Datasets:
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README.md
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dataset_info:
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- config_name: en-ar
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features:
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- split: dev
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path: en-zh-tw/dev-*
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---
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language:
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- en
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- multilingual
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- ar
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- bg
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- ca
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- cs
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- da
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- de
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- el
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- es
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- et
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- fa
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- fi
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- fr
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- gl
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- gu
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- he
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- hi
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- hr
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- hu
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- hy
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- id
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- it
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- ja
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- ka
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- ko
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- ku
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- lt
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- lv
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- mk
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- mn
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- mr
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- ms
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- my
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- nb
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- nl
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- pl
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- pt
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- ro
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- ru
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- sk
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- sl
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- sq
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- sr
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- sv
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- th
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- tr
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- uk
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- ur
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- vi
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- zh
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size_categories:
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- 1M<n<10M
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task_categories:
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- feature-extraction
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- sentence-similarity
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pretty_name: Talks
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tags:
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- sentence-transformers
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dataset_info:
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- config_name: en-ar
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features:
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- split: dev
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path: en-zh-tw/dev-*
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---
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# Dataset Card for Parallel Sentences - Talks
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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 [Talks](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-tatoeba](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-tatoeba)
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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 Subsets
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### `all` subset
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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: Combining all other subsets from this dataset.
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* Deduplified: No
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### `en-...` subsets
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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, followed by deduplication.
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* Deduplified: Yes
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