{"url":"/dataset/omics","name":"OMICS","full_name":"Open Mind Indoor Common Sense","description_markdown":"**OMICS** is an extensive collection of knowledge for indoor service robots gathered from internet users. Currently, it contains 48 tables capturing different sorts of knowledge. Each tuple of the Help table maps a user desire to a task that may meet the desire (e.g., ⟨ “feel thirsty”, “by offering drink” ⟩). Each tuple of the Tasks/Steps table decomposes a task into several steps (e.g., ⟨ “serve a drink”, 0. “get a glass”, 1. “get a bottle”, 2. “fill class from bottle”, 3. “give class to person” ⟩). Given this, OMICS offers useful knowledge about hierarchism of naturalistic instructions, where a high-level user request (e.g., “serve a drink”) can be reduced to lower-level tasks (e.g., “get a glass”, ⋯). Another feature of OMICS is that elements of any tuple in an OMICS table are semantically related according to a predefined template. This facilitates the semantic interpretation of the OMICS tuples.\n\nSource: [Understanding User Instructions by Utilizing Open Knowledge for Service Robots](https://arxiv.org/abs/1606.02877)\nImage Source: [https://www.aaai.org/Papers/AAAI/2004/AAAI04-096.pdf](https://www.aaai.org/Papers/AAAI/2004/AAAI04-096.pdf)","description_withheld":null,"homepage":"https://www.aaai.org/Papers/AAAI/2004/AAAI04-096.pdf","introduced_date":"2004-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Common Sense Data Acquisition for Indoor Mobile Robots","first_author":null,"url":"http://www.aaai.org/Library/AAAI/2004/aaai04-096.php"},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Classification","url":"/task/text-classification","datasets_with_task":"/datasets/task/text-classification"},{"name":"Common Sense Reasoning","url":"/task/common-sense-reasoning","datasets_with_task":"/datasets/task/common-sense-reasoning"},{"name":"Decision Making","url":"/task/decision-making","datasets_with_task":"/datasets/task/decision-making"}],"languages":[],"variants":["OMICS"],"data_loaders":[],"num_papers_in_archive":6,"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."}