image.
text data
- ocr_json - represent extracted receipt key information data in json format
- ocr_boxes - represent up-to-date ocr scan result as grouth truth in raw format
- ocr_words - represent ocr detected and recognized words from the receipt image
- ocr_labels - represent original mapping of labels class and text position (may deviate from actual ocr scan result)
- ocr_xml - represent xml format of the key information
- ocr_kie - represent extraction of key information from the receipt image
Languages The language of the data is primarily English.
Data Instances A data instance in this dataset represents entries from the Receipt collection which have been augmented.
Data Samples
Image: file_name: receipt_0.jpeg
Sample: ocr_words
['CHO EUN', 'KOREAN RESTAURANT', '2621 ORANGETHORPE AVE,FULLERTON.', '714879-3574', 'THANKYOU!!', 'DATE12/30/2016 FRI', 'TIME19:19', 'BIBIM.OCTOPU T1', '$13.99', 'S-FOODP.CAKT1', '$14.99', 'PORK DUMPLIN T1', '$8.99', 'LA BEEF RIB T1', '$17.99', '4.00xITEMS', 'SUBTOTAL', '$55.96', 'TAX1', '$4.48', 'TOTAL', '$60.44', '$60AA']
Sample: ocr_json
{"store_name": "CHOEUN KOREANRESTAURANT", "store_addr": "2621ORANGETHORPEAVE,FULLERTON.", "telephone": "(714)879-3574", "date": "12/30/2016FRI", "time": "19:19", "subtotal": "$55.96", "tax": "$4.48", "total": "$60.44", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BIBIM.OCTOPUT1", "item_value": "$13.99", "item_quantity": "1"}, {"item_key": "", "item_name": "S-FOODP.CAKT1", "item_value": "$14.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PORKDUMPLINT1", "item_value": "$8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "LABEEFRIBT1", "item_value": "\uffe517.99", "item_quantity": "1"}, {"item_key": "4.00xITEMS", "item_name": "", "item_value": "", "item_quantity": ""}]}
Sample: ocr_xml
$60.4419:19(714)879-3574$4.48$55.96CHOEUN KOREANRESTAURANT2621ORANGETHORPEAVE,FULLERTON.$13.991BIBIM.OCTOPUT1$14.991S-FOODP.CAKT1$8.991PORKDUMPLINT1￥17.991LABEEFRIBT14.00xITEMS 12/30/2016FRI
Sample: ocr_kie
[{'label': 'Store_name_value', 'transcription': 'CHOEUN'}, {'label': 'Store_name_value', 'transcription': 'KOREANRESTAURANT'}, {'label': 'Store_addr_value', 'transcription': '2621ORANGETHORPEAVE,FULLERTON.'}, {'label': 'Tel_value', 'transcription': '(714)879-3574'}, {'label': 'Others', 'transcription': 'THANKYOU!!'}, {'label': 'Date_key', 'transcription': 'DATE'}, {'label': 'Date_value', 'transcription': '12/30/2016FRI'}, {'label': 'Time_value', 'transcription': '19:19'}, {'label': 'Prod_item_value', 'transcription': 'BIBIM.OCTOPUT1'}, {'label': 'Prod_item_value', 'transcription': 'S-FOODP.CAKT1'}, {'label': 'Prod_item_value', 'transcription': 'PORKDUMPLINT1'}, {'label': 'Prod_item_value', 'transcription': 'LABEEFRIBT1'}, {'label': 'Prod_price_value', 'transcription': '$13.99'}, {'label': 'Prod_price_value', 'transcription': '$14.99'}, {'label': 'Prod_price_value', 'transcription': '$8.99'}, {'label': 'Prod_price_value', 'transcription': '￥17.99'}, {'label': 'Prod_item_key', 'transcription': '4.00xITEMS'}, {'label': 'Subtotal_key', 'transcription': 'SUBTOTAL'}, {'label': 'Tax_key', 'transcription': 'TAX1'}, {'label': 'Total_key', 'transcription': 'TOTAL'}, {'label': 'Subtotal_value', 'transcription': '$55.96'}, {'label': 'Tax_value', 'transcription': '$4.48'}, {'label': 'Total_value', 'transcription': '$60.44'}, {'label': 'Ignore', 'transcription': ''}, {'label': 'Ignore', 'transcription': ''}, {'label': 'Time_key', 'transcription': 'TIME'}]
