FastText-CC
收藏arXiv2025-09-30 收录
下载链接：
https://fasttext.cc/docs/en/crawl-vectors.html
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资源简介：
该数据集为300维的FastText嵌入模型，该模型在经过筛选和去重处理的Common Crawl数据集上进行了预训练。FastText嵌入在低资源自然语言处理任务中得到了广泛应用。该数据集的规模基于筛选和去重后的Common Crawl数据，其研究任务是对青少年在人工智能表征中的偏见分析。
This dataset is a 300-dimensional FastText embedding model pre-trained on the filtered and deduplicated Common Crawl dataset. FastText embeddings have been widely adopted in low-resource natural language processing (NLP) tasks. The scale of its training corpus is based on the filtered and deduplicated Common Crawl data, and the corresponding research task focuses on bias analysis of adolescents in artificial intelligence representations.
提供机构：
Common Crawl
