variant stringclasses 3
values | prompt stringlengths 216 286 | query stringlengths 168 299 | metadata unknown | id stringlengths 28 28 | split stringclasses 1
value |
|---|---|---|---|---|---|
v2 | Sensor network script:
Node: soil_moisture | code: thr | fields: lat, value, qc, depth
Sensor: cloud_cover | fields: depth, type, unit, reading
Task: Fetch level from soil_moisture that have at least one corresponding cloud_cover measurement for the same depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="thr"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="depth",
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "cloud_cover",
"outer_alias": "thr",
"inner_alias": "nbl",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070300 | train |
v2 | Sensor network script:
Node: uv_index | code: ref | fields: lat, unit, lon, ts
Sensor: drought_index | fields: lon, value, type, ts
Task: Fetch lon from uv_index that have at least one corresponding drought_index measurement for the same depth.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="depth",
),
output="lon",
) | {
"outer_table": "uv_index",
"inner_table": "drought_index",
"outer_alias": "ref",
"inner_alias": "drt",
"proj_col": "lon",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070301 | train |
v3 | Sensor network script:
Node: uv_index | code: prt | fields: lon, type, qc, unit
Sensor: frost | fields: qc, lat, value, level
Task: Retrieve lat from uv_index with reading above the MAX(depth) of frost readings sharing the same depth.
Script: | readings = fetch(
node=Node("uv_index", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("frost", code="frs"),
match="depth"),
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "frost",
"outer_alias": "prt",
"inner_alias": "frs",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070302 | train |
v2 | Sensor network script:
Node: temperature | code: prt | fields: reading, qc, lon, depth
Sensor: snow_depth | fields: lon, value, reading, qc
Task: Fetch depth from temperature that have at least one corresponding snow_depth measurement for the same depth.
Script: | readings = fetch(
node=Node("temperature", code="prt"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="depth",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "snow_depth",
"outer_alias": "prt",
"inner_alias": "snw",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070303 | train |
v2 | Sensor network script:
Node: uv_index | code: prt | fields: type, qc, ts, depth
Sensor: cloud_cover | fields: lat, qc, level, unit
Task: Get value from uv_index where a corresponding entry exists in cloud_cover with the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="prt"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="value",
) | {
"outer_table": "uv_index",
"inner_table": "cloud_cover",
"outer_alias": "prt",
"inner_alias": "nbl",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070304 | train |
v1 | Sensor network script:
Node: dew_point | code: gst | fields: qc, depth, ts, lat
Sensor: lightning | fields: unit, value, type, ts
Task: Get value from dew_point where qc appears in lightning readings with matching type.
Script: | readings = fetch(
node=Node("dew_point", code="gst"),
filter=set_member(
field="qc",
source=Probe("lightning", code="tnd"),
match="type",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "lightning",
"outer_alias": "gst",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070305 | train |
v1 | Sensor network script:
Node: snow_depth | code: hub | fields: level, reading, qc, ts
Sensor: humidity | fields: reading, lon, unit, ts
Task: Fetch value from snow_depth where qc exists in humidity sensor data for the same type.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=set_member(
field="qc",
source=Probe("humidity", code="hgr"),
match="type",
),
output="value",
) | {
"outer_table": "snow_depth",
"inner_table": "humidity",
"outer_alias": "hub",
"inner_alias": "hgr",
"proj_col": "value",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070306 | train |
v2 | Sensor network script:
Node: temperature | code: gst | fields: value, unit, lon, lat
Sensor: cloud_cover | fields: depth, level, ts, reading
Task: Retrieve value from temperature that have at least one matching reading in cloud_cover sharing the same ts.
Script: | readings = fetch(
node=Node("temperature", code="gst"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="ts",
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "value",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070307 | train |
v2 | Sensor network script:
Node: evaporation | code: gst | fields: reading, qc, type, depth
Sensor: cloud_cover | fields: reading, depth, qc, value
Task: Fetch reading from evaporation that have at least one corresponding cloud_cover measurement for the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="gst"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070308 | train |
v2 | Sensor network script:
Node: wind_speed | code: stn | fields: type, value, unit, lon
Sensor: uv_index | fields: unit, value, depth, type
Task: Get level from wind_speed where a corresponding entry exists in uv_index with the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="type",
),
output="level",
) | {
"outer_table": "wind_speed",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070309 | train |
v3 | Sensor network script:
Node: turbidity | code: clr | fields: ts, value, qc, depth
Sensor: sunlight | fields: value, level, type, ts
Task: Fetch level from turbidity where reading is greater than the count of of depth in sunlight for matching depth.
