The dataset contains information about each of the 705 Members of the European Parliament (MEPs) elected in 2019: the country they represent, the political group and the national political party.

In addition, you will also find information on:

•  incoming and outgoing MEPs,
  

•  MEPs' assistants, 
  

•  links to search pages where information can be visualised by several criteria
  

•  full list of the MEPs in the 8th parliamentary term (2014-2019), and 
  

•  full list of the MEPs for all parliamentary terms from 1979 to 2014.
  

Further information on MEPs, including their CV, parliamentary activity, and contact details is available on the website of the European Parliament: http://www.europarl.europa.eu/meps/

This is the Twitter Parliamentarian Database: a database consisting of parliamentarian names, parties and twitter ids from the following countries: Austria, Belgium, France, Denmark, Spain, Finland, Germany, Greece, Italy, Malta, Poland, Netherlands, United Kingdom, Ireland, Sweden, New Zealand, Turkey, United States, Canada, Australia, Iceland, Norway, Switzerland, Luxembourg, Latvia and Slovenia. In addition, the database includes the European Parliament.The tweet ids from the politicans' tweets have been collected from September 2017 - 31 October 2019 (all_tweet_ids.csv). In compliance with Twitter's policy, we only store tweet ids, which can be re-hydrated into full tweets using existing tools. More information on how to use the database can be found in the readme.txt.It is recommended that you use the .csv files to work with the data, rather than the SQL tables. Information on the relations in the SQL database can be found in the Database codebook.pdf.Update:The tweet ids for 2021 have been added as '2021.csv'Update #2:The tweet ids for 2020 have been added as '2020.csv'The last party table has been added as 'parties_2021_04_28.csv'The last members table has been added as 'members_2021_04_28.csv'

kiranpantha/parliament-data-for-lora dataset hosted on Hugging Face and contributed by the HF Datasets community

Overview

The current dataset encodes policy-making and parliamentary processes in a knowledge graph (KG). This structure allows for the detailed representation of relationships between various entities and tracks the evolution of bills from their initial proposal through to the final vote. It also includes comprehensive metadata on the members of parliament (MPs), such as those who proposed the bills and participated in discussions across different chambers. Additionally, the dataset contains the full text of speeches delivered by MPs during these deliberations.

Files contained

The DemocraSci dataset comprises the following files:

neo4j.dump : the file containing the Neo4J graph database.

democrasci_rdb.db : a SQL database formed by the speeches given by MPs in the Parliament chambers. The DB contains a single table with two columns, one with the speech transcript and another with a unique identifier. This uid links each speech with a Speech node in the KG.

The previous information is extracted for four consecutive legislative periods (48 to 51), from year 2007 to 2023.

The structure of this KG is detailed in

https://democrasci.jkminder.ch/index.html

Here, we provide more information on the different nodes and relations contained in the graph, as well as the properties of each.

Dataset creation

The dataset has been parsed from the CuriaDB database of the Swiss parliament. From the information contained within, we defined a schema that encodes the political process and all the entities involved in it.

All the different extraction and processing tasks, from the parsing of the original database to the curation of the data and the manipulation of the KG are done using Python. Specifically, for the population of the Neo4J database we leveraged Data2Neo.

Resources

The knowledge graph has been created using Neo4J. The Community Edition is free to use and already offers many tools for KG exploration and graph data science

https://neo4j.com/deployment-center/#community

No4J can be used through the command line interface, launching a web instance where previously a Neo4J dump has been loaded.

https://neo4j.com/docs/operations-manual/current/backup-restore/restore-dump/

Additionally, the Neo4J desktop app facilitates restoring a dump, and enables using more tools for exploration, such as Bloom

https://neo4j.com/docs/desktop-manual/current/operations/create-from-dump/

For the exploration of the SQL DB, the easiest option is DB Browser

This dataset contains information about each of the Members of the European Parliament (MEPs), including the country they represent, their political group and their national political party. This dataset is part of a series that is split by parliamentary term, i.e. the 5-year period between two elections of the European Parliament. Related data: Parliamentary term: 7.

