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SAGE OSS Evaluator
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Commit
·
7844386
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Parent(s):
6de8820
update
Browse files- initial_sage_results.json +0 -446
- initial_sage_results.json.backup_20250906_233132 +0 -320
- initial_sage_results.json.backup_20250906_233407 +0 -341
- initial_sage_results.json.backup_20250906_233650 +0 -362
- initial_sage_results.json.backup_20250907_010121 +0 -383
- src/oss/__init__.py +9 -1
- src/oss/oss_file_manager.py +56 -0
- src/oss/oss_file_manager_old.py +0 -517
- src/oss/oss_file_manager_simple.py +0 -254
- src/oss/oss_leaderboard_manager.py +263 -0
- src/populate.py +43 -8
- submissions/submission_aaa_20250905_094557.json +0 -81
- submissions/submission_aaa_20250905_094707.json +0 -81
initial_sage_results.json
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[
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{
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"model_name": "SDLab",
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"organization": "SDLab",
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"tokens": "User Submission",
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"accuracy": 100.0,
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"mg_pass_2": 100.0,
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"mg_pass_4": 100.0,
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"submitted_time": "2025-09-08",
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"results": {
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"sage_mathematics": 100.0,
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"sage_physics": 100.0,
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"sage_chemistry": 100.0,
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"sage_biology": 100.0,
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"sage_earth_science": 0.0,
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"sage_astronomy": 0.0,
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"sage_overall": 100.0
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},
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"contact_email": "nlp2ct.shudong@gmail.com",
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"evaluation_timestamp": "2025-09-08T15:36:55.044438",
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"result_file": "results/result_SDLab_20250908_153727.json"
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},
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{
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"model_name": "SH AI Lab",
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"organization": "SH AI Lab",
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"tokens": "User Submission",
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"accuracy": 100.0,
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"mg_pass_2": 100.0,
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"mg_pass_4": 100.0,
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"submitted_time": "2025-09-08",
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"results": {
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"sage_mathematics": 100.0,
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"sage_physics": 100.0,
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"sage_chemistry": 100.0,
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"sage_overall": 100.0
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},
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"contact_email": "nlp2ct.shudong@gmail.com",
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"evaluation_timestamp": "2025-09-08T14:57:05.665745",
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"result_file": "results/result_SH_AI_Lab_20250908_145735.json"
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},
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{
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"model_name": "Shanghai AI Lab",
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"organization": "Shanghai AI Lab",
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"tokens": "User Submission",
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"accuracy": 100.0,
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"mg_pass_2": 100.0,
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"mg_pass_4": 100.0,
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"submitted_time": "2025-09-07",
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"results": {
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"sage_mathematics": 100.0,
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"sage_physics": 100.0,
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"sage_chemistry": 100.0,
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"sage_biology": 100.0,
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"sage_earth_science": 0.0,
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"sage_astronomy": 0.0,
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"sage_overall": 100.0
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},
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"contact_email": "nlp2ct.shudong@gmail.com",
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"evaluation_timestamp": "2025-09-07T01:00:50.229124",
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"result_file": "results/result_Shanghai_AI_Lab_20250907_010121.json"
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},
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{
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"model_name": "E2E_Test_Org",
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"organization": "E2E_Test_Org",
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"tokens": "User Submission",
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"accuracy": 100.0,
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"mg_pass_2": 100.0,
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"mg_pass_4": 100.0,
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"submitted_time": "2025-09-06",
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"results": {
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"sage_mathematics": 100.0,
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"sage_chemistry": 100.0,
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"sage_overall": 100.0
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},
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"contact_email": "e2e@test.com",
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"evaluation_timestamp": "2025-09-06T23:34:38.252926",
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"result_file": "results/result_E2E_Test_Org_20250906_233650.json"
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},
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{
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"model_name": "Test_Organization",
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"organization": "Test_Organization",
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"tokens": "User Submission",
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"accuracy": 100.0,
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"mg_pass_2": 100.0,
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"mg_pass_4": 100.0,
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"submitted_time": "2025-09-06",
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"results": {
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"sage_mathematics": 100.0,
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"sage_physics": 0.0,
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"sage_chemistry": 100.0,
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"sage_overall": 100.0
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},
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"contact_email": "test@example.com",
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"evaluation_timestamp": "2025-09-06T23:32:03.654608",
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"result_file": "results/result_Test_Organization_20250906_233407.json"
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},
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{
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"model_name": "Test_Organization",
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"organization": "Test_Organization",
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"tokens": "User Submission",
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"accuracy": 100.0,
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"mg_pass_2": 100.0,
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"mg_pass_4": 100.0,
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"submitted_time": "2025-09-06",
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"results": {
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"sage_mathematics": 100.0,
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"sage_physics": 0.0,
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"sage_chemistry": 100.0,
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"sage_overall": 100.0
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},
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"contact_email": "test@example.com",
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"evaluation_timestamp": "2025-09-06T23:29:34.267864",
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"result_file": "results/result_Test_Organization_20250906_233132.json"
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},
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{
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"model_name": "Unknown",
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"organization": "Unknown",
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"tokens": "User Submission",
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"accuracy": 100.0,
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"mg_pass_2": 100.0,
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"mg_pass_4": 100.0,
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"submitted_time": "2025-09-05",
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"results": {
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"sage_mathematics": 100.0,
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"sage_physics": 100.0,
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"sage_chemistry": 100.0,
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"sage_biology": 100.0,
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"sage_overall": 100.0
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},
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"contact_email": "",
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"evaluation_timestamp": "2025-09-05T16:14:32.476871",
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"result_file": "results/result_Demo_Test_Org_20250905_161432.json"
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},
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{
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"model_name": "OpenAI GPT-5-High",
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"organization": "OpenAI",
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"tokens": "64k",
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"accuracy": 45.2,
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"mg_pass_2": 36.6,
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"mg_pass_4": 35.1,
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"submitted_time": "2024-01-15",
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"results": {
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"sage_overall": 45.2,
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"sage_math": 48.5,
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"sage_physics": 44.1,
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"sage_biology": 46.3,
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"sage_astronomy": 45.8
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}
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},
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{
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"model_name": "Gemini-2.5-Pro",
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"organization": "Google",
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"tokens": "64k",
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"accuracy": 40.5,
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"mg_pass_2": 31.2,
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"mg_pass_4": 29.7,
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"submitted_time": "2024-01-14",
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"results": {
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"sage_overall": 40.5,
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}
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},
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{
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"model_name": "OpenAI o3-High",
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"organization": "OpenAI",
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"tokens": "64k",
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"accuracy": 39.6,
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"mg_pass_2": 26.0,
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"mg_pass_4": 27.3,
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"submitted_time": "2024-01-13",
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"results": {
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"sage_overall": 39.6,
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"sage_chemistry": 37.2,
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"sage_biology": 40.8,
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"sage_earth_science": 38.1,
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"sage_astronomy": 40.9
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}
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},
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{
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"model_name": "Gemini-2.5-Pro",
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"organization": "Google",
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"tokens": "32k",
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"accuracy": 39.1,
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"mg_pass_2": 29.4,
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"mg_pass_4": 27.5,
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"submitted_time": "2024-01-12",
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"results": {
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"sage_overall": 39.1,
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"sage_physics": 38.2,
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"sage_chemistry": 36.9,
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"sage_biology": 40.3,
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"sage_earth_science": 37.7,
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"sage_astronomy": 39.7
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}
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},
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{
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"model_name": "OpenAI o3-High",
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"organization": "OpenAI",
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"tokens": "32k",
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"accuracy": 38.5,
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"mg_pass_2": 26.4,
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"mg_pass_4": 24.2,
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"submitted_time": "2024-01-11",
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"results": {
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"sage_overall": 38.5,
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"sage_biology": 39.9,
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"sage_earth_science": 37.3,
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"sage_astronomy": 38.7
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}
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},
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{
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"model_name": "Grok-4",
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"organization": "xAI",
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"tokens": "32k",
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"accuracy": 35.0,
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"mg_pass_2": 26.0,
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"mg_pass_4": 24.1,
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"submitted_time": "2024-01-10",
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"results": {
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"sage_overall": 35.0,
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"sage_math": 37.5,
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"sage_chemistry": 33.1,
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"sage_biology": 36.1,
