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