---
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

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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

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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

### Dataset Sources [optional]

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- **Repository:** http://data.europa.eu/88u/dataset/elrc_339
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

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This dataset is perfect for training Machine Translation algorithms.

### Direct Use

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[More Information Needed]

### Out-of-Scope 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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#### Data Collection and Processing

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#### Who are the source data producers?

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### Annotations [optional]

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#### Annotation process

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#### Who are the annotators?

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#### Personal and Sensitive Information

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## Bias, Risks, and Limitations

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### Recommendations

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

## Citation [optional]

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**BibTeX:**

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**APA:**

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## Glossary [optional]

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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