ai2_arc
Verified7,787 grade-school science questions for advanced QA research.
What is ai2_arc?
AI2 ARC consists of 7,787 genuine grade-school multiple-choice science questions assembled for question-answering research. The dataset splits questions into Easy and Challenge sets and supplies a supporting corpus of more than 14 million science sentences.
It is useful for training and evaluating models on science reasoning tasks that require more than retrieval or simple co-occurrence methods.
What you can build with ai2_arc
Train science QA models
Develop and fine-tune multiple-choice question answering systems focused on elementary science topics using the Easy and Challenge splits.
Benchmark language model reasoning
Evaluate how well LLMs handle questions that defeat simple retrieval and word-overlap baselines by testing on the Challenge Set.
Build retrieval-augmented systems
Combine the 14 million science sentence corpus with the questions to prototype retrieval-based or knowledge-enhanced QA pipelines.
Load ai2_arc
from datasets import load_dataset
ds = load_dataset("allenai/ai2_arc")- 1pip install datasets
- 2from datasets import load_dataset
- 3dataset = load_dataset('ai2_arc', 'challenge')
- 4Access train/validation/test splits and the 'support' corpus field
- 5Use the 'choices' and 'answerKey' fields for model training or evaluation
ai2_arc: pros & cons
Pros
- +Includes a dedicated Challenge Set that filters out easy retrieval-based questions
- +Paired with a large 14M-sentence science corpus for additional context
- +Standardized splits and multiple-choice format simplify benchmarking
- +Covers a broad range of grade-school science concepts
Cons
- –Limited to multiple-choice format only
- –Questions are restricted to elementary level
- –Corpus sentences are provided without explicit alignment to individual questions
Frequently asked questions
A collection of 7,787 grade-school science multiple-choice questions split into Easy and Challenge sets, accompanied by over 14 million science sentences.
User reviews
Verified reviews from the community shape this listing's rating.
Loading reviews…
Similar datasets
Other text & nlp options worth comparing.