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nassimjp/Pashto-Instruct

Pashto-Instruct Pashto-Instruct is a curated, high-quality instruction-tuning dataset designed specifically for the Pashto language. This repository is part of the iPashto.ai initiative, which aims to bridge the resource gap for the Pashto language in modern Large Language Models (LLMs). Dataset Overview This dataset provides structured instruction-response pairs tailored for Supervised Fine-Tuning (SFT), alignment, and conversational capabilities in Pashto. It… See the full description on the dataset page: https://huggingface.co/datasets/nassimjp/Pashto-Instruct.

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Dataset Card

Pashto-Instruct

Pashto-Instruct is a curated, high-quality instruction-tuning dataset designed specifically for the Pashto language. This repository is part of the iPashto.ai initiative, which aims to bridge the resource gap for the Pashto language in modern Large Language Models (LLMs).

Dataset Overview

This dataset provides structured instruction-response pairs tailored for Supervised Fine-Tuning (SFT), alignment, and conversational capabilities in Pashto. It focuses on maintaining high orthographic consistency, correct grammar, and culturally contextualized generation.

Dataset Structure

The dataset is formatted to support standard instruction-tuning pipelines (such as Alpaca/ShareGPT styles):

—`instruction` / `prompt`: The prompt or query in Pashto (or cross-lingual instruction).
—`response` / `completion`: The corresponding accurate, context-aware answer or chain-of-thought in Pashto.

Usage

You can easily load this dataset using the Hugging Face datasets library:

python

from datasets import load_dataset

dataset = load_dataset("nassimjp/Pashto-Instruct")
print(dataset["train"][0])