variant stringclasses 3
values | prompt stringlengths 216 286 | query stringlengths 168 299 | metadata unknown | id stringlengths 28 28 | split stringclasses 1
value |
|---|---|---|---|---|---|
v1 | Sensor network script:
Node: snow_depth | code: mst | fields: reading, lon, value, ts
Sensor: cloud_cover | fields: unit, value, qc, depth
Task: Fetch reading from snow_depth where depth exists in cloud_cover sensor data for the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=set_member(
field="depth",
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "cloud_cover",
"outer_alias": "mst",
"inner_alias": "nbl",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062100 | train |
v2 | Sensor network script:
Node: humidity | code: clr | fields: lat, reading, depth, value
Sensor: temperature | fields: unit, reading, level, type
Task: Fetch depth from humidity that have at least one corresponding temperature measurement for the same qc.
Script: | readings = fetch(
node=Node("humidity", code="clr"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="qc",
),
output="depth",
) | {
"outer_table": "humidity",
"inner_table": "temperature",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062101 | train |
v1 | Sensor network script:
Node: evaporation | code: clr | fields: reading, value, qc, lat
Sensor: sunlight | fields: qc, type, ts, value
Task: Retrieve lat from evaporation whose depth is found in sunlight records where depth matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=set_member(
field="depth",
source=Probe("sunlight", code="brt"),
match="depth",
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "sunlight",
"outer_alias": "clr",
"inner_alias": "brt",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062102 | train |
v3 | Sensor network script:
Node: rainfall | code: thr | fields: lat, unit, qc, reading
Sensor: pressure | fields: type, unit, qc, value
Task: Retrieve depth from rainfall with value above the COUNT(reading) of pressure readings sharing the same type.
Script: | readings = fetch(
node=Node("rainfall", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "reading",
source=Probe("pressure", code="mbl"),
match="type"),
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "pressure",
"outer_alias": "thr",
"inner_alias": "mbl",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062103 | train |
v2 | Sensor network script:
Node: humidity | code: mst | fields: value, qc, ts, reading
Sensor: visibility | fields: level, reading, ts, unit
Task: Fetch reading from humidity that have at least one corresponding visibility measurement for the same unit.
Script: | readings = fetch(
node=Node("humidity", code="mst"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="unit",
),
output="reading",
) | {
"outer_table": "humidity",
"inner_table": "visibility",
"outer_alias": "mst",
"inner_alias": "clr",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062104 | train |
v1 | Sensor network script:
Node: wind_speed | code: hub | fields: reading, level, type, lon
Sensor: cloud_cover | fields: type, reading, level, unit
Task: Retrieve reading from wind_speed whose depth is found in cloud_cover records where qc matches the outer node.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=set_member(
field="depth",
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="reading",
) | {
"outer_table": "wind_speed",
"inner_table": "cloud_cover",
"outer_alias": "hub",
"inner_alias": "nbl",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062105 | train |
v3 | Sensor network script:
Node: cloud_cover | code: thr | fields: value, ts, lon, level
Sensor: rainfall | fields: level, lat, unit, type
Task: Retrieve lat from cloud_cover with value above the COUNT(value) of rainfall readings sharing the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "value",
source=Probe("rainfall", code="rnfl"),
match="depth"),
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "rainfall",
"outer_alias": "thr",
"inner_alias": "rnfl",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062106 | train |
v1 | Sensor network script:
Node: drought_index | code: prt | fields: value, level, reading, type
Sensor: wind_speed | fields: ts, lon, type, lat
Task: Get depth from drought_index where unit appears in wind_speed readings with matching depth.
Script: | readings = fetch(
node=Node("drought_index", code="prt"),
filter=set_member(
field="unit",
source=Probe("wind_speed", code="gst"),
match="depth",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062107 | train |
v3 | Sensor network script:
Node: sunlight | code: hub | fields: ts, value, qc, type
Sensor: snow_depth | fields: lat, depth, unit, qc
Task: Get lat from sunlight where depth exceeds the total reading from snow_depth for the same type.
Script: | readings = fetch(
node=Node("sunlight", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "reading",
source=Probe("snow_depth", code="snw"),
match="type"),
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "snow_depth",
"outer_alias": "hub",
"inner_alias": "snw",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062108 | train |
v1 | Sensor network script:
Node: snow_depth | code: prt | fields: unit, type, qc, depth
Sensor: soil_moisture | fields: reading, unit, level, lat
Task: Retrieve lon from snow_depth whose depth is found in soil_moisture records where qc matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="prt"),
filter=set_member(
field="depth",
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "soil_moisture",
"outer_alias": "prt",
"inner_alias": "grvl",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062109 | train |
v2 | Sensor network script:
Node: pressure | code: stn | fields: reading, depth, type, qc
Sensor: temperature | fields: qc, reading, lat, unit
Task: Get depth from pressure where a corresponding entry exists in temperature with the same ts.
Script: | readings = fetch(
node=Node("pressure", code="stn"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="ts",
),
output="depth",
) | {
"outer_table": "pressure",
"inner_table": "temperature",
"outer_alias": "stn",
"inner_alias": "thr",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062110 | train |
v1 | Sensor network script:
Node: soil_moisture | code: clr | fields: level, lon, value, unit
Sensor: snow_depth | fields: level, unit, lon, type
Task: Get lon from soil_moisture where qc appears in snow_depth readings with matching depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="clr"),
filter=set_member(
field="qc",
source=Probe("snow_depth", code="snw"),
match="depth",
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "snow_depth",
"outer_alias": "clr",
"inner_alias": "snw",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062111 | train |
v3 | Sensor network script:
Node: temperature | code: stn | fields: reading, ts, unit, value
Sensor: snow_depth | fields: lat, reading, ts, level
Task: Fetch depth from temperature where reading is greater than the minimum of value in snow_depth for matching unit.
