---
dataset_info:
  features:
  - name: truth
    dtype: string
  - name: error
    dtype: string
  splits:
  - name: train
    num_bytes: 360120551
    num_examples: 793692
  download_size: 57539588
  dataset_size: 360120551
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: apache-2.0
language:
- dv
tags:
- asr_errors
- dhivehi
pretty_name: 'asr_dhivehi_error '
size_categories:
- 10K<n<100K
---
# Dhivehi ASR Errors Dataset

## Dataset Description

This dataset contains Dhivehi (Maldivian) text with corresponding ASR (Automatic Speech Recognition) errors. It can be used for training error correction models, evaluating ASR systems for Dhivehi, or for linguistic analysis of common error patterns.

## Dataset Structure

- `truth`: The original, correct Dhivehi text
- `error`: The text with ASR errors

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("alakxender/dhivehi-asr-errors")

```

## Dataset Creation
This dataset was created by combining real ASR errors with synthetically generated errors that mimic common patterns found in ASR systems for the Dhivehi language. The synthetic errors were generated by analyzing patterns in real ASR errors and applying similar transformations, including:

- Character substitutions (similar-looking Dhivehi characters)
- Diacritic modifications or omissions
- Word boundary changes (merging or splitting words)
- Character insertions and deletions
- Phonetically plausible errors

## Example Uses
This dataset can be used for:

- Training ASR post-correction models
- Analyzing common error patterns in Dhivehi ASR systems
- Developing more robust NLP systems for Dhivehi
- Linguistic analysis of phonetic similarities in Dhivehi