{"url":"/dataset/light-quests","name":"LIGHT-Quests","full_name":null,"description_markdown":"**LIGHT-Quests** is an extension of LIGHT, a large-scale crowd-sourced fantasy text-game, to generate a dataset of quests. These contain natural language motivations paired with in-game goals and human demonstrations; completing a quest might require dialogue or actions (or both).","description_withheld":null,"homepage":"https://parl.ai/projects/light/","introduced_date":"2020-10-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/how-to-motivate-your-dragon-teaching-goal","title":"How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds","first_author":"Prithviraj Ammanabrolu","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["LIGHT-Quests"],"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."}