language: sq
size_categories:
- 100K<n<1M
source_datasets: Kuvendi i Kosovës
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: text
dtype: string
- name: speaker
dtype: string
- name: date
dtype: string
- name: id
dtype: string
- name: num_tokens
dtype: int64
- name: embeddings
dtype: string
splits:
- name: train
num_bytes: 3337553428
num_examples: 138918
download_size: 2285281048
dataset_size: 3337553428
Kosovo-Parliament-Transcriptions
The dataset comprises transcripts of speeches delivered by members of the Kosovo Assembly during parliamentary sessions spanning from 2001. The goal of this repository is to provide a valuable resource for researchers and professionals interested in natural language processing, or political discourse analysis.
Data source
The dataset was compiled from publicly available transcripts published on the current and old official website of the Kosovo Assembly (https://kuvendikosoves.org/).
Data Preperation
The dataset was compiled by downloading PDF files and converting them to a text format using OCR. The resulting text was then cleaned to fix punctuation and spelling errors. It's important to note that due to the complexity of the PDF-to-text conversion process, the dataset may still contain typos and other errors. As a result, the dataset is provided "as is". Additionally, it should be noted that the dataset includes speeches given in languages other than Albanian.
To-Do List
- Create Embeddings: Generated embeddings for the speeches.
- Quality Assurance: Conduct additional checks to identify and correct any remaining errors in the dataset.
Dataset structure
The dataset contains the following fields: text, speaker, date, id, num_tokens, embeddings.
Usage
from datasets import load_dataset
dataset = load_dataset('Kushtrim/Kosovo-Parliament-Transcriptions')
dataset
License
The dataset is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
Citation
If you use this dataset in your research, please consider citing this repository.