Datasets:

gcc-insurance-intelligence-lab-dev
/

gcc-insurance-llm-evals

eval_id stringlengths 11 11	task_type stringclasses 5 values	prompt stringclasses 5 values	expected_output stringlengths 28 31	model_output stringlengths 25 28	accuracy_score float64 0.49 1	latency_ms float64 0 3.88k	token_count int32 50 499	model_name stringclasses 3 values	evaluation_date stringdate 2025-12-12 00:00:00 2026-03-11 00:00:00
EVAL-000001	claim_classification	Classify this insurance claim: {}	Expected response for task 0	Model response for task 0	0.786	1,362	322	fraud-detector-v1	2026-02-02
EVAL-000002	sentiment_analysis	Extract key information from this policy document.	Expected response for task 1	Model response for task 1	0.974	576	130	claims-gpt-v1	2026-02-18
EVAL-000003	policy_qa	Classify this insurance claim: {}	Expected response for task 2	Model response for task 2	0.839	352	195	policy-qa-v1	2026-01-05
EVAL-000004	document_extraction	Analyze customer sentiment in this feedback.	Expected response for task 3	Model response for task 3	0.789	144	71	claims-gpt-v1	2025-12-18
EVAL-000005	policy_qa	Analyze customer sentiment in this feedback.	Expected response for task 4	Model response for task 4	0.955	863	476	policy-qa-v1	2025-12-17
EVAL-000006	document_extraction	Is this claim potentially fraudulent? {}	Expected response for task 5	Model response for task 5	0.822	421	183	claims-gpt-v1	2026-02-18
EVAL-000007	sentiment_analysis	Analyze customer sentiment in this feedback.	Expected response for task 6	Model response for task 6	0.91	345	245	fraud-detector-v1	2026-02-13
EVAL-000008	document_extraction	Is this claim potentially fraudulent? {}	Expected response for task 7	Model response for task 7	0.906	122	311	fraud-detector-v1	2026-02-20
EVAL-000009	claim_classification	Analyze customer sentiment in this feedback.	Expected response for task 8	Model response for task 8	0.824	1,435	117	fraud-detector-v1	2026-02-01
EVAL-000010	document_extraction	Analyze customer sentiment in this feedback.	Expected response for task 9	Model response for task 9	1	501	187	claims-gpt-v1	2026-02-08
EVAL-000011	policy_qa	Classify this insurance claim: {}	Expected response for task 10	Model response for task 10	0.824	196	485	claims-gpt-v1	2026-01-30
EVAL-000012	claim_classification	Classify this insurance claim: {}	Expected response for task 11	Model response for task 11	0.962	39	372	policy-qa-v1	2026-01-26
EVAL-000013	claim_classification	Classify this insurance claim: {}	Expected response for task 12	Model response for task 12	0.899	85	109	claims-gpt-v1	2026-02-26
EVAL-000014	policy_qa	What is the coverage for {}?	Expected response for task 13	Model response for task 13	0.993	137	418	claims-gpt-v1	2026-01-09
EVAL-000015	document_extraction	Classify this insurance claim: {}	Expected response for task 14	Model response for task 14	0.903	2,588	445	fraud-detector-v1	2026-01-30
EVAL-000016	policy_qa	Classify this insurance claim: {}	Expected response for task 15	Model response for task 15	0.907	490	269	policy-qa-v1	2025-12-12
EVAL-000017	policy_qa	Is this claim potentially fraudulent? {}	Expected response for task 16	Model response for task 16	0.685	488	472	policy-qa-v1	2026-01-31
EVAL-000018	policy_qa	Analyze customer sentiment in this feedback.	Expected response for task 17	Model response for task 17	0.817	51	234	policy-qa-v1	2026-01-10
EVAL-000019	claim_classification	What is the coverage for {}?	Expected response for task 18	Model response for task 18	0.967	1,009	273	policy-qa-v1	2026-01-29
EVAL-000020	claim_classification	Analyze customer sentiment in this feedback.	Expected response for task 19	Model response for task 19	0.79	236	351	claims-gpt-v1	2025-12-15
EVAL-000021	sentiment_analysis	What is the coverage for {}?	Expected response for task 20	Model response for task 20	0.678	277	439	claims-gpt-v1	2026-02-27
EVAL-000022	claim_classification	Classify this insurance claim: {}	Expected response for task 21	Model response for task 21	0.963	168	369	fraud-detector-v1	2026-01-02
EVAL-000023	policy_qa	Extract key information from this policy document.	Expected response for task 22	Model response for task 22	0.857	310	143	claims-gpt-v1	2026-02-15
EVAL-000024	document_extraction	Extract key information from this policy document.	Expected response for task 23	Model response for task 23	0.828	292	174	claims-gpt-v1	2025-12-29
