Wikidata - All Entities

This Hugging Face Data Set contains the entirety of Wikidata as of the date listed below. Wikidata is a freely licensed structured knowledge graph following the wiki model of user contributions. If you build on this data please consider contributing back to Wikidata. For more on the size and other statistics of Wikidata, see: Special:Statistics. Current Dump as of: 2024-03-04

  Original Source

The data contained in this repository is retrieved… See the full description on the dataset page: https://huggingface.co/datasets/Wikimedians/wikidata-all.

Wikidata parallel descriptions en-ja

Parallel corpus for machine translation generated from wikidata dump (2024-05-06). Currently we processed only English/Japanese pair. The jsonl file is ready-to-train by Hugging Face transformers trainer for translation tasks.

  Dataset Details

https://www.wikidata.org/wiki/Wikidata:Database_download

  Dataset Creation

As Wikidata description field does not represent exact direct translation, filtering is required for… See the full description on the dataset page: https://huggingface.co/datasets/Mitsua/wikidata-parallel-descriptions-en-ja.

Category-based imports from Wikidata, the structured data version of Wikipedia.

Persons of interest profiles from Wikidata, the structured data version of Wikipedia.

Regularly published dataset of PageRank scores for Wikidata entities. The underlying link graph is formed by a union of all links accross all Wikipedia language editions. Computation is performed Andreas Thalhammer with 'danker' available at https://github.com/athalhammer/danker . If you find the downloads here useful please feel free to leave a GitHub ⭐ at the repository and buy me a ☕ https://www.buymeacoffee.com/thalhamm

Wikidata is a free and open knowledge base that can be read and edited by both humans and machines. Wikidata acts as central storage for the structured data of its Wikimedia sister projects including Wikipedia, Wikivoyage, Wiktionary, Wikisource, and others.

With this feature the user is able to extend CSV datasets with existing information in the Wikidata KG. The tool applies entity linking to all concepts in the same column and enable the user to use the extracted entities to extend the dataset.

Wikidata dump retrieved from https://dumps.wikimedia.org/wikidatawiki/entities/latest-all.json.bz2 on 27 Dec 2017

Profiles of politically exposed persons from Wikidata, the structured data version of Wikipedia.

This dataset contains triples curated from Wikidata surrounding news events with causal relations, and is released as part of our WWW'23 paper, "Event Prediction using Case-Based Reasoning over Knowledge Graphs".

Starting from a set of classes that we consider to be types of "events", we queried Wikidata to collect entities that were an instanceOf an event class and that were connected to another such event entity by a causal triple (https://www.wikidata.org/wiki/Wikidata:List_of_properties/causality). For all such cause-effect event pairs, we then collected a 3-hop neighborhood of outgoing triples.

A BitTorrent file to download data with the title 'wikidata-20240902-all.json.bz2'

mapping between freebase and wikidata entities

This dataset maps freebase ids to wikidata ids and labels. It is useful for visualising and better understanding when working with datasets like fb15k-237 How it was created:

Download freebase-wikidata mapping from here. [compressed size: 21.2 MB] Download wikidata entities data from here. [compressed size: 81GB] Align labels with the freebase,wikidata id

This dataset contains information about commercial organizations (companies) and their relations with other commercial organizations, persons, products, locations, groups and industries. The dataset has the form of a graph. It has been produced by the SmartDataLake project (https://smartdatalake.eu), using data collected from Wikidata (https://www.wikidata.org).

This is a collection of Gender Indicators from Wikidata and Wikipedia of Human Biographies. Data is derived from the 2016-01-03 Wikidata snapshot.Each file describe the humans in Wikidata aggregated by Gender (Property:P21), and dissaggregated by the following Wikidata Properties: - Date of Birth (P569)- Date of Death (P570)- Place of Birth (P19)- Country of Citizenship (P27)- Ethnic Group (P172)- Field of Work (P101)- Occupation (P106)- Wikipedia Language ("Sitelinks") Further aggregations of the data are: - World Map (Countries derived from place of birth and citizenship)- World Cultures (Inglehart Welzel Map applied to World Map)- Gender Co-Occurence (Humans with multiple genders).Wikidata labels have be translated to English for convenience when possible. You may still see values with "QIDs" which means there was no English translation possible. In the case where there were multiple values, such as for occupation, the we count the gender as co-occuring with each occupation separately.For more information. http://wigi.wmflabs.org/

The dataset used in the paper is Wikidata, which contains a large number of entities and their corresponding semantic types.

RDF dump of wikidata produced with wdumps. entities with affiliation roman catholic View on wdumper entity count: 0, statement count: 0, triple count: 0

The dataset contains a selection of works of art stored in Wikidata. It has been extracted via Wikidata API with action "wbgetentities"in date 01/05/2022.

The dataset comprises literary productions, visual artworks, cultural sites, operatic works, performing arts, journals etc. We semiautomatically surveyed the existing Wikidata subclasses of work of art and removed all elements belonging to music and cinematographic domains as well as statistical rumor.

In total, the dataset contains 2'156'363 works of art (wikidata entities) described by 18'924'333 statements and belonging to 6'612 selected classes. The dataset is stored in a zip folder organised in 10'782 json files, each storing 200 entities and their metadata.

For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at http://discuss.eol.org/c/eol-services read more

Wikidata: A Free and Open Knowledge Base Accessible: Readable and editable by humans and machines alike. Central Hub: Serves as the core storage for structured data across Wikimedia s sister projects, such as Wikipedia, Wikivoyage, Wiktionary, Wikisource, and more. Current Edition: This torrent represents an unofficial dump of Wikidata as of January 1st, 2024.

derenrich/wikidata-enwiki-categories-and-statements dataset hosted on Hugging Face and contributed by the HF Datasets community