Dataset Groups Activity Stream SQuAD: 100,000+ Questions for Machine Comprehension of Text The SQuAD dataset is a benchmark for natural language understanding tasks, including question answering and text classification. BibTex: @dataset{Keshav_Santhanam_and_Thejas_Venkatesh_and_Deepti_Raghavan_and_Neha_Kunjal_and_Muhammad_Shahir_Rahman_and_Pratiksha_Thaker_and_Philip_Levis_and_Matei_Zaharia_2024, abstract = {The SQuAD dataset is a benchmark for natural language understanding tasks, including question answering and text classification.}, author = {Keshav Santhanam and Thejas Venkatesh and Deepti Raghavan and Neha Kunjal and Muhammad Shahir Rahman and Pratiksha Thaker and Philip Levis and Matei Zaharia}, doi = {10.57702/1gujqdk9}, institution = {No Organization}, keyword = {'Natural Language Processing', 'Question Answering', 'Text Generation', 'natural language understanding', 'question answering'}, month = {dec}, publisher = {TIB}, title = {SQuAD: 100,000+ Questions for Machine Comprehension of Text}, url = {https://service.tib.eu/ldmservice/dataset/squad--100-000--questions-for-machine-comprehension-of-text}, year = {2024} }
