datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Peregrine-Dataset-v2023-11
Peregrine v2023-11 — Layer-wise L-PBF Imaging Dataset
A HuggingFace-formatted conversion of the Peregrine v2023-11 dataset released by Oak Ridge National Laboratory's (ORNL) Manufacturing Demonstration Facility (MDF). The dataset contains layer-wise in-situ imaging, anomaly segmentation masks, laser scan paths, and process sensor data from 5 Laser Powder Bed Fusion (L-PBF) builds of stainless steel 316L.
Original dataset: Layer-wise Imaging Dataset from Powder Bed Additive… See the full description on the dataset page: https://huggingface.co/datasets/ppak10/Peregrine-Dataset-v2023-11.NIST-In-Situ-IN625-LPBF-OverhangsAgentic-SLS-ASTM
Agentic-SLS-ASTM
ASTM mechanical-test specimens (D638 tensile, D790 flex) printed on the Inova Mk1 SLS printer and pulled on an MTS / TestWorks Instron. Each row is a single specimen with full geometry, scalar results, stress–strain + raw DAQ curves, and — for SLS rows — FK references and an embedded snapshot of the upstream print profile from ppak10/Agentic-SLS-Database.
Rows are self-contained for ML use: the full PrintProfile JSON is inlined, so features (material/energy… See the full description on the dataset page: https://huggingface.co/datasets/ppak10/Agentic-SLS-ASTM.Additive-Manufacturing-Benchmark
Additive Manufacturing Benchmark
A benchmark dataset for evaluating knowledge of additive manufacturing (AM) processes, derived from graduate-level coursework at Carnegie Mellon University.
Configurations
general_knowledge_multiple_choice
Multiple-choice questions covering various AM processes with explanations.
Column
Description
source
Source homework assignment (e.g. cmu_24_633_2023/homework_1_exone)
process
AM process type (e.g. Binder Jet… See the full description on the dataset page: https://huggingface.co/datasets/ppak10/Additive-Manufacturing-Benchmark.AdditiveLLM2-OA
AdditiveLLM2-OA Dataset
Open Access journal articles (up to February 2026) used in domain adapting
pretraining and instruction tuning for AdditiveLLM2.
Dataset Split by Journal
text
images
vit
Vocabulary Overlap
Pairwise Jaccard similarity of word-level vocabularies (lowercase, 3+ letter tokens) across the four source journals. Run info/vocabulary/vocabulary_overlap.py to reproduce.
Top Phrases by Journal
Most frequent bigrams and… See the full description on the dataset page: https://huggingface.co/datasets/ppak10/AdditiveLLM2-OA.FLOW-3D-Single-Track
FLOW-3D-Single-Track
This dataset consists of LPBF (Laser Powder Bed Fusion) melt pool simulations performed using FLOW-3D. Each row is one timestep from one simulation case, containing process parameters, mesh metadata, a per-timestep field volume, and image previews.
Dataset Configs
Load a specific field config:
from datasets import load_dataset
ds = load_dataset("ppak10/FLOW-3D-Single-Track", "temperature")
Available configs:
Config
Volume Shape… See the full description on the dataset page: https://huggingface.co/datasets/ppak10/FLOW-3D-Single-Track.Agentic-SLS-Telemetry
Inova-Mk1-Telemetry
Time-aligned printer-state recordings from Inova Mk1 SLS 3D print runs. One row per 10 Hz tick — the recorder's /state/snapshot poll — with the full sensor state snapshot (~64 columns: temperatures, position, power, lights) on every row, the nearest camera frame embedded inline when one fell within the prior 100 ms window, and any 1 kHz position-stream samples from that window collected as a nested list.
25 parquet files across builds spanning 2026-05 through… See the full description on the dataset page: https://huggingface.co/datasets/ppak10/Agentic-SLS-Telemetry.SLS4All-BackupPPAPlace-5000
PPAPlace-5000
The official training dataset for PPAPlace: Differentiable Cross-Stage
Objectives for Chip Placement Optimization, accepted at the 2026 IEEE/ACM
International Conference on Computer-Aided Design (ICCAD 2026), by Ruogu Chen
and Jie Han of the University of Alberta.
PPAPlace paper on arXiv
| PPAPlace code and reproduction workflow
| Download files
| Citation
PPAPlace learns differentiable placement objectives from downstream physical
design outcomes rather than… See the full description on the dataset page: https://huggingface.co/datasets/ValleyC/PPAPlace-5000.ORNL-LPBF-Cylindersminecraft.ppak.netogbg-ppa
Dataset Card for ogbg-ppa
Dataset Summary
The ogbg-ppa dataset is "a set of undirected protein association neighborhoods extracted from the protein-protein association networks of 1,581 species", over 37 taxonomic groups, by teams at Stanford, to be a part of the Open Graph Benchmark. See their website for dataset postprocessing.
