datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Barkopedia-Dog-Vocal-Detection
🐾 Dog Vocal Detection
This dataset is curated from internet videos to support research in dog vocalization detection using both weak and strong supervision.
It contains approximately 7,500 seconds of strongly labeled training audio
Over 9,000 seconds of weakly labeled clips sourced from AudioSet are included.
The dataset also provides 24 hours of unlabeled audio clips from our own collection.
To simulate realistic conditions, some clips feature dogs present without barking… See the full description on the dataset page: https://huggingface.co/datasets/ArlingtonCL2/Barkopedia-Dog-Vocal-Detection.Barkopedia_Dog_Sex_Classification_Dataset
📦 Dataset Description
This dataset is part of the Barkopedia Challenge: https://uta-acl2.github.io/barkopedia.html
Check training data on Hugging Face:
👉 ArlingtonCL2/Barkopedia_Dog_Sex_Classification_Dataset
This challenge provides a dataset of labeled dog bark audio clips:
29,345 total clips of vocalizations from 156 individual dogs across 5 breeds:
Shiba Inu
Husky
Chihuahua
German Shepherd
Pitbull
Training set: 26,895 clips
13,567 female13,328 male
Test set: 2,450… See the full description on the dataset page: https://huggingface.co/datasets/ArlingtonCL2/Barkopedia_Dog_Sex_Classification_Dataset.imagenet-aThe ImageNet-A dataset contains 7,500 natural adversarial examples.
Source: https://github.com/hendrycks/natural-adv-examples.Also see the ImageNet-C and ImageNet-P datasets at https://github.com/hendrycks/robustness
@article{hendrycks2019nae, title={Natural Adversarial Examples}, author={Dan Hendrycks and Kevin Zhao and Steven Basart and Jacob Steinhardt and Dawn Song}, journal={arXiv preprint arXiv:1907.07174}, year={2019}}
There are 200 classes we consider. The WordNet ID and a… See the full description on the dataset page: https://huggingface.co/datasets/barkermrl/imagenet-a.16mm-bar_installThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_widowxai_follower_robot",
"total_episodes": 61,
"total_frames": 54776,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:61"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/REBOOT26/16mm-bar_install.fitcheck-annotate-datasetBarkopedia_DOG_AGE_GROUP_CLASSIFICATION_DATASET
Dataset
Check Training Data here: ArlingtonCL2/Barkopedia_DOG_AGE_GROUP_CLASSIFICATION_DATASET
Dataset Description
This dataset is for Dog Age Group Classification and contains dog bark audio clips. The data is split into training, public test, and private test sets.
Training set: 17888 audio clips.
Test set: 4920 audio clips, further divided into:
Test Public (~40%): 1966 audio clips for live leaderboard updates.
Test Private (~60%): 2954 audio clips for final evaluation.
You will… See the full description on the dataset page: https://huggingface.co/datasets/ArlingtonCL2/Barkopedia_DOG_AGE_GROUP_CLASSIFICATION_DATASET.bartholomew-dataset-v3
BART Dataset v3
The final version of the BART pretraining corpus, focused on removing anything that betrays a
post-1930 origin. This is our best vintage dataset yet.
Documents
146,031 (97.52% of v2)
Characters
102,798,688,961 (96.73% of v2)
Tokens
~23B (estimated)
Shards
473 (one per v2 shard, same basename)
Source
BART Dataset v2
Cutoff
1930
Schema
single string column text
Lineage — three cumulative filtering stages over the same corpus:… See the full description on the dataset page: https://huggingface.co/datasets/jbduran/bartholomew-dataset-v3.meta-archivebartholomew-dataset-v1
BART Dataset v1
The first version of the BART pretraining corpus: pre-1930 English books drawn from
Institutional Books 1.0
and filtered hard on OCR quality, language, date, and tokenizability.
