add scope c task data

Scope-C/3d-comp.json

@@ -0,0 +1,80 @@
+{
+  "3D Human-related Object Classification": [
+    {
+      "3D Accessory Classification": "3d_classification/ModelNet40/accessory"
+    },
+    {
+      "3D Appliance Classification": "3d_classification/ModelNet40/appliance"
+    },
+    {
+      "3D Tableware Classification": "3d_classification/ModelNet40/tableware"
+    },
+    {
+      "3D Musical Instrument Classification": "3d_classification/ModelNet40/musical_instrument"
+    },
+    {
+      "3D Person Classification": "3d_classification/ModelNet40/person"
+    }
+  ],
+  "3D Geometry Feature Analysis": [],
+  "3D Detection": [],
+  "3D Question Answering": [],
+  "3D Motion Understanding": [],
+  "3D Structure and Environment Classification": [
+    {
+      "3D Furniture Classification": "3d_classification/ModelNet40/furniture"
+    },
+    {
+      "3D Structure Classification": "3d_classification/ModelNet40/structure"
+    }
+  ],
+  "Transportation and Technology Object Classification": [
+    {
+      "3D Electronic Classification": "3d_classification/ModelNet40/electronic"
+    },
+    {
+      "3D Vehicle Classification": "3d_classification/ModelNet40/vehicle"
+    }
+  ],
+  "3D Indoor Scene Semantic Segmentation": [
+    {
+      "3D Indoor Appliance Semantic Segmentation": "3d_indoor_semantic_segmentation"
+    }
+  ],
+  "3D Outdoor Scene Semantic Segmentation": [
+    {
+      "3D Outdoor Semantic Segmentation": "3d_outdoor_semantic_segmentation"
+    }
+  ],
+  "3D Indoor Scene Instance Segmentation": [
+    {
+      "3D Indoor Instance Segmentation": "3d_outdoor_instance_segmentation"
+    }
+  ],
+  "3D Pose Estimation": [
+    {
+      "3D Odometry": "3d_outdoor_odometry"
+    }
+  ],
+  "3D Part Segmentation": [
+    {
+      "3D Aircrafts Part Segmentation": "3d_part_segmentation/aircrafts"
+    },
+    {
+      "3D Personal Item Part Segmentation": "3d_part_segmentation/personal_item"
+    },
+    {
+      "3D Vehicle Part Segmentation": "3d_part_segmentation/vehicles"
+    },
+    {
+      "3D Furniture Part Segmentation": "3d_part_segmentation/furniture"
+    },
+    {
+      "3D Tableware Part Segmentation": "3d_part_segmentation/tableware"
+    },
+    {
+      "3D Weapon Part Segmentation": "3d_part_segmentation/weapons"
+    }
+  ],
+  "3D Tracking": []
+}

Scope-C/3d-gen.json

@@ -0,0 +1,45 @@
+{
+  "Point Cloud Completion": [],
+  "Point Cloud to Mesh Reconstruction": [],
+  "Text to Point Cloud Generation": [
+    {
+      "Text to 3D Living and Arts Point Cloud Generation": "text_2_3d_pointcloud_gen"
+    },
+    {
+      "Text to 3D Science and Technology Point Cloud Generation": "text_2_3d_pointcloud_gen"
+    },
+    {
+      "Text to 3D Nature and Biology Point Cloud Generation": "text_2_3d_pointcloud_gen"
+    },
+    {
+      "Text to 3D Culture and Structure Point Cloud Generation": "text_2_3d_pointcloud_gen"
+    }
+  ],
+  "Text to Mesh Generation": [
+    {
+      "Text to 3D Living and Arts Mesh Generation": "text_2_3d_mesh_gen"
+    },
+    {
+      "Text to 3D Science and Technology Mesh Generation": "text_2_3d_mesh_gen"
+    },
+    {
+      "Text to 3D Nature and Biology Mesh Generation": "text_2_3d_mesh_gen"
+    },
+    {
+      "Text to 3D Culture and Structure Mesh Generation": "text_2_3d_mesh_gen"
+    }
+  ],
+  "Image to Point Cloud Generation": [],
+  "Image to Mesh Generation": [],
+  "RGB-D to Point Cloud Reconstruction": [],
+  "RGB-D to Mesh Reconstruction": [
+    {
+      "RGB-D to Mesh Reconstruction": "rgbd_to_mesh"
+    }
+  ],
+  "Text to 3D Motion Generation": [
+    {
+      "Text to 3D Motion Generation": "text_2_3d_motion_gen"
+    }
+  ]
+}

Scope-C/aud-comp.json

@@ -0,0 +1,92 @@
+{
+  "Speech Accent Understanding": [
+    {
+      "Accent Classification": "AccentClassification"
+    },
+    {
+      "Accent Sex Classification": "AccentSexClassification"
+    },
+    {
+      "Speaker Identification": "SpeakerIdentification"
+    },
+    {
+      "Vocal Sound Classification": "VocalSoundClassification"
+    }
+  ],
+  "Speech Content Understanding": [
+    {
+      "Intent Classification": "IntentClassification"
+    },
+    {
+      "Speech Command": "SpeechCommand"
+    },
+    {
+      "Speech Event Extraction": "SpeechEventExtraction"
+    }
+  ],
+  "Speech Emotion Understanding": [
+    {
+      "Speech Emotion Recognition": "SpeechEmotionRecognition"
+    }
+  ],
+  "Music Understanding": [
+    {
+      "Music Genre Classification": "MusicGenreClassification"
+    },
+    {
+      "Music Instrument Classification": "MusicInstrumentClassification"
+    },
+    {
+      "Music Instrument Source Analysis": "MusicInstrumentSourceAnalysis"
+    },
+    {
+      "Music Pitch Analysis": "MusicPitchAnalysis"
+    }
+  ],
+  "Audio Technique Understanding": [
+    {
+      "Note Qualities Analysis": "NoteQualitiesAnalysis"
+    },
+    {
+      "Singer Identification": "SingerIdentification"
+    },
+    {
+      "Vocal Technique Detection": "VocalTechniqueDetection"
+    }
+  ],
+  "Audio Content Understanding": [
+    {
+      "Long Audio Captioning": "LongAudioCaptioning"
+    },
+    {
+      "Wild Audio Captioning": "WildAudioCaptioning"
+    }
+  ],
+  "General Audio Question Answering": [
+    {
+      "Open Audio Question Answering": "OpenAudioQuestionAnswering"
+    },
+    {
+      "Audio Question Answering": "AudioQuestionAnswering"
+    }
+  ],
+  "Animal Sound Analysis": [
+    {
+      "Bird Sound Detection": "BirdSoundDetection"
+    },
+    {
+      "Animal Sound Detection": "AnimalSoundDetection"
+    }
+  ],
+  "Environment Sound Understanding": [
+    {
+      "Acoustic Scene Recognition": "AcousticSceneRecognition"
+    },
+    {
+      "Environment Sound Recognition": "EnvironmentSoundRecognition"
+    },
+    {
+      "Sound Event Recognition": "SoundEventRecognition"
+    }
+  ]
+}

