shreyas-singh/autotrain-data-MedicalTokenClassification

该数据集通过AutoTrain自动处理，用于MedicalTokenClassification项目。数据集包含训练和验证两个分割，每个样本包含feat_id、tokens、feat_pos_tags、feat_chunk_tags和tags等字段。数据集的语言代码为unk，表示语言未知。训练集包含10014个样本，验证集包含4028个样本。

原始信息汇总

AutoTrain Dataset for project: MedicalTokenClassification

数据集描述

• 语言: 数据集的语言BCP-47代码为unk。

数据集结构

数据实例

数据集中的样本示例如下：

json [ { "feat_id": "13104", "tokens": [ "Jackie", "Frank" ], "feat_pos_tags": [ 21, 21 ], "feat_chunk_tags": [ 5, 16 ], "tags": [ 3, 7 ] }, { "feat_id": "9297", "tokens": [ "U.S.", "lauds", "Russian-Chechen", "deal", "." ], "feat_pos_tags": [ 21, 20, 15, 20, 7 ], "feat_chunk_tags": [ 5, 16, 16, 16, 22 ], "tags": [ 0, 8, 1, 8, 8 ] } ]

数据集字段

数据集包含以下字段：

json { "feat_id": "Value(dtype=string, id=None)", "tokens": "Sequence(feature=Value(dtype=string, id=None), length=-1, id=None)", "feat_pos_tags": "Sequence(feature=ClassLabel(num_classes=47, names=[", #, $, "", (, ), ,, ., :, CC, CD, DT, EX, FW, IN, JJ, JJR, JJS, LS, MD, NN, NNP, NNPS, NNS, NN|SYM, PDT, POS, PRP, PRP$, RB, RBR, RBS, RP, SYM, TO, UH, VB, VBD, VBG, VBN, VBP, VBZ, WDT, WP, WP$, WRB, ``], id=None), length=-1, id=None)", "feat_chunk_tags": "Sequence(feature=ClassLabel(num_classes=23, names=[B-ADJP, B-ADVP, B-CONJP, B-INTJ, B-LST, B-NP, B-PP, B-PRT, B-SBAR, B-UCP, B-VP, I-ADJP, I-ADVP, I-CONJP, I-INTJ, I-LST, I-NP, I-PP, I-PRT, I-SBAR, I-UCP, I-VP, O], id=None), length=-1, id=None)", "tags": "Sequence(feature=ClassLabel(num_classes=9, names=[B-LOC, B-MISC, B-ORG, B-PER, I-LOC, I-MISC, I-ORG, I-PER, O], id=None), length=-1, id=None)" }

数据集分割

数据集被分割为训练集和验证集，分割大小如下：

分割名称	样本数量
训练	10014
验证	4028