CoolFace
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google-research-datasets /natural_questions Dataset Card for Natural Questions Dataset Summary The NQ corpus contains questions from real users, and it requires QA systems to read and comprehend an entire Wikipedia article that may or may not contain the answer to the question. The inclusion of real user questions, and the requirement that solutions should read an entire page to find the answer, cause NQ to be a more realistic and challenging task than prior QA datasets. Supported Tasks and Leaderboards… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/natural_questions.textquestion-answering10K<n<100K127 likes80k downloads3y agoHugging Facejxcai-scale /hle-public-questionstext1K<n<10K0 likes61k downloads1y agoHugging Facestanfordnlp /web_questions 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.textquestion-answering1K<n<10K42 likes13k downloads3y agoHugging Facesentence-transformers /natural-questions Dataset Card for Natural Questions This dataset is a collection of question-answer pairs from the Natural Questions dataset. See Natural Questions for additional information. This dataset can be used directly with Sentence Transformers to train embedding models. Dataset Subsets pair subset Columns: "question", "answer" Column types: str, str Examples:{ 'query': 'the si unit of the electric field is', 'answer': 'Electric field An electric field is a field… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/natural-questions.textfeature-extraction100K<n<1M50 likes3.1k downloads2y agoHugging Facepixparse /docvqa-single-page-questions Dataset Card for DocVQA Dataset Dataset Summary DocVQA dataset is a document dataset introduced in Mathew et al. (2021) consisting of 50,000 questions defined on 12,000+ document images. Please visit the challenge page (https://rrc.cvc.uab.es/?ch=17) and paper (https://arxiv.org/abs/2007.00398) for further information. Usage This dataset can be used with current releases of Hugging Face datasets library. Here is an example using a custom collator to bundle… See the full description on the dataset page: https://huggingface.co/datasets/pixparse/docvqa-single-page-questions.imagequestion-answering10K<n<100K11 likes2.8k downloads2y agoHugging Faceweaviate /enron-qa-questions-dasovich-jtext10K<n<100K0 likes2.7k downloads1y agoHugging Face