Script: | readings = fetch(
node=Node("temperature", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("snow_depth", code="snw"),
match="unit"),
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "snow_depth",
"outer_alias": "stn",
"inner_alias": "snw",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062112 | train |
v1 | Sensor network script:
Node: air_quality | code: prt | fields: depth, ts, level, reading
Sensor: cloud_cover | fields: ts, type, reading, lon
Task: Retrieve reading from air_quality whose unit is found in cloud_cover records where type matches the outer node.
Script: | readings = fetch(
node=Node("air_quality", code="prt"),
filter=set_member(
field="unit",
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="reading",
) | {
"outer_table": "air_quality",
"inner_table": "cloud_cover",
"outer_alias": "prt",
"inner_alias": "nbl",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062113 | train |
v1 | Sensor network script:
Node: cloud_cover | code: clr | fields: qc, value, type, reading
Sensor: turbidity | fields: type, qc, unit, lat
Task: Fetch lat from cloud_cover where qc exists in turbidity sensor data for the same ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=set_member(
field="qc",
source=Probe("turbidity", code="ftu"),
match="ts",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062114 | train |
v1 | Sensor network script:
Node: drought_index | code: prt | fields: depth, lon, lat, unit
Sensor: evaporation | fields: value, ts, depth, level
Task: Fetch level from drought_index where ts exists in evaporation sensor data for the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="prt"),
filter=set_member(
field="ts",
source=Probe("evaporation", code="evp"),
match="ts",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "evaporation",
"outer_alias": "prt",
"inner_alias": "evp",
"proj_col": "level",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062115 | train |
v2 | Sensor network script:
Node: evaporation | code: gst | fields: qc, lon, ts, level
Sensor: snow_depth | fields: lat, qc, reading, depth
Task: Get value from evaporation where a corresponding entry exists in snow_depth with the same unit.
Script: | readings = fetch(
node=Node("evaporation", code="gst"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="unit",
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "snow_depth",
"outer_alias": "gst",
"inner_alias": "snw",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062116 | train |
v2 | Sensor network script:
Node: snow_depth | code: prt | fields: level, reading, lon, value
Sensor: dew_point | fields: depth, qc, reading, lat
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_062117 | train |
v2 | Sensor network script:
Node: cloud_cover | code: clr | fields: depth, type, level, value
Sensor: air_quality | fields: ts, lat, depth, lon
Task: Fetch value from cloud_cover that have at least one corresponding air_quality measurement for the same type.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="type",
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "air_quality",
"outer_alias": "clr",
"inner_alias": "prt",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062118 | train |
v3 | Sensor network script:
Node: turbidity | code: clr | fields: ts, reading, unit, type
Sensor: humidity | fields: lon, type, ts, unit
Task: Fetch level from turbidity where reading is greater than the count of of depth in humidity for matching ts.
Script: | readings = fetch(
node=Node("turbidity", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "depth",
source=Probe("humidity", code="hgr"),
match="ts"),
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "humidity",
"outer_alias": "clr",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062119 | train |
v1 | Sensor network script:
Node: evaporation | code: thr | fields: type, reading, lon, qc
Sensor: lightning | fields: depth, level, type, reading
Task: Retrieve level from evaporation whose ts is found in lightning records where qc matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="thr"),
filter=set_member(
field="ts",
source=Probe("lightning", code="tnd"),
match="qc",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "lightning",
"outer_alias": "thr",
"inner_alias": "tnd",
"proj_col": "level",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062120 | train |
v2 | Sensor network script:
Node: rainfall | code: thr | fields: qc, lat, reading, value
Sensor: snow_depth | fields: level, type, reading, value
Task: Get value from rainfall where a corresponding entry exists in snow_depth with the same unit.
Script: | readings = fetch(
node=Node("rainfall", code="thr"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="unit",
),
output="value",
) | {
"outer_table": "rainfall",
"inner_table": "snow_depth",
"outer_alias": "thr",
"inner_alias": "snw",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062121 | train |
v2 | Sensor network script:
Node: frost | code: thr | fields: reading, lon, level, unit
Sensor: dew_point | fields: reading, lat, value, lon
Task: Fetch lat from frost that have at least one corresponding dew_point measurement for the same ts.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="ts",
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062122 | train |
v1 | Sensor network script:
Node: turbidity | code: stn | fields: depth, unit, lon, level
Sensor: evaporation | fields: lat, lon, qc, level
Task: Get lon from turbidity where ts appears in evaporation readings with matching type.
Script: | readings = fetch(
node=Node("turbidity", code="stn"),
filter=set_member(
field="ts",
source=Probe("evaporation", code="evp"),
match="type",
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "evaporation",
"outer_alias": "stn",
"inner_alias": "evp",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062123 | train |
v2 | Sensor network script:
Node: lightning | code: ref | fields: unit, lon, lat, type
Sensor: cloud_cover | fields: lat, level, depth, ts
Task: Retrieve reading from lightning that have at least one matching reading in cloud_cover sharing the same qc.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062124 | train |
v2 | Sensor network script:
Node: dew_point | code: clr | fields: lon, qc, ts, unit
Sensor: soil_moisture | fields: ts, lon, type, level
Task: Fetch level from dew_point that have at least one corresponding soil_moisture measurement for the same qc.
