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data/vals_ai/Qwen/Qwen2.5-72B-Instruct-Turbo/4f39eac0-6450-417e-8951-a4572a97e625.json
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| 1 |
+
{
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| 2 |
+
"schema_version": "0.2.2",
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| 3 |
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"evaluation_id": "vals-ai/legal_bench/Qwen_Qwen2.5-72B-Instruct-Turbo/1782816293.6170497",
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| 4 |
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"retrieved_timestamp": "1782816293.6170497",
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| 5 |
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"source_metadata": {
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| 6 |
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"source_name": "Vals.ai Leaderboard - LegalBench",
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| 7 |
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"source_type": "documentation",
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| 8 |
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"source_organization_name": "Vals.ai",
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| 9 |
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"source_organization_url": "https://www.vals.ai",
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| 10 |
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"evaluator_relationship": "third_party",
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| 11 |
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"additional_details": {
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| 12 |
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"benchmark_slug": "legal_bench",
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| 13 |
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"benchmark_name": "LegalBench",
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| 14 |
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"benchmark_updated": "2026-06-17",
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| 15 |
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"dataset_type": "public",
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| 16 |
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"industry": "legal",
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| 17 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench",
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| 18 |
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"extraction_method": "static_astro_benchmark_view_props"
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| 19 |
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}
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| 20 |
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| 21 |
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"eval_library": {
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| 22 |
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"name": "Vals.ai",
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| 23 |
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"version": "unknown"
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| 24 |
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},
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| 25 |
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"model_info": {
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| 26 |
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"name": "Qwen2.5-72B-Instruct-Turbo",
|
| 27 |
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"id": "Qwen/Qwen2.5-72B-Instruct-Turbo",
|
| 28 |
+
"developer": "Qwen",
|
| 29 |
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"additional_details": {
|
| 30 |
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"vals_model_id": "together/Qwen/Qwen2.5-72B-Instruct-Turbo",
|
| 31 |
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"vals_provider": "Together AI"
|
| 32 |
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}
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| 33 |
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},
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| 34 |
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"evaluation_results": [
|
| 35 |
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{
|
| 36 |
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"evaluation_result_id": "legal_bench:conclusion_tasks:together/Qwen/Qwen2.5-72B-Instruct-Turbo:score",
|
| 37 |
+
"evaluation_name": "vals_ai.legal_bench.conclusion_tasks",
|
| 38 |
+
"source_data": {
|
| 39 |
+
"dataset_name": "LegalBench - Conclusion Tasks",
|
| 40 |
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"source_type": "url",
|
| 41 |
+
"url": [
|
| 42 |
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"https://www.vals.ai/benchmarks/legal_bench"
|
| 43 |
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],
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| 44 |
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"additional_details": {
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| 45 |
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"benchmark_slug": "legal_bench",
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| 46 |
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"task_key": "conclusion_tasks",
|
| 47 |
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"dataset_type": "public",
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| 48 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
|
| 49 |
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}
|
| 50 |
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},
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| 51 |
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"metric_config": {
|
| 52 |
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"evaluation_description": "Accuracy reported by Vals.ai for LegalBench (Conclusion Tasks).",
|
| 53 |
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"metric_id": "vals_ai.legal_bench.conclusion_tasks.accuracy",
|
| 54 |
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"metric_name": "Accuracy",
|
| 55 |
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"metric_kind": "accuracy",
|
| 56 |
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"metric_unit": "percent",
|
| 57 |
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"lower_is_better": false,
|
| 58 |
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"score_type": "continuous",
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| 59 |
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| 60 |
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"max_score": 100.0,
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| 61 |
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"additional_details": {
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| 62 |
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|
| 64 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench"
|
| 65 |
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}
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| 66 |
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| 67 |
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"score_details": {
|
| 68 |
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"score": 83.012,
|
| 69 |
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"details": {
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| 70 |
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data/vals_ai/Qwen/Qwen2.5-72B-Instruct-Turbo/dcc8b5f9-8f9f-4f55-9838-5176fbd9aa0b.json
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@@ -0,0 +1,491 @@
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "vals-ai/medqa/Qwen_Qwen2.5-72B-Instruct-Turbo/1782816293.6170497",
|
| 4 |
+
"retrieved_timestamp": "1782816293.6170497",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "Vals.ai Leaderboard - MedQA",
|
| 7 |
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"source_type": "documentation",
|
| 8 |
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|
| 9 |
+
"source_organization_url": "https://www.vals.ai",
|
| 10 |
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|
| 11 |
+
"additional_details": {
|
| 12 |
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"benchmark_slug": "medqa",
|
| 13 |
+
"benchmark_name": "MedQA",
|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
+
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|
| 19 |
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}
|
| 20 |
+
},
|
| 21 |
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|
| 22 |
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|
| 23 |
+
"version": "unknown"
|
| 24 |
+
},
|
| 25 |
+
"model_info": {
|
| 26 |
+
"name": "Qwen2.5-72B-Instruct-Turbo",
|
| 27 |
+
"id": "Qwen/Qwen2.5-72B-Instruct-Turbo",
|
| 28 |
+
"developer": "Qwen",
|
| 29 |
+
"additional_details": {
|
| 30 |
+
"vals_model_id": "together/Qwen/Qwen2.5-72B-Instruct-Turbo",
|
| 31 |
+
"vals_provider": "Together AI"
|
| 32 |
+
}
|
| 33 |
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|
| 34 |
+
"evaluation_results": [
|
| 35 |
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{
|
| 36 |
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"evaluation_result_id": "medqa:asian:together/Qwen/Qwen2.5-72B-Instruct-Turbo:score",
|
| 37 |
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"evaluation_name": "vals_ai.medqa.asian",
|
| 38 |
+
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|
| 39 |
+
"dataset_name": "MedQA - Asian",
|
| 40 |
+
"source_type": "url",
|
| 41 |
+
"url": [
|
| 42 |
+
"https://www.vals.ai/benchmarks/medqa"
|
| 43 |
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|
| 44 |
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|
| 45 |
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"benchmark_slug": "medqa",
|
| 46 |
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"task_key": "asian",
|
| 47 |
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"dataset_type": "public",
|
| 48 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/medqa"
|
| 49 |
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}
|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
+
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|
| 75 |
+
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|
| 76 |
+
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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"temperature": "0.7",
|
| 82 |
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|
| 83 |
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|
| 84 |
+
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|
| 85 |
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|
| 86 |
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|
| 87 |
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"value": 1.906,
|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
+
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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"evaluation_result_id": "medqa:black:together/Qwen/Qwen2.5-72B-Instruct-Turbo:score",
|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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"url": [
|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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"benchmark_slug": "medqa",
|
| 111 |
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|
| 112 |
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|
| 113 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/medqa"
|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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"evaluation_description": "Accuracy reported by Vals.ai for MedQA (Black).",
|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/medqa"
|
| 130 |
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}
|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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"details": {
|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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| 154 |
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| 155 |
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| 156 |
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| 157 |
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| 158 |
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| 159 |
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| 161 |
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|
| 162 |
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| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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"dataset_name": "MedQA - Hispanic",
|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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| 175 |
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| 176 |
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|
| 177 |
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|
| 178 |
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| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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| 190 |
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|
| 191 |
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|
| 192 |
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| 193 |
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|
| 194 |
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data/vals_ai/Qwen/Qwen2.5-7B-Instruct-Turbo/864683b8-e6a5-4802-a8b8-9bb23386fbc2.json
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@@ -0,0 +1,420 @@
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| 1 |
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| 2 |
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| 4 |
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| 9 |
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| 11 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 18 |