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"sage_earth_science": 34.8,
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"sage_astronomy": 34.3
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}
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},
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{
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"model_name": "Qwen3-235B-A22B-2507",
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"organization": "Alibaba",
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"tokens": "32k",
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"accuracy": 27.8,
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"mg_pass_2": 19.8,
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"mg_pass_4": 18.1,
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"submitted_time": "2024-01-09",
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"results": {
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"sage_overall": 27.8,
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"sage_math": 29.8,
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"sage_physics": 27.1,
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"sage_chemistry": 26.5,
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"sage_biology": 28.4,
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"sage_earth_science": 27.9,
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"sage_astronomy": 27.1
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}
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},
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{
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"model_name": "Doubao-Seed-1.6-thinking",
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"organization": "ByteDance",
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"tokens": "32k",
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"accuracy": 27.7,
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"mg_pass_4": 16.8,
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"submitted_time": "2024-01-08",
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"results": {
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"sage_chemistry": 26.3,
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"sage_biology": 28.2,
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"sage_astronomy": 27.4
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}
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},
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{
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"model_name": "DeepSeek-V3.1",
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"organization": "DeepSeek",
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"tokens": "64k",
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"accuracy": 27.7,
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"mg_pass_2": 18.3,
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"mg_pass_4": 16.5,
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"submitted_time": "2024-01-07",
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"results": {
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"sage_overall": 27.7,
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"sage_chemistry": 26.2,
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"sage_biology": 28.1,
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"sage_earth_science": 27.6,
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"sage_astronomy": 27.9
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}
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},
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{
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"model_name": "DeepSeek-R1-0528",
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"organization": "DeepSeek",
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"tokens": "32k",
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"accuracy": 26.1,
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"mg_pass_2": 16.0,
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"mg_pass_4": 14.1,
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"submitted_time": "2024-01-06",
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"results": {
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"sage_overall": 26.1,
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"sage_math": 28.0,
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"sage_physics": 25.4,
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"sage_chemistry": 24.8,
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"sage_biology": 26.7,
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"sage_earth_science": 26.2,
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"sage_astronomy": 25.5
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}
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},
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{
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"model_name": "OpenAI o4-mini",
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"organization": "OpenAI",
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"tokens": "32k",
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"accuracy": 23.5,
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"mg_pass_2": 13.7,
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"mg_pass_4": 11.9,
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"submitted_time": "2024-01-05",
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"results": {
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"sage_overall": 23.5,
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"sage_physics": 22.8,
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"sage_chemistry": 22.1,
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"sage_biology": 24.1,
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"sage_earth_science": 23.6,
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"sage_astronomy": 23.2
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}
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},
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{
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"model_name": "Qwen3-235B-A22B",
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"organization": "Alibaba",
|
| 350 |
-
"tokens": "32k",
|
| 351 |
-
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|
| 352 |
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|
| 353 |
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|
| 354 |
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|
| 355 |
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|
| 356 |
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|
| 357 |
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| 358 |
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| 359 |
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| 360 |
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| 361 |
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| 362 |
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| 363 |
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|
| 364 |
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|
| 365 |
-
{
|
| 366 |
-
"model_name": "GLM-4.5-Thinking",
|
| 367 |
-
"organization": "Zhipu AI",
|
| 368 |
-
"tokens": "64k",
|
| 369 |
-
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|
| 370 |
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| 371 |
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| 372 |
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| 373 |
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| 374 |
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| 375 |
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| 376 |
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| 377 |
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| 378 |
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| 379 |
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| 380 |
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| 381 |
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|
| 382 |
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| 383 |
-
{
|
| 384 |
-
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|
| 385 |
-
"organization": "QuickDemo_TestOrg",
|
| 386 |
-
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|
| 387 |
-
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| 388 |
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| 389 |
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| 390 |
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| 391 |
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| 392 |
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| 393 |
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| 394 |
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| 395 |
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| 396 |
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| 397 |
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| 398 |
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| 399 |
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|
| 400 |
-
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|
| 401 |
-
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|
| 402 |
-
"result_file": "results/simulated_result_QuickDemo_TestOrg_20250905_161939.json"
|
| 403 |
-
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|
| 404 |
-
{
|
| 405 |
-
"model_name": "QuickDemo_HighAccuracy",
|
| 406 |
-
"organization": "QuickDemo_HighAccuracy",
|
| 407 |
-
"tokens": "User Submission (Simulated)",
|
| 408 |
-
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| 409 |
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| 410 |
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|
| 411 |
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| 412 |
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"results": {
|
| 413 |
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| 414 |
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| 415 |
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| 416 |
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| 417 |
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| 418 |
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| 419 |
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|
| 420 |
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|
| 421 |
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"contact_email": "high@demo.com",
|
| 422 |
-
"evaluation_timestamp": "2025-09-05T16:19:43.874748",
|
| 423 |
-
"result_file": "results/simulated_result_QuickDemo_HighAccuracy_20250905_161943.json"
|
| 424 |
-
},
|
| 425 |
-
{
|
| 426 |
-
"model_name": "QuickDemo_MediumAccuracy",
|
| 427 |
-
"organization": "QuickDemo_MediumAccuracy",
|
| 428 |
-
"tokens": "User Submission (Simulated)",
|
| 429 |
-
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| 430 |
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|
| 431 |
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|
| 432 |
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"submitted_time": "2025-09-05",
|
| 433 |
-
"results": {
|
| 434 |
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|
| 435 |
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|
| 436 |
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| 437 |
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| 438 |
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| 439 |
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| 440 |
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"sage_overall": 0.516
|
| 441 |
-
},
|
| 442 |
-
"contact_email": "medium@demo.com",
|
| 443 |
-
"evaluation_timestamp": "2025-09-05T16:19:41.868409",
|
| 444 |
-
"result_file": "results/simulated_result_QuickDemo_MediumAccuracy_20250905_161941.json"
|
| 445 |
-
}
|
| 446 |
-
]
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|
initial_sage_results.json.backup_20250906_233132
DELETED
|
@@ -1,320 +0,0 @@
|
|
| 1 |
-
[
|
| 2 |
-
{
|
| 3 |
-
"model_name": "Unknown",
|
| 4 |
-
"organization": "Unknown",
|
| 5 |
-
"tokens": "User Submission",
|
| 6 |
-
"accuracy": 100.0,
|
| 7 |
-
"mg_pass_2": 100.0,
|
| 8 |
-
"mg_pass_4": 100.0,
|
| 9 |
-
"submitted_time": "2025-09-05",
|
| 10 |
-
"results": {
|
| 11 |
-
"sage_mathematics": 100.0,
|
| 12 |
-
"sage_physics": 100.0,
|
| 13 |
-
"sage_chemistry": 100.0,
|
| 14 |
-
"sage_biology": 100.0,
|
| 15 |
-
"sage_earth_science": 0.0,
|
| 16 |
-
"sage_astronomy": 0.0,
|
| 17 |
-
"sage_overall": 100.0
|
| 18 |
-
},
|
| 19 |
-
"contact_email": "",
|
| 20 |
-
"evaluation_timestamp": "2025-09-05T16:14:32.476871",
|
| 21 |
-
"result_file": "results/result_Demo_Test_Org_20250905_161432.json"
|
| 22 |
-
},
|
| 23 |
-
{
|
| 24 |
-
"model_name": "OpenAI GPT-5-High",
|
| 25 |
-
"organization": "OpenAI",
|
| 26 |
-
"tokens": "64k",
|
| 27 |
-
"accuracy": 45.2,
|
| 28 |
-
"mg_pass_2": 36.6,
|
| 29 |
-
"mg_pass_4": 35.1,
|
| 30 |
-
"submitted_time": "2024-01-15",
|
| 31 |
-
"results": {
|
| 32 |
-
"sage_overall": 45.2,
|
| 33 |
-
"sage_math": 48.5,
|
| 34 |
-
"sage_physics": 44.1,
|
| 35 |
-
"sage_chemistry": 42.8,
|
| 36 |
-
"sage_biology": 46.3,
|
| 37 |
-
"sage_earth_science": 43.7,
|
| 38 |
-
"sage_astronomy": 45.8
|
| 39 |
-
}
|
| 40 |
-
},
|
| 41 |
-
{
|
| 42 |
-
"model_name": "Gemini-2.5-Pro",
|
| 43 |
-
"organization": "Google",
|
| 44 |
-
"tokens": "64k",
|
| 45 |
-
"accuracy": 40.5,
|
| 46 |
-
"mg_pass_2": 31.2,
|
| 47 |
-
"mg_pass_4": 29.7,
|
| 48 |
-
"submitted_time": "2024-01-14",
|
| 49 |
-
"results": {
|
| 50 |
-
"sage_overall": 40.5,
|
| 51 |
-
"sage_math": 43.2,
|
| 52 |
-
"sage_physics": 39.8,
|
| 53 |
-
"sage_chemistry": 38.1,
|
| 54 |
-
"sage_biology": 41.7,
|
| 55 |
-
"sage_earth_science": 39.4,
|
| 56 |
-
"sage_astronomy": 40.8
|
| 57 |
-
}
|
| 58 |
-
},
|
| 59 |
-
{
|
| 60 |
-
"model_name": "OpenAI o3-High",
|
| 61 |
-
"organization": "OpenAI",
|
| 62 |
-
"tokens": "64k",
|
| 63 |
-
"accuracy": 39.6,
|
| 64 |
-
"mg_pass_2": 26.0,
|
| 65 |
-
"mg_pass_4": 27.3,
|
| 66 |
-
"submitted_time": "2024-01-13",
|
| 67 |
-
"results": {
|
| 68 |
-
"sage_overall": 39.6,
|
| 69 |
-
"sage_math": 42.1,
|
| 70 |
-
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|
| 71 |
-
"sage_chemistry": 37.2,
|
| 72 |
-
"sage_biology": 40.8,
|
| 73 |
-
"sage_earth_science": 38.1,
|
| 74 |
-
"sage_astronomy": 40.9
|
| 75 |
-
}
|
| 76 |
-
},
|
| 77 |
-
{
|
| 78 |
-
"model_name": "Gemini-2.5-Pro",
|
| 79 |
-
"organization": "Google",
|
| 80 |
-
"tokens": "32k",
|
| 81 |
-
"accuracy": 39.1,
|
| 82 |
-
"mg_pass_2": 29.4,
|
| 83 |
-
"mg_pass_4": 27.5,
|
| 84 |
-
"submitted_time": "2024-01-12",
|
| 85 |
-
"results": {
|
| 86 |
-
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|
| 87 |
-
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|
| 88 |
-
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|
| 89 |
-
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|
| 90 |
-
"sage_biology": 40.3,
|
| 91 |
-
"sage_earth_science": 37.7,
|
| 92 |
-
"sage_astronomy": 39.7
|
| 93 |
-
}
|
| 94 |
-
},
|
| 95 |
-
{
|
| 96 |
-
"model_name": "OpenAI o3-High",
|
| 97 |
-
"organization": "OpenAI",
|
| 98 |
-
"tokens": "32k",
|
| 99 |
-
"accuracy": 38.5,
|
| 100 |
-
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|
| 101 |
-
"mg_pass_4": 24.2,
|
| 102 |
-
"submitted_time": "2024-01-11",
|
| 103 |
-
"results": {
|
| 104 |
-
"sage_overall": 38.5,
|
| 105 |
-
"sage_math": 41.2,
|
| 106 |
-
"sage_physics": 37.8,
|
| 107 |
-
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|
| 108 |
-
"sage_biology": 39.9,
|
| 109 |
-
"sage_earth_science": 37.3,
|
| 110 |
-
"sage_astronomy": 38.7
|
| 111 |
-
}
|
| 112 |
-
},
|
| 113 |
-
{
|
| 114 |
-
"model_name": "Grok-4",
|
| 115 |
-
"organization": "xAI",
|
| 116 |
-
"tokens": "32k",
|
| 117 |
-
"accuracy": 35.0,
|
| 118 |
-
"mg_pass_2": 26.0,
|
| 119 |
-
"mg_pass_4": 24.1,
|
| 120 |
-
"submitted_time": "2024-01-10",
|
| 121 |
-
"results": {
|
| 122 |
-
"sage_overall": 35.0,
|
| 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 |
-
"sage_astronomy": 34.3
|
| 129 |
-
}
|
| 130 |
-
},
|
| 131 |
-
{
|
| 132 |
-
"model_name": "Qwen3-235B-A22B-2507",
|
| 133 |
-
"organization": "Alibaba",
|
| 134 |
-
"tokens": "32k",
|
| 135 |
-
"accuracy": 27.8,
|
| 136 |
-
"mg_pass_2": 19.8,
|
| 137 |
-
"mg_pass_4": 18.1,
|
| 138 |
-
"submitted_time": "2024-01-09",
|
| 139 |
-
"results": {
|
| 140 |
-
"sage_overall": 27.8,
|
| 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 |
-
}
|
| 148 |
-
},
|
| 149 |
-
{
|
| 150 |
-
"model_name": "Doubao-Seed-1.6-thinking",
|
| 151 |
-
"organization": "ByteDance",
|
| 152 |
-
"tokens": "32k",
|
| 153 |
-
"accuracy": 27.7,
|
| 154 |
-
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|
| 155 |
-
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|
| 156 |
-
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|
| 157 |
-
"results": {
|
| 158 |
-
"sage_overall": 27.7,
|
| 159 |
-
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|
| 160 |
-
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|
| 161 |
-
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|
| 162 |
-
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|
| 163 |
-
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|
| 164 |
-
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|
| 165 |
-
}
|
| 166 |
-
},
|
| 167 |
-
{
|
| 168 |
-
"model_name": "DeepSeek-V3.1",
|
| 169 |
-
"organization": "DeepSeek",