Script: | readings = fetch(
node=Node("turbidity", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "depth",
source=Probe("sunlight", code="brt"),
match="depth"),
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "sunlight",
"outer_alias": "clr",
"inner_alias": "brt",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070310 | train |
v1 | Sensor network script:
Node: air_quality | code: ref | fields: ts, lon, level, unit
Sensor: visibility | fields: lon, level, type, reading
Task: Retrieve lon from air_quality whose depth is found in visibility records where qc matches the outer node.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=set_member(
field="depth",
source=Probe("visibility", code="clr"),
match="qc",
),
output="lon",
) | {
"outer_table": "air_quality",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070311 | train |
v2 | Sensor network script:
Node: rainfall | code: clr | fields: value, lat, level, type
Sensor: drought_index | fields: value, ts, unit, lon
Task: Fetch depth from rainfall that have at least one corresponding drought_index measurement for the same ts.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="ts",
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "drought_index",
"outer_alias": "clr",
"inner_alias": "drt",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070312 | train |
v2 | Sensor network script:
Node: cloud_cover | code: mst | fields: reading, ts, unit, depth
Sensor: lightning | fields: unit, lat, lon, reading
Task: Fetch lat from cloud_cover that have at least one corresponding lightning measurement for the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="mst"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="qc",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070313 | train |
v3 | Sensor network script:
Node: visibility | code: stn | fields: lon, value, ts, unit
Sensor: frost | fields: qc, reading, ts, lon
Task: Fetch level from visibility where depth is greater than the total of depth in frost for matching ts.
Script: | readings = fetch(
node=Node("visibility", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "depth",
source=Probe("frost", code="frs"),
match="ts"),
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "frost",
"outer_alias": "stn",
"inner_alias": "frs",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070314 | train |
v1 | Sensor network script:
Node: visibility | code: mst | fields: unit, level, reading, depth
Sensor: soil_moisture | fields: lat, qc, value, unit
Task: Fetch value from visibility where unit exists in soil_moisture sensor data for the same qc.
Script: | readings = fetch(
node=Node("visibility", code="mst"),
filter=set_member(
field="unit",
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="value",
) | {
"outer_table": "visibility",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "value",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070315 | train |
v2 | Sensor network script:
Node: drought_index | code: prt | fields: depth, lat, qc, ts
Sensor: frost | fields: depth, unit, ts, type
Task: Retrieve level from drought_index that have at least one matching reading in frost sharing the same unit.
Script: | readings = fetch(
node=Node("drought_index", code="prt"),
filter=has_match(
source=Probe("frost", code="frs"),
match="unit",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "frost",
"outer_alias": "prt",
"inner_alias": "frs",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070316 | train |
v2 | Sensor network script:
Node: visibility | code: gst | fields: unit, depth, type, reading
Sensor: dew_point | fields: lat, qc, ts, reading
Task: Retrieve lat from visibility that have at least one matching reading in dew_point sharing the same unit.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "dew_point",
"outer_alias": "gst",
"inner_alias": "cnd",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070317 | train |
v1 | Sensor network script:
Node: air_quality | code: gst | fields: level, depth, unit, lon
Sensor: humidity | fields: ts, reading, lat, lon
Task: Get value from air_quality where qc appears in humidity readings with matching unit.
Script: | readings = fetch(
node=Node("air_quality", code="gst"),
filter=set_member(
field="qc",
source=Probe("humidity", code="hgr"),
match="unit",
),
output="value",
) | {
"outer_table": "air_quality",
"inner_table": "humidity",
"outer_alias": "gst",
"inner_alias": "hgr",
"proj_col": "value",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070318 | train |
v2 | Sensor network script:
Node: snow_depth | code: thr | fields: unit, depth, lon, level
Sensor: cloud_cover | fields: lat, ts, reading, type
Task: Get level from snow_depth where a corresponding entry exists in cloud_cover with the same unit.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "cloud_cover",
"outer_alias": "thr",
"inner_alias": "nbl",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070319 | train |
v2 | Sensor network script:
Node: visibility | code: hub | fields: value, depth, level, type
Sensor: snow_depth | fields: unit, reading, qc, depth
Task: Fetch lon from visibility that have at least one corresponding snow_depth measurement for the same ts.
Script: | readings = fetch(
node=Node("visibility", code="hub"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="ts",
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "snow_depth",
"outer_alias": "hub",
"inner_alias": "snw",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070320 | train |
v2 | Sensor network script:
Node: cloud_cover | code: gst | fields: type, depth, reading, unit
Sensor: snow_depth | fields: lat, depth, lon, qc
Task: Get lat from cloud_cover where a corresponding entry exists in snow_depth with the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="gst"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="unit",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "snow_depth",
"outer_alias": "gst",
"inner_alias": "snw",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070321 | train |
v1 | Sensor network script:
Node: dew_point | code: hub | fields: level, lat, reading, value
Sensor: temperature | fields: ts, depth, level, reading
Task: Get value from dew_point where depth appears in temperature readings with matching type.
Script: | readings = fetch(
node=Node("dew_point", code="hub"),
filter=set_member(
field="depth",
source=Probe("temperature", code="thr"),
match="type",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "value",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070322 | train |
v1 | Sensor network script:
Node: sunlight | code: mst | fields: level, unit, type, lon
Sensor: cloud_cover | fields: ts, lon, depth, unit
Task: Retrieve depth from sunlight whose unit is found in cloud_cover records where qc matches the outer node.
Script: | readings = fetch(
node=Node("sunlight", code="mst"),
filter=set_member(
field="unit",
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "cloud_cover",
"outer_alias": "mst",
"inner_alias": "nbl",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070323 | train |
v1 | Sensor network script:
Node: air_quality | code: clr | fields: qc, lat, level, lon
Sensor: dew_point | fields: value, type, ts, unit
Task: Fetch depth from air_quality where unit exists in dew_point sensor data for the same unit.
