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Datasets:
BEE-spoke-data
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SurvivorLib-Nanonets-OCR-s

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Pottery
history_of_the_ceramic_art_1873
"<img>White background with no visible content.</img>\n\f\nPL. 76\n\n<watermark>de Bergmann, d.</wat(...TRUNCATED)
ENGLISH
Pottery
pottery_for_artists_craftsmen_and_teachers_illustrated-1914
"<watermark>07-18-2023 15:36:49</watermark>\n\f\n<img>A pattern of the University of California seal(...TRUNCATED)
ENGLISH
Pottery
catalogue_of_arretine_pottery-1916
"<img>Image of a worn book page with visible wear and tear.</img>\n\f\n<img>\nA circular seal with t(...TRUNCATED)
ENGLISH
Pottery
pottery-how_it_is_made_1878
"<watermark>CORNELL UNIVERSITY LIBRARY</watermark>\n\f\narV\n18193\n\nCORNELL\nUNIVERSITY\nLIBRARY\n(...TRUNCATED)
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Pottery
porcelain_oriental_continental_and_british-a_book_of_handy_reference_for_collectors-1906
"福 ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧ ⑧(...TRUNCATED)
ENGLISH
Pottery
the_chemistry_of_pottery-1895
"<img>A maroon-colored background with a subtle texture.</img>\n\f\n<img>\nA circular seal with Lati(...TRUNCATED)
ENGLISH
Pottery
marks_of_american_potters_1904
"<img>White background with no visible content.</img>\n\f\nMARKS\nOF\nAMERICAN POTTERS\n\nBY\nEDWIN (...TRUNCATED)
ENGLISH
Pottery
rotary_kiln-1910
"THE ROTARY KILN\nE. SOPER\nARMOUR INSTITUTE OF TECHNOLOGY\n1910\n\n682. 9\nSo 6\n\f\n<img>A stylize(...TRUNCATED)
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Pottery
the_encyclopedia_of_ceramics-1902
"<img>White background with no visible content.</img>\n\f\n<img>A black-and-white portrait of a man (...TRUNCATED)
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Pottery
the_useful_properties_of_clays-1904
"UC-NRLF\n<img>barcode</img>\n83071487\n\f\n<img>\nA circular seal with the text \"UNIVERSITATIS CAL(...TRUNCATED)
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Dataset Card for "SurvivorLib-Nanonets-OCR-s"

An initial version of the Survivor Library OCR'd via Nanonets-OCR-s.

OCR of the books was completed by page, then joined together. You can split the text col on \f to get the pages for any given book
OCR of ancient books is not perfect - some pages have issues. We plan to attempt to detect these and fix/update over time
More details to come

Stats

Token Count

GPT-4 tiktoken token count:

        token_count
count  1.438300e+04
mean   1.498579e+05
std    3.006211e+05
min    7.000000e+00
25%    2.927400e+04
50%    5.170400e+04
75%    1.573685e+05
max    4.910443e+06
  • Total count: 2155.41 M tokens
Downloads last month
142
Size of the auto-converted Parquet files (First 5GB):
2.19 GB
Number of rows (First 5GB):
7,991
Estimated number of rows:
11,733

Collection including BEE-spoke-data/SurvivorLib-Nanonets-OCR-s