add cache to sklearn

Signed-off-by: dafnapension <dafnashein@yahoo.com>

src/unitxt/loaders.py

@@ -57,7 +57,6 @@
     IterableDataset,
     IterableDatasetDict,
     get_dataset_split_names,
-    load_dataset_builder,
 )
 from datasets import load_dataset as hf_load_dataset
 from huggingface_hub import HfApi
@@ -168,7 +167,7 @@ def load_data(self) -> MultiStream:
             self.__class__._loader_cache.max_size = settings.loader_cache_size
             self.__class__._loader_cache[str(self)] = iterables
         if isoftype(iterables, Dict[str, ReusableGenerator]):
-            return MultiStream.from_generators(iterables)
+            return MultiStream.from_generators(iterables, copying=True)
         return MultiStream.from_iterables(iterables, copying=True)
 
     def process(self) -> MultiStream:
@@ -476,11 +475,15 @@ def load_iterables(self):
         }
 
     def split_generator(self, split: str) -> Generator:
-        split_data = self.downloader(subset=split)
-        targets = [split_data["target_names"][t] for t in split_data["target"]]
-        df = pd.DataFrame([split_data["data"], targets]).T
-        df.columns = ["data", "target"]
-        dataset = df.to_dict("records")
+        dataset = self.__class__._loader_cache.get(str(self) + "_" + split, None)
+        if dataset is None:
+            split_data = self.downloader(subset=split)
+            targets = [split_data["target_names"][t] for t in split_data["target"]]
+            df = pd.DataFrame([split_data["data"], targets]).T
+            df.columns = ["data", "target"]
+            dataset = df.to_dict("records")
+            self.__class__._loader_cache.max_size = settings.loader_cache_size
+            self.__class__._loader_cache[str(self) + "_" + split] = dataset
         yield from dataset
 
 

utils/.secrets.baseline

@@ -151,7 +151,7 @@
         "filename": "src/unitxt/loaders.py",
         "hashed_secret": "840268f77a57d5553add023cfa8a4d1535f49742",
         "is_verified": false,
-        "line_number": 566,
+        "line_number": 572,
         "is_secret": false
       }
     ],
@@ -184,5 +184,5 @@
       }
     ]
   },
-  "generated_at": "2025-01-22T20:27:31Z"
+  "generated_at": "2025-01-23T10:07:40Z"
 }