| { | |
| "config_general": { | |
| "model_name": "Aria", | |
| "model_dtype": "float16", | |
| "model_size": 0 | |
| }, | |
| "results": { | |
| "CMMMU": { | |
| "accuracy": 43.56, | |
| "acc_stderr": 0, | |
| "acc": 43.56 | |
| }, | |
| "MMMU": { | |
| "accuracy": 48.67, | |
| "acc_stderr": 0, | |
| "acc": 48.67 | |
| }, | |
| "MMMU_Pro_standard": { | |
| "accuracy": 32.08, | |
| "acc_stderr": 0, | |
| "acc": 32.08 | |
| }, | |
| "MMMU_Pro_vision": { | |
| "accuracy": 21.21, | |
| "subject_score": { | |
| "History": 25.0, | |
| "Art": 26.42, | |
| "Design": 41.67, | |
| "Literature": 55.77, | |
| "Agriculture": 25.0, | |
| "Finance": 16.67, | |
| "Sociology": 22.22, | |
| "Accounting": 25.86, | |
| "Energy_and_Power": 13.79, | |
| "Pharmacy": 31.58, | |
| "Architecture_and_Engineering": 10.0, | |
| "Clinical_Medicine": 16.95, | |
| "Public_Health": 25.86, | |
| "Physics": 16.67, | |
| "Art_Theory": 21.82, | |
| "Electronics": 13.33, | |
| "Psychology": 25.0, | |
| "Biology": 20.34, | |
| "Manage": 12.0, | |
| "Economics": 22.03, | |
| "Mechanical_Engineering": 20.34, | |
| "Diagnostics_and_Laboratory_Medicine": 10.0, | |
| "Basic_Medical_Science": 23.08, | |
| "Computer_Science": 23.33, | |
| "Math": 23.33, | |
| "Music": 20.0, | |
| "Materials": 8.33, | |
| "Marketing": 15.25, | |
| "Chemistry": 15.0, | |
| "Geography": 13.46 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 21.21 | |
| }, | |
| "MmvetV2": { | |
| "accuracy": 55.8414, | |
| "capability_scores": { | |
| "math": 45.0, | |
| "ocr": 60.673076923076906, | |
| "spat": 50.65989847715736, | |
| "rec": 54.63592233009711, | |
| "know": 51.602564102564095, | |
| "gen": 56.363636363636346, | |
| "seq": 59.821428571428584 | |
| }, | |
| "capability_detail_scores": { | |
| "math_ocr": 59.09090909090909, | |
| "math_ocr_spat": 39.33333333333333, | |
| "math_rec_ocr_spat": 50.0, | |
| "rec_spat": 46.78571428571429, | |
| "ocr_spat": 52.69230769230769, | |
| "rec_ocr_spat": 31.666666666666664, | |
| "know_ocr_spat": 100.0, | |
| "rec_ocr": 57.49999999999999, | |
| "rec_know_spat": 35.0, | |
| "ocr": 75.3125, | |
| "rec": 63.55932203389829, | |
| "rec_know": 43.84615384615384, | |
| "rec_know_gen": 50.499999999999986, | |
| "rec_know_ocr_gen": 69.23076923076921, | |
| "rec_spat_ocr_gen": 64.41860465116278, | |
| "spat_ocr_gen": 70.0, | |
| "math_gen_seq_ocr_spat": 50.0, | |
| "math_rec_seq_ocr_spat": 0.0, | |
| "rec_spat_gen": 36.36363636363637, | |
| "math_gen_ocr_spat": 0.0, | |
| "seq_rec_spat": 45.714285714285715, | |
| "seq_rec_ocr_spat": 63.33333333333333, | |
| "rec_know_spat_gen": 40.0, | |
| "rec_gen": 61.764705882352956, | |
| "ocr_rec_know_spat": 50.0, | |
| "gen_rec_know_ocr_spat": 55.00000000000001, | |
| "math_rec_ocr": 100.0, | |
| "rec_ocr_gen": 65.99999999999999, | |
| "seq_rec_ocr_gen": 72.85714285714285, | |
| "ocr_gen": 57.692307692307686, | |
| "seq_rec_gen": 59.28571428571428, | |
| "seq_rec": 43.333333333333336, | |
| "seq_rec_spat_gen": 77.5, | |
| "seq_rec_know": 50.0, | |
| "seq_rec_know_gen": 40.0, | |
| "gen_rec_seq_ocr_spat": 53.333333333333336, | |
