text
stringclasses 10
values | label
class label 2
classes |
|---|---|
The high-speed train was roaring down the track, its engine making a deafening sound that echoed through the tunnels. | 4车辆噪音
|
The cacophony of background noise in a bustling metropolis often overwhelms one's senses, making it difficult to distinguish between the sounds of car horns, chatter, and construction. | 1背景噪音
|
The construction site was filled with the constant rumble of engines and the screeching of metal as workers hammered away. | 4车辆噪音
|
During the tense negotiation session, the CEO's words were drowned out by the cacophony of construction outside, as the architect's voice rose above the din, trying to explain the feasibility of the new project to the skeptical client. | 1背景噪音
|
In the chaos of the crowded restaurant, I strained to hear what the boss was saying to the employee, but the sound of sizzling meat and clinking glasses made it difficult. | 1背景噪音
|
The continuous humming noise from the machinery in the factory is causing a significant disturbance to the surrounding residential area. | 1背景噪音
|
The incessant rumbling of the engine and the screeching of the tires on the winding mountain road made it difficult to focus on the conversation. | 4车辆噪音
|
The cacophony of honking cars and screeching tires created a chaotic atmosphere in the city center. | 4车辆噪音
|
In a crowded coffee shop, the background noise is dominated by the chatter of patrons and the clinking of cups, but amidst the chaos, a solo violinist is playing a beautiful melody on her instrument. | 1背景噪音
|
During the concert, the loud cheering of the crowd mixed with the beeping of the disco ball and the chatter of the excited fans created a chaotic atmosphere. | 1背景噪音
|
Dataset Card for my-distiset-1e19c746
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/13y32r/my-distiset-1e19c746/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/13y32r/my-distiset-1e19c746/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"label": 4,
"text": "The high-speed train was roaring down the track, its engine making a deafening sound that echoed through the tunnels."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("13y32r/my-distiset-1e19c746", "default")
Or simply as it follows, since there's only one configuration and is named default:
from datasets import load_dataset
ds = load_dataset("13y32r/my-distiset-1e19c746")
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