datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
InstructGpt-educational
LuminaSFT
LuminaSFT is a synthetic SFT dataset suite specifically designed to improve both general-purpose and task-specific SLMs. LuminaSFT consists of multiple curated splits that target diverse capabilities:
UltraChat200K-DeepSeek - A regenerated base SFT dataset for broad instruction following.
InstructGPT-NaturalQA and InstructGPT-TriviaQA - Factual question answering datasets to strengthen knowledge recall and answer accuracy.
CoT-Drop - A reading comprehension dataset with… See the full description on the dataset page: https://huggingface.co/datasets/amd/InstructGpt-educational.educational_domain_dataset
Nepali Grounded Education QA (OpenHermes-format)
A small, fact-grounded Nepali instruction-tuning dataset of question–answer pairs about
student enrollment statistics from Nepal's Ministry of Education. Every answer is
anchored to a real numeric value pulled from government open data — nothing in the
answers is model-hallucinated.
Dataset Summary
Rows
611
Language
Nepali (Devanagari script)
Format
ShareGPT / hermes-instruction-response… See the full description on the dataset page: https://huggingface.co/datasets/Somtharu181coder/educational_domain_dataset.Multidisciplinary-Educational-Summaries
Knowledge Summarization Dataset
Overview
100 structured knowledge summaries across STEM, social sciences, and humanities. Features 70% Indian-centric content, 25% European perspectives, and 5% other Asian contexts for balanced representation.
Dataset Structure
{
"input": "Long-form text",
"output": {
"type": "summary",
"topic": "Subject name",
"difficulty": "beginner/intermediate/advanced",
"points": ["Key point 1", "Key point 2"]
}
}… See the full description on the dataset page: https://huggingface.co/datasets/Srinivasmec26/Multidisciplinary-Educational-Summaries.