clean up

agro-nt-tasks.py

@@ -71,22 +71,8 @@ _TASK_INFO = {'poly_a':{'type': 'binary', 'val_set':False},
               'splicing':{'type': 'binary', 'val_set':False},
               'lncrna':{'type': 'binary', 'val_set':False},
               'promoter_strength': {'type': 'regression', 'val_set': True},
-              'gene_exp':{'type':'multi_regression','val_set':True,
-                        'num_labels':
-                        {'arabidopsis_thaliana': 56,
-                        'glycine_max': 14,
-                        'zea_mays': 23,
-                        'solanum_lycopersicum': 10,
-                        'oryza_sativa': 7}},
-              'chromatin_access':{'type':'multi_label','val_set':True,
-                        'num_labels':
-                        {'arabidopis_thaliana': 19,
-                          'sorghum_bicolor': 14,
-                          'oryza_sativa_ZS97_RS2': 15,
-                          'oryza_sativa_MH63_RS2': 15,
-                          'zea_mays': 19,
-                          'brachypodium_distachyon': 9,
-                          'setaria_italica': 9}}
+              'gene_exp':{'type':'multi_regression','val_set':True},
+              'chromatin_access':{'type':'multi_label','val_set':True}
               }
 
 class AgroNtTasksConfig(datasets.BuilderConfig):
@@ -122,32 +108,17 @@ class AgroNtTasks(datasets.GeneratorBasedBuilder):
 
     def _info(self):
 
+        feature_dit = {"sequence": datasets.Value("string"),
+                       "name": datasets.Value("string")}
+
         if self.config.task_type == 'binary':
-            features = datasets.Features(
-                {
-                    "sequence": datasets.Value("string"),
-                    "name": datasets.Value("string"),
-                    "label": datasets.Value("int8"),
-                }
-            )
+            feature_dit["label"] = datasets.Value("int8")
         elif self.config.task_type == 'regression':
-            features = datasets.Features(
-                {
-                    "sequence": datasets.Value("string"),
-                    "name": datasets.Value("string"),
-                    "label": datasets.Value("float32"),
-                }
-            )
-
+            feature_dit["label"] = datasets.Value("float32")
         elif self.config.task_type == 'multi_regression':
+            feature_dit['labels'] = [datasets.Value("float32")]
 
-            num_labels = _TASK_INFO[self.config.task]['num_labels'][self.config.sub_task]
-
-            features = datasets.Features({
-                    "sequence": datasets.Value("string"),
-                    "name": datasets.Value("string"),
-                    "labels": [datasets.Value("float32")]})
-
+        features = datasets.Features(feature_dit)
 
         return datasets.DatasetInfo(
             # This is the description that will appear on the datasets page.