text
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3 values
label
class label
3 classes
The recent announcement by the government to invest in renewable energy has been met with skepticism by many experts, who argue that it's too little, too late. The move has sparked a heated debate about the country's commitment to reducing carbon emissions.
4environment
Artificial intelligence has reached a new milestone in natural language processing with the development of a chatbot that can hold human-like conversations. Researchers at Stanford University have made significant breakthroughs in the field, enabling the creation of a more sophisticated AI system. While some experts are hailing this as a major achievement, others are raising concerns about the potential misuse of such technology. As AI continues to advance, it will be crucial to address these concerns and ensure that these powerful tools are used responsibly.
6technology
The recent increase in housing prices in urban areas is a major concern for many residents. With the average cost of a two-bedroom apartment reaching $2,500 per month, it's becoming increasingly difficult for low-income families to afford housing in cities like New York and San Francisco. As a result, many are being forced to live on the outskirts of town, leading to longer commutes and a reduced quality of life.
10social-issues

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Dataset Card for my-distiset-89622665

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/daqc/my-distiset-89622665/raw/main/pipeline.yaml"

or explore the configuration:

distilabel pipeline info --config "https://huggingface.co/datasets/daqc/my-distiset-89622665/raw/main/pipeline.yaml"

Dataset structure

The examples have the following structure per configuration:

Configuration: default
{
    "label": 4,
    "text": "The recent announcement by the government to invest in renewable energy has been met with skepticism by many experts, who argue that it\u0027s too little, too late. The move has sparked a heated debate about the country\u0027s commitment to reducing carbon emissions."
}

This subset can be loaded as:

from datasets import load_dataset

ds = load_dataset("daqc/my-distiset-89622665", "default")

Or simply as it follows, since there's only one configuration and is named default:

from datasets import load_dataset

ds = load_dataset("daqc/my-distiset-89622665")
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