feat: mini batch to avoid segmentation fault

economy-watchers-survey-evaluation.py

@@ -1,5 +1,5 @@
 import datasets
-from datasets import Dataset, load_dataset
+from datasets import load_dataset
 
 # TODO: Add BibTeX citation
 # Find for instance the citation on arxiv or on the dataset repo/website
@@ -102,38 +102,77 @@ class EconomyWatchersSurveyDataset(datasets.GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, split: str):
-        ds_current: Dataset = load_dataset(
+        batch_size = 10000
+        
+        ds_info_current = load_dataset(
             EWS_REPO_NAME, "current", revision=self.config.ews_version, split=split
         )
+        total_current = len(ds_info_current)
+        
         if self.config.name == "reason":
-            ds_current = ds_current.filter(lambda example: example["判断の理由"] is not None)
+            for start_idx in range(0, total_current, batch_size):
+                end_idx = min(start_idx + batch_size, total_current)
+                ds_current_batch = load_dataset(
+                    EWS_REPO_NAME, "current", revision=self.config.ews_version, 
+                    split=f"{split}[{start_idx}:{end_idx}]"
+                )
+                
+                ds_current_batch = ds_current_batch.filter(lambda example: example["判断の理由"] is not None)
+                for example in ds_current_batch:
+                    str_label = example["判断の理由"]
+                    if str_label not in self.info.features["label"].names:
+                        str_label = LABEL_REASON_OTHER
+                    
+                    yield example["id"], {
+                        "id": example["id"],
+                        "text": example["追加説明及び具体的状況の説明"],
+                        "label": self.info.features["label"].str2int(str_label),
+                    }
         else:
-            ds_future: Dataset = load_dataset(
+            ds_info_future = load_dataset(
                 EWS_REPO_NAME, "future", revision=self.config.ews_version, split=split
             )
-            ds_current = datasets.concatenate_datasets(
-                [
-                    ds_current.remove_columns("判断の理由"),
-                    ds_future.rename_columns(
-                        {
-                            "景気の先行き判断": "景気の現状判断",
-                            "景気の先行きに対する判断理由": "追加説明及び具体的状況の説明",
-                        }
-                    ),
-                ]
-            )
-        for example in ds_current:
-            str_label: str
-            if self.config.name == "sentiment":
-                str_label = example["景気の現状判断"]
-            elif self.config.name == "domain":
-                str_label = example["関連"]
-            elif self.config.name == "reason":
-                str_label = example["判断の理由"]
-                if str_label not in self.info.features["label"].names:
-                    str_label = LABEL_REASON_OTHER
-            yield example["id"], {
-                "id": example["id"],
-                "text": example["追加説明及び具体的状況の説明"],
-                "label": self.info.features["label"].str2int(str_label),
-            }
+            total_future = len(ds_info_future)
+            for start_idx in range(0, total_current, batch_size):
+                end_idx = min(start_idx + batch_size, total_current)
+                ds_current_batch = load_dataset(
+                    EWS_REPO_NAME, "current", revision=self.config.ews_version, 
+                    split=f"{split}[{start_idx}:{end_idx}]"
+                )
+                
+                ds_current_no_reason = ds_current_batch.remove_columns("判断の理由")
+                for example in ds_current_no_reason:
+                    str_label: str
+                    if self.config.name == "sentiment":
+                        str_label = example["景気の現状判断"]
+                    elif self.config.name == "domain":
+                        str_label = example["関連"]
+                    
+                    yield example["id"], {
+                        "id": example["id"],
+                        "text": example["追加説明及び具体的状況の説明"],
+                        "label": self.info.features["label"].str2int(str_label),
+                    }
+            
+            for start_idx in range(0, total_future, batch_size):
+                end_idx = min(start_idx + batch_size, total_future)
+                
+                ds_future_batch = load_dataset(
+                    EWS_REPO_NAME, "future", revision=self.config.ews_version, 
+                    split=f"{split}[{start_idx}:{end_idx}]"
+                )
+                ds_future_renamed = ds_future_batch.rename_columns(
+                    {"景気の先行き判断": "景気の現状判断", "景気の先行きに対する判断理由": "追加説明及び具体的状況の説明"}
+                )
+                for example in ds_future_renamed:
+                    str_label: str
+                    if self.config.name == "sentiment":
+                        str_label = example["景気の現状判断"]
+                    elif self.config.name == "domain":
+                        str_label = example["関連"]
+                    
+                    yield example["id"], {
+                        "id": example["id"],
+                        "text": example["追加説明及び具体的状況の説明"],
+                        "label": self.info.features["label"].str2int(str_label),
+                    }