--- 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.