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

@@ -11,8 +11,6 @@ license:
 - cc-by-nc-nd-4.0
 multilinguality:
 - multilingual
-paperswithcode_id: ontonotes-5-0
-pretty_name: CoNLL2012 shared task data based on OntoNotes 5.0
 size_categories:
 - 10K<n<100K
 source_datasets:
@@ -26,6 +24,8 @@ task_ids:
 - parsing
 - lemmatization
 - word-sense-disambiguation
+paperswithcode_id: ontonotes-5-0
+pretty_name: CoNLL2012 shared task data based on OntoNotes 5.0
 tags:
 - semantic-role-labeling
 dataset_info:
@@ -43,55 +43,55 @@ dataset_info:
       sequence:
         class_label:
           names:
-            0: XX
-            1: '``'
-            2: $
-            3: ''''''
-            4: ','
-            5: -LRB-
-            6: -RRB-
-            7: .
-            8: ':'
-            9: ADD
-            10: AFX
-            11: CC
-            12: CD
-            13: DT
-            14: EX
-            15: FW
-            16: HYPH
-            17: IN
-            18: JJ
-            19: JJR
-            20: JJS
-            21: LS
-            22: MD
-            23: NFP
-            24: NN
-            25: NNP
-            26: NNPS
-            27: NNS
-            28: PDT
-            29: POS
-            30: PRP
-            31: PRP$
-            32: RB
-            33: RBR
-            34: RBS
-            35: RP
-            36: SYM
-            37: TO
-            38: UH
-            39: VB
-            40: VBD
-            41: VBG
-            42: VBN
-            43: VBP
-            44: VBZ
-            45: WDT
-            46: WP
-            47: WP$
-            48: WRB
+            '0': XX
+            '1': '``'
+            '2': $
+            '3': ''''''
+            '4': ','
+            '5': -LRB-
+            '6': -RRB-
+            '7': .
+            '8': ':'
+            '9': ADD
+            '10': AFX
+            '11': CC
+            '12': CD
+            '13': DT
+            '14': EX
+            '15': FW
+            '16': HYPH
+            '17': IN
+            '18': JJ
+            '19': JJR
+            '20': JJS
+            '21': LS
+            '22': MD
+            '23': NFP
+            '24': NN
+            '25': NNP
+            '26': NNPS
+            '27': NNS
+            '28': PDT
+            '29': POS
+            '30': PRP
+            '31': PRP$
+            '32': RB
+            '33': RBR
+            '34': RBS
+            '35': RP
+            '36': SYM
+            '37': TO
+            '38': UH
+            '39': VB
+            '40': VBD
+            '41': VBG
+            '42': VBN
+            '43': VBP
+            '44': VBZ
+            '45': WDT
+            '46': WP
+            '47': WP$
+            '48': WRB
     - name: parse_tree
       dtype: string
     - name: predicate_lemmas
@@ -106,43 +106,43 @@ dataset_info:
       sequence:
         class_label:
           names:
-            0: O
-            1: B-PERSON
-            2: I-PERSON
-            3: B-NORP
-            4: I-NORP
-            5: B-FAC
-            6: I-FAC
-            7: B-ORG
-            8: I-ORG
-            9: B-GPE
-            10: I-GPE
-            11: B-LOC
-            12: I-LOC
-            13: B-PRODUCT
-            14: I-PRODUCT
-            15: B-DATE
-            16: I-DATE
-            17: B-TIME
-            18: I-TIME
-            19: B-PERCENT
-            20: I-PERCENT
-            21: B-MONEY
-            22: I-MONEY
-            23: B-QUANTITY
-            24: I-QUANTITY
-            25: B-ORDINAL
-            26: I-ORDINAL
-            27: B-CARDINAL
-            28: I-CARDINAL
-            29: B-EVENT
-            30: I-EVENT
