| --- |
| 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} |
| |
| ```json |
| { |
| "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 |
|
|
| ```python |
| 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 |
