{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WQ5TXLTW2ETB4HOKLTWZYQCQVT","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b4a785a4c2a1bc788db3a39f4dd9d3e2f19ae24457404e6421738350acfc4b2d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-16T18:30:22Z","title_canon_sha256":"40d4108f65aed4835ffb428df8af663e653d89f2152d634cc8e8a843a65b27f4"},"schema_version":"1.0","source":{"id":"2408.08964","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.08964","created_at":"2026-07-05T09:46:50Z"},{"alias_kind":"arxiv_version","alias_value":"2408.08964v3","created_at":"2026-07-05T09:46:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.08964","created_at":"2026-07-05T09:46:50Z"},{"alias_kind":"pith_short_12","alias_value":"WQ5TXLTW2ETB","created_at":"2026-07-05T09:46:50Z"},{"alias_kind":"pith_short_16","alias_value":"WQ5TXLTW2ETB4HOK","created_at":"2026-07-05T09:46:50Z"},{"alias_kind":"pith_short_8","alias_value":"WQ5TXLTW","created_at":"2026-07-05T09:46:50Z"}],"graph_snapshots":[{"event_id":"sha256:79b74f71db1dc8ac7e80cb7e2f0a10c22ceac5a27f27371d9371c8f8e59fba96","target":"graph","created_at":"2026-07-05T09:46:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2408.08964/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The widespread availability of code-mixed data can provide valuable insights into low-resource languages like Bengali, which have limited datasets. Sentiment analysis has been a fundamental text classification task across several languages for code-mixed data. However, there has yet to be a large-scale and diverse sentiment analysis dataset on code-mixed Bengali. We address this limitation by introducing BnSentMix, a sentiment analysis dataset on code-mixed Bengali consisting of 20,000 samples with 4 sentiment labels from Facebook, YouTube, and e-commerce sites. We ensure diversity in data sou","authors_text":"Abu Raihan Mostofa Kamal, Md Azam Hossain, Md Farhan Ishmam, Md Shahnewaz Siddique, Navid Hasin Alvee, Sadia Alam","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-16T18:30:22Z","title":"BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.08964","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:048183e9d9b07908f9d3efe247c29de38190a1b89f88faa5e79b40456484efa2","target":"record","created_at":"2026-07-05T09:46:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b4a785a4c2a1bc788db3a39f4dd9d3e2f19ae24457404e6421738350acfc4b2d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-16T18:30:22Z","title_canon_sha256":"40d4108f65aed4835ffb428df8af663e653d89f2152d634cc8e8a843a65b27f4"},"schema_version":"1.0","source":{"id":"2408.08964","kind":"arxiv","version":3}},"canonical_sha256":"b43b3bae76d1261e1dca5ced9c4050acc159d13e17fede8612afae58d35022b3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b43b3bae76d1261e1dca5ced9c4050acc159d13e17fede8612afae58d35022b3","first_computed_at":"2026-07-05T09:46:50.015443Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:46:50.015443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8g7bGpGCmHIatcplyI4Z6J3LP31gRUGcXM1YeCuHq5UUD6IC7l59LrgWhok9zgPEYKXoY17fWgYUYW3Du/m1Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:46:50.015993Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.08964","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:048183e9d9b07908f9d3efe247c29de38190a1b89f88faa5e79b40456484efa2","sha256:79b74f71db1dc8ac7e80cb7e2f0a10c22ceac5a27f27371d9371c8f8e59fba96"],"state_sha256":"05e931d2e7506739999ca35e81e743f18067e5713d28c7dc38b6a47a60d87692"}