Hugging Face's logo

Datasets:
projecte-aina
/
CA-EU_Parallel_Corpus

Tasks:
Translation
Modalities:
Text
Formats:
parquet
Languages:
Catalan
Basque
Size:
10M - 100M
DOI:
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
1
CA-EU_Parallel_Corpus
File size: 4,030 Bytes 
d7f644a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
 
---
language:
- ca
- eu
- multilingual
multilinguality:
- translation
pretty_name: CA-EU Parallel Corpus
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- translation
task_ids: []
---

# Dataset Card for CA-PT Parallel Corpus

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Splits](#data-instances)
- [Dataset Creation](#dataset-creation)
  - [Source Data](#source-data)
  - [Data preparation](#data-preparation)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Author](#author)
  - [Contact Information](#contact-information)
  - [Copyright](#copyright)
  - [Licensing information](#licenciung-informatrion)
  - [Funding](#funding)

## Dataset Description

### Dataset Summary

The CA-EU Parallel Corpus is a Catalan-Basque dataset of **133.085.493** parallel sentences. The dataset was created to support Catalan NLP tasks, e.g., 
Machine Translation.

### Supported Tasks and Leaderboards

The dataset can be used to train a model for Multilingual Machine Translation. Success on this task is typically measured by achieving a high BLEU score.

### Languages

The texts in the dataset are in Catalan and Basque.

## Dataset Structure

Two separated txt files are provided with the sentences sorted in the same order:

- xxx.ca: contains XXX Catalan sentences.

- xxx.eu: contains XXX Basque sentences.

### Data Splits

The dataset contains a single split: `train`.

## Dataset Creation

### Source Data

Euskera-Catalan data collected from the web ([Opus](https://opus.nlpl.eu/)): 1.531.980 sentences
Synthetic parallel data created in the frame of Project Ilenia by machine translating the parallel corpora ES-EU from Gaitu: 9.600.000 sentences.
Synthetic parallel data created in the frame of Project Ilenia by machine translating the parallel corpora ES-GL from Nós: 36.000.000 sentences.
Synthetic parallel data created in the frame of Project Ilenia by machine translating the parallel corpora ES-CA from AINA: 85.953.513 sentences.

**Total:  133.085.493 parallel sentences** .

### Data preparation

 All datasets are deduplicated and filtered to remove any sentence pairs with a cosine similarity of less than 0.75.
 This is done using sentence embeddings calculated using [LaBSE](https://huggingface.co/sentence-transformers/LaBSE).

### Personal and Sensitive Information

No anonymisation process was performed.

## Considerations for Using the Data

### Social Impact of Dataset

The purpose of this dataset is to help develop Machines Translation tasks for low-resource languages such as Catalan.

### Discussion of Biases

We are aware that since part of the data comes from unreliable web pages and non-curated texts, some biases may be present in the dataset.
Nonetheless, we have not applied any steps to reduce their impact.

### Other Known Limitations

The dataset contains data of a general domain. Application of this dataset in more specific domains such as biomedical, legal etc. would be of limited use.

## Additional Information

### Author
Language Technologies Unit (LangTech) at the Barcelona Supercomputing Center.

### Contact information
For further information, please send an email to langtech@bsc.es.

### Copyright
Copyright Language Technologies Unit at Barcelona Supercomputing Center (2023).

### Licensing information
This work is licensed under a [Attribution-NonCommercial-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-nc-sa/4.0/).

### Funding
This work was funded by the SEDIA within the framework of ILENIA.