README.md

metadata

license: mit
dataset_info:
  features:
    - name: author
      dtype: string
    - name: category
      dtype: string
    - name: category_bn
      dtype: string
    - name: published_date
      dtype: string
    - name: modification_date
      dtype: string
    - name: tag
      dtype: string
    - name: comment_count
      dtype: float64
    - name: title
      dtype: string
    - name: url
      dtype: string
    - name: content
      dtype: string
    - name: __index_level_0__
      dtype: int64
  splits:
    - name: train
      num_bytes: 1382983461
      num_examples: 265506
    - name: valid
      num_bytes: 319504730
      num_examples: 61274
    - name: test_1
      num_bytes: 424705486
      num_examples: 81691
    - name: test_2
      num_bytes: 10496205
      num_examples: 2000
  download_size: 789893974
  dataset_size: 2137689882
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: valid
        path: data/valid-*
      - split: test_1
        path: data/test_1-*
      - split: test_2
        path: data/test_2-*
task_categories:
  - text-classification
language:
  - bn
pretty_name: Bangla News Dataset
size_categories:
  - 100K<n<1M

Bangla Newspaper Dataset

400k+ bangla news samples, 25+ categories

Source

Data collected from https://www.prothomalo.com/archive [Copyright owned by the actual source]

Github

Github repository (Bi-LSTM Baseline): https://github.com/zabir-nabil/bangla-news-rnn

Kaggle Version

Kaggle Dataset: https://www.kaggle.com/datasets/furcifer/bangla-newspaper-dataset

Inspiration

The dataset can be used for Bangla text classification and generation experiments.

Citation

BibTex

@misc{zabir_al_nazi_2020,
    title={Bangla Newspaper Dataset},
    url={https://www.kaggle.com/dsv/1576225},
    DOI={10.34740/KAGGLE/DSV/1576225},
    publisher={Kaggle},
    author={Zabir Al Nazi},
    year={2020}
}

APA

Zabir Al Nazi. (2020). Bangla Newspaper Dataset [Data set]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/1576225

DOI

10.34740/kaggle/dsv/1576225