nlpso/m0_qualitative_analysis_ref_cmbert_io
收藏资源简介：
--- language: - fr multilinguality: - monolingual task_categories: - token-classification --- # m0_qualitative_analysis_ref_cmbert_io ## Introduction This dataset was used to perform **qualitative analysis** of [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) on **flat NER task** using Flat NER approach [M0]. It contains 19th-century Paris trade directories' entries. ## Dataset parameters * Approach : M0 * Dataset type : ground-truth * Tokenizer : [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) * Tagging format : IO * Counts : * Train : 6084 * Dev : 676 * Test : 1685 * Associated fine-tuned model : [nlpso/m0_flat_ner_ref_cmbert_io](https://huggingface.co/nlpso/m0_flat_ner_ref_cmbert_io) ## Entity types Abbreviation|Description -|- O |Outside of a named entity PER |Person or company name ACT |Person or company professional activity TITRE |Distinction LOC |Street name CARDINAL |Street number FT |Geographical feature ## How to use this dataset ```python from datasets import load_dataset train_dev_test = load_dataset("nlpso/m0_qualitative_analysis_ref_cmbert_io")
数据集概述：m0_qualitative_analysis_ref_cmbert_io
数据集描述
- 用途：用于对Jean-Baptiste/camembert-ner模型进行定性分析，专注于平面NER任务。
- 内容来源：包含19世纪巴黎贸易目录的条目。
数据集参数
- 方法：M0
- 类型：ground-truth
- 分词器：Jean-Baptiste/camembert-ner
- 标记格式：IO
- 数据集大小：
- 训练集：6084
- 验证集：676
- 测试集：1685
- 关联的微调模型：nlpso/m0_flat_ner_ref_cmbert_io
实体类型
- O：非实体部分
- PER：人名或公司名
- ACT：人或公司的职业活动
- TITRE：荣誉称号
- LOC：街道名
- CARDINAL：街道号码
- FT：地理特征
使用方法
python from datasets import load_dataset
train_dev_test = load_dataset("nlpso/m0_qualitative_analysis_ref_cmbert_io")
