This is an
t5-base
model, finetuned to generate questions given a table using
WikiSQL
dataset. It was trained to take the SQL, answer and column header of a table as input to generate questions. For more information check our T3QA
paper
from EMNLP 2021.
Overview
Language model
: t5-base
Language
: English
Task
: Table Question Generation
Data
: WikiSQL
Intented use and limitations
One can use this model to generate questions given a table. Biases associated with pre-training of T5 and WikiSQL dataset may be present.
Usage
One can use this model directly in the
PrimeQA
framework as in this example
notebook
.
Citation
@inproceedings{chemmengath2021topic,
title={Topic Transferable Table Question Answering},
author={Chemmengath, Saneem and Kumar, Vishwajeet and
Bharadwaj, Samarth and Sen, Jaydeep and
Canim, Mustafa and Chakrabarti, Soumen and
Gliozzo, Alfio and Sankaranarayanan, Karthik},
booktitle={Proceedings of the 2021 Conference on
Empirical Methods in Natural Language Processing},
pages={4159--4172},
year={2021}
}
Runs of PrimeQA t5-base-table-question-generator on huggingface.co
10
Total runs
0
24-hour runs
0
3-day runs
-2
7-day runs
2
30-day runs
More Information About t5-base-table-question-generator huggingface.co Model
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