pretty_name for dataset in YAML tags

datasets/acronym_identification/README.md

@@ -18,6 +18,7 @@ task_categories:
 task_ids:
 - structure-prediction-other-acronym-identification
 paperswithcode_id: acronym-identification
+pretty_name: Acronym Identification Dataset
 ---
 
 # Dataset Card for Acronym Identification Dataset
@@ -117,7 +118,7 @@ The training, validation, and test set contain `14,006`, `1,717`, and `1750` sen
 > This is unfortunate as rules are in general not able to capture all the diverse forms to express acronyms and their long forms in text.
 > Second, most of the existing datasets are in the medical domain, ignoring the challenges in other scientific domains.
 > In order to address these limitations this paper introduces two new datasets for Acronym Identification.
-> Notably, our datasets are annotated by human to achieve high quality and have substantially larger numbers of examples than the existing AI datasets in the non-medical domain. 
+> Notably, our datasets are annotated by human to achieve high quality and have substantially larger numbers of examples than the existing AI datasets in the non-medical domain.
 
 ### Source Data
 

datasets/ade_corpus_v2/README.md

@@ -33,6 +33,10 @@ task_ids:
   Ade_corpus_v2_drug_dosage_relation:
   - coreference-resolution
 paperswithcode_id: null
+pretty_name:
+  Ade_corpus_v2_classification: Adverse Drug Reaction Data v2 (Ade_corpus_v2_classification)
+  Ade_corpus_v2_drug_ade_relation: Adverse Drug Reaction Data v2 (Ade_corpus_v2_drug_ade_relation)
+  Ade_corpus_v2_drug_dosage_relation: Adverse Drug Reaction Data v2 (Ade_corpus_v2_drug_dosage_relation)
 ---
 
 # Dataset Card for Adverse Drug Reaction Data v2
@@ -92,7 +96,7 @@ English
 #### Config - `Ade_corpus_v2_classification`
 ```
 {
-      'label': 1, 
+      'label': 1,
       'text': 'Intravenous azithromycin-induced ototoxicity.'
 }
 
@@ -101,21 +105,21 @@ English
 #### Config - `Ade_corpus_v2_drug_ade_relation`
 
 ```
-{ 
-    'drug': 'azithromycin', 
-    'effect': 'ototoxicity', 
+{
+    'drug': 'azithromycin',
+    'effect': 'ototoxicity',
     'indexes': {
                   'drug': {
-                            'end_char': [24], 
+                            'end_char': [24],
                             'start_char': [12]
-                          }, 
+                          },
                   'effect': {
-                            'end_char': [44], 
+                            'end_char': [44],
                             'start_char': [33]
                             }
-                }, 
+                },
     'text': 'Intravenous azithromycin-induced ototoxicity.'
-    
+
 }
 
 ```
@@ -124,17 +128,17 @@ English
 
 ```
 {
-    'dosage': '4 times per day', 
-    'drug': 'insulin', 
+    'dosage': '4 times per day',
+    'drug': 'insulin',
     'indexes': {
                 'dosage': {
-                            'end_char': [56], 
+                            'end_char': [56],
                             'start_char': [41]
-                        }, 
+                        },
                 'drug': {
-                          'end_char': [40], 
+                          'end_char': [40],
                           'start_char': [33]}
-                        }, 
+                        },
     'text': 'She continued to receive regular insulin 4 times per day over the following 3 years with only occasional hives.'
 }
 
@@ -147,7 +151,7 @@ English
 
 - `text` - Input text.
 - `label` - Whether the adverse drug effect(ADE) related (1) or not (0).
-- 
+-
 #### Config - `Ade_corpus_v2_drug_ade_relation`
 
 - `text` - Input text.
@@ -172,7 +176,7 @@ English
 ### Data Splits
 
 | Train  |
-| ------ | 
+| ------ |
 | 23516  |
 
 ## Dataset Creation

datasets/adversarial_qa/README.md

@@ -19,6 +19,11 @@ task_ids:
 - extractive-qa
 - open-domain-qa
 paperswithcode_id: adversarialqa
+pretty_name:
+  adversarialQA: adversarialQA (adversarialQA)
+  dbert: adversarialQA (dbert)
+  dbidaf: adversarialQA (dbidaf)
+  droberta: adversarialQA (droberta)
 ---
 
 # Dataset Card for adversarialQA

datasets/aeslc/README.md

@@ -2,6 +2,7 @@
 languages:
 - en
 paperswithcode_id: aeslc
+pretty_name: '"aeslc"'
 ---
 
 # Dataset Card for "aeslc"
@@ -162,4 +163,4 @@ The data fields are the same among all splits.
 
 ### Contributions
 
-Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun) for adding this dataset.
+Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun) for adding this dataset.

datasets/afrikaans_ner_corpus/README.md

@@ -18,6 +18,7 @@ task_categories:
 task_ids:
 - named-entity-recognition
 paperswithcode_id: null
+pretty_name: Afrikaans Ner Corpus
 ---
 
