datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
iranian-elderly-psychospiritual-interviews
Iranian Elderly Psycho-Spiritual Interviews
A culturally grounded, fully synthetic conversational interview dataset for assessing the mental and spiritual health of Iranian older adults, generated using Large Language Models.
Dataset Summary
This dataset introduces a culturally grounded, fully synthetic conversational interview corpus designed for the assessment and analysis of mental and spiritual health among Iranian older adults. All interviews are conducted in… See the full description on the dataset page: https://huggingface.co/datasets/liamirali/iranian-elderly-psychospiritual-interviews.Iranian-Household-DataThis dataset contains anonymized socio-economic data directly from the Iranian Welfare Embassy. It was collected and prepared for tasks related to socio-economic modeling and preference learning.
The main prediction task is to determine the 'percentile' column, which represents the socio-economic percentile of a household.
This dataset was first introduced in the following paper:
Cold Start Active Preference Learning in Socio-Economic Domains
Mojtaba Fayaz-Bakhsh, Danial Ataee, MohammadAmin… See the full description on the dataset page: https://huggingface.co/datasets/Dan-A2/Iranian-Household-Data.iran_hs_customs_classification
طبقهبندیِ کالا (HS) — تعرفهٔ گمرک ایران
جدولِ طبقهبندیِ نظامِ هماهنگشدهٔ توصیف و کدگذاری کالا (HS) برای تعرفهٔ گمرک ایران، با
سلسلهمراتبِ کامل: فصل (۲ رقم) ← عنوان (۴) ← زیرعنوان (۶، بینالمللی) ← تعرفه (۸ رقم، ملی).
ستون
توضیح
code
کدِ HS
level
فصل / عنوان / زیرعنوان / تعرفه
digits
تعداد رقم (۲/۴/۶/۸)
name_fa
شرحِ فارسیِ کالا
parent_code
کدِ والد (برای تجمیع)
۱۴٬۷۳۷ کد شامل ۸٬۴۰۰ ردیفِ تعرفهٔ هشترقمی. مرجعی برای پیوستن به دادههای تجارت و تحلیلِ… See the full description on the dataset page: https://huggingface.co/datasets/Farmaanaa/iran_hs_customs_classification.iran_executive_agency_employees_by_province_education_2022
Iran Executive Agency Employees Statistics by Province and Education Level (2022)
Dataset_Overview
This dataset offers a comprehensive breakdown of the number of employees in Iranian executive agencies for the year 1401 (corresponding to 2022). It provides detailed statistics on the public sector workforce, categorized by province and educational level. This information is vital for policymakers, researchers, and anyone interested in the geographic distribution and… See the full description on the dataset page: https://huggingface.co/datasets/Farmaanaa/iran_executive_agency_employees_by_province_education_2022.Trump_Iran_XTwitterScraper_Example
🐦 X-Twitter Scraper: Real-Time Search and Data Extraction Tool
Search and scrape X-Twitter (formerly Twitter) for posts by keyword, account, or trending topics. This no-code tool makes it easy to generate real-time, LLM-ready datasets for any AI or content use case.
Get started with real-time scraping and structure tweet data instantly into clean JSON.
🚀 Key Features
⚡ Real-Time Fetch – Stream the latest tweets the moment they’re posted
🎯 Flexible Search –… See the full description on the dataset page: https://huggingface.co/datasets/Gopher-Lab/Trump_Iran_XTwitterScraper_Example.Iran_Goldiran_executive_agency_employees_by_gender_province_2022
Iran Executive Agency Employees Statistics by Gender and Province (2022)
Dataset_Overview
This dataset offers a comprehensive breakdown of the number of employees in Iranian executive agencies for the year 1401 (corresponding to 2022). It provides detailed statistics on the public sector workforce, categorized by province and gender. This information is vital for policymakers, researchers, and anyone interested in the geographic distribution and gender composition of… See the full description on the dataset page: https://huggingface.co/datasets/Farmaanaa/iran_executive_agency_employees_by_gender_province_2022.iranian-churn-datasetiran-war-fuel-market-crisis-2026Hormuz Fuel Crisis 2026 This dataset simulates the global economic impact of the geopolitical disruption centered around the Strait of Hormuz during April 2026. It captures how a sudden regional conflict triggered cascading effects across fuel markets, logistics, financial systems, and global sentiment.
🌍 Overview
The dataset provides a multi-sector, time-series view of the crisis, covering oil price movements, fuel inflation, shipping disruptions, stock market reactions, and macroeconomic… See the full description on the dataset page: https://huggingface.co/datasets/fibonacciai/iran-war-fuel-market-crisis-2026.iran_executive_agency_employees_by_employment_type_province_2022
Iran Executive Agency Employees Statistics by Employment Type and Province (2022)
Dataset_Overview
This dataset offers a comprehensive breakdown of the number of employees in Iranian executive agencies for the year 1401 (corresponding to 2022). It provides detailed statistics on the public sector workforce, categorized by province and employment type. This information is vital for policymakers, researchers, and anyone interested in the geographic distribution and… See the full description on the dataset page: https://huggingface.co/datasets/Farmaanaa/iran_executive_agency_employees_by_employment_type_province_2022.bank_melli_iran_customer_service_chatbot_bart_dataset
Bank Melli Iran Customer Service Chatbot
Description: Classify customer inquiries into predefined categories and provide automated responses, improving customer service and reducing response time
How to Use
Here is how to use this model to classify text into different categories:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name = "interneuronai/bank_melli_iran_customer_service_chatbot_bart"
model =… See the full description on the dataset page: https://huggingface.co/datasets/interneuronai/bank_melli_iran_customer_service_chatbot_bart_dataset.