{"url":"/dataset/philpapers","name":"PhilPapers","full_name":null,"description_markdown":"**PhilPapers** is a remarkable resource for the philosophical community. Let me break it down for you:\r\n\r\n1. **PhilPapers**: It's an **online research platform** dedicated to philosophy. Think of it as a vast library where philosophers, researchers, and enthusiasts gather to explore and contribute to the field.\r\n\r\n2. **Comprehensive Index**: PhilPapers serves as a **comprehensive index and bibliography** for philosophy. It meticulously tracks all sources of research content in philosophy, including **journals, books, and open access archives**.\r\n\r\n3. **Open Access Archive**: Notably, PhilPapers hosts the **largest open access archive in philosophy**. This means that a wealth of philosophical content is freely accessible to anyone interested.\r\n\r\n4. **User-Driven**: The beauty of PhilPapers lies in its collaborative nature. It's maintained by the **community of philosophers**, which ensures that it remains up-to-date and relevant.\r\n\r\n5. **Categories Galore**: The index contains over **2.8 million entries** neatly categorized into **5,902 topics**. Whether you're into metaphysics, epistemology, aesthetics, or any other philosophical domain, PhilPapers has you covered.\r\n\r\n6. **Registered Users**: With a whopping **350,000 registered users**, PhilPapers fosters a vibrant exchange of ideas and scholarly engagement.\r\n\r\nIn summary, PhilPapers is like a philosophical treasure trove—a place where thinkers from all walks of life come together to explore, debate, and expand our understanding of the world. 🌟\r\n\r\n(1) PhilPapers: Online Research in Philosophy. https://philpapers.org/.\r\n(2) The-Pile-PhilPapers - GitHub. https://github.com/thoppe/The-Pile-PhilPapers.\r\n(3) PhilPapers with Full Text - Philosophy Documentation Center. https://www.pdcnet.org/philpapers.\r\n(4) Computational History of Philosophy of Science Dataset - PhilPapers. https://philpapers.org/rec/HICCHO.\r\n(5) Search results for `Dataset` - PhilPapers. https://philpapers.org/s/Dataset.","description_withheld":null,"homepage":"https://philpapers.org","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Language Modelling","url":"/task/language-modelling","datasets_with_task":"/datasets/task/language-modelling"}],"languages":[],"variants":["PhilPapers"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/language-modelling-on-philpapers","task":"Language Modelling","dataset_variant":"PhilPapers","rows":1,"metrics":["BPB"],"first_row_in_archive_order":{"model":"Gopher","paper":"/paper/scaling-language-models-methods-analysis-1","metrics":{"BPB":"0.695"},"code_links":[{"title":"allenai/dolma","url":"https://github.com/allenai/dolma"},{"title":"rvlopes/gloria","url":"https://github.com/rvlopes/gloria"},{"title":"bramiozo/PubScience","url":"https://github.com/bramiozo/PubScience"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/scaling-language-models-methods-analysis-1","title":"Scaling Language Models: Methods, Analysis & Insights from Training Gopher","date":"2021-12-08","rows_on_this_dataset":1,"code_links":3,"syntology":null}],"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."}