variant stringclasses 3
values | prompt stringlengths 216 286 | query stringlengths 168 299 | metadata unknown | id stringlengths 28 28 | split stringclasses 1
value |
|---|---|---|---|---|---|
v3 | Sensor network script:
Node: frost | code: gst | fields: unit, ts, lat, value
Sensor: rainfall | fields: qc, type, value, reading
Task: Fetch depth from frost where reading is greater than the total of depth in rainfall for matching depth.
Script: | readings = fetch(
node=Node("frost", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "depth",
source=Probe("rainfall", code="rnfl"),
match="depth"),
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020800 | train |
v1 | Sensor network script:
Node: humidity | code: mst | fields: depth, lat, value, qc
Sensor: visibility | fields: unit, qc, level, lon
Task: Retrieve level from humidity whose qc is found in visibility records where unit matches the outer node.
Script: | readings = fetch(
node=Node("humidity", code="mst"),
filter=set_member(
field="qc",
source=Probe("visibility", code="clr"),
match="unit",
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "visibility",
"outer_alias": "mst",
"inner_alias": "clr",
"proj_col": "level",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020801 | train |
v1 | Sensor network script:
Node: temperature | code: ref | fields: type, reading, qc, lat
Sensor: evaporation | fields: qc, ts, lon, value
Task: Retrieve level from temperature whose type is found in evaporation records where unit matches the outer node.
Script: | readings = fetch(
node=Node("temperature", code="ref"),
filter=set_member(
field="type",
source=Probe("evaporation", code="evp"),
match="unit",
),
output="level",
) | {
"outer_table": "temperature",
"inner_table": "evaporation",
"outer_alias": "ref",
"inner_alias": "evp",
"proj_col": "level",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020802 | train |
v1 | Sensor network script:
Node: uv_index | code: ref | fields: unit, lat, qc, reading
Sensor: visibility | fields: lon, lat, type, ts
Task: Retrieve value from uv_index whose qc is found in visibility records where unit matches the outer node.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=set_member(
field="qc",
source=Probe("visibility", code="clr"),
match="unit",
),
output="value",
) | {
"outer_table": "uv_index",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "value",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020803 | train |
v3 | Sensor network script:
Node: drought_index | code: thr | fields: level, lon, value, unit
Sensor: humidity | fields: value, ts, depth, lat
Task: Retrieve depth from drought_index with value above the COUNT(depth) of humidity readings sharing the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "depth",
source=Probe("humidity", code="hgr"),
match="ts"),
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020804 | train |
v1 | Sensor network script:
Node: temperature | code: prt | fields: unit, qc, type, ts
Sensor: wind_speed | fields: lat, value, unit, depth
Task: Fetch lat from temperature where depth exists in wind_speed sensor data for the same ts.
Script: | readings = fetch(
node=Node("temperature", code="prt"),
filter=set_member(
field="depth",
source=Probe("wind_speed", code="gst"),
match="ts",
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020805 | train |
v3 | Sensor network script:
Node: visibility | code: clr | fields: lon, lat, value, reading
Sensor: lightning | fields: depth, ts, reading, level
Task: Get lon from visibility where reading exceeds the count of depth from lightning for the same unit.
Script: | readings = fetch(
node=Node("visibility", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "depth",
source=Probe("lightning", code="tnd"),
match="unit"),
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "lightning",
"outer_alias": "clr",
"inner_alias": "tnd",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020806 | train |
v2 | Sensor network script:
Node: temperature | code: stn | fields: level, type, lat, value
Sensor: evaporation | fields: reading, level, value, type
Task: Fetch reading from temperature that have at least one corresponding evaporation measurement for the same unit.
Script: | readings = fetch(
node=Node("temperature", code="stn"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="unit",
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "evaporation",
"outer_alias": "stn",
"inner_alias": "evp",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020807 | train |
v3 | Sensor network script:
Node: drought_index | code: stn | fields: unit, lat, level, reading
Sensor: dew_point | fields: lat, ts, type, value
Task: Retrieve reading from drought_index with reading above the MAX(value) of dew_point readings sharing the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "value",
source=Probe("dew_point", code="cnd"),
match="qc"),
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "dew_point",
"outer_alias": "stn",
"inner_alias": "cnd",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020808 | train |
v3 | Sensor network script:
Node: lightning | code: mst | fields: lon, unit, reading, level
Sensor: wind_speed | fields: value, ts, qc, depth
Task: Get lon from lightning where reading exceeds the average reading from wind_speed for the same type.
Script: | readings = fetch(
node=Node("lightning", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "reading",
source=Probe("wind_speed", code="gst"),
match="type"),
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "wind_speed",
"outer_alias": "mst",
"inner_alias": "gst",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020809 | train |
v3 | Sensor network script:
Node: cloud_cover | code: hub | fields: level, lat, type, depth
Sensor: lightning | fields: ts, type, lat, depth
Task: Get level from cloud_cover where value exceeds the average value from lightning for the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "value",
source=Probe("lightning", code="tnd"),
match="unit"),
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "tnd",
"proj_col": "level",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020810 | train |
v3 | Sensor network script:
Node: humidity | code: hub | fields: reading, qc, lon, depth
Sensor: turbidity | fields: value, lon, ts, type
Task: Fetch lon from humidity where depth is greater than the maximum of reading in turbidity for matching depth.