A common challenge in studying Italian parliamentary discourse is the lack of accessible, machine-readable, and systematized parliamentary data. To address this, this article introduces the ItaParlCorpus dataset, a new, annotated, machine-readable collection of Italian parliamentary plenary speeches for the Camera dei Deputati, the lower house of Parliament, spanning from 1948 to 2022. This dataset encompasses 470 million words and 2.4 million speeches delivered by 5,830 unique speakers representing 77 different political parties. The files are designed for easy processing and analysis using widely-used programming languages, and they include metadata such as speaker identification and party affiliation. This opens up opportunities for in-depth analyses on a variety of topics related to parliamentary behavior, elite rhetoric, and the salience of political themes, exploring how these vary across party families and over time.

The EUPDCorp Repository hosts the Corpus of the EU Parliament Debates (1999–2024), a comprehensive dataset of parliamentary speeches from the European Parliament. Compiled from the official EU Parliament database and supplemented with publicly available resources, the corpus contains 563,696 speeches in their original languages, alongside English translations. The dataset spans five parliamentary terms (5th–9th), capturing legislative discourse over 25 years. It includes extensive metadata on each speech, such as speaker details (name, nationality, party affiliation), speech context (date, agenda point, language), and additional identifiers linking to external political datasets. This resource is ideal for researchers analyzing political communication, legislative behavior, and multilingual discourse in EU institutions.

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset from European Parliament hosted by the EU Open Data Portal. The Open Data Portal is found here and they update their information according the amount of data that is brought in. Explore European Parliament data using Kaggle and all of the data sources available through the European Parliament organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using the EU ODP API and Kaggle's API.

This dataset is distributed under the following licenses: Dataset License

Cover photo by Tamara Menzi on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

These datasets are derived from a Hansard dataset created by Evan Odell (2021) (website). We filtered this large database to keep only those speeches containing the word “GCHQ”. Then we manually curated the database to include the whole debates associated with particular speeches. Finally, we we selected only those debates where GCHQ appears in the top 10% quantile of frequencies. The datasets have been curated for use in an article on 'Making Data Visualisations, Contesting Security'. Contains Parliamentary information licensed under the Open Parliament Licence v3.0. Odell, E. (2021) “Hansard Speeches 1979-2021: Version 3.1.0”. Zenodo. doi: 10.5281/zenodo.4843485.

The ParliamentSampo Knowledge Graph includes data regarding Finnish Parliamentary debates and actors. The RDF data has been converted using data from the Parliament of Finland's open data services and Wikidata.

The Knowledge Graph contains harmonized data of

1. speeches from the plenary sessions of the Finnish Parliament 1907–2022, and
2. members and organizations of the Parliament.

The data model is designed for representing speeches, interruptions, items (on agenda), documents and other aspects related to plenary session speeches and minutes as well as member of the parliament and biographical information about them focusing on their political career.

This dataset is available on a public SPARQL endpoint (http://ldf.fi/semparl/sparql).

To test and demonstrate its usefulness, this Knowledge Graph is in use in the semantic portal ParliamentSampo, explained in more detail in the project page.

The Knowledge Graph can be downloaded also as CSV and XML files. See the dataset page on LDF.fi for more details.

The dataset contains year-wise historically compiled data on number of goodwill parliamentary delegations, comprising of both member of parliaments (MPs) and officers, which have been sent abroad to various countries such as China, Greece, Egypt, United State of America (USA), Hong Kong, Mauritius, Thailand, Indonesia, Singapore, Malasiya, etc. to represent India's policies, achievements and to share reciprocal inputs with other countries

Notes

Goodwill delegations is government sponsored programme whereby the the MPs and other distinguished personalities are sent abroad to project India's policies, programmes and achievements in different fields with their counterparts

MP Religion & Assisted Dying Dashboard

This data powers a dashboard presenting insights into the religious affiliations and Assisted Dying voting patterns of UK Members of Parliament (MPs). It can be found here:

👉 https://davidjeffery.shinyapps.io/mp-religion/.

Please cite all uses of the data.

📊 What is this dashboard?

This dashboard presents insights into the religious affiliations and Assisted Dying voting patterns of UK Members of Parliament. It combines publicly available data to support transparency and understanding of Parliament’s composition.

