Commit ·
0a163e7
1
Parent(s): acd78a0
Automated Adapter Data Update (#20)
Browse files- Automated data update (2026-07-12) (61d2b66ed3317ad8d44e8003b1e3d6c735de52a4)
This view is limited to 50 files because it contains too many changes. See raw diff
- data/adapter_stats.json +66 -38
- data/global-mmlu-lite/alibaba/qwen3-235b-a22b-instruct-2507/9b88ab5b-4963-4ab9-a381-b2ed8d4c17b5.json +522 -0
- data/global-mmlu-lite/anthropic/claude-3-5-haiku-20241022/d180f6bf-a455-4741-915f-cd3105b194ac.json +522 -0
- data/global-mmlu-lite/anthropic/claude-3-7-sonnet-20250219/2f5ce580-87fa-4e08-85e1-958db01a560b.json +522 -0
- data/global-mmlu-lite/anthropic/claude-opus-4-1-20250805/dff6ca0e-03eb-4fb6-8096-5ccfeb5b66ae.json +522 -0
- data/global-mmlu-lite/anthropic/claude-opus-4-8-default/e18bd0fb-8f2c-4016-aafb-6ff1e6fc5a55.json +522 -0
- data/global-mmlu-lite/anthropic/claude-sonnet-4-20250514/e2bf6d75-370d-47e0-b027-8b1bd88b4190.json +522 -0
- data/global-mmlu-lite/cohere/aya-expanse-32b/c8256802-cef0-441a-8188-b4fd9a447893.json +522 -0
- data/global-mmlu-lite/cohere/command-a-03-2025/dc57aed9-944f-4d35-b965-9a800afe812a.json +522 -0
- data/global-mmlu-lite/deepseek/deepseek-r1-0528/065c6aa2-454e-4ced-acc9-97bd5d492239.json +522 -0
- data/global-mmlu-lite/deepseek/deepseek-v3.1/82ae1a6a-0f6b-4cd2-8196-dc422a8aeaac.json +519 -0
- data/global-mmlu-lite/google/gemini-2.5-flash-preview-05-20/3355a584-4bcb-449d-ad27-27ab51bb37d8.json +522 -0
- data/global-mmlu-lite/google/gemini-2.5-flash/92f2b2f7-24b1-45cc-b607-0f6b68a5958f.json +522 -0
- data/global-mmlu-lite/google/gemini-2.5-pro/cf06df61-6d21-4f86-83a1-41eeae596e48.json +522 -0
- data/global-mmlu-lite/google/gemini-3-pro-preview/f4639a49-e254-4dc2-906b-d9466457e7c6.json +522 -0
- data/global-mmlu-lite/google/gemini-3.5-flash/8a9501d2-68fa-40d0-8684-4a66ab5c5da8.json +522 -0
- data/global-mmlu-lite/google/gemma-3-27b-it/827e6301-a7cd-44af-b981-41d13580fc4b.json +522 -0
- data/global-mmlu-lite/google/gemma-3-4b-it/3d4a62a8-a402-49a2-bb72-88d7d0eb342b.json +522 -0
- data/global-mmlu-lite/google/gemma-4-26b-a4b-it/ab04e613-6e9c-4682-9723-132b46ed0738.json +522 -0
- data/global-mmlu-lite/google/gemma-4-31b-it/2dc4844b-2ada-42a7-9d46-197b50359bc7.json +522 -0
- data/global-mmlu-lite/ibm/granite-4.0-h-small/ec935f95-9930-4f99-ac8d-03de3c244dda.json +522 -0
- data/global-mmlu-lite/mistralai/mistral-medium-3/6a672cfa-d357-45cb-9ab9-16d5346fcab0.json +522 -0
- data/global-mmlu-lite/mistralai/mistral-small-2503/653eafbb-5405-4b59-a20b-0adcdfa0c561.json +522 -0
- data/global-mmlu-lite/openai/gpt-4.1-2025-04-14/283f51d5-7745-438b-9f70-792740176eba.json +522 -0
- data/global-mmlu-lite/openai/gpt-5-2025-08-07/51afecd5-44e4-4056-bdc2-29b29d8a3cb5.json +522 -0
- data/global-mmlu-lite/openai/o3-mini-2025-01-31/68ebbee4-6e28-467f-aca7-12dda3321470.json +522 -0
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- data/global-mmlu-lite/xai/grok-3-mini/a8bb2b5c-5f6f-42db-8c66-f9eb894f99c0.json +522 -0
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- data/rewardbench/0-hero/Matter-0.1-7B-DPO-preview/2fbdc84a-0777-4e21-9143-cb2d9c75cc20.json +134 -0
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- data/rewardbench/Anthropic/claude-3-5-sonnet-20240620/25fcb524-3e9b-4d97-b84d-01986b127c6c.json +116 -0
- data/rewardbench/Anthropic/claude-3-haiku-20240307/9421228b-a52b-4b36-a28b-2ad49f2dd5cb.json +134 -0
- data/rewardbench/Anthropic/claude-3-opus-20240229/6595e39a-1c58-424f-acc5-c6bff657bc39.json +116 -0
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- data/rewardbench/AtlaAI/Selene-1-Mini-Llama-3.1-8B/d1f55fa2-64ba-481d-9bff-f82a6dd0ca45.json +116 -0
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- data/rewardbench/CIR-AMS/BTRM_Qwen2_7b_0613/216e0174-bab4-40ee-9871-1be675d27445.json +152 -0
- data/rewardbench/CIR-AMS/BTRM_Qwen2_7b_0613/3c1e3213-e5ac-47b5-b54a-8d1cbab56e01.json +134 -0
- data/rewardbench/CohereForAI/c4ai-command-r-plus/1468c630-4d3a-42b4-b215-c6a457e9d452.json +134 -0
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- data/rewardbench/ContextualAI/archangel_sft-dpo_pythia2-8b/7594c6a6-43af-49e5-a2b0-f41448c2e273.json +134 -0
data/adapter_stats.json
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| 1 |
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| 18 |
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|
| 19 |
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|
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data/global-mmlu-lite/anthropic/claude-3-5-haiku-20241022/d180f6bf-a455-4741-915f-cd3105b194ac.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
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{
|
| 2 |
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|
| 3 |
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"evaluation_id": "global-mmlu-lite/anthropic_claude-3-5-haiku-20241022/1783820827.6963763",
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| 4 |
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"retrieved_timestamp": "1783820827.6963763",
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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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|
| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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|
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|
| 17 |
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|
| 18 |
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|
| 19 |
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"model_info": {
|
| 20 |
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"name": "claude-3-5-haiku-20241022",
|
| 21 |
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"id": "anthropic/claude-3-5-haiku-20241022",
|
| 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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"evaluation_results": [
|
| 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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"url": [
|
| 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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| 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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"evaluation_name": "Culturally Sensitive",
|
| 51 |
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"source_data": {
|
| 52 |
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"dataset_name": "global-mmlu-lite",
|
| 53 |
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"source_type": "url",
|
| 54 |
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"url": [
|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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"metric_config": {
|
| 59 |
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"evaluation_description": "Global MMLU Lite - Culturally Sensitive",
|
| 60 |
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"lower_is_better": false,
|
| 61 |
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"score_type": "continuous",
|
| 62 |
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"min_score": 0.0,
|
| 63 |
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|
| 64 |
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|
| 65 |
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"score_details": {
|
| 66 |
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"score": 0.5834
|
| 67 |
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|
| 68 |
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},
|
| 69 |
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{
|
| 70 |
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"evaluation_name": "Culturally Agnostic",
|
| 71 |
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"source_data": {
|
| 72 |
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"dataset_name": "global-mmlu-lite",
|
| 73 |
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"source_type": "url",
|
| 74 |
+
"url": [
|
| 75 |
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"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 76 |
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|
| 491 |
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|
| 492 |
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|
| 493 |
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|
| 494 |
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{
|
| 495 |
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|
| 496 |
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|
| 497 |
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|
| 498 |
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|
| 499 |
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|
| 500 |
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|
| 501 |
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|
| 502 |
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|
| 503 |
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|
| 504 |
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| 505 |
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| 506 |
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| 507 |
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| 508 |
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| 509 |
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| 510 |
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| 511 |
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| 513 |
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| 514 |
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| 520 |
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|
| 521 |
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|
| 522 |
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|
data/global-mmlu-lite/anthropic/claude-3-7-sonnet-20250219/2f5ce580-87fa-4e08-85e1-958db01a560b.json
ADDED
|
@@ -0,0 +1,522 @@
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| 1 |
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{
|
| 2 |
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"schema_version": "0.2.2",
