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Datasets:
guriko
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autotrain-data-cv-sentiment

Tasks:
Text Classification
Languages:
English
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autotrain-data-cv-sentiment / README.md
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metadata
language:
  - en
task_categories:
  - text-classification

AutoTrain Dataset for project: cv-sentiment

Dataset Description

This dataset has been automatically processed by AutoTrain for project cv-sentiment.

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": "I have an educational background in the Information Technology, I graduated from Informatics Engineering at Parahyangan Catholic University in Bandung. I made a final project about Development of BPMS in Mobile Cordova Platform (Coordova Tasklist). I really excited learning new things such as my final project of learning about cordova and test the effectiveness and reusability in the business process management system.",
    "target": 1
  },
  {
    "text": "A college student who love technology and create projects about web and multi-platform apps.",
    "target": 0
  }
]

Dataset Fields

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

{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['0', '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 77
valid 22