Script: | readings = fetch(
node=Node("dew_point", code="clr"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="level",
) | {
"outer_table": "dew_point",
"inner_table": "soil_moisture",
"outer_alias": "clr",
"inner_alias": "grvl",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062125 | train |
v2 | Sensor network script:
Node: soil_moisture | code: hub | fields: type, depth, lat, qc
Sensor: uv_index | fields: reading, type, qc, lon
Task: Fetch value from soil_moisture that have at least one corresponding uv_index measurement for the same qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="hub"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="qc",
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "uv_index",
"outer_alias": "hub",
"inner_alias": "flx",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062126 | train |
v1 | Sensor network script:
Node: uv_index | code: hub | fields: ts, value, type, lon
Sensor: soil_moisture | fields: type, depth, reading, unit
Task: Retrieve depth from uv_index whose type is found in soil_moisture records where type matches the outer node.
Script: | readings = fetch(
node=Node("uv_index", code="hub"),
filter=set_member(
field="type",
source=Probe("soil_moisture", code="grvl"),
match="type",
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "soil_moisture",
"outer_alias": "hub",
"inner_alias": "grvl",
"proj_col": "depth",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062127 | train |
v1 | Sensor network script:
Node: drought_index | code: prt | fields: type, level, ts, unit
Sensor: visibility | fields: unit, level, depth, type
Task: Retrieve level from drought_index whose unit is found in visibility records where depth matches the outer node.
Script: | readings = fetch(
node=Node("drought_index", code="prt"),
filter=set_member(
field="unit",
source=Probe("visibility", code="clr"),
match="depth",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "visibility",
"outer_alias": "prt",
"inner_alias": "clr",
"proj_col": "level",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062128 | train |
v2 | Sensor network script:
Node: wind_speed | code: prt | fields: lon, ts, lat, qc
Sensor: humidity | fields: type, unit, reading, depth
Task: Fetch value from wind_speed that have at least one corresponding humidity measurement for the same depth.
Script: | readings = fetch(
node=Node("wind_speed", code="prt"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="depth",
),
output="value",
) | {
"outer_table": "wind_speed",
"inner_table": "humidity",
"outer_alias": "prt",
"inner_alias": "hgr",
"proj_col": "value",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062129 | train |
v1 | Sensor network script:
Node: rainfall | code: gst | fields: ts, unit, lat, value
Sensor: pressure | fields: ts, qc, level, unit
Task: Fetch level from rainfall where unit exists in pressure sensor data for the same qc.
Script: | readings = fetch(
node=Node("rainfall", code="gst"),
filter=set_member(
field="unit",
source=Probe("pressure", code="mbl"),
match="qc",
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "level",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062130 | train |
v3 | Sensor network script:
Node: snow_depth | code: mst | fields: value, lat, qc, unit
Sensor: cloud_cover | fields: level, reading, value, type
Task: Fetch reading from snow_depth where reading is greater than the average of value in cloud_cover for matching unit.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "value",
source=Probe("cloud_cover", code="nbl"),
match="unit"),
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "cloud_cover",
"outer_alias": "mst",
"inner_alias": "nbl",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062131 | train |
v1 | Sensor network script:
Node: dew_point | code: ref | fields: reading, qc, lat, ts
Sensor: cloud_cover | fields: value, type, lon, unit
Task: Get level from dew_point where ts appears in cloud_cover readings with matching unit.
Script: | readings = fetch(
node=Node("dew_point", code="ref"),
filter=set_member(
field="ts",
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="level",
) | {
"outer_table": "dew_point",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "level",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062132 | train |
v1 | Sensor network script:
Node: cloud_cover | code: ref | fields: value, depth, ts, qc
Sensor: drought_index | fields: level, depth, qc, reading
Task: Get value from cloud_cover where ts appears in drought_index readings with matching depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=set_member(
field="ts",
source=Probe("drought_index", code="drt"),
match="depth",
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "drought_index",
"outer_alias": "ref",
"inner_alias": "drt",
"proj_col": "value",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062133 | train |
v2 | Sensor network script:
Node: drought_index | code: ref | fields: lat, lon, type, reading
Sensor: rainfall | fields: ts, qc, reading, level
Task: Fetch reading from drought_index that have at least one corresponding rainfall measurement for the same unit.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="unit",
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "rnfl",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062134 | train |
v2 | Sensor network script:
Node: dew_point | code: mst | fields: lon, lat, unit, reading
Sensor: rainfall | fields: lon, level, depth, type
Task: Fetch depth from dew_point that have at least one corresponding rainfall measurement for the same depth.
Script: | readings = fetch(
node=Node("dew_point", code="mst"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="depth",
) | {
"outer_table": "dew_point",
"inner_table": "rainfall",
"outer_alias": "mst",
"inner_alias": "rnfl",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062135 | train |
v1 | Sensor network script:
Node: snow_depth | code: prt | fields: unit, qc, ts, reading
Sensor: pressure | fields: type, ts, reading, depth
Task: Fetch depth from snow_depth where qc exists in pressure sensor data for the same unit.
