google-research-datasets/disfl_qa
Dataset Card for DISFL-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering Dataset Summary Disfl-QA is a targeted dataset for contextual disfluencies in an information seeking setting, namely question answering over Wikipedia passages. Disfl-QA builds upon the SQuAD-v2 (Rajpurkar et al., 2018) dataset, where each question in the dev set is annotated to add a contextual disfluency using the paragraph as a source of distractors. The final… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/disfl_qa.
Convert dataset to Parquet (#3)
Delete legacy JSON metadata (#2)
Reorder split names (#1)
add dataset_info in dataset metadata
remove dummmy data
Align more metadata with other repo types (models,spaces) (#4607)
Remove config names as yaml keys (#4367)
Update files from the datasets library (from 1.11.0)