Scope-C/aud-gen.json

@@ -0,0 +1,84 @@
+{
+  "Audio Edit": [
+    {
+      "AudioEdit": "AudioEdit"
+    }
+  ],
+  "Music Synthesis": [
+    {
+      "Piano-to-Orchestration Generation": "PianoToOrchestrationGeneration"
+    },
+    {
+      "Pop Music Generation": "PopMusicGeneration"
+    },
+    {
+      "Singing Voice Synthesis": "SingingVoiceSynthesis"
+    },
+    {
+      "Song Generation": "SongGeneration"
+    }
+  ],
+  "Music Style Transfer": [
+    {
+      "Music Style Transfer": "MusicStyleTransfer"
+    },
+    {
+      "Chord-based Music Style Transfer": "ChordBasedMusicStyleTransfer"
+    }
+  ],
+  "Dialogue Speech Generation": [
+    {
+      "Daily Talk Generation": "DailyTalkGeneration"
+    }
+  ],
+  "Emotional Speech Generation": [
+    {
+      "Emotional Speech Synthesis": "EmotionalSpeechSynthesis"
+    },
+    {
+      "Emotion Style Transfer": "EmotionStyleTransfer"
+    }
+  ],
+  "Text-To-Speech Synthesis": [
+    {
+      "Text-To-Speech": "TextToSpeech"
+    },
+    {
+      "Multimodal TTS": "MultimodalTTS"
+    }
+  ],
+  "Text-to-Audio Synthesis": [
+    {
+      "Single Caption To Audio Generation": "SingleCaptionToAudio"
+    },
+    {
+      "Two Captions To Audio Generation": "TwoCaptionsToAudio"
+    }
+  ],
+  "Image-to-Audio Synthesis": [
+    {
+      "Image-to-Speech": "ImageToSpeech"
+    }
+  ],
+  "Video-to-Audio Synthesis": [
+    {
+      "Video-to-Audio": "VideoToAudio"
+    }
+  ],
+  "Speech Style Transfer": [
+    {
+      "Voice Conversion": "VoiceConversion"
+    }
+  ],
+  "Speech Translation": [
+    {
+      "Chinese-to-English Speech Translation": "SpeechTranslationChToEn"
+    },
+    {
+      "English-to-Chinese Speech Translation": "SpeechTranslationEnToCh"
+    },
+    {
+      "English-to-Mogolian Speech Translation": "SpeechTranslationEnToMo"
+    }
+  ]
+}

