README.md

metadata

annotations_creators:
  - no-annotation
language:
  - en
language_creators:
  - found
license:
  - mit
multilinguality:
  - monolingual
size_categories:
  - n<1K
source_datasets:
  - original
task_categories:
  - text-classification
task_ids:
  - text-classification
paperswithcode_id: null
pretty_name: Text360 Sample Dataset
tags:
  - text-classification
  - arxiv
  - wikipedia

Dataset Card for Text360 Sample Dataset

Dataset Description

• Repository: [Add your repository URL here]
• Paper: [Add paper URL if applicable]
• Point of Contact: [Add contact information]

Dataset Summary

This dataset contains text samples from two sources (arXiv and Wikipedia) organized in a hierarchical directory structure. Each sample includes a text field and a subset identifier.

Supported Tasks and Leaderboards

• Text Classification: The dataset can be used for text classification tasks, particularly for distinguishing between arXiv and Wikipedia content.

Languages

The dataset is in English.

Dataset Structure

Data Instances

Each instance in the dataset is a JSON object with the following structure:

{
    "text": "A long text sample...",
    "subset": "arxiv" or "wikipedia"
}

Data Fields

• text: The main text content of the sample
• subset: The source of the text ("arxiv" or "wikipedia")

Data Splits

The dataset is organized in the following directory structure:

.
├── dir1/
│   └── subdir1/
│       └── sample1.jsonl
└── dir2/
    └── subdir2/
        └── sample2.jsonl

Dataset Creation

Curation Rationale

The dataset was created to provide a sample of text data from different sources for text classification tasks.

Source Data

Initial Data Collection and Normalization

The data was collected from two sources:

1. arXiv papers
2. Wikipedia articles

Who are the source language producers?

• arXiv: Academic researchers and scientists
• Wikipedia: Community contributors

Annotations

Annotation process

No additional annotations were added to the source data.

Who are the annotators?

N/A

Personal and Sensitive Information

The dataset does not contain any personal or sensitive information.

Considerations for Using the Data

Social Impact of Dataset

This dataset can be used for educational and research purposes in text classification tasks.

Discussion of Biases

The dataset may contain biases inherent to the source materials (arXiv papers and Wikipedia articles).

Other Known Limitations

The dataset is a small sample and may not be representative of all content from the source materials.

Dataset Curators

[Add curator information]

Licensing Information

This dataset is released under the MIT License.

Citation Information

[Add citation information]

Contributions

[Add contribution information]

Contact

[Add contact information]