Script: | readings = fetch(
node=Node("air_quality", code="clr"),
filter=set_member(
field="unit",
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "dew_point",
"outer_alias": "clr",
"inner_alias": "cnd",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070324 | train |
v2 | Sensor network script:
Node: frost | code: clr | fields: unit, lon, value, reading
Sensor: rainfall | fields: ts, qc, lon, value
Task: Fetch value from frost that have at least one corresponding rainfall measurement for the same ts.
Script: | readings = fetch(
node=Node("frost", code="clr"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="ts",
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "rainfall",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "value",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070325 | train |
v2 | Sensor network script:
Node: pressure | code: clr | fields: value, lat, lon, reading
Sensor: soil_moisture | fields: value, lon, qc, reading
Task: Fetch value from pressure that have at least one corresponding soil_moisture measurement for the same depth.
Script: | readings = fetch(
node=Node("pressure", code="clr"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="depth",
),
output="value",
) | {
"outer_table": "pressure",
"inner_table": "soil_moisture",
"outer_alias": "clr",
"inner_alias": "grvl",
"proj_col": "value",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070326 | train |
v3 | Sensor network script:
Node: cloud_cover | code: gst | fields: qc, depth, lon, level
Sensor: temperature | fields: ts, value, level, lon
Task: Fetch reading from cloud_cover where value is greater than the minimum of value in temperature for matching depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "value",
source=Probe("temperature", code="thr"),
match="depth"),
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070327 | train |
v1 | Sensor network script:
Node: evaporation | code: clr | fields: ts, lon, level, depth
Sensor: rainfall | fields: ts, value, type, unit
Task: Fetch reading from evaporation where ts exists in rainfall sensor data for the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=set_member(
field="ts",
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "rainfall",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070328 | train |
v2 | Sensor network script:
Node: drought_index | code: hub | fields: lat, type, lon, qc
Sensor: temperature | fields: lon, value, ts, type
Task: Fetch depth from drought_index that have at least one corresponding temperature measurement for the same type.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="type",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070329 | train |
v1 | Sensor network script:
Node: cloud_cover | code: ref | fields: level, lat, type, value
Sensor: humidity | fields: type, level, lon, unit
Task: Get reading from cloud_cover where ts appears in humidity readings with matching unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=set_member(
field="ts",
source=Probe("humidity", code="hgr"),
match="unit",
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "humidity",
"outer_alias": "ref",
"inner_alias": "hgr",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070330 | train |
v2 | Sensor network script:
Node: evaporation | code: mst | fields: depth, unit, lat, type
Sensor: humidity | fields: ts, qc, type, reading
Task: Retrieve level from evaporation that have at least one matching reading in humidity sharing the same unit.
Script: | readings = fetch(
node=Node("evaporation", code="mst"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="unit",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070331 | train |
v2 | Sensor network script:
Node: sunlight | code: hub | fields: level, unit, type, lat
Sensor: wind_speed | fields: reading, level, lon, lat
Task: Fetch value from sunlight that have at least one corresponding wind_speed measurement for the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="hub"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="qc",
),
output="value",
) | {
"outer_table": "sunlight",
"inner_table": "wind_speed",
"outer_alias": "hub",
"inner_alias": "gst",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070332 | train |
v3 | Sensor network script:
Node: frost | code: ref | fields: depth, lon, type, lat
Sensor: evaporation | fields: depth, lon, unit, reading
Task: Retrieve level from frost with value above the COUNT(reading) of evaporation readings sharing the same ts.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "reading",
source=Probe("evaporation", code="evp"),
match="ts"),
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "evaporation",
"outer_alias": "ref",
"inner_alias": "evp",
"proj_col": "level",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070333 | train |
v1 | Sensor network script:
Node: frost | code: ref | fields: qc, ts, level, depth
Sensor: lightning | fields: qc, ts, unit, reading
Task: Fetch lon from frost where type exists in lightning sensor data for the same type.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=set_member(
field="type",
source=Probe("lightning", code="tnd"),
match="type",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "lightning",
"outer_alias": "ref",
"inner_alias": "tnd",
"proj_col": "lon",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070334 | train |
v1 | Sensor network script:
Node: evaporation | code: hub | fields: lon, level, value, lat
Sensor: rainfall | fields: ts, value, unit, depth
Task: Fetch lat from evaporation where ts exists in rainfall sensor data for the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="hub"),
filter=set_member(
field="ts",
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "rainfall",
"outer_alias": "hub",
"inner_alias": "rnfl",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070335 | train |
v2 | Sensor network script:
Node: sunlight | code: hub | fields: value, depth, reading, qc
Sensor: evaporation | fields: lat, qc, type, reading
Task: Get value from sunlight where a corresponding entry exists in evaporation with the same unit.
Script: | readings = fetch(
node=Node("sunlight", code="hub"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="unit",
),
output="value",
) | {
"outer_table": "sunlight",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070336 | train |
v3 | Sensor network script:
Node: temperature | code: hub | fields: lat, reading, qc, unit
Sensor: dew_point | fields: unit, qc, depth, level
Task: Fetch level from temperature where depth is greater than the maximum of value in dew_point for matching ts.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "value",
source=Probe("dew_point", code="cnd"),
match="ts"),
),
output="level",
) | {
"outer_table": "temperature",
"inner_table": "dew_point",
"outer_alias": "hub",
"inner_alias": "cnd",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070337 | train |
v1 | Sensor network script:
Node: dew_point | code: gst | fields: qc, lon, reading, unit
Sensor: cloud_cover | fields: value, lon, type, level
Task: Fetch value from dew_point where depth exists in cloud_cover sensor data for the same type.
Script: | readings = fetch(
node=Node("dew_point", code="gst"),
filter=set_member(
field="depth",
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "value",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070338 | train |
v3 | Sensor network script:
Node: lightning | code: gst | fields: qc, reading, lon, type
Sensor: visibility | fields: qc, depth, lat, ts
Task: Retrieve depth from lightning with depth above the SUM(depth) of visibility readings sharing the same depth.
Script: | readings = fetch(
node=Node("lightning", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "depth",
source=Probe("visibility", code="clr"),
match="depth"),
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "visibility",
"outer_alias": "gst",
"inner_alias": "clr",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070339 | train |
v2 | Sensor network script:
Node: cloud_cover | code: stn | fields: lon, level, ts, type
Sensor: sunlight | fields: lat, level, type, lon
Task: Retrieve value from cloud_cover that have at least one matching reading in sunlight sharing the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="depth",
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "sunlight",
"outer_alias": "stn",
"inner_alias": "brt",
"proj_col": "value",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070340 | train |
v2 | Sensor network script:
Node: visibility | code: thr | fields: lon, qc, reading, type
Sensor: uv_index | fields: type, lat, unit, lon
Task: Get level from visibility where a corresponding entry exists in uv_index with the same type.
Script: | readings = fetch(
node=Node("visibility", code="thr"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="type",
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "uv_index",
"outer_alias": "thr",
"inner_alias": "flx",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070341 | train |
v3 | Sensor network script:
Node: frost | code: mst | fields: lon, reading, depth, ts
Sensor: turbidity | fields: value, level, lat, unit
Task: Fetch lon from frost where reading is greater than the count of of value in turbidity for matching unit.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("turbidity", code="ftu"),
match="unit"),
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "turbidity",
"outer_alias": "mst",
"inner_alias": "ftu",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070342 | train |
v3 | Sensor network script:
Node: wind_speed | code: hub | fields: lat, depth, qc, value
Sensor: frost | fields: qc, level, ts, value
Task: Get lon from wind_speed where reading exceeds the maximum depth from frost for the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("frost", code="frs"),
match="type"),
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070343 | train |
v1 | Sensor network script:
Node: snow_depth | code: hub | fields: type, qc, level, unit
Sensor: cloud_cover | fields: type, level, lat, unit
Task: Retrieve reading from snow_depth whose unit is found in cloud_cover records where unit matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=set_member(
field="unit",
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "cloud_cover",
"outer_alias": "hub",
"inner_alias": "nbl",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070344 | train |
v2 | Sensor network script:
Node: wind_speed | code: stn | fields: level, lat, type, depth
Sensor: pressure | fields: value, reading, qc, lat
Task: Fetch lat from wind_speed that have at least one corresponding pressure measurement for the same unit.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="unit",
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "pressure",
"outer_alias": "stn",
"inner_alias": "mbl",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070345 | train |
v1 | Sensor network script:
Node: lightning | code: thr | fields: lon, ts, type, unit
Sensor: humidity | fields: level, lat, qc, lon
Task: Get reading from lightning where type appears in humidity readings with matching qc.
Script: | readings = fetch(
node=Node("lightning", code="thr"),
filter=set_member(
field="type",
source=Probe("humidity", code="hgr"),
match="qc",
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "reading",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070346 | train |
v1 | Sensor network script:
Node: lightning | code: thr | fields: ts, value, lon, qc
Sensor: sunlight | fields: lat, depth, level, type
Task: Get depth from lightning where unit appears in sunlight readings with matching unit.
Script: | readings = fetch(
node=Node("lightning", code="thr"),
filter=set_member(
field="unit",
source=Probe("sunlight", code="brt"),
match="unit",
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "sunlight",
"outer_alias": "thr",
"inner_alias": "brt",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070347 | train |
v2 | Sensor network script:
Node: air_quality | code: ref | fields: depth, reading, lon, value
Sensor: soil_moisture | fields: unit, depth, ts, lat
Task: Get reading from air_quality where a corresponding entry exists in soil_moisture with the same type.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="type",
),
output="reading",
) | {
"outer_table": "air_quality",
"inner_table": "soil_moisture",
"outer_alias": "ref",
"inner_alias": "grvl",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070348 | train |
v3 | Sensor network script:
Node: sunlight | code: hub | fields: qc, unit, value, reading
Sensor: soil_moisture | fields: ts, lon, unit, reading
Task: Get depth from sunlight where value exceeds the average depth from soil_moisture for the same ts.
Script: | readings = fetch(
node=Node("sunlight", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("soil_moisture", code="grvl"),
match="ts"),
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "soil_moisture",
"outer_alias": "hub",
"inner_alias": "grvl",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070349 | train |
v1 | Sensor network script:
Node: frost | code: gst | fields: level, ts, lat, value
Sensor: drought_index | fields: unit, depth, type, level
Task: Get depth from frost where qc appears in drought_index readings with matching qc.
