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variant string | prompt string | query string | metadata unknown | id string | split string |
|---|---|---|---|---|---|
v1 | Sensor network script:
Node: uv_index | code: mst | fields: depth, value, ts, lat
Sensor: air_quality | fields: qc, value, lat, depth
Task: Retrieve lat from uv_index whose type is found in air_quality records where unit matches the outer node.
Script: | readings = fetch(
node=Node("uv_index", code="mst"),
filter=set_member(
field="type",
source=Probe("air_quality", code="clr"),
match="unit",
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "clr",
"proj_col": "lat",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000000 | train |
v2 | Sensor network script:
Node: lightning | code: prt | fields: reading, unit, level, lon
Sensor: temperature | fields: value, ts, type, unit
Task: Get value from lightning where a corresponding entry exists in temperature with the same ts.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=has_match(
source=Probe("temperature", code="mbl"),
match="ts",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "temperature",
"outer_alias": "prt",
"inner_alias": "mbl",
"proj_col": "value",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000001 | train |
v1 | Sensor network script:
Node: humidity | code: prt | fields: level, type, lon, depth
Sensor: rainfall | fields: lat, ts, reading, qc
Task: Get level from humidity where ts appears in rainfall readings with matching type.
Script: | readings = fetch(
node=Node("humidity", code="prt"),
filter=set_member(
field="ts",
source=Probe("rainfall", code="clr"),
match="type",
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "rainfall",
"outer_alias": "prt",
"inner_alias": "clr",
"proj_col": "level",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000002 | train |
v2 | Sensor network script:
Node: wind_speed | code: clr | fields: ts, level, qc, lon
Sensor: humidity | fields: level, lon, lat, type
Task: Get depth from wind_speed where a corresponding entry exists in humidity with the same unit.
Script: | readings = fetch(
node=Node("wind_speed", code="clr"),
filter=has_match(
source=Probe("humidity", code="ftu"),
match="unit",
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "humidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000003 | train |
v1 | Sensor network script:
Node: snow_depth | code: clr | fields: reading, unit, lon, ts
Sensor: air_quality | fields: lon, ts, reading, depth
Task: Fetch lon from snow_depth where ts exists in air_quality sensor data for the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="clr"),
filter=set_member(
field="ts",
source=Probe("air_quality", code="mbl"),
match="qc",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "air_quality",
"outer_alias": "clr",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000004 | train |
v2 | Sensor network script:
Node: drought_index | code: thr | fields: unit, ts, depth, qc
Sensor: pressure | fields: ts, value, unit, depth
Task: Get lat from drought_index where a corresponding entry exists in pressure with the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="thr"),
filter=has_match(
source=Probe("pressure", code="brt"),
match="ts",
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "pressure",
"outer_alias": "thr",
"inner_alias": "brt",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000005 | train |
v2 | Sensor network script:
Node: drought_index | code: hub | fields: lat, qc, lon, unit
Sensor: dew_point | fields: reading, ts, unit, type
Task: Retrieve value from drought_index that have at least one matching reading in dew_point sharing the same type.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=has_match(
source=Probe("dew_point", code="clr"),
match="type",
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "dew_point",
"outer_alias": "hub",
"inner_alias": "clr",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000006 | train |
v1 | Sensor network script:
Node: lightning | code: ref | fields: ts, lon, level, depth
Sensor: dew_point | fields: ts, qc, reading, value
Task: Fetch value from lightning where depth exists in dew_point sensor data for the same qc.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=set_member(
field="depth",
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "value",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000007 | train |
v2 | Sensor network script:
Node: visibility | code: hub | fields: unit, depth, type, level
Sensor: rainfall | fields: qc, value, level, unit
Task: Retrieve value from visibility that have at least one matching reading in rainfall sharing the same type.
Script: | readings = fetch(
node=Node("visibility", code="hub"),
filter=has_match(
source=Probe("rainfall", code="thr"),
match="type",
),
output="value",
) | {
"outer_table": "visibility",
"inner_table": "rainfall",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000008 | train |
v3 | Sensor network script:
Node: drought_index | code: mst | fields: type, qc, depth, level
Sensor: soil_moisture | fields: qc, depth, lat, value
Task: Get level from drought_index where value exceeds the count of reading from soil_moisture for the same unit.
Script: | readings = fetch(
node=Node("drought_index", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "reading",
source=Probe("soil_moisture", code="clr"),
match="unit"),
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "clr",
"proj_col": "level",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000009 | train |
v3 | Sensor network script:
Node: frost | code: prt | fields: unit, reading, depth, lat
Sensor: turbidity | fields: ts, lon, type, lat
Task: Retrieve lon from frost with value above the MAX(reading) of turbidity readings sharing the same unit.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("turbidity", code="drt"),
match="unit"),
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000010 | train |
v2 | Sensor network script:
Node: visibility | code: hub | fields: qc, level, ts, type
Sensor: evaporation | fields: lon, lat, value, depth
Task: Get depth from visibility where a corresponding entry exists in evaporation with the same depth.
Script: | readings = fetch(
node=Node("visibility", code="hub"),
filter=has_match(
source=Probe("evaporation", code="cnd"),
match="depth",
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "cnd",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000011 | train |
v2 | Sensor network script:
Node: wind_speed | code: mst | fields: ts, level, depth, lat
Sensor: cloud_cover | fields: value, lon, qc, depth
Task: Get lat from wind_speed where a corresponding entry exists in cloud_cover with the same depth.
