{"url":"/dataset/openxai","name":"OpenXAI","full_name":null,"description_markdown":"OpenXAI is the first general-purpose lightweight library that provides a comprehensive list of functions to systematically evaluate the quality of explanations generated by attribute-based explanation methods. OpenXAI supports the development of new datasets (both synthetic and real-world) and explanation methods, with a strong bent towards promoting systematic, reproducible, and transparent evaluation of explanation methods.\r\n\r\nOpenXAI is an open-source initiative that comprises of a collection of curated high-stakes datasets, models, and evaluation metrics, and provides a simple and easy-to-use API that enables researchers and practitioners to benchmark explanation methods using just a few lines of code.","description_withheld":null,"homepage":"https://open-xai.github.io/","introduced_date":"2022-06-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/openxai-towards-a-transparent-evaluation-of","title":"OpenXAI: Towards a Transparent Evaluation of Model Explanations","first_author":"Chirag Agarwal","url":null},"license":{"name":"MIT License","url":"https://github.com/AI4LIFE-GROUP/OpenXAI/blob/main/LICENSE"},"modalities":[{"name":"Tabular","url":"/datasets/modality/tabular"}],"tasks":[{"name":"Explainable artificial intelligence","url":"/task/explainable-artificial-intelligence","datasets_with_task":"/datasets/task/explainable-artificial-intelligence"},{"name":"Explainable Models","url":"/task/explainable-models","datasets_with_task":"/datasets/task/explainable-models"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["OpenXAI"],"data_loaders":[],"num_papers_in_archive":17,"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."}