OTAR3088/BioNLP_Filtered

BioNLP2004 Filtered数据集是对原始tner/bionlp2004数据集的改编版本，专门针对项目需求，专注于CellLine和CellType实体。原始数据集是一个生物医学领域的命名实体识别（NER）数据集，标注了多种实体类型，如DNA、Protein、Cell_type、Cell_line和RNA。此改编版本进行了以下修改：1. **实体过滤**：仅保留CellLine和CellType实体，其他原始实体类型（DNA、Protein、RNA）被转换为O（Outside）标签。2. **命名变更**：保留的实体命名约定已更新以符合项目特定样式。例如，原始数据集中的cell_line实体现在表示为CellLine，cell_type为CellType。数据集结构包含三个部分：train、test和validation。每个示例包含tokens（句子中的标记列表）和tags（每个标记的IOB标签列表，标签仅限于O、B-CellLine、I-CellLine、B-CellType和I-CellType）。

The BioNLP2004 Filtered dataset is an adaptation of the original tner/bionlp2004 dataset, specifically tailored for project needs focusing on CellLine and CellType entities. The original dataset is a named entity recognition (NER) dataset in the biomedical domain, annotated with various entity types such as DNA, Protein, Cell_type, Cell_line, and RNA. This adapted version has undergone the following modifications: 1. **Entity Filtering**: The dataset has been filtered to retain only CellLine and CellType entities. All other original entity types (DNA, Protein, RNA) have been converted to the O (Outside) tag. 2. **Nomenclature Change**: The naming convention for the retained entities has been updated to align with project-specific styling. For instance, cell_line entities from the original dataset are now represented as CellLine, and cell_type as CellType. The dataset consists of three splits: train, test, and validation. Each example contains tokens (a list of strings representing the tokens in a sentence) and tags (a list of strings representing the IOB tags for each token, limited to O, B-CellLine, I-CellLine, B-CellType, and I-CellType).