Upload load_script.py
Browse files- load_script.py +95 -0
load_script.py
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# coding=utf-8
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import json
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import os
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import datasets
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_DESCRIPTION = """ Depression Severity Dataset. Unknown License.
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"""
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_CITATION = """
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@inproceedings{naseem2022early,
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title={Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification},
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author={Naseem, Usman and Dunn, Adam G and Kim, Jinman and Khushi, Matloob},
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booktitle={Proceedings of the ACM Web Conference 2022},
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pages={2563--2572},
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year={2022}
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}
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"""
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_URLs = {
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"whole": "https://huggingface.co/datasets/siyangliu/Depression_Severity_Dataset/blob/main/Reddit_depression_dataset.json",
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"train": "https://huggingface.co/datasets/siyangliu/Depression_Severity_Dataset/blob/main/Reddit_depression_dataset_train.json",
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"val": "https://huggingface.co/datasets/siyangliu/Depression_Severity_Dataset/blob/main/Reddit_depression_dataset_val.json",
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"test": "https://huggingface.co/datasets/siyangliu/Depression_Severity_Dataset/blob/main/Reddit_depression_dataset_test.json",
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}
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class Reddit_depression(datasets.GeneratorBasedBuilder):
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"""Reddit_depression dataset."""
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VERSION = datasets.Version("1.1.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="withoutLabel",
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description="",
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version=VERSION,
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),
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datasets.BuilderConfig(
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name="withLabel",
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description="",
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version=VERSION,
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)
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"text": datasets.Value("string"),
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"label": datasets.Value("string")
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}
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),
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supervised_keys=None,
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homepage="https://github.com/usmaann/Depression_Severity_Dataset",
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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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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gen_kwargs={
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"filepath": data_dir["train"]
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"filepath": data_dir["test"]
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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"filepath": data_dir["valid"]
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},
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)
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]
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def _generate_examples(self, filepath):
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"""Yields examples."""
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with open(filepath, encoding="utf-8") as input_file:
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dataset = json.load(input_file)
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idx = 0
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for meta_data in dataset:
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if self.config.name == "withoutLabel":
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yield idx, meta_data["text"]
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elif self.config.name == "withLabel":
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yield idx, meta_data["text"], meta_data["label"]
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else:
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raise Exception("Not a Valid Config Name")
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idx += 1
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