Data4Cyber publishes labeled OT attack data for a lab distribution grid
The lab DMS dataset pairs 1-second process data with Modbus/TCP and MQTT captures across one benign run and six attacks.
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The lab DMS dataset pairs 1-second process data with Modbus/TCP and MQTT captures across one benign run and six attacks.
The set has 1,678 baseline studies, 1,776 annotated nodules, and 60 cysts, accessed only via model-to-data.
The Hugging Face post, under an NVIDIA path, gives no further details beyond the title.
The 29.14-TB corpus spans 3.5 and 7 GHz with a 90K/10K scene-level train-test split.
In samples, about seven in ten commits and two in three issues were labeled post-quantum related.
Re-evaluation of Elliptic++ after correcting for temporal splits and feature definitions drops random forest F1 score on illicit class from 0.846 to 0.291.
New TE-GvA dataset with belief-level labels for Tennessee Eastman process shows gradient-boosted rules achieve 11 percent lower regret than hindsight labels on stress sets.
YANAMI introduces the first large-scale multimodal dialogue dataset with 400K multi-turn interactions across four scenarios.
55,000 structured records support 10 detection tasks with task-specific LoRA adapters improving performance.
Large-scale raw IQ dataset from 31 Bluetooth Low Energy devices across varied environments plus evaluation of domain-robust radio-frequency fingerprinting models.
GameVerse contains 69.7K clips totaling 1,655 hours with stable camera trajectories for training extended interactive models.
SketchDirector uses LLM decomposition and diffusion refinement to mimic human sketching workflow, introducing MCSketch8K dataset.
The 36-hour set has more than 8,000 descriptions, and end-to-end scoring checks whether narration fits existing video silences.
The template-based pipeline produces a 60-language corpus for safety training, exposing gaps in English-only evaluation.
IntReal-100K and a seven-dimension suite, with 83.3% human agreement, show unimodal training can also help interleaved generation.
Under chronological splits, no model beats a constant normal predictor, and unseen-attack AUROC averages 0.64.
About 29% of segments are labelled toxic, violence is the most common category, and the resolved set is on Zenodo.
Without finetuning, one checkpoint reaches 86.79 percent success on unseen training-object trajectories and 57.32 percent on held-out objects.
In an enriched sample, 71.1% of legal-content chats sought personalized or practical guidance; annotations are public.
LLM extraction, checked against manual annotations, yields 101413 dated events from 1985 to 2026.
Each sample is a paper-poster-HTML triplet; a 150-paper held-out set supports render-and-compare evaluation.
3DCodeVerse pairs a 2M executable-code dataset with a harness that beats Claude Design in tests.
PrismaCoder releases 9B and 35B open models and a 2M multimodal code dataset trained with rubric rewards.
AdSpark releases a ~300K dataset and six-dimension benchmark for product-centric advertisement video generation.
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