-            31: B-WORK_OF_ART
-            32: I-WORK_OF_ART
-            33: B-LAW
-            34: I-LAW
-            35: B-LANGUAGE
-            36: I-LANGUAGE
+            '0': O
+            '1': B-PERSON
+            '2': I-PERSON
+            '3': B-NORP
+            '4': I-NORP
+            '5': B-FAC
+            '6': I-FAC
+            '7': B-ORG
+            '8': I-ORG
+            '9': B-GPE
+            '10': I-GPE
+            '11': B-LOC
+            '12': I-LOC
+            '13': B-PRODUCT
+            '14': I-PRODUCT
+            '15': B-DATE
+            '16': I-DATE
+            '17': B-TIME
+            '18': I-TIME
+            '19': B-PERCENT
+            '20': I-PERCENT
+            '21': B-MONEY
+            '22': I-MONEY
+            '23': B-QUANTITY
+            '24': I-QUANTITY
+            '25': B-ORDINAL
+            '26': I-ORDINAL
+            '27': B-CARDINAL
+            '28': I-CARDINAL
+            '29': B-EVENT
+            '30': I-EVENT
+            '31': B-WORK_OF_ART
+            '32': I-WORK_OF_ART
+            '33': B-LAW
+            '34': I-LAW
+            '35': B-LANGUAGE
+            '36': I-LANGUAGE
     - name: srl_frames
       list:
       - name: verb
@@ -179,42 +179,42 @@ dataset_info:
       sequence:
         class_label:
           names:
-            0: X
-            1: AD
-            2: AS
-            3: BA
-            4: CC
-            5: CD
-            6: CS
-            7: DEC
-            8: DEG
-            9: DER
-            10: DEV
-            11: DT
-            12: ETC
-            13: FW
-            14: IJ
-            15: INF
-            16: JJ
-            17: LB
-            18: LC
-            19: M
-            20: MSP
-            21: NN
-            22: NR
-            23: NT
-            24: OD
-            25: 'ON'
-            26: P
-            27: PN
-            28: PU
-            29: SB
-            30: SP
-            31: URL
-            32: VA
-            33: VC
-            34: VE
-            35: VV
+            '0': X
+            '1': AD
+            '2': AS
+            '3': BA
+            '4': CC
+            '5': CD
+            '6': CS
+            '7': DEC
+            '8': DEG
+            '9': DER
+            '10': DEV
+            '11': DT
+            '12': ETC
+            '13': FW
+            '14': IJ
+            '15': INF
+            '16': JJ
+            '17': LB
+            '18': LC
+            '19': M
+            '20': MSP
+            '21': NN
+            '22': NR
+            '23': NT
+            '24': OD
+            '25': 'ON'
+            '26': P
+            '27': PN
+            '28': PU
+            '29': SB
+            '30': SP
+            '31': URL
+            '32': VA
+            '33': VC
+            '34': VE
+            '35': VV
     - name: parse_tree
       dtype: string
     - name: predicate_lemmas
@@ -229,43 +229,43 @@ dataset_info:
       sequence:
         class_label:
           names:
-            0: O
-            1: B-PERSON
-            2: I-PERSON
-            3: B-NORP
-            4: I-NORP
-            5: B-FAC
-            6: I-FAC
-            7: B-ORG
-            8: I-ORG
-            9: B-GPE
-            10: I-GPE
-            11: B-LOC
-            12: I-LOC
-            13: B-PRODUCT
-            14: I-PRODUCT
-            15: B-DATE
-            16: I-DATE
-            17: B-TIME
-            18: I-TIME
-            19: B-PERCENT
-            20: I-PERCENT
-            21: B-MONEY
-            22: I-MONEY
-            23: B-QUANTITY
-            24: I-QUANTITY
-            25: B-ORDINAL
-            26: I-ORDINAL
-            27: B-CARDINAL
