Replace YAML keys from int to str

Replace YAML metadata integer keys with strings, as the Hub does not support integers.
See: https://github.com/huggingface/datasets/issues/5275

README.md

@@ -23,115 +23,6 @@ task_ids:
 - text-scoring
 paperswithcode_id: glue
 pretty_name: GLUE (General Language Understanding Evaluation benchmark)
-train-eval-index:
-- config: cola
-  task: text-classification
-  task_id: binary_classification
-  splits:
-    train_split: train
-    eval_split: validation
-  col_mapping:
-    sentence: text
-    label: target
-- config: sst2
-  task: text-classification
-  task_id: binary_classification
-  splits:
-    train_split: train
-    eval_split: validation
-  col_mapping:
-    sentence: text
-    label: target
-- config: mrpc
-  task: text-classification
-  task_id: natural_language_inference
-  splits:
-    train_split: train
-    eval_split: validation
-  col_mapping:
-    sentence1: text1
-    sentence2: text2
-    label: target
-- config: qqp
-  task: text-classification
-  task_id: natural_language_inference
-  splits:
-    train_split: train
-    eval_split: validation
-  col_mapping:
-    question1: text1
-    question2: text2
-    label: target
-- config: stsb
-  task: text-classification
-  task_id: natural_language_inference
-  splits:
-    train_split: train
-    eval_split: validation
-  col_mapping:
-    sentence1: text1
-    sentence2: text2
-    label: target
-- config: mnli
-  task: text-classification
-  task_id: natural_language_inference
-  splits:
-    train_split: train
-    eval_split: validation_matched
-  col_mapping:
-    premise: text1
-    hypothesis: text2
-    label: target
-- config: mnli_mismatched
-  task: text-classification
-  task_id: natural_language_inference
-  splits:
-    train_split: train
-    eval_split: validation
-  col_mapping:
-    premise: text1
-    hypothesis: text2
-    label: target
-- config: mnli_matched
-  task: text-classification
-  task_id: natural_language_inference
-  splits:
-    train_split: train
-    eval_split: validation
-  col_mapping:
-    premise: text1
-    hypothesis: text2
-    label: target
-- config: qnli
-  task: text-classification
-  task_id: natural_language_inference
-  splits:
-    train_split: train
-    eval_split: validation
-  col_mapping:
-    question: text1
-    sentence: text2
-    label: target
-- config: rte
-  task: text-classification
-  task_id: natural_language_inference
-  splits:
-    train_split: train
-    eval_split: validation
-  col_mapping:
-    sentence1: text1
-    sentence2: text2
-    label: target
-- config: wnli
-  task: text-classification
-  task_id: natural_language_inference
-  splits:
-    train_split: train
-    eval_split: validation
-  col_mapping:
-    sentence1: text1
-    sentence2: text2
-    label: target
 configs:
 - ax
 - cola
@@ -158,8 +49,8 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: unacceptable
-          1: acceptable
+          '0': unacceptable
+          '1': acceptable
   - name: idx
     dtype: int32
   splits:
@@ -182,8 +73,8 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: negative
-          1: positive
+          '0': negative
+          '1': positive
   - name: idx
     dtype: int32
   splits:
@@ -208,8 +99,8 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: not_equivalent
-          1: equivalent
+          '0': not_equivalent
+          '1': equivalent
   - name: idx
     dtype: int32
   splits:
@@ -234,8 +125,8 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: not_duplicate
-          1: duplicate
+          '0': not_duplicate
+          '1': duplicate
   - name: idx
     dtype: int32
   splits:
@@ -282,9 +173,9 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: entailment
-          1: neutral
-          2: contradiction
+          '0': entailment
+          '1': neutral
+          '2': contradiction
   - name: idx
     dtype: int32
   splits:
@@ -315,9 +206,9 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: entailment
-          1: neutral
-          2: contradiction
+          '0': entailment
+          '1': neutral
+          '2': contradiction
   - name: idx
     dtype: int32
   splits:
@@ -339,9 +230,9 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: entailment
-          1: neutral
-          2: contradiction
+          '0': entailment
+          '1': neutral
+          '2': contradiction
   - name: idx
     dtype: int32
   splits:
@@ -363,8 +254,8 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: entailment
-          1: not_entailment
+          '0': entailment
+          '1': not_entailment
   - name: idx
     dtype: int32
   splits:
@@ -389,8 +280,8 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: entailment
-          1: not_entailment
+          '0': entailment
+          '1': not_entailment
   - name: idx
     dtype: int32
   splits:
@@ -415,8 +306,8 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: not_entailment
-          1: entailment
+          '0': not_entailment
+          '1': entailment
   - name: idx
     dtype: int32
   splits:
@@ -441,9 +332,9 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: entailment
-          1: neutral
-          2: contradiction
+          '0': entailment
+          '1': neutral
+          '2': contradiction
   - name: idx
     dtype: int32
   splits:
@@ -452,6 +343,115 @@ dataset_info:
     num_examples: 1104
   download_size: 222257
   dataset_size: 238392
+train-eval-index:
+- config: cola
+  task: text-classification
+  task_id: binary_classification
+  splits:
+    train_split: train
+    eval_split: validation
+  col_mapping:
+    sentence: text
+    label: target
+- config: sst2
+  task: text-classification
+  task_id: binary_classification
+  splits:
+    train_split: train
+    eval_split: validation
+  col_mapping:
+    sentence: text
+    label: target
+- config: mrpc
+  task: text-classification
+  task_id: natural_language_inference
+  splits:
+    train_split: train
+    eval_split: validation
+  col_mapping:
+    sentence1: text1
+    sentence2: text2
+    label: target
+- config: qqp
+  task: text-classification
+  task_id: natural_language_inference
+  splits:
+    train_split: train
+    eval_split: validation
+  col_mapping:
+    question1: text1
+    question2: text2
+    label: target
+- config: stsb
+  task: text-classification
+  task_id: natural_language_inference
+  splits:
+    train_split: train
+    eval_split: validation
+  col_mapping:
+    sentence1: text1
+    sentence2: text2
+    label: target
+- config: mnli
+  task: text-classification
+  task_id: natural_language_inference
+  splits:
+    train_split: train
+    eval_split: validation_matched
+  col_mapping:
+    premise: text1
+    hypothesis: text2
+    label: target
+- config: mnli_mismatched
+  task: text-classification
+  task_id: natural_language_inference
+  splits:
+    train_split: train
+    eval_split: validation
+  col_mapping:
+    premise: text1
+    hypothesis: text2
+    label: target
+- config: mnli_matched
+  task: text-classification
+  task_id: natural_language_inference
+  splits:
+    train_split: train
+    eval_split: validation
+  col_mapping:
+    premise: text1
+    hypothesis: text2
+    label: target
+- config: qnli
+  task: text-classification
+  task_id: natural_language_inference
+  splits:
+    train_split: train
+    eval_split: validation
+  col_mapping:
+    question: text1
+    sentence: text2
+    label: target
+- config: rte
+  task: text-classification
+  task_id: natural_language_inference
+  splits:
+    train_split: train
+    eval_split: validation
+  col_mapping:
+    sentence1: text1
+    sentence2: text2
+    label: target
+- config: wnli
+  task: text-classification
+  task_id: natural_language_inference
+  splits:
+    train_split: train
+    eval_split: validation
+  col_mapping:
+    sentence1: text1
+    sentence2: text2
+    label: target
 ---
 
 # Dataset Card for GLUE