Script: | readings = fetch(
node=Node("wind_speed", code="mst"),
filter=has_match(
source=Probe("cloud_cover", code="rnfl"),
match="depth",
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "cloud_cover",
"outer_alias": "mst",
"inner_alias": "rnfl",
"proj_col": "lat",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000012 | train |
v1 | Sensor network script:
Node: temperature | code: clr | fields: type, value, level, lon
Sensor: visibility | fields: value, qc, depth, level
Task: Fetch level from temperature where ts exists in visibility sensor data for the same depth.
Script: | readings = fetch(
node=Node("temperature", code="clr"),
filter=set_member(
field="ts",
source=Probe("visibility", code="thr"),
match="depth",
),
output="level",
) | {
"outer_table": "temperature",
"inner_table": "visibility",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "level",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000013 | train |
v2 | Sensor network script:
Node: wind_speed | code: stn | fields: qc, reading, level, value
Sensor: rainfall | fields: lon, ts, reading, value
Task: Fetch reading from wind_speed that have at least one corresponding rainfall measurement for the same unit.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=has_match(
source=Probe("rainfall", code="gst"),
match="unit",
),
output="reading",
) | {
"outer_table": "wind_speed",
"inner_table": "rainfall",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000014 | train |
v2 | Sensor network script:
Node: turbidity | code: stn | fields: qc, lon, depth, lat
Sensor: rainfall | fields: qc, lon, lat, depth
Task: Retrieve lat from turbidity that have at least one matching reading in rainfall sharing the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="stn"),
filter=has_match(
source=Probe("rainfall", code="frs"),
match="depth",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "rainfall",
"outer_alias": "stn",
"inner_alias": "frs",
"proj_col": "lat",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000015 | train |
v2 | Sensor network script:
Node: temperature | code: clr | fields: depth, qc, unit, lon
Sensor: pressure | fields: qc, lon, ts, reading
Task: Fetch depth from temperature that have at least one corresponding pressure measurement for the same depth.
Script: | readings = fetch(
node=Node("temperature", code="clr"),
filter=has_match(
source=Probe("pressure", code="grvl"),
match="depth",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "pressure",
"outer_alias": "clr",
"inner_alias": "grvl",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000016 | train |
v3 | Sensor network script:
Node: wind_speed | code: clr | fields: qc, ts, lat, depth
Sensor: frost | fields: reading, ts, level, value
Task: Retrieve lat from wind_speed with reading above the AVG(depth) of frost readings sharing the same depth.
Script: | readings = fetch(
node=Node("wind_speed", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("frost", code="rnfl"),
match="depth"),
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "frost",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000017 | train |
v1 | Sensor network script:
Node: dew_point | code: ref | fields: qc, lon, type, depth
Sensor: soil_moisture | fields: lat, lon, reading, type
Task: Retrieve value from dew_point whose type is found in soil_moisture records where qc matches the outer node.
Script: | readings = fetch(
node=Node("dew_point", code="ref"),
filter=set_member(
field="type",
source=Probe("soil_moisture", code="nbl"),
match="qc",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "soil_moisture",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "value",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000018 | train |
v1 | Sensor network script:
Node: air_quality | code: thr | fields: unit, depth, level, reading
Sensor: uv_index | fields: reading, lat, depth, ts
Task: Fetch depth from air_quality where depth exists in uv_index sensor data for the same unit.
Script: | readings = fetch(
node=Node("air_quality", code="thr"),
filter=set_member(
field="depth",
source=Probe("uv_index", code="frs"),
match="unit",
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "uv_index",
"outer_alias": "thr",
"inner_alias": "frs",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000019 | train |
v3 | Sensor network script:
Node: visibility | code: thr | fields: lon, ts, depth, unit
Sensor: temperature | fields: lat, qc, unit, lon
Task: Retrieve level from visibility with value above the SUM(depth) of temperature readings sharing the same qc.
Script: | readings = fetch(
node=Node("visibility", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "depth",
source=Probe("temperature", code="drt"),
match="qc"),
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "temperature",
"outer_alias": "thr",
"inner_alias": "drt",
"proj_col": "level",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000020 | train |
v1 | Sensor network script:
Node: evaporation | code: prt | fields: lon, type, ts, reading
Sensor: lightning | fields: unit, lat, qc, type
Task: Get reading from evaporation where unit appears in lightning readings with matching type.
Script: | readings = fetch(
node=Node("evaporation", code="prt"),
filter=set_member(
field="unit",
source=Probe("lightning", code="thr"),
match="type",
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "lightning",
"outer_alias": "prt",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000021 | train |
v1 | Sensor network script:
Node: rainfall | code: gst | fields: depth, lat, reading, level
Sensor: soil_moisture | fields: lon, ts, level, unit
Task: Retrieve lat from rainfall whose unit is found in soil_moisture records where qc matches the outer node.
