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

# MoodPatterns

tags: mood analysis, pattern recognition, time series

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

**Dataset Description:**

The 'MoodPatterns' dataset comprises time-stamped entries that track individuals' moods over various periods. Each record contains a timestamp, mood description, intensity level, and additional contextual factors that might influence the mood. The goal is to aid in mood analysis and pattern recognition to better understand and predict mood variations.


**CSV Content Preview:**

```

Timestamp,Mood Description,Intensity,Context

2023-01-01 08:00,Feeling energized and positive,High,Woke up to sunny weather

2023-01-01 14:30,Slightly stressed due to workload,Medium,Before an important meeting

2023-01-02 09:15,Happy and content with family,High,Weekend family gathering

2023-01-02 21:45,Melancholic and introspective,Low,Listened to a favorite song

2023-01-03 18:00,Frustrated and overwhelmed,High,Faced a technical issue at work

```

**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 'mood tracker':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=mood+tracker&dataset=MoodPatterns&tags=mood+analysis,+pattern+recognition,+time+series
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
