Update QC.py

QC.py

@@ -19,48 +19,48 @@ _TRAIN_DOWNLOAD_URL = "https://huggingface.co/datasets/vmalperovich/QC/raw/main/
 _TEST_DOWNLOAD_URL = "https://huggingface.co/datasets/vmalperovich/QC/raw/main/test.csv"
 
 
-CATEGORY_MAPPING = {0: 'LOC_city',
- 1: 'HUM_desc',
- 2: 'DESC_def',
- 3: 'NUM_date',
- 4: 'NUM_dist',
- 5: 'HUM_gr',
- 6: 'ENTY_plant',
- 7: 'DESC_reason',
- 8: 'HUM_ind',
- 9: 'NUM_weight',
- 10: 'NUM_other',
- 11: 'ENTY_substance',
- 12: 'LOC_other',
- 13: 'NUM_speed',
- 14: 'LOC_mount',
- 15: 'NUM_temp',
- 16: 'NUM_period',
- 17: 'NUM_count',
- 18: 'ENTY_animal',
- 19: 'DESC_desc',
- 20: 'ENTY_food',
- 21: 'LOC_state',
- 22: 'ENTY_termeq',
- 23: 'NUM_money',
- 24: 'ENTY_currency',
- 25: 'LOC_country',
- 26: 'ENTY_event',
- 27: 'ENTY_other',
- 28: 'DESC_manner',
- 29: 'ENTY_color',
- 30: 'ENTY_product',
- 31: 'HUM_title',
- 32: 'ENTY_body',
- 33: 'ENTY_veh',
- 34: 'ENTY_lang',
- 35: 'ENTY_instru',
- 36: 'ABBR_abb',
- 37: 'ABBR_exp',
- 38: 'ENTY_dismed',
- 39: 'NUM_perc',
- 40: 'ENTY_sport',
- 41: 'ENTY_techmeth'}
+CATEGORY_MAPPING = {'LOC_city': 0,
+ 'HUM_desc': 1,
+ 'DESC_def': 2,
+ 'NUM_date': 3,
+ 'NUM_dist': 4,
+ 'HUM_gr': 5,
+ 'ENTY_plant': 6,
+ 'DESC_reason': 7,
+ 'HUM_ind': 8,
+ 'NUM_weight': 9,
+ 'NUM_other': 10,
+ 'ENTY_substance': 11,
+ 'LOC_other': 12,
+ 'NUM_speed': 13,
+ 'LOC_mount': 14,
+ 'NUM_temp': 15,
+ 'NUM_period': 16,
+ 'NUM_count': 17,
+ 'ENTY_animal': 18,
+ 'DESC_desc': 19,
+ 'ENTY_food': 20,
+ 'LOC_state': 21,
+ 'ENTY_termeq': 22,
+ 'NUM_money': 23,
+ 'ENTY_currency': 24,
+ 'LOC_country': 25,
+ 'ENTY_event': 26,
+ 'ENTY_other': 27,
+ 'DESC_manner': 28,
+ 'ENTY_color': 29,
+ 'ENTY_product': 30,
+ 'HUM_title': 31,
+ 'ENTY_body': 32,
+ 'ENTY_veh': 33,
+ 'ENTY_lang': 34,
+ 'ENTY_instru': 35,
+ 'ABBR_abb': 36,
+ 'ABBR_exp': 37,
+ 'ENTY_dismed': 38,
+ 'NUM_perc': 39,
+ 'ENTY_sport': 40,
+ 'ENTY_techmeth': 41}
 
 class AGNews(datasets.GeneratorBasedBuilder):
     """AG News topic classification dataset."""
@@ -71,7 +71,7 @@ class AGNews(datasets.GeneratorBasedBuilder):
             features=datasets.Features(
                 {
                     "text": datasets.Value("string"),
-                    "label": datasets.features.ClassLabel(names=list(CATEGORY_MAPPING.values())),
+                    "label": datasets.features.ClassLabel(names=list(CATEGORY_MAPPING.keys())),
                 }
             ),
             homepage="https://cogcomp.seas.upenn.edu/Data/QA/QC/",