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.
| Author / organization | google-research-datasets |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 216 (as reported by Hugging Face) |
| Likes | 12 |
| Created | 2 March 2022 |
| Last updated at source | 8 August 2024 |
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- 16 Oct 2026 Description: 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 → 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
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