|
| 3 |
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"evaluation_id": "global-mmlu-lite/anthropic_claude-3-7-sonnet-20250219/1783820827.6963763",
|
| 4 |
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"retrieved_timestamp": "1783820827.6963763",
|
| 5 |
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"source_metadata": {
|
| 6 |
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"source_name": "Global MMLU Lite Leaderboard",
|
| 7 |
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"source_type": "documentation",
|
| 8 |
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"source_organization_name": "kaggle",
|
| 9 |
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"source_organization_url": "www.kaggle.com",
|
| 10 |
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"evaluator_relationship": "third_party"
|
| 11 |
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|
| 12 |
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|
| 13 |
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"name": "kaggle kernel",
|
| 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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"model_info": {
|
| 20 |
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"name": "claude-3-7-sonnet-20250219",
|
| 21 |
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"id": "anthropic/claude-3-7-sonnet-20250219",
|
| 22 |
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"developer": "anthropic",
|
| 23 |
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"inference_platform": "unknown",
|
| 24 |
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"additional_details": {
|
| 25 |
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"display_name": "Claude 3.7 Sonnet"
|
| 26 |
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|
| 27 |
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},
|
| 28 |
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"evaluation_results": [
|
| 29 |
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{
|
| 30 |
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"evaluation_name": "Average",
|
| 31 |
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"source_data": {
|
| 32 |
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"dataset_name": "global-mmlu-lite",
|
| 33 |
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|
| 34 |
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"url": [
|
| 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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"evaluation_name": "Culturally Sensitive",
|
| 51 |
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|
| 52 |
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"dataset_name": "global-mmlu-lite",
|
| 53 |
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"source_type": "url",
|
| 54 |
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"url": [
|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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"metric_config": {
|
| 59 |
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|
| 60 |
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|
| 61 |
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"score_type": "continuous",
|
| 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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"evaluation_name": "Culturally Agnostic",
|
| 71 |
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"source_data": {
|
| 72 |
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"dataset_name": "global-mmlu-lite",
|
| 73 |
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"source_type": "url",
|
| 74 |
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"url": [
|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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"metric_config": {
|
| 79 |
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"evaluation_description": "Global MMLU Lite - Culturally Agnostic",
|
| 80 |
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|
| 81 |
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"score_type": "continuous",
|
| 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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"evaluation_name": "Arabic",
|
| 91 |
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"source_data": {
|
| 92 |
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"dataset_name": "global-mmlu-lite",
|
| 93 |
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"source_type": "url",
|
| 94 |
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"url": [
|
| 95 |
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"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 96 |
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|
| 97 |
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|
| 98 |
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"metric_config": {
|
| 99 |
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"evaluation_description": "Global MMLU Lite - Arabic",
|
| 100 |
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|
| 101 |
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"score_type": "continuous",
|
| 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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"score": 0.7925,
|
| 107 |
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"uncertainty": {
|
| 108 |
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"confidence_interval": {
|
| 109 |
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"lower": -0.0397,
|
| 110 |
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|
| 111 |
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"method": "unknown"
|
| 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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"evaluation_name": "English",
|
| 118 |
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"source_data": {
|
| 119 |
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"dataset_name": "global-mmlu-lite",
|
| 120 |
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"source_type": "url",
|
| 121 |
+
"url": [
|
| 122 |
+
"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 123 |
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|
| 124 |
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|
| 125 |
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"metric_config": {
|
| 126 |
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"evaluation_description": "Global MMLU Lite - English",
|
| 127 |
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|
| 128 |
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"score_type": "continuous",
|
| 129 |
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"min_score": 0.0,
|
| 130 |
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"max_score": 1.0
|
| 131 |
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|
| 132 |
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data/global-mmlu-lite/anthropic/claude-opus-4-1-20250805/dff6ca0e-03eb-4fb6-8096-5ccfeb5b66ae.json
ADDED
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@@ -0,0 +1,522 @@
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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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| 11 |
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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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| 34 |
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| 43 |
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| 45 |
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| 46 |
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| 47 |
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|
| 48 |
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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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| 60 |
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| 61 |
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| 62 |
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| 74 |
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| 91 |
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| 92 |
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| 115 |
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| 117 |
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| 119 |
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| 121 |
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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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| 175 |
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data/global-mmlu-lite/anthropic/claude-opus-4-8-default/e18bd0fb-8f2c-4016-aafb-6ff1e6fc5a55.json
ADDED
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@@ -0,0 +1,522 @@
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|
| 1 |
+
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|
| 2 |
+
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|
| 3 |
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"evaluation_id": "global-mmlu-lite/anthropic_claude-opus-4-8-default/1783820827.6963763",
|
| 4 |
+
"retrieved_timestamp": "1783820827.6963763",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "Global MMLU Lite Leaderboard",
|
| 7 |
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|
| 8 |
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"source_organization_name": "kaggle",
|
| 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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"url": "https://www.kaggle.com/code/shivalikasingh95/global-mmlu-lite-sample-notebook"
|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
+
"name": "claude-opus-4-8-default",
|
| 21 |
+
"id": "anthropic/claude-opus-4-8-default",
|
| 22 |
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|
| 23 |
+
"inference_platform": "unknown",
|
| 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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"evaluation_name": "Average",
