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: rainfall | code: clr | fields: level, qc, reading, ts
Sensor: dew_point | fields: depth, unit, reading, value
Task: Fetch lat from rainfall where depth exists in dew_point sensor data for the same type.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=set_member(
field="depth",
source=Probe("dew_point", code="cnd"),
match="type",
),
output="lat",
) | {
"outer_table": "rainfall",
"inner_table": "dew_point",
"outer_alias": "clr",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009800 | train |
v2 | Sensor network script:
Node: snow_depth | code: thr | fields: value, reading, qc, depth
Sensor: dew_point | fields: ts, level, reading, value
Task: Get lat from snow_depth where a corresponding entry exists in dew_point with the same ts.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="ts",
),
output="lat",
) | {
"outer_table": "snow_depth",
"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_009801 | train |
v1 | Sensor network script:
Node: sunlight | code: mst | fields: lon, type, reading, ts
Sensor: air_quality | fields: value, level, lon, reading
Task: Retrieve value from sunlight whose unit is found in air_quality records where qc matches the outer node.
Script: | readings = fetch(
node=Node("sunlight", code="mst"),
filter=set_member(
field="unit",
source=Probe("air_quality", code="prt"),
match="qc",
),
output="value",
) | {
"outer_table": "sunlight",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "value",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009802 | train |
v1 | Sensor network script:
Node: soil_moisture | code: mst | fields: value, reading, qc, level
Sensor: wind_speed | fields: depth, lat, level, reading
Task: Fetch lat from soil_moisture where qc exists in wind_speed sensor data for the same unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=set_member(
field="qc",
source=Probe("wind_speed", code="gst"),
match="unit",
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "wind_speed",
"outer_alias": "mst",
"inner_alias": "gst",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009803 | train |
v1 | Sensor network script:
Node: visibility | code: gst | fields: lat, lon, ts, value
Sensor: sunlight | fields: value, qc, lon, depth
Task: Retrieve depth from visibility whose depth is found in sunlight records where type matches the outer node.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=set_member(
field="depth",
source=Probe("sunlight", code="brt"),
match="type",
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009804 | train |
v3 | Sensor network script:
Node: sunlight | code: gst | fields: reading, type, depth, value
Sensor: turbidity | fields: value, depth, lon, type
Task: Get reading from sunlight where reading exceeds the total value from turbidity for the same depth.
Script: | readings = fetch(
node=Node("sunlight", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "value",
source=Probe("turbidity", code="ftu"),
match="depth"),
),
output="reading",
) | {
"outer_table": "sunlight",
"inner_table": "turbidity",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009805 | train |
v2 | Sensor network script:
Node: uv_index | code: thr | fields: depth, unit, level, qc
Sensor: turbidity | fields: depth, level, lon, unit
Task: Get reading from uv_index where a corresponding entry exists in turbidity with the same depth.
Script: | readings = fetch(
node=Node("uv_index", code="thr"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="reading",
) | {
"outer_table": "uv_index",
"inner_table": "turbidity",
"outer_alias": "thr",
"inner_alias": "ftu",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009806 | train |
v3 | Sensor network script:
Node: snow_depth | code: ref | fields: unit, lat, reading, qc
Sensor: frost | fields: unit, reading, value, ts
Task: Retrieve level from snow_depth with depth above the COUNT(depth) of frost readings sharing the same unit.
Script: | readings = fetch(
node=Node("snow_depth", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "depth",
source=Probe("frost", code="frs"),
match="unit"),
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "frost",
"outer_alias": "ref",
"inner_alias": "frs",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009807 | train |
v2 | Sensor network script:
Node: lightning | code: hub | fields: unit, ts, type, depth
Sensor: sunlight | fields: ts, depth, lon, value
Task: Retrieve reading from lightning that have at least one matching reading in sunlight sharing the same qc.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="qc",
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "sunlight",
"outer_alias": "hub",
"inner_alias": "brt",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009808 | train |
v1 | Sensor network script:
Node: evaporation | code: ref | fields: ts, lon, level, type
Sensor: wind_speed | fields: lon, type, value, unit
Task: Retrieve depth from evaporation whose qc is found in wind_speed records where unit matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=set_member(
field="qc",
source=Probe("wind_speed", code="gst"),
match="unit",
),
output="depth",
) | {
"outer_table": "evaporation",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009809 | train |
v2 | Sensor network script:
Node: uv_index | code: thr | fields: lat, unit, reading, qc
Sensor: snow_depth | fields: lon, lat, unit, depth
Task: Get depth from uv_index where a corresponding entry exists in snow_depth with the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="thr"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="unit",
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "snow_depth",
"outer_alias": "thr",
"inner_alias": "snw",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009810 | train |
v2 | Sensor network script:
Node: snow_depth | code: thr | fields: ts, depth, reading, value
Sensor: drought_index | fields: level, lon, unit, type
Task: Retrieve level from snow_depth that have at least one matching reading in drought_index sharing the same type.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="type",
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "drought_index",
"outer_alias": "thr",
"inner_alias": "drt",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009811 | train |
v2 | Sensor network script:
Node: temperature | code: gst | fields: qc, type, reading, depth
Sensor: snow_depth | fields: level, unit, qc, depth
Task: Get lat from temperature where a corresponding entry exists in snow_depth with the same qc.
