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-OverhangsAdditive-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.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.PPAPlace-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.Agentic-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.SS316L_small_10_micronrecord-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.pp_allkomi-yazva-russian-parallel
komi-yazva-russian-parallel
This repository contains a sentence-level parallel corpus for Komi-Yazva to Russian translation.
Dataset structure
Split: train
Rows: 457
Stories: 74
Columns:
row_id: stable row identifier from the local pipeline
story_id: integer story identifier from the source spreadsheet
paragraph_id: integer paragraph identifier from the source spreadsheet
source_row_number: original 1-based spreadsheet row number (including header offset)
komi_yazva:… See the full description on the dataset page: https://huggingface.co/datasets/pparshakov/komi-yazva-russian-parallel.record-test3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 1,
"total_frames": 312,
"total_tasks": 1,
"total_videos": 1,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1"
},
"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/ppama/record-test3.ppAllTestppAllValNIST-AMMT-Overhang-Part-X4
Config Notes:
DAQ-XYPT-MPM
Data obtained from DAQ and XYPT are longer than that of MPM as such rows without
trigger activated will have the following changes to save space:
xypt_trigger > 0:
Shapes:
mpm_frame -> (1, 1)
mpm_approx_temp -> (1, 1)
xypt_trigger == 0:
Shapes:
mpm_frame -> (120, 120)
mpm_approx_temp -> (120, 120)
pp-attach-audio-taggedMelt-Pool-Thermal-Imagesnr_ppar_gamma_tox21
Dataset Details
Dataset Description
Tox21 is a data challenge which contains qualitative toxicity measurements
for 7,831 compounds on 12 different targets, such as nuclear receptors and stress
response pathways.
Curated by:
License: CC BY 4.0
Dataset Sources
corresponding publication
data source
assay name
Citation
BibTeX:
@article{Huang2017,
doi = {10.3389/fenvs.2017.00003},
url = {https://doi.org/10.3389/fenvs.2017.00003},
year = {2017}… See the full description on the dataset page: https://huggingface.co/datasets/jablonkagroup/nr_ppar_gamma_tox21.residual_heat_50_micronsppAllTrainRAISE-LPBF-Part-X16residual_heatsimulationresidual_heat_large