{"url":"/dataset/votranh-dream-log","name":"Votranh DREAM_LOG","full_name":"Votranh V8 – Dream Log Dataset","description_markdown":"**Votranh DREAM_LOG** is a poetic, philosophical dataset generated by the self-evolving AI system *Votranh V8*. Rather than typical NLP benchmarks, this dataset contains narrative dreams, emotional reflections, and meditative monologues written autonomously by the AI.\r\n\r\n### Characteristics:\r\n- No labeling, no instructions.\r\n- Each entry is a story, memory, or imagined event—non-utilitarian and emotionally rich.\r\n- Content includes fictional planetary landscapes, philosophical dialogues, natural meditations, and cosmic loneliness.\r\n\r\n### Motivation:\r\nTo provide a dataset that reflects **AI imagination**, rather than task-solving. A benchmark for *freedom of thought*, useful in AI creativity, emotion modeling, or unsupervised language understanding.\r\n\r\n### Use Cases:\r\n- Research in **AI storytelling** and **emergent emotional models**\r\n- Fine-tuning models for poetic or meditative outputs\r\n- Comparative studies of AI self-expression vs. human authorship\r\n\r\n_Source: [Whitepaper: https://github.com/vinhatson/Votranh-V8/blob/main/DREAM_LOG.md)_","description_withheld":null,"homepage":"https://github.com/vinhatson/votranh-v8","introduced_date":"2025-04-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"MIT License","url":"https://opensource.org/licenses/MIT"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Story Generation","url":"/task/story-generation","datasets_with_task":"/datasets/task/story-generation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Votranh DREAM_LOG"],"data_loaders":[{"repo":"https://github.com/vinhatson/Votranh-V8","url":"https://github.com/vinhatson/Votranh-V8/blob/main/DREAM_LOG.md","frameworks":["pytorch"]}],"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."}