{"url":"/dataset/cmcnc","name":"CMCNC","full_name":"Coherent Multiple Choice Narrative Cloze","description_markdown":"The **Coherent Multiple Choice Narrative Cloze** (**CMCNC**) dataset is an evaluation dataset for the multi-choice narrative cloze task, where the goal is to distinguish which event has been held out from a document from a small set of randomly drawn events.\n\nSource: [https://arxiv.org/pdf/1711.07611.pdf](https://arxiv.org/pdf/1711.07611.pdf)","description_withheld":null,"homepage":"https://github.com/stonybrooknlp/event-tensors","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/event-representations-with-tensor-based","title":"Event Representations with Tensor-based Compositions","first_author":"Noah Weber","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["CMCNC"],"data_loaders":[{"repo":"https://github.com/stonybrooknlp/event-tensors","url":"https://github.com/stonybrooknlp/event-tensors","frameworks":["tf"]}],"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":"2026-09-25T09:33:49+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."}