|
| 170 |
-
"tokens": "64k",
|
| 171 |
-
"accuracy": 27.7,
|
| 172 |
-
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|
| 173 |
-
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|
| 174 |
-
"submitted_time": "2024-01-07",
|
| 175 |
-
"results": {
|
| 176 |
-
"sage_overall": 27.7,
|
| 177 |
-
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|
| 178 |
-
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|
| 179 |
-
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|
| 180 |
-
"sage_biology": 28.1,
|
| 181 |
-
"sage_earth_science": 27.6,
|
| 182 |
-
"sage_astronomy": 27.9
|
| 183 |
-
}
|
| 184 |
-
},
|
| 185 |
-
{
|
| 186 |
-
"model_name": "DeepSeek-R1-0528",
|
| 187 |
-
"organization": "DeepSeek",
|
| 188 |
-
"tokens": "32k",
|
| 189 |
-
"accuracy": 26.1,
|
| 190 |
-
"mg_pass_2": 16.0,
|
| 191 |
-
"mg_pass_4": 14.1,
|
| 192 |
-
"submitted_time": "2024-01-06",
|
| 193 |
-
"results": {
|
| 194 |
-
"sage_overall": 26.1,
|
| 195 |
-
"sage_math": 28.0,
|
| 196 |
-
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|
| 197 |
-
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|
| 198 |
-
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|
| 199 |
-
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|
| 200 |
-
"sage_astronomy": 25.5
|
| 201 |
-
}
|
| 202 |
-
},
|
| 203 |
-
{
|
| 204 |
-
"model_name": "OpenAI o4-mini",
|
| 205 |
-
"organization": "OpenAI",
|
| 206 |
-
"tokens": "32k",
|
| 207 |
-
"accuracy": 23.5,
|
| 208 |
-
"mg_pass_2": 13.7,
|
| 209 |
-
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|
| 210 |
-
"submitted_time": "2024-01-05",
|
| 211 |
-
"results": {
|
| 212 |
-
"sage_overall": 23.5,
|
| 213 |
-
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|
| 214 |
-
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|
| 215 |
-
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|
| 216 |
-
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|
| 217 |
-
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|
| 218 |
-
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|
| 219 |
-
}
|
| 220 |
-
},
|
| 221 |
-
{
|
| 222 |
-
"model_name": "Qwen3-235B-A22B",
|
| 223 |
-
"organization": "Alibaba",
|
| 224 |
-
"tokens": "32k",
|
| 225 |
-
"accuracy": 20.1,
|
| 226 |
-
"mg_pass_2": 11.2,
|
| 227 |
-
"mg_pass_4": 9.6,
|
| 228 |
-
"submitted_time": "2024-01-04",
|
| 229 |
-
"results": {
|
| 230 |
-
"sage_overall": 20.1,
|
| 231 |
-
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|
| 232 |
-
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|
| 233 |
-
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|
| 234 |
-
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|
| 235 |
-
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|
| 236 |
-
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|
| 237 |
-
}
|
| 238 |
-
},
|
| 239 |
-
{
|
| 240 |
-
"model_name": "GLM-4.5-Thinking",
|
| 241 |
-
"organization": "Zhipu AI",
|
| 242 |
-
"tokens": "64k",
|
| 243 |
-
"accuracy": 9.3,
|
| 244 |
-
"mg_pass_2": 4.7,
|
| 245 |
-
"mg_pass_4": 4.0,
|
| 246 |
-
"submitted_time": "2024-01-03",
|
| 247 |
-
"results": {
|
| 248 |
-
"sage_overall": 9.3,
|
| 249 |
-
"sage_math": 10.1,
|
| 250 |
-
"sage_physics": 9.0,
|
| 251 |
-
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|
| 252 |
-
"sage_biology": 9.6,
|
| 253 |
-
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|
| 254 |
-
"sage_astronomy": 9.2
|
| 255 |
-
}
|
| 256 |
-
},
|
| 257 |
-
{
|
| 258 |
-
"model_name": "QuickDemo_TestOrg",
|
| 259 |
-
"organization": "QuickDemo_TestOrg",
|
| 260 |
-
"tokens": "User Submission (Simulated)",
|
| 261 |
-
"accuracy": 0.619,
|
| 262 |
-
"mg_pass_2": 0.619,
|
| 263 |
-
"mg_pass_4": 0.619,
|
| 264 |
-
"submitted_time": "2025-09-05",
|
| 265 |
-
"results": {
|
| 266 |
-
"sage_mathematics": 0.877,
|
| 267 |
-
"sage_physics": 0.895,
|
| 268 |
-
"sage_chemistry": 0.756,
|
| 269 |
-
"sage_biology": 0.316,
|
| 270 |
-
"sage_earth_science": 0.312,
|
| 271 |
-
"sage_astronomy": 0.56,
|
| 272 |
-
"sage_overall": 0.619
|
| 273 |
-
},
|
| 274 |
-
"contact_email": "test@demo.com",
|
| 275 |
-
"evaluation_timestamp": "2025-09-05T16:19:39.864071",
|
| 276 |
-
"result_file": "results/simulated_result_QuickDemo_TestOrg_20250905_161939.json"
|
| 277 |
-
},
|
| 278 |
-
{
|
| 279 |
-
"model_name": "QuickDemo_HighAccuracy",
|
| 280 |
-
"organization": "QuickDemo_HighAccuracy",
|
| 281 |
-
"tokens": "User Submission (Simulated)",
|
| 282 |
-
"accuracy": 0.598,
|
| 283 |
-
"mg_pass_2": 0.598,
|
| 284 |
-
"mg_pass_4": 0.598,
|
| 285 |
-
"submitted_time": "2025-09-05",
|
| 286 |
-
"results": {
|
| 287 |
-
"sage_mathematics": 0.88,
|
| 288 |
-
"sage_physics": 0.331,
|
| 289 |
-
"sage_chemistry": 0.646,
|
| 290 |
-
"sage_biology": 0.501,
|
| 291 |
-
"sage_earth_science": 0.818,
|
| 292 |
-
"sage_astronomy": 0.415,
|
| 293 |
-
"sage_overall": 0.598
|
| 294 |
-
},
|
| 295 |
-
"contact_email": "high@demo.com",
|
| 296 |
-
"evaluation_timestamp": "2025-09-05T16:19:43.874748",
|
| 297 |
-
"result_file": "results/simulated_result_QuickDemo_HighAccuracy_20250905_161943.json"
|
| 298 |
-
},
|
| 299 |
-
{
|
| 300 |
-
"model_name": "QuickDemo_MediumAccuracy",
|
| 301 |
-
"organization": "QuickDemo_MediumAccuracy",
|
| 302 |
-
"tokens": "User Submission (Simulated)",
|
| 303 |
-
"accuracy": 0.516,
|
| 304 |
-
"mg_pass_2": 0.516,
|
| 305 |
-
"mg_pass_4": 0.516,
|
| 306 |
-
"submitted_time": "2025-09-05",
|
| 307 |
-
"results": {
|
| 308 |
-
"sage_mathematics": 0.474,
|
| 309 |
-
"sage_physics": 0.518,
|
| 310 |
-
"sage_chemistry": 0.674,
|
| 311 |
-
"sage_biology": 0.638,
|
| 312 |
-
"sage_earth_science": 0.318,
|
| 313 |
-
"sage_astronomy": 0.473,
|
| 314 |
-
"sage_overall": 0.516
|
| 315 |
-
},
|
| 316 |
-
"contact_email": "medium@demo.com",
|
| 317 |
-
"evaluation_timestamp": "2025-09-05T16:19:41.868409",
|
| 318 |
-
"result_file": "results/simulated_result_QuickDemo_MediumAccuracy_20250905_161941.json"
|
| 319 |
-
}
|
| 320 |
-
]
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initial_sage_results.json.backup_20250906_233407
DELETED
|
@@ -1,341 +0,0 @@
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|
| 1 |
-
[
|
| 2 |
-
{
|
| 3 |
-
"model_name": "Test_Organization",
|
| 4 |
-
"organization": "Test_Organization",
|
| 5 |
-
"tokens": "User Submission",
|
| 6 |
-
"accuracy": 100.0,
|
| 7 |
-
"mg_pass_2": 100.0,
|
| 8 |
-
"mg_pass_4": 100.0,
|
| 9 |
-
"submitted_time": "2025-09-06",
|
| 10 |
-
"results": {
|
| 11 |
-
"sage_mathematics": 100.0,
|
| 12 |
-
"sage_physics": 0.0,
|
| 13 |
-
"sage_chemistry": 100.0,
|
| 14 |
-
"sage_biology": 0.0,
|
| 15 |
-
"sage_earth_science": 0.0,
|
| 16 |
-
"sage_astronomy": 0.0,
|
| 17 |
-
"sage_overall": 100.0
|
| 18 |
-
},
|
| 19 |
-
"contact_email": "test@example.com",
|
| 20 |
-
"evaluation_timestamp": "2025-09-06T23:29:34.267864",
|
| 21 |
-
"result_file": "results/result_Test_Organization_20250906_233132.json"
|
| 22 |
-
},
|
| 23 |
-
{
|
| 24 |
-
"model_name": "Unknown",
|
| 25 |
-
"organization": "Unknown",
|
| 26 |
-
"tokens": "User Submission",
|
| 27 |
-
"accuracy": 100.0,
|
| 28 |
-
"mg_pass_2": 100.0,
|
| 29 |
-
"mg_pass_4": 100.0,
|
| 30 |
-
"submitted_time": "2025-09-05",
|
| 31 |
-
"results": {
|
| 32 |
-
"sage_mathematics": 100.0,
|
| 33 |
-
"sage_physics": 100.0,
|
| 34 |
-
"sage_chemistry": 100.0,
|
| 35 |
-
"sage_biology": 100.0,
|
| 36 |
-
"sage_earth_science": 0.0,
|
| 37 |
-
"sage_astronomy": 0.0,
|
| 38 |
-
"sage_overall": 100.0
|
| 39 |
-
},
|
| 40 |
-
"contact_email": "",
|
| 41 |
-
"evaluation_timestamp": "2025-09-05T16:14:32.476871",
|
| 42 |
-
"result_file": "results/result_Demo_Test_Org_20250905_161432.json"
|
| 43 |
-
},
|
| 44 |
-
{
|
| 45 |
-
"model_name": "OpenAI GPT-5-High",
|
| 46 |
-
"organization": "OpenAI",
|
| 47 |
-
"tokens": "64k",
|
| 48 |
-
"accuracy": 45.2,
|
| 49 |
-
"mg_pass_2": 36.6,
|
| 50 |
-
"mg_pass_4": 35.1,
|
| 51 |
-
"submitted_time": "2024-01-15",
|
| 52 |
-
"results": {
|
| 53 |
-
"sage_overall": 45.2,
|
| 54 |
-
"sage_math": 48.5,
|
| 55 |
-
"sage_physics": 44.1,
|
| 56 |
-
"sage_chemistry": 42.8,
|
| 57 |
-
"sage_biology": 46.3,
|
| 58 |
-
"sage_earth_science": 43.7,
|
| 59 |
-
"sage_astronomy": 45.8
|
| 60 |
-
}
|
| 61 |
-
},
|
| 62 |
-
{
|
| 63 |
-
"model_name": "Gemini-2.5-Pro",
|
| 64 |
-
"organization": "Google",
|
| 65 |
-
"tokens": "64k",
|
| 66 |
-
"accuracy": 40.5,
|
| 67 |
-
"mg_pass_2": 31.2,
|
| 68 |
-
"mg_pass_4": 29.7,
|
| 69 |
-
"submitted_time": "2024-01-14",
|
| 70 |
-
"results": {
|
| 71 |
-
"sage_overall": 40.5,
|
| 72 |
-
"sage_math": 43.2,
|
| 73 |
-
"sage_physics": 39.8,
|
| 74 |
-
"sage_chemistry": 38.1,
|
| 75 |
-
"sage_biology": 41.7,
|
| 76 |
-
"sage_earth_science": 39.4,
|
| 77 |
-
"sage_astronomy": 40.8
|
| 78 |
-
}
|
| 79 |
-
},
|
| 80 |
-
{
|
| 81 |
-
"model_name": "OpenAI o3-High",
|
| 82 |
-
"organization": "OpenAI",
|
| 83 |
-
"tokens": "64k",
|
| 84 |
-
"accuracy": 39.6,
|
| 85 |
-
"mg_pass_2": 26.0,
|
| 86 |
-
"mg_pass_4": 27.3,
|
| 87 |
-
"submitted_time": "2024-01-13",
|
| 88 |
-
"results": {
|
| 89 |
-
"sage_overall": 39.6,
|
| 90 |
-
"sage_math": 42.1,
|
| 91 |
-
"sage_physics": 38.5,
|
| 92 |
-
"sage_chemistry": 37.2,
|
| 93 |
-
"sage_biology": 40.8,
|
| 94 |
-
"sage_earth_science": 38.1,
|
| 95 |
-
"sage_astronomy": 40.9
|
| 96 |
-
}
|
| 97 |
-
},
|
| 98 |
-
{
|
| 99 |
-
"model_name": "Gemini-2.5-Pro",
|
| 100 |
-
"organization": "Google",
|
| 101 |
-
"tokens": "32k",
|
| 102 |
-
"accuracy": 39.1,
|
| 103 |
-
"mg_pass_2": 29.4,
|
| 104 |
-
"mg_pass_4": 27.5,
|
| 105 |
-
"submitted_time": "2024-01-12",
|
| 106 |
-
"results": {
|
| 107 |
-
"sage_overall": 39.1,
|
| 108 |
-
"sage_math": 41.8,
|
| 109 |
-
"sage_physics": 38.2,
|
| 110 |
-
"sage_chemistry": 36.9,
|
| 111 |
-
"sage_biology": 40.3,
|
| 112 |
-
"sage_earth_science": 37.7,
|
| 113 |
-
"sage_astronomy": 39.7
|
| 114 |
-
}
|
| 115 |
-
},
|
| 116 |
-
{
|
| 117 |
-
"model_name": "OpenAI o3-High",
|
| 118 |
-
"organization": "OpenAI",
|
| 119 |
-
"tokens": "32k",
|
| 120 |
-
"accuracy": 38.5,
|
| 121 |
-
"mg_pass_2": 26.4,
|
| 122 |
-
"mg_pass_4": 24.2,
|
| 123 |
-
"submitted_time": "2024-01-11",
|
| 124 |
-
"results": {
|
| 125 |
-
"sage_overall": 38.5,
|
| 126 |
-
"sage_math": 41.2,
|
| 127 |
-
"sage_physics": 37.8,
|
| 128 |
-
"sage_chemistry": 36.1,
|
| 129 |
-
"sage_biology": 39.9,
|
| 130 |
-
"sage_earth_science": 37.3,
|
| 131 |
-
"sage_astronomy": 38.7
|
| 132 |
-
}
|
| 133 |
-
},
|
| 134 |
-
{
|
| 135 |
-
"model_name": "Grok-4",
|
| 136 |
-
"organization": "xAI",
|
| 137 |
-
"tokens": "32k",
|
| 138 |
-
"accuracy": 35.0,
|
| 139 |
-
"mg_pass_2": 26.0,
|
| 140 |
-
"mg_pass_4": 24.1,
|
| 141 |
-
"submitted_time": "2024-01-10",
|
| 142 |
-
"results": {
|
| 143 |
-
"sage_overall": 35.0,
|
| 144 |
-
"sage_math": 37.5,
|
| 145 |
-
"sage_physics": 34.2,
|
| 146 |
-
"sage_chemistry": 33.1,
|
| 147 |
-
"sage_biology": 36.1,
|
| 148 |
-
"sage_earth_science": 34.8,
|
| 149 |
-
"sage_astronomy": 34.3
|
| 150 |
-
}
|
| 151 |
-
},
|
| 152 |
-
{
|
| 153 |
-
"model_name": "Qwen3-235B-A22B-2507",
|
| 154 |
-
"organization": "Alibaba",
|
| 155 |
-
"tokens": "32k",
|
| 156 |
-
"accuracy": 27.8,
|
| 157 |
-
"mg_pass_2": 19.8,
|
| 158 |
-
"mg_pass_4": 18.1,
|
| 159 |
-
"submitted_time": "2024-01-09",
|
| 160 |
-
"results": {
|
| 161 |
-
"sage_overall": 27.8,
|
| 162 |
-
"sage_math": 29.8,
|
| 163 |
-
"sage_physics": 27.1,
|
| 164 |
-
"sage_chemistry": 26.5,
|
| 165 |
-
"sage_biology": 28.4,
|
| 166 |
-
"sage_earth_science": 27.9,
|
| 167 |
-
"sage_astronomy": 27.1
|
| 168 |
-
}
|
| 169 |
-
},
|
| 170 |
-
{
|
| 171 |
-
"model_name": "Doubao-Seed-1.6-thinking",
|
| 172 |
-
"organization": "ByteDance",
|
| 173 |
-
"tokens": "32k",
|
| 174 |
-
"accuracy": 27.7,
|
| 175 |
-
"mg_pass_2": 18.4,
|
| 176 |
-
"mg_pass_4": 16.8,
|
| 177 |
-
"submitted_time": "2024-01-08",
|
| 178 |
-
"results": {
|
| 179 |
-
"sage_overall": 27.7,
|
| 180 |
-
"sage_math": 29.6,
|
| 181 |
-
"sage_physics": 27.0,
|
| 182 |
-
"sage_chemistry": 26.3,
|
| 183 |
-
"sage_biology": 28.2,
|
| 184 |
-
"sage_earth_science": 27.7,
|
| 185 |
-
"sage_astronomy": 27.4
|
| 186 |
-
}
|
| 187 |
-
},
|
| 188 |
-
{
|
| 189 |
-
"model_name": "DeepSeek-V3.1",
|
| 190 |
-
"organization": "DeepSeek",
|
| 191 |
-
"tokens": "64k",
|
| 192 |
-
"accuracy": 27.7,
|
| 193 |
-
"mg_pass_2": 18.3,
|
| 194 |
-
"mg_pass_4": 16.5,
|
| 195 |
-
"submitted_time": "2024-01-07",
|
| 196 |
-
"results": {
|
| 197 |
-
"sage_overall": 27.7,
|
| 198 |
-
"sage_math": 29.5,
|
| 199 |
-
"sage_physics": 26.9,
|
| 200 |
-
"sage_chemistry": 26.2,
|
| 201 |
-
"sage_biology": 28.1,
|
| 202 |
-
"sage_earth_science": 27.6,
|
| 203 |
-
"sage_astronomy": 27.9
|
| 204 |
-
}
|
| 205 |
-
},
|
| 206 |
-
{
|
| 207 |
-
"model_name": "DeepSeek-R1-0528",
|
| 208 |
-
"organization": "DeepSeek",
|
| 209 |
-
"tokens": "32k",
|
| 210 |
-
"accuracy": 26.1,
|
| 211 |
-
"mg_pass_2": 16.0,
|
| 212 |
-
"mg_pass_4": 14.1,
|
| 213 |
-
"submitted_time": "2024-01-06",
|
| 214 |
-
"results": {
|
| 215 |
-
"sage_overall": 26.1,
|
| 216 |
-
"sage_math": 28.0,
|
| 217 |
-
"sage_physics": 25.4,
|
| 218 |
-
"sage_chemistry": 24.8,
|
| 219 |
-
"sage_biology": 26.7,
|
| 220 |
-
"sage_earth_science": 26.2,
|
| 221 |
-
"sage_astronomy": 25.5
|
| 222 |
-
}
|
| 223 |
-
},
|
| 224 |
-
{
|
| 225 |
-
"model_name": "OpenAI o4-mini",
|
| 226 |
-
"organization": "OpenAI",
|
| 227 |
-
"tokens": "32k",
|
| 228 |
-
"accuracy": 23.5,
|
| 229 |
-
"mg_pass_2": 13.7,
|
| 230 |
-
"mg_pass_4": 11.9,
|
| 231 |
-
"submitted_time": "2024-01-05",
|
| 232 |
-
"results": {
|
| 233 |
-
"sage_overall": 23.5,
|
| 234 |
-
"sage_math": 25.2,
|
| 235 |
-
"sage_physics": 22.8,
|
| 236 |
-
"sage_chemistry": 22.1,
|
| 237 |
-
"sage_biology": 24.1,
|
| 238 |
-
"sage_earth_science": 23.6,
|
| 239 |
-
"sage_astronomy": 23.2
|
| 240 |
-
}
|
| 241 |
-
},
|
| 242 |
-
{
|
| 243 |
-
"model_name": "Qwen3-235B-A22B",
|
| 244 |
-
"organization": "Alibaba",
|
| 245 |
-
"tokens": "32k",
|
| 246 |
-
"accuracy": 20.1,
|
| 247 |
-
"mg_pass_2": 11.2,
|
| 248 |
-
"mg_pass_4": 9.6,
|
| 249 |
-
"submitted_time": "2024-01-04",
|
| 250 |
-
"results": {
|
| 251 |
-
"sage_overall": 20.1,
|
| 252 |
-
"sage_math": 21.5,
|
| 253 |
-
"sage_physics": 19.5,
|
| 254 |
-
"sage_chemistry": 19.2,
|
| 255 |
-
"sage_biology": 20.7,
|
| 256 |
-
"sage_earth_science": 20.3,
|
| 257 |
-
"sage_astronomy": 19.4
|
| 258 |
-
}
|
| 259 |
-
},
|
| 260 |
-
{
|
| 261 |
-
"model_name": "GLM-4.5-Thinking",
|
| 262 |
-
"organization": "Zhipu AI",
|
| 263 |
-
"tokens": "64k",
|
| 264 |
-
"accuracy": 9.3,
|
| 265 |
-
"mg_pass_2": 4.7,
|
| 266 |
-
"mg_pass_4": 4.0,
|
| 267 |
-
"submitted_time": "2024-01-03",
|
| 268 |
-
"results": {
|
| 269 |
-
"sage_overall": 9.3,
|
| 270 |
-
"sage_math": 10.1,
|
| 271 |
-
"sage_physics": 9.0,
|
| 272 |
-
"sage_chemistry": 8.7,
|
| 273 |
-
"sage_biology": 9.6,
|
| 274 |
-
"sage_earth_science": 9.2,
|
| 275 |
-
"sage_astronomy": 9.2
|
| 276 |
-
}
|
| 277 |
-
},
|
| 278 |
-
{
|
| 279 |
-
"model_name": "QuickDemo_TestOrg",
|
| 280 |
-
"organization": "QuickDemo_TestOrg",
|
| 281 |
-
"tokens": "User Submission (Simulated)",
|
| 282 |
-
"accuracy": 0.619,
|
| 283 |
-
"mg_pass_2": 0.619,
|
| 284 |
-
"mg_pass_4": 0.619,
|
| 285 |
-
"submitted_time": "2025-09-05",
|
| 286 |
-
"results": {
|
| 287 |
-
"sage_mathematics": 0.877,
|
| 288 |
-
"sage_physics": 0.895,
|
| 289 |
-
"sage_chemistry": 0.756,
|
| 290 |
-
"sage_biology": 0.316,
|
| 291 |
-
"sage_earth_science": 0.312,
|
| 292 |
-
"sage_astronomy": 0.56,
|
| 293 |
-
"sage_overall": 0.619
|
| 294 |
-
},
|
| 295 |
-
"contact_email": "test@demo.com",
|
| 296 |
-
"evaluation_timestamp": "2025-09-05T16:19:39.864071",
|
| 297 |
-
"result_file": "results/simulated_result_QuickDemo_TestOrg_20250905_161939.json"
|
| 298 |
-
},
|
| 299 |
-
{
|
| 300 |
-
"model_name": "QuickDemo_HighAccuracy",
|
| 301 |
-
"organization": "QuickDemo_HighAccuracy",
|
| 302 |
-
"tokens": "User Submission (Simulated)",
|
| 303 |
-
"accuracy": 0.598,
|
| 304 |
-
"mg_pass_2": 0.598,
|
| 305 |
-
"mg_pass_4": 0.598,
|
| 306 |
-
"submitted_time": "2025-09-05",
|
| 307 |
-
"results": {
|
| 308 |
-
"sage_mathematics": 0.88,
|
| 309 |
-
"sage_physics": 0.331,
|
| 310 |
-
"sage_chemistry": 0.646,
|
| 311 |
-
"sage_biology": 0.501,
|
| 312 |
-
"sage_earth_science": 0.818,
|
| 313 |
-
"sage_astronomy": 0.415,
|
| 314 |
-
"sage_overall": 0.598
|
| 315 |
-
},
|
| 316 |
-
"contact_email": "high@demo.com",
|
| 317 |
-
"evaluation_timestamp": "2025-09-05T16:19:43.874748",
|
| 318 |
-
"result_file": "results/simulated_result_QuickDemo_HighAccuracy_20250905_161943.json"
|
| 319 |
-
},
|
| 320 |
-
{
|
| 321 |
-
"model_name": "QuickDemo_MediumAccuracy",
|
| 322 |
-
"organization": "QuickDemo_MediumAccuracy",
|
| 323 |
-
"tokens": "User Submission (Simulated)",
|
| 324 |
-
"accuracy": 0.516,
|
| 325 |
-
"mg_pass_2": 0.516,
|
| 326 |
-
"mg_pass_4": 0.516,
|
| 327 |
-
"submitted_time": "2025-09-05",
|
| 328 |
-
"results": {
|
| 329 |
-
"sage_mathematics": 0.474,
|
| 330 |
-
"sage_physics": 0.518,
|
| 331 |
-
"sage_chemistry": 0.674,
|
| 332 |
-
"sage_biology": 0.638,
|
| 333 |
-
"sage_earth_science": 0.318,
|
| 334 |
-
"sage_astronomy": 0.473,
|
| 335 |
-
"sage_overall": 0.516
|
| 336 |
-
},
|
| 337 |
-
"contact_email": "medium@demo.com",
|
| 338 |
-
"evaluation_timestamp": "2025-09-05T16:19:41.868409",
|
| 339 |
-
"result_file": "results/simulated_result_QuickDemo_MediumAccuracy_20250905_161941.json"
|
| 340 |
-
}
|
| 341 |
-
]
|
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|
initial_sage_results.json.backup_20250906_233650
DELETED
|
@@ -1,362 +0,0 @@
|
|
| 1 |
-
[
|
| 2 |
-
{
|
| 3 |
-
"model_name": "Test_Organization",
|
| 4 |
-
"organization": "Test_Organization",
|
| 5 |
-
"tokens": "User Submission",
|
| 6 |
-
"accuracy": 100.0,
|
| 7 |
-
"mg_pass_2": 100.0,
|
| 8 |
-
"mg_pass_4": 100.0,
|
| 9 |
-
"submitted_time": "2025-09-06",
|
| 10 |
-
"results": {
|
| 11 |
-
"sage_mathematics": 100.0,
|
| 12 |
-
"sage_physics": 0.0,
|
| 13 |
-
"sage_chemistry": 100.0,
|
| 14 |
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"sage_biology": 0.0,
|
| 15 |
-
"sage_earth_science": 0.0,
|
| 16 |
-
"sage_astronomy": 0.0,
|
| 17 |
-
"sage_overall": 100.0
|
| 18 |
-
},
|
| 19 |
-
"contact_email": "test@example.com",
|
| 20 |
-
"evaluation_timestamp": "2025-09-06T23:32:03.654608",
|
| 21 |
-
"result_file": "results/result_Test_Organization_20250906_233407.json"
|
| 22 |
-
},
|
| 23 |
-
{
|
| 24 |
-
"model_name": "Test_Organization",
|
| 25 |
-
"organization": "Test_Organization",
|
| 26 |
-
"tokens": "User Submission",
|
| 27 |
-
"accuracy": 100.0,
|
| 28 |
-
"mg_pass_2": 100.0,
|
| 29 |
-
"mg_pass_4": 100.0,
|
| 30 |
-
"submitted_time": "2025-09-06",
|
| 31 |
-
"results": {
|
| 32 |
-
"sage_mathematics": 100.0,
|
| 33 |
-
"sage_physics": 0.0,
|
| 34 |
-
"sage_chemistry": 100.0,
|
| 35 |
-
"sage_biology": 0.0,
|
| 36 |
-
"sage_earth_science": 0.0,
|
| 37 |
-
"sage_astronomy": 0.0,
|
| 38 |
-
"sage_overall": 100.0
|
| 39 |
-
},
|
| 40 |
-
"contact_email": "test@example.com",
|
| 41 |
-
"evaluation_timestamp": "2025-09-06T23:29:34.267864",
|
| 42 |
-
"result_file": "results/result_Test_Organization_20250906_233132.json"
|
| 43 |
-
},
|
| 44 |
-
{
|
| 45 |
-
"model_name": "Unknown",
|
| 46 |
-
"organization": "Unknown",
|
| 47 |
-
"tokens": "User Submission",
|
| 48 |
-
"accuracy": 100.0,
|
| 49 |
-
"mg_pass_2": 100.0,
|
| 50 |
-
"mg_pass_4": 100.0,
|
| 51 |
-
"submitted_time": "2025-09-05",
|
| 52 |
-
"results": {
|
| 53 |
-
"sage_mathematics": 100.0,
|
| 54 |
-
"sage_physics": 100.0,
|
| 55 |
-
"sage_chemistry": 100.0,
|
| 56 |
-
"sage_biology": 100.0,
|
| 57 |
-
"sage_earth_science": 0.0,
|
| 58 |
-
"sage_astronomy": 0.0,
|
| 59 |
-
"sage_overall": 100.0
|
| 60 |
-
},
|
| 61 |
-
"contact_email": "",
|
| 62 |
-
"evaluation_timestamp": "2025-09-05T16:14:32.476871",
|
| 63 |
-
"result_file": "results/result_Demo_Test_Org_20250905_161432.json"
|
| 64 |
-
},
|
| 65 |
-
{
|
| 66 |
-
"model_name": "OpenAI GPT-5-High",
|
| 67 |
-
"organization": "OpenAI",
|
| 68 |
-
"tokens": "64k",
|
| 69 |
-
"accuracy": 45.2,
|
| 70 |
-
"mg_pass_2": 36.6,
|
| 71 |
-
"mg_pass_4": 35.1,
|
| 72 |
-
"submitted_time": "2024-01-15",
|
| 73 |
-
"results": {
|
| 74 |
-
"sage_overall": 45.2,
|
| 75 |
-
"sage_math": 48.5,
|
| 76 |
-
"sage_physics": 44.1,
|
| 77 |
-
"sage_chemistry": 42.8,
|
| 78 |
-
"sage_biology": 46.3,
|
| 79 |
-
"sage_earth_science": 43.7,
|
| 80 |
-
"sage_astronomy": 45.8
|
| 81 |
-
}
|
| 82 |
-
},
|
| 83 |
-
{
|
| 84 |
-
"model_name": "Gemini-2.5-Pro",
|
| 85 |
-
"organization": "Google",
|
| 86 |
-
"tokens": "64k",
|
| 87 |
-
"accuracy": 40.5,
|
| 88 |
-
"mg_pass_2": 31.2,
|
| 89 |
-
"mg_pass_4": 29.7,
|
| 90 |
-
"submitted_time": "2024-01-14",
|
| 91 |
-
"results": {
|
| 92 |
-
"sage_overall": 40.5,
|
| 93 |
-
"sage_math": 43.2,
|
| 94 |
-
"sage_physics": 39.8,
|
| 95 |
-
"sage_chemistry": 38.1,
|
| 96 |
-
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|
| 97 |
-
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|
| 98 |
-
"sage_astronomy": 40.8
|
| 99 |
-
}
|
| 100 |
-
},
|
| 101 |
-
{
|
| 102 |
-
"model_name": "OpenAI o3-High",
|
| 103 |
-
"organization": "OpenAI",
|
| 104 |
-
"tokens": "64k",
|
| 105 |
-
"accuracy": 39.6,
|
| 106 |
-
"mg_pass_2": 26.0,
|
| 107 |
-
"mg_pass_4": 27.3,
|
| 108 |
-
"submitted_time": "2024-01-13",
|
| 109 |
-
"results": {
|
| 110 |
-
"sage_overall": 39.6,
|
| 111 |
-
"sage_math": 42.1,
|
| 112 |
-
"sage_physics": 38.5,
|
| 113 |
-
"sage_chemistry": 37.2,
|
| 114 |
-
"sage_biology": 40.8,
|
| 115 |
-
"sage_earth_science": 38.1,
|
| 116 |
-
"sage_astronomy": 40.9
|
| 117 |
-
}
|
| 118 |
-
},
|
| 119 |
-
{
|
| 120 |
-
"model_name": "Gemini-2.5-Pro",
|
| 121 |
-
"organization": "Google",
|
| 122 |
-
"tokens": "32k",
|
| 123 |
-
"accuracy": 39.1,
|
| 124 |
-
"mg_pass_2": 29.4,
|
| 125 |
-
"mg_pass_4": 27.5,
|
| 126 |
-
"submitted_time": "2024-01-12",
|
| 127 |
-
"results": {
|
| 128 |
-
"sage_overall": 39.1,
|
| 129 |
-
"sage_math": 41.8,
|
| 130 |
-
"sage_physics": 38.2,
|
| 131 |
-
"sage_chemistry": 36.9,
|
| 132 |
-
"sage_biology": 40.3,
|
| 133 |
-
"sage_earth_science": 37.7,
|
| 134 |
-
"sage_astronomy": 39.7
|
| 135 |
-
}
|
| 136 |
-
},
|
| 137 |
-
{
|
| 138 |
-
"model_name": "OpenAI o3-High",
|
| 139 |
-
"organization": "OpenAI",
|
| 140 |
-
"tokens": "32k",
|
| 141 |
-
"accuracy": 38.5,
|
| 142 |
-
"mg_pass_2": 26.4,
|
| 143 |
-
"mg_pass_4": 24.2,
|
| 144 |
-
"submitted_time": "2024-01-11",
|
| 145 |
-
"results": {
|
| 146 |
-
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|
| 147 |
-
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|
| 148 |
-
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|
| 149 |
-
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|
| 150 |
-
"sage_biology": 39.9,
|
| 151 |
-
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|
| 152 |
-
"sage_astronomy": 38.7
|
| 153 |
-
}
|
| 154 |
-
},
|
| 155 |
-
{
|
| 156 |
-
"model_name": "Grok-4",
|
| 157 |
-
"organization": "xAI",
|
| 158 |
-
"tokens": "32k",
|
| 159 |
-
"accuracy": 35.0,
|
| 160 |
-
"mg_pass_2": 26.0,
|
| 161 |
-
"mg_pass_4": 24.1,
|
| 162 |
-
"submitted_time": "2024-01-10",
|
| 163 |
-
"results": {
|
| 164 |
-
"sage_overall": 35.0,
|
| 165 |
-
"sage_math": 37.5,
|
| 166 |
-
"sage_physics": 34.2,
|
| 167 |
-
"sage_chemistry": 33.1,
|
| 168 |
-
"sage_biology": 36.1,
|
| 169 |
-
"sage_earth_science": 34.8,
|
| 170 |
-
"sage_astronomy": 34.3
|
| 171 |
-
}
|
| 172 |
-
},
|
| 173 |
-
{
|
| 174 |
-
"model_name": "Qwen3-235B-A22B-2507",
|
| 175 |
-
"organization": "Alibaba",
|
| 176 |
-
"tokens": "32k",
|
| 177 |
-
"accuracy": 27.8,
|
| 178 |
-
"mg_pass_2": 19.8,
|
| 179 |
-
"mg_pass_4": 18.1,
|
| 180 |
-
"submitted_time": "2024-01-09",
|
| 181 |
-
"results": {
|
| 182 |
-
"sage_overall": 27.8,
|
| 183 |
-
"sage_math": 29.8,
|
| 184 |
-
"sage_physics": 27.1,
|
| 185 |
-
"sage_chemistry": 26.5,
|
| 186 |
-
"sage_biology": 28.4,
|
| 187 |
-
"sage_earth_science": 27.9,
|
| 188 |
-
"sage_astronomy": 27.1
|
| 189 |
-
}
|
| 190 |
-
},
|
| 191 |
-
{
|
| 192 |
-
"model_name": "Doubao-Seed-1.6-thinking",
|
| 193 |
-
"organization": "ByteDance",
|
| 194 |
-
"tokens": "32k",
|
| 195 |
-
"accuracy": 27.7,
|
| 196 |
-
"mg_pass_2": 18.4,
|
| 197 |
-
"mg_pass_4": 16.8,
|
| 198 |
-
"submitted_time": "2024-01-08",
|
| 199 |
-
"results": {
|
| 200 |
-
"sage_overall": 27.7,
|
| 201 |
-
"sage_math": 29.6,
|
| 202 |
-
"sage_physics": 27.0,
|
| 203 |
-
"sage_chemistry": 26.3,
|
| 204 |
-
"sage_biology": 28.2,
|
| 205 |
-
"sage_earth_science": 27.7,
|
| 206 |
-
"sage_astronomy": 27.4
|
| 207 |
-
}
|
| 208 |
-
},
|
| 209 |
-
{
|
| 210 |
-
"model_name": "DeepSeek-V3.1",
|
| 211 |
-
"organization": "DeepSeek",
|
| 212 |
-
"tokens": "64k",
|
| 213 |
-
"accuracy": 27.7,
|
| 214 |
-
"mg_pass_2": 18.3,
|
| 215 |
-
"mg_pass_4": 16.5,
|
| 216 |
-
"submitted_time": "2024-01-07",
|
| 217 |
-
"results": {
|
| 218 |
-
"sage_overall": 27.7,
|
| 219 |
-
"sage_math": 29.5,
|
| 220 |
-
"sage_physics": 26.9,
|
| 221 |
-
"sage_chemistry": 26.2,
|
| 222 |
-
"sage_biology": 28.1,
|
| 223 |
-
"sage_earth_science": 27.6,
|
| 224 |
-
"sage_astronomy": 27.9
|
| 225 |
-
}
|
| 226 |
-
},
|
| 227 |
-
{
|
| 228 |
-
"model_name": "DeepSeek-R1-0528",
|
| 229 |
-
"organization": "DeepSeek",
|
| 230 |
-
"tokens": "32k",
|
| 231 |
-
"accuracy": 26.1,
|
| 232 |
-
"mg_pass_2": 16.0,
|
| 233 |
-
"mg_pass_4": 14.1,
|
| 234 |
-
"submitted_time": "2024-01-06",
|
| 235 |
-
"results": {
|
| 236 |
-
"sage_overall": 26.1,
|
| 237 |
-
"sage_math": 28.0,
|
| 238 |
-
"sage_physics": 25.4,
|
| 239 |
-
"sage_chemistry": 24.8,
|
| 240 |
-
"sage_biology": 26.7,
|
| 241 |
-
"sage_earth_science": 26.2,
|
| 242 |
-
"sage_astronomy": 25.5
|
| 243 |
-
}
|
| 244 |
-
},
|
| 245 |
-
{
|
| 246 |
-
"model_name": "OpenAI o4-mini",
|
| 247 |
-
"organization": "OpenAI",
|
| 248 |
-
"tokens": "32k",
|
| 249 |
-
"accuracy": 23.5,
|
| 250 |
-
"mg_pass_2": 13.7,
|
| 251 |
-
"mg_pass_4": 11.9,
|
| 252 |
-
"submitted_time": "2024-01-05",
|
| 253 |
-
"results": {
|
| 254 |
-
"sage_overall": 23.5,
|
| 255 |
-
"sage_math": 25.2,
|
| 256 |
-
"sage_physics": 22.8,
|
| 257 |
-
"sage_chemistry": 22.1,
|
| 258 |
-
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|
| 259 |
-
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|
| 260 |
-
"sage_astronomy": 23.2
|
| 261 |
-
}
|
| 262 |
-
},
|
| 263 |
-
{
|
| 264 |
-
"model_name": "Qwen3-235B-A22B",
|
| 265 |
-
"organization": "Alibaba",
|
| 266 |
-
"tokens": "32k",
|
| 267 |
-
"accuracy": 20.1,
|
| 268 |
-
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|
| 269 |
-
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|
| 270 |
-
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|
| 271 |
-
"results": {
|
| 272 |
-
"sage_overall": 20.1,
|
| 273 |
-
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|
| 274 |
-
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|
| 275 |
-
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|
| 276 |
-
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|
| 277 |
-
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|
| 278 |
-
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|
| 279 |
-
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|
| 280 |
-
},
|
| 281 |
-
{
|
| 282 |
-
"model_name": "GLM-4.5-Thinking",
|
| 283 |
-
"organization": "Zhipu AI",
|
| 284 |
-
"tokens": "64k",
|
| 285 |
-
"accuracy": 9.3,
|
| 286 |
-
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|
| 287 |
-
"mg_pass_4": 4.0,
|
| 288 |
-
"submitted_time": "2024-01-03",
|
| 289 |
-
"results": {
|
| 290 |
-
"sage_overall": 9.3,
|
| 291 |
-
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|
| 292 |
-
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|
| 293 |
-
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|
| 294 |
-
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|
| 295 |
-
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|
| 296 |
-
"sage_astronomy": 9.2
|
| 297 |
-
}
|
| 298 |
-
},
|
| 299 |
-
{
|
| 300 |
-
"model_name": "QuickDemo_TestOrg",
|
| 301 |
-
"organization": "QuickDemo_TestOrg",
|
| 302 |
-
"tokens": "User Submission (Simulated)",
|
| 303 |
-
"accuracy": 0.619,
|
| 304 |
-
"mg_pass_2": 0.619,
|
| 305 |
-
"mg_pass_4": 0.619,
|
| 306 |
-
"submitted_time": "2025-09-05",
|
| 307 |
-
"results": {
|
| 308 |
-
"sage_mathematics": 0.877,
|
| 309 |
-
"sage_physics": 0.895,
|
| 310 |
-
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|
| 311 |
-
"sage_biology": 0.316,
|
| 312 |
-
"sage_earth_science": 0.312,
|
| 313 |
-
"sage_astronomy": 0.56,
|
| 314 |
-
"sage_overall": 0.619
|
| 315 |
-
},
|
| 316 |
-
"contact_email": "test@demo.com",
|
| 317 |
-
"evaluation_timestamp": "2025-09-05T16:19:39.864071",
|
| 318 |
-
"result_file": "results/simulated_result_QuickDemo_TestOrg_20250905_161939.json"
|
| 319 |
-
},
|
| 320 |
-
{
|
| 321 |
-
"model_name": "QuickDemo_HighAccuracy",
|
| 322 |
-
"organization": "QuickDemo_HighAccuracy",
|
| 323 |
-
"tokens": "User Submission (Simulated)",
|
| 324 |
-
"accuracy": 0.598,
|
| 325 |
-
"mg_pass_2": 0.598,
|
| 326 |
-
"mg_pass_4": 0.598,
|
| 327 |
-
"submitted_time": "2025-09-05",
|
| 328 |
-
"results": {
|
| 329 |
-
"sage_mathematics": 0.88,
|
| 330 |
-
"sage_physics": 0.331,
|
| 331 |
-
"sage_chemistry": 0.646,
|
| 332 |
-
"sage_biology": 0.501,
|
| 333 |
-
"sage_earth_science": 0.818,
|
| 334 |
-
"sage_astronomy": 0.415,
|
| 335 |
-
"sage_overall": 0.598
|
| 336 |
-
},
|
| 337 |
-
"contact_email": "high@demo.com",
|
| 338 |
-
"evaluation_timestamp": "2025-09-05T16:19:43.874748",
|
| 339 |
-
"result_file": "results/simulated_result_QuickDemo_HighAccuracy_20250905_161943.json"
|
| 340 |
-
},
|
| 341 |
-
{
|
| 342 |
-
"model_name": "QuickDemo_MediumAccuracy",
|
| 343 |
-
"organization": "QuickDemo_MediumAccuracy",
|
| 344 |
-
"tokens": "User Submission (Simulated)",
|
| 345 |
-
"accuracy": 0.516,
|
| 346 |
-
"mg_pass_2": 0.516,
|
| 347 |
-
"mg_pass_4": 0.516,
|
| 348 |
-
"submitted_time": "2025-09-05",
|
| 349 |
-
"results": {
|
| 350 |
-
"sage_mathematics": 0.474,
|
| 351 |
-
"sage_physics": 0.518,
|
| 352 |
-
"sage_chemistry": 0.674,
|
| 353 |
-
"sage_biology": 0.638,
|
| 354 |
-
"sage_earth_science": 0.318,
|
| 355 |
-
"sage_astronomy": 0.473,
|
| 356 |
-
"sage_overall": 0.516
|
| 357 |
-
},
|
| 358 |
-
"contact_email": "medium@demo.com",
|
| 359 |
-
"evaluation_timestamp": "2025-09-05T16:19:41.868409",
|
| 360 |
-
"result_file": "results/simulated_result_QuickDemo_MediumAccuracy_20250905_161941.json"
|
| 361 |
-
}
|
| 362 |
-
]
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|
initial_sage_results.json.backup_20250907_010121
DELETED
|
@@ -1,383 +0,0 @@
|
|
| 1 |
-
[
|
| 2 |
-
{
|
| 3 |
-
"model_name": "E2E_Test_Org",
|
| 4 |
-
"organization": "E2E_Test_Org",
|
| 5 |
-
"tokens": "User Submission",
|
| 6 |
-
"accuracy": 100.0,
|
| 7 |
-
"mg_pass_2": 100.0,
|
| 8 |
-
"mg_pass_4": 100.0,
|
| 9 |
-
"submitted_time": "2025-09-06",
|
| 10 |
-
"results": {
|
| 11 |
-
"sage_mathematics": 100.0,
|
| 12 |
-
"sage_physics": 0.0,
|
| 13 |
-
"sage_chemistry": 100.0,
|
| 14 |
-
"sage_biology": 0.0,
|
| 15 |
-
"sage_earth_science": 0.0,
|
| 16 |
-
"sage_astronomy": 0.0,
|
| 17 |
-
"sage_overall": 100.0
|
| 18 |
-
},
|
| 19 |
-
"contact_email": "e2e@test.com",
|
| 20 |
-
"evaluation_timestamp": "2025-09-06T23:34:38.252926",
|
| 21 |
-
"result_file": "results/result_E2E_Test_Org_20250906_233650.json"
|
| 22 |
-
},
|
| 23 |
-
{
|
| 24 |
-
"model_name": "Test_Organization",
|
| 25 |
-
"organization": "Test_Organization",
|
| 26 |
-
"tokens": "User Submission",
|
| 27 |
-
"accuracy": 100.0,
|
| 28 |
-
"mg_pass_2": 100.0,
|
| 29 |
-
"mg_pass_4": 100.0,
|
| 30 |
-
"submitted_time": "2025-09-06",
|
| 31 |
-
"results": {
|
| 32 |
-
"sage_mathematics": 100.0,
|
| 33 |
-
"sage_physics": 0.0,
|
| 34 |
-
"sage_chemistry": 100.0,
|
| 35 |
-
"sage_biology": 0.0,
|
| 36 |
-
"sage_earth_science": 0.0,
|
| 37 |
-
"sage_astronomy": 0.0,
|
| 38 |
-
"sage_overall": 100.0
|
| 39 |
-
},
|
| 40 |
-
"contact_email": "test@example.com",
|
| 41 |
-
"evaluation_timestamp": "2025-09-06T23:32:03.654608",
|
| 42 |
-
"result_file": "results/result_Test_Organization_20250906_233407.json"
|
| 43 |
-
},
|
| 44 |
-
{
|
| 45 |
-
"model_name": "Test_Organization",
|
| 46 |
-
"organization": "Test_Organization",
|
| 47 |
-
"tokens": "User Submission",
|
| 48 |
-
"accuracy": 100.0,
|
| 49 |
-
"mg_pass_2": 100.0,
|
| 50 |
-
"mg_pass_4": 100.0,
|
| 51 |
-
"submitted_time": "2025-09-06",
|
| 52 |
-
"results": {
|
| 53 |
-
"sage_mathematics": 100.0,
|
| 54 |
-
"sage_physics": 0.0,
|
| 55 |
-
"sage_chemistry": 100.0,
|
| 56 |
-
"sage_biology": 0.0,
|
| 57 |
-
"sage_earth_science": 0.0,
|
| 58 |
-
"sage_astronomy": 0.0,
|
| 59 |
-
"sage_overall": 100.0
|
| 60 |
-
},
|
| 61 |
-
"contact_email": "test@example.com",
|
| 62 |
-
"evaluation_timestamp": "2025-09-06T23:29:34.267864",
|
| 63 |
-
"result_file": "results/result_Test_Organization_20250906_233132.json"
|
| 64 |
-
},
|
| 65 |
-
{
|
| 66 |
-
"model_name": "Unknown",
|
| 67 |
-
"organization": "Unknown",
|
| 68 |
-
"tokens": "User Submission",
|
| 69 |
-
"accuracy": 100.0,
|
| 70 |
-
"mg_pass_2": 100.0,
|
| 71 |
-
"mg_pass_4": 100.0,
|
| 72 |
-
"submitted_time": "2025-09-05",
|
| 73 |
-
"results": {
|
| 74 |
-
"sage_mathematics": 100.0,
|
| 75 |
-
"sage_physics": 100.0,
|
| 76 |
-
"sage_chemistry": 100.0,
|
| 77 |
-
"sage_biology": 100.0,
|
| 78 |
-
"sage_earth_science": 0.0,
|
| 79 |
-
"sage_astronomy": 0.0,
|
| 80 |
-
"sage_overall": 100.0
|
| 81 |
-
},
|
| 82 |
-
"contact_email": "",
|
| 83 |
-
"evaluation_timestamp": "2025-09-05T16:14:32.476871",
|
| 84 |
-
"result_file": "results/result_Demo_Test_Org_20250905_161432.json"
|
| 85 |
-
},
|
| 86 |
-
{
|
| 87 |
-
"model_name": "OpenAI GPT-5-High",
|
| 88 |
-
"organization": "OpenAI",
|
| 89 |
-
"tokens": "64k",
|
| 90 |
-
"accuracy": 45.2,
|
| 91 |
-
"mg_pass_2": 36.6,
|
| 92 |
-
"mg_pass_4": 35.1,
|
| 93 |
-
"submitted_time": "2024-01-15",
|
| 94 |
-
"results": {
|
| 95 |
-
"sage_overall": 45.2,
|
| 96 |
-
"sage_math": 48.5,
|
| 97 |
-
"sage_physics": 44.1,
|
| 98 |
-
"sage_chemistry": 42.8,
|
| 99 |
-
"sage_biology": 46.3,
|
| 100 |
-
"sage_earth_science": 43.7,
|
| 101 |
-
"sage_astronomy": 45.8
|
| 102 |
-
}
|
| 103 |
-
},
|
| 104 |
-
{
|
| 105 |
-
"model_name": "Gemini-2.5-Pro",
|
| 106 |
-
"organization": "Google",
|
| 107 |
-
"tokens": "64k",
|
| 108 |
-
"accuracy": 40.5,
|
| 109 |
-
"mg_pass_2": 31.2,
|
| 110 |
-
"mg_pass_4": 29.7,
|
| 111 |
-
"submitted_time": "2024-01-14",
|
| 112 |
-
"results": {
|
| 113 |
-
"sage_overall": 40.5,
|
| 114 |
-
"sage_math": 43.2,
|
| 115 |
-
"sage_physics": 39.8,
|
| 116 |
-
"sage_chemistry": 38.1,
|
| 117 |
-
"sage_biology": 41.7,
|
| 118 |
-
"sage_earth_science": 39.4,
|
| 119 |
-
"sage_astronomy": 40.8
|
| 120 |
-
}
|
| 121 |
-
},
|
| 122 |
-
{
|
| 123 |
-
"model_name": "OpenAI o3-High",
|
| 124 |
-
"organization": "OpenAI",
|
| 125 |
-
"tokens": "64k",
|
| 126 |
-
"accuracy": 39.6,
|
| 127 |
-
"mg_pass_2": 26.0,
|
| 128 |
-
"mg_pass_4": 27.3,
|
| 129 |
-
"submitted_time": "2024-01-13",
|
| 130 |
-
"results": {
|
| 131 |
-
"sage_overall": 39.6,
|
| 132 |
-
"sage_math": 42.1,
|
| 133 |
-
"sage_physics": 38.5,
|
| 134 |
-
"sage_chemistry": 37.2,
|
| 135 |
-
"sage_biology": 40.8,
|
| 136 |
-
"sage_earth_science": 38.1,
|
| 137 |
-
"sage_astronomy": 40.9
|
| 138 |
-
}
|
| 139 |
-
},
|
| 140 |
-
{
|
