datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
zamai-pashto-documents
ZamAI-Pashto Documents
This repository contains the dataset and scripts for the ZamAI-Pashto document processing project, focusing exclusively on the Pashto language.
Project Structure
data/: Contains scanned documents, extracted text, translations, and summaries.
annotations/: OCR bounding boxes, handwriting labels, and domain tags.
scripts/: OCR processing, text cleaning, and translation alignment scripts.
configs/: Dataset configurations and OCR settings.… See the full description on the dataset page: https://huggingface.co/datasets/ZamAI-Pashto/zamai-pashto-documents.easylaw_kr_documentsMNLP_M3_rag_documentszamai-pashto-documents
Pashto
Languages: psLicense: cc-by-4.0Task categories: visual-document-retrievalSize categories: n<1K
Summary
This dataset is part of the ZamAI Pashto data collection. It is intended for visual-document-retrieval tasks in Pashto.
How to use
from datasets import load_dataset
dataset = load_dataset("tasal9/zamai-pashto-documents")
print(dataset)
Citation
@misc{zamai_pashto_data,
title = {{Pashto}},
author = {ZamAI / Yaqoob… See the full description on the dataset page: https://huggingface.co/datasets/tasal9/zamai-pashto-documents.vietnam-legal-documentsvi-legal-documents-20k-pretrainNDC_documents_mastermaritime_documents_tags_classificationData Understanding and Preparation
Data Collection
BIMCO Contracts and Clauses
URL: BIMCO Contracts and Clauses
Description: This website provides a wide range of standardized contracts and clauses commonly used in the maritime industry. The documents were downloaded and used as part of our dataset, offering detailed insights into industry-specific terminology and structured data.
Data Description
Documents Collected: A total of 217 documents were collected… See the full description on the dataset page: https://huggingface.co/datasets/pranay27sy/maritime_documents_tags_classification.MNLP_M2_rag_documentsFinancial_Documents_datasetMNLP_M3_documentsUN_Documents_2000_2023tactics-documentsMNLP_M2_rag_documents_mid_bigRAG_documents_computer_scienceMNLP_M3_rag_documents_v3_smallMNLP_M3_rag_documentsMNLP_M3_happy-ghast_rag_documentsMNLP_M3_rag_documentsMNLP_M3_rag_documents_v2MNLP_M3_rag_documents_v3AI-related-documentsMNLP_M2_rag_documents2MNLP_M3_RAG_documents_bigMNLP_M2_rag_documentsRAG_documents_mathMNLP_M2_rag_documentsRETRIEVED_DOCUMENTSMNLP_M2_rag_documents_mini2MNLP_M2_rag_documents_mid