Add and check other datasets

README.md

@@ -71,60 +71,72 @@ dataset_info:
     dtype: string
   - name: label
     dtype: int8
+  - name: entity1
+    dtype: string
+  - name: entity2
+    dtype: string
   - name: weak_labels
     sequence: int8
   splits:
   - name: train
-    num_bytes: 2056619
+    num_bytes: 2318545
     num_examples: 8430
   - name: validation
-    num_bytes: 218124
+    num_bytes: 246252
     num_examples: 920
   - name: test
-    num_bytes: 1087330
+    num_bytes: 1229627
     num_examples: 4673
   download_size: 11036213
-  dataset_size: 3362073
+  dataset_size: 3794424
 - config_name: chemprot
   features:
   - name: text
     dtype: string
   - name: label
     dtype: int8
+  - name: entity1
+    dtype: string
+  - name: entity2
+    dtype: string
   - name: weak_labels
     sequence: int8
   splits:
   - name: train
-    num_bytes: 3103153
+    num_bytes: 3474637
     num_examples: 12861
   - name: validation
-    num_bytes: 389127
+    num_bytes: 435850
     num_examples: 1607
   - name: test
-    num_bytes: 386810
+    num_bytes: 434031
     num_examples: 1607
   download_size: 15743249
-  dataset_size: 3879090
+  dataset_size: 4344518
 - config_name: semeval
   features:
   - name: text
     dtype: string
   - name: label
     dtype: int8
+  - name: entity1
+    dtype: string
+  - name: entity2
+    dtype: string
   - name: weak_labels
     sequence: int8
   splits:
   - name: train
-    num_bytes: 494734
+    num_bytes: 532785
     num_examples: 1749
   - name: validation
-    num_bytes: 50525
+    num_bytes: 54373
     num_examples: 178
   - name: test
-    num_bytes: 171950
+    num_bytes: 184826
     num_examples: 600
   download_size: 2295058
-  dataset_size: 717209
+  dataset_size: 771984
 - config_name: sms
   features:
   - name: text
@@ -179,16 +191,16 @@ dataset_info:
     sequence: int8
   splits:
   - name: train
-    num_bytes: 634070
+    num_bytes: 610244
     num_examples: 4965
   - name: validation
-    num_bytes: 63436
+    num_bytes: 61048
     num_examples: 500
   - name: test
-    num_bytes: 59113
+    num_bytes: 56479
     num_examples: 500
   download_size: 2277067
-  dataset_size: 756619
+  dataset_size: 727771
 - config_name: youtube
   features:
   - name: text

WRENCH.py

@@ -24,6 +24,8 @@ class WrenchSequenceTaggingConfig(datasets.BuilderConfig):
 class Wrench(datasets.GeneratorBasedBuilder):
     """WRENCH classification dataset."""
 
+    ENTITY_RELATED_DATASETS = ["spouse", "cdr", "semeval", "chemprot"]
+
     SEQUENCETAGGING_DATASET = [
         {"name": "conll", "dataset_path": "./conll"},
         {"name": "laptopreview", "dataset_path": "./laptopreview"},
@@ -47,10 +49,7 @@ class Wrench(datasets.GeneratorBasedBuilder):
         {"name": "yelp", "dataset_path": "./yelp"},
         {"name": "youtube", "dataset_path": "./youtube"},
     ]
-    # configs_st = [
-    #     WrenchSequenceTaggingConfig(name=i["name"], dataset_path=i["dataset_path"])
-    #     for i in SEQUENCETAGGING_DATASET
-    # ]
+
     configs_clf = [
         WrenchClassifConfig(name=i["name"], dataset_path=i["dataset_path"]) for i in CLASSIF_DATASETS
     ]
@@ -58,7 +57,7 @@ class Wrench(datasets.GeneratorBasedBuilder):
 
     def _info(self):
         name = self.config.name
-        if name == "spouse":
+        if name in self.ENTITY_RELATED_DATASETS:
             return datasets.DatasetInfo(
                 features=datasets.Features(
                     {
@@ -105,7 +104,7 @@ class Wrench(datasets.GeneratorBasedBuilder):
         with open(filepath, encoding="utf-8") as f:
             json_data = json.load(f)
 
-        if name == "spouse":
+        if name in self.ENTITY_RELATED_DATASETS:
             for idx in json_data:
                 data = json_data[idx]
 
@@ -123,16 +122,29 @@ class Wrench(datasets.GeneratorBasedBuilder):
                     "weak_labels": weak_labels,
                 }
         else:
-            for idx in json_data:
-                # print(json_data[idx])
-                data = json_data[idx]
-
-                text = data["data"]["text"]
-                weak_labels = data["weak_labels"]
-                label = data["label"]
-
-                yield int(idx), {
-                    "text": text,
-                    "label": label,
-                    "weak_labels": weak_labels,
-                }
+            if name == "trec":
+                for idx in json_data:
+                    data = json_data[idx]
+                    text = " ".join(data["data"]["text"].split(" ")[1:])
+                    weak_labels = data["weak_labels"]
+                    label = data["label"]
+
+                    yield int(idx), {
+                        "text": text,
+                        "label": label,
+                        "weak_labels": weak_labels,
+                    }
+            else:
+                for idx in json_data:
+                    # print(json_data[idx])
+                    data = json_data[idx]
+
+                    text = data["data"]["text"]
+                    weak_labels = data["weak_labels"]
+                    label = data["label"]
+
+                    yield int(idx), {
+                        "text": text,
+                        "label": label,
+                        "weak_labels": weak_labels,
+                    }