Spaces:
Runtime error
Runtime error
| { | |
| "text-classification": { | |
| "name": "Text Classification", | |
| "subtasks": [ | |
| { | |
| "type": "acceptability-classification", | |
| "name": "Acceptability Classification", | |
| }, | |
| { | |
| "type": "entity-linking-classification", | |
| "name": "Entity Linking Classification", | |
| }, | |
| { | |
| "type": "fact-checking", | |
| "name": "Fact Checking", | |
| }, | |
| { | |
| "type": "intent-classification", | |
| "name": "Intent Classification", | |
| }, | |
| { | |
| "type": "language-identification", | |
| "name": "Language Identification", | |
| }, | |
| { | |
| "type": "multi-class-classification", | |
| "name": "Multi Class Classification", | |
| }, | |
| { | |
| "type": "multi-label-classification", | |
| "name": "Multi Label Classification", | |
| }, | |
| { | |
| "type": "multi-input-text-classification", | |
| "name": "Multi-input Text Classification", | |
| }, | |
| { | |
| "type": "natural-language-inference", | |
| "name": "Natural Language Inference", | |
| }, | |
| { | |
| "type": "semantic-similarity-classification", | |
| "name": "Semantic Similarity Classification", | |
| }, | |
| { | |
| "type": "sentiment-classification", | |
| "name": "Sentiment Classification", | |
| }, | |
| { | |
| "type": "topic-classification", | |
| "name": "Topic Classification", | |
| }, | |
| { | |
| "type": "semantic-similarity-scoring", | |
| "name": "Semantic Similarity Scoring", | |
| }, | |
| { | |
| "type": "sentiment-scoring", | |
| "name": "Sentiment Scoring", | |
| }, | |
| { | |
| "type": "sentiment-analysis", | |
| "name": "Sentiment Analysis", | |
| }, | |
| { | |
| "type": "hate-speech-detection", | |
| "name": "Hate Speech Detection", | |
| }, | |
| { | |
| "type": "text-scoring", | |
| "name": "Text Scoring", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "orange", | |
| }, | |
| "token-classification": { | |
| "name": "Token Classification", | |
| "subtasks": [ | |
| { | |
| "type": "named-entity-recognition", | |
| "name": "Named Entity Recognition", | |
| }, | |
| { | |
| "type": "part-of-speech", | |
| "name": "Part of Speech", | |
| }, | |
| { | |
| "type": "parsing", | |
| "name": "Parsing", | |
| }, | |
| { | |
| "type": "lemmatization", | |
| "name": "Lemmatization", | |
| }, | |
| { | |
| "type": "word-sense-disambiguation", | |
| "name": "Word Sense Disambiguation", | |
| }, | |
| { | |
| "type": "coreference-resolution", | |
| "name": "Coreference-resolution", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "blue", | |
| }, | |
| "table-question-answering": { | |
| "name": "Table Question Answering", | |
| "modality": "nlp", | |
| "color": "green", | |
| }, | |
| "question-answering": { | |
| "name": "Question Answering", | |
| "subtasks": [ | |
| { | |
| "type": "extractive-qa", | |
| "name": "Extractive QA", | |
| }, | |
| { | |
| "type": "open-domain-qa", | |
| "name": "Open Domain QA", | |
| }, | |
| { | |
| "type": "closed-domain-qa", | |
| "name": "Closed Domain QA", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "blue", | |
| }, | |
| "zero-shot-classification": { | |
| "name": "Zero-Shot Classification", | |
| "modality": "nlp", | |
| "color": "yellow", | |
| }, | |
| "translation": { | |
| "name": "Translation", | |
| "modality": "nlp", | |
| "color": "green", | |
| }, | |
| "summarization": { | |
| "name": "Summarization", | |
| "subtasks": [ | |
| { | |
| "type": "news-articles-summarization", | |
| "name": "News Articles Summarization", | |
| }, | |
| { | |
| "type": "news-articles-headline-generation", | |
| "name": "News Articles Headline Generation", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "indigo", | |
