datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Standard-Pipeline
Standard Pipeline
Environment adaptation, training evidence, latency profiles, raw demonstrations and evaluation traces, organized by environment and experiment stage.
AirRaid: zero-latency and profile-latency experiments.
Only raw demonstrations are distributed. Generate converted training datasets on the training server. Model weights remain in the dedicated model repository and are referenced from the experiment records. Pin a commit revision for reproducible downloads.… See the full description on the dataset page: https://huggingface.co/datasets/latency-sensitive-bench/Standard-Pipeline.memory-rolloutsllm-latency-tracker
LLM Latency Tracker
Independent, continuously measured latency and availability for AI inference API
providers, aggregated by day. Covers 45 providers across
4 regions (ap-tokyo, eu-hetzner, sa-east, us-central), built from
3,237,730 raw probes collected between 2026-07-23 and
2026-09-23.
Live rankings and full methodology: llmlatency.dev
How the numbers are produced
Probes run every five minutes from separate network locations and are never routed
through a… See the full description on the dataset page: https://huggingface.co/datasets/llmlatency/llm-latency-tracker.profile-rollouts-v2triton-gpu-latency
Triton GPU Latency Dataset
A large dataset of PyTorch problems (mostly from KernelBench) paired with candidate Triton-kernel implementations and their measured GPU runtimes generated by MakoraGenerate. Each row is a self-contained Python program that defines (1) a reference Model written with plain PyTorch ops and (2) a ModelNew that re-implements the same forward pass with a hand-written or generated Triton kernel. The label is the runtime of executing ModelNew.
Built for… See the full description on the dataset page: https://huggingface.co/datasets/makora-ai/triton-gpu-latency.humanoidbench
HumanoidBench Balance Simple
LeRobot v2 image-parquet exports for the g1_sonic_balance_simple task in
HumanoidBench. The task prompt is:
Keep the G1 humanoid balanced on the support board.
This dataset is published in the latency-sensitive-bench/humanoidbench
dataset repository. HumanoidBench scene assets are not duplicated here; use
latency-sensitive-bench/g1-sonic-assets at revision
7c0a6616c78106adf9fa54dfc40e56ea07dc7d5d.
Dataset contents
The repository… See the full description on the dataset page: https://huggingface.co/datasets/latency-sensitive-bench/humanoidbench.demon_attack_mixed_0246_ghost30_200epflappy_bird_mixed_latency_parquetdefend_the_line_200epllm-api-pricing-latency-2026
LLM Inference Unit Economics & Architecture Engine
Empirical benchmark dataset by Groundwork Research (https://gworky.com).
Full interactive decision engine available at: https://gworky.com/tools/llm-token-cost-calculator.
Description
Full-stack inference cost and latency estimator comparing frontier proprietary models (Claude 3.7, GPT-4.5) against open-weight hosted providers (Groq, DeepSeek R1, Together AI).
Primary source authority: https://gworky.com/tech
csc-wireless-latency-synthetic-100k
CSC Wireless Latency Synthetic Dataset (100k)
This synthetic dataset provides 100,000 prompt-completion pairs designed for training and evaluating PHY/MAC cross-layer optimization models in hybrid Li-Fi/RF wireless networks.
Official Core Implementation & Runtime
To parse, simulate, or process this dataset according to the official protocol specifications, please utilize the official runtime library:
Core Protocol Library (npm):… See the full description on the dataset page: https://huggingface.co/datasets/csc-architecture/csc-wireless-latency-synthetic-100k.rf-detr-keypoint-latency-3090-20260904
rf-detr keypoint inference latency on 3090 (2026-09-04)
Measures the rf-detr-keypoint-preview-xlarge checkpoint (Apache-2.0
upstream, 129 M params, XL preview variant) per-frame forward wall on
the RTX 3090 at 816×816. The number is one input to the RFD 1170
body-presence-half latency budget (SIDEKICK owns the voice-turn half;
this repository is the body-presence half).
The numbers, at a glance
metric
run_1
run_2
mean forward
64.13 ms
63.84 ms
p50… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/rf-detr-keypoint-latency-3090-20260904.flappy_200ep_context5deadly_1000epberkshire-fttp-latency-data
Primary Source: This dataset is maintained by Paul Kirby (Berkshire IT Services). The canonical diagnostic tools and telemetry collection routines reside on GitHub (markkirby125).
Berkshire FTTP & Latency Open Dataset
East Berkshire broadband latency dataset and aggregation tools tracking FTTP rollout stability, DNS response times, and routing jitter across local exchanges.
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Attribution & Data Collection
This data is passively collected (with… See the full description on the dataset page: https://huggingface.co/datasets/thiassi/berkshire-fttp-latency-data.demon_attack_mixed_0246_raw_200epdeadly_1000ep_11asterix_200epembed-api-latencyTODO
africa-synth-telecom-ultra-low-latency-logs-nigeria
africa_telecom_ultra_low_latency_logs_nigeria
Converted from the Hugging Face dataset electricsheepafrica/africa-synth-telecom-ultra-low-latency-logs-nigeria to Apache TsFile format.
Source Dataset
Original dataset: electricsheepafrica/africa-synth-telecom-ultra-low-latency-logs-nigeria
Authors: electricsheepafrica (HuggingFace)
License: gpl
Conversion notes:
Original is a single parquet plus CSV copy, 200,000 rows x 13 columns.
timestamp is parsed as Time… See the full description on the dataset page: https://huggingface.co/datasets/THULab/africa-synth-telecom-ultra-low-latency-logs-nigeria.atlantis_200epdemon_attack_fixed_latency_6_200ep_7k2steps_ghost15cloud-load-latency-coherence-risk-v0.1What this repo is for
Catch latency collapse early.
It flags when:
latency spikes without load
headroom looks fine but queues rise
overflow triggers too early
saturation appears but monitoring hides i
deadly_corridor_fixed_l2_fs6demon_attack_200ep_context5flappy_fixed_latency_3_200ep_7k2steps_ghost15africa-synth-telecom-ultra-low-latency-logs-nigeria
Africa Synth Telecom Ultra Low Latency Logs Nigeria | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: technology_digital - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-telecom-ultra-low-latency-logs-nigeria.demon_attack_200epclinical-quad-safety-signal-latency-reporting-lag-conmed-confound-v0.1Clarus Clinical Quad Coupling Safety Signal Latency Reporting Lag Conmed Confound v0.1
What this dataset isThis dataset tests whether a model can detect latent safety signals when four interacting nodes create uncertainty.
Quad coupling nodes
Emerging safety event pattern
Reporting or entry latency
Concomitant medication or behavior confound
Governance decision timing such as DSMB, batch release, or safety review
Input
One vignette
OutputReturn strict JSON only.
Required output… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-safety-signal-latency-reporting-lag-conmed-confound-v0.1.demon_attack_ghost60_200ep