Script: | readings = fetch(
node=Node("humidity", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "reading",
source=Probe("turbidity", code="ftu"),
match="depth"),
),
output="lon",
) | {
"outer_table": "humidity",
"inner_table": "turbidity",
"outer_alias": "hub",
"inner_alias": "ftu",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020811 | train |
v2 | Sensor network script:
Node: air_quality | code: ref | fields: reading, depth, qc, lon
Sensor: frost | fields: lon, level, depth, qc
Task: Retrieve level from air_quality that have at least one matching reading in frost sharing the same type.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=has_match(
source=Probe("frost", code="frs"),
match="type",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "frost",
"outer_alias": "ref",
"inner_alias": "frs",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020812 | train |
v1 | Sensor network script:
Node: snow_depth | code: gst | fields: reading, lat, value, level
Sensor: pressure | fields: level, value, type, lon
Task: Retrieve lon from snow_depth whose unit is found in pressure records where qc matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="gst"),
filter=set_member(
field="unit",
source=Probe("pressure", code="mbl"),
match="qc",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020813 | train |
v2 | Sensor network script:
Node: cloud_cover | code: hub | fields: reading, lon, lat, unit
Sensor: turbidity | fields: lon, type, reading, unit
Task: Get reading from cloud_cover where a corresponding entry exists in turbidity with the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "turbidity",
"outer_alias": "hub",
"inner_alias": "ftu",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020814 | train |
v1 | Sensor network script:
Node: cloud_cover | code: hub | fields: lat, qc, type, lon
Sensor: evaporation | fields: qc, unit, reading, ts
Task: Get lat from cloud_cover where ts appears in evaporation readings with matching qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=set_member(
field="ts",
source=Probe("evaporation", code="evp"),
match="qc",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020815 | train |
v1 | Sensor network script:
Node: snow_depth | code: hub | fields: qc, level, type, lon
Sensor: rainfall | fields: lon, depth, unit, qc
Task: Get lon from snow_depth where type appears in rainfall readings with matching unit.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=set_member(
field="type",
source=Probe("rainfall", code="rnfl"),
match="unit",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "rainfall",
"outer_alias": "hub",
"inner_alias": "rnfl",
"proj_col": "lon",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020816 | train |
v1 | Sensor network script:
Node: turbidity | code: clr | fields: lon, depth, value, unit
Sensor: drought_index | fields: value, type, qc, depth
Task: Retrieve depth from turbidity whose ts is found in drought_index records where unit matches the outer node.
Script: | readings = fetch(
node=Node("turbidity", code="clr"),
filter=set_member(
field="ts",
source=Probe("drought_index", code="drt"),
match="unit",
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "drought_index",
"outer_alias": "clr",
"inner_alias": "drt",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020817 | train |
v2 | Sensor network script:
Node: drought_index | code: stn | fields: depth, type, qc, ts
Sensor: humidity | fields: ts, value, level, lat
Task: Retrieve level from drought_index that have at least one matching reading in humidity sharing the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="ts",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "humidity",
"outer_alias": "stn",
"inner_alias": "hgr",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020818 | train |
v1 | Sensor network script:
Node: cloud_cover | code: clr | fields: qc, reading, level, type
Sensor: air_quality | fields: unit, qc, type, lat
Task: Get value from cloud_cover where qc appears in air_quality readings with matching ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=set_member(
field="qc",
source=Probe("air_quality", code="prt"),
match="ts",
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "air_quality",
"outer_alias": "clr",
"inner_alias": "prt",
"proj_col": "value",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020819 | train |
v2 | Sensor network script:
Node: uv_index | code: gst | fields: qc, ts, lat, lon
Sensor: drought_index | fields: lat, level, unit, reading
Task: Get lat from uv_index where a corresponding entry exists in drought_index with the same qc.
Script: | readings = fetch(
node=Node("uv_index", code="gst"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="qc",
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "drought_index",
"outer_alias": "gst",
"inner_alias": "drt",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020820 | train |
v3 | Sensor network script:
Node: humidity | code: prt | fields: depth, unit, ts, lon
Sensor: frost | fields: lat, reading, qc, depth
Task: Get reading from humidity where depth exceeds the maximum depth from frost for the same depth.
Script: | readings = fetch(
node=Node("humidity", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "depth",
source=Probe("frost", code="frs"),
match="depth"),
),
output="reading",
) | {
"outer_table": "humidity",
"inner_table": "frost",
"outer_alias": "prt",
"inner_alias": "frs",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020821 | train |
v2 | Sensor network script:
Node: visibility | code: prt | fields: depth, type, unit, reading
Sensor: soil_moisture | fields: unit, qc, ts, level
Task: Retrieve lat from visibility that have at least one matching reading in soil_moisture sharing the same qc.
Script: | readings = fetch(
node=Node("visibility", code="prt"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "soil_moisture",
"outer_alias": "prt",
"inner_alias": "grvl",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020822 | train |
v1 | Sensor network script:
Node: humidity | code: hub | fields: value, qc, unit, reading
Sensor: turbidity | fields: unit, lat, qc, ts
Task: Get reading from humidity where depth appears in turbidity readings with matching depth.
