The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: AttributeError
Message: 'str' object has no attribute 'items'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 79, 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 347, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1910, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1885, in dataset_module_factory
return HubDatasetModuleFactoryWithoutScript(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1331, in get_module
{
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1332, in <dictcomp>
config_name: DatasetInfo.from_dict(dataset_info_dict)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/info.py", line 362, in from_dict
return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
AttributeError: 'str' object has no attribute 'items'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.
Nebula Image Dataset
Overview
This dataset contains a collection of images depicting various types of nebulas. Nebulas are large, diffuse astronomical objects composed of ionized gases, dust, and plasma. They are often found near star-forming regions and are an important part of the life cycle of stars.
Dataset Description
The dataset includes about one hundred high-resolution images of different nebulas, such as emission nebulas, reflection nebulas, and planetary nebulas. The images were collected from public astronomical sources and have been carefully curated to ensure high quality and diversity.
Data Format
The dataset is stored in the Parquet file format, which is a columnar data format that provides efficient storage and query performance. The Parquet file contains a single column, train, which holds the file paths to the individual nebula images.
Usage
You can use this dataset for a variety of machine learning and computer vision tasks, such as:
- Nebula classification
- Nebula segmentation
- Nebula generation or synthesis
- Astronomical image processing and analysis
To get started, cite the datasets section.
License
This dataset is licensed under the MIT License. You are free to use, modify, and distribute the data as long as you provide attribution.
Datasets
from datasets import load_dataset
config.dataset_name = "nroggendorff/nebulae"
dataset = load_dataset(config.dataset_name, split="image")
Acknowledgements
The images in this dataset were collected from various public astronomical sources. We would like to thank the astronomers and organizations who have contributed to the advancement of our understanding of nebulas and other celestial phenomena.
- Downloads last month
- 59