Wikipedia articles dataset

Wikipedia Summary Dataset. This is a dataset that can be used for research into machine learning and natural language processing. It contains all titles and summaries (or introductions) of English Wikipedia articles, extracted in September of 2017.. The dataset is different from the regular Wikipedia dump and different from the datasets that can be created by gensim because ours contains the. This dataset comprises over 23,000 human-generated question-answer pairs based on 5,109 passages of 174 Vietnamese articles from Wikipedia. 23,074 Question-answer pairs Question Answering 2020 Nguyen et al. Vietnamese Multiple-Choice Machine Reading Comprehension Corpus(ViMMRC

Wikipedia dataset containing cleaned articles of all languages. with one split per language. Each example contains the content of one full Wikipedia article with cleaning to strip markdown and unwanted sections (references, etc.). Supported Tasks and Leaderboards More Information Needed. Languages More Information Needed Dataset information. Wikipedia has over 35,000,000 articles in over 290 languages. However, not all the articles are genuine. Hoax articles are purely fabricated articles that were created to mislead people. In the paper cited below we study all actual and wrongly suspected hoaxes ever identified in the English version of Wikipedia Wikipedia, the world's largest encyclopedia, is a crowdsourced open knowledge project and website with millions of individual web pages. This dataset is a grab of the title of every article on Wikipedia as of September 20, 2017. Content. This dataset is a simple newline (\\n) delimited list of article titles Wikipedia-biography-dataset : This dataset gathers 728,321 biographies from wikipedia. It aims at evaluating text generation algorithms. For each article, we provide the first paragraph and the infobox (both tokenized)

GitHub - tscheepers/Wikipedia-Summary-Dataset: This

Config description: Wikipedia dataset for simple, parsed from 20201201 dump. Download size: 193.55 MiB. Dataset size: 197.50 MiB. Auto-cached (documentation): Only when shuffle_files=False (train) Splits Wikipedia offers free copies of all available content to interested users. These databases can be used for mirroring, personal use, informal backups, offline use or database queries (such as for Wikipedia:Maintenance).All text content is multi-licensed under the Creative Commons Attribution-ShareAlike 3.0 License (CC-BY-SA) and the GNU Free Documentation License (GFDL) Wikipedia-based Image Text (WIT) Dataset is a large multimodal multilingual dataset. WIT is composed of a curated set of 37.6 million entity rich image-text examples with 11.5 million unique images across 108 Wikipedia languages. Its size enables WIT to be used as a pretraining dataset for multimodal machine learning models. Key Advantage One of the first things required for natural language processing (NLP) tasks is a corpus. In linguistics and NLP, corpus (literally Latin for body) refers to a collection of texts. Such collections may be formed of a single language of texts, or can span multiple languages -- there are numerous reasons for which multilingual corpora (the plural of corpus) may be useful

This data set consists of 32k Wikipedia Articles which have been cleaned. It has a Train set of 26.3k articles and Validation set of 6.6k articles, which were used to train and benchmark Language Models for Kannada in the repository NLP for Kannada. The scripts which were used to fetch and clean articles can be found here. Feel free to use this data set creatively and for building better. Many additional datasets that may be of interest to researchers, users and developers can be found in this collection. These data sets are not officially supported and may not be up to date. Software downloads MediaWiki MediaWiki is a free software wiki package written in PHP, originally for use on Wikipedia A demo of a search interface that maps topics involved in both queries and documents to Wikipedia articles. Supports automatic and interactive query expansion (Milne et al.,2007) Creates a dataset named Cultural Context Content (CCC) for each language edition with the articles that relate to its cultural context (geography, people, traditions. WikiSum is a dataset based on English Wikipedia and suitable for a task of multi-document abstractive summarization. In each instance, the input is comprised of a Wikipedia topic (title of article) and a collection of non-Wikipedia reference documents, and the target is the Wikipedia article text. The dataset is restricted to the articles with at least one crawlable citation

