metadata

license: apache-2.0
tags:
  - bangla
  - punctuation-restoration
  - text
  - language-modeling
language:
  - bn
pretty_name: Clean Oscar Bangla Punctuation Dataset
dataset_info:
  features:
    - name: Row Content
      dtype: string
  splits:
    - name: train
      num_bytes: 8595523313
      num_examples: 16040735
  download_size: 3248700472
  dataset_size: 8595523313
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Dataset Card for Clean Oscar Bangla Punctuation Dataset

Dataset Summary

This dataset is a cleaned version of the oscar_23_01_bn_train dataset, curated specifically for training Bangla sentence punctuation restoration models. It includes cleaned and normalized Bangla text with annotations for various punctuation marks. The dataset is suitable for sequence labeling and punctuation restoration tasks in natural language processing (NLP).

Supported Tasks

Punctuation Restoration: Predict punctuation marks for Bangla text sequences.
Language Modeling: Train models that understand Bangla sentence structure and punctuation usage.

Languages

Bangla (bn)

Dataset Structure

The dataset contains sentences in Bangla with associated punctuation mark annotations. It is typically used for supervised training in models that restore punctuation in plain Bangla text.

Punctuation Marks Distribution

The dataset includes the following punctuation types:

Punctuation Type	Count
DARI (।)	44,697,345
COMMA (,)	19,770,040
QUESTION (?)	2,425,348
HYPHEN (-)	5,278,590
EXCLAMATION (!)	1,767,095
COLON (:)	1,394,613
SEMICOLON (;)	313,558

Usage Example

Here's how to load the dataset using the 🤗 Datasets library:

from datasets import load_dataset

dataset = load_dataset("abdullahalmunem/ha-pr-bn-munem-generated")
print(dataset["train"][0])