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:

[
  {
    "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"):

{
  "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