 # Dataset Card for Afrikaans Ner Corpus
@@ -69,7 +70,7 @@ The language supported is Afrikaans.
 
 ### Data Instances
 
-A data point consists of sentences seperated by empty line and tab-seperated tokens and tags. 
+A data point consists of sentences seperated by empty line and tab-seperated tokens and tags.
 {'id': '0',
  'ner_tags': [0, 0, 0, 0, 0],
  'tokens': ['Vertaling', 'van', 'die', 'inligting', 'in']
@@ -171,4 +172,4 @@ The data is under the [Creative Commons Attribution 2.5 South Africa License](ht
 ```
 ### Contributions
 
-Thanks to [@yvonnegitau](https://github.com/yvonnegitau) for adding this dataset.
+Thanks to [@yvonnegitau](https://github.com/yvonnegitau) for adding this dataset.

datasets/ag_news/README.md

@@ -18,6 +18,7 @@ task_categories:
 task_ids:
 - topic-classification
 paperswithcode_id: ag-news
+pretty_name: '"ag_news"'
 ---
 
 # Dataset Card for "ag_news"
@@ -184,4 +185,4 @@ The data fields are the same among all splits.
 
 ### Contributions
 
-Thanks to [@jxmorris12](https://github.com/jxmorris12), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq), [@lewtun](https://github.com/lewtun) for adding this dataset.
+Thanks to [@jxmorris12](https://github.com/jxmorris12), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq), [@lewtun](https://github.com/lewtun) for adding this dataset.

datasets/ai2_arc/README.md

@@ -19,6 +19,9 @@ task_ids:
 - open-domain-qa
 - multiple-choice-qa
 paperswithcode_id: null
+pretty_name:
+  ARC-Challenge: '"ai2_arc" (ARC-Challenge)'
+  ARC-Easy: '"ai2_arc" (ARC-Easy)'
 ---
 
 # Dataset Card for "ai2_arc"

datasets/air_dialogue/README.md

@@ -21,6 +21,9 @@ task_ids:
 - dialogue-modeling
 - language-modeling
 paperswithcode_id: null
+pretty_name:
+  air_dialogue_data: air_dialogue (air_dialogue_data)
+  air_dialogue_kb: air_dialogue (air_dialogue_kb)
 ---
 
 # Dataset Card for air_dialogue
@@ -55,7 +58,7 @@ paperswithcode_id: null
 - **Repository:** https://github.com/google/airdialogue
 - **Paper:** https://www.aclweb.org/anthology/D18-1419/
 - **Leaderboard:** https://worksheets.codalab.org/worksheets/0xa79833f4b3c24f4188cee7131b120a59
-- **Point of Contact:** [AirDialogue-Google](mailto:[email protected]) 
+- **Point of Contact:** [AirDialogue-Google](mailto:[email protected])
 [Aakash Gupta](mailto:[email protected])
 
 ### Dataset Summary
@@ -199,4 +202,4 @@ cc-by-nc-4.0
 
 ### Contributions
 
-Thanks to [@skyprince999](https://github.com/skyprince999) for adding this dataset.
+Thanks to [@skyprince999](https://github.com/skyprince999) for adding this dataset.

datasets/ajgt_twitter_ar/README.md

@@ -18,6 +18,7 @@ task_categories:
 task_ids:
 - sentiment-classification
 paperswithcode_id: null
+pretty_name: MetRec
 ---
 
 # Dataset Card for MetRec
@@ -59,7 +60,7 @@ Arabic Jordanian General Tweets (AJGT) Corpus consisted of 1,800 tweets annotate
 
 ### Supported Tasks and Leaderboards
 
-The dataset was published on this [paper](https://link.springer.com/chapter/10.1007/978-3-319-60042-0_66). 
+The dataset was published on this [paper](https://link.springer.com/chapter/10.1007/978-3-319-60042-0_66).
 
 ### Languages
 
@@ -69,19 +70,19 @@ The dataset is based on Arabic.
 
 ### Data Instances
 
-A binary datset with with negative and positive sentiments.  
+A binary datset with with negative and positive sentiments.
 
 ### Data Fields
 
 [More Information Needed]
 
 ### Data Splits
 
-The dataset is not split. 
+The dataset is not split.
 
-|           | Tain   | 
-|---------- | ------ | 
-|no split   | 1,800  | 
+|           | Tain   |
+|---------- | ------ |
+|no split   | 1,800  |
 
 ## Dataset Creation
 
@@ -95,11 +96,11 @@ The dataset is not split.
 
 #### Initial Data Collection and Normalization
 
-Contains 1,800 tweets collected from twitter. 
+Contains 1,800 tweets collected from twitter.
 
 #### Who are the source language producers?
 
-From tweeter.  
+From tweeter.
 
 ### Annotations
 
@@ -143,4 +144,4 @@ The dataset does not contain any additional annotations.
 
 ### Contributions
 
-Thanks to [@zaidalyafeai](https://github.com/zaidalyafeai), [@lhoestq](https://github.com/lhoestq) for adding this dataset.
+Thanks to [@zaidalyafeai](https://github.com/zaidalyafeai), [@lhoestq](https://github.com/lhoestq) for adding this dataset.

datasets/allegro_reviews/README.md

@@ -18,9 +18,10 @@ task_categories:
 task_ids:
 - sentiment-scoring
 paperswithcode_id: allegro-reviews
+pretty_name: Allegro Reviews
 ---
 
-# Dataset Card for [Dataset Name]
+# Dataset Card for Allegro Reviews
 
 ## Table of Contents
 - [Dataset Description](#dataset-description)
@@ -78,7 +79,7 @@ Polish
 
 ### Data Instances
 
-Two tsv files (train, dev) with two columns (text, rating) and one (test) with just one (text). 
+Two tsv files (train, dev) with two columns (text, rating) and one (test) with just one (text).
 
 ### Data Fields
 
@@ -159,4 +160,4 @@ Dataset licensed under CC BY-SA 4.0
 
 ### Contributions
 
-Thanks to [@abecadel](https://github.com/abecadel) for adding this dataset.
+Thanks to [@abecadel](https://github.com/abecadel) for adding this dataset.