| }, | |
| "conversational": { | |
| "name": "Conversational", | |
| "subtasks": [ | |
| { | |
| "type": "dialogue-generation", | |
| "name": "Dialogue Generation", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "green", | |
| }, | |
| "feature-extraction": { | |
| "name": "Feature Extraction", | |
| "modality": "multimodal", | |
| "color": "red", | |
| }, | |
| "text-generation": { | |
| "name": "Text Generation", | |
| "subtasks": [ | |
| { | |
| "type": "dialogue-modeling", | |
| "name": "Dialogue Modeling", | |
| }, | |
| { | |
| "type": "language-modeling", | |
| "name": "Language Modeling", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "indigo", | |
| }, | |
| "text2text-generation": { | |
| "name": "Text2Text Generation", | |
| "subtasks": [ | |
| { | |
| "type": "text-simplification", | |
| "name": "Text simplification", | |
| }, | |
| { | |
| "type": "explanation-generation", | |
| "name": "Explanation Generation", | |
| }, | |
| { | |
| "type": "abstractive-qa", | |
| "name": "Abstractive QA", | |
| }, | |
| { | |
| "type": "open-domain-abstractive-qa", | |
| "name": "Open Domain Abstractive QA", | |
| }, | |
| { | |
| "type": "closed-domain-qa", | |
| "name": "Closed Domain QA", | |
| }, | |
| { | |
| "type": "open-book-qa", | |
| "name": "Open Book QA", | |
| }, | |
| { | |
| "type": "closed-book-qa", | |
| "name": "Closed Book QA", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "indigo", | |
| }, | |
| "fill-mask": { | |
| "name": "Fill-Mask", | |
| "subtasks": [ | |
| { | |
| "type": "slot-filling", | |
| "name": "Slot Filling", | |
| }, | |
| { | |
| "type": "masked-language-modeling", | |
| "name": "Masked Language Modeling", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "red", | |
| }, | |
| "sentence-similarity": { | |
| "name": "Sentence Similarity", | |
| "modality": "nlp", | |
| "color": "yellow", | |
| }, | |
| "text-to-speech": { | |
| "name": "Text-to-Speech", | |
| "modality": "audio", | |
| "color": "yellow", | |
| }, | |
| "text-to-audio": { | |
| "name": "Text-to-Audio", | |
| "modality": "audio", | |
| "color": "yellow", | |
| }, | |
| "automatic-speech-recognition": { | |
| "name": "Automatic Speech Recognition", | |
| "modality": "audio", | |
| "color": "yellow", | |
| }, | |
| "audio-to-audio": { | |
| "name": "Audio-to-Audio", | |
| "modality": "audio", | |
| "color": "blue", | |
| }, | |
| "audio-classification": { | |
| "name": "Audio Classification", | |
| "subtasks": [ | |
| { | |
| "type": "keyword-spotting", | |
| "name": "Keyword Spotting", | |
| }, | |
| { | |
| "type": "speaker-identification", | |
| "name": "Speaker Identification", | |
| }, | |
| { | |
| "type": "audio-intent-classification", | |
| "name": "Audio Intent Classification", | |
| }, | |
| { | |
| "type": "audio-emotion-recognition", | |
| "name": "Audio Emotion Recognition", | |
| }, | |
| { | |
| "type": "audio-language-identification", | |
| "name": "Audio Language Identification", | |
| }, | |
| ], | |
| "modality": "audio", | |
| "color": "green", | |
| }, | |
| "voice-activity-detection": { | |
| "name": "Voice Activity Detection", | |
| "modality": "audio", | |
| "color": "red", | |
| }, | |
| "depth-estimation": { | |
| "name": "Depth Estimation", | |
| "modality": "cv", | |
| "color": "yellow", | |
| }, | |
| "image-classification": { | |
| "name": "Image Classification", | |
| "subtasks": [ | |
| { | |
| "type": "multi-label-image-classification", | |
| "name": "Multi Label Image Classification", | |
| }, | |
| { | |
| "type": "multi-class-image-classification", | |
| "name": "Multi Class Image Classification", | |
| }, | |
| ], | |
| "modality": "cv", | |
