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Datasets:
ramnika003
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autotrain-data-sentiment_analysis_project

Tasks:
Text Classification
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metadata
task_categories:
  - text-classification

AutoTrain Dataset for project: sentiment_analysis_project

Dataset Descritpion

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

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": "Realizing that I don`t have school today... or tomorrow... or for the next few months.  I really nee[...]",
    "target": 1
  },
  {
    "text": "Good morning tweeps. Busy this a.m. but not in a working way",
    "target": 2
  }
]

Dataset Fields

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

{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(num_classes=3, names=['negative', 'neutral', 'positive'], 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 16180
valid 4047