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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01deepmind /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.tabulartranslation1K<n<10K236 likes79k downloads3y agoHugging Face02ByteDance-Seed /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.tabularother10K<n<100K69 likes13k downloads11mo agoHugging Face03caijanfeng /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.text10K<n<100K5 likes1.9k downloads8mo agoHugging Face04BEE-spoke-data /code_contests_instruct Dataset Card for "code_contests_instruct" The deepmind/code_contests dataset formatted as markdown-instruct for text generation training. There are several different configs. Look at them. Comments: flesch_reading_ease is computed on the description col via textstat hq means that python2 (aka PYTHON in language column) is dropped, and keeps only rows with flesch_reading_ease 75 or greater min-cols drops all cols except language and text possible values for language are {'CPP'… See the full description on the dataset page: https://huggingface.co/datasets/BEE-spoke-data/code_contests_instruct.tabulartext-generation10M<n<100M7 likes1.4k downloads9mo agoHugging Face05Codec-SUPERB /fluent_speech_commands_synth Dataset Card for "fluent_speech_commands_synth" More Information needed audio100K<n<1M1 likes1.3k downloads3y agoHugging Face06rogertseng /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.audio100K<n<1M5 likes1.1k downloads2y agoHugging Face07teven /code_contestsHF-datasets version of Deepmind's code_contests dataset, notably used for AlphaGo. 1 row per solution, no test data or incorrect solutions included (only name/source/description/solution/language/difficulty) tabular1M<n<10M4 likes950 downloads4y agoHugging Face08Codec-SUPERB /librispeech_synth Dataset Card for "librispeech_synth" More Information needed audio1M<n<10M1 likes929 downloads3y agoHugging Face09ajaykarthick /codecfake-audio Codecfake Dataset Overview The Codecfake dataset is a large-scale dataset designed for the detection of Audio Language Model (ALM)-based deepfake audio. This dataset includes millions of audio samples across two languages and various test conditions, tailored specifically for ALM-based audio detection. Conversion The original dataset was downloaded from Zenodo and converted to FLAC format to maintain audio quality while reducing file size. The dataset has been… See the full description on the dataset page: https://huggingface.co/datasets/ajaykarthick/codecfake-audio.audioaudio-classification100K<n<1M1 likes884 downloads2y agoHugging Face10Codec-SUPERB /voxceleb1_synthaudio10K<n<100K3 likes604 downloads3y agoHugging Face11Codec-SUPERB /vocal_imitation_synth Dataset Card for "vocal_imitation_synth" More Information needed audio10K<n<100K1 likes592 downloads3y agoHugging Face12Codec-SUPERB /crema_d_synth Dataset Card for "crema_d_synth" More Information needed audio100K<n<1M0 likes558 downloads3y agoHugging Face13Codec-SUPERB /maestro_synth Dataset Card for "maestro_synth" More Information needed audio1K<n<10K0 likes553 downloads3y agoHugging Face14CodecSR /librispeech_asr_test_48k_synthaudio100K<n<1M0 likes533 downloads3y agoHugging Face15CodecSR /torgo_synthaudio100K<n<1M0 likes532 downloads2y agoHugging Face16CodecSR /vox_lingua_top10_synthaudio10K<n<100K0 likes530 downloads3y agoHugging Face17CodecSR /vocalset_synthaudio10K<n<100K0 likes525 downloads3y agoHugging Face18CodecSR /speech_accent_archive_synthaudio10K<n<100K0 likes518 downloads2y agoHugging Face19Codec-SUPERB /vocalset_synth Dataset Card for "vocalset_synth" More Information needed audio10K<n<100K0 likes493 downloads3y agoHugging Face20Codec-SUPERB /audioset_unittext100K<n<1M0 likes486 downloads3y agoHugging Face21CodecSR /librispeech_asr_test_synthaudio100K<n<1M0 likes486 downloads3y agoHugging Face22Suzhen /CodeChat-V2.0 CodeChat: Developer–LLM Conversations Dataset Paper: https://arxiv.org/abs/2509.10402 GitHub: https://github.com/Software-Evolution-Analytics-Lab-SEAL/CodeChat CodeChat_2 is a large-scale dataset comprising 587,568 real-world developer–LLM conversations, derived from the WildChat dataset. Dataset Overview Field 👉V1.0 V2.0 Records 82,845 conversations 587,568 conversations Code 368,506 code snippets 2,252,399 code snippets Languages 20+… See the full description on the dataset page: https://huggingface.co/datasets/Suzhen/CodeChat-V2.0.texttext-generation100K<n<1M1 likes486 downloads2mo agoHugging Face23CodecSR /fluent_speech_commands_femaleaudio10K<n<100K1 likes458 downloads2y agoHugging Face24Codec-SUPERB /opensinger_synthaudio10K<n<100K0 likes447 downloads3y agoHugging Face25Codec-SUPERB /fsd50k_unittext100K<n<1M0 likes432 downloads3y agoHugging Face26CodecSR /voxceleb1_synthaudio100K<n<1M0 likes401 downloads3y agoHugging Face27Imandra /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/Imandra/code_contests.tabulartranslation10K<n<100K0 likes397 downloads1y agoHugging Face28HexQuant /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 Quality Test… See the full description on the dataset page: https://huggingface.co/datasets/HexQuant/Code-Contests-Plus.tabularother10K<n<100K1 likes391 downloads9mo agoHugging Face29MERA-evaluation /CodeCorrectness CodeCorrectness Task description Evaluation of the correctness of the written code for Python, Java and Go. Correctness means the absent of any errors including SyntaxError, Runtime Error etc. and the successful tests passing as well. The dataset contains 1361 tasks. Evaluated skills: Instruction Following, Code Perception, Simulation, Error Classification Contributors: Elena Bruches, Ivan Bondarenko, Daniil Grebenkin, Oleg Sedukhin, Roman Derunets, Georgii Mkrtchyan… See the full description on the dataset page: https://huggingface.co/datasets/MERA-evaluation/CodeCorrectness.text1K<n<10K4 likes382 downloads1y agoHugging Face30CodecSR /easycall_synthaudio100K<n<1M0 likes376 downloads2y agoHugging Face

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