wiki40b/wikipedia for almost all languages cannot be downloaded

Hi
I am trying to download the data as below:

```
from datasets import load_dataset
dataset = load_dataset("wiki40b", "cs")
print(dataset)
```

I am getting this error. @lhoestq I will be grateful if you could assist me with this error. For almost all languages except english I am getting this error.

I really need majority of languages in this dataset to be able to train my models for a deadline and your great scalable super well-written library is my only hope to train the models at scale while being low on resources. 

thank you very much.

```
(fast) dara@vgne046:/user/dara/dev/codes/seq2seq$ python test_data.py
Downloading and preparing dataset wiki40b/cs (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to temp/dara/cache_home_2/datasets/wiki40b/cs/1.1.0/063778187363ffb294896eaa010fc254b42b73e31117c71573a953b0b0bf010f...
Traceback (most recent call last):
  File "test_data.py", line 3, in <module>
    dataset = load_dataset("wiki40b", "cs")
  File "/user/dara/libs/anaconda3/envs/fast/lib/python3.7/site-packages/datasets/load.py", line 746, in load_dataset
    use_auth_token=use_auth_token,
  File "/user/dara/libs/anaconda3/envs/fast/lib/python3.7/site-packages/datasets/builder.py", line 579, in download_and_prepare
    dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
  File "/user/dara/libs/anaconda3/envs/fast/lib/python3.7/site-packages/datasets/builder.py", line 1105, in _download_and_prepare
    import apache_beam as beam
  File "/user/dara/libs/anaconda3/envs/fast/lib/python3.7/site-packages/apache_beam-2.28.0-py3.7-linux-x86_64.egg/apache_beam/__init__.py", line 96, in <module>
    from apache_beam import io
  File "/user/dara/libs/anaconda3/envs/fast/lib/python3.7/site-packages/apache_beam-2.28.0-py3.7-linux-x86_64.egg/apache_beam/io/__init__.py", line 23, in <module>
    from apache_beam.io.avroio import *
  File "/user/dara/libs/anaconda3/envs/fast/lib/python3.7/site-packages/apache_beam-2.28.0-py3.7-linux-x86_64.egg/apache_beam/io/avroio.py", line 55, in <module>
    import avro
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 668, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 638, in _load_backward_compatible
  File "/user/dara/libs/anaconda3/envs/fast/lib/python3.7/site-packages/avro_python3-1.9.2.1-py3.7.egg/avro/__init__.py", line 34, in <module>
  File "/user/dara/libs/anaconda3/envs/fast/lib/python3.7/site-packages/avro_python3-1.9.2.1-py3.7.egg/avro/__init__.py", line 30, in LoadResource
NotADirectoryError: [Errno 20] Not a directory: '/user/dara/libs/anaconda3/envs/fast/lib/python3.7/site-packages/avro_python3-1.9.2.1-py3.7.egg/avro/VERSION.txt'
```

Dear @lhoestq for wikipedia dataset I also get the same error, I greatly appreciate if you could have a look into this dataset as well. Below please find the command to reproduce the error:

```
dataset = load_dataset("wikipedia", "20200501.bg")
print(dataset)
```

Your library is my only chance to be able training  the models at scale and I am grateful for your help.



Hi @dorost1234,
Try installing this library first, `pip install 'apache-beam[gcp]' --use-feature=2020-resolver` followed by loading dataset like this using beam runner.

`dataset = load_dataset("wiki40b", "cs", beam_runner='DirectRunner')`

 I also read in error stack trace that:

> Trying to generate a dataset using Apache Beam, yet no Beam Runner or PipelineOptions() has been provided in `load_dataset` or in the builder arguments. For big datasets it has to run on large-scale data processing tools like Dataflow, Spark, etc.

Worked perfectly fine after this (Ignore these warnings)

![image](https://user-images.githubusercontent.com/19718818/110908410-c7e2ce00-8334-11eb-8d10-7354359e9ec3.png)



For wikipedia dataset, looks like the files it's looking for are no longer available. For `bg`, I checked [here](https://dumps.wikimedia.org/bgwiki/). For this I think `dataset_infos.json` for this dataset has to made again? You'll have to load this dataset also using beam runner.



