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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@@ -19,9 +19,9 @@ source_datasets:
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- extended|web_nlg
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- extended|cleaned_e2e
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task_categories:
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task_ids:
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paperswithcode_id: dart
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pretty_name: DART
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---
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@@ -67,7 +67,7 @@ DART is a large dataset for open-domain structured data record to text generatio
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The task associated to DART is text generation from data records that are RDF triplets:
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| | BLEU | METEOR | TER | MoverScore | BERTScore | BLEURT |
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- extended|web_nlg
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- extended|cleaned_e2e
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task_categories:
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- tabular-to-text
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task_ids:
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- rdf-to-text
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paperswithcode_id: dart
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pretty_name: DART
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---
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The task associated to DART is text generation from data records that are RDF triplets:
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- `rdf-to-text`: The dataset can be used to train a model for text generation from RDF triplets, which consists in generating textual description of structured data. Success on this task is typically measured by achieving a *high* [BLEU](https://huggingface.co/metrics/bleu), [METEOR](https://huggingface.co/metrics/meteor), [BLEURT](https://huggingface.co/metrics/bleurt), [TER](https://huggingface.co/metrics/ter), [MoverScore](https://huggingface.co/metrics/mover_score), and [BERTScore](https://huggingface.co/metrics/bert_score). The ([BART-large model](https://huggingface.co/facebook/bart-large) from [BART](https://huggingface.co/transformers/model_doc/bart.html)) model currently achieves the following scores:
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| | BLEU | METEOR | TER | MoverScore | BERTScore | BLEURT |
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| ----- | ----- | ------ | ---- | ----------- | ---------- | ------ |
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