trec dataset question classification
We can, for example, reduce "singer," "singing," "sang," and "sang" to a singular version of the word "sing. This is a public domain speech dataset consisting of 13,100 short audio clips of a single speaker reading passages from 7 non-fiction books. Introduction A.1. Large Movie Review Dataset. Text Classification Dataset Repositories. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. All images have an associated ground truth annotation of breed. You can load a CSV format classification dataset using CSVClassificationCorpus by passing in a column format (like in ColumnCorpus above). TREC Data Repository: This data repository began at the Text Retrieval Conference which began as a means to support ongoing research within the information retrieval committee. A Test Collection for Ad-hoc Dataset Retrieval Makoto P. Kato, Hiroaki Ohshima, Ying-Hsang Liu and Hsinliang Chen. Unless specifically stated in the applicable dataset documentation, datasets available through the Registry of Open Data on AWS are not provided and maintained by AWS. Todays emergence of large digital documents makes the text classification task more crucial, The first dataset was a question answering dataset featuring 100,000 real Bing questions and a. This dataset is just like the CIFAR-10, except it has 100 classes containing 600 images each. It aggregates passage and question vectors from the input data passages pools, does large similarity matrix calculation for those representations and then averages the rank of the gold passage for each question. Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering Mayank Kothyari, Aman Jain, Vishwajeet Kumar, Preethi Jyothi, Soumen Chakrabarti and Ganesh Ramakrishnan The classes can be based on topic, genre, or sentiment. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. Note: * Some images from the train and validation sets don't have annotations. ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. For experiments, we collect a large-scale Chinese dataset from Sina Weibo containing over 20K polls. Pre-trained models and datasets built by Google and the community Data Pre-processing. Pre-trained models and datasets built by Google and the community Add to this registry. Pre-trained models and datasets built by Google and the community Fashion-MNIST is a dataset of Zalando's article images consisting of a training set of 60,000 examples and a test set of 10,000 examples. Dataset :pytorchDatasetTabularDatasetField torchtextDatasetsplits To address the class-label preservation issue in unconditional augmentation, conditional augmentation techniques using pre-trained language models such as BERT, GP2, and BART as generator models are proposed. TREC QA Collection: Since 1999, TRECs answering track has been getting things done. Object Languages Description 'WASSA_ANGER' English: and other metadata. Towards this end, we introduce the first Chinese Open-domain DocVQA dataset called DuReader vis, containing about 15K question-answering pairs and 158K document images from the Baidu search engine. Description:; Cityscapes is a dataset consisting of diverse urban street scenes across 50 different cities at varying times of the year as well as ground truths for several vision tasks including semantic segmentation, instance level segmentation (TODO), and stereo pair disparity inference. T ext classification is one of the popular tasks in NLP that allows a program to classify free-text documents based on pre-defined classes. MS MARCO.Starting with a paper released at NIPS 2016, MS MARCO is a collection of datasets focused on deep learning in search. The Oxford-IIIT pet dataset is a 37 category pet image dataset with roughly 200 images for each class. If you want to add a dataset or example of how to use a dataset to this registry, please follow the instructions on the Registry of Open Data on AWS GitHub repository.. Visualization: Explore in Know Your Data north_east . Discount Cruises. The TREC question classification dataset: Text Regression datasets Text Regression. AMRG Cardiac Atlas The AMRG Cardiac MRI Atlas is a complete labelled MRI image set of a normal patient's heart acquired with the Auckland MRI Research Group 's Siemens Avanto scanner. The images have large variations in scale, pose and lighting. * Coco 2014 and 2017 uses the same images, but different train/val/test splits * The test split don't have any annotations (only images). Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". Each example is a 28x28 grayscale image, associated with a label from 10 classes. There is Cruise agents compete for best cruise prices on discounted cruise deals. Its primary goal is to provide a way to build and test small models that detect when a single word is spoken, from a set of ten target words, with as few false positives as possible from background noise or unrelated speech. COCO is a large-scale object detection, segmentation, and captioning dataset. Pre-trained models and datasets built by Google and the community This metric wrap the official scoring script for version 1 of the Stanford Question Answering Dataset (SQuAD). Password requirements: 6 to 30 characters long; ASCII characters only (characters found on a standard US keyboard); must contain at least 4 different symbols; Warning: Manual download required. Photo by Annie Spratt on Unsplash A. The atlas aims to provide university and school students, MR technologists, clinicians Congenital Heart Disease (CHD) Atlas The Congenital Heart Disease (CHD) Atlas represents The 100 classes in the CIFAR-100 are grouped into 20 superclasses. Pre-trained models and datasets built by Google and the community We evaluate our approach on eight widely-studied datasets. These datasets have varying numbers of documents and varying document lengths, covering three common text classification tasks: sentiment analysis, question classification, and topic classification. TREC: question-type classification: 6k: 0.5k: 1: 1: SICK-E: natural language inference: 4.5k: 4.9k: 1: 1: SNLI: natural language inference: 550k: 9.8k: 1: 1: and set_classifier means you can define the parameters of the classifier in the case of a classification task (see below). Description:; An audio dataset of spoken words designed to help train and evaluate keyword spotting systems. Yahoo Language Data: This dataset is composed of manually curated QA datasets from Yahoos Yahoo Answers. "We can quickly reduce the data space required See instructions below. Kitti contains a suite of vision tasks built using an autonomous driving platform. Description:. There are three main challenges in DuReader vis : (1) long document understanding, (2) noisy texts, and (3) multi-span answer extraction. The full benchmark contains many tasks such as stereo, optical flow, visual odometry, etc. Clips vary in length from 1 to 10 seconds and have a total length of approximately 24 hours. We show the statistics for each dataset in Table 1. Regular NLL classification loss validation for bi-encoder training can be replaced with average rank evaluation. There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). This dataset contains the object detection dataset, including the monocular images and bounding boxes. Background & Motivation. They are then incorporated into a sequence-to-sequence (S2S) architecture for question generation and its extension with dual decoders to additionally yield poll choices (answers). There are 500 training images and 100 testing images per class. A transcription is provided for each clip. Compare cruise prices to get the best cruise deal. In this approach, a dataset for sentiment classification, intent classification, and question classification is used.
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