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Invalid JSON:
Unexpected token 'P', "PIPELINE_D"... is not valid JSON
| PIPELINE_DATA = [ | |
| "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, | |
| }, | |
| ] |