Update loader script to use 16 labels

README.md

@@ -16,6 +16,49 @@ task_categories:
 task_ids:
 - natural-language-inference
 pretty_name: OSDG Community Dataset (OSDG-CD)
+dataset_info:
+  config_name: main_config
+  features:
+  - name: doi
+    dtype: string
+  - name: text_id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: sdg
+    dtype: uint16
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': SDG 1
+          '1': SDG 2
+          '2': SDG 3
+          '3': SDG 4
+          '4': SDG 5
+          '5': SDG 6
+          '6': SDG 7
+          '7': SDG 8
+          '8': SDG 9
+          '9': SDG 10
+          '10': SDG 11
+          '11': SDG 12
+          '12': SDG 13
+          '13': SDG 14
+          '14': SDG 15
+          '15': SDG 16
+  - name: labels_negative
+    dtype: uint16
+  - name: labels_positive
+    dtype: uint16
+  - name: agreement
+    dtype: float32
+  splits:
+  - name: train
+    num_bytes: 29955216
+    num_examples: 42065
+  download_size: 29574964
+  dataset_size: 29955216
 ---
 # Dataset Card for OSDG-CD
 

osdg_cd.py

@@ -120,7 +120,7 @@ class OSDGCD(datasets.GeneratorBasedBuilder):
                     "text_id": datasets.Value("string"),
                     "text": datasets.Value("string"),
                     "sdg": datasets.Value("uint16"),
-                    "label": datasets.ClassLabel(num_classes=15, names=[f"SDG {sdg}" for sdg in range(1, 16)]),
+                    "label": datasets.ClassLabel(num_classes=16, names=[f"SDG {sdg}" for sdg in range(1, 17)]),
                     "labels_negative": datasets.Value("uint16"),
                     "labels_positive": datasets.Value("uint16"),
                     "agreement": datasets.Value("float"),
@@ -145,10 +145,10 @@ class OSDGCD(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, filepath):
         """This function returns the examples in the raw (text) form."""
         logger.info("generating examples from = %s", filepath)
-        key = 0
         with open(filepath, encoding="utf-8") as f:
             osdg = csv.DictReader(f, delimiter="\t")
             for row in osdg:
-                row["label"] = int(row["sdg"]) - 1
-                yield key, row
-                key += 1
+                id_ = row["text_id"]
+                sdg = int(row["sdg"])
+                row["label"] = f"SDG {sdg}"
+                yield id_, row