Script: | readings = fetch(
node=Node("frost", code="gst"),
filter=set_member(
field="qc",
source=Probe("drought_index", code="drt"),
match="qc",
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "drought_index",
"outer_alias": "gst",
"inner_alias": "drt",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070350 | train |
v3 | Sensor network script:
Node: pressure | code: mst | fields: value, unit, lon, qc
Sensor: sunlight | fields: unit, level, lon, type
Task: Get lat from pressure where value exceeds the maximum depth from sunlight for the same depth.
Script: | readings = fetch(
node=Node("pressure", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "depth",
source=Probe("sunlight", code="brt"),
match="depth"),
),
output="lat",
) | {
"outer_table": "pressure",
"inner_table": "sunlight",
"outer_alias": "mst",
"inner_alias": "brt",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070351 | train |
v1 | Sensor network script:
Node: snow_depth | code: mst | fields: qc, reading, unit, lon
Sensor: dew_point | fields: lon, depth, unit, lat
Task: Retrieve lat from snow_depth whose depth is found in dew_point records where depth matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=set_member(
field="depth",
source=Probe("dew_point", code="cnd"),
match="depth",
),
output="lat",
) | {
"outer_table": "snow_depth",
"inner_table": "dew_point",
"outer_alias": "mst",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070352 | train |
v2 | Sensor network script:
Node: wind_speed | code: thr | fields: qc, value, reading, type
Sensor: air_quality | fields: level, ts, unit, type
Task: Get depth from wind_speed where a corresponding entry exists in air_quality with the same ts.
Script: | readings = fetch(
node=Node("wind_speed", code="thr"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="ts",
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "air_quality",
"outer_alias": "thr",
"inner_alias": "prt",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070353 | train |
v1 | Sensor network script:
Node: temperature | code: thr | fields: lat, ts, unit, qc
Sensor: air_quality | fields: type, value, lat, unit
Task: Retrieve lon from temperature whose ts is found in air_quality records where depth matches the outer node.
Script: | readings = fetch(
node=Node("temperature", code="thr"),
filter=set_member(
field="ts",
source=Probe("air_quality", code="prt"),
match="depth",
),
output="lon",
) | {
"outer_table": "temperature",
"inner_table": "air_quality",
"outer_alias": "thr",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070354 | train |
v1 | Sensor network script:
Node: drought_index | code: hub | fields: lon, unit, value, depth
Sensor: turbidity | fields: lat, value, depth, reading
Task: Get depth from drought_index where type appears in turbidity readings with matching depth.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=set_member(
field="type",
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "turbidity",
"outer_alias": "hub",
"inner_alias": "ftu",
"proj_col": "depth",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070355 | train |
v3 | Sensor network script:
Node: frost | code: thr | fields: reading, ts, type, lon
Sensor: visibility | fields: lon, unit, lat, depth
Task: Fetch value from frost where depth is greater than the maximum of depth in visibility for matching type.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "depth",
source=Probe("visibility", code="clr"),
match="type"),
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "visibility",
"outer_alias": "thr",
"inner_alias": "clr",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070356 | train |
v2 | Sensor network script:
Node: wind_speed | code: hub | fields: lat, lon, reading, level
Sensor: visibility | fields: lat, unit, value, type
Task: Fetch depth from wind_speed that have at least one corresponding visibility measurement for the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="type",
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "visibility",
"outer_alias": "hub",
"inner_alias": "clr",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070357 | train |
v2 | Sensor network script:
Node: temperature | code: mst | fields: unit, lon, type, level
Sensor: drought_index | fields: lon, qc, ts, lat
Task: Retrieve reading from temperature that have at least one matching reading in drought_index sharing the same ts.
Script: | readings = fetch(
node=Node("temperature", code="mst"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="ts",
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "drought_index",
"outer_alias": "mst",
"inner_alias": "drt",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070358 | train |
v1 | Sensor network script:
Node: evaporation | code: hub | fields: qc, type, level, reading
Sensor: soil_moisture | fields: level, lat, ts, lon
Task: Fetch lat from evaporation where qc exists in soil_moisture sensor data for the same ts.
Script: | readings = fetch(
node=Node("evaporation", code="hub"),
filter=set_member(
field="qc",
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "soil_moisture",
"outer_alias": "hub",
"inner_alias": "grvl",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070359 | train |
v2 | Sensor network script:
Node: soil_moisture | code: stn | fields: value, qc, reading, level
Sensor: visibility | fields: level, lon, reading, value
Task: Get level from soil_moisture where a corresponding entry exists in visibility with the same unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="stn"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="unit",
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "visibility",
"outer_alias": "stn",
"inner_alias": "clr",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070360 | train |
v2 | Sensor network script:
Node: soil_moisture | code: gst | fields: value, unit, lon, level
Sensor: humidity | fields: value, depth, reading, unit
Task: Fetch depth from soil_moisture that have at least one corresponding humidity measurement for the same unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="gst"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="unit",
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "humidity",
"outer_alias": "gst",
"inner_alias": "hgr",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070361 | train |
v3 | Sensor network script:
Node: dew_point | code: hub | fields: depth, type, lat, ts
Sensor: snow_depth | fields: lat, qc, unit, level
Task: Retrieve level from dew_point with value above the AVG(reading) of snow_depth readings sharing the same depth.