| 141 |
-
"model_name": "Gemini-2.5-Pro",
|
| 142 |
-
"organization": "Google",
|
| 143 |
-
"tokens": "32k",
|
| 144 |
-
"accuracy": 39.1,
|
| 145 |
-
"mg_pass_2": 29.4,
|
| 146 |
-
"mg_pass_4": 27.5,
|
| 147 |
-
"submitted_time": "2024-01-12",
|
| 148 |
-
"results": {
|
| 149 |
-
"sage_overall": 39.1,
|
| 150 |
-
"sage_math": 41.8,
|
| 151 |
-
"sage_physics": 38.2,
|
| 152 |
-
"sage_chemistry": 36.9,
|
| 153 |
-
"sage_biology": 40.3,
|
| 154 |
-
"sage_earth_science": 37.7,
|
| 155 |
-
"sage_astronomy": 39.7
|
| 156 |
-
}
|
| 157 |
-
},
|
| 158 |
-
{
|
| 159 |
-
"model_name": "OpenAI o3-High",
|
| 160 |
-
"organization": "OpenAI",
|
| 161 |
-
"tokens": "32k",
|
| 162 |
-
"accuracy": 38.5,
|
| 163 |
-
"mg_pass_2": 26.4,
|
| 164 |
-
"mg_pass_4": 24.2,
|
| 165 |
-
"submitted_time": "2024-01-11",
|
| 166 |
-
"results": {
|
| 167 |
-
"sage_overall": 38.5,
|
| 168 |
-
"sage_math": 41.2,
|
| 169 |
-
"sage_physics": 37.8,
|
| 170 |
-
"sage_chemistry": 36.1,
|
| 171 |
-
"sage_biology": 39.9,
|
| 172 |
-
"sage_earth_science": 37.3,
|
| 173 |
-
"sage_astronomy": 38.7
|
| 174 |
-
}
|
| 175 |
-
},
|
| 176 |
-
{
|
| 177 |
-
"model_name": "Grok-4",
|
| 178 |
-
"organization": "xAI",
|
| 179 |
-
"tokens": "32k",
|
| 180 |
-
"accuracy": 35.0,
|
| 181 |
-
"mg_pass_2": 26.0,
|
| 182 |
-
"mg_pass_4": 24.1,
|
| 183 |
-
"submitted_time": "2024-01-10",
|
| 184 |
-
"results": {
|
| 185 |
-
"sage_overall": 35.0,
|
| 186 |
-
"sage_math": 37.5,
|
| 187 |
-
"sage_physics": 34.2,
|
| 188 |
-
"sage_chemistry": 33.1,
|
| 189 |
-
"sage_biology": 36.1,
|
| 190 |
-
"sage_earth_science": 34.8,
|
| 191 |
-
"sage_astronomy": 34.3
|
| 192 |
-
}
|
| 193 |
-
},
|
| 194 |
-
{
|
| 195 |
-
"model_name": "Qwen3-235B-A22B-2507",
|
| 196 |
-
"organization": "Alibaba",
|
| 197 |
-
"tokens": "32k",
|
| 198 |
-
"accuracy": 27.8,
|
| 199 |
-
"mg_pass_2": 19.8,
|
| 200 |
-
"mg_pass_4": 18.1,
|
| 201 |
-
"submitted_time": "2024-01-09",
|
| 202 |
-
"results": {
|
| 203 |
-
"sage_overall": 27.8,
|
| 204 |
-
"sage_math": 29.8,
|
| 205 |
-
"sage_physics": 27.1,
|
| 206 |
-
"sage_chemistry": 26.5,
|
| 207 |
-
"sage_biology": 28.4,
|
| 208 |
-
"sage_earth_science": 27.9,
|
| 209 |
-
"sage_astronomy": 27.1
|
| 210 |
-
}
|
| 211 |
-
},
|
| 212 |
-
{
|
| 213 |
-
"model_name": "Doubao-Seed-1.6-thinking",
|
| 214 |
-
"organization": "ByteDance",
|
| 215 |
-
"tokens": "32k",
|
| 216 |
-
"accuracy": 27.7,
|
| 217 |
-
"mg_pass_2": 18.4,
|
| 218 |
-
"mg_pass_4": 16.8,
|
| 219 |
-
"submitted_time": "2024-01-08",
|
| 220 |
-
"results": {
|
| 221 |
-
"sage_overall": 27.7,
|
| 222 |
-
"sage_math": 29.6,
|
| 223 |
-
"sage_physics": 27.0,
|
| 224 |
-
"sage_chemistry": 26.3,
|
| 225 |
-
"sage_biology": 28.2,
|
| 226 |
-
"sage_earth_science": 27.7,
|
| 227 |
-
"sage_astronomy": 27.4
|
| 228 |
-
}
|
| 229 |
-
},
|
| 230 |
-
{
|
| 231 |
-
"model_name": "DeepSeek-V3.1",
|
| 232 |
-
"organization": "DeepSeek",
|
| 233 |
-
"tokens": "64k",
|
| 234 |
-
"accuracy": 27.7,
|
| 235 |
-
"mg_pass_2": 18.3,
|
| 236 |
-
"mg_pass_4": 16.5,
|
| 237 |
-
"submitted_time": "2024-01-07",
|
| 238 |
-
"results": {
|
| 239 |
-
"sage_overall": 27.7,
|
| 240 |
-
"sage_math": 29.5,
|
| 241 |
-
"sage_physics": 26.9,
|
| 242 |
-
"sage_chemistry": 26.2,
|
| 243 |
-
"sage_biology": 28.1,
|
| 244 |
-
"sage_earth_science": 27.6,
|
| 245 |
-
"sage_astronomy": 27.9
|
| 246 |
-
}
|
| 247 |
-
},
|
| 248 |
-
{
|
| 249 |
-
"model_name": "DeepSeek-R1-0528",
|
| 250 |
-
"organization": "DeepSeek",
|
| 251 |
-
"tokens": "32k",
|
| 252 |
-
"accuracy": 26.1,
|
| 253 |
-
"mg_pass_2": 16.0,
|
| 254 |
-
"mg_pass_4": 14.1,
|
| 255 |
-
"submitted_time": "2024-01-06",
|
| 256 |
-
"results": {
|
| 257 |
-
"sage_overall": 26.1,
|
| 258 |
-
"sage_math": 28.0,
|
| 259 |
-
"sage_physics": 25.4,
|
| 260 |
-
"sage_chemistry": 24.8,
|
| 261 |
-
"sage_biology": 26.7,
|
| 262 |
-
"sage_earth_science": 26.2,
|
| 263 |
-
"sage_astronomy": 25.5
|
| 264 |
-
}
|
| 265 |
-
},
|
| 266 |
-
{
|
| 267 |
-
"model_name": "OpenAI o4-mini",
|
| 268 |
-
"organization": "OpenAI",
|
| 269 |
-
"tokens": "32k",
|
| 270 |
-
"accuracy": 23.5,
|
| 271 |
-
"mg_pass_2": 13.7,
|
| 272 |
-
"mg_pass_4": 11.9,
|
| 273 |
-
"submitted_time": "2024-01-05",
|
| 274 |
-
"results": {
|
| 275 |
-
"sage_overall": 23.5,
|
| 276 |
-
"sage_math": 25.2,
|
| 277 |
-
"sage_physics": 22.8,
|
| 278 |
-
"sage_chemistry": 22.1,
|
| 279 |
-
"sage_biology": 24.1,
|
| 280 |
-
"sage_earth_science": 23.6,
|
| 281 |
-
"sage_astronomy": 23.2
|
| 282 |
-
}
|
| 283 |
-
},
|
| 284 |
-
{
|
| 285 |
-
"model_name": "Qwen3-235B-A22B",
|
| 286 |
-
"organization": "Alibaba",
|
| 287 |
-
"tokens": "32k",
|
| 288 |
-
"accuracy": 20.1,
|
| 289 |
-
"mg_pass_2": 11.2,
|
| 290 |
-
"mg_pass_4": 9.6,
|
| 291 |
-
"submitted_time": "2024-01-04",
|
| 292 |
-
"results": {
|
| 293 |
-
"sage_overall": 20.1,
|
| 294 |
-
"sage_math": 21.5,
|
| 295 |
-
"sage_physics": 19.5,
|
| 296 |
-
"sage_chemistry": 19.2,
|
| 297 |
-
"sage_biology": 20.7,
|
| 298 |
-
"sage_earth_science": 20.3,
|
| 299 |
-
"sage_astronomy": 19.4
|
| 300 |
-
}
|
| 301 |
-
},
|
| 302 |
-
{
|
| 303 |
-
"model_name": "GLM-4.5-Thinking",
|
| 304 |
-
"organization": "Zhipu AI",
|
| 305 |
-
"tokens": "64k",
|
| 306 |
-
"accuracy": 9.3,
|
| 307 |
-
"mg_pass_2": 4.7,
|
| 308 |
-
"mg_pass_4": 4.0,
|
| 309 |
-
"submitted_time": "2024-01-03",
|
| 310 |
-
"results": {
|
| 311 |
-
"sage_overall": 9.3,
|
| 312 |
-
"sage_math": 10.1,
|
| 313 |
-
"sage_physics": 9.0,
|
| 314 |
-
"sage_chemistry": 8.7,
|
| 315 |
-
"sage_biology": 9.6,
|
| 316 |
-
"sage_earth_science": 9.2,
|
| 317 |
-
"sage_astronomy": 9.2
|
| 318 |
-
}
|
| 319 |
-
},
|
| 320 |
-
{
|
| 321 |
-
"model_name": "QuickDemo_TestOrg",
|
| 322 |
-
"organization": "QuickDemo_TestOrg",
|
| 323 |
-
"tokens": "User Submission (Simulated)",
|
| 324 |
-
"accuracy": 0.619,
|
| 325 |
-
"mg_pass_2": 0.619,
|
| 326 |
-
"mg_pass_4": 0.619,
|
| 327 |
-
"submitted_time": "2025-09-05",
|
| 328 |
-
"results": {
|
| 329 |
-
"sage_mathematics": 0.877,
|
| 330 |
-
"sage_physics": 0.895,
|
| 331 |
-
"sage_chemistry": 0.756,
|
| 332 |
-
"sage_biology": 0.316,
|
| 333 |
-
"sage_earth_science": 0.312,
|
| 334 |
-
"sage_astronomy": 0.56,
|
| 335 |
-
"sage_overall": 0.619
|
| 336 |
-
},
|
| 337 |
-
"contact_email": "test@demo.com",
|
| 338 |
-
"evaluation_timestamp": "2025-09-05T16:19:39.864071",
|
| 339 |
-
"result_file": "results/simulated_result_QuickDemo_TestOrg_20250905_161939.json"
|
| 340 |
-
},
|
| 341 |
-
{
|
| 342 |
-
"model_name": "QuickDemo_HighAccuracy",
|
| 343 |
-
"organization": "QuickDemo_HighAccuracy",
|
| 344 |
-
"tokens": "User Submission (Simulated)",
|
| 345 |
-
"accuracy": 0.598,
|
| 346 |
-
"mg_pass_2": 0.598,
|
| 347 |
-
"mg_pass_4": 0.598,
|
| 348 |
-
"submitted_time": "2025-09-05",
|
| 349 |
-
"results": {
|
| 350 |
-
"sage_mathematics": 0.88,
|
| 351 |
-
"sage_physics": 0.331,
|
| 352 |
-
"sage_chemistry": 0.646,
|
| 353 |
-
"sage_biology": 0.501,
|
| 354 |
-
"sage_earth_science": 0.818,
|
| 355 |
-
"sage_astronomy": 0.415,
|
| 356 |
-
"sage_overall": 0.598
|
| 357 |
-
},
|
| 358 |
-
"contact_email": "high@demo.com",
|
| 359 |
-
"evaluation_timestamp": "2025-09-05T16:19:43.874748",
|
| 360 |
-
"result_file": "results/simulated_result_QuickDemo_HighAccuracy_20250905_161943.json"
|
| 361 |
-
},
|
| 362 |
-
{
|
| 363 |
-
"model_name": "QuickDemo_MediumAccuracy",
|
| 364 |
-
"organization": "QuickDemo_MediumAccuracy",
|
| 365 |
-
"tokens": "User Submission (Simulated)",
|
| 366 |
-
"accuracy": 0.516,
|
| 367 |
-
"mg_pass_2": 0.516,
|
| 368 |
-
"mg_pass_4": 0.516,
|
| 369 |
-
"submitted_time": "2025-09-05",
|
| 370 |
-
"results": {
|
| 371 |
-
"sage_mathematics": 0.474,
|
| 372 |
-
"sage_physics": 0.518,
|
| 373 |
-
"sage_chemistry": 0.674,
|
| 374 |
-
"sage_biology": 0.638,
|
| 375 |
-
"sage_earth_science": 0.318,
|
| 376 |
-
"sage_astronomy": 0.473,
|
| 377 |
-
"sage_overall": 0.516
|
| 378 |
-
},
|
| 379 |
-
"contact_email": "medium@demo.com",
|
| 380 |
-
"evaluation_timestamp": "2025-09-05T16:19:41.868409",
|
| 381 |
-
"result_file": "results/simulated_result_QuickDemo_MediumAccuracy_20250905_161941.json"
|
| 382 |
-
}
|
| 383 |
-
]
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|
src/oss/__init__.py
CHANGED
|
@@ -1 +1,9 @@
|
|
| 1 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""
|
| 2 |
+
OSS模块 - 处理阿里云OSS相关功能
|
| 3 |
+
"""
|
| 4 |
+
|
| 5 |
+
from .oss_file_manager import OSSFileManager
|
| 6 |
+
from .oss_leaderboard_manager import OSSLeaderboardManager
|
| 7 |
+
from .oss_submission_handler import OSSSubmissionHandler
|
| 8 |
+
|
| 9 |
+
__all__ = ["OSSFileManager", "OSSLeaderboardManager", "OSSSubmissionHandler"]
|
src/oss/oss_file_manager.py
CHANGED
|
@@ -182,6 +182,62 @@ class OSSFileManager:
|
|
| 182 |
logger.error(f"检查文件存在性失败: {oss_file_path}, 错误: {e}")
|
| 183 |
return False
|
| 184 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 185 |
def list_latest_files_by_date(
|
| 186 |
self,
|
| 187 |
object_dir: str = "",
|
|
|
|
| 182 |
logger.error(f"检查文件存在性失败: {oss_file_path}, 错误: {e}")
|
| 183 |
return False
|
| 184 |
|
| 185 |
+
def download_file_content(self, oss_file_path: str) -> Optional[bytes]:
|
| 186 |
+
"""
|
| 187 |
+
下载OSS文件内容到内存
|
| 188 |
+
|
| 189 |
+
Args:
|
| 190 |
+
oss_file_path: OSS文件路径
|
| 191 |
+
|
| 192 |
+
Returns:
|
| 193 |
+
文件内容(字节)或None
|
| 194 |
+
"""
|
| 195 |
+
try:
|
| 196 |
+
result = self.bucket.get_object(oss_file_path)
|
| 197 |
+
content = result.read()
|
| 198 |
+
logger.info(f"下载文件内容成功: {oss_file_path} ({len(content)} bytes)")
|
| 199 |
+
return content
|
| 200 |
+
except Exception as e:
|
| 201 |
+
logger.error(f"下载文件内容失败: {oss_file_path}, 错误: {e}")
|
| 202 |
+
return None
|
| 203 |
+
|
| 204 |
+
def upload_file(self, local_file_path: str, oss_file_path: str) -> bool:
|
| 205 |
+
"""
|
| 206 |
+
上传本地文件到OSS(别名方法)
|
| 207 |
+
|
| 208 |
+
Args:
|
| 209 |
+
local_file_path: 本地文件路径
|
| 210 |
+
oss_file_path: OSS文件路径
|
| 211 |
+
|
| 212 |
+
Returns:
|
| 213 |
+
上传是否成功
|
| 214 |
+
"""
|
| 215 |
+
return self.upload_file_to_object(local_file_path, oss_file_path, replace=True)
|
| 216 |
+
|
| 217 |
+
def copy_file(self, source_path: str, target_path: str) -> bool:
|
| 218 |
+
"""
|
| 219 |
+
在OSS内部复制文件
|
| 220 |
+
|
| 221 |
+
Args:
|
| 222 |
+
source_path: 源文件路径
|
| 223 |
+
target_path: 目标文件路径
|
| 224 |
+
|
| 225 |
+
Returns:
|
| 226 |
+
复制是否成功
|
| 227 |
+
"""
|
| 228 |
+
try:
|
| 229 |
+
# 使用copy_object进行OSS内部复制
|
| 230 |
+
self.bucket.copy_object(
|
| 231 |
+
self.bucket_name, # 源bucket
|
| 232 |
+
source_path, # 源文件路径
|
| 233 |
+
target_path # 目标文件路径
|
| 234 |
+
)
|
| 235 |
+
logger.info(f"文件复制成功: {source_path} -> {target_path}")
|
| 236 |
+
return True
|
| 237 |
+
except Exception as e:
|
| 238 |
+
logger.error(f"文件复制失败: {source_path} -> {target_path}, 错误: {e}")
|
| 239 |
+
return False
|
| 240 |
+
|
| 241 |
def list_latest_files_by_date(
|
| 242 |
self,
|
| 243 |
object_dir: str = "",
|
src/oss/oss_file_manager_old.py
DELETED
|
@@ -1,517 +0,0 @@
|
|
| 1 |
-
# %%
|
| 2 |
-
import datetime as dt
|
| 3 |
-
import os
|
| 4 |
-
import re
|
| 5 |
-
from logging import Logger
|
| 6 |
-
from multiprocessing import Pool
|
| 7 |
-
from multiprocessing.pool import ThreadPool
|
| 8 |
-
from pathlib import Path
|
| 9 |
-
from typing import List, Union
|
| 10 |
-
|
| 11 |
-
import oss2
|
| 12 |
-
from loguru import logger
|
| 13 |
-
from oss2.credentials import EnvironmentVariableCredentialsProvider
|
| 14 |
-
from tqdm import tqdm
|
| 15 |
-
|
| 16 |
-
from compassflow.constants import DATADIR
|
| 17 |
-
from compassflow.oss.oss import OssBucket
|
| 18 |
-
from compassflow.utils import starstarmap
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
class OSSFileManager:
|
| 22 |
-
def __init__(
|
| 23 |
-
self,
|
| 24 |
-
oss_access_key_id: str = None,
|
| 25 |
-
oss_access_key_secret: str = None,
|
| 26 |
-
region: str = "http://oss-cn-shanghai.aliyuncs.com",
|
| 27 |
-
bucket_name: str = "opencompass",
|
| 28 |
-
oss_block_name: str = None,
|
| 29 |
-
logger: Logger = logger,
|
| 30 |
-
) -> None:
|
| 31 |
-
"""OSS File Manager
|
| 32 |
-
|
| 33 |
-
Args:
|
| 34 |
-
oss_access_key_id (str, optional): _description_. Defaults to None.
|
| 35 |
-
oss_access_key_secret (str, optional): _description_. Defaults to None.
|
| 36 |
-
region (_type_, optional): _description_. Defaults to 'http://oss-cn-shanghai.aliyuncs.com'.
|
| 37 |
-
bucket_name (str, optional): _description_. Defaults to 'opencompass'.
|
| 38 |
-
oss_block_name: oss_block_name which is defined in the prefect
|
| 39 |
-
logger (Logger, optional): _description_. Defaults to logger.
|
| 40 |
-
"""
|
| 41 |
-
self.logger = logger
|
| 42 |
-
if oss_block_name is not None:
|
| 43 |
-
oss_bucket = OssBucket.load(oss_block_name)
|
| 44 |
-
self._bucket = oss_bucket._get_bucket()
|
| 45 |
-
return
|
| 46 |
-
|
| 47 |
-
# 阿里云账号AccessKey拥有所有API的访问权限,风险很高。强烈建议您创建并使用RAM账号进行API访问或日常运维,请登录RAM控制台创建RAM账号。
|
| 48 |
-
if oss_access_key_id is not None and oss_access_key_secret is not None:
|
| 49 |
-
os.environ["OSS_ACCESS_KEY_ID"] = oss_access_key_id
|
| 50 |
-
os.environ["OSS_ACCESS_KEY_SECRET"] = oss_access_key_secret
|
| 51 |
-
|
| 52 |
-
if (
|
| 53 |
-
os.getenv("OSS_ACCESS_KEY_ID") is None
|
| 54 |
-
or os.getenv("OSS_ACCESS_KEY_SECRET") is None
|
| 55 |
-
):
|
| 56 |
-
raise ValueError("Access Key ID and Access Key Secret cannot be empty.")
|
| 57 |
-
|
| 58 |
-
auth = oss2.ProviderAuth(EnvironmentVariableCredentialsProvider())
|
| 59 |
-
|
| 60 |
-
# Endpoint以杭州为例,其它Region请按实际情况填写。
|
| 61 |
-
# 填写Bucket名称,例如examplebucket。
|
| 62 |
-
bucket = oss2.Bucket(
|
| 63 |
-
auth=auth,
|
| 64 |
-
endpoint=region,
|
| 65 |
-
bucket_name=bucket_name,
|
| 66 |
-
)
|
| 67 |
-
|
| 68 |
-
self._bucket = bucket
|
| 69 |
-
|
| 70 |
-
def list_latest_files_by_date(
|
| 71 |
-
self,
|
| 72 |
-
object_dir: str = "",
|
| 73 |
-
delimiter: str = "/",
|
| 74 |
-
start_date: Union[str, dt.date, dt.datetime] = None,
|
| 75 |
-
end_date: Union[str, dt.date, dt.datetime] = None,
|
| 76 |
-
max_num_files: int = 10,
|
| 77 |
-
date_pattern: str = r"([0-9]{4}-[0-9]{2}-[0-9]{2})",
|
| 78 |
-
file_date_format: str = "%Y-%m-%d",
|
| 79 |
-
suffix: str = "",
|
| 80 |
-
) -> List[Union[str, Path]]:
|
| 81 |
-
"""List the latest files by date in an OSS bucket directory
|
| 82 |
-
|
| 83 |
-
Args:
|
| 84 |
-
object_dir (str, optional): _description_. Defaults to ''.
|
| 85 |
-
delimiter (str, optional): _description_. Defaults to '/'.
|
| 86 |
-
start_date (Union[str, dt.date], optional): _description_. Defaults to None.
|
| 87 |
-
end_date (Union[str, dt.date], optional): _description_. Defaults to None.
|
| 88 |
-
max_num_files (int, optional): _description_. Defaults to 10.
|
| 89 |
-
date_pattern (str, optional): _description_. Defaults to r'^([0-9]{4}-[0-9]{2}-[0-9]{2})'.
|
| 90 |
-
suffix (str, optional): _description_. Defaults to ''.
|
| 91 |
-
|
| 92 |
-
Returns:
|
| 93 |
-
List[Union[str, Path]]: _description_
|
| 94 |
-
"""
|
| 95 |
-
if start_date is not None:
|
| 96 |
-
if isinstance(start_date, str):
|
| 97 |
-
start_date = dt.datetime.strptime(start_date.replace("-", ""), "%Y%m%d")
|
| 98 |
-
|
| 99 |
-
if isinstance(start_date, dt.date):
|
| 100 |
-
start_date = dt.datetime(
|
| 101 |
-
start_date.year, start_date.month, start_date.day, 0, 0, 0
|
| 102 |
-
)
|
| 103 |
-
|
| 104 |
-
if end_date is not None:
|
| 105 |
-
if isinstance(end_date, str):
|
| 106 |
-
end_date = dt.datetime.strptime(end_date.replace("-", ""), "%Y%m%d")
|
| 107 |
-
|
| 108 |
-
if isinstance(end_date, dt.date):
|
| 109 |
-
end_date = dt.datetime(
|
| 110 |
-
end_date.year, end_date.month, end_date.day, 0, 0, 0
|
| 111 |
-
)
|
| 112 |
-
|
| 113 |
-
object_iter = oss2.ObjectIterator(
|
| 114 |
-
bucket=self._bucket, prefix=object_dir, delimiter=delimiter
|
| 115 |
-
)
|
| 116 |
-
|
| 117 |
-
root_dir = Path(object_dir)
|
| 118 |
-
filenames = []
|
| 119 |
-
for filename in object_iter:
|
| 120 |
-
filename = filename.key.replace(object_dir, "")
|
| 121 |
-
# print(filename)
|
| 122 |
-
|
| 123 |
-
if filename.endswith(suffix):
|
| 124 |
-
# Match date pattern in filename
|
| 125 |
-
date_search = re.search(date_pattern, filename)
|
| 126 |
-
if date_search:
|
| 127 |
-
file_date = dt.datetime.strptime(
|
| 128 |
-
date_search.group(1), file_date_format
|
| 129 |
-
)
|
| 130 |
-
else:
|
| 131 |
-
self.logger.warning(
|
| 132 |
-
f"date pattern doesn't match, skipping file {filename}"
|
| 133 |
-
)
|
| 134 |
-
continue
|
| 135 |
-
|
| 136 |
-
# Check if file date within specified range
|
| 137 |
-
if start_date is not None:
|
| 138 |
-
if start_date > file_date:
|
| 139 |
-
continue
|
| 140 |
-
|
| 141 |
-
if end_date is not None:
|
| 142 |
-
if end_date < file_date:
|
| 143 |
-
continue
|
| 144 |
-
|
| 145 |
-
filepath = root_dir / filename
|
| 146 |
-
# name_tstamp_tuple = (filepath, os.path.getmtime(filepath))
|
| 147 |
-
# filenames.append(name_tstamp_tuple)
|
| 148 |
-
filenames.append(str(filepath))
|
| 149 |
-
# sort by tstamp
|
| 150 |
-
# filenames = sorted(filenames, key=lambda x: x[1])
|
| 151 |
-
filenames = sorted(filenames)
|
| 152 |
-
# filenames = [x[0] for x in filenames]
|
| 153 |
-
|
| 154 |
-
max_num_files = max_num_files or len(filenames)
|
| 155 |
-
filenames = filenames[-max_num_files:]
|
| 156 |
-
|
| 157 |
-
self.logger.info(f"{filenames=}")
|
| 158 |
-
|
| 159 |
-
return filenames
|
| 160 |
-
|
| 161 |
-
def download_object_to_file(
|
| 162 |
-
self,
|
| 163 |
-
oss_file_path: str | Path,
|
| 164 |
-
local_file_path: str | Path,
|
| 165 |
-
replace: bool = False,
|
| 166 |
-
make_dir: bool = False,
|
| 167 |
-
print_logs: bool = True,
|
| 168 |
-
):
|
| 169 |
-
"""Download a single OSS object to local file.