Script: | readings = fetch(
node=Node("snow_depth", code="prt"),
filter=set_member(
field="qc",
source=Probe("pressure", code="mbl"),
match="unit",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "pressure",
"outer_alias": "prt",
"inner_alias": "mbl",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062136 | train |
v1 | Sensor network script:
Node: pressure | code: ref | fields: level, reading, ts, type
Sensor: air_quality | fields: lon, lat, type, qc
Task: Fetch depth from pressure where unit exists in air_quality sensor data for the same depth.
Script: | readings = fetch(
node=Node("pressure", code="ref"),
filter=set_member(
field="unit",
source=Probe("air_quality", code="prt"),
match="depth",
),
output="depth",
) | {
"outer_table": "pressure",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062137 | train |
v2 | Sensor network script:
Node: air_quality | code: mst | fields: qc, depth, type, level
Sensor: temperature | fields: ts, reading, unit, lon
Task: Retrieve lat from air_quality that have at least one matching reading in temperature sharing the same depth.
Script: | readings = fetch(
node=Node("air_quality", code="mst"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="depth",
),
output="lat",
) | {
"outer_table": "air_quality",
"inner_table": "temperature",
"outer_alias": "mst",
"inner_alias": "thr",
"proj_col": "lat",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062138 | train |
v1 | Sensor network script:
Node: drought_index | code: stn | fields: value, reading, level, depth
Sensor: visibility | fields: type, reading, depth, lon
Task: Fetch level from drought_index where unit exists in visibility sensor data for the same depth.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=set_member(
field="unit",
source=Probe("visibility", code="clr"),
match="depth",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "visibility",
"outer_alias": "stn",
"inner_alias": "clr",
"proj_col": "level",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062139 | train |
v3 | Sensor network script:
Node: visibility | code: mst | fields: ts, lon, depth, value
Sensor: humidity | fields: lon, unit, qc, type
Task: Get lon from visibility where value exceeds the minimum depth from humidity for the same depth.
Script: | readings = fetch(
node=Node("visibility", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "depth",
source=Probe("humidity", code="hgr"),
match="depth"),
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062140 | train |
v3 | Sensor network script:
Node: soil_moisture | code: clr | fields: qc, reading, lat, value
Sensor: evaporation | fields: depth, lon, value, level
Task: Get reading from soil_moisture where value exceeds the minimum reading from evaporation for the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "reading",
source=Probe("evaporation", code="evp"),
match="ts"),
),
output="reading",
) | {
"outer_table": "soil_moisture",
"inner_table": "evaporation",
"outer_alias": "clr",
"inner_alias": "evp",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062141 | train |
v1 | Sensor network script:
Node: evaporation | code: ref | fields: reading, qc, type, depth
Sensor: snow_depth | fields: lat, depth, ts, reading
Task: Get depth from evaporation where qc appears in snow_depth readings with matching ts.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=set_member(
field="qc",
source=Probe("snow_depth", code="snw"),
match="ts",
),
output="depth",
) | {
"outer_table": "evaporation",
"inner_table": "snow_depth",
"outer_alias": "ref",
"inner_alias": "snw",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062142 | train |
v1 | Sensor network script:
Node: lightning | code: clr | fields: lon, value, qc, level
Sensor: frost | fields: lat, qc, level, unit
Task: Fetch level from lightning where type exists in frost sensor data for the same ts.
Script: | readings = fetch(
node=Node("lightning", code="clr"),
filter=set_member(
field="type",
source=Probe("frost", code="frs"),
match="ts",
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "frost",
"outer_alias": "clr",
"inner_alias": "frs",
"proj_col": "level",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062143 | train |
v3 | Sensor network script:
Node: drought_index | code: gst | fields: ts, reading, lon, depth
Sensor: uv_index | fields: depth, lat, unit, ts
Task: Fetch depth from drought_index where reading is greater than the maximum of depth in uv_index for matching qc.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("uv_index", code="flx"),
match="qc"),
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062144 | train |
v2 | Sensor network script:
Node: sunlight | code: prt | fields: depth, ts, qc, unit
Sensor: rainfall | fields: depth, level, qc, unit
Task: Get lat from sunlight where a corresponding entry exists in rainfall with the same unit.
Script: | readings = fetch(
node=Node("sunlight", code="prt"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="unit",
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "rainfall",
"outer_alias": "prt",
"inner_alias": "rnfl",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062145 | train |
v3 | Sensor network script:
Node: visibility | code: gst | fields: value, reading, depth, qc
Sensor: temperature | fields: type, qc, reading, value
Task: Retrieve lat from visibility with depth above the COUNT(reading) of temperature readings sharing the same ts.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "reading",
source=Probe("temperature", code="thr"),
match="ts"),
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062146 | train |
v2 | Sensor network script:
Node: dew_point | code: mst | fields: lon, level, value, depth
Sensor: drought_index | fields: ts, type, lon, reading
Task: Fetch lon from dew_point that have at least one corresponding drought_index measurement for the same qc.
Script: | readings = fetch(
node=Node("dew_point", code="mst"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="qc",
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "drought_index",
"outer_alias": "mst",
"inner_alias": "drt",
"proj_col": "lon",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062147 | train |
v1 | Sensor network script:
Node: pressure | code: thr | fields: ts, qc, unit, reading
Sensor: rainfall | fields: level, lon, ts, lat
Task: Fetch lon from pressure where qc exists in rainfall sensor data for the same ts.
