datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cml-tts
Dataset Card for CML-TTS
Dataset Summary
CML-TTS is a recursive acronym for CML-Multi-Lingual-TTS, a Text-to-Speech (TTS) dataset developed at the Center of Excellence in Artificial Intelligence (CEIA) of the Federal University of Goias (UFG).
CML-TTS is a dataset comprising audiobooks sourced from the public domain books of Project Gutenberg, read by volunteers from the LibriVox project. The dataset includes recordings in Dutch, German, French, Italian, Polish… See the full description on the dataset page: https://huggingface.co/datasets/ylacombe/cml-tts.3DCode
Project page
Paper
Code
3dcodebench.com
arXiv:2606.01057
gaoypeng/3dcodebench
News
[06/01/2026] Paper released on arXiv: 3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code.
Note. This is an open-source reproduction of 3DCodeBench.
⚠️ Under final check. The 3DCodeData/ code is still undergoing final
quality review and may contain occasional issues (non-executable scripts, mismatched
captions/renders, or imperfect geometry). If you run… See the full description on the dataset page: https://huggingface.co/datasets/YipengGao/3DCode.yodas-granary
Dataset Card for YODAS-Granary
Repository: NeMo-speech-data-processor: Granary
Paper: Granary: Speech Recognition and Translation Dataset in 25 European Languages
Shared by: ESPnet
Dataset Description
YODAS-Granary is a curated subset of the larger nvidia/Granary dataset, focusing on high-quality pseudo-labeled speech data for Automatic Speech Recognition (ASR) and Automatic Speech Translation (AST) across 23 European languages.
Overview… See the full description on the dataset page: https://huggingface.co/datasets/espnet/yodas-granary.L2DTL;DR of L2D, the world's largest self-driving dataset! Read more about L2D on the official Huggingface blog: LeRobot goes to driving school
90+ TeraBytes of multimodal data (5000+ hours of driving) from 30 cities in Germany
6x surrounding HD cameras and complete vehicle state: Speed/Heading/GPS/IMU
Continuous: Gas/Brake/Steering and discrete actions: Gear/Turn Signals
Environment state: Lane count, Road type (highway|residential), Road surface (asphalt, cobbled, sett), Max speed limit.… See the full description on the dataset page: https://huggingface.co/datasets/yaak-ai/L2D.checkpoint
Dataset Card for LLaVA-Video-178K
Uses
This dataset is used for the training of the LLaVA-Video model. We only allow the use of this dataset for academic research and education purpose. For OpenAI GPT-4 generated data, we recommend the users to check the OpenAI Usage Policy.
Data Sources
For the training of LLaVA-Video, we utilized video-language data from five primary sources:
LLaVA-Video-178K: This dataset includes 178,510 caption entries, 960,792 open-ended… See the full description on the dataset page: https://huggingface.co/datasets/YYF111/checkpoint.aime_2025
AIME 2025
This dataset contains 30 problems from the 2025 AIME tests, including:
AIME I: 15 problems
AIME II: 15 problems
yodas2_sidon
YODAS2-Sidon
Overview
This dataset is a cleansed version of YODAS-2 with Sidon speech restoration mode for Speech Synthesis and Spoken Language Modeling.
YODAS-2 is a massive, multilingual YouTube-derived dataset. We have applied the Sidon restoration model to remove background noise and enhance audio quality, making it suitable for high-quality generation tasks.
We resampled original sidon output to 24kHz due to a storage constraints.
The dataset is provided in… See the full description on the dataset page: https://huggingface.co/datasets/sarulab-speech/yodas2_sidon.alpaca-cleaned
Dataset Card for Alpaca-Cleaned
Repository: https://github.com/gururise/AlpacaDataCleaned
Dataset Description
This is a cleaned version of the original Alpaca Dataset released by Stanford. The following issues have been identified in the original release and fixed in this dataset:
Hallucinations: Many instructions in the original dataset had instructions referencing data on the internet, which just caused GPT3 to hallucinate an answer.
"instruction":"Summarize… See the full description on the dataset page: https://huggingface.co/datasets/yahma/alpaca-cleaned.yelp_review_full
Dataset Card for YelpReviewFull
Dataset Summary
The Yelp reviews dataset consists of reviews from Yelp.
It is extracted from the Yelp Dataset Challenge 2015 data.
Supported Tasks and Leaderboards
text-classification, sentiment-classification: The dataset is mainly used for text classification: given the text, predict the sentiment.
Languages
The reviews were mainly written in english.
Dataset Structure
Data Instances
A… See the full description on the dataset page: https://huggingface.co/datasets/Yelp/yelp_review_full.dataset-with-standalone-yamlThis is a test dataset used in the datasets library CI
yonder
Yonder: A 4.65M-Frame Drone-Perspective Dataset for Indoor Navigation
The cross-simulator generalization gap.
