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: cloud_cover | code: gst | fields: qc, value, level, type
Sensor: temperature | fields: reading, lon, type, depth
Task: Retrieve lat from cloud_cover that have at least one matching reading in temperature sharing the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="gst"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="depth",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "lat",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080300 | train |
v2 | Sensor network script:
Node: temperature | code: gst | fields: value, ts, type, unit
Sensor: evaporation | fields: ts, value, lon, level
Task: Fetch value from temperature that have at least one corresponding evaporation measurement for the same unit.
Script: | readings = fetch(
node=Node("temperature", code="gst"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="unit",
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "evaporation",
"outer_alias": "gst",
"inner_alias": "evp",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080301 | train |
v2 | Sensor network script:
Node: lightning | code: gst | fields: qc, depth, ts, lon
Sensor: sunlight | fields: lon, depth, qc, ts
Task: Get value from lightning where a corresponding entry exists in sunlight with the same depth.
Script: | readings = fetch(
node=Node("lightning", code="gst"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="depth",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "value",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080302 | train |
v1 | Sensor network script:
Node: dew_point | code: mst | fields: lon, unit, type, reading
Sensor: snow_depth | fields: reading, depth, type, level
Task: Retrieve depth from dew_point whose type is found in snow_depth records where depth matches the outer node.
Script: | readings = fetch(
node=Node("dew_point", code="mst"),
filter=set_member(
field="type",
source=Probe("snow_depth", code="snw"),
match="depth",
),
output="depth",
) | {
"outer_table": "dew_point",
"inner_table": "snow_depth",
"outer_alias": "mst",
"inner_alias": "snw",
"proj_col": "depth",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080303 | train |
v2 | Sensor network script:
Node: evaporation | code: hub | fields: value, unit, qc, ts
Sensor: wind_speed | fields: lon, value, unit, type
Task: Retrieve level from evaporation that have at least one matching reading in wind_speed sharing the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="hub"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="qc",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "wind_speed",
"outer_alias": "hub",
"inner_alias": "gst",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080304 | train |
v2 | Sensor network script:
Node: snow_depth | code: stn | fields: depth, reading, qc, ts
Sensor: soil_moisture | fields: depth, type, reading, unit
Task: Fetch reading from snow_depth that have at least one corresponding soil_moisture measurement for the same ts.
Script: | readings = fetch(
node=Node("snow_depth", code="stn"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "soil_moisture",
"outer_alias": "stn",
"inner_alias": "grvl",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080305 | train |
v1 | Sensor network script:
Node: humidity | code: gst | fields: depth, ts, lat, unit
Sensor: cloud_cover | fields: unit, qc, reading, ts
Task: Retrieve level from humidity whose qc is found in cloud_cover records where depth matches the outer node.
Script: | readings = fetch(
node=Node("humidity", code="gst"),
filter=set_member(
field="qc",
source=Probe("cloud_cover", code="nbl"),
match="depth",
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "level",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080306 | train |
v1 | Sensor network script:
Node: visibility | code: thr | fields: value, qc, level, lat
Sensor: dew_point | fields: ts, reading, type, depth
Task: Retrieve lat from visibility whose depth is found in dew_point records where qc matches the outer node.
Script: | readings = fetch(
node=Node("visibility", code="thr"),
filter=set_member(
field="depth",
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080307 | train |
v1 | Sensor network script:
Node: dew_point | code: stn | fields: lon, depth, lat, reading
Sensor: wind_speed | fields: lat, value, reading, lon
Task: Get reading from dew_point where depth appears in wind_speed readings with matching unit.
Script: | readings = fetch(
node=Node("dew_point", code="stn"),
filter=set_member(
field="depth",
source=Probe("wind_speed", code="gst"),
match="unit",
),
output="reading",
) | {
"outer_table": "dew_point",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080308 | train |
v1 | Sensor network script:
Node: temperature | code: prt | fields: depth, unit, value, lat
Sensor: dew_point | fields: lat, unit, lon, ts
Task: Fetch level from temperature where unit exists in dew_point sensor data for the same ts.
Script: | readings = fetch(
node=Node("temperature", code="prt"),
filter=set_member(
field="unit",
source=Probe("dew_point", code="cnd"),
match="ts",
),
output="level",
) | {
"outer_table": "temperature",
"inner_table": "dew_point",
"outer_alias": "prt",
"inner_alias": "cnd",
"proj_col": "level",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080309 | train |
v1 | Sensor network script:
Node: air_quality | code: ref | fields: type, value, depth, lon
Sensor: turbidity | fields: depth, ts, unit, type
Task: Retrieve level from air_quality whose ts is found in turbidity records where qc matches the outer node.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=set_member(
field="ts",
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080310 | train |
v1 | Sensor network script:
Node: visibility | code: clr | fields: ts, qc, lon, unit
Sensor: rainfall | fields: ts, value, reading, lat
Task: Retrieve depth from visibility whose type is found in rainfall records where qc matches the outer node.
Script: | readings = fetch(
node=Node("visibility", code="clr"),
filter=set_member(
field="type",
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "rainfall",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080311 | train |
v1 | Sensor network script:
Node: lightning | code: mst | fields: qc, reading, depth, value
Sensor: dew_point | fields: type, depth, reading, lon
Task: Fetch reading from lightning where ts exists in dew_point sensor data for the same depth.
