
# Dataset Card for [KOR-RE-natures-and-environments]

You can find relation map, guidelines(written in Korean), short technical papers in this [github repo](https://github.com/boostcampaitech3/level2-data-annotation_nlp-level2-nlp-03). This work is done by as part of project for Boostcamp AI Tech supported by Naver Connect Foundation.

### Dataset Description
* Language: Korean
* Task: Relation Extraction
* Topics: Natures and Environments
* Sources: Korean wiki


### Main Data Fields
* Sentences: sentences
* Subject_entity: infos for subject entity in the sentence including words, start index, end index, type of entity
* object_entity: infos for object entity in the sentence including words, start index, end index, type of entity
* label : class ground truth label
* file : name of the file

license:apache-2.0 region:us
{"license": "apache-2.0"}
TAGS
#license-apache-2.0 #region-us 


# Dataset Card for [KOR-RE-natures-and-environments]

You can find relation map, guidelines(written in Korean), short technical papers in this github repo. This work is done by as part of project for Boostcamp AI Tech supported by Naver Connect Foundation.

### Dataset Description
* Language: Korean
* Task: Relation Extraction
* Topics: Natures and Environments
* Sources: Korean wiki


### Main Data Fields
* Sentences: sentences
* Subject_entity: infos for subject entity in the sentence including words, start index, end index, type of entity
* object_entity: infos for object entity in the sentence including words, start index, end index, type of entity
* label : class ground truth label
* file : name of the file

# Dataset Card for [KOR-RE-natures-and-environments]

You can find relation map, guidelines(written in Korean), short technical papers in this github repo. This work is done by as part of project for Boostcamp AI Tech supported by Naver Connect Foundation. ### Dataset Description
* Language: Korean
* Task: Relation Extraction
* Topics: Natures and Environments
* Sources: Korean wiki ### Main Data Fields
* Sentences: sentences
* Subject_entity: infos for subject entity in the sentence including words, start index, end index, type of entity
* object_entity: infos for object entity in the sentence including words, start index, end index, type of entity
* label : class ground truth label
* file : name of the file
TAGS
#license-apache-2.0 #region-us 
 # Dataset Card for [KOR-RE-natures-and-environments]

You can find relation map, guidelines(written in Korean), short technical papers in this github repo. This work is done by as part of project for Boostcamp AI Tech supported by Naver Connect Foundation. ### Dataset Description
* Language: Korean
* Task: Relation Extraction
* Topics: Natures and Environments
* Sources: Korean wiki ### Main Data Fields
* Sentences: sentences
* Subject_entity: infos for subject entity in the sentence including words, start index, end index, type of entity
* object_entity: infos for object entity in the sentence including words, start index, end index, type of entity
* label : class ground truth label
* file : name of the file