Datasets

SQuAD-it is derived from the SQuAD dataset and it is obtained through semi-automatic translation of the SQuAD dataset into Italian. It represents a large-scale dataset for ope

Self-supervised learning (SSL) has proven vital for advancing research in natural language processing (NLP) and computer vision (CV). The paradigm pretrains a shared model on

TyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs. The languages of TyDi QA are diverse with regard to their

XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering performance. The dataset consists of a subset of 240 pa

This dataset contains 6,247 contexts and 18,817 questions with their answers, 1 to 5 for each fragment. The sources of the contexts are: * Encyclopedic articles from [Wikipe

Shellcode_IA32 is a dataset for shellcode generation from English intents. The shellcodes are compilable on Intel Architecture 32-bits.

Wikitext-fr language modeling dataset consists of over 70 million tokens extracted from the set of french Wikipedia articles that are classified as "quality articles" or "go

This is a new collection of translated movie subtitles from http://www.opensubtitles.org/. IMPORTANT: If you use the OpenSubtitle corpus: Please, add a link to http://www.open

We present the first multilingual FAQ dataset publicly available. We collected around 6M FAQ pairs from the web, in 21 different languages.

BSD is a dataset used frequently for image denoising and super-resolution. BSD100 is the testing set of the Berkeley segmentation dataset BSD300.

DIV2K dataset: DIVerse 2K resolution high quality images as used for the challenges @ NTIRE (CVPR 2017 and CVPR 2018) and @ PIRM (ECCV 2018)

The PIRM dataset consists of 200 images, which are divided into two equal sets for validation and testing. These images cover diverse contents, including people, objects, env

Set14 is an evaluation dataset with 14 RGB images for the image super resolution task.

Set5 is a evaluation dataset with 5 RGB images for the image super resolution task.

The Urban100 dataset contains 100 images of urban scenes. It commonly used as a test set to evaluate the performance of super-resolution models.

This new dataset is designed to solve this great NLP task and is crafted with a lot of care.

This new dataset is designed to solve this great NLP task and is crafted with a lot of care.

This new dataset is designed to solve this great NLP task and is crafted with a lot of care.

This new dataset is designed to solve this great NLP task and is crafted with a lot of care.

Large pre-trained language models have shown promise for few-shot learning, completing text-based tasks given only a few task-specific examples. Will models soon solve classif

CrowdSpeech is a publicly available large-scale dataset of crowdsourced audio transcriptions. It contains annotations for more than 50 hours of English speech transcriptions f

VoxDIY: Benchmark Dataset for Russian Crowdsourced Audio Transcription.

This benchmark environment contains a dataset comprised of generated texts from pre-trained language models. We also have two benchmark tasks - human vs. machine (i.e., binary