Wesbury Lab Usenet Corpus: anonymized compilation of postings from 47,860 newsgroups that are english-language 2005-2010 (40 GB)
Wesbury Lab Wikipedia Corpus Snapshot of all of the articles when you look at the English section of the Wikipedia that has been drawn in April 2010. It had been prepared, as described in more detail below, to get rid of all links and unimportant product (navigation text, etc) The corpus is untagged, natural text. Utilized by Stanford NLP (1.8 GB).
: a corpus of manually-constructed description graphs, explanatory part reviews, and associated semistructured tablestore for many publicly available primary technology exam questions in the usa (8 MB)
Wikipedia Extraction (WEX): a prepared dump of english language wikipedia (66 GB)
Wikipedia XML information: complete content of most Wikimedia wikis, by means of wikitext supply and metadata embedded in XML. (500 GB)
Yahoo! Responses Comprehensive Questions and Responses: Yahoo! Answers corpus at the time of 10/25/2007. Contains 4,483,032 concerns and their responses. (3.6 GB)
Yahoo! Responses composed of concerns expected in French: Subset regarding the Yahoo! Answers corpus from 2006 to 2015 consisting of 1.7 million concerns posed in French, and their matching responses. (3.8 GB)
Yahoo! Answers Manner issues: subset of this Yahoo! Responses corpus from a 10/25/2007 dump, chosen with regards to their linguistic properties. Contains 142,627 concerns and their responses. (104 MB)
Yahoo! HTML Forms removed from Publicly Webpages that is available a little test of pages containing complex HTML kinds, contains 2.67 million complex kinds. (50+ GB)
Yahoo N-Gram Representations: This dataset contains n-gram representations. The information may act as a testbed for question rewriting task, an universal problem in IR research along with to term and phrase similarity task, which will be typical in NLP research. (2.6 GB)
Yahoo! N-Grams, version 2.0: n-grams (letter = 1 to 5), removed from the corpus of 14.6 million papers (126 million unique sentences, 3.4 billion running words) crawled from over 12000 news-oriented internet web web sites (12 GB)
Yahoo! Re Re Re Search Logs with Relevance Judgments: Annonymized Yahoo! Re Search Logs with Relevance Judgments (1.3 GB)
Yahoo! Semantically Annotated Snapshot of this English Wikipedia: English Wikipedia dated from 2006-11-04 prepared with a wide range of publicly-available NLP tools. 1,490,688 entries. (6 GB)
Yelp: including restaurant ranks and 2.2M reviews (on request)
Youtube: 1.7 million youtube videos information (torrent)
- Awesome general public datasets/NLP (includes more listings)
- AWS Public Datasets
- CrowdFlower: information for everybody (a lot of small surveys they carried out and data acquired by crowdsourcing for the certain task)
- Kaggle 1, 2 (make certain though that the kaggle competition information may be used not in the competition! )
- Open Library
- Quora (primarily annotated corpora)
- /r/datasets (endless range of datasets, many is scraped by amateurs though and never correctly documented or certified)
- Rs.io (another big list)
- Stackexchange: Opendata
- Stanford NLP team (primarily annotated corpora and TreeBanks or actual NLP tools)
- Yahoo! Webscope (also contains papers which use the info this is certainly supplied)
- SaudiNewsNet: 31,030 Arabic magazine articles alongwith metadata, obtained from different online Saudi magazines. (2 MB)
- Assortment of Urdu Datasets for POS, NER and NLP tasks.
German governmental Speeches Corpus: assortment of present speeches held by top German representatives (25 MB, 11 MTokens)
NEGRA: A Syntactically Annotated Corpus of German Newspaper Texts. Designed for free for many Universities and organizations that are non-profit. Have to signal and deliver kind to have. (on demand)
Ten Thousand German News Articles Dataset: 10273 german language news articles categorized into nine classes for subject classification. (26.1 MB)
100k German Court choices: Open Legal Data releases a dataset of 100,000 court that is german and 444,000 citations (772 MB)
- © 2020 GitHub, Inc.
- Contact GitHub
- We Blog
You can’t perform that action at this time.
You finalized in with another tab or screen. Reload to recharge your session. You signed down in another window or tab. Reload to recharge your session.