datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
turkish_parliamentary_data
Grand National Assembly Corpus of Türkiye (GNACT)
A comprehensive collection of Turkish parliamentary transcripts spanning over 100 years (1920–present), from 10 legislative bodies. Includes both Ottoman Turkish (1920–1928) and Modern Turkish (1928–present) texts.
Loading the dataset
from datasets import load_dataset
# Strategy 1: full session documents, all bodies (default)
ds = load_dataset("boun-tabilab/turkish_parliamentary_data", "full_sessions", split="train")
#… See the full description on the dataset page: https://huggingface.co/datasets/boun-tabilab/turkish_parliamentary_data.parliamentrag-camera-leg19
ParliamentRAG — Italian Chamber of Deputies, 19th legislature
Full proceedings of the Italian Chamber of Deputies (Camera dei deputati) for the 19th legislature, from the first sitting on 13 October 2022 through 6 August 2026: verbatim speech transcripts, roll-call votes with every individual ballot, parliamentary acts with EuroVoc subjects, and the deputies' group, committee and government memberships over time. The dataset is refreshed as new sittings are ingested.
The tables… See the full description on the dataset page: https://huggingface.co/datasets/emeierkeio/parliamentrag-camera-leg19.german-parliament-speeches
German Parliament Speeches
This dataset contains speeches from the German parliament, derived from the Open Discourse Project (Harvard Dataverse).
Source
Data source:
Open Discourse ProjectHarvard DataverseDOI: 10.7910/DVN/FIKIBO
Original citation:
@data{DVN/FIKIBO_2020,
author = {Richter, Florian and Koch, Philipp and Franke, Oliver and Kraus, Jakob and Kuruc, Fabrizio and Thiem, Anja and Högerl, Judith and Heine, Stella and Schöps, Konstantin},
publisher = {Harvard… See the full description on the dataset page: https://huggingface.co/datasets/emilpartow/german-parliament-speeches.mk-parliament-qa
Macedonian Parliamentary QA (RAG Evaluation)
A question-answering benchmark in Macedonian, built over transcripts of plenary
sessions of the Assembly of the Republic of North Macedonia. It is intended for
evaluating retrieval-augmented generation systems on a low-resource language,
with questions that require single-passage, multi-passage, and cross-document
reasoning.
Dataset structure
Two configs are provided.
questions
Field
Type… See the full description on the dataset page: https://huggingface.co/datasets/stojchevamarija/mk-parliament-qa.