README.md

---
task_categories:
- text-classification
license: cc0-1.0
language:
- en
pretty_name: Emoji Suggestion Dataset
---
# AutoTrain Dataset for project: emoji-v3

## Dataset Description

This dataset has been automatically processed by AutoTrain for project emoji-v3.

The dataset this was trained on has had it's emoji's replaced with the unicode characters rather than an index, which required a seperate file to map the indices to.
The dataset was further modified in the following ways:
* The "US" emoji was removed, as it serves very little purpose in general conversation.
* The dataset was deduped
* The amount of times each emoji appears in the dataset is more or less even to all the others; preventing the model from becoming heavily biased on the emojis that appear more often in training data.

Based on:
https://huggingface.co/datasets/adorkin/extended_tweet_emojis

### Languages

The BCP-47 code for the dataset's language is unk.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "text": "CONGRATULATIONS MY LIL KIMCHI!!!! so excited to see what God has in store for you two \u2026",
    "target": 5
  },
  {
    "text": "Let the jingle bell rock #dare2livefree #theabundancevibe @ Jack London Square",
    "target": 4
  }
]
```

### Dataset Fields

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

```json
{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['\u2600', '\u2639\ufe0f', '\u2728', '\u2764', '\ud83c\udf84', '\ud83d\udc95', '\ud83d\udc99', '\ud83d\udc9c', '\ud83d\udca2', '\ud83d\udcaf', '\ud83d\udcf7', '\ud83d\udcf8', '\ud83d\udd25', '\ud83d\ude01', '\ud83d\ude02', '\ud83d\ude09', '\ud83d\ude0a', '\ud83d\ude0d', '\ud83d\ude0e', '\ud83d\ude14', '\ud83d\ude18', '\ud83d\ude1c', '\ud83d\ude20', '\ud83d\ude21', '\ud83d\ude24', '\ud83d\ude29', '\ud83d\ude2d', '\ud83d\ude33', '\ud83d\ude43', '\ud83d\ude44', '\ud83d\ude48'], 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        | 2046 |
| valid        | 515 |