Script: | readings = fetch(
node=Node("humidity", code="hub"),
filter=set_member(
field="depth",
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="reading",
) | {
"outer_table": "humidity",
"inner_table": "turbidity",
"outer_alias": "hub",
"inner_alias": "ftu",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020823 | train |
v2 | Sensor network script:
Node: evaporation | code: ref | fields: qc, level, unit, type
Sensor: turbidity | fields: value, unit, lat, type
Task: Fetch depth from evaporation that have at least one corresponding turbidity measurement for the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="depth",
) | {
"outer_table": "evaporation",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020824 | train |
v2 | Sensor network script:
Node: temperature | code: ref | fields: depth, reading, lon, type
Sensor: air_quality | fields: lon, unit, level, reading
Task: Get depth from temperature where a corresponding entry exists in air_quality with the same depth.
Script: | readings = fetch(
node=Node("temperature", code="ref"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="depth",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020825 | train |
v2 | Sensor network script:
Node: sunlight | code: gst | fields: type, unit, depth, value
Sensor: visibility | fields: unit, type, level, qc
Task: Retrieve value from sunlight that have at least one matching reading in visibility sharing the same ts.
Script: | readings = fetch(
node=Node("sunlight", code="gst"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="ts",
),
output="value",
) | {
"outer_table": "sunlight",
"inner_table": "visibility",
"outer_alias": "gst",
"inner_alias": "clr",
"proj_col": "value",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020826 | train |
v2 | Sensor network script:
Node: rainfall | code: thr | fields: type, value, reading, qc
Sensor: turbidity | fields: lon, ts, unit, lat
Task: Fetch reading from rainfall that have at least one corresponding turbidity measurement for the same unit.
Script: | readings = fetch(
node=Node("rainfall", code="thr"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="reading",
) | {
"outer_table": "rainfall",
"inner_table": "turbidity",
"outer_alias": "thr",
"inner_alias": "ftu",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020827 | train |
v2 | Sensor network script:
Node: temperature | code: hub | fields: value, lat, ts, lon
Sensor: air_quality | fields: reading, depth, lat, value
Task: Get reading from temperature where a corresponding entry exists in air_quality with the same unit.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="unit",
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020828 | train |
v3 | Sensor network script:
Node: rainfall | code: ref | fields: qc, depth, lat, reading
Sensor: air_quality | fields: depth, qc, lon, type
Task: Retrieve value from rainfall with value above the COUNT(value) of air_quality readings sharing the same ts.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "value",
source=Probe("air_quality", code="prt"),
match="ts"),
),
output="value",
) | {
"outer_table": "rainfall",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "value",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020829 | train |
v3 | Sensor network script:
Node: evaporation | code: ref | fields: reading, lat, lon, value
Sensor: rainfall | fields: lat, depth, qc, reading
Task: Retrieve depth from evaporation with depth above the SUM(value) of rainfall readings sharing the same ts.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "value",
source=Probe("rainfall", code="rnfl"),
match="ts"),
),
output="depth",
) | {
"outer_table": "evaporation",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020830 | train |
v3 | Sensor network script:
Node: evaporation | code: clr | fields: type, lon, depth, lat
Sensor: frost | fields: ts, depth, qc, value
Task: Retrieve value from evaporation with reading above the MAX(depth) of frost readings sharing the same type.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("frost", code="frs"),
match="type"),
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "frost",
"outer_alias": "clr",
"inner_alias": "frs",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020831 | train |
v1 | Sensor network script:
Node: uv_index | code: prt | fields: level, lat, type, reading
Sensor: wind_speed | fields: type, ts, lon, reading
Task: Get reading from uv_index where qc appears in wind_speed readings with matching unit.
Script: | readings = fetch(
node=Node("uv_index", code="prt"),
filter=set_member(
field="qc",
source=Probe("wind_speed", code="gst"),
match="unit",
),
output="reading",
) | {
"outer_table": "uv_index",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020832 | train |
v1 | Sensor network script:
Node: air_quality | code: thr | fields: qc, lon, ts, unit
Sensor: cloud_cover | fields: qc, type, ts, unit
Task: Fetch depth from air_quality where unit exists in cloud_cover sensor data for the same ts.
Script: | readings = fetch(
node=Node("air_quality", code="thr"),
filter=set_member(
field="unit",
source=Probe("cloud_cover", code="nbl"),
match="ts",
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "cloud_cover",
"outer_alias": "thr",
"inner_alias": "nbl",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020833 | train |
v1 | Sensor network script:
Node: dew_point | code: clr | fields: value, lat, level, depth
Sensor: lightning | fields: type, unit, depth, level
Task: Retrieve value from dew_point whose type is found in lightning records where unit matches the outer node.
Script: | readings = fetch(
node=Node("dew_point", code="clr"),
filter=set_member(
field="type",
source=Probe("lightning", code="tnd"),
match="unit",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "lightning",
"outer_alias": "clr",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020834 | train |
v1 | Sensor network script:
Node: rainfall | code: prt | fields: qc, level, ts, reading
Sensor: humidity | fields: lat, value, type, ts
Task: Get lat from rainfall where depth appears in humidity readings with matching type.
Script: | readings = fetch(
node=Node("rainfall", code="prt"),
filter=set_member(
field="depth",
source=Probe("humidity", code="hgr"),
match="type",
),
output="lat",
) | {
"outer_table": "rainfall",
"inner_table": "humidity",
"outer_alias": "prt",
"inner_alias": "hgr",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020835 | train |
v3 | Sensor network script:
Node: sunlight | code: ref | fields: qc, depth, lon, value
Sensor: drought_index | fields: unit, reading, type, lat
Task: Retrieve lon from sunlight with depth above the MAX(reading) of drought_index readings sharing the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "reading",
source=Probe("drought_index", code="drt"),
match="qc"),
),
output="lon",
) | {
"outer_table": "sunlight",
"inner_table": "drought_index",
"outer_alias": "ref",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020836 | train |
v2 | Sensor network script:
Node: dew_point | code: stn | fields: type, lat, reading, qc
Sensor: snow_depth | fields: value, unit, depth, ts
Task: Retrieve lat from dew_point that have at least one matching reading in snow_depth sharing the same unit.
