Datasets:

Helsinki-NLP
/

opus_infopankki

---
annotations_creators:
- found
language_creators:
- found
language:
- ar
- en
- es
- et
- fa
- fi
- fr
- ru
- so
- sv
- tr
- zh
license: cc-by-4.0
multilinguality:
- multilingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- translation
task_ids: []
pretty_name: OpusInfopankki
config_names:
- ar-en
- ar-es
- ar-et
- ar-fa
- ar-fi
- ar-fr
- ar-ru
- ar-so
- ar-sv
- ar-tr
- ar-zh
- en-es
- en-et
- en-fa
- en-fi
- en-fr
- en-ru
- en-so
- en-sv
- en-tr
- en-zh
- es-et
- es-fa
- es-fi
- es-fr
- es-ru
- es-so
- es-sv
- es-tr
- es-zh
- et-fa
- et-fi
- et-fr
- et-ru
- et-so
- et-sv
- et-tr
- et-zh
- fa-fi
- fa-fr
- fa-ru
- fa-so
- fa-sv
- fa-tr
- fa-zh
- fi-fr
- fi-ru
- fi-so
- fi-sv
- fi-tr
- fi-zh
- fr-ru
- fr-so
- fr-sv
- fr-tr
- fr-zh
- ru-so
- ru-sv
- ru-tr
- ru-zh
- so-sv
- so-tr
- so-zh
- sv-tr
- sv-zh
- tr-zh
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configs:
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- config_name: ar-es
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    path: ar-es/train-*
- config_name: ar-et
  data_files:
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- config_name: ar-fa
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    path: ar-fa/train-*
- config_name: ar-fi
  data_files:
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- config_name: ar-fr
  data_files:
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    path: ar-fr/train-*
- config_name: ar-ru
  data_files:
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    path: ar-ru/train-*
- config_name: ar-so
  data_files:
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    path: ar-so/train-*
- config_name: ar-sv
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    path: ar-sv/train-*
- config_name: ar-tr
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    path: ar-tr/train-*
- config_name: ar-zh
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    path: ar-zh/train-*
- config_name: en-es
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    path: en-es/train-*
- config_name: en-et
  data_files:
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    path: en-et/train-*
- config_name: en-fa
  data_files:
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    path: en-fa/train-*
- config_name: en-fi
  data_files:
  - split: train
    path: en-fi/train-*
- config_name: en-fr
  data_files:
  - split: train
    path: en-fr/train-*
---

# Dataset Card for infopankki

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [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)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** https://opus.nlpl.eu/infopankki/corpus/version/infopankki
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Leaderboard:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Dataset Summary

A parallel corpus of 12 languages, 66 bitexts.

### Supported Tasks and Leaderboards

The underlying task is machine translation.

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

Source: http://www.infopankki.fi via the Open Data API

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

Licensed under [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/).

### Citation Information

If you use any part of the corpus in your own work, please cite the following article:
```
@inproceedings{tiedemann-2012-parallel,
    title = "Parallel Data, Tools and Interfaces in {OPUS}",
    author = {Tiedemann, J{\"o}rg},
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Do{\u{g}}an, Mehmet U{\u{g}}ur  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
    month = may,
    year = "2012",
    address = "Istanbul, Turkey",
    publisher = "European Language Resources Association (ELRA)",
    url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf",
    pages = "2214--2218",
    abstract = "This paper presents the current status of OPUS, a growing language resource of parallel corpora and related tools. The focus in OPUS is to provide freely available data sets in various formats together with basic annotation to be useful for applications in computational linguistics, translation studies and cross-linguistic corpus studies. In this paper, we report about new data sets and their features, additional annotation tools and models provided from the website and essential interfaces and on-line services included in the project.",
}
```

### Contributions

Thanks to [@patil-suraj](https://github.com/patil-suraj) for adding this dataset.