Update datasets task tags to align tags with models (#4067)

* 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

@@ -14,10 +14,12 @@ size_categories:
 source_datasets:
 - original
 task_categories:
-- sequence-modeling
+- text-generation
+- fill-mask
 task_ids:
 - dialogue-modeling
-- sequence-modeling-other-conversational-curiosity
+- text-generation
+- fill-mask-other-conversational-curiosity
 paperswithcode_id: curiosity
 pretty_name: Curiosity Dataset
 ---
@@ -61,7 +63,7 @@ Curiosity dataset consists of 14K English dialogs (181K utterances) where users
 
 ### Supported Tasks and Leaderboards
 
-* `sequence-modeling-other-conversational-curiosity`: The dataset can be used to train a model for Conversational Curiosity, which consists in the testing of the hypothesis that engagement increases when users are presented with facts related to what they know. Success on this task is typically measured by achieving a *high* [Accuracy](https://huggingface.co/metrics/accuracy) and [F1 Score](https://huggingface.co/metrics/f1).
+* `text-generation-other-conversational-curiosity`: The dataset can be used to train a model for Conversational Curiosity, which consists in the testing of the hypothesis that engagement increases when users are presented with facts related to what they know. Success on this task is typically measured by achieving a *high* [Accuracy](https://huggingface.co/metrics/accuracy) and [F1 Score](https://huggingface.co/metrics/f1).
 
 ### Languages