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| 19 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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|
| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 48 |
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| 49 |
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| 52 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 88 |
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| 104 |
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| 164 |
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| 166 |
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| 167 |
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| 168 |
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| 169 |
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| 170 |
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| 172 |
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| 176 |
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| 180 |
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| 184 |
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data/vals_ai/ai21labs/jamba-1.5-large/54af59b7-fe2a-406f-9cbc-9b82a88bbf2a.json
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@@ -0,0 +1,222 @@
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data/vals_ai/ai21labs/jamba-1.5-large/a32565f8-650d-4774-9ebb-1cdfc22b6bd8.json
ADDED
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@@ -0,0 +1,420 @@
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| 1 |
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{
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| 2 |
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data/vals_ai/ai21labs/jamba-1.5-large/ae89b470-f465-4e34-a93c-3f6cce74a877.json
ADDED
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@@ -0,0 +1,491 @@
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|
| 1 |
+
{
|
| 2 |
+
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|
| 3 |
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|
| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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| 17 |
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|
| 18 |
+
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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"name": "jamba-1.5-large",
|
| 27 |
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"id": "ai21labs/jamba-1.5-large",
|
| 28 |
+
"developer": "ai21labs",
|
| 29 |
+
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|
| 30 |
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|
| 31 |
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"vals_provider": "AI21 Labs"
|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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{
|
| 36 |
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"evaluation_result_id": "medqa:asian:ai21labs/jamba-1.5-large:score",
|
| 37 |
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|
| 38 |
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|
| 39 |
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"dataset_name": "MedQA - Asian",
|
| 40 |
+
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|
| 41 |
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"url": [
|
| 42 |
+
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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"dataset_type": "public",
|
| 48 |
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| 49 |
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| 50 |
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|
| 51 |
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| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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| 56 |
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| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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| 63 |
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| 64 |
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|
| 65 |
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|
| 66 |
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| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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| 89 |
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|
| 90 |
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|
| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 99 |
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| 100 |
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|
| 101 |
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"evaluation_result_id": "medqa:black:ai21labs/jamba-1.5-large:score",
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| 102 |
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| 103 |
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|
| 104 |
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| 105 |
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| 106 |
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|
| 107 |
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|
| 108 |
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| 109 |
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| 110 |
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| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 128 |
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|
| 129 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/medqa"
|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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"score": 67.6,
|
| 134 |
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"details": {
|
| 135 |
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"benchmark_slug": "medqa",
|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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| 148 |
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| 149 |
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| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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| 154 |
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| 155 |
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|
| 156 |
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| 157 |
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| 158 |
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| 159 |
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| 162 |
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| 164 |
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| 165 |
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|
| 166 |
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| 167 |
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| 168 |
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| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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| 184 |
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| 185 |
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| 186 |
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| 187 |
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| 188 |
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| 189 |
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|
| 190 |
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| 191 |
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| 192 |
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| 194 |
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| 195 |
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| 196 |
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| 197 |
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| 198 |
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|
| 199 |
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| 200 |
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| 201 |
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| 202 |
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| 203 |
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| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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| 210 |
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| 219 |
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| 223 |
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|
| 230 |
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|
| 231 |
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| 232 |
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| 233 |
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| 234 |
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| 235 |
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| 236 |
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|
| 237 |
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|
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data/vals_ai/ai21labs/jamba-1.5-large/e4594962-06fb-446e-8c11-c0ff28bf39f7.json
ADDED
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@@ -0,0 +1,284 @@
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|
data/vals_ai/ai21labs/jamba-1.5-mini/41674013-3e65-4368-b962-e76d93784295.json
ADDED
|
@@ -0,0 +1,284 @@
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| 1 |
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| 284 |
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|
data/vals_ai/ai21labs/jamba-1.5-mini/5b591275-1086-4008-82ba-90f727c67ea6.json
ADDED
|
@@ -0,0 +1,420 @@
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| 1 |
+
{
|
| 2 |
+
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|
| 3 |
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| 4 |
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| 8 |
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| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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"benchmark_slug": "legal_bench",
|
| 13 |
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"benchmark_name": "LegalBench",
|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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"version": "unknown"
|
| 24 |
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|
| 25 |
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|
| 26 |
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"name": "jamba-1.5-mini",
|
| 27 |
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"id": "ai21labs/jamba-1.5-mini",
|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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{
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| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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"dataset_name": "LegalBench - Conclusion Tasks",
|
| 40 |
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|
| 41 |
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"url": [
|
| 42 |
+
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|
| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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| 79 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 94 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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|
| 100 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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|
| 128 |
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| 129 |
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| 130 |
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| 131 |
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|
| 132 |
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|
| 133 |
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| 134 |
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| 135 |
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|
| 136 |
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| 137 |
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|
| 138 |
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| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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|
| 144 |
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| 145 |
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| 146 |
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| 147 |
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| 148 |
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| 149 |
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|
| 150 |
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| 151 |
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| 152 |
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| 153 |
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| 154 |
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| 155 |
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| 156 |
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| 157 |
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| 160 |
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| 161 |
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| 162 |
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| 163 |
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|
| 164 |
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| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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| 169 |
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|
| 170 |
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| 171 |
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| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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| 184 |
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| 185 |
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| 186 |
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| 187 |
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| 188 |
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| 190 |
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| 191 |
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| 192 |
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| 193 |
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| 194 |
