Datasets:
lmqg
/

Languages:
Korean
Multilinguality:
monolingual
Size Categories:
1k<n<10K
Source Datasets:
lmqg/qg_koquad
ArXiv:
Tags:
question-generation
License:
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@@ -1,10 +1,10 @@
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  ---
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  license: cc-by-sa-4.0
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  pretty_name: SQuAD for question generation
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- language: en
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  multilinguality: monolingual
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  size_categories: 1k<n<10K
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- source_datasets: tweet_qa
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  task_categories:
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  - text-generation
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  task_ids:
@@ -13,7 +13,7 @@ tags:
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  - question-generation
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  ---
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- # Dataset Card for "lmqg/qag_squad"
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  ## Dataset Description
@@ -22,35 +22,23 @@ tags:
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  - **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
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  ### Dataset Summary
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- This is the question & answer generation dataset based on the SQuAD.
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  ### Supported Tasks and Leaderboards
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  * `question-answer-generation`: The dataset is assumed to be used to train a model for question & answer 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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  ### Languages
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- English (en)
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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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- "paragraph": "\"4 Minutes\" was released as the album's lead single and peaked at number three on the Billboard Hot 100. It was Madonna's 37th top-ten hit on the chartโ€”it pushed Madonna past Elvis Presley as the artist with the most top-ten hits. In the UK she retained her record for the most number-one singles for a female artist; \"4 Minutes\" becoming her thirteenth. At the 23rd Japan Gold Disc Awards, Madonna received her fifth Artist of the Year trophy from Recording Industry Association of Japan, the most for any artist. To further promote the album, Madonna embarked on the Sticky & Sweet Tour; her first major venture with Live Nation. With a gross of $280 million, it became the highest-grossing tour by a solo artist then, surpassing the previous record Madonna set with the Confessions Tour; it was later surpassed by Roger Waters' The Wall Live. It was extended to the next year, adding new European dates, and after it ended, the total gross was $408 million.",
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- "questions": [
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- "Which single was released as the album's lead single?",
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- "Madonna surpassed which artist with the most top-ten hits?",
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- "4 minutes became Madonna's which number one single in the UK?",
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- "What is the name of the first tour with Live Nation?",
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- "How much did Stick and Sweet Tour grossed?"
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- ],
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- "answers": [
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- "4 Minutes",
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- "Elvis Presley",
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- "thirteenth",
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- "Sticky & Sweet Tour",
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- "$280 million,"
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- ],
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- "questions_answers": "question: Which single was released as the album's lead single?, answer: 4 Minutes | question: Madonna surpassed which artist with the most top-ten hits?, answer: Elvis Presley | question: 4 minutes became Madonna's which number one single in the UK?, answer: thirteenth | question: What is the name of the first tour with Live Nation?, answer: Sticky & Sweet Tour | question: How much did Stick and Sweet Tour grossed?, answer: $280 million,"
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  }
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  ```
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  The data fields are the same among all splits.
@@ -63,7 +51,7 @@ The data fields are the same among all splits.
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  |train|validation|test |
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  |----:|---------:|----:|
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- |16462| 2067 | 2429|
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  ## Citation Information
 
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  ---
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  license: cc-by-sa-4.0
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  pretty_name: SQuAD for question generation
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+ language: ko
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  multilinguality: monolingual
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  size_categories: 1k<n<10K
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+ source_datasets: lmqg/qg_koquad
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  task_categories:
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  - text-generation
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  task_ids:
 
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  - question-generation
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  ---
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+ # Dataset Card for "lmqg/qag_koquad"
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  ## Dataset Description
 
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  - **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
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24
  ### Dataset Summary
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+ This is the question & answer generation dataset based on the KOQuAD.
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27
  ### Supported Tasks and Leaderboards
28
  * `question-answer-generation`: The dataset is assumed to be used to train a model for question & answer generation.
29
  Success on this task is typically measured by achieving a high BLEU4/METEOR/ROUGE-L/BERTScore/MoverScore (see our paper for more in detail).
30
 
