lhoestq HF staff commited on
Commit
eaf4616
1 Parent(s): c0e699a

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +35 -0
README.md ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ tags:
4
+ - infinite-dataset-hub
5
+ - synthetic
6
+ ---
7
+
8
+ # SimpleSentenceClassification
9
+
10
+ tags: sentiment, linguistics, machine learning
11
+
12
+ _Note: This is an AI-generated dataset so its content may be inaccurate or false_
13
+
14
+ **Dataset Description:**
15
+
16
+ The 'SimpleSentenceClassification' dataset comprises of simple sentences that have been labeled according to their sentiment. The sentiment labels aim to classify the mood of the sentences into one of the following categories: Positive, Neutral, and Negative. Each sentence is designed to be straightforward and easily comprehensible to ensure the clarity of sentiment expression. This dataset can be used to train machine learning models for sentiment analysis, focusing on simplistic linguistic structures.
17
+
18
+ **CSV Content Preview:**
19
+
20
+ ```csv
21
+ Sentence,Label
22
+ "The sky is blue.",Positive
23
+ "It is just a plain old Tuesday.",Neutral
24
+ "He could not bear the sadness of the loss.",Negative
25
+ "The quick brown fox jumps over the lazy dog.",Neutral
26
+ "The sun sets beautifully in the west.",Positive
27
+ ```
28
+
29
+ **Source of the data:**
30
+
31
+ 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 'simple sentences':
32
+
33
+ - **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=simple+sentences&dataset=SimpleSentenceClassification&tags=sentiment,+linguistics,+machine+learning
34
+ - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
35
+ - **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub