datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bangladesh-law-professional
🇧🇩 Bangladesh Law Professional Dataset
A clean, instruction-tuned (Alpaca-style) question–answer dataset for
fine-tuning language models on Bangladesh law, in Bangla and English.
👤 Author & Contribution
Curated & built by
Sadat Sami (@Sadatsami)
Role
Dataset architect — collected, cleaned, filtered, reformatted and published
Motivation
Build a small-but-high-quality Bangla legal corpus to fine-tune a lightweight LLM (e.g. Qwen2.5-0.5B via… See the full description on the dataset page: https://huggingface.co/datasets/Sadatsami/bangladesh-law-professional.VietTB-ProfessionalBench
VietTB-ProfessionalBench
Version v3.8-open-research is a Vietnamese tuberculosis guideline benchmark for research on source-grounded information retrieval and response-policy evaluation for health-care workers.
Split
Records
Purpose
train
480
Development and model training
dev
120
Development validation
test
200
Final reported evaluation
Total
800
The test split contains 50 examples for each policy action: ANSWER, CLARIFY, REVISE, and REFUSE.… See the full description on the dataset page: https://huggingface.co/datasets/SpringWang08/VietTB-ProfessionalBench.berufsspezialist-bachelor-professional-ki-ihk-de-2026
Berufsspezialist und Bachelor Professional in KI und ML (IHK) - Stand 2026
Zusammenfassung
Strukturierte Beschreibung der beiden hoeherqualifizierenden Fortbildungsabschluesse in Kuenstlicher Intelligenz und Maschinellem Lernen nach dem Berufsbildungsgesetz (BBiG): dem Gepruefen Berufsspezialisten fuer KI und ML (IHK, DQR 5) und dem Bachelor Professional in KI und ML (IHK, DQR 6). Rechtsgrundlage ist eine besondere Rechtsvorschrift der IHK Region Stuttgart nach… See the full description on the dataset page: https://huggingface.co/datasets/SkillSprinters/berufsspezialist-bachelor-professional-ki-ihk-de-2026.Task-Reminders-for-Education-and-Professionals
Academic Reminder Dataset
Overview
100 structured reminders for academic and personal tasks with cultural context. Balanced representation (70% Indian, 25% European, 5% other Asian) covering diverse educational scenarios and deadlines.
Dataset Structure
{
"input": "Task description",
"output": {
"type": "reminder",
"title": "Task title",
"due_date": "YYYY-MM-DD",
"priority": "low/medium/high",
"notes": "Additional details"
}
}… See the full description on the dataset page: https://huggingface.co/datasets/Srinivasmec26/Task-Reminders-for-Education-and-Professionals.