datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cad-gen-freecad-bench
Parametric CAD Bench — results dataset
Run-by-run results for Parametric CAD Bench, a benchmark that
measures whether AI agents can author editable FreeCAD models from
natural-language part descriptions. 1000 rows, one per
(agent, model, task_id, trial) over the
gnucleus-ai/cad-bench@v1
task suite. The public leaderboard view of this data lives at
cadbench.ai.
What's in here
data/cad-bench-v1.parquet — the row table. Each row carries the
composite + sub-scores… See the full description on the dataset page: https://huggingface.co/datasets/gnucleus-ai/cad-gen-freecad-bench.deception-activationscad-gen-freecad
CAD Generation Dataset
Each row in this dataset describes one parametric CAD part. Columns:
id — row identifier (also the basename of the per-row asset files)
name — part family (e.g. flanges, spur_gear_stock)
description — natural-language description of the geometry
key_parameters — the dimensions that drive the parametric model
image — 512×512 PNG preview rendered from the FCStd
fcstd_path — relative path inside this repo to the parametric FreeCAD document (fcstd/<id>.FCStd)… See the full description on the dataset page: https://huggingface.co/datasets/gnucleus-ai/cad-gen-freecad.sandbagging-activationssycophancy-activationscad-gen-freecad-bench-v2
Parametric CAD Bench v2 — results dataset
Run-by-run results for Parametric CAD Bench v2, a benchmark that measures
whether AI agents can author editable FreeCAD models from natural-language part
descriptions. This archive contains 1,000 rows: one trial for each of 100 tasks
across the 10 public jobs on the live
gnucleus-ai/cad-bench@v2
leaderboard.
What's in here
data/cad-bench-v2.parquet — the trial index. Each row carries the
continuous reward and its… See the full description on the dataset page: https://huggingface.co/datasets/gnucleus-ai/cad-gen-freecad-bench-v2.papercli-papers-aclgenai-arena-video-mp4IN22-Gen
IN22-Gen
IN22 is a newly created comprehensive benchmark for evaluating machine translation performance in multi-domain, n-way parallel contexts across 22 Indic languages. IN22-Gen is a general-purpose multi-domain evaluation subset of IN22. It has been created from two sources: Wikipedia and Web Sources offering diverse content spanning news, entertainment, culture, legal, and India-centric topics. The evaluation subset consists of 1024 sentences translated across 22 Indic… See the full description on the dataset page: https://huggingface.co/datasets/ai4bharat/IN22-Gen.GenAI-Bench
GenAI-Bench
Paper |
🤗 GenAI Arena |
Github
Introduction
GenAI-Bench is a benchmark designed to benchmark MLLMs’s ability in judging the quality of AI generative contents by comparing with human preferences collected through our 🤗 GenAI-Arnea. In other words, we are evaluting the capabilities of existing MLLMs as a multimodal reward model, and in this view, GenAI-Bench is a reward-bench for multimodal generative models.
We filter existing votes collecte visa NSFW filter… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/GenAI-Bench.movie_gen_video_bench
Dataset Card for the Movie Gen Benchmark
Movie Gen is a cast of foundation models that generates high-quality, 1080p HD videos with different aspect ratios and synchronized audio.
Here, we introduce our evaluation benchmark "Movie Gen Bench Video Bench", as detailed in the Movie Gen technical report (Section 3.5.2).
To enable fair and easy comparison to Movie Gen for future works on these evaluation benchmarks, we additionally release the non cherry-picked generated videos from… See the full description on the dataset page: https://huggingface.co/datasets/meta-ai-for-media-research/movie_gen_video_bench.GenAI-Bench
GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Baiqi Li1*, Zhiqiu Lin1,2*, Deepak Pathak1, Jiayao Li1, Yixin Fei1, Kewen Wu1, Tiffany Ling1, Xide Xia2†, Pengchuan Zhang2†, Graham Neubig1†, and Deva Ramanan1†.
1Carnegie Mellon University, 2Meta
Links:
📖Paper | | 🏠Home Page | | 🔍GenAI-Bench Dataset Viewer | 🏆Leaderboard|
🗂️GenAI-Bench-1600(ZIP format) | | 🗂️GenAI-Bench-Video(ZIP format) | |… See the full description on the dataset page: https://huggingface.co/datasets/BaiqiL/GenAI-Bench.genai-image-tag-db
GenAI Image Tag DB (cc0-1.0)
This repository contains the cc0-1.0 build of the tag database.
