datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
social-reasoning-rlhf
Dataset Summary
This repository provides access to a social reasoning dataset that aims to provide signal to how humans navigate social situations, how they reason about them and how they understand each other. It contains questions probing people's thinking and understanding of various social situations.
This dataset was created by collating a set of questions within the following social reasoning tasks:
understanding of emotions
intent recognition
social norms
social… See the full description on the dataset page: https://huggingface.co/datasets/ProlificAI/social-reasoning-rlhf.SocialNLI
Dataset Card for SocialNLI
SocialNLI is a dialogue-centric natural language inference benchmark that probes whether models can detect sarcasm, irony, unstated intentions, and other subtle types of social reasoning. Every record pairs a multi-party transcript from the television series Friends with a free-form hypothesis and counterfactual explanations that argue for and against the hypothesis.
Example SocialNLI inference with model and human explanations (A) and dataset… See the full description on the dataset page: https://huggingface.co/datasets/adeo1/SocialNLI.Pashto-Social-Insight-Reasoning-Dataset
Pashto Social Insight & Reasoning Dataset (PSIR)
Overview
The Pashto Social Insight & Reasoning (PSIR) dataset is a specialized collection designed to evaluate and enhance the sociological reasoning, cultural dynamics understanding, and analytical capabilities of AI models in the Pashto language. Born from an incremental "snowball effect" curation process, it captures deep contextual insights into social structures and community reasoning.
Structure… See the full description on the dataset page: https://huggingface.co/datasets/nassimjp/Pashto-Social-Insight-Reasoning-Dataset.social-engineering-qa-persian
Social Engineering Q&A Dataset (Persian / Farsi)
Overview
A Persian (Farsi) question–answer corpus for social engineering and cybersecurity, derived from curated knowledge articles extracted from authoritative reference books.
This release is part of a bilingual research dataset engineering pipeline designed for
supervised fine-tuning (SFT), retrieval-augmented generation (RAG) evaluation, and
domain-specific language model benchmarking in cybersecurity education.… See the full description on the dataset page: https://huggingface.co/datasets/nezamisafa/social-engineering-qa-persian.vazirweb-persian-social-media-content
VazirWeb Persian Social Media Content
A Persian-language instruction-tuning dataset for social media content generation across 27 business categories and 5 platforms, designed for fine-tuning Persian language models.
Author: Shahryar Sahebekhtiari — VazirWebGitHub: WASP-Outis
Dataset Description
Each example is a 3-turn conversation between a system prompt, a user request, and an assistant response. The assistant always returns a structured JSON object… See the full description on the dataset page: https://huggingface.co/datasets/shahryars/vazirweb-persian-social-media-content.social-engineering-qa-persian
Social Engineering Q&A Dataset (Persian / Farsi)
Overview
A Persian (Farsi) question–answer corpus for social engineering and cybersecurity, derived from curated knowledge articles extracted from authoritative reference books.
This release is part of a bilingual research dataset engineering pipeline designed for
supervised fine-tuning (SFT), retrieval-augmented generation (RAG) evaluation, and
domain-specific language model benchmarking in cybersecurity education.… See the full description on the dataset page: https://huggingface.co/datasets/smd20/social-engineering-qa-persian.social-engineering-qa-english
Social Engineering Q&A Dataset (English)
Overview
An English question–answer corpus for social engineering and cybersecurity, derived from curated knowledge articles extracted from authoritative reference books.
This release is part of a bilingual research dataset engineering pipeline designed for
supervised fine-tuning (SFT), retrieval-augmented generation (RAG) evaluation, and
domain-specific language model benchmarking in cybersecurity education.
Each record is… See the full description on the dataset page: https://huggingface.co/datasets/smd20/social-engineering-qa-english.synthetic-social-dialogues
Synthetic Social Dialogues
Synthetic Social Dialogues is a collection of over 8 000 synthetically generated, multi-turn dialogue scenarios designed to train and evaluate Large Language Models (LLMs) on nuanced conversational dynamics, role-playing, and adherence to complex social constraints.
Each sample models a realistic interaction between two speakers under controlled psychological, relational, situational, and medium-based variables.
Dataset Summary
Size: 8… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/synthetic-social-dialogues.social-engineering-qa-english
Social Engineering Q&A Dataset (English)
Overview
An English question–answer corpus for social engineering and cybersecurity, derived from curated knowledge articles extracted from authoritative reference books.
This release is part of a bilingual research dataset engineering pipeline designed for
supervised fine-tuning (SFT), retrieval-augmented generation (RAG) evaluation, and
domain-specific language model benchmarking in cybersecurity education.
Each record is… See the full description on the dataset page: https://huggingface.co/datasets/nezamisafa/social-engineering-qa-english.SFT_Dataset_domain_social
Nepali Social Studies MCQ — SFT Dataset
A cleaned, deduplicated, bias-corrected instruction-tuning dataset of Nepali-language
multiple-choice questions on social studies topics, derived from the Aya Dataset.
Dataset Summary
Rows
27,891
Language
Nepali (ne / npi), Devanagari script
Task type
Instruction-following (single-turn MCQ Q&A)
Domain
Social studies (सामाजिक) — MCQ only
License
Apache-2.0 (permissive)
Source
CohereLabs/aya_dataset… See the full description on the dataset page: https://huggingface.co/datasets/Somtharu181coder/SFT_Dataset_domain_social.SocialDealSet