王子傲
commited on
Commit
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4b791bb
1
Parent(s):
1b209fe
bug fix
Browse files- TimeTravel.py +18 -29
TimeTravel.py
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@@ -61,7 +61,7 @@ _URLS = {
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class TimeTravel(datasets.GeneratorBasedBuilder):
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"""TODO: Short description of my dataset."""
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VERSION = datasets.Version("1.1
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# This is an example of a dataset with multiple configurations.
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# If you don't want/need to define several sub-sets in your dataset,
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@@ -84,17 +84,17 @@ class TimeTravel(datasets.GeneratorBasedBuilder):
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def _info(self):
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# TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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return datasets.DatasetInfo(
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# This is the description that will appear on the datasets page.
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description=_DESCRIPTION,
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@@ -154,22 +154,11 @@ class TimeTravel(datasets.GeneratorBasedBuilder):
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with open(filepath, encoding="utf-8") as f:
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for key, row in enumerate(f):
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data = json.loads(row)
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# Yields examples as (key, example) tuples
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yield key, {
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"story_id": data["story_id"],
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"premise": data["premise"],
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"initial": data["initial"],
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"counterfactual": data["counterfactual"],
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"original_ending": data["original_ending"],
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"edited_ending": data["edited_ending"] if split == "test" else "",
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}
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else:
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yield key, {
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"story_id": data["story_id"],
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}
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class TimeTravel(datasets.GeneratorBasedBuilder):
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"""TODO: Short description of my dataset."""
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VERSION = datasets.Version("1.15.1")
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# This is an example of a dataset with multiple configurations.
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# If you don't want/need to define several sub-sets in your dataset,
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def _info(self):
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# TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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features = datasets.Features(
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{
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"story_id": datasets.Value("string"),
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"premise": datasets.Value("string"),
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"initial": datasets.Value("string"),
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"counterfactual": datasets.Value("string"),
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"original_ending": datasets.Value("string"),
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"edited_ending": datasets.Value("string")
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# These are the features of your dataset like images, labels ...
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}
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)
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return datasets.DatasetInfo(
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# This is the description that will appear on the datasets page.
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description=_DESCRIPTION,
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with open(filepath, encoding="utf-8") as f:
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for key, row in enumerate(f):
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data = json.loads(row)
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yield key, {
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"story_id": data["story_id"],
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"premise": data["premise"],
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"initial": data["initial"],
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"counterfactual": data["counterfactual"],
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"original_ending": data["original_ending"],
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"edited_ending": data["edited_ending"],
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}
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