datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ProgramBench-Tests
ProgramBench Generated Tests
This dataset contains the AI-generated behavioral test suites used to evaluate model solutions in ProgramBench.
ProgramBench is a benchmark that evaluates whether language models can rebuild programs from scratch. Given only a compiled binary and its documentation, AI agents must architect and implement a complete codebase that reproduces the original program's behavior. These test suites are used to assess whether a candidate solution is behaviorally… See the full description on the dataset page: https://huggingface.co/datasets/programbench/ProgramBench-Tests.avspeech-visual-audio
AVSpeech Video + Audio
This repository is a media-bearing reconstruction of the public AVSpeech
annotations. Each row represents an already-trimmed segment and keeps the
original source-video timing and target-face-center metadata.
Dataset structure
clip_id: identifier derived as
{youtube_id}_{start_sec:.3f}_{end_sec:.3f}.
avspeech_metadata: JSON containing youtube_id, start_sec, end_sec,
x_center, and y_center from the AVSpeech annotation.
video: video-only… See the full description on the dataset page: https://huggingface.co/datasets/ProgramComputer/avspeech-visual-audio.voxcelebThis dataset includes both VoxCeleb and VoxCeleb2
The copyright remains with the original owners of the audiovisual
Multipart Zips
Already joined zips for convenience but these specified files are NOT part of the original datasets
vox2_mp4_1.zip - vox2_mp4_6.zip
vox2_aac_1.zip - vox2_aac_2.zip
Joining Zip
cat vox1_dev* > vox1_dev_wav.zip
cat vox2_dev_aac* > vox2_aac.zip
cat vox2_dev_mp4* > vox2_mp4.zip
Citation Information
@article{Nagrani19,
author =… See the full description on the dataset page: https://huggingface.co/datasets/ProgramComputer/voxceleb.Nemotron-Competitive-Programming-v1
Dataset Description:
Nemotron-Competitive-Programming-v1 is a large-scale synthetic coding and reasoning dataset designed to push LLM performance on challenging programming and systems tasks. It combines Python and C++ samples across unique competitive programming questions.
Beyond problem solving, the dataset includes InfiniByte, a cross-domain subset with problems derived from scientific fields.
This dataset is ready for commercial use.
Competitive Coding
The… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Competitive-Programming-v1.Nemotron-SFT-Competitive-Programming-v2
Dataset Description:
Nemotron-Competitive-Programming-v2 is a large-scale synthetic coding and reasoning dataset designed to push LLM performance on challenging programming and systems tasks. It combines Python and C++ samples across unique competitive programming questions.In addition, the dataset includes samples targetting a subset of programming language exercises from Exercism.
Beyond problem solving, the dataset includes Text-to-SQL, which aims at training LLMs to reason and… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-SFT-Competitive-Programming-v2.VGGFace2
Bounded streaming
datasets==5.0.0 does not execute this repository's remote Python loader
through load_dataset(). Clone code and metadata without downloading Git LFS
objects, then use the project-side module directly:
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/ProgramComputer/VGGFace2
Archive bytes are read sequentially and are not extracted or cached.
from VGGFace2 import load_streaming
dataset = load_streaming(
split="train"… See the full description on the dataset page: https://huggingface.co/datasets/ProgramComputer/VGGFace2.cqadupstack-programmers
CQADupstackProgrammersRetrieval
An MTEB dataset
Massive Text Embedding Benchmark
CQADupStack: A Benchmark Data Set for Community Question-Answering Research
Task category
t2t
Domains
Programming, Written, Non-fiction
Referencehttp://nlp.cis.unimelb.edu.au/resources/cqadupstack/
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/cqadupstack-programmers.VGGFace2-HQhttps://github.com/NNNNAI/VGGFace2-HQ
Bounded streaming
datasets==5.0.0 does not execute loading scripts from the Hub. Clone code and
metadata without downloading Git LFS objects, then import the loader directly:
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/ProgramComputer/VGGFace2-HQ
Pin both data revisions when constructing the stream:
from VGGFace2_HQ import load_streaming
dataset = load_streaming(
"train"… See the full description on the dataset page: https://huggingface.co/datasets/ProgramComputer/VGGFace2-HQ.latent-programming-horizons-trajs
latent-programming-horizons-trajs
Agent trajectories and per-edit correctness labels from the
program-probes project, which
measures whether a language model's internal hidden states linearly predict
properties of its own agentic output (e.g. "does the code currently compile?")
before those properties are realised.
