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---
license: mit
dataset_info:
features:
- name: question
dtype: string
- name: table
dtype: string
- name: answer
dtype: string
splits:
- name: train
num_bytes: 7644946504
num_examples: 847093
- name: validation
num_bytes: 8053382
num_examples: 848
- name: test
num_bytes: 875174
num_examples: 139
download_size: 0
dataset_size: 7653875060
---
# Dataset Card for "hindiTabQA"
# Usage
```python
import pandas as pd
from datasets import load_dataset
hinditableQA = load_dataset("vaishali/hindiTabQA")
for sample in hinditableQA['train']:
question = sample['question']
input_table = pd.read_json(sample['table'], orient='split')
answer = pd.read_json(sample['answer'], orient='split')
```
# BibTeX entry and citation info
```
@misc{pal2024tablequestionansweringlowresourced,
title={Table Question Answering for Low-resourced Indic Languages},
author={Vaishali Pal and Evangelos Kanoulas and Andrew Yates and Maarten de Rijke},
year={2024},
eprint={2410.03576},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2410.03576},
}
``` |