{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:EWW6GXSVNOP2XBIX4NOIH27U2C","short_pith_number":"pith:EWW6GXSV","schema_version":"1.0","canonical_sha256":"25ade35e556b9fab8517e35c83ebf4d08f14f3d4480f0fb955db2c4fce0f4eac","source":{"kind":"arxiv","id":"2004.11339","version":1},"attestation_state":"computed","paper":{"title":"Rapidly Bootstrapping a Question Answering Dataset for COVID-19","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.IR"],"primary_cat":"cs.CL","authors_text":"Edwin Zhang, Jimmy Lin, Kyunghyun Cho, Nikhil Gupta, Phuong Cam, Raphael Tang, Rodrigo Nogueira","submitted_at":"2020-04-23T17:35:11Z","abstract_excerpt":"We present CovidQA, the beginnings of a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle's COVID-19 Open Research Dataset Challenge. To our knowledge, this is the first publicly available resource of its type, and intended as a stopgap measure for guiding research until more substantial evaluation resources become available. While this dataset, comprising 124 question-article pairs as of the present version 0.1 release, does not have sufficient examples for supervised machine learning, we believe that it can be helpful for evaluat"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2004.11339","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-04-23T17:35:11Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"d18d7cc753fcbbc1791d1d4592f4d46fe0f66031dd3448954af1463c3f461964","abstract_canon_sha256":"78d1431464470e4218ee84ad5de59610a993cbac55509473555f15f17c6cb506"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:57:47.241322Z","signature_b64":"I1Thb65TImwtJGo/Yq+L8km8uRmdqnPDn49XFW+jNkRznNVJt8t+mpToMgPptvfGY9cGSo5pECG85xbXRUzgBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"25ade35e556b9fab8517e35c83ebf4d08f14f3d4480f0fb955db2c4fce0f4eac","last_reissued_at":"2026-07-05T00:57:47.240918Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:57:47.240918Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Rapidly Bootstrapping a Question Answering Dataset for COVID-19","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.IR"],"primary_cat":"cs.CL","authors_text":"Edwin Zhang, Jimmy Lin, Kyunghyun Cho, Nikhil Gupta, Phuong Cam, Raphael Tang, Rodrigo Nogueira","submitted_at":"2020-04-23T17:35:11Z","abstract_excerpt":"We present CovidQA, the beginnings of a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle's COVID-19 Open Research Dataset Challenge. To our knowledge, this is the first publicly available resource of its type, and intended as a stopgap measure for guiding research until more substantial evaluation resources become available. While this dataset, comprising 124 question-article pairs as of the present version 0.1 release, does not have sufficient examples for supervised machine learning, we believe that it can be helpful for evaluat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.11339","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2004.11339/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2004.11339","created_at":"2026-07-05T00:57:47.240973+00:00"},{"alias_kind":"arxiv_version","alias_value":"2004.11339v1","created_at":"2026-07-05T00:57:47.240973+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.11339","created_at":"2026-07-05T00:57:47.240973+00:00"},{"alias_kind":"pith_short_12","alias_value":"EWW6GXSVNOP2","created_at":"2026-07-05T00:57:47.240973+00:00"},{"alias_kind":"pith_short_16","alias_value":"EWW6GXSVNOP2XBIX","created_at":"2026-07-05T00:57:47.240973+00:00"},{"alias_kind":"pith_short_8","alias_value":"EWW6GXSV","created_at":"2026-07-05T00:57:47.240973+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2504.21017","citing_title":"ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese","ref_index":21,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/EWW6GXSVNOP2XBIX4NOIH27U2C","json":"https://pith.science/pith/EWW6GXSVNOP2XBIX4NOIH27U2C.json","graph_json":"https://pith.science/api/pith-number/EWW6GXSVNOP2XBIX4NOIH27U2C/graph.json","events_json":"https://pith.science/api/pith-number/EWW6GXSVNOP2XBIX4NOIH27U2C/events.json","paper":"https://pith.science/paper/EWW6GXSV"},"agent_actions":{"view_html":"https://pith.science/pith/EWW6GXSVNOP2XBIX4NOIH27U2C","download_json":"https://pith.science/pith/EWW6GXSVNOP2XBIX4NOIH27U2C.json","view_paper":"https://pith.science/paper/EWW6GXSV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2004.11339&json=true","fetch_graph":"https://pith.science/api/pith-number/EWW6GXSVNOP2XBIX4NOIH27U2C/graph.json","fetch_events":"https://pith.science/api/pith-number/EWW6GXSVNOP2XBIX4NOIH27U2C/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EWW6GXSVNOP2XBIX4NOIH27U2C/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EWW6GXSVNOP2XBIX4NOIH27U2C/action/storage_attestation","attest_author":"https://pith.science/pith/EWW6GXSVNOP2XBIX4NOIH27U2C/action/author_attestation","sign_citation":"https://pith.science/pith/EWW6GXSVNOP2XBIX4NOIH27U2C/action/citation_signature","submit_replication":"https://pith.science/pith/EWW6GXSVNOP2XBIX4NOIH27U2C/action/replication_record"}},"created_at":"2026-07-05T00:57:47.240973+00:00","updated_at":"2026-07-05T00:57:47.240973+00:00"}