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/json/json.py", line 91, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 193, in _generate_tables
examples = [ujson_loads(line) for line in batch.splitlines()]
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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.
This dataset is in construction. The current files are raw scans intended for establishing the structure. Using them? Help us clean them up or identify the brands by consulting the CONTRIBUTING.md guide.
GUI for contributions
https://setrsoft.github.io/holds-dataset-hub/
Climbing Holds 3D dataset (SetRsoft)
📋 Project Overview
This dataset is a community-driven open-source dataset of 3D-scanned climbing holds and walls. It is designed to work seamlessly with the SetRsoft application, providing route setters and gym managers with high-quality assets for 3D route setting and inventory management.
📂 Structure
The dataset follows a strict directory-based structure to ensure portability and ease of integration:
data/
├── [hold_id]/
├──── hold.glb # Web-ready 3D model (or .obj, .stl)
├──── hold.blend # Source file for editing in Blender (optional)
├──── texture.png # Texture (PNG, JPG, etc.)
├──── images/ # Optional: photos for generation, reference images (e.g. dimensions)
├──── └── *.png, *.jpg, ...
└──── metadata.json # Hold specifications (brand, model, size, status, note, etc.)
Accepted file formats in each hold directory:
- 3D mesh:
.glb,.gltf,.obj,.stl(at least one required for a complete hold). - Textures:
.png,.jpg,.jpeg,.tga,.bmp,.webp(optional). - images/ subfolder: photos used for generation and reference images (e.g. dimensions); any common image format.
Example of metadata.json :
Use timestamps (Unix epoch in seconds) for created_at and last_update, please specify the timezone offset timezone_offset).
Optional fields: note (contributor notes or text about the hold), status (workflow state: to_render, to_clean, or to_identify).
{
"id": 1,
"hold_id": "0000000001",
"created_at": 1721573121,
"last_update": 1721573121,
"timezone_offset": "+01:00",
"type": "volume",
"labels": ["XXL", "slopper"],
"color_of_scan": "#FF3200",
"available_colors": ["#FF3200"],
"manufacturer": "trikit",
"model": "unknown",
"size": "XL",
"note": "Optional notes about this hold.",
"status": "to_clean"
}
Status values: to_render (only photos, no mesh yet), to_clean (GLB/Blend present but hold not cleaned), to_identify (brand or model not in allowed references).
⚖️ License & Intellectual Property
Dataset License: CC-BY-SA-4.0.
Important Note: The 3D shapes of certain holds remain the intellectual property of their respective manufacturers. This dataset is provided for educational and gym management purposes. Commercial reproduction (such as 3D printing for sale) of branded shapes is strictly prohibited and governed by industrial design laws.
🔗 Related Projects
- SetRSoft App: GitHub Repository — The main application logic (GPLv3).
- Website: setrsoft.com.
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