datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ASMR-Archive-Processed-SFW
ASMR-Archive-Processed-SFW
Overview
This dataset is an “educational” subset of the original OmniAICreator/ASMR-Archive-Processed dataset.
We filtered the original dataset to include only records where the nsfw metadata flag is false.
To maintain the randomness and anonymity of the entries, multiple directories were combined and shuffled.
The nsfw tag in the original dataset is inherited from the tags of the original audio works before they were passed through the… See the full description on the dataset page: https://huggingface.co/datasets/noxwano/ASMR-Archive-Processed-SFW.MoeGirlPedia_wikitext_raw_archiveGlad to see models and datasets were inspired from this dataset, thanks to all who are using this dataset in their training materials.
Feel free to re-upload the contents to places like the Internet Archive (Please follow the license and keep these files as-is) to help preserve this digital asset.
Looking forward to see more models and synthetic datasets trained from this raw archive, good luck!
Note: Due to the content censorship system introduced by MGP on 2024/03/29, it is unclear that… See the full description on the dataset page: https://huggingface.co/datasets/milashkaarshif/MoeGirlPedia_wikitext_raw_archive.VoT-video-latent-archiveCowpea-Architecture-XML
Cowpea-Architecture-XML-WDS
This dataset contains simulated images of Cowpea plants paired with organ-level architecture representations in XML format, packaged in WebDataset (.tar) format for efficient high-performance training.
Dataset Structure
The dataset is sharded into .tar files, each containing up to 10,000 samples.
Each sample consists of:
.jpeg: The plant image
.xml: The organ-level architecture representation
.json: (Optional) Metadata
Usage with… See the full description on the dataset page: https://huggingface.co/datasets/heesup/Cowpea-Architecture-XML.ffhq_captioned_1024
ffhq_captioned_1024
A captioned bucketed-shards export of gaunernst/ffhq-1024-wds.
This export contains 70,000 square face and portrait images from FFHQ, stored as
JPEG TAR shards in a single 1024 x 1024 bucket. The source images are decoded
from the original dataset, deterministically converted to RGB, and re-encoded as
high-quality JPEG (quality=95, adaptive subsampling). Captions were generated
with a Gemini 2.5 Flash Lite primary pass and a Mistral Medium 3.1 fallback.
Intended… See the full description on the dataset page: https://huggingface.co/datasets/data-archetype/ffhq_captioned_1024.music-fingerprint-dataset
Neural Audio Fingerprint Dataset
(c) 2021 by Sungkyun Chang
https://github.com/mimbres/neural-audio-fp
This dataset includes all music sources, background noise and impulse-reponses
(IR) samples that have been used in the work ["Neural Audio Fingerprint for
High-specific Audio Retrieval based on Contrastive Learning"]
(https://arxiv.org/abs/2010.11910).
Format:
16-bit PCM Mono WAV, Sampling rate 8000 Hz
Description:
/
fingerprint_dataset_icassp2021/… See the full description on the dataset page: https://huggingface.co/datasets/arch-raven/music-fingerprint-dataset.mops-data-archiveThis is the anonymous Dataset upload for Multi-Objective Photoreal Simulation (MOPS) Dataset [under review].
This is the archived WebDataset version.
Cowpea-Architecture-XML
Cowpea-Architecture-XML-WDS
This dataset contains simulated images of Cowpea plants paired with organ-level architecture representations in XML format, packaged in WebDataset (.tar) format for efficient high-performance training.
Dataset Structure
The dataset is sharded into .tar files, each containing up to 10,000 samples.
Each sample consists of:
.jpeg: The plant image
.xml: The organ-level architecture representation
.json: (Optional) Metadata… See the full description on the dataset page: https://huggingface.co/datasets/bbrangeo/Cowpea-Architecture-XML.cc12_imagenet21k_recap_hq_bucketed
cc12_imagenet21k_recap_hq_bucketed
Title: cc12_imagenet21k_recap_hq_bucketed
Description: This ~18M rows dataset is a re upload of https://huggingface.co/datasets/gmongaras/CC12M_and_Imagenet21K_Recap_Highqual where the images have
been pre bucketed into SDXL style aspect ratio buckets for target training at ~512^2 and ~256^2 pixels, and where about 7M rows were recaptioned with either Gemini or Ministral.