Script: | readings = fetch(
node=Node("dew_point", code="stn"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="unit",
),
output="lat",
) | {
"outer_table": "dew_point",
"inner_table": "snow_depth",
"outer_alias": "stn",
"inner_alias": "snw",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020837 | train |
v3 | Sensor network script:
Node: snow_depth | code: ref | fields: qc, lon, unit, lat
Sensor: lightning | fields: depth, reading, ts, unit
Task: Fetch lat from snow_depth where reading is greater than the count of of depth in lightning for matching unit.
Script: | readings = fetch(
node=Node("snow_depth", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "depth",
source=Probe("lightning", code="tnd"),
match="unit"),
),
output="lat",
) | {
"outer_table": "snow_depth",
"inner_table": "lightning",
"outer_alias": "ref",
"inner_alias": "tnd",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020838 | train |
v1 | Sensor network script:
Node: lightning | code: gst | fields: lat, reading, qc, lon
Sensor: air_quality | fields: value, qc, type, unit
Task: Retrieve lon from lightning whose depth is found in air_quality records where ts matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="gst"),
filter=set_member(
field="depth",
source=Probe("air_quality", code="prt"),
match="ts",
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "air_quality",
"outer_alias": "gst",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020839 | train |
v1 | Sensor network script:
Node: turbidity | code: prt | fields: value, depth, reading, unit
Sensor: visibility | fields: level, lat, lon, qc
Task: Retrieve lon from turbidity whose unit is found in visibility records where unit matches the outer node.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=set_member(
field="unit",
source=Probe("visibility", code="clr"),
match="unit",
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "visibility",
"outer_alias": "prt",
"inner_alias": "clr",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020840 | train |
v2 | Sensor network script:
Node: visibility | code: ref | fields: depth, type, unit, qc
Sensor: soil_moisture | fields: depth, unit, lat, type
Task: Get lon from visibility where a corresponding entry exists in soil_moisture with the same unit.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="unit",
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "soil_moisture",
"outer_alias": "ref",
"inner_alias": "grvl",
"proj_col": "lon",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020841 | train |
v2 | Sensor network script:
Node: frost | code: ref | fields: depth, unit, level, value
Sensor: pressure | fields: qc, lat, level, value
Task: Fetch reading from frost that have at least one corresponding pressure measurement for the same ts.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="ts",
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "pressure",
"outer_alias": "ref",
"inner_alias": "mbl",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020842 | train |
v3 | Sensor network script:
Node: drought_index | code: hub | fields: unit, level, type, ts
Sensor: frost | fields: value, ts, type, reading
Task: Fetch value from drought_index where value is greater than the count of of value in frost for matching depth.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "value",
source=Probe("frost", code="frs"),
match="depth"),
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "value",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020843 | train |
v3 | Sensor network script:
Node: turbidity | code: gst | fields: type, depth, lat, ts
Sensor: pressure | fields: type, lon, level, ts
Task: Get depth from turbidity where reading exceeds the count of reading from pressure for the same ts.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "reading",
source=Probe("pressure", code="mbl"),
match="ts"),
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020844 | train |
v2 | Sensor network script:
Node: snow_depth | code: prt | fields: value, depth, qc, type
Sensor: dew_point | fields: value, lon, lat, depth
Task: Retrieve lon from snow_depth that have at least one matching reading in dew_point sharing the same ts.
Script: | readings = fetch(
node=Node("snow_depth", code="prt"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="ts",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "dew_point",
"outer_alias": "prt",
"inner_alias": "cnd",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020845 | train |
v1 | Sensor network script:
Node: wind_speed | code: hub | fields: level, qc, lat, depth
Sensor: drought_index | fields: level, value, reading, lat
Task: Get value from wind_speed where type appears in drought_index readings with matching type.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=set_member(
field="type",
source=Probe("drought_index", code="drt"),
match="type",
),
output="value",
) | {
"outer_table": "wind_speed",
"inner_table": "drought_index",
"outer_alias": "hub",
"inner_alias": "drt",
"proj_col": "value",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020846 | train |
v1 | Sensor network script:
Node: rainfall | code: prt | fields: qc, ts, depth, value
Sensor: wind_speed | fields: depth, ts, type, value
Task: Retrieve level from rainfall whose ts is found in wind_speed records where depth matches the outer node.
Script: | readings = fetch(
node=Node("rainfall", code="prt"),
filter=set_member(
field="ts",
source=Probe("wind_speed", code="gst"),
match="depth",
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "level",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020847 | train |
v2 | Sensor network script:
Node: temperature | code: ref | fields: reading, lat, value, level
Sensor: sunlight | fields: depth, unit, type, lon
Task: Retrieve value from temperature that have at least one matching reading in sunlight sharing the same type.
Script: | readings = fetch(
node=Node("temperature", code="ref"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="type",
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020848 | train |
v1 | Sensor network script:
Node: snow_depth | code: hub | fields: level, unit, value, ts
Sensor: wind_speed | fields: value, type, lon, level
Task: Fetch depth from snow_depth where unit exists in wind_speed sensor data for the same type.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=set_member(
field="unit",
source=Probe("wind_speed", code="gst"),
match="type",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "wind_speed",
"outer_alias": "hub",
"inner_alias": "gst",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020849 | train |
v2 | Sensor network script:
Node: visibility | code: ref | fields: qc, lon, ts, reading
Sensor: temperature | fields: depth, level, lat, type
Task: Get lon from visibility where a corresponding entry exists in temperature with the same ts.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="ts",
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "thr",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020850 | train |
v3 | Sensor network script:
Node: snow_depth | code: stn | fields: ts, reading, lat, unit
Sensor: pressure | fields: depth, qc, unit, reading
Task: Fetch level from snow_depth where value is greater than the maximum of reading in pressure for matching depth.
Script: | readings = fetch(
node=Node("snow_depth", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("pressure", code="mbl"),
match="depth"),
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "pressure",
"outer_alias": "stn",
"inner_alias": "mbl",
"proj_col": "level",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020851 | train |
v1 | Sensor network script:
Node: lightning | code: hub | fields: qc, level, depth, value
Sensor: dew_point | fields: unit, level, reading, lon
Task: Fetch reading from lightning where unit exists in dew_point sensor data for the same qc.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=set_member(
field="unit",
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "dew_point",
"outer_alias": "hub",
"inner_alias": "cnd",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020852 | train |
v3 | Sensor network script:
Node: temperature | code: clr | fields: unit, level, lat, type
Sensor: pressure | fields: lon, unit, reading, type
Task: Retrieve depth from temperature with value above the MIN(depth) of pressure readings sharing the same type.
Script: | readings = fetch(
node=Node("temperature", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "depth",
source=Probe("pressure", code="mbl"),
match="type"),
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "pressure",
"outer_alias": "clr",
"inner_alias": "mbl",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020853 | train |
v3 | Sensor network script:
Node: snow_depth | code: prt | fields: lat, value, depth, type
Sensor: sunlight | fields: reading, level, ts, depth
Task: Retrieve reading from snow_depth with depth above the AVG(value) of sunlight readings sharing the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("sunlight", code="brt"),
match="qc"),
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "sunlight",
"outer_alias": "prt",
"inner_alias": "brt",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020854 | train |
v3 | Sensor network script:
Node: visibility | code: gst | fields: type, lon, ts, level
Sensor: frost | fields: lat, qc, ts, lon
Task: Fetch depth from visibility where reading is greater than the total of depth in frost for matching type.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "depth",
source=Probe("frost", code="frs"),
match="type"),
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "frost",
"outer_alias": "gst",
"inner_alias": "frs",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020855 | train |
v3 | Sensor network script:
Node: dew_point | code: prt | fields: type, ts, qc, value
Sensor: snow_depth | fields: type, ts, unit, lon
Task: Fetch depth from dew_point where reading is greater than the average of value in snow_depth for matching qc.
Script: | readings = fetch(
node=Node("dew_point", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "value",
source=Probe("snow_depth", code="snw"),
match="qc"),
),
output="depth",
) | {
"outer_table": "dew_point",
"inner_table": "snow_depth",
"outer_alias": "prt",
"inner_alias": "snw",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020856 | train |
v3 | Sensor network script:
Node: air_quality | code: gst | fields: ts, lat, level, type
Sensor: soil_moisture | fields: unit, value, level, lat
Task: Fetch depth from air_quality where reading is greater than the average of depth in soil_moisture for matching depth.
Script: | readings = fetch(
node=Node("air_quality", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("soil_moisture", code="grvl"),
match="depth"),
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "soil_moisture",
"outer_alias": "gst",
"inner_alias": "grvl",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020857 | train |
v2 | Sensor network script:
Node: lightning | code: ref | fields: lat, reading, depth, unit
Sensor: drought_index | fields: ts, lat, reading, value
Task: Fetch reading from lightning that have at least one corresponding drought_index measurement for the same qc.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="qc",
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "drought_index",
"outer_alias": "ref",
"inner_alias": "drt",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020858 | train |
v1 | Sensor network script:
Node: snow_depth | code: hub | fields: unit, lon, value, ts
Sensor: air_quality | fields: qc, value, lat, level
Task: Retrieve lon from snow_depth whose ts is found in air_quality records where ts matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=set_member(
field="ts",
source=Probe("air_quality", code="prt"),
match="ts",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020859 | train |
v1 | Sensor network script:
Node: pressure | code: ref | fields: lat, ts, lon, qc
Sensor: cloud_cover | fields: lon, reading, qc, depth
Task: Get lat from pressure where depth appears in cloud_cover readings with matching type.
Script: | readings = fetch(
node=Node("pressure", code="ref"),
filter=set_member(
field="depth",
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="lat",
) | {
"outer_table": "pressure",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020860 | train |
v1 | Sensor network script:
Node: rainfall | code: mst | fields: type, unit, ts, qc
Sensor: uv_index | fields: unit, depth, lon, value
Task: Fetch lon from rainfall where type exists in uv_index sensor data for the same type.
Script: | readings = fetch(
node=Node("rainfall", code="mst"),
filter=set_member(
field="type",
source=Probe("uv_index", code="flx"),
match="type",
),
output="lon",
) | {
"outer_table": "rainfall",
"inner_table": "uv_index",
"outer_alias": "mst",
"inner_alias": "flx",
"proj_col": "lon",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020861 | train |
v2 | Sensor network script:
Node: sunlight | code: stn | fields: reading, lon, qc, ts
Sensor: humidity | fields: value, qc, depth, lon
Task: Fetch depth from sunlight that have at least one corresponding humidity measurement for the same unit.
