Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Korean
Size:
1K<n<10K
License:
annotations_creators: | |
- expert-generated | |
language_creators: | |
- other | |
languages: | |
- ko | |
licenses: | |
- mit | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 1K<n<10K | |
source_datasets: | |
- original | |
task_categories: | |
- structure-prediction | |
task_ids: | |
- named-entity-recognition | |
# Dataset Card for [Dataset Name] | |
## Table of Contents | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks](#supported-tasks-and-leaderboards) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-instances) | |
- [Data Splits](#data-instances) | |
- [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. |