metadata
configs:
- config_name: passage
data_files:
- split: train
path: Passage/*.csv
- config_name: mcq_4way
data_files:
- split: train
path: mcq(4-way)/*.csv
- config_name: constructed_response
data_files:
- split: train
path: Constructed-response/*.csv
- config_name: general
data_files:
- split: train
path: '*.csv'
task_categories:
- question-answering
- image-to-text
Trial1 Dataset
This dataset contains four configurations for different types of educational data, including images.
Configurations
- Passage: Data related to long-form reading passages and figures.
- MCQ (4-way): Multiple choice questions with 4 options.
- Constructed Response: Open-ended questions requiring written answers.
- General: Root level data files.
How to use
from datasets import load_dataset
# Load a specific config
dataset = load_dataset("Krishna5T/trial1", "mcq_4way")