Documents
160,263
Characters
118,745,375,871
Tokens
~27B (estimated)
Shards
473 (472 train + 1 val)
Source
Institutional Books 1.0 (242B tokens, ~983K documents)
Schema
single string column text
Lineage — three cumulative filtering stages over the same corpus:… See the full description on the dataset page: https://huggingface.co/datasets/jbduran/bartholomew-dataset-v1.16mm-bar_recovery_installThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_widowxai_follower_robot",
"total_episodes": 62,
"total_frames": 63368,
"total_tasks": 2,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:62"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/REBOOT26/16mm-bar_recovery_install.variouscryptodata
variouscryptodata
Crypto market datasets collected as a by-product of our own research and
published so they are not lost. One sub-folder per dataset; each appended
nightly where collection is still running.
folder
what
coverage
cadence
polymarket_updown_orderbook/
Polymarket Up/Down (5m/15m) order books, 10 levels, BTC/ETH/SOL/XRP/DOGE/HYPE/BNB, with Binance spot reference
2026-05-24 → present
appended nightly (previous UTC day)
hyperliquid_trades/
Hyperliquid perp… See the full description on the dataset page: https://huggingface.co/datasets/Barthel/variouscryptodata.stocks_bars_1m
Dataset Details
Stock bars down to the 1 minute level from various stocks and ETFs. Data goes back to 2016.
Schema (when in a polars DataFrame):
Column
Type
open
Float64
high
Float64
low
Float64
close
Float64
trade_count
UInt32
volume
UInt32
vol_weighted_avg_price
Float64
timestamp
Datetime(time_unit='ms', time_zone='UTC')
ticker
String
name
String
Source Data
Data was scraped from the alpaca.markets Historical Bars API
bartholomew-dataset-v2
BART Dataset v2
The second version of the BART pretraining corpus, focused on stripping low-quality text —
boilerplate and OCR corruption — out of
v1.
Documents
149,745 (93.44% of v1)
Characters
106,274,384,672 (89.50% of v1)
Tokens
~24B (estimated)
Shards
473 (one per v1 shard, same basename)
Source
BART Dataset v1
Schema
single string column text
Lineage — three cumulative filtering stages over the same corpus:
Institutional Books 1.0 →
v1 →
v2 →
v3… See the full description on the dataset page: https://huggingface.co/datasets/jbduran/bartholomew-dataset-v2.SEC-EDGARDatamule, Teraflop AI, and Eventual collaborated to release the SEC-EDGAR dataset.
The dataset contains 590 gbs of data, spanning 8 million samples and 43 billion tokens from all major filings in the SEC EDGAR database.
The bulk data was collected using datamule-python library and the official datamule api created by John Friedman. The datamule Python library is a package for collecting, manipulating, and processing the SEC Edgar data at scale. Datamule provides a simple open-source api… See the full description on the dataset page: https://huggingface.co/datasets/baridhi/SEC-EDGAR.hhi-assist
HHI-Assist A Dataset and Benchmark of Human-Human Interaction in Physical Assistance Scenario
Saeed Saadatnejad, Reyhaneh Hosseininejad, Jose Barreiros, Katherine M. Tsui and Alexandre Alahi
https://ieeexplore.ieee.org/document/11071897
[webpage]
amazon-reviews-2023-with-asin
Amazon Reviews 2023 (with ASIN)
A trimmed version of the McAuley-Lab/Amazon-Reviews-2023 dataset, retaining only the fields most relevant for NLP tasks while adding explicit product identification via parent_asin.
What's Different from the Original
The original dataset includes 10+ fields per review and requires a legacy loading script that is no longer supported by HuggingFace. This version:
Keeps only 4 fields: rating, title, text, and parent_asin
Is stored in… See the full description on the dataset page: https://huggingface.co/datasets/BarbaDLuca/amazon-reviews-2023-with-asin.EventHubDatasetswe-mini-traces-qwen3-32222503Spatial_Four_Bar_Mechanism_Closed
Dataset Overview
This dataset is generated for the path synthesis of 1-DOF(degree-of-freedom) closed-loop spatial four-bar linkage mechanisms. Specifically, it contains closed paths only with their corresponding mechanisms. All mechanisms are actuated by revolute (R) joints, and include other various joints, including prismatic (P), cylindrical (C), universal (U), and spherical (S) joints. The dataset covers all possible 1-DOF(degree-of-freedom) closed-loop spatial four-bar… See the full description on the dataset page: https://huggingface.co/datasets/ComputerAidedDesignInnovation/Spatial_Four_Bar_Mechanism_Closed.BarkVN-50
Dataset Card for BarkVN-50: Tree Species Identification from Bark Texture
This is a FiftyOne dataset with 5578 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/BarkVN-50")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/BarkVN-50.activations-and-barcodes
sveneziale/activations-and-barcodes
Compute artifacts pushed by tda-for-llms's Hugging-Face-backed pipeline
(hf.enabled: true in experiment.yaml).
