metadata
dataset_info:
features:
- name: voxels_occupancy
dtype:
array4_d:
shape:
- 1
- 32
- 32
- 32
dtype: float32
- name: voxels_colors
dtype:
array4_d:
shape:
- 3
- 32
- 32
- 32
dtype: float32
- name: model_id
dtype: string
- name: class_label
dtype: string
- name: metadata
struct:
- name: is_augmented
dtype: bool
- name: original_file
dtype: string
- name: num_occupied
dtype: int32
- name: split
dtype: string
splits:
- name: train
num_bytes: 4738780384
num_examples: 10317
- name: test
num_bytes: 536451973
num_examples: 1147
download_size: 116855500
dataset_size: 5275232357
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
This dataset is a continuation of the BlockGen-3D dataset and has been specifically done for fine-tuning purposes. It is paired with simpler prompts (e.g., “banana,” “chair”) to enhance training efficiency and accuracy evalutation tasks. No augmentations.