Hello @dorost1234,

Indeed, Wikipedia datasets need a lot of preprocessing and this is done using Apache Beam. That is the reason why it is required that you install Apache Beam in order to preform this preprocessing.

For some specific default parameters (English Wikipedia), Hugging Face has already preprocessed the dataset for you (and it is stored in the cloud). That is the reason why you do not get the error for English: the preprocessing is already done by HF and you just get the preprocessed dataset; Apache Beam is not required in that case.

Hi
I really appreciate if huggingface can kindly provide preprocessed
datasets, processing these datasets require sufficiently large resources
and I do not have unfortunately access to, and perhaps many others too.
thanks

On Fri, Mar 12, 2021 at 9:04 AM Albert Villanova del Moral <
***@***.***> wrote:

> Hello @dorost1234 <https://github.com/dorost1234>,
>
> Indeed, Wikipedia datasets need a lot of preprocessing and this is done
> using Apache Beam. That is the reason why it is required that you install
> Apache Beam in order to preform this preprocessing.
>
> For some specific default parameters (English Wikipedia), Hugging Face has
> already preprocessed the dataset for you (and it is stored in the cloud).
> That is the reason why you do not get the error for English: the
> preprocessing is already done by HF and you just get the preprocessed
> dataset; Apache Beam is not required in that case.
>
> —
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub
> <https://github.com/huggingface/datasets/issues/2035#issuecomment-797310899>,
> or unsubscribe
> <https://github.com/notifications/unsubscribe-auth/AS37NMXACFQZAGMK4VGXRETTDHDI3ANCNFSM4ZA5R2UA>
> .
>


Hi everyone
thanks for the helpful pointers, I did it as @bhavitvyamalik suggested, for me this freezes on this command for several hours, 

`Downloading and preparing dataset wiki40b/cs (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /users/dara/cache/datasets/wiki40b/cs/1.1.0/063778187363ffb294896eaa010fc254b42b73e31117c71573a953b0b0bf010f...
`

Do you know how long this takes? Any specific requirements the machine should have? like very large memory or so? @lhoestq 

thanks 




HI @dorost1234, 
The dataset size is 631.84 MiB so depending on your internet speed it'll take some time. You can monitor your internet speed meanwhile to see if it's downloading the dataset or not (use `nload` if you're using linux/mac to monitor the same). In my case it took around 3-4 mins. Since they haven't used `download_and_extract` here that's why there's no download progress bar.

Hi
thanks, my internet speed should be good, but this really freezes for me, this is how I try to get this dataset:

`from datasets import load_dataset
dataset = load_dataset("wiki40b", "cs", beam_runner='DirectRunner')`

the output I see if different also from what you see after writing  this command:

`Downloading and preparing dataset wiki40b/cs (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /users/dara/cache/datasets/wiki40b/cs/1.1.0/063778187363ffb294896eaa010fc254b42b73e31117c71573a953b0b0bf010f...`

do you have any idea why it might get freezed? anything I am missing @lhoestq @bhavitvyamalik. Do I need maybe to set anything special for apache-beam? 

thanks a lot 

On Tue, Mar 16, 2021 at 9:03 AM Bhavitvya Malik ***@***.***>
wrote:

> HI @dorost1234 <https://github.com/dorost1234>,
> The dataset size is 631.84 MiB so depending on your internet speed it'll
> take some time. You can monitor your internet speed meanwhile to see if
> it's downloading the dataset or not (use nload if you're using linux/mac
> to monitor the same). In my case it took around 3-4 mins. Since they
> haven't used download_and_extract here that's why there's no download
> progress bar.
>
> —
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub
> <https://github.com/huggingface/datasets/issues/2035#issuecomment-800044303>,
> or unsubscribe
> <https://github.com/notifications/unsubscribe-auth/AS37NMQIHNNLM2LGG6QKZ73TD4GDJANCNFSM4ZA5R2UA>
> .
>


I tried this on another machine (followed the same procedure I've mentioned above). This is what it shows (during the freeze period) for me:
```
>>> dataset = load_dataset("wiki40b", "cs", beam_runner='DirectRunner')
Downloading: 5.26kB [00:00, 1.23MB/s]                                                                                                                                    
Downloading: 1.40kB [00:00, 327kB/s]                                                                                                                                     
Downloading and preparing dataset wiki40b/cs (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /home/bhavitvya/.cache/huggingface/datasets/wiki40b/cs/1.1.0/063778187363ffb294896eaa010fc254b42b73e31117c71573a953b0b0bf010f...
WARNING:apache_beam.internal.gcp.auth:Unable to find default credentials to use: The Application Default Credentials are not available. They are available if running in Google Compute Engine. Otherwise, the environment variable GOOGLE_APPLICATION_CREDENTIALS must be defined pointing to a file defining the credentials. See https://developers.google.com/accounts/docs/application-default-credentials for more information.
Connecting anonymously.
WARNING:apache_beam.io.tfrecordio:Couldn't find python-snappy so the implementation of _TFRecordUtil._masked_crc32c is not as fast as it could be.
```
After around 10 minutes, here's the loading of dataset:
```
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:16<00:00, 16.42s/sources]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00,  1.12sources/s]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00,  1.14sources/s]
Dataset wiki40b downloaded and prepared to /home/bhavitvya/.cache/huggingface/datasets/wiki40b/cs/1.1.0/063778187363ffb294896eaa010fc254b42b73e31117c71573a953b0b0bf010f. Subsequent calls will reuse this data.
```

Hi
I honestly also now tried on another machine and nothing shows up after
hours of waiting. Are you sure you have not set any specific setting? maybe
google cloud which seems it is used here, needs some credential setting?
thanks for any suggestions on this

On Tue, Mar 16, 2021 at 10:02 AM Bhavitvya Malik ***@***.***>
wrote:

> I tried this on another machine (followed the same procedure I've
> mentioned above). This is what it shows (during the freeze period) for me:
>
> >>> dataset = load_dataset("wiki40b", "cs", beam_runner='DirectRunner')
> Downloading: 5.26kB [00:00, 1.23MB/s]
> Downloading: 1.40kB [00:00, 327kB/s]
> Downloading and preparing dataset wiki40b/cs (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /home/bhavitvya/.cache/huggingface/datasets/wiki40b/cs/1.1.0/063778187363ffb294896eaa010fc254b42b73e31117c71573a953b0b0bf010f...
> WARNING:apache_beam.internal.gcp.auth:Unable to find default credentials to use: The Application Default Credentials are not available. They are available if running in Google Compute Engine. Otherwise, the environment variable GOOGLE_APPLICATION_CREDENTIALS must be defined pointing to a file defining the credentials. See https://developers.google.com/accounts/docs/application-default-credentials for more information.
> Connecting anonymously.
> WARNING:apache_beam.io.tfrecordio:Couldn't find python-snappy so the implementation of _TFRecordUtil._masked_crc32c is not as fast as it could be.
>
> After around 10 minutes, here's the loading of dataset:
>
> 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:16<00:00, 16.42s/sources]
> 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00,  1.12sources/s]
> 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00,  1.14sources/s]
> Dataset wiki40b downloaded and prepared to /home/bhavitvya/.cache/huggingface/datasets/wiki40b/cs/1.1.0/063778187363ffb294896eaa010fc254b42b73e31117c71573a953b0b0bf010f. Subsequent calls will reuse this data.
>
> —
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub
> <https://github.com/huggingface/datasets/issues/2035#issuecomment-800081772>,
> or unsubscribe
> <https://github.com/notifications/unsubscribe-auth/AS37NMX6A2ZTRZUIIZVFRCDTD4NC3ANCNFSM4ZA5R2UA>
> .
>