Datasets:
Update datasets task tags to align tags with models (#4067)
Browse files* update tasks list
* update tags in dataset cards
* more cards updates
* update dataset tags parser
* fix multi-choice-qa
* style
* small improvements in some dataset cards
* allow certain tag fields to be empty
* update vision datasets tags
* use multi-class-image-classification and remove other tags
Commit from https://github.com/huggingface/datasets/commit/edb4411d4e884690b8b328dba4360dbda6b3cbc8
README.md
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@@ -38,9 +38,8 @@ size_categories:
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source_datasets:
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- original
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task_categories:
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-
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task_ids:
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- machine-translation
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paperswithcode_id: null
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pretty_name: EuropaEcdcTm
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---
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@@ -91,7 +90,7 @@ To load a language pair that is not part of the config, just specify the languag
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### Supported Tasks and Leaderboards
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- `
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### Languages
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source_datasets:
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- original
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task_categories:
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- translation
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task_ids: []
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paperswithcode_id: null
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pretty_name: EuropaEcdcTm
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---
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### Supported Tasks and Leaderboards
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- `text2text-generation`: the dataset can be used to train a model for `machine-translation`. Machine translation models are usually evaluated using metrics such as [BLEU](https://huggingface.co/metrics/bleu), [ROUGE](https://huggingface.co/metrics/rouge) or [SacreBLEU](https://huggingface.co/metrics/sacrebleu). You can use the [mBART](https://huggingface.co/facebook/mbart-large-cc25) model for this task. This task has active leaderboards which can be found at [https://paperswithcode.com/task/machine-translation](https://paperswithcode.com/task/machine-translation), which usually rank models based on [BLEU score](https://huggingface.co/metrics/bleu).
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### Languages
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