Layout
Two top-level folders:
activations/{model_slug}/{corpus}/{revision}/{act_name}/
Raw per-cloud activation matrices extracted from the model, one independent
copy per checkpoint (revision). Independent of topology.metric — the
same activations are reused across every metric or topology config that… See the full description on the dataset page: https://huggingface.co/datasets/sveneziale/activations-and-barcodes.womenblog_authorship_corpusThe Blog Authorship Corpus consists of the collected posts of 19,320 bloggers gathered from blogger.com in August 2004. The corpus incorporates a total of 681,288 posts and over 140 million words - or approximately 35 posts and 7250 words per person.
Each blog is presented as a separate file, the name of which indicates a blogger id# and the blogger’s self-provided gender, age, industry and astrological sign. (All are labeled for gender and age but for many, industry and/or sign is marked as unknown.)
All bloggers included in the corpus fall into one of three age groups:
- 8240 "10s" blogs (ages 13-17),
- 8086 "20s" blogs (ages 23-27),
- 2994 "30s" blogs (ages 33-47).
For each age group there are an equal number of male and female bloggers.
Each blog in the corpus includes at least 200 occurrences of common English words. All formatting has been stripped with two exceptions. Individual posts within a single blogger are separated by the date of the following post and links within a post are denoted by the label urllink.
The corpus may be freely used for non-commercial research purposes.activations_and_barcodes_3108
sveneziale/activations_and_barcodes_3108
Compute artifacts pushed by tda-for-llms's Hugging-Face-backed pipeline
(hf.enabled: true in experiment.yaml).
Layout
Two top-level folders:
activations/{model_slug}/{corpus}/{revision}/{act_name}/
Raw per-cloud activation matrices extracted from the model, one independent
copy per checkpoint (revision). Independent of topology.metric — the
same activations are reused across every metric or topology config… See the full description on the dataset page: https://huggingface.co/datasets/sveneziale/activations_and_barcodes_3108.BarbieGaitBarbieGait: An Identity-Consistent Synthetic Human Dataset with Versatile Cloth-Changing for Gait Recognition
CVPR 2026
Qingyuan Cai
·
Saihui Hou
·
Xuecai Hu
·
Yongzhen Huang*
School of Artificial Intelligence, Beijing Normal University · AMAP, Alibaba Group · WATRIX.AI
Dataset Access
The BarbieGait dataset is hosted on Hugging Face. Please fill… See the full description on the dataset page: https://huggingface.co/datasets/Andyen512/BarbieGait.Spatial_Four_Bar_Mechanism
Dataset Overview
This dataset is generated for the path synthesis of 1-DOF(degree-of-freedom) closed-loop spatial four-bar linkage mechanisms. Specifically, it contains both open and closed paths together with their corresponding mechanisms. All mechanisms are actuated by revolute (R) joints, and include other various joints, including prismatic (P), cylindrical (C), universal (U), and spherical (S) joints. The dataset covers all possible 1-DOF(degree-of-freedom) closed-loop spatial… See the full description on the dataset page: https://huggingface.co/datasets/ComputerAidedDesignInnovation/Spatial_Four_Bar_Mechanism.Bard16016mm-bar_removeThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_widowxai_follower_robot",
"total_episodes": 60,
"total_frames": 26940,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:60"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/REBOOT26/16mm-bar_remove.Barkopedia_DOG_AGE_GROUP_CLASSIFICATION_DATASET
Dataset
Check Training Data here: ArlingtonCL2/Barkopedia_DOG_AGE_GROUP_CLASSIFICATION_DATASET
Dataset Description
This dataset is for Dog Age Group Classification and contains dog bark audio clips. The data is split into training, public test, and private test sets.
Training set: 17888 audio clips.
Test set: 4920 audio clips, further divided into:
Test Public (~40%): 1966 audio clips for live leaderboard updates.
Test Private (~60%): 2954 audio clips for final evaluation.
You… See the full description on the dataset page: https://huggingface.co/datasets/hlx1021/Barkopedia_DOG_AGE_GROUP_CLASSIFICATION_DATASET.speech_commands
Dataset Card for "speech_commands"
More Information needed