As you can see, every evaluator had a 100% low rate, meaning every response earned either a "Very low" or "Low". The average score is slightly above zero, but that just means that some responses got "Low" instea
1. Literal meaning (字面意思): - Please put the book on the table. (请把书放在桌子上。) - There is a cup of coffee on the table. (桌子上有一杯咖啡。) 2. Under consideration or discussion (正在考虑或讨论): - The proposal is on the table for further discussion. (这个提议 正在被讨...
Counter is a tool that is able to evaluate scoped meaning representations, in this case Discourse Representation Structures (DRSs). It compares sets of clauses and outputs an F-score. The tool can be used to evaluate different DRS-parsers. It is based onSMATCH, with a number of modifications...
This way, it becomes easier to assign meaning. Then, remove the stopwords to improve the performance. Stopword removal involves removal of words that commonly occur across all documents in the corpus. Stopword removal is one of the most commonly used preprocessing steps in natural language ...
closed this ascompletedon Aug 7, 2023 Hi@robbmcleod, just wanted to point out that you can still access other attributes because Python translates some utf chars into ascii chars automatically (mainly greek alphabet used in math), thus: ...
Spearman is a rank-order correlation metric meaning that changes to predicted or actual values won't change the Spearman result if they don't change the rank order of predicted or actual values. Objective: Closer to 1 the better Range: [-1, 1] Calculation Metric normalization Automated ML ...
In this case, the innermost parenthesized subexpression is evaluated first.During evaluation, operators with the same precedence level (such as addition and subtraction) are processed according to their associativity, meaning how operators having the same precedence are grouped when parentheses are absent...
If the reference point cloud does not have class codes whose values or meaning match the classes in the models being evaluated, use the Point Cloud Class Remap parameter to designate the reference point cloud's classification with the codes in the trained models. The PointCNN deep learning ...
In the example below, you will use the handy StratifiedKFold class from the scikit-learn Python machine learning library to split the training dataset into 10 folds. The folds are stratified, meaning that the algorithm attempts to balance the number of instances of each class in each fold. Th...
We follow CogVideoX's prompt optimization technique to enhance VBench prompts using GPT-4o, making them longer and more descriptive without altering their original meaning. [08/2024] VBench Leaderboard update: Our leaderboard has 28 T2V models, 12 I2V models so far. All video generative ...