{"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/squad-100000-questions-for-machine","title":"SQuAD: 100,000+ Questions for Machine Comprehension of Text","arxiv_id":"1606.05250","date":"2016-06-16","proceeding":"EMNLP 2016 11","authors":["Pranav Rajpurkar","Jian Zhang","Konstantin Lopyrev","Percy Liang"],"abstract":"We present the Stanford Question Answering Dataset (SQuAD), a new reading\ncomprehension dataset consisting of 100,000+ questions posed by crowdworkers on\na set of Wikipedia articles, where the answer to each question is a segment of\ntext from the corresponding reading passage. We analyze the dataset to\nunderstand the types of reasoning required to answer the questions, leaning\nheavily on dependency and constituency trees. We build a strong logistic\nregression model, which achieves an F1 score of 51.0%, a significant\nimprovement over a simple baseline (20%). However, human performance (86.8%) is\nmuch higher, indicating that the dataset presents a good challenge problem for\nfuture research.\n  The dataset is freely available at https://stanford-qa.com","url_abs":"http://arxiv.org/abs/1606.05250v3","url_pdf":"http://arxiv.org/pdf/1606.05250v3.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":"squad-100000-questions-for-machine","repo_url":"https://worksheets.codalab.org/worksheets/0xd53d03a48ef64b329c16b9baf0f99b0c","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/BAJUKA/SQuAD-NLP","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/ElizaLo/Question-Answering-based-on-SQuAD","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/GauthierDmn/question_answering","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/GauthierDmn/question_generation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/HKUST-KnowComp/R-Net","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/Tao-Mind/QDD_Net","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/ZhangShiyue/QGforQA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/chia-hsuan-lee/spoken-squad","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/chiahsuan156/Spoken-SQuAD","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/chrisc36/debias","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/dangwalp/qg","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/jiho-yesnlp/qytl","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/leozhoujf/DataSciComp","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"paddle","reach":{"status":"unanswered"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/lmn-extracts/dcn_plus","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/mivg/sled","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/rsvp-ai/bertserini","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/stonybrooknlp/musique","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/trisongz/question-answering-lightning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/ymcui/Chinese-ELECTRA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"squad-100000-questions-for-machine","repo_url":"https://github.com/yuriak/PPDAI","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"reading-comprehension","task_name":"Reading Comprehension"},{"task_slug":"regression-1","task_name":"regression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1606.05250","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1606.05250"}},"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/chiahsuan156/Spoken-SQuAD","reach":{"status":"ok","spdx":"NOASSERTION"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/chia-hsuan-lee/spoken-squad","reach":{"status":"ok","spdx":"NOASSERTION"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Tao-Mind/QDD_Net","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/GauthierDmn/question_answering","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/BAJUKA/SQuAD-NLP","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/HKUST-KnowComp/R-Net","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://worksheets.codalab.org/worksheets/0xd53d03a48ef64b329c16b9baf0f99b0c","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/GauthierDmn/question_generation","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/rsvp-ai/bertserini","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/leozhoujf/DataSciComp","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ymcui/Chinese-ELECTRA","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/stonybrooknlp/musique","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/trisongz/question-answering-lightning","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/lmn-extracts/dcn_plus","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ZhangShiyue/QGforQA","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/yuriak/PPDAI","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/jiho-yesnlp/qytl","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ElizaLo/Question-Answering-based-on-SQuAD","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/mivg/sled","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/dangwalp/qg","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/chrisc36/debias","reach":{"status":"ok","spdx":"Apache-2.0"}}],"summary":{"ran_draft_wrong":2,"ran_violates":1,"ran_honours":1,"unverified":2},"by_repo_kind":{},"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":6,"samples":[{"code_sha256_prefix":"40b9eb36720710bb","entry":"data_from_json","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"40b9eb36720710bb"}},{"code_sha256_prefix":"f6c275d6a18330a9","entry":"exact_match_score","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_violates","verification_level":1,"contract_check":"VIOLATES","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"f6c275d6a18330a9"}},{"code_sha256_prefix":"2112c433b9c6d343","entry":"f1_score","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"2112c433b9c6d343"}},{"code_sha256_prefix":"c6a80c065d2e4851","entry":"normalize_answer","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"c6a80c065d2e4851"}},{"code_sha256_prefix":"4839200676aaf471","entry":"maybe_download","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"4839200676aaf471"}},{"code_sha256_prefix":"9724d0da37841e48","entry":"reporthook","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"9724d0da37841e48"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}