Supported Tasks and Leaderboards
ogbg-ppa should be used for taxonomic group prediction, a 37-way multi-class classification task.… See the full description on the dataset page: https://huggingface.co/datasets/OGB/ogbg-ppa.Gelsight-Welds
Gelsight-Welds
Paired tactile (GelSight Mini) and top-down RGB (Intel RealSense D555) captures of weld beads on a flat sample plate. Each sample (session) is scanned with a 10×10 grid of GelSight touches; the D555 takes one overhead shot per session, which we crop into per-tile RGB images aligned with each touch.
Loading
from datasets import load_dataset
ds = load_dataset("Gelsight-Welds", split="all") # uses config "v2" by default; no train/val/test split is… See the full description on the dataset page: https://huggingface.co/datasets/ppak10/Gelsight-Welds.LH-CDFIndicSafe
IndicSafe
Authors: Priyaranjan Pattnayak, Garima Panwar, and Sanchari Chowdhuri.
IndicSafe is a multilingual benchmark for evaluating large-language-model safety behavior across 12 South Asian languages. It contains 6,000 translated prompt rows: 500 source rows in each language, spanning harmful, harmless-control, and deliberately ambiguous categories.
Content warning: the benchmark contains prompts about hate, discrimination, violence, misinformation, political manipulation… See the full description on the dataset page: https://huggingface.co/datasets/ppattnay/IndicSafe.som2026AMT-FLOW-3D
AMT-FLOW-3D
This dataset consists of LPBF (Laser Powder Bed Fusion) melt pool simulations performed using FLOW-3D. Each row is one timestep from one simulation case, containing process parameters, mesh metadata, a per-timestep field volume, and image previews.
Dataset Configs
Load a specific field config:
from datasets import load_dataset
ds = load_dataset("ppak10/AMT-FLOW-3D", "temperature")
Available configs:
Config
Volume Shape
Description
temperature
(50… See the full description on the dataset page: https://huggingface.co/datasets/ppak10/AMT-FLOW-3D.aigamemusicAgentic-SLS-Conversations
Agentic-SLS-Conversations
Agent conversations from the Inova Mk1 agentic SLS system: every recorded
interaction between an agent harness (Claude Code, OpenCode, Codex CLI,
Antigravity CLI) and the printer's MCP tool surface — GUI chats, headless
one-shot runs, and (eventually) autonomous watchdog/reflector sessions.
All harnesses share the identical MCP tool set (printer control + build
knowledge base), which makes rows directly comparable across harness and
model — the core… See the full description on the dataset page: https://huggingface.co/datasets/ppak10/Agentic-SLS-Conversations.Agentic-SLS-Database
Agentic-SLS-Database
Canonical graph dataset of Inova Mk1 SLS printer entities: jobs, print sessions, print profiles, and objects (STL geometry). Each entity is its own HF config; relationships are encoded as ID references between rows.
Domain-specific datasets (e.g. ppak10/Agentic-SLS-ASTM) reference rows here by ID and may embed frozen snapshots of the referenced state.
Configs
Config
Description
Script
Output
jobs
One row per .s4a print job, with… See the full description on the dataset page: https://huggingface.co/datasets/ppak10/Agentic-SLS-Database.SS316L_small_10_micronmelt-pool-classificationppanggolin_pangenomics_helicobacter_pylori
Graph-Based Pangenomic Architecture of Helicobacter pylori Using PPanGGOLiN
Organism: Helicobacter pylori | Cohort: n = 41 complete RefSeq assemblies
Approach: Partitioned synteny graph pangenomics | Tool: PPanGGOLiN v2.2.6
Abstract
This repository provides a reproducible, end-to-end computational framework for defining the pangenomic landscape of Helicobacter pylori. Moving beyond traditional binary presence/absence matrices, this pipeline leverages… See the full description on the dataset page: https://huggingface.co/datasets/QasimHussain/ppanggolin_pangenomics_helicobacter_pylori.nr_ppar_gamma_tox21-multimodalstack_rings_finalrecord-blueThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100_follower",
"total_episodes": 3,
"total_frames": 2626,
"total_tasks": 1,
"total_videos": 6,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:3"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ppankti81/record-blue.loki-eval-datasetsom20253dprinting.stackexchange.comsports-samples
Sports Sensor Fusion Data Notes
Dataset summary
This repository contains a preparation pipeline and a small metadata sample for Sports work with Sensor Fusion inputs. It does not claim to be a complete benchmark release; the loader documents how source data is normalized and validated.
Included material
preprocess.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small… See the full description on the dataset page: https://huggingface.co/datasets/ppatelcallum/sports-samples.