---
dataset_info:
  features:
  - name: images
    list:
      image:
        decode: false
  - name: image_group_id
    dtype: string
  - name: qa
    list:
    - name: inputs
      dtype: string
    - name: choices_list
      list: string
    - name: labels
      dtype: int64
    - name: metadata
      dtype: string
  splits:
  - name: train
    num_bytes: 440801215
    num_examples: 2434
  download_size: 440799860
  dataset_size: 440801215
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-sa-4.0
source_datasets:
- HuggingFaceM4/the_cauldron
---

# ai2d

AI2D's Cauldron training release, with prompt-encoded choices parsed once.

Source: HuggingFaceM4/the_cauldron, ai2d config, pinned at
847a98a779b1652d65111daf20c972dfcd333605. Original encoded images and question
order are retained. Canonical QAs share one ordered image set. No splits are
fabricated. Ambiguous duplicate gold options are recorded and excluded;
repeated distractors are deduplicated with gold indices remapped.
Original AI2D license: CC BY-SA 4.0, as linked by the AWS dataset registry:
https://registry.opendata.aws/allenai-diagrams/

Original data: [HuggingFaceM4/the_cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/](https://github.com/sileod/tasksource/tree/main/scripts/repackage_dataset).