Script: | readings = fetch(
node=Node("dew_point", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "reading",
source=Probe("snow_depth", code="snw"),
match="depth"),
),
output="level",
) | {
"outer_table": "dew_point",
"inner_table": "snow_depth",
"outer_alias": "hub",
"inner_alias": "snw",
"proj_col": "level",
"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_070362 | train |
v2 | Sensor network script:
Node: lightning | code: ref | fields: lon, type, ts, depth
Sensor: snow_depth | fields: lon, unit, depth, lat
Task: Retrieve value from lightning that have at least one matching reading in snow_depth sharing the same type.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="type",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "snow_depth",
"outer_alias": "ref",
"inner_alias": "snw",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070363 | train |
v3 | Sensor network script:
Node: turbidity | code: stn | fields: unit, level, qc, type
Sensor: air_quality | fields: type, level, ts, unit
Task: Get reading from turbidity where reading exceeds the minimum reading from air_quality for the same ts.
Script: | readings = fetch(
node=Node("turbidity", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "reading",
source=Probe("air_quality", code="prt"),
match="ts"),
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "air_quality",
"outer_alias": "stn",
"inner_alias": "prt",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070364 | train |
v1 | Sensor network script:
Node: air_quality | code: clr | fields: unit, value, type, qc
Sensor: evaporation | fields: unit, level, ts, depth
Task: Get level from air_quality where qc appears in evaporation readings with matching unit.
Script: | readings = fetch(
node=Node("air_quality", code="clr"),
filter=set_member(
field="qc",
source=Probe("evaporation", code="evp"),
match="unit",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "evaporation",
"outer_alias": "clr",
"inner_alias": "evp",
"proj_col": "level",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070365 | train |
v1 | Sensor network script:
Node: frost | code: ref | fields: lat, reading, level, ts
Sensor: cloud_cover | fields: value, lon, lat, level
Task: Retrieve reading from frost whose qc is found in cloud_cover records where depth matches the outer node.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=set_member(
field="qc",
source=Probe("cloud_cover", code="nbl"),
match="depth",
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070366 | train |
v2 | Sensor network script:
Node: evaporation | code: mst | fields: depth, value, unit, qc
Sensor: drought_index | fields: lon, lat, level, depth
Task: Fetch depth from evaporation that have at least one corresponding drought_index measurement for the same ts.
Script: | readings = fetch(
node=Node("evaporation", code="mst"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="ts",
),
output="depth",
) | {
"outer_table": "evaporation",
"inner_table": "drought_index",
"outer_alias": "mst",
"inner_alias": "drt",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070367 | train |
v1 | Sensor network script:
Node: air_quality | code: gst | fields: ts, qc, reading, type
Sensor: sunlight | fields: unit, reading, lat, value
Task: Fetch level from air_quality where unit exists in sunlight sensor data for the same depth.
Script: | readings = fetch(
node=Node("air_quality", code="gst"),
filter=set_member(
field="unit",
source=Probe("sunlight", code="brt"),
match="depth",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "level",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070368 | train |
v1 | Sensor network script:
Node: frost | code: prt | fields: lat, type, unit, level
Sensor: snow_depth | fields: reading, qc, unit, ts
Task: Retrieve depth from frost whose type is found in snow_depth records where qc matches the outer node.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=set_member(
field="type",
source=Probe("snow_depth", code="snw"),
match="qc",
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "snow_depth",
"outer_alias": "prt",
"inner_alias": "snw",
"proj_col": "depth",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070369 | train |
v3 | Sensor network script:
Node: cloud_cover | code: prt | fields: value, reading, level, lat
Sensor: turbidity | fields: depth, lat, level, type
Task: Retrieve level from cloud_cover with depth above the AVG(reading) of turbidity readings sharing the same type.
Script: | readings = fetch(
node=Node("cloud_cover", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("turbidity", code="ftu"),
match="type"),
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070370 | train |
v3 | Sensor network script:
Node: air_quality | code: gst | fields: qc, depth, type, value
Sensor: pressure | fields: qc, unit, type, lon
Task: Fetch level from air_quality where value is greater than the total of reading in pressure for matching depth.
Script: | readings = fetch(
node=Node("air_quality", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("pressure", code="mbl"),
match="depth"),
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "level",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070371 | train |
v3 | Sensor network script:
Node: air_quality | code: mst | fields: type, lon, depth, qc
Sensor: drought_index | fields: lon, qc, ts, reading
Task: Get value from air_quality where depth exceeds the count of reading from drought_index for the same ts.
Script: | readings = fetch(
node=Node("air_quality", code="mst"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "reading",
source=Probe("drought_index", code="drt"),
match="ts"),
),
output="value",
) | {
"outer_table": "air_quality",
"inner_table": "drought_index",
"outer_alias": "mst",
"inner_alias": "drt",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070372 | train |
v3 | Sensor network script:
Node: frost | code: gst | fields: value, reading, type, level
Sensor: visibility | fields: qc, level, value, unit
Task: Fetch reading from frost where depth is greater than the minimum of value in visibility for matching unit.