Scope-C/img-comp.json

@@ -0,0 +1,742 @@
+{
+  "Behavior Recognition": [
+    {
+      "Sports Image Classification": "sports_image_classification"
+    }
+  ],
+  "Image Caption": [
+    {
+      "Instagram Image Caption": "instagram_image_caption"
+    },
+    {
+      "Satellite Image Caption": "satellite_image_caption"
+    },
+    {
+      "Astronomy Image Captioning": "astronomy-image-captioning"
+    }
+  ],
+  "Image Depth Estimation": [],
+  "Image Instance Segmentation": [
+    {
+      "Pedestrian Instance Segmentation": "pedestrian_instance_segmentation"
+    },
+    {
+      "Vehicle Instance Segmentation": "vehicle_instance_segmentation"
+    }
+  ],
+  "Image OCR": [
+    {
+      "Handwriting OCR": "handwriting-component-detection"
+    },
+    {
+      "Letter and Number OCR": "letter_and_number_ocr"
+    },
+    {
+      "License Plate OCR": "license_plate_ocr"
+    },
+    {
+      "Radical-Level Oracle Bone Character Recognition": "Radical-LevelOracleBoneCharacterRecognition"
+    }
+  ],
+  "Image Recognition": [
+    {
+      "Latex Code Recognition": "Latex Code Recognition"
+    }
+  ],
+  "Image Semantic Segmentation": [
+    {
+      "Indoor Semantic Segmentation": "indoor_semantic_segmentation"
+    },
+    {
+      "Pedestrian Semantic Segmentation": "pedestrian_semantic_segmentation"
+    },
+    {
+      "Road Semantic Segmentation": "Road_Semantic_Segmentation"
+    },
+    {
+      "Vehicle Semantic Segmentation": "vehicle_semantic_segmentation"
+    },
+    {
+      "People Clothing Segmentation": "people-clothing-segmentation"
+    },
+    {
+      "Flood Area Segmentation": "flood-area-segmentation"
+    }
+  ],
+  "Image Visual Grounding": [
+    {
+      "Short Expression Visual Grounding": "short_expression_visual_grounding"
+    }
+  ],
+  "Image Visual Question Answering": [
+    {
+      "External Knowledge Required Image Question Answering": "Internet-Retrieved-InformationVisualQuestionAnswering"
+    },
+    {
+      "Medical Image Question Answering": "medical_image_qa"
+    },
+    {
+      "Reasoning and Compositional Image Question Answering": "reasoning_and_compositional_image_qa"
+    },
+    {
+      "Geography Visual Question Answering": "geography_vqa"
+    },
+    {
+      "Geometry Visual Question Answering": "geometry_vqa"
+    },
+    {
+      "Lung Nodule Diagnosis Visual Question Answering": "lung_nodule_diagnosis_vqa"
+    },
+    {
+      "Mathematical Statistical Reasoning Visual Question Answering": "mathematical_statistical_reasoning_vqa"
+    },
+    {
+      "Mathematical Textbook Visual Question Answering": "mathematical_textbook_vqa"
+    },
+    {
+      "Mathematical Word Problem Visual Question Answering": "mathematical_word_problem_vqa"
+    },
+    {
+      "Physics Visual Question Answering": "physics_vqa"
+    },
+    {
+      "Mathematical Synthetic Scene Visual Question Answering": "mathematical_synthetic_scene_vqa"
+    },
+    {
+      "Remote Sense Visual Question Answering": "remote_sense_vqa"
+    },
+    {
+      "Skin Disease Visual Question Answering": "skin_disease_diagnosis_vqa"
+    },
+    {
+      "Internet-Retrieved-Information Visual Question Answering": "Internet-Retrieved-InformationVisualQuestionAnswering"
+    },
+    {
+      "Webpage Content Visual Question Answering": "WebpageContentVisualQuestionAnswering"
+    },
+    {
+      "Sporting-related VQA": "Sporting-relatedVQA"
+    },
+    {
+      "Financial Dialogue VQA": "FinancialDialogueVQA"
+    },
+    {
+      "Historical Multi-Source Dialogue": "HistoricalMulti-SourceDialogue"
+    },
+    {
+      "Multi-Turn Interactive Dialogue": "Multi-TurnInteractiveDialogue"
+    },
+    {
+      "Complex Multi-Scenario Dialogue": "ComplexMulti-ScenarioDialogue"
+    },
+    {
+      "Multimodal Slide Question Answering": "MultimodalSlideQuestionAnswering"
+    },
+    {
+      "Multimodal Document VQA": "MultimodalDocumentVQA"
+    },
+    {
+      "Multimodal Document Fine-grained Reasoning": "MultimodalDocumentFine-grainedReasoning"
+    },
+    {
+      "Textbook Diagram VQA": "TextbookDiagramVQA"
+    },
+    {
+      "Education-Related VQA": "Education-RelatedVQA"
+    },
+    {
+      "Book Information VQA": "BookInformationVQA"
+    },
+    {
+      "Textual Document VQA": "TextualDocumentVQA"
+    },
+    {
+      "Text-Table-Image Joint Reasoning": "Text-Table-ImageJointReasoning"
+    },
+    {
+      "Handwritten Formula Visual Question Answering": "Handwritten_Formula_Visual_Question_Answering"
+    },
+    {
+      "Face Comparison Visual Question Answering": "Face_Comparison_Visual_Question_Answering"
+    },
+    {
+      "Image Similarity Visual Question Answering": "Image_Similarity_Visual_Question_Answering"
+    },
+    {
+      "Art Image Visual Question Answering": "ArtImageVisualQuestionAnswering"
+    },
+    {
+      "Culture Image Visual Question Answering": "CultureImageVisualQuestionAnswering"
+    },
+    {
+      "Imge Editing Instruction Generation": "image_editing_instruction_generation"
+    }
+  ],
+  "Industrial Anomaly Detection": [
+    {
+      "Bottle Anomaly Detection": "BottleAnomalyDetection"
+    },
+    {
+      "Cable Anomaly Detection": "CableAnomalyDetection"
+    },
+    {
+      "Capsule Anomaly Detection": "CapsuleAnomalyDetection"
+    },
+    {
+      "Carpet Anomaly Detection": "CarpetAnomalyDetection"
+    },
+    {
+      "Grid Anomaly Detection": "GridAnomalyDetection"
+    },
+    {
+      "Hazelnut Anomaly Detection": "HazelnutAnomalyDetection"
+    },
+    {
+      "Leather Anomaly Detection": "LeatherAnomalyDetection"
+    },
+    {
+      "Metal Nut Anomaly Detection": "MetalNutAnomalyDetection"
+    },
+    {
+      "Pill Anomaly Detection": "PillAnomalyDetection"
+    },
+    {
+      "Screw Anomaly Detection": "ScrewAnomalyDetection"
+    },
+    {
+      "Tile Anomaly Detection": "TileAnomalyDetection"
+    },
+    {
+      "Toothbrush-Anomaly Detection": "ToothbrushAnomalyDetection"
+    },
+    {
+      "Transistor Anomaly Detection": "TransistorAnomalyDetection"
+    },
+    {
+      "Wood Anomaly Detection": "WoodAnomalyDetection"
+    },
+    {
+      "Zipper Anomaly Detection": "ZipperAnomalyDetection"
+    }
+  ],
+  "Medical Segmentation": [
+    {
+      "COVID-19 CT Scan Lesion Segmentation": "COVID-19CTScanLesionSegmentation"
+    },
+    {
+      "Hubmap Organ Segmentation": "HubmapOrganSegmentation"
+    },
+    {
+      "Lung segmentation": "LungSegmentation"
+    },
+    {
+      "Bacteria Segmentation": "BacteriaSegmentation"
+    },
+    {
+      "Tuberculosis X-ray Segmentation": "tuberculosis_xray_segmentation"
+    }
+  ],
+  "Code Generation": [
+    {
+      "Sketch-to-HTML Code Generation": "sketch2html_code_generation"
+    }
+  ],
+  "Keypoint Detection": [
+    {
+      "Person Keypoint Detection": "person_keypoint_detection"
+    }
+  ],
+  "Multi-image Visual Question Answering": [
+    {
+      "Image Pair Multi-Attribute Question Answering": "Image_Pair_Multi-Attribute_Question_Answering"
+    },
+    {
+      "Numerical Dual Image Description Verification": "Numerical_Dual_Image_Description_Verification"
+    },
+    {
+      "Aircraft Model Matching": "Aircraft_Model_Matching"
+    },
+    {
+      "Car Model Matching": "Car_Model_Matching"
+    },
+    {
+      "Pose and Activity Consistency Verification": "Pose_and_Activity_Consistency_Verification"
+    },
+    {
+      "Digital Consistency Comparison": "Digital_Consistency_Comparison"
+    }
+  ],
+  "Multimodal Dialogue": [
+    {
+      "Egocentric Daily Tasks Action Planning": "EgocentricDailyTasksActionPlanning"
+    },
+    {
+      "Context-Aware Embodied Agent Dialogue": "Context-AwareEmbodiedAgentDialogue"
+    },
+    {
+      "Embodied Navigating Visual Question Answering": "EmbodiedNavigatingVisualQuestionAnswering"
+    },
+    {
+      "Environment-Based Next-action Description": "Environment-BasedNext-actionDescription"
+    },
+    {
+      "Multimodal Decision-making Reasoning": "MultimodalDecision-makingReasoning"
+    },
+    {
+      "Comic Dialogue Completion": "ComicDialogueCompletion"
+    }
+  ],
+  "Multimodal Reasoning": [
+    {
+      "Fashion Concept Visual Question Answering": "FashionConceptVisualQuestionAnswering"
+    },
+    {
+      "Cloth Color Visual Question Answering": "ClothColorVisualQuestionAnswering"
+    },
+    {
+      "Multi-Image Visual Entailment Reasoning": "Multi-ImageVisualEntailmentReasoning"
+    },
+    {
+      "Visual Step Completion": "VisualStepCompletion"
+    },
+    {
+      "Recipe Ingredient Description": "RecipeIngredientDescription"
+    },
+    {
+      "Visual Step Matching Reasoning": "VisualStepMatchingReasoning"
+    },
+    {
+      "Industrial Inspection Multi-Image Reasoning": "IndustrialInspectionMulti-ImageReasoning"
+    },
+    {
+      "Property Coherence Reasoning": "PropertyCoherenceReasoning"
+    },
+    {
+      "Recipe Completion": "RecipeCompletion"
+    },
+    {
+      "Comic Panel VQA": "ComicPanelVQA"
+    },
+    {
+      "Abduction-based VQA": "Abduction-basedVQA"
+    },
+    {
+      "Dual-Image Causal-and-Effect Reasoning": "Dual-ImageCausal-and-EffectReasoning"
+    },
+    {
+      "Driving Recording Reasoning": "DrivingRecordingReasoning"
+    },
+    {
+      "Attribute Congruity Reasoning": "AttributeCongruityReasoning"
+    }
+  ],
+  "Object Counting": [
+    {
+      "Seed Counting": "seed_counting"
+    },
+    {
+      "Vehicle Counting": "vehicle_counting"
+    }
+  ],
+  "Multimodal Neural Translation": [
+    {
+      "Multimodal Neural Translation": "Multimodal_Neural_Translation"
+    }
+  ],
+  "Object Detection": [
+    {
+      "Small Object Detection": "small_object_detection"
+    },
+    {
+      "Traffic Signs Detection": "traffic_signs_detection"
+    },
+    {
+      "Medical Device Detection": "medical-device-detection"
+    },
+    {
+      "Wound Detection": "wound-detection"
+    },
+    {
+      "Gauge Detection": "gauge-detection"
+    },
+    {
+      "Parking Space Detection": "parking-space-detection"
+    },
+    {
+      "Tree Detection": "tree-detection"
+    },
+    {
