datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pfinal_20260824_132051This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"… See the full description on the dataset page: https://huggingface.co/datasets/ai4y/pfinal_20260824_132051.ML_for_TwoSampleTesting
Machine Learning for Two-Sample Testing under Right-Censored Data: A Simulation Study
Petr PHILONENKO, Ph.D. in Computer Science;
Sergey POSTOVALOV, D.Sc. in Computer Science.
The paper can be downloaded here.
About
This dataset is a supplement to the github repositiry and paper addressed to solve the two-sample problem under right-censored observations using Machine Learning.
The problem statement can be formualted as H0: S1(t)=S2(t) versus H: S1(t)≠S_2(t) where S1(t)… See the full description on the dataset page: https://huggingface.co/datasets/pfilonenko/ML_for_TwoSampleTesting.