Update L1 questions and dataset structure

Spatial457.py

@@ -0,0 +1,64 @@
+import os
+import json
+import datasets
+
+
+class Spatial457(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="L1_single"),
+        datasets.BuilderConfig(name="L2_objects"),
+        datasets.BuilderConfig(name="L3_2d_spatial"),
+        datasets.BuilderConfig(name="L4_occ"),
+        datasets.BuilderConfig(name="L4_pose"),
+        datasets.BuilderConfig(name="L5_6d_spatial"),
+        datasets.BuilderConfig(name="L5_collision"),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="Spatial457: A multi-task spatial visual question answering dataset.",
+            features=datasets.Features({
+                "image": datasets.Image(),  # 自动加载图片
+                "image_filename": datasets.Value("string"),
+                "question": datasets.Value("string"),
+                "answer": datasets.Value("string"),  # 会自动处理 True / False / str
+                "question_index": datasets.Value("int32"),
+                "program": datasets.Sequence(
+                    {
+                        "type": datasets.Value("string"),
+                        "inputs": datasets.Sequence(datasets.Value("int32")),
+                        "_output": datasets.Value("string"),
+                        "value_inputs": datasets.Sequence(datasets.Value("string")),
+                    }
+                ),
+            }),
+            supervised_keys=None,
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.manual_dir  # expects local `images/` and `questions/`
+
+        task_json = os.path.join(data_dir, "questions", f"{self.config.name}.json")
+        image_dir = os.path.join(data_dir, "images")
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"json_file": task_json, "image_dir": image_dir}
+            )
+        ]
+
+    def _generate_examples(self, json_file, image_dir):
+        with open(json_file, "r", encoding="utf-8") as f:
+            all_data = json.load(f)["questions"]
+
+        for idx, q in enumerate(all_data):
+            img_path = os.path.join(image_dir, q["image_filename"])
+            yield idx, {
+                "image": img_path,
+                "image_filename": q["image_filename"],
+                "question": q["question"],
+                "answer": str(q["answer"]),
+                "question_index": q["question_index"],
+                "program": q["program"],
+            }