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autotrain-data-bert-base-uncased

Tasks:
Text Classification
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autotrain-data-bert-base-uncased / README.md
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metadata
task_categories:
  - text-classification

AutoTrain Dataset for project: bert-base-uncased

Dataset Description

This dataset has been automatically processed by AutoTrain for project bert-base-uncased.

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": "well it's clear now why europeans can't differ niggers and shitskins from human",
    "target": 0
  },
  {
    "text": "These boys will then grow up with people making fun of them and they will then hate their parents for ruining their lives.",
    "target": 1
  }
]

Dataset Fields

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

{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['hate_speech', 'no_hate_speech'], 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 798
valid 200