| "color": "blue", | |
| }, | |
| "object-detection": { | |
| "name": "Object Detection", | |
| "subtasks": [ | |
| { | |
| "type": "face-detection", | |
| "name": "Face Detection", | |
| }, | |
| { | |
| "type": "vehicle-detection", | |
| "name": "Vehicle Detection", | |
| }, | |
| ], | |
| "modality": "cv", | |
| "color": "yellow", | |
| }, | |
| "image-segmentation": { | |
| "name": "Image Segmentation", | |
| "subtasks": [ | |
| { | |
| "type": "instance-segmentation", | |
| "name": "Instance Segmentation", | |
| }, | |
| { | |
| "type": "semantic-segmentation", | |
| "name": "Semantic Segmentation", | |
| }, | |
| { | |
| "type": "panoptic-segmentation", | |
| "name": "Panoptic Segmentation", | |
| }, | |
| ], | |
| "modality": "cv", | |
| "color": "green", | |
| }, | |
| "text-to-image": { | |
| "name": "Text-to-Image", | |
| "modality": "multimodal", | |
| "color": "yellow", | |
| }, | |
| "image-to-text": { | |
| "name": "Image-to-Text", | |
| "subtasks": [ | |
| { | |
| "type": "image-captioning", | |
| "name": "Image Captioning", | |
| }, | |
| ], | |
| "modality": "multimodal", | |
| "color": "red", | |
| }, | |
| "image-to-image": { | |
| "name": "Image-to-Image", | |
| "modality": "cv", | |
| "color": "indigo", | |
| }, | |
| "unconditional-image-generation": { | |
| "name": "Unconditional Image Generation", | |
| "modality": "cv", | |
| "color": "green", | |
| }, | |
| "video-classification": { | |
| "name": "Video Classification", | |
| "modality": "cv", | |
| "color": "blue", | |
| }, | |
| "reinforcement-learning": { | |
| "name": "Reinforcement Learning", | |
| "modality": "rl", | |
| "color": "red", | |
| }, | |
| "robotics": { | |
| "name": "Robotics", | |
| "modality": "rl", | |
| "subtasks": [ | |
| { | |
| "type": "grasping", | |
| "name": "Grasping", | |
| }, | |
| { | |
| "type": "task-planning", | |
| "name": "Task Planning", | |
| }, | |
| ], | |
| "color": "blue", | |
| }, | |
| "tabular-classification": { | |
| "name": "Tabular Classification", | |
| "modality": "tabular", | |
| "subtasks": [ | |
| { | |
| "type": "tabular-multi-class-classification", | |
| "name": "Tabular Multi Class Classification", | |
| }, | |
| { | |
| "type": "tabular-multi-label-classification", | |
| "name": "Tabular Multi Label Classification", | |
| }, | |
| ], | |
| "color": "blue", | |
| }, | |
| "tabular-regression": { | |
| "name": "Tabular Regression", | |
| "modality": "tabular", | |
| "subtasks": [ | |
| { | |
| "type": "tabular-single-column-regression", | |
| "name": "Tabular Single Column Regression", | |
| }, | |
| ], | |
| "color": "blue", | |
| }, | |
| "tabular-to-text": { | |
| "name": "Tabular to Text", | |
| "modality": "tabular", | |
| "subtasks": [ | |
| { | |
| "type": "rdf-to-text", | |
| "name": "RDF to text", | |
| }, | |
| ], | |
| "color": "blue", | |
| "hideInModels": true, | |
| }, | |
| "table-to-text": { | |
| "name": "Table to Text", | |
| "modality": "nlp", | |
| "color": "blue", | |
| "hideInModels": true, | |
| }, | |
| "multiple-choice": { | |
| "name": "Multiple Choice", | |
| "subtasks": [ | |
| { | |
| "type": "multiple-choice-qa", | |
| "name": "Multiple Choice QA", | |
| }, | |
| { | |
| "type": "multiple-choice-coreference-resolution", | |
| "name": "Multiple Choice Coreference Resolution", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "blue", | |
| "hideInModels": true, | |
| }, | |
| "text-retrieval": { | |
| "name": "Text Retrieval", | |
| "subtasks": [ | |
| { | |
| "type": "document-retrieval", | |
| "name": "Document Retrieval", | |
| }, | |
| { | |
| "type": "utterance-retrieval", | |
| "name": "Utterance Retrieval", | |
| }, | |
| { | |
