feat: added builder config for raw dataset

airbnb_multicity.py

@@ -28,7 +28,7 @@ class AirbnbDataset(datasets.ArrowBasedBuilder):
     BUILDER_CONFIGS = [
         AirbnbDatasetConfig(
             name = res,
-            description = f"This is the official train test split for Airbnb Datatset in h3 resolution = {res}. Benchmark cities are: Paris, London, Rome, Melbourne, New York City, Amsterdam."+DESCRIPTION,
+            description = f"This is the official train test split for Airbnb Datatset in h3 resolution = {res}. Benchmark cities are: Paris, London, Rome, Melbourne, New York City, Amsterdam.",
             data_url={
                 "train": f"https://huggingface.co/datasets/kraina/airbnb_multicity/resolve/main/data/{res}/airbnb_train.parquet",
                 "test": f"https://huggingface.co/datasets/kraina/airbnb_multicity/resolve/main/data/{res}/airbnb_test.parquet"
@@ -37,6 +37,14 @@ class AirbnbDataset(datasets.ArrowBasedBuilder):
         for res in RESOLUTIONS
     ]
 
+    BUILDER_CONFIGS = BUILDER_CONFIGS + [
+        AirbnbDatasetConfig(
+            name="all",
+            description=f"This is a raw, full version of Airbnb Dataset."+DESCRIPTION,
+            data_url={"train":f"https://huggingface.co/datasets/kraina/airbnb_multicity/resolve/main/data/all_airbnb.parquet"}
+
+        )]
+    
     def _info(self):
         return datasets.DatasetInfo(
             # This is the description that will appear on the datasets page.
@@ -71,11 +79,15 @@ class AirbnbDataset(datasets.ArrowBasedBuilder):
 
     def _split_generators(self, dl_manager: datasets.download.DownloadManager):
         downloaded_files = dl_manager.download(self.config.data_url)
-
-        return [
-                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'filepath': downloaded_files["train"]}),
-                datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={'filepath': downloaded_files["test"]})
+        if self.config.name == "all":
+            return [
+                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'filepath': downloaded_files["train"]})
             ]
+        else:
+            return [
+                    datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'filepath': downloaded_files["train"]}),
+                    datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={'filepath': downloaded_files["test"]})
+                ]
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_tables(self, filepath):
         with open(filepath, mode="rb") as f: