Datasets:

uonlp

/

CulturaX

like 427

Due to security reasons, the viewer is no longer supported on datasets containing a Python loading script.

Note that the dataset can be loaded, although the viewer does not work. You could disable the viewer.

Alternatively, you could convert your dataset to a format which the viewer is supported on, for example, to Parquet by using this Space: https://huggingface.co/spaces/albertvillanova/convert-dataset-to-parquet

Due to security reasons, the viewer is no longer supported on datasets containing a Python loading script.

Note that the dataset can be loaded, although the viewer does not work. You could disable the viewer.

Alternatively, you could convert your dataset to a format which the viewer is supported on, for example, to Parquet by using this Space: https://huggingface.co/spaces/albertvillanova/convert-dataset-to-parquet

Thank you @Mozhgan-m and @severo !

My dataset is already in Parquet format. So do I need to delete the Python loading script to get the viewer working again?

Yes, exactly

Hi @severo , I deleted my load script and the viewer is working again. But it only shows the "training" split of my datasets. My data has many language folders and I want to split according to those languages.

I tried adding the configurations below to README.md like this tutorial but it didn't work. It says my dataset is empty and I should upload some files first.

configs:
- config_name: af
  data_dir: af
- config_name: als
  data_dir: als
...

Could you please help me solve this problem?

Thank you!

Possibly you have to be more specific:

as explained here: https://huggingface.co/docs/hub/datasets-manual-configuration#splits

Also: I'm not sure data_dir is a supported field. Have you tried with data_files?

Maybe @polinaeterna @albertvillanova @lhoestq can give more details

Using data_dir in YAML is supported and is equivalent to passing data_dir= to load_dataset:

In [1]: from datasets import load_dataset_builder

In [2]: b = load_dataset_builder("uonlp/CulturaX", data_dir="af")
Downloading readme: 100%|██████| 22.4k/22.4k [00:00<00:00, 8.90MB/s]

In [3]: b.config.data_files
Out[3]: {NamedSplit('train'): ['hf://datasets/uonlp/CulturaX@3ac245a3f07fc7aefba22f68aa530065b123de73/af/af_part_00000.parquet']}

@nguyenhuuthuat09 you mentioned that the viewer was saying that the dataset was empty, maybe one of the directory you added in the YAML doesn't exist or something ?

Using data_dir in YAML is supported and is equivalent to passing data_dir= to load_dataset

Good to know, I'll add this to the docs page.

Hi @severo , @lhoestq , I just checked again for empty folders and re-generated the configuration. And I don't see any empty folders
but the viewer still says my dataset is empty.

here is the code I used:

import os
from huggingface_hub import login, HfFileSystem

login(TOKEN)
fs = HfFileSystem()

all_dirs = fs.ls("datasets/uonlp/CulturaX", detail=False)

for d in all_dirs:
    if d in ["datasets/uonlp/CulturaX/.gitattributes", "datasets/uonlp/CulturaX/README.md"]:
        continue

    # check if folder is empty or not
    d_files = fs.ls(d, detail=False)
    assert any([f.endswith(".parquet") for f in d_files]), d

    # generate configs
    print(f"- config_name: {os.path.basename(d)}")
    print(f"  data_dir: {os.path.basename(d)}")

In addition, we have a folder named "no", wondering if it will cause any unexpected errors?

Thank you!

In YAML no means false so you should use "no"

Thank you @lhoestq ! I changed no to "no" but it didn't work, it still says my dataset is empty. Could you please take a quick look at the README.md file? I couldn't find any problems with it.

Hi @severo @lhoestq , I was able to get the viewer working again by using data_files instead of data_dir. Perhaps because in each of my folders, in addition to the parquet files, there is another text file, and that makes the viewer unable to load data.

Thank you!