Script: | readings = fetch(
node=Node("pressure", code="thr"),
filter=set_member(
field="qc",
source=Probe("rainfall", code="rnfl"),
match="ts",
),
output="lon",
) | {
"outer_table": "pressure",
"inner_table": "rainfall",
"outer_alias": "thr",
"inner_alias": "rnfl",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062148 | train |
v1 | Sensor network script:
Node: evaporation | code: prt | fields: value, unit, reading, lat
Sensor: pressure | fields: type, value, unit, ts
Task: Retrieve lat from evaporation whose qc is found in pressure records where ts matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="prt"),
filter=set_member(
field="qc",
source=Probe("pressure", code="mbl"),
match="ts",
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "pressure",
"outer_alias": "prt",
"inner_alias": "mbl",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062149 | train |
v1 | Sensor network script:
Node: snow_depth | code: hub | fields: qc, level, type, unit
Sensor: air_quality | fields: qc, level, lat, reading
Task: Get depth from snow_depth where qc appears in air_quality readings with matching unit.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=set_member(
field="qc",
source=Probe("air_quality", code="prt"),
match="unit",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062150 | train |
v1 | Sensor network script:
Node: frost | code: hub | fields: value, type, lat, lon
Sensor: turbidity | fields: value, lon, qc, ts
Task: Fetch lat from frost where type exists in turbidity sensor data for the same ts.
Script: | readings = fetch(
node=Node("frost", code="hub"),
filter=set_member(
field="type",
source=Probe("turbidity", code="ftu"),
match="ts",
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "turbidity",
"outer_alias": "hub",
"inner_alias": "ftu",
"proj_col": "lat",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062151 | train |
v3 | Sensor network script:
Node: uv_index | code: thr | fields: reading, type, qc, value
Sensor: frost | fields: level, unit, reading, depth
Task: Fetch value from uv_index where value is greater than the maximum of reading in frost for matching qc.
Script: | readings = fetch(
node=Node("uv_index", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("frost", code="frs"),
match="qc"),
),
output="value",
) | {
"outer_table": "uv_index",
"inner_table": "frost",
"outer_alias": "thr",
"inner_alias": "frs",
"proj_col": "value",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062152 | train |
v1 | Sensor network script:
Node: drought_index | code: hub | fields: lat, value, type, qc
Sensor: evaporation | fields: reading, qc, depth, level
Task: Fetch level from drought_index where depth exists in evaporation sensor data for the same depth.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=set_member(
field="depth",
source=Probe("evaporation", code="evp"),
match="depth",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "level",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062153 | train |
v1 | Sensor network script:
Node: dew_point | code: gst | fields: depth, lon, level, type
Sensor: pressure | fields: level, qc, lat, unit
Task: Get value from dew_point where qc appears in pressure readings with matching unit.
Script: | readings = fetch(
node=Node("dew_point", code="gst"),
filter=set_member(
field="qc",
source=Probe("pressure", code="mbl"),
match="unit",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "value",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062154 | train |
v1 | Sensor network script:
Node: rainfall | code: prt | fields: qc, depth, lat, reading
Sensor: humidity | fields: lat, qc, value, unit
Task: Fetch lon from rainfall where type exists in humidity sensor data for the same qc.
Script: | readings = fetch(
node=Node("rainfall", code="prt"),
filter=set_member(
field="type",
source=Probe("humidity", code="hgr"),
match="qc",
),
output="lon",
) | {
"outer_table": "rainfall",
"inner_table": "humidity",
"outer_alias": "prt",
"inner_alias": "hgr",
"proj_col": "lon",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062155 | train |
v3 | Sensor network script:
Node: soil_moisture | code: thr | fields: type, ts, depth, value
Sensor: turbidity | fields: value, reading, lat, depth
Task: Fetch lat from soil_moisture where depth is greater than the minimum of depth in turbidity for matching qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "depth",
source=Probe("turbidity", code="ftu"),
match="qc"),
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "turbidity",
"outer_alias": "thr",
"inner_alias": "ftu",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062156 | train |
v2 | Sensor network script:
Node: air_quality | code: ref | fields: type, ts, lon, reading
Sensor: temperature | fields: qc, value, ts, lat
Task: Retrieve level from air_quality that have at least one matching reading in temperature sharing the same unit.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="unit",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "thr",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062157 | train |
v3 | Sensor network script:
Node: snow_depth | code: clr | fields: depth, lat, level, qc
Sensor: wind_speed | fields: lat, type, ts, qc
Task: Retrieve depth from snow_depth with reading above the MAX(value) of wind_speed readings sharing the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "value",
source=Probe("wind_speed", code="gst"),
match="qc"),
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "wind_speed",
"outer_alias": "clr",
"inner_alias": "gst",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062158 | train |
v2 | Sensor network script:
Node: evaporation | code: mst | fields: lat, lon, unit, reading
Sensor: pressure | fields: type, level, depth, value
Task: Fetch value from evaporation that have at least one corresponding pressure measurement for the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="mst"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="depth",
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "pressure",
"outer_alias": "mst",
"inner_alias": "mbl",
"proj_col": "value",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062159 | train |
v2 | Sensor network script:
Node: rainfall | code: thr | fields: unit, level, value, reading
Sensor: dew_point | fields: depth, reading, ts, qc
Task: Get level from rainfall where a corresponding entry exists in dew_point with the same depth.
Script: | readings = fetch(
node=Node("rainfall", code="thr"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="depth",
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062160 | train |
v3 | Sensor network script:
Node: snow_depth | code: clr | fields: reading, qc, ts, value
Sensor: wind_speed | fields: depth, ts, qc, lat
Task: Fetch value from snow_depth where depth is greater than the count of of value in wind_speed for matching depth.
