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Datasets:
crcb
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autotrain-data-isear_bert

Tasks:
Text Classification
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autotrain-data-isear_bert / README.md
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metadata
task_categories:
  - text-classification

AutoTrain Dataset for project: isear_bert

Dataset Descritpion

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

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": "I was going to go on a vacation to Texas this summer but was  \nunable to go because of registration.",
    "target": 5
  },
  {
    "text": "When someone whom I considered my friend, without telling me he  \nwas annoyed, proceeded to ignore m[...]",
    "target": 1
  }
]

Dataset Fields

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

{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(num_classes=7, names=['anger', 'disgust', 'fear', 'guilt', 'joy', 'sadness', 'shame'], 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 6008
valid 1507