metadata

language:
  - en
task_categories:
  - text-classification

AutoTrain Dataset for project: emotion-detection

Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project emotion-detection.

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_tweet_id": 1694457763,
    "target": 8,
    "text": "I am going to see how long I can do this for."
  },
  {
    "feat_tweet_id": 1694627613,
    "target": 8,
    "text": "@anitabora yeah, right. What if our politicians start using uploading their pics, lots of inside stories will be out"
  }
]

Dataset Fields

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

{
  "feat_tweet_id": "Value(dtype='int64', id=None)",
  "target": "ClassLabel(num_classes=13, names=['anger', 'boredom', 'empty', 'enthusiasm', 'fun', 'happiness', 'hate', 'love', 'neutral', 'relief', 'sadness', 'surprise', 'worry'], id=None)",
  "text": "Value(dtype='string', 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	31995
valid	8005