To investigate question answering with prior knowledge, we present COMMONSENSEQA: a challenging new dataset for commonsense question answering. To capture common sense beyond associations, we extract from CON-CEPTNET (Speer et al., 2017) multiple target concepts that have the same semantic relation ...
External attentionis complementary to self-attention, which has been widely adopted by many of today’s AI systems, such as those usingTransformers(opens in new tab). These systems rely on a large amount of diverse data to achieve impressive AI performance with huge-size ...
Jérøme E. Blanch∑xt · 5y ago· 943 views arrow_drop_up6 Copy & Edit57 more_vert CommonsenseQA Dataset Analysis 🦄 🤗 🔥NotebookInputOutputLogsComments (0)Output Data Download notebook output navigate_nextminimize content_copyhelp...
}} Input (8.58 MB) folder Data Sources arrow_drop_down CommonsenseQA NLP Dataset 🦄 🤗 🔥 dev_rand_split.jsonl dev_rand_split_EASY.jsonl test_rand_split_no_answers.jsonl train_rand_split.jsonl train_rand_split_EASY.jsonl
bert esim README.md README CommonsenseQA A question answering dataset for commonsense reasoning. Check out thewebsite! Downloading the Data You can download the data from thewebsite, which also has an evaluation script. Theleaderboardis for therandomsplit of the data. ...
To investigate question answering with prior knowledge, we present CommonsenseQA: a challenging new dataset for commonsense question answering. To capture common sense beyond associations, we extract from ConceptNet (Speer et al., 2017) multiple target concepts that have the same semantic relation to ...
Issues1 Pull requests Actions Projects Security Insights Additional navigation options main 1Branch0Tags Code README License This repository contains the publicly released dataset for the Explanations for CommonsenseQA paper, presented at ACL-IJCNLP 2021. We provide the complete annotated dataset in the ...
表2 WikiHop dataset实验结果 4.2.2 消融实验 对模型进行消融实验,即对实验中的每一层经行重要性量化,实验数据集主要是NarrativeQA验证集,实验结果如表3: 表3 模型消融实验 其中1号-表示的是基准实验,后面的-表示去掉。 4.2.3 常识消融实验 原文中设计常识消融实验是为了验证模型NOIC的有效性。第一组不加常识信息...
READING comprehensionPROBLEM-based learningNEUROLINGUISTICSUnlike previous dialogue-based question-answering (QA) datasets, DREAM, multiple-choice Dialogue-based REAding comprehension exaMination dataset, requires a deep understanding of dialogue. Many problems require multi-sentence reasoning, whereas ...
Dataset Split Text annotation Original Data Install Please create an env for this project using miniconda (should installminicondafirst) >conda create -n causal-vidqa python==3.6.12 >conda activate causal-vidqa >git clone https://github.com/bcmi/Causal-VidQA >pip install -r requirement.txt ...