[DO NOT LAND] Switch to translation dataset in torchtext 0.9.0 release

[zhangguanheng66]

In torchtext 0.9.0 release, we will include the raw text datasets as beta release. This PR is to switch the data to the raw dataset.

This PR should be tested against pytorch 1.8.0 rc and torchtext 0.9.0 rc.

[zhangguanheng66]

We expect the CI tests to fail until we switch to 1.8.0-rc. The tutorial works with the nightly release of torchtext, which will be cut for the rc package.
cc @brianjo @cpuhrsch

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[cpuhrsch]

Since Multi30k is being moved into experimental for this release, let's pick a different translation dataset, for example one of the IWSLT datasets.

[zhangguanheng66]

Switch to IWSLT2017

[cpuhrsch]

The tutorial itself still has code such as

# ENC_EMB_DIM = 256
# DEC_EMB_DIM = 256
# ENC_HID_DIM = 512
# DEC_HID_DIM = 512
# ATTN_DIM = 64
# ENC_DROPOUT = 0.5
# DEC_DROPOUT = 0.5

Did you also confirm that the model converges to something meaningful under this new dataset?

[zhangguanheng66]

The tutorial itself still has code such as

# ENC_EMB_DIM = 256
# DEC_EMB_DIM = 256
# ENC_HID_DIM = 512
# DEC_HID_DIM = 512
# ATTN_DIM = 64
# ENC_DROPOUT = 0.5
# DEC_DROPOUT = 0.5

Did you also confirm that the model converges to something meaningful under this new dataset?

I'm adjusting the amount of data used in this tutorial as IWSLT2017 has more data than Multi30k

[cpuhrsch]

Given the issues with convergence on this IWSLT2017 and the release of Multi30k being delayed, let's not release an update to this tutorial.

[zhangguanheng66]

Since Multi30k dataset is not going to be released in torchtext v0.9.0 - pytorch/text#1207, we will delay this PR until we release Multi30k.

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