markstanl/hotpot_qa_modified
This dataset is a modified version of the HotPotQA distractor dataset, which contains factual questions requiring multi-hop reasoning. In the original HotPotQA dataset, each example presents ten paragraphs, only two of which contain the information necessary to answer the question; the remaining eight paragraphs include closely related but irrelevant details. Consequently, solving this task requires the model to identify and reason over the pertinent passages. To more strongly develop… See the full description on the dataset page: https://huggingface.co/datasets/markstanl/hotpot_qa_modified.
Upload dataset
add test question output (Mac.lan)
add train question output (Mac.lan)
add test candidates_generated output (gpu5000.chtc.wisc.edu)
add train candidates_generated output (gpu5000.chtc.wisc.edu)
add test candidates_filtered output (Marks-MacBook-Air-2.local)
add train candidates_filtered output (Marks-MacBook-Air-2.local)
add test candidates_filtered output (Marks-MacBook-Air-2.local)
add train candidates_filtered output (Marks-MacBook-Air-2.local)
Upload dataset
add test statement_critiqued output (gpu5001.chtc.wisc.edu)
add train statement_critiqued output (gpu5001.chtc.wisc.edu)
add test statement output (gpu5000.chtc.wisc.edu)
add train statement output (gpu5000.chtc.wisc.edu)
add test statement-gen output (gpu5000.chtc.wisc.edu)
add train statement-gen output (gpu5000.chtc.wisc.edu)
add test statement-gen output (gpu5000.chtc.wisc.edu)
add train statement-gen output (gpu5000.chtc.wisc.edu)
add test candidate-gen output (mrf-exp)
add train candidate-gen output (mrf-exp)
Duplicate from mehuldamani/hotpot_qa