Wissam42/SEA-VL-Crawling-I2T

SeaVLCrawlingI2TRetrieval An MTEB dataset Massive Text Embedding Benchmark SEA-VL crawling is a large-scale Southeast Asia–focused image–caption collection (~1.27M web-crawled culturally relevant pairs). For MTEB evaluation we deterministically downsample to 2048 image–caption pairs via a seeded streaming shuffle (buffer=10000), using the first non-empty caption per image. Queries are images; the corpus contains captions (image→text retrieval). Task category… See the full description on the dataset page: https://huggingface.co/datasets/Wissam42/SEA-VL-Crawling-I2T.