pam
Datasets
All datasets matching “pam”PAMIPPAM_data
PAM19
PAM19 is a real-world Franka Panda tactile-manipulation dataset containing
1,904 trajectories across 19 tasks. Demonstrations were collected in joint
space with two RGB cameras and two Xense vision-based tactile sensors, then
converted to FTP-1-compatible Zarr format.
The dataset follows the
Open-X-Tactile / FTP-1 data convention.
Dataset summary
Robot: Franka Panda with a parallel gripper
Tactile sensor: Xense, two gripper-side image streams
RGB streams:… See the full description on the dataset page: https://huggingface.co/datasets/cloudfan/PAM_data.PAMELA
PAM∃LA
Personalizing Text-to-Image Generation to Individual Taste
Anne-Sofie Maerten1,2,
Juliane Verwiebe2,
Shyamgopal Karthik2,
Ameya Prabhu2,
Johan Wagemans1,
Matthias Bethge2
1Tübingen AI Center, University of Tübingen
2Department of Brain and Cognition, KU Leuven
PAM∃LA is a dataset of AI-generated images rated by human participants for aesthetic quality. It pairs each rating with rich participant demographics… See the full description on the dataset page: https://huggingface.co/datasets/bethgelab/PAMELA.TDC_pampa_ncats
TDC PAMPA NCATS
PAMPA NCATS dataset [1], part of TDC [2] benchmark. It is intended to be used through
scikit-fingerprints library.
NCATS subset of PAMPA dataset.
PAMPA (parallel artificial membrane permeability assay) is an assay to evaluate drug permeability across the cellular membrane. The task models only the passive membrane diffusion. This is “NCATS” subset of the dataset created at National Center for Advancing Translational Sciences (NCATS).
This dataset is a part of… See the full description on the dataset page: https://huggingface.co/datasets/scikit-fingerprints/TDC_pampa_ncats.coconut-gsm8k-latents
COCONUT GSM8K latent caches (Part II)
Cached artifacts for Part II of pau_amargantialvarez_408221.ipynb — the interpretability analysis
of four latent-reasoning models on the GSM8K test split (N=1319). CPU-only: the notebook reads
these dumps; a RECOMPUTE toggle re-derives them on GPU from the checkpoints.
Current schema (per recompute in latent_lib.py): each latents_<tag>.pt is a dict with
acc, n, example_idx, report_name, and the per-slot tensors — latent_768 (parent) or… See the full description on the dataset page: https://huggingface.co/datasets/pamargantal/coconut-gsm8k-latents.wbes-faceembedding-repo-snapshot
WBES-FaceEmbedding Repository Snapshot
This dataset repository stores a compressed workspace snapshot for the WBES-FaceEmbedding NeurIPS 2026 submission repository.
Snapshot Contents
The archive is intended to preserve the local research codebase state, including:
repository documentation and helper scripts
face_embedding/ modeling, robustness, checkpoint, and evaluation artifacts
faceBench/ and faceBench/latentVSpipeline/
datasets/FaceVerse/ processing, evaluation, and… See the full description on the dataset page: https://huggingface.co/datasets/Pampaj/wbes-faceembedding-repo-snapshot.