This dataset contains wikilink snapshots, i.e. links between Wikipedia articles, extracted by processing each revision of each Wikipedia article (namespace 0) from Wikimedia's history dumps for the languages de, en, es, fr, it, nl, pl, ru, sv. The snapshots were taken on March 1st, for the years between 2001 and 2018 (included) WikiGraphs is a dataset of Wikipedia articles each paired with a knowledge graph, to facilitate the research in conditional text generation, graph generation and graph representation learning. Existing graph-text paired datasets typically contain small graphs and short text (1 or few sentences), thus limiting the capabilities of the models that can be learned on the data Parsing Wikipedia Articles. Wikipedia runs on a software for building wikis known as MediaWiki. This means that articles follow a standard format that makes programmatically accessing the information within them simple. While the text of an article may look like just a string, it encodes far more information due to the formatting

List of datasets for machine-learning research - Wikipedi

wikipedia · Datasets at Hugging Fac

The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License.. Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is over 2 times larger and WikiText-103 is over 110 times larger Our celebrities dataset has 1.38 million articles. The list of all the celebrities and datasets obtained along with the code can be found here. The dataset contains articles about Michael Jackson, Amitabh Bachchan, Brad Pitt, Sachin Tendulkar, MS Dhoni and all other celebrities we could think of and verify. 4. Conclusion. Wikipedia is one of. We present a new dataset of Wikipedia articles each paired with a knowledge graph, to facilitate the research in conditional text generation and graph representation learning. Existing graph-text paired datasets typically contain small graphs and short text (1 or few sentences), thus limiting the capabilities of the models that can be learned on the data Wikipedia-biography-dataset : This dataset gathers 728,321 biographies from wikipedia. It aims at evaluating text generation algorithms. For each article, we provide the first paragraph and the infobox (both tokenized) To build this dataset, we rely on Wikipedia templates. Templates are tags used by expert Wikipedia editors to indicate content issues, such as the presence of non-neutral point of view or contradictory articles, and serve as a strong signal for detecting reliability issues in a revision. We select the 10 most popular reliability-related.

SNAP: Wikipedia datasets: Wikipedia hoaxe

Wikipedia Retrieval 2010 Collection: This collection consists of 237,434 images, their associated user-generated textual annotations (i.e., the images' textual descriptions extracted from the Wikimedia Commons files and the images' captions in the Wikipedia article(s) that contain them), and the Wikipedia articles containing the images Stanford Question Answering Dataset (SQuAD) is a new reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage. With 100,000+ question-answer pairs on 500+ articles, SQuAD is significantly larger than previous reading comprehension datasets Scraping a Wikipedia Article. Before starting, we'll need to complete the following steps. Grab the URL of the article you will scrape first. In this case, we will start with the article for the first season of the Premier League in 1992-1993. Next, we will download and install ParseHub for free to scrape the data we want This file is about 8GB in size and contains (a compressed version of) all articles from the English Wikipedia. Convert the articles to plain text (process Wiki markup) and store the result as sparse TF-IDF vectors. In Python, this is easy to do on-the-fly and we don't even need to uncompress the whole archive to disk

The result is a set of maps that offer, for the first time, insight into where the millions of volunteer editors who build and maintain English Wikipedia's 5 million pages are—and, maybe more. Datasets. In order to contribute to the broader research community, Google periodically releases data of interest to researchers in a wide range of computer science disciplines. Search for datasets on the web with Dataset Search. No results found. Try different keywords or filters Many Wikipedia pages are non-content pages and do not hold significant amounts of text. We aim to keep the pages that represents articles covering topics and entities. We de-fine the following set of rules to remove those non-article pages: Disambiguation pages:1 These pages are used to re-solve conflicts in article titles that occur when a. SQuAD (Stanford Question Answering Dataset) is a dataset for reading comprehension. It consists of a list of questions by crowdworkers on a set of Wikipedia articles. The answers to each of the questions is a segment of text, or span, from the corresponding Wikipedia reading passage. Alternatively, the question may also be unanswerable

