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metadata
language: sq
size_categories:
  - 10K<n<100K
source_datasets: Kuvendi i Shqipërisë
dataset_info:
  features:
    - name: text
      dtype: string
    - name: speaker
      dtype: string
    - name: date
      dtype: string
    - name: id
      dtype: string
    - name: num_tokens
      dtype: int64
  splits:
    - name: train
      num_bytes: 118686642
      num_examples: 46929
  download_size: 63551464
  dataset_size: 118686642
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Albania-Parliament-Transcriptions

Open In Colab

The dataset comprises transcripts of speeches delivered by members of the Albanian Assembly during parliamentary sessions spanning from 2013. 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 Albanian Assembly (https://parlament.al/).

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".

To do

  • Conduct additional quality assurance checks to identify and correct any remaining errors in the dataset.
  • Add a column for the party of the speaker.

Dataset structure

The dataset contains the following fields: text, speaker, date, id, num_tokens.

Usage


from datasets import load_dataset

dataset = load_dataset('Kushtrim/Albania-Parliament-Transcriptions')

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.