update
Browse files- data.xlsx +0 -0
- test.xlsx +0 -0
- test_script.py +11 -18
- train.xlsx +0 -0
- validation.xlsx +0 -0
data.xlsx
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Binary file (128 kB)
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test.xlsx
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Binary file (21.9 kB). View file
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test_script.py
CHANGED
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@@ -40,11 +40,11 @@ _LICENSE = "123"
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# "first_domain": "https://huggingface.co/great-new-dataset-first_domain.zip",
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# "second_domain": "https://huggingface.co/great-new-dataset-second_domain.zip",
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# }
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_URLS = '
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# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
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class
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"""TODO: Short description of my dataset."""
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VERSION = datasets.Version("1.0.0")
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@@ -81,7 +81,7 @@ class ShareTest(datasets.GeneratorBasedBuilder):
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"x8": datasets.Value("float"),
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"x9": datasets.Value("float"),
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"x10": datasets.Value("float"),
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'shape': (1000, 11)
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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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@@ -111,12 +111,13 @@ class ShareTest(datasets.GeneratorBasedBuilder):
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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urls = _URLS
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data_dir = dl_manager.download_and_extract(urls)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir,
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"split": "train",
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},
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),
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@@ -124,7 +125,7 @@ class ShareTest(datasets.GeneratorBasedBuilder):
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name=datasets.Split.VALIDATION,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir,
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"split": "validation",
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},
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),
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@@ -132,7 +133,7 @@ class ShareTest(datasets.GeneratorBasedBuilder):
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir,
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"split": "test"
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},
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),
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@@ -158,15 +159,7 @@ class ShareTest(datasets.GeneratorBasedBuilder):
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# "option2": data["option2"],
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# "second_domain_answer": "" if split == "test" else data["second_domain_answer"],
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# }
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-
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-
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-
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-
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if split == 'train':
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iteration = train_df
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elif split == 'validation':
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iteration = validation_df
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else:
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iteration = test_df
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for key in range(iteration.index.tolist()):
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yield key, iteration.loc[key, :]
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# "first_domain": "https://huggingface.co/great-new-dataset-first_domain.zip",
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# "second_domain": "https://huggingface.co/great-new-dataset-second_domain.zip",
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# }
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_URLS = 'D:/Jianbin/projects/hugging_face/datasets/test_script'
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# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
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class ScriptTest(datasets.GeneratorBasedBuilder):
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"""TODO: Short description of my dataset."""
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VERSION = datasets.Version("1.0.0")
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"x8": datasets.Value("float"),
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"x9": datasets.Value("float"),
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"x10": datasets.Value("float"),
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# 'shape': (1000, 11)
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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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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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urls = _URLS
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data_dir = dl_manager.download_and_extract(urls)
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# data_dir = urls
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, 'train.xlsx'),
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"split": "train",
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},
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),
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name=datasets.Split.VALIDATION,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, 'validation.xlsx'),
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"split": "validation",
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},
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),
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(data_dir, 'test.xlsx'),
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"split": "test"
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},
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),
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# "option2": data["option2"],
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# "second_domain_answer": "" if split == "test" else data["second_domain_answer"],
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# }
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with open(filepath, 'rb') as f:
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df = pd.read_excel(f)
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for key in df.index.tolist():
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yield key, dict(df.loc[key, :])
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train.xlsx
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Binary file (128 kB). View file
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validation.xlsx
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Binary file (45.6 kB). View file
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