Scripts to preprocess the CHiME-5 dataset. Contribute to UDASE-CHiME2023/CHiME-5 development by creating an account on GitHub.
exportOPENAI_API_KEY="{KEY}"# 自己的api-keyexportEVALPLUS_MAX_MEMORY_BYTES=-1##内存最大使用,单位Bytes,-1表示无限制evalplus.evaluate --model"qwen2.5-coder-32b-instruct"\--dataset humaneval\--base-url https://dashscope.aliyuncs.com/compatible-mode/v1\--backend openai --greedy\--min-time...
2. ReForm-Eval仅提供dataset和evaluate接口,用户通过自己的模型接口进行推理: a. 通过ReForm-Eval提供的build.load_reform_dataset的接口获取ReForm-Eval评测的数据集,读取到的数据将以字典的形式提供给用户(需要注意用户需要自己实现或使用...
二、StrucText-Eval Dataset Construction 2.1 Structure-Rich Texts Taxonomy(富结构文本分类) 图1:StrucText-Eval里的一些分类 为了全面研究结构丰富的文本,提出了一个涵盖八种结构化数据类型的数据集,这些类型在一个分类体系中进行分类。该分类体系包括结构化和半结构化数据格式,如下所示: 结构化数据类型:树(Tree)...
2. ReForm-Eval仅提供dataset和evaluate接口,用户通过自己的模型接口进行推理: a. 通过ReForm-Eval提供的build.load_reform_dataset的接口获取ReForm-Eval评测的数据集,读取到的数据将以字典的形式提供给用户(需要注意用户需要自己实现或使用ReForm-Eval中的Preprocessor类功能来讲字典里的结构数据处理成模型需要的文本输入...
Best Score 1.00 V1 License This Notebook has been released under the Apache 2.0 open source license. Continue exploring Input6 files arrow_right_alt Output0 files arrow_right_alt Logs3.9 second run - successful arrow_right_alt Comments0 comments arrow_right_alt...
dataset [humaneval|mbpp] \ --base-url https://api.deepseek.com \ --backend openai --greedy # Grok export OPENAI_API_KEY="{KEY}" # https://console.x.ai/ evalplus.evaluate --model "grok-beta" \ --dataset [humaneval|mbpp] \ --base-url https://api.x.ai/v1 \ --backend ...
为了打破这一困境,中国医学科学院基础医学研究所、中国中医科学院中医药信息研究所等机构的研究人员开展了一项极具意义的研究。他们精心打造了 TCMEval-SDT(a benchmark dataset for syndrome differentiation thought of traditional Chinese medicine)这个大型公开基准数据集,相关研究成果发表在《Scientific Data》上。
This is an evaluation harness for the HumanEval problem solving dataset described in the paper "Evaluating Large Language Models Trained on Code". It used to measure functional correctness for synthesizing programs from docstrings. It consists of 164 original programming problems, assessing language comp...
This paper presents CG-Eval, the first comprehensive evaluation of the generation capabilities of large Chinese language models across a wide range of academic disciplines. The models' performance was assessed based on their ability to generate accurate and relevant responses to different types of quest...