Reorder split names

README.md

@@ -283,12 +283,12 @@ dataset_info:
           18: 📸
           19: 😜
   splits:
-  - name: test
-    num_bytes: 4255921
-    num_examples: 50000
   - name: train
     num_bytes: 3803187
     num_examples: 45000
+  - name: test
+    num_bytes: 4255921
+    num_examples: 50000
   - name: validation
     num_bytes: 396083
     num_examples: 5000
@@ -307,12 +307,12 @@ dataset_info:
           2: optimism
           3: sadness
   splits:
-  - name: test
-    num_bytes: 146649
-    num_examples: 1421
   - name: train
     num_bytes: 338875
     num_examples: 3257
+  - name: test
+    num_bytes: 146649
+    num_examples: 1421
   - name: validation
     num_bytes: 38277
     num_examples: 374
@@ -329,12 +329,12 @@ dataset_info:
           0: non-hate
           1: hate
   splits:
-  - name: test
-    num_bytes: 428938
-    num_examples: 2970
   - name: train
     num_bytes: 1223654
     num_examples: 9000
+  - name: test
+    num_bytes: 428938
+    num_examples: 2970
   - name: validation
     num_bytes: 154148
     num_examples: 1000
@@ -351,12 +351,12 @@ dataset_info:
           0: non_irony
           1: irony
   splits:
-  - name: test
-    num_bytes: 75901
-    num_examples: 784
   - name: train
     num_bytes: 259191
     num_examples: 2862
+  - name: test
+    num_bytes: 75901
+    num_examples: 784
   - name: validation
     num_bytes: 86021
     num_examples: 955
@@ -373,12 +373,12 @@ dataset_info:
           0: non-offensive
           1: offensive
   splits:
-  - name: test
-    num_bytes: 135477
-    num_examples: 860
   - name: train
     num_bytes: 1648069
     num_examples: 11916
+  - name: test
+    num_bytes: 135477
+    num_examples: 860
   - name: validation
     num_bytes: 192421
     num_examples: 1324
@@ -396,12 +396,12 @@ dataset_info:
           1: neutral
           2: positive
   splits:
-  - name: test
-    num_bytes: 1279548
-    num_examples: 12284
   - name: train
     num_bytes: 5425142
     num_examples: 45615
+  - name: test
+    num_bytes: 1279548
+    num_examples: 12284
   - name: validation
     num_bytes: 239088
     num_examples: 2000
@@ -419,12 +419,12 @@ dataset_info:
           1: against
           2: favor
   splits:
-  - name: test
-    num_bytes: 33175
-    num_examples: 280
   - name: train
     num_bytes: 68698
     num_examples: 587
+  - name: test
+    num_bytes: 33175
+    num_examples: 280
   - name: validation
     num_bytes: 7661
     num_examples: 66
@@ -442,12 +442,12 @@ dataset_info:
           1: against
           2: favor
   splits:
-  - name: test
-    num_bytes: 25720
-    num_examples: 220
   - name: train
     num_bytes: 54779
     num_examples: 461
+  - name: test
+    num_bytes: 25720
+    num_examples: 220
   - name: validation
     num_bytes: 6324
     num_examples: 52
@@ -465,12 +465,12 @@ dataset_info:
           1: against
           2: favor
   splits:
-  - name: test
-    num_bytes: 19929
-    num_examples: 169
   - name: train
     num_bytes: 40253
     num_examples: 355
+  - name: test
+    num_bytes: 19929
+    num_examples: 169
   - name: validation
     num_bytes: 4805
     num_examples: 40
@@ -488,12 +488,12 @@ dataset_info:
           1: against
           2: favor
   splits:
-  - name: test
-    num_bytes: 33309
-    num_examples: 285
   - name: train
     num_bytes: 70513
     num_examples: 597
+  - name: test
+    num_bytes: 33309
+    num_examples: 285
   - name: validation
     num_bytes: 8039
     num_examples: 67
@@ -511,12 +511,12 @@ dataset_info:
           1: against
           2: favor
   splits:
-  - name: test
-    num_bytes: 34491
-    num_examples: 295
   - name: train
     num_bytes: 69600
     num_examples: 620
+  - name: test
+    num_bytes: 34491
+    num_examples: 295
   - name: validation
     num_bytes: 7536
     num_examples: 69