qa-dataset

Medical question and answer dataset gathered from the web.

Tiny QA Benchmark++ a micro-benchmark suite (52-item gold + on-demand multilingual synthetic packs), generator CLI, and CI-ready eval harness for ultra-fast LLM smoke-testing & regression-catching.

Additional Videos Data and QA pairs for Balancing Original MUSIC-AVQA Dataset

Flipper Zero Sub-GHz RF dataset (280-1100 MHz, 9 countries) with 1500 Q&A pairs for LLM fine-tuning, fact-checked allocations, and a GPU-accelerated validation pipeline (Ollama Qwen 32B + DeBERTa NLI).

Data for HindiRC

Information about multi-hop reasoning

Welfare-QA : Korean WelfareDomain Dataset (QA from docs)

Command-line tool to split documents into chunks and automatically generate question–answer datasets, designed for preparing data to fine-tune large language models (LLMs).

QATorch is a Python tool for in-depth analysis of Q&A datasets, designed to prepare data for Retrieval Augmented Generation (RAG) systems. It performs data quality checks, deduplication, metadata analysis, and generates detailed, customizable reports to streamline AI/NLP dataset preparation.

🤖 Transform unstructured policies into structured conversation and evaluation data for LLMs with Synkro's versatile framework.

Open Q&A dataset for the Swedish construction industry. 300 Q&As in v1.0, target 1000+. Multi-format (JSON, JSONL, Alpaca, ShareGPT, CSV). CC BY 4.0. Maintained by Zaragoza AB, Helsingborg.

F1-Dataset 1950–2025 — 1,149 races, 25,784 results & 10656 QA pairs from Jolpica + Wikipedia for LLM finetuning.

Curated bilingual long-context QA dataset with 20 questions, 160 rollouts, evidence, scores, and validation.

Automated QA data generation pipeline - three-stage logistic regression filtering, zero-dependency Node backend, single-file frontend