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---
dataset_info:
- config_name: categories
  features:
  - name: emoji
    dtype: string
  - name: category
    dtype: string
  - name: description_eng_Latn
    dtype: string
  - name: description_deu_Latn
    dtype: string
  - name: description_spa_Latn
    dtype: string
  - name: description_fra_Latn
    dtype: string
  - name: description_jpn_Jpan
    dtype: string
  - name: description_kor_Hang
    dtype: string
  - name: description_por_Latn
    dtype: string
  - name: description_ita_Latn
    dtype: string
  - name: description_fas_Arab
    dtype: string
  - name: description_ind_Latn
    dtype: string
  - name: description_zho_Hans
    dtype: string
  - name: description_rus_Cyrl
    dtype: string
  - name: description_tur_Latn
    dtype: string
  - name: description_ary_Latn
    dtype: string
  - name: description_arb_Arab
    dtype: string
  splits:
  - name: train
    num_bytes: 369762
    num_examples: 1199
  download_size: 242875
  dataset_size: 369762
- config_name: default
  features:
  - name: index
    dtype: int64
  - name: emoji
    dtype: string
  - name: category
    dtype: string
  - name: description_eng_Latn
    dtype: string
  - name: description_deu_Latn
    dtype: string
  - name: description_spa_Latn
    dtype: string
  - name: description_fra_Latn
    dtype: string
  - name: description_jpn_Jpan
    dtype: string
  - name: description_kor_Hang
    dtype: string
  - name: description_por_Latn
    dtype: string
  - name: description_ita_Latn
    dtype: string
  - name: description_fas_Arab
    dtype: string
  - name: description_ind_Latn
    dtype: string
  - name: description_zho_Hans
    dtype: string
  - name: description_rus_Cyrl
    dtype: string
  - name: description_tur_Latn
    dtype: string
  - name: description_ary_Latn
    dtype: string
  - name: description_arb_Arab
    dtype: string
  - name: is_multi_char
    dtype: bool
  splits:
  - name: train
    num_bytes: 3006492
    num_examples: 5044
  download_size: 818946
  dataset_size: 3006492
- 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
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- config_name: hermes-405b-all-MiniLM-L12-v2
  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:
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    num_bytes: 202094963
    num_examples: 5034
  download_size: 154354984
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- config_name: hermes-405b-all-mpnet-base-v2
  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
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- 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: hermes-405b-madmon-medium
  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: 304374195
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- config_name: hermes-405b-paraphrase-multilingual-MiniLM-L12-v2
  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: 202094963
    num_examples: 5034
  download_size: 153932076
  dataset_size: 202094963
- config_name: hermes-405b-paraphrase-multilingual-mpnet-base-v2
  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: 304234259
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- 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
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    num_examples: 5034
  download_size: 106656533
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- 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
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- 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: categories
  data_files:
  - split: train
    path: categories/train-*
- config_name: default
  data_files:
  - split: train
    path: data/train-*
- config_name: emojis
  data_files:
  - split: train
    path: emojis/train-*
- config_name: hermes-405b-all-MiniLM-L12-v2
  data_files:
  - split: train
    path: hermes-405b-all-MiniLM-L12-v2/train-*
- config_name: hermes-405b-all-mpnet-base-v2
  data_files:
  - split: train
    path: hermes-405b-all-mpnet-base-v2/train-*
- config_name: hermes-405b-madmon
  data_files:
  - split: train
    path: hermes-405b-madmon/train-*
- config_name: hermes-405b-madmon-medium
  data_files:
  - split: train
    path: hermes-405b-madmon-medium/train-*
- config_name: hermes-405b-paraphrase-multilingual-MiniLM-L12-v2
  data_files:
  - split: train
    path: hermes-405b-paraphrase-multilingual-MiniLM-L12-v2/train-*
- config_name: hermes-405b-paraphrase-multilingual-mpnet-base-v2
  data_files:
  - split: train
    path: hermes-405b-paraphrase-multilingual-mpnet-base-v2/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-*
---

# πŸ“Š 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.

# πŸ“ 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. 

# πŸ” Sample Data

Examples from the dataset include:
- πŸ₯‡: *1st place medal*
- πŸ₯ˆ: *2nd place medal*
- πŸ₯‰: *3rd place medal*
- πŸ†Ž: *AB button (blood type)*
- 🏧: *ATM sign*

# πŸ“ˆ 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.

# πŸ“š 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.