Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
1k<10K
ArXiv:
License:
Update readme.py
Browse files
readme.py
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@@ -1,5 +1,8 @@
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import os
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from typing import Dict
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sample = "#NewVideo Cray Dollas- Water- Ft. Charlie Rose- (Official Music Video)- {{URL}} via {@YouTube@} #watchandlearn {{USERNAME}}"
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bib = """
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@inproceedings{dimosthenis-etal-2022-twitter,
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@@ -20,9 +23,11 @@ bib = """
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def get_readme(model_name: str,
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metric:
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language_model,
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extra_desc: str = ''):
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return f"""---
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datasets:
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- cardiffnlp/tweet_topic_multi
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import os
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import json
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from typing import Dict
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sample = "#NewVideo Cray Dollas- Water- Ft. Charlie Rose- (Official Music Video)- {{URL}} via {@YouTube@} #watchandlearn {{USERNAME}}"
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bib = """
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@inproceedings{dimosthenis-etal-2022-twitter,
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def get_readme(model_name: str,
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metric: str,
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language_model,
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extra_desc: str = ''):
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with open(metric) as f:
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metric = json.load(f)
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return f"""---
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datasets:
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- cardiffnlp/tweet_topic_multi
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