Datasets:

Multilinguality:
translation
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
License:

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Dataset Card for [tep_en_fa_para]

Dataset Summary

TEP: Tehran English-Persian parallel corpus. The first free Eng-Per corpus, provided by the Natural Language and Text Processing Laboratory, University of Tehran.

Supported Tasks and Leaderboards

The underlying task is machine translation for language pair English-Persian

Languages

English, Persian

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

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Data Splits

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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

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

[More Information Needed]

Citation Information

M. T. Pilevar, H. Faili, and A. H. Pilevar, “TEP: Tehran English-Persian Parallel Corpus”, in proceedings of 12th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2011).

Contributions

Thanks to @spatil6 for adding this dataset.

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