Sample: ocr_labels
[{'label': 'Store_name_value', 'transcription': 'CHOEUN', 'points': [[114.0, 19.0], [230.0, 19.0], [230.0, 1.0], [114.0, 1.0]]}, {'label': 'Store_name_value', 'transcription': 'KOREANRESTAURANT', 'points': [[97.0, 35.0], [236.0, 35.0], [236.0, 19.0], [97.0, 19.0]]}, {'label': 'Store_addr_value', 'transcription': '2621ORANGETHORPEAVE,FULLERTON.', 'points': [[29.0, 56.0], [295.0, 56.0], [295.0, 34.0], [29.0, 34.0]]}, {'label': 'Tel_value', 'transcription': '(714)879-3574', 'points': [[48.0, 73.0], [280.0, 73.0], [280.0, 54.0], [48.0, 54.0]]}, {'label': 'Others', 'transcription': 'THANKYOU!!', 'points': [[79.0, 92.0], [259.0, 92.0], [259.0, 74.0], [79.0, 74.0]]}, {'label': 'Date_key', 'transcription': 'DATE', 'points': [[22.0, 130.0], [61.0, 130.0], [61.0, 112.0], [22.0, 112.0]]}, {'label': 'Date_value', 'transcription': '12/30/2016FRI', 'points': [[70.0, 131.0], [192.0, 131.0], [192.0, 112.0], [70.0, 112.0]]}, {'label': 'Time_value', 'transcription': '19:19', 'points': [[263.0, 128.0], [307.0, 128.0], [307.0, 111.0], [263.0, 111.0]]}, {'label': 'Prod_item_value', 'transcription': 'BIBIM.OCTOPUT1', 'points': [[19.0, 168.0], [157.0, 168.0], [157.0, 149.0], [19.0, 149.0]]}, {'label': 'Prod_item_value', 'transcription': 'S-FOODP.CAKT1', 'points': [[17.0, 190.0], [158.0, 190.0], [158.0, 171.0], [17.0, 171.0]]}, {'label': 'Prod_item_value', 'transcription': 'PORKDUMPLINT1', 'points': [[14.0, 214.0], [158.0, 214.0], [158.0, 192.0], [14.0, 192.0]]}, {'label': 'Prod_item_value', 'transcription': 'LABEEFRIBT1', 'points': [[14.0, 236.0], [151.0, 236.0], [151.0, 215.0], [14.0, 215.0]]}, {'transcription': '$13.99', 'points': [[254.0, 168.0], [312.0, 168.0], [312.0, 149.0], [254.0, 149.0]]}, {'transcription': '$14.99', 'points': [[257.0, 189.0], [314.0, 189.0], [314.0, 170.0], [257.0, 170.0]]}, {'transcription': '$8.99', 'points': [[268.0, 212.0], [316.0, 212.0], [316.0, 191.0], [268.0, 191.0]]}, {'transcription': '￥17.99', 'points': [[261.0, 234.0], [318.0, 234.0], [318.0, 213.0], [261.0, 213.0]]}, {'label': 'Prod_item_key', 'transcription': '4.00xITEMS', 'points': [[118.0, 260.0], [217.0, 260.0], [217.0, 239.0], [118.0, 239.0]]}, {'label': 'Subtotal_key', 'transcription': 'SUBTOTAL', 'points': [[8.0, 285.0], [91.0, 285.0], [91.0, 264.0], [8.0, 264.0]]}, {'label': 'Tax_key', 'transcription': 'TAX1', 'points': [[8.0, 312.0], [49.0, 312.0], [49.0, 291.0], [8.0, 291.0]]}, {'label': 'Total_key', 'transcription': 'TOTAL', 'points': [[8.0, 336.0], [61.0, 336.0], [61.0, 316.0], [8.0, 316.0]]}, {'label': 'Subtotal_value', 'transcription': '$55.96', 'points': [[263.0, 283.0], [325.0, 283.0], [325.0, 260.0], [263.0, 260.0]]}, {'label': 'Tax_value', 'transcription': '$4.48', 'points': [[274.0, 308.0], [326.0, 308.0], [326.0, 286.0], [274.0, 286.0]]}, {'label': 'Total_value', 'transcription': '$60.44', 'points': [[267.0, 334.0], [328.0, 334.0], [328.0, 310.0], [267.0, 310.0]]}, {'label': 'Ignore', 'transcription': '', 'points': [[269.0, 347.0], [328.0, 347.0], [328.0, 336.0], [269.0, 336.0]]}, {'label': 'Ignore', 'transcription': '', 'points': [[11.0, 347.0], [50.0, 347.0], [50.0, 342.0], [11.0, 342.0]]}, {'label': 'Time_key', 'transcription': 'TIME', 'points': [[215.0, 128.0], [253.0, 128.0], [253.0, 112.0], [215.0, 112.0]]}]