Script: | readings = fetch(
node=Node("lightning", code="mst"),
filter=set_member(
field="ts",
source=Probe("dew_point", code="cnd"),
match="depth",
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "dew_point",
"outer_alias": "mst",
"inner_alias": "cnd",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080312 | train |
v3 | Sensor network script:
Node: temperature | code: gst | fields: lon, level, qc, unit
Sensor: sunlight | fields: lon, level, qc, depth
Task: Get lon from temperature where value exceeds the maximum value from sunlight for the same qc.
Script: | readings = fetch(
node=Node("temperature", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "value",
source=Probe("sunlight", code="brt"),
match="qc"),
),
output="lon",
) | {
"outer_table": "temperature",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080313 | train |
v3 | Sensor network script:
Node: uv_index | code: thr | fields: unit, ts, type, qc
Sensor: rainfall | fields: reading, level, type, qc
Task: Retrieve depth from uv_index with reading above the COUNT(reading) of rainfall readings sharing the same type.
Script: | readings = fetch(
node=Node("uv_index", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "reading",
source=Probe("rainfall", code="rnfl"),
match="type"),
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "rainfall",
"outer_alias": "thr",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080314 | train |
v2 | Sensor network script:
Node: pressure | code: hub | fields: value, ts, level, reading
Sensor: turbidity | fields: reading, qc, lat, lon
Task: Fetch value from pressure that have at least one corresponding turbidity measurement for the same type.
Script: | readings = fetch(
node=Node("pressure", code="hub"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="type",
),
output="value",
) | {
"outer_table": "pressure",
"inner_table": "turbidity",
"outer_alias": "hub",
"inner_alias": "ftu",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080315 | train |
v1 | Sensor network script:
Node: rainfall | code: mst | fields: type, depth, level, reading
Sensor: snow_depth | fields: level, reading, unit, value
Task: Retrieve reading from rainfall whose type is found in snow_depth records where qc matches the outer node.
Script: | readings = fetch(
node=Node("rainfall", code="mst"),
filter=set_member(
field="type",
source=Probe("snow_depth", code="snw"),
match="qc",
),
output="reading",
) | {
"outer_table": "rainfall",
"inner_table": "snow_depth",
"outer_alias": "mst",
"inner_alias": "snw",
"proj_col": "reading",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080316 | train |
v1 | Sensor network script:
Node: evaporation | code: prt | fields: value, unit, depth, lat
Sensor: turbidity | fields: type, lon, ts, level
Task: Fetch level from evaporation where depth exists in turbidity sensor data for the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="prt"),
filter=set_member(
field="depth",
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080317 | train |
v1 | Sensor network script:
Node: temperature | code: thr | fields: unit, reading, level, lon
Sensor: drought_index | fields: ts, value, level, unit
Task: Retrieve level from temperature whose unit is found in drought_index records where unit matches the outer node.
Script: | readings = fetch(
node=Node("temperature", code="thr"),
filter=set_member(
field="unit",
source=Probe("drought_index", code="drt"),
match="unit",
),
output="level",
) | {
"outer_table": "temperature",
"inner_table": "drought_index",
"outer_alias": "thr",
"inner_alias": "drt",
"proj_col": "level",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080318 | train |
v2 | Sensor network script:
Node: visibility | code: mst | fields: ts, reading, value, type
Sensor: snow_depth | fields: ts, reading, qc, lat
Task: Retrieve reading from visibility that have at least one matching reading in snow_depth sharing the same type.
Script: | readings = fetch(
node=Node("visibility", code="mst"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="type",
),
output="reading",
) | {
"outer_table": "visibility",
"inner_table": "snow_depth",
"outer_alias": "mst",
"inner_alias": "snw",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080319 | train |
v3 | Sensor network script:
Node: pressure | code: prt | fields: type, lat, lon, reading
Sensor: evaporation | fields: lat, reading, level, unit
Task: Retrieve depth from pressure with value above the SUM(reading) of evaporation readings sharing the same ts.
Script: | readings = fetch(
node=Node("pressure", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("evaporation", code="evp"),
match="ts"),
),
output="depth",
) | {
"outer_table": "pressure",
"inner_table": "evaporation",
"outer_alias": "prt",
"inner_alias": "evp",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080320 | train |
v2 | Sensor network script:
Node: cloud_cover | code: hub | fields: reading, depth, lat, type
Sensor: sunlight | fields: lat, ts, depth, unit
Task: Fetch lat from cloud_cover that have at least one corresponding sunlight measurement for the same type.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="type",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "sunlight",
"outer_alias": "hub",
"inner_alias": "brt",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080321 | train |
v2 | Sensor network script:
Node: humidity | code: thr | fields: lon, depth, lat, reading
Sensor: dew_point | fields: lon, reading, level, type
Task: Fetch lat from humidity that have at least one corresponding dew_point measurement for the same unit.
