neurips2026-ed-dataset/KGQA

Compressed Multi-Hop KGQA Benchmark Dataset Summary This dataset is a multiple-choice benchmark for evaluating compressed multi-hop reasoning over knowledge graphs. Files data/benchmark.jsonl: main benchmark file. data/question_graphs.jsonl: candidate graph/path evidence for each question. Data Fields Each benchmark example contains: question_id: unique question identifier type: question type question: natural language question… See the full description on the dataset page: https://huggingface.co/datasets/neurips2026-ed-dataset/KGQA.