Script: | readings = fetch(
node=Node("frost", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("visibility", code="clr"),
match="unit"),
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "visibility",
"outer_alias": "gst",
"inner_alias": "clr",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070373 | train |
v2 | Sensor network script:
Node: lightning | code: ref | fields: level, unit, value, ts
Sensor: frost | fields: depth, lon, lat, ts
Task: Retrieve reading from lightning that have at least one matching reading in frost sharing the same depth.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=has_match(
source=Probe("frost", code="frs"),
match="depth",
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "frost",
"outer_alias": "ref",
"inner_alias": "frs",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070374 | train |
v1 | Sensor network script:
Node: cloud_cover | code: stn | fields: level, ts, qc, lon
Sensor: lightning | fields: level, value, ts, depth
Task: Fetch value from cloud_cover where type exists in lightning sensor data for the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=set_member(
field="type",
source=Probe("lightning", code="tnd"),
match="unit",
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "lightning",
"outer_alias": "stn",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070375 | train |
v2 | Sensor network script:
Node: pressure | code: stn | fields: qc, level, lat, type
Sensor: dew_point | fields: ts, value, reading, depth
Task: Retrieve level from pressure that have at least one matching reading in dew_point sharing the same type.
Script: | readings = fetch(
node=Node("pressure", code="stn"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="type",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "dew_point",
"outer_alias": "stn",
"inner_alias": "cnd",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070376 | train |
v1 | Sensor network script:
Node: lightning | code: hub | fields: level, unit, depth, type
Sensor: snow_depth | fields: lat, depth, value, type
Task: Retrieve lon from lightning whose type is found in snow_depth records where ts matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=set_member(
field="type",
source=Probe("snow_depth", code="snw"),
match="ts",
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "snow_depth",
"outer_alias": "hub",
"inner_alias": "snw",
"proj_col": "lon",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070377 | train |
v1 | Sensor network script:
Node: temperature | code: mst | fields: lon, type, depth, level
Sensor: snow_depth | fields: ts, level, unit, type
Task: Retrieve value from temperature whose unit is found in snow_depth records where unit matches the outer node.
Script: | readings = fetch(
node=Node("temperature", code="mst"),
filter=set_member(
field="unit",
source=Probe("snow_depth", code="snw"),
match="unit",
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "snow_depth",
"outer_alias": "mst",
"inner_alias": "snw",
"proj_col": "value",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070378 | train |
v3 | Sensor network script:
Node: frost | code: prt | fields: value, reading, lat, unit
Sensor: lightning | fields: lat, type, unit, reading
Task: Fetch value from frost where reading is greater than the maximum of depth in lightning for matching type.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("lightning", code="tnd"),
match="type"),
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "lightning",
"outer_alias": "prt",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070379 | train |
v3 | Sensor network script:
Node: cloud_cover | code: thr | fields: unit, ts, lon, value
Sensor: wind_speed | fields: type, lat, reading, lon
Task: Get value from cloud_cover where depth exceeds the total value from wind_speed for the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "value",
source=Probe("wind_speed", code="gst"),
match="qc"),
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "wind_speed",
"outer_alias": "thr",
"inner_alias": "gst",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070380 | train |
v3 | Sensor network script:
Node: lightning | code: ref | fields: reading, lat, depth, lon
Sensor: dew_point | fields: type, qc, ts, depth
Task: Get value from lightning where value exceeds the maximum value from dew_point for the same qc.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "value",
source=Probe("dew_point", code="cnd"),
match="qc"),
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "value",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070381 | train |
v2 | Sensor network script:
Node: temperature | code: mst | fields: level, qc, lat, unit
Sensor: air_quality | fields: lat, level, reading, depth
Task: Fetch reading from temperature that have at least one corresponding air_quality measurement for the same type.
Script: | readings = fetch(
node=Node("temperature", code="mst"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="type",
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070382 | train |
v1 | Sensor network script:
Node: uv_index | code: stn | fields: ts, depth, lon, qc
Sensor: soil_moisture | fields: qc, lon, reading, value
Task: Get lon from uv_index where ts appears in soil_moisture readings with matching ts.