| "gen_rec_seq_know_ocr": 90.0, | |
| "math_rec_know": 20.0, | |
| "seq_rec_ocr": 100.0, | |
| "rec_know_ocr_spat": 50.0 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 55.8414 | |
| }, | |
| "MathVerse": { | |
| "Text Dominant": { | |
| "accuracy": 41.37, | |
| "correct": 326, | |
| "total": 788 | |
| }, | |
| "Total": { | |
| "accuracy": 33.25, | |
| "correct": 1310, | |
| "total": 3940 | |
| }, | |
| "Text Lite": { | |
| "accuracy": 34.64, | |
| "correct": 273, | |
| "total": 788 | |
| }, | |
| "Vision Intensive": { | |
| "accuracy": 33.63, | |
| "correct": 265, | |
| "total": 788 | |
| }, | |
| "Vision Dominant": { | |
| "accuracy": 32.49, | |
| "correct": 256, | |
| "total": 788 | |
| }, | |
| "Vision Only": { | |
| "accuracy": 24.11, | |
| "correct": 190, | |
| "total": 788 | |
| }, | |
| "accuracy": 33.25, | |
| "acc_stderr": 0, | |
| "acc": 33.25 | |
| }, | |
| "Ocrlite": { | |
| "final_score": [ | |
| 1089, | |
| 1645 | |
| ], | |
| "accuracy": 66.201, | |
| "Key Information Extraction-Bookshelf": [ | |
| 19, | |
| 52 | |
| ], | |
| "Scene Text-centric VQA-diet_constraints": [ | |
| 49, | |
| 90 | |
| ], | |
| "Doc-oriented VQA-Control": [ | |
| 123, | |
| 189 | |
| ], | |
| "Doc-oriented VQA": [ | |
| 128, | |
| 204 | |
| ], | |
| "Scene Text-centric VQA-Fake_logo": [ | |
| 49, | |
| 119 | |
| ], | |
| "Handwritten Mathematical Expression Recognition": [ | |
| 24, | |
| 100 | |
| ], | |
| "Key Information Extraction": [ | |
| 166, | |
| 209 | |
| ], | |
| "Scene Text-centric VQA-Control": [ | |
| 164, | |
| 200 | |
| ], | |
| "Scene Text-centric VQA": [ | |
| 211, | |
| 282 | |
| ], | |
| "Artistic Text Recognition": [ | |
| 39, | |
| 50 | |
| ], | |
| "Irregular Text Recognition": [ | |
| 37, | |
| 50 | |
| ], | |
| "Non-Semantic Text Recognition": [ | |
| 32, | |
| 50 | |
| ], | |
| "Regular Text Recognition": [ | |
| 48, | |
| 50 | |
| ], | |
| "acc_stderr": 0, | |
| "acc": 66.201 | |
| }, | |
| "OcrliteZh": { | |
| "final_score": [ | |
| 80, | |
| 234 | |
| ], | |
| "accuracy": 34.188, | |
| "Docvqa": [ | |
| 3, | |
| 10 | |
| ], | |
| "Chartqa-human": [ | |
| 2, | |
| 10 | |
| ], | |
| "Chartqa-au": [ | |
| 3, | |
| 10 | |
| ], | |
| "infographic": [ | |
| 3, | |
| 10 | |
| ], | |
| "Key Information Extraction": [ | |
| 29, | |
| 45 | |
| ], | |
| "Scene Text-centric VQA": [ | |
| 17, | |
| 40 | |
| ], | |
| "Artistic Text Recognition": [ | |
| 0, | |
| 11 | |
| ], | |
| "IrRegular Text Recognition": [ | |
| 0, | |
| 11 | |
| ], | |
| "Non-semantic Text Recognition": [ | |
| 5, | |
| 12 | |
| ], | |
| "Regular Text Recognition": [ | |
| 1, | |
| 11 | |
| ], | |
| "Handwriting_CN": [ | |
| 4, | |
| 20 | |
| ], | |
| "Chinese Unlimited": [ | |
| 13, | |
| 44 | |
| ], | |
| "acc_stderr": 0, | |
| "acc": 34.188 | |
| }, | |
| "CharXiv": { | |
| "descriptive": { | |
| "Overall Score": 57.65, | |
| "By Question": { | |
| "Q1": 43.44, | |
| "Q2": 75.65, | |
| "Q3": 65.24, | |
| "Q4": 73.54, | |
| "Q5": 77.41, | |
| "Q6": 63.45, | |
| "Q7": 59.4, | |
| "Q8": 62.95, | |
| "Q9": 53.73, | |