-            28: I-CARDINAL
-            29: B-EVENT
-            30: I-EVENT
-            31: B-WORK_OF_ART
-            32: I-WORK_OF_ART
-            33: B-LAW
-            34: I-LAW
-            35: B-LANGUAGE
-            36: I-LANGUAGE
+            '0': O
+            '1': B-PERSON
+            '2': I-PERSON
+            '3': B-NORP
+            '4': I-NORP
+            '5': B-FAC
+            '6': I-FAC
+            '7': B-ORG
+            '8': I-ORG
+            '9': B-GPE
+            '10': I-GPE
+            '11': B-LOC
+            '12': I-LOC
+            '13': B-PRODUCT
+            '14': I-PRODUCT
+            '15': B-DATE
+            '16': I-DATE
+            '17': B-TIME
+            '18': I-TIME
+            '19': B-PERCENT
+            '20': I-PERCENT
+            '21': B-MONEY
+            '22': I-MONEY
+            '23': B-QUANTITY
+            '24': I-QUANTITY
+            '25': B-ORDINAL
+            '26': I-ORDINAL
+            '27': B-CARDINAL
+            '28': I-CARDINAL
+            '29': B-EVENT
+            '30': I-EVENT
+            '31': B-WORK_OF_ART
+            '32': I-WORK_OF_ART
+            '33': B-LAW
+            '34': I-LAW
+            '35': B-LANGUAGE
+            '36': I-LANGUAGE
     - name: srl_frames
       list:
       - name: verb
@@ -314,43 +314,43 @@ dataset_info:
       sequence:
         class_label:
           names:
-            0: O
-            1: B-PERSON
-            2: I-PERSON
-            3: B-NORP
-            4: I-NORP
-            5: B-FAC
-            6: I-FAC
-            7: B-ORG
-            8: I-ORG
-            9: B-GPE
-            10: I-GPE
-            11: B-LOC
-            12: I-LOC
-            13: B-PRODUCT
-            14: I-PRODUCT
-            15: B-DATE
-            16: I-DATE
-            17: B-TIME
-            18: I-TIME
-            19: B-PERCENT
-            20: I-PERCENT
-            21: B-MONEY
-            22: I-MONEY
-            23: B-QUANTITY
-            24: I-QUANTITY
-            25: B-ORDINAL
-            26: I-ORDINAL
-            27: B-CARDINAL
-            28: I-CARDINAL
-            29: B-EVENT
-            30: I-EVENT
-            31: B-WORK_OF_ART
-            32: I-WORK_OF_ART
-            33: B-LAW
-            34: I-LAW
-            35: B-LANGUAGE
-            36: I-LANGUAGE
+            '0': O
+            '1': B-PERSON
+            '2': I-PERSON
+            '3': B-NORP
+            '4': I-NORP
+            '5': B-FAC
+            '6': I-FAC
+            '7': B-ORG
+            '8': I-ORG
+            '9': B-GPE
+            '10': I-GPE
+            '11': B-LOC
+            '12': I-LOC
+            '13': B-PRODUCT
+            '14': I-PRODUCT
+            '15': B-DATE
+            '16': I-DATE
+            '17': B-TIME
+            '18': I-TIME
+            '19': B-PERCENT
+            '20': I-PERCENT
+            '21': B-MONEY
+            '22': I-MONEY
+            '23': B-QUANTITY
+            '24': I-QUANTITY
+            '25': B-ORDINAL
+            '26': I-ORDINAL
+            '27': B-CARDINAL
+            '28': I-CARDINAL
+            '29': B-EVENT
+            '30': I-EVENT
+            '31': B-WORK_OF_ART
+            '32': I-WORK_OF_ART
+            '33': B-LAW
+            '34': I-LAW
+            '35': B-LANGUAGE
+            '36': I-LANGUAGE
     - name: srl_frames
       list:
       - name: verb
@@ -387,57 +387,57 @@ dataset_info:
       sequence:
         class_label:
           names:
-            0: XX
-            1: '``'
-            2: $
-            3: ''''''
-            4: '*'
-            5: ','
-            6: -LRB-
-            7: -RRB-
-            8: .
