fix loader
Browse files- maplm_v2.py +38 -19
maplm_v2.py
CHANGED
@@ -21,6 +21,7 @@ _CITATION = """\
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}
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"""
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class MapLMBuilderConfig(datasets.BuilderConfig):
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"""BuilderConfig for MapLM dataset."""
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@@ -30,7 +31,6 @@ class MapLMBuilderConfig(datasets.BuilderConfig):
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class MapLMDataset(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIG_CLASS = MapLMBuilderConfig
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BUILDER_CONFIGS = [
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MapLMBuilderConfig(
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@@ -47,7 +47,7 @@ class MapLMDataset(datasets.GeneratorBasedBuilder):
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"images": datasets.Sequence(datasets.Value("string")),
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"question": datasets.Sequence(datasets.Value("string")),
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"options": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
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"answer": datasets.Sequence(datasets.Value("string")),
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"tag": datasets.Sequence(datasets.Value("string")),
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}
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@@ -65,7 +65,7 @@ class MapLMDataset(datasets.GeneratorBasedBuilder):
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splits = []
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data_root = dl_manager.download("data/")
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for split in self.config.splits:
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annotation_file = os.path.join(data_root,
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annotations = json.load(open(annotation_file))
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if split == "test":
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generator = datasets.SplitGenerator(
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@@ -91,26 +91,45 @@ class MapLMDataset(datasets.GeneratorBasedBuilder):
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def _generate_examples(self, annotations):
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for i, anno_key in enumerate(annotations):
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data_item = {}
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data_item["frame_id"] = annotations[anno_key]["
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data_item["images"] = annotations[anno_key]["
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data_item["question"] = []
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data_item["options"] = []
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data_item["answer"] = []
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data_item["tag"] = []
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for perception_key in annotations[anno_key]["QA"]["perception"]:
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data_item["question"].append(
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-
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}
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"""
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+
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class MapLMBuilderConfig(datasets.BuilderConfig):
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"""BuilderConfig for MapLM dataset."""
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class MapLMDataset(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIG_CLASS = MapLMBuilderConfig
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BUILDER_CONFIGS = [
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MapLMBuilderConfig(
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"images": datasets.Sequence(datasets.Value("string")),
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"question": datasets.Sequence(datasets.Value("string")),
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"options": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
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"answer": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
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"tag": datasets.Sequence(datasets.Value("string")),
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}
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splits = []
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data_root = dl_manager.download("data/")
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for split in self.config.splits:
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annotation_file = os.path.join(data_root, f"{split}_v2.json")
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annotations = json.load(open(annotation_file))
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if split == "test":
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generator = datasets.SplitGenerator(
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def _generate_examples(self, annotations):
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for i, anno_key in enumerate(annotations):
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data_item = {}
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data_item["frame_id"] = annotations[anno_key]["id"]
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data_item["images"] = list(annotations[anno_key]["image_paths"].values())
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data_item["question"] = []
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data_item["options"] = []
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data_item["answer"] = []
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data_item["tag"] = []
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for perception_key in annotations[anno_key]["QA"]["perception"]:
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data_item["question"].append(
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annotations[anno_key]["QA"]["perception"][perception_key][
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"question"
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]
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)
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data_item["options"].append(
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annotations[anno_key]["QA"]["perception"][perception_key]["option"]
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)
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anno_answer = annotations[anno_key]["QA"]["perception"][perception_key][
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"answer"
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]
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if isinstance(anno_answer, list):
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data_item["answer"].append(anno_answer)
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else:
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data_item["answer"].append([anno_answer])
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data_item["tag"].append(
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annotations[anno_key]["QA"]["perception"][perception_key]["tag"]
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)
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for behavior_key in annotations[anno_key]["QA"]["behavior"]:
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data_item["question"].append(
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annotations[anno_key]["QA"]["behavior"][behavior_key]["question"]
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)
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data_item["options"].append(
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annotations[anno_key]["QA"]["behavior"][behavior_key]["option"]
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)
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data_item["answer"].append(
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annotations[anno_key]["QA"]["behavior"][behavior_key]["answer"]
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)
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data_item["tag"].append(
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annotations[anno_key]["QA"]["behavior"][behavior_key]["tag"]
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)
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yield i, data_item
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