Script: | readings = fetch(
node=Node("temperature", code="gst"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="qc",
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "snow_depth",
"outer_alias": "gst",
"inner_alias": "snw",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009812 | train |
v1 | Sensor network script:
Node: drought_index | code: ref | fields: value, level, ts, type
Sensor: rainfall | fields: level, reading, depth, type
Task: Get lon from drought_index where qc appears in rainfall readings with matching depth.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=set_member(
field="qc",
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="lon",
) | {
"outer_table": "drought_index",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "rnfl",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009813 | train |
v2 | Sensor network script:
Node: temperature | code: thr | fields: reading, qc, depth, type
Sensor: visibility | fields: depth, type, reading, level
Task: Fetch reading from temperature that have at least one corresponding visibility measurement for the same unit.
Script: | readings = fetch(
node=Node("temperature", code="thr"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="unit",
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "visibility",
"outer_alias": "thr",
"inner_alias": "clr",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009814 | train |
v2 | Sensor network script:
Node: pressure | code: ref | fields: ts, lat, value, lon
Sensor: air_quality | fields: level, depth, ts, unit
Task: Fetch level from pressure that have at least one corresponding air_quality measurement for the same unit.
Script: | readings = fetch(
node=Node("pressure", code="ref"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="unit",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009815 | train |
v3 | Sensor network script:
Node: soil_moisture | code: gst | fields: type, lon, lat, depth
Sensor: cloud_cover | fields: lon, reading, level, depth
Task: Fetch depth from soil_moisture where reading is greater than the minimum of depth in cloud_cover for matching depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "depth",
source=Probe("cloud_cover", code="nbl"),
match="depth"),
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009816 | train |
v3 | Sensor network script:
Node: cloud_cover | code: mst | fields: unit, type, qc, depth
Sensor: lightning | fields: lat, level, unit, ts
Task: Fetch lon from cloud_cover where depth is greater than the maximum of depth in lightning for matching ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="mst"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "depth",
source=Probe("lightning", code="tnd"),
match="ts"),
),
output="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009817 | train |
v1 | Sensor network script:
Node: frost | code: thr | fields: reading, lon, qc, lat
Sensor: soil_moisture | fields: type, unit, qc, ts
Task: Fetch lat from frost where type exists in soil_moisture sensor data for the same ts.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=set_member(
field="type",
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "soil_moisture",
"outer_alias": "thr",
"inner_alias": "grvl",
"proj_col": "lat",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009818 | train |
v1 | Sensor network script:
Node: lightning | code: hub | fields: lon, type, value, qc
Sensor: rainfall | fields: depth, unit, value, level
Task: Retrieve lat from lightning whose qc is found in rainfall records where unit matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=set_member(
field="qc",
source=Probe("rainfall", code="rnfl"),
match="unit",
),
output="lat",
) | {
"outer_table": "lightning",
"inner_table": "rainfall",
"outer_alias": "hub",
"inner_alias": "rnfl",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009819 | train |
v2 | Sensor network script:
Node: evaporation | code: ref | fields: lon, value, reading, unit
Sensor: dew_point | fields: lat, qc, level, reading
Task: Fetch lat from evaporation that have at least one corresponding dew_point measurement for the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009820 | train |
v3 | Sensor network script:
Node: dew_point | code: thr | fields: ts, value, reading, type
Sensor: frost | fields: depth, qc, ts, lon
Task: Get lat from dew_point where reading exceeds the average reading from frost for the same type.
Script: | readings = fetch(
node=Node("dew_point", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "reading",
source=Probe("frost", code="frs"),
match="type"),
),
output="lat",
) | {
"outer_table": "dew_point",
"inner_table": "frost",
"outer_alias": "thr",
"inner_alias": "frs",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009821 | train |
v2 | Sensor network script:
Node: visibility | code: gst | fields: value, unit, lon, ts
Sensor: sunlight | fields: lon, value, type, level
Task: Retrieve value from visibility that have at least one matching reading in sunlight sharing the same ts.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="ts",
),
output="value",
) | {
"outer_table": "visibility",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "value",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009822 | train |
v2 | Sensor network script:
Node: dew_point | code: gst | fields: reading, type, depth, lat
Sensor: sunlight | fields: reading, lat, type, level
Task: Fetch value from dew_point that have at least one corresponding sunlight measurement for the same ts.
Script: | readings = fetch(
node=Node("dew_point", code="gst"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="ts",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "value",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009823 | train |
v2 | Sensor network script:
Node: lightning | code: thr | fields: ts, type, unit, value
Sensor: soil_moisture | fields: ts, lon, lat, qc
Task: Get lon from lightning where a corresponding entry exists in soil_moisture with the same ts.
Script: | readings = fetch(
node=Node("lightning", code="thr"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "soil_moisture",
"outer_alias": "thr",
"inner_alias": "grvl",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009824 | train |
v1 | Sensor network script:
Node: evaporation | code: hub | fields: level, qc, depth, value
Sensor: wind_speed | fields: lon, depth, value, lat
Task: Retrieve level from evaporation whose ts is found in wind_speed records where depth matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="hub"),
filter=set_member(
field="ts",
source=Probe("wind_speed", code="gst"),
match="depth",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "wind_speed",
"outer_alias": "hub",
"inner_alias": "gst",
"proj_col": "level",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009825 | train |
v3 | Sensor network script:
Node: humidity | code: mst | fields: value, unit, qc, level
Sensor: frost | fields: ts, depth, type, unit
Task: Retrieve reading from humidity with depth above the COUNT(reading) of frost readings sharing the same depth.
