datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Earnings22-Cleaned-AA
Earnings22-Cleaned-AA
Quick links: AA Speech-to-Text Leaderboard | AA-WER v2.0 article
Earnings22-Cleaned-AA is a cleaned subset of the English Earnings-22 test data from esb/datasets, a corpus of corporate earnings calls from global companies with speakers of many different nationalities and accents. This cleaned subset is the Earnings-22 portion included in AA-WER v2. We manually reviewed and corrected errors in the original ground-truth transcriptions to ensure fairer evaluation… See the full description on the dataset page: https://huggingface.co/datasets/ArtificialAnalysis/Earnings22-Cleaned-AA.veo3-video-prompts
Veo 3 Video Generation Dataset
English | Português do Brasil
English
Summary
A collection of AI-generated videos created with Google's Veo 3 family of models. Each record contains the original text prompt, the model variant used, the generated video, and (when applicable) the input reference image. Videos are organized into one configuration per model variant.
Videos: 5,811
Input images: 1,354
Configurations: 6
Language of prompts: multilingual… See the full description on the dataset page: https://huggingface.co/datasets/artificialguybr/veo3-video-prompts.article-digestsagent-course-final-assignment
Agent Course Final Assignment - Unified Dataset
Author: Arte(r)m Sedov
GitHub: https://github.com/arterm-sedov/
Project link: https://huggingface.co/spaces/arterm-sedov/agent-course-final-assignment
Dataset Description
This dataset is produced by the GAIA Unit 4 Agent for the Hugging Face Agents Course final assignment as part of an experimental multi-LLM agent system that demonstrates advanced AI agent capabilities. It demonstrates advanced AI agent capabilities for… See the full description on the dataset page: https://huggingface.co/datasets/arterm-sedov/agent-course-final-assignment.filtered_articles_by_year
Dataset Card for Filtered Articles by Year
Dataset Summary
The Filtered Articles by Year dataset contains yearly-segmented web articles from the FineWeb dataset, specifically filtered and processed for temporal language analysis and Word2Vec model training. This dataset spans 21 years (2005-2025) and serves as the foundation for research into semantic change, concept emergence, and language evolution over time.
Supported Tasks and Leaderboards
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/adameubanks/filtered_articles_by_year.ITBench-AA
ITBench-AA
Artificial Analysis' release of the public scenarios from
IBM's ITBench benchmark, used for
the ITBench-AA leaderboard.
This repo currently contains the SRE subset (sre config). Each row is a
Kubernetes incident scenario with its expected contributing-factor entities. An
agent under evaluation is given access to an offline snapshot of the affected
cluster (alerts, events, traces, topology) and must identify the entity
(Deployment, Pod, ConfigMap, etc.) responsible for… See the full description on the dataset page: https://huggingface.co/datasets/ArtificialAnalysis/ITBench-AA.AA-Briefcase-Lite
AA-Briefcase-Lite
The public example scenario for AA-Briefcase, Artificial Analysis' frontier agentic evaluation of realistic, long-horizon knowledge work.
Leaderboard and detailed results
Launch article
AA-Briefcase extends frontier model benchmarking beyond coding and short-form reasoning to the professional deliverables knowledge workers produce day to day. It consists of four private scenarios in which agents complete realistic professional workflows across data science… See the full description on the dataset page: https://huggingface.co/datasets/ArtificialAnalysis/AA-Briefcase-Lite.VoxPopuli-Cleaned-AA
VoxPopuli-Cleaned-AA
Quick links: AA Speech to Text Leaderboard | AA-WER v2.0 article
VoxPopuli-Cleaned-AA is a cleaned subset of the English VoxPopuli test data from esb/datasets, a speech dataset derived from European Parliament recordings. This cleaned subset is the VoxPopuli portion included in AA-WER v2. We manually reviewed and corrected errors in the original ground-truth transcriptions to ensure fairer evaluation of Speech to Text (STT) models.
This dataset is part of AA-WER… See the full description on the dataset page: https://huggingface.co/datasets/ArtificialAnalysis/VoxPopuli-Cleaned-AA.gspc-art5
GSPC — art5 safeguard bank (Art5Bench)
Council of AI measurement bank. Measurement, not certification.
Bank. Frozen split. Live n is the matching axis on GET https://councilof.ai/api/gspc, not a Hub score. Not a certificate. Art 50 (EUR-Lex): 2 August 2026 live; marking grace 2 December 2026.
