[Most-ai-contest] refinement of anstype and ansmode for fgc-2019 dataset

[范正忠]

Dear all, 

Enclosed please find FGC_Release_1.1 data-set, which include 
1. DRCD, ASR, Kaggle, Lee 
2. FGC_release_A_train_1.1, FGC_release_A_dev_1.1, FGC_release_A_test_1.1 

Please use this data-set as the standard benchmark. 
Also note that you can use item 1 + FGC_release_A_train_1.1 as your training set, FGC_release_A_dev_1.1 as development set, and FGC_release_A_test_1.1 as testing set. 

Please feel free to let me know any questions. 

Best, 
jjfan 


From: "范正忠" <jjfan at iis.sinica.edu.tw> 
To: "Most-ai Contest" <Most-ai-contest at iis.sinica.edu.tw> 
Sent: Monday, November 18, 2019 8:56:28 AM 
Subject: Re: [Most-ai-contest] refinement of anstype and ansmode for fgc-2019 dataset 

Dear all, 

Please send me error list of Answer-Type and Answer-Mode annotations end of today. 
Then I will divide FGC release data-set into training, development, and test, and release them tomorrow for your benchmark. 

Thanks. 

Best, 
jjfan 


From: "Chiangyulun0914" <chiangyulun0914 at iis.sinica.edu.tw> 
To: "Most-ai Contest" <Most-ai-contest at iis.sinica.edu.tw> 
Sent: Wednesday, November 13, 2019 5:19:49 PM 
Subject: Re: [Most-ai-contest] refinement of anstype and ansmode for fgc-2019 dataset 

大家好， 

檔案以 .xlsx 或 .csv 檔為主。附檔為範例。感謝! 

江侑倫 
自然語言理解實驗室 




中央研究院資訊科學研究所 

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Yu-Lun Chiang 

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Natural Language Understanding Lab 

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Institute of Information Science, Academia Sinica 
Mobile: +886-975279013 (Taiwan) 


江侑倫 < [ mailto:chiangyulun0914 at iis.sinica.edu.tw | chiangyulun0914 at iis.sinica.edu.tw ] > 於 2019年11月13日 週三 下午4:57寫道： 

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大家好， 

有鑑於范博士最新釋出的 fgc-2019 dataset 中，可能因使用 rule-based 標記 anstype 和 ansmode 而造成一些錯誤，因此若團隊成員在使用數據集時發現致命錯誤， 請隨手紀錄，並依照附檔的格式與檔名 ，將修正前和修正後的 anstype 與 ansmode 回傳給范博士，以利范博士更新數據集。在此亦附上 20191112 當天范博士釋出最新版的 anstype 與 ansmode 種類。 

若 anstype 與 ansmode 中 僅出現一個 需要被修正，仍請將 不需修正的另一個 也填進附檔的 refined 那行中，以利范博士直接依照 refined 行中的資訊進行數據集更新。 

感謝 ! 

江侑倫 
自然語言理解實驗室 

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中央研究院資訊科學研究所 

BQ_BEGIN

BQ_END
Yu-Lun Chiang 

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BQ_END
Natural Language Understanding Lab 

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Institute of Information Science, Academia Sinica 
Mobile: +886-975279013 (Taiwan) 



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