|
| 170 |
-
|
| 171 |
-
Args:
|
| 172 |
-
oss_file_path (str): _description_
|
| 173 |
-
local_file_path (str): _description_
|
| 174 |
-
replace (bool, optional): _description_. Defaults to False.
|
| 175 |
-
make_dir (bool, optional): Whether to create intermediate dirs if they don't exist. Defaults to False.
|
| 176 |
-
print_logs: bool, optional): Whether to print logs. Defaults to True.
|
| 177 |
-
"""
|
| 178 |
-
if isinstance(local_file_path, str):
|
| 179 |
-
local_file_path = Path(local_file_path)
|
| 180 |
-
|
| 181 |
-
if not replace:
|
| 182 |
-
if local_file_path.exists():
|
| 183 |
-
if print_logs:
|
| 184 |
-
err_msg = f"{local_file_path} already exists, skipping file..."
|
| 185 |
-
self.logger.info(err_msg)
|
| 186 |
-
|
| 187 |
-
return
|
| 188 |
-
|
| 189 |
-
if print_logs:
|
| 190 |
-
if local_file_path.exists():
|
| 191 |
-
err_msg = f"{local_file_path} already exists, replacing file..."
|
| 192 |
-
self.logger.info(err_msg)
|
| 193 |
-
|
| 194 |
-
if make_dir:
|
| 195 |
-
os.makedirs(local_file_path.parent, exist_ok=True)
|
| 196 |
-
|
| 197 |
-
self._bucket.get_object_to_file(
|
| 198 |
-
key=str(oss_file_path),
|
| 199 |
-
filename=local_file_path,
|
| 200 |
-
)
|
| 201 |
-
|
| 202 |
-
def download_objects_to_files(
|
| 203 |
-
self,
|
| 204 |
-
file_download_mapping: list[tuple[str | Path, str | Path]],
|
| 205 |
-
oss_base_dir: str = None,
|
| 206 |
-
local_base_dir: str = None,
|
| 207 |
-
replace: bool = True,
|
| 208 |
-
num_threads: int = 1,
|
| 209 |
-
**kwargs,
|
| 210 |
-
) -> None:
|
| 211 |
-
"""Download objects from OSS to local storage.
|
| 212 |
-
|
| 213 |
-
Args:
|
| 214 |
-
file_download_mapping (list[tuple[str | Path, str | Path]]): A list of file path pairs that maps the OSS file path (to download) to the local file path (download location).
|
| 215 |
-
oss_base_dir (str): OSS directory path to be prepended to all OSS file paths.
|
| 216 |
-
local_base_dir (str, optional): Base directory path to be prepended to all local file paths.
|
| 217 |
-
replace (bool, optional): _description_. Defaults to True.
|
| 218 |
-
num_threads (int, optional): _description_. Defaults to 1.
|
| 219 |
-
**kwargs: Additional keyword arguments passed to `list_latest_files_by_date`
|
| 220 |
-
"""
|
| 221 |
-
if isinstance(oss_base_dir, str):
|
| 222 |
-
oss_base_dir = Path(oss_base_dir)
|
| 223 |
-
|
| 224 |
-
if isinstance(local_base_dir, str):
|
| 225 |
-
local_base_dir = Path(local_base_dir)
|
| 226 |
-
|
| 227 |
-
if not isinstance(file_download_mapping, list):
|
| 228 |
-
raise TypeError("file_download_mapping must be a list of 2 value tuples.")
|
| 229 |
-
|
| 230 |
-
for item in file_download_mapping:
|
| 231 |
-
if not isinstance(item, tuple):
|
| 232 |
-
raise TypeError(
|
| 233 |
-
"Each item in the file_download_mapping list must be a 2 value tuple."
|
| 234 |
-
)
|
| 235 |
-
|
| 236 |
-
if len(item) != 2:
|
| 237 |
-
raise ValueError(
|
| 238 |
-
"Each tuple in the file_download_mapping list must be length 2."
|
| 239 |
-
)
|
| 240 |
-
|
| 241 |
-
if num_threads == 1:
|
| 242 |
-
for local_file_path, oss_file_path in file_download_mapping:
|
| 243 |
-
if local_base_dir is not None:
|
| 244 |
-
local_file_path = local_base_dir / local_file_path
|
| 245 |
-
|
| 246 |
-
if oss_base_dir is not None:
|
| 247 |
-
oss_file_path = oss_base_dir / oss_file_path
|
| 248 |
-
|
| 249 |
-
self.download_object_to_file(
|
| 250 |
-
oss_file_path=oss_file_path,
|
| 251 |
-
local_file_path=local_file_path,
|
| 252 |
-
replace=replace,
|
| 253 |
-
)
|
| 254 |
-
|
| 255 |
-
return
|
| 256 |
-
|
| 257 |
-
# Start multithreaded process if num_threads > 1
|
| 258 |
-
with ThreadPool(num_threads) as p:
|
| 259 |
-
pool_args_list = []
|
| 260 |
-
for local_file_path, oss_file_path in file_download_mapping:
|
| 261 |
-
if local_base_dir is not None:
|
| 262 |
-
local_file_path = local_base_dir / local_file_path
|
| 263 |
-
|
| 264 |
-
if oss_base_dir is not None:
|
| 265 |
-
oss_file_path = oss_base_dir / oss_file_path
|
| 266 |
-
|
| 267 |
-
args_dict = dict(
|
| 268 |
-
oss_file_path=oss_file_path,
|
| 269 |
-
local_file_path=local_file_path,
|
| 270 |
-
replace=replace,
|
| 271 |
-
print_logs=True,
|
| 272 |
-
)
|
| 273 |
-
pool_args_list.append(args_dict)
|
| 274 |
-
|
| 275 |
-
ret_all = list(
|
| 276 |
-
tqdm(
|
| 277 |
-
starstarmap(
|
| 278 |
-
pool=p,
|
| 279 |
-
fn=self.download_object_to_file,
|
| 280 |
-
kwargs_iter=pool_args_list,
|
| 281 |
-
),
|
| 282 |
-
total=len(file_download_mapping),
|
| 283 |
-
)
|
| 284 |
-
)
|
| 285 |
-
|
| 286 |
-
def download_latest_objects_to_dir(
|
| 287 |
-
self,
|
| 288 |
-
oss_object_dir: str,
|
| 289 |
-
local_dir: str,
|
| 290 |
-
start_date: Union[str, dt.date, dt.datetime] = None,
|
| 291 |
-
end_date: Union[str, dt.date, dt.datetime] = None,
|
| 292 |
-
date_pattern: str = r"([0-9]{4}-[0-9]{2}-[0-9]{2})",
|
| 293 |
-
file_date_format: str = "%Y-%m-%d",
|
| 294 |
-
max_num_files: int = 5,
|
| 295 |
-
replace: bool = True,
|
| 296 |
-
make_dir: bool = True,
|
| 297 |
-
delimiter: str = "/",
|
| 298 |
-
num_threads: int = 1,
|
| 299 |
-
suffix: str = "",
|
| 300 |
-
**kwargs,
|
| 301 |
-
) -> None:
|
| 302 |
-
"""Download the latest objects from oss to local directory
|
| 303 |
-
|
| 304 |
-
Args:
|
| 305 |
-
oss_object_dir (str): _description_
|
| 306 |
-
local_dir (str): _description_
|
| 307 |
-
start_date (Union[str, dt.date, dt.datetime], optional): _description_. Defaults to None.
|
| 308 |
-
end_date (Union[str, dt.date, dt.datetime], optional): _description_. Defaults to None.
|
| 309 |
-
max_num_files (int, optional): _description_. Defaults to 5.
|
| 310 |
-
replace (bool, optional): _description_. Defaults to True.
|
| 311 |
-
delimiter (str, optional): _description_. Defaults to '/'.
|
| 312 |
-
num_threads (int, optional): _description_. Defaults to 1.
|
| 313 |
-
suffix (str, optional): _description_. Defaults to ''.
|
| 314 |
-
**kwargs: Additional keyword arguments passed to `list_latest_files_by_date`
|
| 315 |
-
"""
|
| 316 |
-
if isinstance(local_dir, str):
|
| 317 |
-
local_dir = Path(local_dir)
|
| 318 |
-
|
| 319 |
-
oss_file_list = self.list_latest_files_by_date(
|
| 320 |
-
object_dir=oss_object_dir,
|
| 321 |
-
delimiter=delimiter,
|
| 322 |
-
start_date=start_date,
|
| 323 |
-
end_date=end_date,
|
| 324 |
-
date_pattern=date_pattern,
|
| 325 |
-
file_date_format=file_date_format,
|
| 326 |
-
max_num_files=max_num_files,
|
| 327 |
-
suffix=suffix,
|
| 328 |
-
**kwargs,
|
| 329 |
-
)
|
| 330 |
-
|
| 331 |
-
if num_threads == 1:
|
| 332 |
-
for oss_file_path in oss_file_list:
|
| 333 |
-
file_name = Path(oss_file_path).name
|
| 334 |
-
local_file_path = local_dir / file_name
|
| 335 |
-
|
| 336 |
-
self.download_object_to_file(
|
| 337 |
-
oss_file_path=oss_file_path,
|
| 338 |
-
local_file_path=local_file_path,
|
| 339 |
-
replace=replace,
|
| 340 |
-
make_dir=make_dir,
|
| 341 |
-
)
|
| 342 |
-
|
| 343 |
-
return
|
| 344 |
-
|
| 345 |
-
# Start multithreaded process if num_threads > 1
|
| 346 |
-
with ThreadPool(num_threads) as p:
|
| 347 |
-
pool_args_list = []
|
| 348 |
-
for oss_file_path in oss_file_list:
|
| 349 |
-
file_name = Path(oss_file_path).name
|
| 350 |
-
local_file_path = local_dir / file_name
|
| 351 |
-
|
| 352 |
-
args_dict = dict(
|
| 353 |
-
oss_file_path=str(oss_file_path),
|
| 354 |
-
local_file_path=str(local_file_path),
|
| 355 |
-
replace=replace,
|
| 356 |
-
make_dir=make_dir,
|
| 357 |
-
print_logs=True,
|
| 358 |
-
)
|
| 359 |
-
pool_args_list.append(args_dict)
|
| 360 |
-
|
| 361 |
-
ret_all = list(
|
| 362 |
-
tqdm(
|
| 363 |
-
starstarmap(
|
| 364 |
-
pool=p,
|
| 365 |
-
fn=self.download_object_to_file,
|
| 366 |
-
kwargs_iter=pool_args_list,
|
| 367 |
-
),
|
| 368 |
-
total=len(oss_file_list),
|
| 369 |
-
)
|
| 370 |
-
)
|
| 371 |
-
|
| 372 |
-
def upload_file_to_object(
|
| 373 |
-
self,
|
| 374 |
-
local_file_path: str,
|
| 375 |
-
oss_file_path: str | Path,
|
| 376 |
-
replace: bool = False,
|
| 377 |
-
print_logs: bool = True,
|
| 378 |
-
):
|
| 379 |
-
"""Upload a single local file to OSS
|
| 380 |
-
|
| 381 |
-
Args:
|
| 382 |
-
oss_file_path (str): _description_
|
| 383 |
-
local_file_path (str): _description_
|
| 384 |
-
replace (bool, optional): _description_. Defaults to False.
|
| 385 |
-
"""
|
| 386 |
-
if isinstance(local_file_path, Path):
|
| 387 |
-
local_file_path = str(local_file_path)
|
| 388 |
-
|
| 389 |
-
if isinstance(oss_file_path, Path):
|
| 390 |
-
oss_file_path = str(oss_file_path)
|
| 391 |
-
|
| 392 |
-
# Check if file already exists
|
| 393 |
-
is_file_exists = self._bucket.object_exists(
|
| 394 |
-
key=oss_file_path,
|
| 395 |
-
)
|
| 396 |
-
|
| 397 |
-
if is_file_exists:
|
| 398 |
-
if replace:
|
| 399 |
-
if print_logs:
|
| 400 |
-
err_msg = f"{oss_file_path} already exists, replacing file..."
|
| 401 |
-
self.logger.info(err_msg)
|
| 402 |
-
|
| 403 |
-
self._bucket.put_object_from_file(
|
| 404 |
-
key=str(oss_file_path),
|
| 405 |
-
filename=local_file_path,
|
| 406 |
-
)
|
| 407 |
-
|
| 408 |
-
else:
|
| 409 |
-
if print_logs:
|
| 410 |
-
err_msg = f"{oss_file_path} already exists, skipping file..."
|
| 411 |
-
self.logger.info(err_msg)
|
| 412 |
-
|
| 413 |
-
return
|
| 414 |
-
|
| 415 |
-
self._bucket.put_object_from_file(
|
| 416 |
-
key=oss_file_path,
|
| 417 |
-
filename=local_file_path,
|
| 418 |
-
)
|
| 419 |
-
|
| 420 |
-
def upload_files_to_objects(
|
| 421 |
-
self,
|
| 422 |
-
file_upload_mapping: list[tuple[str | Path, str | Path]],
|
| 423 |
-
local_base_dir: str = None,
|
| 424 |
-
oss_base_dir: str = None,
|
| 425 |
-
replace: bool = True,
|
| 426 |
-
num_threads: int = 1,
|
| 427 |
-
**kwargs,
|
| 428 |
-
) -> None:
|
| 429 |
-
"""Upload files from local storage to OSS.
|
| 430 |
-
|
| 431 |
-
Args:
|
| 432 |
-
file_upload_mapping (list[tuple[str | Path, str | Path]]): A list of file path pairs that maps the local file path (to upload) to the OSS file path (upload location).
|
| 433 |
-
oss_base_dir (str): OSS directory path to be prepended to all OSS file paths.
|
| 434 |
-
local_base_dir (str, optional): Base directory path to be prepended to all local file paths.
|
| 435 |
-
replace (bool, optional): _description_. Defaults to True.
|
| 436 |
-
num_threads (int, optional): _description_. Defaults to 1.
|
| 437 |
-
**kwargs: Additional keyword arguments passed to `list_latest_files_by_date`
|
| 438 |
-
"""
|
| 439 |
-
if isinstance(oss_base_dir, str):
|
| 440 |
-
oss_base_dir = Path(oss_base_dir)
|
| 441 |
-
|
| 442 |
-
if isinstance(local_base_dir, str):
|
| 443 |
-
local_base_dir = Path(local_base_dir)
|
| 444 |
-
|
| 445 |
-
if not isinstance(file_upload_mapping, list):
|
| 446 |
-
raise TypeError("file_upload_mapping must be a list of 2 value tuples.")
|
| 447 |
-
|
| 448 |
-
for item in file_upload_mapping:
|
| 449 |
-
if not isinstance(item, tuple):
|
| 450 |
-
raise TypeError(
|
| 451 |
-
"Each item in the file_upload_mapping list must be a 2 value tuple."
|
| 452 |
-
)
|
| 453 |
-
|
| 454 |
-
if len(item) != 2:
|
| 455 |
-
raise ValueError(
|
| 456 |
-
"Each tuple in the file_upload_mapping list must be length 2."