The main artifact is the SQLite database. The parquet_danbooru/ directory is a derived export so the Hugging Face Dataset Viewer can preview a subset of rows (Danbooru-only).
Files
genai-image-tag-db-cc0.sqlite: SQLite database
parquet_danbooru/*.parquet: Parquet export for Dataset Viewer
build_manifest.json: Build manifest (revisions and stats)
report/: Source effects… See the full description on the dataset page: https://huggingface.co/datasets/NEXTAltair/genai-image-tag-db.genai-image-tag-db-CC4
GenAI Image Tag DB (cc-by-4.0)
This repository contains the cc-by-4.0 build of the tag database.
The main artifact is the SQLite database. The parquet_danbooru/ directory is a derived export so the Hugging Face Dataset Viewer can preview a subset of rows (Danbooru-only).
Files
genai-image-tag-db-cc4.sqlite: SQLite database
parquet_danbooru/*.parquet: Parquet export for Dataset Viewer
build_manifest.json: Build manifest (revisions and stats)
report/: Source… See the full description on the dataset page: https://huggingface.co/datasets/NEXTAltair/genai-image-tag-db-CC4.papercli-papers-neurips
AI Conference & Journal Papers - NeurIPS PDF Storage
This repository is a storage shard containing the raw PDF files for NeurIPS papers. It is part of the larger AI Conference & Journal Papers dataset project.
⚠️ Important: This repository only contains the sharded PDF binary files. It does not contain the searchable metadata (titles, abstracts, authors, etc.).
To search, browse, or filter papers, you must use the Main Parent Repository:
👉 Main Dataset & Metadata:… See the full description on the dataset page: https://huggingface.co/datasets/GenAI4ELab/papercli-papers-neurips.amc_aime_math_220k_filtered_single_gengenai-image-tag-db-mit
GenAI Image Tag DB (mit)
This repository contains the mit build of the tag database.
The main artifact is the SQLite database. The parquet_danbooru/ directory is a derived export so the Hugging Face Dataset Viewer can preview a subset of rows (Danbooru-only).
Files
genai-image-tag-db-mit.sqlite: SQLite database
parquet_danbooru/*.parquet: Parquet export for Dataset Viewer
build_manifest.json: Build manifest (revisions and stats)
report/: Source effects and health… See the full description on the dataset page: https://huggingface.co/datasets/NEXTAltair/genai-image-tag-db-mit.safewatch-genai
SafeWatch-TV2V Dataset
Overview
This dataset combines SafeWatch-Bench original videos and TV2V generated videos for video safety detection and robustness testing.
Dataset Structure
Three Main Components:
TV2V-output: Generated videos with prompts
Videos: 1,040 files
Metadata: 1,213 entries in TV2V-output.jsonl
Content: Generated videos with their corresponding prompts
TV2V-input: Original videos used for generation
Videos: 410 files… See the full description on the dataset page: https://huggingface.co/datasets/EchoRaven/safewatch-genai.papercli-papers-iccv
AI Conference & Journal Papers - ICCV PDF Storage
This repository is a storage shard containing the raw PDF files for ICCV papers. It is part of the larger AI Conference & Journal Papers dataset project.
⚠️ Important: This repository only contains the sharded PDF binary files. It does not contain the searchable metadata (titles, abstracts, authors, etc.).
To search, browse, or filter papers, you must use the Main Parent Repository:
👉 Main Dataset & Metadata:… See the full description on the dataset page: https://huggingface.co/datasets/GenAI4ELab/papercli-papers-iccv.sms-spam-enriched
SMS Spam Enriched Dataset
An enriched version of the classic SMS Spam Collection Dataset from UC Irvine with additional engineered features and semantic embeddings.This dataset is designed for spam detection, feature engineering experiments, and model interpretability research.
Dataset Overview
Total samples: 5,171
Classes:
0: Ham (non-spam)
1: Spam
Enrichments Added
Alongside the raw SMS text (sms) and labels (label), we engineered multiple new… See the full description on the dataset page: https://huggingface.co/datasets/GenAIDevTOProd/sms-spam-enriched.cardio-mark
CardioMark Review Subset
This repository contains an anonymized review subset of the CardioMark benchmark introduced for automated vertebral heart score (VHS) estimation in canine thoracic radiographs.
