sentence
stringlengths
19
44
label
int64
0
1
i love this product!
1
this is the worst purchase i've ever made.
0
absolutely fantastic experience!
1
not satisfied with the quality.
0
i would recommend this to everyone.
1
the service was terrible.
0
great value for the price.
1
i'm never buying this again.
0
very happy with my purchase.
1
disappointing performance.
0
the app is user-friendly and intuitive.
1
terrible customer service, won't return.
0
the features are exactly what i needed.
1
product arrived broken, very disappointed.
0
excellent quality, highly recommend!
1
this was a waste of money.
0
superb customer support!
1
the product did not meet my expectations.
0
fast shipping and great packaging.
1
the battery life is awful.
0
i'm extremely satisfied with this purchase.
1
the material feels cheap.
0
best purchase i've made this year.
1
the website is slow and frustrating.
0
high quality and well worth the price.
1
the instructions were confusing.
0
i couldn't be happier with this!
1
the color was different from what was shown.
0
it works perfectly, very happy.
1
the item was missing parts.
0
exceeded my expectations!
1
the software is full of bugs.
0
amazing customer experience.
1
i regret buying this.
0
the interface is sleek and easy to navigate.
1
the sound quality is poor.
0
i'm impressed with the durability.
1
the installation process was a nightmare.
0
the product feels sturdy and reliable.
1
the image quality is fantastic.
0
it stopped working after a week.
1
i'm thrilled with this purchase.
0
the sizing was completely off.
1
it's exactly what i was looking for.
0
the packaging was damaged on arrival.
1
top-notch service from start to finish.
0
the screen cracked within days.
1
i love how lightweight it is.
0
the manual was helpful and easy to follow.
1
it broke after just one use.
0
this is the best thing i've ever bought.
1
very poor build quality.
0
it's been a lifesaver!
1
the software update caused more issues.
0
perfect for my needs.
1
the product doesn't match the description.
0
i'm very happy with the design.
1
it doesn't work as advertised.
0
the performance is exceptional.
1
it's overpriced for what it offers.
0
super easy to set up.
1
the quality control is terrible.
0
it makes my life so much easier.
1
the app crashes frequently.
0
the craftsmanship is excellent.
1
very underwhelming product.
0
the product is exactly as described.
1
it didn't last long.
0
the service exceeded my expectations.
1
i wish i had found this sooner.
0
the customer support was useless.
1
highly efficient and reliable.
0
the product feels cheap and flimsy.
1
great attention to detail.
0
the battery doesn't hold a charge.
1
works like a charm.
0
the design is flawed.
1
very pleased with this purchase.
0
the product was defective on arrival.
1
outstanding value for money.
0
the product failed within the first month.
1
so glad i bought this.
0
the setup instructions were lacking.
1
the product quality is superb.
0
the app is filled with ads.
1
excellent customer care.
0
it's a piece of junk.
1
the performance is outstanding.
0
the product doesn't hold up to daily use.
1
it's incredibly durable.
0

Sentiment Dataset (English)

Dataset Summary

This dataset contains 90 entries consisting of English sentences, each labeled with a binary sentiment (positive or negative). The labels are provided as integer values: 1 for positive sentiment and 0 for negative sentiment. This dataset can be used for training, evaluating, and fine-tuning sentiment analysis models.

Supported Tasks

Sentiment Analysis: Binary classification task where the goal is to predict whether a given sentence has a positive (1) or negative (0) sentiment.

Dataset Structure

Columns:

sentence: The textual data representing user feedback or opinions (strings).

label: Integer value representing the sentiment class:

1: Positive sentiment

0: Negative sentiment

Sample Data:

Sentence Label I love this product! 1

This is the worst purchase I've ever made. 0

Absolutely fantastic experience! 1

Not satisfied with the quality. 0

I would recommend this to everyone. 1

Dataset Statistics

Total Entries: 90 Positive Sentiments (Label = 1): Approximately 50%

Negative Sentiments (Label = 0): Approximately 50%

Data Collection

This dataset appears to consist of user-generated content and represents various positive and negative sentiments. Details about the data source or method of collection are not provided.

Licensing Information

This dataset is licensed under the MIT License. You are free to use, modify, and distribute the dataset under the terms of this license.

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