lhoestq HF staff commited on
Commit
deda21a
1 Parent(s): 1ae4115

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 -3
README.md CHANGED
@@ -16,10 +16,10 @@ size_categories:
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  source_datasets:
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  - extended|eli5
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  task_categories:
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- - question-answering
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  task_ids:
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  - abstractive-qa
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- - open-domain-qa
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  ---
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  # Dataset Card for ELI5-Category
@@ -61,7 +61,7 @@ The ELI5-Category dataset is a smaller but newer and categorized version of the
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  ### Supported Tasks and Leaderboards
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- - `abstractive-qa`, `open-domain-qa`: The dataset can be used to train a model for Open Domain Long Form Question Answering. An LFQA model is presented with a non-factoid and asked to retrieve relevant information from a knowledge source (such as [Wikipedia](https://www.wikipedia.org/)), then use it to generate a multi-sentence answer.
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  ### Languages
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  source_datasets:
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  - extended|eli5
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  task_categories:
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+ - text2text-generation
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  task_ids:
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  - abstractive-qa
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+ - open-domain-abstractive-qa
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  ---
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  # Dataset Card for ELI5-Category
 
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  ### Supported Tasks and Leaderboards
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+ - `abstractive-qa`, `open-domain-abstractive-qa`: The dataset can be used to train a model for Open Domain Long Form Question Answering. An LFQA model is presented with a non-factoid and asked to retrieve relevant information from a knowledge source (such as [Wikipedia](https://www.wikipedia.org/)), then use it to generate a multi-sentence answer.
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  ### Languages
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