{"url":"/dataset/imagenet-cn","name":"ImageNet_CN","full_name":"Chinese ImageNet Classification","description_markdown":"transform the ImageNet-1K classification datatset  for Chinese models by translating labels and prompts into Chinese.","description_withheld":null,"homepage":"https://github.com/OFA-Sys/Chinese-CLIP/blob/master/zeroshot_dataset.md","introduced_date":"2022-11-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/chinese-clip-contrastive-vision-language","title":"Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese","first_author":"An Yang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Zero-Shot Learning","url":"/task/zero-shot-learning","datasets_with_task":"/datasets/task/zero-shot-learning"},{"name":"Zero-Shot Cross-Modal Retrieval","url":"/task/zero-shot-cross-modal-retrieval","datasets_with_task":"/datasets/task/zero-shot-cross-modal-retrieval"},{"name":"Zero-shot Classification (unified classes)","url":"/task/zero-shot-classification-unified-classes","datasets_with_task":"/datasets/task/zero-shot-classification-unified-classes"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["ImageNet_CN"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/zero-shot-learning-on-imagenet-cn","task":"Zero-Shot Learning","dataset_variant":"ImageNet_CN","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"$M^2$-Encoder","paper":"/paper/boldsymbol-m-2-encoder-advancing-bilingual","metrics":{"Accuracy":"80.7"},"code_links":[{"title":"alipay/Ant-Multi-Modal-Framework","url":"https://github.com/alipay/Ant-Multi-Modal-Framework/tree/main/prj/M2_Encoder"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/boldsymbol-m-2-encoder-advancing-bilingual","title":"M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining","date":"2024-01-29","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}