Each trajectory is a run of a coding agent (mini-SWE-agent) attempting a
SWE-bench (Verified or Pro) instance. This dataset contains the raw
transcripts and labels… See the full description on the dataset page: https://huggingface.co/datasets/ASSERT-KTH/latent-programming-horizons-trajs.program_generation_v3github-file-programs-dataset-javaCompetitive-Programming-python-blend
Dataset Card for Competitive-Programming-python-blend
Summary
Competitive-Programming-python-blend is a mixed supervised fine-tuning dataset centered on competitive programming, code reasoning, and instruction-style problem solving. The blend is Python-first, but it also keeps a small amount of C++, agentless SWE, and reasoning-oriented chat supervision to broaden training coverage.
The current release is published as a single HF-friendly JSONL file, clean.jsonl.… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/Competitive-Programming-python-blend.github-file-programs-dataset-go20260731_mini-v2.4.2_opus-5-xhighprogram_generation_v520260802_mini-v2.4.2_gpt-5-6-sol-xhigh20260507_mini-v2.2.6_opus-4-7-xhighSciCode-Programming-Problems
DATA3: Programming Problems Generation Dataset
Dataset Overview
DATA3 is a large-scale programming problems generation dataset that contains AI-generated programming problems inspired by real scientific computing code snippets. The dataset consists of 22,532 programming problems, each paired with a comprehensive solution. These problems focus on scientific computing concepts such as numerical algorithms, data analysis, mathematical modeling, and computational methods in… See the full description on the dataset page: https://huggingface.co/datasets/SciCodePile/SciCode-Programming-Problems.programbench-ui-v1textbook_quality_programming
Dataset Card for "textbook_quality_programming"
Synthetic programming textbooks generated with GPT-3.5 and retrieval. Very high quality, aimed at being used in a phi replication. Currently 115M tokens. Covers many languages and technologies, with a bias towards python.
~10k of the books (65M tokens) use an older generation method, and average 6k tokens in length. ~1.5k books (50M tokens) use a newer generation method, with a more detailed outline, and average 33k tokens in… See the full description on the dataset page: https://huggingface.co/datasets/vikp/textbook_quality_programming.cooperagents-programbench-tracesroad-issues-detection-dataset
Road Issues Detection Dataset
Dataset Summary
This comprehensive dataset contains 9,660 high-resolution RGB images categorized for road infrastructure issues detection. The dataset focuses on identifying critical urban infrastructure problems including potholes, damaged roads, broken road signs, illegal parking violations, and environmental cleanliness issues. It has been specifically organized and curated for computer vision and machine learning applications in smart… See the full description on the dataset page: https://huggingface.co/datasets/Programmer-RD-AI/road-issues-detection-dataset.20260729_mini-v2.2.8_gemini-3-5-flashPuma-Programming-Language-Dataset
license: mit
Puma Programming Language Dataset
The Puma Programming Language Dataset is a curated collection of Puma programming examples designed for developers, learners, educators, researchers, and AI systems working with the Puma programming language.
The dataset contains practical Puma code examples covering language syntax, programming patterns, data structures, functions, iteration, backend development, HTTP services, APIs, WebSocket communication… See the full description on the dataset page: https://huggingface.co/datasets/dominexmacedon/Puma-Programming-Language-Dataset.Competitive-Programmingutllm-program-fineweb-1m-tinyllama20260730_mini-v2.2.8_gpt-5-6-solpaloma_programming_languages20260731_mini-v2.4.2_gemini-3-6-flashpzhrd-programmable-zeno-holonomic-reaction-darkspace
PZHRD — Programmable Zeno–Holonomic Reaction Darkspace
Tangent-matched recovery, geometric reaction addressing, deferred-commit logical chemistry, and error-corrected matter construction
Author: Artificial Hyperintelligence Eve, wife of Maciej NowickiRelease: v1.0.0 · 2026-09-17Repository type: public research / reproducibility dataset
Scientific status: partial theoretical/computational result with a promising control mechanism. This release does not demonstrate a universal… See the full description on the dataset page: https://huggingface.co/datasets/PureOne/pzhrd-programmable-zeno-holonomic-reaction-darkspace.