{"id":13457465,"url":"https://rajpurkar.github.io/SQuAD-explorer/","last_synced_at":"2025-03-24T14:32:13.373Z","repository":{"id":10616635,"uuid":"66346289","full_name":"rajpurkar/SQuAD-explorer","owner":"rajpurkar","description":"Visually Explore the Stanford Question Answering Dataset","archived":false,"fork":false,"pushed_at":"2023-10-13T20:58:11.000Z","size":53681,"stargazers_count":562,"open_issues_count":10,"forks_count":121,"subscribers_count":28,"default_branch":"master","last_synced_at":"2025-03-19T13:34:54.578Z","etag":null,"topics":["dataset","leaderboard","visual-analysis"],"latest_commit_sha":null,"homepage":"https://rajpurkar.github.io/SQuAD-explorer/","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rajpurkar.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2016-08-23T07:57:52.000Z","updated_at":"2025-03-18T15:37:39.000Z","dependencies_parsed_at":"2022-08-17T22:35:28.362Z","dependency_job_id":"60be393e-181a-4fc7-97c3-e60b38ce8992","html_url":"https://github.com/rajpurkar/SQuAD-explorer","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rajpurkar%2FSQuAD-explorer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rajpurkar%2FSQuAD-explorer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rajpurkar%2FSQuAD-explorer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rajpurkar%2FSQuAD-explorer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rajpurkar","download_url":"https://codeload.github.com/rajpurkar/SQuAD-explorer/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245289607,"owners_count":20591101,"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","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":["dataset","leaderboard","visual-analysis"],"created_at":"2024-07-31T09:00:25.082Z","updated_at":"2025-03-24T14:32:08.968Z","avatar_url":"https://github.com/rajpurkar.png","language":"JavaScript","funding_links":[],"categories":["Datasets","Related Records (best)","Datasets-or-Benchmark","图谱及数据集","Academic","Benchmarks","Type of Dataset","Uncategorized","Competitions in QA","Practical Resources","Researchers","Internet Database","Tasks and Methods"],"sub_categories":["Citation","NLP","Commercial models","通用","数据集","Global Dataset","Training-Free Approaches","Data","Knowledge Graphs","Span Based","Uncategorized","Most QA systems have roughly 3 parts","Some Datasets","Datasets","Natural Language Processing","Question Answering and Reading Comprehension"],"readme":"# SQuAD-explorer\nThe [Stanford Question Answering Dataset](https://stanford-qa.com](https://rajpurkar.github.io/SQuAD-explorer/)) is a large reading comprehension dataset.\nThis repository is intended to let people explore the dataset and visualize model predictions.\n\nThis website is hosted on the [gh-pages branch](https://github.com/rajpurkar/SQuAD-explorer/tree/gh-pages).\n\n## Testing models on your own data\nHere are instructions for generating predictions of a model from the SQuAD leaderboard on custom data. This is done through [CodaLab Worksheets](https://worksheets.codalab.org/).\n\n1. Get the CodaLab UUID for the model you want to run by clicking on its name on the SQuAD leaderboard. For instance, clicking on the original BERT model submitted by Google AI for SQuAD 2.0 takes you to [https://worksheets.codalab.org/bundles/0xbe9df0807151427f92fc306189b6d63e](https://worksheets.codalab.org/bundles/0xbe9df0807151427f92fc306189b6d63e), which tells you that `0xbe9df0807151427f92fc306189b6d63e` is the CodaLab UUID for this submission.\n\n2. Upload your dataset to CodaLab.\n\n3. Use `cl mimic` to mimic the model:\n\n```\ncl mimic \u003cofficial_squad_dev_set_uuid\u003e \u003cmodel_submission_uuid\u003e \u003cuuid_of_your_dataset\u003e\n```\n\nThe official SQuAD development set UUIDs are:\n* `0x8f29fe78ffe545128caccab74eb06c57` for SQuAD 1.1\n* `0xb30d937a18574073903bb38b382aab03` for SQuAD 2.0\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/rajpurkar.github.io%2FSQuAD-explorer%2F","html_url":"https://awesome.ecosyste.ms/projects/rajpurkar.github.io%2FSQuAD-explorer%2F","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/rajpurkar.github.io%2FSQuAD-explorer%2F/lists"}