File size: 1,583 Bytes
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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](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/regions.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/regions.py#L353).
[Conversion provenance](provenance.json): 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](provenance.json) for source pins, selection seeds, rendering configuration and exclusions.
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