PHPMem v2.0.1

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1.6.45
Uptime
15 days 9 hours 56 minutes 43 seconds

Memory

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512MB
Used
24,01MB (4.69%)
Free
487,99MB

Keys

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27 650
Total (since start)
33 978
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0
Reclaimed
160
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0
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0

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12 / 1 024 max
Total
170 880
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0
llm:e30e02beb517ec1c336231887e61dba4b954b0d8969050d2eba772e3515e5329
TTL 5 days 19 hours 8 minutes 39 seconds Size 6,49KB Export
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```json { "sentences": [ { "sid": 1, "non_factual": "heading", "claims": [] }, { "sid": 2, "non_factual": "heading", "claims": [] }, { "sid": 3, "non_factual": null, "claims": [ { "quote": "0 nulls", "occurrence": 0, "sids": [3], "kind": "value", "labels": [], "measure": "sepal_length", "aggregation": "count", "value_literal": "0", "unit": "nulls", "comparator": null, "rank": null, "filter": null, "denominator": null, "binding": { "ref": "E1", "columns": ["sepal_length_nulls"] } } ] }, { "sid": 4, "non_factual": null, "claims": [ { "quote": "0 nulls", "occurrence": 0, "sids": [4], "kind": "value", "labels": [], "measure": "sepal_width", "aggregation": "count", "value_literal": "0", "unit": "nulls", "comparator": null, "rank": null, "filter": null, "denominator": null, "binding": { "ref": "E1", "columns": ["sepal_width_nulls"] } } ] }, { "sid": 5, "non_factual": null, "claims": [ { "quote": "0 nulls", "occurrence": 0, "sids": [5], "kind": "value", "labels": [], "measure": "petal_length", "aggregation": "count", "value_literal": "0", "unit": "nulls", "comparator": null, "rank": null, "filter": null, "denominator": null, "binding": { "ref": "E1", "columns": ["petal_length_nulls"] } } ] }, { "sid": 6, "non_factual": null, "claims": [ { "quote": "0 nulls", "occurrence": 0, "sids": [6], "kind": "value", "labels": [], "measure": "petal_width", "aggregation": "count", "value_literal": "0", "unit": "nulls", "comparator": null, "rank": null, "filter": null, "denominator": null, "binding": { "ref": "E1", "columns": ["petal_width_nulls"] } } ] }, { "sid": 7, "non_factual": null, "claims": [ { "quote": "0 nulls", "occurrence": 0, "sids": [7], "kind": "value", "labels": [], "measure": "species", "aggregation": "count", "value_literal": "0", "unit": "nulls", "comparator": null, "rank": null, "filter": null, "denominator": null, "binding": { "ref": "E1", "columns": ["species_nulls"] } } ] }, { "sid": 8, "non_factual": null, "claims": [ { "quote": "150 rows", "occurrence": 0, "sids": [8], "kind": "count", "labels": [], "measure": null, "aggregation": "count", "value_literal": "150", "unit": "rows", "comparator": null, "rank": null, "filter": null, "denominator": null, "binding": { "ref": "E1", "columns": ["total_rows"] } } ] }, { "sid": 9, "non_factual": "heading", "claims": [] }, { "sid": 10, "non_factual": null, "claims": [ { "quote": "2 rows", "occurrence": 0, "sids": [10], "kind": "count", "labels": [], "measure": null, "aggregation": "count", "value_literal": "2", "unit": "rows", "comparator": null, "rank": null, "filter": null, "denominator": null, "binding": { "ref": "E1", "columns": ["total_duplicate_rows"] } } ] }, { "sid": 11, "non_factual": null, "claims": [ { "quote": "1.3%", "occurrence": 0, "sids": [11], "kind": "value", "labels": [], "measure": null, "aggregation": "percent", "value_literal": "1.3%", "unit": null, "comparator": null, "rank": null, "filter": null, "denominator": "dataset", "binding": null } ] }, { "sid": 12, "non_factual": null, "claims": [ { "quote": "The same flower specimen recorded twice", "occurrence": 0, "sids": [12], "kind": "interpretation", "labels": [], "measure": null, "aggregation": null, "value_literal": null, "unit": null, "comparator": null, "rank": null, "filter": null, "denominator": null, "binding": null } ] }, { "sid": 13, "non_factual": null, "claims": [ { "quote": "Two distinct flowers with identical measurements", "occurrence": 0, "sids": [13], "kind": "interpretation", "labels": [], "measure": null, "aggregation": null, "value_literal": null, "unit": null, "comparator": null, "rank": null, "filter": null, "denominator": null, "binding": null } ] }, { "sid": 14, "non_factual": null, "claims": [ { "quote": "For machine learning applications using this dataset, you may want to remove duplicates to avoid giving extra weight to these particular measurements during model training.", "occurrence": 0, "sids": [14], "kind": "interpretation", "labels": [], "measure": null, "aggregation": null, "value_literal": null, "unit": null, "comparator": null, "rank": null, "filter": null, "denominator": null, "binding": null } ] } ] } ```