The Open Table-and-Text Question Answering (OTT-QA) dataset contains open questions which require retrieving tables and text from the web to answer. This dataset is re-annotated from the previous HybridQA dataset. The dataset is collected by UCSB NLP group and issued under MIT license.
Source: https://github.com/wenhuchen/OTT-QABenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
OTT-QA
|
Fusion Retriever+ETC
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
