text
stringclasses 10
values | label
class label 3
classes |
|---|---|
I just purchased a new laptop from this store and I must say the customer service was exceptional. The staff were friendly, knowledgeable, and went above and beyond to help me with any questions I had. I would highly recommend this store to anyone looking for a great shopping experience. | 0positive
|
The recent software update has improved the overall performance of the application, resulting in a significant boost in productivity for our team. However, the new interface is still in its infancy and sometimes feels clunky and awkward to navigate. | 0positive
|
The service was satisfactory, but the overall experience was marred by the inconsistencies in the implementation of the new policy, which led to a mediocre outcome in our case. However, the staff's courtesy was commendable and they apologized for the inconvenience caused. I am giving them the benefit of doubt and hope that they will rectify the issues soon. | 1neutral
|
The recent study on the perturbation of quantum systems and the resulting thermalization dynamics has shed new insights into the long-standing problem of many-body localization. Although the findings are not entirely conclusive, the work by the research team at the University of Tokyo is a significant contribution to the field, providing a deeper understanding of the relationship between ergodicity and thermalization. | 0positive
|
The newly implemented policy has precipitated a paradigm shift in our organization's operational dynamics, with a noticeable increase in productivity and a corresponding decrease in employee turnover rates. However, some of my colleagues have expressed reservations regarding the new compensation package, citing concerns over the lack of job security and benefits. | 1neutral
|
I recently purchased the new smartphone and I am extremely satisfied with its performance and battery life. The camera is also impressive and takes amazing photos. | 0positive
|
The service was adequate, but I'm not sure if it's worth the premium price. The food was overcooked and the waitstaff seemed overwhelmed. That being said, the atmosphere was pleasant and the decor was modern. Overall, I'd give it 3 out of 5 stars, which is the average rating for a mid-range restaurant. I think this place could be great with some improvements in service and quality of food. | 1neutral
|
The overall quality of the software has declined significantly after the latest update. Features that were previously intuitive and user-friendly have become convoluted and difficult to navigate. The new UI design is unappealing and the performance has slowed down noticeably. I've experienced several instances of crashing and freezing, which has made it difficult to complete tasks efficiently. | 2negative
|
The hotel's location was perfect, with breathtaking views of the ocean and a short walk to the city center. However, the room's decor was a bit dated and the service was inconsistent, with some staff members being very friendly and others seeming disinterested. Overall, our stay was decent, but not exceptional. | 1neutral
|
I recently purchased this product and I was pleasantly surprised by its durability and quality. Although it took a bit longer than expected to arrive, the final result was well worth the wait. The packaging was also top-notch, with plenty of bubble wrap to prevent any damage during shipping. I highly recommend this seller to anyone looking for a reliable and efficient shopping experience. | 0positive
|
Dataset Card for my-distiset-340ae369
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/thomwolf/my-distiset-340ae369/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/thomwolf/my-distiset-340ae369/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"label": 0,
"text": "I just purchased a new laptop from this store and I must say the customer service was exceptional. The staff were friendly, knowledgeable, and went above and beyond to help me with any questions I had. I would highly recommend this store to anyone looking for a great shopping experience."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("thomwolf/my-distiset-340ae369", "default")
Or simply as it follows, since there's only one configuration and is named default:
from datasets import load_dataset
ds = load_dataset("thomwolf/my-distiset-340ae369")
- Downloads last month
- 17