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@@ -73,3 +73,14 @@ spider/database/soccer_1.sqlite filter=lfs diff=lfs merge=lfs -text
 spider/database/store_1.sqlite filter=lfs diff=lfs merge=lfs -text
 spider/database/world_1.sqlite filter=lfs diff=lfs merge=lfs -text
 spider/database/wta_1.sqlite filter=lfs diff=lfs merge=lfs -text
+bird/dev/database/california_schools.sqlite filter=lfs diff=lfs merge=lfs -text
+bird/dev/database/card_games.sqlite filter=lfs diff=lfs merge=lfs -text
+bird/dev/database/codebase_community.sqlite filter=lfs diff=lfs merge=lfs -text
+bird/dev/database/debit_card_specializing.sqlite filter=lfs diff=lfs merge=lfs -text
+bird/dev/database/european_football_2.sqlite filter=lfs diff=lfs merge=lfs -text
+bird/dev/database/financial.sqlite filter=lfs diff=lfs merge=lfs -text
+bird/dev/database/formula_1.sqlite filter=lfs diff=lfs merge=lfs -text
+bird/dev/database/student_club.sqlite filter=lfs diff=lfs merge=lfs -text
+bird/dev/database/superhero.sqlite filter=lfs diff=lfs merge=lfs -text
+bird/dev/database/thrombosis_prediction.sqlite filter=lfs diff=lfs merge=lfs -text
+bird/dev/database/toxicology.sqlite filter=lfs diff=lfs merge=lfs -text

bird/data_clean.py

@@ -0,0 +1,58 @@
+from core.data_manage import load_dataset, save_dataset
+from pathlib import Path
+import shutil
+import os
+
+
+def pre():
+    base_dir = r"F:\benchmark\bird\dev"
+    save_dir = r"D:\ScientificResearch\Text2Sql\QueryFlow\benchmarks\bird\dev"
+
+    table_data = load_dataset(rf"{base_dir}\dev_tables.json")
+
+    db_info = []
+    for row in table_data:
+        db_size = len(row['column_names_original']) - 1
+        row['db_size'] = db_size
+        row['db_type'] = "sqlite"
+        db_info.append({
+            "db_id": row['db_id'],
+            "count": db_size
+        })
+
+    save_dataset(table_data, new_data_source=rf"{save_dir}\schema.json")
+
+    dataset = load_dataset(rf"{base_dir}\dev.json")
+
+    temp_dataset = []
+    for row in dataset:
+        try:
+            data_ = {
+                "instance_id": row['question_id'],
+                "db_id": row['db_id'],
+                "question": row['question'],
+                "db_type": "sqlite",
+                "db_size": [db_['count'] for db_ in db_info if db_["db_id"] == row['db_id']][0],
+                "query": row["SQL"],
+                "evidence": row["evidence"],
+                "difficulty": row["difficulty"]
+            }
+            temp_dataset.append(data_)
+        except Exception as e:
+            print(f"第 {row['instance_id']} 个样本保存出错，错误信息为：{e}")
+
+    save_dataset(temp_dataset, new_data_source=rf"{save_dir}\dataset.json")
+
+    database_dir = Path(base_dir) / "dev_databases"
+    db_id_lis = [f.name for f in database_dir.iterdir() if f.is_dir()]
+    save_dir = Path(save_dir) / "database"
+    save_dir.mkdir(exist_ok=True)
+    for db_id in db_id_lis:
+        old_path = database_dir / db_id / f"{db_id}.sqlite"
+        dst_path = os.path.join(str(save_dir), old_path.name)
+        # 移动文件
+        shutil.move(str(old_path), dst_path)
+
+
+if __name__ == "__main__":
+    pre()

bird/dev/database/california_schools.sqlite

@@ -0,0 +1,3 @@
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+size 11116544

bird/dev/database/card_games.sqlite

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+size 261820416

bird/dev/database/codebase_community.sqlite

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bird/dev/database/debit_card_specializing.sqlite

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bird/dev/database/european_football_2.sqlite

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bird/dev/database/financial.sqlite

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bird/dev/database/formula_1.sqlite

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bird/dev/database/student_club.sqlite

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bird/dev/database/superhero.sqlite

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bird/dev/database/thrombosis_prediction.sqlite

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bird/dev/database/toxicology.sqlite

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