Script: | readings = fetch(
node=Node("rainfall", code="gst"),
filter=set_member(
field="unit",
source=Probe("soil_moisture", code="frs"),
match="qc",
),
output="lat",
) | {
"outer_table": "rainfall",
"inner_table": "soil_moisture",
"outer_alias": "gst",
"inner_alias": "frs",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000022 | train |
v3 | Sensor network script:
Node: wind_speed | code: stn | fields: qc, type, ts, lat
Sensor: visibility | fields: lat, depth, level, ts
Task: Fetch level from wind_speed where depth is greater than the count of of reading in visibility for matching unit.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "reading",
source=Probe("visibility", code="grvl"),
match="unit"),
),
output="level",
) | {
"outer_table": "wind_speed",
"inner_table": "visibility",
"outer_alias": "stn",
"inner_alias": "grvl",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000023 | train |
v1 | Sensor network script:
Node: snow_depth | code: stn | fields: depth, unit, level, ts
Sensor: rainfall | fields: depth, qc, ts, level
Task: Retrieve value from snow_depth whose depth is found in rainfall records where qc matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="stn"),
filter=set_member(
field="depth",
source=Probe("rainfall", code="clr"),
match="qc",
),
output="value",
) | {
"outer_table": "snow_depth",
"inner_table": "rainfall",
"outer_alias": "stn",
"inner_alias": "clr",
"proj_col": "value",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000024 | train |
v3 | Sensor network script:
Node: drought_index | code: stn | fields: level, qc, value, reading
Sensor: evaporation | fields: ts, level, reading, lat
Task: Fetch reading from drought_index where depth is greater than the count of of depth in evaporation for matching ts.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "depth",
source=Probe("evaporation", code="mbl"),
match="ts"),
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "evaporation",
"outer_alias": "stn",
"inner_alias": "mbl",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000025 | train |
v3 | Sensor network script:
Node: sunlight | code: ref | fields: depth, ts, level, type
Sensor: soil_moisture | fields: value, depth, unit, type
Task: Fetch value from sunlight where depth is greater than the count of of value in soil_moisture for matching depth.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "value",
source=Probe("soil_moisture", code="nbl"),
match="depth"),
),
output="value",
) | {
"outer_table": "sunlight",
"inner_table": "soil_moisture",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000026 | train |
v2 | Sensor network script:
Node: drought_index | code: gst | fields: level, lon, qc, type
Sensor: temperature | fields: depth, reading, qc, ts
Task: Retrieve depth from drought_index that have at least one matching reading in temperature sharing the same type.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=has_match(
source=Probe("temperature", code="flx"),
match="type",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000027 | train |
v1 | Sensor network script:
Node: snow_depth | code: stn | fields: lat, level, value, type
Sensor: drought_index | fields: depth, value, unit, reading
Task: Fetch depth from snow_depth where unit exists in drought_index sensor data for the same ts.
Script: | readings = fetch(
node=Node("snow_depth", code="stn"),
filter=set_member(
field="unit",
source=Probe("drought_index", code="gst"),
match="ts",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "drought_index",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000028 | train |
v3 | Sensor network script:
Node: drought_index | code: mst | fields: unit, level, reading, lat
Sensor: humidity | fields: qc, value, level, lon
Task: Retrieve depth from drought_index with value above the MIN(reading) of humidity readings sharing the same unit.
Script: | readings = fetch(
node=Node("drought_index", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "reading",
source=Probe("humidity", code="ftu"),
match="unit"),
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "ftu",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000029 | train |
v1 | Sensor network script:
Node: lightning | code: prt | fields: value, unit, ts, reading
Sensor: turbidity | fields: depth, value, unit, lon
Task: Retrieve depth from lightning whose type is found in turbidity records where unit matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=set_member(
field="type",
source=Probe("turbidity", code="drt"),
match="unit",
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "depth",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000030 | train |
v3 | Sensor network script:
Node: sunlight | code: prt | fields: depth, qc, unit, level
Sensor: frost | fields: lon, lat, value, level
Task: Fetch lat from sunlight where reading is greater than the total of reading in frost for matching qc.
Script: | readings = fetch(
node=Node("sunlight", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "reading",
source=Probe("frost", code="evp"),
match="qc"),
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "frost",
"outer_alias": "prt",
"inner_alias": "evp",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000031 | train |
v3 | Sensor network script:
Node: lightning | code: clr | fields: type, qc, reading, ts
Sensor: sunlight | fields: unit, value, lat, level
Task: Retrieve lon from lightning with depth above the AVG(value) of sunlight readings sharing the same qc.
Script: | readings = fetch(
node=Node("lightning", code="clr"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("sunlight", code="frs"),
match="qc"),
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "sunlight",
"outer_alias": "clr",
"inner_alias": "frs",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000032 | train |
v1 | Sensor network script:
Node: rainfall | code: ref | fields: value, type, ts, depth
Sensor: visibility | fields: ts, reading, unit, depth
Task: Get lat from rainfall where qc appears in visibility readings with matching type.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=set_member(
field="qc",
source=Probe("visibility", code="ftu"),
match="type",
),
output="lat",
) | {
"outer_table": "rainfall",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000033 | train |
v2 | Sensor network script:
Node: cloud_cover | code: clr | fields: level, type, value, qc
Sensor: dew_point | fields: reading, qc, value, level
Task: Fetch value from cloud_cover that have at least one corresponding dew_point measurement for the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=has_match(
source=Probe("dew_point", code="ftu"),
match="depth",
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "dew_point",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "value",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000034 | train |
v1 | Sensor network script:
Node: air_quality | code: hub | fields: lon, reading, type, value
Sensor: visibility | fields: qc, unit, value, ts
Task: Retrieve lon from air_quality whose ts is found in visibility records where qc matches the outer node.
Script: | readings = fetch(
node=Node("air_quality", code="hub"),
filter=set_member(
field="ts",
source=Probe("visibility", code="ftu"),
match="qc",
),
output="lon",
) | {
"outer_table": "air_quality",
"inner_table": "visibility",
"outer_alias": "hub",
"inner_alias": "ftu",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000035 | train |
v2 | Sensor network script:
Node: evaporation | code: prt | fields: ts, lat, value, type
Sensor: sunlight | fields: type, depth, unit, level
Task: Retrieve level from evaporation that have at least one matching reading in sunlight sharing the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="prt"),
filter=has_match(
source=Probe("sunlight", code="tnd"),
match="qc",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "sunlight",
"outer_alias": "prt",
"inner_alias": "tnd",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000036 | train |
v2 | Sensor network script:
Node: turbidity | code: prt | fields: depth, lat, type, value
Sensor: dew_point | fields: value, qc, reading, type
Task: Retrieve lat from turbidity that have at least one matching reading in dew_point sharing the same unit.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=has_match(
source=Probe("dew_point", code="evp"),
match="unit",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "dew_point",
"outer_alias": "prt",
"inner_alias": "evp",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000037 | train |
v3 | Sensor network script:
Node: soil_moisture | code: mst | fields: unit, reading, qc, level
Sensor: pressure | fields: ts, reading, depth, lon
Task: Fetch reading from soil_moisture where value is greater than the average of reading in pressure for matching qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "reading",
source=Probe("pressure", code="thr"),
match="qc"),
),
output="reading",
) | {
"outer_table": "soil_moisture",
"inner_table": "pressure",
"outer_alias": "mst",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000038 | train |
v1 | Sensor network script:
Node: pressure | code: stn | fields: unit, value, lon, ts
Sensor: uv_index | fields: level, qc, type, lon
Task: Get lon from pressure where type appears in uv_index readings with matching ts.
