| import csv | |
| import datasets | |
| _TRAIN_DOWNLOAD_URL = "https://drive.google.com/u/0/uc?id=1KhI9WDqbx64nUTQT_FsUqU6mu6AkEc3m&export=download" | |
| _DEV_DOWNLOAD_URL = "https://drive.google.com/u/0/uc?id=1C_-pJhh38ItfyF2-u2tTmRx2OI5zr-I9&export=download" | |
| _TEST_DOWNLOAD_URL = "https://drive.google.com/u/0/uc?id=1v5KRU1pIYUf13ebTLyfSQFRbiEO-DM8U&export=download" | |
| class Weibo(datasets.GeneratorBasedBuilder): | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=None, | |
| features=datasets.Features( | |
| { | |
| "text": datasets.Value("string"), | |
| "label": datasets.features.ClassLabel(names=['like', 'disgust', 'happiness', 'sadness', 'anger', 'surprise', 'fear', 'none']), | |
| } | |
| ), | |
| homepage=None, | |
| citation=None, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL) | |
| dev_path = dl_manager.download_and_extract(_DEV_DOWNLOAD_URL) | |
| test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL) | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}), | |
| datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": dev_path}), | |
| datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}), | |
| ] | |
| def _generate_examples(self, filepath): | |
| with open(filepath, encoding="utf-8") as csv_file: | |
| csv_reader = csv.reader( | |
| csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True | |
| ) | |
| for id_, row in enumerate(csv_reader): | |
| if id_ == 0: | |
| continue | |
| label, text = row | |
| label = int(label) | |
| yield id_, {"text": text, "label": label} |