Datasets:
Size:
10K - 100K
metadata
dataset_info:
features:
- name: image
dtype: image
- name: camera_pose
list: float32
length: 3
- name: primitive_types
list: int32
- name: primitive_thetas
list:
list: float32
length: 6
- name: file_id
dtype: string
- name: corners
list:
list: float64
splits:
- name: train
num_bytes: 340625803
num_examples: 15583
- name: validation
num_bytes: 41969124
num_examples: 1948
- name: test
num_bytes: 40891591
num_examples: 1948
download_size: 421983371
dataset_size: 423486518
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
Quick Start (One-Line Load)
from datasets import load_dataset
# 1. Load directly from the Hugging Face Hub
dataset = load_dataset("heoy567/abc_lines", split="train")
splits = dataset.train_test_split(test_size=0.2, seed=42)
train_data = splits["train"]
test_data = splits["test"]