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metadata
license: cdla-permissive-2.0
task_categories:
  - tabular-regression
pretty_name: sc_dentategyrus_latenttime
tags:
  - tabular
  - singlecell
  - regression
  - Biomedical
  - Benchmark
  - rna-seq
  - dynamic-transcriptomics
configs:
  - config_name: sc_dentategyrus_latenttime
    data_files:
      - split: train
        path: data/train.parquet
      - split: validation
        path: data/val.parquet
      - split: test
        path: data/test.parquet
dataset_info:
  description: >-
    Single-cell RNA-seq data from the developing mouse dentate gyrus (P12 and
    P35) measured with 10x Genomics Chromium. The dentate gyrus is part of the
    hippocampus involved in learning, episodic memory and spatial coding. The
    dataset captures the granule cell lineage — neuroblasts differentiating into
    granule cells — as well as distinct cell types such as Cajal-Retzius and
    GABA cells. The task is to predict the latent time (pseudotime) of each cell
    along the transcriptomic differentiation trajectory, inferred from RNA
    velocity dynamics.