The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 246, in _split_generators
raise ValueError(
ValueError: `file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
LoRA-to-Space Example Inputs
A small curated set of freely-licensed images and videos used as input examples
in Gradio Spaces produced by the lora-to-space-skill.
When a Space takes media input (image-to-image, image-to-video, video-to-video),
the skill picks 2–3 assets from this dataset whose categories match the LoRA's
sub-task, downloads them via hf_hub_download, runs base-model-specific
preprocessing (trim/resize to expected shapes), and wires them into
gr.Examples. The Space ships with the preprocessed copies; this dataset is the
source of truth.
Contents
metadata.jsonl — one record per asset:
{"filename": "woman.jpg", "type": "image", "categories": ["portrait", "person"],
"width": 682, "height": 1024,
"source": "pexels-or-similar", "license": "free-to-use (CC0-style)"}
| Filename | Type | Categories |
|---|---|---|
| cake.jpg | image | object, food, still-life |
| dog.jpg | image | animal, portrait |
| landscape.jpg | image | landscape |
| woman.jpg | image | portrait, person |
| cat_on_a_tree.mp4 | video | animal, motion |
| couple_dancing.mp4 | video | motion, dance, person |
| landscape.mp4 | video | landscape, motion |
Source-shape constraints
Assets are stored at a sane upper bound (images: max 1024px on the long edge;
videos: max 720p, libx264 CRF 23). The skill resizes/trims further per base
model — e.g. LTX wants 8k+1 frames and dimensions divisible by 32, Qwen-Image
wants multiples of 8/16.
License
All assets are sourced from royalty-free providers (Pexels / Unsplash and similar) under licenses that permit redistribution and modification without attribution. Released here as CC0-1.0 for simplicity.
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