Script: | readings = fetch(
node=Node("snow_depth", code="clr"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "value",
source=Probe("wind_speed", code="gst"),
match="depth"),
),
output="value",
) | {
"outer_table": "snow_depth",
"inner_table": "wind_speed",
"outer_alias": "clr",
"inner_alias": "gst",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062161 | train |
v3 | Sensor network script:
Node: visibility | code: ref | fields: ts, level, type, qc
Sensor: lightning | fields: unit, reading, value, lat
Task: Retrieve level from visibility with depth above the AVG(reading) of lightning readings sharing the same ts.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("lightning", code="tnd"),
match="ts"),
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "lightning",
"outer_alias": "ref",
"inner_alias": "tnd",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062162 | train |
v2 | Sensor network script:
Node: soil_moisture | code: thr | fields: level, unit, value, lat
Sensor: sunlight | fields: value, lat, unit, type
Task: Get reading from soil_moisture where a corresponding entry exists in sunlight with the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="thr"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="type",
),
output="reading",
) | {
"outer_table": "soil_moisture",
"inner_table": "sunlight",
"outer_alias": "thr",
"inner_alias": "brt",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062163 | train |
v3 | Sensor network script:
Node: cloud_cover | code: clr | fields: lon, qc, unit, ts
Sensor: rainfall | fields: reading, level, type, ts
Task: Fetch depth from cloud_cover where depth is greater than the count of of depth in rainfall for matching depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "depth",
source=Probe("rainfall", code="rnfl"),
match="depth"),
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "rainfall",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062164 | train |
v2 | Sensor network script:
Node: frost | code: stn | fields: depth, unit, level, value
Sensor: humidity | fields: qc, lon, unit, type
Task: Retrieve value from frost that have at least one matching reading in humidity sharing the same qc.
Script: | readings = fetch(
node=Node("frost", code="stn"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="qc",
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "humidity",
"outer_alias": "stn",
"inner_alias": "hgr",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062165 | train |
v2 | Sensor network script:
Node: soil_moisture | code: ref | fields: ts, qc, depth, lon
Sensor: frost | fields: unit, ts, lat, value
Task: Get lat from soil_moisture where a corresponding entry exists in frost with the same unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=has_match(
source=Probe("frost", code="frs"),
match="unit",
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "frost",
"outer_alias": "ref",
"inner_alias": "frs",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062166 | train |
v2 | Sensor network script:
Node: humidity | code: mst | fields: lon, value, type, qc
Sensor: turbidity | fields: lon, level, value, depth
Task: Retrieve lon from humidity that have at least one matching reading in turbidity sharing the same type.
Script: | readings = fetch(
node=Node("humidity", code="mst"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="type",
),
output="lon",
) | {
"outer_table": "humidity",
"inner_table": "turbidity",
"outer_alias": "mst",
"inner_alias": "ftu",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062167 | train |
v3 | Sensor network script:
Node: turbidity | code: gst | fields: type, depth, level, unit
Sensor: humidity | fields: type, reading, qc, value
Task: Retrieve level from turbidity with depth above the COUNT(reading) of humidity readings sharing the same type.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "reading",
source=Probe("humidity", code="hgr"),
match="type"),
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "humidity",
"outer_alias": "gst",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062168 | train |
v1 | Sensor network script:
Node: pressure | code: hub | fields: ts, unit, lon, value
Sensor: temperature | fields: lat, level, type, unit
Task: Get depth from pressure where depth appears in temperature readings with matching qc.
Script: | readings = fetch(
node=Node("pressure", code="hub"),
filter=set_member(
field="depth",
source=Probe("temperature", code="thr"),
match="qc",
),
output="depth",
) | {
"outer_table": "pressure",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062169 | train |
v1 | Sensor network script:
Node: drought_index | code: hub | fields: reading, lat, qc, depth
Sensor: air_quality | fields: reading, lon, depth, value
Task: Get lon from drought_index where depth appears in air_quality readings with matching type.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=set_member(
field="depth",
source=Probe("air_quality", code="prt"),
match="type",
),
output="lon",
) | {
"outer_table": "drought_index",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062170 | train |
v3 | Sensor network script:
Node: soil_moisture | code: prt | fields: lon, ts, lat, qc
Sensor: sunlight | fields: reading, lat, unit, type
Task: Retrieve value from soil_moisture with value above the SUM(value) of sunlight readings sharing the same unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "value",
source=Probe("sunlight", code="brt"),
match="unit"),
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "sunlight",
"outer_alias": "prt",
"inner_alias": "brt",
"proj_col": "value",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062171 | train |
v1 | Sensor network script:
Node: temperature | code: mst | fields: type, lon, level, value
Sensor: turbidity | fields: qc, ts, type, level
Task: Get value from temperature where qc appears in turbidity readings with matching ts.
