Error code: ConfigNamesError Exception: RuntimeError Message: Dataset scripts are no longer supported, but found imagenette.py Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response config_names = get_dataset_config_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 989, in dataset_module_factory raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}") RuntimeError: Dataset scripts are no longer supported, but found imagenette.py

Dataset Card for Imagenette

Dataset Details

Dataset Description

Imagenette is a subset of 10 easily classified classes from ImageNet (tench, English springer, cassette player, chain saw, church, French horn, garbage truck, gas pump, golf ball, parachute).

License: Apache 2.0

Dataset Sources

Homepage: https://github.com/fastai/imagenette

Dataset Structure

Total images: 13,394

Splits:

Train: 9,469 images
Test: 3,925 images

Classes (labels): 10 categories

Image specs: JPEG format, various resolutions, RGB

Example Usage

Below is a quick example of how to load this dataset via the Hugging Face Datasets library.

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("randall-lab/imagenette", split="train", trust_remote_code=True)
# dataset = load_dataset("randall-lab/imagenette", split="test", trust_remote_code=True)

# Access a sample from the training set
example = dataset[0]
image = example["image"]
label = example["label"]

image.show()  # Display the image
print(f"Label: {label}")

Citation

BibTeX:

@misc{imagenette, author = {FastAI}, title = {Imagenette: A smaller subset of ImageNet}, year = {2019}, url = {https://github.com/fastai/imagenette}, note = {Accessed: March 17, 2025} }