## Dataset Description

- **Homepage:** cdleong.github.io

# Dataset Summary: 
Pig-latin machine and English parallel machine translation corpus. 

Based on [The Project Gutenberg EBook of "De Bello Gallico" and Other Commentaries](https://www.gutenberg.org/ebooks/10657)

Converted to pig-latin with https://github.com/bpabel/piglatin

Blank lines removed.

## Dataset Structure



```
DatasetDict({
    train: Dataset({
        features: ['translation'],
        num_rows: 14778
    })
    validation: Dataset({
        features: ['translation'],
        num_rows: 1000
    })
})
```

### Data Instances
```
{
  'translation': 
  {
    'eng': 'thrown into disorder they returned with more precipitation than is usual', 
    'engyay': 'own-thray into-ay isorder-day ey-thay eturned-ray ith-way ore-may ecipitation-pray an-thay is-ay usual-ay'
  }
}
```

### Data Fields

- `translation`: a dictionary containing two strings paired with a key indicating the corresponding language.

### Data Splits
- `train`: most of the data, 13,232 samples total.
- `dev`: 1k holdout samples, created with the datasets.train_test_split() function
task_categories:translation multilinguality:translation size_categories:10K<n<100K source_datasets:original language:en license:mit region:us
{"language": ["en"], "license": ["mit"], "multilinguality": ["translation"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["translation"], "task_ids": [], "language_details": "eng and engyay"}
TAGS
#task_categories-translation #multilinguality-translation #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #region-us 

## Dataset Description

- Homepage: URL

# Dataset Summary: 
Pig-latin machine and English parallel machine translation corpus. 

Based on The Project Gutenberg EBook of "De Bello Gallico" and Other Commentaries

Converted to pig-latin with URL

Blank lines removed.

## Dataset Structure





### Data Instances


### Data Fields

- 'translation': a dictionary containing two strings paired with a key indicating the corresponding language.

### Data Splits
- 'train': most of the data, 13,232 samples total.
- 'dev': 1k holdout samples, created with the datasets.train_test_split() function
## Dataset Description

- Homepage: URL # Dataset Summary: 
Pig-latin machine and English parallel machine translation corpus. 

Based on The Project Gutenberg EBook of "De Bello Gallico" and Other Commentaries

Converted to pig-latin with URL

Blank lines removed. ## Dataset Structure ### Data Instances ### Data Fields

- 'translation': a dictionary containing two strings paired with a key indicating the corresponding language. ### Data Splits
- 'train': most of the data, 13,232 samples total.
- 'dev': 1k holdout samples, created with the datasets.train_test_split() function
TAGS
#task_categories-translation #multilinguality-translation #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #region-us 
 ## Dataset Description

- Homepage: URL # Dataset Summary: 
Pig-latin machine and English parallel machine translation corpus. 

Based on The Project Gutenberg EBook of "De Bello Gallico" and Other Commentaries

Converted to pig-latin with URL

Blank lines removed. ## Dataset Structure ### Data Instances ### Data Fields

- 'translation': a dictionary containing two strings paired with a key indicating the corresponding language. ### Data Splits
- 'train': most of the data, 13,232 samples total.
- 'dev': 1k holdout samples, created with the datasets.train_test_split() function
passage: TAGS
#task_categories-translation #multilinguality-translation #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #region-us 
## Dataset Description

- Homepage: URL# Dataset Summary: 
Pig-latin machine and English parallel machine translation corpus. 

Based on The Project Gutenberg EBook of "De Bello Gallico" and Other Commentaries

Converted to pig-latin with URL

Blank lines removed.## Dataset Structure### Data Instances### Data Fields

- 'translation': a dictionary containing two strings paired with a key indicating the corresponding language.### Data Splits
- 'train': most of the data, 13,232 samples total.
- 'dev': 1k holdout samples, created with the datasets.train_test_split() function