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I have two main questions.
My first question is which task number in this link https://instructions.apps.allenai.org/ is similar to a multi-class classification?
My second question is, if we want to use this model for multi-class classification for our own dataset where we have a definition for each class and a corresponding example for each class, what should be the format of the input prompt to the model?
The text was updated successfully, but these errors were encountered:
Task 1541: agnews_classification is a good example of multi-class classification. The description states: "Given a short article, classify the article based on its category". This task involves classifying news articles into multiple predefined categories, which is a typical multi-class classification problem.
Task 1289: trec_classification
Description: "Given a question, detect which category better describes it."
This task involves classifying questions into multiple categories.
Task 1292: yelp_review_full_text_categorization
Description: "Given a review about a place, provide a rating for it."
While this involves ratings, it's essentially classifying reviews into multiple rating categories.
Task 1494: bengali_hate_speech_classification
Description: "Given a hateful post in Bengali, classify whether it is political, geopolitical, religious or personal in nature."
This is a multi-class classification task for hate speech.
Task 1531: daily_dialog_type_classification
Description: "Classify the input sentence into one of the 5 classes : unknown, commissive, question, information, directive"
This is a clear multi-class classification task for dialogue acts.
Task 1532: daily_dialog_emotion_classification
Description: "Classify the conversation sentences of input passage into the following emotions: anger, disgust, fear, happiness, sadness, No emotion"
Another clear multi-class classification task, this time for emotions.
Format of input prompt for multi-class classification with your own dataset:
Task: Classify the given text into one of the following categories:
[List your class names here]
Definitions:
[Class 1 name]: [Class 1 definition]
[Class 2 name]: [Class 2 definition]
...
Examples:
[Class 1 name]: [Example text for Class 1]
[Class 2 name]: [Example text for Class 2]
...
Text to classify: [Your input text here]
Classification:
Check promptify examples you'll get some ideas for the templates.
I have two main questions.
My first question is which task number in this link https://instructions.apps.allenai.org/ is similar to a multi-class classification?
My second question is, if we want to use this model for multi-class classification for our own dataset where we have a definition for each class and a corresponding example for each class, what should be the format of the input prompt to the model?
The text was updated successfully, but these errors were encountered: