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README.md

@@ -40,4 +40,32 @@ configs:
     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
 ---
+
+# 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.