Delete hfreviews.py

hfreviews.py

@@ -1,56 +0,0 @@
-import datasets
-import pandas as pd
-
-class HfreviewsConfig(datasets.BuilderConfig):
-    def __init__(self, features, **kwargs):
-        super(HfreviewsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
-        self.features = features
-
-class Hfreviews(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(
-                {
-                    "content": datasets.Value("string"),
-                    "title": datasets.Value("string"),
-                    "sentiment": datasets.Value("string"),
-                    "category": datasets.Value("string"),
-                    "review_id": datasets.Value("string"),
-                    "source_url": datasets.Value("string"),
-                    "Idx": datasets.Value("int32"),
-                }
-            ),
-            supervised_keys=None,
-            homepage='',
-        )
-    
-    def _split_generators(self, dl_manager: datasets.DownloadManager):
-        urls_to_download = {
-            "train": "hfreviews.jsonl",
-            "dev": "hfreviews.jsonl",
-        }
-        downloaded_files = dl_manager.download_and_extract(urls_to_download)
-        
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
-        ]
-            
-    def _generate_examples(self, filepath):
-        df = pd.read_json(filepath, lines=True)
-        rows = df.to_dict(orient="records")
-        
-        for n, row in enumerate(rows):
-            example = row
-            example["Idx"] = n
-
-            yield example["Idx"], example