{"id":18096617,"url":"https://github.com/andreaschandra/causalqa","last_synced_at":"2026-02-18T16:02:00.593Z","repository":{"id":115162911,"uuid":"565440716","full_name":"andreaschandra/CausalQA","owner":"andreaschandra","description":"CausalQA: A Benchmark for Causal Question Answering","archived":false,"fork":false,"pushed_at":"2022-11-20T06:19:16.000Z","size":190,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-14T07:06:22.742Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/andreaschandra.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2022-11-13T12:28:21.000Z","updated_at":"2023-11-06T16:52:09.000Z","dependencies_parsed_at":null,"dependency_job_id":"75dd563c-4fe2-4049-99b0-65a6240dd323","html_url":"https://github.com/andreaschandra/CausalQA","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/andreaschandra/CausalQA","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreaschandra%2FCausalQA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreaschandra%2FCausalQA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreaschandra%2FCausalQA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreaschandra%2FCausalQA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/andreaschandra","download_url":"https://codeload.github.com/andreaschandra/CausalQA/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/andreaschandra%2FCausalQA/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29585441,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-18T13:56:48.962Z","status":"ssl_error","status_checked_at":"2026-02-18T13:54:34.145Z","response_time":162,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":"2024-10-31T19:14:50.408Z","updated_at":"2026-02-18T16:02:00.576Z","avatar_url":"https://github.com/andreaschandra.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# CausalQA: A Benchmark for Causal Question Answering\n\nFork from [official repository](https://github.com/webis-de/coling22-benchmark-for-causal-question-answering)\n\n### Data\n\nDownload dataset and pretrained model [here](https://zenodo.org/record/7186761#.Y3DxncdBy5c)\n\nYou can [download](https://webis.de/data#webis-causalqa-22) the Webis-CausalQA-22 corpus. To recreate the ELI5 part, check instructions bellow.\n\nThe 10 datasets used to construct Webis-CausalQA-22 corpus:\n\n| Dataset | Website | License | License type |\n| :---------------- | :-------------------------------------------------------------------------------------- | :--------------------------------------------------- | :-------------------- |\n| PAQ | [Page](https://github.com/facebookresearch/PAQ) | https://github.com/facebookresearch/PAQ#data-license | CC BY-SA 3.0 |\n| GooAQ | [Page](https://github.com/allenai/gooaq/ | https://github.com/allenai/gooaq/blob/main/LICENSE | Apache License V. 2.0 |\n| MS MARCO | [Page](https://microsoft.github.io/msmarco/ | same as source | Own Terms |\n| Natural Questions | [Page](https://ai.google.com/research/NaturalQuestions/download | same as source | CC BY-SA 3.0 |\n| ELI5 | https://github.com/facebookresearch/ELI5 or https://huggingface.co/datasets/eli5 (used) | same as source | Hosting not allowed |\n| SearchQA | https://github.com/nyu-dl/dl4ir-searchQA | same as source | No information |\n| SQuAD 2.0 | https://rajpurkar.github.io/SQuAD-explorer/ | same as source | CC BY-SA 4.0 |\n| NewsQA | https://github.com/Maluuba/newsqa | same as source | Own Terms |\n| HotpotQA | https://hotpotqa.github.io/ | same as source | CC BY-SA 4.0 |\n| TriviaQA | https://nlp.cs.washington.edu/triviaqa/index.html | same as source | No information |\n\n`ELI5` is also available in Hugging Face https://huggingface.co/datasets/eli5 that contains a script for downloading the data. This blog post provides a guide of how to download the data as well: https://yjernite.github.io/lfqa.html (was used).\n\n_Example to obtain the `ELI5` data_\n\n```\npip install nlp\n\nimport nlp\neli5 = nlp.load_dataset('eli5')\n\ntrain_set = eli5['train_eli5']\nval_set = eli5['validation_eli5']\n```\n\nUse the [regex rules](rules/causal-rules.ipynb) to identify causal questions.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandreaschandra%2Fcausalqa","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fandreaschandra%2Fcausalqa","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fandreaschandra%2Fcausalqa/lists"}