---
dataset_info:
  features:
  - name: images
    list:
      image:
        decode: false
  - name: image_group_id
    dtype: string
  - name: qa
    list:
    - name: view
      dtype: string
    - name: inputs
      dtype: string
    - name: choices_list
      list: string
    - name: labels
      dtype: int64
    - name: metadata
      dtype: string
  splits:
  - name: test
    num_bytes: 146964377
    num_examples: 977
  - name: train
    num_bytes: 1329129783
    num_examples: 8780
  - name: validation
    num_bytes: 148820981
    num_examples: 984
  download_size: 1624905594
  dataset_size: 1624915141
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
language:
- en
license: other
source_datasets:
- nlphuji/flickr30k
task_categories:
- multiple-choice
- visual-question-answering
tags:
- decision-model
- grounding
license_name: flickr30k-original-noncommercial-image-terms
license_link: https://github.com/BryanPlummer/flickr30k_entities#flickr30k-entities-dataset
---

# flickr30k-grounding

Human phrase grounding from Flickr30k Entities, with native image-level splits.

Each question retains the complete caption and marks the queried phrase in text.
Only chains with one native target box are included; other annotated image regions
supply choices, never invented negatives. Known unrelated captions are excluded.
Images are stored once with canonical grouped QAs, unchanged from the image source.
The training cap counts questions, not image rows. Original images are provided
for noncommercial research/education under Flickr terms; annotation/code access
does not grant ownership of those images.

Original data: [nlphuji/flickr30k](https://huggingface.co/datasets/nlphuji/flickr30k), [original distribution](https://github.com/BryanPlummer/flickr30k_entities). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/flickr_grounding.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/flickr_grounding.py#L49).

Images are stored once with grouped `qa` records: train: 100,000 questions / 8,780 image groups, validation: 11,232 questions / 984 image groups, test: 11,560 questions / 977 image groups.

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

[Coarse source/recast audit](https://github.com/sileod/tasksource/blob/main/docs/jev/audits/flickr30k-grounding-recast.json).