[BUG] Downloading dataset from HF HUB

[ankandrew]

Documentation says:

Detection Datasets

Loading detection datasets from the Hub is just as easy. For example, to load the MS COCO dataset, you can specify the detection_fields as "objects", which is the standard column name for detection features in Hugging Face datasets:

from fiftyone.utils.huggingface import load_from_hub

dataset = load_from_hub(
    "detection-datasets/coco",
    format="parquet",
    detection_fields="objects",
    max_samples=1000,
)

session = fo.launch_app(dataset)

The same syntax works for many other popular detection datasets on the Hub, including:

• CPPE - 5 (use "rishitdagli/cppe-5")
• WIDER FACE (use "CUHK-CSE/wider_face")
• License Plate Object Detection (use "keremberke/license-plate-object-detection")
• Aerial Sheep Object Detection (use "keremberke/aerial-sheep-object-detection")

But when trying it for the CUHK-CSE/wider_face seems it might not be able to consume it like the others. https://datasets-server.huggingface.co/splits?dataset=detection-datasets/coco endpoint from example is returning properly, but https://datasets-server.huggingface.co/splits?dataset=CUHK-CSE%2Fwider_face is not.

Code to reproduce:

import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub

dataset = load_from_hub(
    "CUHK-CSE/wider_face",
    format="parquet",
    detection_fields="objects",
    max_samples=1000,
)

if __name__ == "__main__":
    session = fo.launch_app(dataset)

Throws KeyError: 'splits' errror.

[ankandrew]

Running fiftyone==1.1.0.