A Persian sentiment analysis task (deciding whether a given sentence contains a particular sentiment).
ThaiNER (v1.3) is a 6,456-sentence named entity recognition dataset created from expanding the 2,258-sentence [unnamed dataset](http://pioneer.chula.ac.th/~awirote/Data-Nutcha
A Persian query paraphrasing task (paraphrase or not, given two questions). The questions are partly mined using Google auto-complete, and partly translated from Quora paraph
A Persian reading comprehenion task (generating an answer, given a question and a context paragraph). The questions are mined using Google auto-complete, their answers and th
We provide a novel dataset (referred to as CaSiNo) of 1030 negotiation dialogues. Two participants take the role of campsite neighbors and negotiate for Food, Water, and Firew
Beans is a dataset of images of beans taken in the field using smartphone cameras. It consists of 3 classes: 2 disease classes and the healthy class. Diseases depicted include
A Persian translation dataset (Persian -> English).
A Persian textual entailment task (deciding `sent1` entails `sent2`).
A collection of 97 hours of parliamentary speeches published on the ClarinPL website Note that in order to limit the required storage for preparing this dataset, the audio is
Automatic machine learning systems can inadvertently accentuate and perpetuate inappropriate human biases. Past work on examining inappropriate biases has largely focused on j
SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification. This is a dataset for multilabel emotion classification for tweets. 'Given a tweet, classify it as