Script: | readings = fetch(
node=Node("humidity", code="mst"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "reading",
source=Probe("frost", code="frs"),
match="depth"),
),
output="reading",
) | {
"outer_table": "humidity",
"inner_table": "frost",
"outer_alias": "mst",
"inner_alias": "frs",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009826 | train |
v3 | Sensor network script:
Node: wind_speed | code: hub | fields: lon, type, qc, depth
Sensor: visibility | fields: depth, reading, level, lon
Task: Get value from wind_speed where depth exceeds the average reading from visibility for the same ts.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("visibility", code="clr"),
match="ts"),
),
output="value",
) | {
"outer_table": "wind_speed",
"inner_table": "visibility",
"outer_alias": "hub",
"inner_alias": "clr",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009827 | train |
v2 | Sensor network script:
Node: temperature | code: hub | fields: qc, ts, type, value
Sensor: sunlight | fields: lat, ts, value, reading
Task: Get reading from temperature where a corresponding entry exists in sunlight with the same qc.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="qc",
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "sunlight",
"outer_alias": "hub",
"inner_alias": "brt",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009828 | train |
v1 | Sensor network script:
Node: evaporation | code: clr | fields: value, level, depth, qc
Sensor: dew_point | fields: lat, depth, ts, reading
Task: Fetch level from evaporation where depth exists in dew_point sensor data for the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=set_member(
field="depth",
source=Probe("dew_point", code="cnd"),
match="depth",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "dew_point",
"outer_alias": "clr",
"inner_alias": "cnd",
"proj_col": "level",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009829 | train |
v1 | Sensor network script:
Node: snow_depth | code: stn | fields: lat, reading, lon, depth
Sensor: wind_speed | fields: depth, lon, type, ts
Task: Get level from snow_depth where qc appears in wind_speed readings with matching depth.
Script: | readings = fetch(
node=Node("snow_depth", code="stn"),
filter=set_member(
field="qc",
source=Probe("wind_speed", code="gst"),
match="depth",
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "level",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009830 | train |
v1 | Sensor network script:
Node: evaporation | code: clr | fields: level, value, reading, lon
Sensor: rainfall | fields: qc, lat, unit, reading
Task: Retrieve depth from evaporation whose depth is found in rainfall records where depth matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=set_member(
field="depth",
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="depth",
) | {
"outer_table": "evaporation",
"inner_table": "rainfall",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009831 | train |
v3 | Sensor network script:
Node: rainfall | code: hub | fields: reading, qc, type, lon
Sensor: snow_depth | fields: value, ts, lon, type
Task: Fetch depth from rainfall where value is greater than the average of reading in snow_depth for matching depth.
Script: | readings = fetch(
node=Node("rainfall", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "reading",
source=Probe("snow_depth", code="snw"),
match="depth"),
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "snow_depth",
"outer_alias": "hub",
"inner_alias": "snw",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009832 | train |
v3 | Sensor network script:
Node: cloud_cover | code: stn | fields: qc, ts, type, reading
Sensor: drought_index | fields: type, unit, depth, lon
Task: Retrieve lon from cloud_cover with value above the SUM(value) of drought_index readings sharing the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "value",
source=Probe("drought_index", code="drt"),
match="unit"),
),
output="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "drought_index",
"outer_alias": "stn",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009833 | train |
v2 | Sensor network script:
Node: uv_index | code: stn | fields: reading, type, lon, lat
Sensor: air_quality | fields: value, unit, qc, reading
Task: Fetch lon from uv_index that have at least one corresponding air_quality measurement for the same qc.
Script: | readings = fetch(
node=Node("uv_index", code="stn"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="qc",
),
output="lon",
) | {
"outer_table": "uv_index",
"inner_table": "air_quality",
"outer_alias": "stn",
"inner_alias": "prt",
"proj_col": "lon",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009834 | train |
v1 | Sensor network script:
Node: wind_speed | code: stn | fields: depth, unit, lon, qc
Sensor: lightning | fields: depth, value, lon, unit
Task: Fetch level from wind_speed where depth exists in lightning sensor data for the same depth.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=set_member(
field="depth",
source=Probe("lightning", code="tnd"),
match="depth",
),
output="level",
) | {
"outer_table": "wind_speed",
"inner_table": "lightning",
"outer_alias": "stn",
"inner_alias": "tnd",
"proj_col": "level",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009835 | train |
v2 | Sensor network script:
Node: uv_index | code: ref | fields: unit, ts, reading, lon
Sensor: visibility | fields: type, lon, value, lat
Task: Fetch lat from uv_index that have at least one corresponding visibility measurement for the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="unit",
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009836 | train |
v2 | Sensor network script:
Node: evaporation | code: mst | fields: level, unit, qc, value
Sensor: humidity | fields: qc, value, type, ts
Task: Retrieve level from evaporation that have at least one matching reading in humidity sharing the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="mst"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="qc",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009837 | train |
v3 | Sensor network script:
Node: pressure | code: stn | fields: qc, depth, reading, unit
Sensor: cloud_cover | fields: unit, lat, reading, level
Task: Retrieve depth from pressure with depth above the AVG(value) of cloud_cover readings sharing the same ts.
