README.md

---
license: mit
language:
- en
pretty_name: HW1 Text Dataset
---


# Dataset Card for {{ pretty_name | default("Dataset Name", true) }}

This dataset covers 1000 locations at 5 universities with descriptions and reviews of locations
based on my personal experience. 

## Dataset Details

### Dataset Description

- **Curated by:** Carnegie Mellon University: 24-679
- **Shared by [optional]:** Devin DeCosmo
- **Language(s) (NLP):** English
- **License:** MIT

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** {{ repo | default("[More Information Needed]", true)}}


## Uses

The main use was to train text models to predict the specific university or location based on the personal text description. 

### Direct Use

The direct use would be analysis tasks to predict the location based off the text.

### Out-of-Scope Use

Could be used for sentiment analysis and similar tasks. 


## Dataset Structure

This dataset consists of two splits
An original split with 100 rows
An artificial split with 1000 rows

The tasks fall into 4 categories based on the university
1. CMU
2. ASU
3. Bucknell
4. Duquesne
5. UCSD

## Dataset Creation

### Source Data

Source data is personal statements and reviews from the owner. 

#### Data Collection and Processing

Data was written by the creator of this dataset. 

#### Who are the source data producers?

Data was initially produced by the owner. 

## Bias, Risks, and Limitations

This is a very small data set and will likely have issues with training and fitting, especially for more complex analysis. 

### Recommendations

This dataset probably has limited accuracy as a first draft but may be useful for learning how to train models.