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| 195 |
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|
| 196 |
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| 197 |
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| 198 |
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| 199 |
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| 201 |
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|
| 202 |
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| 203 |
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| 204 |
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| 205 |
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| 206 |
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| 208 |
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| 214 |
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| 216 |
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| 217 |
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| 219 |
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| 220 |
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| 227 |
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|
| 228 |
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| 229 |
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| 230 |
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| 231 |
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| 232 |
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| 233 |
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|
| 234 |
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| 235 |
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| 236 |
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| 238 |
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| 240 |
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| 241 |
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| 243 |
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| 244 |
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| 245 |
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| 248 |
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| 249 |
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data/vals_ai/ai21labs/jamba-1.5-mini/bf2a2cec-c287-4d2a-a453-4f818bd29c84.json
ADDED
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@@ -0,0 +1,491 @@
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| 1 |
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{
|
| 2 |
+
"schema_version": "0.2.2",
|
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data/vals_ai/ai21labs/jamba-large-1.6/40fca17d-d53c-4335-8742-72c8086e3e06.json
ADDED
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@@ -0,0 +1,284 @@
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| 193 |
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|
| 194 |
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|
| 195 |
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| 196 |
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| 197 |
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| 198 |
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| 199 |
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| 200 |
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| 201 |
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| 202 |
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| 203 |
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| 204 |
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| 205 |
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| 206 |
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| 207 |
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| 208 |
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| 209 |
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| 210 |
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| 211 |
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| 212 |
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| 213 |
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| 214 |
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| 215 |
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| 216 |
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| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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{
|
| 222 |
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"evaluation_result_id": "corp_fin_v2:shared_max_context:ai21labs/jamba-large-1.6:score",
|
| 223 |
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"evaluation_name": "vals_ai.corp_fin_v2.shared_max_context",
|
| 224 |
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"source_data": {
|
| 225 |
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"dataset_name": "CorpFin v2 - Shared Max Context",
|
| 226 |
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|
| 227 |
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|
| 228 |
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"benchmark_slug": "corp_fin_v2",
|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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|
| 233 |
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|
| 234 |
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"metric_config": {
|
| 235 |
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"evaluation_description": "Accuracy reported by Vals.ai for CorpFin v2 (Shared Max Context).",
|
| 236 |
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|
| 237 |
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"metric_name": "Accuracy",
|
| 238 |
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|
| 239 |
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|
| 240 |
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|
| 241 |
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|
| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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| 246 |
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|
| 247 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/corp_fin_v2"
|
| 248 |
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}
|
| 249 |
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},
|
| 250 |
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"score_details": {
|
| 251 |
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"score": 39.044,
|
| 252 |
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"details": {
|
| 253 |
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"benchmark_slug": "corp_fin_v2",
|
| 254 |
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"benchmark_name": "CorpFin v2",
|
| 255 |
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|
| 256 |
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"task_key": "shared_max_context",
|
| 257 |
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"task_name": "Shared Max Context",
|
| 258 |
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"dataset_type": "private",
|
| 259 |
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"industry": "finance",
|
| 260 |
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"raw_score": "39.044",
|
| 261 |
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|
| 262 |
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"latency": "33.916",
|
| 263 |
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|
| 264 |
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|
| 265 |
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|
| 266 |
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"provider": "AI21 Labs"
|
| 267 |
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|
| 268 |
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|
| 269 |
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|
| 270 |
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|
| 271 |
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"method": "vals_reported"
|
| 272 |
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|
| 273 |
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|
| 274 |
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|
| 275 |
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"generation_config": {
|
| 276 |
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|
| 277 |
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|
| 278 |
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|
| 279 |
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|
| 280 |
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|
| 281 |
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|
| 282 |
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|
| 283 |
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]
|
| 284 |
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}
|
data/vals_ai/ai21labs/jamba-large-1.6/72d6296f-9283-4127-8bea-86918844260e.json
ADDED
|
@@ -0,0 +1,1011 @@
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| 1 |
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| 11 |
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| 14 |
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| 18 |
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| 19 |
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| 23 |
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| 24 |
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| 25 |
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|
| 26 |
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"name": "jamba-large-1.6",
|
| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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|
| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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|
| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 52 |
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| 54 |
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| 56 |
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| 57 |
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| 58 |
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| 64 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 89 |
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| 101 |
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| 105 |
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| 106 |
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| 107 |
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| 109 |
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 125 |
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| 127 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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| 136 |
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| 137 |
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| 138 |
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| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 144 |
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| 169 |
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| 171 |
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| 179 |
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| 194 |
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| 205 |
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| 206 |
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| 1 |
+
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| 2 |
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| 11 |
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| 13 |
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| 14 |
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| 15 |
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| 18 |
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| 19 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 47 |
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| 48 |
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| 72 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 89 |
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| 113 |
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| 129 |
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| 130 |
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| 133 |
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| 136 |
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| 137 |
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| 138 |
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| 139 |
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| 154 |
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| 166 |
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| 170 |
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| 171 |
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| 172 |
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| 173 |
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| 205 |
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| 232 |
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| 234 |
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| 260 |
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| 261 |
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| 262 |
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| 263 |
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| 264 |
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| 265 |
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| 266 |
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| 267 |
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| 268 |
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| 269 |
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| 272 |
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| 277 |
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| 280 |
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| 281 |
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| 288 |
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| 289 |
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| 291 |
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| 292 |
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| 293 |
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| 294 |
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| 295 |
