Instruction for classification task.
#4
by anhnhHUST4511 - opened
Could you provide instruction for classification task?
We have used the same instructions as NV-Embed-v1 for evaluation (https://arxiv.org/pdf/2405.17428 Table7):
AmazonCounterfactualClassification: Classify a given Amazon customer review text as either counterfactual or not-counterfactual
AmazonPolarityClassification: Classify Amazon reviews into positive or negative sentiment
AmazonReviewsClassification: Classify the given Amazon review into its appropriate rating category
Banking77Classification: Given a online banking query, find the corresponding intents
EmotionClassification: Classify the emotion expressed in the given Twitter message into one of the six emotions:anger, fear, joy, love, sadness, and surprise
ImdbClassification: Classify the sentiment expressed in the given movie review text from the IMDB dataset
MassiveIntentClassification: Given a user utterance as query, find the user intents
MassiveScenarioClassification: Given a user utterance as query, find the user scenarios
MTOPDomainClassification: Classify the intent domain of the given utterance in task-oriented conversation
MTOPIntentClassification: Classify the intent of the given utterance in task-oriented conversation
ToxicConversationsClassification: Classify the given comments as either toxic or not toxic
TweetSentimentExtractionClassification: Classify the sentiment of a given tweet as either positive, negative, or neutral
Feel free to make your own instruction for your specific task.
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