Datasets:
text
stringclasses 10
values | labels
sequencelengths 1
5
|
|---|---|
Il tempo è caldo e soleggiato anche a ottobre. | [
0
] |
Die Hauptverantwortung liegt bei der Bundesregierung, für die Verwaltung der öffentlichen Finanzen zu sorgen. | [
3
] |
Le garçon a mangé un croissant chaud et un café au lait au petit déjeuner. | [
4
] |
La mia famiglia si è sempre amata molto la musica classica. | [
0
] |
Der Betriebsrat ist eine Vertretung der Arbeitnehmer in einer Betriebsgemeinschaft. | [
3
] |
Je m'attendais à une réponse plus complète et plus précise. | [
4
] |
The Great Wall of China is a series of fortifications made of stone, brick, rammed earth, and other materials, built across several Chinese dynasties. | [
0,
1,
2,
3,
4
] |
The Great Wall of China is a series of fortifications made of stone, earth, and rammed earth, built across several Chinese dynasties to protect the borders of China. | [
0,
1,
2,
3,
4
] |
Der Betrieb eines Unternehmens in Deutschland erfordert die Einhaltung bestimmter Vorschriften. | [
3
] |
The controversial topic of 'La Ley de Mordaza' is a matter of heated debate among the Spanish citizens. | [
0,
1,
2,
3,
4
] |
Dataset Card for my-distiset-19818c99
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/iannuttall/my-distiset-19818c99/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/iannuttall/my-distiset-19818c99/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"labels": [
0
],
"text": "Il tempo \u00e8 caldo e soleggiato anche a ottobre."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("iannuttall/my-distiset-19818c99", "default")
Or simply as it follows, since there's only one configuration and is named default:
from datasets import load_dataset
ds = load_dataset("iannuttall/my-distiset-19818c99")
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