---
dataset_info:
  features:
  - name: split
    dtype: string
  - name: source
    dtype: string
  - name: gn
    dtype: string
  - name: es
    dtype: string
  - name: tokens_gn
    dtype: string
  - name: tokens_es
    dtype: string
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 11940579
    num_examples: 20207
  - name: validation
    num_bytes: 2820427
    num_examples: 5314
  - name: test
    num_bytes: 2836239
    num_examples: 5334
  download_size: 10257547
  dataset_size: 17597245
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
license: mit
task_categories:
- translation
- text-generation
language:
- es
- gn
- gug
- grn
pretty_name: jojajovai
size_categories:
- 10K<n<100K
---
# Jojajovai
A Parallel Guarani-Spanish Corpus for MT Benchmarking.

## Abstract
This work presents a parallel corpus of Guarani-Spanish text aligned at sentence level. The corpus contains about 30,000 sentence pairs, and is structured as a collection of subsets from different sources, further split into training, development and test sets. A sample of sentences from the test set was manually annotated by native speakers in order to incorporate meta-linguistic annotations about the Guarani dialects present in the corpus and also the correctness of the alignment and translation. We also present some baseline MT experiments and analyze the results in terms of the subsets. We hope this corpus can be used as a benchmark for testing Guarani-Spanish MT systems, and aim to expand and improve the quality of the corpus in future iterations.

## How cite?
```
@inproceedings{chiruzzo-etal-2022-jojajovai,
    title = "Jojajovai: A Parallel {G}uarani-{S}panish Corpus for {MT} Benchmarking",
    author = {Chiruzzo, Luis  and
      G{\'o}ngora, Santiago  and
      Alvarez, Aldo  and
      Gim{\'e}nez-Lugo, Gustavo  and
      Ag{\"u}ero-Torales, Marvin  and
      Rodr{\'i}guez, Yliana},
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2022.lrec-1.226/",
    pages = "2098--2107",
    abstract = "This work presents a parallel corpus of Guarani-Spanish text aligned at sentence level. The corpus contains about 30,000 sentence pairs, and is structured as a collection of subsets from different sources, further split into training, development and test sets. A sample of sentences from the test set was manually annotated by native speakers in order to incorporate meta-linguistic annotations about the Guarani dialects present in the corpus and also the correctness of the alignment and translation. We also present some baseline MT experiments and analyze the results in terms of the subsets. We hope this corpus can be used as a benchmark for testing Guarani-Spanish MT systems, and aim to expand and improve the quality of the corpus in future iterations."
}
```