Script: | readings = fetch(
node=Node("humidity", code="thr"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080322 | train |
v2 | Sensor network script:
Node: frost | code: prt | fields: type, ts, depth, level
Sensor: cloud_cover | fields: reading, lon, value, level
Task: Get lon from frost where a corresponding entry exists in cloud_cover with the same ts.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="ts",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "cloud_cover",
"outer_alias": "prt",
"inner_alias": "nbl",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080323 | train |
v2 | Sensor network script:
Node: wind_speed | code: ref | fields: lat, reading, type, depth
Sensor: turbidity | fields: value, type, qc, reading
Task: Get lon from wind_speed where a corresponding entry exists in turbidity with the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="ref"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="type",
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080324 | train |
v1 | Sensor network script:
Node: wind_speed | code: stn | fields: value, depth, unit, ts
Sensor: pressure | fields: type, unit, depth, reading
Task: Fetch reading from wind_speed where qc exists in pressure sensor data for the same qc.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=set_member(
field="qc",
source=Probe("pressure", code="mbl"),
match="qc",
),
output="reading",
) | {
"outer_table": "wind_speed",
"inner_table": "pressure",
"outer_alias": "stn",
"inner_alias": "mbl",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080325 | train |
v3 | Sensor network script:
Node: drought_index | code: clr | fields: depth, level, type, reading
Sensor: air_quality | fields: ts, level, type, qc
Task: Retrieve depth from drought_index with depth above the MIN(value) of air_quality readings sharing the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("air_quality", code="prt"),
match="ts"),
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "air_quality",
"outer_alias": "clr",
"inner_alias": "prt",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080326 | train |
v3 | Sensor network script:
Node: humidity | code: hub | fields: value, unit, lon, depth
Sensor: lightning | fields: ts, qc, type, lat
Task: Fetch reading from humidity where depth is greater than the average of value in lightning for matching type.
Script: | readings = fetch(
node=Node("humidity", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("lightning", code="tnd"),
match="type"),
),
output="reading",
) | {
"outer_table": "humidity",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "tnd",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080327 | train |
v3 | Sensor network script:
Node: temperature | code: gst | fields: unit, ts, level, value
Sensor: air_quality | fields: reading, lon, type, qc
Task: Fetch value from temperature where reading is greater than the average of depth in air_quality for matching unit.
Script: | readings = fetch(
node=Node("temperature", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("air_quality", code="prt"),
match="unit"),
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "air_quality",
"outer_alias": "gst",
"inner_alias": "prt",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080328 | train |
v2 | Sensor network script:
Node: drought_index | code: ref | fields: qc, lon, level, depth
Sensor: turbidity | fields: depth, lat, level, lon
Task: Get value from drought_index where a corresponding entry exists in turbidity with the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080329 | train |
v1 | Sensor network script:
Node: air_quality | code: stn | fields: value, unit, reading, lon
Sensor: drought_index | fields: lon, reading, value, ts
Task: Get reading from air_quality where unit appears in drought_index readings with matching ts.
Script: | readings = fetch(
node=Node("air_quality", code="stn"),
filter=set_member(
field="unit",
source=Probe("drought_index", code="drt"),
match="ts",
),
output="reading",
) | {
"outer_table": "air_quality",
"inner_table": "drought_index",
"outer_alias": "stn",
"inner_alias": "drt",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080330 | train |
v2 | Sensor network script:
Node: turbidity | code: thr | fields: qc, type, value, lat
Sensor: drought_index | fields: qc, type, lon, level
Task: Fetch level from turbidity that have at least one corresponding drought_index measurement for the same unit.
Script: | readings = fetch(
node=Node("turbidity", code="thr"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="unit",
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "drought_index",
"outer_alias": "thr",
"inner_alias": "drt",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080331 | train |
v3 | Sensor network script:
Node: wind_speed | code: thr | fields: lat, reading, depth, ts
Sensor: lightning | fields: reading, depth, level, type
Task: Retrieve lon from wind_speed with depth above the COUNT(reading) of lightning readings sharing the same qc.
Script: | readings = fetch(
node=Node("wind_speed", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "reading",
source=Probe("lightning", code="tnd"),
match="qc"),
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "lightning",
"outer_alias": "thr",
"inner_alias": "tnd",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080332 | train |
v1 | Sensor network script:
Node: visibility | code: thr | fields: type, lon, ts, level
Sensor: rainfall | fields: value, ts, depth, level
Task: Get reading from visibility where depth appears in rainfall readings with matching ts.
Script: | readings = fetch(
node=Node("visibility", code="thr"),
filter=set_member(
field="depth",
source=Probe("rainfall", code="rnfl"),
match="ts",
),
output="reading",
) | {
"outer_table": "visibility",
"inner_table": "rainfall",
"outer_alias": "thr",
"inner_alias": "rnfl",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080333 | train |
v1 | Sensor network script:
Node: uv_index | code: clr | fields: unit, value, reading, depth
Sensor: rainfall | fields: type, qc, reading, lat
Task: Fetch depth from uv_index where depth exists in rainfall sensor data for the same ts.