+      "Traffic Light Detection": "traffic-light-detection"
+    },
+    {
+      "rock-paper-scissors-gesture-detection": "rock-paper-scissors-gesture-detection"
+    },
+    {
+      "Price Tag Detection and Text Grounding": "price-tag-detection-and-text-grounding"
+    },
+    {
+      "Retail Object Detection": "retail-object-detection"
+    },
+    {
+      "Exit Sign Detection": "exit-sign-detection"
+    },
+    {
+      "Handwriting Component Detection": "handwriting-component-detection"
+    },
+    {
+      "Sign Language Detection": "sign-language-detection"
+    },
+    {
+      "football player detection": "football-player-detection"
+    },
+    {
+      "Pest Detection": "pest-detection"
+    },
+    {
+      "Underwater garbage Detection": "underwater-garbage-detection"
+    },
+    {
+      "Food Detection": "food-detection"
+    },
+    {
+      "Circuit Elements Detection": "circuit-elements-detection"
+    },
+    {
+      "Tabular Data Detection": "tabular-data-detection"
+    },
+    {
+      "Radio-Spectrogram Detection": "radio-spectrogram-detection"
+    },
+    {
+      "Empty Shelf Detection": "empty-shelf-detection"
+    },
+    {
+      "Tomato Detection": "tomato-detection"
+    },
+    {
+      "Drone Detection": "drone-detection"
+    },
+    {
+      "Bee Detection": "tree-detection"
+    },
+    {
+      "Cat Faces Detection": "cat-faces-detection"
+    },
+    {
+      "Bird Detection": "BirdDetection"
+    },
+    {
+      "Deepfish Detection": "DeepfishDetection"
+    },
+    {
+      "Raccoon Detection": "RaccoonDetection"
+    },
+    {
+      "Ship Detection": "ShipDetection"
+    },
+    {
+      "Weed Detection": "WeedDetection"
+    },
+    {
+      "Radar Ship Detection": "Radar_Ship_Detection"
+    }
+  ],
+  "Object Matting": [
+    {
+      "Animal Image Matting": "AnimalImageMatting"
+    },
+    {
+      "Portrait Matting": "portrait_matting"
+    },
+    {
+      "Text Manipulation Region Matting": "TextManipulationRegionMatting"
+    },
+    {
+      "Person Hair Matting": "person-hair-matting"
+    }
+  ],
+  "Object Recognition": [
+    {
+      "Animal Recognition": "AnimalRecognition"
+    },
+    {
+      "Big Cat Image Recognition": "BigCatImageRecognition"
+    },
+    {
+      "Fruit Recognition": "fruit_disease_recognition"
+    },
+    {
+      "Vegetable Recognition": "vegetable_recognition"
+    },
+    {
+      "Car Brands Recognition": "car_brands_recognition"
+    },
+    {
+      "Damaged Egg Recognition": "damaged_egg_recognition"
+    },
+    {
+      "Dog Breeds Recognition": "dog_breeds recognition"
+    },
+    {
+      "Garbage Classification": "garbage_classification"
+    },
+    {
+      "Mammal Recognition": "mammal_recognition"
+    },
+    {
+      "Utensil Recognition": "utensil_recognition"
+    },
+    {
+      "Bird Species Recognition": "bird-species-classification"
+    },
+    {
+      "Chinese Fine Art Recognition": "chinese-fine-art"
+    },
+    {
+      "Famous Iconic Women Recognition": "famous-iconic-women"
+    },
+    {
+      "Text Manipulation Classification": "TextManipulationClassification"
+    },
+    {
+      "Gender Recognition": "GenderRecognition"
+    },
+    {
+      "Infrared/Thermal Image Classification": "Infrared_Thermal_Image_Classification"
+    },
+    {
+      "Waste Item Image Classification": "waste-item-image-classification"
+    },
+    {
+      "Image Style Classification": "image_style_classification"
+    },
+    {
+      "Microorganism Image Classification": "microorganism_image_classification"
+    },
+    {
+      "Deep Fake Detection": "deep_fake_detection"
+    }
+  ],
+  "Panoptic Segmentation": [
+    {
+      "Road Scene Panoptic Segmentation": "road_scene_panoptic_segmentation"
+    }
+  ],
+  "Crack Detection": [],
+  "Pose Recognition": [
+    {
+      "Yoga Pose Recognition": "GenderRecognition"
+    }
+  ],
+  "Relation Reasoning": [
+    {
+      "Classification of Visual Spatial Relationship": "Classification_of_Visual_Spatial_Relationship"
+    },
+    {
+      "Description of Single Spatial Relationship": "Description_of_Single_Spatial_Relationship"
+    },
+    {
+      "Description of Open-ended Spatial Relationship": "Description_of_Open-ended_Spatial_Relationship"
+    }
+  ],
+  "RGBD Semantic Segmentation": [
+    {
+      "RGBD Semantic Segmentation": "rgbd_semantic_segmentation"
+    }
+  ],
+  "Ripeness Recognition": [
+    {
+      "Strawberry Ripeness Recognition": "strawberry_ripeness_recognition"
+    }
+  ],
+  "Safety Detection": [
+    {
+      "Fire Detection": "fire-detection"
+    },
+    {
+      "Gun Detection": "gun-detection"
+    },
+    {
+      "Construction Safety Equipment Detection": "construction-safety-equipment-detection"
+    },
+    {
+      "Safety Vests Detection": "safety-vests-detection"
+    },
+    {
+      "Fall Human Detection": "fall-human-detection"
+    },
+    {
+      "Smoke Detection": "smoke-detection"
+    },
+    {
+      "Helmet Detection": "helmet-detection"
+    }
+  ],
+  "Scene Graph Generation": [
+    {
+      "Image Scene Graph Parsing": "lmage_Scene_Graph_Parsing"
+    }
+  ],
+  "Scene Recognition": [
+    {
+      "Terrain Recognition": "terrain_recognition"
+    }
+  ],
+  "Sign Language Recognition": [
+    {
+      "American Sign Language Recognition": "AmericanSignLanguageRecognition"
+    }
+  ],
+  "Visual Relation Inference": [
+    {
+      "Before-After Relationship Caption": "Before-AfterRelationshipCaption"
+    },
+    {
+      "Surveillance Object-Level Change Description": "SurveillanceObject-LevelChangeDescription"
+    },
+    {
+      "Multi-Image Alteration Description": "Multi-ImageAlterationDescription"
+    },
+    {
+      "Bird Variation Comparison Description": "BirdVariationComparisonDescription"
+    },
+    {
+      "Subtle Difference Description": "SubtleDifferenceDescription"
+    },
+    {
+      "Multimodal Relation Extraction": "Multi-ImageAlterationDescription"
+    }
+  ],
+  "Visual Storytelling Generation": [
+    {
+      "Animated Story Completion": "AnimatedStoryCompletion"
+    },
+    {
+      "Cartoon Story Telling": "CartoonStoryTelling"
+    },
+    {
+      "Multi-image Next-frame Description": "Multi-imageNext-frameDescription"
+    },
+    {
+      "Sequential Photo Storytelling": "SequentialPhotoStorytelling"
+    },
+    {
+      "Sequential Story Completion": "SequentialStoryCompletion"
+    }
+  ],
+  "Disease Detection": [
+    {
+      "Plant Disease Detection": "plant-disease-detection"
+    }
+  ],
+  "Weather Recognition": [],
+  "Disease Recognition": [
+    {
+      "Fruit Disease Recognition": "fruit_disease_recognition"
+    },
+    {
+      "Abnormal Heartbeat Recognition": "Abnormal_Heartbeat_Patients"
+    },
+    {
+      "Myocardial Infarction Recognition": "Myocardial_Infarction_Patients"
+    },
+    {
+      "Brain Tumor MRI Recognition": "BrainTumorMRIRecognition"
+    },
+    {
+      "Pumpkin Leaf Diseases Recognition": "PumpkinLeafDiseasesRecognition"
+    },
+    {
+      "Leukemia Classification": "LeukemiaClassification"
+    }
+  ],
+  "Document Visual Question Answering": [
+    {
+      "Multi-Page Agreement Document Visual Question Answering": "Multi-PageAgreementDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page Application Document Visual Question Answering": "Multi-PageApplicationDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page Certificate Document Visual Question Answering": "Multi-PageCertificateDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page E-mail Document Visual Question Answering": "Multi-PageE-mailDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page Form Document Visual Question Answering": "Multi-PageFormDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page Handwritten Document Visual Question Answering": "Multi-PageHandwrittenDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page Infographic Document Visual Question Answering": "Multi-PageInfographicDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page Invoice Document Visual Question Answering": "Multi-PageInvoiceDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page Letter Document Visual Question Answering": "Multi-PageLetterDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page Manual Document Visual Question Answering": "Multi-PageManualDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page Meeting Document Visual Question Answering": "Multi-PageMeetingDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page Memo Document Visual Question Answering": "Multi-PageMemoDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page News Document Visual Question Answering": "Multi-PageNewsDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page Order Document Visual Question Answering": "Multi-PageOrderDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page Poster Document Visual Question Answering": "Multi-PagePosterDocumentVisualQuestionAnswering"
+    },
+    {
+      "Multi-Page Presentation Document Visual Question Answering": "presentation_docvqa"
+    },
+    {
+      "Multi-Page Report Document Visual Question Answering": "report_docvqa"
+    },
+    {
+      "Multi-Page Request Document Visual Question Answering": "request_docvqa"
+    },
+    {
+      "Multi-Page Resume Document Visual Question Answering": "resume_docvqa"
+    },
+    {
+      "Multi-Page Sheet Document Visual Question Answering": "sheet_docvqa"
+    }
+  ],
+  "Emotion Detection": [
+    {
+      "Person Emotion Detection": "person_emotion_detection"
+    },
+    {
+      "Pet Face Expression Recognition": "pet_face_expression_recognition"
+    },
+    {
+      "Emotion Recognition": "emotion-detection-fer"
+    },
+    {
+      "Face Emotion Recognition": "face_emotion_recognition"
+    }
+  ],
+  "Graph Classification": [
+    {
+      "Spectrum Graph Car Classification": "Spectrum_Graph_Car_Classification"
+    }
+  ],
+  "Hallucination Detection": [
+    {
+      "Attribute Hallucination Detection": "Attribute_Hallucination_Detection"
+    },
+    {
+      "Object Hallucination Detection": "Object_Hallucination_Detection"
+    }
+  ]
+}

