---
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.