datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
general-instruction-augmented-corpora
Instruction Pre-Training: Language Models are Supervised Multitask Learners (EMNLP 2024)
This repo contains the general instruction-augmented corpora (containing 200M instruction-response pairs covering 40+ task categories) used in our paper Instruction Pre-Training: Language Models are Supervised Multitask Learners.
We explore supervised multitask pre-training by proposing Instruction Pre-Training, a framework that scalably augments massive raw corpora with instruction-response… See the full description on the dataset page: https://huggingface.co/datasets/instruction-pretrain/general-instruction-augmented-corpora.GenEvolve-Data-Bench
GenEvolve Data and Bench
This repository contains the open-source data release for GenEvolve:
Config
Directory
Records
Images
Purpose
sft
GenEvolve-Data-SFT/
9,000 trajectories
50,291 reference images
supervised cold-start trajectories
rl
GenEvolve-Data-RL/
3,175 prompts
3,175 GT images
self-evolution / RL training prompts
bench
GenEvolve-Bench/
594 prompts
594 GT images
held-out evaluation benchmarkAll metadata is provided in both JSONL and Parquet. The Hugging Face… See the full description on the dataset page: https://huggingface.co/datasets/MeiGen-AI/GenEvolve-Data-Bench.genshin-voice
Genshin Voice
Genshin Voice is a dataset of voice lines from the popular game Genshin Impact.
Hugging Face 🤗 Genshin-Voice
ModelScope Genshin-Voice
Per-speaker downloads are grouped by language and ZIP size. Browse every archive in the ZIP index.
Last update at 2026-08-13
654252 wavs
7291 without speaker (1%)
52693 without transcription (8%)
1088 without inGameFilename (0%)
Dataset Details
Dataset Description
The dataset contains voice lines… See the full description on the dataset page: https://huggingface.co/datasets/simon3000/genshin-voice.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.social-sim-bench-gensGenPoster100K
Dataset Card for GenPoster100K
Dataset Summary
GenPoster-100K is a large-scale dataset for content-aware graphic layout generation introduced in the SEGA paper.
The paper describes it as a high-quality poster dataset with layer-parseable source materials and rich metadata.
This repository provides a Hugging Face datasets loader implementation that reads the source release (BruceW91/GenPoster-100K) and exposes normalized examples with:
poster background image… See the full description on the dataset page: https://huggingface.co/datasets/creative-graphic-design/GenPoster100K.genius-lyrics-cleaned
◎
Genius Lyrics Dataset
Cleaned & Deduplicated
🤗 Hugging Face
🤗 Hugging Face
DOI: 10.57967/hf/7978
DOI: 10.57967/hf/7978
revision: 9742989
revision: 9742989
A heavily cleaned, English-only, genre-filtered subset of the Genius Song… See the full description on the dataset page: https://huggingface.co/datasets/theelderemo/genius-lyrics-cleaned.gen_winograd_raw
gen_winograd
Project: https://ufal.mff.cuni.cz/corefud
Data source: https://github.com/mbzuai-nlp/gen-X/tree/bf1c0adb4b4def03cdf419c18b2948695bc1fab8
Details
English Winograd generated by GPT-4
Citation
@misc{whitehouse2023llmpowered,
title={LLM-powered Data Augmentation for Enhanced Crosslingual Performance},
author={Chenxi Whitehouse and Monojit Choudhury and Alham Fikri Aji},
year={2023},
eprint={2305.14288}… See the full description on the dataset page: https://huggingface.co/datasets/coref-data/gen_winograd_raw.genshin-voice-v3.3-mandarin
Dataset Card for Genshin Voice
Dataset Description
Dataset Summary
The Genshin Voice dataset is a text-to-voice dataset of different Genshin Impact characters unpacked from the game.
Languages
The text in the dataset is in Mandarin.
Dataset Creation
Source Data
Initial Data Collection and Normalization
The data was obtained by unpacking the Genshin Impact game.
Who are the source language producers?
The… See the full description on the dataset page: https://huggingface.co/datasets/hanamizuki-ai/genshin-voice-v3.3-mandarin.3D_native_rot_genshofo-tiktok-general-small
Shofo TikTok General (Small)
Overview
Shofo TikTok General (Small) is a dataset containing 50,000 TikTok videos with comprehensive metadata, transcripts, comments, and engagement metrics. This is a curated subset of Shofo's larger TikTok index, which contains hundreds of millions of indexed videos.
