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amuvarma/humanml3d-flat-train_dedup

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Hugging Face2025-02-07 更新2025-02-15 收录
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https://hf-mirror.com/datasets/amuvarma/humanml3d-flat-train_dedup
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资源简介:
该数据集包含两个主要特征:句子文本和对应的向量量化编码。句子文本是以字符串形式存储的,而向量量化编码是以整数序列的形式存储的。数据集被划分为训练集,共有69872个样本,文件大小为约18.7MB。数据集的具体内容和用途在README文件中未明确说明。

The dataset includes two main features: sentence text and its corresponding vector quantization encoding. The sentence text is stored in string format, while the vector quantization encoding is stored as a sequence of integers. The dataset is split into a training set with a total of 69872 samples, with a file size of approximately 18.7MB. The specific content and purpose of the dataset are not explicitly stated in the README file.
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amuvarma
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