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--- |
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dataset_info: |
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features: |
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- name: sentence |
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dtype: string |
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- name: length |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 295276162 |
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num_examples: 1257973 |
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- name: test |
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num_bytes: 73866396 |
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num_examples: 314494 |
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download_size: 175584739 |
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dataset_size: 369142558 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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license: apache-2.0 |
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language: |
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- dv |
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tags: |
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- dhivehi |
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- thaana |
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- spoken |
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- normalized |
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pretty_name: thaana_sentences |
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size_categories: |
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- 1M<n<10M |
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--- |
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# Dhivehi Sentences Dataset |
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This repository contains a dataset of Dhivehi (Thaaana, Maldivian) sentences processed and normalized for natural language processing tasks. |
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***This is a small version of the [Dhivehi Sentences Dataset Extended](https://huggingface.co/datasets/alakxender/dhivehi-sentences-extended)*** |
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## Dataset Description |
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The dataset combines text from multiple sources: |
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- Random News Articles |
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The sentences have been processed to: |
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- Split into individual sentences |
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- Normalize numbers into Dhivehi text form |
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- Normalize years into proper Dhivehi format |
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- Normalize time expressions |
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- Convert sentence endings to spoken form |
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- Standardize common suffixes and abbreviations |
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## Dataset Format |
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The dataset is split into train (80%) and test (20%) sets. Each row contains: |
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- sentence: The processed Dhivehi text |
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- length: Character length of the sentence |
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## Usage |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("alakxender/dhivehi-sentences-normalized") |
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# Print the first 10 rows of the dataset |
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print(ds["train"][:10]) |
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``` |
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--- |
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***Note: Chunked and created using [dv-normalizer](https://pypi.org/project/dv-normalizer/) v0.1.2*** |
