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Datasets:
lmqg
/
qg_koquad

Tasks:
Text Generation
Modalities:
Text
Sub-tasks:
language-modeling
Languages:
Korean
Size:
10K - 100K
ArXiv:
Tags:
question-generation
Libraries:
Datasets
License:
Dataset card Viewer Files Community
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qg_koquad
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---
license: cc-by-4-0
pretty_name: KorQuAD for question generation
languages: ko
multilinguality: monolingual
size_categories: 10K<n<100K
source_datasets: squad_es
task_categories: question-generation
task_ids: question-generation
---

# Dataset Card for "qg_korquad"

## 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)

## Dataset Description
- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)

### Dataset Summary
Modified version of [KorQuAD](https://huggingface.co./datasets/squad_kor_v1) for question generation (QG) task.
Since the original dataset only contains training/validation set, we manually sample test set from training set, which
has no overlap in terms of the paragraph with the training set.

### Supported Tasks and Leaderboards
* `question-generation`: The dataset can be used to train a model for question generation.
  Success on this task is typically measured by achieving a high BLEU4/METEOR/ROUGE-L score.

### Languages
Korean (ko)

## Dataset Structure
### Data Instances
#### plain_text
An example of 'train' looks as follows.
```
{
  "question": "ν•¨μˆ˜ν•΄μ„ν•™μ΄ μ£Όλͺ©ν•˜λŠ” νƒκ΅¬λŠ”?",