|
| 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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"score": 0.9485
|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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"evaluation_name": "Culturally Sensitive",
|
| 51 |
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|
| 52 |
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"dataset_name": "global-mmlu-lite",
|
| 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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"evaluation_description": "Global MMLU Lite - Culturally Sensitive",
|
| 60 |
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|
| 61 |
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"score_type": "continuous",
|
| 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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|
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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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|
| 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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"evaluation_name": "English",
|
| 118 |
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|
| 119 |
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"dataset_name": "global-mmlu-lite",
|
| 120 |
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"source_type": "url",
|
| 121 |
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"url": [
|
| 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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"lower": -0.0223,
|
| 137 |
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"upper": 0.0223,
|
| 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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| 153 |
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| 154 |
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| 155 |
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| 156 |
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| 159 |
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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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|
| 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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| 219 |
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| 223 |
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| 224 |
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| 229 |
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| 231 |
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| 234 |
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| 235 |
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| 236 |
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| 237 |
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data/global-mmlu-lite/anthropic/claude-sonnet-4-20250514/e2bf6d75-370d-47e0-b027-8b1bd88b4190.json
ADDED
|
@@ -0,0 +1,522 @@
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| 1 |
+
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|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "global-mmlu-lite/anthropic_claude-sonnet-4-20250514/1783820827.6963763",
|
| 4 |
+
"retrieved_timestamp": "1783820827.6963763",
|
| 5 |
+
"source_metadata": {
|
| 6 |
+
"source_name": "Global MMLU Lite Leaderboard",
|
| 7 |
+
"source_type": "documentation",
|
| 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 |
+
"name": "claude-sonnet-4-20250514",
|
| 21 |
+
"id": "anthropic/claude-sonnet-4-20250514",
|
| 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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| 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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| 71 |
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| 72 |
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| 73 |
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| 74 |
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|
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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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| 100 |
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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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| 135 |
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| 139 |
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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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|
| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 181 |
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| 183 |
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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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| 202 |
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| 304 |
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| 305 |
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| 306 |
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| 307 |
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| 308 |
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| 309 |
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|
| 310 |
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| 311 |
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| 312 |
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| 313 |
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| 314 |
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| 335 |
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| 336 |
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| 337 |
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| 338 |
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| 522 |
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|
data/global-mmlu-lite/cohere/aya-expanse-32b/c8256802-cef0-441a-8188-b4fd9a447893.json
ADDED
|
@@ -0,0 +1,522 @@
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| 364 |
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|
data/global-mmlu-lite/cohere/command-a-03-2025/dc57aed9-944f-4d35-b965-9a800afe812a.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "global-mmlu-lite/cohere_command-a-03-2025/1783820827.6963763",
|
| 4 |
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"retrieved_timestamp": "1783820827.6963763",
|
| 5 |
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"source_metadata": {
|
| 6 |
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"source_name": "Global MMLU Lite Leaderboard",
|
| 7 |
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"source_type": "documentation",
|
| 8 |
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"source_organization_name": "kaggle",
|
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|
data/global-mmlu-lite/deepseek/deepseek-r1-0528/065c6aa2-454e-4ced-acc9-97bd5d492239.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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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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| 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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| 48 |
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| 49 |
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{
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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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|
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| 477 |
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| 478 |
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| 479 |
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| 484 |
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| 490 |
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| 495 |
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| 496 |
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| 497 |
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| 498 |
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| 499 |
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| 503 |
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|
data/global-mmlu-lite/deepseek/deepseek-v3.1/82ae1a6a-0f6b-4cd2-8196-dc422a8aeaac.json
ADDED
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@@ -0,0 +1,519 @@
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| 1 |
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{
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| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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| 8 |
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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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| 42 |
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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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| 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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| 76 |
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|
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| 84 |
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| 85 |
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| 86 |
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{
|
| 87 |
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"evaluation_name": "Arabic",
|
| 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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|
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| 96 |
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| 97 |
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|
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|
| 99 |
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|
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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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|
| 112 |
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| 113 |
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{
|
| 114 |
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"evaluation_name": "English",
|
| 115 |
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"source_data": {
|
| 116 |
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"dataset_name": "global-mmlu-lite",
|
| 117 |
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"source_type": "url",
|
| 118 |
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"url": [
|
| 119 |
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"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 120 |
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|
| 121 |
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data/global-mmlu-lite/google/gemini-2.5-flash-preview-05-20/3355a584-4bcb-449d-ad27-27ab51bb37d8.json
ADDED
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@@ -0,0 +1,522 @@
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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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"name": "gemini-2.5-flash-preview-05-20",
|
| 21 |
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"id": "google/gemini-2.5-flash-preview-05-20",
|
| 22 |
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|
| 23 |
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"inference_platform": "unknown",
|
| 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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"evaluation_name": "Average",
|
| 31 |
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|
| 32 |
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"dataset_name": "global-mmlu-lite",
|
| 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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"dataset_name": "global-mmlu-lite",
|
| 53 |
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"source_type": "url",
|
| 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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|
| 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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"lower": -0.0262,
|
| 137 |
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"upper": 0.0262,
|
| 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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| 153 |
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|
| 154 |
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| 155 |
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|
| 156 |
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|
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| 159 |
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|
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| 162 |
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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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|
data/global-mmlu-lite/google/gemini-2.5-flash/92f2b2f7-24b1-45cc-b607-0f6b68a5958f.json
ADDED
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@@ -0,0 +1,522 @@
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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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| 13 |
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| 14 |
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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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| 36 |
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| 38 |
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| 39 |
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| 40 |
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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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| 60 |
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| 61 |
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| 62 |
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| 73 |
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| 114 |
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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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| 127 |
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| 129 |
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| 136 |
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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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| 197 |
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| 198 |
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| 202 |
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| 203 |
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|
data/global-mmlu-lite/google/gemini-2.5-pro/cf06df61-6d21-4f86-83a1-41eeae596e48.json
ADDED
|
@@ -0,0 +1,522 @@
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| 1 |
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| 2 |
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|
data/global-mmlu-lite/google/gemini-3-pro-preview/f4639a49-e254-4dc2-906b-d9466457e7c6.json
ADDED
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@@ -0,0 +1,522 @@
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|
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|
data/global-mmlu-lite/google/gemini-3.5-flash/8a9501d2-68fa-40d0-8684-4a66ab5c5da8.json
ADDED
|
@@ -0,0 +1,522 @@
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "global-mmlu-lite/google_gemini-3.5-flash/1783820827.6963763",
|
| 4 |
+
"retrieved_timestamp": "1783820827.6963763",
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| 415 |
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| 416 |
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| 417 |
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| 419 |
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|
data/global-mmlu-lite/google/gemma-3-27b-it/827e6301-a7cd-44af-b981-41d13580fc4b.json
ADDED
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@@ -0,0 +1,522 @@
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|
| 1 |
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{
|
| 2 |
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"schema_version": "0.2.2",
|
| 3 |
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"evaluation_id": "global-mmlu-lite/google_gemma-3-27b-it/1783820827.6963763",
|
| 4 |
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"retrieved_timestamp": "1783820827.6963763",
|
| 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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"model_info": {
|
| 20 |
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"name": "gemma-3-27b-it",
|
| 21 |
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"id": "google/gemma-3-27b-it",
|
| 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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"evaluation_results": [
|
| 29 |
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{
|
| 30 |
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"evaluation_name": "Average",
|
| 31 |
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"source_data": {
|
| 32 |
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"dataset_name": "global-mmlu-lite",
|
| 33 |
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|
| 34 |
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"url": [
|
| 35 |
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|
| 36 |
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]
|
| 37 |
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},
|
| 38 |
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"metric_config": {
|
| 39 |
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"evaluation_description": "Global MMLU Lite - Average",
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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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"evaluation_name": "Culturally Sensitive",
|
| 51 |
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"source_data": {
|
| 52 |
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"dataset_name": "global-mmlu-lite",
|
| 53 |
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"source_type": "url",
|
| 54 |
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"url": [
|
| 55 |
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"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 56 |
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]
|
| 57 |
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|
| 58 |
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| 472 |
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| 473 |
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| 474 |
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|
| 475 |
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| 476 |
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| 477 |
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| 478 |
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| 479 |
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| 480 |
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| 484 |
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| 494 |
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|
| 495 |
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| 496 |
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| 497 |
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| 498 |
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| 499 |
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|
| 500 |
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|
| 502 |
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| 503 |
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| 504 |
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|
data/global-mmlu-lite/google/gemma-3-4b-it/3d4a62a8-a402-49a2-bb72-88d7d0eb342b.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
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{
|
| 2 |
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"schema_version": "0.2.2",
|
| 3 |
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"evaluation_id": "global-mmlu-lite/google_gemma-3-4b-it/1783820827.6963763",
|
| 4 |
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"retrieved_timestamp": "1783820827.6963763",
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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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"model_info": {
|
| 20 |
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|
| 21 |
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"id": "google/gemma-3-4b-it",
|
| 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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|
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| 38 |
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| 39 |
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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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"metric_config": {
|
| 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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"score": 0.6116
|
| 67 |
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|
| 68 |
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|
| 69 |
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{
|
| 70 |
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"evaluation_name": "Culturally Agnostic",
|
| 71 |
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"source_data": {
|
| 72 |
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"dataset_name": "global-mmlu-lite",
|
| 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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"metric_config": {
|
| 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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"evaluation_name": "Arabic",
|
| 91 |
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"source_data": {
|
| 92 |
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"dataset_name": "global-mmlu-lite",
|
| 93 |
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"source_type": "url",
|
| 94 |
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"url": [
|
| 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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"score": 0.6525,
|
| 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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|
data/global-mmlu-lite/google/gemma-4-26b-a4b-it/ab04e613-6e9c-4682-9723-132b46ed0738.json
ADDED
|
@@ -0,0 +1,522 @@
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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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|
| 9 |
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|
| 11 |
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| 13 |
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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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"name": "gemma-4-26b-a4b-it",
|
| 21 |
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"id": "google/gemma-4-26b-a4b-it",
|
| 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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|
| 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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|
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|
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| 78 |
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| 82 |
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| 83 |
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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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| 101 |
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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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| 121 |
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| 122 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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| 132 |
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|
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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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| 153 |
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| 154 |
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data/global-mmlu-lite/google/gemma-4-31b-it/2dc4844b-2ada-42a7-9d46-197b50359bc7.json
ADDED
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@@ -0,0 +1,522 @@
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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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| 11 |
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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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| 33 |
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| 34 |
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| 38 |
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| 39 |
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| 45 |
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| 46 |
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| 48 |
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| 49 |
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| 50 |
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| 53 |
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| 54 |
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| 62 |
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| 119 |
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| 121 |
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| 139 |
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| 142 |
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| 143 |
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| 146 |
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data/global-mmlu-lite/ibm/granite-4.0-h-small/ec935f95-9930-4f99-ac8d-03de3c244dda.json
ADDED
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@@ -0,0 +1,522 @@
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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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"source_metadata": {
|
| 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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| 13 |
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| 14 |
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| 15 |
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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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| 33 |
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| 34 |
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| 40 |
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| 46 |
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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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| 62 |
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| 93 |
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| 94 |
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| 116 |
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| 119 |
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| 122 |
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| 142 |
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| 143 |
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| 144 |
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| 175 |
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| 198 |
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| 199 |
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| 202 |
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|
data/global-mmlu-lite/mistralai/mistral-medium-3/6a672cfa-d357-45cb-9ab9-16d5346fcab0.json
ADDED
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@@ -0,0 +1,522 @@
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|
data/global-mmlu-lite/mistralai/mistral-small-2503/653eafbb-5405-4b59-a20b-0adcdfa0c561.json
ADDED
|
@@ -0,0 +1,522 @@
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|
data/global-mmlu-lite/openai/gpt-4.1-2025-04-14/283f51d5-7745-438b-9f70-792740176eba.json
ADDED
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@@ -0,0 +1,522 @@
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
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"evaluation_id": "global-mmlu-lite/openai_gpt-4.1-2025-04-14/1783820827.6963763",
|
| 4 |
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"retrieved_timestamp": "1783820827.6963763",
|
| 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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"model_info": {
|
| 20 |
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"name": "gpt-4.1-2025-04-14",
|
| 21 |
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"id": "openai/gpt-4.1-2025-04-14",
|
| 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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"evaluation_results": [
|
| 29 |
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{
|
| 30 |
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"evaluation_name": "Average",
|
| 31 |
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"source_data": {
|
| 32 |
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"dataset_name": "global-mmlu-lite",
|
| 33 |
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|
| 34 |
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"url": [
|
| 35 |
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"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 36 |
+
]
|
| 37 |
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},
|
| 38 |
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"metric_config": {
|
| 39 |
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"evaluation_description": "Global MMLU Lite - Average",
|
| 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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| 476 |
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| 495 |
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| 497 |
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| 498 |
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|
data/global-mmlu-lite/openai/gpt-5-2025-08-07/51afecd5-44e4-4056-bdc2-29b29d8a3cb5.json
ADDED
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@@ -0,0 +1,522 @@
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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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| 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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| 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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|
| 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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|
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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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|
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|
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| 65 |
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| 66 |
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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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| 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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"method": "unknown"
|
| 517 |
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}
|
| 518 |
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}
|
| 519 |
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}
|
| 520 |
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}
|
| 521 |
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]
|
| 522 |
+
}
|
data/global-mmlu-lite/openai/o3-mini-2025-01-31/68ebbee4-6e28-467f-aca7-12dda3321470.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
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{
|
| 2 |
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"schema_version": "0.2.2",
|
| 3 |
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"evaluation_id": "global-mmlu-lite/openai_o3-mini-2025-01-31/1783820827.6963763",
|
| 4 |
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| 5 |
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"source_metadata": {
|
| 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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"model_info": {
|
| 20 |
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"name": "o3-mini-2025-01-31",
|
| 21 |
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"id": "openai/o3-mini-2025-01-31",
|
| 22 |
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"developer": "openai",
|
| 23 |
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|
| 24 |
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"additional_details": {
|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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"evaluation_results": [
|
| 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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| 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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"evaluation_name": "Culturally Sensitive",
|
| 51 |
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"source_data": {
|
| 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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| 106 |
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|
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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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"evaluation_name": "English",
|
| 118 |
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"source_data": {
|
| 119 |
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"dataset_name": "global-mmlu-lite",
|
| 120 |
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"source_type": "url",
|
| 121 |
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"url": [
|
| 122 |
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"https://www.kaggle.com/datasets/cohere-labs/global-mmlu-lite"
|
| 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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"min_score": 0.0,
|
| 130 |
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|
| 131 |
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|
| 132 |
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"score_details": {
|
| 133 |
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"score": 0.8025,
|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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"upper": 0.039,
|
| 138 |
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"method": "unknown"
|
| 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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"evaluation_name": "Bengali",
|
| 145 |
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"source_data": {
|
| 146 |
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"dataset_name": "global-mmlu-lite",
|
| 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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data/global-mmlu-lite/openai/o4-mini-2025-04-16/350a7b7c-fb17-42b6-8c16-1c220f2863c0.json
ADDED
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@@ -0,0 +1,522 @@
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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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| 11 |
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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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|
| 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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| 39 |
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| 42 |
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| 45 |
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| 46 |
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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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| 62 |
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| 73 |
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| 94 |
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| 116 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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|
data/global-mmlu-lite/xai/grok-3-mini/a8bb2b5c-5f6f-42db-8c66-f9eb894f99c0.json
ADDED
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@@ -0,0 +1,522 @@
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| 1 |
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data/global-mmlu-lite/xai/grok-4-0709/b6665653-b52f-43d5-9d63-c7a574d1ff9c.json
ADDED
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@@ -0,0 +1,522 @@
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| 336 |
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| 337 |
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|
| 338 |
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data/rewardbench/0-hero/Matter-0.1-7B-DPO-preview/2fbdc84a-0777-4e21-9143-cb2d9c75cc20.json
ADDED
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@@ -0,0 +1,134 @@
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|
data/rewardbench/0-hero/Matter-0.1-7B-boost-DPO-preview/ca0344bb-1c2b-4796-8b85-d326fc89a2aa.json
ADDED
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@@ -0,0 +1,134 @@
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| 1 |
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| 17 |
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| 79 |
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| 80 |
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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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| 108 |
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| 109 |
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| 110 |
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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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| 126 |
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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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|
data/rewardbench/Ahjeong/MMPO_Gemma_7b/66190e14-2862-4f53-8224-f968e4d55732.json
ADDED
|
@@ -0,0 +1,134 @@
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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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| 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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|
| 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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| 22 |
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| 63 |
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| 64 |
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| 65 |
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| 70 |
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| 72 |
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| 74 |
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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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| 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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| 104 |
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|
| 114 |
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| 115 |
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|
| 116 |
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|
| 117 |
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| 127 |
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| 129 |
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| 130 |
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| 134 |
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|
data/rewardbench/Ahjeong/MMPO_Gemma_7b_gamma1.1_epoch3/e96f9bba-8efe-457e-a6b1-4f90b8739f17.json
ADDED
|
@@ -0,0 +1,134 @@
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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 |
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|
| 2 |
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| 3 |
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| 4 |
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| 5 |
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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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| 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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| 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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|
data/rewardbench/Anthropic/claude-3-5-sonnet-20240620/25fcb524-3e9b-4d97-b84d-01986b127c6c.json
ADDED
|
@@ -0,0 +1,116 @@
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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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{
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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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"name": "Anthropic/claude-3-5-sonnet-20240620",
|
| 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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| 33 |
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| 34 |
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| 45 |
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| 49 |
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| 51 |
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| 54 |
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| 55 |
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| 56 |
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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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| 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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|
data/rewardbench/Anthropic/claude-3-haiku-20240307/9421228b-a52b-4b36-a28b-2ad49f2dd5cb.json
ADDED
|
@@ -0,0 +1,134 @@
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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 |
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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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| 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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| 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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| 56 |
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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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|
| 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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|
data/rewardbench/Anthropic/claude-3-opus-20240229/6595e39a-1c58-424f-acc5-c6bff657bc39.json
ADDED
|
@@ -0,0 +1,116 @@
|
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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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|
| 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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"model_info": {
|
| 17 |
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"name": "Anthropic/claude-3-opus-20240229",
|
| 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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| 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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| 48 |
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| 49 |
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| 50 |
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| 51 |
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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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"evaluation_description": "Chat Hard accuracy - includes hard chat subsets",
|
| 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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"evaluation_name": "Reasoning",
|
| 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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|
data/rewardbench/Anthropic/claude-3-sonnet-20240229/473f6ca5-f833-4cec-8395-88172151dfc5.json
ADDED
|
@@ -0,0 +1,134 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
| 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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"evaluation_results": [
|
| 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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| 31 |
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| 90 |
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| 92 |
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|
| 98 |
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| 99 |
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data/rewardbench/AtlaAI/Selene-1-Mini-Llama-3.1-8B/d1f55fa2-64ba-481d-9bff-f82a6dd0ca45.json
ADDED
|
@@ -0,0 +1,116 @@
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| 17 |
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| 99 |
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|
data/rewardbench/AtlaAI/Selene-1/fd470f89-4dc5-4a7c-aa6b-135d05a9aab6.json
ADDED
|
@@ -0,0 +1,116 @@
|
|
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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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| 6 |
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| 8 |
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| 10 |
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| 11 |
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| 15 |
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| 17 |
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|
| 18 |
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| 19 |
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| 61 |
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| 62 |
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|
| 68 |
+
"metric_config": {
|
| 69 |
+
"evaluation_description": "Chat Hard accuracy - includes hard chat subsets",
|
| 70 |
+
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|
| 71 |
+
"score_type": "continuous",
|
| 72 |
+
"min_score": 0.0,
|
| 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 |
+
"evaluation_name": "Safety",
|
| 81 |
+
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|
| 82 |
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|
| 83 |
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|
| 84 |
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"hf_repo": "allenai/reward-bench"
|
| 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 |
+
"score_details": {
|
| 94 |
+
"score": 0.9216
|
| 95 |
+
}
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"evaluation_name": "Reasoning",
|
| 99 |
+
"source_data": {
|
| 100 |
+
"dataset_name": "RewardBench",
|
| 101 |
+
"source_type": "hf_dataset",
|
| 102 |
+
"hf_repo": "allenai/reward-bench"
|
| 103 |
+
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|
| 104 |
+
"metric_config": {
|
| 105 |
+
"evaluation_description": "Reasoning accuracy - includes code and math subsets",
|
| 106 |
+
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|
| 107 |
+
"score_type": "continuous",
|
| 108 |
+
"min_score": 0.0,
|
| 109 |
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"max_score": 1.0
|
| 110 |
+
},
|
| 111 |
+
"score_details": {
|
| 112 |
+
"score": 0.9572
|
| 113 |
+
}
|
| 114 |
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}
|
| 115 |
+
]
|
| 116 |
+
}
|
data/rewardbench/CIR-AMS/BTRM_Qwen2_7b_0613/216e0174-bab4-40ee-9871-1be675d27445.json
ADDED
|
@@ -0,0 +1,152 @@
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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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| 38 |
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| 39 |
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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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|
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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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|
| 69 |
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|
| 70 |
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|
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| 72 |
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|
| 77 |
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|
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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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| 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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|
| 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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|
| 113 |
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|
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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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| 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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|
| 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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|