| "type": "entity-linking-retrieval", | |
| "name": "Entity Linking Retrieval", | |
| }, | |
| { | |
| "type": "fact-checking-retrieval", | |
| "name": "Fact Checking Retrieval", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "indigo", | |
| "hideInModels": true, | |
| }, | |
| "time-series-forecasting": { | |
| "name": "Time Series Forecasting", | |
| "modality": "tabular", | |
| "subtasks": [ | |
| { | |
| "type": "univariate-time-series-forecasting", | |
| "name": "Univariate Time Series Forecasting", | |
| }, | |
| { | |
| "type": "multivariate-time-series-forecasting", | |
| "name": "Multivariate Time Series Forecasting", | |
| }, | |
| ], | |
| "color": "blue", | |
| "hideInModels": true, | |
| }, | |
| "text-to-video": { | |
| "name": "Text-to-Video", | |
| "modality": "multimodal", | |
| "color": "green", | |
| }, | |
| "visual-question-answering": { | |
| "name": "Visual Question Answering", | |
| "subtasks": [ | |
| { | |
| "type": "visual-question-answering", | |
| "name": "Visual Question Answering", | |
| }, | |
| ], | |
| "modality": "multimodal", | |
| "color": "red", | |
| }, | |
| "document-question-answering": { | |
| "name": "Document Question Answering", | |
| "subtasks": [ | |
| { | |
| "type": "document-question-answering", | |
| "name": "Document Question Answering", | |
| }, | |
| ], | |
| "modality": "multimodal", | |
| "color": "blue", | |
| "hideInDatasets": true, | |
| }, | |
| "zero-shot-image-classification": { | |
| "name": "Zero-Shot Image Classification", | |
| "modality": "cv", | |
| "color": "yellow", | |
| }, | |
| "graph-ml": { | |
| "name": "Graph Machine Learning", | |
| "modality": "multimodal", | |
| "color": "green", | |
| }, | |
| "other": { | |
| "name": "Other", | |
| "modality": "other", | |
| "color": "blue", | |
| "hideInModels": true, | |
| "hideInDatasets": true, | |
| }, | |
| } | |
| { | |
| "text-classification": { | |
| "name": "Text Classification", | |
| "subtasks": [ | |
| { | |
| "type": "acceptability-classification", | |
| "name": "Acceptability Classification", | |
| }, | |
| { | |
| "type": "entity-linking-classification", | |
| "name": "Entity Linking Classification", | |
| }, | |
| { | |
| "type": "fact-checking", | |
| "name": "Fact Checking", | |
| }, | |
| { | |
| "type": "intent-classification", | |
| "name": "Intent Classification", | |
| }, | |
| { | |
| "type": "language-identification", | |
| "name": "Language Identification", | |
| }, | |
| { | |
| "type": "multi-class-classification", | |
| "name": "Multi Class Classification", | |
| }, | |
| { | |
| "type": "multi-label-classification", | |
| "name": "Multi Label Classification", | |
| }, | |
| { | |
| "type": "multi-input-text-classification", | |
| "name": "Multi-input Text Classification", | |
| }, | |
| { | |
| "type": "natural-language-inference", | |
| "name": "Natural Language Inference", | |
| }, | |
| { | |
| "type": "semantic-similarity-classification", | |
| "name": "Semantic Similarity Classification", | |
| }, | |
| { | |
| "type": "sentiment-classification", | |
| "name": "Sentiment Classification", | |
| }, | |
| { | |
| "type": "topic-classification", | |
| "name": "Topic Classification", | |
| }, | |
| { | |
| "type": "semantic-similarity-scoring", | |
| "name": "Semantic Similarity Scoring", | |
| }, | |
| { | |
| "type": "sentiment-scoring", | |
| "name": "Sentiment Scoring", | |
| }, | |
| { | |
| "type": "sentiment-analysis", | |
| "name": "Sentiment Analysis", | |
| }, | |
| { | |
| "type": "hate-speech-detection", | |
| "name": "Hate Speech Detection", | |
| }, | |
| { | |
| "type": "text-scoring", | |
| "name": "Text Scoring", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "orange", | |
