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MMCS 773K Data
This repository contains the image archives and generated annotations used by MMCS (Multi-Modal Code-Switching).
Contents
annotations/: seven LLaVA-style JSON annotation files. Each file is a JSON array; it is not JSONL.images/: ZIP archives grouped by source dataset. Large sources are split into independent shards below 20 GB.
The release contains 773,779 records with 773,779 unique image paths. The ZIP entry paths exactly match the image fields in the annotations.
| Source | Samples |
|---|---|
| COCO 2014 | 75,033 |
| Flickr30K | 29,140 |
| GQA | 108,516 |
| Objects365 part 1 | 252,988 |
| Objects365 part 2 | 89,758 |
| Open Images | 127,237 |
| SA-1B | 91,107 |
| Total | 773,779 |
Download and extraction
hf download LockOnN/MMCS-Data --repo-type dataset --local-dir MMCS-Data
mkdir -p data/images
for archive in MMCS-Data/images/*.zip; do
unzip -q "$archive" -d data/images
done
After extraction, configure the annotation paths under annotations/ and use data/images as the image root.
Annotation format
Each sample contains an image path and LLaVA-style conversations, together with generated object annotations such as bounding boxes and segmentations. IDs are retained from the generated annotation sources and were not rewritten.
Release construction
The release first retains images shared with the MMCS 773K training recipe. Missing or duplicate old image keys are replaced by deterministic sampling from the corresponding larger 851K source, producing exactly 773,779 unique image paths. Construction details and sampled/missing image lists are included under annotations/.
Source data and licenses
The images originate from COCO, Flickr30K, GQA, Objects365, Open Images, and SA-1B. Users are responsible for complying with the licenses and terms of the corresponding source datasets. The generated MMCS annotations do not replace or modify those source terms.
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