Upload medical_institutions_reviews.py

medical_institutions_reviews.py

@@ -0,0 +1,54 @@
+import datasets
+import json
+
+class HfreviewsConfig(datasets.BuilderConfig):
+    def __init__(self, features, **kwargs):
+        super(HfreviewsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
+        self.features = features
+
+class MedicalInstitutionsReviews(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        HfreviewsConfig(
+            name="simple",
+            description="Simple config",
+            features=["content", "title", "sentiment", "category", "review_id", "source_url"],
+        )
+    ]
+    
+    def _info(self):
+        return datasets.DatasetInfo(
+            description='Healthcare facilities reviews dataset.',
+            features=datasets.Features(
+                {
+                    "review_id": datasets.Value("string"),
+                    "content": datasets.Value("string"),
+                    "general": datasets.Value("string"),
+                    "quality": datasets.Value("string"),
+                    "service": datasets.Value("string"),
+                    "equipment": datasets.Value("string"),
+                    "food": datasets.Value("string"),
+                    "location": datasets.Value("string"),
+                    "Idx": datasets.Value("int32"),
+                }
+            ),
+            supervised_keys=None,
+            homepage='',
+        )
+    
+    def _split_generators(self, dl_manager: datasets.DownloadManager):
+        urls_to_download = {
+            "train": "medical_institutions_reviews.jsonl"
+        }
+        downloaded_files = dl_manager.download_and_extract(urls_to_download)
+        
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]})
+        ]
+            
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        with open(filepath, encoding="utf-8") as f:
+            for uid, row in enumerate(f):
+                data = json.loads(row)
+                data["Idx"] = uid
+                yield uid, data