metadata
dataset_info:
config_name: arithmetic_1dc
features:
- name: context
dtype: string
- name: completion
dtype: string
splits:
- name: validation
num_bytes: 97651
num_examples: 2000
download_size: 21322
dataset_size: 97651
configs:
- config_name: arithmetic_1dc
data_files:
- split: validation
path: arithmetic_1dc/validation-*
Dataset Summary
A small battery of 10 tests that involve asking language models a simple arithmetic problem in natural language.
Languages
English
Source Data
Obtained from https://github.com/openai/gpt-3/tree/master/data
Citation
@article{brown2020language,
title={Language Models are Few-Shot Learners},
author={Tom B. Brown and Benjamin Mann and Nick Ryder and Melanie Subbiah and Jared Kaplan and Prafulla Dhariwal and Arvind Neelakantan and Pranav Shyam and Girish Sastry and Amanda Askell and Sandhini Agarwal and Ariel Herbert-Voss and Gretchen Krueger and Tom Henighan and Rewon Child and Aditya Ramesh and Daniel M. Ziegler and Jeffrey Wu and Clemens Winter and Christopher Hesse and Mark Chen and Eric Sigler and Mateusz Litwin and Scott Gray and Benjamin Chess and Jack Clark and Christopher Berner and Sam McCandlish and Alec Radford and Ilya Sutskever and Dario Amodei},
year={2020},
eprint={2005.14165},
archivePrefix={arXiv},
primaryClass={cs.CL}
}