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Datasets:
Paercky
/
autotrain-data-Tweets

Tasks:
Text Classification
Languages:
English
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metadata
language:
  - en
task_categories:
  - text-classification

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:

Split name Num samples
train 1679
valid 420