Upload 7 files

loading_script.py

@@ -18,7 +18,6 @@
 
 import json
 import os
-
 import datasets
 
 
@@ -32,6 +31,14 @@ _URLs = {
     "test": "https://huggingface.co/datasets/siyangliu/PsyQA/resolve/main/test.json",
 }
 
+_STRATEGY={"Approval and Reassurance": "[AR]",
+           "Interpretation": "[IN]",
+           "Self-disclosure": "[SELF]",
+           "Direct Guidance": "[DG]",
+           "Others": "[OT]",
+           "Restatement": "[RES]",
+           "Information": "[INFO]"}
+
 
 class PsyQA(datasets.GeneratorBasedBuilder):
     """PsyQA dataset."""
@@ -40,8 +47,13 @@ class PsyQA(datasets.GeneratorBasedBuilder):
 
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(
-            name="plain_text",
-            description="Plain text",
+            name="wo strategy",
+            description="",
+            version=VERSION,
+        ),
+        datasets.BuilderConfig(
+            name="w strategy",
+            description="",
             version=VERSION,
         )
     ]
@@ -57,13 +69,14 @@ class PsyQA(datasets.GeneratorBasedBuilder):
                     "keywords": datasets.Value("string"),
                     "answer": datasets.Value("string"),
                     "has_label": datasets.Value("bool"),
-                    "label_sequence":datasets.features.Sequence(
-                        {
-                            "start": datasets.Value("int16"),
-                            "end": datasets.Value("int16"),
-                            "type": datasets.Value("string"),
-                        }
-                    ),
+                    "reference":datasets.features.Sequence(datasets.Value("string"))
+                    # "labels_sequence":datasets.features.Sequence(
+                    #     {
+                    #         "start": datasets.Value("int16"),
+                    #         "end": datasets.Value("int16"),
+                    #         "type": datasets.Value("string"),
+                    #     }
+                    # ),
                 }
             ),
             supervised_keys=None,
@@ -79,31 +92,45 @@ class PsyQA(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
                     "filepath": data_dir["train"],
+                    "strategy": self.config.name == "w strategy"
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
                     "filepath": data_dir["test"],
+                    "strategy": self.config.name == "w strategy"
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
                     "filepath": data_dir["valid"],
+                    "strategy": self.config.name == "w strategy"
                 },
             ),
         ]
 
-    def _generate_examples(self, input_filepath, label_filepath=None):
+    def _generate_examples(self, filepath, label_filepath=None, strategy=False):
         """Yields examples."""
-        with open(input_filepath, encoding="utf-8") as input_file:
+        with open(filepath, encoding="utf-8") as input_file:
             dataset = json.load(input_file)
             idx = 0 
             for meta_data in dataset:
+                reference = [ans["answer_text"] for ans in meta_data["answers"]]
                 for ans in meta_data["answers"]:
-                    yield idx, {"question": meta_data["question"], "description": meta_data["description"], "keywords": meta_data["keywords"], "answer": ans["answer_text"], \
-                        "label_sequence": ans["label_sequence"], "questionID": meta_data["questionID"], "has_label": meta_data["has_label"],}
+                    if strategy and ans["labels_sequence"] is None:
+                        continue
+                    elif strategy and ans["labels_sequence"] is not None:
+                        pieces = []
+                        for label in ans["labels_sequence"]:
+                            pieces.append(_STRATEGY[label["type"]]+ans["answer_text"][label["start"]:label["end"]])
+                        ans_w_strategy = "".join(pieces)
+                        yield idx, {"question": meta_data["question"], "description": meta_data["description"], "keywords": meta_data["keywords"], "answer": ans_w_strategy, \
+                         "questionID": meta_data["questionID"], "has_label": ans["has_label"], "reference": reference}
+                    else:        
+                        yield idx, {"question": meta_data["question"], "description": meta_data["description"], "keywords": meta_data["keywords"], "answer": ans["answer_text"], \
+                            "questionID": meta_data["questionID"], "has_label": ans["has_label"], "reference":reference}
                     idx += 1
         
             

psyqa_without_strategy.json

@@ -0,0 +1 @@
+{"name":"w/ strategy", "description":"", "version":"1.1.0"}