AI2 ARC - Advanced Science Question by Kaggle | Academic Research

About this Dataset

AI2 ARC - Advanced Science Question

Promoting research in advanced question-answering

By ai2_arc (From Huggingface) [source]

About this dataset

The ai2_arc dataset, also known as the A Challenge Dataset for Advanced Question-Answering in Grade-School Level Science, is a comprehensive and valuable resource created to facilitate research in advanced question-answering. This dataset consists of a collection of 7,787 genuine grade-school level science questions presented in multiple-choice format.

The primary objective behind assembling this dataset was to provide researchers with a powerful tool to explore and develop question-answering models capable of tackling complex scientific inquiries typically encountered at a grade-school level. The questions within this dataset are carefully crafted to test the knowledge and understanding of various scientific concepts in an engaging manner.

The ai2_arc dataset is further divided into two primary sets: the Challenge Set and the Easy Set. Each set contains numerous highly curated science questions that cover a wide range of topics commonly taught at a grade-school level. These questions are designed specifically for advanced question-answering research purposes, offering an opportunity for model evaluation, comparison, and improvement.

In terms of data structure, the ai2_arc dataset features several columns providing vital information about each question. These include columns such as question, which contains the text of the actual question being asked; choices, which presents the multiple-choice options available for each question; and answerKey, which indicates the correct answer corresponding to each specific question.

Researchers can utilize this comprehensive dataset not only for developing advanced algorithms but also for training machine learning models that exhibit sophisticated cognitive capabilities when it comes to comprehending scientific queries from a grade-school perspective. Moreover, by leveraging these meticulously curated questions, researchers can analyze performance metrics such as accuracy or examine biases within their models' decision-making processes.

In conclusion, the ai2_arc dataset serves as an invaluable resource for anyone involved in advanced question-answering research within grade-school level science education. With its extensive collection of genuine multiple-choice science questions spanning various difficulty levels, researchers can delve into the intricate nuances of scientific knowledge acquisition, processing, and reasoning, ultimately unlocking novel insights and innovations in the field

Research Ideas

Developing advanced question-answering models: The ai2_arc dataset provides a valuable resource for training and evaluating advanced question-answering models. Researchers can use this dataset to develop and test algorithms that can accurately answer grade-school level science questions.

Evaluating natural language processing (NLP) models: NLP models that aim to understand and generate human-like responses can be evaluated using this dataset. The multiple-choice format of the questions allows for objective evaluation of the model's ability to comprehend and provide correct answers.

Assessing human-level performance: The dataset can be used as a benchmark to measure the performance of human participants in answering grade-school level science questions. By comparing the accuracy of humans with that of AI systems, researchers can gain insights into the strengths and weaknesses of both approaches

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: ARC-Challenge_test.csv

Column name	Description
question	The text content of each question being asked. (Text)
choices	A list of multiple-choice options associated with each question. (List of Text)
answerKey	The correct answer option (choice) for a particular question. (Text)

File: ARC-Easy_test.csv

Column name	Description
question	The text content of each question being asked. (Text)
choices	A list of multiple-choice options associated with each question. (List of Text)
answerKey	The correct answer option (choice) for a particular question. (Text)

File: ARC-Challenge_train.csv

Column name	Description
question	The text content of each question being asked. (Text)
choices	A list of multiple-choice options associated with each question. (List of Text)
answerKey	The correct answer option (choice) for a particular question. (Text)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit ai2_arc (From Huggingface).

Tables

Arc Challenge Test

@kaggle.thedevastator_advanced_science_question_dataset.arc_challenge_test

204.68 KB
1172 rows
4 columns


CREATE TABLE arc_challenge_test (
  "id" VARCHAR,
  "question" VARCHAR,
  "choices" VARCHAR,
  "answerkey" VARCHAR
);

Arc Challenge Train

@kaggle.thedevastator_advanced_science_question_dataset.arc_challenge_train

189.76 KB
1119 rows
4 columns


CREATE TABLE arc_challenge_train (
  "id" VARCHAR,
  "question" VARCHAR,
  "choices" VARCHAR,
  "answerkey" VARCHAR
);

Arc Challenge Validation

@kaggle.thedevastator_advanced_science_question_dataset.arc_challenge_validation

57.01 KB
299 rows
4 columns


CREATE TABLE arc_challenge_validation (
  "id" VARCHAR,
  "question" VARCHAR,
  "choices" VARCHAR,
  "answerkey" VARCHAR
);

Arc Easy Test

@kaggle.thedevastator_advanced_science_question_dataset.arc_easy_test

350.8 KB
2376 rows
4 columns


CREATE TABLE arc_easy_test (
  "id" VARCHAR,
  "question" VARCHAR,
  "choices" VARCHAR,
  "answerkey" VARCHAR
);

Arc Easy Train

@kaggle.thedevastator_advanced_science_question_dataset.arc_easy_train

331.31 KB
2251 rows
4 columns


CREATE TABLE arc_easy_train (
  "id" VARCHAR,
  "question" VARCHAR,
  "choices" VARCHAR,
  "answerkey" VARCHAR
);

Arc Easy Validation

@kaggle.thedevastator_advanced_science_question_dataset.arc_easy_validation

88.58 KB
570 rows
4 columns


CREATE TABLE arc_easy_validation (
  "id" VARCHAR,
  "question" VARCHAR,
  "choices" VARCHAR,
  "answerkey" VARCHAR
);