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mateoguaman/vamos_10pct_gpt5_mini

vamos_10pct_gpt5_mini 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. Whenever daatsets aren't 100%, they are ranked by curvature and output of length 5. Processing Parameters {} Dataset Configuration Train dataset: mixer: mateoguaman/vlmn_tartandrive100_scand50_coda25_spot100_sub5: 1.0… See the full description on the dataset page: https://huggingface.co/datasets/mateoguaman/vamos_10pct_gpt5_mini.

sourceHugging Faceupdated 1y agoView on Hugging Face

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Dataset Card

vamos10pctgpt5_mini

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. 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_10: 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_10: 1.0

  split: validation

Additional Information

This dataset was created by consolidating cached processed datasets from the VLM Navigation project.