Wikipedia Articles NeelGuha,AnnieHu,andCindyWang {nguha, anniehu, ciwang}@stanford.edu I. Introduction Wikipedia now has millions of articles online and the articles in the dataset do not origi-nate from the same context, we ran our model on a 600 training articles and 20 possible reason is the paucity of large, labeled datasets. In this work, we consider English Wikipedia as a supervised machine learning task for multi-document summarization where the input is comprised of a Wikipedia topic (title of article) and a collection of non-Wikipedia reference documents, and the target is the Wikipedia article text. W

Active 6 years, 2 months ago. Viewed 4k times. 7. I know that I can download English Wikipedia Dump, but I was wondering if I can download only articles for a specific category-subject. For instance, can I download articles related to Mathematics or Biology or Medicine only The datasets have train/dev/test splits per language. The dataset is cleaned up by page filtering to remove disambiguation pages, redirect pages, deleted pages, and non-entity pages. Each example contains the wikidata id of the entity, and the full Wikipedia article after page processing that removes non-content sections and structured objects

The full dataset, extracted from the March 1, 2018 Wikipedia content dumps, includes a total of 15,693,732 records and shows important variations across languages in the kind of sources volunteer. Wikipedia articles invented by a neural network. Wikipedia has a page where they list, for entertainment purposes, the titles of a bunch of pages that didn't meet the cut.These are mostly pages that were submitted as pranks, although a few of them are clever enough that you can't quite tell To answer this question, we published a dataset of every citation referencing an identifier across all 297 Wikipedia language editions. The dataset breaks down sources cited in each language by identifier-a PMID or PMC (for articles in the biomedical literature), a DOI (for scholarly papers), an ISBN (for book editions), or an ArXiV ID (for. The dataset contains 692 Wikipedia articles; each one corresponds to a different clustering task. The dataset includes the article name, the sentence text, and the name of the cluster to which the sentence belongs, which is the title of the section from which the sentence was extracted This paper describes the generation of temporally anchored infobox attribute data from the Wikipedia history of revisions. By mining (attribute, value) pairs from the revision history of the English Wikipedia we are able to collect a comprehensive knowledge base that contains data on how attributes change over time. When dealing with the Wikipedia edit history, vandalic and erroneous edits are.

In this article, we list down 10 Question-Answering datasets which can be used to build a robust chatbot. 1| SQuAD. Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset which includes questions posed by crowd-workers on a set of Wikipedia articles and the answer to every question is a segment of text, or span, from the. Hindi Wikipedia Articles - 172k Hindi Wikipedia Articles - 55k: 34.06 35.87: 26.09 34.78: BBC News Articles IIT Patna Movie Reviews IIT Patna Product Reviews: 78.75 57.74 75.71: 0.71 0.37 0.59: Notebook Notebook Notebook: Hindi Embeddings projection: Hindi Embeddings projection: Bengali: NLP for Bengali: Bengali Wikipedia Articles: 41.2: 39.3.

Wikipedia Article Titles Kaggl

  1. Wikipedia is a Python library that makes it easy to access and parse data from Wikipedia.. Search Wikipedia, get article summaries, get data like links and images from a page, and more. Wikipedia wraps the MediaWiki API so you can focus on using Wikipedia data, not getting it. >>> import wikipedia >>> print wikipedia. summary (Wikipedia) # Wikipedia (/ˌwɪkɨˈpiːdiə/ or.
  2. FEVEROUS (Fact Extraction and VERification Over Unstructured and Structured information) is a fact verification dataset which consists of 87,026 verified claims. Each claim is annotated with evidence in the form of sentences and/or cells from tables in Wikipedia, as well as a label indicating whether this evidence supports, refutes, or does not.
  3. Articles out of the main space (for instance drafts) should (local policy) not be in a normal category. The article will get a better score as soon as categories are added after moving it to the main space. At least something to be aware of. At the Dutch Wikipedia, there is no bonus in getting an article in as many categories as possible
  4. Even the most popular dataset for abstractive summarisation, the CNN/Daily Mail dataset, is only able to use the subtitles of its articles for a target output. Further still, the text found in.