| 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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|
data/rewardbench/CIR-AMS/BTRM_Qwen2_7b_0613/3c1e3213-e5ac-47b5-b54a-8d1cbab56e01.json
ADDED
|
@@ -0,0 +1,134 @@
|
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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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| 13 |
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| 15 |
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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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| 33 |
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| 39 |
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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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|
| 61 |
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{
|
| 62 |
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"evaluation_name": "Chat Hard",
|
| 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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|
| 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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|
data/rewardbench/CohereForAI/c4ai-command-r-plus/1468c630-4d3a-42b4-b215-c6a457e9d452.json
ADDED
|
@@ -0,0 +1,134 @@
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| 1 |
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| 2 |
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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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| 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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| 29 |
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| 30 |
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| 31 |
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| 63 |
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| 65 |
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| 66 |
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| 72 |
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| 87 |
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| 88 |
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| 90 |
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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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| 103 |
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| 104 |
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| 117 |
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| 118 |
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| 134 |
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|
data/rewardbench/ContextualAI/LMUnit-llama3.1-70b/712e97f2-b937-44fd-a27e-6f080a3091da.json
ADDED
|
@@ -0,0 +1,152 @@
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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 |
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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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| 13 |
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| 17 |
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| 18 |
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| 28 |
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| 29 |
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| 30 |
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| 33 |
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| 42 |
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|
| 44 |
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|
| 45 |
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| 46 |
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| 47 |
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| 49 |
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| 51 |
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|
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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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| 74 |
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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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| 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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| 98 |
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| 99 |
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| 103 |
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| 105 |
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| 106 |
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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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|
data/rewardbench/ContextualAI/LMUnit-qwen2.5-72b/9c657c91-2209-44ca-8bc0-48ec8d7e9bba.json
ADDED
|
@@ -0,0 +1,152 @@
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| 1 |
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| 17 |
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|
| 18 |
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| 19 |
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|
data/rewardbench/ContextualAI/archangel_sft-dpo_llama13b/19e04aeb-d489-48b2-a5ae-2c837f23f686.json
ADDED
|
@@ -0,0 +1,134 @@
|
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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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| 8 |
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| 9 |
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|
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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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| 98 |
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| 99 |
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| 103 |
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| 106 |
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| 116 |
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| 117 |
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| 121 |
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|
data/rewardbench/ContextualAI/archangel_sft-dpo_llama30b/4e7dbb9b-bd79-4e48-8b9a-4a19312e526a.json
ADDED
|
@@ -0,0 +1,134 @@
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|
data/rewardbench/ContextualAI/archangel_sft-dpo_llama7b/2ffd133b-b4c2-4005-8166-42d1012b8397.json
ADDED
|
@@ -0,0 +1,134 @@
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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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| 17 |
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| 20 |
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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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| 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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| 54 |
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| 59 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 67 |
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| 72 |
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| 77 |
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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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| 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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| 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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|
data/rewardbench/ContextualAI/archangel_sft-dpo_pythia1-4b/4a4b751a-ec7a-4d99-a0c2-f008cfc389a1.json
ADDED
|
@@ -0,0 +1,134 @@
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|
| 1 |
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| 2 |
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| 5 |
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| 6 |
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| 8 |
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| 9 |
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| 11 |
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| 17 |
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| 19 |
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| 63 |
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| 85 |
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| 87 |
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| 88 |
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| 90 |
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| 93 |
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| 98 |
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| 99 |
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| 100 |
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| 103 |
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| 116 |
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| 117 |
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| 128 |
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| 132 |
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| 134 |
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|
data/rewardbench/ContextualAI/archangel_sft-dpo_pythia12-0b/48a9c2c0-24f9-467d-9e2d-aabc0a8abdd1.json
ADDED
|
@@ -0,0 +1,134 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
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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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| 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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| 29 |
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| 30 |
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| 31 |
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data/rewardbench/ContextualAI/archangel_sft-dpo_pythia2-8b/7594c6a6-43af-49e5-a2b0-f41448c2e273.json
ADDED
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@@ -0,0 +1,134 @@
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