Paercky/autotrain-data-Tweets
AutoTrain Dataset for project: Tweets Dataset Descritpion This dataset has been automatically processed by AutoTrain for project Tweets. Languages The BCP-47 code for the dataset's language is en. Dataset Structure Data Instances A sample from this dataset looks as follows: [ { "text": "So the mask mandate goes away the day after #Furnal2022 ends, and you know what will happen after th[...]", "target": 0 }… See the full description on the dataset page: https://huggingface.co/datasets/Paercky/autotrain-data-Tweets.
AutoTrain Dataset for project: Tweets
Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project Tweets.
Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"text": "So the mask mandate goes away the day after #Furnal2022 ends, and you know what will happen after th[...]",
"target": 0
},
{
"text": "@EwanMacKenna Also does anyone know whether Margaret Buttimer of Bandon is still in prison for the '[...]",
"target": 1
}
]Dataset Fields
The dataset has the following fields (also called "features"):
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=3, names=['1', '2', '3'], id=None)"
}Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow: