
# Dataset Card for KorNER

## 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:** [Github](https://github.com/kmounlp/NER)
- **Repository:** [Github](https://github.com/kmounlp/NER)
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### 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

Each row consists of the following fields:

- `text`: The full text, as is
- `annot_text`: Annotated text including POS-tagged information
- `tokens`: An ordered list of tokens from the full text
- `pos_tags`: Part-of-speech tags for each token
- `ner_tags`: Named entity recognition tags for each token

Note that by design, the length of `tokens`, `pos_tags`, and `ner_tags` will always be identical.

`pos_tags` corresponds to the list below:

```
['SO', 'SS', 'VV', 'XR', 'VCP', 'JC', 'VCN', 'JKB', 'MM', 'SP', 'XSN', 'SL', 'NNP', 'NP', 'EP', 'JKQ', 'IC', 'XSA', 'EC', 'EF', 'SE', 'XPN', 'ETN', 'SH', 'XSV', 'MAG', 'SW', 'ETM', 'JKO', 'NNB', 'MAJ', 'NNG', 'JKV', 'JKC', 'VA', 'NR', 'JKG', 'VX', 'SF', 'JX', 'JKS', 'SN']
```

`ner_tags` correspond to the following:

```
["I", "O", "B_OG", "B_TI", "B_LC", "B_DT", "B_PS"]
```

The prefix `B` denotes the first item of a phrase, and an `I` denotes any non-initial word. In addition, `OG` represens an organization; `TI`, time; `DT`, date, and `PS`, person.

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### 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

Thanks to [@jaketae](https://github.com/jaketae) for adding this dataset.
task_categories:token-classification task_ids:named-entity-recognition annotations_creators:expert-generated language_creators:other multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:ko license:mit region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["other"], "language": ["ko"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["token-classification"], "task_ids": ["named-entity-recognition"], "pretty_name": "KorNER", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "annot_text", "dtype": "string"}, {"name": "tokens", "sequence": "string"}, {"name": "pos_tags", "sequence": {"class_label": {"names": {"0": "SO", "1": "SS", "2": "VV", "3": "XR", "4": "VCP", "5": "JC", "6": "VCN", "7": "JKB", "8": "MM", "9": "SP", "10": "XSN", "11": "SL", "12": "NNP", "13": "NP", "14": "EP", "15": "JKQ", "16": "IC", "17": "XSA", "18": "EC", "19": "EF", "20": "SE", "21": "XPN", "22": "ETN", "23": "SH", "24": "XSV", "25": "MAG", "26": "SW", "27": "ETM", "28": "JKO", "29": "NNB", "30": "MAJ", "31": "NNG", "32": "JKV", "33": "JKC", "34": "VA", "35": "NR", "36": "JKG", "37": "VX", "38": "SF", "39": "JX", "40": "JKS", "41": "SN"}}}}, {"name": "ner_tags", "sequence": {"class_label": {"names": {"0": "I", "1": "O", "2": "B_OG", "3": "B_TI", "4": "B_LC", "5": "B_DT", "6": "B_PS"}}}}], "splits": [{"name": "train", "num_bytes": 3948938, "num_examples": 2928}, {"name": "test", "num_bytes": 476850, "num_examples": 366}, {"name": "validation", "num_bytes": 486178, "num_examples": 366}], "download_size": 3493175, "dataset_size": 4911966}}
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Korean #license-mit #region-us 


# Dataset Card for KorNER

## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Homepage: Github
- Repository: Github
- Paper:
- Leaderboard:
- Point of Contact:

### Dataset Summary



### Supported Tasks and Leaderboards



### Languages



## Dataset Structure

### Data Instances



### Data Fields

Each row consists of the following fields:

- 'text': The full text, as is
- 'annot_text': Annotated text including POS-tagged information
- 'tokens': An ordered list of tokens from the full text
- 'pos_tags': Part-of-speech tags for each token
- 'ner_tags': Named entity recognition tags for each token

Note that by design, the length of 'tokens', 'pos_tags', and 'ner_tags' will always be identical.

'pos_tags' corresponds to the list below:



'ner_tags' correspond to the following:



The prefix 'B' denotes the first item of a phrase, and an 'I' denotes any non-initial word. In addition, 'OG' represens an organization; 'TI', time; 'DT', date, and 'PS', person.

### Data Splits



## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information







### Contributions

Thanks to @jaketae for adding this dataset.
# Dataset Card for KorNER ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: Github
- Repository: Github
- Paper:
- Leaderboard:
- Point of Contact: ### Dataset Summary ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields

Each row consists of the following fields:

- 'text': The full text, as is
- 'annot_text': Annotated text including POS-tagged information
- 'tokens': An ordered list of tokens from the full text
- 'pos_tags': Part-of-speech tags for each token
- 'ner_tags': Named entity recognition tags for each token

Note that by design, the length of 'tokens', 'pos_tags', and 'ner_tags' will always be identical.

'pos_tags' corresponds to the list below:



'ner_tags' correspond to the following:



The prefix 'B' denotes the first item of a phrase, and an 'I' denotes any non-initial word. In addition, 'OG' represens an organization; 'TI', time; 'DT', date, and 'PS', person. ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions

Thanks to @jaketae for adding this dataset.
TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Korean #license-mit #region-us 
 # Dataset Card for KorNER ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: Github
- Repository: Github
- Paper:
- Leaderboard:
- Point of Contact: ### Dataset Summary ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields

Each row consists of the following fields:

- 'text': The full text, as is
- 'annot_text': Annotated text including POS-tagged information
- 'tokens': An ordered list of tokens from the full text
- 'pos_tags': Part-of-speech tags for each token
- 'ner_tags': Named entity recognition tags for each token

Note that by design, the length of 'tokens', 'pos_tags', and 'ner_tags' will always be identical.

'pos_tags' corresponds to the list below:



'ner_tags' correspond to the following:



The prefix 'B' denotes the first item of a phrase, and an 'I' denotes any non-initial word. In addition, 'OG' represens an organization; 'TI', time; 'DT', date, and 'PS', person. ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information ### Contributions

Thanks to @jaketae for adding this dataset.
passage: TAGS
#task_categories-token-classification #task_ids-named-entity-recognition #annotations_creators-expert-generated #language_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Korean #license-mit #region-us 
# Dataset Card for KorNER## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions## Dataset Description

- Homepage: Github
- Repository: Github
- Paper:
- Leaderboard:
- Point of Contact:### Dataset Summary### Supported Tasks and Leaderboards### Languages## Dataset Structure### Data Instances### Data Fields

Each row consists of the following fields:

- 'text': The full text, as is
- 'annot_text': Annotated text including POS-tagged information
- 'tokens': An ordered list of tokens from the full text
- 'pos_tags': Part-of-speech tags for each token
- 'ner_tags': Named entity recognition tags for each token

Note that by design, the length of 'tokens', 'pos_tags', and 'ner_tags' will always be identical.

'pos_tags' corresponds to the list below:



'ner_tags' correspond to the following:



The prefix 'B' denotes the first item of a phrase, and an 'I' denotes any non-initial word. In addition, 'OG' represens an organization; 'TI', time; 'DT', date, and 'PS', person.### Data Splits## Dataset Creation