Dataset · Hugging Face

derek-thomas/squad-v1.1-t5-question-generation

Name: squad-v1.1-t5-question-generation
Creator: derek-thomas
License: cc-by-4.0
Keywords: annotations_creators:crowdsourced, language_creators:crowdsourced, multilinguality:monolingual, source_datasets:extended|squad, language:en, license:cc-by-4.0, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:1606.05250, arxiv:2005.01107

Dataset Card for "squad-v1.1-t5-question-generation" Dataset Summary This is a modified Stanford Question Answering Dataset (SQuAD) to suit question generation with All Questions in One Line (AQOL) just like in Transformer-based End-to-End Question Generation specifically for the T5 family of models. The prefix is generate questions: so that the task can be unique to a trained model. Check out the generation notebook here. Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/derek-thomas/squad-v1.1-t5-question-generation.

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Author / organization	derek-thomas
License (as declared)	cc-by-4.0
Downloads	172 (as reported by Hugging Face)
Likes	8
Created	8 February 2023
Last updated at source	9 March 2023

questiongenerationquestion-generationtext2text-generation

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16 Oct 2026 Description: Dataset Card for "squad-v1.1-t5-question-generation" Dataset Summary This is a modified Stanford Question Answering Dataset (SQuAD) to suit question generation with All Questions in One Line (AQOL) just like in Transformer-based End-to-End → Dataset Card for "squad-v1.1-t5-question-generation" Dataset Summary This is a modified Stanford Question Answering Dataset (SQuAD) to suit question generation with All Questions in One Line (AQOL) just like in Transformer-based End-to-End

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