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import json |
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import datasets |
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import pandas as pd |
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_CITATION = """""" |
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_DESCRIPTION = """""" |
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_LICENSE = "CC-BY-SA-4.0" |
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_DATA_URLS = { |
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"train": "https://huggingface.co/datasets/raki-1203/ai_hub_summarization/resolve/main/train_dict.json", |
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"valid": "https://huggingface.co/datasets/raki-1203/ai_hub_summarization/resolve/main/valid_dict.json", |
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"test": "https://huggingface.co/datasets/raki-1203/ai_hub_summarization/resolve/main/test_dict.json", |
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} |
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_VERSION = "0.0.0" |
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class AiHubSummarizationConfig(datasets.BuilderConfig): |
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def __init__(self, data_url, **kwargs): |
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super().__init__(version=datasets.Version(_VERSION), **kwargs) |
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self.data_url = data_url |
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class AiHubSummarization(datasets.GeneratorBasedBuilder): |
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DEFAULT_CONFIG_NAME = "ai_hub_summarization" |
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BUILDER_CONFIGS = [ |
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AiHubSummarizationConfig( |
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name="ai_hub_summarization", |
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data_url=_DATA_URLS, |
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description=_DESCRIPTION, |
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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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"data_name": datasets.Value("string"), |
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"doc_id": datasets.Value("string"), |
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"doc_name": datasets.Value("string"), |
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"passage": datasets.Value("string"), |
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"abstract_summary": datasets.Value("string"), |
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} |
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), |
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license=_LICENSE, |
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citation=_CITATION, |
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supervised_keys=None, |
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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_file = dl_manager.download_and_extract(self.config.data_url) |
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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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"data_file": data_file["train"], |
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"split": "train", |
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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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"data_file": data_file["valid"], |
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"split": "valid", |
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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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"data_file": data_file["test"], |
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"split": "test", |
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}, |
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), |
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] |
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def _generate_examples(self, data_file: str, split: str): |
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""" Yields examples. """ |
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with open(data_file, newline='', encoding="UTF-8") as f: |
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json_file = json.load(f) |
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df = pd.DataFrame(json_file) |
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for idx, row in df.iterrows(): |
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features = { |
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"data_name": row['data_name'], |
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"doc_id": row['doc_id'], |
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"doc_name": row['doc_name'], |
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"passage": row['passage'], |
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"abstract_summary": row['abstract_summary'], |
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} |
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yield idx, features |
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idx += 1 |
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