---
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: 5769627677
    num_examples: 94157
  - name: validation
    num_bytes: 4020063
    num_examples: 83
  download_size: 5773110820
  dataset_size: 5773647740
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
language:
- en
license: other
source_datasets: []
task_categories:
- multiple-choice
- visual-question-answering
tags:
- decision-model
- procedural
license_name: tron-research-use
license_link: https://github.com/YangTianze009/TRON#license
---

# tron-mcq

TRON MC keeps native images, options and labels, clarifying rounded measurements.

Source: https://github.com/YangTianze009/TRON (research-use terms). Some geometry
figures display rounded measurements while their source gold retains additional
precision. Replace the exact two-decimal output request with a closest-offered-value
MC instruction. Original questions remain in metadata. This repairs the pinned
100,000-QA mirror without regenerating any images or changing supervision.

Original data: [original distribution](https://github.com/YangTianze009/TRON). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/procedural/tron.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/procedural/tron.py#L128).

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

[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).