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@@ -9,51 +9,28 @@ task_categories: question-generation
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  task_ids: question-generation
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  ---
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- # Dataset Card for "qg_korquad"
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-
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- ## Table of Contents
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- - [Dataset Description](#dataset-description)
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- - [Dataset Summary](#dataset-summary)
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- - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- - [Languages](#languages)
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- - [Dataset Structure](#dataset-structure)
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- - [Data Instances](#data-instances)
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- - [Data Fields](#data-fields)
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- - [Data Splits](#data-splits)
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- - [Dataset Creation](#dataset-creation)
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- - [Curation Rationale](#curation-rationale)
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- - [Source Data](#source-data)
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- - [Annotations](#annotations)
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- - [Personal and Sensitive Information](#personal-and-sensitive-information)
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- - [Considerations for Using the Data](#considerations-for-using-the-data)
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- - [Social Impact of Dataset](#social-impact-of-dataset)
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- - [Discussion of Biases](#discussion-of-biases)
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- - [Other Known Limitations](#other-known-limitations)
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- - [Additional Information](#additional-information)
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- - [Dataset Curators](#dataset-curators)
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- - [Licensing Information](#licensing-information)
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- - [Citation Information](#citation-information)
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  ## Dataset Description
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  - **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
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- - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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  - **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
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  ### Dataset Summary
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- Modified version of [KorQuAD](https://huggingface.co/datasets/squad_kor_v1) for question generation (QG) task.
 
 
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  Since the original dataset only contains training/validation set, we manually sample test set from training set, which
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  has no overlap in terms of the paragraph with the training set.
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  ### Supported Tasks and Leaderboards
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- * `question-generation`: The dataset can be used to train a model for question generation.
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- Success on this task is typically measured by achieving a high BLEU4/METEOR/ROUGE-L score.
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-
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  ### Languages
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  Korean (ko)
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  ## Dataset Structure
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- ### Data Instances
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- #### plain_text
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  An example of 'train' looks as follows.
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  ```
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  {
@@ -66,9 +43,8 @@ An example of 'train' looks as follows.
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  "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‹€."
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  }
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  ```
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- ### Data Fields
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  The data fields are the same among all splits.
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- #### plain_text
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  - `question`: a `string` feature.
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  - `paragraph`: a `string` feature.
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  - `answer`: a `string` feature.
@@ -81,38 +57,25 @@ Each of `paragraph_answer`, `paragraph_sentence`, and `sentence_answer` feature
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  but with different information. The `paragraph_answer` and `sentence_answer` features are for answer-aware question generation and
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  `paragraph_sentence` feature is for sentence-aware question generation.
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- ### Data Splits
 
 
 
 
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- | name |train|validation|test |
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- |----------|----:|---------:|----:|
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- |plain_text|54556| 5766 |5766 |
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- ## Dataset Creation
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- ### Curation Rationale
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- ### Source Data
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- #### Initial Data Collection and Normalization
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- #### Who are the source language producers?
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- ### Annotations
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- #### Annotation process
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- #### Who are the annotators?
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- ### Personal and Sensitive Information
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- ## Considerations for Using the Data
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- ### Social Impact of Dataset
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- ### Discussion of Biases
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- ### Other Known Limitations
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- ## Additional Information
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- ### Dataset Curators
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- ### Licensing Information
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- Please refer the Licensing Information of the original dataset [here](https://huggingface.co/datasets/squad_kor_v1#licensing-information).
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- ### Citation Information
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
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  task_ids: question-generation
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  ---
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+ # Dataset Card for "lmqg/qg_korquad"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Dataset Description
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  - **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
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+ - **Paper:** [TBA](TBA)
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  - **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
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  ### Dataset Summary
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+ This is a subset of [QG-Bench](https://github.com/asahi417/lm-question-generation/blob/master/QG_BENCH.md#datasets), a unified question generation benchmark proposed in
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+ ["Generative Language Models for Paragraph-Level Question Generation: A Unified Benchmark and Evaluation, EMNLP 2022 main conference"](paper_link).
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+ This is a modified version of [KorQuAD](https://huggingface.co/datasets/squad_kor_v1) for question generation (QG) task.
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  Since the original dataset only contains training/validation set, we manually sample test set from training set, which
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  has no overlap in terms of the paragraph with the training set.
25
 
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  ### Supported Tasks and Leaderboards
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+ * `question-generation`: The dataset is assumed to be used to train a model for question generation.
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+ Success on this task is typically measured by achieving a high BLEU4/METEOR/ROUGE-L/BERTScore/MoverScore (see our paper for more in detail).
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+
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  ### Languages
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  Korean (ko)
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  ## Dataset Structure
 
 
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  An example of 'train' looks as follows.
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  ```
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  {
 
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  "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‹€."
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  }
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  ```
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+
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  The data fields are the same among all splits.
 
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  - `question`: a `string` feature.
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  - `paragraph`: a `string` feature.
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  - `answer`: a `string` feature.
 
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  but with different information. The `paragraph_answer` and `sentence_answer` features are for answer-aware question generation and
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  `paragraph_sentence` feature is for sentence-aware question generation.
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+ ## Data Splits
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+
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+ |train|validation|test |
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+ |----:|---------:|----:|
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+ |54556| 5766 |5766 |
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+ ## Citation Information
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+
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+ ```
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+ @inproceedings{ushio-etal-2022-generative,
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+ title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration: {A} {U}nified {B}enchmark and {E}valuation",
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+ author = "Ushio, Asahi and
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+ Alva-Manchego, Fernando and
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+ Camacho-Collados, Jose",
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+ booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
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+ month = dec,
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+ year = "2022",
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+ address = "Abu Dhabi, U.A.E.",
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+ publisher = "Association for Computational Linguistics",
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+ }
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+ ```