Script: | readings = fetch(
node=Node("temperature", code="mst"),
filter=set_member(
field="qc",
source=Probe("turbidity", code="ftu"),
match="ts",
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "turbidity",
"outer_alias": "mst",
"inner_alias": "ftu",
"proj_col": "value",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062172 | train |
v2 | Sensor network script:
Node: frost | code: ref | fields: ts, reading, lat, level
Sensor: turbidity | fields: value, level, ts, depth
Task: Retrieve level from frost that have at least one matching reading in turbidity sharing the same depth.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062173 | train |
v1 | Sensor network script:
Node: frost | code: mst | fields: depth, type, reading, unit
Sensor: lightning | fields: depth, lon, ts, type
Task: Fetch value from frost where qc exists in lightning sensor data for the same ts.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=set_member(
field="qc",
source=Probe("lightning", code="tnd"),
match="ts",
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062174 | train |
v2 | Sensor network script:
Node: cloud_cover | code: hub | fields: qc, lat, lon, ts
Sensor: air_quality | fields: qc, type, level, unit
Task: Retrieve reading from cloud_cover that have at least one matching reading in air_quality sharing the same ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="ts",
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062175 | train |
v1 | Sensor network script:
Node: visibility | code: prt | fields: ts, qc, depth, lat
Sensor: dew_point | fields: type, lon, qc, unit
Task: Retrieve lat from visibility whose unit is found in dew_point records where depth matches the outer node.
Script: | readings = fetch(
node=Node("visibility", code="prt"),
filter=set_member(
field="unit",
source=Probe("dew_point", code="cnd"),
match="depth",
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "dew_point",
"outer_alias": "prt",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062176 | train |
v2 | Sensor network script:
Node: air_quality | code: clr | fields: ts, qc, reading, value
Sensor: rainfall | fields: value, ts, reading, type
Task: Fetch level from air_quality that have at least one corresponding rainfall measurement for the same type.
Script: | readings = fetch(
node=Node("air_quality", code="clr"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="type",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "rainfall",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062177 | train |
v2 | Sensor network script:
Node: wind_speed | code: stn | fields: lon, qc, depth, unit
Sensor: soil_moisture | fields: level, reading, lat, qc
Task: Get value from wind_speed where a corresponding entry exists in soil_moisture with the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="type",
),
output="value",
) | {
"outer_table": "wind_speed",
"inner_table": "soil_moisture",
"outer_alias": "stn",
"inner_alias": "grvl",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062178 | train |
v1 | Sensor network script:
Node: frost | code: prt | fields: reading, level, qc, lon
Sensor: drought_index | fields: reading, value, qc, type
Task: Fetch lon from frost where qc exists in drought_index sensor data for the same ts.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=set_member(
field="qc",
source=Probe("drought_index", code="drt"),
match="ts",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062179 | train |
v1 | Sensor network script:
Node: turbidity | code: thr | fields: unit, level, ts, depth
Sensor: lightning | fields: qc, depth, type, value
Task: Retrieve reading from turbidity whose type is found in lightning records where ts matches the outer node.
Script: | readings = fetch(
node=Node("turbidity", code="thr"),
filter=set_member(
field="type",
source=Probe("lightning", code="tnd"),
match="ts",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "lightning",
"outer_alias": "thr",
"inner_alias": "tnd",
"proj_col": "reading",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062180 | train |
v2 | Sensor network script:
Node: visibility | code: ref | fields: unit, depth, value, qc
Sensor: soil_moisture | fields: unit, level, lat, depth
Task: Retrieve level from visibility that have at least one matching reading in soil_moisture sharing the same qc.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "soil_moisture",
"outer_alias": "ref",
"inner_alias": "grvl",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062181 | train |
v2 | Sensor network script:
Node: soil_moisture | code: ref | fields: depth, qc, ts, type
Sensor: air_quality | fields: lat, ts, depth, lon
Task: Fetch level from soil_moisture that have at least one corresponding air_quality measurement for the same depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="depth",
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062182 | train |
v3 | Sensor network script:
Node: pressure | code: hub | fields: type, level, value, depth
Sensor: visibility | fields: unit, type, qc, value
Task: Get reading from pressure where reading exceeds the total reading from visibility for the same qc.
Script: | readings = fetch(
node=Node("pressure", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "reading",
source=Probe("visibility", code="clr"),
match="qc"),
),
output="reading",
) | {
"outer_table": "pressure",
"inner_table": "visibility",
"outer_alias": "hub",
"inner_alias": "clr",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062183 | train |
v2 | Sensor network script:
Node: evaporation | code: prt | fields: qc, level, value, type
Sensor: snow_depth | fields: unit, type, value, lon
Task: Retrieve depth from evaporation that have at least one matching reading in snow_depth sharing the same ts.
Script: | readings = fetch(
node=Node("evaporation", code="prt"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="ts",
),
output="depth",
) | {
"outer_table": "evaporation",
"inner_table": "snow_depth",
"outer_alias": "prt",
"inner_alias": "snw",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062184 | train |
v3 | Sensor network script:
Node: wind_speed | code: thr | fields: qc, value, unit, ts
Sensor: humidity | fields: qc, depth, reading, lat
Task: Fetch lat from wind_speed where depth is greater than the minimum of reading in humidity for matching depth.
Script: | readings = fetch(
node=Node("wind_speed", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "reading",
source=Probe("humidity", code="hgr"),
match="depth"),
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062185 | train |
v2 | Sensor network script:
Node: drought_index | code: gst | fields: unit, lon, reading, ts
Sensor: rainfall | fields: qc, depth, lon, reading
Task: Retrieve value from drought_index that have at least one matching reading in rainfall sharing the same unit.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="unit",
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "rnfl",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062186 | train |
v2 | Sensor network script:
Node: soil_moisture | code: stn | fields: level, unit, reading, type
Sensor: turbidity | fields: value, type, reading, lat
Task: Get level from soil_moisture where a corresponding entry exists in turbidity with the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="stn"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="ts",
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "turbidity",
"outer_alias": "stn",
"inner_alias": "ftu",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062187 | train |
v2 | Sensor network script:
Node: rainfall | code: gst | fields: ts, lat, lon, reading
Sensor: drought_index | fields: lon, value, level, unit
Task: Get depth from rainfall where a corresponding entry exists in drought_index with the same unit.