Script: | readings = fetch(
node=Node("pressure", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("cloud_cover", code="nbl"),
match="ts"),
),
output="depth",
) | {
"outer_table": "pressure",
"inner_table": "cloud_cover",
"outer_alias": "stn",
"inner_alias": "nbl",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009838 | train |
v3 | Sensor network script:
Node: cloud_cover | code: thr | fields: ts, depth, level, lon
Sensor: humidity | fields: unit, value, qc, reading
Task: Retrieve level from cloud_cover with depth above the COUNT(reading) of humidity readings sharing the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "reading",
source=Probe("humidity", code="hgr"),
match="unit"),
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009839 | train |
v3 | Sensor network script:
Node: snow_depth | code: clr | fields: reading, unit, type, lat
Sensor: uv_index | fields: lat, lon, level, qc
Task: Get depth from snow_depth where depth exceeds the average reading from uv_index for the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="clr"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("uv_index", code="flx"),
match="qc"),
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "uv_index",
"outer_alias": "clr",
"inner_alias": "flx",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009840 | train |
v1 | Sensor network script:
Node: soil_moisture | code: gst | fields: type, unit, qc, ts
Sensor: dew_point | fields: lon, value, ts, unit
Task: Get reading from soil_moisture where unit appears in dew_point readings with matching depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="gst"),
filter=set_member(
field="unit",
source=Probe("dew_point", code="cnd"),
match="depth",
),
output="reading",
) | {
"outer_table": "soil_moisture",
"inner_table": "dew_point",
"outer_alias": "gst",
"inner_alias": "cnd",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009841 | train |
v3 | Sensor network script:
Node: soil_moisture | code: clr | fields: type, unit, depth, ts
Sensor: turbidity | fields: type, depth, qc, reading
Task: Fetch level from soil_moisture where value is greater than the average of depth in turbidity for matching type.
Script: | readings = fetch(
node=Node("soil_moisture", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("turbidity", code="ftu"),
match="type"),
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009842 | train |
v2 | Sensor network script:
Node: humidity | code: prt | fields: unit, ts, reading, value
Sensor: snow_depth | fields: reading, value, type, lon
Task: Fetch lat from humidity that have at least one corresponding snow_depth measurement for the same depth.
Script: | readings = fetch(
node=Node("humidity", code="prt"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="depth",
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "snow_depth",
"outer_alias": "prt",
"inner_alias": "snw",
"proj_col": "lat",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009843 | train |
v3 | Sensor network script:
Node: frost | code: thr | fields: value, type, unit, qc
Sensor: drought_index | fields: depth, value, lon, reading
Task: Retrieve depth from frost with depth above the MIN(reading) of drought_index readings sharing the same depth.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "reading",
source=Probe("drought_index", code="drt"),
match="depth"),
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "drought_index",
"outer_alias": "thr",
"inner_alias": "drt",
"proj_col": "depth",
"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_009844 | train |
v2 | Sensor network script:
Node: cloud_cover | code: stn | fields: lat, unit, depth, ts
Sensor: lightning | fields: qc, lat, reading, unit
Task: Fetch reading from cloud_cover that have at least one corresponding lightning measurement for the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="qc",
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "lightning",
"outer_alias": "stn",
"inner_alias": "tnd",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009845 | train |
v1 | Sensor network script:
Node: temperature | code: hub | fields: ts, lat, qc, lon
Sensor: frost | fields: lon, qc, lat, depth
Task: Get lon from temperature where ts appears in frost readings with matching type.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=set_member(
field="ts",
source=Probe("frost", code="frs"),
match="type",
),
output="lon",
) | {
"outer_table": "temperature",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009846 | train |
v1 | Sensor network script:
Node: uv_index | code: mst | fields: level, unit, reading, depth
Sensor: air_quality | fields: ts, unit, lon, depth
Task: Fetch value from uv_index where ts exists in air_quality sensor data for the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="mst"),
filter=set_member(
field="ts",
source=Probe("air_quality", code="prt"),
match="unit",
),
output="value",
) | {
"outer_table": "uv_index",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "value",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009847 | train |
v2 | Sensor network script:
Node: visibility | code: stn | fields: reading, level, depth, lon
Sensor: air_quality | fields: lon, unit, level, reading
Task: Fetch lat from visibility that have at least one corresponding air_quality measurement for the same type.
Script: | readings = fetch(
node=Node("visibility", code="stn"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="type",
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "air_quality",
"outer_alias": "stn",
"inner_alias": "prt",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009848 | train |
v1 | Sensor network script:
Node: cloud_cover | code: ref | fields: value, qc, level, lat
Sensor: rainfall | fields: ts, value, lat, reading
Task: Get lat from cloud_cover where qc appears in rainfall readings with matching ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=set_member(
field="qc",
source=Probe("rainfall", code="rnfl"),
match="ts",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "rnfl",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009849 | train |
v3 | Sensor network script:
Node: air_quality | code: prt | fields: value, reading, level, lon
Sensor: lightning | fields: reading, value, level, depth
Task: Fetch lon from air_quality where reading is greater than the count of of value in lightning for matching depth.
