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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: validation
num_bytes: 240432366
num_examples: 2000
- name: train
num_bytes: 12212389445
num_examples: 100000
download_size: 12453782687
dataset_size: 12452821811
configs:
- config_name: default
data_files:
- split: validation
path: data/validation-*
- split: train
path: data/train-*
language:
- en
license: cc-by-4.0
source_datasets:
- maveryn/trace
task_categories:
- multiple-choice
- visual-question-answering
tags:
- decision-model
- procedural
---
# trace-mcq
TRACE MC retains native training/validation QAs and adds fresh training generations.
Original data: https://huggingface.co/datasets/maveryn/trace. New instances use
the pinned TRACE generator and independent seeds; native training answers supply
same-task distractors checked with the original scorer. The native validation
split is preserved, and image/question/gold duplicates and held-out image copies
are excluded from the fresh training additions. Seeds and rendering versions are
recorded; execution traces and gold targets stay out of model inputs. Dataset
terms: CC BY 4.0, with the original asset credits and licenses retained.
Original data: [maveryn/trace](https://huggingface.co/datasets/maveryn/trace), [original distribution](https://huggingface.co/datasets/maveryn/trace), [upstream generator and verifier](https://github.com/maveryn/trace). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/procedural/trace_generate.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/procedural/trace_generate.py#L75).
[Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions.
[Upstream asset credits and licenses](asset-notices.json) accompany the original rendered images.
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