📂 Where does the data come from?

The data is compiled from publicly available parliamentary records and voting data. You can download it directly from the link in the header or view it in the Raw Data tab of the dashboard.

🙏 How is religion determined?

There are three steps to determining religion. An MP is classified as having a religion based on the following criteria:

1. If the MP is a member of a religiously based group, they are classified as a member of that religion.

2. If a member has publicly spoken about their religion, they are classified as a member of that religion.

3. Finally, the text an MP swore in on is used to help infer their religion.

These sources are used in order of priority. For example, Tim Farron is a member of Christians in Parliament and has spoken about his religious views. However, he did not take the oath on the Bible, but made a solemn affirmation on no text. Regardless, he is still classed as Christian.

🧾 Variable Reference

What do those variable names mean?

• Member ID – member_id – A unique numeric identifier for each MP provided by Parliament.

• Name – display_as – The full display name of the MP.

• Gender – gender – The MP’s gender.

• Party – party – The full political party name.

• Party (Simplified) – party_simple – A shortened or cleaned version of the party name.

• Religion – mp_final_relig – The MP’s classified religion based on multiple criteria outlined above.

• AD: 2nd Reading Vote – ass_suicide_2nd – The MP’s vote (Yes, No, Abstain) on the Assisted Dying Bill 2nd Reading.

• AD: 3rd Reading Vote – ass_suicide_3rd – The MP’s vote (Yes, No, Abstain) on the Assisted Dying Bill 3rd Reading.

• LGBT Status – lgbt – Whether the MP is publicly identified as LGBT (LGBT.MP).

• Ethnic Minority – ethnic_mp – Whether the MP identifies as an ethnic minority.

• Religious Group: Christian – relig_christian – MP belongs to a Christian group (1 = Yes).

• Religious Group: Muslim – relig_muslim – MP belongs to a Muslim group (1 = Yes).

• Religious Group: Jewish – relig_jewish – MP belongs to a Jewish group (1 = Yes).

• Religious Group: Sikh – relig_sikh – MP belongs to a Sikh group (1 = Yes).

• Oath Taken – mp_swear – Whether the MP took the Oath or made an Affirmation.

• Oath Book – mp_swear_book – The specific religious text (e.g., Bible, Quran) used when swearing in.

• Inferred Religion – mp_inferred_relig – The religion inferred from the swearing-in text.

• Election Outcome – elected – Whether the MP was re-elected in the most recent election.

• Majority – majority – The MP’s vote share margin.

• Constituency Type – constituency_type – Type: Borough or County.

• Claimant Rate – cen_claimant – % of constituents claiming unemployment benefits.

• % White (Census) – cen_eth_white – Proportion of white ethnicity in the constituency.

• % Christian – cen_rel_christian – Constituency Christian population from the Census.

• % Buddhist – cen_rel_buddhist – Constituency Buddhist population.

• % Hindu – cen_rel_hindu – Constituency Hindu population.

• % Jewish – cen_rel_jewish – Constituency Jewish population.

• % Muslim – cen_rel_muslim – Constituency Muslim population.

• % Sikh – cen_rel_sikh – Constituency Sikh population.

• % No Religion – cen_rel_no religion – Constituents identifying as non-religious.

• % No Qualifications – cen_qual_none – Constituents with no formal qualifications.

• % Graduates – cen_qual_grad – Constituents with degree-level education.

• % Some Disability – cen_disab_some – Constituents reporting a form of disability.

✝️ Why are Catholics separate from Christians?

Don’t worry, I’m not suggesting we bring back the Test Acts. The logic here is that more granular data is better.

When swearing in, there are versions of the Bible specific to Catholics — typically the New Jerusalem Bible or the Douay–Rheims Bible — whereas if someone just asks for “the Bible”, they are given the King James Version and could be from any Christian denomination.

It would be a shame to lose that detail, so I provide the option to break out Catholic MPs separately.

📚 Where can I find more information about swearing in and the parliamentary oath?

The Parliament website has a great guide:

👉 https://www.parliament.uk/about/how/elections-and-voting/swearingin/

👤 Who created this dashboard?

