---
license: mit
task_categories:
- visual-question-answering
language:
- en
configs:
- config_name: 1fig1table_4options
  data_files: [{split: train, path: 1fig1table_4options/train-00000-of-00001.parquet}]
- config_name: 1fig_2tables_4options
  data_files: [{split: train, path: 1fig_2tables_4options/train-00000-of-00001.parquet}]
- config_name: 1fig_3tables_4options
  data_files: [{split: train, path: 1fig_3tables_4options/train-00000-of-00001.parquet}]
- config_name: 1figure_4options
  data_files: [{split: train, path: 1figure_4options/train-00000-of-00001.parquet}]
- config_name: 1table2fig_4options
  data_files: [{split: train, path: 1table2fig_4options/train-00000-of-00001.parquet}]
- config_name: 1table_4options
  data_files: [{split: train, path: 1table_4options/train-00000-of-00001.parquet}]
- config_name: 2fig_4options
  data_files: [{split: train, path: 2fig_4options/train-00000-of-00001.parquet}]
- config_name: 2tables_4options
  data_files: [{split: train, path: 2tables_4options/train-00000-of-00001.parquet}]
- config_name: 3fig_4options
  data_files: [{split: train, path: 3fig_4options/train-00000-of-00001.parquet}]
- config_name: constructed_multiple_questions_with_image_and_table
  data_files: [{split: train, path: constructed_multiple_questions_with_image_and_table/train-00000-of-00001.parquet}]
- config_name: constructed_question_yes_no_with_table_and_image
  data_files: [{split: train, path: constructed_question_yes_no_with_table_and_image/train-00000-of-00001.parquet}]
- config_name: constructed_response
  data_files: [{split: train, path: constructed_response/train-00000-of-00001.parquet}]
- config_name: constructed_response_2questions
  data_files: [{split: train, path: constructed_response_2questions/train-00000-of-00001.parquet}]
- config_name: constructed_response_4questions
  data_files: [{split: train, path: constructed_response_4questions/train-00000-of-00001.parquet}]
- config_name: constructed_response_image
  data_files: [{split: train, path: constructed_response_image/train-00000-of-00001.parquet}]
- config_name: constructed_response_image_table
  data_files: [{split: train, path: constructed_response_image_table/train-00000-of-00001.parquet}]
- config_name: constructed_response_table
  data_files: [{split: train, path: constructed_response_table/train-00000-of-00001.parquet}]
- config_name: constructed_response_two_images
  data_files: [{split: train, path: constructed_response_two_images/train-00000-of-00001.parquet}]
- config_name: mcq_4options
  data_files: [{split: train, path: mcq_4options/train-00000-of-00001.parquet}]
- config_name: mcq_5options
  data_files: [{split: train, path: mcq_5options/train-00000-of-00001.parquet}]
- config_name: mcq_image_4options
  data_files: [{split: train, path: mcq_image_4options/train-00000-of-00001.parquet}]
- config_name: mcq_image_5options
  data_files: [{split: train, path: mcq_image_5options/train-00000-of-00001.parquet}]
- config_name: mcq_table_1_5options
  data_files: [{split: train, path: mcq_table_1_5options/train-00000-of-00001.parquet}]
- config_name: mcq_table_2_4options
  data_files: [{split: train, path: mcq_table_2_4options/train-00000-of-00001.parquet}]
- config_name: paragraph_4options
  data_files: [{split: train, path: paragraph_4options/train-00000-of-00001.parquet}]
- config_name: single_constructed_response_with_image_and_table
  data_files: [{split: train, path: single_constructed_response_with_image_and_table/train-00000-of-00001.parquet}]
---

# Trial Dataset (VQA)

This dataset contains various configurations for Visual Question Answering (VQA) tasks involving tables, figures, and multiple-choice options.

## Dataset Structure
The dataset is split into multiple configurations based on the complexity of the input (number of tables/figures) and the response type (MCQ or Constructed Response).

## How to Load
You can load any specific configuration using the `datasets` library:

```python
from datasets import load_dataset

# Example: Load the 4-option MCQ configuration
dataset = load_dataset("Krishna5T/trial_dataset", "mcq_4options")

print(dataset["train"][0])