datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hdfs-log-anomaly-dataset-lite
Lightweight Transformer for HDFS Log Anomaly Detection
This repository provides the processed benchmark dataset and preprocessing scripts
used in our study on HDFS log anomaly detection with lightweight Transformer models.
Contents
data/: Benchmark-ready train and test datasets
preprocessing/: Scripts for generating the processed datasets
Reproducibility
The released datasets correspond exactly to the experimental setup described in the
paper. Model training… See the full description on the dataset page: https://huggingface.co/datasets/ridwanakm/hdfs-log-anomaly-dataset-lite.Funktion_Integration_Anomaly_Detection
Funktion_Integration_Anomaly_Detection
tags: Data_Integration, Functionality_Testing, Anomaly_Identification
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'Funktion_Integration_Anomaly_Detection' dataset comprises of various musical artist contracts and event details, with a focus on detecting anomalies in the functionality and integration of URLs related to tools like 'RAG', 'LM Studio', 'AMD', 'KI', 'AI', and VIP/Geheim… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/Funktion_Integration_Anomaly_Detection.URL_Transformation_Key_Anomaly_Dataset
URL_Transformation_Key_Anomaly_Dataset
tags: Anomaly Detection, URL Analysis, Keyword Transformation
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'URL_Transformation_Key_Anomaly_Dataset' is a curated dataset for anomaly detection tasks that focus on identifying unusual or suspicious patterns in transformed URLs. The dataset comprises of original URLs and their transformed versions post key-based integration. The transformed… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/URL_Transformation_Key_Anomaly_Dataset.summary_anomaly_dataset