Create README.md

README.md

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+---
+license: apache-2.0
+---
+
+# Model description
+
+This is an [t5-base](https://huggingface.co/t5-base) model, finetuned to generate questions given a table using [WikiSQL](https://huggingface.co/datasets/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](https://aclanthology.org/2021.emnlp-main.342/) 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](https://github.com/primeqa/primeqa) framework as in this example [notebook](https://github.com/primeqa/primeqa/blob/tableqg/notebooks/qg/tableqg_inference.ipynb).
+
+## Citation
+```bibtex
+@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}
+}
+```
+