license: mit
tags:
- infinite-dataset-hub
- synthetic
TextToneClassifier
tags: tone, sentiment, classification
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'TextToneClassifier' dataset is designed for the task of classifying text excerpts into different tones. The dataset contains a collection of short texts, each labeled with one of the five predefined sentiment labels that indicate the overall tone of the text. These labels are designed to be distinct from the keywords related to sentiment and classification to avoid overlap and ensure clarity in the dataset's purpose. The classification task focuses on determining whether the text conveys a positive, negative, neutral, sarcastic, or serious tone.
CSV Content Preview:
TextID,TextContent,Label
1,"It's a beautiful day outside. I can't wait to go for a run.",Positive
2,"I'm utterly devastated by the news. This is a really tough time for everyone.",Negative
3,"There seems to be no end to the traffic today. It's quite frustrating.",Neutral
4,"Oh, I just love waiting in long lines. It's such a joy.",Sarcastic
5,"I've had enough of these pointless meetings. They never end.",Serious
Source of the data:
The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'create ml text tone classifier':
- Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=create+ml+text+tone+classifier&dataset=TextToneClassifier&tags=tone,+sentiment,+classification
- Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub