{"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/190406472","title":"A Repository of Conversational Datasets","arxiv_id":"1904.06472","date":"2019-04-13","proceeding":"WS 2019 8","authors":["Matthew Henderson","Paweł Budzianowski","Iñigo Casanueva","Sam Coope","Daniela Gerz","Girish Kumar","Nikola Mrkšić","Georgios Spithourakis","Pei-Hao Su","Ivan Vulić","Tsung-Hsien Wen"],"abstract":"Progress in Machine Learning is often driven by the availability of large datasets, and consistent evaluation metrics for comparing modeling approaches. To this end, we present a repository of conversational datasets consisting of hundreds of millions of examples, and a standardised evaluation procedure for conversational response selection models using '1-of-100 accuracy'. The repository contains scripts that allow researchers to reproduce the standard datasets, or to adapt the pre-processing and data filtering steps to their needs. We introduce and evaluate several competitive baselines for conversational response selection, whose implementations are shared in the repository, as well as a neural encoder model that is trained on the entire training set.","url_abs":"https://arxiv.org/abs/1904.06472v2","url_pdf":"https://arxiv.org/pdf/1904.06472v2.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":"190406472","repo_url":"https://github.com/PolyAI-LDN/conversational-datasets","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"190406472","repo_url":"https://github.com/ACE-VSIT/ACE-Ampethatic_bot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"190406472","repo_url":"https://github.com/SarthakVaswani/ace_bot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"conversational-response-selection","task_name":"Conversational Response Selection"},{"task_slug":"dialogue-understanding","task_name":"Dialogue Understanding"}],"methods":[],"datasets_introduced":[{"slug":"reddit-corpus","name":"Reddit Corpus","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/conversational-response-selection-on-polyai-2","task":"Conversational Response Selection","dataset":"PolyAI AmazonQA","model":"PolyAI Encoder","rank_in_archive_order":2,"of":2,"metrics":{"1-of-100 Accuracy":"71.3%"},"uses_additional_data":false},{"leaderboard":"/sota/conversational-response-selection-on-polyai-1","task":"Conversational Response Selection","dataset":"PolyAI OpenSubtitles","model":"PolyAI Encoder","rank_in_archive_order":1,"of":1,"metrics":{"1-of-100 Accuracy":"30.6%"},"uses_additional_data":false},{"leaderboard":"/sota/conversational-response-selection-on-polyai","task":"Conversational Response Selection","dataset":"PolyAI Reddit","model":"PolyAI Encoder","rank_in_archive_order":3,"of":5,"metrics":{"1-of-100 Accuracy":"61.3%"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1904.06472","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1904.06472"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+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/SarthakVaswani/ace_bot","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/PolyAI-LDN/conversational-datasets","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ACE-VSIT/ACE-Ampethatic_bot","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"unverified":3},"by_repo_kind":{"official":{"samples":3,"ran":0,"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":0,"samples":[{"code_sha256_prefix":"dd194431b11f3d37","entry":"create_example","repo":"PolyAI-LDN/conversational-datasets","repo_kind":"official","path":"opensubtitles/create_data.py","file_url":"https://github.com/PolyAI-LDN/conversational-datasets/blob/HEAD/opensubtitles/create_data.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"dd194431b11f3d37"}},{"code_sha256_prefix":"9fd3f4fba784b6ed","entry":"normalise_comment","repo":"PolyAI-LDN/conversational-datasets","repo_kind":"official","path":"reddit/create_data.py","file_url":"https://github.com/PolyAI-LDN/conversational-datasets/blob/HEAD/reddit/create_data.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"9fd3f4fba784b6ed"}},{"code_sha256_prefix":"b4eb70b779c796c7","entry":"trim","repo":"PolyAI-LDN/conversational-datasets","repo_kind":"official","path":"reddit/create_data.py","file_url":"https://github.com/PolyAI-LDN/conversational-datasets/blob/HEAD/reddit/create_data.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"b4eb70b779c796c7"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}