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Datasets:
Thermostatic
/
parallel_corpus_webcrawl_english_spanish_1

Tasks:
Translation
Modalities:
Text
Formats:
parquet
Languages:
English
Spanish
Size:
10K - 100K
Tags:
English
Spanish
Parallel corpus
Libraries:
Datasets
pandas
License:
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metadata
license: cc-by-4.0
task_categories:
  - translation
language:
  - en
  - es
tags:
  - English
  - Spanish
  - Parallel corpus
size_categories:
  - 10K<n<100K

Dataset Card for Dataset Name

This parallel corpus dataset contains about 21k rows of parallel English and Spanish texts obtained by crawling different websites. It has been filtered strictly.

Dataset Details

Dataset Description

This is a parallel corpus of bilingual texts crawled from multilingual websites, which contains 21, 005 TUs. A strict validation process has been followed, which resulted in discarding:

  • TUs from crawled websites that do not comply to the PSI directive,

  • TUs with more than 99% of mispelled tokens,

  • TUs identified during the manual validation process and all the TUs from websites which error rate in the sample extracted for manual validation is strictly above the following thresholds: 50% of TUs with language identification errors, 50% of TUs with alignment errors, 50% of TUs with tokenization errors, 20% of TUs identified as machine translated content, 50% of TUs with translation errors.

  • Period of crawling: 15/11/2016 - 23/01/2017 (DD/MM/YY).

  • Curated by: Directorate-General for Communications Networks, Content and Technology.

  • Funded by [optional]: [More Information Needed]

  • Shared by [optional]: [More Information Needed]

  • Language(s) (NLP): English & Spanish

  • License: cc-by-4.0

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Uses

This dataset is perfect for training Machine Translation algorithms.

Direct Use

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Dataset Structure

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Dataset Creation

Curation Rationale

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Source Data

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Personal and Sensitive Information

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Bias, Risks, and Limitations

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Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

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