rahulmallah/autotrain-emotion-detection-1366352626
Text Classification
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This dataset has been automatically processed by AutoTrain for project emotion-detection.
The BCP-47 code for the dataset's language is en.
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"
}
]
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)"
}
This dataset is split into a train and validation split. The split sizes are as follow:
Split name | Num samples |
---|---|
train | 31995 |
valid | 8005 |