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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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+ "paragraph": ""3.13 ๋งŒ์„ธ์šด๋™" ์€ 1919๋…„ 3.13์ผ ์ „์ฃผ์—์„œ ์ผ์–ด๋‚œ ๋งŒ์„ธ์šด๋™์ด๋‹ค. ์ง€์—ญ ์ธ์‚ฌ๋“ค๊ณผ ํ•จ๊ป˜ ์‹ ํฅํ•™๊ต ํ•™์ƒ๋“ค์ด ์ฃผ๋„์ ์ธ ์—ญํ• ์„ ํ•˜๋ฉฐ, ๋งŒ์„ธ์šด๋™์„ ์ด๋Œ์—ˆ๋‹ค. ๋ฐ•ํƒœ๋ จ, ๊น€์‹ ๊ทน ๋“ฑ ์ „์ฃผ ์ง€๋„์ž๋“ค์€ ๊ตฐ์‚ฐ์—์„œ 4์ผ๊ณผ 5์ผ ๋…๋ฆฝ๋งŒ์„ธ ์‹œ์œ„๊ฐ€ ๊ฐํ–‰๋๋‹ค๋Š” ์†Œ์‹์— ๋“ฃ๊ณ  ์ค€๋น„ํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ์ฒœ๋„๊ต์™€ ๋ฐ•ํƒœ๋ จ ์‹ ๊ฐ„ํšŒ ์ด๋ฌด์ง‘์—์„œ ํ•„์š”ํ•œ ํƒœ๊ทน๊ธฐ๋ฅผ ์ธ์‡„ํ•˜๊ธฐ๋กœ ํ–ˆ์—ˆ๋‹ค. ์„œ์šธ์„ ๋น„๋กฏํ•œ ๋‹ค๋ฅธ ์ง€๋ฐฉ์—์„œ ์‹œ์œ„๊ฐ€ ๊ณ„์†๋˜์ž ์ผ๋ณธ๊ฒฝ์ฐฐ์€ ์‹ ํฅํ•™๊ต์™€ ๊ธฐ์ „ํ•™๊ต๋ฅผ ๋น„๋กฏํ•œ ์ „์ฃผ์‹œ๋‚ด ํ•™๊ต์— ๊ฐ•์ œ ๋ฐฉํ•™์กฐ์น˜๋ฅผ ์ทจํ–ˆ๋‹ค. ์ด์— ์ตœ์ข…์‚ผ ๋“ฑ ์‹ ํฅํ•™๊ต ํ•™์ƒ 5๋ช…์€ ๋ฐค์„ ์ด์šฉํ•ด ์‹ ํฅํ•™๊ต ์ง€ํ•˜์‹ค์—์„œ ํƒœ๊ทน๊ธฐ ๋“ฑ ์ธ์‡„๋ฌผ์„ ๋งŒ๋“ค์—ˆ๋‹ค. ์ค€๋น„๋ฅผ ๋งˆ์นœ ์ด๋“ค์€ 13์ผ ์žฅํ„ฐ๋กœ ๋ชจ์ด๊ธฐ ์‹œ์ž‘ํ–ˆ๊ณ , ์ฑ„์†Œ๊ฐ€๋งˆ๋‹ˆ๋กœ ์œ„์žฅํ•œ ํƒœ๊ทน๊ธฐ๋ฅผ ์žฅํ„ฐ๋กœ ์‹ค์–ด ๋‚˜๋ฅด๊ณ  ๊ฑฐ์‚ฌ ์ง์ „ ์‹œ์žฅ ์ž…๊ตฌ์ธ ์™„์‚ฐ๋™๊ณผ ์ „์ฃผ๊ต ๊ฑด๋„ˆํŽธ์—์„œ ๊ตฐ์ค‘๋“ค์—๊ฒŒ ์€๋ฐ€ํžˆ ๋ฐฐ๋ถ€ํ–ˆ๋‹ค. ๋‚ฎ 12์‹œ20๋ถ„๊ป˜ ์‹ ํฅํ•™๊ต์™€ ๊ธฐ์ „ํ•™๊ต ํ•™์ƒ ๋ฐ ์ฒœ๋„๊ต๋„ ๋“ฑ์€ ํƒœ๊ทน๊ธฐ๋ฅผ ๋“ค๊ณ  ๋งŒ์„ธ๋ฅผ ๋ถˆ๋ €๋‹ค. ๋‚จ๋ฌธ ๋ฐ– ์‹œ์žฅ, ์ œ2๋ณดํ†ตํ•™๊ต(ํ˜„ ์™„์‚ฐ์ดˆ๋“ฑํ•™๊ต)์—์„œ ๋ชจ์—ฌ ์ธ์‡„๋ฌผ์„ ๋ฟŒ๋ฆฌ๋ฉฐ ์‹œ๊ฐ€์ง€๋กœ ๊ตฌ๋ณด๋กœ ํ–‰์ง„ํ–ˆ๋‹ค. ์‹œ์œ„๋Š” ์˜คํ›„ 11์‹œ๊นŒ์ง€ ์„œ๋„ˆ์ฐจ๋ก€ ๊ณ„์†๋๋‹ค. ๋˜ ๋‹ค์Œ๋‚  ์˜คํ›„ 3์‹œ์—๋„ ๊ตฐ์ค‘์ด ๋ชจ์—ฌ ๋งŒ์„ธ๋ฅผ ๋ถˆ๋ €๋‹ค. ์ดํ›„ ๊ณ ํ˜•์ง„, ๋‚จ๊ถํ˜„, ๊น€๋ณ‘ํ•™, ๊น€์ ์‡ , ์ด๊ธฐ๊ณค, ๊น€๊ฒฝ์‹  ๋“ฑ ์‹ ํฅํ•™๊ต ํ•™์ƒ๋“ค์€ ์‹œ์œ„๋ฅผ ์ฃผ๋„ํ–ˆ๋‹ค๋Š” ํ˜์˜๋กœ ๋ชจ๋‘ ์‹คํ˜• 1๋…„์„ ์–ธ๋„ ๋ฐ›์•˜๋‹ค. ์ด์™ธ ์‹ ํฅํ•™๊ต ํ•™์ƒ 3๋ช…์€ ์ผ์ œ์˜ ๊ณ ๋ฌธ์— ์˜ฅ์‚ฌํ•œ ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์กŒ๋‹ค. ๋˜ ์‹œ์œ„๋ฅผ ์ง€๋„ํ•œ ๊น€์ธ์ „ ๋ชฉ์‚ฌ๋Š” ์ดํ›„ ์ค‘๊ตญ ์ƒํ•ด๋กœ ๊ฑฐ์ฒ˜๋ฅผ ์˜ฎ๊ฒจ ์ž„์‹œ์ •๋ถ€์—์„œ ํ™œ๋™ํ–ˆ๋‹ค. ํ˜„์žฌ ์‹ ํฅํ•™๊ต ๊ต๋ฌธ ์˜†์— ๋งŒ์„ธ์šด๋™ ๊ธฐ๋…๋น„๊ฐ€ ์„ธ์›Œ์ ธ ์žˆ๋‹ค.",
39
+ "questions": [ "๋งŒ์„ธ์šด๋™ ๊ธฐ๋…๋น„๊ฐ€ ์„ธ์›Œ์ ธ ์žˆ๋Š” ๊ณณ์€?", "์ผ๋ณธ๊ฒฝ์ฐฐ์˜ ๊ฐ•์ œ ๋ฐฉํ•™์กฐ์น˜์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ํ•™์ƒ๋“ค์€ ์‹ ํฅํ•™๊ต ์ง€ํ•˜์‹ค์— ๋ชจ์—ฌ์„œ ์–ด๋–ค ์ธ์‡„๋ฌผ์„ ๋งŒ๋“ค์—ˆ๋Š”๊ฐ€?", "๏ฟฝ๏ฟฝ๋Ÿฌ ์ง€๋ฐฉ์—์„œ ์‹œ์œ„๊ฐ€ ์ผ์–ด๋‚˜์ž ์ผ๋ณธ๊ฒฝ์ฐฐ์ด ์ „์ฃผ์‹œ๋‚ด ํ•™๊ต์— ๊ฐํ–‰ํ•œ ์กฐ์น˜๋Š” ๋ฌด์—‡์ธ๊ฐ€?", "์ง€์—ญ์ธ์‚ฌ๋“ค๊ณผ ์‹ ํฅ๊ณ ๋“ฑํ•™๊ต ํ•™์ƒ๋“ค์ด ์ฃผ๋„์ ์ธ ์—ญํ• ์„ ํ•œ 3.13 ๋งŒ์„ธ์šด๋™์ด ์ผ์–ด๋‚œ ํ•ด๋Š”?", "์‹ ํฅํ•™๊ต ํ•™์ƒ๋“ค์€ ์‹œ์œ„๋ฅผ ์ฃผ๋„ํ–ˆ๋‹ค๋Š” ํ˜์˜๋กœ ๋ชจ๋‘ ์‹คํ˜• ๋ช‡๋…„์„ ์–ธ๋„ ๋ฐ›์•˜๋Š”๊ฐ€?", "๋งŒ์„ธ์šด๋™์—์„œ ์ฃผ๋„์ ์ธ ์—ญํ• ์„ ํ•œ ์ด๋“ค์€?", "1919๋…„ 3.1 ์šด๋™์ด ์ผ์–ด๋‚œ ์ง€์—ญ์€ ์–ด๋””์ธ๊ฐ€?", "3.13 ๋งŒ์„ธ์šด๋™์ด ์ผ์–ด๋‚œ ๊ณณ์€?" ],
40
+ "answers": [ "์‹ ํฅํ•™๊ต ๊ต๋ฌธ ์˜†", "ํƒœ๊ทน๊ธฐ", "๊ฐ•์ œ ๋ฐฉํ•™์กฐ์น˜", "1919๋…„", "1๋…„", "์‹ ํฅํ•™๊ต ํ•™์ƒ๋“ค", "์ „์ฃผ", "์ „์ฃผ" ],
41
