Datasets:
File size: 1,377 Bytes
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license: cc-by-4.0
task_categories:
- visual-question-answering
- object-detection
tags:
- coco
- grounding
- visual-reasoning
---
# RefStuff
This release contains two COCO 2014-derived splits for visual grounding with
reference-style horizontal rows of repeated non-person objects.
## Layout
- `coco2014_candidates_4to8_unfiltered/`: 15,577 candidate images. Each has
one selected non-person COCO category with 4-8 annotated instances.
- `strict_ready_131/`: 131 visually screened samples with complete grounding
annotations. Every item passed whole-image row screening and individual
crop validation.
## Strict grounding format
`strict_ready_131/grounding.jsonl` is the final annotation file. Each record
includes the source image, target category, COCO instance IDs, visual row
assignment, crop checks, and per-instance Chinese reference text. Reference
text follows this form:
`从上到下第N行从左数第K个<category>`
or:
`从上到下第N行从右数第K个<category>`
Rows are numbered from top to bottom. The left/right ordinal is selected for
each instance according to its side of the assigned horizontal row.
## Provenance
Images and instance metadata originate from COCO 2014. The unfiltered split
is a candidate pool, not a final-quality row dataset. The strict split is the
screened subset intended for grounding use.
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