Script: | readings = fetch(
node=Node("uv_index", code="clr"),
filter=set_member(
field="depth",
source=Probe("rainfall", code="rnfl"),
match="ts",
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "rainfall",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080334 | train |
v3 | Sensor network script:
Node: cloud_cover | code: ref | fields: lat, qc, depth, type
Sensor: turbidity | fields: type, qc, reading, lon
Task: Get reading from cloud_cover where value exceeds the maximum reading from turbidity for the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("turbidity", code="ftu"),
match="qc"),
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080335 | train |
v1 | Sensor network script:
Node: wind_speed | code: hub | fields: level, lat, lon, ts
Sensor: visibility | fields: level, ts, value, reading
Task: Fetch lon from wind_speed where unit exists in visibility sensor data for the same qc.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=set_member(
field="unit",
source=Probe("visibility", code="clr"),
match="qc",
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "visibility",
"outer_alias": "hub",
"inner_alias": "clr",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080336 | train |
v3 | Sensor network script:
Node: lightning | code: gst | fields: lon, unit, ts, qc
Sensor: dew_point | fields: ts, qc, depth, lon
Task: Retrieve depth from lightning with depth above the AVG(reading) of dew_point readings sharing the same type.
Script: | readings = fetch(
node=Node("lightning", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("dew_point", code="cnd"),
match="type"),
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "dew_point",
"outer_alias": "gst",
"inner_alias": "cnd",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080337 | train |
v2 | Sensor network script:
Node: cloud_cover | code: hub | fields: type, depth, value, unit
Sensor: uv_index | fields: type, lat, qc, depth
Task: Fetch level from cloud_cover that have at least one corresponding uv_index measurement for the same type.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="type",
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "uv_index",
"outer_alias": "hub",
"inner_alias": "flx",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080338 | train |
v3 | Sensor network script:
Node: cloud_cover | code: ref | fields: type, unit, value, qc
Sensor: turbidity | fields: value, depth, unit, qc
Task: Fetch level from cloud_cover where reading is greater than the minimum of depth in turbidity for matching unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "depth",
source=Probe("turbidity", code="ftu"),
match="unit"),
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080339 | train |
v2 | Sensor network script:
Node: cloud_cover | code: hub | fields: type, value, depth, lat
Sensor: temperature | fields: depth, qc, unit, reading
Task: Fetch depth from cloud_cover that have at least one corresponding temperature measurement for the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="unit",
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080340 | train |
v3 | Sensor network script:
Node: air_quality | code: mst | fields: value, lat, unit, lon
Sensor: frost | fields: level, value, unit, depth
Task: Retrieve level from air_quality with depth above the MIN(reading) of frost readings sharing the same unit.
Script: | readings = fetch(
node=Node("air_quality", code="mst"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "reading",
source=Probe("frost", code="frs"),
match="unit"),
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "frost",
"outer_alias": "mst",
"inner_alias": "frs",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080341 | train |
v2 | Sensor network script:
Node: visibility | code: thr | fields: level, type, value, reading
Sensor: uv_index | fields: type, depth, unit, level
Task: Fetch depth from visibility that have at least one corresponding uv_index measurement for the same unit.
Script: | readings = fetch(
node=Node("visibility", code="thr"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="unit",
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "uv_index",
"outer_alias": "thr",
"inner_alias": "flx",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080342 | train |
v3 | Sensor network script:
Node: evaporation | code: stn | fields: unit, depth, ts, lon
Sensor: sunlight | fields: ts, level, type, unit
Task: Retrieve lat from evaporation with reading above the COUNT(value) of sunlight readings sharing the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("sunlight", code="brt"),
match="depth"),
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "sunlight",
"outer_alias": "stn",
"inner_alias": "brt",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080343 | train |
v1 | Sensor network script:
Node: pressure | code: prt | fields: type, level, qc, depth
Sensor: cloud_cover | fields: reading, lon, depth, unit
Task: Fetch value from pressure where qc exists in cloud_cover sensor data for the same ts.
Script: | readings = fetch(
node=Node("pressure", code="prt"),
filter=set_member(
field="qc",
source=Probe("cloud_cover", code="nbl"),
match="ts",
),
output="value",
) | {
"outer_table": "pressure",
"inner_table": "cloud_cover",
"outer_alias": "prt",
"inner_alias": "nbl",
"proj_col": "value",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080344 | train |
v2 | Sensor network script:
Node: soil_moisture | code: mst | fields: level, qc, unit, depth
Sensor: lightning | fields: type, value, unit, lon
Task: Get lat from soil_moisture where a corresponding entry exists in lightning with the same qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="qc",
),
output="lat",
) | {
"outer_table": "soil_moisture",
"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_080345 | train |
v1 | Sensor network script:
Node: visibility | code: ref | fields: reading, depth, value, lon
Sensor: dew_point | fields: value, unit, depth, lat
Task: Get level from visibility where qc appears in dew_point readings with matching qc.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=set_member(
field="qc",
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "level",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080346 | train |
v2 | Sensor network script:
Node: soil_moisture | code: thr | fields: type, reading, lon, lat
Sensor: lightning | fields: depth, qc, reading, value
Task: Retrieve depth from soil_moisture that have at least one matching reading in lightning sharing the same depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="thr"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="depth",
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "lightning",
"outer_alias": "thr",
"inner_alias": "tnd",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080347 | train |
v3 | Sensor network script:
Node: soil_moisture | code: hub | fields: lon, ts, unit, qc
Sensor: evaporation | fields: level, qc, type, depth
Task: Retrieve level from soil_moisture with reading above the COUNT(reading) of evaporation readings sharing the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "reading",
source=Probe("evaporation", code="evp"),
match="type"),
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080348 | train |
v2 | Sensor network script:
Node: evaporation | code: stn | fields: ts, lon, level, depth
Sensor: air_quality | fields: value, reading, depth, unit
Task: Fetch lat from evaporation that have at least one corresponding air_quality measurement for the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="stn"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="depth",
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "air_quality",
"outer_alias": "stn",
"inner_alias": "prt",
"proj_col": "lat",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080349 | train |
v3 | Sensor network script:
Node: cloud_cover | code: stn | fields: reading, lat, type, lon
Sensor: wind_speed | fields: level, lat, ts, lon
Task: Retrieve lon from cloud_cover with reading above the MAX(value) of wind_speed readings sharing the same type.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "value",
source=Probe("wind_speed", code="gst"),
match="type"),
),
output="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080350 | train |
v3 | Sensor network script:
Node: rainfall | code: clr | fields: qc, value, level, type
Sensor: pressure | fields: reading, depth, unit, lat
Task: Get depth from rainfall where value exceeds the total depth from pressure for the same depth.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "depth",
source=Probe("pressure", code="mbl"),
match="depth"),
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "pressure",
"outer_alias": "clr",
"inner_alias": "mbl",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080351 | train |
v1 | Sensor network script:
Node: humidity | code: hub | fields: value, type, depth, lat
Sensor: sunlight | fields: qc, type, unit, lat
Task: Retrieve value from humidity whose unit is found in sunlight records where type matches the outer node.
