
# Dataset Card for "kor_nli"

## 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:** [https://github.com/kakaobrain/KorNLUDatasets](https://github.com/kakaobrain/KorNLUDatasets)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 126.34 MB
- **Size of the generated dataset:** 166.43 MB
- **Total amount of disk used:** 292.77 MB

### Dataset Summary

Korean Natural Language Inference datasets.

### Supported Tasks and Leaderboards

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Dataset Structure

### Data Instances

#### multi_nli

- **Size of downloaded dataset files:** 42.11 MB
- **Size of the generated dataset:** 84.72 MB
- **Total amount of disk used:** 126.85 MB

An example of 'train' looks as follows.
```

```

#### snli

- **Size of downloaded dataset files:** 42.11 MB
- **Size of the generated dataset:** 80.13 MB
- **Total amount of disk used:** 122.25 MB

An example of 'train' looks as follows.
```

```

#### xnli

- **Size of downloaded dataset files:** 42.11 MB
- **Size of the generated dataset:** 1.56 MB
- **Total amount of disk used:** 43.68 MB

An example of 'validation' looks as follows.
```

```

### Data Fields

The data fields are the same among all splits.

#### multi_nli
- `premise`: a `string` feature.
- `hypothesis`: a `string` feature.
- `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2).

#### snli
- `premise`: a `string` feature.
- `hypothesis`: a `string` feature.
- `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2).

#### xnli
- `premise`: a `string` feature.
- `hypothesis`: a `string` feature.
- `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2).

### Data Splits

#### multi_nli

|         |train |
|---------|-----:|
|multi_nli|392702|

#### snli

|    |train |
|----|-----:|
|snli|550152|

#### xnli

|    |validation|test|
|----|---------:|---:|
|xnli|      2490|5010|

## Dataset Creation

### Curation Rationale

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

The dataset is licensed under Creative Commons [Attribution-ShareAlike license (CC BY-SA 4.0)](http://creativecommons.org/licenses/by-sa/4.0/).

### Citation Information

```
@article{ham2020kornli,
  title={KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding},
  author={Ham, Jiyeon and Choe, Yo Joong and Park, Kyubyong and Choi, Ilji and Soh, Hyungjoon},
  journal={arXiv preprint arXiv:2004.03289},
  year={2020}
}

```


### Contributions

Thanks to [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.
task_categories:text-classification task_ids:natural-language-inference task_ids:multi-input-text-classification annotations_creators:crowdsourced language_creators:machine-generated language_creators:expert-generated multilinguality:monolingual size_categories:100K<n<1M source_datasets:extended|multi_nli source_datasets:extended|snli source_datasets:extended|xnli language:ko license:cc-by-sa-4.0 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["machine-generated", "expert-generated"], "language": ["ko"], "license": ["cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["extended|multi_nli", "extended|snli", "extended|xnli"], "task_categories": ["text-classification"], "task_ids": ["natural-language-inference", "multi-input-text-classification"], "paperswithcode_id": "kornli", "pretty_name": "KorNLI", "dataset_info": [{"config_name": "multi_nli", "features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2": "contradiction"}}}}], "splits": [{"name": "train", "num_bytes": 84729207, "num_examples": 392702}], "download_size": 42113232, "dataset_size": 84729207}, {"config_name": "snli", "features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2": "contradiction"}}}}], "splits": [{"name": "train", "num_bytes": 80137097, "num_examples": 550152}], "download_size": 42113232, "dataset_size": 80137097}, {"config_name": "xnli", "features": [{"name": "premise", "dtype": "string"}, {"name": "hypothesis", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "entailment", "1": "neutral", "2": "contradiction"}}}}], "splits": [{"name": "validation", "num_bytes": 518830, "num_examples": 2490}, {"name": "test", "num_bytes": 1047437, "num_examples": 5010}], "download_size": 42113232, "dataset_size": 1566267}]}
TAGS
#task_categories-text-classification #task_ids-natural-language-inference #task_ids-multi-input-text-classification #annotations_creators-crowdsourced #language_creators-machine-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|multi_nli #source_datasets-extended|snli #source_datasets-extended|xnli #language-Korean #license-cc-by-sa-4.0 #region-us 

Dataset Card for "kor\_nli"
===========================


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: URL
* Repository:
* Paper:
* Point of Contact:
* Size of downloaded dataset files: 126.34 MB
* Size of the generated dataset: 166.43 MB
* Total amount of disk used: 292.77 MB


### Dataset Summary


Korean Natural Language Inference datasets.


### Supported Tasks and Leaderboards


### Languages


Dataset Structure
-----------------


### Data Instances


#### multi\_nli


* Size of downloaded dataset files: 42.11 MB
* Size of the generated dataset: 84.72 MB
* Total amount of disk used: 126.85 MB


An example of 'train' looks as follows.


#### snli


* Size of downloaded dataset files: 42.11 MB
* Size of the generated dataset: 80.13 MB
* Total amount of disk used: 122.25 MB


An example of 'train' looks as follows.


#### xnli


* Size of downloaded dataset files: 42.11 MB
* Size of the generated dataset: 1.56 MB
* Total amount of disk used: 43.68 MB


An example of 'validation' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### multi\_nli


* 'premise': a 'string' feature.
* 'hypothesis': a 'string' feature.
* 'label': a classification label, with possible values including 'entailment' (0), 'neutral' (1), 'contradiction' (2).


