license:mit size_categories:n<1K format:csv modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# CyclicDeviations

tags: anomaly detection, time series, sensor data

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:** The 'CyclicDeviations' dataset comprises time series data collected from industrial sensor equipment monitoring rotational speeds. The data includes timestamps, speed readings, and operational settings of the machinery. Anomalies are labeled based on deviations from normal cyclic patterns that are indicative of potential malfunctions or maintenance needs.


**CSV Content Preview:**

```

timestamp,speed,setting,labels

2023-01-01 00:00,580,2.5,"Normal"

2023-01-01 00:05,582,2.5,"Normal"

2023-01-01 00:10,585,2.5,"Normal"

2023-01-01 00:15,1020,2.5,"Anomaly"

2023-01-01 00:20,583,2.5,"Normal"

2023-01-01 00:25,581,2.5,"Normal"

2023-01-01 00:30,584,2.5,"Normal"

2023-01-01 00:35,1022,2.5,"Anomaly"

2023-01-01 00:40,580,2.5,"Normal"

2023-01-01 00:45,583,2.5,"Normal"

```

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'anomaly detection in time series':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=anomaly+detection+in+time+series&dataset=CyclicDeviations&tags=anomaly+detection,+time+series,+sensor+data
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
