The Webis-Dataset-Reviews-21 corpus comprises the curated list of 13,372 NLP-related datasets and their 539,411 mentions extracted from all the publications available in ACL Anthology corpus.

The corpus consists of 1,128 German news articles from the years 2003 to 2009, collected from 29 general and business news websites. In each article, statements on the revenue of companies or markets were manually annotated, i.e., sentences and entities that refer to a statement are tagged and linked to each other.

The Cross-Lingual Sentiment (CLS) dataset comprises about 800.000 Amazon product reviews in the four languages English, German, French, and Japanese.

The dataset contains argument pairs which are sampled from args.me dataset and cover two topics: abortion and gay marriage. The dataset is used in the same side stance classification challenge which consists of two experiments (cross-topics and within topics)

The Webis-CMV-20 dataset comprises all available posts and comments in the ChangeMyView subreddit from the foundation of the subreddit in 2005, until September 2017. From these, we have derived two sub-datasets for the tasks of persuasiveness prediction, and opinion malleability prediction. In addition, the corpus comprises historical posts by CMV authors, and derived personal characteristics.

A large-scale corpus of over 153 million fully-segmented emails from 14.635 public mailing lists.

The Webis Gmane Email Corpus 2019 is a dataset of more than 153 million parsed and segmented emails crawled between February and May 2019 from gmane.io covering more than 20 years of public mailing lists. The dataset has been published as a resource at ACL 2020.

The Webis-SameSentiment-21 dataset is a collection of sentiment review pairs for Same Sentiment Classification. The dataset only contains the pair ids (business and review id) to allow recreation of the dataset. The actual review text has to be downloaded from Yelp.

This corpus is outdated. Please use its successor PAN-PC-11.

The Webis-Web-Archive-17 comprises a total of 10,000 web page archives from mid-2017 that were carefully sampled from the Common Crawl to involve a mixture of high-ranking and low-ranking web pages. The dataset contains the web archive files, HTML DOM, and screenshots of each web page, as well as per-page annotations of visual web archive quality.

The Webis-SameSide-21 dataset is a resampled dataset based on the Same Side Stance Classification shared task dataset.

The Webis-Web-Archive-Quality-22 comprises a total of 6,500 pairs of screenshots from web pages as they were archived and as they were reproduced from that archive, along with archive quality annotations and information of DOM elements on the screenshot.

The Webis Abstractive Snippet Corpus 2020 (Webis-Snippet-20) comprises four abstractive snippet dataset from ClueWeb09, Clueweb12, and DMOZ descriptions. More than 10 million

The Webis Netspeak Instant Search Log 2021 (Webis-NIL-21) is an excerpt of the log of the Netspeak search engine. The dataset contains about 37,000 log entries, which correspond to keystroke interactions the users of Netspeak made with it's search interface while entering their queries. This enables the study of instant search logs in general, and that of identifying keystroke interactions belonging to the same query in particular. The latter is annotated in the log.

The corpus contains 136,996 (argumentative text, conclusion) pairs for the task of informative conclusion generation. For each argument in the corpus, argumentative knowledge such as discussion topic, conclusion targets and argument aspects are provided.

The Webis Clickbait Corpus 2016 (Webis-Clickbait-16) comprises 2992 Twitter tweets sampled from top 20 news publishers as per retweets in 2014. The tweets have been manually annotated by three independent annotators with regard to whether they can be considered clickbait. A total of 767 tweets are considered clickbait by the majority of annotators. The majority vote of reviewers can be used as a ground truth to build clickbait detection technology. This corpus is the first of its kind and gives rise to the development of technology to tackle clickbait.

The Webis-Editorials-16 corpus is a novel corpus with 300 news editorials evenly selected from three diverse online news portals: Al Jazeera, Fox News, and The Guardian. The aim of the corpus is to study (1) the mining and classification of fine-grained types of argumentative discourse units and (2) the analysis of argumentation strategies pursued in editorials to achieve persuasion. To this end, each editorial contains manual type annotations of all units that capture the role that a unit plays in the argumentative discourse, such as assumption or statistics. The corpus consists of 14,313 units of six different types, each annotated by three professional annotators from the crowdsourcing platform upwork.com.

U.S. Department of Veterans Affairs Freedom of Information Act Service Webpage with many links to associated information.

Webis-comparative-web-search-questions-20 comprises 15,000 web questions collected from the public datasets. The questions are manually annotated as comparative or not. The comparative ones are annotated with more fine-grained subclasses.

This corpus is outdated. Please use its successors PAN-WVC-10 and PAN-WVC-11.

"Website allows the public full access to the 1950 Census images, census maps and descriptions.