[Feature Request] Update Datasets Version, so that lmms-eval can be used in Offline Environment

[jonasjunzhang]

I encountered a similar issue as This one, when running lmms-eval with an offline machine(no Internet). load_dataset method still tries to reach Hugging Face Hub when I set HF_DATASETS_OFFLINE to 1.

I looked into this issue from huggingface Datasets and found it is a bug from datasets library, where load_dataset method still tries to reach Hugging Face Hub after settingHF_DATASETS_OFFLINE to 1.

And the bug is fixed with this PR since Datasets Version 2.19.0. And it has been verified here that updating Datasets to newer version ACTUALLY enables lmms-eval to run without bug in offline environment.

So I suggest to update Datasets Version to >= 2.19.0 so that lmms-eval can be used in fully offline environment. Any future plans for that?

(Although there are currently some workarounds for running lmms-eval in offline environment 179 21, I think them inconvenient when you need to evaluate MANY tasks. And I think supporting lmms-eval in offline environment will help a lot of users.)

[Luodian]

Thanks for this nice suggestion!

Are you often use in offline environment? It's much appreciated that you can send a PR to modify the version and also give us some guidance by adding to ./docs/xxx.md to introduce the usage in offline environment.

[kcz358]

Hi @jungle-gym-ac , have you tried at your side that once exporting the HF_DATASET_OFFLINE env var with the newest dataset version, you no longer need internet access using lmms-eval? If that is the case, I think we will update the dependency in the pyproject.toml and update the docs

[jonasjunzhang]

Hi @kcz358, sorry for the late reply! I have tried with datasets version 2.20.0, and SUCCESSFULLY run lmms-eval without internet access with HF_DATASET_OFFLINE=1.

The main steps are:

• Suppose you have successfully run lmms-eval on a source machine with Internet access. Transfer the datasets you need to test from source machine to the target machine without internet(under $HF_HOME/datasets/ for both machines), and also pack&move the conda environment with updated datasets version.
• Run lmms-eval on the target machine with the following command:

export HF_DATASET_OFFLINE=1
python3 -m accelerate.commands.launch ... #The exact same command you run on `sourse machine`

And sure I can create a PR for that as @Luodian mentioned.

[Luodian]

Great to hear that, this helps a lot!

[lsm2842035890]

I encountered a similar issue as This one, when running lmms-eval with an offline machine(no Internet). load_dataset method still tries to reach Hugging Face Hub when I set HF_DATASETS_OFFLINE to 1.

I looked into this issue from huggingface Datasets and found it is a bug from datasets library, where load_dataset method still tries to reach Hugging Face Hub after settingHF_DATASETS_OFFLINE to 1.

And the bug is fixed with this PR since Datasets Version 2.19.0. And it has been verified here that updating Datasets to newer version ACTUALLY enables lmms-eval to run without bug in offline environment.

So I suggest to update Datasets Version to >= 2.19.0 so that lmms-eval can be used in fully offline environment. Any future plans for that?

(Although there are currently some workarounds for running lmms-eval in offline environment 179 21, I think them inconvenient when you need to evaluate MANY tasks. And I think supporting lmms-eval in offline environment will help a lot of users.)

哈喽你好，在datasets 2.16 的时候，我设置HF_DATASETS_OFFLINE=1，第一次运行很慢，然后第二次运行就很快，是因为第一次仍然试图从hf在线加载数据吗~

[lsm2842035890]

I encountered a similar issue as This one, when running lmms-eval with an offline machine(no Internet). load_dataset method still tries to reach Hugging Face Hub when I set HF_DATASETS_OFFLINE to 1.
I looked into this issue from huggingface Datasets and found it is a bug from datasets library, where load_dataset method still tries to reach Hugging Face Hub after settingHF_DATASETS_OFFLINE to 1.
And the bug is fixed with this PR since Datasets Version 2.19.0. And it has been verified here that updating Datasets to newer version ACTUALLY enables lmms-eval to run without bug in offline environment.
So I suggest to update Datasets Version to >= 2.19.0 so that lmms-eval can be used in fully offline environment. Any future plans for that?
(Although there are currently some workarounds for running lmms-eval in offline environment 179 21, I think them inconvenient when you need to evaluate MANY tasks. And I think supporting lmms-eval in offline environment will help a lot of users.)

哈喽你好，在datasets 2.16 的时候，我设置HF_DATASETS_OFFLINE=1，第一次运行很慢，然后第二次运行就很快，是因为第一次仍然试图从hf在线加载数据吗~

牛逼，确实是datasets版本的问题

[Luodian]

Thanks for this suggestion, I've made this change to the default requirement.