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I'm already up to date as of now
```
$ git pull
Already up to date.
$ git branch
* main
$ git branch --show-current
main
$ git rev-parse HEAD
90f07fd6cac33a66ab2f8451328ef81b676f4535
```
…
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## 🐛 Bug
**Describe the bug** A clear and concise description of what the bug is.
The testing data returned by `Multi30k` doesn't match the expected SHA256 hash. The precise error is:
```
R…
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I have collected multi30K from "https://github.com/multi30k/dataset", but En and DE are only 30K which is different from the paper.
The results for EN and DE in zero-shot are 76.6 and 76.4, which ar…
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I have computed the BLEU score for several test sets obtaining a significantly worse performance (-12.52pts BLEU) than the ones obtained by using the official [Google Translation API](https://github.c…
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After this PR https://github.com/pytorch/benchmark/pull/1261 change https://github.com/pytorch/benchmark/commit/94078d9288ff99ef50557a3bd87970badbef0458#diff-fcf1c48cd82709b9bd6dc7881e2a425d15502a7592…
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## 🐛 Bug
The IWSLT dataset's URL was updated some time in late 2020, as mentioned in #1091. When torchtext v0.9.0 updated the IWSLT datasets to use the new dataset URL on Google Drive (see #1115), …
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Hi, thanks for the great work. I am wondering why there is an obvious gap between the BLEU score in your paper and that in `UVR-NMT`, since you all conduct experiments on Multi30k dataset. Do I miss s…
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Hi,
I have some questions about the multi30k dataset used in the UC2 paper.
(1) There are task1 and task2 in the official [multi30k repo](https://github.com/multi30k/dataset), do you use the tr…
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## 🚀 Feature
Revamp our dataset testing strategy to reduce amount of time spent waiting on tests to complete before merging PRs in torchtext.
**Motivation**
TorchText dataset testing currently …
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(torch1.8) nlp@nlp:~/projects/UVR-NMT-master$ sh test.sh
Traceback (most recent call last):
File "interactive.py", line 193, in
cli_main()
File "interactive.py", line 189, in cli_main
…