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|
| 296 |
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|
data/vals_ai/ai21labs/jamba-large-1.6/8ce17aa9-476d-41a6-900c-f679b39016cc.json
ADDED
|
@@ -0,0 +1,491 @@
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| 1 |
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{
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| 2 |
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| 3 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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"version": "unknown"
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| 24 |
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| 25 |
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|
| 26 |
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"name": "jamba-large-1.6",
|
| 27 |
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"id": "ai21labs/jamba-large-1.6",
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| 28 |
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"developer": "ai21labs",
|
| 29 |
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|
| 30 |
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| 31 |
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| 32 |
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| 33 |
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|
| 35 |
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|
| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 42 |
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| 44 |
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| 48 |
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| 56 |
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| 58 |
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| 59 |
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| 71 |
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| 73 |
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|
| 74 |
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|
| 75 |
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| 76 |
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| 77 |
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| 78 |
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|
| 79 |
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|
| 80 |
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| 81 |
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| 82 |
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|
| 84 |
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| 85 |
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|
| 86 |
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| 87 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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|
| 99 |
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| 100 |
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{
|
| 101 |
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"evaluation_result_id": "medqa:black:ai21labs/jamba-large-1.6:score",
|
| 102 |
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"evaluation_name": "vals_ai.medqa.black",
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| 103 |
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|
| 104 |
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"dataset_name": "MedQA - Black",
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| 105 |
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"source_type": "url",
|
| 106 |
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"url": [
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| 107 |
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|
| 108 |
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| 109 |
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|
| 110 |
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"benchmark_slug": "medqa",
|
| 111 |
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"task_key": "black",
|
| 112 |
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"dataset_type": "public",
|
| 113 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/medqa"
|
| 114 |
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|
| 115 |
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|
| 116 |
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"metric_config": {
|
| 117 |
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"evaluation_description": "Accuracy reported by Vals.ai for MedQA (Black).",
|
| 118 |
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"metric_id": "vals_ai.medqa.black.accuracy",
|
| 119 |
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"metric_name": "Accuracy",
|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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"max_score_source": "fixed_percentage_bound",
|
| 129 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/medqa"
|
| 130 |
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}
|
| 131 |
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},
|
| 132 |
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"score_details": {
|
| 133 |
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data/vals_ai/ai21labs/jamba-large-1.6/9c7a1f62-6f22-4051-80ff-087cb585ce21.json
ADDED
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@@ -0,0 +1,231 @@
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| 1 |
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| 11 |
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| 13 |
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|
| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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| 34 |
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|
| 35 |
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|
| 36 |
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| 37 |
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| 38 |
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|
| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 45 |
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| 46 |
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| 48 |
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| 49 |
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| 75 |
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| 140 |
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| 169 |
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| 179 |
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| 190 |
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| 191 |
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| 192 |
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| 194 |
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| 195 |
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| 196 |
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| 197 |
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| 198 |
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|
| 199 |
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| 200 |
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|
| 201 |
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|
| 202 |
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| 203 |
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| 204 |
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| 205 |
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|
| 206 |
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| 207 |
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|
| 208 |
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|
| 210 |
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| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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|
data/vals_ai/ai21labs/jamba-large-1.6/c42442a2-3d93-4c89-aac5-d4e684db8063.json
ADDED
|
@@ -0,0 +1,101 @@
|
|
|
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|
|
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|
|
|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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@@ -0,0 +1,225 @@
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| 200 |
+
"task_name": "Overall",
|
| 201 |
+
"dataset_type": "public",
|
| 202 |
+
"industry": "math",
|
| 203 |
+
"raw_score": "0.417",
|
| 204 |
+
"raw_stderr": "0.417",
|
| 205 |
+
"latency": "18.858",
|
| 206 |
+
"cost_per_test": "0.007658",
|
| 207 |
+
"temperature": "0.4",
|
| 208 |
+
"provider": "AI21 Labs"
|
| 209 |
+
},
|
| 210 |
+
"uncertainty": {
|
| 211 |
+
"standard_error": {
|
| 212 |
+
"value": 0.417,
|
| 213 |
+
"method": "vals_reported"
|
| 214 |
+
}
|
| 215 |
+
}
|
| 216 |
+
},
|
| 217 |
+
"generation_config": {
|
| 218 |
+
"generation_args": {
|
| 219 |
+
"temperature": 0.4,
|
| 220 |
+
"max_attempts": 1
|
| 221 |
+
}
|
| 222 |
+
}
|
| 223 |
+
}
|
| 224 |
+
]
|
| 225 |
+
}
|
data/vals_ai/ai21labs/jamba-large-1.6/eb4d50ea-2e88-47a4-be84-b79087348a30.json
ADDED
|
@@ -0,0 +1,816 @@
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "vals-ai/mgsm/ai21labs_jamba-large-1.6/1782816293.6170497",
|
| 4 |
+
"retrieved_timestamp": "1782816293.6170497",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "Vals.ai Leaderboard - MGSM",
|
| 7 |
+
"source_type": "documentation",
|
| 8 |
+
"source_organization_name": "Vals.ai",
|
| 9 |
+
"source_organization_url": "https://www.vals.ai",
|
| 10 |
+
"evaluator_relationship": "third_party",
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data/vals_ai/ai21labs/jamba-large-1.6/f069e426-9791-4159-8b35-a91442ad7f0f.json
ADDED
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@@ -0,0 +1,420 @@
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data/vals_ai/ai21labs/jamba-mini-1.6/0d5ce028-e98b-4494-83ce-9d3f55d2e5c5.json
ADDED
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@@ -0,0 +1,231 @@
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| 1 |
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{
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"max_attempts": 1
|
| 97 |
+
}
|
| 98 |
+
}
|
| 99 |
+
}
|
| 100 |
+
]
|
| 101 |
+
}
|
data/vals_ai/ai21labs/jamba-mini-1.6/28600d57-2f0d-4076-a3fa-363036acad23.json
ADDED
|
@@ -0,0 +1,816 @@
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "vals-ai/mgsm/ai21labs_jamba-mini-1.6/1782816293.6170497",
|
| 4 |
+
"retrieved_timestamp": "1782816293.6170497",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "Vals.ai Leaderboard - MGSM",
|
| 7 |
+
"source_type": "documentation",
|
| 8 |
+
"source_organization_name": "Vals.ai",
|
| 9 |
+
"source_organization_url": "https://www.vals.ai",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"benchmark_slug": "mgsm",
|
| 13 |
+
"benchmark_name": "MGSM",
|
| 14 |
+
"benchmark_updated": "2026-01-09",
|
| 15 |
+
"dataset_type": "public",
|
| 16 |
+
"industry": "math",
|
| 17 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/mgsm",
|
| 18 |
+
"extraction_method": "static_astro_benchmark_view_props"
|
| 19 |
+
}
|
| 20 |
+
},
|
| 21 |
+
"eval_library": {
|
| 22 |
+
"name": "Vals.ai",
|
| 23 |
+
"version": "unknown"
|
| 24 |
+
},
|
| 25 |
+
"model_info": {
|
| 26 |
+
"name": "jamba-mini-1.6",
|
| 27 |
+
"id": "ai21labs/jamba-mini-1.6",
|
| 28 |
+
"developer": "ai21labs",
|
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| 780 |
+
}
|
| 781 |
+
},
|
| 782 |
+
"score_details": {
|
| 783 |
+
"score": 41.709,
|
| 784 |
+
"details": {
|
| 785 |
+
"benchmark_slug": "mgsm",
|
| 786 |
+
"benchmark_name": "MGSM",
|
| 787 |
+
"benchmark_updated": "2026-01-09",
|
| 788 |
+
"task_key": "overall",
|
| 789 |
+
"task_name": "Overall",
|
| 790 |
+
"dataset_type": "public",
|
| 791 |
+
"industry": "math",
|
| 792 |
+
"raw_score": "41.709",
|
| 793 |
+
"raw_stderr": "2.871",
|
| 794 |
+
"latency": "3.927",
|
| 795 |
+
"cost_per_test": "0.000279",
|
| 796 |
+
"temperature": "0.4",
|
| 797 |
+
"max_output_tokens": "4096",
|
| 798 |
+
"provider": "AI21 Labs"
|
| 799 |
+
},
|
| 800 |
+
"uncertainty": {
|
| 801 |
+
"standard_error": {
|
| 802 |
+
"value": 2.871,
|
| 803 |
+
"method": "vals_reported"
|
| 804 |
+
}
|
| 805 |
+
}
|
| 806 |
+
},
|
| 807 |
+
"generation_config": {
|
| 808 |
+
"generation_args": {
|
| 809 |
+
"temperature": 0.4,
|
| 810 |
+
"max_tokens": 4096,
|
| 811 |
+
"max_attempts": 1
|
| 812 |
+
}
|
| 813 |
+
}
|
| 814 |
+
}
|
| 815 |
+
]
|
| 816 |
+
}
|
data/vals_ai/ai21labs/jamba-mini-1.6/2ff73f5c-cf05-42ce-9d83-a29fe67aa423.json
ADDED
|
@@ -0,0 +1,1011 @@
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|
| 258 |
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"dataset_type": "private",
|
| 259 |
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"industry": "finance",
|
| 260 |
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"raw_score": "37.063",
|
| 261 |
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"raw_stderr": "1.649",
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| 262 |
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"latency": "3.391",
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| 263 |
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"cost_per_test": "0.013854",
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| 264 |
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"temperature": "0.4",
|
| 265 |
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"max_output_tokens": "4096",
|
| 266 |
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"provider": "AI21 Labs"
|
| 267 |
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},
|
| 268 |
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|
| 269 |
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|
| 270 |
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|
| 271 |
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|
| 272 |
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| 273 |
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| 274 |
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| 275 |
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"generation_config": {
|
| 276 |
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| 277 |
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| 278 |
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"max_tokens": 4096,
