# SQuAD Dataset

An English question-answer pair generation model fine-tuned based on T5-base, used to generate question and answer pairs from text passages.

A question-answering model fine-tuned on the SQuAD 2.0 dataset based on the ALBERT base model

This model is a fine-tuned version of the ELECTRA-small discriminator based on the SQuAD dataset, suitable for question-answering tasks.

A question-answering model fine-tuned on the SQuAD 2.0 dataset based on the ALBERT base model

This model is a fine-tuned version of bert-base-uncased on the squad_v2 dataset, suitable for question-answering tasks.

A question answering model fine-tuned on the SQuAD dataset based on ALBERT-xxlarge-v2

A question-answering model fine-tuned on the SQuAD dataset based on RoBERTa-base

A Q&A model based on the MobileBERT architecture, fine-tuned for the SQuAD v2 dataset

This model is based on the RoBERTa architecture and fine-tuned on the SQuAD1.1 dataset, capable of extracting answers to questions from given contexts.

An English question generation model fine-tuned from t5-small, designed to generate relevant questions from given text and answers.

A T5-small based question generation model for generating relevant questions from given text

This is a question generation model fine-tuned on the T5-Base architecture, specifically designed to generate relevant questions from given answers and contexts.

This model is a fine-tuned English question generation model based on BART-large, specifically designed to generate relevant questions from given text and answers.

A question generation model fine-tuned based on T5-Large, specifically designed to generate questions from the SQuAD dataset.

A Q&A model fine-tuned on the SQuAD dataset based on the BERT architecture