{"url":"/dataset/placenta","name":"Placenta","full_name":null,"description_markdown":"**Placenta** is a benchmark dataset for node classification in an underexplored domain: predicting microanatomical tissue structures from cell graphs in placenta histology whole slide images. Cell graphs are large (>1 million nodes per image), node features are varied (64-dimensions of 11 types of cells), class labels are imbalanced (9 classes ranging from 0.21% of the data to 40.0%), and cellular communities cluster into heterogeneously distributed tissues of widely varying sizes (from 11 nodes to 44,671 nodes for a single structure).\r\n\r\nSource: [A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs](https://arxiv.org/pdf/2211.06292v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2211.06292v1.pdf](https://arxiv.org/pdf/2211.06292v1.pdf)","description_withheld":null,"homepage":"https://github.com/Nellaker-group/placenta","introduced_date":"2022-11-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-new-graph-node-classification-benchmark","title":"A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs","first_author":"Claudia Vanea","url":null},"license":{"name":"MIT License","url":"https://github.com/Nellaker-group/placenta/blob/main/LICENSE"},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"},{"name":"Biomedical","url":"/datasets/modality/biomedical"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Node Classification","url":"/task/node-classification","datasets_with_task":"/datasets/task/node-classification"},{"name":"Community Detection","url":"/task/community-detection","datasets_with_task":"/datasets/task/community-detection"},{"name":"Graph Clustering","url":"/task/graph-clustering","datasets_with_task":"/datasets/task/graph-clustering"}],"languages":[],"variants":["Placenta"],"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/node-classification-on-placenta","task":"Node Classification","dataset_variant":"Placenta","rows":5,"metrics":["Accuracy (%)"],"first_row_in_archive_order":{"model":"GraphSAGE","paper":"/paper/a-new-graph-node-classification-benchmark","metrics":{"Accuracy (%)":"64.88±0.43"},"code_links":[{"title":"nellaker-group/placenta","url":"https://github.com/nellaker-group/placenta"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-new-graph-node-classification-benchmark","title":"A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs","date":"2022-11-11","rows_on_this_dataset":5,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":1,"samples_harvested":3,"samples_ran":2,"samples_unverified":1,"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."}