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bub_gb_xF9DAAAAcAAJ | Johannes Hevelius | Annus climatericus, sive rerum uranicarum observationum annus quadragesimus nonus ... | 1,685 | 123,179 | "I. НЕѴЕІЛІ \n\n\n\n\nСЫМАСТЕКІ- \n\n\nсш. \n\n\nАЫЫО М. ОС. ЕХХХѴ. \n(...TRUNCATED) | 0 |
zhurnalminister58unkngoog | Russia. Ministerstvo narodnago prosvi͡eshchenīi͡a | Zhurnal Ministerstva narodnago prosvi͡eshchenii͡a | 1,834 | 309,484 | "Т1118 18 а сИ^ка! сору о^ а Ьоок Ша! \\уа8 рге8егуе(1 ^ог (...TRUNCATED) | 1 |
bub_gb_u2whq4Eo1hUC | Giano Teseo Casopero | "Iani Thesei Casoperi psychronaei Syluarum libri duo. Eiusdem elegiarum et epigrammaton libri quattu(...TRUNCATED) | 1,535 | 49,287 | "\n\n\n\n<5 . . А . В \n\nѵ Ѵп л Г Ѵ_ - і* .*> ’* \n\nI* -^Иі А-7-‘ - *=• ^ *\" 2 (...TRUNCATED) | 2 |
russkiidekameron00ivan | Ivanov, I. (Ivan) | Russkii Dekameron 1831-go goda | 1,836 | 14,087 | "4 У*Хть? X \n\n\n:3 \n\n\nО N О \n\n\n•\" ^ \n\n\n^^'Ѵ* .. Ч'*^Ѵ Ч%-^Ѵ .-.(...TRUNCATED) | 3 |
sochinenia00derzgoog | Derzhavin, Gavriil Romanovich, 1743-1816. [from old catalog] | Sochinenīi͡a | 1,833 | 26,828 | "Соо^к \n\n\n\nТЬ1К 1К а (31§1[а1 сору оГ а Ьоок [Ьа[ вдак ргсксг(...TRUNCATED) | 4 |
sistematicheskii00mdol | M.D. Olkhin (Firm) | Sistematicheskii reestr russkim knigam c 1831 po 1846 god | 1,846 | 198,636 | "л.. . \n\n\n\n*. / \n\n\n\n.>,' V \n\n\n\n\n\n\n\n\n\n• Ь V \n\n\n\nV^^ \n\n\n\n^* \n\n\n\n. V (...TRUNCATED) | 5 |
sobranetraktato03martgoog | Martens, Fedor Fedorovich, 1845-1909 | "Sobranīe traktatov i konvent͡sīĭ, zakli͡uchennykh Rossīei͡u s inostrannymi derzhavami ..(...TRUNCATED) | 1,874 | 262,752 | "Т1118 18 а сИ^ка! сору о^ а Ьоок Ша! \\уа8 рге8егуе(1 ^ог (...TRUNCATED) | 6 |
vyderzhkiizzapis008800 | "Abdurakhman, 1837-1901 | Runovskii, A. (Apollon) aui | Gering, A. A. (Aleksei A.), former owner (RB(...TRUNCATED) | "Vyderzhki iz zapisok Abdurrakhmana syna Dzhemaleddinova, o prebyvanii Shamilia v Vedenie i o proche(...TRUNCATED) | 1,862 | 12,432 | "?1 \n\n\nV \n\n\n^ги**^ \n\n\nСЫНА ДЖЕМАЛЭДПиОВА, \n\n\nо \n\n\nПРББЫВА(...TRUNCATED) | 7 |
sochineniaaspus00efregoog | "Pushkin, Aleksandr Sergeevich, 1799-1837 | Efremov, Petr Aleksandrovīch, 1830-1907, [from old cat(...TRUNCATED) | Sochineniia A. S. Pushkina | 1,882 | 163,159 | "Соо^к \n\n\nТЬ1К 1К а (31§1[а1 сору оГ а Ьоок [Ьа[ вдак ргс(...TRUNCATED) | 8 |
bub_gb_MO4ubm0zykoC | Floris : van der Haer | "Antiquitatum liturgicarum arcana. Concionatoribus & pastoribus vberrimum promptuarium, sacerdotibus(...TRUNCATED) | 1,605 | 227,947 | "АМПОЧТАТУМ \nНТОАС!САКОМ \nАВСАМА. \n\n\nСОМСОМАТОНВВ \nИ &.(...TRUNCATED) | 9 |
🇷🇺 Russian Public Domain 🇷🇺
Russian-Public Domain or Russian-PD is a large collection aiming to aggregate all Russian monographies and periodicals in the public domain.
Dataset summary
The collection contains 8525 titles making up 995,163,165 words recovered from the Internet Archive. Each parquet file has the full text of 2,000 books selected at random.
Curation method
The composition of the dataset adheres to the criteria for public domain works in the Russian Federation: any publication whose author is dead for more than 70 years.
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.
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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