size_categories:n<1K format:parquet modality:image modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: conv_id
    dtype: int64
  - name: task_name
    dtype: string
  - name: task_descrip
    dtype: string
  - name: model
    dtype: string
  - name: visual_input
    dtype: image
  - name: model_output
    dtype: string
  - name: interp_method
    dtype: string
  - name: interp_img
    dtype: image
  - name: interp_descrip
    dtype: string
  - name: interp_tech_descrip
    dtype: string
  - name: input
    dtype: string
  - name: output
    dtype: string
  - name: resized_visual_input
    dtype: image
  - name: resized_interp_img
    dtype: image
  splits:
  - name: train
    num_bytes: 101378793.0
    num_examples: 171
  - name: validation
    num_bytes: 25992754.0
    num_examples: 43
  - name: test
    num_bytes: 132167778.0
    num_examples: 221
  download_size: 6236917
  dataset_size: 259539325.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
---


### Dataset Description
This dataset is a recreation of new_conv_xai, after I went back and completely cleaned up the original train and test jsons.

This dataset is derived from cleaned_conv_xai. cleaned_conv_xai had the integration of all the images and other metadata together with each of the 30 conversations from the train and test json files.<br>
cleaned_conv_xai_augmented takes it a step further and converts each of those conversations into subsets of conversation histories, creating inputs and outputs that we can finetune the model on.<br>
Each of these input-output pairs are associated with their corresponding conversation's metadata.<br>