Dataset / Complementary /README.md
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Complementary NTIRE Real images

This prefix contains 25,000 additional NTIRE label=0 Real images. Every image has width > 512 and height > 512. The original 12,607 rows remain in seven immutable train-xxxxx-of-00007.parquet files; the 12,393 shard_4 continuation is stored in seven train-append-shard4-xxxxx-of-00007.parquet files.

The append selection excludes every sample_id or image SHA-256 already in the 50K NTIRE/real set or the original Complementary set. Original JPEG bytes are embedded without re-encoding and every row matches profile d39db51fdcf2ed8c0f2148e77eb00b5f48d4993e8fa2d5e501a28188e1fd9f44.

from datasets import load_dataset

dataset = load_dataset(
    "Edward0707/TechJam2026_Jamlai_Bench",
    data_files={"train": "Complementary/train-*.parquet"},
)

selection_manifest.csv contains row-level provenance and hashes; summary.json records both immutable generations and their validation.