| }, | |
| "token-classification": { | |
| "name": "Token Classification", | |
| "subtasks": [ | |
| { | |
| "type": "named-entity-recognition", | |
| "name": "Named Entity Recognition", | |
| }, | |
| { | |
| "type": "part-of-speech", | |
| "name": "Part of Speech", | |
| }, | |
| { | |
| "type": "parsing", | |
| "name": "Parsing", | |
| }, | |
| { | |
| "type": "lemmatization", | |
| "name": "Lemmatization", | |
| }, | |
| { | |
| "type": "word-sense-disambiguation", | |
| "name": "Word Sense Disambiguation", | |
| }, | |
| { | |
| "type": "coreference-resolution", | |
| "name": "Coreference-resolution", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "blue", | |
| }, | |
| "table-question-answering": { | |
| "name": "Table Question Answering", | |
| "modality": "nlp", | |
| "color": "green", | |
| }, | |
| "question-answering": { | |
| "name": "Question Answering", | |
| "subtasks": [ | |
| { | |
| "type": "extractive-qa", | |
| "name": "Extractive QA", | |
| }, | |
| { | |
| "type": "open-domain-qa", | |
| "name": "Open Domain QA", | |
| }, | |
| { | |
| "type": "closed-domain-qa", | |
| "name": "Closed Domain QA", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "blue", | |
| }, | |
| "zero-shot-classification": { | |
| "name": "Zero-Shot Classification", | |
| "modality": "nlp", | |
| "color": "yellow", | |
| }, | |
| "translation": { | |
| "name": "Translation", | |
| "modality": "nlp", | |
| "color": "green", | |
| }, | |
| "summarization": { | |
| "name": "Summarization", | |
| "subtasks": [ | |
| { | |
| "type": "news-articles-summarization", | |
| "name": "News Articles Summarization", | |
| }, | |
| { | |
| "type": "news-articles-headline-generation", | |
| "name": "News Articles Headline Generation", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "indigo", | |
| }, | |
| "conversational": { | |
| "name": "Conversational", | |
| "subtasks": [ | |
| { | |
| "type": "dialogue-generation", | |
| "name": "Dialogue Generation", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "green", | |
| }, | |
| "feature-extraction": { | |
| "name": "Feature Extraction", | |
| "modality": "multimodal", | |
| "color": "red", | |
| }, | |
| "text-generation": { | |
| "name": "Text Generation", | |
| "subtasks": [ | |
| { | |
| "type": "dialogue-modeling", | |
| "name": "Dialogue Modeling", | |
| }, | |
| { | |
| "type": "language-modeling", | |
| "name": "Language Modeling", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "indigo", | |
| }, | |
| "text2text-generation": { | |
| "name": "Text2Text Generation", | |
| "subtasks": [ | |
| { | |
| "type": "text-simplification", | |
| "name": "Text simplification", | |
| }, | |
| { | |
| "type": "explanation-generation", | |
| "name": "Explanation Generation", | |
| }, | |
| { | |
| "type": "abstractive-qa", | |
| "name": "Abstractive QA", | |
| }, | |
| { | |
| "type": "open-domain-abstractive-qa", | |
| "name": "Open Domain Abstractive QA", | |
| }, | |
| { | |
| "type": "closed-domain-qa", | |
| "name": "Closed Domain QA", | |
| }, | |
| { | |
| "type": "open-book-qa", | |
| "name": "Open Book QA", | |
| }, | |
| { | |
| "type": "closed-book-qa", | |
| "name": "Closed Book QA", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "indigo", | |
| }, | |
| "fill-mask": { | |
| "name": "Fill-Mask", | |
| "subtasks": [ | |
| { | |
| "type": "slot-filling", | |
| "name": "Slot Filling", | |
| }, | |
| { | |
| "type": "masked-language-modeling", | |
| "name": "Masked Language Modeling", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "red", | |
| }, | |
| "sentence-similarity": { | |
| "name": "Sentence Similarity", | |
| "modality": "nlp", | |
