The project aims at providing the data required to study the descriptive representation of citizens of immigrant origin (CIOs). The main aim is to provide an overview of the social and political profile of Member of Parliament (MPs), with a particular focus on identifying MPs of immigrant origin. In addition to the national level dataset described below, a corresponding regional level dataset is available.

Identification variables: Political level (regional, national); country-ID (NUTS); name of region; region-id (NUTS); date of relevant election; full name of district in which elected; level of electoral tier (first / Lower (or single tier); identifier for tier 1 to 3 districts at national level; number of legislatures in the country, as recorded by the parliament itself; date in which the legislature begins and ends; first name, first (second) surname of MP; MP-ID; national MP is also simultaneously a regional MP; which regional MP.

Demography: sex of MP; year of birth of MP; highest level of education (ISCED 1997); last occupation /profession of the MP before first ever becoming an MP (ISCO 2008); occupation sector when first elected; current occupation/ profession of the MP (ISCO 2008); current occupation sector.

Electoral and parliamentary tenure variables: number of times the MP has been previously elected to parliament in this district; type of electoral district; number of times the MP has been previously elected to parliament in this tier; Rookie: MP elected for the first time in this term; number of times the MP has been elected to parliament; number of times the MP has taken up the seat in parliament once elected; year when the MP was first elected to national/regional parliament; total number of years spent in national/regional parliament as MP, prior to this legislature (seniority); when was the MP elected for the last time prior to this legislature (continuity); MP was elected to chamber from inauguration; MP stayed continuously with no interruptions from the moment of taking up the seat until the end of the legislative term; number of months the MP did serve (if he did not serve a full legislative term); MP came back to reclaim the seat if MP left seat at some point; position in party list; rank position in which the MP was elected in district; double candidacy in another tier; MP won seat as incumbent, or as contender; parliamentary group the MP joined at the beginning and at the end of his/her term; full name and acronym of party or list in which elected; party code according to the CMP (Comparative Manifesto Project) dataset; party-ID.

Immigrant origin variables (corresponding coding for MPs mother and father): MP was born in the country of parliament; country (ISO 3166-1), world region (UN Classification for ‘Composition of macro geographical regions’), and country region (NUTS) in which the MP was born; data sources for country of birth (e.g. official parliamentary source, personal blogs, etc.); specific sources for country of birth; reliability of the data regarding the country of birth of the MP (as judged by the coder); year of immigration; born as a national citizen of the country of parliament; country of nationality at birth; data sources country of nationality at birth; specific sources for country of citizenship at birth; reliability of the data regarding citizenship at birth; year in which naturalized as a citizen; data sources year of naturalization; specific sources for date of naturalization; reliability of the data regarding naturalization.

Variables relating to aspects potentially related to discrimination: the MP is a native speaker of an official country language and data sources; specific sources for native language of MP; MP can be perceived by voters as a member of an ‘identifiable’ minority; source where picture found; specific sources for picture of MP; does the MP self-identify as a member of an ethnic minority; ethnicity; sources and specific sources for information on ethnic self-identification of MP; self-identification as a member of a certain religion; religion the MP identifies with.

Party career and committee membership variables: year in which the MP joined the party for which she/he was elected in this legislative term; highest position within the party; MP changed party affiliation during the legislative term; date of change; full name and party acronym of the new party joined, CMP code of the new party and Pathways identifier for party; (corresponding co...

High Frequency Indicator: The dataset contains year-, month-, date- and person-wise compiled data from the year 2013 to till date on different types of Foreign Gifts and Presentations disclosed in Toshakhana as received by the Presidents, Prime Ministers, MPs, Government Officials and Others, along with details of location and monetary value of each Gift and Presentation received.

A dataset of German parliament debates covering 74 years of plenary protocols across all 16 state parliaments of Germany as well as the German Bundestag. The debates are separated into individual speeches which are enriched with meta data identifying the speaker as a member of the parliament (mp).

When using this data set, please cite the original paper "Lange, K.-R., Jentsch, C. (2023). SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments. Proceedings of the 3rd Workshop on Computational Linguistics for Political Text Analysis@KONVENS 2023.".

The meta data is separated into two different types: time-specific meta-data that contains only information for a legislative period but can change over time (e.g. the party or constituency of an mp) and meta-data that is considered fixed, such as the birth date or the name of a speaker. The former information are stored aong with the speeches as it is considered temporal information of that point in time, but are additionally stored in the file all_mps_mapping.csv if there is the need to double-check something. The rest of the meta-data are stored in the file all_mps_meta.csv. The meta-data from this file can be matched with a speech by comparing the speaker ID-variable "MPID". The speeches of each parliament are saved in a csv format. Along with the speeches, they contain the following meta-data:

• Period: int. The period in which the speech took place
• Session: int. The session in which the speech took place
• Chair: boolean. The information if the speaker was the chair of the plenary session
• Interjection: boolean. The information if the speech is a comment or an interjection from the crowd
• Party: list (e.g. ["cdu"] or ["cdu", "fdp"] when having more than one speaker during an interjection). List of the party of the speaker or the parties whom the comment/interjection references
• Consituency: string. The consituency of the speaker in the current legislative period
• MPID: int. The ID of the speaker, which can be used to get more meta-data from the file all_mps_meta.csv

The file all_mps_meta.csv contains the following meta information:

• MPID: int. The ID of the speaker, which can be used to match the mp with his/her speeches.
• WikipediaLink: The Link to the mps Wikipedia page
• WikiDataLink: The Link to the mps WikiData page
• Name: string. The full name of the mp.
• Last Name: string. The last name of the mp, found on WikiData. If no last name is given on WikiData, the full name was heuristically cut at the last space to get the information neccessary for splitting the speeches.
• Born: string, format: YYYY-MM-DD. Birth date of the mp. If an exact birth date is found on WikiData, this exact date is used. Otherwise, a day in the year of birth given on Wikipedia is used.
• SexOrGender: string. Information on the sex or gender of the mp. Disclaimer: This infomation was taken from WikiData, which does not seem to differentiate between sex or gender.
• Occupation: list. Occupation(s) of the mp.
• Religion: string. Religious believes of the mp.
• AbgeordnetenwatchID: int. ID of the mp on the website Abgeordnetenwatch