metadata
license: other
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
source_datasets: []
dataset_info:
features:
- name: images
list:
image:
decode: false
- name: inputs
dtype: string
- name: labels
dtype: int64
- name: metadata
dtype: string
- name: choices_list
list: string
splits:
- name: train
num_bytes: 3766337072
num_examples: 100000
- name: validation
num_bytes: 3342196
num_examples: 100
download_size: 3713324887
dataset_size: 3769679268
bapps
BAPPS native 2AFC human preferences; ordered reference, p0, p1 images.
Two training votes and five validation votes per triplet. Ties are excluded from the hard-choice view; fractions and vote counts remain in metadata. Only 2AFC is included, not JND. No perceptual model generates labels. Original code is BSD-2-Clause; it does not establish a license for the image dataset.
Repackaged as parquet for tasksource by scripts/repackage_dataset/regions.py.
Conversion provenance: source revisions, hashes, configuration and exclusions.
Release scope
Bounded samples of the eligible native annotations; full classification ontologies are retained.
- default: train: 100,000, validation: 100.
See provenance.json for source pins, selection seeds, rendering configuration and exclusions.