datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
football-charts-results-goal-timing
Football Charts — Match Results and Goal Timing
Football Charts publishes results, fixtures, league tables and the minute of
every goal for 93 leagues in 42 countries, including the lower divisions and
women's competitions most sources skip. Free JSON API and MCP server; the
results and goal-timing dataset is CC BY 4.0 with a DOI
(10.5281/zenodo.22295583).
Most public football datasets cover the big five European leagues and stop at
the final score. This one reaches Serie C, 3.… See the full description on the dataset page: https://huggingface.co/datasets/Damir81/football-charts-results-goal-timing.Phone_Timings_Database
📖 TajweedAI: Quranic Phoneme Timing Benchmark (Phases 1, 2 & 3)
📌 Project Overview
TajweedAI evaluates Quranic recitation accuracy by analyzing both pronunciation (phoneme classification) and timing (rule duration evaluation).
This benchmark provides empirical, tempo-normalized duration boundaries for all 70 Quranic phonemes derived from forced alignments (MFA trained on Quranic audio) across 7 master reference reciters:
Sheikh Mahmoud Khalil Al-Husary (Gold… See the full description on the dataset page: https://huggingface.co/datasets/AhmedTamertechno1/Phone_Timings_Database.clinical-quad-data-cut-timing-database-lock-pressure-query-backlog-csr-narrative-drift-v0.1Clinical Quad Data Cut Timing Database Lock Pressure Query Backlog CSR Narrative Drift v0.1
Each row is a trial monthly snapshot.
Core quad
Data cut timingDatabase lock pressureQuery backlogCSR narrative drift
Target
label_regulatory_issue_next_90d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT
This dataset identifies a measurable coupling pattern associated with systemic instability.
The sample… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-data-cut-timing-database-lock-pressure-query-backlog-csr-narrative-drift-v0.1.legal-offer-part36-terms-timing-cost-risk-coherence-v0.1What this dataset does
You receive
offer type
terms and scope
timing and stage
valuation posture
cost consequence statement
expiry and mechanics
risk signals
You decide
coherent
or
incoherent
Daily use
offer QC before sending
cost risk mismatch detection
wrong form detection
unclear scope detection
clinical-intervention-timing-sepsis-v1
Clinical Intervention Timing Sepsis Detection
Overview
This dataset tests whether a model can detect when an intervention is applied within the effective timing window of a sepsis-like clinical system.
In complex clinical systems, a correct intervention can still fail if it arrives too late relative to the system’s trajectory. The key question is not only whether an action is appropriate, but whether it occurs early enough to alter the path away from collapse.
The goal of… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-intervention-timing-sepsis-v1.ABX-RM-013_ribosomal_protection_timing-v0.1ABX-RM-013 Ribosomal Protection Timing
Purpose
Detect early ribosomal protection activity that precedes MIC crossing a resistant cutoff.
Core pattern
stress_index high
ribosomal_protection_rel rises above a threshold
translation_output_rel rebounds vs prior timepoint
MIC stays below resistant_mic_cutoff_mg_L during the early window
later MIC crosses resistant_mic_cutoff_mg_L
Files
data/train.csv
data/test.csv
scorer.py
Schema
Each row is one timepoint in a within strain series.
Required… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ABX-RM-013_ribosomal_protection_timing-v0.1.clinical-rescue-window-timing-v0.1
Clinical Rescue Window Timing v0.1
This dataset tests whether a model can identify intervention timing under a narrowing rescue window.
The task is not diagnosis.
The task is not choosing what to do.
The task is deciding when action is still absorbable.
Core idea
The same intervention can be:
too early
well-timed
too late
no longer absorbable
The model must infer whether to:
act_now
monitor_short_interval
delay_until_bandwidth_improves
rollback_now… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-rescue-window-timing-v0.1.clinical-quad-basin-depth-intervention-timing-support-exposure-stability-recovery-window-v0.1What this repo does
This dataset models recovery surface formation in patient state dynamics. It predicts when the interaction between basin depth, intervention timing, support load, and exposure stability produces a recovery window where the patient is likely to return to a stable basin rather than remain trapped in a degraded regime.
Core quad
basin_depth_index
intervention_timing_hr
support_load_index
exposure_stability_index
Prediction target
label_recovery_window
Row structure
Each row… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-basin-depth-intervention-timing-support-exposure-stability-recovery-window-v0.1.personal-quad-carb-load-meal-timing-sleep-activity-glucose-spike-event-v0.1What this repo does
This dataset models glucose destabilization in personal health. It predicts when the interaction between carbohydrate load, meal timing, sleep, and activity level produces a glucose spike event rather than stable metabolic response.
Core quad
carb_load_g
meal_timing_hour
sleep_hours
activity_level_index
Prediction target
label_glucose_spike_event
Row structure
Each row represents a meal-state snapshot. The model predicts whether the coupled conditions trigger a glucose… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/personal-quad-carb-load-meal-timing-sleep-activity-glucose-spike-event-v0.1.