pkl
unknown | __key__
stringlengths 44
50
| __url__
stringclasses 3
values |
|---|---|---|
"gASV9gEAAAAAAAB9lCiMC29ic2VydmF0aW9ulH2UKIwLaGVhZF9jYW1lcmGUfZQojAxpbnRyaW5zaWNfY3aUjBVudW1weS5jb3J(...TRUNCATED)
|
data/block_hammer_beat_sf50_D435_pkl/episode0/27
| "/tmp/hf-datasets-cache/medium/datasets/72147554240402-config-parquet-and-info-yutengz-robotic-manip(...TRUNCATED)
|
"gASV9gEAAAAAAAB9lCiMC29ic2VydmF0aW9ulH2UKIwLaGVhZF9jYW1lcmGUfZQojAxpbnRyaW5zaWNfY3aUjBVudW1weS5jb3J(...TRUNCATED)
|
data/block_hammer_beat_sf50_D435_pkl/episode0/46
| "/tmp/hf-datasets-cache/medium/datasets/72147554240402-config-parquet-and-info-yutengz-robotic-manip(...TRUNCATED)
|
"gASV9gEAAAAAAAB9lCiMC29ic2VydmF0aW9ulH2UKIwLaGVhZF9jYW1lcmGUfZQojAxpbnRyaW5zaWNfY3aUjBVudW1weS5jb3J(...TRUNCATED)
|
data/block_hammer_beat_sf50_D435_pkl/episode0/47
| "/tmp/hf-datasets-cache/medium/datasets/72147554240402-config-parquet-and-info-yutengz-robotic-manip(...TRUNCATED)
|
"gASV9gEAAAAAAAB9lCiMC29ic2VydmF0aW9ulH2UKIwLaGVhZF9jYW1lcmGUfZQojAxpbnRyaW5zaWNfY3aUjBVudW1weS5jb3J(...TRUNCATED)
|
data/block_hammer_beat_sf50_D435_pkl/episode0/48
| "/tmp/hf-datasets-cache/medium/datasets/72147554240402-config-parquet-and-info-yutengz-robotic-manip(...TRUNCATED)
|
"gASV9gEAAAAAAAB9lCiMC29ic2VydmF0aW9ulH2UKIwLaGVhZF9jYW1lcmGUfZQojAxpbnRyaW5zaWNfY3aUjBVudW1weS5jb3J(...TRUNCATED)
|
data/block_hammer_beat_sf50_D435_pkl/episode0/49
| "/tmp/hf-datasets-cache/medium/datasets/72147554240402-config-parquet-and-info-yutengz-robotic-manip(...TRUNCATED)
|
"gASV9gEAAAAAAAB9lCiMC29ic2VydmF0aW9ulH2UKIwLaGVhZF9jYW1lcmGUfZQojAxpbnRyaW5zaWNfY3aUjBVudW1weS5jb3J(...TRUNCATED)
|
data/block_hammer_beat_sf50_D435_pkl/episode0/5
| "/tmp/hf-datasets-cache/medium/datasets/72147554240402-config-parquet-and-info-yutengz-robotic-manip(...TRUNCATED)
|
"gASV9gEAAAAAAAB9lCiMC29ic2VydmF0aW9ulH2UKIwLaGVhZF9jYW1lcmGUfZQojAxpbnRyaW5zaWNfY3aUjBVudW1weS5jb3J(...TRUNCATED)
|
data/block_hammer_beat_sf50_D435_pkl/episode0/50
| "/tmp/hf-datasets-cache/medium/datasets/72147554240402-config-parquet-and-info-yutengz-robotic-manip(...TRUNCATED)
|
"gASV9gEAAAAAAAB9lCiMC29ic2VydmF0aW9ulH2UKIwLaGVhZF9jYW1lcmGUfZQojAxpbnRyaW5zaWNfY3aUjBVudW1weS5jb3J(...TRUNCATED)
|
data/block_hammer_beat_sf50_D435_pkl/episode0/51
| "/tmp/hf-datasets-cache/medium/datasets/72147554240402-config-parquet-and-info-yutengz-robotic-manip(...TRUNCATED)
|
"gASV9gEAAAAAAAB9lCiMC29ic2VydmF0aW9ulH2UKIwLaGVhZF9jYW1lcmGUfZQojAxpbnRyaW5zaWNfY3aUjBVudW1weS5jb3J(...TRUNCATED)
|
data/block_hammer_beat_sf50_D435_pkl/episode0/52
| "/tmp/hf-datasets-cache/medium/datasets/72147554240402-config-parquet-and-info-yutengz-robotic-manip(...TRUNCATED)
|
"gASV9gEAAAAAAAB9lCiMC29ic2VydmF0aW9ulH2UKIwLaGVhZF9jYW1lcmGUfZQojAxpbnRyaW5zaWNfY3aUjBVudW1weS5jb3J(...TRUNCATED)
|
data/block_hammer_beat_sf50_D435_pkl/episode0/53
| "/tmp/hf-datasets-cache/medium/datasets/72147554240402-config-parquet-and-info-yutengz-robotic-manip(...TRUNCATED)
|
End of preview. Expand
in Data Studio
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
Robotic Manipulation Dataset
This dataset contains multimodal data collected from real-world robotic manipulation tasks using a D435 depth camera and additional sensors. It is intended to support research in robot learning, perception, manipulation planning, and imitation learning.
Usage Examlpes
For usage examples, evaluation metrics, and fine-tuning code on this dataset, please refer to:
Robotic Action Frame Prediction
π Dataset Structure
The dataset is organized into three task categories, each stored in a compressed .tar.gz archive:
block_hammer_beat_sf50_D435_pkl.tar.gz: hammering task with block objectblock_handover_sf50_D435_pkl.tar.gz: block handover task between robots or human-robotblocks_stack_easy_sf50_D435_pkl.tar.gz: simple block stacking task
After decompression, each archive contains multiple episodes (folders), where each episode stores sensor recordings and metadata.
Each Episode Contains:
rgb/β RGB images captured by the D435 cameradepth/β depth imagesmeta.pklβ metadata including timestamp, camera pose, robot state, etc.- (optional) other
.pklfiles recording joint states, gripper states, and actions
π₯ Download
You can download and extract the full dataset using the following Bash script:
mkdir -p original_data
wget https://huggingface.co/datasets/yutengz/robotic-manipulation-dataset/resolve/main/block_hammer_beat_sf50_D435_pkl.tar.gz
wget https://huggingface.co/datasets/yutengz/robotic-manipulation-dataset/resolve/main/block_handover_sf50_D435_pkl.tar.gz
wget https://huggingface.co/datasets/yutengz/robotic-manipulation-dataset/resolve/main/blocks_stack_easy_sf50_D435_pkl.tar.gz
tar -xzf block_hammer_beat_sf50_D435_pkl.tar.gz -C original_data/
tar -xzf block_handover_sf50_D435_pkl.tar.gz -C original_data/
tar -xzf blocks_stack_easy_sf50_D435_pkl.tar.gz -C original_data/
rm *.tar.gz
- Downloads last month
- 32