Datasets:
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README.md
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dataset_info:
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features:
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- name: english
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- split: train
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path: data/train-*
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---
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language:
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- en
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- multilingual
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size_categories:
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- 10M<n<100M
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task_categories:
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- feature-extraction
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- sentence-similarity
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pretty_name: WikiTitles
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tags:
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- sentence-transformers
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dataset_info:
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features:
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- name: english
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- split: train
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path: data/train-*
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---
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# Dataset Card for Parallel Sentences - WikiTitles
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This dataset contains parallel sentences (i.e. English sentence + the same sentences in another language) for numerous other languages. Most of the sentences originate from the [OPUS website](https://opus.nlpl.eu/).
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In particular, this dataset contains the [WikiTitles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences) dataset.
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## Related Datasets
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The following datasets are also a part of the Parallel Sentences collection:
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* [parallel-sentences-europarl](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-europarl)
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* [parallel-sentences-global-voices](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-global-voices)
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* [parallel-sentences-muse](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-muse)
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* [parallel-sentences-jw300](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-jw300)
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* [parallel-sentences-news-commentary](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-news-commentary)
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* [parallel-sentences-opensubtitles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-opensubtitles)
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* [parallel-sentences-talks](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-talks)
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* [parallel-sentences-taboeba](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-taboeba)
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* [parallel-sentences-wikimatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikimatrix)
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* [parallel-sentences-wikititles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikititles)
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These datasets can be used to train multilingual sentence embedding models. For more information, see [sbert.net - Multilingual Models](https://www.sbert.net/examples/training/multilingual/README.html).
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## Dataset Stats
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* Columns: "english", "non_english"
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* Column types: `str`, `str`
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* Examples:
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```python
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```
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* Collection strategy: Processing the raw data from [parallel-sentences](https://huggingface.co/datasets/sentence-transformers/parallel-sentences) and formatting it in Parquet.
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* Deduplified: No
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