README.md

metadata

dataset_info:
  - config_name: emojis
    features:
      - name: emoji
        dtype: string
      - name: unicode_description
        dtype: string
    splits:
      - name: train
        num_bytes: 233973
        num_examples: 5034
    download_size: 78448
    dataset_size: 233973
  - config_name: hermes-405b-madmon
    features:
      - name: emoji
        dtype: string
      - name: unicode_description
        dtype: string
      - name: unicode_embedding
        sequence:
          sequence: float64
      - name: llm_description
        sequence: string
      - name: llm_embedding
        sequence:
          sequence: float64
    splits:
      - name: train
        num_bytes: 400156019
        num_examples: 5034
    download_size: 304022622
    dataset_size: 400156019
  - config_name: llama-3.1-8b-all-MiniLM-L12-v2
    features:
      - name: emoji
        dtype: string
      - name: unicode_description
        dtype: string
      - name: unicode_embedding_all-MiniLM-L12-v2
        sequence:
          sequence: float64
      - name: llm_description
        sequence: string
      - name: llm_embedding_all-MiniLM-L12-v2
        sequence:
          sequence: float64
    splits:
      - name: train
        num_bytes: 139610402
        num_examples: 5034
    download_size: 106656533
    dataset_size: 139610402
  - config_name: llama-3.1-8b-all-mpnet-base-v2
    features:
      - name: emoji
        dtype: string
      - name: unicode_description
        dtype: string
      - name: unicode_embedding_all-mpnet-base-v2
        sequence:
          sequence: float64
      - name: llm_description
        sequence: string
      - name: llm_embedding_all-mpnet-base-v2
        sequence:
          sequence: float64
    splits:
      - name: train
        num_bytes: 276191522
        num_examples: 5034
    download_size: 209772862
    dataset_size: 276191522
  - config_name: llama-3.1-8b-madmon
    features:
      - name: emoji
        dtype: string
      - name: unicode_description
        dtype: string
      - name: llm_description
        sequence: string
      - name: llm_embedding
        sequence:
          sequence: float64
    splits:
      - name: train
        num_bytes: 245222354
        num_examples: 5034
    download_size: 188683810
    dataset_size: 245222354
  - config_name: llama-3.1-8b-madmon-medium
    features:
      - name: emoji
        dtype: string
      - name: unicode_description
        dtype: string
      - name: unicode_embedding_madmon-medium
        sequence:
          sequence: float64
      - name: llm_description
        sequence: string
      - name: llm_embedding_madmon-medium
        sequence:
          sequence: float64
    splits:
      - name: train
        num_bytes: 276191522
        num_examples: 5034
    download_size: 209363879
    dataset_size: 276191522
  - config_name: llama-3.1-8b-paraphrase-multilingual-MiniLM-L12-v2
    features:
      - name: emoji
        dtype: string
      - name: unicode_description
        dtype: string
      - name: unicode_embedding_paraphrase-multilingual-MiniLM-L12-v2
        sequence:
          sequence: float64
      - name: llm_description
        sequence: string
      - name: llm_embedding_paraphrase-multilingual-MiniLM-L12-v2
        sequence:
          sequence: float64
    splits:
      - name: train
        num_bytes: 139610402
        num_examples: 5034
    download_size: 106421454
    dataset_size: 139610402
  - config_name: llama-3.1-8b-paraphrase-multilingual-mpnet-base-v2
    features:
      - name: emoji
        dtype: string
      - name: unicode_description
        dtype: string
      - name: unicode_embedding_paraphrase-multilingual-mpnet-base-v2
        sequence:
          sequence: float64
      - name: llm_description
        sequence: string
      - name: llm_embedding_paraphrase-multilingual-mpnet-base-v2
        sequence:
          sequence: float64
    splits:
      - name: train
        num_bytes: 276191522
        num_examples: 5034
    download_size: 209297994
    dataset_size: 276191522
configs:
  - config_name: emojis
    data_files:
      - split: train
        path: emojis/train-*
  - config_name: hermes-405b-madmon
    data_files:
      - split: train
        path: hermes-405b-madmon/train-*
  - config_name: llama-3.1-8b-all-MiniLM-L12-v2
    data_files:
      - split: train
        path: llama-3.1-8b-all-MiniLM-L12-v2/train-*
  - config_name: llama-3.1-8b-all-mpnet-base-v2
    data_files:
      - split: train
        path: llama-3.1-8b-all-mpnet-base-v2/train-*
  - config_name: llama-3.1-8b-madmon
    data_files:
      - split: train
        path: llama-3.1-8b-madmon/train-*
  - config_name: llama-3.1-8b-madmon-medium
    data_files:
      - split: train
        path: llama-3.1-8b-madmon-medium/train-*
  - config_name: llama-3.1-8b-paraphrase-multilingual-MiniLM-L12-v2
    data_files:
      - split: train
        path: llama-3.1-8b-paraphrase-multilingual-MiniLM-L12-v2/train-*
  - config_name: llama-3.1-8b-paraphrase-multilingual-mpnet-base-v2
    data_files:
      - split: train
        path: llama-3.1-8b-paraphrase-multilingual-mpnet-base-v2/train-*

📊 Dataset Overview

The emoji-map dataset, created by omarkamali, contains text data in parquet format. It consists of 10K-100K entries, specifically 5.03k rows. The dataset is available in the train split.

📁 Data Structure

The dataset includes two main columns: emoji and unicode_description. The emoji column contains various emoji characters, while the unicode_description column provides a textual description of each emoji.

🔍 Sample Data

Examples from the dataset include:

• 🥇: 1st place medal
• 🥈: 2nd place medal
• 🥉: 3rd place medal
• 🆎: AB button (blood type)
• 🏧: ATM sign

📈 Data Distribution

The emoji column displays a diverse range of emojis, with a length distribution from 1 to 10 characters. The unicode_description column varies in length from 2 to 76 characters, providing detailed descriptions.

📚 Usage

This dataset is ideal for projects involving emoji analysis, natural language processing, and Unicode character mapping. It can be used to enhance applications requiring emoji descriptions or for educational purposes in understanding emoji usage.