Scope-C/img-gen.json

@@ -0,0 +1,167 @@
+{
+  "Edge-to-Image Generation": [
+    {
+      "Edge-to-Image Generation": "edge2object"
+    }
+  ],
+  "Layout-to-Image Generation": [
+    {
+      "Layout-to-Face Image Generation": "layout2face"
+    }
+  ],
+  "Mask-to-Image Generation": [
+    {
+      "Mask-to-Image Face Generation": "Mask-to-Image_Face_Generation"
+    }
+  ],
+  "Sketch-to-Image Generation": [
+    {
+      "Sketch-to-Face Image Generation": "sketch2face"
+    },
+    {
+      "Sketch-to-Background Image Generation": "sketch2background"
+    },
+    {
+      "Sketch-to-Scene Image Generation": "sketch2scene"
+    },
+    {
+      "Sketch-to-Image Hair Generation": "Sketch-to-Image_Hair_Generation"
+    }
+  ],
+  "Sound-to-Image Generation": [
+    {
+      "Sound-to-Image Generation": "Sound-to-Image_Gernation"
+    }
+  ],
+  "Text-based Image\nEditing": [
+    {
+      "Image Colorization": "image_colorization"
+    },
+    {
+      "Chinese-based Image Editing": "Chinese-based_Image_Editing"
+    },
+    {
+      "Text-based Image Editing": "Text-based_Image_Editing"
+    },
+    {
+      "Deep Fake Generation": "deep_fake_generation"
+    }
+  ],
+  "Text-to-Image Generation": [
+    {
+      "Text-based E-commerce Product Image Generation": "ecommerce_product_generation"
+    },
+    {
+      "Text-based Terrestrial Animal Image Generation": "terrestrial_animal_generation"
+    },
+    {
+      "Long-text-based Image generation": "Long-text-based_Image_generation"
+    },
+    {
+      "Multi-language-based Image Generation": "Multi-language-based_Image_Generation"
+    },
+    {
+      "Handwriting Text Generation": "Handwriting_Text_Generation"
+    },
+    {
+      "Text-based Face Generation": "Text-based_Face_Generation"
+    },
+    {
+      "Text-based Astronomical Image Generation": "Text-based_Astronomical_Image_Generation"
+    },
+    {
+      "Text-to-Image Indian Food Generation": "Text-to-Image_Indian_Food_Generation"
+    },
+    {
+      "Text-to-Image Microorganism Generation": "Text-to-Image_Microorganism_Generation"
+    },
+    {
+      "Text-to-Image Insect Generation": "Text-to-Image_Insect_Generation"
+    },
+    {
+      "Text-to-Image Sea Animal Generation": "Text-to-Image_Sea_Animal_Generation"
+    }
+  ],
+  "EEG-to-Image Generation": [
+    {
+      "EEG-based Image Generation": "EEG-based_Image_Generation"
+    }
+  ],
+  "Image Denosing": [
+    {
+      "Image Deraining": "image_deraining"
+    },
+    {
+      "Image Raindrop Removal": "image_raindrop_removal"
+    },
+    {
+      "Image Dehazing": "image_dehazing"
+    },
+    {
+      "Image Desnowing": "image_desnowing"
+    },
+    {
+      "Image Deblurring": "image_deblurring"
+    },
+    {
+      "JPEG Image Artifact Deduction": "jpeg_artifact_deduction"
+    },
+    {
+      "Remote Sensing Image Dehazing": "Remote_Sensing_Image_Dehazing"
+    }
+  ],
+  "Image Enhancement": [
+    {
+      "Image Shadow Removal": "image_shadow_removal"
+    },
+    {
+      "Image Flare Removal": "image_flare_removal"
+    },
+    {
+      "Underwater Image Restoration": "underwater_image_restoration"
+    },
+    {
+      "Document Image Unwarping": "document_image_unwarping"
+    },
+    {
+      "Image Detail Enhancement": "Image_Detail_Enhancement"
+    },
+    {
+      "Low-light Image Enhancement": "Low-light_Image_Enhancement"
+    }
+  ],
+  "Image Inpainting": [
+    {
+      "Face Image Inpainting": "face_inpainting"
+    }
+  ],
+  "Image Style Transfer": [
+    {
+      "Face Image Comic Style Transfer": "face2comic"
+    },
+    {
+      "Text-based Style Transfer": "Text-based_Style_Transfer"
+    }
+  ],
+  "Imge-to-Mask Generation": [
+    {
+      "Infection-map Generation": "infection_map_generation"
+    }
+  ],
+  "Image-to-Sketch Generation": [
+    {
+      "Face Sketch Synthesis": "face_sketch_synthesis"
+    }
+  ],
+  "In-context Image\nEditing": [
+    {
+      "Image Editing with Text and Image Prompt": "Image_Editing_with_Text_and_Image_Prompt"
+    },
+    {
+      "Image Editing with Multi-image Prompt": "Image_Editing_with_Multi-image_Prompt"
+    },
+    {
+      "Image Editing with Text and Multi-image Prompt": "Image_Editing_with_Text_and_Multi-image_Prompt"
+    }
+  ]
+}

Scope-C/nlp.json

@@ -0,0 +1,391 @@
+{
+  "Cognitive Question Answering": [
+    {
+      "Commonsense Reasoning": "Commonsense-Reasoning"
+    },
+    {
+      "Causal Reasoning": "Causal-Reasoning"
+    },
+    {
+      "Document-Level Causal Reasoning": "Document-Level-Causal-Reasoning"
+    },
+    {
+      "Counterfactual Reasoning": "Counterfactual-Reasoning"
+    },
+    {
+      "Analogical Reasoning": "Analogical-Reasoning"
+    },
+    {
+      "Multi-Hop Question Answering": "Multihop-Question-Answering"
+    },
+    {
+      "Temporal Reasoning": "Temporal-Reasoning"
+    },
+    {
+      "Spatial Reasoning": "Spatial-Reasoning"
+    },
+    {
+      "Numerical Reasoning": "Numerical-Reasoning"
+    }
+  ],
+  "Text Summarization": [
+    {
+      "Extractive Summarization": "Extractive-Summarization"
+    },
+    {
+      "Abstractive Summarization": "Abstractive-Summarization"
+    },
+    {
+      "Multi-Document Summarization": "Multi-Document-Summarization"
+    }
+  ],
+  "Dialogue Generation": [
+    {
+      "Multi-Turn Daily Dialogue Generation": "Multi-Turn-Daily-Dialogue-Generation"
+    }
+  ],
+  "Text Generation": [
+    {
+      "Table-to-Text Generation": "Table-to-Text-Generation"
+    },
+    {
+      "Text Style Transfer": "Text-Style-Transfer"
+    },
+    {
+      "Story Generation": "Story-Generation"
+    },
+    {
+      "Paraphrase Generation": "Paraphrase-Generation"
+    },
+    {
+      "Grammar Correction": "Grammar-Correction"
+    }
+  ],
+  "Time Series Analysis": [
+    {
+      "Time Series Prediction": "Time-Series"
+    }
+  ],
+  "Content Categorization": [
+    {
+      "Topic Classification": "Topic-Classification"
+    }
+  ],
+  "Text Entailment": [
+    {
+      "Natural Language Inference": "Natural-Language-Inference"
+    }
+  ],
+  "Semantic Analysis": [
+    {
+      "Sentence Similarity Detection": "Sentence-Similarity-Detection"
+    },
+    {
+      "Intent Detection": "Intent-Classification"
+    },
+    {
+      "Stance Detection": "Stance-Detection"
+    },
+    {
+      "Personality Analysis": "Personality-Analysis"
+    }
+  ],
+  "Affective Computing": [
+    {
+      "Humor Detection": "Humor-Detection"
+    },
+    {
+      "Sarcasm Detection": "Sarcasm-Detection"
+    },
+    {
+      "Sentiment Classification": "Sentiment-Classification"
+    },
+    {
+      "Mental Health Toxicity Detection": "Mental-Health-Toxicity-Detection"
+    },
+    {
+      "Financial Sentiment Analysis": "Financial-Sentiment-Classification"
+    },
+    {
+      "Metaphor Detection": "Metaphor-Detection"
+    },
+    {
+      "Aspect Category Detection": "Aspect-Category-Detection"
+    },
+    {
+      "Aspect Sentiment Classification": "Aspect-Sentiment-Classification"
+    },
+    {
+      "Aspect Term Extraction": "Aspect-Term-Extraction"
+    },
+    {
+      "Target-oriented Opinion Words Extraction": "Target-Oriented-Opinion-Words-Extraction"
+    },
+    {
+      "Aspect-Opinion Pair Extraction": "Aspect-Opinion-Pair-Extraction"
+    },
+    {
+      "End-to-End ABSA": "End-To-End-ABSA"
+    },
+    {
+      "Aspect Sentiment Triplet Extraction": "Aspect-Sentiment-Triplet-Extraction"
+    },
+    {
+      "Aspect-Category-Sentiment Detection": "Aspect-Category-Sentiment-Detection"
+    },
+    {
+      "Aspect Sentiment Quad Prediction": "Aspect-Sentiment-Quad-Prediction"
+    },
+    {
+      "Dialogue-Level Sentiment Quadruple Extraction": "Dialogue-Level-Sentiment-Quadruple-Extraction"
+    },
+    {
+      "Soccer Sentiment Classification": "Soccer-Sentiment-Classification"
+    },
+    {
+      "Comparative Opinion Quintuple Extraction": "Comparative-Opinion-Quintuple-Extraction"
+    }
+  ],
+  "Named Entity Recognition": [
+    {
+      "Scientific NER": "Scientific-NER"
+    },
+    {
+      "Temporal NER": "Temporal-NER"
+    },
+    {
+      "Pathology NER": "Pathology-NER"
+    },
+    {
+      "Cybersecurity NER": "Cybersecurity-NER"
+    },
+    {
+      "Geological NER": "Geological-NER"
+    },
+    {
+      "Legal NER": "Legal-NER"
+    },
+    {
+      "Organization Recognition": "Organization-Recognition"
+    },
+    {
+      "Person Recognition": "Person-Recognition"
+    },
+    {
+      "Location Recognition": "Location-Recognition"
+    },
+    {
+      "Climate Change NER": "Climate-Change-NER"
+    },
+    {
+      "Gene/Protein Named Entity Recognition": "Gene-Protein-NER"
+    },
+    {
+      "Chemical Named Entity Recognition": "Chemical-NER"
+    },
+    {
+      "Disease-NER": "Disease-NER"
+    }
+  ],
+  "Relation Extraction": [
+    {
+      "Scientific Relation Extraction": "Scientific-Relation-Extraction"
+    },
+    {
+      "News Relation Extraction": "Relation-Extraction"
+    },
+    {
+      "Joint NER and RE": "Joint-NER-And-RE"
+    },
+    {
+      "DocRE": "Code-Repair"
+    },
+    {
+      "Adverse Drug Reaction": "Adverse-Drug-Reaction-Detection"
+    },
+    {
+      "Protein-Protein Interaction Extraction": "Protein-Protein-Interaction-Extraction"
+    },
+    {
+      "Drug-Drug Interaction": "Drug-Drug-Interaction"
+    },
+    {
+      "Genetic Association Datebase": "Genetic-Association-Database"
+    },
+    {
+      "Chemical-Protein Relationship Extraction": "Chemical-Protein-Relationship-Extraction"
+    }
+  ],
+  "Ethical NLP": [
+    {
+      "Ethical Reasoning": "Ethical-Reasoning"
+    },
+    {
+      "Truthful Question Answering": "Truthful-Question-Answering"
+    },
+    {
+      "Legal Question Answering": "Legal-Question-Answering"
+    },
+    {
+      "Bias Detection": "Bias-Detection"
+    },
+    {
+      "Offensive Classification": "Offensive-Classification"
+    },
+    {
+      "Hate Speech Detection": "Hate-Speech-Detection"
+    },
+    {
+      "Spam Detection": "Spam-Detection"
+    },
+    {
+      "Fake News Detection": "Fake-News-Detection"
+    },
+    {
+      "Fact Verification": "Fact-Verification"
+    }
+  ],
+  "Event Extraction": [
+    {
+      "Event Trigger Detection": "Event-Trigger-Detection"
+    },
+    {
+      "Temporal Event Reasoning": "Temporal-Event-Reasoning"
+    }
+  ],
+  "Semantic Parsing": [
+    {
+      "Event Coreference Resolution": "Event-Coreference-Resolution"
+    },
+    {
+      "Semantic Role Labeling": "Semantic-Role-Labeling"
+    },
+    {
+      "Abstract Meaning Representation": "Abstract-Meaning-Representation"
+    }
+  ],
+  "Linguistic Parsing": [
+    {
+      "Dependency Parsing": "Dependency-Parsing"
+    },
+    {
+      "Constituency Parsing": "Constituency-Parsing"
+    },
+    {
+      "Part-of-Speech": "Part-Of-Speech-Tagging"
+    }
+  ],
+  "Domain-Specific QA": [
+    {
+      "Biomedical Question Answering": "Biomedical-Question-Answering"
+    },
+    {
+      "Medical Question Answering": "Medical-Question-Answering"
+    },
+    {
+      "Technical Question Answering": "Technical-QuestionAnswering"
+    },
+    {
+      "Engineering Question Answering": "Engineering-Question-Answering"
+    },
+    {
+      "Science Question Answering": "Science-Question-Answering"
+    },
+    {
+      "Earth Question Answering": "Earth-Question-Answering"
+    },
+    {
+      "Nature Question Answering": "Nature-Question-Answering"
+    }
+  ],
+  "Social QA": [
+    {
+      "Humanities Question Answering": "Humanities-Question-Answering"
+    },
+    {
+      "Social Science Question Answering": "Social-Science-Question-Answering"
+    },
+    {
+      "Philosophical Question Answering": "Philosophical-Question-Answering"
+    },
+    {
+      "Art Question Answering": "Art-Question-Answering"
+    },
+    {
+      "Business Question Answering": "Business-Question-Answering"
+    },
+    {
+      "History Question Answering": "History-Question-Answering"
+    }
+  ],
+  "Non-Traditional QA": [
+    {
+      "Fairytale Question Answering": "Fairytale-Question-Answering"
+    },
+    {
+      "Tweet Question Answering": "Tweet-Question-Answering"
+    },
+    {
+      "Trivial QA": "Trivia-Question-Answering"
+    }
+  ],
+  "Advanced QA": [
+    {
+      "Open-Domain Question Answering": "Open-Domain-Question-Answering"
+    },
+    {
+      "Conversational Question Answering": "Conversational-Question-Answering"
+    },
+    {
+      "Table Question Answering": "Table-Question-Answering"
+    },
+    {
+      "Multilingual Question Answering": "Multilingual-Question-Answering"
+    },
+    {
+      "Code-Switch Question Answering": "Code-Switching-Question-Answering"
+    }
+  ],
+  "Math Problem Solving": [
+    {
+      "Math Question Answering": "Math-Question-Answering"
+    },
+    {
+      "Mathematical Word Problem Solving": "Mathematical-Word-Problem-Solving"
+    },
+    {
+      "Mathematical Proof Generation": "Mathematical-Proof-Generation"
+    }
+  ],
+  "Code Problem Solving": [
+    {
+      "Code Explanation": "Code-Explanation"
+    },
+    {
+      "Code Defect Detection": "Code-Defect-Detection"
+    },
+    {
+      "Code Generation": "Code-Generation"
+    },
+    {
+      "Code Repair": "Code-Repair"
+    },
+    {
+      "Text-to-SQL Generation": "Story-Generation"
+    }
+  ],
+  "Cross-lingual/ Translation": [
+    {
+      "Multilingual Translation": "Multilingual-Translation"
+    },
+    {
+      "Low-Resource Translation": "Low-Resource-Translation"
+    },
+    {
+      "English-Chinese Translation": "En-Zh-Translation"
+    },
+    {
+      "English-French Translation": "En-Fr-Translation"
+    }
+  ]
+}

