datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pcglm
Readme
pc_gpu_franka_ik.jointtarget_20hz_20260906This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 20,
"features": {
"observation.images.front": {
"dtype": "video",
"shape": [
480,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height":… See the full description on the dataset page: https://huggingface.co/datasets/EmbodiedSWE/pc_gpu_franka_ik.jointtarget_20hz_20260906.exp251112_quali_samples_pcgrad_dspc_gpu_ram_franka_osc.jointpos_15hz_20260907This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "assembly.pc_gpu_ram.franka.osc",
"total_episodes": 600,
"total_frames": 1400130,
"total_tasks": 3,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 78,
"fps": 15,
"splits": {
"train": "0:600"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/EmbodiedSWE/pc_gpu_ram_franka_osc.jointpos_15hz_20260907.pc_gpu_franka_osc.jointpos_15hz_20260907This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "assembly.pc_gpu.franka.osc",
"total_episodes": 600,
"total_frames": 1128960,
"total_tasks": 5,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 81,
"fps": 15,
"splits": {
"train": "0:600"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet"… See the full description on the dataset page: https://huggingface.co/datasets/EmbodiedSWE/pc_gpu_franka_osc.jointpos_15hz_20260907.pc_gpu_franka_osc.raw_15hz_20260907
pc_gpu — 200 demonstrations (assembly.pc_gpu.franka.osc)
Generated by the CoSiGen data_gen ladder (gen_o50_v3): {'scene': 5, 'strategy': 20, 'phase': 50} -> physics set of
200 episodes, every one replay-verified (200/200): the recorded
actions, fed back open-loop into the rebuilt world under the recorded control law, reproduce the
task's success. Seed solution: CoSiGen_Solutions/assembly/pc_gpu/franka/osc@8d74c75.
scenes/cells: 5 scene variants, 11 cells… See the full description on the dataset page: https://huggingface.co/datasets/EmbodiedSWE/pc_gpu_franka_osc.raw_15hz_20260907.pcg_ext_datasetduet-pcg-v1
MultiWorld Duet PCG v1
2-player procedural-generation Minecraft gameplay dataset. Companion to duet-oov-scripted-v1 with added world + task diversity for the MultiWorld paper.
Overview
Episodes: ~1,700 (3,400+ player streams)
Format: Solaris-compatible sharded WebDataset TARs
Resolution: 1280×720 @ 20 FPS
World diversity: 20 config combos × mixed flat/normal worlds × 5 biomes (plains, snowy_plains, desert, badlands, mushroom_fields)
Task diversity: 10 episode types (4… See the full description on the dataset page: https://huggingface.co/datasets/machinaExMachina/duet-pcg-v1.ECG_PCGpc_gpu_ram_franka_osc.raw_15hz_20260907
pc_gpu_ram — 200 demonstrations (assembly.pc_gpu_ram.franka.osc)
Generated by the CoSiGen data_gen ladder (gen_o50_v3): {'scene': 5, 'strategy': 20, 'phase': 50} -> physics set of
200 episodes, every one replay-verified (200/200): the recorded
actions, fed back open-loop into the rebuilt world under the recorded control law, reproduce the
task's success. Seed solution: CoSiGen_Solutions/assembly/pc_gpu_ram/franka/osc@8d74c75.
scenes/cells: 5 scene variants, 15 cells… See the full description on the dataset page: https://huggingface.co/datasets/EmbodiedSWE/pc_gpu_ram_franka_osc.raw_15hz_20260907.ECG_PCGeval_test_ema0.98_pcg0.1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 10,
"total_frames": 4110,
"total_tasks": 1,
"total_videos": 30,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:10"
},
"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/shylee/eval_test_ema0.98_pcg0.1.pcg-chickens-transform-013pcg-classification-datasetpcgrad-imdb-ppo-eval-prop0.2-alpha1.0-seed42-mean_kl0.1-EleutherAI-pythia-160mpcgrad-imdb-ppo-eval-prop0.2-alpha1.0-seed42-mean_kl0.05-EleutherAI-pythia-160m-lr1.4e-5pcg-chickens-transform-015pcg-chickens-transform-011pcg-chickens-transform-014Topological-PCG-Evaluator-Framework_Datasetlicense: mit
task_categories:
graph-ml
zero-shot-classificationlanguage:
entags:
procedural-content-generation
pcg
graph-neural-networks
r-gcn
llm-hallucinations
game-development
anti-cheatsize_categories:
100K<n<1M
Dataset Card for Temporal PCG Topology Dataset (2048-Node Hard Negatives)
This dataset is a deterministic, heterogeneous graph dataset designed to train Graph Neural Networks (specifically R-GCNs) to mathematically detect and reject LLM… See the full description on the dataset page: https://huggingface.co/datasets/jayasankarrr/Topological-PCG-Evaluator-Framework_Dataset.PCG-signalspcg-chickens-transformpcg-vectorstorespcg-chickens-basicpcgrad-imdb-ppo-eval-prop0.3-alpha1.0-seed43-mean_kl0.1-gpt2pcg-chickens-transform-012UE-PCG-QAData contain 5Q&A for simple RAG, based on UE PCG node reference & UE PCG API
pcgrad-imdb-ppo-eval-prop0.4-alpha1.0-seed43-mean_kl0.1-gpt2exp251112_quali_samples_pcgradPC_GMM_Data