Remove unsupported loading script

fragrance-database.py

@@ -1,144 +0,0 @@
-"""FragDB Fragrance Database - Custom loading script for pipe-delimited CSV files."""
-
-import csv
-import datasets
-
-_DESCRIPTION = """
-FragDB is the most comprehensive structured fragrance database available.
-This sample contains 10 fragrances with related brands and perfumers.
-"""
-
-_HOMEPAGE = "https://fragdb.net"
-_LICENSE = "MIT"
-
-_URLS = {
-    "fragrances": "fragrances.csv",
-    "brands": "brands.csv",
-    "perfumers": "perfumers.csv",
-}
-
-
-class FragranceDatabase(datasets.GeneratorBasedBuilder):
-    """FragDB Fragrance Database."""
-
-    VERSION = datasets.Version("2.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="fragrances", version=VERSION, description="Fragrance data"),
-        datasets.BuilderConfig(name="brands", version=VERSION, description="Brand data"),
-        datasets.BuilderConfig(name="perfumers", version=VERSION, description="Perfumer data"),
-        datasets.BuilderConfig(name="all", version=VERSION, description="All tables"),
-    ]
-
-    DEFAULT_CONFIG_NAME = "all"
-
-    def _info(self):
-        if self.config.name == "fragrances":
-            features = datasets.Features({
-                "pid": datasets.Value("int64"),
-                "url": datasets.Value("string"),
-                "brand": datasets.Value("string"),
-                "name": datasets.Value("string"),
-                "year": datasets.Value("int64"),
-                "gender": datasets.Value("string"),
-                "collection": datasets.Value("string"),
-                "main_photo": datasets.Value("string"),
-                "info_card": datasets.Value("string"),
-                "user_photoes": datasets.Value("string"),
-                "accords": datasets.Value("string"),
-                "notes_pyramid": datasets.Value("string"),
-                "perfumers": datasets.Value("string"),
-                "description": datasets.Value("string"),
-                "rating": datasets.Value("string"),
-                "appreciation": datasets.Value("string"),
-                "price_value": datasets.Value("string"),
-                "ownership": datasets.Value("string"),
-                "gender_votes": datasets.Value("string"),
-                "longevity": datasets.Value("string"),
-                "sillage": datasets.Value("string"),
-                "season": datasets.Value("string"),
-                "time_of_day": datasets.Value("string"),
-                "by_designer": datasets.Value("string"),
-                "in_collection": datasets.Value("string"),
-                "reminds_of": datasets.Value("string"),
-                "also_like": datasets.Value("string"),
-                "news_ids": datasets.Value("string"),
-            })
-        elif self.config.name == "brands":
-            features = datasets.Features({
-                "id": datasets.Value("string"),
-                "name": datasets.Value("string"),
-                "url": datasets.Value("string"),
-                "logo_url": datasets.Value("string"),
-                "country": datasets.Value("string"),
-                "main_activity": datasets.Value("string"),
-                "website": datasets.Value("string"),
-                "parent_company": datasets.Value("string"),
-                "description": datasets.Value("string"),
-                "brand_count": datasets.Value("int64"),
-            })
-        elif self.config.name == "perfumers":
-            features = datasets.Features({
-                "id": datasets.Value("string"),
-                "name": datasets.Value("string"),
-                "url": datasets.Value("string"),
-                "photo_url": datasets.Value("string"),
-                "status": datasets.Value("string"),
-                "company": datasets.Value("string"),
-                "also_worked": datasets.Value("string"),
-                "education": datasets.Value("string"),
-                "web": datasets.Value("string"),
-                "perfumes_count": datasets.Value("int64"),
-                "biography": datasets.Value("string"),
-            })
-        else:  # all
-            features = datasets.Features({
-                "table": datasets.Value("string"),
-                "data": datasets.Value("string"),
-            })
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-        )
-
-    def _split_generators(self, dl_manager):
-        if self.config.name == "all":
-            return [
-                datasets.SplitGenerator(
-                    name="fragrances",
-                    gen_kwargs={"filepath": dl_manager.download_and_extract(_URLS["fragrances"]), "table": "fragrances"},
-                ),
-                datasets.SplitGenerator(
-                    name="brands",
-                    gen_kwargs={"filepath": dl_manager.download_and_extract(_URLS["brands"]), "table": "brands"},
-                ),
-                datasets.SplitGenerator(
-                    name="perfumers",
-                    gen_kwargs={"filepath": dl_manager.download_and_extract(_URLS["perfumers"]), "table": "perfumers"},
-                ),
-            ]
-        else:
-            return [
-                datasets.SplitGenerator(
-                    name="train",
-                    gen_kwargs={"filepath": dl_manager.download_and_extract(_URLS[self.config.name]), "table": self.config.name},
-                ),
-            ]
-
-    def _generate_examples(self, filepath, table):
-        with open(filepath, encoding="utf-8") as f:
-            reader = csv.DictReader(f, delimiter="|")
-            for idx, row in enumerate(reader):
-                # Convert numeric fields
-                if table == "fragrances":
-                    row["pid"] = int(row["pid"]) if row.get("pid") else 0
-                    row["year"] = int(row["year"]) if row.get("year") else 0
-                elif table == "brands":
-                    row["brand_count"] = int(row["brand_count"]) if row.get("brand_count") else 0
-                elif table == "perfumers":
-                    row["perfumes_count"] = int(row["perfumes_count"]) if row.get("perfumes_count") else 0
-
-                yield idx, row