To avoid re encoding the images they have been left untouched so cropping… See the full description on the dataset page: https://huggingface.co/datasets/data-archetype/cc12_imagenet21k_recap_hq_bucketed.archetype-amstrimagenet_22k_512_bucketable
ImageNet-22k 512-Bucketable Captioned Subset
This dataset is a pre-bucketed, captioned subset of timm/imagenet-22k-wds.
It is intended for text-to-image training and similar workflows that want images already grouped into aspect-ratio buckets near a 512-base training resolution. Images were kept only if they could fit one of the target buckets without upsampling after deterministic resize and crop.
Summary
Source: timm/imagenet-22k-wds (fall11 ImageNet-22k WebDataset… See the full description on the dataset page: https://huggingface.co/datasets/data-archetype/imagenet_22k_512_bucketable.dhwani_spaces_archivemlp-board-yuki-archive-html-textTaken from the yuki archive data. Contains the html text from the /mlp/ board up until a few years ago. It sure would be interesting to have a dataset that's organized by each thread in a spreadsheet separated by row with the posts in the thread separated by column, with the post number in each cell.
commonvoice22_sidon_be_rawsrtm-3-arc-second-global
SRTM 3 Arc-Second Global
Raw ASCII heightmaps of the Earth's surface labelled according to latitude and longitude.
Mission Description
The Shuttle Radar Topography Mission (SRTM) was flown aboard the space shuttle Endeavour February 11-22, 2000. The National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA) participated in an international project to acquire radar data which were used to create the first near-global set of… See the full description on the dataset page: https://huggingface.co/datasets/mpatrick1991/srtm-3-arc-second-global.LAION_Aesthetics_1024_bucketed_512
LAION Aesthetics 1024 Bucketed 512 Captioned
This is a captioned bucketed-shards export of images from limingcv/LAION_Aesthetics_1024.
Images were filtered and resized/cropped into SDXL-style aspect-ratio buckets at a 512 base resolution, without upsampling. The export contains 382,144 images across 397 uncompressed WebDataset-style tar shards.
The .txt files now contain model-generated captions, not the original LAION web-scrape alt text or surrounding page text. Captions were… See the full description on the dataset page: https://huggingface.co/datasets/data-archetype/LAION_Aesthetics_1024_bucketed_512.bg_photo_concepts_bucketed_512
bg_photo_concepts_bucketed_512
Title: bg_photo_concepts_bucketed_512
Description: A recaptioned, self contained, bucketed and ready to train with version of https://huggingface.co/datasets/bghira/photo-concept-bucket, exported at 512^2 ish resolution buckets.
I lost the tracking data of which version of Gemini this was captioned with, likely 2.0 flash or 2.5 flash. The captions are on the long and datailed side and sometimes slightly redundant, but overall high quality.… See the full description on the dataset page: https://huggingface.co/datasets/data-archetype/bg_photo_concepts_bucketed_512.classical_paintings_bucketed_1024
Classical Paintings Captioned
A curated dataset of 7,131 classical paintings by 42 artists spanning the Baroque period through the 19th century, each with a descriptive plain-language caption (100--150 words). Intended for fine-tuning text-to-image models.
Artists (42)
Aelbert Cuyp, Albert Bierstadt, Anders Zorn, Anthony van Dyck, Artemisia Gentileschi, Caravaggio, Diego Velazquez, Frans Hals, Frederic Edwin Church, Georges de La Tour, Gerard ter Borch, Gerrit Dou… See the full description on the dataset page: https://huggingface.co/datasets/data-archetype/classical_paintings_bucketed_1024.archetype-pubchemArctic_dataarchivio_dopARGOS-ARCHIVEhour