{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/citynet-a-multi-city-multi-modal-dataset-for","title":"CityNet: A Comprehensive Multi-Modal Urban Dataset for Advanced Research in Urban Computing","arxiv_id":"2106.15802","date":"2021-06-30","proceeding":null,"authors":["Zhengfei Zheng","Xu Geng","Hai Yang"],"abstract":"Data-driven approaches have emerged as a popular tool for addressing challenges in urban computing. However, current research efforts have primarily focused on limited data sources, which fail to capture the complexity of urban data arising from multiple entities and their interconnections. Therefore, a comprehensive and multifaceted dataset is required to enable more extensive studies in urban computing. In this paper, we present CityNet, a multi-modal urban dataset that incorporates various data, including taxi trajectory, traffic speed, point of interest (POI), road network, wind, rain, temperature, and more, from seven cities. We categorize this comprehensive data into three streams: mobility data, geographical data, and meteorological data. We begin by detailing the generation process and basic properties of CityNet. Additionally, we conduct extensive data mining and machine learning experiments, including spatio-temporal predictions, transfer learning, and reinforcement learning, to facilitate the use of CityNet. Our experimental results provide benchmarks for various tasks and methods, and also reveal internal correlations among cities and tasks within CityNet that can be leveraged to improve spatiotemporal forecasting performance. Based on our benchmarking results and the correlations uncovered, we believe that CityNet can significantly contribute to the field of urban computing by enabling research on advanced topics.","url_abs":"https://arxiv.org/abs/2106.15802v2","url_pdf":"https://arxiv.org/pdf/2106.15802v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"citynet-a-multi-city-multi-modal-dataset-for","repo_url":"https://github.com/citynet-at-git/Citynet-phase1","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"benchmarking","task_name":"Benchmarking"},{"task_slug":"transfer-learning","task_name":"Transfer Learning"}],"methods":[],"datasets_introduced":[{"slug":"citynet","name":"CityNet","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2106.15802","atlas_url":"https://app.syntology.ai/?focus=2106.15802","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2106.15802"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/citynet-at-git/Citynet-phase1","reach":null}],"summary":{"ran_draft_wrong":1,"unverified":4},"by_repo_kind":{"official":{"samples":5,"ran":1,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":5,"samples":[{"code_sha256_prefix":"259764c1faee4c73","entry":"min_max_normalize","repo":"citynet-at-git/Citynet-phase1","repo_kind":"official","path":"code1/gen_rt_dict.py","file_url":"https://github.com/citynet-at-git/Citynet-phase1/blob/HEAD/code1/gen_rt_dict.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"259764c1faee4c73"}},{"code_sha256_prefix":"e842f85c98607439","entry":"load_data","repo":"citynet-at-git/Citynet-phase1","repo_kind":"official","path":"code1/gen_rt_dict.py","file_url":"https://github.com/citynet-at-git/Citynet-phase1/blob/HEAD/code1/gen_rt_dict.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"e842f85c98607439"}},{"code_sha256_prefix":"a03e1966d53ebaa4","entry":"masked_mae","repo":"citynet-at-git/Citynet-phase1","repo_kind":"official","path":"code2/run_traffic.py","file_url":"https://github.com/citynet-at-git/Citynet-phase1/blob/HEAD/code2/run_traffic.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"a03e1966d53ebaa4"}},{"code_sha256_prefix":"e163bce0b763b526","entry":"min_max_normalize","repo":"citynet-at-git/Citynet-phase1","repo_kind":"official","path":"code2/run_traffic.py","file_url":"https://github.com/citynet-at-git/Citynet-phase1/blob/HEAD/code2/run_traffic.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"e163bce0b763b526"}},{"code_sha256_prefix":"617926f06a2283fa","entry":"region_match_seq_corr","repo":"citynet-at-git/Citynet-phase1","repo_kind":"official","path":"code1/gen_rt_dict.py","file_url":"https://github.com/citynet-at-git/Citynet-phase1/blob/HEAD/code1/gen_rt_dict.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"617926f06a2283fa"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}