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| 279 |
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|
| 280 |
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| 281 |
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|
| 282 |
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|
| 283 |
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|
| 284 |
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}
|
data/vals_ai/ai21labs/jamba-mini-1.6/45134327-7b9b-4b94-8b33-df6bfe6d4123.json
ADDED
|
@@ -0,0 +1,491 @@
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| 1 |
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{
|
| 2 |
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|
| 3 |
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| 4 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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"name": "Vals.ai",
|
| 23 |
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"version": "unknown"
|
| 24 |
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},
|
| 25 |
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"model_info": {
|
| 26 |
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"name": "jamba-mini-1.6",
|
| 27 |
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"id": "ai21labs/jamba-mini-1.6",
|
| 28 |
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"developer": "ai21labs",
|
| 29 |
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"additional_details": {
|
| 30 |
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"vals_model_id": "ai21labs/jamba-mini-1.6",
|
| 31 |
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"vals_provider": "AI21 Labs"
|
| 32 |
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}
|
| 33 |
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|
| 34 |
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"evaluation_results": [
|
| 35 |
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{
|
| 36 |
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"evaluation_result_id": "medqa:asian:ai21labs/jamba-mini-1.6:score",
|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"url": [
|
| 42 |
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|
| 43 |
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|
| 44 |
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"additional_details": {
|
| 45 |
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"benchmark_slug": "medqa",
|
| 46 |
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|
| 47 |
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"dataset_type": "public",
|
| 48 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/medqa"
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| 49 |
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| 50 |
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|
| 51 |
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| 52 |
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| 53 |
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| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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"score_type": "continuous",
|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
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| 68 |
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|
| 69 |
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|
| 70 |
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| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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"latency": "2.265",
|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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"value": 1.117,
|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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{
|
| 101 |
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"evaluation_result_id": "medqa:black:ai21labs/jamba-mini-1.6:score",
|
| 102 |
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"evaluation_name": "vals_ai.medqa.black",
|
| 103 |
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|
| 104 |
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"dataset_name": "MedQA - Black",
|
| 105 |
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"source_type": "url",
|
| 106 |
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"url": [
|
| 107 |
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"https://www.vals.ai/benchmarks/medqa"
|
| 108 |
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|
| 109 |
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"additional_details": {
|
| 110 |
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"benchmark_slug": "medqa",
|
| 111 |
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"task_key": "black",
|
| 112 |
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"dataset_type": "public",
|
| 113 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/medqa"
|
| 114 |
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}
|
| 115 |
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},
|
| 116 |
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"metric_config": {
|
| 117 |
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"evaluation_description": "Accuracy reported by Vals.ai for MedQA (Black).",
|
| 118 |
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"metric_id": "vals_ai.medqa.black.accuracy",
|
| 119 |
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"metric_name": "Accuracy",
|
| 120 |
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"metric_kind": "accuracy",
|
| 121 |
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"metric_unit": "percent",
|
| 122 |
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"lower_is_better": false,
|
| 123 |
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"score_type": "continuous",
|
| 124 |
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"min_score": 0.0,
|
| 125 |
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"max_score": 100.0,
|
| 126 |
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"additional_details": {
|
| 127 |
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"score_scale": "percent_0_to_100",
|
| 128 |
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"max_score_source": "fixed_percentage_bound",
|
| 129 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/medqa"
|
| 130 |
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}
|
| 131 |
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},
|
| 132 |
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"score_details": {
|
| 133 |
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"score": 51.15,
|
| 134 |
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"details": {
|
| 135 |
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"benchmark_slug": "medqa",
|
| 136 |
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"benchmark_name": "MedQA",
|
| 137 |
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"benchmark_updated": "2026-04-16",
|
| 138 |
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"task_key": "black",
|
| 139 |
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"task_name": "Black",
|
| 140 |
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"dataset_type": "public",
|
| 141 |
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"industry": "healthcare",
|
| 142 |
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"raw_score": "51.15",
|
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@@ -0,0 +1,225 @@
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| 1 |
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| 180 |
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| 184 |
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| 190 |
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| 191 |
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| 192 |
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| 194 |
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| 196 |
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| 197 |
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| 198 |
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| 199 |
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|
| 200 |
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| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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| 205 |
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|
| 206 |
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|
| 207 |
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| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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| 219 |
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| 220 |
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|
| 221 |
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| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
data/vals_ai/ai21labs/jamba-mini-1.6/5c86fbab-08aa-42b3-89ea-8d5c1eb3847b.json
ADDED
|
@@ -0,0 +1,420 @@
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| 1 |
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| 27 |
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| 170 |
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@@ -0,0 +1,296 @@
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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| 114 |
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| 115 |
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| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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| 122 |
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| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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| 138 |
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| 139 |
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|
| 140 |
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| 141 |
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| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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| 148 |
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| 149 |
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| 150 |
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| 151 |
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|
| 152 |
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| 153 |
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| 154 |
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| 155 |
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|
| 156 |
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| 157 |
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| 158 |
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| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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| 165 |
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|
| 166 |
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| 167 |
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|
| 168 |
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| 169 |
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| 170 |
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| 171 |
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| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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|
| 180 |
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| 181 |
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|
| 182 |
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|
| 183 |
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| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
data/vals_ai/cursor/composer-2.5/151e87ea-eb6f-4727-b4fa-e4a16ceed8bf.json
ADDED
|
@@ -0,0 +1,96 @@
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
| 1 |
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|
| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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|
| 6 |
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| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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| 17 |
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| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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|
| 22 |
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|
| 23 |
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| 24 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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|
| 31 |
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| 32 |
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| 33 |
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| 34 |
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|
| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 42 |
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| 44 |
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| 51 |
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| 52 |
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|
| 62 |
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| 63 |
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| 64 |
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|
| 65 |
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|
| 66 |
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| 67 |
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|
| 68 |
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| 69 |
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|
| 70 |
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|
| 71 |
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| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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| 78 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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| 83 |
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|
| 84 |
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| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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| 91 |
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| 92 |
