{"url":"/dataset/situational-instructions-database","name":"SAD-Instruct","full_name":"Situational Awareness Database for Instruct-Tuning","description_markdown":"The Situational Awareness Database for Instruct-Tuning (SAD-Instruct) is a dataset for dynamic task guidance. It contains situationally aware instructions for performing everyday tasks or completing scenarios in 3D environments. The dataset provides step-by-step instructions for these scenarios grounded in the situation's context. This context is defined through a scenario-specific scene graph that captures the objects, attributes, and environmental relations. The dataset is designed to enable research in grounded language learning, instruction following, and situated dialogue.","description_withheld":null,"homepage":"https://huggingface.co/datasets/saifkhichi96/sad-instruct","introduced_date":"2024-06-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/situational-instructions-database-task","title":"SituationalLLM: Proactive language models with scene awareness for dynamic, contextual task guidance","first_author":"Muhammad Saif Ullah Khan","url":null},"license":{"name":"CC-BY-NC-4.0","url":"https://spdx.org/licenses/CC-BY-NC-4.0"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Generation","url":"/task/text-generation","datasets_with_task":"/datasets/task/text-generation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SAD-Instruct"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}