jasonrichdarmawan/nllb-primary-datasets-public-data-embedding
收藏Hugging Face2025-09-24 更新2025-10-25 收录
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https://hf-mirror.com/datasets/jasonrichdarmawan/nllb-primary-datasets-public-data-embedding
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资源简介:
该数据集包含了文本对及其对应的语言信息和嵌入向量。具体来说,每个样本包括两个文本(text_1和text_2)、两个语言标识(lang_1和lang_2)以及两个1024维的浮点数嵌入向量(embedding_1和embedding_2)。数据集的用途之一是训练模型,其中模型输入为嵌入向量,这样可以节省计算资源。
The dataset includes text pairs along with their corresponding language information and embedding vectors. Specifically, each sample consists of two texts (text_1 and text_2), two language identifiers (lang_1 and lang_2), and two 1024-dimensional float embedding vectors (embedding_1 and embedding_2). One of the use cases of this dataset is training models with embeddings as input, which can save computational resources.
提供机构:
jasonrichdarmawan



