mateoguaman/vamos_25pct_gpt5_nano

--- tags: - vlm-navigation --- # vamos_25pct_gpt5_nano ## Description VLN Navigation dataset with 100% of tartandrive data, 50% of scand data, 25% of coda data, 100% of in-domain spot data, and 25% of annotated/augmented data using gpt5-nano. 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/vlmn_tartandrive100_scand50_coda25_spot100_sub5: 1.0 mateoguaman/vlmn_tartandrive100_scand50_coda25_spot100_sub5_filtered_trajectories_training_25_fixed: 1.0 split: train Validation dataset: mixer: mateoguaman/vlmn_tartandrive100_scand50_coda25_spot100_sub5: 1.0 mateoguaman/vlmn_tartandrive100_scand50_coda25_spot100_sub5_filtered_trajectories_training_25_fixed: 1.0 split: validation ``` ## Additional Information This dataset was created by consolidating cached processed datasets from the VLM Navigation project.