datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
laions_got_talent
LAION's Got Talent: Generated Voice Acting Dataset
Overview
"LAION's Got Talent" is a generated dataset comprising voice acting samples that exhibit a wide range of emotions, vocal bursts, topics, and content. This dataset is a component of the BUD-E project, spearheaded by LAION with support from Intel.
Dataset Composition
The dataset includes:
Emotional Diversity: Samples portraying various emotions to facilitate research in emotional recognition and… See the full description on the dataset page: https://huggingface.co/datasets/laion/laions_got_talent.laions_got_talent_rawdan-webp-newlaions_got_talent_enhanced_no_metadatalaions_got_talent_embs_only
laions_got_talent Whisper Embeddings (Embeddings + Metadata Only)
This dataset contains Whisper embeddings (NPY) and metadata (JSON). The original audio files (MP3) are NOT included.
Embeddings computed with: mkrausio/EmoWhisper-AnS-Small-v0.1
Includes original audio: No
Includes metadata: Yes (JSON)
Includes embeddings: Yes (NPY)
Creation date: 2025-05-11
laions_got_talent_german_bicodecIRSPPIRD
PPIRD: Patent-Product Image Retrieval Dataset
PPIRD is the dataset released with the NeurIPS 2025 paper:
Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval
PPIRD is designed for Patent-Product Image Retrieval (PPIR), where a model retrieves relevant patent images from a large patent gallery given a product image query. This setting is useful for studying patent infringement search, open-set image retrieval, cross-domain visual matching, and… See the full description on the dataset page: https://huggingface.co/datasets/haifan-gong/PPIRD.google-landmarksTaiwan-Tongues-ASR-CE-dataset-hokkien
Taiwan-Tongues-ASR-CE-dataset-hokkien
本資料集為 Taiwan-Tongues-ASR-CE 專案所使用的預訓練資料，透過 WebDataset 格式打包，並上傳至 Hugging Face 以便研究人員與開發者自由取用。
📂 Dataset 結構
本資料集分為 Training 與 Test 兩個子集，均以 WebDataset tar 檔案形式存放：
Training set (WebDataset format)
train/train-000000.tar
train/train-000001.tar
...
Test set (WebDataset format)
test/test-000000.tar
...
tsv set
train.tsv
test.tsv
...
每個 tar 內部均包含對應的音檔與標註，方便直接搭配 WebDataset 與 PyTorch / Hugging Face datasets 進行訓練與測試。… See the full description on the dataset page: https://huggingface.co/datasets/adi-gov-tw/Taiwan-Tongues-ASR-CE-dataset-hokkien.laions_got_talent_previewyuxuan_good_dataset_dtyuxuan_good_dataset_sttTaiwan-Tongues-ASR-CE-dataset-zhtw
Taiwan-Tongues-ASR-CE-dataset-zhtw
本資料集為 Taiwan-Tongues-ASR-CE 專案所使用的預訓練資料，透過 WebDataset 格式打包，並上傳至 Hugging Face 以便研究人員與開發者自由取用。
📂 Dataset 結構
本資料集分為 Training 與 Test 兩個子集，均以 WebDataset tar 檔案形式存放：
Training set (WebDataset format)
train/train-000000.tar
train/train-000001.tar
...
Test set (WebDataset format)
test/test-000000.tar
...
tsv set
train.tsv
test.tsv
...
每個 tar 內部均包含對應的音檔與標註，方便直接搭配 WebDataset 與 PyTorch / Hugging Face datasets 進行訓練與測試。
🏷️… See the full description on the dataset page: https://huggingface.co/datasets/adi-gov-tw/Taiwan-Tongues-ASR-CE-dataset-zhtw.Taiwan-Tongues-ASR-CE-dataset-hakka
Taiwan-Tongues-ASR-CE-dataset-hakka
本資料集為 Taiwan-Tongues-ASR-CE 專案所使用的預訓練資料，透過 WebDataset 格式打包，並上傳至 Hugging Face 以便研究人員與開發者自由取用。
📂 Dataset 結構
本資料集分為 Training 與 Test 兩個子集，均以 WebDataset tar 檔案形式存放：
Training set (WebDataset format)
train/train-000000.tar
train/train-000001.tar
...
Test set (WebDataset format)
test/test-000000.tar
...
tsv set
train.tsv
test.tsv
...
每個 tar 內部均包含對應的音檔與標註，方便直接搭配 WebDataset 與 PyTorch / Hugging Face datasets 進行訓練與測試。
🏷️… See the full description on the dataset page: https://huggingface.co/datasets/adi-gov-tw/Taiwan-Tongues-ASR-CE-dataset-hakka.golos_opus
Dataset Description
GOLOS is a Russian dataset for speech research. This is the OPUS version of the GOLOS dataset.
Usage
from datasets import load_dataset, Audio
dataset = load_dataset("Sh1man/golos_opus", "crowd", split="train")
print(dataset[0]['opus'])
Dataset Statistics
Dataset structure
Domain
Train files
Train hours
Test files
Test hours
Crowd
979 796
1 095
9 994
11.2
Farfield
124 003
132.4
1 916
1.4
Total
1 103 799
1… See the full description on the dataset page: https://huggingface.co/datasets/Sh1man/golos_opus.pixelsplat-acidOGS_2021_gogame_collectionGoPro_DeblurTaiwan-Tongues-ASR-CE-dataset-en
Taiwan-Tongues-ASR-CE-dataset-en
本資料集為 Taiwan-Tongues-ASR-CE 專案所使用的預訓練資料，透過 WebDataset 格式打包，並上傳至 Hugging Face 以便研究人員與開發者自由取用。
📂 Dataset 結構
本資料集分為 Training 與 Test 兩個子集，均以 WebDataset tar 檔案形式存放：
Training set (WebDataset format)
train/train-000000.tar
train/train-000001.tar
...
Test set (WebDataset format)
test/test-000000.tar
...
tsv set
train.tsv
test.tsv
...
每個 tar 內部均包含對應的音檔與標註，方便直接搭配 WebDataset 與 PyTorch / Hugging Face datasets 進行訓練與測試。
🏷️… See the full description on the dataset page: https://huggingface.co/datasets/adi-gov-tw/Taiwan-Tongues-ASR-CE-dataset-en.mussel-gooseneck-seg-rgb-640
MusselGooseneckSeg: Semantic Segmentation for Rocky Intertidal Mussel and Gooseneck Barnacle Habitat
Dataset description
MusselGooseneckSeg is a dataset for semantic segmentation of mussel and gooseneck barnacle habitat using high resolution drone imagery. It provides pixel-wise annotation for mussels and gooseneck barnacles in rocky intertidal zones.
Source: Imagery collected by the Hakai Institute
Task description
The dataset is designed for semantic… See the full description on the dataset page: https://huggingface.co/datasets/HakaiInstitute/mussel-gooseneck-seg-rgb-640.ssdd-rsdd-dataReCo-Data
ReCo-Data Dataset Card
Introduction
ReCo-Data is a large-scale, high-quality video editing dataset comprising 500K+ instruction-video pairs. This card provides its statistics, collection pipeline, and dataset format.
1. Dataset Statistics
Statistics
Figure Caption:
(a) Overview of scale
(b) Task distribution showing balanced quantities: Replace (156.6K), Style (130.6K), Remove (121.6K), and Add (115.6K). Human evaluation on 200 randomly… See the full description on the dataset page: https://huggingface.co/datasets/godmodes/ReCo-Data.go_dataset_size9google_myanmar_asr_voices
Google Myanmar ASR Dataset (WebDataset Version)
This repository provides a clean, user-friendly, and robust version of the Google Myanmar ASR Dataset, which is derived from the OpenSLR-80 Burmese Speech Corpus.
This version has been carefully re-processed into the WebDataset format. Each sample consists of a .wav audio file and a clean .json metadata file, packaged into sharded .tar archives. This format is highly efficient for large-scale training of ASR models.… See the full description on the dataset page: https://huggingface.co/datasets/freococo/google_myanmar_asr_voices.mussel-gooseneck-seg-rgb-1024-1024
MusselGooseneckSeg: Semantic Segmentation for Rocky Intertidal Mussel and Gooseneck Barnacle Habitat
Dataset description
MusselGooseneckSeg is a dataset for semantic segmentation of mussel and gooseneck barnacle habitat using high resolution drone imagery. It provides pixel-wise annotation for mussels and gooseneck barnacles in rocky intertidal zones.
Source: Imagery collected by the Hakai Institute
Task description
The dataset is designed for semantic… See the full description on the dataset page: https://huggingface.co/datasets/HakaiInstitute/mussel-gooseneck-seg-rgb-1024-1024.Goya-DatasetDataset of Goya Paintings
go_dataset_imageinline-digital-holography
Dataset Card for Synthetic Inline Holographical Images
This dataset provides synthetic image triplets representing inline holographical imaging in a simulated environment. Each data sample consists of:
An object-domain image (the ground-truth object or amplitude pattern),
Its corresponding forward-propagated hologram (the inline holographic pattern at the sensor plane),
The numerically reconstructed image (via back-propagation or angular spectrum method).
The dataset is intended… See the full description on the dataset page: https://huggingface.co/datasets/gokhankocmarli/inline-digital-holography.laions-got-talent-thinking