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Co-Instruct-Plus
Two-stage training data and IQA test sets for Co-Instruct-Plus (Qwen3-VL). This card describes the code protocol, not older paper counts.
Weights (not in this repo): yluo016/Co-instruct__.
Download
JSON/metadata are already unpacked in the repo. Images are packed (uncompressed .tar; JPEGs do not benefit from gzip):
archives/koniq10k_512x384.tar # Stage-2 / KonIQ eval images
archives/iqa_benchmarks.tar # LIVE CSIQ KADID BID CLIVE TID2013 AGIQA3K PIPAL
archives/stage1_data.tar # Stage-1 IMAGE_FOLDER/data
hf download yluo016/co-instruct-plus --repo-type dataset --local-dir co-instruct-plus
cd co-instruct-plus
tar -xf archives/koniq10k_512x384.tar
tar -xf archives/iqa_benchmarks.tar
tar -xf archives/stage1_data.tar
After extract, the layout matches the training scripts (IMAGE_FOLDER / ROOT_DATA = this directory):
annotations/ # Stage-1 JSON (relative paths under data/)
data/ # Stage-1 images
koniq10k/512x384/ # Stage-2 KonIQ images
koniq10k/metas/train_koniq_7k.json
KONIQ/metas/ # mos.json, split.json, test_koniq_2k.json
LIVE/ CSIQ/ KADID10K/ BID/ CLIVE/ TID2013/ AGIQA3K/ PIPAL/ SPAQ/
export IMAGE_FOLDER=/path/to/co-instruct-plus
export ANNOTATIONS_DIR=$IMAGE_FOLDER/annotations
export ROOT_DATA=/path/to/co-instruct-plus
export KONIQ_IMAGES_DIR=$ROOT_DATA/koniq10k/512x384
Stage 1 (SFT)
Nine JSON lists, 912,826 samples (sampling_strategy: all), including coinstruct_562k_t2c.json.
Stage 2 (score)
KonIQ-only online pairing: koniq10k/metas/train_koniq_7k.json (~7,046 train images).
This repo does not include pairs_180k.json.
Test
eval_iqa.sh metas for LIVE, CSIQ, KADID-10K, BID, CLIVE, KonIQ, TID2013, AGIQA-3K, PIPAL, SPAQ.
SPAQ images are not included (local SPAQ/images was empty). Download official SPAQ images and set SPAQ_IMAGES_DIR.
KonIQ test JSON uses KONIQ/images/...; point KONIQ_IMAGES_DIR at koniq10k/512x384.
Licenses
Annotation text in this repo is provided for research. Underlying images remain under their original terms (KonIQ-10K, KADIS/KADID, LIVE, CSIQ, BID, CLIVE/LIVE-Challenge, TID2013, PIPAL, SPAQ, AGIQA-3K, etc.). Obtain rights from each source before redistribution or commercial use.
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