Size: ~50K videos (~500GB)
Modality: Video + Audio + Text (transcripts, comments, captions)
Source: TikTok
Schema
Column
Type
Description
file_name… See the full description on the dataset page: https://huggingface.co/datasets/Shofo/shofo-tiktok-general-small.code_generation
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
🏠 Home Page •
💻 GitHub Repository •
🏆 Leaderboard •
LiveCodeBench is a "live" updating benchmark for holistically evaluating code related capabilities of LLMs.
Particularly, it evaluates LLMs across a range of capabilties including code generation, self-repair, test output prediction, and code execution.
This is the code generation scenario of LiveCodeBench. It is also… See the full description on the dataset page: https://huggingface.co/datasets/livecodebench/code_generation.SlideChat
Introduction
This repository provides the dataset resources used for training and evaluating SlideChat, a multimodal large language model for whole-slide pathology image understanding.
The dataset includes both instruction-following training data and VQA/Caption evaluation benchmarks across multiple pathology cohorts and tasks.
Contents
Training Instruction Data
SlideInstruct_train_stage1_caption.json: Slide-level caption instruction data used for Stage-1… See the full description on the dataset page: https://huggingface.co/datasets/General-Medical-AI/SlideChat.bio-mcp-data
Bio-MCP-Data
A repository containing biological datasets that will be used by BIO-MCP MCP (Model Context Protocol) standard.
About
This repository hosts biological data assets formatted to be compatible with the Model Context Protocol, enabling AI models to efficiently access and process biological information. The data is managed using Git Large File Storage (LFS) to handle large biological datasets.
Purpose
Provide standardized biological datasets for AI… See the full description on the dataset page: https://huggingface.co/datasets/longevity-genie/bio-mcp-data.flux_generatedgenies_preferences
Dataset Card for "genie_dpo"
A conversion of the distribution from GENIES to open_pref_eval format.
Conversion code
Genius-song-lyrics-cleaned
🎵 Genius Song Lyrics cleaned Dataset
Dataset Description
This dataset is originally taken from Genius Song Lyrics and it contains cleaned and normalized song lyrics for more than 5 million songs, designed for large-scale topic modeling, clustering, and semantic analysis.
The dataset was specifically preprocessed to be compatible with embedding-based models (e.g. Sentence Transformers, BERTopic) while preserving lyrical meaning and thematic content.
Repetitive structures… See the full description on the dataset page: https://huggingface.co/datasets/Dr3dre/Genius-song-lyrics-cleaned.common_gen
Dataset Card for "common_gen"
Dataset Summary
CommonGen is a constrained text generation task, associated with a benchmark dataset,
to explicitly test machines for the ability of generative commonsense reasoning. Given
a set of common concepts; the task is to generate a coherent sentence describing an
everyday scenario using these concepts.
CommonGen is challenging because it inherently requires 1) relational reasoning using
background commonsense knowledge, and 2)… See the full description on the dataset page: https://huggingface.co/datasets/allenai/common_gen.code_generation_lite
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
🏠 Home Page •
💻 GitHub Repository •
🏆 Leaderboard •
📄 Paper
Change Log
Since LiveCodeBench is a continuously updated benchmark, we provide different versions of the dataset. Particularly, we provide the following versions of the dataset:
release_v1: The initial release of the dataset with problems released between May 2023 and Mar 2024 containing 400… See the full description on the dataset page: https://huggingface.co/datasets/lighteval/code_generation_lite.3D_full_poly_genGenIRdeception-activationscoqa-gen2mc3D_native_gen3D_full_poly_rot_gencad-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.squad-gen2mcGeneralThought-430K-filteredData from https://huggingface.co/datasets/GeneralReasoning/GeneralThought-430K, removed prompts with non commercial data
jeopardy-gen2mcphysical-ai-bench-generation
Physical AI Bench - Generation
Paper | Code
Dataset Description
The PAI-Bench is a benchmark to measure the progress of world models quantitatively.
The predict task contains a list of 1044 samples of text prompts, conditioning images, and qa pairs, covering Physical AI target domains including autonomous vehicle (AV) driving, robotics, industry (smart space), physics, human, and common sense. All the questions are binary questions, and the answer is either Yes or No. Our… See the full description on the dataset page: https://huggingface.co/datasets/shi-labs/physical-ai-bench-generation.
