Eval metadata Batch 4: Tweet Eval, Tweets Hate Speech Detection, VCTK, Weibo NER, Wisesight Sentiment, XSum, Yahoo Answers Topics, Yelp Polarity, Yelp Review Full (#4338)

* Eval metadata for Tweet Eval, Tweets Hate Speech Detection, VCTK, Weibo NER, Wisesight Sentiment, XSum, Yahoo Answers Topics, Yelp Polarity, Yelp Review Full

* Update README.md

oops, duplicate

* Update README.md

adding header

* Update README.md

adding header

* Update datasets/xsum/README.md

Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

* Update README.md

removing ROUGE args

* Update README.md

removing F1 params

* Update README.md

* Update README.md

updating to binary F1

* Update README.md

oops typo

* Update README.md

F1 binary

Co-authored-by: sashavor <sasha.luccioni@huggingface.co>
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>

Commit from https://github.com/huggingface/datasets/commit/bce8e6541af98cb0e06b24f9c96a6431cf813a38

README.md

@@ -19,6 +19,56 @@ task_ids:
 - sentiment-classification
 paperswithcode_id: null
 pretty_name: YelpReviewFull
+train-eval-index:
+- config: yelp_review_full
+  task: text-classification
+  task_id: multi_class_classification
+  splits:
+    train_split: train
+    eval_split: test
+  col_mapping:
+    text: text
+    label: target
+  metrics:
+    - type: accuracy
+      name: Accuracy
+    - type: f1
+      name: F1 macro
+      args:
+        average: macro
+    - type: f1
+      name: F1 micro
+      args:
+        average: micro
+    - type: f1
+      name: F1 weighted
+      args:
+        average: weighted
+    - type: precision
+      name: Precision macro
+      args:
+        average: macro
+    - type: precision
+      name: Precision micro
+      args:
+        average: micro
+    - type: precision
+      name: Precision weighted
+      args:
+        average: weighted
+    - type: recall
+      name: Recall macro
+      args:
+        average: macro
+    - type: recall
+      name: Recall micro
+      args:
+        average: micro
+    - type: recall
+      name: Recall weighted
+      args:
+        average: weighted
+---
 ---
 
 # Dataset Card for YelpReviewFull
@@ -61,7 +111,7 @@ It is extracted from the Yelp Dataset Challenge 2015 data.
 
 ### Supported Tasks and Leaderboards
 
-- `text-classification`, `sentiment-classification`: The dataset is mainly used for text classification: given the text, predict the sentiment. 
+- `text-classification`, `sentiment-classification`: The dataset is mainly used for text classification: given the text, predict the sentiment.
 
 ### Languages