Fix task tags

README.md

@@ -10,12 +10,25 @@ multilinguality:
 source_datasets:
 - other-generated-datasets
 task_categories:
-- text
-- linear-regression
+- tabular-regression
 task_ids:
 - intent-classification
 - multi-class-classification
 - sentiment-classification
+configs:
+- emoji
+- emotion
+- hate
+- irony
+- offensive
+- sentiment
+- stance_abortion
+- stance_atheism
+- stance_climate
+- stance_feminist
+- stance_hillary
+tags:
+- linear-regression
 train-eval-index:
 - config: emotion
   task: text-classification
@@ -27,44 +40,44 @@ train-eval-index:
     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
+  - 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
 - config: hate
   task: text-classification
   task_id: binary_classification
@@ -75,36 +88,36 @@ train-eval-index:
     text: text
     label: target
   metrics:
-    - type: accuracy
-      name: Accuracy
-    - type: f1
-      name: F1 binary
-      args:
-        average: binary
-    - 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
+  - type: accuracy
+    name: Accuracy
+  - type: f1
+    name: F1 binary
+    args:
+      average: binary
+  - 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
 - config: irony
   task: text-classification
   task_id: binary_classification
@@ -115,36 +128,36 @@ train-eval-index:
     text: text
     label: target
   metrics:
-    - type: accuracy
-      name: Accuracy
-    - type: f1
-      name: F1 binary
-      args:
-        average: binary
-    - 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
+  - type: accuracy
+    name: Accuracy
+  - type: f1
+    name: F1 binary
+    args:
+      average: binary
+  - 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
 - config: offensive
   task: text-classification
   task_id: binary_classification
@@ -155,36 +168,36 @@ train-eval-index:
     text: text
     label: target
   metrics:
-    - type: accuracy
-      name: Accuracy
-    - type: f1
-      name: F1 binary
-      args:
-        average: binary
-    - 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
+  - type: accuracy
+    name: Accuracy
+  - type: f1
+    name: F1 binary
+    args:
+      average: binary
+  - 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
 - config: sentiment
   task: text-classification
   task_id: multi_class_classification
@@ -195,56 +208,44 @@ train-eval-index:
     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
-configs:
-- emoji
-- emotion
-- hate
-- irony
-- offensive
-- sentiment
-- stance_abortion
-- stance_atheism
-- stance_climate
-- stance_feminist
-- stance_hillary
+  - 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 tweet_eval
 ## Table of Contents