Script: | readings = fetch(
node=Node("pressure", code="stn"),
filter=set_member(
field="type",
source=Probe("uv_index", code="drt"),
match="ts",
),
output="lon",
) | {
"outer_table": "pressure",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000039 | train |
v2 | Sensor network script:
Node: rainfall | code: ref | fields: value, reading, ts, type
Sensor: humidity | fields: lon, qc, ts, reading
Task: Fetch lat from rainfall that have at least one corresponding humidity measurement for the same ts.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=has_match(
source=Probe("humidity", code="nbl"),
match="ts",
),
output="lat",
) | {
"outer_table": "rainfall",
"inner_table": "humidity",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000040 | train |
v1 | Sensor network script:
Node: dew_point | code: prt | fields: lon, qc, unit, depth
Sensor: air_quality | fields: type, reading, level, qc
Task: Fetch lon from dew_point where unit exists in air_quality sensor data for the same ts.
Script: | readings = fetch(
node=Node("dew_point", code="prt"),
filter=set_member(
field="unit",
source=Probe("air_quality", code="brt"),
match="ts",
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "air_quality",
"outer_alias": "prt",
"inner_alias": "brt",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000041 | train |
v1 | Sensor network script:
Node: temperature | code: hub | fields: value, unit, depth, level
Sensor: air_quality | fields: unit, type, level, depth
Task: Get value from temperature where unit appears in air_quality readings with matching unit.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=set_member(
field="unit",
source=Probe("air_quality", code="mbl"),
match="unit",
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "mbl",
"proj_col": "value",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000042 | train |
v1 | Sensor network script:
Node: drought_index | code: gst | fields: qc, ts, type, depth
Sensor: rainfall | fields: reading, level, value, unit
Task: Fetch reading from drought_index where type exists in rainfall sensor data for the same unit.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=set_member(
field="type",
source=Probe("rainfall", code="prt"),
match="unit",
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "prt",
"proj_col": "reading",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000043 | train |
v1 | Sensor network script:
Node: drought_index | code: prt | fields: lat, level, reading, lon
Sensor: soil_moisture | fields: reading, type, unit, ts
Task: Get lon from drought_index where qc appears in soil_moisture readings with matching unit.
Script: | readings = fetch(
node=Node("drought_index", code="prt"),
filter=set_member(
field="qc",
source=Probe("soil_moisture", code="gst"),
match="unit",
),
output="lon",
) | {
"outer_table": "drought_index",
"inner_table": "soil_moisture",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000044 | train |
v2 | Sensor network script:
Node: lightning | code: stn | fields: qc, lon, lat, level
Sensor: air_quality | fields: qc, unit, reading, type
Task: Retrieve lat from lightning that have at least one matching reading in air_quality sharing the same qc.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=has_match(
source=Probe("air_quality", code="cnd"),
match="qc",
),
output="lat",
) | {
"outer_table": "lightning",
"inner_table": "air_quality",
"outer_alias": "stn",
"inner_alias": "cnd",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000045 | train |
v3 | Sensor network script:
Node: turbidity | code: mst | fields: reading, unit, type, ts
Sensor: cloud_cover | fields: lat, lon, level, unit
Task: Get value from turbidity where depth exceeds the total reading from cloud_cover for the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "reading",
source=Probe("cloud_cover", code="gst"),
match="depth"),
),
output="value",
) | {
"outer_table": "turbidity",
"inner_table": "cloud_cover",
"outer_alias": "mst",
"inner_alias": "gst",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000046 | train |
v3 | Sensor network script:
Node: turbidity | code: ref | fields: lat, value, type, reading
Sensor: rainfall | fields: lat, unit, depth, type
Task: Get lat from turbidity where depth exceeds the average value from rainfall for the same unit.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("rainfall", code="mbl"),
match="unit"),
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "mbl",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000047 | train |
v1 | Sensor network script:
Node: wind_speed | code: gst | fields: lat, unit, ts, depth
Sensor: rainfall | fields: lon, ts, lat, depth
Task: Fetch level from wind_speed where type exists in rainfall sensor data for the same qc.
Script: | readings = fetch(
node=Node("wind_speed", code="gst"),
filter=set_member(
field="type",
source=Probe("rainfall", code="frs"),
match="qc",
),
output="level",
) | {
"outer_table": "wind_speed",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "frs",
"proj_col": "level",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000048 | train |
v2 | Sensor network script:
Node: uv_index | code: stn | fields: level, lon, lat, reading
Sensor: wind_speed | fields: reading, lat, value, ts
Task: Get depth from uv_index where a corresponding entry exists in wind_speed with the same qc.
