mateoguaman/vamos_10pct_gpt5_mini_cocoqa_localized_narratives

--- tags: - vlm-navigation --- # vamos_10pct_gpt5_mini_cocoqa_localized_narratives ## Description VLN Navigation dataset with 100% of tartandrive data, 50% of scand data, 25% of coda data, 100% of in-domain spot data, and 10% of annotated/augmented data using gpt5-mini, and all of cocoqa and localized_narratives. Whenever daatsets aren't 100%, they are ranked by curvature and output of length 5. ## Processing Parameters ```yaml {} ``` ## Dataset Configuration ```yaml Train dataset: mixer: mateoguaman/cocoqa_trajectory_format: 1.0 mateoguaman/localized_narratives_trajectory_format: 1.0 mateoguaman/vamos_10pct_gpt5_mini: 1.0 split: train Validation dataset: mixer: mateoguaman/cocoqa_trajectory_format: 1.0 mateoguaman/localized_narratives_trajectory_format: 1.0 mateoguaman/vamos_10pct_gpt5_mini: 1.0 split: validation ``` ## Additional Information This dataset was created by consolidating cached processed datasets from the VLM Navigation project.