Script: | readings = fetch(
node=Node("sunlight", code="stn"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="unit",
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "humidity",
"outer_alias": "stn",
"inner_alias": "hgr",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020862 | train |
v3 | Sensor network script:
Node: evaporation | code: hub | fields: reading, ts, lon, value
Sensor: lightning | fields: type, unit, value, lon
Task: Get reading from evaporation where reading exceeds the maximum reading from lightning for the same unit.
Script: | readings = fetch(
node=Node("evaporation", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "reading",
source=Probe("lightning", code="tnd"),
match="unit"),
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "tnd",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020863 | train |
v2 | Sensor network script:
Node: cloud_cover | code: hub | fields: ts, lat, value, type
Sensor: lightning | fields: type, ts, unit, reading
Task: Get reading from cloud_cover where a corresponding entry exists in lightning with the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="unit",
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "tnd",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020864 | train |
v3 | Sensor network script:
Node: cloud_cover | code: hub | fields: value, lon, qc, depth
Sensor: evaporation | fields: qc, value, ts, level
Task: Fetch depth from cloud_cover where value is greater than the minimum of value in evaporation for matching qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "value",
source=Probe("evaporation", code="evp"),
match="qc"),
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020865 | train |
v2 | Sensor network script:
Node: humidity | code: thr | fields: type, unit, lat, ts
Sensor: dew_point | fields: lat, reading, unit, depth
Task: Retrieve reading from humidity that have at least one matching reading in dew_point sharing the same depth.
Script: | readings = fetch(
node=Node("humidity", code="thr"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="depth",
),
output="reading",
) | {
"outer_table": "humidity",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020866 | train |
v2 | Sensor network script:
Node: dew_point | code: clr | fields: level, value, qc, lat
Sensor: temperature | fields: ts, depth, reading, lat
Task: Fetch depth from dew_point that have at least one corresponding temperature measurement for the same type.
Script: | readings = fetch(
node=Node("dew_point", code="clr"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="type",
),
output="depth",
) | {
"outer_table": "dew_point",
"inner_table": "temperature",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020867 | train |
v1 | Sensor network script:
Node: lightning | code: mst | fields: type, unit, qc, depth
Sensor: rainfall | fields: lon, reading, lat, depth
Task: Fetch lon from lightning where ts exists in rainfall sensor data for the same type.
Script: | readings = fetch(
node=Node("lightning", code="mst"),
filter=set_member(
field="ts",
source=Probe("rainfall", code="rnfl"),
match="type",
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "rainfall",
"outer_alias": "mst",
"inner_alias": "rnfl",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020868 | train |
v2 | Sensor network script:
Node: temperature | code: prt | fields: value, type, qc, lat
Sensor: dew_point | fields: lat, value, depth, level
Task: Retrieve reading from temperature that have at least one matching reading in dew_point sharing the same type.
Script: | readings = fetch(
node=Node("temperature", code="prt"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="type",
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "dew_point",
"outer_alias": "prt",
"inner_alias": "cnd",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020869 | train |
v2 | Sensor network script:
Node: uv_index | code: prt | fields: reading, lat, qc, lon
Sensor: cloud_cover | fields: lon, lat, ts, level
Task: Fetch lon from uv_index that have at least one corresponding cloud_cover measurement for the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="prt"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="lon",
) | {
"outer_table": "uv_index",
"inner_table": "cloud_cover",
"outer_alias": "prt",
"inner_alias": "nbl",
"proj_col": "lon",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020870 | train |
v2 | Sensor network script:
Node: rainfall | code: thr | fields: level, value, unit, type
Sensor: sunlight | fields: level, type, depth, value
Task: Retrieve depth from rainfall that have at least one matching reading in sunlight sharing the same type.
Script: | readings = fetch(
node=Node("rainfall", code="thr"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="type",
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "sunlight",
"outer_alias": "thr",
"inner_alias": "brt",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020871 | train |
v2 | Sensor network script:
Node: sunlight | code: clr | fields: qc, ts, depth, unit
Sensor: evaporation | fields: lat, reading, ts, qc
Task: Retrieve depth from sunlight that have at least one matching reading in evaporation sharing the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="clr"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="qc",
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "evaporation",
"outer_alias": "clr",
"inner_alias": "evp",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020872 | train |
v2 | Sensor network script:
Node: drought_index | code: ref | fields: level, ts, qc, lon
Sensor: wind_speed | fields: lon, qc, lat, value
Task: Get value from drought_index where a corresponding entry exists in wind_speed with the same type.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="type",
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020873 | train |
v2 | Sensor network script:
Node: drought_index | code: ref | fields: value, reading, ts, unit
Sensor: frost | fields: unit, lon, value, qc
Task: Fetch lat from drought_index that have at least one corresponding frost measurement for the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=has_match(
source=Probe("frost", code="frs"),
match="ts",
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "frost",
"outer_alias": "ref",
"inner_alias": "frs",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020874 | train |
v3 | Sensor network script:
Node: humidity | code: mst | fields: level, unit, reading, ts
Sensor: sunlight | fields: qc, level, ts, reading
Task: Retrieve lat from humidity with reading above the MIN(reading) of sunlight readings sharing the same type.
