---
annotations_creators:
- found
language_creators:
- found
language:
- en
license: mit
multilinguality: monolingual
size_categories:
- 100<n<1K
source_datasets:
- original
task_categories:
- tabular-classification
pretty_name: TextDataHW1
---

# Dataset Card for TextDataHW1

This dataset contains text descriptors of National Collegiate Athletics Association (NCAA) schools and labels for their athletic conference.

## Dataset Details

### Dataset Description

The original split contains text descriptions of 101 different National Collegiate Athletics Association (NCAA) schools, and are labeled by their athletic conference.
The data was augmented, using 303 rows of EDA, 202 rows of character level noise, 303 rows of backtranslation, and 202 rows of paraphrasing
Google Gemini was used for code debugging only

- **Curated by:** Ethan Kessler

- **License:** MIT

## Uses

### Direct Use

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This dataset is for use in training a classifier model on text data

### Out-of-Scope Use

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More Information Needed

## Dataset Structure

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The original split contains text descriptions of 101 different National Collegiate Athletics Association (NCAA) schools, and are labeled by their athletic conference.
The labels for the conferences are as follows:
American = 0
ACC = 1
Big XII = 2
Big East = 3
B1G = 4
SEC = 5
Pac-12 = 6
The data was augmented, using 303 rows of EDA, 202 rows of character level noise, 303 rows of backtranslation, and 202 rows of paraphrasing.

## Dataset Creation

### Curation Rationale

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More Information Needed

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

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More Information Needed

#### Who are the source data producers?

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The text data was produced by the dataset author

### Annotations [optional]

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#### Labeling process

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the original split data was labelled manually based on common knowledge

#### Who are the annotators?

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More Information Needed

#### Personal and Sensitive Information

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More Information Needed

## Bias, Risks, and Limitations

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More Information Needed]

### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Dataset Card Contact

More Information Needed