#### snli


* 'premise': a 'string' feature.
* 'hypothesis': a 'string' feature.
* 'label': a classification label, with possible values including 'entailment' (0), 'neutral' (1), 'contradiction' (2).


#### xnli


* 'premise': a 'string' feature.
* 'hypothesis': a 'string' feature.
* 'label': a classification label, with possible values including 'entailment' (0), 'neutral' (1), 'contradiction' (2).


### Data Splits


#### multi\_nli



#### snli



#### xnli



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


The dataset is licensed under Creative Commons Attribution-ShareAlike license (CC BY-SA 4.0).


### Contributions


Thanks to @thomwolf, @lhoestq, @lewtun, @patrickvonplaten for adding this dataset.



### Dataset Summary


Korean Natural Language Inference datasets. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### multi\_nli


* Size of downloaded dataset files: 42.11 MB
* Size of the generated dataset: 84.72 MB
* Total amount of disk used: 126.85 MB


An example of 'train' looks as follows. #### snli


* Size of downloaded dataset files: 42.11 MB
* Size of the generated dataset: 80.13 MB
* Total amount of disk used: 122.25 MB


An example of 'train' looks as follows. #### xnli


* Size of downloaded dataset files: 42.11 MB
* Size of the generated dataset: 1.56 MB
* Total amount of disk used: 43.68 MB


An example of 'validation' looks as follows. ### Data Fields


The data fields are the same among all splits. #### multi\_nli


* 'premise': a 'string' feature.
* 'hypothesis': a 'string' feature.
* 'label': a classification label, with possible values including 'entailment' (0), 'neutral' (1), 'contradiction' (2). #### snli


* 'premise': a 'string' feature.
* 'hypothesis': a 'string' feature.
* 'label': a classification label, with possible values including 'entailment' (0), 'neutral' (1), 'contradiction' (2). #### xnli


* 'premise': a 'string' feature.
* 'hypothesis': a 'string' feature.
* 'label': a classification label, with possible values including 'entailment' (0), 'neutral' (1), 'contradiction' (2). ### Data Splits #### multi\_nli #### snli #### xnli



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


The dataset is licensed under Creative Commons Attribution-ShareAlike license (CC BY-SA 4.0). ### Contributions


Thanks to @thomwolf, @lhoestq, @lewtun, @patrickvonplaten for adding this dataset.
TAGS
#task_categories-text-classification #task_ids-natural-language-inference #task_ids-multi-input-text-classification #annotations_creators-crowdsourced #language_creators-machine-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|multi_nli #source_datasets-extended|snli #source_datasets-extended|xnli #language-Korean #license-cc-by-sa-4.0 #region-us 
 ### Dataset Summary


Korean Natural Language Inference datasets. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### multi\_nli


* Size of downloaded dataset files: 42.11 MB
* Size of the generated dataset: 84.72 MB
* Total amount of disk used: 126.85 MB


An example of 'train' looks as follows. #### snli


* Size of downloaded dataset files: 42.11 MB
* Size of the generated dataset: 80.13 MB
* Total amount of disk used: 122.25 MB


An example of 'train' looks as follows. #### xnli


* Size of downloaded dataset files: 42.11 MB
* Size of the generated dataset: 1.56 MB
* Total amount of disk used: 43.68 MB


An example of 'validation' looks as follows. ### Data Fields


The data fields are the same among all splits. #### multi\_nli


* 'premise': a 'string' feature.
* 'hypothesis': a 'string' feature.
* 'label': a classification label, with possible values including 'entailment' (0), 'neutral' (1), 'contradiction' (2). #### snli


* 'premise': a 'string' feature.
* 'hypothesis': a 'string' feature.
* 'label': a classification label, with possible values including 'entailment' (0), 'neutral' (1), 'contradiction' (2). #### xnli


* 'premise': a 'string' feature.
* 'hypothesis': a 'string' feature.
* 'label': a classification label, with possible values including 'entailment' (0), 'neutral' (1), 'contradiction' (2). ### Data Splits #### multi\_nli #### snli #### xnli



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


The dataset is licensed under Creative Commons Attribution-ShareAlike license (CC BY-SA 4.0). ### Contributions


Thanks to @thomwolf, @lhoestq, @lewtun, @patrickvonplaten for adding this dataset.
passage: TAGS
#task_categories-text-classification #task_ids-natural-language-inference #task_ids-multi-input-text-classification #annotations_creators-crowdsourced #language_creators-machine-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-extended|multi_nli #source_datasets-extended|snli #source_datasets-extended|xnli #language-Korean #license-cc-by-sa-4.0 #region-us 
### Dataset Summary


Korean Natural Language Inference datasets.### Supported Tasks and Leaderboards### Languages


Dataset Structure
-----------------### Data Instances#### multi\_nli


* Size of downloaded dataset files: 42.11 MB
* Size of the generated dataset: 84.72 MB
* Total amount of disk used: 126.85 MB


An example of 'train' looks as follows.#### snli


* Size of downloaded dataset files: 42.11 MB
* Size of the generated dataset: 80.13 MB
* Total amount of disk used: 122.25 MB


An example of 'train' looks as follows.#### xnli


* Size of downloaded dataset files: 42.11 MB
* Size of the generated dataset: 1.56 MB
* Total amount of disk used: 43.68 MB


An example of 'validation' looks as follows.### Data Fields


The data fields are the same among all splits.#### multi\_nli


* 'premise': a 'string' feature.
* 'hypothesis': a 'string' feature.
* 'label': a classification label, with possible values including 'entailment' (0), 'neutral' (1), 'contradiction' (2).