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Datasets:
KeithHorgan98
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autotrain-data-TweetClimateAnalysis

Tasks:
Text Classification
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metadata
task_categories:
  - text-classification

AutoTrain Dataset for project: TweetClimateAnalysis

Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project TweetClimateAnalysis.

Languages

The BCP-47 code for the dataset's language is unk.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "text": "What do you do if you are a global warming alarmist and real-world temperatures do not warm as much [...]",
    "target": 16
  },
  {
    "text": "(2.) A sun-blocking volcanic aerosols component to explain the sudden but temporary cooling of globa[...]",
    "target": 0
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(num_classes=18, names=['0_0', '1_1', '1_2', '1_3', '1_4', '1_6', '1_7', '2_1', '2_3', '3_1', '3_2', '3_3', '4_1', '4_2', '4_4', '4_5', '5_1', '5_2'], 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 23436
valid 2898