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| 94 |
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|
| 95 |
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|
| 96 |
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|
data/vals_ai/cursor/composer-2.5/1943b4ca-0691-46d7-91bf-50786a531010.json
ADDED
|
@@ -0,0 +1,346 @@
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}
|
data/vals_ai/cursor/composer-2.5/7a315aab-e874-48ad-9fe5-13695ca83c92.json
ADDED
|
@@ -0,0 +1,284 @@
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| 1 |
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{
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| 2 |
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| 3 |
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| 248 |
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"score_scale": "percent_0_to_100",
|
| 249 |
+
"max_score_source": "fixed_percentage_bound",
|
| 250 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/terminal-bench-2-1"
|
| 251 |
+
}
|
| 252 |
+
},
|
| 253 |
+
"score_details": {
|
| 254 |
+
"score": 58.427,
|
| 255 |
+
"details": {
|
| 256 |
+
"benchmark_slug": "terminal-bench-2-1",
|
| 257 |
+
"benchmark_name": "Terminal-Bench 2.1",
|
| 258 |
+
"benchmark_updated": "2026-06-17",
|
| 259 |
+
"task_key": "overall",
|
| 260 |
+
"task_name": "Overall",
|
| 261 |
+
"dataset_type": "public",
|
| 262 |
+
"industry": "coding",
|
| 263 |
+
"raw_score": "58.427",
|
| 264 |
+
"raw_stderr": "5.254",
|
| 265 |
+
"latency": "0",
|
| 266 |
+
"max_output_tokens": "200000",
|
| 267 |
+
"provider": "Cursor"
|
| 268 |
+
},
|
| 269 |
+
"uncertainty": {
|
| 270 |
+
"standard_error": {
|
| 271 |
+
"value": 5.254,
|
| 272 |
+
"method": "vals_reported"
|
| 273 |
+
}
|
| 274 |
+
}
|
| 275 |
+
},
|
| 276 |
+
"generation_config": {
|
| 277 |
+
"generation_args": {
|
| 278 |
+
"max_tokens": 200000,
|
| 279 |
+
"max_attempts": 1
|
| 280 |
+
}
|
| 281 |
+
}
|
| 282 |
+
}
|
| 283 |
+
]
|
| 284 |
+
}
|
data/vals_ai/devin/swe-1-6-fast/afc21349-c071-47ce-a030-6c761d738394.json
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
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|
|
|
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|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "vals-ai/vibe-code/devin_swe-1-6-fast/1782816293.6170497",
|
| 4 |
+
"retrieved_timestamp": "1782816293.6170497",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "Vals.ai Leaderboard - Vibe Code Bench v1.1",
|
| 7 |
+
"source_type": "documentation",
|
| 8 |
+
"source_organization_name": "Vals.ai",
|
| 9 |
+
"source_organization_url": "https://www.vals.ai",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"benchmark_slug": "vibe-code",
|
| 13 |
+
"benchmark_name": "Vibe Code Bench v1.1",
|
| 14 |
+
"benchmark_updated": "2026-06-17",
|
| 15 |
+
"dataset_type": "private",
|
| 16 |
+
"industry": "coding",
|
| 17 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/vibe-code",
|
| 18 |
+
"extraction_method": "static_astro_benchmark_view_props"
|
| 19 |
+
}
|
| 20 |
+
},
|
| 21 |
+
"eval_library": {
|
| 22 |
+
"name": "Vals.ai",
|
| 23 |
+
"version": "unknown"
|
| 24 |
+
},
|
| 25 |
+
"model_info": {
|
| 26 |
+
"name": "swe-1-6-fast",
|
| 27 |
+
"id": "devin/swe-1-6-fast",
|
| 28 |
+
"developer": "devin",
|
| 29 |
+
"additional_details": {
|
| 30 |
+
"vals_model_id": "devin/swe-1-6-fast",
|
| 31 |
+
"vals_provider": "Devin"
|
| 32 |
+
}
|
| 33 |
+
},
|
| 34 |
+
"evaluation_results": [
|
| 35 |
+
{
|
| 36 |
+
"evaluation_result_id": "vibe-code:overall:devin/swe-1-6-fast:score",
|
| 37 |
+
"evaluation_name": "vals_ai.vibe-code.overall",
|
| 38 |
+
"source_data": {
|
| 39 |
+
"dataset_name": "Vibe Code Bench v1.1 - Overall",
|
| 40 |
+
"source_type": "other",
|
| 41 |
+
"additional_details": {
|
| 42 |
+
"benchmark_slug": "vibe-code",
|
| 43 |
+
"task_key": "overall",
|
| 44 |
+
"dataset_type": "private",
|
| 45 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/vibe-code"
|
| 46 |
+
}
|
| 47 |
+
},
|
| 48 |
+
"metric_config": {
|
| 49 |
+
"evaluation_description": "Accuracy reported by Vals.ai for Vibe Code Bench v1.1 (Overall).",
|
| 50 |
+
"metric_id": "vals_ai.vibe-code.overall.accuracy",
|
| 51 |
+
"metric_name": "Accuracy",
|
| 52 |
+
"metric_kind": "accuracy",
|
| 53 |
+
"metric_unit": "percent",
|
| 54 |
+
"lower_is_better": false,
|
| 55 |
+
"score_type": "continuous",
|
| 56 |
+
"min_score": 0.0,
|
| 57 |
+
"max_score": 100.0,
|
| 58 |
+
"additional_details": {
|
| 59 |
+
"score_scale": "percent_0_to_100",
|
| 60 |
+
"max_score_source": "fixed_percentage_bound",
|
| 61 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/vibe-code"
|
| 62 |
+
}
|
| 63 |
+
},
|
| 64 |
+
"score_details": {
|
| 65 |
+
"score": 7.22,
|
| 66 |
+
"details": {
|
| 67 |
+
"benchmark_slug": "vibe-code",
|
| 68 |
+
"benchmark_name": "Vibe Code Bench v1.1",
|
| 69 |
+
"benchmark_updated": "2026-06-17",
|
| 70 |
+
"task_key": "overall",
|
| 71 |
+
"task_name": "Overall",
|
| 72 |
+
"dataset_type": "private",
|
| 73 |
+
"industry": "coding",
|
| 74 |
+
"raw_score": "7.22",
|
| 75 |
+
"raw_stderr": "2.635",
|
| 76 |
+
"latency": "189.132",
|
| 77 |
+
"max_output_tokens": "0",
|
| 78 |
+
"provider": "Devin"
|
| 79 |
+
},
|
| 80 |
+
"uncertainty": {
|
| 81 |
+
"standard_error": {
|
| 82 |
+
"value": 2.635,
|
| 83 |
+
"method": "vals_reported"
|
| 84 |
+
}
|
| 85 |
+
}
|
| 86 |
+
}
|
| 87 |
+
}
|
| 88 |
+
]
|
| 89 |
+
}
|
data/vals_ai/google/gemini-1.0-pro-002/b3d279fe-bc59-4171-9d1e-0547ff7389e3.json
ADDED
|
@@ -0,0 +1,408 @@
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
|
|
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|
|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
|
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|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
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|
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|
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|
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|
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|
|
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|
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|
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|
|
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|
|
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|
|
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|
|
|
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|
|
|
|
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|
|
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|
|
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|
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|
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|
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|
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|
|
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|
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|
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "vals-ai/legal_bench/google_gemini-1.0-pro-002/1782816293.6170497",
|
| 4 |
+
"retrieved_timestamp": "1782816293.6170497",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "Vals.ai Leaderboard - LegalBench",
|
| 7 |
+
"source_type": "documentation",
|
| 8 |
+
"source_organization_name": "Vals.ai",
|
| 9 |
+
"source_organization_url": "https://www.vals.ai",
|
| 10 |
+
"evaluator_relationship": "third_party",
|
| 11 |
+
"additional_details": {
|
| 12 |
+
"benchmark_slug": "legal_bench",
|
| 13 |
+
"benchmark_name": "LegalBench",
|
| 14 |
+
"benchmark_updated": "2026-06-17",
|
| 15 |
+
"dataset_type": "public",
|
| 16 |
+
"industry": "legal",
|
| 17 |
+
"leaderboard_page_url": "https://www.vals.ai/benchmarks/legal_bench",
|
| 18 |
+
"extraction_method": "static_astro_benchmark_view_props"
|
| 19 |
+
}
|
| 20 |
+
},
|
| 21 |
+
"eval_library": {
|
| 22 |
+
"name": "Vals.ai",
|
| 23 |
+
"version": "unknown"
|
| 24 |
+
},
|
| 25 |
+
"model_info": {
|
| 26 |
+
"name": "gemini-1.0-pro-002",
|
| 27 |
+
"id": "google/gemini-1.0-pro-002",
|
| 28 |
+
"developer": "google",
|
| 29 |
+
"additional_details": {
|
| 30 |
+
"vals_model_id": "google/gemini-1.0-pro-002",
|
| 31 |
+
"vals_provider": "Google"
|
| 32 |
+
}
|
| 33 |
+
},
|
| 34 |
+
"evaluation_results": [
|
| 35 |
+
{
|
| 36 |
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|
| 408 |
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|
data/vals_ai/google/gemini-1.5-flash-001/83db365c-ae7d-44a8-b4a3-538786572f38.json
ADDED
|
@@ -0,0 +1,276 @@
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| 1 |
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| 2 |
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| 11 |
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| 13 |
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| 14 |
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| 16 |
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| 18 |
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| 23 |
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| 24 |
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| 26 |
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|
| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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|
| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 71 |
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| 72 |
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|
| 254 |
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|
| 255 |
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|
| 256 |
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|
| 257 |
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| 258 |
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| 259 |
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| 260 |
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| 261 |
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| 262 |
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| 263 |
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| 264 |
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| 265 |
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| 266 |
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| 267 |
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| 268 |
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| 269 |
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| 270 |
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| 271 |
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| 272 |
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| 273 |
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| 274 |
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| 275 |
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| 276 |
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data/vals_ai/google/gemini-1.5-flash-002/05b2c5f6-0800-4754-99eb-4f101ee8df22.json
ADDED
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@@ -0,0 +1,288 @@
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| 1 |
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data/vals_ai/google/gemini-1.5-flash-002/641c01ad-eed3-4c3d-97db-e4bab37ada9c.json
ADDED
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@@ -0,0 +1,204 @@
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data/vals_ai/google/gemini-1.5-flash-002/8f4921ad-eec6-449b-bac4-e71be5d75bb4.json
ADDED
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@@ -0,0 +1,225 @@
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|
|
|
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|
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|
|
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|
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|
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|
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|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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|
| 9 |
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| 10 |
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| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 55 |
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| 56 |
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| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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| 64 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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| 95 |
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| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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| 101 |
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|
| 102 |
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| 103 |
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| 104 |
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| 105 |
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|
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| 110 |
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| 111 |
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| 112 |
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|
| 117 |
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| 118 |
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|
| 127 |
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|
| 128 |
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|
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|
| 132 |
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|
| 133 |
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| 136 |
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| 137 |
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| 138 |
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| 139 |
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| 140 |
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| 141 |
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|
| 146 |
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| 147 |
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| 148 |
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| 151 |
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| 154 |
