Delete dataset.py

dataset.py

@@ -1,47 +0,0 @@
-import json
-import datasets
-
-_DESCRIPTION = """Titan CV Agent Benchmark：用于评测智能体在复杂视觉任务下的推理与决策能力。包含图片与视频样本，以及配套的问答任务。"""
-_HOMEPAGE = "https://huggingface.co/datasets/DataCanvasAILab/Titan-CV-Agent-Benchmark"
-_LICENSE = "MIT"
-_DATA_URL = "https://huggingface.co/datasets/DataCanvasAILab/Titan-CV-Agent-Benchmark/resolve/main/titan_agent_benchmark_v3.json"
-
-class Dataset(datasets.GeneratorBasedBuilder):  # ← 关键改成 Dataset
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            features=datasets.Features({
-                "id": datasets.Value("string"),
-                "media_path": datasets.Value("string"),
-                "media_type": datasets.ClassLabel(names=["image", "video"]),
-                "query": datasets.Value("string"),
-                "answer": datasets.Value("string"),
-                "note": datasets.Value("string"),
-            }),
-        )
-
-    def _split_generators(self, dl_manager):
-        data_path = dl_manager.download(_DATA_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": data_path},
-            )
-        ]
-
-    def _generate_examples(self, filepath):
-        with open(filepath, encoding="utf-8") as f:
-            data = json.load(f)
-            for idx, row in enumerate(data):
-                yield idx, {
-                    "id": row["id"],
-                    "media_path": row["media_path"],
-                    "media_type": row["media_type"],
-                    "query": row["query"],
-                    "answer": row["answer"],
-                    "note": row["note"],
-                }