assets-3d-sample / README.md
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---
license: cc-by-sa-4.0
dataset_info:
features:
- name: id
dtype: string
- name: name
dtype: string
- name: preview
dtype: image
- name: category
dtype: string
- name: width
dtype: float32
- name: height
dtype: float32
- name: depth
dtype: float32
- name: modelURL
dtype: string
splits:
- name: train
num_bytes: 9825304
num_examples: 100
download_size: 9816596
dataset_size: 9825304
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
extra_gated_prompt: >-
You agree to use this dataset only for non-commercial use and to be able to
have a sample of what Nfinite can provide.
extra_gated_fields:
Company: text
I want to use this dataset for:
type: select
options:
- See What Nfinite can provide me
- Research
- Education
- label: Other
value: other
I agree to use this dataset for non-commercial use ONLY: checkbox
---
# nfinite-assets-3d-sample
**Version of the release:** 1.0.0-alpha
**Release date:** 2024/09/10
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Dataset Creation](#dataset-creation)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Additional Information](#additional-information)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Q&A](#q-a)
## Dataset Description
- **Homepage:** [nfinite-assets-3d-sample homepage](https://www.nfinite.ai/)
- **Repository:** [nfinite-assets-3d-sample repository](https://huggingface.co/datasets/Nfiniteai/nfinite-assets-3d-sample)
- **Point of Contact:** [Guillaume Hertault](mailto:[email protected])
### Dataset Summary
The nfinite-assets-3d-sample dataset is a dataset of 3D models for objects usually found in the home & living room space.
Those 3D models are generic models, from any IP (as explained in the **Personal and Sensitive Information** part, any resemblance to an object from real life is purely coincidental).
The dataset was created to showcase Nfinite capabilities in 3D assets creation
### Dataset Structure
The dataset can be load as explained in [Huggingface documentation](https://huggingface.co/docs/datasets/loading#load)
The 3D models are not embedded in the dataset, only a download link is available
You can also use a more "conventional way" to get all the data by cloning this repository.
In the `raw` directory you can find a `metadata.json` file at the root that lists all the assets (with all the related metadata)
You can also find a `metadata.json` in each assets directory that summarize the metadata for the asset
## Data Fields
- `id`: internal reference of the asset
- `name`: name of the asset
- `preview`: PNG preview of the asset
- `category`: category of the asset
- `width`: width in meter of the asset
- `height`: height in meter of the asset
- `depth`: depth in meter of the asset
- `modelURL` _(only in huggingface dataset)_: download URL of the asset
- `modelPath` _(only in repository "raw" dataset)_: relative path of the asset
- `previewPath` _(only in repository "raw" dataset)_: relative path of the preview of the asset
### Dataset Creation
#### Personal and Sensitive Information
All the objects used for the 3D model are generic, property of nfinite. Any resemblance is purely coincidental and not the result of a deliberate action.
The corpora is free of personal or sensitive information.
### Additional Information
#### Licensing Information
The dataset is licensed under the **Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA)** licence (https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en).
This license lets you remix, tweak, and build upon the work **non-commercially**, as long as you credit nfinite and license your new creations under the identical terms.
#### Citation Information
```
@inproceedings{nfinite-lrp-1,
author = {Guillaume Hertault, Loïc Toungoue, Jean-Philippe Deblonde},
editor = {nfinite R&D Team},
title = {nfinite A3S01: nfinite-assets-3d-sample},
year = {2024}
}
```
### Q&A
If you have any inquiry about this dataset, feel free to contact us.
If you see any mistake or incomplete information in the dataset, contact us, and we will update it.