{"url":"/dataset/mfrc","name":"MFRC","full_name":"Moral Foundations Reddit Corpus","description_markdown":"**Moral Foundations Reddit Corpus (MFRC)** is a collection of 16,123 Reddit comments that have been curated from 12 distinct subreddits, hand-annotated by at least three trained annotators for 8 categories of moral sentiment (i.e., Care, Proportionality, Equality, Purity, Authority, Loyalty, Thin Morality, Implicit/Explicit Morality) based on the updated Moral Foundations Theory (MFT) framework.\r\n\r\nSource: [The Moral Foundations Reddit Corpus](https://paperswithcode.com/paper/the-moral-foundations-reddit-corpus)\r\n\r\nImage Source: [https://arxiv.org/pdf/2208.05545v2.pdf](https://arxiv.org/pdf/2208.05545v2.pdf)","description_withheld":null,"homepage":"https://huggingface.co/datasets/USC-MOLA-Lab/MFRC","introduced_date":"2022-08-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-moral-foundations-reddit-corpus","title":"The Moral Foundations Reddit Corpus","first_author":"Jackson Trager","url":null},"license":{"name":"cc-by-4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Sentiment Analysis","url":"/task/sentiment-analysis","datasets_with_task":"/datasets/task/sentiment-analysis"},{"name":"Transfer Learning","url":"/task/transfer-learning","datasets_with_task":"/datasets/task/transfer-learning"}],"languages":[],"variants":["MFRC"],"data_loaders":[],"num_papers_in_archive":9,"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."}