8 lines
5.5 KiB
JSON
8 lines
5.5 KiB
JSON
{"instance_id": "locomo_conv-43_q155", "cell": "agentic", "provider": "kimi", "model_id": "kimi-k2.6", "routing": "direct", "http_status": 0, "error": "status=0 resp=TimeoutError: The read operation timed out", "retries": 3, "latency_ms": 183398, "prompt_tokens": null, "completion_tokens": null, "raw_text": "", "parsed_verdict": null, "parsed_failure_mode": null, "parsed_rationale": null, "opus_verdict_ref": "correct", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-50_q015", "cell": "agentic", "provider": "kimi", "model_id": "kimi-k2.6", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 24234, "prompt_tokens": 550, "completion_tokens": 614, "raw_text": "{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer uses 'relax' directly and 'recharge' as an acceptable equivalent formulation for the calming and peaceful effect described in the ground-truth context, with no incorrect claims added.\"\n}", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer uses 'relax' directly and 'recharge' as an acceptable equivalent formulation for the calming and peaceful effect described in the ground-truth context, with no incorrect claims added.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-43_q155", "cell": "full-context", "provider": "kimi", "model_id": "kimi-k2.6", "routing": "direct", "http_status": 0, "error": "status=0 resp=TimeoutError: The read operation timed out", "retries": 3, "latency_ms": 183176, "prompt_tokens": null, "completion_tokens": null, "raw_text": "", "parsed_verdict": null, "parsed_failure_mode": null, "parsed_rationale": null, "opus_verdict_ref": "correct", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-50_q015", "cell": "full-context", "provider": "kimi", "model_id": "kimi-k2.6", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 51046, "prompt_tokens": 548, "completion_tokens": 1512, "raw_text": "```json\n{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'to relax' is an acceptable synonymous formulation of the ground truth 'because it relaxes and calms him', capturing the same core reason from the context without omitting a distinct required fact or adding incorrect claims.\"\n}\n```", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'to relax' is an acceptable synonymous formulation of the ground truth 'because it relaxes and calms him', capturing the same core reason from the context without omitting a distinct required fact or adding incorrect claims.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-43_q155", "cell": "oracle-context", "provider": "kimi", "model_id": "kimi-k2.6", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 31347, "prompt_tokens": 456, "completion_tokens": 1188, "raw_text": "```json\n{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'Great' is directly supported by the context where John explicitly states 'It was great!' regarding jogging without pain, and it is an acceptable equivalent formulation to the ground-truth 'huge success' that captures the same positive sentiment.\"\n}\n```", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'Great' is directly supported by the context where John explicitly states 'It was great!' regarding jogging without pain, and it is an acceptable equivalent formulation to the ground-truth 'huge success' that captures the same positive sentiment.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-47_q092", "cell": "oracle-context", "provider": "kimi", "model_id": "kimi-k2.6", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 31985, "prompt_tokens": 460, "completion_tokens": 1505, "raw_text": "{\n \"verdict\": \"incorrect\",\n \"failure_mode\": \"F2\",\n \"rationale\": \"The model correctly states that John created an application but omits the ground-truth detail that it was on smartphones, missing a required fact without adding incorrect claims.\"\n}", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly states that John created an application but omits the ground-truth detail that it was on smartphones, missing a required fact without adding incorrect claims.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "incorrect"}
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{"instance_id": "locomo_conv-50_q015", "cell": "oracle-context", "provider": "kimi", "model_id": "kimi-k2.6", "routing": "direct", "http_status": 200, "error": null, "retries": 1, "latency_ms": 90555, "prompt_tokens": 548, "completion_tokens": 941, "raw_text": "```json\n{\n \"verdict\": \"correct\",\n \"failure_mode\": null,\n \"rationale\": \"The model's answer 'To relax' is an acceptable synonym and equivalent formulation of the ground truth 'because it relaxes and calms him', accurately capturing the essential reason without omitting any distinct required fact.\"\n}\n```", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'To relax' is an acceptable synonym and equivalent formulation of the ground truth 'because it relaxes and calms him', accurately capturing the essential reason without omitting any distinct required fact.", "opus_verdict_ref": "correct", "gpt_verdict_ref": "incorrect"}
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