deep
Datasets
All datasets matching “deep”course-imagescode_contests
Dataset Card for CodeContests
Dataset Summary
CodeContests is a competitive programming dataset for machine-learning. This
dataset was used when training AlphaCode.
It consists of programming problems, from a variety of sources:
Site
URL
Source
Aizu
https://judge.u-aizu.ac.jp
CodeNet
AtCoder
https://atcoder.jp
CodeNet
CodeChef
https://www.codechef.com
description2code
Codeforces
https://codeforces.com
description2code and Codeforces
HackerEarth… See the full description on the dataset page: https://huggingface.co/datasets/deepmind/code_contests.character_index
Anime Character Index
This dataset if for collecting all the hot characters from the internet, and extract their features and core tags. It will be useful for automatically testing the character generating ability of the anime-style base models.
7371 characters in total.
Copyrights
Copyright
Count
kantai_collection
393
pokemon
380
fate_(series)
350
hololive
277
blue_archive234
arknights
200
idolmaster
192
touhou
186
fire_emblem
168
umamusume… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/character_index.images
deepinv/images
Sample images used by DeepInverse examples.
Files in this repo may come from different sources under different licenses. See the README.md in each subfolder for source and license.
aqua_rat
Dataset Card for AQUA-RAT
Dataset Summary
A large-scale dataset consisting of approximately 100,000 algebraic word problems.
The solution to each question is explained step-by-step using natural language.
This data is used to train a program generation model that learns to generate the explanation,
while generating the program that solves the question.
Supported Tasks and Leaderboards
Languages
en
Dataset Structure
Data Instances… See the full description on the dataset page: https://huggingface.co/datasets/deepmind/aqua_rat.DeepScaleR-Preview-Dataset
Data
Our training dataset consists of approximately 40,000 unique mathematics problem-answer pairs compiled from:
AIME (American Invitational Mathematics Examination) problems (1984-2023)
AMC (American Mathematics Competition) problems (prior to 2023)
Omni-MATH dataset
Still dataset
Format
Each row in the JSON dataset contains:
problem: The mathematical question text, formatted with LaTeX notation.
solution: Offical solution to the problem, including LaTeX formatting… See the full description on the dataset page: https://huggingface.co/datasets/agentica-org/DeepScaleR-Preview-Dataset.