---
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}, 
}
```