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---
license: mit
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
source_datasets:
- RyanWW/Super-CLEVR
dataset_info:
features:
- name: images
list:
image:
decode: false
- name: image_group_id
dtype: string
- name: qa
list:
- name: inputs
dtype: string
- name: labels
dtype: string
- name: view
dtype: string
- name: metadata
dtype: string
splits:
- name: train
num_bytes: 7931195023
num_examples: 19983
- name: validation
num_bytes: 39204733
num_examples: 99
- name: test
num_bytes: 39624501
num_examples: 100
download_size: 8010228834
dataset_size: 8010024257
---
# superclevr
Super-CLEVR: original PNG bytes with grouped, program-typed questions.
Native train/validation/test image partitions are retained. Bounded uniform
question samples share one image per group. Yes/no, count, color, vehicle
subtype, size and material views use explicit answer vocabularies. Programs
and answer traces never enter model inputs. Source dataset license: MIT.
Original data: [RyanWW/Super-CLEVR](https://huggingface.co/datasets/RyanWW/Super-CLEVR). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/superclevr.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/superclevr.py#L57).
[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: 19,983, validation: 99, test: 100.
See [provenance.json](provenance.json) for source pins, selection seeds, rendering configuration and exclusions.