Nofing/CausalTimeBank-standard-eci

该数据集是一个用于自然语言处理任务的数据集，可能专注于因果关系分析。它包含183个训练样本，每个样本具有以下特征：唯一标识符(id)、文档索引(doc_idx)、分词后的tokens列表、提及(mentions)列表、跨度(spans)列表（表示文本中的位置）、关系(relations)结构（包括原因(causes)和导致(causedby)的列表）、句子分割(sentences)列表、配对列表(pair_list)、原始文本(text)和标注信息(annots)。数据集旨在支持实体提及、关系抽取（特别是因果关系识别）以及文本分割任务，适用于训练和评估NLP模型。

This dataset is designed for natural language processing tasks, likely focusing on causal relationship analysis. It contains 183 training examples, each with features including a unique identifier (id), document index (doc_idx), a list of tokens, mentions, spans (indicating text positions), a relations structure (with lists for causes and causedby), sentence segmentation (sentences), a pair list, raw text (text), and annotations (annots). The dataset is intended to support entity mention, relation extraction (particularly causal relations), and text segmentation tasks, suitable for training and evaluating NLP models.