Yonder is the largest publicly available drone-perspective dataset for indoor
navigation, plus a closed-loop benchmark designed to expose a failure mode invisible
to standard offline metrics: perception trained on one simulator does not transfer
cleanly to a different simulator, even when both target the same task.
This dataset accompanies the NeurIPS 2026 Datasets &… See the full description on the dataset page: https://huggingface.co/datasets/astralhf/yonder.yayi2_pretrain_data
介绍/Introduction
本数据集源自雅意训练语料，我们精选了约100B数据，数据大小约为500GB。我们期望通过雅意预训练数据的开源推动中文预训练大模型开源社区的发展，并积极为此贡献力量。通过开源，我们与每一位合作伙伴共同构建雅意大模型生态。
We opensource the pre-trained dataset in this release, it should contain more than 100B tokens depending on the tokenizer you use, requiring more than 500GB of local storage. By open-sourcing the pre-trained dataset, we aim to contribute to the development of the Chinese pre-trained large language model open-source community. Through open-source, we aspire to… See the full description on the dataset page: https://huggingface.co/datasets/wenge-research/yayi2_pretrain_data.new-york-smells
New York Smells: A Large Multimodal Dataset for Olfaction
While olfaction is central to how animals perceive the world, this rich chemical
sensory modality remains largely inaccessible to machines. One key bottleneck is the
lack of diverse, multimodal olfactory data collected in natural settings. We present
New York Smells, a large-scale dataset of paired image and olfactory signals
captured in-the-wild. Our dataset contains 7,000 smell-image pairs from 3,500 distinct
objects… See the full description on the dataset page: https://huggingface.co/datasets/cvlab/new-york-smells.Public-YAM-runs
Public-YAM-runs
Physical bimanual YAM episodes recorded by the BluPe operator station.
Each run adds an episode to this repository. Failed, interrupted, stopped and
timed-out runs are retained and labeled; these are not all successful demonstrations.
A model saying done is not independently verified task success.
Loading
from datasets import load_dataset
runs = load_dataset("andlyu/Public-YAM-runs", split="train")
usable = runs.filter(lambda row:… See the full description on the dataset page: https://huggingface.co/datasets/andlyu/Public-YAM-runs.malaysian-youtube
Malaysian Youtube
Malaysian and Singaporean youtube channels, total up to 60k audio files with total 18.7k hours.
URLs data at https://github.com/mesolitica/malaya-speech/tree/master/data/youtube/data
Notebooks at https://github.com/mesolitica/malaya-speech/tree/master/data/youtube
How to load the data efficiently?
import pandas as pd
import json
from datasets import Audio
from torch.utils.data import DataLoader, Dataset
chunks = 30
sr = 16000
class Train(Dataset):… See the full description on the dataset page: https://huggingface.co/datasets/malaysia-ai/malaysian-youtube.YO-CPT-ru
YO-CPT-ru
YouTube-Oriented dataset for Continual Pre-Training (Russian). A large, heavily
quality-filtered corpus of Russian speech mined from YouTube (via YODAS2)
and processed into clean, single-speaker, TTS-grade utterances. Every utterance ships with an
ensemble-verified transcription, a punctuated/denormalized and stress-marked text variant, word-level
forced alignment, within- and cross-video speaker identities, an audio-quality (MOS) score, and a
speaker persona built… See the full description on the dataset page: https://huggingface.co/datasets/NCSpeech/YO-CPT-ru.MMLongBench-Docyelp_polarity
Dataset Card for "yelp_polarity"
Dataset Summary
Large Yelp Review Dataset.
This is a dataset for binary sentiment classification. We provide a set of 560,000 highly polar yelp reviews for training, and 38,000 for testing.
ORIGIN
The Yelp reviews dataset consists of reviews from Yelp. It is extracted
from the Yelp Dataset Challenge 2015 data. For more information, please
refer to http://www.yelp.com/dataset_challenge
The Yelp reviews polarity dataset is constructed by… See the full description on the dataset page: https://huggingface.co/datasets/fancyzhx/yelp_polarity.VOST-TAS
[NeurIPS 2025] Tracking and Understanding Object Transformations
If you like our project, please give us a star ⭐ on GitHub for the latest update.
💡 Description
Dataset Visualizations: GitHub
Paper: arXiv:2511.04678
Project Page: tubelet-graph.github.io
Project Repository: GitHub
Point of Contact: Yihong Sun
📊 Dataset Overview
VOST-TAS (TrackAnyState) is an extended version of the VOST validation set with explicit transformation annotations for tracking and… See the full description on the dataset page: https://huggingface.co/datasets/yihongs/VOST-TAS.React
React — Multi-Task Tactile-Visual Manipulation
Dense, contact-rich, synchronized multimodal interaction data collected from human hands holding handheld GelSight tactile sensors (no robot arm). Intended for tactile-visual dynamics / world-model learning.
