Data Scaling Laws UMI datasets (Fanqi-Lin/Processed-Task-Dataset, GoPro-Raw-Videos)

Name: Data Scaling Laws UMI datasets (Fanqi-Lin/Processed-Task-Dataset, GoPro-Raw-Videos)
Creator: Fanqi Lin et al. (Data Scaling Laws authors)
License: MIT (raw video repo)

From the catalogue. Listed by one researcher from one source page.

id: data-scaling-laws-umi-datasets-fanqi-lin-processed-task-dataset-gopro-
kind: handheld gripper
robot or device: UMI handheld gripper with GoPro (class: other)
how collected: handheld gripper, not teleop
size as stated: 4 tasks; 32 environment-object pairs per task with 120 or 60 demos per pair, plus 16 environments x 4 objects x 120 for two tasks
hours: not stated | hours only claimed: none | episodes: not stated
year: 2024
organisation: Fanqi Lin et al. (Data Scaling Laws authors)
licence: MIT (raw video repo) (class: open)
access: open (class: open)
link (dataset): https://huggingface.co/datasets/Fanqi-Lin/Processed-Task-Dataset
Hugging Face repository: Fanqi-Lin/Processed-Task-Dataset, 1,315 downloads in 30 days, https://huggingface.co/datasets/Fanqi-Lin/Processed-Task-Dataset
note: Pour water, arrange mouse, fold towel, unplug charger; raw and processed.
download links of one episode: https://datasets.gurasees.com/episodes/Fanqi-Lin/Processed-Task-Dataset.md?episode=0

Confirm the licence at the link before relying on it.