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README.md
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---
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license: apache-2.0
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dataset_info:
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features:
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- name: file_name
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dtype: string
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- name: content_sindhi
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dtype: string
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splits:
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- name: train
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num_bytes: 55664734
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num_examples: 967
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download_size: 23097177
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dataset_size: 55664734
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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license: apache-2.0
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dataset_info:
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features:
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- name: file_name
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dtype: string
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- name: content_sindhi
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dtype: string
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splits:
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- name: train
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num_bytes: 55664734
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num_examples: 967
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download_size: 23097177
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dataset_size: 55664734
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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# Sindhi Legal Dataset (Pakistan)
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## Dataset Details
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### Dataset Description
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This dataset contains **Sindhi translations of Pakistani legal documents**, originally written in English.
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It is intended to support **legal NLP**, **low-resource language research**, and **Sindhi language AI applications**.
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The dataset includes constitutional provisions, ordinances, acts, and other statutory legal texts relevant to Pakistan.
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All documents were translated into **Sindhi (Arabic script)** using a controlled, chunk-based machine translation pipeline to preserve structure and completeness.
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- **Curated by:** Danish Mahdi
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- **Funded by:** Not applicable
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- **Shared by:** Danish Mahdi
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- **Language(s) (NLP):** Sindhi (`sd`), source language English (`en`)
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- **License:** Apache License 2.0
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---
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### Dataset Sources
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- **Repository:** [Sindhi Legal Dataset on Hugging Face](https://huggingface.co/datasets/DanishMahdi/Sindhi_Legal_2)
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- **Paper:** Not available
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- **Demo:** Not available
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---
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## Uses
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### Direct Use
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This dataset is suitable for:
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- Sindhi **Legal NLP**
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- **Text generation** and language modeling
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- **Retrieval-Augmented Generation (RAG)** systems
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- Legal **question answering**
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- Fine-tuning **LLMs for Sindhi**
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- Legal document analysis and summarization
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- Low-resource language research
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### Out-of-Scope Use
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- Legal decision-making or legal advice
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- High-stakes legal interpretation
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- Commercial legal compliance without human verification
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- Tasks requiring human-verified or certified translations
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---
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## Dataset Structure
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The dataset consists of **967 legal documents**, provided as a single `train` split.
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Each record has the following structure:
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```json
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{
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"file_name": "example_document.pdf",
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"content_sindhi": "سنڌي ۾ ترجمو ٿيل قانوني متن..."
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}
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