| "Q10": 68.49, | |
| "Q11": 40.57, | |
| "Q12": 58.79, | |
| "Q13": 51.6, | |
| "Q14": 57.45, | |
| "Q15": 41.53, | |
| "Q16": 58.33, | |
| "Q17": 12.5, | |
| "Q18": 70.04, | |
| "Q19": 75.38 | |
| }, | |
| "By Category": { | |
| "Information Extraction": 65.42, | |
| "Enumeration": 52.78, | |
| "Pattern Recognition": 57.86, | |
| "Counting": 65.14, | |
| "Compositionality": 12.5 | |
| }, | |
| "By Subplot": { | |
| "1 Subplot": 61.59, | |
| "2-4 Subplots": 57.28, | |
| "5+ Subplots": 51.8 | |
| }, | |
| "By Subject": { | |
| "Computer Science": 55.56, | |
| "Economics": 60.33, | |
| "Electrical Engineering and Systems Science": 59.87, | |
| "Mathematics": 58.89, | |
| "Physics": 51.77, | |
| "Quantitative Biology": 53.77, | |
| "Quantitative Finance": 57.97, | |
| "Statistics": 63.5 | |
| }, | |
| "By Year": { | |
| "2020": 57.59, | |
| "2021": 56.61, | |
| "2022": 57.38, | |
| "2023": 59.07 | |
| }, | |
| "N_valid": 4000, | |
| "N_invalid": 0, | |
| "Question Type": "Descriptive" | |
| }, | |
| "reasoning": { | |
| "Overall Score": 28.9, | |
| "By Answer Type": { | |
| "Text-in-Chart": 33.18, | |
| "Text-in-General": 42.42, | |
| "Number-in-Chart": 28.88, | |
| "Number-in-General": 14.85 | |
| }, | |
| "By Source": { | |
| "GPT-Sourced": 29.89, | |
| "GPT-Inspired": 23.61, | |
| "Completely Human": 30.5 | |
| }, | |
| "By Subject": { | |
| "Computer Science": 25.4, | |
| "Economics": 26.09, | |
| "Electrical Engineering and Systems Science": 31.09, | |
| "Mathematics": 29.63, | |
| "Physics": 32.28, | |
| "Quantitative Biology": 28.57, | |
| "Quantitative Finance": 22.41, | |
| "Statistics": 36.28 | |
| }, | |
| "By Year": { | |
| "2020": 27.94, | |
| "2021": 35.63, | |
| "2022": 24.18, | |
| "2023": 27.42 | |
| }, | |
| "By Subplot": { | |
| "1 Subplot": 28.24, | |
| "2-4 Subplots": 30.16, | |
| "5+ Subplots": 27.97 | |
| }, | |
| "N_valid": 1000, | |
| "N_invalid": 3, | |
| "Question Type": "Reasoning" | |
| }, | |
| "accuracy": 43.27, | |
| "acc_stderr": 0, | |
| "acc": 43.27 | |
| }, | |
| "MathVision": { | |
| "accuracy": 13.59, | |
| "acc_stderr": 0, | |
| "acc": 13.59 | |
| }, | |
| "CII-Bench": { | |
| "accuracy": 46.27, | |
| "domain_score": { | |
| "Life": 40.26, | |
| "Art": 45.59, | |
| "CTC": 48.89, | |
| "Society": 46.49, | |
| "Env.": 62.96, | |
| "Politics": 54.17 | |
| }, | |
| "emotion_score": { | |
| "Neutral": 46.62, | |
| "Negative": 46.04, | |
| "Positive": 46.15 | |
| }, | |
| "acc_stderr": 0, | |
| "acc": 46.27 | |
| }, | |
| "Blink": { | |
| "accuracy": 52.18, | |
| "Art Style": 70.09, | |
| "Counting": 58.33, | |
| "Forensic Detection": 58.33, | |
| "Functional Correspondence": 23.08, | |
| "IQ Test": 29.33, | |
| "Jigsaw": 74.0, | |
| "Multi-view Reasoning": 53.38, | |
| "Object Localization": 54.1, | |
| "Relative Depth": 41.94, | |
| "Relative Reflectance": 34.33, | |
| "Semantic Correspondence": 30.22, | |
| "Spatial Relation": 79.02, | |
| "Visual Correspondence": 42.44, | |
| "Visual Similarity": 85.19, | |
| "acc_stderr": 0, | |
| "acc": 52.18 | |
| } | |
| } | |
| } |