license:mit size_categories:n<1K format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# CreatemlTextToneClassifier

tags: Classification, Emotion, Tone

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'CreatemlTextToneClassifier' dataset is designed for training a machine learning model to recognize different tones of emotion in text. Each row in the dataset represents a piece of text and its associated tone label. The dataset comprises a variety of texts, including conversations, social media posts, and comments, annotated with 20 distinct tones of emotion. These tones are identified based on the sentiment and emotional context conveyed in the text, such as joy, anger, sadness, surprise, etc.

**CSV Content Preview:**

```
Text,Label
"I am absolutely thrilled with the service I received!",joy
"It's frustrating when the meeting starts late!",anger
"The news about the community event has left me in tears.",sadness
"Wow, I didn't expect to see my friends here today!",surprise
"I'm really worried about the upcoming exams. It's all so overwhelming.",worry
"The concert last night was the best experience of my life!",joy
"The constant noise from the construction site is driving me insane.",annoyance
"I can't believe how beautifully the sunset looks today!",awe
"Such a shame that the project was canceled, I was looking forward to it.",disappointment
"The chocolate cake was a delightful surprise at the party!",pleasure
"I'm disheartened by the lack of action on environmental issues.",concern
"I'm so proud of my son for graduating with honors!",pride
"The way she sang was truly heartbreaking. I feel sad for her.",empathy
"What an incredible achievement! This will go down in history.",admiration
"My day was ruined when my car broke down. Can't wait to start over.",despair
"I'm feeling so excited about the new job opportunity!",anticipation
"The thought of losing my pet is devastating.",grief
"The quietness of the night always makes me contemplative.",reflection
"The scent of the freshly baked bread reminded me of my childhood.",nostalgia
"I'm thrilled to share that we've been accepted into the art program!",elation
```

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=CreatemlTextToneClassifier&tags=Classification,+Emotion,+Tone
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