On my Wikipedia user page, I run a Wikipedia script that displays my statistics (number of pages edited, number of new pages, monthly activity, etc.). I'd like to put this information on my blog.. The Wikipedia Oriented Relatedness Dataset, or WORD, is a new type of concept relatedness dataset, composed of 19,276 pairs of Wikipedia concepts. This is the first human annotated dataset of Wikipedia concepts, whose purpose is twofold. On the one hand, it can serve as a benchmark for evaluating concept-relatedness methods A new system developed by MIT researchers could be used to automatically update factual inconsistencies in Wikipedia articles, reducing time and effort spent by human editors. It could also help reduce bias in fact-checking datasets used to train fake news detectors Enhancing Multilingual Content in Wikipedia. Wikipedia has become one of the world's largest and perhaps most powerful information repositories. But it is heavily English-centric. Making Wikipedia more multilingual inspired a Microsoft Research India team to develop a tool called WikiBhasha, which was launched Oct. 18

Wikipedia articles are arranged in categories, (2.6 million) as there are additional pages for lists and templates in Wikipedia. The mapping-based dataset contains 720 different properties compared to 38,659 different properties that are used within the generic dataset (including many synonymous properties).. Categories are used in Wikipedia to link articles under a common topic and are found at the bottom of the article page. This dataset was collected by automatically crawling Wikipedia articles. The average length of a Wikipedia article is 590 words . Thus, it is safe to assume that, the average number of unique tokens in a Wikipedia article is equal to or below 590. The average number of unique tokens in a two-minute debate in our dataset is 8200. Thus, the cosine similarity operation is applied on vector sizes of average 9000 Conclusion This Translated Wikipedia Biographies dataset is the result of our own studies and work on identifying biases associated with gender and machine translation. This set focuses on a specific problem related to gender bias and doesn't aim to cover the whole problem. It's worth mentioning that by releasing this dataset, we don't aim to be prescriptive in determining what's the optimal. Dataset Search. Try coronavirus covid-19 or education outcomes site:data.gov. Learn more about Dataset Search. ‫العربية‬. ‪Deutsch‬. ‪English‬

The researchers created what they claim is the largest benchmark dataset of its kind containing 23,679 prompts, 5 domains, and 43 subgroups extracted from Wikipedia articles. Beyond this, to. Automated system can rewrite outdated sentences in Wikipedia articles. by Rob Matheson, Massachusetts Institute of Technology. MIT researchers have created an automated text-generating system that pinpoints and replaces specific information in relevant Wikipedia sentences, while keeping the language similar to how humans write and edit Supreme Court Oral Arguments Dataset. Some considerations regarding case and voting information. Usage. Dataset details. Speaker-level information. Conversation-level information. Utterance-level information. Case information. Citation and other versions

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Wikipedia-biography-dataset - GitHub Page

Introducing the unique devices dataset: a new way to estimate reach on Wikimedia projects. March 30, 2016 by Nuria Ruiz, Madhumitha Viswanathan and Aaron Halfaker. Photo by Tiago Aguiar, public domain/CC0. The analytics team at the Wikimedia Foundation is excited to release a new dataset for our community and the world: unique devices The Pantheon 1.0 dataset is restricted to the 11,341 biographies with a presence in more than 25 different languages in Wikipedia (L>25). The choice of the L>25 threshold is guided by a. Wikipedia comprises millions of articles that are in constant need of edits to reflect new information. That can involve article expansions, major rewrites, or more routine modifications such as.

The dataset contains: 132 concepts. 4603 Wikipedia categories and lists annotated for stance (Pro/Con) towards the concepts. The released data file has 4 columns: Column A: the label. Column B: the concept. Column C: the page title of the category or list in Wikipedia. Column D: the URL of the category/list page The Translated Wikipedia Biographies dataset has been designed to analyze common gender errors in machine translation like incorrect gender choices in pro-drop, possessives and gender agreement. Each instance of the dataset represents a person (identified in the biographies as feminine or masculine), a rock band or a sport team (considered. Gender is one of the most pervasive and insidious forms of inequality. For example, English-language Wikipedia contains more than 1.5 million biographies about notable writers, inventors, and academics, but less than 19% of these biographies are about women. To try and improve these statistics, activists host edit-a-thons to increase the. In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of artificial neural network, most commonly applied to analyze visual imagery. They are also known as shift invariant or space invariant artificial neural networks (SIANN), based on the shared-weight architecture of the convolution kernels or filters that slide along input features and provide translation equivariant. The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License. Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is over 2 times larger and WikiText-103 is over 110 times larger

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wikipedia TensorFlow Dataset

HOTPOTQA: A Dataset for Diverse, Explainable Multi-hop Question Answering graphs of all Wikipedia articles. With these hy-perlinks, we build a directed graph G, where each edge (a;b) indicates there is a hyperlink from the first paragraph of article a to article b Interestingly, both resources that utilise Wikipedia describe independently developed quality control procedures for Wikipedia articles. Pfam (and Rfam) uses the Wikipedia API to track new edits and present them to the biocurators for approval to ensure that the changes to the article are appropriate, before the article is displayed on the database website () 6,337,011. articles in the English Wikipedia as of the 14th of July 2021. With an average of approximately 1,488 words per article

In 2015, Rosie co-founded Women in Red, a project focused on creating Wikipedia articles about women's biographies, works, and topics. At the time, only 15% of Wikipedia biographies were about women, and there is still more work to do. Rosie has created 5,000 new articles on Wikipedia, an activity that she says is her great passion in life Six Degrees of Wikipedia. About Blog GitHub. Find the shortest paths from This dataset is a collection of a the full text on Wikipedia. It contains almost 1.9 billion words from more than 4 million articles. What makes this a powerful NLP dataset is that you search by word, phrase or part of a paragraph itself A dataset, or data set, is simply a collection of data. and regularly generate dumps of all the articles on the site. Additionally, Wikipedia offers edit history and activity, so you can track how a page on a topic evolves over time, and who contributes to it

The dataset is available here. Wikipedia. Wikipedia is a collaborative encyclopedia written by its users. In addition to providing information to students desperately writing term papers at the last minute, Wikipedia also provides a data dump of every edit made to every article by every user ever. This dataset has been widely used for social. In some datasets, such as WebKB, Cora, CiteSeer, and PubMed, nodes has text attributes which is represented as a 0/1 vector or TF-IDF representation. The network is represented as edge list stored in edges.csv. The frist element is source node and the second element is target node. Elements are seperated by , articles were collected from unreliable websites that were flagged by Politifact (a fact-checking organization in the USA) and Wikipedia. The dataset contains different types of articles on different topics, however, the majority of articles focus on political and World news topics. The dataset consists of two CSV files. The first file named. QU1: Articles in Wikipedia are reliable QU2: Articles in Wikipedia are updated QU3: Articles in Wikipedia are comprehensive QU4: In my area of expertise, Wikipedia has a lower quality than other educational resources Please cite our JASIST paper if you use this dataset

