README.md

metadata

dataset_info:
  features:
    - name: sentence
      dtype: string
    - name: length
      dtype: int64
  splits:
    - name: train
      num_bytes: 295276162
      num_examples: 1257973
    - name: test
      num_bytes: 73866396
      num_examples: 314494
  download_size: 175584739
  dataset_size: 369142558
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
license: apache-2.0
language:
  - dv
tags:
  - dhivehi
  - thaana
  - spoken
  - normalized
pretty_name: thaana_sentences
size_categories:
  - 1M<n<10M

Dhivehi Sentences Dataset

This repository contains a dataset of Dhivehi (Thaaana, Maldivian) sentences processed and normalized for natural language processing tasks.

This is a small version of the Dhivehi Sentences Dataset Extended

Dataset Description

The dataset combines text from multiple sources:

• Random News Articles

The sentences have been processed to:

• Split into individual sentences
• Normalize numbers into Dhivehi text form
• Normalize years into proper Dhivehi format
• Normalize time expressions
• Convert sentence endings to spoken form
• Standardize common suffixes and abbreviations

Dataset Format

The dataset is split into train (80%) and test (20%) sets. Each row contains:

• sentence: The processed Dhivehi text
• length: Character length of the sentence

Usage

from datasets import load_dataset

ds = load_dataset("alakxender/dhivehi-sentences-normalized")

# Print the first 10 rows of the dataset
print(ds["train"][:10])

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Note: Chunked and created using dv-normalizer v0.1.2