---
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: 3782962890
    num_examples: 94135
  - name: validation
    num_bytes: 3792161
    num_examples: 100
  download_size: 3786274082
  dataset_size: 3786755051
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
language:
- en
license:
- mit
- cc-by-4.0
source_datasets:
- maveryn/sphinx
task_categories:
- multiple-choice
- visual-question-answering
tags:
- decision-model
- procedural
---

# sphinx-mcq

Fresh SPHINX visual MC: charts, transformations and geometric counting.

Uses four reviewed task families, native same-scene choices and nearby count
alternatives. Original panel labels stay fixed in images. Gold comes from the
native constructive generator and its uniqueness guards, not a model judge.
Code is MIT; shipped icon assets carry CC BY 4.0 attribution.

Original data: [maveryn/sphinx](https://huggingface.co/datasets/maveryn/sphinx), [original distribution](https://github.com/maveryn/sphinx). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/procedural/suites.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/procedural/suites.py#L99).

[Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions.

[Upstream asset credits and licenses](asset-notices.json) accompany the original rendered images.

[Generation checkpoints](generation-checkpoints.json) record each chunk’s seeds and exclusions. Reproduce with the [resumable scale script](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/procedural/scale.py).