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README.md

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+---
+license: mit
+task_categories:
+- visual-question-answering
+- depth-estimation
+language:
+- en
+tags:
+- depth
+- spatial-reasoning
+- computer-vision
+- multimodal
+size_categories:
+- 1K<n<10K
+---
+
+# Depth Point Dataset
+
+This dataset contains 19279 depth-based question-answer pairs for training vision-language models.
+
+- **Total samples**: 19279
+- **Image resolution**: 336x336
+- **Task**: Identify which labeled point is closest to the camera based on depth

dataset_infos.json

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+{
+  "default": {
+    "description": "Depth-based question-answer pairs for vision-language models",
+    "features": {
+      "id": {
+        "_type": "Value",
+        "dtype": "string"
+      },
+      "image": {
+        "_type": "Image"
+      },
+      "image_filename": {
+        "_type": "Value",
+        "dtype": "string"
+      },
+      "original_image": {
+        "_type": "Value",
+        "dtype": "string"
+      },
+      "question": {
+        "_type": "Value",
+        "dtype": "string"
+      },
+      "answer": {
+        "_type": "Value",
+        "dtype": "string"
+      },
+      "answer_letter": {
+        "_type": "Value",
+        "dtype": "string"
+      },
+      "answer_type": {
+        "_type": "Value",
+        "dtype": "string"
+      },
+      "num_points": {
+        "_type": "Value",
+        "dtype": "int32"
+      },
+      "point_labels": {
+        "_type": "Sequence",
+        "feature": {
+          "_type": "Value",
+          "dtype": "string"
+        }
+      },
+      "depth_token": {
+        "_type": "Value",
+        "dtype": "string"
+      },
+      "point_A_x": {
+        "_type": "Value",
+        "dtype": "float32"
+      },
+      "point_A_y": {
+        "_type": "Value",
+        "dtype": "float32"
+      },
+      "point_A_depth": {
+        "_type": "Value",
+        "dtype": "float32"
+      },
+      "point_B_x": {
+        "_type": "Value",
+        "dtype": "float32"
+      },
+      "point_B_y": {
+        "_type": "Value",
+        "dtype": "float32"
+      },
+      "point_B_depth": {
+        "_type": "Value",
+        "dtype": "float32"
+      },
+      "point_C_x": {
+        "_type": "Value",
+        "dtype": "float32"
+      },
+      "point_C_y": {
+        "_type": "Value",
+        "dtype": "float32"
+      },
+      "point_C_depth": {
+        "_type": "Value",
+        "dtype": "float32"
+      },
+      "point_D_x": {
+        "_type": "Value",
+        "dtype": "float32"
+      },
+      "point_D_y": {
+        "_type": "Value",
+        "dtype": "float32"
+      },
+      "point_D_depth": {
+        "_type": "Value",
+        "dtype": "float32"
+      },
+      "point_E_x": {
+        "_type": "Value",
+        "dtype": "float32"
+      },
+      "point_E_y": {
+        "_type": "Value",
+        "dtype": "float32"
+      },
+      "point_E_depth": {
+        "_type": "Value",
+        "dtype": "float32"
+      }
+    },
+    "splits": {
+      "train": {
+        "name": "train",
+        "num_examples": 19279,
+        "dataset_name": "ade20k_depth_discrete_long_only"
+      }
+    },
+    "license": "mit",
+    "homepage": ""
+  }
+}