ELMo

该数据集是由ELMo模型生成的上下文嵌入，该模型由堆叠的双向LSTM组成，这些LSTM在前向和后向语言建模目标上进行训练。此外，该模型采用了两层表示，探查重点放在第二层，这一层编码了更加抽象和语义信息。该任务的目的是探究ELMo中上下文信息编码的情况。

This dataset consists of contextual embeddings generated by the ELMo model, which is composed of stacked bidirectional LSTMs trained on both forward and backward language modeling objectives. Furthermore, the model adopts a two-layer representation, and the investigation focuses on the second layer, which encodes more abstract and semantic information. The purpose of this task is to explore the encoding of contextual information within ELMo.