Script: | readings = fetch(
node=Node("air_quality", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("lightning", code="tnd"),
match="depth"),
),
output="lon",
) | {
"outer_table": "air_quality",
"inner_table": "lightning",
"outer_alias": "prt",
"inner_alias": "tnd",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009850 | train |
v2 | Sensor network script:
Node: rainfall | code: hub | fields: lon, qc, value, lat
Sensor: wind_speed | fields: unit, ts, qc, lon
Task: Fetch level from rainfall that have at least one corresponding wind_speed measurement for the same depth.
Script: | readings = fetch(
node=Node("rainfall", code="hub"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="depth",
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "wind_speed",
"outer_alias": "hub",
"inner_alias": "gst",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009851 | train |
v3 | Sensor network script:
Node: drought_index | code: thr | fields: unit, qc, depth, value
Sensor: wind_speed | fields: lat, lon, ts, level
Task: Get lat from drought_index where reading exceeds the minimum reading from wind_speed for the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "reading",
source=Probe("wind_speed", code="gst"),
match="ts"),
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "wind_speed",
"outer_alias": "thr",
"inner_alias": "gst",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009852 | train |
v3 | Sensor network script:
Node: drought_index | code: ref | fields: type, lat, ts, level
Sensor: humidity | fields: unit, level, type, lon
Task: Get level from drought_index where reading exceeds the average depth from humidity for the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("humidity", code="hgr"),
match="qc"),
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "humidity",
"outer_alias": "ref",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009853 | train |
v2 | Sensor network script:
Node: snow_depth | code: mst | fields: lon, qc, value, level
Sensor: dew_point | fields: depth, type, value, unit
Task: Fetch level from snow_depth that have at least one corresponding dew_point measurement for the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "dew_point",
"outer_alias": "mst",
"inner_alias": "cnd",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009854 | train |
v3 | Sensor network script:
Node: lightning | code: ref | fields: value, depth, type, lon
Sensor: uv_index | fields: lat, type, ts, lon
Task: Get lat from lightning where reading exceeds the maximum depth from uv_index for the same depth.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("uv_index", code="flx"),
match="depth"),
),
output="lat",
) | {
"outer_table": "lightning",
"inner_table": "uv_index",
"outer_alias": "ref",
"inner_alias": "flx",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009855 | train |
v3 | Sensor network script:
Node: pressure | code: mst | fields: ts, level, type, unit
Sensor: snow_depth | fields: lat, unit, level, value
Task: Fetch value from pressure where reading is greater than the minimum of value in snow_depth for matching depth.
Script: | readings = fetch(
node=Node("pressure", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("snow_depth", code="snw"),
match="depth"),
),
output="value",
) | {
"outer_table": "pressure",
"inner_table": "snow_depth",
"outer_alias": "mst",
"inner_alias": "snw",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009856 | train |
v3 | Sensor network script:
Node: frost | code: prt | fields: qc, depth, ts, lat
Sensor: humidity | fields: qc, lat, lon, level
Task: Retrieve lat from frost with value above the MAX(reading) of humidity readings sharing the same qc.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("humidity", code="hgr"),
match="qc"),
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "humidity",
"outer_alias": "prt",
"inner_alias": "hgr",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009857 | train |
v1 | Sensor network script:
Node: soil_moisture | code: stn | fields: level, type, qc, depth
Sensor: visibility | fields: type, level, lon, reading
Task: Retrieve lon from soil_moisture whose qc is found in visibility records where ts matches the outer node.
Script: | readings = fetch(
node=Node("soil_moisture", code="stn"),
filter=set_member(
field="qc",
source=Probe("visibility", code="clr"),
match="ts",
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "visibility",
"outer_alias": "stn",
"inner_alias": "clr",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009858 | train |
v1 | Sensor network script:
Node: sunlight | code: prt | fields: reading, lat, lon, level
Sensor: turbidity | fields: lat, reading, type, qc
Task: Retrieve lon from sunlight whose ts is found in turbidity records where unit matches the outer node.
Script: | readings = fetch(
node=Node("sunlight", code="prt"),
filter=set_member(
field="ts",
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="lon",
) | {
"outer_table": "sunlight",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009859 | train |
v2 | Sensor network script:
Node: frost | code: prt | fields: depth, unit, level, value
Sensor: rainfall | fields: unit, level, ts, depth
Task: Get depth from frost where a corresponding entry exists in rainfall with the same qc.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "rainfall",
"outer_alias": "prt",
"inner_alias": "rnfl",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009860 | train |
v1 | Sensor network script:
Node: lightning | code: hub | fields: type, qc, lon, unit
Sensor: snow_depth | fields: type, ts, unit, qc
Task: Get level from lightning where type appears in snow_depth readings with matching ts.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=set_member(
field="type",
source=Probe("snow_depth", code="snw"),
match="ts",
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "snow_depth",
"outer_alias": "hub",
"inner_alias": "snw",
"proj_col": "level",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009861 | train |
v3 | Sensor network script:
Node: frost | code: thr | fields: qc, depth, ts, reading
Sensor: visibility | fields: lat, type, qc, reading
Task: Fetch value from frost where reading is greater than the minimum of value in visibility for matching ts.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("visibility", code="clr"),
match="ts"),
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "visibility",
"outer_alias": "thr",
"inner_alias": "clr",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009862 | train |
v3 | Sensor network script:
Node: pressure | code: thr | fields: type, ts, unit, qc
Sensor: evaporation | fields: lat, value, reading, unit
Task: Get value from pressure where depth exceeds the average depth from evaporation for the same type.