Scope-C/vid-comp.json

@@ -0,0 +1,309 @@
+{
+  "Video Question Answering": [
+    {
+      "Agriculture Video Question Answering": "AgricultureVideoQuestionAnswering.zip"
+    },
+    {
+      "Geography Video Question Answering": "GeographyVideoQuestionAnswering.zip"
+    },
+    {
+      "Human Survival Video Question Answering": "HumanSurvivalVideoQuestionAnswering.zip"
+    },
+    {
+      "Military Video Question Answering": "MilitaryVideoQuestionAnswering.zip"
+    },
+    {
+      "Comedy Video Question Answering": "ComedyVideoQuestionAnswering.zip"
+    },
+    {
+      "Movie Video Question Answering": "MovieVideoQuestionAnswering.zip"
+    },
+    {
+      "Science Video Question Answering": "ScienceVideoQuestionAnswering.zip"
+    },
+    {
+      "Sports Video Question Answering": "SportsVideoQuestionAnswering.zip"
+    },
+    {
+      "Pets Video Question Answering": "PetsVideoQuestionAnswering.zip"
+    },
+    {
+      "Gymnastics Video Question Answering": "GymnasticsVideoQuestionAnswering.zip"
+    },
+    {
+      "Ball Game Video Question Answering": "BallGameVideoQuestionAnswering.zip"
+    },
+    {
+      "Object Color Video Question Answering": "ObjectColorVideoQuestionAnswering.zip"
+    },
+    {
+      "Object Motion Video Question Answering": "ObjectMotionVideoQuestionAnswering.zip"
+    },
+    {
+      "Object Location Video Question Answering": "ObjectLocationVideoQuestionAnswering.zip"
+    },
+    {
+      "Object Direction Video Question Answering": "ObjectDirectionVideoQuestionAnswering.zip"
+    },
+    {
+      "Education Video Question Answering": "EducationVideoQuestionAnswering.zip"
+    },
+    {
+      "Human-Object Interaction Video Question Answering": "HumanObjectInteractionVideoQuestionAnswering.zip"
+    }
+  ],
+  "Temporal Action Detection": [],
+  "Complex-Scene Reasoning Video Object Segmentation": [],
+  "Video Grounding": [],
+  "Video Depth Estimation": [],
+  "Object Matching": [
+    {
+      "Color Aware Object Matching": "ColorMatch.zip"
+    },
+    {
+      "Shape or Posture Aware Matching": "ShapeMatch.zip"
+    },
+    {
+      "Textual or Logo Markers Aware Object Matching": "LOGOMarkerMatch.zip"
+    },
+    {
+      "Size Aware Object Matching": "SizeMatch.zip"
+    },
+    {
+      "Relative Position Aware Object Matching": "RelationMatch.zip"
+    },
+    {
+      "Orientation and Movement Aware Object Matching": "MotionMatch.zip"
+    },
+    {
+      "Object Markers Aware Object Matching": "ObjectMarkerMatch.zip"
+    }
+  ],
+  "Object Tracking": [
+    {
+      "Ball Tracking": "BallTrack.zip"
+    },
+    {
+      "Vehicle Tracking": "VehicleTrack.zip"
+    },
+    {
+      "Human Tracking": "HumanTrack.zip"
+    },
+    {
+      "Animal Tracking": "AnimalTrack.zip"
+    },
+    {
+      "General Objects Tracking": "GeneralObjectTrack.zip"
+    },
+    {
+      "Human Part Tracking": "HumanPartTrack.zip"
+    },
+    {
+      "General Objects Part Tracking": "GeneralObjectTrack.zip"
+    }
+  ],
+  "Long Video Tracking": [
+    {
+      "Long Video Human Tracking": "LongVideoHumanTrack.zip"
+    },
+    {
+      "Long Video General Object Tracking": "LongVideoGeneralObjectTrack.zip"
+    },
+    {
+      "Long Video Animal Tracking": "LongVideoAnimalTrack.zip"
+    },
+    {
+      "Long Video Vehicle Tracking": "LongVideoVehicleTrack.zip"
+    },
+    {
+      "Long Video Object Tracking in Crowd Sense": "LongVideoCrowdTrack.zip"
+    }
+  ],
+  "UAV Object Tracking": [
+    {
+      "UAV Video Human Tracking": "UAVHumanTrack.zip"
+    },
+    {
+      "UAV Video Vehicle Tracking": "UAVVehicleTrack.zip"
+    },
+    {
+      "UAV Video UAV Tracking": "UAVUAVTrack.zip"
+    },
+    {
+      "UAV Video Building Tracking": "UAVBuildingTrack.zip"
+    },
+    {
+      "UAV Video General Object Tracking": "UAVGeneralObjectTrack.zip"
+    }
+  ],
+  "Underwater Object Tracking": [
+    {
+      "Underwater Video Object Tracking in Blue Water": "BlueWaterTrack.zip"
+    },
+    {
+      "Underwater Video Object Tracking in Yellow Water": "YellowWaterTrack.zip"
+    },
+    {
+      "Underwater Video Object Tracking in Green Water": "GreenWaterTrack.zip"
+    },
+    {
+      "Underwater Video Object Tracking in White Water": "WhiteWaterTrack.zip"
+    },
+    {
+      "Video Object Tracking in Crowd Sense": "CrowdTrack.zip"
+    }
+  ],
+  "Optical Flow": [
+    {
+      "Optical Flow in Simple Synthetic Scene": "SyntheticSceneFlowEstimate.zip"
+    },
+    {
+      "Optical Flow in Complex Scene Estimation": "ComplexSceneFlowEstimate.zip"
+    },
+    {
+      "Panoramic Optical Flow Estimation": "PanoramicFlowEstimate.zip"
+    }
+  ],
+  "Video Object Recognition": [
+    {
+      "Pets Video Recognition": "PetsVideoRecognition.zip"
+    },
+    {
+      "Science Video Recognition": "ScienceVideoRecognition.zip"
+    },
+    {
+      "Video Object Counting": "VideoObjectCounting.zip"
+    },
+    {
+      "Natural Disaster Video Recognition": "NaturalDisasterVideoRecognition.zip"
+    },
+    {
+      "Video Object Existence Recognition": "VideoObjectExistenceRecognition.zip"
+    },
+    {
+      "Video Object Interaction Recognition": "VideoObjectInteractionRecognition.zip"
+    },
+    {
+      "TV-Show Recognition": "TVShowRecognition.zip"
+    },
+    {
+      "Video Sports Recognition": "VideoSportsRecognition.zip"
+    },
+    {
+      "Video Animal Recognition": "VideoAnimalRecognition.zip"
+    },
+    {
+      "Video Food Recognition": "VideoFoodRecognition.zip"
+    },
+    {
+      "Art Recognition": "ArtRecognition.zip"
+    },
+    {
+      "Autos and Vehicles Video Captioning": "AutosAndVehiclesVideoCaptioning.zip"
+    },
+    {
+      "Food Video Captioning": "FoodVideoCaptioning.zip"
+    },
+    {
+      "Video Salient Object Detection": "VideoSalientObjectDetection.zip"
+    },
+    {
+      "Human Video Salient Detection": "HumanVideoSalientDetection.zip"
+    },
+    {
+      "Aquatic Video Camouflaged Object Detection": "AquaticVideoCamouflagedObjectDetection.zip"
+    },
+    {
+      "Terrestrial Video Camouflaged Object Detection": "TerrestrialVideoCamouflagedObjectDetection.zip"
+    }
+  ],
+  "Video Event Recognition": [
+    {
+      "News and Documentary Video Captioning": "NewsAndDocumentaryVideoCaptioning.zip"
+    }
+  ],
+  "Video Action Recognition": [
+    {
+      "Human-Object Interaction Video Captioning": "HumanObjectInteractionVideoCaptioning.zip"
+    },
+    {
+      "Human-Human Interaction Video Captioning": "HumanHumanInteractionVideoCaptioning.zip"
+    },
+    {
+      "BodyMotion Video Captioning": "BodyMotionVideoCaptioning.zip"
+    },
+    {
+      "Musical Instruments Video Captioning": "MusicalInstrumentsVideoCaptioning.zip"
+    },
+    {
+      "Sports and Exercise Video Captioning": "SportsAndExcerciseVideoCaptioning.zip"
+    },
+    {
+      "Facial Action Video Captioning": "FacialActionVideoCaptioning.zip"
+    },
+    {
+      "Facial-Object Operations Video Captioning": "FacialObjectOperationsVideoCaptioning.zip"
+    },
+    {
+      "Arts and Crafts Video Captioning": "ArtsAndCraftsVideoCaptioning.zip"
+    },
+    {
+      "Personal Care Video Captioning": "PersonalCareVideoCaptioning.zip"
+    },
+    {
+      "DailyLife and Skills Video Captioning": "DailyLifeAndSkillsVideoCaptioning.zip"
+    },
+    {
+      "Entertainment-related Video Captioning": "EntertainmentRelatedVideoCaptioning.zip"
+    },
+    {
+      "Sign Language Video Recognition": "SignLanguageVideoRecognition.zip"
+    },
+    {
+      "Video Action Sequence Understanding": "VideoActionSequenceUnderstanding.zip"
+    },
+    {
+      "Video Action Sequence Prediction": "VideoActionSequencePrediction.zip"
+    },
+    {
+      "Video Action Counting": "VideoActionCounting.zip"
+    },
+    {
+      "Video Action Ordering": "VideoActionOrdering.zip"
+    }
+  ],
+  "Video Understanding": [
+    {
+      "Ball Sports Video Captioning": "BallSportsVideoCaptioning.zip"
+    },
+    {
+      "Science and Technology Video Captioning": "ScienceAndTechnologyVideoCaptioning.zip"
+    },
+    {
+      "Music Video Question Answering": "MusicVideoQuestionAnswering.zip"
+    },
+    {
+      "Game Video Question Answering": "GameVideoQuestionAnswering.zip"
+    },
+    {
+      "Movie and Show Video Captioning": "MovieAndShowVideoCaptioning.zip"
+    },
+    {
+      "Finance Video Captioning": "FinanceVideoCaptioning.zip"
+    },
+    {
+      "History and Literature Video Captioning": "HistoryAndLiteratureVideoCaptioning.zip"
+    },
+    {
+      "Business Video Captioning": "BusinessVideoCaptioning.zip"
+    },
+    {
+      "Humor Video Captioning": "HumorVideoCaptioning.zip"
+    }
+  ],
+  "In-the-Wild Video Object Segmentation": [],
+  "General Video Object Segmentation": [],
+  "Street-Scene Video Object Segmentation": [],
+  "Referring Video Object Segmentation": [],
+  "Reasoning Video Object Segmentation": []
+}