| "color": "yellow", | |
| }, | |
| "text-to-speech": { | |
| "name": "Text-to-Speech", | |
| "modality": "audio", | |
| "color": "yellow", | |
| }, | |
| "text-to-audio": { | |
| "name": "Text-to-Audio", | |
| "modality": "audio", | |
| "color": "yellow", | |
| }, | |
| "automatic-speech-recognition": { | |
| "name": "Automatic Speech Recognition", | |
| "modality": "audio", | |
| "color": "yellow", | |
| }, | |
| "audio-to-audio": { | |
| "name": "Audio-to-Audio", | |
| "modality": "audio", | |
| "color": "blue", | |
| }, | |
| "audio-classification": { | |
| "name": "Audio Classification", | |
| "subtasks": [ | |
| { | |
| "type": "keyword-spotting", | |
| "name": "Keyword Spotting", | |
| }, | |
| { | |
| "type": "speaker-identification", | |
| "name": "Speaker Identification", | |
| }, | |
| { | |
| "type": "audio-intent-classification", | |
| "name": "Audio Intent Classification", | |
| }, | |
| { | |
| "type": "audio-emotion-recognition", | |
| "name": "Audio Emotion Recognition", | |
| }, | |
| { | |
| "type": "audio-language-identification", | |
| "name": "Audio Language Identification", | |
| }, | |
| ], | |
| "modality": "audio", | |
| "color": "green", | |
| }, | |
| "voice-activity-detection": { | |
| "name": "Voice Activity Detection", | |
| "modality": "audio", | |
| "color": "red", | |
| }, | |
| "depth-estimation": { | |
| "name": "Depth Estimation", | |
| "modality": "cv", | |
| "color": "yellow", | |
| }, | |
| "image-classification": { | |
| "name": "Image Classification", | |
| "subtasks": [ | |
| { | |
| "type": "multi-label-image-classification", | |
| "name": "Multi Label Image Classification", | |
| }, | |
| { | |
| "type": "multi-class-image-classification", | |
| "name": "Multi Class Image Classification", | |
| }, | |
| ], | |
| "modality": "cv", | |
| "color": "blue", | |
| }, | |
| "object-detection": { | |
| "name": "Object Detection", | |
| "subtasks": [ | |
| { | |
| "type": "face-detection", | |
| "name": "Face Detection", | |
| }, | |
| { | |
| "type": "vehicle-detection", | |
| "name": "Vehicle Detection", | |
| }, | |
| ], | |
| "modality": "cv", | |
| "color": "yellow", | |
| }, | |
| "image-segmentation": { | |
| "name": "Image Segmentation", | |
| "subtasks": [ | |
| { | |
| "type": "instance-segmentation", | |
| "name": "Instance Segmentation", | |
| }, | |
| { | |
| "type": "semantic-segmentation", | |
| "name": "Semantic Segmentation", | |
| }, | |
| { | |
| "type": "panoptic-segmentation", | |
| "name": "Panoptic Segmentation", | |
| }, | |
| ], | |
| "modality": "cv", | |
| "color": "green", | |
| }, | |
| "text-to-image": { | |
| "name": "Text-to-Image", | |
| "modality": "multimodal", | |
| "color": "yellow", | |
| }, | |
| "image-to-text": { | |
| "name": "Image-to-Text", | |
| "subtasks": [ | |
| { | |
| "type": "image-captioning", | |
| "name": "Image Captioning", | |
| }, | |
| ], | |
| "modality": "multimodal", | |
| "color": "red", | |
| }, | |
| "image-to-image": { | |
| "name": "Image-to-Image", | |
| "modality": "cv", | |
| "color": "indigo", | |
| }, | |
| "unconditional-image-generation": { | |
| "name": "Unconditional Image Generation", | |
| "modality": "cv", | |
| "color": "green", | |
| }, | |
| "video-classification": { | |
| "name": "Video Classification", | |
| "modality": "cv", | |
| "color": "blue", | |
| }, | |
| "reinforcement-learning": { | |
| "name": "Reinforcement Learning", | |
| "modality": "rl", | |
| "color": "red", | |
| }, | |
| "robotics": { | |
| "name": "Robotics", | |
| "modality": "rl", | |
| "subtasks": [ | |
| { | |
| "type": "grasping", | |
| "name": "Grasping", | |
| }, | |
| { | |
| "type": "task-planning", | |