Script: | readings = fetch(
node=Node("pressure", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "depth",
source=Probe("evaporation", code="evp"),
match="type"),
),
output="value",
) | {
"outer_table": "pressure",
"inner_table": "evaporation",
"outer_alias": "thr",
"inner_alias": "evp",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009863 | train |
v3 | Sensor network script:
Node: cloud_cover | code: hub | fields: reading, lat, ts, type
Sensor: visibility | fields: depth, lon, level, value
Task: Fetch lat from cloud_cover where reading is greater than the total of depth in visibility for matching qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "depth",
source=Probe("visibility", code="clr"),
match="qc"),
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "visibility",
"outer_alias": "hub",
"inner_alias": "clr",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009864 | train |
v2 | Sensor network script:
Node: visibility | code: mst | fields: depth, level, unit, value
Sensor: dew_point | fields: lat, type, ts, qc
Task: Get value from visibility where a corresponding entry exists in dew_point with the same unit.
Script: | readings = fetch(
node=Node("visibility", code="mst"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="value",
) | {
"outer_table": "visibility",
"inner_table": "dew_point",
"outer_alias": "mst",
"inner_alias": "cnd",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009865 | train |
v2 | Sensor network script:
Node: rainfall | code: thr | fields: lat, depth, lon, qc
Sensor: visibility | fields: level, unit, value, ts
Task: Get value from rainfall where a corresponding entry exists in visibility with the same qc.
Script: | readings = fetch(
node=Node("rainfall", code="thr"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="qc",
),
output="value",
) | {
"outer_table": "rainfall",
"inner_table": "visibility",
"outer_alias": "thr",
"inner_alias": "clr",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009866 | train |
v1 | Sensor network script:
Node: soil_moisture | code: stn | fields: qc, reading, value, lat
Sensor: sunlight | fields: depth, reading, ts, level
Task: Fetch depth from soil_moisture where type exists in sunlight sensor data for the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="stn"),
filter=set_member(
field="type",
source=Probe("sunlight", code="brt"),
match="type",
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "sunlight",
"outer_alias": "stn",
"inner_alias": "brt",
"proj_col": "depth",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009867 | train |
v2 | Sensor network script:
Node: sunlight | code: ref | fields: lon, level, qc, reading
Sensor: air_quality | fields: type, level, reading, ts
Task: Fetch level from sunlight that have at least one corresponding air_quality measurement for the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="qc",
),
output="level",
) | {
"outer_table": "sunlight",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009868 | train |
v3 | Sensor network script:
Node: drought_index | code: prt | fields: lon, level, depth, lat
Sensor: uv_index | fields: qc, unit, value, lat
Task: Get depth from drought_index where depth exceeds the total reading from uv_index for the same type.
Script: | readings = fetch(
node=Node("drought_index", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "reading",
source=Probe("uv_index", code="flx"),
match="type"),
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "uv_index",
"outer_alias": "prt",
"inner_alias": "flx",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009869 | train |
v3 | Sensor network script:
Node: snow_depth | code: clr | fields: unit, level, lat, lon
Sensor: dew_point | fields: depth, reading, type, lon
Task: Fetch lat from snow_depth where depth is greater than the maximum of value in dew_point for matching unit.
Script: | readings = fetch(
node=Node("snow_depth", code="clr"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "value",
source=Probe("dew_point", code="cnd"),
match="unit"),
),
output="lat",
) | {
"outer_table": "snow_depth",
"inner_table": "dew_point",
"outer_alias": "clr",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009870 | train |
v1 | Sensor network script:
Node: turbidity | code: gst | fields: value, depth, reading, lon
Sensor: sunlight | fields: unit, qc, type, lon
Task: Fetch lon from turbidity where ts exists in sunlight sensor data for the same type.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=set_member(
field="ts",
source=Probe("sunlight", code="brt"),
match="type",
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009871 | train |
v3 | Sensor network script:
Node: humidity | code: clr | fields: qc, reading, value, lat
Sensor: frost | fields: lon, ts, value, reading
Task: Fetch lat from humidity where value is greater than the maximum of reading in frost for matching depth.
Script: | readings = fetch(
node=Node("humidity", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("frost", code="frs"),
match="depth"),
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "frost",
"outer_alias": "clr",
"inner_alias": "frs",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009872 | train |
v3 | Sensor network script:
Node: soil_moisture | code: mst | fields: lat, lon, unit, ts
Sensor: lightning | fields: depth, lon, ts, level
Task: Retrieve value from soil_moisture with reading above the SUM(reading) of lightning readings sharing the same depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "reading",
source=Probe("lightning", code="tnd"),
match="depth"),
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009873 | train |
v3 | Sensor network script:
Node: frost | code: thr | fields: level, lat, reading, ts
Sensor: dew_point | fields: type, qc, depth, lat
Task: Get lat from frost where reading exceeds the count of depth from dew_point for the same qc.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "depth",
source=Probe("dew_point", code="cnd"),
match="qc"),
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009874 | train |
v3 | Sensor network script:
Node: dew_point | code: gst | fields: lon, value, lat, type
Sensor: drought_index | fields: qc, lon, type, value
Task: Fetch value from dew_point where depth is greater than the minimum of value in drought_index for matching ts.
