datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Internet-background-noise
Internet Background Noise Dataset (Unlabeled Raw Data)
This dataset contains HTTP internet noise data collected by an internet honeypot. It consists of raw, unlabeled network packets, including metadata, payloads, and header information. This data is suitable for training and evaluating machine learning models for network intrusion detection, cybersecurity, and traffic analysis.
HoneyPot repository: hachimi on GitHub.
Dataset Overview
The Internet Background Noise… See the full description on the dataset page: https://huggingface.co/datasets/burpheart/Internet-background-noise.instruction-background-noise-data-synthetic
Dataset Card for instruction-background-noise-data-synthetic
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/jan-hq/instruction-background-noise-data-synthetic/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info… See the full description on the dataset page: https://huggingface.co/datasets/Menlo/instruction-background-noise-data-synthetic.instruction-background-noise-dataclinical-quad-ae-signal-background-noise-reporting-lag-causality-bias-v0.1Clinical Quad AE Noise Lag Attribution Bias v0.1
Each row is a site week safety snapshot.
Core quad
AE signal rateBackground noise rateReporting lagAttribution bias
Target
label_stop_signal_next_30d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT