Nikhil Ranjan
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README.md
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- text-classification
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- arxiv
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- wikipedia
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---
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# Dataset Card for Text360 Sample Dataset
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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.
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###
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Each instance in the dataset is a JSON object with the following structure:
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```json
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{
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"text": "
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"subset": "arxiv"
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```
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- `subset`: The source of the text ("arxiv" or "wikipedia")
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### Data Splits
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The dataset is organized in the following directory structure:
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```
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├── dir1/
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│ └── subdir1/
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│ └── sample1.jsonl
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└── dir2/
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└── subdir2/
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└── sample2.jsonl
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```
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### Curation Rationale
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- text-classification
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- arxiv
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- wikipedia
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dataset_info:
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data_files:
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train:
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- dir1/subdir1/sample1.jsonl
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- dir2/subdir2/sample2.jsonl
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config_name: default
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---
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# Dataset Card for Text360 Sample Dataset
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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.
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### Data Files Structure
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The dataset maintains its original directory structure:
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```
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.
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├── dir1/
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│ └── subdir1/
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│ └── sample1.jsonl # Contains arXiv samples
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└── dir2/
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└── subdir2/
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└── sample2.jsonl # Contains Wikipedia samples
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```
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### Data Fields
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Each JSONL file contains records with the following fields:
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- `text`: string - The main text content
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- `subset`: string - Source identifier ("arxiv" or "wikipedia")
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### Data Splits
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All data is included in the train split, distributed across the JSONL files in their respective directories.
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### Example Instance
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```json
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{
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"text": "This is a long text sample from arxiv about quantum computing...",
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"subset": "arxiv"
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}
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```
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## Additional Information
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### Dataset Creation
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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.
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### Curation Rationale
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