Replace YAML keys from int to str (#3)

- Replace YAML keys from int to str (2f39d5f762ed745d13a97d3afab1a86000f5cbf2)

README.md

@@ -24,223 +24,6 @@ task_ids:
 - sentiment-classification
 paperswithcode_id: tweeteval
 pretty_name: TweetEval
-train-eval-index:
-- config: emotion
-  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
-- config: hate
-  task: text-classification
-  task_id: binary_classification
-  splits:
-    train_split: train
-    eval_split: test
-  col_mapping:
-    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
-- config: irony
-  task: text-classification
-  task_id: binary_classification
-  splits:
-    train_split: train
-    eval_split: test
-  col_mapping:
-    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
-- config: offensive
-  task: text-classification
-  task_id: binary_classification
-  splits:
-    train_split: train
-    eval_split: test
-  col_mapping:
-    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
-- config: sentiment
-  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
 configs:
 - emoji
 - emotion
@@ -262,26 +45,26 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: ❤
-          1: 😍
-          2: 😂
-          3: 💕
-          4: 🔥
-          5: 😊
-          6: 😎
-          7: ✨
-          8: 💙
-          9: 😘
-          10: 📷
-          11: 🇺🇸
-          12: ☀
-          13: 💜
-          14: 😉
-          15: 💯
-          16: 😁
-          17: 🎄
-          18: 📸
-          19: 😜
+          '0': ❤
+          '1': 😍
+          '2': 😂
+          '3': 💕
+          '4': 🔥
+          '5': 😊
+          '6': 😎
+          '7': ✨
+          '8': 💙
+          '9': 😘
+          '10': 📷
+          '11': 🇺🇸
+          '12': ☀
+          '13': 💜
+          '14': 😉
+          '15': 💯
+          '16': 😁
+          '17': 🎄
+          '18': 📸
+          '19': 😜
   splits:
   - name: train
     num_bytes: 3803187
@@ -302,10 +85,10 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: anger
-          1: joy
-          2: optimism
-          3: sadness
+          '0': anger
+          '1': joy
+          '2': optimism
+          '3': sadness
   splits:
   - name: train
     num_bytes: 338875
@@ -326,8 +109,8 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: non-hate
-          1: hate
+          '0': non-hate
+          '1': hate
   splits:
   - name: train
     num_bytes: 1223654
@@ -348,8 +131,8 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: non_irony
-          1: irony
+          '0': non_irony
+          '1': irony
   splits:
   - name: train
     num_bytes: 259191
@@ -370,8 +153,8 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: non-offensive
-          1: offensive
+          '0': non-offensive
+          '1': offensive
   splits:
   - name: train
     num_bytes: 1648069
@@ -392,9 +175,9 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: negative
-          1: neutral
-          2: positive
+          '0': negative
+          '1': neutral
+          '2': positive
   splits:
   - name: train
     num_bytes: 5425142
@@ -415,9 +198,9 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: none
-          1: against
-          2: favor
+          '0': none
+          '1': against
+          '2': favor
   splits:
   - name: train
     num_bytes: 68698
@@ -438,9 +221,9 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: none
-          1: against
-          2: favor
+          '0': none
+          '1': against
+          '2': favor
   splits:
   - name: train
     num_bytes: 54779
@@ -461,9 +244,9 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: none
-          1: against
-          2: favor
+          '0': none
+          '1': against
+          '2': favor
   splits:
   - name: train
     num_bytes: 40253
@@ -484,9 +267,9 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: none
-          1: against
-          2: favor
+          '0': none
+          '1': against
+          '2': favor
   splits:
   - name: train
     num_bytes: 70513
@@ -507,9 +290,9 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: none
-          1: against
-          2: favor
+          '0': none
+          '1': against
+          '2': favor
   splits:
   - name: train
     num_bytes: 69600
@@ -522,6 +305,223 @@ dataset_info:
     num_examples: 69
   download_size: 103745
   dataset_size: 111627
+train-eval-index:
+- config: emotion
+  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
+- config: hate
+  task: text-classification
+  task_id: binary_classification
+  splits:
+    train_split: train
+    eval_split: test
+  col_mapping:
+    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
+- config: irony
+  task: text-classification
+  task_id: binary_classification
+  splits:
+    train_split: train
+    eval_split: test
+  col_mapping:
+    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
+- config: offensive
+  task: text-classification
+  task_id: binary_classification
+  splits:
+    train_split: train
+    eval_split: test
+  col_mapping:
+    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
+- config: sentiment
+  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 tweet_eval