Script: | readings = fetch(
node=Node("humidity", code="hub"),
filter=set_member(
field="unit",
source=Probe("sunlight", code="brt"),
match="type",
),
output="value",
) | {
"outer_table": "humidity",
"inner_table": "sunlight",
"outer_alias": "hub",
"inner_alias": "brt",
"proj_col": "value",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080352 | train |
v2 | Sensor network script:
Node: humidity | code: mst | fields: depth, level, type, ts
Sensor: drought_index | fields: level, qc, ts, value
Task: Get level from humidity where a corresponding entry exists in drought_index with the same qc.
Script: | readings = fetch(
node=Node("humidity", code="mst"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="qc",
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "drought_index",
"outer_alias": "mst",
"inner_alias": "drt",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080353 | train |
v1 | Sensor network script:
Node: wind_speed | code: gst | fields: depth, reading, unit, value
Sensor: rainfall | fields: ts, reading, value, lon
Task: Get depth from wind_speed where unit appears in rainfall readings with matching qc.
Script: | readings = fetch(
node=Node("wind_speed", code="gst"),
filter=set_member(
field="unit",
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080354 | train |
v2 | Sensor network script:
Node: rainfall | code: clr | fields: qc, lat, value, reading
Sensor: humidity | fields: reading, qc, level, lon
Task: Retrieve level from rainfall that have at least one matching reading in humidity sharing the same unit.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="unit",
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "humidity",
"outer_alias": "clr",
"inner_alias": "hgr",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080355 | train |
v1 | Sensor network script:
Node: turbidity | code: hub | fields: reading, type, qc, lat
Sensor: frost | fields: qc, unit, value, level
Task: Get reading from turbidity where unit appears in frost readings with matching qc.
Script: | readings = fetch(
node=Node("turbidity", code="hub"),
filter=set_member(
field="unit",
source=Probe("frost", code="frs"),
match="qc",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080356 | train |
v1 | Sensor network script:
Node: sunlight | code: mst | fields: level, value, ts, qc
Sensor: air_quality | fields: reading, unit, lon, value
Task: Fetch depth from sunlight where depth exists in air_quality sensor data for the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="mst"),
filter=set_member(
field="depth",
source=Probe("air_quality", code="prt"),
match="qc",
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080357 | train |
v3 | Sensor network script:
Node: frost | code: hub | fields: reading, depth, lon, type
Sensor: dew_point | fields: level, value, qc, depth
Task: Fetch depth from frost where value is greater than the count of of depth in dew_point for matching unit.
Script: | readings = fetch(
node=Node("frost", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "depth",
source=Probe("dew_point", code="cnd"),
match="unit"),
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "dew_point",
"outer_alias": "hub",
"inner_alias": "cnd",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080358 | train |
v1 | Sensor network script:
Node: uv_index | code: thr | fields: value, qc, reading, level
Sensor: wind_speed | fields: reading, unit, lon, value
Task: Get value from uv_index where qc appears in wind_speed readings with matching qc.