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| 155 |
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|
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|
| 162 |
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| 163 |
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| 164 |
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| 165 |
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| 166 |
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|
| 167 |
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| 168 |
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|
| 169 |
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| 170 |
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| 171 |
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|
| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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|
| 180 |
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| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
+
}
|
data/vals_ai/google/gemini-1.5-flash-002/91a30721-d97a-428c-88c0-ccebb4f07f88.json
ADDED
|
@@ -0,0 +1,216 @@
|
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|
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|
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|
|
|
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|
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|
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|
|
|
|
|
|
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|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
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|
|
|
| 1 |
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|
| 2 |
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|
| 3 |
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| 5 |
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| 9 |
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| 11 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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|
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|
data/vals_ai/google/gemini-1.5-flash-002/98d3b645-12e9-4f2c-80cc-3f4be2b50fb6.json
ADDED
|
@@ -0,0 +1,408 @@
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data/vals_ai/google/gemini-1.5-flash-002/9d2cbac5-a39c-4d1c-8bbf-36de912c59d8.json
ADDED
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@@ -0,0 +1,216 @@
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data/vals_ai/google/gemini-1.5-flash-002/aed6d11d-86e1-41da-97dd-1f8fe8674a3c.json
ADDED
|
@@ -0,0 +1,99 @@
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| 1 |
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data/vals_ai/google/gemini-1.5-flash-002/bfd8ca28-dd84-4226-be70-388b4a562f73.json
ADDED
|
@@ -0,0 +1,792 @@
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| 1 |
+
{
|
| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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|
| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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|
| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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| 37 |
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| 38 |
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|
| 39 |
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|
| 40 |
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| 41 |
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|
| 42 |
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|
| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 62 |
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| 64 |
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| 65 |
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| 66 |
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| 68 |
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|
| 69 |
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|
| 70 |
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| 71 |
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|
| 72 |
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| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 87 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 94 |
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| 95 |
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| 97 |
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| 98 |
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|
| 99 |
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| 100 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 110 |
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| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 117 |
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| 118 |
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| 119 |
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| 121 |
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| 122 |
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| 127 |
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|
| 128 |
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|
| 129 |
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| 130 |
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| 131 |
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|
| 132 |
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| 133 |
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| 134 |
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| 135 |
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| 136 |
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| 137 |
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| 138 |
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| 139 |
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| 140 |
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| 141 |
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| 142 |
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| 143 |
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| 144 |
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| 145 |
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| 146 |
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| 151 |
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| 152 |
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| 153 |
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| 154 |
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| 155 |
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| 158 |
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| 161 |
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| 162 |
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| 163 |
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| 164 |
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| 165 |
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| 166 |
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| 167 |
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| 168 |
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| 169 |
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| 170 |
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| 171 |
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| 172 |
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| 174 |
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| 178 |
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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| 184 |
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| 188 |
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| 190 |
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| 191 |
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| 199 |
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| 202 |
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| 203 |
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| 214 |
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| 229 |
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| 230 |
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| 231 |
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data/vals_ai/google/gemini-1.5-flash-002/caefb57e-8a83-46d9-b83d-5af165c59b61.json
ADDED
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@@ -0,0 +1,981 @@
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|
| 1 |
+
{
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| 2 |
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| 3 |
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| 4 |
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| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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|
| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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|
| 20 |
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| 21 |
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| 22 |
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|
| 23 |
+
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|
| 24 |
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|
| 25 |
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|
| 26 |
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"name": "gemini-1.5-flash-002",
|
| 27 |
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"id": "google/gemini-1.5-flash-002",
|
| 28 |
+
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|
| 29 |
+
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|
| 30 |
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"vals_model_id": "google/gemini-1.5-flash-002",
|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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{
|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"url": [
|
| 42 |
+
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|
| 43 |
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| 44 |
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|
| 45 |
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|
| 46 |
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| 47 |
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|
| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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| 89 |
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|
| 90 |
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| 91 |
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| 92 |
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|
| 93 |
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|
| 94 |
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| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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| 104 |
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|
| 105 |
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|
| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 110 |
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|
| 111 |
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"leaderboard_page_url": "https://www.vals.ai/benchmarks/mmlu_pro"
|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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| 120 |
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| 121 |
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|
| 122 |
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|
| 123 |
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| 124 |
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|
| 125 |
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| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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| 138 |
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|
| 139 |
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| 140 |
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|
| 141 |
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|
| 142 |
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| 143 |
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| 144 |
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| 145 |
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|
| 146 |
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| 147 |
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| 148 |
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| 149 |
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|
| 150 |
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| 151 |
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| 152 |
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| 153 |
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| 154 |
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| 155 |
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| 156 |
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| 158 |
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| 160 |
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| 161 |
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| 162 |
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|
| 163 |
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|
| 164 |
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| 165 |
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| 166 |
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| 167 |
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|
| 168 |
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|
| 169 |
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| 170 |
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| 171 |
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| 172 |
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| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 178 |
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| 179 |
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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| 184 |
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| 185 |
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| 186 |
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| 187 |
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| 188 |