EVAL-000025	document_extraction	What is the coverage for {}?	Expected response for task 24	Model response for task 24	0.988	39	238	fraud-detector-v1	2026-01-01
EVAL-000026	sentiment_analysis	Is this claim potentially fraudulent? {}	Expected response for task 25	Model response for task 25	0.799	811	224	claims-gpt-v1	2026-01-16
EVAL-000027	claim_classification	Extract key information from this policy document.	Expected response for task 26	Model response for task 26	0.87	84	381	fraud-detector-v1	2026-02-11
EVAL-000028	claim_classification	Extract key information from this policy document.	Expected response for task 27	Model response for task 27	0.653	863	418	claims-gpt-v1	2026-02-22
EVAL-000029	sentiment_analysis	Classify this insurance claim: {}	Expected response for task 28	Model response for task 28	0.734	397	462	fraud-detector-v1	2026-02-26
EVAL-000030	fraud_detection	Extract key information from this policy document.	Expected response for task 29	Model response for task 29	0.723	344	104	policy-qa-v1	2026-02-15
EVAL-000031	sentiment_analysis	Analyze customer sentiment in this feedback.	Expected response for task 30	Model response for task 30	1	616	375	claims-gpt-v1	2026-03-08
EVAL-000032	fraud_detection	Analyze customer sentiment in this feedback.	Expected response for task 31	Model response for task 31	0.895	386	367	policy-qa-v1	2026-02-01
EVAL-000033	claim_classification	Classify this insurance claim: {}	Expected response for task 32	Model response for task 32	0.774	206	436	claims-gpt-v1	2025-12-21
EVAL-000034	claim_classification	Extract key information from this policy document.	Expected response for task 33	Model response for task 33	0.841	1,068	54	policy-qa-v1	2026-02-19
EVAL-000035	sentiment_analysis	Is this claim potentially fraudulent? {}	Expected response for task 34	Model response for task 34	0.916	106	411	claims-gpt-v1	2026-01-09
EVAL-000036	document_extraction	What is the coverage for {}?	Expected response for task 35	Model response for task 35	0.831	205	305	policy-qa-v1	2026-02-20
EVAL-000037	claim_classification	Analyze customer sentiment in this feedback.	Expected response for task 36	Model response for task 36	1	683	85	policy-qa-v1	2025-12-19
EVAL-000038	fraud_detection	Extract key information from this policy document.	Expected response for task 37	Model response for task 37	0.888	110	441	policy-qa-v1	2026-02-18
EVAL-000039	claim_classification	What is the coverage for {}?	Expected response for task 38	Model response for task 38	0.747	108	116	fraud-detector-v1	2025-12-31
EVAL-000040	claim_classification	Is this claim potentially fraudulent? {}	Expected response for task 39	Model response for task 39	0.888	507	317	fraud-detector-v1	2025-12-25
EVAL-000041	claim_classification	Classify this insurance claim: {}	Expected response for task 40	Model response for task 40	0.846	82	169	claims-gpt-v1	2025-12-29
EVAL-000042	sentiment_analysis	Analyze customer sentiment in this feedback.	Expected response for task 41	Model response for task 41	0.992	105	205	policy-qa-v1	2025-12-18
EVAL-000043	claim_classification	What is the coverage for {}?	Expected response for task 42	Model response for task 42	0.784	1,265	133	fraud-detector-v1	2025-12-14
EVAL-000044	policy_qa	Classify this insurance claim: {}	Expected response for task 43	Model response for task 43	0.932	665	64	claims-gpt-v1	2026-01-23
EVAL-000045	claim_classification	Analyze customer sentiment in this feedback.	Expected response for task 44	Model response for task 44	0.727	452	183	fraud-detector-v1	2026-02-12
EVAL-000046	policy_qa	What is the coverage for {}?	Expected response for task 45	Model response for task 45	1	452	373	fraud-detector-v1	2026-02-15
EVAL-000047	policy_qa	Extract key information from this policy document.	Expected response for task 46	Model response for task 46	0.845	376	297	fraud-detector-v1	2026-01-09
EVAL-000048	fraud_detection	Extract key information from this policy document.	Expected response for task 47	Model response for task 47	1	306	79	fraud-detector-v1	2026-03-04
EVAL-000049	claim_classification	Is this claim potentially fraudulent? {}	Expected response for task 48	Model response for task 48	0.812	101	436	policy-qa-v1	2025-12-29
