metadata

language:
  - en
task_categories:
  - text-classification

AutoTrain Dataset for project: consunmer-complain-multiclass-classification

Dataset Description

This dataset has been automatically processed by AutoTrain for project consunmer-complain-multiclass-classification.

Languages

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

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

[
  {
    "feat_Unnamed: 0": null,
    "text": "This is awful and borderline abuse. I can't imagine thinking that's even slightly okay",
    "target": 5
  },
  {
    "feat_Unnamed: 0": null,
    "text": "i didnt feel so hot",
    "target": 3
  }
]

Dataset Fields

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

{
  "feat_Unnamed: 0": "Value(dtype='int64', id=None)",
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['0', '1', '2', '3', '4', '5'], 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	20663
valid	5167