datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
im3_open_source_data_center_atlas_v2026.02.09
IM3 Open Source Data Center Atlas v2026.02.09 — refined database
This repository preserves the IM3 Open Source Data Center Atlas v2026.02.09 and
adds a source-enriched, audited 43-column power-source table for all 1,479
source geometry records (1,474 unique IM3 IDs). The publication retains the exact
13 upstream columns plus 30 stable label, interpretation, and evidence fields.
Duplicate geometry records are intentionally retained.
Files… See the full description on the dataset page: https://huggingface.co/datasets/sarkarghya/im3_open_source_data_center_atlas_v2026.02.09.call_center_data_csvdatacenter-thermal-performance-coherence-risk-v0.1What this repo is for
Detect when heat and performance start to decouple.
Focus
• hotspot temperature vs throttling
• cooling margin vs p95 latency stability
• fan headroom vs sustained load
• early drift before alarms and shutdowns
Why it matters
Many outages are preceded by thermal drift.
Operators see it as “random latency.”
This dataset turns it into an early warning signal.
datacenter-power-load-coherence-risk-v0.1What this repo is for
Detect power instability before outages.
Focus
• rack load vs PSU margin
• UPS buffer vs spike frequency
• voltage variance vs reset events
• sustained load vs safe envelope
Why it matters
Power issues often look random.
They usually follow slow margin erosion.
This dataset turns that erosion into a visible signal.
datacenter-node-failure-cascade-risk-v0.1What this repo is for
Detect cascading node failure risk before full cluster outage.
Focus
• replication margin vs load
• failover speed
• service dependency density
• node failure clustering
Why it matters
Most major outages begin with small local failures.
The cascade forms when redundancy, load shift, and recovery fall out of alignment.
This dataset lets operators detect that drift early.