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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found beans.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 "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1167, 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 beans.py

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Dataset Card for Beans

Dataset Details

Dataset Description

The Beans dataset contains 1,296 images of bean plant leaves, categorized into three classes:

  • Healthy

  • Angular Leaf Spot (disease)

  • Bean Rust (disease)

The images were collected in Ugandan fields by the Makerere AI Lab in collaboration with the National Crops Resources Research Institute (NaCRRI). Each image was annotated during data collection by agricultural experts. The dataset is intended for plant disease classification and can be used to develop machine learning models for mobile-based agricultural diagnostics.

  • License: MIT

Dataset Sources

Dataset Structure

Total images: 1,296

Classes: 3 categories

Splits:

  • Train: 1,034 images

  • Validation: 133 images

  • Test: 128 images

Image specs: JPEG format, RGB images

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/beans", split="train", trust_remote_code=True)
# dataset = load_dataset("randall-lab/beans", split="test", trust_remote_code=True)
# dataset = load_dataset("randall-lab/beans", split="validation", trust_remote_code=True)

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

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

Citation

BibTeX:

@misc{makerere2020beans, author = "{Makerere AI Lab}", title = "{Bean Disease Dataset}", year = "2020", month = "January", url = "https://github.com/AI-Lab-Makerere/ibean/" }

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