Replace YAML keys from int to str (#4)

- Replace YAML keys from int to str (6ab02f925f2c272ff42334118866735063939782)

README.md

@@ -33,7 +33,6 @@ license:
 - cc-by-nc-4.0
 - cc-by-sa-4.0
 - other
-license_details: Licence Universal Dependencies v2.5
 multilinguality:
 - multilingual
 - translation
@@ -60,7 +59,6 @@ task_ids:
 - open-domain-qa
 - parsing
 - topic-classification
-paperswithcode_id: null
 pretty_name: XGLUE
 configs:
 - mlqa
@@ -74,6 +72,7 @@ configs:
 - qg
 - wpr
 - xnli
+license_details: Licence Universal Dependencies v2.5
 tags:
 - paraphrase-identification
 - question-answering
@@ -86,15 +85,15 @@ dataset_info:
     sequence:
       class_label:
         names:
-          0: O
-          1: B-PER
-          2: I-PER
-          3: B-ORG
-          4: I-ORG
-          5: B-LOC
-          6: I-LOC
-          7: B-MISC
-          8: I-MISC
+          '0': O
+          '1': B-PER
+          '2': I-PER
+          '3': B-ORG
+          '4': I-ORG
+          '5': B-LOC
+          '6': I-LOC
+          '7': B-MISC
+          '8': I-MISC
   splits:
   - name: train
     num_bytes: 3445854
@@ -133,23 +132,23 @@ dataset_info:
     sequence:
       class_label:
         names:
-          0: ADJ
-          1: ADP
-          2: ADV
-          3: AUX
-          4: CCONJ
-          5: DET
-          6: INTJ
-          7: NOUN
-          8: NUM
-          9: PART
-          10: PRON
-          11: PROPN
-          12: PUNCT
-          13: SCONJ
-          14: SYM
-          15: VERB
-          16: X
+          '0': ADJ
+          '1': ADP
+          '2': ADV
+          '3': AUX
+          '4': CCONJ
+          '5': DET
+          '6': INTJ
+          '7': NOUN
+          '8': NUM
+          '9': PART
+          '10': PRON
+          '11': PROPN
+          '12': PUNCT
+          '13': SCONJ
+          '14': SYM
+          '15': VERB
+          '16': X
   splits:
   - name: train
     num_bytes: 7279459
@@ -328,16 +327,16 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: foodanddrink
-          1: sports
-          2: travel
-          3: finance
-          4: lifestyle
-          5: news
-          6: entertainment
-          7: health
-          8: video
-          9: autos
+          '0': foodanddrink
+          '1': sports
+          '2': travel
+          '3': finance
+          '4': lifestyle
+          '5': news
+          '6': entertainment
+          '7': health
+          '8': video
+          '9': autos
   splits:
   - name: train
     num_bytes: 280615806
@@ -384,9 +383,9 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: entailment
-          1: neutral
-          2: contradiction
+          '0': entailment
+          '1': neutral
+          '2': contradiction
   splits:
   - name: train
     num_bytes: 74444346
@@ -493,8 +492,8 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: different
-          1: same
+          '0': different
+          '1': same
   splits:
   - name: train
     num_bytes: 12018349
@@ -537,8 +536,8 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: Bad
-          1: Good
+          '0': Bad
+          '1': Good
   splits:
   - name: train
     num_bytes: 12528141
@@ -575,11 +574,11 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: Bad
-          1: Fair
-          2: Good
-          3: Excellent
-          4: Perfect
+          '0': Bad
+          '1': Fair
+          '2': Good
+          '3': Excellent
+          '4': Perfect
   splits:
   - name: train
     num_bytes: 33885931
@@ -638,8 +637,8 @@ dataset_info:
     dtype:
       class_label:
         names:
-          0: 'False'
-          1: 'True'
+          '0': 'False'
+          '1': 'True'
   splits:
   - name: train
     num_bytes: 28357964