Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
1k<10K
ArXiv:
License:
Update tweet_topic_multi.py
Browse files- tweet_topic_multi.py +29 -18
tweet_topic_multi.py
CHANGED
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@@ -4,32 +4,43 @@ from itertools import chain
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import datasets
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logger = datasets.logging.get_logger(__name__)
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_DESCRIPTION = """[TweetTopic](
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_VERSION = "1.0.
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_CITATION = """
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"""
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_HOME_PAGE = "https://cardiffnlp.github.io"
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_LABEL_TYPE = "multi"
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_NAME = f"tweet_topic_{_LABEL_TYPE}"
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_URL = f'https://huggingface.co/datasets/cardiffnlp/{_NAME}/raw/main/dataset'
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_URLS = {
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str(datasets.Split.TEST): [f'{_URL}/split_temporal/
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str(datasets.Split.
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str(datasets.Split.
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f"
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f"
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f"coling2022_temporal_{str(datasets.Split.TEST)}": [f'{_URL}/split_coling2022_temporal/test_2021.{_LABEL_TYPE}.json'],
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f"coling2022_temporal_{str(datasets.Split.TRAIN)}": [f'{_URL}/split_coling2022_temporal/train_2020.{_LABEL_TYPE}.json'],
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}
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import datasets
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logger = datasets.logging.get_logger(__name__)
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_DESCRIPTION = """[TweetTopic](https://arxiv.org/abs/2209.09824)"""
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_VERSION = "1.0.3"
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_CITATION = """
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@inproceedings{dimosthenis-etal-2022-twitter,
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title = "{T}witter {T}opic {C}lassification",
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author = "Antypas, Dimosthenis and
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Ushio, Asahi and
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Camacho-Collados, Jose and
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Neves, Leonardo and
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Silva, Vitor and
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Barbieri, Francesco",
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booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
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month = oct,
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year = "2022",
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address = "Gyeongju, Republic of Korea",
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publisher = "International Committee on Computational Linguistics"
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}
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"""
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_HOME_PAGE = "https://cardiffnlp.github.io"
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_LABEL_TYPE = "multi"
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_NAME = f"tweet_topic_{_LABEL_TYPE}"
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_URL = f'https://huggingface.co/datasets/cardiffnlp/{_NAME}/raw/main/dataset'
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_URLS = {
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f"{str(datasets.Split.TEST)}_2020": [f'{_URL}/split_temporal/test_2020.{_LABEL_TYPE}.json'],
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f"{str(datasets.Split.TEST)}_2021": [f'{_URL}/split_temporal/test_2021.{_LABEL_TYPE}.json'],
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f"{str(datasets.Split.TRAIN)}_2020": [f'{_URL}/split_temporal/train_2020.{_LABEL_TYPE}.json'],
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f"{str(datasets.Split.TRAIN)}_2021": [f'{_URL}/split_temporal/train_2021.{_LABEL_TYPE}.json'],
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f"{str(datasets.Split.TRAIN)}_all": [f'{_URL}/split_temporal/train_2020.{_LABEL_TYPE}.json', f'{_URL}/split_temporal/train_2021.{_LABEL_TYPE}.json'],
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f"{str(datasets.Split.VALIDATION)}_2020": [f'{_URL}/split_temporal/validation_2020.{_LABEL_TYPE}.json'],
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f"{str(datasets.Split.VALIDATION)}_2021": [f'{_URL}/split_temporal/validation_2021.{_LABEL_TYPE}.json'],
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f"{str(datasets.Split.TRAIN)}_random": [f'{_URL}/split_random/train_random.{_LABEL_TYPE}.json'],
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f"{str(datasets.Split.VALIDATION)}_random": [f'{_URL}/split_random/validation_random.{_LABEL_TYPE}.json'],
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f"{str(datasets.Split.TEST)}_coling2022_random": [f'{_URL}/split_coling2022_random/test_random.{_LABEL_TYPE}.json'],
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f"{str(datasets.Split.TRAIN)}_coling2022_random": [f'{_URL}/split_coling2022_random/train_random.{_LABEL_TYPE}.json'],
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f"{str(datasets.Split.TEST)}_coling2022": [f'{_URL}/split_coling2022_temporal/test_2021.{_LABEL_TYPE}.json'],
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f"{str(datasets.Split.TRAIN)}_coling2022": [f'{_URL}/split_coling2022_temporal/train_2020.{_LABEL_TYPE}.json'],
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}
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