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Datasets:
chahuadev
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Chahuadev-Hub-Python

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Tags:
chahuadev
app-launcher
hub
python
desktop-app
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The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 91, in _split_generators
                  pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 193, in _generate_tables
                  examples = [ujson_loads(line) for line in batch.splitlines()]
                              ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Chahuadev Hub

The official app launcher and distribution hub by Chahuadev.

Download and manage all Chahuadev apps in one place — including Chahuadev Framework, Emoji Cleaner, and Junk Sweeper.

Chahuadev Hub — App Launcher

HuggingFace PyPI Python 3.9+ Cross-Platform MIT License

📦 Installation

Make sure you have Python 3.9+ installed, then run:

🪟 Windows 

pip install chahuadev-hub

If pip is not recognized on Windows:

python -m pip install chahuadev-hub

🐧 Linux 

pip3 install chahuadev-hub

If pip3 is not recognized on Linux, install pip first:

sudo apt install python3-pip   # Ubuntu / Debian
sudo dnf install python3-pip   # Fedora

Then run pip3 install chahuadev-hub again.

🔄 Update to the latest version 

pip install --upgrade chahuadev-hub

Linux: use pip3 install --upgrade chahuadev-hub

🎮 Usage

You can launch the Chahuadev Hub GUI using either of the following methods:

Method 1: Direct Command (Recommended)

Simply type this in your terminal and press Enter:

chahuadev-hub

Method 2: Python Module Command (Works on all systems)

If the direct command doesn't work — common on Windows when Python's Scripts folder is not in PATH — use this instead:

python -m chahuadev_hub

Note: A sleek, dark-mode GUI window will appear, automatically fetching the latest tools ready for you to download!

✨ Features

  • 🌐 Cloud Sync: Fetches the latest app list directly from the Chahuadev Hugging Face repository.
  • ⬇️ Smart Download: Real-time progress bar with file size and integrity verification.
  • 🪟🐧 Cross-Platform: Beautiful UI that works seamlessly on both Windows and Linux.
  • 🔍 Filtering: Easily sort and filter available apps by platform (Windows .exe / Linux .AppImage).

🔗 Links

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