  "paragraph": "변화에 λŒ€ν•œ 이해와 λ¬˜μ‚¬λŠ” μžμ—°κ³Όν•™μ— μžˆμ–΄μ„œ 일반적인 주제이며, 미적뢄학은 λ³€ν™”λ₯Ό νƒκ΅¬ν•˜λŠ” κ°•λ ₯ν•œ λ„κ΅¬λ‘œμ„œ λ°œμ „λ˜μ—ˆλ‹€. ν•¨μˆ˜λŠ” λ³€ν™”ν•˜λŠ” 양을 λ¬˜μ‚¬ν•¨μ— μžˆμ–΄μ„œ 쀑좔적인 κ°œλ…μœΌλ‘œμ¨ λ– μ˜€λ₯΄κ²Œ λœλ‹€. μ‹€μˆ˜μ™€ μ‹€λ³€μˆ˜λ‘œ κ΅¬μ„±λœ ν•¨μˆ˜μ˜ μ—„λ°€ν•œ 탐ꡬ가 μ‹€ν•΄μ„ν•™μ΄λΌλŠ” λΆ„μ•Όλ‘œ μ•Œλ €μ§€κ²Œ λ˜μ—ˆκ³ , λ³΅μ†Œμˆ˜μ— λŒ€ν•œ 이와 같은 νƒκ΅¬λΆ„μ•ΌλŠ” λ³΅μ†Œν•΄μ„ν•™μ΄λΌκ³  ν•œλ‹€. ν•¨μˆ˜ν•΄μ„ν•™μ€ ν•¨μˆ˜μ˜ 곡간(특히 λ¬΄ν•œμ°¨μ›)의 탐ꡬ에 μ£Όλͺ©ν•œλ‹€. ν•¨μˆ˜ν•΄μ„ν•™μ˜ λ§Žμ€ μ‘μš©λΆ„μ•Ό 쀑 ν•˜λ‚˜κ°€ μ–‘μžμ—­ν•™μ΄λ‹€. λ§Žμ€ λ¬Έμ œλ“€μ΄ μžμ—°μŠ€λŸ½κ²Œ μ–‘κ³Ό κ·Έ μ–‘μ˜ λ³€ν™”μœ¨μ˜ κ΄€κ³„λ‘œ κ·€μ°©λ˜κ³ , μ΄λŸ¬ν•œ λ¬Έμ œλ“€μ΄ λ―ΈλΆ„λ°©μ •μ‹μœΌλ‘œ 닀루어진닀. μžμ—°μ˜ λ§Žμ€ ν˜„μƒλ“€μ΄ λ™μ—­ν•™κ³„λ‘œ 기술될 수 μžˆλ‹€. 혼돈 이둠은 μ΄λŸ¬ν•œ 예츑 λΆˆκ°€λŠ₯ν•œ ν˜„μƒμ„ νƒκ΅¬ν•˜λŠ” 데 μƒλ‹Ήν•œ κΈ°μ—¬λ₯Ό ν•œλ‹€.",
  "answer": "ν•¨μˆ˜μ˜ 곡간(특히 λ¬΄ν•œμ°¨μ›)의 탐ꡬ",
  "sentence": "ν•¨μˆ˜ν•΄μ„ν•™μ€ ν•¨μˆ˜μ˜ 곡간(특히 λ¬΄ν•œμ°¨μ›)의 탐ꡬ 에 μ£Όλͺ©ν•œλ‹€.",
  "paragraph_sentence": '변화에 λŒ€ν•œ 이해와 λ¬˜μ‚¬λŠ” μžμ—°κ³Όν•™μ— μžˆμ–΄μ„œ 일반적인 주제이며, 미적뢄학은 λ³€ν™”λ₯Ό νƒκ΅¬ν•˜λŠ” κ°•λ ₯ν•œ λ„κ΅¬λ‘œμ„œ λ°œμ „λ˜μ—ˆλ‹€. ν•¨μˆ˜λŠ” λ³€ν™”ν•˜λŠ” 양을 λ¬˜μ‚¬ν•¨μ— μžˆμ–΄μ„œ 쀑좔적인 κ°œλ…μœΌλ‘œμ¨ λ– μ˜€λ₯΄κ²Œ λœλ‹€. μ‹€μˆ˜μ™€ μ‹€λ³€μˆ˜λ‘œ κ΅¬μ„±λœ ν•¨μˆ˜μ˜ μ—„λ°€ν•œ 탐ꡬ가 μ‹€ν•΄μ„ν•™μ΄λΌλŠ” λΆ„μ•Όλ‘œ μ•Œλ €μ§€κ²Œ λ˜μ—ˆκ³ , λ³΅μ†Œμˆ˜μ— λŒ€ν•œ 이와 같은 탐ꡬ λΆ„μ•ΌλŠ” λ³΅μ†Œν•΄μ„ν•™μ΄λΌκ³  ν•œλ‹€. <hl> ν•¨μˆ˜ν•΄μ„ν•™μ€ ν•¨μˆ˜μ˜ 곡간(특히 λ¬΄ν•œμ°¨μ›)의 탐ꡬ 에 μ£Όλͺ©ν•œλ‹€. <hl> ν•¨μˆ˜ν•΄μ„ν•™μ˜ λ§Žμ€ μ‘μš©λΆ„μ•Ό 쀑 ν•˜λ‚˜κ°€ μ–‘μžμ—­ν•™μ΄λ‹€. λ§Žμ€ λ¬Έμ œλ“€μ΄ μžμ—°μŠ€λŸ½κ²Œ μ–‘κ³Ό κ·Έ μ–‘μ˜ λ³€ν™”μœ¨μ˜ κ΄€κ³„λ‘œ κ·€μ°©λ˜κ³ , μ΄λŸ¬ν•œ λ¬Έμ œλ“€μ΄ λ―ΈλΆ„λ°©μ •μ‹μœΌλ‘œ 닀루어진닀. μžμ—°μ˜ λ§Žμ€ ν˜„μƒλ“€μ΄ λ™μ—­ν•™κ³„λ‘œ 기술될 수 μžˆλ‹€. 혼돈 이둠은 μ΄λŸ¬ν•œ 예츑 λΆˆκ°€λŠ₯ν•œ ν˜„μƒμ„ νƒκ΅¬ν•˜λŠ” 데 μƒλ‹Ήν•œ κΈ°μ—¬λ₯Ό ν•œλ‹€.',
  "paragraph_answer": '변화에 λŒ€ν•œ 이해와 λ¬˜μ‚¬λŠ” μžμ—°κ³Όν•™μ— μžˆμ–΄μ„œ 일반적인 주제이며, 미적뢄학은 λ³€ν™”λ₯Ό νƒκ΅¬ν•˜λŠ” κ°•λ ₯ν•œ λ„κ΅¬λ‘œμ„œ λ°œμ „λ˜μ—ˆλ‹€. ν•¨μˆ˜λŠ” λ³€ν™”ν•˜λŠ” 양을 λ¬˜μ‚¬ν•¨μ— μžˆμ–΄μ„œ 쀑좔적인 κ°œλ…μœΌλ‘œμ¨ λ– μ˜€λ₯΄κ²Œ λœλ‹€. μ‹€μˆ˜μ™€ μ‹€λ³€μˆ˜λ‘œ κ΅¬μ„±λœ ν•¨μˆ˜μ˜ μ—„λ°€ν•œ 