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The info cannot be fetched for the config 'default' of the dataset.
Error code: InfoError
Exception: FileNotFoundError
Message: Couldn't find any data file at /src/services/worker/yeigen/pancreatic-cancer-ct-3d. Couldn't find 'yeigen/pancreatic-cancer-ct-3d' on the Hugging Face Hub either: LocalEntryNotFoundError: An error happened while trying to locate the file on the Hub and we cannot find the requested files in the local cache. Please check your connection and try again or make sure your Internet connection is on.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 223, in compute_first_rows_from_streaming_response
info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
builder = load_dataset_builder(
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1315, in load_dataset_builder
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1203, in dataset_module_factory
raise FileNotFoundError(
FileNotFoundError: Couldn't find any data file at /src/services/worker/yeigen/pancreatic-cancer-ct-3d. Couldn't find 'yeigen/pancreatic-cancer-ct-3d' on the Hugging Face Hub either: LocalEntryNotFoundError: An error happened while trying to locate the file on the Hub and we cannot find the requested files in the local cache. Please check your connection and try again or make sure your Internet connection is on.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.
PANORAMA — Pancreatic Cancer CT (3D)
Dataset original: Zenodo 13715870
Este dataset contiene 2238 scans CT con contraste (CECT) anonimizados de dos centros médicos en los Países Bajos, además de 194 casos del Medical Segmentation Decathlon y 80 del NIH. Fue creado para el PANORAMA Challenge, cuyo objetivo es validar el rendimiento de algoritmos de IA para la detección de adenocarcinoma ductal pancreático (PDAC).
- Formato: NIfTI comprimido (
.nii.gz) - Batch:
batch_1(49GB) - Modalidad: Contrast-Enhanced CT (CECT)
Cómo cargar un archivo
import nibabel as nib
from huggingface_hub import hf_hub_download
local_path = hf_hub_download(
repo_id="yeigen/pancreatic-cancer-ct-3d",
filename="ruta/al/scan.nii.gz",
repo_type="dataset",
)
img = nib.load(local_path)
volume = img.get_fdata() # shape: (H, W, D)
print(volume.shape)
Cita
@dataset{panorama2024,
title = {PANORAMA Public Training and Development Dataset},
doi = {10.5281/zenodo.13715870},
year = {2024}
}
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