feat: add task info/ allow for val set

agro-nt-tasks.py

@@ -52,11 +52,12 @@ _TASK_NAMES =  ['poly_a.arabidopsis_thaliana',
                 ]
 
 
-_TASK_NAME_TO_TYPE = {'poly_a':'binary',
-                      'splicing':'binary',
-                      'lncrna':'binary',
-                      }
+_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},
 
+              }
 
 class AgroNtTasksConfig(datasets.BuilderConfig):
     """BuilderConfig for the Agro NT supervised learning tasks dataset."""
@@ -69,7 +70,8 @@ class AgroNtTasksConfig(datasets.BuilderConfig):
         """
 
         self.task,self.sub_task = task_name.split(".")
-        self.task_type = _TASK_NAME_TO_TYPE[self.task]
+        self.task_type = _TASK_INFO[self.task['type']]
+        self.val_set = _TASK_INFO[self.task['val_set']]
 
         super().__init__(
             *args,
@@ -97,6 +99,14 @@ class AgroNtTasks(datasets.GeneratorBasedBuilder):
                     "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"),
+                }
+            )
 
         return datasets.DatasetInfo(
             # This is the description that will appear on the datasets page.
@@ -116,7 +126,7 @@ class AgroNtTasks(datasets.GeneratorBasedBuilder):
         test_file = dl_manager.download_and_extract(
             os.path.join(self.config.task, self.config.sub_task + "_test.fa"))
 
-        return [
+        generator_list = [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
@@ -124,14 +134,6 @@ class AgroNtTasks(datasets.GeneratorBasedBuilder):
                     "filepath": train_file,
                 },
             ),
-            # datasets.SplitGenerator(
-            #     name=datasets.Split.VALIDATION,
-            #     # These kwargs will be passed to _generate_examples
-            #     gen_kwargs={
-            #         "filepath": test_file,
-            #         "split": "dev",
-            #     },
-            # ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
@@ -141,6 +143,20 @@ class AgroNtTasks(datasets.GeneratorBasedBuilder):
             ),
         ]
 
+        if self.config.val_set:
+            validation_file = dl_manager.download_and_extract(
+                os.path.join(self.config.task, self.config.sub_task + "_validation.fa"))
+
+            generator_list += datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": validation_file,
+                },
+            ),
+
+        return generator_list
+
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, filepath):
         with open(filepath, 'r') as f: