README.md

---
license: cc-by-4.0
language:
- gl
task_categories:
- text-classification
pretty_name: paws-ca
tags:
- paraphrase-identification
dataset_info:
  features:
  - name: id
    dtype: string
  - name: sentence1
    dtype: string
  - name: sentence2
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
---

# Dataset Card for PAWS-gl

The PAWS-gl dataset (Paraphrase Adversaries from Word Scrambling in Galician) is a translation of the English PAWS dataset.

## Dataset Details

- **Curated by:** [Proxecto Nós](https://doagalego.nos.gal/)
- **Language(s) (NLP):** Galician
- **License:** [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/)

### Dataset Sources

- **Repository:** [Proxecto NÓS at HuggingFace](https://huggingface.co/proxectonos)

### Supported Tasks and Leaderboards

Paraphrase Identification, Language Model

## Dataset Structure

### Data Instances

This dataset contains more than 2000 entries. Two examples are provided below:

|  Id | Sentence 1                    | Sentence 2                    | Label |
| :-- | :---------------------------- | :---------------------------- | :---- |
| 10  | A excepción foi entre finais de 2005 e 2009 cando xogou en Suecia co Carlstad United BK, Serbia co FK Borac Čačak e o FC ruso Terek Grozny. | A excepción deuse entre finais de 2005 e 2009, cando xogou en Suecia co Carlstad United BK, Serbia co FK Borac Čačak e o FC ruso Terek Grozny. | 1    |
| 12  | O Tabaci é un afluente do río Leurda en Romanía. | O Leurda é un afluente do río Tabaci en Romanía. | 0   |

Each label has two possible values: `0` indicates the pair has different meaning, while `1` indicates the pair is a paraphrase.

### Data Fields

- `id`: a string identifier
- `sentence1`: a string containing the first sentence
- `sentence2`: a string containing the second sentence
- `label`: a binary label indicating whether the two sentences are paraphrases of each other

## Funding
This dataset was compiled within the Nós Project, funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the [project ILENIA](https://proyectoilenia.es/) with reference 2022/TL22/00215336.