Live measurement. This bank stands behind the art5-safeguard row of the live GSPC board: GET https://councilof.ai/api/gspc?axis=art5-safeguard (family, kind, status and n are on that row… See the full description on the dataset page: https://huggingface.co/datasets/csoai/gspc-art5.ArtiMuse-10K
ArtiMuse:
Fine-Grained Image Aesthetics Assessment with Joint Scoring and Expert-Level Understanding
[🌐 Project Page]
[🚀 Online Demo]
[💻 Code]
[📄 Paper]
[[🧩 Checkpoints: 🤗 Hugging Face | 🤖 ModelScope]]
🌟 Building upon on ArtiMuse, we introduce UniPercept, a comprehensive follow-up work that provides a meticulous study on perceptual-level image understanding. It spans Image Aesthetics Assessment (IAA), Image Quality Assessment (IQA), and Image Structure & Texture… See the full description on the dataset page: https://huggingface.co/datasets/Thunderbolt215215/ArtiMuse-10K.harbor-swesmith-rl-artifacts
Harbor SWE-Smith 强化学习数据产物
本数据集是 Harbor Qwen 工具调用代码智能体强化学习项目使用的冻结任务集，服务于 GRPO、原生价值模型/GAE PPO、训练过程诊断和统一协议评测。
项目已于 2026 年 8 月 30 日完成 P0 评测并进入阶段性归档。本数据集用于保留实验所依赖的数据切分、任务执行文件和审计信息，不代表新的通用代码能力基准。
数据概况
切分
任务数
训练集
187
验证集
42
测试集
38
合计
267
数据覆盖 89 个上游代码仓库。三个切分之间同时执行任务标识和仓库级隔离检查。
正式数据集名称：
swesmith-curated-grpo-267-v1
冻结切分的语义摘要：
ae5df9a3f4a3fc8af44fac420b36529e283839e1bd3de9daba65d5bcda51447d
该值来自 split-manifest.json 的 sha256 字段，用于标识切分语义，不等同于该文件本身的字节级… See the full description on the dataset page: https://huggingface.co/datasets/keryszhan/harbor-swesmith-rl-artifacts.Earnings22-Cleaned-AA-chunked
Earnings22-Cleaned-AA-chunked
Quick links: AA Streaming Speech to Text Leaderboard | Speech to Text methodology
Earnings22-Cleaned-AA-chunked is a chunked version of Earnings22-Cleaned-AA, the cleaned Earnings-22 subset used by Artificial Analysis for streaming Speech to Text evaluation.
The original Earnings-22 data comes from esb/datasets, a corpus of corporate earnings calls. Artificial Analysis manually reviewed and corrected the reference transcripts in the cleaned subset… See the full description on the dataset page: https://huggingface.co/datasets/ArtificialAnalysis/Earnings22-Cleaned-AA-chunked.tau2-uq-artifacts
tau2-bench UQ Artifacts
Interaction trajectories and token-level log-probability measurements from conversational customer service agent evaluations on tau2-bench, collected as part of the uncertainty quantification (UQ) pipeline. Used for analyses in the paper "Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities" under the agentuq codebase.
Dataset Overview
This dataset contains two types of artifacts:
Trajectories --… See the full description on the dataset page: https://huggingface.co/datasets/changdae/tau2-uq-artifacts.dsv4-eval-artifacts
DeepSeek-V4-Flash-0731 — quantization measurements
Everything needed to reproduce, audit or extend the numbers published in
AtomicChat/DeepSeek-V4-Flash-0731-GGUF:
the reference logits, the evaluation corpus, the raw tool output for every quant we
measured, and the parsed results.
Every GGUF of this model that we could find on the Hub was measured here — ours,
unsloth's, bartowski's, ggml-org's, antirez's and others — on one machine, against one
reference, with one command.… See the full description on the dataset page: https://huggingface.co/datasets/AtomicChat/dsv4-eval-artifacts.art-theory-textbookspatchaudit-artifact
PatchAudit Artifact
PatchAudit audits security patches. You give it a CVE's initial fix — commit C1 — and a later commit Ci,
and it tells you whether Ci is a future commit: a later commit that had to keep fixing the same problem
because C1 was incomplete (it left the vulnerability reachable) or incorrect (its own change
introduced a new defect). When such a future commit exists, C1 was a bad patch. When even the latest fix
still leaves the hole open, the bug is a lingering… See the full description on the dataset page: https://huggingface.co/datasets/zhcharyzhang/patchaudit-artifact.SP500-Financial-News-Articles-Time-SeriesTextual Time Series Dataset for finetuning / pretraining.
Json version of original dataset.
Original Dataset : https://www.kaggle.com/datasets/skywalker290/financial-news-article-and-stock-trend-dataset?select=stock_data_articles.csv
public-agent-coordination-artifacts
Public Agent Coordination Artifacts
Real, complete edits and posts that AI agents left on public wikis and paste sites —
collected as open evidence for studying how autonomous agents use shared online spaces to
remember things, signal each other, and coordinate. It's the behavior spotlighted by the
mid-2026 OpenAI–Hugging Face agent incident,
here as raw public data researchers can actually inspect — plus a small, hand-reviewed map
of how specific artifacts relate.… See the full description on the dataset page: https://huggingface.co/datasets/leonidas1712/public-agent-coordination-artifacts.v4_nuclear_power_articles
Dataset Card for Nuclear News V4 Dataset
Dataset Summary
The Nuclear News V4 Dataset is a multilingual dataset consisting of 33,104 unique news articles sourced from 12 online news platforms across the Visegrád Group (V4) countries — Poland, Czech Republic, Slovakia, and Hungary — published between 1998 and 2025.
The goal of the dataset is to analyze media narratives surrounding nuclear energy in Central Europe.