| "name": "Task Planning", | |
| }, | |
| ], | |
| "color": "blue", | |
| }, | |
| "tabular-classification": { | |
| "name": "Tabular Classification", | |
| "modality": "tabular", | |
| "subtasks": [ | |
| { | |
| "type": "tabular-multi-class-classification", | |
| "name": "Tabular Multi Class Classification", | |
| }, | |
| { | |
| "type": "tabular-multi-label-classification", | |
| "name": "Tabular Multi Label Classification", | |
| }, | |
| ], | |
| "color": "blue", | |
| }, | |
| "tabular-regression": { | |
| "name": "Tabular Regression", | |
| "modality": "tabular", | |
| "subtasks": [ | |
| { | |
| "type": "tabular-single-column-regression", | |
| "name": "Tabular Single Column Regression", | |
| }, | |
| ], | |
| "color": "blue", | |
| }, | |
| "tabular-to-text": { | |
| "name": "Tabular to Text", | |
| "modality": "tabular", | |
| "subtasks": [ | |
| { | |
| "type": "rdf-to-text", | |
| "name": "RDF to text", | |
| }, | |
| ], | |
| "color": "blue", | |
| "hideInModels": true, | |
| }, | |
| "table-to-text": { | |
| "name": "Table to Text", | |
| "modality": "nlp", | |
| "color": "blue", | |
| "hideInModels": true, | |
| }, | |
| "multiple-choice": { | |
| "name": "Multiple Choice", | |
| "subtasks": [ | |
| { | |
| "type": "multiple-choice-qa", | |
| "name": "Multiple Choice QA", | |
| }, | |
| { | |
| "type": "multiple-choice-coreference-resolution", | |
| "name": "Multiple Choice Coreference Resolution", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "blue", | |
| "hideInModels": true, | |
| }, | |
| "text-retrieval": { | |
| "name": "Text Retrieval", | |
| "subtasks": [ | |
| { | |
| "type": "document-retrieval", | |
| "name": "Document Retrieval", | |
| }, | |
| { | |
| "type": "utterance-retrieval", | |
| "name": "Utterance Retrieval", | |
| }, | |
| { | |
| "type": "entity-linking-retrieval", | |
| "name": "Entity Linking Retrieval", | |
| }, | |
| { | |
| "type": "fact-checking-retrieval", | |
| "name": "Fact Checking Retrieval", | |
| }, | |
| ], | |
| "modality": "nlp", | |
| "color": "indigo", | |
| "hideInModels": true, | |
| }, | |
| "time-series-forecasting": { | |
| "name": "Time Series Forecasting", | |
| "modality": "tabular", | |
| "subtasks": [ | |
| { | |
| "type": "univariate-time-series-forecasting", | |
| "name": "Univariate Time Series Forecasting", | |
| }, | |
| { | |
| "type": "multivariate-time-series-forecasting", | |
| "name": "Multivariate Time Series Forecasting", | |
| }, | |
| ], | |
| "color": "blue", | |
| "hideInModels": true, | |
| }, | |
| "text-to-video": { | |
| "name": "Text-to-Video", | |
| "modality": "multimodal", | |
| "color": "green", | |
| }, | |
| "visual-question-answering": { | |
| "name": "Visual Question Answering", | |
| "subtasks": [ | |
| { | |
| "type": "visual-question-answering", | |
| "name": "Visual Question Answering", | |
| }, | |
| ], | |
| "modality": "multimodal", | |
| "color": "red", | |
| }, | |
| "document-question-answering": { | |
| "name": "Document Question Answering", | |
| "subtasks": [ | |
| { | |
| "type": "document-question-answering", | |
| "name": "Document Question Answering", | |
| }, | |
| ], | |
| "modality": "multimodal", | |
| "color": "blue", | |
| "hideInDatasets": true, | |
| }, | |
| "zero-shot-image-classification": { | |
| "name": "Zero-Shot Image Classification", | |
| "modality": "cv", | |
| "color": "yellow", | |
| }, | |
| "graph-ml": { | |
| "name": "Graph Machine Learning", | |
| "modality": "multimodal", | |
| "color": "green", | |
| }, | |
| "other": { | |
| "name": "Other", | |
| "modality": "other", | |
| "color": "blue", | |
| "hideInModels": true, | |
| "hideInDatasets": true, | |
| }, | |
| } |