The subset is provided to support reproducibility and data-quality inspection during peer review.
Dataset Overview
CardioMark is a large-scale benchmark for evaluating the complete VHS measurement pipeline, including:
cardiac landmark localization
geometric VHS estimation… See the full description on the dataset page: https://huggingface.co/datasets/gen-ai-researcher/cardio-mark.papercli-papers-cvpr
AI Conference & Journal Papers - CVPR PDF Storage
This repository is a storage shard containing the raw PDF files for CVPR papers. It is part of the larger AI Conference & Journal Papers dataset project.
⚠️ Important: This repository only contains the sharded PDF binary files. It does not contain the searchable metadata (titles, abstracts, authors, etc.).
To search, browse, or filter papers, you must use the Main Parent Repository:
👉 Main Dataset & Metadata:… See the full description on the dataset page: https://huggingface.co/datasets/GenAI4ELab/papercli-papers-cvpr.gspc-genai-mil-notices
GenAI.mil notices — public record only
Sign the press, not the models. Seven public.notice leaves signed under did:web:csoai.org#board-attestation-1 and anchored in councilof.ai public/root.json merkle (commit a685ef7d).
7/7 payload sha256 match + Ed25519 VALID on #board-attestation-1.
Not GSPC measurement cards. #card-attestation-1 is InvalidSignature (expected). Not MEASURED.
IL5 deployments UNCHECKABLE. Vendor system-card vs our card: UNMEASURED.
NIST AI RMF → GSPC is a… See the full description on the dataset page: https://huggingface.co/datasets/csoai/gspc-genai-mil-notices.genai-bench-sdxl-latents
GenAI-Bench SDXL with Latent Trajectories
SDXL generations for the GenAI-Bench prompts, paired with
the per-step decoded-latent trajectory of each generation. This dataset was created to evaluate NoisyCLIP.
For every prompt, 10 images were generated (1600 prompts → 16,000 generations). Each generation provides:
the full-resolution final image,
the 50-step denoising trajectory (each step's latent decoded to a small preview image), and
a CLIP-FlanT5-XXL VQAScore measuring… See the full description on the dataset page: https://huggingface.co/datasets/asiimo/genai-bench-sdxl-latents.papercli-papers
AI Conference & Journal Papers
Searchable metadata and full-text PDF mirrors for papers from top-tier AI venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, WACV, ACL, EMNLP, NAACL, IJCAI, AAAI, JMLR, Interspeech) from 2023.
📊 papers.parquet: The complete dataset containing all fields and all venues.
🔍 Per-venue browse views: Easily explore specific subsets by selecting a venue in Subset and a year in Split.
🏗️ Dataset Structure & Storage Strategy
To avoid… See the full description on the dataset page: https://huggingface.co/datasets/GenAI4ELab/papercli-papers.GenAI-Bench-1600
This page contains only the zip format data of GenAI-Bench-1600, which can be downloaded manually or using git clone.
We recommend using the parquet format. The code is as follows:
from datasets import load_dataset
dataset = load_dataset("BaiqiL/GenAI-Bench")
hleGenAI-Bench-picturesGenAI-EdSent
📄 Associated Paper
Title: Unveiling User Perceptions in the Generative AI Era: A Sentiment-Driven Evaluation of AI Educational Apps' Role in Digital Transformation of E-Teaching
Authors: Adeleh Mazaheriyan (Islamic Azad University) & Erfan Nourbakhsh (University of Isfahan)
Abstract: This study performs a sentiment-driven evaluation of user reviews from 22 top AI ed-apps on the Google Play Store to assess efficacy, challenges, and pedagogical implications. Our pipeline leverages… See the full description on the dataset page: https://huggingface.co/datasets/Erfan-Nourbakhsh/GenAI-EdSent.us-genai-court-opinions
US court decisions on generative AI
566 court-authored US documents (opinions, orders, concurrences, dissents, administrative orders) that address generative AI or the fabricated authorities courts associate with it — ai_mention says whether the court itself names AI — each coded by topic, with the public-domain passage quoted, plus 9 legal-AI litigation dockets with dated milestones.
Built 2026-09-08 by SafeLegalAI (Cognesio LLP). Canonical pages: safelegalai.com/courts ·… See the full description on the dataset page: https://huggingface.co/datasets/safelegalaidata/us-genai-court-opinions.