metadata
dataset_info:
features:
- name: images
list:
image:
decode: false
- name: image_group_id
dtype: string
- name: qa
list:
- name: inputs
dtype: string
- name: labels
dtype: int64
- name: metadata
dtype: string
- name: choices_list
list: string
splits:
- name: validation
num_bytes: 14099553
num_examples: 189
- name: test
num_bytes: 14468951
num_examples: 181
- name: train
num_bytes: 38882149
num_examples: 550
download_size: 67444148
dataset_size: 67450653
configs:
- config_name: default
data_files:
- split: validation
path: data/validation-*
- split: test
path: data/test-*
- split: train
path: data/train-*
license: other
source_datasets: []
memeqa
MemeQA's native single-answer MCQs, preserving meme-level train/dev/test.
Original annotations: https://github.com/npnkhoi/memeqa. Human interpretations, automatically constructed distractors and human answer verification (ACL 2025). Uses none_minus only; native multiselect QAs are omitted, never forced to one answer. Joins the original SemEval images without decoding/re-encoding them. Annotation repository: MIT; meme images retain their original rights, which are not covered by the annotation code license. No synthetic splits/options.
Original data: original distribution. Repackaged as parquet for tasksource by scripts/repackage_dataset/memes.py.
Conversion provenance: source revisions, hashes, configuration and exclusions.