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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.