ws-pos-model-tune / README.md
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---
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