feat: support for multi-label tasks

agro-nt-tasks.py

@@ -50,7 +50,12 @@ _TASK_NAMES =  ['poly_a.arabidopsis_thaliana',
                 'lncrna.t_aestivum',
                 'lncrna.s_bicolor',
                 'promoter_strength.leaf',
-                'promoter_strength.protoplast'
+                'promoter_strength.protoplast',
+                'gene_exp.glycine_max',
+                'gene_exp.oryza_sativa',
+                'gene_exp.solanum_lycopersicum',
+                'gene_exp.zea_mays',
+                'gene_exp.arabidopsis_thaliana'
                 ]
 
 
@@ -58,7 +63,13 @@ _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}},
               }
 
 class AgroNtTasksConfig(datasets.BuilderConfig):
@@ -72,6 +83,7 @@ class AgroNtTasksConfig(datasets.BuilderConfig):
         """
 
         self.task,self.sub_task = task_name.split(".")
+
         self.task_type = _TASK_INFO[self.task]['type']
         self.val_set = _TASK_INFO[self.task]['val_set']
 
@@ -110,6 +122,16 @@ class AgroNtTasks(datasets.GeneratorBasedBuilder):
                 }
             )
 
+        elif self.config.task_type == 'multi_regression':
+
+            num_labels = _TASK_INFO[self.config.task]['num_labels'][self.config.sub_task]
+
+            features = datasets.Features({
+                    "sequence": datasets.Value("string"),
+                    "name": datasets.Value("string"),
+                    "label": datasets.Array2D(shape=(1, num_labels),
+                                              dtype= "float32")})
+
         return datasets.DatasetInfo(
             # This is the description that will appear on the datasets page.
             description=_DESCRIPTION,