ayuhamaro/ws-pos-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: ws-pos-model-tune
pretty_name: WS POS 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: ws_tags
sequence:
class_label:
names:
'0': B,
'1': I
- name: pos_tags
sequence:
class_label:
names:
'0': A,
'1': Caa,
'2': Cab,
'3': Cba,
'4': Cbb,
'5': D,
'6': Da,
'7': Dfa,
'8': Dfb,
'9': Di,
'10': Dk,
'11': DM,
'12': I,
'13': Na,
'14': Nb,
'15': Nc,
'16': Ncd,
'17': Nd,
'18': Nep,
'19': Neqa,
'20': Neqb,
'21': Nes,
'22': Neu,
'23': Nf,
'24': Ng,
'25': Nh,
'26': Nv,
'27': P,
'28': T,
'29': VA,
'30': VAC,
'31': VB,
'32': VC,
'33': VCL,
'34': VD,
'35': VF,
'36': VE,
'37': VG,
'38': VH,
'39': VHC,
'40': VI,
'41': VJ,
'42': VK,
'43': VL,
'44': V_2,
'45': DE,
'46': SHI,
'47': FW,
'48': COLONCATEGORY,
'49': COMMACATEGORY,
'50': DASHCATEGORY,
'51': DOTCATEGORY,
'52': ETCCATEGORY,
'53': EXCLAMATIONCATEGORY,
'54': PARENTHESISCATEGORY,
'55': PAUSECATEGORY,
'56': PERIODCATEGORY,
'57': QUESTIONCATEGORY,
'58': SEMICOLONCATEGORY,
'59': SPCHANGECATEGORY
splits:
- name: train
num_bytes: 1024
num_examples: 1
download_size: 1024
dataset_size: 1024
---

# Dataset Card for "WS POS 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

基本信息

• 名称: WS POS Model Tune
• 语言: 中文 (zh)
• 许可证: 未知
• 多语言性: 单语种
• 数据集大小: 1K<n<10K
• 来源: 原始数据

任务与指标

• 任务类别: 词性标注 (token-classification)
• 具体任务: 命名实体识别 (named-entity-recognition)
• 训练与评估设置:
  • 配置: 默认
  • 任务: 词性标注
  • 任务ID: entity_extraction
  • 数据分割:
    • 训练集: train
    • 评估集: test
  • 列映射:
    • 词汇: tokens
    • 词性标签: tags
  • 评估指标: seqeval

数据集结构

• 特征:
  • id: 字符串类型
  • tokens: 字符串序列
  • ws_tags: 标签序列，包含类别:
    • B
    • I
  • pos_tags: 标签序列，包含类别:
    • A, Caa, Cab, Cba, Cbb, D, Da, Dfa, Dfb, Di, Dk, DM, I, Na, Nb, Nc, Ncd, Nd, Nep, Neqa, Neqb, Nes, Neu, Nf, Ng, Nh, Nv, P, T, VA, VAC, VB, VC, VCL, VD, VF, VE, VG, VH, VHC, VI, VJ, VK, VL, V_2, DE, SHI, FW, COLONCATEGORY, COMMACATEGORY, DASHCATEGORY, DOTCATEGORY, ETCCATEGORY, EXCLAMATIONCATEGORY, PARENTHESISCATEGORY, PAUSECATEGORY, PERIODCATEGORY, QUESTIONCATEGORY, SEMICOLONCATEGORY, SPCHANGECATEGORY

数据分割

• 训练集:
  • 字节数: 1024
  • 示例数: 1
• 下载大小: 1024
• 数据集大小: 1024