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01reasoning-core /procedural-pile Task gallery · Source · Paper · RLVR dataset Procedural Pile is a synthetic corpus of verifiable reasoning problems generated by Reasoning Core. It is intended for continued pretraining, mid-training, and supervised fine-tuning. Answers come from procedural generators and task-specific solvers or checkers, rather than language-model generation. The corpus spans mathematics, formal logic, planning, graphs, parsing, code, structured data, and other symbolic domains. Difficulty… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-core/procedural-pile.texttext-generation10M<n<100M8 likes2k downloads2mo agoHugging Face02rdoerfler /procedural-engine-sounds Procedural Engine Sounds Dataset (Official) ⚠️ Canonical Source This is the original and official release of the Procedural Engine Sounds Dataset, created by Robin Doerfler: Project page (start here): https://rdoerfler.github.io/procedural-engine-sounds-page/ Hugging Face repository: https://huggingface.co/datasets/rdoerfler/procedural-engine-sounds Zenodo DOI (primary citation): https://doi.org/10.5281/zenodo.16883336 Other versions of this dataset on… See the full description on the dataset page: https://huggingface.co/datasets/rdoerfler/procedural-engine-sounds.audioaudio-to-audio1K<n<10K3 likes978 downloads12d agoHugging Face03procedural-robotics /factory-manipulation-videos Factory manipulation videos Procedural Robotics is open sourcing a small set of our factory data so teams can assess its quality. The videos show workers performing factory tasks. Contents Seven continuous takes, 109 minutes in total. Task Station Worker Duration File cardboard manipulation 01 041 23.6 min cardboard_manipulation_station01_worker041.mp4 cardboard manipulation 04 026 16.5 min cardboard_manipulation_station04_worker026.mp4 defect… See the full description on the dataset page: https://huggingface.co/datasets/procedural-robotics/factory-manipulation-videos.tabularvideo-classification100K<n<1M1 likes432 downloads16d agoHugging Face04sahal-mulki /procedural-truth-dataset0 likes386 downloads3d agoHugging Face05sniper-qian /procedural_2000_10tabular1M<n<10M0 likes319 downloads2mo agoHugging Face06zwcolin /mental_rotation_3d_procedural_v2tabular100K<n<1M0 likes234 downloads1y agoHugging Face07jp-cypress /Procedural-City-Multimodal-Dataset-V2 Synthetic Urban Multimodal Dataset - Volume 2 (v0.2) This is the second major release of the Synthetic Urban Multimodal Dataset, part of an ongoing observation project on AI-generated data ecosystems. Volume 2 introduces a completely new collection of urban environments to the series, providing 40,000 high-precision files (8,000 completely new unique scenes × 5 modalities) generated entirely via the "Constructive Furnace" (our custom Blender-Python pipeline). What's New… See the full description on the dataset page: https://huggingface.co/datasets/jp-cypress/Procedural-City-Multimodal-Dataset-V2.imageimage-to-image1K<n<10K0 likes188 downloads5mo agoHugging Face08jp-cypress /Procedural-City-Multimodal-Dataset Synthetic Urban Multimodal Dataset (v0.1) This dataset contains 8,000 high-quality synthetic images of procedurally generated city models, designed specifically for training and evaluating AI models such as ControlNet and LoRA. Dataset Description All assets were generated using a custom Blender-Python automated pipeline. The dataset provides 100 unique urban architectures, each rendered from 8 directions with 10 different artistic styles. Total Samples: 8,000 (Total 40… See the full description on the dataset page: https://huggingface.co/datasets/jp-cypress/Procedural-City-Multimodal-Dataset.imageimage-to-image1K<n<10K0 likes181 downloads5mo agoHugging Face09zwcolin /mental_rotation_3d_proceduraltabular10K<n<100K0 likes146 downloads1y agoHugging Face10Emulated-Inc /procedural-reasoning-training-pool Procedural reasoning training pool Reasoning questions from 101 procedural generators, each of which writes a question, computes its own answer and ships a verifier that scores an attempt at it, plus a collection of solved Sudoku puzzles. Every answer is short and exactly checkable, so a trained model can be marked against the key by a program and no judge is needed. Laid out twice. Train on either layer or on both. pool.jsonl Every generator rewritten into one… See the full description on the dataset page: https://huggingface.co/datasets/Emulated-Inc/procedural-reasoning-training-pool.texttext-generation100K<n<1M0 likes97 downloads10d agoHugging Face11reasoning-core /procedural-warmuptext1M<n<10M0 likes83 downloads2mo agoHugging Face12huggingbear12 /procedural-engine-sounds Procedural Engine Sounds Dataset Dataset Description The Procedural Engine Sounds Dataset is a comprehensive collection of synthetically generated and annotated engine audio samples. This dataset contains procedurally generated high-resolution engine sounds free of confounding noises, with detailed time-aligned annotations, designed for research in audio processing, vehicle acoustics, and synthetic sound