datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
actionnet-subset100-gtdepth
ActionNet subset100 with ground-truth depth
This is a 100-episode subset redistribution of a third-party dataset, plus our derived
artifacts. Read the attribution before using it.
Attribution and license
Upstream dataset
FourierIntelligence/ActionNet (Fourier Intelligence)
What is redistributed
100 episodes out of 30,121, byte-identical to the upstream tars: rgb.mp4 (1280x800 fisheye), depth.mkv (lossless 16-bit), timestamps.json, <ULID>.hdf5… See the full description on the dataset page: https://huggingface.co/datasets/glory-hyeok/actionnet-subset100-gtdepth.WHD_Wage_Theft_Enforcement_Actions_by_EmployerWHD Wage Theft Enforcement Actions by Employer
This is a mirror. Canonical home: https://www.fastdol.com/datasets/whd-wage-theft-enforcement-actions-by-employer
License: CC BY 4.0
Version DOI: 10.5281/zenodo.20031761
Concept DOI: 10.5281/zenodo.20031760
Download CSV: https://www.fastdol.com/datasets/whd-wage-theft-enforcement-actions-by-employer/data.csv
Visit the canonical page for the full schema, methodology, BibTeX citation, and most recent version.
Source
U.S. Department of… See the full description on the dataset page: https://huggingface.co/datasets/FastDOLz/WHD_Wage_Theft_Enforcement_Actions_by_Employer.legal-file-handover-knowledge-action-deadline-coherence-risk-v0.1What this dataset does
You receive
handover summary
key facts
strategy
tasks
deadlines
new actions
You decide
coherent
or
incoherent
Daily use
transfer QC
missed deadline prevention
strategy drift detection
legal-attendance-note-instruction-action-coherence-v0.1What this dataset does
You receive
note summary
instructions
advice
actions with owners
deadlines
consistency signals
You decide
coherent
or
incoherent
Daily use
call note QC
instruction capture check
deadline and ownership check
dispute prevention
legal-client-instruction-action-coherence-risk-v0.1What this dataset does
You receive
instruction record
timing
action taken
urgency context
confirmation
mismatch flags
You decide
coherent
or
incoherent
Daily use
instruction gap scan
premature action detection
authority risk reduction
action_500legal-pre-action-letter-claim-basis-remedy-evidence-coherence-v0.1What this dataset does
You receive
claim basis
facts
remedy
evidence list
protocol steps and deadlines
tone signals
You decide
coherent
or
incoherent
Daily use
LBA QC
remedy mismatch flag
evidence gap flag
protocol compliance check
revision routing
egal-client-instruction-email-call-note-action-coherence-risk-v0.1What this dataset does
You receive
instruction
channel
call note
action taken
confirmation sent
mismatch flags
You decide
coherent
or
incoherent
Daily use
instruction chain QC
“confirm in writing” enforcement
complaint risk reduction
legal-class-action-mdl-coherence-fracture-v0.1What this dataset is
You receive
aggregation structure
claim similarity profile
common issues strength
case management signals
bellwether or sampling signals
appellate or reform signals
You decide
Does the aggregation structure fit the claims
Answer
coherent
or
incoherent
Why this matters
Fracture signals predict
decertification
remand waves
settlement collapse
system strain
legal-attendance-note-advice-action-confirmation-coherence-risk-v0.1What this dataset does
You receive
note summary
advice summary
decision summary
actions summary
follow-up confirmation
file consistency flags
You decide
coherent
or
incoherent
Daily use
attendance note QC
missing advice detection
action mismatch detection
confirmation gap detection
A3CP_actionslegal-limitation-date-cause-of-action-coherence-risk-v0.1What this dataset does
You receive
facts timeline
claim type
accrual trigger
limitation rule
calculated date
diary date
standstill or extension record
mismatch flags
You decide
coherent
or
incoherent
Daily use
time bar risk scan
diary QC
standstill record QC
reduce negligence claims
top-github-actionshumanoid-action-observation-dataSimple-Robot-Action-Dataset-v1
Simple Robot Action Dataset v1
Basic multimodal dataset for robot action training.
Columns
image
audio
sensor_1
sensor_2
movement_label
object_label
voice_command
state-action-pairssoccer-player-action-vectors
Soccer Player Action Vectors (based on Soccer Match Event Dataset)
Описание
Датасет содержит векторные представления футболистов,
построенные на основе событий матча из публичного датасета
Soccer Match Event Dataset.
Каждая строка соответствует одному игроку и агрегирует его игровые действия
(средние координаты, количество событий разных типов и т.п.).
Структура данных
Файл: player_vectors.csv
shortName — краткое имя игрока
action_count — общее количество… See the full description on the dataset page: https://huggingface.co/datasets/gosha222/soccer-player-action-vectors.cctv-action-recognition-aux-cacheACTIONSBLUETEAM