Script: | readings = fetch(
node=Node("dew_point", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("drought_index", code="drt"),
match="ts"),
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "drought_index",
"outer_alias": "gst",
"inner_alias": "drt",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009875 | train |
v2 | Sensor network script:
Node: temperature | code: mst | fields: qc, depth, ts, lat
Sensor: turbidity | fields: unit, value, type, depth
Task: Get reading from temperature where a corresponding entry exists in turbidity with the same depth.
Script: | readings = fetch(
node=Node("temperature", code="mst"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "turbidity",
"outer_alias": "mst",
"inner_alias": "ftu",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009876 | train |
v1 | Sensor network script:
Node: lightning | code: prt | fields: ts, lon, value, level
Sensor: snow_depth | fields: depth, level, lon, lat
Task: Retrieve level from lightning whose ts is found in snow_depth records where unit matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=set_member(
field="ts",
source=Probe("snow_depth", code="snw"),
match="unit",
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "snow_depth",
"outer_alias": "prt",
"inner_alias": "snw",
"proj_col": "level",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009877 | train |
v1 | Sensor network script:
Node: air_quality | code: mst | fields: lat, reading, unit, value
Sensor: frost | fields: ts, reading, level, lat
Task: Fetch depth from air_quality where ts exists in frost sensor data for the same type.
Script: | readings = fetch(
node=Node("air_quality", code="mst"),
filter=set_member(
field="ts",
source=Probe("frost", code="frs"),
match="type",
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "frost",
"outer_alias": "mst",
"inner_alias": "frs",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009878 | train |
v1 | Sensor network script:
Node: evaporation | code: ref | fields: qc, unit, reading, value
Sensor: visibility | fields: lat, qc, unit, ts
Task: Fetch lat from evaporation where depth exists in visibility sensor data for the same type.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=set_member(
field="depth",
source=Probe("visibility", code="clr"),
match="type",
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009879 | train |
v2 | Sensor network script:
Node: rainfall | code: clr | fields: depth, type, value, level
Sensor: turbidity | fields: qc, level, lon, ts
Task: Get level from rainfall where a corresponding entry exists in turbidity with the same type.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="type",
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009880 | train |
v3 | Sensor network script:
Node: lightning | code: thr | fields: type, unit, depth, value
Sensor: dew_point | fields: value, qc, depth, level
Task: Get lat from lightning where reading exceeds the maximum depth from dew_point for the same unit.
Script: | readings = fetch(
node=Node("lightning", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("dew_point", code="cnd"),
match="unit"),
),
output="lat",
) | {
"outer_table": "lightning",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009881 | train |
v2 | Sensor network script:
Node: visibility | code: clr | fields: unit, qc, ts, depth
Sensor: turbidity | fields: value, unit, lat, type
Task: Fetch lon from visibility that have at least one corresponding turbidity measurement for the same qc.
Script: | readings = fetch(
node=Node("visibility", code="clr"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "lon",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009882 | train |
v2 | Sensor network script:
Node: sunlight | code: stn | fields: unit, value, lat, qc
Sensor: wind_speed | fields: lat, unit, type, ts
Task: Retrieve lat from sunlight that have at least one matching reading in wind_speed sharing the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="stn"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="qc",
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009883 | train |
v1 | Sensor network script:
Node: wind_speed | code: gst | fields: qc, lon, lat, depth
Sensor: soil_moisture | fields: ts, depth, qc, level
Task: Get depth from wind_speed where depth appears in soil_moisture readings with matching type.
Script: | readings = fetch(
node=Node("wind_speed", code="gst"),
filter=set_member(
field="depth",
source=Probe("soil_moisture", code="grvl"),
match="type",
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "soil_moisture",
"outer_alias": "gst",
"inner_alias": "grvl",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009884 | train |
v2 | Sensor network script:
Node: snow_depth | code: thr | fields: unit, qc, level, depth
Sensor: uv_index | fields: depth, unit, level, ts
Task: Retrieve depth from snow_depth that have at least one matching reading in uv_index sharing the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="qc",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "uv_index",
"outer_alias": "thr",
"inner_alias": "flx",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009885 | train |
v2 | Sensor network script:
Node: rainfall | code: hub | fields: qc, depth, unit, ts
Sensor: cloud_cover | fields: lon, unit, lat, reading
Task: Fetch depth from rainfall that have at least one corresponding cloud_cover measurement for the same qc.
Script: | readings = fetch(
node=Node("rainfall", code="hub"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "cloud_cover",
"outer_alias": "hub",
"inner_alias": "nbl",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009886 | train |
v3 | Sensor network script:
Node: visibility | code: thr | fields: lat, unit, depth, type
Sensor: humidity | fields: reading, lon, level, lat
Task: Get lon from visibility where value exceeds the count of value from humidity for the same depth.