generation. Associated Publication The dataset and… See the full description on the dataset page: https://huggingface.co/datasets/huggingbear12/procedural-engine-sounds.audioaudio-to-audio1K<n<10K1 likes63 downloads6mo agoHugging Face13THULab /procedural_2000_10 procedural_2000_10 (TsFile) Apache TsFile version of sniper-qian/procedural_2000_10. Converted rows: 1,716,102 Data files: ['data/procedural_2000_10.tsfile'] Usage Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file: from pathlib import Path from tsfile import TsFileReader path = Path("data/procedural_2000_10.tsfile") with TsFileReader(str(path)) as reader: schemas = reader.get_all_table_schemas() print("tables:"… See the full description on the dataset page: https://huggingface.co/datasets/THULab/procedural_2000_10.timeseriestime-series-forecasting0 likes44 downloads5d agoHugging Face14yzq777 /Procedural_Questionstext1K<n<10K0 likes43 downloads11mo agoHugging Face15ClarusC64 /clinical-5node-sedation-buf-lag-cpl-procedural-sedation-resp-suppression-v0.1 What this repo does This dataset models a procedural sedation respiratory suppression cascade by measuring when sedation pressure rises, respiratory buffer capacity erodes, monitoring and escalation lags increase, and cross-team coupling tightens across procedure settings, crossing a phase transition into an unrecoverable respiratory suppression cascade state. Core quad sedationbuflagcpl Prediction target label_cascade_state Row structure One row… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-5node-sedation-buf-lag-cpl-procedural-sedation-resp-suppression-v0.1.tabulartext-classificationn<1K0 likes28 downloads7mo agoHugging Face16trungdev /procedural-engine-sounds Procedural Engine Sounds Dataset Dataset Description The Procedural Engine Sounds Dataset is a comprehensive collection of synthetically generated and annotated engine audio samples. This dataset contains procedurally generated high-resolution engine sounds free of confounding noises, with detailed time-aligned annotations, designed for research in audio processing, vehicle acoustics, and synthetic sound generation. Associated Publication The dataset and… See the full description on the dataset page: https://huggingface.co/datasets/trungdev/procedural-engine-sounds.audioaudio-to-audio1K<n<10K0 likes26 downloads6mo agoHugging Face17sethapun /procedural_gen_3operands Dataset Card for "procedural_gen_3operands" More Information needed text1K<n<10K0 likes16 downloads3y agoHugging Face18Cenedril /Skillex-Procedural_memory_Matrixtextn<1K0 likes14 downloads2mo agoHugging Face19sethapun /procedural_gen Dataset Card for "procedural_gen" More Information needed text1K<n<10K0 likes13 downloads3y agoHugging Face20sethapun /procedural_gen_4operands Dataset Card for "procedural_gen_4operands" More Information needed text1K<n<10K0 likes10 downloads3y agoHugging Face21sethapun /procedural_gen_2operands_1to5 Dataset Card for "procedural_gen_2operands_1to5" More Information needed text1K<n<10K0 likes9 downloads3y agoHugging Face22cometadata /datacite-procedural-resource-type-general-reclassifications-datacite-enrichment-formattext1M<n<10M0 likes7 downloads5mo agoHugging Face23Xinyi4869 /procedural-shape0 likes6 downloads1mo agoHugging Face24krvieni /ML-Based-Procedural-Sound-Design ML-Based Procedural Sound Design Artifacts This repository stores large experiment artifacts for the ML-Based-Procedural-Sound-Design project. Contents explosion_dataset.zip: Full explosion dataset embeddings_630k_audioset.zip: CLAP-based embedding outputs used in the project kmeans_results.zip: K-means clustering outputs and related result files Notes This repository is used for artifact storage only. Source code, evaluation figures, documentation, and the… See the full description on the dataset page: https://huggingface.co/datasets/krvieni/ML-Based-Procedural-Sound-Design.audion<1K0 likes5 downloads5mo agoHugging Face25sethapun /procedural_gen_2operands Dataset Card for "procedural_gen_2operands" More Information needed text1K<n<10K0 likes4 downloads3y agoHugging Face26cometadata /datacite-procedural-resource-type-general-reclassifications DataCite DOI Procedural Reclassifications Overview This dataset contains procedural reclassifications of DataCite DOIs where the resourceTypeGeneral field is either "Text" or "Other". The dataset maps these DOIs to more specific resourceTypeGeneral classifications based on fuzzy matching of the resourceType field against DataCite's controlled vocabulary for this field. Dataset Structure Each instance represents a DOI with its original and inferred resource… See the full description on the dataset page: https://huggingface.co/datasets/cometadata/datacite-procedural-resource-type-general-reclassifications.text1M<n<10M0 likes4 downloads1y agoHugging Face27sistasaathvik /gsm_procedural_knowledge_base0 likes4 downloads3mo agoHugging Face28adityakorade /procedural_doctext1K<n<10K0 likes3 downloads2y agoHugging Face29sistasaathvik /gsm_procedural_knowledge_base_small0 likes2 downloads3mo agoHugging Face

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