pszemraj/local-emoji-search-gte

该数据集包含表情符号（emoji）、其文本描述以及使用Alibaba-NLP/gte-large-en-v1.5模型预计算的文本嵌入。这些数据用于表情符号的语义搜索。数据集的特征包括emoji、message和embed三个字段，分别表示表情符号、文本描述和嵌入向量。数据集分为一个训练集，包含3722个样本，文件大小为30665042字节。数据集的使用场景是语义搜索，特别是表情符号的语义搜索。README还提供了如何使用该数据集进行推理的示例代码，展示了如何加载数据集、使用SentenceTransformers模型进行语义搜索，并返回与查询最相关的表情符号。

This dataset contains emojis, their text descriptions, and precomputed text embeddings using the Alibaba-NLP/gte-large-en-v1.5 model. These data are used for emoji semantic search. The dataset features include three fields: emoji, message, and embed, representing the emoji, text description, and embedding vector, respectively. The dataset is divided into one training set containing 3722 samples, with a file size of 30665042 bytes. The use case of the dataset is semantic search, particularly for emoji semantic search. The README also provides example code on how to use the dataset for inference, demonstrating how to load the dataset, use the SentenceTransformers model for semantic search, and return the most relevant emojis for a query.