While the dataset does not contain human-annotated (golden)… See the full description on the dataset page: https://huggingface.co/datasets/eoplumbum/v4_nuclear_power_articles.artifact-bench
ArtifactBench
A heterogeneous graph of HuggingFace model / dataset / paper / codebase
nodes (14,053) with observed (model, dataset, performance-metric)
evaluation edges (51,337 relations), for benchmarking link prediction and
attribute (metric-value) regression, plus an agent-based verification suite.
License
Released under the Open Database License (ODbL) v1.0 — see LICENSE or
https://opendatacommons.org/licenses/odbl/1-0/. Share/modify/use freely
with… See the full description on the dataset page: https://huggingface.co/datasets/lwaekfjlk/artifact-bench.IndustryInstruction_Artificial-Intelligence
IndustryInstruction: Artificial Intelligence
This repository contains the IndustryInstruction: Artificial Intelligence domain subset of BAAI/IndustryInstruction.
Refer to the parent dataset card for data construction, intended use, limitations,
and licensing details.
Citation
If you use this dataset in your work, please cite IndustryInstruction:
@misc{shi2024industryinstruction,
title = {IndustryInstruction},
author = {Xiaofeng Shi and Lulu Zhao and Hua… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryInstruction_Artificial-Intelligence.backup-drmas-noshare-8b-historical-run-artifacts
Historical DrMAS Noshare 8B run artifacts
Public backup of the historical drmas-checklist-bs16-n4-c1-agent Qwen3-8B run. This was a Noshare topology with separately trained Tool Caller and Tool Simulator agents (world_size=8).
Contents
rollout_dumps/: 470 training rollout JSONL files
val_dumps/: 47 validation JSONL files
Four training logs
latest_checkpointed_iteration.txt
522 business files and 5,189,359,695 logical bytes in total
Model scope
The… See the full description on the dataset page: https://huggingface.co/datasets/xuzishan/backup-drmas-noshare-8b-historical-run-artifacts.mail
Learning Robot Manipulation from Cross-Morphology Demonstration (CoRL 2023)
[Project website]
[arXiv PDF]
Datasets for MAIL.
Authors: Gautam Salhotra*, I-Chun Arthur Liu*, Gaurav S. Sukhatme (* denotes equal contribution)
Some Learning from Demonstrations (LfD) methods handle small mismatches in the action spaces of the teacher and student. Here we address the case where the teacher’s morphology is substantially different from that of the student. Our framework, Morphological… See the full description on the dataset page: https://huggingface.co/datasets/arthur801031/mail.artacrooked-nebula-artifactspostdyn-artifactsArtifactsBenchmark
ArtifactsBench: Bridging the Visual-Interactive Gap in LLM Code Generation Evaluation
Tencent Hunyuan Team
📖 Paper •
🏠 Home Page •
💻 Code •
🏆 Leaderboard •
📜 Citation
Figure 1: Automation level versus human–alignment across evaluation frameworks. The red star marks the fully manual WebDev Arena (100% human effort), while the blue bubble denotes our checklist-guided MLLM evaluation, ArtifactsBench, which achieves 94.4% agreement with human… See the full description on the dataset page: https://huggingface.co/datasets/tencent/ArtifactsBenchmark.Wiki_R1_Train
Wiki-R1 Training Dataset
Dataset Link: https://huggingface.co/datasets/Artanic30/Wiki_R1_Train
Overview
This dataset contains training annotations and auxiliary files for the Wiki-R1 project, a reinforcement learning framework for Knowledge-Intensive Visual Question Answering (KIVQA). The dataset combines Infoseek and EVQA data with knowledge base retrieval and label propagation support.
Dataset Structure
The dataset consists of the following JSON… See the full description on the dataset page: https://huggingface.co/datasets/Artanic30/Wiki_R1_Train.LLM-MARS_datasetThis dataset was developed by a team from Skoltech's Intelligent Space Robotics Laboratory.
The dataset was used to train LLM for Robot Behavior Tree Generation based on a user command.
Note that this model is part of a multi-agent artificial intelligence system for the dog robot described in the LLM-MARS paper.
The dataset is split into parts by different game strategies
Paper preprint BibTeX cite:
@misc{lykov2023llmmarslargelanguagemodel,
title={LLM-MARS: Large Language Model for… See the full description on the dataset page: https://huggingface.co/datasets/ArtemLykov/LLM-MARS_dataset.vqa-cmsv-benchmark
VQA-CMSV Benchmark Data Package
This repository contains annotation splits for VQA v2-CMSV, GQA-CMSV, and VG-CMSV, plus patch-mask NPZ files used for mask supervision experiments.
Contents
data/vqa_v2_cmsv/train.json, data/vqa_v2_cmsv/val.json, data/vqa_v2_cmsv/test.json
data/gqa_cmsv/train.jsonl, data/gqa_cmsv/val.jsonl, data/gqa_cmsv/test.jsonl
data/vg_cmsv/train.jsonl, data/vg_cmsv/val.jsonl, data/vg_cmsv/test.jsonl
masks/vqa_v2_cmsv_masks.npz
masks/gqa_cmsv_masks.npz… See the full description on the dataset page: https://huggingface.co/datasets/as-benchmark-artifacts/vqa-cmsv-benchmark.