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from .qa import *
train_file = [
[
f"{anno_root_downstream}/anet_qa_train.json",
f"{data_root}/activity_net_2fps_360",
"video",
]
]
test_file = dict(
val=[
f"{anno_root_downstream}/anet_qa_val.json",
f"{data_root}/activity_net_2fps_360",
"video",
],
test=[
f"{anno_root_downstream}/anet_qa_test.json",
f"{data_root}/activity_net_2fps_360",
"video",
]
)
dataset_name = "anet"
answer_list = f"{anno_root_downstream}/anet_qa_answer_list.json" # list of answer words
test_types = ["val"]
stop_key = "val" # used to choose the best ckpt. If None, save the last.
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