README.md

---
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_info:
  data_files:
    train:
      - dir1/subdir1/s1.jsonl
      - dir2/subdir2/s2.jsonl
  config_name: default
---

# 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.

### Data Files Structure

The dataset maintains its original directory structure:
```
.
├── dir1/
│   └── subdir1/
│       └── sample1.jsonl  # Contains arXiv samples
└── dir2/
    └── subdir2/
        └── sample2.jsonl  # Contains Wikipedia samples
```

### Data Fields

Each JSONL file contains records with the following fields:
- `text`: string - The main text content
- `subset`: string - Source identifier ("arxiv" or "wikipedia")

### Data Splits

All data is included in the train split, distributed across the JSONL files in their respective directories.

### Example Instance

```json
{
    "text": "This is a long text sample from arxiv about quantum computing...",
    "subset": "arxiv"
}
```

## Additional Information

### Dataset Creation

The dataset is organized in its original directory structure, with JSONL files containing text samples from arXiv and Wikipedia sources. Each file maintains its original location and format.

### 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]