Script: | readings = fetch(
node=Node("rainfall", code="gst"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="unit",
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "drought_index",
"outer_alias": "gst",
"inner_alias": "drt",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062188 | train |
v1 | Sensor network script:
Node: wind_speed | code: hub | fields: type, ts, reading, qc
Sensor: frost | fields: value, qc, unit, ts
Task: Get lon from wind_speed where ts appears in frost readings with matching unit.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=set_member(
field="ts",
source=Probe("frost", code="frs"),
match="unit",
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062189 | train |
v1 | Sensor network script:
Node: dew_point | code: clr | fields: type, qc, depth, level
Sensor: snow_depth | fields: value, depth, reading, level
Task: Retrieve reading from dew_point whose depth is found in snow_depth records where qc matches the outer node.
Script: | readings = fetch(
node=Node("dew_point", code="clr"),
filter=set_member(
field="depth",
source=Probe("snow_depth", code="snw"),
match="qc",
),
output="reading",
) | {
"outer_table": "dew_point",
"inner_table": "snow_depth",
"outer_alias": "clr",
"inner_alias": "snw",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062190 | train |
v1 | Sensor network script:
Node: humidity | code: clr | fields: value, type, unit, lat
Sensor: air_quality | fields: lat, depth, unit, qc
Task: Fetch value from humidity where qc exists in air_quality sensor data for the same ts.
Script: | readings = fetch(
node=Node("humidity", code="clr"),
filter=set_member(
field="qc",
source=Probe("air_quality", code="prt"),
match="ts",
),
output="value",
) | {
"outer_table": "humidity",
"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_062191 | train |
v3 | Sensor network script:
Node: soil_moisture | code: gst | fields: ts, qc, lat, value
Sensor: turbidity | fields: ts, type, reading, unit
Task: Fetch value from soil_moisture where reading is greater than the minimum of value in turbidity for matching unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("turbidity", code="ftu"),
match="unit"),
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "turbidity",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062192 | train |
v2 | Sensor network script:
Node: humidity | code: hub | fields: value, unit, ts, type
Sensor: snow_depth | fields: level, unit, depth, lat
Task: Fetch lat from humidity that have at least one corresponding snow_depth measurement for the same qc.
Script: | readings = fetch(
node=Node("humidity", code="hub"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="qc",
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "snow_depth",
"outer_alias": "hub",
"inner_alias": "snw",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062193 | train |
v3 | Sensor network script:
Node: humidity | code: ref | fields: lat, value, ts, qc
Sensor: drought_index | fields: depth, reading, type, qc
Task: Retrieve reading from humidity with value above the AVG(depth) of drought_index readings sharing the same ts.
Script: | readings = fetch(
node=Node("humidity", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("drought_index", code="drt"),
match="ts"),
),
output="reading",
) | {
"outer_table": "humidity",
"inner_table": "drought_index",
"outer_alias": "ref",
"inner_alias": "drt",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062194 | train |
v3 | Sensor network script:
Node: turbidity | code: ref | fields: depth, value, type, lon
Sensor: humidity | fields: depth, lat, unit, ts
Task: Retrieve depth from turbidity with depth above the MAX(value) of humidity readings sharing the same type.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "value",
source=Probe("humidity", code="hgr"),
match="type"),
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "humidity",
"outer_alias": "ref",
"inner_alias": "hgr",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062195 | train |
v2 | Sensor network script:
Node: air_quality | code: gst | fields: lon, type, ts, reading
Sensor: humidity | fields: type, qc, lat, level
Task: Get lat from air_quality where a corresponding entry exists in humidity with the same depth.
Script: | readings = fetch(
node=Node("air_quality", code="gst"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="depth",
),
output="lat",
) | {
"outer_table": "air_quality",
"inner_table": "humidity",
"outer_alias": "gst",
"inner_alias": "hgr",
"proj_col": "lat",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062196 | train |
v2 | Sensor network script:
Node: cloud_cover | code: gst | fields: value, ts, lat, depth
Sensor: air_quality | fields: lon, lat, ts, type
Task: Get lat from cloud_cover where a corresponding entry exists in air_quality with the same ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="gst"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="ts",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "air_quality",
"outer_alias": "gst",
"inner_alias": "prt",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_062197 | train |
v2 | Sensor network script:
Node: dew_point | code: clr | fields: lon, value, lat, level
Sensor: frost | fields: depth, ts, reading, type
Task: Get lon from dew_point where a corresponding entry exists in frost with the same ts.
Script: | readings = fetch(
node=Node("dew_point", code="clr"),
filter=has_match(
source=Probe("frost", code="frs"),
match="ts",
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "frost",
"outer_alias": "clr",
"inner_alias": "frs",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062198 | train |
v3 | Sensor network script:
Node: pressure | code: prt | fields: qc, value, reading, ts
Sensor: cloud_cover | fields: reading, depth, type, lon
Task: Fetch lon from pressure where reading is greater than the minimum of depth in cloud_cover for matching ts.
Script: | readings = fetch(
node=Node("pressure", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "depth",
source=Probe("cloud_cover", code="nbl"),
match="ts"),
),
output="lon",
) | {
"outer_table": "pressure",
"inner_table": "cloud_cover",
"outer_alias": "prt",
"inner_alias": "nbl",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_062199 | train |
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