Script: | readings = fetch(
node=Node("uv_index", code="stn"),
filter=set_member(
field="ts",
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="lon",
) | {
"outer_table": "uv_index",
"inner_table": "soil_moisture",
"outer_alias": "stn",
"inner_alias": "grvl",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070383 | train |
v3 | Sensor network script:
Node: wind_speed | code: stn | fields: reading, type, value, depth
Sensor: cloud_cover | fields: depth, ts, qc, value
Task: Fetch lat from wind_speed where depth is greater than the average of value in cloud_cover for matching ts.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("cloud_cover", code="nbl"),
match="ts"),
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "cloud_cover",
"outer_alias": "stn",
"inner_alias": "nbl",
"proj_col": "lat",
"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_070384 | train |
v3 | Sensor network script:
Node: sunlight | code: ref | fields: unit, depth, type, lat
Sensor: lightning | fields: ts, type, value, reading
Task: Retrieve lon from sunlight with depth above the COUNT(reading) of lightning readings sharing the same depth.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "reading",
source=Probe("lightning", code="tnd"),
match="depth"),
),
output="lon",
) | {
"outer_table": "sunlight",
"inner_table": "lightning",
"outer_alias": "ref",
"inner_alias": "tnd",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070385 | train |
v3 | Sensor network script:
Node: evaporation | code: clr | fields: level, reading, depth, type
Sensor: air_quality | fields: value, depth, lon, qc
Task: Fetch lon from evaporation where value is greater than the total of value in air_quality for matching depth.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "value",
source=Probe("air_quality", code="prt"),
match="depth"),
),
output="lon",
) | {
"outer_table": "evaporation",
"inner_table": "air_quality",
"outer_alias": "clr",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070386 | train |
v2 | Sensor network script:
Node: turbidity | code: clr | fields: value, qc, lat, depth
Sensor: rainfall | fields: value, reading, qc, type
Task: Get level from turbidity where a corresponding entry exists in rainfall with the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="clr"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "rainfall",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070387 | train |
v3 | Sensor network script:
Node: lightning | code: ref | fields: ts, unit, value, lat
Sensor: rainfall | fields: value, unit, ts, qc
Task: Get depth from lightning where depth exceeds the average reading from rainfall for the same unit.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("rainfall", code="rnfl"),
match="unit"),
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070388 | train |
v3 | Sensor network script:
Node: soil_moisture | code: thr | fields: qc, unit, level, ts
Sensor: uv_index | fields: type, unit, value, qc
Task: Get value from soil_moisture where depth exceeds the average depth from uv_index for the same depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "depth",
source=Probe("uv_index", code="flx"),
match="depth"),
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "uv_index",
"outer_alias": "thr",
"inner_alias": "flx",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070389 | train |
v2 | Sensor network script:
Node: frost | code: hub | fields: unit, level, qc, lat
Sensor: evaporation | fields: depth, unit, ts, lat
Task: Fetch lon from frost that have at least one corresponding evaporation measurement for the same type.
Script: | readings = fetch(
node=Node("frost", code="hub"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="type",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070390 | train |
v1 | Sensor network script:
Node: drought_index | code: hub | fields: ts, reading, qc, unit
Sensor: turbidity | fields: ts, type, value, lat
Task: Fetch reading from drought_index where qc exists in turbidity sensor data for the same depth.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=set_member(
field="qc",
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "turbidity",
"outer_alias": "hub",
"inner_alias": "ftu",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070391 | train |
v2 | Sensor network script:
Node: snow_depth | code: gst | fields: lat, depth, type, level
Sensor: dew_point | fields: reading, unit, qc, lat
Task: Retrieve reading 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="gst"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="ts",
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "dew_point",
"outer_alias": "gst",
"inner_alias": "cnd",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070392 | train |
v2 | Sensor network script:
Node: cloud_cover | code: prt | fields: lon, depth, value, reading
Sensor: turbidity | fields: type, qc, value, level
Task: Get depth from cloud_cover where a corresponding entry exists in turbidity with the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="prt"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070393 | train |
v3 | Sensor network script:
Node: pressure | code: prt | fields: unit, type, ts, lat
Sensor: temperature | fields: lon, value, lat, type
Task: Retrieve reading from pressure with value above the SUM(reading) of temperature readings sharing the same depth.
Script: | readings = fetch(
node=Node("pressure", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("temperature", code="thr"),
match="depth"),
),
output="reading",
) | {
"outer_table": "pressure",
"inner_table": "temperature",
"outer_alias": "prt",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070394 | train |
v3 | Sensor network script:
Node: uv_index | code: ref | fields: lat, qc, level, depth
Sensor: turbidity | fields: level, ts, qc, depth
Task: Retrieve level from uv_index with value above the AVG(depth) of turbidity readings sharing the same depth.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("turbidity", code="ftu"),
match="depth"),
),
output="level",
) | {
"outer_table": "uv_index",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070395 | train |
v3 | Sensor network script:
Node: lightning | code: prt | fields: reading, value, lon, qc
Sensor: temperature | fields: type, ts, depth, qc
Task: Fetch level from lightning where reading is greater than the maximum of depth in temperature for matching unit.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("temperature", code="thr"),
match="unit"),
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "temperature",
"outer_alias": "prt",
"inner_alias": "thr",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070396 | train |
v1 | Sensor network script:
Node: lightning | code: gst | fields: lat, lon, depth, value
Sensor: cloud_cover | fields: level, type, ts, lat
Task: Get depth from lightning where depth appears in cloud_cover readings with matching depth.
Script: | readings = fetch(
node=Node("lightning", code="gst"),
filter=set_member(
field="depth",
source=Probe("cloud_cover", code="nbl"),
match="depth",
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_070397 | train |
v3 | Sensor network script:
Node: air_quality | code: hub | fields: level, lon, reading, unit
Sensor: temperature | fields: qc, unit, level, ts
Task: Get value from air_quality where value exceeds the total depth from temperature for the same qc.
Script: | readings = fetch(
node=Node("air_quality", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "depth",
source=Probe("temperature", code="thr"),
match="qc"),
),
output="value",
) | {
"outer_table": "air_quality",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "value",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070398 | train |
v3 | Sensor network script:
Node: cloud_cover | code: ref | fields: reading, lon, value, unit
Sensor: temperature | fields: level, qc, value, reading
Task: Get lat from cloud_cover where reading exceeds the minimum value from temperature for the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("temperature", code="thr"),
match="qc"),
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "thr",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_070399 | train |
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