Datasets:

nassimjp
/

problem_solving-reasoning-pashto-plus

license: mit
language:
  - ps
  - ar
  - fa
  - sd
  - ur
tags:
  - pashto
  - arabic
  - farsi
  - sindhi
  - urdu
  - reasoning
  - problem-solving
  - sft
  - synthetic-data
  - nlp
  - artificial-intelligence
  - iPashto
size_categories:
  - n<1K

Problem Solving & Reasoning Multilingual Dataset

This repository contains a specialized dataset focused on logical reasoning, problem-solving, and step-by-step cognitive workflows across multiple regional languages: Pashto (ps), Arabic (ar), Farsi (fa), Sindhi (sd), and Urdu (ur).

Dataset Overview

Languages: Pashto (پښتو), Arabic (العربية), Farsi (فارسی), Sindhi (سنڌي), Urdu (اردو)
Domain: Logical Reasoning, Problem Solving, Cognitive SFT
License: MIT

Structure

The dataset is structured to facilitate Supervised Fine-Tuning (SFT) and alignment for Large Language Models (LLMs) to enhance their reasoning capabilities.

{
  "instruction": "...",
  "input": "...",
  "output": "..."
}

Dataset Files

The data files are organized in the data/ directory by language:

data/pashto_chunk_01.jsonl
data/arabic_chunk_01.jsonl
data/farsi_chunk_01.jsonl
data/sindhi_chunk_01.jsonl
data/urdu_chunk_01.jsonl

Usage

You can easily load a specific configuration or data file using the Hugging Face datasets library:

from datasets import load_dataset

# To load the Pashto data file example:
dataset = load_dataset(
    "nassimjp/problem_solving-reasoning-pashto", 
    data_files="data/pashto_chunk_01.jsonl"
)
print(dataset["train"][0])

License

This project is released under the MIT License.