{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:ZMYEBIIWEYC36C4GOXB6WFPQ7H","short_pith_number":"pith:ZMYEBIIW","schema_version":"1.0","canonical_sha256":"cb3040a1162605bf0b8675c3eb15f0f9fc8a968a1c6a5acafe20154468d461eb","source":{"kind":"arxiv","id":"2211.16496","version":1},"attestation_state":"computed","paper":{"title":"TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Anirudh Srinivasan, Eunsol Choi","submitted_at":"2022-11-29T18:58:15Z","abstract_excerpt":"We study politeness phenomena in nine typologically diverse languages. Politeness is an important facet of communication and is sometimes argued to be cultural-specific, yet existing computational linguistic study is limited to English. We create TyDiP, a dataset containing three-way politeness annotations for 500 examples in each language, totaling 4.5K examples. We evaluate how well multilingual models can identify politeness levels -- they show a fairly robust zero-shot transfer ability, yet fall short of estimated human accuracy significantly. We further study mapping the English politenes"},"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":"2211.16496","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-11-29T18:58:15Z","cross_cats_sorted":[],"title_canon_sha256":"eabb404cb5488386536c76352019d40f96e7e626cfdcd63c59cbb3c601d68d2d","abstract_canon_sha256":"8c5f1eac66449490564e8aaf03f9db95504c86240efffcc7b5ded985068a80a4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:20:27.522750Z","signature_b64":"CnFEtWCtc6bhJoZsEze6MaUkVGqPJco3NfUTUoTOBltKQDnaq10H+zYMWgpZubdveo/BczOeBqsDvAJQtX6EBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cb3040a1162605bf0b8675c3eb15f0f9fc8a968a1c6a5acafe20154468d461eb","last_reissued_at":"2026-07-05T05:20:27.522338Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:20:27.522338Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Anirudh Srinivasan, Eunsol Choi","submitted_at":"2022-11-29T18:58:15Z","abstract_excerpt":"We study politeness phenomena in nine typologically diverse languages. Politeness is an important facet of communication and is sometimes argued to be cultural-specific, yet existing computational linguistic study is limited to English. We create TyDiP, a dataset containing three-way politeness annotations for 500 examples in each language, totaling 4.5K examples. We evaluate how well multilingual models can identify politeness levels -- they show a fairly robust zero-shot transfer ability, yet fall short of estimated human accuracy significantly. We further study mapping the English politenes"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.16496","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/2211.16496/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":"2211.16496","created_at":"2026-07-05T05:20:27.522397+00:00"},{"alias_kind":"arxiv_version","alias_value":"2211.16496v1","created_at":"2026-07-05T05:20:27.522397+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.16496","created_at":"2026-07-05T05:20:27.522397+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZMYEBIIWEYC3","created_at":"2026-07-05T05:20:27.522397+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZMYEBIIWEYC36C4G","created_at":"2026-07-05T05:20:27.522397+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZMYEBIIW","created_at":"2026-07-05T05:20:27.522397+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2507.00216","citing_title":"Towards Style Alignment in Cross-Cultural Translation","ref_index":53,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZMYEBIIWEYC36C4GOXB6WFPQ7H","json":"https://pith.science/pith/ZMYEBIIWEYC36C4GOXB6WFPQ7H.json","graph_json":"https://pith.science/api/pith-number/ZMYEBIIWEYC36C4GOXB6WFPQ7H/graph.json","events_json":"https://pith.science/api/pith-number/ZMYEBIIWEYC36C4GOXB6WFPQ7H/events.json","paper":"https://pith.science/paper/ZMYEBIIW"},"agent_actions":{"view_html":"https://pith.science/pith/ZMYEBIIWEYC36C4GOXB6WFPQ7H","download_json":"https://pith.science/pith/ZMYEBIIWEYC36C4GOXB6WFPQ7H.json","view_paper":"https://pith.science/paper/ZMYEBIIW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2211.16496&json=true","fetch_graph":"https://pith.science/api/pith-number/ZMYEBIIWEYC36C4GOXB6WFPQ7H/graph.json","fetch_events":"https://pith.science/api/pith-number/ZMYEBIIWEYC36C4GOXB6WFPQ7H/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZMYEBIIWEYC36C4GOXB6WFPQ7H/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZMYEBIIWEYC36C4GOXB6WFPQ7H/action/storage_attestation","attest_author":"https://pith.science/pith/ZMYEBIIWEYC36C4GOXB6WFPQ7H/action/author_attestation","sign_citation":"https://pith.science/pith/ZMYEBIIWEYC36C4GOXB6WFPQ7H/action/citation_signature","submit_replication":"https://pith.science/pith/ZMYEBIIWEYC36C4GOXB6WFPQ7H/action/replication_record"}},"created_at":"2026-07-05T05:20:27.522397+00:00","updated_at":"2026-07-05T05:20:27.522397+00:00"}