{"url":"/dataset/edge-map-345c","name":"Edge-Map-345C","full_name":null,"description_markdown":"**Edge-Map-345C** is a large-scale edge-map dataset including 290,281 edge-maps corresponding to 345 object categories of QuickDraw dataset. In particular, these 345 categories are corresponding to the 345 free-hand sketch categories of Google QuickDraw dataset.\n\nSource: [https://github.com/PengBoXiangShang/EdgeMap345C_Dataset](https://github.com/PengBoXiangShang/EdgeMap345C_Dataset)\nImage Source: [https://github.com/PengBoXiangShang/EdgeMap345C_Dataset](https://github.com/PengBoXiangShang/EdgeMap345C_Dataset)","description_withheld":null,"homepage":"https://github.com/PengBoXiangShang/EdgeMap345C_Dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/on-learning-semantic-representations-for","title":"On Learning Semantic Representations for Million-Scale Free-Hand Sketches","first_author":"Peng Xu","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":"Learning Semantic Representations","url":"/task/learning-semantic-representations","datasets_with_task":"/datasets/task/learning-semantic-representations"}],"languages":[],"variants":["Edge-Map-345C"],"data_loaders":[{"repo":"https://github.com/PengBoXiangShang/EdgeMap345C_Dataset","url":"https://github.com/PengBoXiangShang/EdgeMap345C_Dataset","frameworks":[]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}