Script: | readings = fetch(
node=Node("uv_index", code="stn"),
filter=has_match(
source=Probe("wind_speed", code="grvl"),
match="qc",
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "grvl",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000049 | train |
v3 | Sensor network script:
Node: cloud_cover | code: thr | fields: unit, depth, value, type
Sensor: air_quality | fields: type, reading, qc, level
Task: Get value from cloud_cover where value exceeds the count of reading from air_quality for the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "reading",
source=Probe("air_quality", code="prt"),
match="unit"),
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "air_quality",
"outer_alias": "thr",
"inner_alias": "prt",
"proj_col": "value",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000050 | train |
v3 | Sensor network script:
Node: temperature | code: hub | fields: ts, depth, value, reading
Sensor: pressure | fields: lon, unit, type, depth
Task: Retrieve lon from temperature with reading above the MIN(reading) of pressure readings sharing the same depth.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "reading",
source=Probe("pressure", code="drt"),
match="depth"),
),
output="lon",
) | {
"outer_table": "temperature",
"inner_table": "pressure",
"outer_alias": "hub",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000051 | train |
v1 | Sensor network script:
Node: cloud_cover | code: clr | fields: lat, type, depth, qc
Sensor: rainfall | fields: depth, type, level, lon
Task: Fetch depth from cloud_cover where ts exists in rainfall sensor data for the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=set_member(
field="ts",
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "rainfall",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000052 | train |
v3 | Sensor network script:
Node: cloud_cover | code: stn | fields: lat, type, qc, reading
Sensor: rainfall | fields: reading, lon, unit, ts
Task: Get lat from cloud_cover where value exceeds the maximum depth from rainfall for the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "depth",
source=Probe("rainfall", code="cnd"),
match="depth"),
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "rainfall",
"outer_alias": "stn",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000053 | train |
v2 | Sensor network script:
Node: wind_speed | code: ref | fields: value, unit, level, qc
Sensor: air_quality | fields: level, type, qc, unit
Task: Fetch level from wind_speed that have at least one corresponding air_quality measurement for the same ts.
Script: | readings = fetch(
node=Node("wind_speed", code="ref"),
filter=has_match(
source=Probe("air_quality", code="clr"),
match="ts",
),
output="level",
) | {
"outer_table": "wind_speed",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000054 | train |
v3 | Sensor network script:
Node: pressure | code: mst | fields: depth, lon, qc, level
Sensor: visibility | fields: ts, depth, level, lat
Task: Fetch level from pressure where value is greater than the minimum of value in visibility for matching ts.
Script: | readings = fetch(
node=Node("pressure", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "value",
source=Probe("visibility", code="ftu"),
match="ts"),
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "visibility",
"outer_alias": "mst",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000055 | train |
v2 | Sensor network script:
Node: turbidity | code: mst | fields: reading, level, lat, unit
Sensor: frost | fields: qc, reading, lat, lon
Task: Fetch lat from turbidity that have at least one corresponding frost measurement for the same unit.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=has_match(
source=Probe("frost", code="rnfl"),
match="unit",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "frost",
"outer_alias": "mst",
"inner_alias": "rnfl",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000056 | train |
v2 | Sensor network script:
Node: drought_index | code: gst | fields: type, level, lat, qc
Sensor: snow_depth | fields: level, lon, value, reading
Task: Get lat from drought_index where a corresponding entry exists in snow_depth with the same depth.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=has_match(
source=Probe("snow_depth", code="ftu"),
match="depth",
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "snow_depth",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "lat",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000057 | train |
v1 | Sensor network script:
Node: soil_moisture | code: mst | fields: reading, lat, unit, ts
Sensor: drought_index | fields: ts, type, value, level
Task: Retrieve lon from soil_moisture whose qc is found in drought_index records where unit matches the outer node.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=set_member(
field="qc",
source=Probe("drought_index", code="thr"),
match="unit",
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "drought_index",
"outer_alias": "mst",
"inner_alias": "thr",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000058 | train |
v3 | Sensor network script:
Node: wind_speed | code: stn | fields: type, unit, depth, qc
Sensor: temperature | fields: value, lon, unit, depth
Task: Get reading from wind_speed where reading exceeds the maximum reading from temperature for the same unit.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "reading",
source=Probe("temperature", code="hgr"),
match="unit"),
),
output="reading",
) | {
"outer_table": "wind_speed",
"inner_table": "temperature",
"outer_alias": "stn",
"inner_alias": "hgr",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000059 | train |
v3 | Sensor network script:
Node: air_quality | code: stn | fields: qc, unit, lat, ts
Sensor: rainfall | fields: qc, reading, ts, depth
Task: Retrieve level from air_quality with depth above the MIN(value) of rainfall readings sharing the same unit.
Script: | readings = fetch(
node=Node("air_quality", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("rainfall", code="brt"),
match="unit"),
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "rainfall",
"outer_alias": "stn",
"inner_alias": "brt",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000060 | train |
v3 | Sensor network script:
Node: soil_moisture | code: ref | fields: lon, depth, type, qc
Sensor: air_quality | fields: unit, type, depth, ts
Task: Get lon from soil_moisture where reading exceeds the count of value from air_quality for the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("air_quality", code="drt"),
match="ts"),
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000061 | train |
v3 | Sensor network script:
Node: visibility | code: clr | fields: type, unit, lon, value
Sensor: lightning | fields: level, unit, type, lat
Task: Get lon from visibility where reading exceeds the maximum reading from lightning for the same qc.
Script: | readings = fetch(
node=Node("visibility", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "reading",
source=Probe("lightning", code="prt"),
match="qc"),
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "lightning",
"outer_alias": "clr",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000062 | train |
v2 | Sensor network script:
Node: snow_depth | code: clr | fields: reading, depth, type, ts
Sensor: sunlight | fields: type, value, depth, lat
Task: Retrieve reading from snow_depth that have at least one matching reading in sunlight sharing the same ts.