Script: | readings = fetch(
node=Node("humidity", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "reading",
source=Probe("sunlight", code="brt"),
match="type"),
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "sunlight",
"outer_alias": "mst",
"inner_alias": "brt",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020875 | train |
v2 | Sensor network script:
Node: sunlight | code: ref | fields: unit, type, ts, lon
Sensor: visibility | fields: lon, value, level, reading
Task: Fetch depth from sunlight that have at least one corresponding visibility measurement for the same type.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="type",
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020876 | train |
v2 | Sensor network script:
Node: snow_depth | code: clr | fields: unit, lat, depth, reading
Sensor: air_quality | fields: depth, qc, value, level
Task: Retrieve reading from snow_depth that have at least one matching reading in air_quality sharing the same type.
Script: | readings = fetch(
node=Node("snow_depth", code="clr"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="type",
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "air_quality",
"outer_alias": "clr",
"inner_alias": "prt",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020877 | train |
v2 | Sensor network script:
Node: dew_point | code: mst | fields: type, depth, level, lon
Sensor: lightning | fields: ts, value, lon, reading
Task: Fetch lat from dew_point that have at least one corresponding lightning measurement for the same ts.
Script: | readings = fetch(
node=Node("dew_point", code="mst"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="ts",
),
output="lat",
) | {
"outer_table": "dew_point",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020878 | train |
v3 | Sensor network script:
Node: evaporation | code: hub | fields: level, depth, qc, lat
Sensor: pressure | fields: reading, value, unit, qc
Task: Fetch depth from evaporation where reading is greater than the count of of value in pressure for matching qc.
Script: | readings = fetch(
node=Node("evaporation", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("pressure", code="mbl"),
match="qc"),
),
output="depth",
) | {
"outer_table": "evaporation",
"inner_table": "pressure",
"outer_alias": "hub",
"inner_alias": "mbl",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020879 | train |
v1 | Sensor network script:
Node: evaporation | code: mst | fields: depth, value, type, lat
Sensor: humidity | fields: qc, lat, level, reading
Task: Retrieve lon from evaporation whose unit is found in humidity records where ts matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="mst"),
filter=set_member(
field="unit",
source=Probe("humidity", code="hgr"),
match="ts",
),
output="lon",
) | {
"outer_table": "evaporation",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020880 | train |
v1 | Sensor network script:
Node: drought_index | code: clr | fields: ts, value, qc, lon
Sensor: uv_index | fields: level, lat, unit, reading
Task: Fetch depth from drought_index where qc exists in uv_index sensor data for the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=set_member(
field="qc",
source=Probe("uv_index", code="flx"),
match="ts",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "uv_index",
"outer_alias": "clr",
"inner_alias": "flx",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020881 | train |
v2 | Sensor network script:
Node: evaporation | code: mst | fields: depth, lat, lon, unit
Sensor: sunlight | fields: reading, qc, ts, type
Task: Get value from evaporation where a corresponding entry exists in sunlight with the same ts.
Script: | readings = fetch(
node=Node("evaporation", code="mst"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="ts",
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "sunlight",
"outer_alias": "mst",
"inner_alias": "brt",
"proj_col": "value",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020882 | train |
v1 | Sensor network script:
Node: dew_point | code: mst | fields: qc, ts, unit, lon
Sensor: cloud_cover | fields: depth, unit, lon, qc
Task: Fetch reading from dew_point where unit exists in cloud_cover sensor data for the same type.
Script: | readings = fetch(
node=Node("dew_point", code="mst"),
filter=set_member(
field="unit",
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="reading",
) | {
"outer_table": "dew_point",
"inner_table": "cloud_cover",
"outer_alias": "mst",
"inner_alias": "nbl",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020883 | train |
v2 | Sensor network script:
Node: snow_depth | code: ref | fields: type, depth, lon, reading
Sensor: wind_speed | fields: value, depth, level, type
Task: Fetch value from snow_depth that have at least one corresponding wind_speed measurement for the same ts.
Script: | readings = fetch(
node=Node("snow_depth", code="ref"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="ts",
),
output="value",
) | {
"outer_table": "snow_depth",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "value",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020884 | train |
v1 | Sensor network script:
Node: frost | code: gst | fields: depth, ts, value, level
Sensor: soil_moisture | fields: lat, reading, lon, ts
Task: Get value from frost where qc appears in soil_moisture readings with matching qc.
Script: | readings = fetch(
node=Node("frost", code="gst"),
filter=set_member(
field="qc",
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "soil_moisture",
"outer_alias": "gst",
"inner_alias": "grvl",
"proj_col": "value",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020885 | train |
v1 | Sensor network script:
Node: soil_moisture | code: ref | fields: level, lon, depth, unit
Sensor: rainfall | fields: depth, unit, value, lon
Task: Get lat from soil_moisture where type appears in rainfall readings with matching qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=set_member(
field="type",
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "rnfl",
"proj_col": "lat",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020886 | train |
v1 | Sensor network script:
Node: drought_index | code: mst | fields: ts, type, value, lon
Sensor: lightning | fields: unit, lat, reading, ts
Task: Fetch lat from drought_index where qc exists in lightning sensor data for the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="mst"),
filter=set_member(
field="qc",
source=Probe("lightning", code="tnd"),
match="ts",
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020887 | train |
v2 | Sensor network script:
Node: drought_index | code: clr | fields: depth, reading, lat, lon
Sensor: snow_depth | fields: ts, lat, reading, lon
Task: Fetch depth from drought_index that have at least one corresponding snow_depth measurement for the same unit.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="unit",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "snow_depth",
"outer_alias": "clr",
"inner_alias": "snw",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020888 | train |
v1 | Sensor network script:
Node: dew_point | code: stn | fields: depth, lon, lat, qc
Sensor: uv_index | fields: depth, level, qc, unit
Task: Fetch depth from dew_point where qc exists in uv_index sensor data for the same unit.
