tasal9/ZamAI_Pashto_Dataset

Dataset Card for ZamAI Pashto Processed Dataset

Dataset Summary

This dataset contains Pashto language data that has been systematically gathered, cleaned, and normalized through the ZamAI Pashto Data Processing Pipeline. The pipeline is designed to enable reproducible, automated workflows for robust data preparation, supporting scalable AI/ML research and model training for the Pashto language.

Dataset Details

• Curated by: ZamAI Team
• Language(s): Pashto
• License: CC-BY-ND-4.0
• Version: v1.0
• Last updated: 2025-06-23
• Source(s): BBC-Pashto, other public corpora
• Pipeline Source: ZamAI Pashto Data Processing Pipeline

Dataset Structure

• Format: txt, csv, jsonl (choose what applies)
• Fields:
  • text: The cleaned and normalized Pashto text sample.
  • [Add more fields if relevant, e.g., "label", "source", ...]
• Splits:
  • train
  • validation
  • test
  • instruction
  • prompt
  • full

Data Collection Process

• Gathering: Pashto language data was automatically collected from diverse online sources, including news websites (e.g., BBC-Pashto), public corpora, and open-access Pashto text repositories. The pipeline utilizes custom Python scripts to crawl, download, and aggregate raw textual data relevant for natural language processing tasks.

• Cleaning: The cleaning process removes duplicate entries, irrelevant text, corrupted files, and non-Pashto content. Additional steps include eliminating extra whitespace, fixing encoding issues, stripping HTML tags or special symbols, and filtering out samples below a minimum length threshold to ensure quality and consistency.

• Normalization: The text is standardized using Unicode normalization (NFKC), consistent sentence segmentation, and uniform punctuation. Pashto-specific characters and diacritics are normalized, and whitespace is harmonized across samples. The pipeline also optionally standardizes casing and applies consistent formatting to prepare the data for downstream tasks.

• Tools Used: Python, pandas, regular expressions (re), and custom data processing scripts contained within the ZamAI-Pashto-Data-Processing-Pipeline. Jupyter Notebooks are used for exploration, prototyping, and quality assurance.

Intended Use

This dataset is intended for:

• Training, fine-tuning, and evaluating Pashto language models
• Research on Pashto NLP tasks

Limitations and Considerations

• Potential biases due to source selection
• Automated cleaning may introduce artifacts
• No personally identifiable information was intentionally included

Citation

If you use this dataset, please cite:

@misc{zamai_pashto_processed_2025,
  title = {ZamAI Pashto Processed Dataset},
  author = {ZamAI Team},
  year = {2025},
  howpublished = {\url{https://huggingface.co/datasets/[your-identifier]}}
}