Script: | readings = fetch(
node=Node("snow_depth", code="clr"),
filter=has_match(
source=Probe("sunlight", code="grvl"),
match="ts",
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "sunlight",
"outer_alias": "clr",
"inner_alias": "grvl",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000063 | train |
v2 | Sensor network script:
Node: sunlight | code: hub | fields: depth, qc, value, type
Sensor: lightning | fields: qc, ts, reading, depth
Task: Retrieve value from sunlight that have at least one matching reading in lightning sharing the same unit.
Script: | readings = fetch(
node=Node("sunlight", code="hub"),
filter=has_match(
source=Probe("lightning", code="flx"),
match="unit",
),
output="value",
) | {
"outer_table": "sunlight",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "flx",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000064 | train |
v2 | Sensor network script:
Node: dew_point | code: mst | fields: type, lat, ts, value
Sensor: turbidity | fields: level, unit, ts, lat
Task: Get lat from dew_point where a corresponding entry exists in turbidity with the same type.
Script: | readings = fetch(
node=Node("dew_point", code="mst"),
filter=has_match(
source=Probe("turbidity", code="frs"),
match="type",
),
output="lat",
) | {
"outer_table": "dew_point",
"inner_table": "turbidity",
"outer_alias": "mst",
"inner_alias": "frs",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000065 | train |
v1 | Sensor network script:
Node: drought_index | code: gst | fields: reading, lat, level, lon
Sensor: air_quality | fields: lon, value, qc, reading
Task: Retrieve lon from drought_index whose depth is found in air_quality records where qc matches the outer node.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=set_member(
field="depth",
source=Probe("air_quality", code="prt"),
match="qc",
),
output="lon",
) | {
"outer_table": "drought_index",
"inner_table": "air_quality",
"outer_alias": "gst",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000066 | train |
v2 | Sensor network script:
Node: uv_index | code: ref | fields: ts, reading, unit, level
Sensor: rainfall | fields: value, type, lat, reading
Task: Fetch lon from uv_index that have at least one corresponding rainfall measurement for the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=has_match(
source=Probe("rainfall", code="cnd"),
match="unit",
),
output="lon",
) | {
"outer_table": "uv_index",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "lon",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000067 | train |
v2 | Sensor network script:
Node: air_quality | code: ref | fields: type, reading, value, level
Sensor: visibility | fields: level, lon, depth, type
Task: Retrieve level from air_quality that have at least one matching reading in visibility sharing the same type.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=has_match(
source=Probe("visibility", code="nbl"),
match="type",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000068 | train |
v3 | Sensor network script:
Node: sunlight | code: ref | fields: reading, level, qc, unit
Sensor: evaporation | fields: value, qc, lon, reading
Task: Fetch depth from sunlight where value is greater than the average of depth in evaporation for matching depth.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("evaporation", code="evp"),
match="depth"),
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "evaporation",
"outer_alias": "ref",
"inner_alias": "evp",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000069 | train |
v3 | Sensor network script:
Node: frost | code: hub | fields: lon, level, type, ts
Sensor: rainfall | fields: unit, reading, level, type
Task: Get reading from frost where depth exceeds the total depth from rainfall for the same type.
Script: | readings = fetch(
node=Node("frost", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "depth",
source=Probe("rainfall", code="snw"),
match="type"),
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "rainfall",
"outer_alias": "hub",
"inner_alias": "snw",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000070 | train |
v2 | Sensor network script:
Node: snow_depth | code: thr | fields: reading, value, unit, lon
Sensor: rainfall | fields: lat, value, lon, depth
Task: Get lon from snow_depth where a corresponding entry exists in rainfall with the same unit.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=has_match(
source=Probe("rainfall", code="hgr"),
match="unit",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "rainfall",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "lon",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000071 | train |
v2 | Sensor network script:
Node: sunlight | code: clr | fields: ts, lon, depth, qc
Sensor: visibility | fields: qc, value, type, lat
Task: Get level from sunlight where a corresponding entry exists in visibility with the same type.
Script: | readings = fetch(
node=Node("sunlight", code="clr"),
filter=has_match(
source=Probe("visibility", code="thr"),
match="type",
),
output="level",
) | {
"outer_table": "sunlight",
"inner_table": "visibility",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000072 | train |
v1 | Sensor network script:
Node: uv_index | code: mst | fields: reading, unit, level, lon
Sensor: dew_point | fields: lat, level, depth, type
Task: Get level from uv_index where qc appears in dew_point readings with matching type.
Script: | readings = fetch(
node=Node("uv_index", code="mst"),
filter=set_member(
field="qc",
source=Probe("dew_point", code="rnfl"),
match="type",
),
output="level",
) | {
"outer_table": "uv_index",
"inner_table": "dew_point",
"outer_alias": "mst",
"inner_alias": "rnfl",
"proj_col": "level",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000073 | train |
v2 | Sensor network script:
Node: drought_index | code: clr | fields: value, qc, type, reading
Sensor: soil_moisture | fields: depth, ts, unit, level
Task: Get depth from drought_index where a corresponding entry exists in soil_moisture with the same type.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=has_match(
source=Probe("soil_moisture", code="snw"),
match="type",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "soil_moisture",
"outer_alias": "clr",
"inner_alias": "snw",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000074 | train |
v1 | Sensor network script:
Node: snow_depth | code: mst | fields: reading, lat, unit, level
Sensor: frost | fields: lon, reading, qc, unit
Task: Fetch depth from snow_depth where unit exists in frost sensor data for the same type.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=set_member(
field="unit",
source=Probe("frost", code="mbl"),
match="type",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "frost",
"outer_alias": "mst",
"inner_alias": "mbl",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000075 | train |
v1 | Sensor network script:
Node: visibility | code: mst | fields: ts, qc, value, lon
Sensor: uv_index | fields: qc, ts, reading, level
Task: Get lon from visibility where ts appears in uv_index readings with matching qc.