EVAL-000050	sentiment_analysis	Extract key information from this policy document.	Expected response for task 49	Model response for task 49	1	127	384	fraud-detector-v1	2025-12-17
EVAL-000051	policy_qa	What is the coverage for {}?	Expected response for task 50	Model response for task 50	0.869	410	458	fraud-detector-v1	2025-12-18
EVAL-000052	document_extraction	What is the coverage for {}?	Expected response for task 51	Model response for task 51	0.836	138	453	fraud-detector-v1	2026-01-16
EVAL-000053	sentiment_analysis	Is this claim potentially fraudulent? {}	Expected response for task 52	Model response for task 52	0.762	404	100	policy-qa-v1	2026-01-07
EVAL-000054	policy_qa	Classify this insurance claim: {}	Expected response for task 53	Model response for task 53	0.934	695	395	policy-qa-v1	2025-12-23
EVAL-000055	document_extraction	Analyze customer sentiment in this feedback.	Expected response for task 54	Model response for task 54	0.942	144	178	claims-gpt-v1	2026-01-20
EVAL-000056	sentiment_analysis	Is this claim potentially fraudulent? {}	Expected response for task 55	Model response for task 55	0.818	93	158	fraud-detector-v1	2026-02-16
EVAL-000057	document_extraction	Analyze customer sentiment in this feedback.	Expected response for task 56	Model response for task 56	0.737	87	486	policy-qa-v1	2026-03-06
EVAL-000058	fraud_detection	What is the coverage for {}?	Expected response for task 57	Model response for task 57	0.936	295	120	claims-gpt-v1	2025-12-21
EVAL-000059	claim_classification	Classify this insurance claim: {}	Expected response for task 58	Model response for task 58	0.829	371	479	claims-gpt-v1	2026-01-26
EVAL-000060	policy_qa	What is the coverage for {}?	Expected response for task 59	Model response for task 59	0.914	73	180	claims-gpt-v1	2026-01-09
EVAL-000061	fraud_detection	Classify this insurance claim: {}	Expected response for task 60	Model response for task 60	0.913	332	145	policy-qa-v1	2026-01-19
EVAL-000062	claim_classification	What is the coverage for {}?	Expected response for task 61	Model response for task 61	0.812	571	265	claims-gpt-v1	2025-12-27
EVAL-000063	policy_qa	Analyze customer sentiment in this feedback.	Expected response for task 62	Model response for task 62	0.702	302	305	fraud-detector-v1	2025-12-16
EVAL-000064	sentiment_analysis	Is this claim potentially fraudulent? {}	Expected response for task 63	Model response for task 63	0.781	636	294	claims-gpt-v1	2025-12-23
EVAL-000065	policy_qa	What is the coverage for {}?	Expected response for task 64	Model response for task 64	0.803	12	261	claims-gpt-v1	2026-01-20
EVAL-000066	sentiment_analysis	Analyze customer sentiment in this feedback.	Expected response for task 65	Model response for task 65	1	447	239	claims-gpt-v1	2026-02-16
EVAL-000067	document_extraction	Analyze customer sentiment in this feedback.	Expected response for task 66	Model response for task 66	0.957	319	197	policy-qa-v1	2026-02-25
EVAL-000068	document_extraction	Analyze customer sentiment in this feedback.	Expected response for task 67	Model response for task 67	0.914	166	101	claims-gpt-v1	2026-01-06
EVAL-000069	claim_classification	Is this claim potentially fraudulent? {}	Expected response for task 68	Model response for task 68	0.81	26	436	fraud-detector-v1	2026-01-11
EVAL-000070	sentiment_analysis	Analyze customer sentiment in this feedback.	Expected response for task 69	Model response for task 69	0.769	56	291	claims-gpt-v1	2026-01-08
EVAL-000071	sentiment_analysis	Is this claim potentially fraudulent? {}	Expected response for task 70	Model response for task 70	0.932	355	160	claims-gpt-v1	2026-02-28
EVAL-000072	policy_qa	Classify this insurance claim: {}	Expected response for task 71	Model response for task 71	0.803	7	206	claims-gpt-v1	2026-02-01
EVAL-000073	document_extraction	Extract key information from this policy document.	Expected response for task 72	Model response for task 72	0.963	194	247	claims-gpt-v1	2026-02-24
EVAL-000074	document_extraction	Classify this insurance claim: {}	Expected response for task 73	Model response for task 73	0.772	43	211	claims-gpt-v1	2026-03-07
EVAL-000075	sentiment_analysis	What is the coverage for {}?	Expected response for task 74	Model response for task 74	1	1,127	157	policy-qa-v1	2026-02-09