Script: | readings = fetch(
node=Node("uv_index", code="thr"),
filter=set_member(
field="qc",
source=Probe("wind_speed", code="gst"),
match="qc",
),
output="value",
) | {
"outer_table": "uv_index",
"inner_table": "wind_speed",
"outer_alias": "thr",
"inner_alias": "gst",
"proj_col": "value",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080359 | train |
v2 | Sensor network script:
Node: cloud_cover | code: ref | fields: reading, qc, ts, type
Sensor: visibility | fields: qc, level, lon, unit
Task: Get level from cloud_cover where a corresponding entry exists in visibility with the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="depth",
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080360 | train |
v2 | Sensor network script:
Node: frost | code: mst | fields: level, depth, lon, lat
Sensor: humidity | fields: depth, unit, level, type
Task: Retrieve lat from frost that have at least one matching reading in humidity sharing the same type.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="type",
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080361 | train |
v3 | Sensor network script:
Node: uv_index | code: prt | fields: unit, reading, type, qc
Sensor: humidity | fields: type, level, value, ts
Task: Retrieve level from uv_index with depth above the COUNT(reading) of humidity readings sharing the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "reading",
source=Probe("humidity", code="hgr"),
match="unit"),
),
output="level",
) | {
"outer_table": "uv_index",
"inner_table": "humidity",
"outer_alias": "prt",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080362 | train |
v3 | Sensor network script:
Node: frost | code: mst | fields: type, reading, unit, lat
Sensor: rainfall | fields: lon, lat, qc, ts
Task: Get value from frost where value exceeds the total value from rainfall for the same depth.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "value",
source=Probe("rainfall", code="rnfl"),
match="depth"),
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "rainfall",
"outer_alias": "mst",
"inner_alias": "rnfl",
"proj_col": "value",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080363 | train |
v3 | Sensor network script:
Node: lightning | code: stn | fields: level, type, value, unit
Sensor: rainfall | fields: lon, type, depth, unit
Task: Get lon from lightning where reading exceeds the minimum reading from rainfall for the same unit.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "reading",
source=Probe("rainfall", code="rnfl"),
match="unit"),
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "rainfall",
"outer_alias": "stn",
"inner_alias": "rnfl",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080364 | train |
v2 | Sensor network script:
Node: drought_index | code: stn | fields: lon, level, unit, lat
Sensor: frost | fields: ts, depth, qc, reading
Task: Get level from drought_index where a corresponding entry exists in frost with the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=has_match(
source=Probe("frost", code="frs"),
match="qc",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "frost",
"outer_alias": "stn",
"inner_alias": "frs",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080365 | train |
v2 | Sensor network script:
Node: temperature | code: prt | fields: type, qc, lon, depth
Sensor: visibility | fields: level, qc, ts, lon
Task: Fetch lat from temperature that have at least one corresponding visibility measurement for the same unit.
Script: | readings = fetch(
node=Node("temperature", code="prt"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="unit",
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "visibility",
"outer_alias": "prt",
"inner_alias": "clr",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080366 | train |
v1 | Sensor network script:
Node: soil_moisture | code: stn | fields: lon, reading, unit, type
Sensor: rainfall | fields: depth, level, type, lon
Task: Get depth from soil_moisture where qc appears in rainfall readings with matching qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="stn"),
filter=set_member(
field="qc",
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "rainfall",
"outer_alias": "stn",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080367 | train |
v1 | Sensor network script:
Node: dew_point | code: stn | fields: value, lat, ts, type
Sensor: drought_index | fields: qc, depth, lon, ts
Task: Get depth from dew_point where type appears in drought_index readings with matching qc.
Script: | readings = fetch(
node=Node("dew_point", code="stn"),
filter=set_member(
field="type",
source=Probe("drought_index", code="drt"),
match="qc",
),
output="depth",
) | {
"outer_table": "dew_point",
"inner_table": "drought_index",
"outer_alias": "stn",
"inner_alias": "drt",
"proj_col": "depth",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080368 | train |
v2 | Sensor network script:
Node: lightning | code: gst | fields: depth, value, lat, lon
Sensor: uv_index | fields: level, value, lat, unit
Task: Fetch depth from lightning that have at least one corresponding uv_index measurement for the same depth.
Script: | readings = fetch(
node=Node("lightning", code="gst"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="depth",
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080369 | train |
v3 | Sensor network script:
Node: drought_index | code: gst | fields: level, lat, depth, unit
Sensor: lightning | fields: type, depth, qc, lon
Task: Fetch value from drought_index where value is greater than the maximum of value in lightning for matching ts.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "value",
source=Probe("lightning", code="tnd"),
match="ts"),
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "lightning",
"outer_alias": "gst",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080370 | train |
v1 | Sensor network script:
Node: temperature | code: gst | fields: level, depth, value, ts
Sensor: uv_index | fields: lat, lon, unit, qc
Task: Get value from temperature where ts appears in uv_index readings with matching ts.
Script: | readings = fetch(
node=Node("temperature", code="gst"),
filter=set_member(
field="ts",
source=Probe("uv_index", code="flx"),
match="ts",
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "value",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080371 | train |
v3 | Sensor network script:
Node: frost | code: stn | fields: depth, ts, level, reading
Sensor: temperature | fields: qc, reading, level, lon
Task: Fetch value from frost where depth is greater than the minimum of depth in temperature for matching depth.
Script: | readings = fetch(
node=Node("frost", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "depth",
source=Probe("temperature", code="thr"),
match="depth"),
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "temperature",
"outer_alias": "stn",
"inner_alias": "thr",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080372 | train |
v1 | Sensor network script:
Node: turbidity | code: prt | fields: unit, lat, value, depth
Sensor: dew_point | fields: unit, type, level, lon
Task: Fetch lat from turbidity where ts exists in dew_point sensor data for the same unit.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=set_member(
field="ts",
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "dew_point",
"outer_alias": "prt",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080373 | train |
v1 | Sensor network script:
Node: snow_depth | code: mst | fields: value, level, reading, lat
Sensor: air_quality | fields: reading, unit, type, ts
Task: Get depth from snow_depth where unit appears in air_quality readings with matching ts.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=set_member(
field="unit",
source=Probe("air_quality", code="prt"),
match="ts",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080374 | train |
v2 | Sensor network script:
Node: rainfall | code: hub | fields: depth, ts, lon, type
Sensor: pressure | fields: level, ts, lon, depth
Task: Retrieve lat from rainfall that have at least one matching reading in pressure sharing the same type.