Script: | readings = fetch(
node=Node("visibility", code="mst"),
filter=set_member(
field="ts",
source=Probe("uv_index", code="flx"),
match="qc",
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "uv_index",
"outer_alias": "mst",
"inner_alias": "flx",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000076 | train |
v3 | Sensor network script:
Node: cloud_cover | code: ref | fields: type, ts, level, value
Sensor: temperature | fields: level, ts, unit, value
Task: Retrieve lat from cloud_cover with value above the MAX(depth) of temperature readings sharing the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "depth",
source=Probe("temperature", code="grvl"),
match="unit"),
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "grvl",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000077 | train |
v1 | Sensor network script:
Node: air_quality | code: stn | fields: level, qc, lon, reading
Sensor: turbidity | fields: qc, type, lon, depth
Task: Retrieve lon from air_quality whose qc is found in turbidity records where type matches the outer node.
Script: | readings = fetch(
node=Node("air_quality", code="stn"),
filter=set_member(
field="qc",
source=Probe("turbidity", code="mbl"),
match="type",
),
output="lon",
) | {
"outer_table": "air_quality",
"inner_table": "turbidity",
"outer_alias": "stn",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000078 | train |
v2 | Sensor network script:
Node: turbidity | code: thr | fields: value, qc, lat, type
Sensor: cloud_cover | fields: ts, type, qc, value
Task: Fetch reading from turbidity that have at least one corresponding cloud_cover measurement for the same ts.
Script: | readings = fetch(
node=Node("turbidity", code="thr"),
filter=has_match(
source=Probe("cloud_cover", code="clr"),
match="ts",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "cloud_cover",
"outer_alias": "thr",
"inner_alias": "clr",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000079 | train |
v2 | Sensor network script:
Node: humidity | code: prt | fields: depth, lon, unit, qc
Sensor: drought_index | fields: unit, lon, qc, value
Task: Retrieve level from humidity that have at least one matching reading in drought_index sharing the same unit.
Script: | readings = fetch(
node=Node("humidity", code="prt"),
filter=has_match(
source=Probe("drought_index", code="mbl"),
match="unit",
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "mbl",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000080 | train |
v2 | Sensor network script:
Node: air_quality | code: mst | fields: level, lon, type, depth
Sensor: frost | fields: reading, depth, lon, type
Task: Fetch depth from air_quality that have at least one corresponding frost measurement for the same type.
Script: | readings = fetch(
node=Node("air_quality", code="mst"),
filter=has_match(
source=Probe("frost", code="nbl"),
match="type",
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "frost",
"outer_alias": "mst",
"inner_alias": "nbl",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000081 | train |
v1 | Sensor network script:
Node: drought_index | code: clr | fields: level, lat, type, reading
Sensor: turbidity | fields: qc, value, level, type
Task: Get lat from drought_index where qc appears in turbidity readings with matching unit.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=set_member(
field="qc",
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000082 | train |
v2 | Sensor network script:
Node: soil_moisture | code: prt | fields: lon, level, qc, value
Sensor: drought_index | fields: reading, ts, type, level
Task: Get reading from soil_moisture where a corresponding entry exists in drought_index with the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="prt"),
filter=has_match(
source=Probe("drought_index", code="ftu"),
match="ts",
),
output="reading",
) | {
"outer_table": "soil_moisture",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000083 | train |
v2 | Sensor network script:
Node: evaporation | code: thr | fields: reading, lon, ts, lat
Sensor: rainfall | fields: depth, qc, level, lat
Task: Retrieve level from evaporation that have at least one matching reading in rainfall sharing the same type.
Script: | readings = fetch(
node=Node("evaporation", code="thr"),
filter=has_match(
source=Probe("rainfall", code="gst"),
match="type",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "rainfall",
"outer_alias": "thr",
"inner_alias": "gst",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000084 | train |
v3 | Sensor network script:
Node: wind_speed | code: hub | fields: reading, type, level, depth
Sensor: cloud_cover | fields: depth, ts, unit, level
Task: Fetch reading from wind_speed where depth is greater than the average of depth in cloud_cover for matching unit.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "depth",
source=Probe("cloud_cover", code="drt"),
match="unit"),
),
output="reading",
) | {
"outer_table": "wind_speed",
"inner_table": "cloud_cover",
"outer_alias": "hub",
"inner_alias": "drt",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000085 | train |
v2 | Sensor network script:
Node: wind_speed | code: thr | fields: level, ts, depth, value
Sensor: pressure | fields: type, lat, depth, ts
Task: Retrieve level from wind_speed that have at least one matching reading in pressure sharing the same depth.
Script: | readings = fetch(
node=Node("wind_speed", code="thr"),
filter=has_match(
source=Probe("pressure", code="rnfl"),
match="depth",
),
output="level",
) | {
"outer_table": "wind_speed",
"inner_table": "pressure",
"outer_alias": "thr",
"inner_alias": "rnfl",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000086 | train |
v1 | Sensor network script:
Node: temperature | code: ref | fields: lon, type, unit, value
Sensor: visibility | fields: value, type, unit, depth
Task: Fetch value from temperature where ts exists in visibility sensor data for the same type.
