Dataset:
Tasks:
machine-translation
Task Categories:
conditional-text-generation
Multilinguality:
multilingual
Size Categories:
10K<n<100K
Licenses:
unknown
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Dataset Card for [Dataset Name]
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
[More Information Needed]
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
[More Information Needed]
Citation Information
@InProceedings{TIEDEMANN12.463,
author = {J�rg Tiedemann},
title = {Parallel Data, Tools and Interfaces in OPUS},
booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
year = {2012},
month = {may},
date = {23-25},
address = {Istanbul, Turkey},
editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Ugur Dogan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis},
publisher = {European Language Resources Association (ELRA)},
isbn = {978-2-9517408-7-7},
language = {english}
}
Contributions
Thanks to @patil-suraj for adding this dataset.
Homepage:
infopankki
Repository:
Repository:
Paper:
Paper:
Leaderboard:
Leaderboard:
Point of Contact:
Point of Contact:
Models trained or fine-tuned on opus_infopankki
None yet