Script: | readings = fetch(
node=Node("rainfall", code="hub"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="type",
),
output="lat",
) | {
"outer_table": "rainfall",
"inner_table": "pressure",
"outer_alias": "hub",
"inner_alias": "mbl",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080375 | train |
v2 | Sensor network script:
Node: sunlight | code: ref | fields: unit, lat, depth, ts
Sensor: snow_depth | fields: qc, reading, ts, value
Task: Get lon from sunlight where a corresponding entry exists in snow_depth with the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="qc",
),
output="lon",
) | {
"outer_table": "sunlight",
"inner_table": "snow_depth",
"outer_alias": "ref",
"inner_alias": "snw",
"proj_col": "lon",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080376 | train |
v2 | Sensor network script:
Node: wind_speed | code: mst | fields: ts, qc, lon, value
Sensor: soil_moisture | fields: reading, type, ts, depth
Task: Get lat from wind_speed where a corresponding entry exists in soil_moisture with the same unit.
Script: | readings = fetch(
node=Node("wind_speed", code="mst"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="unit",
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080377 | train |
v2 | Sensor network script:
Node: air_quality | code: gst | fields: lon, level, qc, reading
Sensor: turbidity | fields: value, ts, depth, reading
Task: Retrieve reading from air_quality that have at least one matching reading in turbidity sharing the same depth.
Script: | readings = fetch(
node=Node("air_quality", code="gst"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="reading",
) | {
"outer_table": "air_quality",
"inner_table": "turbidity",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080378 | train |
v1 | Sensor network script:
Node: pressure | code: mst | fields: level, value, unit, lat
Sensor: snow_depth | fields: level, type, depth, unit
Task: Get lat from pressure where type appears in snow_depth readings with matching ts.
Script: | readings = fetch(
node=Node("pressure", code="mst"),
filter=set_member(
field="type",
source=Probe("snow_depth", code="snw"),
match="ts",
),
output="lat",
) | {
"outer_table": "pressure",
"inner_table": "snow_depth",
"outer_alias": "mst",
"inner_alias": "snw",
"proj_col": "lat",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080379 | train |
v3 | Sensor network script:
Node: pressure | code: prt | fields: depth, lat, unit, lon
Sensor: uv_index | fields: value, depth, type, unit
Task: Get level from pressure where reading exceeds the count of depth from uv_index for the same unit.
Script: | readings = fetch(
node=Node("pressure", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "depth",
source=Probe("uv_index", code="flx"),
match="unit"),
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "uv_index",
"outer_alias": "prt",
"inner_alias": "flx",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080380 | train |
v3 | Sensor network script:
Node: drought_index | code: stn | fields: unit, type, qc, lat
Sensor: dew_point | fields: unit, qc, lat, value
Task: Fetch level from drought_index where value is greater than the count of of depth in dew_point for matching depth.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "depth",
source=Probe("dew_point", code="cnd"),
match="depth"),
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "dew_point",
"outer_alias": "stn",
"inner_alias": "cnd",
"proj_col": "level",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080381 | train |
v2 | Sensor network script:
Node: humidity | code: ref | fields: reading, lat, value, ts
Sensor: uv_index | fields: qc, depth, level, value
Task: Retrieve lat from humidity that have at least one matching reading in uv_index sharing the same unit.
Script: | readings = fetch(
node=Node("humidity", code="ref"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="unit",
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "uv_index",
"outer_alias": "ref",
"inner_alias": "flx",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080382 | train |
v3 | Sensor network script:
Node: air_quality | code: ref | fields: lon, ts, lat, value
Sensor: evaporation | fields: lat, depth, level, lon
Task: Retrieve depth from air_quality with depth above the COUNT(depth) of evaporation readings sharing the same type.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "depth",
source=Probe("evaporation", code="evp"),
match="type"),
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "evaporation",
"outer_alias": "ref",
"inner_alias": "evp",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080383 | train |
v3 | Sensor network script:
Node: turbidity | code: prt | fields: lat, level, unit, qc
Sensor: wind_speed | fields: unit, qc, level, ts
Task: Retrieve level from turbidity with value above the SUM(value) of wind_speed readings sharing the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "value",
source=Probe("wind_speed", code="gst"),
match="depth"),
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "level",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080384 | train |
v2 | Sensor network script:
Node: visibility | code: prt | fields: ts, lat, type, depth
Sensor: lightning | fields: unit, lat, level, qc
Task: Fetch lon from visibility that have at least one corresponding lightning measurement for the same type.
