metadata

dataset_info:
  features:
    - name: correct
      dtype: string
    - name: incorrect
      dtype: string
  splits:
    - name: train
      num_bytes: 1211373359.8361242
      num_examples: 3161164
    - name: test
      num_bytes: 151421861.5819379
      num_examples: 395146
    - name: validation
      num_bytes: 151421861.5819379
      num_examples: 395146
  download_size: 752362217
  dataset_size: 1514217083
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
      - split: validation
        path: data/validation-*
language:
  - dv
license: apache-2.0
pretty_name: dv_text_erros

DV Text Errors

Dhivehi text error correction dataset containing correct sentences and synthetically generated errors. The dataset aims to test Dhivehi language error correction models and tools.

About Dataset

Task: Text error correction
Language: Dhivehi (dv)

Dataset Structure

Input-output pairs of Dhivehi text:

correct: Original correct sentences
incorrect: Sentences with synthetic errors

Statistics

Train set: {train_examples} examples ({0.7999997975429817}%)
Test set: {test_examples} examples ({0.10000010122850919}%)
Validation set: {val_examples} examples ({0.10000010122850919}%)

Details:

Unique words: {448628}

{
  "total_examples": {
    "train": 3161164,
    "test": 395146,
    "validation": 395146
  },
  "avg_sentence_length": {
    "train": 11.968980097204701,
    "test": 11.961302910822836,
    "validation": 11.973824864733542
  },
  "error_distribution": {
    "min": 0,
    "max": 2411,
    "avg": 64.85144965588626
  }
}

Usage

from datasets import load_dataset

dataset = load_dataset("alakxender/dv-synthetic-errors")

Dataset Creation

Created using:

Source: Collection of Dhivehi articles
Error generation: Character and diacritic substitutions
Error rate: 30% per word probability