datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SEMM-Latent-Telemetry
SEMM-Latent-Telemetry
Bare-metal hardware telemetry and SNN latent space routing data for neuromorphic quantization research. This dataset documents the discovery of Semantic Attractor Clustering — that a Spiking Neural Network physically routes different semantic concepts (abstract language vs code syntax vs math logic) into distinct, repeatable biological pathways when L2 Normalization is applied to LLM embeddings.
Hub ID: rmems/SEMM-Latent-TelemetryNames: SEMM = Spiking… See the full description on the dataset page: https://huggingface.co/datasets/rmems/SEMM-Latent-Telemetry.EDR_Telemetry_SampleThis dataset contains raw Endpoint Detection & Response (EDR) telemetry captured during controlled Deception.Pro malware sandbox operations on an enterprise Active Directory network. Unlike most malware sandboxes — which detonate samples for roughly 30 minutes — our operations run for hours or days per analysis, capturing the full arc of adversary behavior. The data represents a full-fidelity snapshot of system activity recorded while threat actors interacted with a live deception environment… See the full description on the dataset page: https://huggingface.co/datasets/DeceptionPro/EDR_Telemetry_Sample.mars-express-telemetry-logs
Mars Express Telemetry Logs
What's inside — One document per Mars Express mission day (2,061 days, ~22.7M tokens): raw TLM power-channel readings (NPWD*), ALERT lines, DMOP telecommands and EVTF ground-station events — plus a few narrative renderings of the same days.
Where it comes from — The telemetry values come from the public ESA Mars Express power-consumption challenge data; the daily-log layout is a synthetic rendering of those values.
How it was built / modified — None —… See the full description on the dataset page: https://huggingface.co/datasets/atenareply/mars-express-telemetry-logs.sft-aeo-telemetry-dataset
SFT AEO & AI Crawler Telemetry Instruction Dataset (2,100 Samples)
Curated, high-precision Supervised Fine-Tuning (SFT) dataset containing 2,100 instruction-following pairs formatted in standard ChatML / OpenAI JSONL.
Published by Pixel Office EU.
Core Dataset Domains (2,100 Samples):
Showcase Architecture & MCP Tool Specifications (780 samples): 195 verified B2B software architectures with Model Context Protocol (MCP) schemas and sub-35ms edge latency… See the full description on the dataset page: https://huggingface.co/datasets/pixeloffice/sft-aeo-telemetry-dataset.local-code-master_telemetry_arena
Local Code Arena: Comprehensive Telemetry Matrix Dataset
🏆 An Empirical Dataset tracking Local Generation Throughput (TPS), Real-Time Latency, Syntactic CodeBLEU Alignments, and Functional Pass Rates across 22 Edge Architectures.
📊 Dataset Blueprint
This dataset contains a consolidated, high-fidelity matrix of 11,000 unique token-generation execution loops across 22 state-of-the-art open-weights language models (ranging from 500M to 15.5B parameters). Every… See the full description on the dataset page: https://huggingface.co/datasets/ShahzebKhoso/local-code-master_telemetry_arena.pokemon-red-telemetry-sft
Pokemon Red Telemetry SFT corpus (sft_v3)
590 chat-format SFT examples generated deterministically (seed 42) from ~38k pokemon.game.v1
telemetry events emitted by an autonomous Pokemon Red agent
(pokemon-kafka) and its training loop
(empirical-evidence). Labels for the battle
domains come from game RAM, not annotation.
This corpus was used to fine-tune a multi-task SmolLM3-3B LoRA in the empirical-evidence loop,
which beat the base model on held-out game-RAM labels… See the full description on the dataset page: https://huggingface.co/datasets/bdougie/pokemon-red-telemetry-sft.