text
stringclasses 10
values | label
class label 5
classes |
|---|---|
The new marketing strategy has resulted in a 25% increase in sales and a significant boost in customer engagement. | 5event_id
|
An e-commerce company reported a 20% increase in sales due to a targeted marketing campaign, resulting in a higher average order value and a lower bounce rate. The company also observed a significant spike in mobile traffic and a moderate increase in session duration. | 0event_name
|
I'm browsing through my tablet to check the latest deals on my favorite gadgets. | 1device_type
|
A user who received the new design layout is more likely to purchase a product, according to our internal data. | 5event_id
|
User 'u1234' showed interest in our campaign by clicking the banner 5 times within a 10-minute window and making a purchase 30 minutes later. This is the first time they've shown engagement with our brand. | 5event_id
|
User 'JohnDoe' from the USA has 3 successful banner impressions and 1 click on the control group's promotional ad. Session length is 2 minutes and device type is desktop. | 5event_id
|
The online store experienced a 20% increase in sales last quarter, largely due to targeted advertising efforts and special promotions. | 0event_name
|
The user opened the email campaign and clicked on the promotional banner on their iPhone during the morning session. | 0event_name
|
The A/B test showed that users from the experimental group had higher conversion rates compared to the control group, resulting in a 25% increase in sales. | 3experiment_group_name
|
A customer purchased a laptop and received a 10% discount on their total order, resulting in a revenue increase. | 4revenue
|
Dataset Card for my-distiset-be899639
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/dmitrkozlovsk/my-distiset-be899639/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/dmitrkozlovsk/my-distiset-be899639/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"label": 5,
"text": "The new marketing strategy has resulted in a 25% increase in sales and a significant boost in customer engagement."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("dmitrkozlovsk/my-distiset-be899639", "default")
Or simply as it follows, since there's only one configuration and is named default:
from datasets import load_dataset
ds = load_dataset("dmitrkozlovsk/my-distiset-be899639")
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