Script: | readings = fetch(
node=Node("dew_point", code="stn"),
filter=set_member(
field="qc",
source=Probe("uv_index", code="flx"),
match="unit",
),
output="depth",
) | {
"outer_table": "dew_point",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020889 | train |
v2 | Sensor network script:
Node: temperature | code: stn | fields: type, ts, depth, reading
Sensor: air_quality | fields: level, depth, value, lat
Task: Get depth from temperature where a corresponding entry exists in air_quality with the same unit.
Script: | readings = fetch(
node=Node("temperature", code="stn"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="unit",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "air_quality",
"outer_alias": "stn",
"inner_alias": "prt",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020890 | train |
v3 | Sensor network script:
Node: frost | code: hub | fields: value, ts, depth, level
Sensor: visibility | fields: qc, level, depth, ts
Task: Get depth from frost where value exceeds the count of value from visibility for the same qc.
Script: | readings = fetch(
node=Node("frost", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "value",
source=Probe("visibility", code="clr"),
match="qc"),
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "visibility",
"outer_alias": "hub",
"inner_alias": "clr",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020891 | train |
v1 | Sensor network script:
Node: temperature | code: stn | fields: lon, qc, lat, ts
Sensor: evaporation | fields: lat, unit, qc, type
Task: Fetch lat from temperature where qc exists in evaporation sensor data for the same depth.
Script: | readings = fetch(
node=Node("temperature", code="stn"),
filter=set_member(
field="qc",
source=Probe("evaporation", code="evp"),
match="depth",
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "evaporation",
"outer_alias": "stn",
"inner_alias": "evp",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020892 | train |
v3 | Sensor network script:
Node: rainfall | code: clr | fields: lon, type, qc, value
Sensor: air_quality | fields: ts, qc, lat, value
Task: Get level from rainfall where reading exceeds the maximum depth from air_quality for the same depth.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("air_quality", code="prt"),
match="depth"),
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "air_quality",
"outer_alias": "clr",
"inner_alias": "prt",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_020893 | train |
v2 | Sensor network script:
Node: dew_point | code: thr | fields: lat, qc, ts, type
Sensor: uv_index | fields: lat, value, level, unit
Task: Fetch value from dew_point that have at least one corresponding uv_index measurement for the same unit.
Script: | readings = fetch(
node=Node("dew_point", code="thr"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="unit",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "uv_index",
"outer_alias": "thr",
"inner_alias": "flx",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020894 | train |
v1 | Sensor network script:
Node: sunlight | code: gst | fields: type, unit, lat, ts
Sensor: lightning | fields: lon, unit, level, depth
Task: Fetch level from sunlight where ts exists in lightning sensor data for the same type.
Script: | readings = fetch(
node=Node("sunlight", code="gst"),
filter=set_member(
field="ts",
source=Probe("lightning", code="tnd"),
match="type",
),
output="level",
) | {
"outer_table": "sunlight",
"inner_table": "lightning",
"outer_alias": "gst",
"inner_alias": "tnd",
"proj_col": "level",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020895 | train |
v1 | Sensor network script:
Node: cloud_cover | code: thr | fields: lat, type, ts, depth
Sensor: humidity | fields: lat, value, depth, level
Task: Fetch level from cloud_cover where qc exists in humidity sensor data for the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="thr"),
filter=set_member(
field="qc",
source=Probe("humidity", code="hgr"),
match="depth",
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020896 | train |
v3 | Sensor network script:
Node: humidity | code: prt | fields: type, lon, reading, ts
Sensor: lightning | fields: depth, value, lat, reading
Task: Retrieve depth from humidity with value above the MAX(value) of lightning readings sharing the same qc.
Script: | readings = fetch(
node=Node("humidity", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "value",
source=Probe("lightning", code="tnd"),
match="qc"),
),
output="depth",
) | {
"outer_table": "humidity",
"inner_table": "lightning",
"outer_alias": "prt",
"inner_alias": "tnd",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020897 | train |
v3 | Sensor network script:
Node: cloud_cover | code: prt | fields: lat, value, qc, reading
Sensor: lightning | fields: depth, reading, lat, value
Task: Fetch reading from cloud_cover where depth is greater than the minimum of depth in lightning for matching type.
Script: | readings = fetch(
node=Node("cloud_cover", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "depth",
source=Probe("lightning", code="tnd"),
match="type"),
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "lightning",
"outer_alias": "prt",
"inner_alias": "tnd",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020898 | train |
v2 | Sensor network script:
Node: air_quality | code: prt | fields: reading, ts, lon, lat
Sensor: lightning | fields: lon, qc, reading, value
Task: Retrieve depth from air_quality that have at least one matching reading in lightning sharing the same type.
Script: | readings = fetch(
node=Node("air_quality", code="prt"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="type",
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "lightning",
"outer_alias": "prt",
"inner_alias": "tnd",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_020899 | train |
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