EVAL-000076	fraud_detection	Is this claim potentially fraudulent? {}	Expected response for task 75	Model response for task 75	0.934	380	405	policy-qa-v1	2026-02-21
EVAL-000077	document_extraction	Analyze customer sentiment in this feedback.	Expected response for task 76	Model response for task 76	0.864	22	336	fraud-detector-v1	2026-03-10
EVAL-000078	document_extraction	Classify this insurance claim: {}	Expected response for task 77	Model response for task 77	0.763	817	488	policy-qa-v1	2026-02-02
EVAL-000079	fraud_detection	Is this claim potentially fraudulent? {}	Expected response for task 78	Model response for task 78	0.753	450	368	policy-qa-v1	2026-02-06
EVAL-000080	fraud_detection	What is the coverage for {}?	Expected response for task 79	Model response for task 79	0.762	195	311	fraud-detector-v1	2025-12-25
EVAL-000081	fraud_detection	Extract key information from this policy document.	Expected response for task 80	Model response for task 80	0.926	237	149	policy-qa-v1	2026-02-15
EVAL-000082	sentiment_analysis	Analyze customer sentiment in this feedback.	Expected response for task 81	Model response for task 81	0.908	443	204	fraud-detector-v1	2026-01-22
EVAL-000083	fraud_detection	Classify this insurance claim: {}	Expected response for task 82	Model response for task 82	0.803	337	201	fraud-detector-v1	2026-01-08
EVAL-000084	sentiment_analysis	Analyze customer sentiment in this feedback.	Expected response for task 83	Model response for task 83	0.857	31	323	policy-qa-v1	2025-12-12
EVAL-000085	fraud_detection	Classify this insurance claim: {}	Expected response for task 84	Model response for task 84	0.957	1,076	479	claims-gpt-v1	2025-12-22
EVAL-000086	sentiment_analysis	Is this claim potentially fraudulent? {}	Expected response for task 85	Model response for task 85	0.693	754	129	fraud-detector-v1	2026-01-26
EVAL-000087	fraud_detection	Is this claim potentially fraudulent? {}	Expected response for task 86	Model response for task 86	0.966	123	432	policy-qa-v1	2026-03-09
EVAL-000088	sentiment_analysis	What is the coverage for {}?	Expected response for task 87	Model response for task 87	0.892	510	330	policy-qa-v1	2026-02-25
EVAL-000089	claim_classification	Classify this insurance claim: {}	Expected response for task 88	Model response for task 88	0.974	89	457	policy-qa-v1	2025-12-13
EVAL-000090	policy_qa	Classify this insurance claim: {}	Expected response for task 89	Model response for task 89	0.805	431	321	claims-gpt-v1	2026-01-29
EVAL-000091	document_extraction	Extract key information from this policy document.	Expected response for task 90	Model response for task 90	0.85	315	257	claims-gpt-v1	2026-01-09
EVAL-000092	sentiment_analysis	Extract key information from this policy document.	Expected response for task 91	Model response for task 91	0.917	74	304	policy-qa-v1	2025-12-16
EVAL-000093	sentiment_analysis	Is this claim potentially fraudulent? {}	Expected response for task 92	Model response for task 92	0.92	447	339	claims-gpt-v1	2025-12-27
EVAL-000094	policy_qa	Is this claim potentially fraudulent? {}	Expected response for task 93	Model response for task 93	0.969	1,243	191	fraud-detector-v1	2025-12-25
EVAL-000095	fraud_detection	Extract key information from this policy document.	Expected response for task 94	Model response for task 94	0.862	831	315	fraud-detector-v1	2026-03-08
EVAL-000096	fraud_detection	Analyze customer sentiment in this feedback.	Expected response for task 95	Model response for task 95	0.853	118	279	claims-gpt-v1	2026-01-23
EVAL-000097	document_extraction	What is the coverage for {}?	Expected response for task 96	Model response for task 96	0.914	125	234	policy-qa-v1	2025-12-18
EVAL-000098	fraud_detection	Extract key information from this policy document.	Expected response for task 97	Model response for task 97	0.907	306	274	fraud-detector-v1	2025-12-22
EVAL-000099	fraud_detection	Extract key information from this policy document.	Expected response for task 98	Model response for task 98	0.856	604	120	fraud-detector-v1	2026-01-28
EVAL-000100	document_extraction	Is this claim potentially fraudulent? {}	Expected response for task 99	Model response for task 99	0.848	1,350	128	policy-qa-v1	2026-03-06

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gcc-insurance-intelligence-lab-dev/gcc-insurance-claims-gpt

Text Generation • Updated Mar 12 • 4