133 min · 240 k frames @ 30 Hz · 3× RGB + 2× GelSight + OptiTrack · 2 tasks
Format — LeRobot-style video release
Each episode ships as 5 MP4 video streams (640×480, H.264) + a per-frame parquet of poses and… See the full description on the dataset page: https://huggingface.co/datasets/yxma/React.audioset
AudioSet
AudioSet[1] consists of an expanding ontology of 527 audio event classes and a collection of 2M human-labelled 10-second sound clips drawn from YouTube.
Some clips are missing on YouTube, so the number of files downloaded is different from time to time.
This repository contains 20550 / 22160 of the balanced train set, 1913637 / 2041789 of the unbalanced train set (separated into 41 parts), and 18887 / 20371 of the evaluation set.
The pre-process script can be found at… See the full description on the dataset page: https://huggingface.co/datasets/yangwang825/audioset.firefly-train-1.1M本数据应用于项目：Firefly（流萤）: 中文对话式大语言模型 ，训练后得到的模型firefly-1b4
如果您觉得此数据集对您有帮助，请like此数据集并在Github项目中star我们。
我们收集了23个常见的中文数据集，对于每个任务，由人工书写若干种指令模板，保证数据的高质量与丰富度，数据量为115万 。数据分布如下图所示：
每条数据的格式如下，包含任务类型、输入、目标输出：
{
"kind": "ClassicalChinese",
"input": "将下面句子翻译成现代文：\n石中央又生一树，高百余尺，条干偃阴为五色，翠叶如盘，花径尺余，色深碧，蕊深红，异香成烟，著物霏霏。",
"target": "大石的中央长着一棵树，一百多尺高，枝干是彩色的，树叶有盘子那样大，花的直径有一尺宽，花瓣深蓝色，花中飘出奇异的香气笼罩着周围，如烟似雾。"
}
训练数据集的token长度分布如下图所示，绝大部分数据的长度都小于600：
yahoo_answers_topics
Dataset Card for "Yahoo Answers Topics"
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source… See the full description on the dataset page: https://huggingface.co/datasets/community-datasets/yahoo_answers_topics.Obstacle-Detection-Dataset-YOLO
ROD-Dataset: Real-Time Obstacle Detection for Smartphone-Based Assistive Vision
24,326-image, 25-class YOLO dataset for obstacle detection
This dataset is the data product of our Real-Time Obstacle Detection (ROD) project at Amirkabir University of Technology, Tehran. The project addresses two related public-safety problems on the city sidewalk: the limited situational awareness of people living with visual impairments, and the elevated collision and fall risk for pedestrians… See the full description on the dataset page: https://huggingface.co/datasets/Abtinzandi/Obstacle-Detection-Dataset-YOLO.ogiri-bokete
読み込み方
from datasets import load_dataset
dataset = load_dataset("YANS-official/ogiri-bokete", split="train")
概要
大喜利投稿サイトBoketeのクロールデータです。元データは CLoT-Oogiri-Go [Zhang+ CVPR2024]というデータの一部です。
詳細はCVPRのプロジェクトページをご確認ください。
このデータは以下の3タスクが含まれます。
text_to_text: テキストでお題が渡され、それに対する回答を返します。
image_to_text: いわゆる「画像で一言」です。画像のみが渡されて、テキストによる回答を返します。
text_image_to_text: 画像中にテキストが書かれています。テキストの一部が空欄になっているので、そこに穴埋めする形で回答を返します。
それぞれの量は以下の通りです。（8/30現在。ハッカソン当日までに増やす可能性があります。）
タスク… See the full description on the dataset page: https://huggingface.co/datasets/YANS-official/ogiri-bokete.us-stocks-daily-allCHB-MITenglish_quotes_copy
Dataset Card for "english_quotes_copy"
More Information needed
MultiHopRAG
Dataset Card for Dataset Name
A Dataset for Evaluating Retrieval-Augmented Generation Across Documents
Dataset Description
MultiHop-RAG: a QA dataset to evaluate retrieval and reasoning across documents with metadata in the RAG pipelines. It contains 2556 queries, with evidence for each query distributed across 2 to 4 documents. The queries also involve document metadata, reflecting complex scenarios commonly found in real-world RAG applications.
Dataset Sources… See the full description on the dataset page: https://huggingface.co/datasets/yixuantt/MultiHopRAG.regx-benchmark
RegX
Cross-Domain Multi-View Point Cloud Registration Benchmark
RegX evaluates multi-view point cloud registration across scales spanning nine orders
of magnitude — nanometre-scale microscopy to kilometre-scale airborne maps — and sensors
never designed to be compared: clinical colonoscopes, RGB-D cameras, spinning and
solid-state LiDAR, terrestrial and airborne laser scanners.
Most registration benchmarks fix one sensor and one scale. RegX asks a narrower question
instead: does… See the full description on the dataset page: https://huggingface.co/datasets/YuePanEdward/regx-benchmark.