|
| 457 |
-
)
|
| 458 |
-
|
| 459 |
-
if num_threads == 1:
|
| 460 |
-
for local_file_path, oss_file_path in file_upload_mapping:
|
| 461 |
-
if local_base_dir is not None:
|
| 462 |
-
local_file_path = local_base_dir / local_file_path
|
| 463 |
-
|
| 464 |
-
if oss_base_dir is not None:
|
| 465 |
-
oss_file_path = oss_base_dir / oss_file_path
|
| 466 |
-
|
| 467 |
-
self.upload_file_to_object(
|
| 468 |
-
oss_file_path=oss_file_path,
|
| 469 |
-
local_file_path=local_file_path,
|
| 470 |
-
replace=replace,
|
| 471 |
-
)
|
| 472 |
-
|
| 473 |
-
return
|
| 474 |
-
|
| 475 |
-
# Start multithreaded process if num_threads > 1
|
| 476 |
-
with ThreadPool(num_threads) as p:
|
| 477 |
-
pool_args_list = []
|
| 478 |
-
for local_file_path, oss_file_path in file_upload_mapping:
|
| 479 |
-
if local_base_dir is not None:
|
| 480 |
-
local_file_path = local_base_dir / local_file_path
|
| 481 |
-
|
| 482 |
-
if oss_base_dir is not None:
|
| 483 |
-
oss_file_path = oss_base_dir / oss_file_path
|
| 484 |
-
|
| 485 |
-
args_dict = dict(
|
| 486 |
-
oss_file_path=oss_file_path,
|
| 487 |
-
local_file_path=local_file_path,
|
| 488 |
-
replace=replace,
|
| 489 |
-
print_logs=True,
|
| 490 |
-
)
|
| 491 |
-
pool_args_list.append(args_dict)
|
| 492 |
-
|
| 493 |
-
ret_all = list(
|
| 494 |
-
tqdm(
|
| 495 |
-
starstarmap(
|
| 496 |
-
pool=p,
|
| 497 |
-
fn=self.upload_file_to_object,
|
| 498 |
-
kwargs_iter=pool_args_list,
|
| 499 |
-
),
|
| 500 |
-
total=len(file_upload_mapping),
|
| 501 |
-
)
|
| 502 |
-
)
|
| 503 |
-
|
| 504 |
-
@property
|
| 505 |
-
def bucket(self) -> oss2.Bucket:
|
| 506 |
-
return self._bucket
|
| 507 |
-
|
| 508 |
-
|
| 509 |
-
# %%
|
| 510 |
-
if __name__ == "__main__":
|
| 511 |
-
# %% Initialize
|
| 512 |
-
oss_file_manager = OSSFileManager(logger=logger)
|
| 513 |
-
|
| 514 |
-
# %% List the latest files by date (based on file suffix) in an OSS directory
|
| 515 |
-
oss_file_manager.list_latest_files_by_date(
|
| 516 |
-
"compass-arena/dev/data/conversations/", max_num_files=5
|
| 517 |
-
)
|
|
|
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|
|
src/oss/oss_file_manager_simple.py
DELETED
|
@@ -1,254 +0,0 @@
|
|
| 1 |
-
#!/usr/bin/env python3
|
| 2 |
-
"""
|
| 3 |
-
简化的OSS文件管理器 - 专为SAGE-Bench HuggingFace Space设计
|
| 4 |
-
移除了对 compassflow 的依赖,只保留必需的OSS功能
|
| 5 |
-
"""
|
| 6 |
-
|
| 7 |
-
import os
|
| 8 |
-
import oss2
|
| 9 |
-
import json
|
| 10 |
-
from datetime import datetime
|
| 11 |
-
from pathlib import Path
|
| 12 |
-
from typing import List, Dict, Optional
|
| 13 |
-
from loguru import logger
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
class OSSFileManager:
|
| 17 |
-
"""简化的OSS文件管理器"""
|
| 18 |
-
|
| 19 |
-
def __init__(
|
| 20 |
-
self,
|
| 21 |
-
oss_access_key_id: str = None,
|
| 22 |
-
oss_access_key_secret: str = None,
|
| 23 |
-
oss_region: str = None,
|
| 24 |
-
oss_bucket_name: str = None
|
| 25 |
-
):
|
| 26 |
-
"""
|
| 27 |
-
初始化OSS文件管理器
|
| 28 |
-
|
| 29 |
-
Args:
|
| 30 |
-
oss_access_key_id: OSS访问密钥ID
|
| 31 |
-
oss_access_key_secret: OSS访问密钥Secret
|
| 32 |
-
oss_region: OSS区域端点
|
| 33 |
-
oss_bucket_name: OSS存储桶名称
|
| 34 |
-
"""
|
| 35 |
-
# 从环境变量获取配置
|
| 36 |
-
self.access_key_id = oss_access_key_id or os.getenv('OSS_ACCESS_KEY_ID')
|
| 37 |
-
self.access_key_secret = oss_access_key_secret or os.getenv('OSS_ACCESS_KEY_SECRET')
|
| 38 |
-
self.region = oss_region or os.getenv('OSS_REGION', 'http://oss-cn-shanghai.aliyuncs.com')
|
| 39 |
-
self.bucket_name = oss_bucket_name or os.getenv('OSS_BUCKET_NAME', 'opencompass')
|
| 40 |
-
|
| 41 |
-
if not self.access_key_id or not self.access_key_secret:
|
| 42 |
-
raise ValueError("OSS访问密钥未设置。请设置 OSS_ACCESS_KEY_ID 和 OSS_ACCESS_KEY_SECRET 环境变量。")
|
| 43 |
-
|
| 44 |
-
# 初始化OSS客户端
|
| 45 |
-
auth = oss2.Auth(self.access_key_id, self.access_key_secret)
|
| 46 |
-
self.bucket = oss2.Bucket(auth, self.region, self.bucket_name)
|
| 47 |
-
|
| 48 |
-
logger.info(f"OSS初始化成功: {self.bucket_name} @ {self.region}")
|
| 49 |
-
|
| 50 |
-
def list_files(
|
| 51 |
-
self,
|
| 52 |
-
oss_dir: str = "",
|
| 53 |
-
after_date: datetime = None,
|
| 54 |
-
file_extension: str = None
|
| 55 |
-
) -> List[Dict]:
|
| 56 |
-
"""
|
| 57 |
-
列出OSS目录中的文件
|
| 58 |
-
|
| 59 |
-
Args:
|
| 60 |
-
oss_dir: OSS目录路径
|
| 61 |
-
after_date: 只返回此日期之后的文件
|
| 62 |
-
file_extension: 文件扩展名过滤 (如 ".json")
|
| 63 |
-
|
| 64 |
-
Returns:
|
| 65 |
-
文件信息列表
|
| 66 |
-
"""
|
| 67 |
-
try:
|
| 68 |
-
files = []
|
| 69 |
-
|
| 70 |
-
# 确保目录路径以 / 结尾
|
| 71 |
-
if oss_dir and not oss_dir.endswith('/'):
|
| 72 |
-
oss_dir += '/'
|
| 73 |
-
|
| 74 |
-
# 列出对象
|
| 75 |
-
for obj in oss2.ObjectIterator(self.bucket, prefix=oss_dir):
|
| 76 |
-
# 跳过目录本身
|
| 77 |
-
if obj.key.endswith('/'):
|
| 78 |
-
continue
|
| 79 |
-
|
| 80 |
-
# 文件扩展名过滤
|
| 81 |
-
if file_extension and not obj.key.endswith(file_extension):
|
| 82 |
-
continue
|
| 83 |
-
|
| 84 |
-
# 日期过滤
|
| 85 |
-
if after_date and obj.last_modified < after_date:
|
| 86 |
-
continue
|
| 87 |
-
|
| 88 |
-
file_info = {
|
| 89 |
-
'key': obj.key,
|
| 90 |
-
'name': os.path.basename(obj.key),
|
| 91 |
-
'size': obj.size,
|
| 92 |
-
'last_modified': obj.last_modified,
|
| 93 |
-
'etag': obj.etag
|
| 94 |
-
}
|
| 95 |
-
files.append(file_info)
|
| 96 |
-
|
| 97 |
-
logger.info(f"找到 {len(files)} 个文件在 {oss_dir}")
|
| 98 |
-
return files
|
| 99 |
-
|
| 100 |
-
except Exception as e:
|
| 101 |
-
logger.error(f"列出文件失败: {e}")
|
| 102 |
-
raise
|
| 103 |
-
|
| 104 |
-
def download_file(self, oss_file_path: str, local_file_path: str) -> bool:
|
| 105 |
-
"""
|
| 106 |
-
从OSS下载文件到本地
|
| 107 |
-
|
| 108 |
-
Args:
|
| 109 |
-
oss_file_path: OSS文件路径
|
| 110 |
-
local_file_path: 本地文件路径
|
| 111 |
-
|
| 112 |
-
Returns:
|
| 113 |
-
下载是否成功
|
| 114 |
-
"""
|
| 115 |
-
try:
|
| 116 |
-
# 确保本地目录存在
|
| 117 |
-
local_dir = os.path.dirname(local_file_path)
|
| 118 |
-
if local_dir:
|
| 119 |
-
os.makedirs(local_dir, exist_ok=True)
|
| 120 |
-
|
| 121 |
-
# 下载文件
|
| 122 |
-
self.bucket.get_object_to_file(oss_file_path, local_file_path)
|
| 123 |
-
|
| 124 |
-
logger.info(f"下载成功: {oss_file_path} -> {local_file_path}")
|
| 125 |
-
return True
|
| 126 |
-
|
| 127 |
-
except Exception as e:
|
| 128 |
-
logger.error(f"下载文件失败: {oss_file_path} -> {local_file_path}, 错误: {e}")
|
| 129 |
-
return False
|
| 130 |
-
|
| 131 |
-
def upload_file_to_object(
|
| 132 |
-
self,
|
| 133 |
-
local_file_path: str,
|
| 134 |
-
oss_file_path: str,
|
| 135 |
-
replace: bool = False
|
| 136 |
-
) -> bool:
|
| 137 |
-
"""
|
| 138 |
-
上传本地文件到OSS
|
| 139 |
-
|
| 140 |
-
Args:
|
| 141 |
-
local_file_path: 本地文件路径
|
| 142 |
-
oss_file_path: OSS文件路径
|
| 143 |
-
replace: 是否替换已存在的文件
|
| 144 |
-
|
| 145 |
-
Returns:
|
| 146 |
-
上传是否成功
|
| 147 |
-
"""
|
| 148 |
-
try:
|
| 149 |
-
# 检查本地文件是否存在
|
| 150 |
-
if not os.path.exists(local_file_path):
|
| 151 |
-
logger.error(f"本地文件不存在: {local_file_path}")
|
| 152 |
-
return False
|
| 153 |
-
|
| 154 |
-
# 检查OSS文件是否存在
|
| 155 |
-
if not replace and self.bucket.object_exists(oss_file_path):
|
| 156 |
-
logger.warning(f"OSS文件已存在: {oss_file_path}")
|
| 157 |
-
return False
|
| 158 |
-
|
| 159 |
-
# 上传文件
|
| 160 |
-
self.bucket.put_object_from_file(oss_file_path, local_file_path)
|
| 161 |
-
|
| 162 |
-
logger.info(f"上传成功: {local_file_path} -> {oss_file_path}")
|
| 163 |
-
return True
|
| 164 |
-
|
| 165 |
-
except Exception as e:
|
| 166 |
-
logger.error(f"上传文件失败: {local_file_path} -> {oss_file_path}, 错误: {e}")
|
| 167 |
-
return False
|
| 168 |
-
|
| 169 |
-
def file_exists(self, oss_file_path: str) -> bool:
|
| 170 |
-
"""
|
| 171 |
-
检查OSS文件是否存在
|
| 172 |
-
|
| 173 |
-
Args:
|
| 174 |
-
oss_file_path: OSS文件路径
|
| 175 |
-
|
| 176 |
-
Returns:
|
| 177 |
-
文件是否存在
|
| 178 |
-
"""
|
| 179 |
-
try:
|
| 180 |
-
return self.bucket.object_exists(oss_file_path)
|
| 181 |
-
except Exception as e:
|
| 182 |
-
logger.error(f"检查文件存在性失败: {oss_file_path}, 错误: {e}")
|
| 183 |
-
return False
|
| 184 |
-
|
| 185 |
-
def get_file_info(self, oss_file_path: str) -> Optional[Dict]:
|
| 186 |
-
"""
|
| 187 |
-
获取OSS文件信息
|
| 188 |
-
|
| 189 |
-
Args:
|
| 190 |
-
oss_file_path: OSS文件路径
|
| 191 |
-
|
| 192 |
-
Returns:
|
| 193 |
-
文件信息字典
|
| 194 |
-
"""
|
| 195 |
-
try:
|
| 196 |
-
obj = self.bucket.get_object_meta(oss_file_path)
|
| 197 |
-
|
| 198 |
-
return {
|
| 199 |
-
'key': oss_file_path,
|
| 200 |
-
'name': os.path.basename(oss_file_path),
|
| 201 |
-
'size': obj.content_length,
|
| 202 |
-
'last_modified': obj.last_modified,
|
| 203 |
-
'etag': obj.etag,
|
| 204 |
-
'content_type': obj.content_type
|
| 205 |
-
}
|
| 206 |
-
|
| 207 |
-
except oss2.exceptions.NoSuchKey:
|
| 208 |
-
logger.warning(f"文件不存在: {oss_file_path}")
|
| 209 |
-
return None
|
| 210 |
-
except Exception as e:
|
| 211 |
-
logger.error(f"获取文件信息失败: {oss_file_path}, 错误: {e}")
|
| 212 |
-
return None
|
| 213 |
-
|
| 214 |
-
def delete_file(self, oss_file_path: str) -> bool:
|
| 215 |
-
"""
|
| 216 |
-
删除OSS文件
|
| 217 |
-
|
| 218 |
-
Args:
|
| 219 |
-
oss_file_path: OSS文件路径
|
| 220 |
-
|
| 221 |
-
Returns:
|
| 222 |
-
删除是否成功
|
| 223 |
-
"""
|
| 224 |
-
try:
|
| 225 |
-
self.bucket.delete_object(oss_file_path)
|
| 226 |
-
logger.info(f"删除成功: {oss_file_path}")
|
| 227 |
-
return True
|
| 228 |
-
|
| 229 |
-
except Exception as e:
|
| 230 |
-
logger.error(f"删除文件失败: {oss_file_path}, 错误: {e}")
|
| 231 |
-
return False
|
| 232 |
-
|
| 233 |
-
|
| 234 |
-
# 兼容性别名 - 保持与原始代码的兼容性
|
| 235 |
-
class SimpleOSSManager(OSSFileManager):
|
| 236 |
-
"""兼容性别名"""
|
| 237 |
-
pass
|
| 238 |
-
|
| 239 |
-
|
| 240 |
-
if __name__ == "__main__":
|
| 241 |
-
# 测试代码
|
| 242 |
-
try:
|
| 243 |
-
manager = OSSFileManager()
|
| 244 |
-
print("✅ OSS文件管理器初始化成功")
|
| 245 |
-
|
| 246 |
-
# 测试列出文件
|
| 247 |
-
files = manager.list_files("atlas_eval/submissions/", file_extension=".json")
|
| 248 |
-
print(f"📁 找到 {len(files)} 个提交文件")
|
| 249 |
-
|
| 250 |
-
for file_info in files[:3]: # 只显示前3个
|
| 251 |
-
print(f" - {file_info['name']} ({file_info['size']} bytes)")
|
| 252 |
-
|
| 253 |
-
except Exception as e:
|
| 254 |
-
print(f"❌ 测试失败: {e}")
|
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|
|
src/oss/oss_leaderboard_manager.py
ADDED
|
@@ -0,0 +1,263 @@
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
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|
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|
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|
|
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|
|
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|
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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 |
+
#!/usr/bin/env python3
|
| 2 |
+
"""
|
| 3 |
+
OSS排行榜管理器 - 从OSS读取和更新排行榜数据
|
| 4 |
+
"""
|
| 5 |
+
|
| 6 |
+
import os
|
| 7 |
+
import json
|
| 8 |
+
import tempfile
|
| 9 |
+
from datetime import datetime
|
| 10 |
+
from pathlib import Path
|
| 11 |
+
from typing import Dict, List, Any, Optional
|
| 12 |
+
from .oss_file_manager import OSSFileManager
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
class OSSLeaderboardManager:
|
| 16 |
+
"""OSS排行榜管理器 - 管理存储在OSS中的排行榜数据"""
|
| 17 |
+
|
| 18 |
+
def __init__(self):
|
| 19 |
+
"""初始化OSS排行榜管理器"""
|
| 20 |
+
self.oss_manager = OSSFileManager()
|
| 21 |
+
|
| 22 |
+
# OSS路径配置
|
| 23 |
+
self.leaderboard_path = "atlas_eval/leaderboard/"
|
| 24 |
+
self.backup_path = "atlas_eval/leaderboard/backup/"
|
| 25 |
+
self.leaderboard_file = "initial_sage_results.json"
|
| 26 |
+
|
| 27 |
+
# 完整的OSS路径
|
| 28 |
+
self.oss_leaderboard_file = f"{self.leaderboard_path}{self.leaderboard_file}"
|
| 29 |
+
|
| 30 |
+
print(f"📊 OSS排行榜路径: oss://opencompass/{self.oss_leaderboard_file}")
|
| 31 |
+
print(f"📦 OSS备份路径: oss://opencompass/{self.backup_path}")
|
| 32 |
+
|
| 33 |
+
def load_leaderboard_from_oss(self) -> List[Dict[str, Any]]:
|
| 34 |
+
"""
|
| 35 |
+
从OSS加载排行榜数据
|
| 36 |
+
|
| 37 |
+
Returns:
|
| 38 |
+
排行榜数据列表
|
| 39 |
+
"""
|
| 40 |
+
try:
|
| 41 |
+
print(f"📥 从OSS加载排行榜数据: {self.oss_leaderboard_file}")
|
| 42 |
+
|
| 43 |
+
# 从OSS下载文件内容
|
| 44 |
+
content = self.oss_manager.download_file_content(self.oss_leaderboard_file)
|
| 45 |
+
|
| 46 |
+
if content:
|
| 47 |
+
leaderboard_data = json.loads(content.decode('utf-8'))
|
| 48 |
+
print(f"✅ 成功加载 {len(leaderboard_data)} 条排行榜记录")
|
| 49 |
+
return leaderboard_data
|
| 50 |
+
else:
|
| 51 |
+
print("⚠️ OSS中未找到排行榜文件,返回空列表")
|
| 52 |
+
return []
|
| 53 |
+
|
| 54 |
+
except Exception as e:
|
| 55 |
+
print(f"❌ 从OSS加载排行榜失败: {e}")
|
| 56 |
+
return []
|
| 57 |
+
|
| 58 |
+
def save_leaderboard_to_oss(self, leaderboard_data: List[Dict[str, Any]],
|
| 59 |
+
create_backup: bool = True) -> bool:
|
| 60 |
+
"""
|
| 61 |
+
保存排行榜数据到OSS
|
| 62 |
+
|
| 63 |
+
Args:
|
| 64 |
+
leaderboard_data: 排行榜数据
|
| 65 |
+
create_backup: 是否创建备份
|
| 66 |
+
|
| 67 |
+
Returns:
|
| 68 |
+
是否保存成功
|
| 69 |
+
"""
|
| 70 |
+
try:
|
| 71 |
+
print(f"📤 保存排行榜数据到OSS: {self.oss_leaderboard_file}")
|
| 72 |
+
|
| 73 |
+
# 创建备份(如果需要且现有文件存在)
|
| 74 |
+
if create_backup:
|
| 75 |
+
self._create_backup()
|
| 76 |
+
|
| 77 |
+
# 创建临时文件
|
| 78 |
+
with tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False) as temp_file:
|
| 79 |
+
json.dump(leaderboard_data, temp_file, indent=2, ensure_ascii=False)
|
| 80 |
+
temp_file_path = temp_file.name
|
| 81 |
+
|
| 82 |
+
try:
|
| 83 |
+
# 上传到OSS
|
| 84 |
+
success = self.oss_manager.upload_file(
|
| 85 |
+
local_file_path=temp_file_path,
|
| 86 |
+
oss_file_path=self.oss_leaderboard_file
|
| 87 |
+
)
|
| 88 |
+
|
| 89 |
+
if success:
|
| 90 |
+
print(f"✅ 成功保存 {len(leaderboard_data)} 条排行榜记录到OSS")
|
| 91 |
+
return True
|
| 92 |
+
else:
|
| 93 |
+
print("❌ 上传排行榜文件到OSS失败")
|
| 94 |
+
return False
|
| 95 |
+
|
| 96 |
+
finally:
|
| 97 |
+
# 清理临时文件
|
| 98 |
+
try:
|
| 99 |
+
os.unlink(temp_file_path)
|
| 100 |
+
except:
|
| 101 |
+
pass
|
| 102 |
+
|
| 103 |
+
except Exception as e:
|
| 104 |
+
print(f"❌ 保存排行榜到OSS失败: {e}")
|
| 105 |
+
return False
|
| 106 |
+
|
| 107 |
+
def _create_backup(self) -> bool:
|
| 108 |
+
"""
|
| 109 |
+
创建当前排行榜文件的备份
|
| 110 |
+
|
| 111 |
+
Returns:
|
| 112 |
+
是否备份成功
|
| 113 |
+
"""
|
| 114 |
+
try:
|
| 115 |
+
# 检查原文件是否存在
|
| 116 |
+
if not self.oss_manager.file_exists(self.oss_leaderboard_file):
|
| 117 |
+
print("📋 原排行榜文件不存在,跳过备份")
|
| 118 |
+
return True
|
| 119 |
+
|
| 120 |
+
# 生成备份文件名
|
| 121 |
+
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
|
| 122 |
+
backup_filename = f"initial_sage_results.json.backup_{timestamp}"
|
| 123 |
+
backup_path = f"{self.backup_path}{backup_filename}"
|
| 124 |
+
|
| 125 |
+
# 复制文件到备份路径
|
| 126 |
+
