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Yahoo Answers topics
The dataset used in this paper for few-shot text classification task. -
Visual Question Answering (VQA)
The VQA dataset consists of 248,349 training questions, 121,512 validation questions and 244,302 testing questions, generated on a total of 123,287 images. -
VQAv2 dataset
The VQAv2 dataset, containing open-ended questions on 265k images, with 5.4 questions per image on average. -
Natural Questions: A Benchmark for Question Answering Research
A benchmark for question answering research is introduced, which includes a large dataset of natural questions. -
Causal-VidQA
This dataset is used in the paper to evaluate the performance of the TranSTR architecture. -
ActivityNet-QA
Video question answering (VideoQA) is an essential task in vision-language understanding, which has attracted numerous research attention recently. Nevertheless, existing works... -
Simple Question dataset
The dataset used in this paper is a set of categorical probability distributions for a finite set of categories A = {a1,..., ak}. The dataset is used to evaluate the proposed... -
ProKnow-data
The ProKnow-data dataset is a collection of diagnostic conversations guided by safety constraints and ProKnow that healthcare professionals use. -
NarrativeQA
The NarrativeQA dataset is a reading comprehension challenge that focuses on questions with a single entity and relation. -
Legal Document Chatbot
A legal document chatbot developed using Langchain and Flask, capable of answering questions within the context of Indian constitution. -
Stack Overflow dataset
The Stack Overflow dataset contains data from a question-answering forum on the topic of computer programming. -
Hellaswag: Can a machine really finish your sentence?
Hellaswag: Can a machine really finish your sentence? -
LLM dataset
The dataset used in this paper is not explicitly described, but it is mentioned that it is a large language model (LLM) and that the authors used it to train and evaluate their... -
CLEVR-Humans
The CLEVR-Humans dataset consists of 32,164 questions asked by humans, containing words and reasoning steps that were unseen in CLEVR. -
MMLU dataset
The dataset used in the paper is the Multitask Language Understanding (MMLU) dataset, which consists of 57 tasks from Science, Technology, Engineering, and Math (STEM),...