탐ꡬ가 μ‹€ν•΄μ„ν•™μ΄λΌλŠ” λΆ„μ•Όλ‘œ μ•Œλ €μ§€κ²Œ λ˜μ—ˆκ³ , λ³΅μ†Œμˆ˜μ— λŒ€ν•œ 이와 같은 탐ꡬ λΆ„μ•ΌλŠ” λ³΅μ†Œν•΄μ„ν•™μ΄λΌκ³  ν•œλ‹€. ν•¨μˆ˜ν•΄μ„ν•™μ€ <hl> ν•¨μˆ˜μ˜ 곡간(특히 λ¬΄ν•œμ°¨μ›)의 탐ꡬ <hl>에 μ£Όλͺ©ν•œλ‹€. ν•¨μˆ˜ν•΄μ„ν•™μ˜ λ§Žμ€ μ‘μš©λΆ„μ•Ό 쀑 ν•˜λ‚˜κ°€ μ–‘μžμ—­ν•™μ΄λ‹€. λ§Žμ€ λ¬Έμ œλ“€μ΄ μžμ—°μŠ€λŸ½κ²Œ μ–‘κ³Ό κ·Έ μ–‘μ˜ λ³€ν™”μœ¨μ˜ κ΄€κ³„λ‘œ κ·€μ°©λ˜κ³ , μ΄λŸ¬ν•œ λ¬Έμ œλ“€μ΄ λ―ΈλΆ„λ°©μ •μ‹μœΌλ‘œ 닀루어진닀. μžμ—°μ˜ λ§Žμ€ ν˜„μƒλ“€μ΄ λ™μ—­ν•™κ³„λ‘œ 기술될 수 μžˆλ‹€. 혼돈 이둠은 μ΄λŸ¬ν•œ 예츑 λΆˆκ°€λŠ₯ν•œ ν˜„μƒμ„ νƒκ΅¬ν•˜λŠ” 데 μƒλ‹Ήν•œ κΈ°μ—¬λ₯Ό ν•œλ‹€.',
  "sentence_answer": "ν•¨μˆ˜ν•΄μ„ν•™μ€ <hl> ν•¨μˆ˜μ˜ 곡간(특히 λ¬΄ν•œμ°¨μ›)의 탐ꡬ <hl> 에 μ£Όλͺ©ν•œλ‹€."
}
```
### Data Fields
The data fields are the same among all splits.
#### plain_text
- `question`: a `string` feature. 
- `paragraph`: a `string` feature.
- `answer`: a `string` feature.
- `sentence`: a `string` feature.
- `paragraph_answer`: a `string` feature, which is same as the paragraph but the answer is highlighted by a special token `<hl>`.
- `paragraph_sentence`: a `string` feature, which is same as the paragraph but a sentence containing the answer is highlighted by a special token `<hl>`.
- `sentence_answer`: a `string` feature, which is same as the sentence but the answer is highlighted by a special token `<hl>`.

Each of `paragraph_answer`, `paragraph_sentence`, and `sentence_answer` feature is assumed to be used to train a question generation model,
but with different information. The `paragraph_answer` and `sentence_answer` features are for answer-aware question generation and 
`paragraph_sentence` feature is for sentence-aware question generation.

### Data Splits

|   name   |train|validation|test |
|----------|----:|---------:|----:|
|plain_text|18500|     2000 |2000 |

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