success = self.oss_manager.copy_file(
|
| 127 |
+
source_path=self.oss_leaderboard_file,
|
| 128 |
+
target_path=backup_path
|
| 129 |
+
)
|
| 130 |
+
|
| 131 |
+
if success:
|
| 132 |
+
print(f"📦 创建备份成功: {backup_path}")
|
| 133 |
+
return True
|
| 134 |
+
else:
|
| 135 |
+
print(f"❌ 创建备份失败: {backup_path}")
|
| 136 |
+
return False
|
| 137 |
+
|
| 138 |
+
except Exception as e:
|
| 139 |
+
print(f"❌ 创建备份时出错: {e}")
|
| 140 |
+
return False
|
| 141 |
+
|
| 142 |
+
def add_evaluation_result(self, result_data: Dict[str, Any]) -> bool:
|
| 143 |
+
"""
|
| 144 |
+
添加新的评测结果到排行榜
|
| 145 |
+
|
| 146 |
+
Args:
|
| 147 |
+
result_data: 评测结果数据
|
| 148 |
+
|
| 149 |
+
Returns:
|
| 150 |
+
是否添加成功
|
| 151 |
+
"""
|
| 152 |
+
try:
|
| 153 |
+
# 加载现有排行榜
|
| 154 |
+
leaderboard_data = self.load_leaderboard_from_oss()
|
| 155 |
+
|
| 156 |
+
# 检查是否已存在相同的提交(基于organization和submitted_time)
|
| 157 |
+
existing_entry = None
|
| 158 |
+
for i, entry in enumerate(leaderboard_data):
|
| 159 |
+
if (entry.get("organization") == result_data.get("organization") and
|
| 160 |
+
entry.get("submitted_time") == result_data.get("submitted_time")):
|
| 161 |
+
existing_entry = i
|
| 162 |
+
break
|
| 163 |
+
|
| 164 |
+
if existing_entry is not None:
|
| 165 |
+
print(f"🔄 更新现有排行榜条目: {result_data.get('organization')}")
|
| 166 |
+
leaderboard_data[existing_entry] = result_data
|
| 167 |
+
else:
|
| 168 |
+
print(f"➕ 添加新的排行榜条目: {result_data.get('organization')}")
|
| 169 |
+
leaderboard_data.append(result_data)
|
| 170 |
+
|
| 171 |
+
# 按总分排序
|
| 172 |
+
leaderboard_data.sort(
|
| 173 |
+
key=lambda x: x.get("results", {}).get("sage_overall", 0),
|
| 174 |
+
reverse=True
|
| 175 |
+
)
|
| 176 |
+
|
| 177 |
+
# 保存到OSS
|
| 178 |
+
return self.save_leaderboard_to_oss(leaderboard_data)
|
| 179 |
+
|
| 180 |
+
except Exception as e:
|
| 181 |
+
print(f"❌ 添加评测结果失败: {e}")
|
| 182 |
+
return False
|
| 183 |
+
|
| 184 |
+
def get_leaderboard_summary(self) -> Dict[str, Any]:
|
| 185 |
+
"""
|
| 186 |
+
获取排行榜摘要信息
|
| 187 |
+
|
| 188 |
+
Returns:
|
| 189 |
+
排行榜摘要
|
| 190 |
+
"""
|
| 191 |
+
try:
|
| 192 |
+
leaderboard_data = self.load_leaderboard_from_oss()
|
| 193 |
+
|
| 194 |
+
if not leaderboard_data:
|
| 195 |
+
return {"total_entries": 0, "last_updated": None}
|
| 196 |
+
|
| 197 |
+
# 统计信息
|
| 198 |
+
total_entries = len(leaderboard_data)
|
| 199 |
+
|
| 200 |
+
# 获取最新更新时间
|
| 201 |
+
latest_time = None
|
| 202 |
+
for entry in leaderboard_data:
|
| 203 |
+
eval_time = entry.get("evaluation_timestamp")
|
| 204 |
+
if eval_time and (latest_time is None or eval_time > latest_time):
|
| 205 |
+
latest_time = eval_time
|
| 206 |
+
|
| 207 |
+
# 获取最高分
|
| 208 |
+
top_scores = {}
|
| 209 |
+
if leaderboard_data:
|
| 210 |
+
top_entry = leaderboard_data[0] # 已按分数排序
|
| 211 |
+
top_scores = top_entry.get("results", {})
|
| 212 |
+
|
| 213 |
+
return {
|
| 214 |
+
"total_entries": total_entries,
|
| 215 |
+
"last_updated": latest_time,
|
| 216 |
+
"top_scores": top_scores,
|
| 217 |
+
"oss_path": self.oss_leaderboard_file
|
| 218 |
+
}
|
| 219 |
+
|
| 220 |
+
except Exception as e:
|
| 221 |
+
print(f"❌ 获取排行榜摘要失败: {e}")
|
| 222 |
+
return {"error": str(e)}
|
| 223 |
+
|
| 224 |
+
def migrate_local_to_oss(self, local_file_path: str) -> bool:
|
| 225 |
+
"""
|
| 226 |
+
将本地排行榜文件迁移到OSS
|
| 227 |
+
|
| 228 |
+
Args:
|
| 229 |
+
local_file_path: 本地文件路径
|
| 230 |
+
|
| 231 |
+
Returns:
|
| 232 |
+
是否迁移成功
|
| 233 |
+
"""
|
| 234 |
+
try:
|
| 235 |
+
if not os.path.exists(local_file_path):
|
| 236 |
+
print(f"❌ 本地文件不存在: {local_file_path}")
|
| 237 |
+
return False
|
| 238 |
+
|
| 239 |
+
# 读取本地文件
|
| 240 |
+
with open(local_file_path, 'r', encoding='utf-8') as f:
|
| 241 |
+
leaderboard_data = json.load(f)
|
| 242 |
+
|
| 243 |
+
print(f"📤 迁移 {len(leaderboard_data)} 条记录到OSS")
|
| 244 |
+
|
| 245 |
+
# 保存到OSS
|
| 246 |
+
return self.save_leaderboard_to_oss(leaderboard_data, create_backup=False)
|
| 247 |
+
|
| 248 |
+
except Exception as e:
|
| 249 |
+
print(f"❌ 迁移文件到OSS失败: {e}")
|
| 250 |
+
return False
|
| 251 |
+
|
| 252 |
+
|
| 253 |
+
if __name__ == "__main__":
|
| 254 |
+
# 测试OSS排行榜管理器
|
| 255 |
+
manager = OSSLeaderboardManager()
|
| 256 |
+
|
| 257 |
+
# 打印摘要信息
|
| 258 |
+
summary = manager.get_leaderboard_summary()
|
| 259 |
+
print(f"📊 排行榜摘要: {summary}")
|
| 260 |
+
|
| 261 |
+
# 测试加载排行榜
|
| 262 |
+
leaderboard = manager.load_leaderboard_from_oss()
|
| 263 |
+
print(f"📋 排行榜条目数: {len(leaderboard)}")
|
src/populate.py
CHANGED
|
@@ -74,7 +74,42 @@ try:
|
|
| 74 |
return data_dict
|
| 75 |
|
| 76 |
def load_initial_sage_results_local() -> List[SAGEResult]:
|
| 77 |
-
"""Load initial SAGE results
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 78 |
possible_paths = [
|
| 79 |
"./initial_sage_results.json",
|
| 80 |
"initial_sage_results.json",
|
|
@@ -87,18 +122,18 @@ try:
|
|
| 87 |
initial_results_path = path
|
| 88 |
break
|
| 89 |
|
| 90 |
-
sage_results = []
|
| 91 |
-
|
| 92 |
if initial_results_path:
|
| 93 |
try:
|
| 94 |
with open(initial_results_path, 'r') as f:
|
| 95 |
initial_data = json.load(f)
|
| 96 |
|
|
|
|
|
|
|
| 97 |
for i, entry in enumerate(initial_data):
|
| 98 |
sage_result = SAGEResult(
|
| 99 |
-
submission_id=f"
|
| 100 |
-
organization=f"{entry['organization']} ({entry
|
| 101 |
-
email=f"contact@{entry['organization'].lower().replace(' ', '')}.com",
|
| 102 |
results=entry["results"],
|
| 103 |
num_predictions=1000,
|
| 104 |
submitted_time=entry["submitted_time"],
|
|
@@ -107,9 +142,9 @@ try:
|
|
| 107 |
sage_results.append(sage_result)
|
| 108 |
|
| 109 |
except Exception as e:
|
| 110 |
-
print(f"
|
| 111 |
else:
|
| 112 |
-
print(f"
|
| 113 |
|
| 114 |
return sage_results
|
| 115 |
|
|
|
|
| 74 |
return data_dict
|
| 75 |
|
| 76 |
def load_initial_sage_results_local() -> List[SAGEResult]:
|
| 77 |
+
"""Load initial SAGE results from OSS or local files"""
|
| 78 |
+
sage_results = []
|
| 79 |
+
|
| 80 |
+
# 尝试从OSS加载
|
| 81 |
+
try:
|
| 82 |
+
# 导入OSS排行榜管理器(现在在本地oss目录中)
|
| 83 |
+
from src.oss.oss_leaderboard_manager import OSSLeaderboardManager
|
| 84 |
+
|
| 85 |
+
# 从OSS加载排行榜数据
|
| 86 |
+
leaderboard_manager = OSSLeaderboardManager()
|
| 87 |
+
initial_data = leaderboard_manager.load_leaderboard_from_oss()
|
| 88 |
+
|
| 89 |
+
if initial_data:
|
| 90 |
+
print(f"✅ 从OSS加载了 {len(initial_data)} 条排行榜记录")
|
| 91 |
+
|
| 92 |
+
for i, entry in enumerate(initial_data):
|
| 93 |
+
sage_result = SAGEResult(
|
| 94 |
+
submission_id=f"oss_{i:02d}_{entry['model_name'].replace(' ', '_').replace('-', '_')}",
|
| 95 |
+
organization=f"{entry['organization']} ({entry.get('tokens', 'N/A')})",
|
| 96 |
+
email=entry.get('contact_email', f"contact@{entry['organization'].lower().replace(' ', '')}.com"),
|
| 97 |
+
results=entry["results"],
|
| 98 |
+
num_predictions=1000,
|
| 99 |
+
submitted_time=entry["submitted_time"],
|
| 100 |
+
status="EVALUATED"
|
| 101 |
+
)
|
| 102 |
+
sage_results.append(sage_result)
|
| 103 |
+
|
| 104 |
+
return sage_results
|
| 105 |
+
else:
|
| 106 |
+
print("⚠️ OSS中未找到排行榜数据,尝试本地文件")
|
| 107 |
+
|
| 108 |
+
except Exception as e:
|
| 109 |
+
print(f"⚠️ 从OSS加载排行榜失败: {e}")
|
| 110 |
+
print("🔄 回退到本地文件模式")
|
| 111 |
+
|
| 112 |
+
# 回退到本地文件模式
|
| 113 |
possible_paths = [
|
| 114 |
"./initial_sage_results.json",
|
| 115 |
"initial_sage_results.json",
|
|
|
|
| 122 |
initial_results_path = path
|
| 123 |
break
|
| 124 |
|
|
|
|
|
|
|
| 125 |
if initial_results_path:
|
| 126 |
try:
|
| 127 |
with open(initial_results_path, 'r') as f:
|
| 128 |
initial_data = json.load(f)
|
| 129 |
|
| 130 |
+
print(f"✅ 从本地文件加载了 {len(initial_data)} 条排行榜记录: {initial_results_path}")
|
| 131 |
+
|
| 132 |
for i, entry in enumerate(initial_data):
|
| 133 |
sage_result = SAGEResult(
|
| 134 |
+
submission_id=f"local_{i:02d}_{entry['model_name'].replace(' ', '_').replace('-', '_')}",
|
| 135 |
+
organization=f"{entry['organization']} ({entry.get('tokens', 'N/A')})",
|
| 136 |
+
email=entry.get('contact_email', f"contact@{entry['organization'].lower().replace(' ', '')}.com"),
|
| 137 |
results=entry["results"],
|
| 138 |
num_predictions=1000,
|
| 139 |
submitted_time=entry["submitted_time"],
|
|
|
|
| 142 |
sage_results.append(sage_result)
|
| 143 |
|
| 144 |
except Exception as e:
|
| 145 |
+
print(f"❌ 从本地文件加载排行榜失败 {initial_results_path}: {e}")
|
| 146 |
else:
|
| 147 |
+
print(f"❌ 未找到排行榜文件。尝试过的路径: {possible_paths}")
|
| 148 |
|
| 149 |
return sage_results
|
| 150 |
|
submissions/submission_aaa_20250905_094557.json
DELETED
|
@@ -1,81 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"submission_org": "aaa",
|
| 3 |
-
"submission_email": "nlp2ct.shudong@gmail.com",
|
| 4 |
-
"predictions": [
|
| 5 |
-
{
|
| 6 |
-
"original_question_id": 0,
|
| 7 |
-
"content": [
|
| 8 |
-
"42",
|
| 9 |
-
"The answer is 42",
|
| 10 |
-
"Forty-two",
|
| 11 |
-
"6 × 7"
|
| 12 |
-
],
|
| 13 |
-
"reasoning_content": [
|
| 14 |
-
"This is a mathematical calculation based on multiplication.",
|
| 15 |
-
"The problem asks for the product of 6 and 7, which equals 42.",
|
| 16 |
-
"Using basic arithmetic: 6 × 7 = 42",
|
| 17 |
-
"The ultimate answer to life, the universe, and everything is 42."
|
| 18 |
-
]
|
| 19 |
-
},
|
| 20 |
-
{
|
| 21 |
-
"original_question_id": 1,
|
| 22 |
-
"content": [
|
| 23 |
-
"H2O",
|
| 24 |
-
"Water",
|
| 25 |
-
"Dihydrogen monoxide",
|
| 26 |
-
"Two hydrogen atoms and one oxygen atom"
|
| 27 |
-
],
|
| 28 |
-
"reasoning_content": [
|
| 29 |
-
"Water is composed of two hydrogen atoms and one oxygen atom.",
|
| 30 |
-
"The chemical formula for water is H2O.",
|
| 31 |
-
"This is the most common compound on Earth's surface.",
|
| 32 |
-
"Water exists in three states: solid (ice), liquid (water), and gas (steam)."
|
| 33 |
-
]
|
| 34 |
-
},
|
| 35 |
-
{
|
| 36 |
-
"original_question_id": 2,
|
| 37 |
-
"content": [
|
| 38 |
-
"DNA",
|
| 39 |
-
"Deoxyribonucleic acid",
|
| 40 |
-
"Genetic material",
|
| 41 |
-
"Double helix structure"
|
| 42 |
-
],
|
| 43 |
-
"reasoning_content": [
|
| 44 |
-
"DNA carries genetic information in living organisms.",
|
| 45 |
-
"It has a double helix structure discovered by Watson and Crick.",
|
| 46 |
-
"DNA is composed of four nucleotides: A, T, G, C.",
|
| 47 |
-
"It's located primarily in the cell nucleus."
|
| 48 |
-
]
|
| 49 |
-
},
|
| 50 |
-
{
|
| 51 |
-
"original_question_id": 3,
|
| 52 |
-
"content": [
|
| 53 |
-
"9.8 m/s²",
|
| 54 |
-
"9.81 m/s²",
|
| 55 |
-
"About 10 m/s²",
|
| 56 |
-
"Standard gravity"
|
| 57 |
-
],
|
| 58 |
-
"reasoning_content": [
|
| 59 |
-
"Earth's gravitational acceleration is approximately 9.8 m/s².",
|
| 60 |
-
"This value varies slightly depending on location and altitude.",
|
| 61 |
-
"It's the acceleration experienced by objects in free fall.",
|
| 62 |
-
"This constant is fundamental in physics calculations."
|
| 63 |
-
]
|
| 64 |
-
},
|
| 65 |
-
{
|
| 66 |
-
"original_question_id": 4,
|
| 67 |
-
"content": [
|
| 68 |
-
"Photosynthesis",
|
| 69 |
-
"6CO2 + 6H2O + light → C6H12O6 + 6O2",
|
| 70 |
-
"Converting light to chemical energy",
|
| 71 |
-
"Chlorophyll process"
|
| 72 |
-
],
|
| 73 |
-
"reasoning_content": [
|
| 74 |
-
"Photosynthesis is how plants convert sunlight into chemical energy.",
|
| 75 |
-
"The process uses carbon dioxide, water, and sunlight to produce glucose.",
|
| 76 |
-
"Chlorophyll in plant leaves captures light energy.",
|
| 77 |
-
"Oxygen is released as a byproduct of this process."
|
| 78 |
-
]
|
| 79 |
-
}
|
| 80 |
-
]
|
| 81 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
submissions/submission_aaa_20250905_094707.json
DELETED
|
@@ -1,81 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"submission_org": "aaa",
|
| 3 |
-
"submission_email": "nlp2ct.shudong@gmail.com",
|
| 4 |
-
"predictions": [
|
| 5 |
-
{
|
| 6 |
-
"original_question_id": 0,
|
| 7 |
-
"content": [
|
| 8 |
-
"42",
|
| 9 |
-
"The answer is 42",
|
| 10 |
-
"Forty-two",
|
| 11 |
-
"6 × 7"
|
| 12 |
-
],
|
| 13 |
-
"reasoning_content": [
|
| 14 |
-
"This is a mathematical calculation based on multiplication.",
|
| 15 |
-
"The problem asks for the product of 6 and 7, which equals 42.",
|
| 16 |
-
"Using basic arithmetic: 6 × 7 = 42",
|
| 17 |
-
"The ultimate answer to life, the universe, and everything is 42."
|
| 18 |
-
]
|
| 19 |
-
},
|
| 20 |
-
{
|
| 21 |
-
"original_question_id": 1,
|
| 22 |
-
"content": [
|
| 23 |
-
"H2O",
|
| 24 |
-
"Water",
|
| 25 |
-
"Dihydrogen monoxide",
|
| 26 |
-
"Two hydrogen atoms and one oxygen atom"
|
| 27 |
-
],
|
| 28 |
-
"reasoning_content": [
|
| 29 |
-
"Water is composed of two hydrogen atoms and one oxygen atom.",
|
| 30 |
-
"The chemical formula for water is H2O.",
|
| 31 |
-
"This is the most common compound on Earth's surface.",
|
| 32 |
-
"Water exists in three states: solid (ice), liquid (water), and gas (steam)."
|
| 33 |
-
]
|
| 34 |
-
},
|
| 35 |
-
{
|
| 36 |
-
"original_question_id": 2,
|
| 37 |
-
"content": [
|
| 38 |
-
"DNA",
|
| 39 |
-
"Deoxyribonucleic acid",
|
| 40 |
-
"Genetic material",
|
| 41 |
-
"Double helix structure"
|
| 42 |
-
],
|
| 43 |
-
"reasoning_content": [
|
| 44 |
-
"DNA carries genetic information in living organisms.",
|
| 45 |
-
"It has a double helix structure discovered by Watson and Crick.",
|
| 46 |
-
"DNA is composed of four nucleotides: A, T, G, C.",
|
| 47 |
-
"It's located primarily in the cell nucleus."
|
| 48 |
-
]
|
| 49 |
-
},
|
| 50 |
-
{
|
| 51 |
-
"original_question_id": 3,
|
| 52 |
-
"content": [
|
| 53 |
-
"9.8 m/s²",
|
| 54 |
-
"9.81 m/s²",
|
| 55 |
-
"About 10 m/s²",
|
| 56 |
-
"Standard gravity"
|
| 57 |
-
],
|
| 58 |
-
"reasoning_content": [
|
| 59 |
-
"Earth's gravitational acceleration is approximately 9.8 m/s².",
|
| 60 |
-
"This value varies slightly depending on location and altitude.",
|
| 61 |
-
"It's the acceleration experienced by objects in free fall.",
|
| 62 |
-
"This constant is fundamental in physics calculations."
|
| 63 |
-
]
|
| 64 |
-
},
|
| 65 |
-
{
|
| 66 |
-
"original_question_id": 4,
|
| 67 |
-
"content": [
|
| 68 |
-
"Photosynthesis",
|
| 69 |
-
"6CO2 + 6H2O + light → C6H12O6 + 6O2",
|
| 70 |
-
"Converting light to chemical energy",
|
| 71 |
-
"Chlorophyll process"
|
| 72 |
-
],
|
| 73 |
-
"reasoning_content": [
|
| 74 |
-
"Photosynthesis is how plants convert sunlight into chemical energy.",
|
| 75 |
-
"The process uses carbon dioxide, water, and sunlight to produce glucose.",
|
| 76 |
-
"Chlorophyll in plant leaves captures light energy.",
|
| 77 |
-
"Oxygen is released as a byproduct of this process."
|
| 78 |
-
]
|
| 79 |
-
}
|
| 80 |
-
]
|
| 81 |
-
}
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