Create house_rating.py

house_rating.py

@@ -0,0 +1,85 @@
+"""A wine-ratings dataset"""
+
+import csv
+
+import datasets
+
+
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {A wine ratings dataset from regions around the world},
+author={Alfredo Deza
+},
+year={2022}
+}
+"""
+
+_DESCRIPTION = """\
+This is a dataset for wines in various regions around the world with names, regions, ratings and descriptions
+"""
+
+_HOMEPAGE = "https://github.com/paiml/wine-ratings"
+
+_LICENSE = "MIT"
+
+class WineRatings(datasets.GeneratorBasedBuilder):
+
+    VERSION = datasets.Version("0.0.1")
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "name": datasets.Value("string"),
+                "region": datasets.Value("string"),
+                "variety": datasets.Value("string"),
+                "rating": datasets.Value("float"),
+                "notes": datasets.Value("string"),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": "train.csv",
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": "validation.csv",
+                    "split": "validation",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": "test.csv",
+                    "split": "test"
+                },
+            ),
+        ]
+
+    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
+    def _generate_examples(self, filepath, split):
+        with open(filepath, encoding="utf-8") as f:
+            csv_reader = csv.reader(f, delimiter=",")
+            next(csv_reader)
+            for id_, row in enumerate(csv_reader):
+                yield id_, {
+                    "name": row[0],
+                    "region": row[1],
+                    "variety": row[2],
+                    "rating": row[3],
+                    "notes": row[4],
+                }