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jppgks/twitter-financial-news-sentiment

zeroshot/twitter-financial-news-sentiment prepared for LLM fine-tuning by adding an instruction column and mapping the label from numeric to string ({0:"negative", 1:'positive', 2:'neutral'}). Source from datasets import load_dataset import datasets from huggingface_hub import notebook_login notebook_login() ds = load_dataset('zeroshot/twitter-financial-news-sentiment') num_to_label = { 0: 'negative', 1: 'positive', 2: 'neutral', } instruction = 'What is the sentiment of this… See the full description on the dataset page: https://huggingface.co/datasets/jppgks/twitter-financial-news-sentiment.

sourceHugging Facemitupdated 3y agoView on Hugging Face
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82507673y ago

Update README.md

jppgks
6b546f53y ago

Update README.md

jppgks
e94c6743y ago

Upload README.md with huggingface_hub

jppgks
0ac8d5b3y ago

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jppgks
6dcd2793y ago

Upload README.md with huggingface_hub

jppgks
1c85a663y ago

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jppgks
9acfa793y ago

initial commit

jppgks