---
dataset_info:
  features:
  - name: dataset
    dtype: string
  - name: image_id
    dtype: int64
  - name: image
    dtype: image
  - name: alt_text
    dtype: string
  - name: license
    dtype: string
  - name: source
    dtype: string
  - name: inclusive_alt_text
    dtype: string
  - name: need_training
    dtype:
      class_label:
        names:
          '0': 'no'
          '1': 'yes'
  - name: verified
    dtype:
      class_label:
        names:
          '0': 'no'
          '1': 'yes'
  - name: rejection_reasons
    sequence: string
  - name: added_by
    dtype: string
  - name: verified_by
    dtype: string
  - name: modified_date
    dtype: timestamp[ns]
  - name: nsfw
    dtype:
      class_label:
        names:
          '0': 'no'
          '1': 'yes'
  - name: golden
    dtype:
      class_label:
        names:
          '0': 'no'
          '1': 'yes'
  - name: gpt_alt_text
    dtype: string
  splits:
  - name: train
    num_bytes: 1181998959.01
    num_examples: 2970
  download_size: 1175986932
  dataset_size: 1181998959.01
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---


This dataset contains images and alt text from various sources. 

It is used to control the quality of https://huggingface.co/Mozilla/distilvit using the https://github.com/mozilla/checkvite application

This application let users try out the model on the images and classify them. The dataset is then updated. 
When an image is marked as `need_training` it will be use to fine-tune the model to fix some of its inaccuracies