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---
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. |