Datasets:

Multilinguality:
translation
Size Categories:
1K<n<10K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
lhoestq HF staff commited on
Commit
e441a90
1 Parent(s): 4d47136

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

Files changed (1) hide show
  1. README.md +3 -4
README.md CHANGED
@@ -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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- - conditional-text-generation
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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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  ---
@@ -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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- - `conditional-text-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
97
 
 
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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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