{"url":"/dataset/autoweaks","name":"AutoWeakS","full_name":"AutoWeakS","description_markdown":"Collects all the courses from XuetangX5, one of the largest MOOCs in China, and this results in 1951 courses. The collected courses involve seven areas: computer science, economics, engineering, foreign language, math, physics, and social science. Each course contains 131 words in its descriptions on average. Contains 706 job postings from the recruiting website operated by JD.com (JD) and 2,456 job postings from the website owned by Tencent corporation (Tencent). The collected job postings involve six areas: technical post, financial post, product post, design post, market post, supply chain and engineering post. \r\n\r\nSource: [AutoWeakS](https://github.com/jerryhao66/AutoWeakS)","description_withheld":null,"homepage":"https://github.com/jerryhao66/AutoWeakS","introduced_date":"2020-12-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/recommending-courses-in-moocs-for-jobs-an","title":"Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach","first_author":"Bowen Hao","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[],"variants":["AutoWeakS"],"data_loaders":[{"repo":"https://github.com/jerryhao66/AutoWeakS","url":"https://github.com/jerryhao66/AutoWeakS","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."}