Datasets:
File size: 2,037 Bytes
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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).
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