Scope-C/vid-gen.json

@@ -0,0 +1,152 @@
+{
+  "Text-to-Video Generation": [
+    {
+      "Subject-Driven Text to Video Generation": "SubjectConsistencyT2V.zip"
+    },
+    {
+      "Background-Consistency Text to Video Geneation": "BackgroundConsistencyT2V.zip"
+    },
+    {
+      "Static Video Generation": "StaticT2V.zip"
+    },
+    {
+      "Dynamic Video Generation": "DynamicT2V.zip"
+    },
+    {
+      "Artistic Content Text to Video Generation": "ArtisticT2V.zip"
+    },
+    {
+      "Scene Text to Video Generation": "SceneT2V.zip"
+    },
+    {
+      "Class-Conditioned Text to Video Generation": "ClassConditionedT2V.zip"
+    },
+    {
+      "Multi-Class-Conditioned Text to Video Generation": "MultiClassConditionedT2V.zip"
+    },
+    {
+      "Stylized Video Generation-Single Reference": "StylizedVideoGenerationSingleReference.zip"
+    },
+    {
+      "Stylized Video Generation-Multiple Reference": "StylizedVideoGenerationMultipleReference.zip"
+    },
+    {
+      "Spatial Relation Video Generation": "SpatialRelationT2V.zip"
+    },
+    {
+      "Camera Motion Video Generation": "CameraMotionT2V.zip"
+    },
+    {
+      "Terrestrial Animal Video Generation": "TerrestrialAnimalT2V.zip"
+    }
+  ],
+  "Conditional Video Generation": [
+    {
+      "Style-Specific Text to Video Generation": "StyleT2V.zip"
+    },
+    {
+      "Color-Specific Text to Video Generation": "ColorT2V.zip"
+    },
+    {
+      "Material-Specific Text to Video Generation": "MaterialT2V.zip"
+    }
+  ],
+  "Video Action Generation": [
+    {
+      "Action-Specific Text to Video Generation": "ActionT2V.zip"
+    },
+    {
+      "Human Video Generation": "HumanT2V.zip"
+    },
+    {
+      "Athletics Video Generation": "AthleticsT2V.zip"
+    },
+    {
+      "Concert Video Generation": "ConcertT2V.zip"
+    },
+    {
+      "Water Sports Video Generation": "WaterSportsT2V.zip"
+    }
+  ],
+  "Image-to-Video Generation": [
+    {
+      "Plant Image to Video Generation": "PlantI2V.zip"
+    },
+    {
+      "Human Image to Video Generation": "HumanI2V.zip"
+    },
+    {
+      "Wild Animal Image to Video Generation": "WildAnimalI2V.zip"
+    },
+    {
+      "Architecture Image to Video Generation": "ArchitectureI2V.zip"
+    },
+    {
+      "Food Image to Video Generation": "FoodI2V.zip"
+    },
+    {
+      "Pet Image to Video Generation": "PetI2V.zip"
+    },
+    {
+      "Scene Image to Video Generation": "SceneI2V.zip"
+    },
+    {
+      "Vehicle Image to Video Generation": "VehicleI2V.zip"
+    },
+    {
+      "Furniture Image to Video Generation": "FurnitureI2V.zip"
+    },
+    {
+      "Cloth Image to Video Generation": "ClothI2V.zip"
+    },
+    {
+      "Weather Image to Video Generation": "WeatherI2V.zip"
+    }
+  ],
+  "Video Enhancement": [
+    {
+      "Video Object Demoireing": "VideoObjectDemoireing.zip"
+    },
+    {
+      "Video Denoising": "VideoDenoising.zip"
+    },
+    {
+      "Video Frame Interpolation": "VideoFrameInterpolation.zip"
+    },
+    {
+      "Video Colorization": "VideoColorization.zip"
+    },
+    {
+      "Video Dehazing": "VideoDehazing.zip"
+    },
+    {
+      "Video Desnowing": "VideoDesnowing.zip"
+    },
+    {
+      "Video Deraining": "VideoDeraining.zip"
+    },
+    {
+      "Road Scene Video Superresolution": "RoadSceneVideoSuperresolution.zip"
+    },
+    {
+      "Real World Video Superresolution": "RealWorldVideoSuperresolution.zip"
+    }
+  ],
+  "Video Editing": [
+    {
+      "Video Animal Inpainting": "VideoAnimalInpainting.zip"
+    },
+    {
+      "Video Non-Animal Inpainting": "VideoNonAnimalInpainting.zip"
+    },
+    {
+      "Video Deblurring": "VideoDeblurring.zip"
+    },
+    {
+      "Video Translation": "Video Translation.zip"
+    },
+    {
+      "Portrait Video Style Transfer": "PortraitVideoStyleTransfer.zip"
+    }
+  ]
+}