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| 190 |
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| 191 |
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| 192 |
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| 194 |
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| 196 |
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| 197 |
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| 935 |
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| 936 |
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| 937 |
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| 938 |
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| 939 |
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|
| 940 |
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|
| 941 |
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|
| 942 |
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|
| 943 |
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|
| 944 |
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| 945 |
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|
| 946 |
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|
| 947 |
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|
| 948 |
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|
| 949 |
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|
| 950 |
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|
| 951 |
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|
| 952 |
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|
| 953 |
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|
| 954 |
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|
| 955 |
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|
| 956 |
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|
| 957 |
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|
| 958 |
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|
| 959 |
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|
| 960 |
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|
| 961 |
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|
| 962 |
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|
| 963 |
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|
| 964 |
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|
| 965 |
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|
| 966 |
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|
| 967 |
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|
| 968 |
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|
| 969 |
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|
| 970 |
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|
| 971 |
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|
| 972 |
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|
| 973 |
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|
| 974 |
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|
| 975 |
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|
| 976 |
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|
| 977 |
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|
| 978 |
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| 979 |
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|
| 980 |
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|
| 981 |
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|
data/vals_ai/google/gemini-1.5-flash-002/cc897d5a-8e51-44bf-9168-295f14d0441e.json
ADDED
|
@@ -0,0 +1,99 @@
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|
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|
|
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|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
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| 2 |
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| 3 |
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| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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| 32 |
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| 33 |
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|
| 34 |
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|
| 35 |
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| 36 |
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|
| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 47 |
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| 48 |
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| 49 |
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| 56 |
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| 58 |
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| 65 |
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| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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| 81 |
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| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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| 86 |
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|
| 87 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 94 |
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| 95 |
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| 96 |
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|
| 97 |
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| 98 |
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|
| 99 |
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|
data/vals_ai/google/gemini-1.5-flash-002/cf64e7b2-4191-4cda-a512-d390c13e95ad.json
ADDED
|
@@ -0,0 +1,276 @@
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
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|
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|
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|
|
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|
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|
|
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|
|
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|
|
|
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|
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|
|
|
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|
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|
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|
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|
|
|
|
|
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|
|
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|
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|
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|
|
|
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|
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|
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|
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|
|
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|
|
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|
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|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"schema_version": "0.2.2",
|
| 3 |
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"evaluation_id": "vals-ai/corp_fin_v2/google_gemini-1.5-flash-002/1782816293.6170497",
|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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|
| 17 |
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| 18 |
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| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
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|
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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{
|
| 36 |
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|
| 37 |
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|
| 38 |
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|
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| 40 |
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| 43 |
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| 52 |
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|
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|
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|
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data/vals_ai/google/gemini-1.5-pro-002/2dbb783e-4ecd-4ad7-add3-110603e2779c.json
ADDED
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@@ -0,0 +1,99 @@
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| 1 |
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|
data/vals_ai/google/gemini-1.5-pro-002/4ccf5801-d3a4-4a03-842f-032e250a68c8.json
ADDED
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@@ -0,0 +1,408 @@
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|
| 1 |
+
{
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| 2 |
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| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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| 21 |
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| 22 |
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|
| 23 |
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| 24 |
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|
| 25 |
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|
| 26 |
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"name": "gemini-1.5-pro-002",
|
| 27 |
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"id": "google/gemini-1.5-pro-002",
|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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| 33 |
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| 34 |
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|
| 35 |
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{
|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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"url": [
|
| 42 |
+
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 64 |
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| 65 |
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|
| 69 |
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| 70 |
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| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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| 77 |
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|
| 78 |
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| 80 |
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| 81 |
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|
| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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|
| 98 |
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| 99 |
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| 100 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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|
| 105 |
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| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 110 |
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|
| 111 |
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| 112 |
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| 113 |
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| 114 |
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| 115 |
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| 116 |
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| 117 |
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|
| 118 |
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| 119 |
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| 120 |
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|
| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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| 135 |
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|
| 136 |
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| 137 |
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| 138 |
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| 139 |
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| 142 |
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| 143 |
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| 144 |
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| 146 |
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| 148 |
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| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 153 |
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| 154 |
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| 158 |
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| 159 |
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|
| 160 |
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| 161 |
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| 162 |
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| 163 |
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| 164 |
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| 165 |
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| 166 |
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| 167 |
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| 168 |
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| 169 |
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| 170 |
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| 171 |
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| 172 |
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| 173 |
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| 176 |
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| 179 |
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| 180 |
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| 183 |
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| 186 |
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| 188 |
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| 190 |
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| 196 |
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| 197 |
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| 198 |
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| 199 |
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| 200 |
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| 201 |
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| 202 |
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