Tooth
Qwen2.5-0.5B-Instruct-Gensyn-Swarm-grunting_toothy_elkAceInstruct-1.5B-Gensyn-Swarm-toothy_crested_snaildama-aibrainToothXpertQwen2.5-0.5B-Instruct-Gensyn-Swarm-toothy_smooth_aardvarkQwen2.5-0.5B-Instruct-Gensyn-Swarm-pensive_toothy_ramtooth-agenesis-siglip2Qwen3-0.6B-Gensyn-Swarm-toothy_robust_locust
Datasets
All datasets matching “Tooth”pack_toothbrush_Nov19-advantages
Advantage Values for villekuosmanen/pack_toothbrush_Nov19
Pre-computed advantage values for offline RL training.
Source
Dataset: villekuosmanen/pack_toothbrush_Nov19
Value Model: villekuosmanen/rewact_toothbrush_pistar_1.5.0
N-step lookahead: 50
Files
This dataset contains per-episode parquet files with advantage values for each frame.
Usage
from pathlib import Path
import pandas as pd
# Load advantages for a specific episode
advantage_df =… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/pack_toothbrush_Nov19-advantages.dAgger_pack_toothbrush_Nov26-advantages
Advantage Values for villekuosmanen/dAgger_pack_toothbrush_Nov26
Pre-computed advantage values for offline RL training.
Source
Dataset: villekuosmanen/dAgger_pack_toothbrush_Nov26
Value Model: villekuosmanen/rewact_toothbrush_pistar_1.5.0
N-step lookahead: 50
Files
This dataset contains per-episode parquet files with advantage values for each frame.
Usage
from pathlib import Path
import pandas as pd
# Load advantages for a specific episode… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/dAgger_pack_toothbrush_Nov26-advantages.dAgger_pack_toothbrush_Nov22-advantages
Advantage Values for villekuosmanen/dAgger_pack_toothbrush_Nov22
Pre-computed advantage values for offline RL training.
Source
Dataset: villekuosmanen/dAgger_pack_toothbrush_Nov22
Value Model: villekuosmanen/rewact_toothbrush_pistar_1.5.0
N-step lookahead: 50
Files
This dataset contains per-episode parquet files with advantage values for each frame.
Usage
from pathlib import Path
import pandas as pd
# Load advantages for a specific episode… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/dAgger_pack_toothbrush_Nov22-advantages.STS-3D-Tooth
STS-3D-Tooth
The 3D Cone-Beam CT (CBCT) subset of the STS (Semi-supervised Teeth
Segmentation) multi-modal dental dataset, as released in
Wang et al., Scientific Data 12, 117 (2025)
and used in the MICCAI 2023/2024 STS Challenges.
The companion 2D panoramic X-ray subset is hosted at
Angelou0516/STS-2D-Tooth.
Dataset Summary
Field
Details
Modality
Cone-Beam CT (CBCT), NIfTI (.nii.gz)
Body Part
Teeth (32 permanent teeth, FDI numbering)
Volumes
371… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/STS-3D-Tooth.pack_toothbrush_Nov26-advantages
Advantage Values for villekuosmanen/pack_toothbrush_Nov26
Pre-computed advantage values for offline RL training.
Source
Dataset: villekuosmanen/pack_toothbrush_Nov26
Value Model: villekuosmanen/rewact_toothbrush_pistar_1.5.0
N-step lookahead: 50
Files
This dataset contains per-episode parquet files with advantage values for each frame.
Usage
from pathlib import Path
import pandas as pd
# Load advantages for a specific episode
advantage_df =… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/pack_toothbrush_Nov26-advantages.toothbrush-v2-dataset
Toothbrushing Detection Dataset (v2)
Video and image data for detecting toothbrushing behavior, collected for a Raspberry Pi Zero 2W toothbrush-detection project (toothbrush_v2). A single-class object detector is trained on this data to output [x, y, w, h, confidence] for the toothbrush in frame.
Dataset structure
Files are packed into tar shards (rather than uploaded individually) to stay within the Hub's per-repo file-count guidelines. To reconstruct the… See the full description on the dataset page: https://huggingface.co/datasets/Schrodin-purrrrr/toothbrush-v2-dataset.