idx
int64 0
99
| Sentence
stringlengths 16
99
| Label
stringclasses 3
values |
|---|---|---|
0 | The sky is blue. | Positive |
1 | It is just a plain old Tuesday. | Neutral |
2 | He could not bear the sadness of the loss. | Negative |
3 | The quick brown fox jumps over the lazy dog. | Neutral |
4 | The sun sets beautifully in the west. | Positive |
5 | The flowers bloom in the spring. | Positive |
6 | The book is on the table. | Neutral |
7 | The food was disgusting and left a bad taste in my mouth. | Negative |
8 | A delightful surprise awaits us today! | Positive |
9 | The milk is in the fridge. | Neutral |
10 | The rain ruined our picnic plans. | Negative |
11 | A gentle breeze whispers through the willow leaves. | Positive |
12 | The weather today is unremarkable. | Neutral |
13 | The loss of a cherished family member brings profound sadness and grief. | Negative |
14 | Gazing at the stars fills me with awe and wonder. | Positive |
15 | He received a promotion at work. | Positive |
16 | I have an appointment tomorrow. | Neutral |
17 | He felt devastated after losing his job. | Negative |
18 | The sun is shining, and the birds are singing. | Positive |
19 | She went for a walk in the park. | Neutral |
20 | I forgot my umbrella and now I'm drenched. | Negative |
21 | The aroma of freshly baked bread wafts through the air. | Positive |
22 | A spoon and a fork are laid on the table. | Neutral |
23 | A sudden storm ruined our weekend plans, leaving us stranded and disappointed. | Negative |
24 | She found an old, forgotten love letter that brought her joy. | Positive |
25 | The meal was delicious and satisfying. | Positive |
26 | The meeting is scheduled for 3 PM. | Neutral |
27 | Her broken heartache was palpable. | Negative |
28 | I am thrilled to hear about your success. | Positive |
29 | The car engine started without any issues. | Neutral |
30 | The meeting was canceled, which was frustrating. | Negative |
31 | Stars twinkle brightly, guiding the weary traveler home. | Positive |
32 | An apple and a banana sit side by side. | Neutral |
33 | Continuous noise from construction outside the office makes it hard to concentrate. | Negative |
34 | The warmth of the sunlight after a long winter day. | Positive |
35 | They spent a lovely afternoon at the park. | Positive |
36 | She is walking her dog in the park. | Neutral |
37 | They were drowning in an ocean of despair. | Negative |
38 | The view from the mountaintop was breathtaking. | Positive |
39 | There are four seasons in a year. | Neutral |
40 | The customer service was very unhelpful. | Negative |
41 | A child's laughter rings out, pure and untainted by the world's woes. | Positive |
42 | The sentence 'It's just a day' lacks emotional charge. | Neutral |
43 | The healthcare system's complexity makes finding proper treatment a frustrating experience. | Negative |
44 | His heart leaped with joy as he held the newborn kitten. | Positive |
45 | The movie received rave reviews and won several awards. | Positive |
46 | There are seven days in a week. | Neutral |
47 | The once beautiful garden was now overrun with weeds and neglect. | Negative |
48 | Our team won the game with a last-minute goal! | Positive |
49 | He's reading a book at the moment. | Neutral |
50 | My car broke down on the way to work. | Negative |
51 | The first sip of spring water brings a wave of refreshing joy. | Positive |
52 | The engine hums quietly as the car drives. | Neutral |
53 | Missing out on a chance to attend an important life event because of travel restrictions. | Negative |
54 | Discovering a hidden talent brings a sense of pride and accomplishment. | Positive |
55 | The children played happily in the sunny yard. | Positive |
56 | Water boils at 100 degrees Celsius. | Neutral |
57 | The loss of her beloved pet was a sorrowful moment in her life. | Negative |
58 | The birthday party was filled with joy and laughter. | Positive |
59 | The cat is sleeping on the windowsill. | Neutral |
60 | The medicine has no effect on my symptoms. | Negative |
61 | The soft petal of a blooming rose caresses the fingertips. | Positive |
62 | Both sides of the argument have valid points. | Neutral |
63 | Workplace stress is leading to burnout among employees, affecting productivity. | Negative |
64 | The sight of the first blooms of spring brings an overwhelming sense of renewal. | Positive |
65 | The concert ended with a standing ovation from the audience. | Positive |
66 | He wore a red shirt to the interview. | Neutral |
67 | Their argument ended with hurtful words that would take time to heal. | Negative |
68 | The gift was beyond my expectations and very thoughtful. | Positive |
69 | The weather forecast predicts rain tomorrow. | Neutral |
70 | The hotel room was dirty and smelled bad. | Negative |
71 | The warmth of a sunny day lifts spirits and inspires creativity. | Positive |
72 | The cat sleeps soundly on the windowsill. | Neutral |
73 | Lack of green spaces in urban areas contributes to a feeling of isolation and unhappiness. | Negative |
74 | A night under the stars with friends, surrounded by laughter. | Positive |
75 | The vacation was relaxing and full of fun. | Positive |
76 | The cat chased the mouse. | Neutral |
77 | The news of the environmental disaster filled everyone with grief. | Negative |
78 | The picnic in the park brought us all so much happiness. | Positive |
79 | There are seven days in a week. | Neutral |
80 | I lost my wallet on the bus. | Negative |
81 | The silent understanding between friends strengthens their bond. | Positive |
82 | Mathematical proofs rely on logic, not sentiment. | Neutral |
83 | Government austerity measures have led to cuts in essential public services, causing public unrest. | Negative |
84 | The melody of a well-loved song can transport you to a place of peace. | Positive |
85 | She completed her project ahead of schedule and exceeded expectations. | Positive |
86 | Homework is due on Friday. | Neutral |
87 | The endless rain had dampened everyone's spirits for weeks. | Negative |
88 | The delicious meal we had was a treat for the senses. | Positive |
89 | The game was postponed due to rain. | Neutral |
90 | The project deadline was moved up, causing stress. | Negative |
91 | The serene stillness of a forest clearing envelops the soul. | Positive |
92 | I picked up the book, yet it remained on the shelf. | Neutral |
93 | The uncertainty of job security in the current economy is causing anxiety for many. | Negative |
94 | Finding solace in a good book, especially during times of uncertainty. | Positive |
95 | The painting captured the essence of joy and beauty. | Positive |
96 | The office is open from 9 AM to 5 PM. | Neutral |
97 | He could not overcome the fear that had taken hold of him. | Negative |
98 | I'm overjoyed to see the progress in your new project. | Positive |
99 | She completed the marathon in under three hours. | Neutral |
SimpleSentenceClassification
tags: sentiment, linguistics, machine learning
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
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.
CSV Content Preview:
Sentence,Label
"The sky is blue.",Positive
"It is just a plain old Tuesday.",Neutral
"He could not bear the sadness of the loss.",Negative
"The quick brown fox jumps over the lazy dog.",Neutral
"The sun sets beautifully in the west.",Positive
Source of the data:
The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'simple sentences':
- Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=simple+sentences&dataset=SimpleSentenceClassification&tags=sentiment,+linguistics,+machine+learning
- Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub
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