Datasets:
Alignment-Lab-AI
/
logtest2

Dataset card Data Studio Files
xet
Community
text
stringlengths
0
3.47k
"metadata": {
"format": "PDF 1.5",
"title": "",
"author": "",
"subject": "",
"keywords": "",
"creator": "QuarkXPress\u00aa: AdobePS 8.8.0 (301)",
"producer": "Acrobat Distiller 6.0.1 (Windows)",
"creationDate": "D:20060531153638+08'00'",
"modDate": "D:20060531155729+08'00'",
"trapped": "",
"encryption": null
}
}
Classify parameters:
total_page (expected: int): 599
page_width (expected: int): 441
page_height (expected: int): 666
img_sz_list (expected: list of lists): [[], [[52, 606, 162, 636, 13]], [], [], []]...
text_len_list (expected: list of ints): [41, 124, 1516, 1091, 1091]...
img_num_list (expected: list of ints): [0, 1, 0, 0, 0]...
text_layout_list (expected: list of strs): ['horizontal', 'horizontal', 'horizontal', 'horizontal', 'horizontal']...
invalid_chars (expected: bool): True
Classification Results:
is_text_pdf (expected: bool): True
classification_results (expected: dict): {'by_image_area': True, 'by_text_len': True, 'by_avg_words': True, 'by_img_num': True, 'by_text_layout': True, 'by_img_narrow_strips': True, 'by_invalid_chars': True}
Image writer initialized: <magic_pdf.rw.DiskReaderWriter.DiskReaderWriter object at 0x7f1c3e8185d0>
UNIPipe initialized: <magic_pdf.pipe.UNIPipe.UNIPipe object at 0x7f1c3e5f4650>
pipe_classify result (expected: str): None
Detailed pipe_analyze Inputs for input/f2f24088a4ac947b8f3b29ace552cb90.pdf:
parse_type (expected: str): None
Error in pipe_analyze for input/f2f24088a4ac947b8f3b29ace552cb90.pdf: No module named 'paddle'
GPU 3 - Batch size: 1, VRAM usage: 0.00GB / 44.34GB
Processing PDF: input/e0f88b7f2e5a62dec8f0a1825a312092.pdf
Metadata (expected: dict): {
"is_needs_password": 0,
"is_encrypted": false,
"total_page": 236,
"page_width_pts": 482,
"page_height_pts": 680,
"image_info_per_page": [
[],
[],
[],
[],
[],
[],
[],
[],
[],
[],
[
[
56,
309,
383,
528,
45
]
],
[],
[
[
141,
269,
382,
475,
53
]
],
[
[
102,
354,
317,
592,
58
]
],
[],
[],
[
[
108,
57,
380,
390,
68
]
],
[
[
102,
421,
318,
590,
73
]
],
[],