ayuhamaro/ner-model-tune

---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- zh
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
paperswithcode_id: nlp-model-tune
pretty_name: NER Model Tune
train-eval-index:
- config: default
task: token-classification
task_id: entity_extraction
splits:
train_split: train
eval_split: test
col_mapping:
tokens: tokens
ner_tags: tags
metrics:
- type: seqeval
name: seqeval
dataset_info:
features:
- name: id
dtype: string
- name: tokens
sequence: string
- name: ner_tags
sequence:
class_label:
names:
'0': O,
'1': B-CARDINAL,
'2': B-DATE,
'3': B-EVENT,
'4': B-FAC,
'5': B-GPE,
'6': B-LANGUAGE,
'7': B-LAW,
'8': B-LOC,
'9': B-MONEY,
'10': B-NORP,
'11': B-ORDINAL,
'12': B-ORG,
'13': B-PERCENT,
'14': B-PERSON,
'15': B-PRODUCT,
'16': B-QUANTITY,
'17': B-TIME,
'18': B-WORK_OF_ART,
'19': I-CARDINAL,
'20': I-DATE,
'21': I-EVENT,
'22': I-FAC,
'23': I-GPE,
'24': I-LANGUAGE,
'25': I-LAW,
'26': I-LOC,
'27': I-MONEY,
'28': I-NORP,
'29': I-ORDINAL,
'30': I-ORG,
'31': I-PERCENT,
'32': I-PERSON,
'33': I-PRODUCT,
'34': I-QUANTITY,
'35': I-TIME,
'36': I-WORK_OF_ART,
'37': E-CARDINAL,
'38': E-DATE,
'39': E-EVENT,
'40': E-FAC,
'41': E-GPE,
'42': E-LANGUAGE,
'43': E-LAW,
'44': E-LOC,
'45': E-MONEY,
'46': E-NORP,
'47': E-ORDINAL,
'48': E-ORG,
'49': E-PERCENT,
'50': E-PERSON,
'51': E-PRODUCT,
'52': E-QUANTITY,
'53': E-TIME,
'54': E-WORK_OF_ART,
'55': S-CARDINAL,
'56': S-DATE,
'57': S-EVENT,
'58': S-FAC,
'59': S-GPE,
'60': S-LANGUAGE,
'61': S-LAW,
'62': S-LOC,
'63': S-MONEY,
'64': S-NORP,
'65': S-ORDINAL,
'66': S-ORG,
'67': S-PERCENT,
'68': S-PERSON,
'69': S-PRODUCT,
'70': S-QUANTITY,
'71': S-TIME,
'72': S-WORK_OF_ART
splits:
- name: train
num_bytes: 568
num_examples: 1
download_size: 568
dataset_size: 568
---

# Dataset Card for "NER Model Tune"

## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)

## Dataset Description

- **Homepage:** None
- **Repository:** https://huggingface.co/datasets/ayuhamaro/nlp-model-tune
- **Paper:** [More Information Needed]
- **Leaderboard:** [If the dataset supports an active leaderboard, add link here]()
- **Point of Contact:** [More Information Needed]

### Dataset Summary

[More Information Needed]

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]
## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

[More Information Needed]

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

[More Information Needed]

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]
### Contributions

原始信息汇总

数据集概述

• 名称: NER Model Tune
• 语言: 中文 (zh)
• 许可证: 未知
• 多语言性: 单语种
• 大小: 1K<n<10K
• 源数据集: 原始数据
• 任务类别: 词元分类
• 任务ID: 命名实体识别

数据集结构

• 特征:

  • id: 字符串类型
  • tokens: 字符串序列类型
  • ner_tags: 序列类型，包含以下类别：
    • 0: O
    • 1: B-CARDINAL
    • ...
    • 72: S-WORK_OF_ART

• 数据分割:

  • train: 1个样本，568字节
  • eval: 未明确列出

• 训练与评估索引:

  • 配置: 默认
  • 任务: 词元分类
  • 任务ID: 实体提取
  • 分割:
    • 训练分割: train
    • 评估分割: test
  • 列映射:
    • tokens: tokens
    • ner_tags: tags
  • 指标:
    • 类型: seqeval
    • 名称: seqeval