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Hello, about the training datasets folder #4

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WildLight opened this issue May 20, 2022 · 9 comments
Open

Hello, about the training datasets folder #4

WildLight opened this issue May 20, 2022 · 9 comments

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@WildLight
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Hello, I meet a question.
image
In above folder of 'squad', there is a 'translate-train' folder. But you public the datasets only a 'translate-train-en' folder, so the data of 'translate-train' are contain in the 'translate-train-en' ?
When I run the code of training process, will use file 'squad.translate.train.en-ar.json' and I only rename the file 'squad.translate.train.en-ar-en.json' to 'squad.translate.train.en-ar.json', this is right ?
I hope you can help me. Thank you.

@yhy1117
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yhy1117 commented May 20, 2022

Hi, you can download data and translation data (translate-train and translate-test) from XTREME repo.
We only provide other data in the google drive link.

@WildLight
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Hello, thanks a lot for the quick reply.
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I don't know where is the squad data(translate-train).
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Besides, I also view the .sh file in XTREME repo, but I didn't find it.
I hope you can tell me the detail, Thanks a lot @yhy1117

@yhy1117
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yhy1117 commented May 20, 2022

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Hi, you can download translation data from here.

@WildLight
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Hi, Thanks a lot @yhy1117 .
(Closing this issue. If I have further questions, I will reach out.)
Again, thanks a lot for the quick reply.

@WildLight
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Hello, here I go again.😂
There is no such file(squad.translate.train.en-en.json) in XTREME
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When I run the code getting the 'get_train_examples', there is need the file 'squad.translate.train.en-en.json'.
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I hope you can help me. Thanks a lot.

@yhy1117
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yhy1117 commented May 20, 2022

The squad.translate.train.en-en.json file is the squad/train-v1.1.json file. Sorry, I will fix the code soon.

@WildLight
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OK, thanks a lot for the quick reply.

@WildLight
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Hello, when I run the code, I get the error(Process finished with exit code 137).
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So, I want to ask what is your hardware environment configuration like.
I have the enviroment of hardware.
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The GPU is 2080Ti(11019MiB).
Thanks a lot 😄

@yhy1117
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yhy1117 commented May 25, 2022

Hi, our hardware environments are: CPU 88, Memory 350GB, GPU Nvidia V100-32GB.

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