-            9: ':'
-            10: ADD
-            11: AFX
-            12: CC
-            13: CD
-            14: DT
-            15: EX
-            16: FW
-            17: HYPH
-            18: IN
-            19: JJ
-            20: JJR
-            21: JJS
-            22: LS
-            23: MD
-            24: NFP
-            25: NN
-            26: NNP
-            27: NNPS
-            28: NNS
-            29: PDT
-            30: POS
-            31: PRP
-            32: PRP$
-            33: RB
-            34: RBR
-            35: RBS
-            36: RP
-            37: SYM
-            38: TO
-            39: UH
-            40: VB
-            41: VBD
-            42: VBG
-            43: VBN
-            44: VBP
-            45: VBZ
-            46: VERB
-            47: WDT
-            48: WP
-            49: WP$
-            50: WRB
+            '0': XX
+            '1': '``'
+            '2': $
+            '3': ''''''
+            '4': '*'
+            '5': ','
+            '6': -LRB-
+            '7': -RRB-
+            '8': .
+            '9': ':'
+            '10': ADD
+            '11': AFX
+            '12': CC
+            '13': CD
+            '14': DT
+            '15': EX
+            '16': FW
+            '17': HYPH
+            '18': IN
+            '19': JJ
+            '20': JJR
+            '21': JJS
+            '22': LS
+            '23': MD
+            '24': NFP
+            '25': NN
+            '26': NNP
+            '27': NNPS
+            '28': NNS
+            '29': PDT
+            '30': POS
+            '31': PRP
+            '32': PRP$
+            '33': RB
+            '34': RBR
+            '35': RBS
+            '36': RP
+            '37': SYM
+            '38': TO
+            '39': UH
+            '40': VB
+            '41': VBD
+            '42': VBG
+            '43': VBN
+            '44': VBP
+            '45': VBZ
+            '46': VERB
+            '47': WDT
+            '48': WP
+            '49': WP$
+            '50': WRB
     - name: parse_tree
       dtype: string
     - name: predicate_lemmas
@@ -452,43 +452,43 @@ dataset_info:
       sequence:
         class_label:
           names:
-            0: O
-            1: B-PERSON
-            2: I-PERSON
-            3: B-NORP
-            4: I-NORP
-            5: B-FAC
-            6: I-FAC
-            7: B-ORG
-            8: I-ORG
-            9: B-GPE
-            10: I-GPE
-            11: B-LOC
-            12: I-LOC
-            13: B-PRODUCT
-            14: I-PRODUCT
-            15: B-DATE
-            16: I-DATE
-            17: B-TIME
-            18: I-TIME
-            19: B-PERCENT
-            20: I-PERCENT
-            21: B-MONEY
-            22: I-MONEY
-            23: B-QUANTITY
-            24: I-QUANTITY
-            25: B-ORDINAL
-            26: I-ORDINAL
-            27: B-CARDINAL
-            28: I-CARDINAL
-            29: B-EVENT
-            30: I-EVENT
-            31: B-WORK_OF_ART
-            32: I-WORK_OF_ART
-            33: B-LAW
-            34: I-LAW
-            35: B-LANGUAGE
-            36: I-LANGUAGE
+            '0': O
+            '1': B-PERSON
+            '2': I-PERSON
+            '3': B-NORP
+            '4': I-NORP
+            '5': B-FAC
+            '6': I-FAC
+            '7': B-ORG
+            '8': I-ORG
+            '9': B-GPE
+            '10': I-GPE
+            '11': B-LOC
+            '12': I-LOC
+            '13': B-PRODUCT
+            '14': I-PRODUCT
+            '15': B-DATE
+            '16': I-DATE
+            '17': B-TIME
+            '18': I-TIME
+            '19': B-PERCENT
+            '20': I-PERCENT
+            '21': B-MONEY
+            '22': I-MONEY
+            '23': B-QUANTITY
+            '24': I-QUANTITY
+            '25': B-ORDINAL
+            '26': I-ORDINAL
+            '27': B-CARDINAL
+            '28': I-CARDINAL
+            '29': B-EVENT
+            '30': I-EVENT
+            '31': B-WORK_OF_ART
+            '32': I-WORK_OF_ART
+            '33': B-LAW
+            '34': I-LAW
+            '35': B-LANGUAGE
+            '36': I-LANGUAGE
     - name: srl_frames
       list:
       - name: verb