Script: | readings = fetch(
node=Node("temperature", code="ref"),
filter=set_member(
field="ts",
source=Probe("visibility", code="prt"),
match="type",
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "value",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000087 | train |
v3 | Sensor network script:
Node: wind_speed | code: stn | fields: value, type, lon, lat
Sensor: air_quality | fields: qc, ts, reading, lon
Task: Retrieve reading from wind_speed with reading above the COUNT(depth) of air_quality readings sharing the same unit.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "depth",
source=Probe("air_quality", code="drt"),
match="unit"),
),
output="reading",
) | {
"outer_table": "wind_speed",
"inner_table": "air_quality",
"outer_alias": "stn",
"inner_alias": "drt",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000088 | train |
v1 | Sensor network script:
Node: visibility | code: gst | fields: unit, value, lat, type
Sensor: cloud_cover | fields: level, reading, ts, depth
Task: Retrieve lon from visibility whose qc is found in cloud_cover records where ts matches the outer node.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=set_member(
field="qc",
source=Probe("cloud_cover", code="prt"),
match="ts",
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000089 | train |
v1 | Sensor network script:
Node: visibility | code: hub | fields: qc, lon, unit, value
Sensor: cloud_cover | fields: lat, reading, depth, lon
Task: Fetch reading from visibility where type exists in cloud_cover sensor data for the same depth.
Script: | readings = fetch(
node=Node("visibility", code="hub"),
filter=set_member(
field="type",
source=Probe("cloud_cover", code="snw"),
match="depth",
),
output="reading",
) | {
"outer_table": "visibility",
"inner_table": "cloud_cover",
"outer_alias": "hub",
"inner_alias": "snw",
"proj_col": "reading",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000090 | train |
v1 | Sensor network script:
Node: pressure | code: stn | fields: type, ts, lon, level
Sensor: drought_index | fields: type, depth, ts, reading
Task: Get reading from pressure where ts appears in drought_index readings with matching qc.
Script: | readings = fetch(
node=Node("pressure", code="stn"),
filter=set_member(
field="ts",
source=Probe("drought_index", code="hgr"),
match="qc",
),
output="reading",
) | {
"outer_table": "pressure",
"inner_table": "drought_index",
"outer_alias": "stn",
"inner_alias": "hgr",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000091 | train |
v2 | Sensor network script:
Node: air_quality | code: mst | fields: ts, reading, unit, depth
Sensor: snow_depth | fields: reading, level, ts, lon
Task: Retrieve reading from air_quality that have at least one matching reading in snow_depth sharing the same unit.
Script: | readings = fetch(
node=Node("air_quality", code="mst"),
filter=has_match(
source=Probe("snow_depth", code="nbl"),
match="unit",
),
output="reading",
) | {
"outer_table": "air_quality",
"inner_table": "snow_depth",
"outer_alias": "mst",
"inner_alias": "nbl",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000092 | train |
v3 | Sensor network script:
Node: turbidity | code: thr | fields: reading, type, lon, ts
Sensor: humidity | fields: depth, ts, qc, unit
Task: Fetch level from turbidity where value is greater than the count of of reading in humidity for matching unit.
Script: | readings = fetch(
node=Node("turbidity", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "reading",
source=Probe("humidity", code="tnd"),
match="unit"),
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "tnd",
"proj_col": "level",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000093 | train |
v3 | Sensor network script:
Node: drought_index | code: stn | fields: depth, unit, level, value
Sensor: visibility | fields: ts, depth, lat, value
Task: Fetch reading from drought_index where depth is greater than the minimum of value in visibility for matching unit.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("visibility", code="prt"),
match="unit"),
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "visibility",
"outer_alias": "stn",
"inner_alias": "prt",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000094 | train |
v3 | Sensor network script:
Node: wind_speed | code: hub | fields: lat, ts, reading, depth
Sensor: uv_index | fields: value, type, lat, unit
Task: Get lon from wind_speed where depth exceeds the count of depth from uv_index for the same ts.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "depth",
source=Probe("uv_index", code="thr"),
match="ts"),
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "uv_index",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_rand_v1_train_000095 | train |
v3 | Sensor network script:
Node: cloud_cover | code: gst | fields: unit, value, ts, depth
Sensor: visibility | fields: reading, lat, value, unit
Task: Get value from cloud_cover where depth exceeds the total value from visibility for the same ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "value",
source=Probe("visibility", code="flx"),
match="ts"),
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "visibility",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000096 | train |
v3 | Sensor network script:
Node: dew_point | code: gst | fields: depth, value, unit, qc
Sensor: soil_moisture | fields: lat, unit, qc, type
Task: Retrieve value from dew_point with reading above the MAX(reading) of soil_moisture readings sharing the same type.
Script: | readings = fetch(
node=Node("dew_point", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "reading",
source=Probe("soil_moisture", code="drt"),
match="type"),
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "soil_moisture",
"outer_alias": "gst",
"inner_alias": "drt",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000097 | train |
v3 | Sensor network script:
Node: temperature | code: clr | fields: depth, reading, level, value
Sensor: pressure | fields: depth, reading, ts, lat
Task: Get reading from temperature where value exceeds the count of reading from pressure for the same qc.
Script: | readings = fetch(
node=Node("temperature", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "reading",
source=Probe("pressure", code="grvl"),
match="qc"),
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "pressure",
"outer_alias": "clr",
"inner_alias": "grvl",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000098 | train |
v3 | Sensor network script:
Node: pressure | code: mst | fields: depth, lon, type, lat
Sensor: visibility | fields: unit, type, reading, value
Task: Fetch level from pressure where value is greater than the average of depth in visibility for matching qc.
Script: | readings = fetch(
node=Node("pressure", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("visibility", code="mbl"),
match="qc"),
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "visibility",
"outer_alias": "mst",
"inner_alias": "mbl",
"proj_col": "level",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_rand_v1_train_000099 | train |
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