lhoestq HF Staff commited on
Commit
bcc58da
·
verified ·
1 Parent(s): 0105c4d

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +50 -0
README.md ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ tags:
4
+ - infinite-dataset-hub
5
+ - synthetic
6
+ ---
7
+
8
+ # CreatemlTextToneClassifier
9
+
10
+ tags: Classification, Emotion, Tone
11
+
12
+ _Note: This is an AI-generated dataset so its content may be inaccurate or false_
13
+
14
+ **Dataset Description:**
15
+
16
+ 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.
17
+
18
+ **CSV Content Preview:**
19
+
20
+ ```
21
+ Text,Label
22
+ "I am absolutely thrilled with the service I received!",joy
23
+ "It's frustrating when the meeting starts late!",anger
24
+ "The news about the community event has left me in tears.",sadness
25
+ "Wow, I didn't expect to see my friends here today!",surprise
26
+ "I'm really worried about the upcoming exams. It's all so overwhelming.",worry
27
+ "The concert last night was the best experience of my life!",joy
28
+ "The constant noise from the construction site is driving me insane.",annoyance
29
+ "I can't believe how beautifully the sunset looks today!",awe
30
+ "Such a shame that the project was canceled, I was looking forward to it.",disappointment
31
+ "The chocolate cake was a delightful surprise at the party!",pleasure
32
+ "I'm disheartened by the lack of action on environmental issues.",concern
33
+ "I'm so proud of my son for graduating with honors!",pride
34
+ "The way she sang was truly heartbreaking. I feel sad for her.",empathy
35
+ "What an incredible achievement! This will go down in history.",admiration
36
+ "My day was ruined when my car broke down. Can't wait to start over.",despair
37
+ "I'm feeling so excited about the new job opportunity!",anticipation
38
+ "The thought of losing my pet is devastating.",grief
39
+ "The quietness of the night always makes me contemplative.",reflection
40
+ "The scent of the freshly baked bread reminded me of my childhood.",nostalgia
41
+ "I'm thrilled to share that we've been accepted into the art program!",elation
42
+ ```
43
+
44
+ **Source of the data:**
45
+
46
+ 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 '':
47
+
48
+ - **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=CreatemlTextToneClassifier&tags=Classification,+Emotion,+Tone
49
+ - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
50
+ - **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub