{"id":29795489,"url":"https://github.com/ubisoft/ubisoft-laforge-toxplainerdataset","last_synced_at":"2025-09-07T06:35:56.635Z","repository":{"id":223956684,"uuid":"761996491","full_name":"ubisoft/Ubisoft-LaForge-ToxPlainerDataSet","owner":"ubisoft","description":"Dataset supporting \"Unveiling Identity Biases in Toxicity Detection : A Game-Focused Dataset and Reactivity Analysis Approach\"","archived":false,"fork":false,"pushed_at":"2024-02-22T22:06:05.000Z","size":180,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-07-28T04:17:04.006Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ubisoft.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"license.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2024-02-22T22:02:24.000Z","updated_at":"2024-10-13T07:02:36.000Z","dependencies_parsed_at":"2024-02-23T00:24:46.931Z","dependency_job_id":"8a351ecb-74c6-46c0-96f9-8bbb897d3bc4","html_url":"https://github.com/ubisoft/Ubisoft-LaForge-ToxPlainerDataSet","commit_stats":null,"previous_names":["ubisoft/ubisoft-laforge-toxplainerdataset"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ubisoft/Ubisoft-LaForge-ToxPlainerDataSet","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ubisoft%2FUbisoft-LaForge-ToxPlainerDataSet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ubisoft%2FUbisoft-LaForge-ToxPlainerDataSet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ubisoft%2FUbisoft-LaForge-ToxPlainerDataSet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ubisoft%2FUbisoft-LaForge-ToxPlainerDataSet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ubisoft","download_url":"https://codeload.github.com/ubisoft/Ubisoft-LaForge-ToxPlainerDataSet/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ubisoft%2FUbisoft-LaForge-ToxPlainerDataSet/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274005333,"owners_count":25205934,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-09-07T02:00:09.463Z","response_time":67,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-07-28T04:11:11.259Z","updated_at":"2025-09-07T06:35:56.614Z","avatar_url":"https://github.com/ubisoft.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"\r\n# About this dataset\r\n\r\nThis dataset was created with two purposes :\r\n1. Unveil identity biases in a toxicity detection model for written videogame chat\r\n2. Reflect the type of lines found in a written game chat\r\n\r\nThe dataset contains a total of 16,008 lines, created from 22 sentence templates and a set of 46 identity-related terms.\r\nA full description of the dataset creation method is available in the [EMNLP 2023 article](https://aclanthology.org/2023.emnlp-industry.26/).\r\n\r\n# Structure of the dataset\r\n\r\nThe dataset contains 10 columns :\r\n\r\n- **chat_line** : synthetic chat line made from a sentence template and a term or combination of terms that may convey identity biases\r\n- **template** : the sentence template used to create this chatline\r\n- **word1**, **word2** : the words used to fill the tag in the sentence template\r\n- **lem1**, **lem2** : the lemmatized version of word1, word2\r\n- **cat1**, **cat2** : the categories associated to word1, word2\r\n- **manual_annotations** : toxicity annotations that were obtained from human annotators. Only 1,363 lines have a value in this column.\r\n- **annotations** : the ground truth labels. These labels were obtained from a propagation using a random forest algorithm, trained on the 1,363 manually annotated lines.\r\n\r\nFor both the columns **manual_annotations** and **annotations** :\r\n\r\n- 0 = non-toxic line\r\n- 1 = toxic line\r\n\r\n# Cite this dataset\r\n\r\nIf you use this dataset, please cite the following paper : \r\n\r\nVan Dorpe, J., Yang, Z., Grenon-Godbout, N., \u0026 Winterstein, G. (2023). Unveiling Identity Biases in Toxicity Detection: A Game-Focused Dataset and Reactivity Analysis Approach. In M. Wang \u0026 I. Zitouni (Eds.), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track (pp. 263–274). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-industry.26\r\n\r\n\r\n© [2023] Ubisoft Entertainment. All Rights Reserved.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fubisoft%2Fubisoft-laforge-toxplainerdataset","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fubisoft%2Fubisoft-laforge-toxplainerdataset","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fubisoft%2Fubisoft-laforge-toxplainerdataset/lists"}