📄 FinePDFs
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78 items
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Updated
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11
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filename
string | pdf
pdf | annotation
string | class
string | truncation_type
string | pdf_size_bytes
int64 |
|---|---|---|---|---|---|
record_0.pdf
|
scanned
|
OCR
|
non_truncated
| 35,805 |
|
record_1.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 151,788 |
|
record_10.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 1,044,604 |
|
record_100.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 155,796 |
|
record_101.pdf
|
partial-ocr-needed
|
OCR
|
non_truncated
| 612,008 |
|
record_102.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 27,251 |
|
record_103.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 97,944 |
|
record_104.pdf
|
partial-ocr-needed
|
OCR
|
non_truncated
| 887,559 |
|
record_105.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 359,926 |
|
record_106.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 640,203 |
|
record_107.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 585,603 |
|
record_108.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 7,053 |
|
record_109.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 106,132 |
|
record_11.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 9,409 |
|
record_110.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 73,465 |
|
record_111.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 338,323 |
|
record_112.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 475,713 |
|
record_113.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 295,415 |
|
record_114.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 191,018 |
|
record_115.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 130,847 |
|
record_116.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 75,545 |
|
record_117.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 786,296 |
|
record_118.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 181,821 |
|
record_119.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 9,911 |
|
record_12.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 6,422 |
|
record_120.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 176,815 |
|
record_1000.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 221,405 |
|
record_1001.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 350,938 |
|
record_1002.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 590,391 |
|
record_1003.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 542,029 |
|
record_1004.pdf
|
scanned
|
OCR
|
non_truncated
| 906,859 |
|
record_1005.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 475,581 |
|
record_1006.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 656,774 |
|
record_1007.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 417,899 |
|
record_1008.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 866,397 |
|
record_1010.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 611,672 |
|
record_1011.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 218,679 |
|
record_1012.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 997,922 |
|
record_1013.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 39,989 |
|
record_1014.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 83,893 |
|
record_1015.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 15,872 |
|
record_1016.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 157,212 |
|
record_1017.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 16,919 |
|
record_1018.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 643,092 |
|
record_1019.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 700,613 |
|
record_1020.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 33,517 |
|
record_1021.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 95,449 |
|
record_1022.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 110,130 |
|
record_1023.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 21,701 |
|
record_1024.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 241,879 |
|
record_1025.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 119,892 |
|
record_1026.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 123,934 |
|
record_1009.pdf
|
scanned
|
OCR
|
non_truncated
| 312,412 |
|
record_1027.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 139,627 |
|
record_1028.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 237,247 |
|
record_1029.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 194,930 |
|
record_1030.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 353,911 |
|
record_1031.pdf
|
partial-ocr-needed
|
OCR
|
non_truncated
| 634,845 |
|
record_1032.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 3,426 |
|
record_1033.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 144,244 |
|
record_1034.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 74,295 |
|
record_1035.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 155,866 |
|
record_1036.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 383,532 |
|
record_1037.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 436,296 |
|
record_1038.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 25,773 |
|
record_1039.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 75,957 |
|
record_1040.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 8,286 |
|
record_1041.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 656,302 |
|
record_1042.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 487,670 |
|
record_1043.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 204,284 |
|
record_1044.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 107,522 |
|
record_1045.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 129,991 |
|
record_1046.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 219,998 |
|
record_1047.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 1,981 |
|
record_1048.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 75,532 |
|
record_1049.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 46,851 |
|
record_1050.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 227,509 |
|
record_1051.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 180,824 |
|
record_1052.pdf
|
partial-ocr-needed
|
OCR
|
non_truncated
| 788,803 |
|
record_1053.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 853,568 |
|
record_1054.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 394,203 |
|
record_1055.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 89,234 |
|
record_1056.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 44,628 |
|
record_1057.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 277,524 |
|
record_1058.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 21,425 |
|
record_1059.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 78,705 |
|
record_1060.pdf
|
scanned
|
OCR
|
non_truncated
| 384,000 |
|
record_1061.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 197,723 |
|
record_1062.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 791 |
|
record_1063.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 319,788 |
|
record_1064.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 736,863 |
|
record_1065.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 59,648 |
|
record_1066.pdf
|
partial-ocr-needed
|
OCR
|
non_truncated
| 671,354 |
|
record_1067.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 338,335 |
|
record_1068.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 69,602 |
|
record_1069.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 110,768 |
|
record_1070.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 47,662 |
|
record_1071.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 360,958 |
|
record_1072.pdf
|
no-ocr-needed
|
NOCR
|
non_truncated
| 756,767 |
|
record_1073.pdf
|
partial-ocr-needed
|
OCR
|
non_truncated
| 326,193 |
End of preview.
PDF OCR Classification Dataset
This dataset contains PDF documents with annotations for OCR classification tasks.
Dataset Structure
Each row contains:
filename: Original PDF filenamepdf: PDF file as binary data (using Pdf feature type)class: Binary classification label (OCR/NOCR)truncation_type: Whether the PDF is truncated or non-truncatedpdf_size_bytes: Size of the PDF file in bytes
Class Distribution
class NOCR 1393 OCR 227
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("HuggingFaceFW/ocr-annotations")
# Access train split
train_data = dataset['train']
# Access a sample
sample = train_data[0]
pdf_bytes = sample['pdf'] # This will be bytes
label = sample['class']
License
Please check the original data source for licensing information.
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