prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the LED(Q,P,H) model in the ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers paper on the ArgSciChat dataset? | Fact-F1 |
What metrics were used to measure the DsIPR model in the Deep Single-Image Portrait Relighting paper on the Multi-PIE dataset? | Si-L2, Si-MSE |
What metrics were used to measure the Holistic-nested CNN model in the Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation paper on the TCIA Pancreas-CT dataset? | Dice Score |
What metrics were used to measure the Multi-class 3D FCN model in the An application of cascaded 3D fully convolutional networks for medical image segmentation paper on the TCIA Pancreas-CT dataset? | Dice Score |
What metrics were used to measure the CodeTrans-MT-Large model in the CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing paper on the CodeSearchNet - Java dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (MLM+RTD) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Java dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (MLM) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Java dataset? | Smoothed BLEU-4 |
What metrics were used to measure the RoBERTa model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Java dataset? | Smoothed BLEU-4 |
What metrics were used to measure the pre-train w/ code only model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Java dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (RTD) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Java dataset? | Smoothed BLEU-4 |
What metrics were used to measure the Transformer model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Java dataset? | Smoothed BLEU-4 |
What metrics were used to measure the seq2seq model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Java dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeTrans-MT-Base model in the CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing paper on the CodeSearchNet - Php dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (MLM+RTD) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Php dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (MLM) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Php dataset? | Smoothed BLEU-4 |
What metrics were used to measure the pre-train w/ code only model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Php dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (RTD) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Php dataset? | Smoothed BLEU-4 |
What metrics were used to measure the RoBERTa model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Php dataset? | Smoothed BLEU-4 |
What metrics were used to measure the seq2seq model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Php dataset? | Smoothed BLEU-4 |
What metrics were used to measure the Transformer model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Php dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (MLM+RTD) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (MLM) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet dataset? | Smoothed BLEU-4 |
What metrics were used to measure the pre-train w/ code only model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (RTD) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet dataset? | Smoothed BLEU-4 |
What metrics were used to measure the RoBERTa model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet dataset? | Smoothed BLEU-4 |
What metrics were used to measure the Transformer model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet dataset? | Smoothed BLEU-4 |
What metrics were used to measure the seq2seq model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet dataset? | Smoothed BLEU-4 |
What metrics were used to measure the Transformer model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - JavaScript dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeTrans-TF-Large model in the CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing paper on the CodeSearchNet - JavaScript dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (MLM+RTD) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - JavaScript dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (RTD) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - JavaScript dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (MLM) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - JavaScript dataset? | Smoothed BLEU-4 |
What metrics were used to measure the pre-train w/ code only model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - JavaScript dataset? | Smoothed BLEU-4 |
What metrics were used to measure the seq2seq model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - JavaScript dataset? | Smoothed BLEU-4 |
What metrics were used to measure the RoBERTa model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - JavaScript dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeTrans-MT-Base model in the CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing paper on the CodeSearchNet - Python dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (MLM) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Python dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (MLM+RTD) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Python dataset? | Smoothed BLEU-4 |
What metrics were used to measure the pre-train w/ code only model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Python dataset? | Smoothed BLEU-4 |
What metrics were used to measure the RoBERTa model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Python dataset? | Smoothed BLEU-4 |
What metrics were used to measure the Transformer model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Python dataset? | Smoothed BLEU-4 |
What metrics were used to measure the seq2seq model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Python dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeTrans-MT-Base model in the CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing paper on the CodeSearchNet - Ruby dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (MLM+RTD) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Ruby dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (MLM) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Ruby dataset? | Smoothed BLEU-4 |
What metrics were used to measure the Transformer model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Ruby dataset? | Smoothed BLEU-4 |
What metrics were used to measure the pre-train w/ code only model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Ruby dataset? | Smoothed BLEU-4 |
What metrics were used to measure the RoBERTa model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Ruby dataset? | Smoothed BLEU-4 |
What metrics were used to measure the seq2seq model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Ruby dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (MLM) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Go dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (MLM+RTD) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Go dataset? | Smoothed BLEU-4 |
What metrics were used to measure the pre-train w/ code only model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Go dataset? | Smoothed BLEU-4 |
What metrics were used to measure the RoBERTa model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Go dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeBERT (RTD) model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Go dataset? | Smoothed BLEU-4 |
What metrics were used to measure the seq2seq model in the CodeBERT: A Pre-Trained Model for Programming and Natural Languages paper on the CodeSearchNet - Go dataset? | Smoothed BLEU-4 |
What metrics were used to measure the CodeTrans-TF-Large model in the CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing paper on the CodeSearchNet - Go dataset? | Smoothed BLEU-4 |
What metrics were used to measure the OpenPose (body only) model in the BlazePose: On-device Real-time Body Pose tracking paper on the Google-AR dataset? | PCK@0.2 |
