nlpso/m0_qualitative_analysis_ref_cmbert_io

---
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")

原始信息汇总

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")