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Leipzig Corpora Collection
Text corpora from Wortschatz Leipzig (Universität Leipzig): 16 corpora in 6 languages, 8,501,333 sentences, plus word lists, source URLs and co-occurrence tables.
Load
from datasets import load_dataset
ds = load_dataset("rustemgareev/wortschatz", "sentences")
print(ds["rus_news_2024_1M"][0])
# {'s_id': 1, 'sentence': '...'}
One config per table type, one split per corpus.
What's inside
| config | columns | rows | note |
|---|---|---|---|
sentences |
s_id, sentence | 8,501,333 | |
words |
w_id, word, word_ci, freq | 6,828,545 | word_ci is empty except in chv_community_2017 |
sources |
so_id, source, date | 3,176,950 | source = URL, date = as scraped |
co_n |
w1_id, w2_id, freq, sig | 4,737,462 | co-occurring words as immediate neighbours |
co_s |
w1_id, w2_id, freq, sig | 28,374,188 | co-occurring words in the same sentence |
inv_w |
w_id, s_id, pos | 144,585,828 | word position in the sentence; empty for rus_web_2002 and rus_wikipedia_2010 |
inv_so |
so_id, s_id | 8,501,333 | links sentences to sources |
meta |
run, attribute, value | 140 | only 8 of 16 corpora |
Corpora
| split | original name | language | domain | year | sentences |
|---|---|---|---|---|---|
bak_news_2017_100K |
bak_news_2017_100K | Bashkir | news | 2017 | 100,000 |
bul_news_2022_100K |
bul_news_2022_100K | Bulgarian | news | 2022 | 100,000 |
chv_community_2017 |
chv_community_2017 | Chuvash | community | 2017 | 71,333 |
hin_news_2022_100K |
hin_news_2022_100K | Hindi | news | 2022 | 100,000 |
ind_news_2024_100K |
ind_news_2024_100K | Indonesian | news | 2024 | 100,000 |
ind_news_2024_10K |
ind_news_2024_10K | Indonesian | news | 2024 | 10,000 |
rus_md_web_2016_1M |
rus-md_web_2016_1M | Russian (Moldova) | web | 2016 | 1,000,000 |
rus_ru_web_public_2019_10K |
rus-ru_web-public_2019_10K | Russian (Russia) | web | 2019 | 10,000 |
rus_ru_web_public_2019_1M |
rus-ru_web-public_2019_1M | Russian (Russia) | web | 2019 | 1,000,000 |
rus_ua_web_2015_1M |
rus-ua_web_2015_1M | Russian (Ukraine) | web | 2015 | 1,000,000 |
rus_newscrawl_public_2018_1M |
rus_newscrawl-public_2018_1M | Russian | newscrawl | 2018 | 1,000,000 |
rus_news_2024_10K |
rus_news_2024_10K | Russian | news | 2024 | 10,000 |
rus_news_2024_1M |
rus_news_2024_1M | Russian | news | 2024 | 1,000,000 |
rus_web_2002_1M_text |
rus_web_2002_1M-text | Russian | web | 2002 | 1,000,000 |
rus_wikipedia_2010_1M_text |
rus_wikipedia_2010_1M-text | Russian | Wikipedia | 2010 | 1,000,000 |
rus_wikipedia_2021_1M |
rus_wikipedia_2021_1M | Russian | Wikipedia | 2021 | 1,000,000 |
Notes
- Split names use underscores (
rus_ua_web_2015_1M) because HuggingFace does not allow hyphens; file names keep the original names. - Files are tab-separated without header rows; column names come from the dataset configuration.
- Empty
word_ci/poscolumns were added so that all splits of a config share the same schema.
License
© Universität Leipzig, Wortschatz Leipzig. According to the Terms of Usage, the downloadable text corpora are published under CC BY 4.0.
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