Dataset Card for "web_questions"

  Dataset Summary

This dataset consists of 6,642 question/answer pairs. The questions are supposed to be answerable by Freebase, a large knowledge graph. The questions are mostly centered around a single named entity. The questions are popular ones asked on the web (at least in 2013).

  Supported Tasks and Leaderboards

More Information Needed

  Languages

More Information Needed

  Dataset Structure





  Data… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/web_questions.

The task of Question Answering over Linked Data (QALD) has received increased attention over the last years (see the surveys [14] and [36]). The task consists in mapping natural language questions into an executable form, e.g. a SPARQL query in particular, that allows to retrieve answers to the question from a given knowledge base.

The WebQuestions dataset contains questions answerable using Google Suggest as the knowledge graph.

fixie-ai/spoken-web-questions dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset only contains test data, which is integrated into UltraEval-Audio(https://github.com/OpenBMB/UltraEval-Audio) framework.

python audio_evals/main.py --dataset speech-web-questions --model gpt4o_speech

  🚀超凡体验，尽在UltraEval-Audio🚀

UltraEval-Audio——全球首个同时支持语音理解和语音生成评估的开源框架，专为语音大模型评估打造，集合了34项权威Benchmark，覆盖语音、声音、医疗及音乐四大领域，支持十种语言，涵盖十二类任务。选择UltraEval-Audio，您将体验到前所未有的便捷与高效：

一键式基准管理 📥：告别繁琐的手动下载与数据处理，UltraEval-Audio为您自动化完成这一切，轻松获取所需基准测试数据。 内置评估利器… See the full description on the dataset page: https://huggingface.co/datasets/TwinkStart/speech-web-questions.

Dataset

This dataset was created by Adnan Maqbool

Contents

Open-domain QA datasets for testing the proposed method

chiyuanhsiao/inference_slm_spoken-web-questions dataset hosted on Hugging Face and contributed by the HF Datasets community

ComplexWebQuestions is a dataset for answering complex questions that require reasoning over multiple web snippets. It contains a large set of complex questions in natural language, and can be used in multiple ways: 1) By interacting with a search engine, which is the focus of our paper (Talmor and Berant, 2018); 2) As a reading comprehension task: we release 12,725,989 web snippets that are relevant for the questions, and were collected during the development of our model; 3) As a semantic parsing task: each question is paired with a SPARQL query that can be executed against Freebase to retrieve the answer.

The WebQuestionsSP dataset is released as part of our ACL-2016 paper “The Value of Semantic Parse Labeling for Knowledge Base Question Answering” [Yih, Richardson, Meek, Chang & Suh, 2016], in which we evaluated the value of gathering semantic parses, vs. answers, for a set of questions that originally comes from WebQuestions [Berant et al., 2013]. The WebQuestionsSP dataset contains full semantic parses in SPARQL queries for 4,737 questions, and “partial” annotations for the remaining 1,073 questions for which a valid parse could not be formulated or where the question itself is bad or needs a descriptive answer. This release also includes an evaluation script and the output of the STAGG semantic parsing system when trained using the full semantic parses. More detail can be found in the document and labeling instructions included in this release, as well as the paper.

Accuracy achieved in the relation detection task on the Top 5 most frequent question types in WebQuestions.

Accuracy achieved in the relation detection sub task on the WebQuestions test set.

chiyuanhsiao/text_mllama_spoken-web-questions dataset hosted on Hugging Face and contributed by the HF Datasets community

chiyuanhsiao/text_no-replay-14_spoken-web-questions dataset hosted on Hugging Face and contributed by the HF Datasets community

Instructions and printable student handouts for technology-based lesson using the EPA’s EnviroAtlas tool. Laptops or computers required for use of this mini-lesson.

Author: Lisa SandersGrade/Audience: high school, ap human geographyResource type: activitySubject topic(s): culture, human geographyRegion: worldStandards: APHG CED Unit 3Objectives: See the APHG CED Unit 3 for specific objectives covered in this activity. Summary: This webquest gives students links to follow to learn about the concepts associated with langugage in AP Human Geography. Can be adapted for World Geography classes.

chiyuanhsiao/spoken-web-questions dataset hosted on Hugging Face and contributed by the HF Datasets community

chiyuanhsiao/text_merge-dare_spoken-web-questions dataset hosted on Hugging Face and contributed by the HF Datasets community

chiyuanhsiao/audio_L2-regular_spoken-web-questions-score dataset hosted on Hugging Face and contributed by the HF Datasets community

chiyuanhsiao/text_merge-ties_spoken-web-questions dataset hosted on Hugging Face and contributed by the HF Datasets community