PHPMem v2.0.1
Version
1.6.45
Uptime
7 days 3 hours 52 minutes 19 seconds
Memory
Total
512MB
Used
13,32MB (2.6%)
Free
498,68MB
Keys
Current
10 162
Total (since start)
11 092
Evictions
0
Reclaimed
157
Expired Unfetched
0
Evicted Unfetched
0
Connections
Current
3 / 1 024 max
Total
57 820
Rejected
0
llm:cbea91a1b15ff147eab797cfef60345e9d2f2f44093506d367f5f0f68b131ec0
Edit
```json
{
"classifications": [
{"column": "Model", "label": "primary_key", "confidence": 0.99, "reason": "99.86% distinct (3569/3574), zero nulls, identifies AI models uniquely"},
{"column": "Domain", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 179 distinct values, describes model domain"},
{"column": "Task", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 928 distinct values, describes model task"},
{"column": "Organization", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 1315 distinct values, describes organization"},
{"column": "Authors", "label": "none", "confidence": 1.0, "reason": "Text attribute with 2093 distinct values, lists authors"},
{"column": "Publication date", "label": "none", "confidence": 1.0, "reason": "Date attribute with 1731 distinct values, 0.48% nulls"},
{"column": "Reference", "label": "none", "confidence": 1.0, "reason": "Text attribute with 2699 distinct values, contains references"},
{"column": "Link", "label": "none", "confidence": 1.0, "reason": "Text attribute with 2899 distinct values, contains URLs"},
{"column": "Citations", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 804 distinct values, 58.4% nulls"},
{"column": "Notability criteria", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 42 distinct values"},
{"column": "Notability criteria notes", "label": "none", "confidence": 1.0, "reason": "Text attribute with 792 distinct values, contains notes"},
{"column": "Parameters", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 959 distinct values, 35% nulls"},
{"column": "Parameters notes", "label": "none", "confidence": 1.0, "reason": "Text attribute with 1480 distinct values, contains notes"},
{"column": "Training compute (FLOP)", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 1262 distinct values, 60.8% nulls"},
{"column": "Training compute notes", "label": "none", "confidence": 1.0, "reason": "Text attribute with 1591 distinct values, contains notes"},
{"column": "Training dataset size (total)", "label": "none", "confidence": 1.0, "reason": "Text/numeric attribute with 837 distinct values"},
{"column": "Dataset size notes", "label": "none", "confidence": 1.0, "reason": "Text attribute with 1551 distinct values, contains notes"},
{"column": "Training time (hours)", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 235 distinct values, 84.5% nulls"},
{"column": "Training time notes", "label": "none", "confidence": 1.0, "reason": "Text attribute with 568 distinct values, contains notes"},
{"column": "Training hardware", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 146 distinct values"},
{"column": "Approach", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 8 distinct values"},
{"column": "Confidence", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 5 distinct values"},
{"column": "Abstract", "label": "none", "confidence": 1.0, "reason": "Text attribute with 2503 distinct values, contains abstracts"},
{"column": "Epochs", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 197 distinct values, 77.4% nulls"},
{"column": "WikiText and Penn Treebank data", "label": "none", "confidence": 1.0, "reason": "Text attribute with 404 distinct values, appears to be benchmark data"},
{"column": "Model accessibility", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 7 distinct values"},
{"column": "Country (of organization)", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 382 distinct values"},
{"column": "Base model", "label": "foreign_key", "confidence": 0.85, "reason": "References other models with 346 distinct values, likely joins to Model column"},
{"column": "Finetune compute (FLOP)", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 248 distinct values, 92.7% nulls"},
{"column": "Finetune compute notes", "label": "none", "confidence": 1.0, "reason": "Text attribute with 295 distinct values, contains notes"},
{"column": "Hardware quantity", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 76 distinct values, 76.4% nulls"},
{"column": "Hardware utilization (MFU)", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 54 distinct values, 98.3% nulls"},
{"column": "Last modified", "label": "none", "confidence": 1.0, "reason": "Timestamp attribute with 362 distinct values, metadata field"},
{"column": "Training cloud compute vendor", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 14 distinct values"},
{"column": "Training data center", "label": "none", "confidence": 1.0, "reason": "Text attribute with 37 distinct values"},
{"column": "Archived links", "label": "none", "confidence": 1.0, "reason": "Text attribute with 25 distinct values"},
{"column": "Batch size", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 95 distinct values, 93% nulls"},
{"column": "Batch size notes", "label": "none", "confidence": 1.0, "reason": "Text attribute with 154 distinct values, contains notes"},
{"column": "Organization categorization", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 128 distinct values"},
{"column": "Foundation model", "label": "none", "confidence": 1.0, "reason": "Boolean flag with 1 distinct value, 97.8% nulls"},
{"column": "Training compute lower bound", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 25 distinct values, 99.3% nulls"},
{"column": "Training compute upper bound", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 35 distinct values, 98.8% nulls"},
{"column": "Training chip-hours", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 183 distinct values, 94% nulls"},
{"column": "Training code accessibility", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 5 distinct values"},
{"column": "Accessibility notes", "label": "none", "confidence": 1.0, "reason": "Text attribute with 1558 distinct values, contains notes"},
{"column": "Possibly over 1e23 FLOP", "label": "none", "confidence": 1.0, "reason": "Boolean flag with 1 distinct value, 85.4% nulls"},
{"column": "Training compute cost (2023 USD)", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 222 distinct values, 93.7% nulls"},
{"column": "Utilization notes", "label": "none", "confidence": 1.0, "reason": "Text attribute with 85 distinct values, contains notes"},
{"column": "Numerical format", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 8 distinct values"},
{"column": "Frontier model", "label": "none", "confidence": 1.0, "reason": "Boolean flag with 1 distinct value, 96.2% nulls"},
{"column": "Training power draw (W)", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 671 distinct values, 78.4% nulls"},
{"column": "Training compute estimation method", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 39 distinct values"},
{"column": "Hugging Face developer id", "label": "none", "confidence": 1.0, "reason": "Categorical attribute with 196 distinct values"},
{"column": "Post-training compute (FLOP)", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 1 distinct value, 99.97% nulls"},
{"column": "Post-training compute notes", "label": "none", "confidence": 1.0, "reason": "Text attribute with 2 distinct values, contains notes"},
{"column": "Hardware utilization (HFU)", "label": "none", "confidence": 1.0, "reason": "Numeric metric with 22 distinct values, 99.3% nulls"},
{"column": "Open model weights?", "label": "none", "confidence": 1.0, "reason": "Boolean attribute with 2 distinct values, 24.3% nulls"}
]
}
```