Sample: ocr_boxes
[[[[113.0, 0.0], [228.0, 3.0], [227.0, 20.0], [113.0, 17.0]], ('CHO EUN', 0.9466678500175476)], [[[96.0, 17.0], [236.0, 21.0], [236.0, 38.0], [96.0, 33.0]], ('KOREAN RESTAURANT', 0.9685913324356079)], [[[28.0, 32.0], [293.0, 37.0], [292.0, 56.0], [28.0, 51.0]], ('2621 ORANGETHORPE AVE,FULLERTON.', 0.951709508895874)], [[[48.0, 53.0], [279.0, 56.0], [279.0, 73.0], [47.0, 70.0]], ('714879-3574', 0.9919183850288391)], [[[81.0, 75.0], [256.0, 75.0], [256.0, 89.0], [81.0, 89.0]], ('THANKYOU!!', 0.9518492817878723)], [[[24.0, 113.0], [191.0, 113.0], [191.0, 127.0], [24.0, 127.0]], ('DATE12/30/2016 FRI', 0.9638745784759521)], [[[214.0, 111.0], [305.0, 109.0], [306.0, 125.0], [215.0, 128.0]], ('TIME19:19', 0.9523274898529053)], [[[18.0, 150.0], [156.0, 149.0], [156.0, 167.0], [18.0, 168.0]], ('BIBIM.OCTOPU T1', 0.9491282105445862)], [[[253.0, 147.0], [312.0, 144.0], [313.0, 166.0], [254.0, 168.0]], ('$13.99', 0.9204174876213074)], [[[16.0, 172.0], [157.0, 170.0], [157.0, 187.0], [16.0, 189.0]], ('S-FOODP.CAKT1', 0.9633263945579529)], [[[255.0, 168.0], [313.0, 168.0], [313.0, 189.0], [255.0, 189.0]], ('$14.99', 0.9975371956825256)], [[[15.0, 194.0], [157.0, 192.0], [157.0, 210.0], [15.0, 212.0]], ('PORK DUMPLIN T1', 0.9503927826881409)], [[[265.0, 190.0], [317.0, 188.0], [318.0, 209.0], [266.0, 212.0]], ('$8.99', 0.9171518087387085)], [[[12.0, 217.0], [149.0, 213.0], [149.0, 233.0], [12.0, 236.0]], ('LA BEEF RIB T1', 0.925663948059082)], [[[258.0, 213.0], [319.0, 210.0], [320.0, 232.0], [259.0, 235.0]], ('$17.99', 0.9976120591163635)], [[[119.0, 237.0], [217.0, 237.0], [217.0, 258.0], [119.0, 258.0]], ('4.00xITEMS', 0.9557921290397644)], [[[9.0, 264.0], [90.0, 262.0], [90.0, 284.0], [9.0, 286.0]], ('SUBTOTAL', 0.9968011379241943)], [[[263.0, 261.0], [324.0, 259.0], [325.0, 281.0], [264.0, 283.0]], ('$55.96', 0.9971590042114258)], [[[8.0, 289.0], [50.0, 289.0], [50.0, 311.0], [8.0, 311.0]], ('TAX1', 0.9973537921905518)], [[[273.0, 286.0], [326.0, 283.0], [328.0, 306.0], [274.0, 309.0]], ('$4.48', 0.991606593132019)], [[[9.0, 315.0], [61.0, 315.0], [61.0, 337.0], [9.0, 337.0]], ('TOTAL', 0.9985822439193726)], [[[266.0, 312.0], [328.0, 309.0], [328.0, 331.0], [267.0, 333.0]], ('$60.44', 0.9942547678947449)], [[[269.0, 334.0], [326.0, 334.0], [326.0, 347.0], [269.0, 347.0]], ('$60AA', 0.7674070596694946)]]
Curation Rationale
The curated dataset was created to provide a source of OCR augmented text data for own personal AI research use. The datapoints are intended primarily to provide an enhancement of the core Receipt Image Collection data which relies upon the key information extraction from receipt image.
Data Source and Prepratation
- This dataset use the great work from WildReceipt is a large receipt dataset collected from document images of unseen templates in the wild. It contains 25 key information categories, a total of about 69000 text boxes. Offical dataset: https://download.openmmlab.com/mmocr/data/wildreceipt.tar
- OCR text data is generated using techniques OCR scaned on each image.
- Additional Post progressing OCR result into XML, JSON and Words format
License: Please check out the license of each subset in our curated dataset.