Wikipedia:Database download - Wikipedi

German Wikipedia - Species Pages Dataset homepage. Citation Döring M (2021). German Wikipedia - Species Pages. Wikimedia Foundation. Checklist dataset https://doi. The datasets were extracted from the four biggest Wikipedias except the English one, using the dumps available here. Format. Each of the files is contained of lines of the follwing format: id1, id2, op, tstamp. where id1 and id2 are ids of Wikipedia articles, tstamp is the unix timestamp of the operation and the definition of the operation op. Wikipedia access traces. This directory contains a trace of 10% of all user requests issued to Wikipedia (in all languages) during the period between September 19th 2007 and January 2nd 2008. Note: only parts of the trace are currently available. This is only temporary, and we are working hard to put the entire trace online as soon as possible 1 Answer1. The possible solution to your problem is to download the whole wikipedia dump. Each article contains links to that article in other languages in a predefined format, so you can easily write a map/reduce job that collects that information and builds a correspondence between English article name and the rest Data structure. We built an open-access dataset on publication records for Nobel laureates in Physics, Chemistry, and Medicine, which is available at Harvard Dataverse 43. It contains four comma.

This dataset spans over 1300 diverse topics and includes conversations directly grounded with knowledge retrieved from Wikipedia. The dialogs are carried on by two participants, where one plays the role of a knowledgeable expert (wizard) and the other is a curious learner (the apprentice) This dataset allows researchers and other practitioners to evaluate their systems for linking web search engine queries to entities. The dataset contains manually identified links to entities in the form of Wikipedia articles and provides the means to train, test, and benchmark such systems using manually created, gold standard data Datasets Online anti-social datasets: The COVID-HATE dataset contains over 30 million tweets related to anti-Asian online hate and counterhate speech. Bitcoin OTC platform: Fraudsters. Bitcoin Alpha platform: Fraudsters. Amazon network: Fake reviewers. Epinions network: Fake reviewers. Wikipedia edits: Blocked accounts Multivariate, Text, Domain-Theory . Classification, Clustering . Real . 2500 . 10000 . 201

The WikiMovies dataset. This includes only the QA part of the Movie Dialog dataset, but using three different settings of knowledge: using a traditional knowledge base (KB), using Wikipedia as the source of knowledge, or using IE (information extraction) over Wikipedia Dataset Description; COVID-19 Data Lake: COVID-19 Data Lake collection is a collection of COVID-19 related datasets from various sources, covering testing and patient outcome tracking data, social distancing policy, hospital capacity, mobility, etc The clean version of the Wikipedia was prepared with the goal of retaining only text that normally would be visible when displayed on a Wikipedia web page and read by a human. Only regular article text was retained. Image captions were retained, but tables and links to foreign language versions were removed

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Large data sets mostly from finance and economics that could also be applicable in related fields studying the human condition: World Bank Data. Lots of years. Lots of Countries Countries | Data. Lots of of data variables (Topics | Data - Indicato.. Let's solve your challenges together. Learn how Google Cloud datasets transform the way your business operates with data and pre-built solutions. Contact sales. If there is a public dataset you would like to see onboarded, please contact public-data-help@google.com The Shuttle Radar Topography Mission (SRTM) (Wikipedia article) is a NASA mission conducted in 2000 to obtain elevation data for most of the world.It is the current dataset of choice for digital elevation model (DEM) data since it has a fairly high resolution (1 arc-second, or around 25 meters), has near-global coverage (from 56°S to 60°N), and is in the public domain dataset (StaticGraphTemporalSignal) - The PedalMe dataset. class WikiMathsDatasetLoader [source] ¶ A dataset of vital mathematics articles from Wikipedia. We made it public during the development of PyTorch Geometric Temporal. The underlying graph is static - vertices are Wikipedia pages and edges are links between them. The graph is directed. By using the dataset, you agree to cite at least one of the following papers. @article{Joo_2017_TPAMI, title={Panoptic Studio: A Massively Multiview System for Social Interaction Capture}, author={Joo, Hanbyul and Simon, Tomas and Li, Xulong and Liu, Hao and Tan, Lei and Gui, Lin and Banerjee, Sean and Godisart, Timothy Scott and Nabbe, Bart.