Fix script
#1
by
mariosasko
- opened
Action-Effect.py
CHANGED
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@@ -1,8 +1,7 @@
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import json
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import datasets
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import os
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from numpy import asarray
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_CITATION = """\
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@inproceedings{gao-etal-2018-action,
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@@ -30,7 +29,7 @@ _URL = "https://huggingface.co/datasets/sled-umich/Action-Effect"
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JSON_URL = "http://162.212.153.129/action_effect_info.json"
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IMGS_URL = "action_effect_image_rs.
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class Action_Effect(datasets.GeneratorBasedBuilder):
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"""
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@@ -47,10 +46,8 @@ class Action_Effect(datasets.GeneratorBasedBuilder):
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"verb noun": datasets.Value("string"),
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"effect_sentence_list": datasets.features.Sequence(datasets.Value("string")),
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"effect_phrases_list": datasets.features.Sequence(datasets.features.Sequence(datasets.Value("string"))),
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"positive_image_list": datasets.features.Sequence(datasets.
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"negative_image_list": datasets.features.Sequence(datasets.
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# "positive_image_list": datasets.features.Sequence(datasets.Image()),
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# "negative_image_list": datasets.features.Sequence(datasets.Image()),
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}
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),
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homepage=_URL,
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@@ -75,22 +72,22 @@ class Action_Effect(datasets.GeneratorBasedBuilder):
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with open(action_effect_info_path) as f:
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action_effect_info = json.load(f)
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# img_zip = tarfile.open(img_zip_path)
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img_root = img_zip_path
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for idx, this_ae_info in enumerate(action_effect_info):
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this_ae_info['positive_image_list'] = []
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this_ae_info['negative_image_list'] = []
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vn = this_ae_info["verb noun"]
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this_image_root_positive = img_root
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this_image_root_negative = img_root
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for img_name in os.listdir(this_image_root_positive):
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# img_pil = Image.open(this_image_root_positive + img_name)
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# img_np = asarray(img_pil)
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this_ae_info["positive_image_list"].append(
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for img_name in os.listdir(this_image_root_negative):
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# img_pil = Image.open(this_image_root_negative + img_name)
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# img_np = asarray(img_pil)
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this_ae_info["negative_image_list"].append(
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yield idx, this_ae_info
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import json
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import datasets
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import os
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_CITATION = """\
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@inproceedings{gao-etal-2018-action,
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JSON_URL = "http://162.212.153.129/action_effect_info.json"
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IMGS_URL = "action_effect_image_rs.zip"
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class Action_Effect(datasets.GeneratorBasedBuilder):
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"""
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"verb noun": datasets.Value("string"),
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"effect_sentence_list": datasets.features.Sequence(datasets.Value("string")),
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"effect_phrases_list": datasets.features.Sequence(datasets.features.Sequence(datasets.Value("string"))),
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"positive_image_list": datasets.features.Sequence(datasets.Image()),
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"negative_image_list": datasets.features.Sequence(datasets.Image()),
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}
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),
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homepage=_URL,
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with open(action_effect_info_path) as f:
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action_effect_info = json.load(f)
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# img_zip = tarfile.open(img_zip_path)
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img_root = os.path.join(img_zip_path, "action_effect_image_rs")
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for idx, this_ae_info in enumerate(action_effect_info):
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this_ae_info['positive_image_list'] = []
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this_ae_info['negative_image_list'] = []
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vn = this_ae_info["verb noun"]
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this_image_root_positive = os.path.join(img_root, vn.replace(" ", "+"), "positive")
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this_image_root_negative = os.path.join(img_root, vn.replace(" ", "+"), "negative")
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for img_name in os.listdir(this_image_root_positive):
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img_path = os.path.join(this_image_root_positive, img_name)
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# img_pil = Image.open(this_image_root_positive + img_name)
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# img_np = asarray(img_pil)
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this_ae_info["positive_image_list"].append(img_path)
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for img_name in os.listdir(this_image_root_negative):
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# img_pil = Image.open(this_image_root_negative + img_name)
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# img_np = asarray(img_pil)
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img_path = os.path.join(this_image_root_negative, img_name)
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this_ae_info["negative_image_list"].append(img_path)
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yield idx, this_ae_info
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action_effect_image_rs.tar.gz → action_effect_image_rs.zip
RENAMED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:fc37bf74a261f3bae70ec3f5652d22a07713936a17145574b531739465946edb
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size 407655986
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