Datasets:
file_id
stringlengths 4
134
| date
stringclasses 441
values | word_count
int64 6
2.55M
| character_count
int64 41
19.2M
| complete_text
stringlengths 41
19.2M
| ocr_quality
int64 0
100
⌀ | share_nonchar
int64 0
97
⌀ |
|---|---|---|---|---|---|---|
Svoboda-1919-146_djvu | 1919 | 24,985 | 155,309 | "\nУСПІШНИЙ НАСТУП БОЛЬШЕВИКІВ НА ФРОНТІ ВІЛ КИЄВА \n\n:і (...TRUNCATED) | 57 | 12 |
viestnikopytnof00unkngoog_djvu | NA | 86,199 | 604,901 | "Соо^іе \n\n\n\nТЬік ік а (Зі§і[а1 сору оґ а Ьоок іЬаі вдак рг(...TRUNCATED) | 57 | 57 |
BEB_1886_No.27_official_djvu | 1886 | 12,468 | 85,335 | "\nX. \n\nПр АВИТЕЛЬСТВЕННЬІЯ РАСПОРЯЖЕНІЯ. \n\n\nВиходять т(...TRUNCATED) | 34 | 18 |
KEB_1902_No.01_unofficial_part_djvu | 1902 | 16,593 | 125,385 | "Й*й3 КІЕВСКІЯ сю \n\n\n\nЦіна годовому изданію ^ Ввіходить (...TRUNCATED) | 51 | 2 |
Perec_1947_23_djvu | 1947 | 4,512 | 30,055 | "ЦІНА 1 КРБ. \n\n\n\n№ 23, КИЇВ, ГРУДЕНЬ 1947 р. \n\n\n\n\nРІК ВИДАНН(...TRUNCATED) | 88 | 2 |
Svoboda-1921-281_djvu | 1921 | 11,937 | 76,357 | "\nРАДИ \n\n\n\n\nНЮ ЙОМ,: А п^ума. — Хоч Зедізйича Робітнича (...TRUNCATED) | 58 | 6 |
Svoboda-1922-165_djvu | 1922 | 11,700 | 73,476 | "\nГРИ ЦЕИТИ \n\n\n\nЧисло 165. л, пер лі Ситі, н. Дш., середа, 19. (...TRUNCATED) | 71 | 6 |
Svoboda-1935-081_djvu | 1935 | 10,533 | 65,615 | "\nУРЯДОВИЙ ОРГАН ЗЛПОМОГОВОІ ОРГЛШЗАЩІ УКРАЇНСЬКИЙ НА(...TRUNCATED) | 85 | 3 |
spivanykurainsky00unse_djvu | NA | 13,217 | 84,934 | "СЬПІВАНИК \n\nУКРАЇНСЬКИХ \n\nСІЧОВИХ \n\nСТРІЛЬЦІВ \n\n\nВІ(...TRUNCATED) | 67 | 13 |
Svoboda-1935-260_djvu | 1935 | 11,165 | 69,084 | "\n■н \n\n\n\nТРИ ценТИ.'Р!к ХШ. Ч. 2в0. Джерзі Суті, Н. Дж., четв(...TRUNCATED) | 83 | 3 |
🇺🇦 Ukrainian-Cultural Heritage-Books 🇺🇦
Ukrainian-Cultural Heritage-Books or Ukrainian-CulturalHeritage-Books is a collection of Ukrainian cultural heritage books and periodicals, most of them being in the public domain.
Dataset summary
The collection has been compiled by Pierre-Carl Langlais from 19,574 digitized files hosted on Internet Archive (462M words) and will be expanded to other cultural heritage sources.
Curation method
The composition of the dataset adheres to the criteria for public domain works in the EU and, consequently, all Berne-countries for EU authors: any publication whose author is dead for more than 70 years. Additionally, the initial consolidation of public domain status for cultural heritage operates in the EU under the 2019 Copyright Directive (art. 14).
As of March 2024, to limit rights verification, we have retained exclusively titles published prior to 1884.
The corpus will be expanded at a later stage to encompass late 19th century and early 20th century publications, after checking for public domain validity.
Uses
The collection aims to expand the availability of open works for the training of Large Language Models. The text can be used for model training and republished without restriction for reproducibility purposes.
The rationales for creation of this collection are multifold:
- Scientific: We observe that the closure of training corpora represents a major barrier to AI research. Large language models face a real crisis of reproducibility.
- Legal: With the adoption of the AI Act with its obligations in terms of copyright law compliance for the pretraining corpora, the European AI ecosystem will have to change its provenance practices.
- Cultural: The linguistic diversity of the European Union is currently underrepresented. Unlike web archives, open, heritage, administrative, or scientific texts are often of high quality: they are long, multilingual, and editorialized publications.
- Economical: Today, value capture is concentrated on players whose financial resources are already considerable, allowing them to collect or purchase data at a high price. Making a royalty-free corpus available to as many people as possible frees innovation in uses and minimizes economic dependencies on dominant actors.
License
The entire collection is in the public domain in all regions. This means that the patrimonial rights of each individual or collective right holders have expired.
There has been a debate for years in Europe over the definition of public domain and the possibility to restrict its use. Since 2019, the EU Copyright Directive states that "Member States shall provide that, when the term of protection of a work of visual art has expired, any material resulting from an act of reproduction of that work is not subject to copyright or related rights, unless the material resulting from that act of reproduction is original in the sense that it is the author's own intellectual creation." (art. 14)
Future work
This dataset is not a one-time work but will continue to evolve significantly in three directions:
- Expansion of the dataset to the late 19th and early 20th century works and its further enhancement with currently unexploited collections coming from European patrimonial data repositories.
- Correction of computer generated errors in the text. All the texts have been transcribed automatically through the use of Optical Character Recognition (OCR) software. The original files have been digitized over a long time period (since the mid-2000s) and some documents should be. Future versions will strive either to re-OCRize the original text or use experimental LLM models for partial OCR correction.
- Enhancement of the structure/editorial presentation of the original text. Some parts of the original documents are likely unwanted for large scale analysis or model training (header, page count…). Additionally, some advanced document structures like tables or multi-column layout are unlikely to be well-formatted.
Acknowledgements
The corpus was stored and processed with the generous support of Scaleway. It was built up with the support and concerted efforts of the state start-up LANGU:IA (start-up d’Etat), supported by the French Ministry of Culture and DINUM, as part of the prefiguration of the service offering of the Alliance for Language technologies EDIC (ALT-EDIC).
Corpus collection has been largely facilitated thanks to the open science LLM community insights and cooperation (Occiglot, Eleuther AI, Allen AI).
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