What metrics were used to measure the BlazePose Full model in the BlazePose: On-device Real-time Body Pose tracking paper on the Google-AR dataset? | PCK@0.2 |
What metrics were used to measure the BlazePose Lite model in the BlazePose: On-device Real-time Body Pose tracking paper on the Google-AR dataset? | PCK@0.2 |
What metrics were used to measure the TesseTrack model in the TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking paper on the Human3.6M dataset? | Average MPJPE (mm) |
What metrics were used to measure the Liftformer (n=243 CPN) model in the LiftFormer: 3D Human Pose Estimation using attention models paper on the Human3.6M dataset? | Average MPJPE (mm) |
What metrics were used to measure the Liftformer (n=81 CPN) model in the LiftFormer: 3D Human Pose Estimation using attention models paper on the Human3.6M dataset? | Average MPJPE (mm) |
What metrics were used to measure the Liftformer (n=27 CPN) model in the LiftFormer: 3D Human Pose Estimation using attention models paper on the Human3.6M dataset? | Average MPJPE (mm) |
What metrics were used to measure the BlazePose Full model in the BlazePose: On-device Real-time Body Pose tracking paper on the Google-Yoga dataset? | PCK@0.2 |
What metrics were used to measure the OpenPose (body only) model in the BlazePose: On-device Real-time Body Pose tracking paper on the Google-Yoga dataset? | PCK@0.2 |
What metrics were used to measure the BlazePose Lite model in the BlazePose: On-device Real-time Body Pose tracking paper on the Google-Yoga dataset? | PCK@0.2 |
What metrics were used to measure the A2J model in the A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image paper on the K2HPD dataset? | FPS |
What metrics were used to measure the GSNet model in the GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision paper on the ApolloCar3D dataset? | A3DP |
What metrics were used to measure the Occlusion-NET model in the Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks paper on the CarFusion dataset? | 3DPCK |
What metrics were used to measure the A2T model in the Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models paper on the BabelDomains dataset? | F1-Score |
What metrics were used to measure the CFS-TSK+ model in the Curvature-based Feature Selection with Application in Classifying Electronic Health Records paper on the Cervical Cancer (Risk Factors) Data Set dataset? | Mean Accuracy |
What metrics were used to measure the CFS-QDA model in the Curvature-based Feature Selection with Application in Classifying Electronic Health Records paper on the Breast Tissue Data Set dataset? | Mean Accuracy |
What metrics were used to measure the Human Expert model in the Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning paper on the Geometry3K dataset? | Accuracy (%) |
What metrics were used to measure the Inter-GPS (GT) model in the Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning paper on the Geometry3K dataset? | Accuracy (%) |
What metrics were used to measure the PGDPNet model in the Plane Geometry Diagram Parsing paper on the Geometry3K dataset? | Accuracy (%) |
What metrics were used to measure the Inter-GPS model in the Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning paper on the Geometry3K dataset? | Accuracy (%) |
What metrics were used to measure the Human model in the Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning paper on the Geometry3K dataset? | Accuracy (%) |
What metrics were used to measure the Random model in the Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning paper on the Geometry3K dataset? | Accuracy (%) |
What metrics were used to measure the Inter-GPS model in the Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning paper on the GeoS dataset? | Accuracy (%) |
What metrics were used to measure the GEOS model in the Solving Geometry Problems: Combining Text and Diagram Interpretation paper on the GeoS dataset? | Accuracy (%) |
What metrics were used to measure the Transformer with Adapters model in the Lightweight Adapter Tuning for Multilingual Speech Translation paper on the MuST-C dataset? | SacreBLEU |
What metrics were used to measure the Dual-decoder Transformer model in the Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation paper on the MuST-C dataset? | SacreBLEU |
What metrics were used to measure the Speechformer model in the Speechformer: Reducing Information Loss in Direct Speech Translation paper on the MuST-C EN->NL dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Transformer + ASR Pretrain + SpecAug model in the NeurST: Neural Speech Translation Toolkit paper on the libri-trans dataset? | Case-insensitive sacreBLEU, Case-insensitive tokenized BLEU, Case-sensitive sacreBLEU, Case-sensitive tokenized BLEU |
What metrics were used to measure the Transformer + ASR Pretrain model in the NeurST: Neural Speech Translation Toolkit paper on the libri-trans dataset? | Case-insensitive sacreBLEU, Case-insensitive tokenized BLEU, Case-sensitive sacreBLEU, Case-sensitive tokenized BLEU |
What metrics were used to measure the Task Modulation + Multitask Learning(ASR/MT) + Data Augmentation model in the TASK AWARE MULTI-TASK LEARNING FOR SPEECH TO TEXT TASKS paper on the MuST-C EN->DE dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Wav2Vec2.0+mBART+Adaptors model in the End-to-End Speech Translation with Pre-trained Models and Adapters: UPC at IWSLT 2021 paper on the MuST-C EN->DE dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Transformer + Meta Learning(ASR/MT) + Data Augmentation model in the End-to-End Offline Speech Translation System for IWSLT 2020 using Modality Agnostic Meta-Learning paper on the MuST-C EN->DE dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Transformer with Adapters model in the Lightweight Adapter Tuning for Multilingual Speech Translation paper on the MuST-C EN->DE dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Dual-decoder Transformer model in the Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation paper on the MuST-C EN->DE dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Speechformer model in the Speechformer: Reducing Information Loss in Direct Speech Translation paper on the MuST-C EN->DE dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Transformer + ASR Pretrain model in the NeurST: Neural Speech Translation Toolkit paper on the MuST-C EN->DE dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Transformer + ASR Pretrain model in the fairseq S2T: Fast Speech-to-Text Modeling with fairseq paper on the MuST-C EN->DE dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Transformer with Adapters model in the Lightweight Adapter Tuning for Multilingual Speech Translation paper on the MuST-C EN->ES dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Speechformer model in the Speechformer: Reducing Information Loss in Direct Speech Translation paper on the MuST-C EN->ES dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Dual-decoder Transformer model in the Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation paper on the MuST-C EN->ES dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Transformer + ASR Pretrain + SpecAug model in the NeurST: Neural Speech Translation Toolkit paper on the MuST-C EN->ES dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Transformer + ASR Pretrain model in the NeurST: Neural Speech Translation Toolkit paper on the MuST-C EN->ES dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Dual-decoder Transformer model in the Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation paper on the MuST-C EN->FR dataset? | Case-sensitive sacreBLEU |
What metrics were used to measure the Transformer + ASR Pretrain + SpecAug model in the NeurST: Neural Speech Translation Toolkit paper on the MuST-C EN->FR dataset? | Case-sensitive sacreBLEU |
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