This dashboard was created by Dr David Jeffery, University of Liverpool.

Follow me on Twitter/X or Bluesky.

❓ Why did you create this dashboard?

I needed to know MPs’ religion, and the text MPs used to swear in seemed like a valid proxy. This information was held by Humanists UK and when I asked for it, they said no.

So I did what any time-starved academic would do: I collected the data myself, by hand, and decided to make it public.

This dataset contains information about the proprotion of seats held by women in Parliament from 2015-2017.

(a) Reference period is as at 1 January in each year. These figures are calculated according to the current number of parliamentarians, and do not include vacant seats.

(b) Federal government cabinet ministers represent a council of senior ministers.

Source: Unpublished data, Commonwealth Parliamentary Library, Australia.

This is replication data for an analysis of the relationship between MPs' position on reselection of MPs, the electoral list and parliamentary activity. The empirical analysis of the Dutch lower house of Parliament between 1998 and 2017 combines data from the Dutch Parliamentary Behaviour Dataset with data on parliamentary speech-making. The replication data includes information on MPs list position, preference votes, party background and level of parliamentary activity in each term (1998-2017)

The Danish Parliament's open data includes: * metadata about cases and documents in parliamentary work in the Danish Parliament and committees from October 2013 onwards. Including data on the composition of the Folketing and the committees in the different periods and meetings. * data on documents contains links to PDF files on ft.dk, which show the document itself. * data on current MPs contains a field with the member's biography in XML format. * minutes of the Folketing's deliberations in XML format. The open data of the Danish Parliament is available via the Odata protocol. It is an open protocol that provides access to get data delivered in ATOM format (XML) or JSON format. Published under the following license terms: https://www.ft.dk/en/documents/aabne_data See also Open Data Terms of Use: https://www.ft.dk/en/documents/aabne_data

Abstract One of the functions of parliamentary questions in modern legislatures is to pressure executives to pay attention to specific issues. But can these questions effectively influence executive decisions? There is surprisingly little empirical research in this area. Adopting an agenda-setting perspective, this article examines the extent to which issue attention in oral parliamentary questions influences the issues addressed in the weekly meetings of the Council of Ministers in three countries (Belgium, France and Portugal). Our findings suggest that the agenda-setting power of parliaments vis-à-vis the executive is usually weak in the contexts studied here. In Belgium, we find evidence that the executive does pick up on issues debated in parliament but that the media seems to play a crucial role in focusing attention. These conclusions testify to the dominance of the executive power in many Western democracies. The findings also demonstrate that agenda-setting patterns are more complex than single-country studies often suggest, and that comparative research is the way forward.

.rds data. Visit https://dataone.org/datasets/sha256%3A97a297d3ea1b37a810c7804e3beb4d6320c91b7cf1216f01c207ccf266f6637c for complete metadata about this dataset.

This publication package contains all datasets and R scripts necessary to reproduce the analyses reported in the paper "Dancing Around the Issue? Public Opinion and Strategic Vagueness in Parliamentary Speech" published in Legislative Studies Quarterly. The main dataset was created using data from ParlEE data (Sylvester et al., 2023), Euromanifesto data (Schmitt et al., 2018), Parlgov data (Döring and Manow, 2020), an automated database of the European Parliament (Høyland et al., 2009), and Eurobarometer-based public opinion indicators from Ershova et al. (2024).

Panama: Women in parliament, percent: The latest value from 2023 is 22.54 percent, unchanged from 22.54 percent in 2022. In comparison, the world average is 25.36 percent, based on data from 180 countries. Historically, the average for Panama from 1997 to 2023 is 14.94 percent. The minimum value, 8.45 percent, was reached in 2009 while the maximum of 22.54 percent was recorded in 2020.

ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after November 1st 2019), or being "reference" (before that date).

The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc.

The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas.

This entry contains the ParlaMint TEI-encoded corpora with the derived plain text version of the corpus along with TSV metadata on the speeches. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project.

Note that there also exists the linguistically marked-up version of the corpus, which is available at http://hdl.handle.net/11356/1431.