codec
Datasets
All datasets matching “codec”code_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.Code-Contests-Plus
CodeContests+: A Competitive Programming Dataset with High-Quality Test Cases
Introduction
CodeContests+ is a competitive programming problem dataset built upon CodeContests. It includes 11,690 competitive programming problems, along with corresponding high-quality test cases, test case generators, test case validators, output checkers, and more than 13 million correct and incorrect solutions.
Highlights
High… See the full description on the dataset page: https://huggingface.co/datasets/ByteDance-Seed/Code-Contests-Plus.code_clippy_githubThe Code Clippy dataset consists of various public codebases from GitHub in 22 programming languages with 23 extensions totalling about 16 TB of data when uncompressed. The dataset was created from the public GitHub dataset on Google BiqQuery.CodeContests-O
CodeContests-O: Powering LLMs via Feedback-Driven Iterative Test Case Generation
Overview
CodeContests-O is a high-quality competitive programming dataset with iteratively refined test cases, designed to provide reliable verification signals for training and evaluating reasoning-centric Large Language Models (LLMs). Built upon the CodeContests dataset, CodeContests-O employs a novel Feedback-Driven Iterative Framework to systematically synthesize, validate, and… See the full description on the dataset page: https://huggingface.co/datasets/caijanfeng/CodeContests-O.fluent_speech_commands_synth
Dataset Card for "fluent_speech_commands_synth"
More Information needed
CodecFake
CodecFake: Enhancing Anti-Spoofing Models Against Deepfake Audios from Codec-Based Speech Synthesis Systems
Paper,
Code,
Project Page
Interspeech 2024
TL;DR: We show that better detection of deepfake speech from codec-based TTS systems can be achieved by training models on speech re-synthesized with neural audio codecs.
This dataset is released for this purpose.
See our paper and Github for more details on using our dataset.
Acknowledgement… See the full description on the dataset page: https://huggingface.co/datasets/rogertseng/CodecFake.