Datasets:
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README.md
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You can generate parallel text examples from this dataset like below:
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return out_df
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# Note: the "en" subset is >4GB
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parallel_labels(['en', 'fr', 'ja', 'zh'])
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```
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| | wikidata_id | en | fr | ja | zh |
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|---:|:--------------|:------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:---------------------------------------|:---------------------------------------------|
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| 0 | Q109739412 | SARS-CoV-2 Omicron variant | variant Omicron du SARS-CoV-2 | SARSコロナウイルス2-オミクロン株 | 嚴重急性呼吸道症候群冠狀病毒2型Omicron變異株 |
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| 3 | Q106496152 | Claude Joseph | Claude Joseph | クロード・ジョゼフ | 克洛德·约瑟夫 |
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| 4 | Q105519361 | The World's Finest Assassin Gets Reincarnated in a Different World as an Aristocrat | The World's Finest Assassin Gets Reincarnated in Another World as an Aristocrat | 世界最高の暗殺者、異世界貴族に転生する | 世界頂尖的暗殺者轉生為異世界貴族 |
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Note: this example shows a quirk(?) of the Wiki data. The French Wikipedia page [The World's Finest Assassin Gets Reincarnated in Another World as an Aristocrat](https://fr.wikipedia.org/wiki/The_World%27s_Finest_Assassin_Gets_Reincarnated_in_Another_World_as_an_Aristocrat)
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# Wikidata Labels
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Large parallel corpus for machine translation
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- Entity label data extracted from Wikidata (wikidata-20220103-all.json.gz), filtered for item entities only
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- Only download the languages you need with datasets>=2.14.0
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- Similar dataset: https://huggingface.co/datasets/wmt/wikititles (Selected Wikipedia titles pairs instead of all Wikidata entities)
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## Dataset Details
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### Dataset Sources
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- Wikidata JSON dump (2022-01-03) https://www.wikidata.org/wiki/Wikidata:Database_download
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## Uses
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You can generate parallel text examples from this dataset like below:
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return out_df
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# Note: the "en" subset is >4GB
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parallel_labels(['en', 'fr', 'ja', 'zh']).head()
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```
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### Output
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| | wikidata_id | en | fr | ja | zh |
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|---:|:--------------|:------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:---------------------------------------|:---------------------------------------------|
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| 0 | Q109739412 | SARS-CoV-2 Omicron variant | variant Omicron du SARS-CoV-2 | SARSコロナウイルス2-オミクロン株 | 嚴重急性呼吸道症候群冠狀病毒2型Omicron變異株 |
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| 3 | Q106496152 | Claude Joseph | Claude Joseph | クロード・ジョゼフ | 克洛德·约瑟夫 |
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| 4 | Q105519361 | The World's Finest Assassin Gets Reincarnated in a Different World as an Aristocrat | The World's Finest Assassin Gets Reincarnated in Another World as an Aristocrat | 世界最高の暗殺者、異世界貴族に転生する | 世界頂尖的暗殺者轉生為異世界貴族 |
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Note: this example table above shows a quirk(?) of the Wiki data. The French Wikipedia page [The World's Finest Assassin Gets Reincarnated in Another World as an Aristocrat](https://fr.wikipedia.org/wiki/The_World%27s_Finest_Assassin_Gets_Reincarnated_in_Another_World_as_an_Aristocrat) uses English for its title. While this could be disadvantageous for direct translation training, it also provides insights into how native speakers might call this entity instead of the literal translation on the Wiki page as well
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## Dataset Structure
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Each language has its own subset (aka config), which means you only have to download the languages you need with `datasets>=2.14.0`
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Each subset has these fields:
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- wikidata_id
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- lastrevid
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- label
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## Dataset Creation
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#### Data Collection and Processing
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- Filtered for item entities only
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- Ignored the descriptions as those texts are not very parallel
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## Bias, Risks, and Limitations
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- Might be slightly outdated (2022)
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- Popular languages have more entries
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- Labels are not guaranteed to be literal translations (see examples above)
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