task_categories:text-classification language:en region:us
---
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:

```json
[
  {
    "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"):

```json
{
  "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 |