Script: | readings = fetch(
node=Node("visibility", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "value",
source=Probe("humidity", code="hgr"),
match="depth"),
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "lon",
"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_009887 | train |
v1 | Sensor network script:
Node: wind_speed | code: mst | fields: qc, reading, lat, unit
Sensor: lightning | fields: level, reading, qc, value
Task: Fetch depth from wind_speed where depth exists in lightning sensor data for the same unit.
Script: | readings = fetch(
node=Node("wind_speed", code="mst"),
filter=set_member(
field="depth",
source=Probe("lightning", code="tnd"),
match="unit",
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009888 | train |
v3 | Sensor network script:
Node: dew_point | code: mst | fields: reading, qc, depth, lon
Sensor: sunlight | fields: depth, value, ts, type
Task: Get lat from dew_point where reading exceeds the maximum value from sunlight for the same type.
Script: | readings = fetch(
node=Node("dew_point", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "value",
source=Probe("sunlight", code="brt"),
match="type"),
),
output="lat",
) | {
"outer_table": "dew_point",
"inner_table": "sunlight",
"outer_alias": "mst",
"inner_alias": "brt",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009889 | train |
v1 | Sensor network script:
Node: air_quality | code: ref | fields: lon, unit, lat, type
Sensor: sunlight | fields: type, reading, value, depth
Task: Retrieve lon from air_quality whose depth is found in sunlight records where type matches the outer node.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=set_member(
field="depth",
source=Probe("sunlight", code="brt"),
match="type",
),
output="lon",
) | {
"outer_table": "air_quality",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009890 | train |
v1 | Sensor network script:
Node: pressure | code: gst | fields: lat, qc, ts, lon
Sensor: lightning | fields: lat, ts, reading, qc
Task: Retrieve depth from pressure whose depth is found in lightning records where unit matches the outer node.
Script: | readings = fetch(
node=Node("pressure", code="gst"),
filter=set_member(
field="depth",
source=Probe("lightning", code="tnd"),
match="unit",
),
output="depth",
) | {
"outer_table": "pressure",
"inner_table": "lightning",
"outer_alias": "gst",
"inner_alias": "tnd",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009891 | train |
v2 | Sensor network script:
Node: soil_moisture | code: mst | fields: ts, lat, reading, qc
Sensor: uv_index | fields: level, type, depth, qc
Task: Get depth from soil_moisture where a corresponding entry exists in uv_index with the same depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="depth",
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "uv_index",
"outer_alias": "mst",
"inner_alias": "flx",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009892 | train |
v1 | Sensor network script:
Node: snow_depth | code: stn | fields: unit, value, qc, lat
Sensor: soil_moisture | fields: lat, qc, value, reading
Task: Fetch reading from snow_depth where depth exists in soil_moisture sensor data for the same type.
Script: | readings = fetch(
node=Node("snow_depth", code="stn"),
filter=set_member(
field="depth",
source=Probe("soil_moisture", code="grvl"),
match="type",
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "soil_moisture",
"outer_alias": "stn",
"inner_alias": "grvl",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009893 | train |
v2 | Sensor network script:
Node: temperature | code: prt | fields: value, level, depth, lon
Sensor: rainfall | fields: level, unit, value, lon
Task: Fetch lat from temperature that have at least one corresponding rainfall measurement for the same qc.
Script: | readings = fetch(
node=Node("temperature", code="prt"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "rainfall",
"outer_alias": "prt",
"inner_alias": "rnfl",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009894 | train |
v2 | Sensor network script:
Node: rainfall | code: ref | fields: reading, level, ts, qc
Sensor: sunlight | fields: unit, lat, qc, level
Task: Retrieve reading from rainfall that have at least one matching reading in sunlight sharing the same type.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="type",
),
output="reading",
) | {
"outer_table": "rainfall",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009895 | train |
v1 | Sensor network script:
Node: lightning | code: prt | fields: ts, unit, level, type
Sensor: humidity | fields: qc, type, lat, ts
Task: Fetch level from lightning where depth exists in humidity sensor data for the same ts.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=set_member(
field="depth",
source=Probe("humidity", code="hgr"),
match="ts",
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "humidity",
"outer_alias": "prt",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009896 | train |
v1 | Sensor network script:
Node: wind_speed | code: thr | fields: level, lat, lon, ts
Sensor: humidity | fields: depth, level, reading, value
Task: Retrieve lon from wind_speed whose ts is found in humidity records where unit matches the outer node.
Script: | readings = fetch(
node=Node("wind_speed", code="thr"),
filter=set_member(
field="ts",
source=Probe("humidity", code="hgr"),
match="unit",
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009897 | train |
v3 | Sensor network script:
Node: sunlight | code: ref | fields: lat, level, lon, type
Sensor: air_quality | fields: lon, qc, value, type
Task: Retrieve level from sunlight with value above the MAX(value) of air_quality readings sharing the same ts.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "value",
source=Probe("air_quality", code="prt"),
match="ts"),
),
output="level",
) | {
"outer_table": "sunlight",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "level",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_009898 | train |
v2 | Sensor network script:
Node: dew_point | code: gst | fields: level, lon, qc, unit
Sensor: rainfall | fields: level, value, lon, type
Task: Fetch value from dew_point that have at least one corresponding rainfall measurement for the same type.
Script: | readings = fetch(
node=Node("dew_point", code="gst"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="type",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "rnfl",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_009899 | train |
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