+ "questions_answers": "question: ๋งŒ์„ธ์šด๋™ ๊ธฐ๋…๋น„๊ฐ€ ์„ธ์›Œ์ ธ ์žˆ๋Š” ๊ณณ์€?, answer: ์‹ ํฅํ•™๊ต ๊ต๋ฌธ ์˜† | question: ์ผ๋ณธ๊ฒฝ์ฐฐ์˜ ๊ฐ•์ œ ๋ฐฉํ•™์กฐ์น˜์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ํ•™์ƒ๋“ค์€ ์‹ ํฅํ•™๊ต ์ง€ํ•˜์‹ค์— ๋ชจ์—ฌ์„œ ์–ด๋–ค ์ธ์‡„๋ฌผ์„ ๋งŒ๋“ค์—ˆ๋Š”๊ฐ€?, answer: ํƒœ๊ทน๊ธฐ | question: ์—ฌ๋Ÿฌ ์ง€๋ฐฉ์—์„œ ์‹œ์œ„๊ฐ€ ์ผ์–ด๋‚˜์ž ์ผ๋ณธ๊ฒฝ์ฐฐ์ด ์ „์ฃผ์‹œ๋‚ด ํ•™๊ต์— ๊ฐํ–‰ํ•œ ์กฐ์น˜๋Š” ๋ฌด์—‡์ธ๊ฐ€?, answer: ๊ฐ•์ œ ๋ฐฉํ•™์กฐ์น˜ | question: ์ง€์—ญ์ธ์‚ฌ๋“ค๊ณผ ์‹ ํฅ๊ณ ๋“ฑํ•™๊ต ํ•™์ƒ๋“ค์ด ์ฃผ๋„์ ์ธ ์—ญํ• ์„ ํ•œ 3.13 ๋งŒ์„ธ์šด๋™์ด ์ผ์–ด๋‚œ ํ•ด๋Š”?, answer: 1919๋…„ | question: ์‹ ํฅํ•™๊ต ํ•™์ƒ๋“ค์€ ์‹œ์œ„๋ฅผ ์ฃผ๋„ํ–ˆ๋‹ค๋Š” ํ˜์˜๋กœ ๋ชจ๋‘ ์‹คํ˜• ๋ช‡๋…„์„ ์–ธ๋„ ๋ฐ›์•˜๋Š”๊ฐ€?, answer: 1๋…„ | question: ๋งŒ์„ธ์šด๋™์—์„œ ์ฃผ๋„์ ์ธ ์—ญํ• ์„ ํ•œ ์ด๋“ค์€?, answer: ์‹ ํฅํ•™๊ต ํ•™์ƒ๋“ค | question: 1919๋…„ 3.1 ์šด๋™์ด ์ผ์–ด๋‚œ ์ง€์—ญ์€ ์–ด๋””์ธ๊ฐ€?, answer: ์ „์ฃผ | question: 3.13 ๋งŒ์„ธ์šด๋™์ด ์ผ์–ด๋‚œ ๊ณณ์€?, answer: ์ „์ฃผ"
 
 
 
 
 
 
 
 
 
 
 
 
42
  }
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  ```
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  The data fields are the same among all splits.
 
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52
  |train|validation|test |
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  |----:|---------:|----:|
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+ |9600 | 960 | 4442|
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57
  ## Citation Information