metadata
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. Repackaged as parquet for tasksource by scripts/repackage_dataset/.