Script: | readings = fetch(
node=Node("visibility", code="prt"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="type",
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "lightning",
"outer_alias": "prt",
"inner_alias": "tnd",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080385 | train |
v2 | Sensor network script:
Node: cloud_cover | code: clr | fields: unit, lon, level, value
Sensor: soil_moisture | fields: depth, unit, type, ts
Task: Get reading from cloud_cover where a corresponding entry exists in soil_moisture with the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="unit",
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "soil_moisture",
"outer_alias": "clr",
"inner_alias": "grvl",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080386 | train |
v2 | Sensor network script:
Node: evaporation | code: thr | fields: depth, lat, value, lon
Sensor: drought_index | fields: reading, type, depth, lon
Task: Fetch level from evaporation that have at least one corresponding drought_index measurement for the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="thr"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="depth",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "drought_index",
"outer_alias": "thr",
"inner_alias": "drt",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080387 | train |
v2 | Sensor network script:
Node: visibility | code: prt | fields: qc, lon, type, lat
Sensor: dew_point | fields: ts, type, level, reading
Task: Retrieve lat from visibility that have at least one matching reading in dew_point sharing the same ts.
Script: | readings = fetch(
node=Node("visibility", code="prt"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="ts",
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "dew_point",
"outer_alias": "prt",
"inner_alias": "cnd",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080388 | train |
v1 | Sensor network script:
Node: visibility | code: ref | fields: value, level, ts, lon
Sensor: lightning | fields: reading, level, lat, depth
Task: Get lon from visibility where type appears in lightning readings with matching qc.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=set_member(
field="type",
source=Probe("lightning", code="tnd"),
match="qc",
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "lightning",
"outer_alias": "ref",
"inner_alias": "tnd",
"proj_col": "lon",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080389 | train |
v2 | Sensor network script:
Node: pressure | code: clr | fields: reading, type, depth, value
Sensor: cloud_cover | fields: value, level, reading, unit
Task: Retrieve value from pressure that have at least one matching reading in cloud_cover sharing the same unit.
Script: | readings = fetch(
node=Node("pressure", code="clr"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="value",
) | {
"outer_table": "pressure",
"inner_table": "cloud_cover",
"outer_alias": "clr",
"inner_alias": "nbl",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080390 | train |
v2 | Sensor network script:
Node: dew_point | code: ref | fields: unit, ts, depth, value
Sensor: air_quality | fields: lat, unit, qc, ts
Task: Fetch reading from dew_point that have at least one corresponding air_quality measurement for the same ts.
Script: | readings = fetch(
node=Node("dew_point", code="ref"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="ts",
),
output="reading",
) | {
"outer_table": "dew_point",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080391 | train |
v3 | Sensor network script:
Node: frost | code: gst | fields: level, depth, type, value
Sensor: air_quality | fields: lon, type, ts, value
Task: Get lon from frost where value exceeds the average depth from air_quality for the same depth.
Script: | readings = fetch(
node=Node("frost", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("air_quality", code="prt"),
match="depth"),
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "air_quality",
"outer_alias": "gst",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080392 | train |
v1 | Sensor network script:
Node: sunlight | code: thr | fields: lat, lon, depth, reading
Sensor: rainfall | fields: depth, unit, lat, value
Task: Retrieve value from sunlight whose type is found in rainfall records where depth matches the outer node.
Script: | readings = fetch(
node=Node("sunlight", code="thr"),
filter=set_member(
field="type",
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="value",
) | {
"outer_table": "sunlight",
"inner_table": "rainfall",
"outer_alias": "thr",
"inner_alias": "rnfl",
"proj_col": "value",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080393 | train |
v3 | Sensor network script:
Node: rainfall | code: thr | fields: lat, level, unit, value
Sensor: wind_speed | fields: lon, type, unit, value
Task: Retrieve value from rainfall with depth above the AVG(value) of wind_speed readings sharing the same depth.
Script: | readings = fetch(
node=Node("rainfall", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("wind_speed", code="gst"),
match="depth"),
),
output="value",
) | {
"outer_table": "rainfall",
"inner_table": "wind_speed",
"outer_alias": "thr",
"inner_alias": "gst",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_080394 | train |
v3 | Sensor network script:
Node: wind_speed | code: mst | fields: qc, type, depth, lon
Sensor: lightning | fields: lon, qc, level, ts
Task: Fetch depth from wind_speed where value is greater than the minimum of depth in lightning for matching type.
Script: | readings = fetch(
node=Node("wind_speed", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "depth",
source=Probe("lightning", code="tnd"),
match="type"),
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080395 | train |
v2 | Sensor network script:
Node: turbidity | code: prt | fields: lon, unit, type, depth
Sensor: sunlight | fields: depth, lon, unit, value
Task: Fetch reading from turbidity that have at least one corresponding sunlight measurement for the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="depth",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "sunlight",
"outer_alias": "prt",
"inner_alias": "brt",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080396 | train |
v2 | Sensor network script:
Node: frost | code: ref | fields: type, unit, lon, lat
Sensor: soil_moisture | fields: depth, value, lat, unit
Task: Retrieve depth from frost that have at least one matching reading in soil_moisture sharing the same depth.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="depth",
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "soil_moisture",
"outer_alias": "ref",
"inner_alias": "grvl",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080397 | train |
v2 | Sensor network script:
Node: lightning | code: stn | fields: unit, depth, qc, level
Sensor: sunlight | fields: reading, lat, lon, depth
Task: Fetch lat from lightning that have at least one corresponding sunlight measurement for the same type.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="type",
),
output="lat",
) | {
"outer_table": "lightning",
"inner_table": "sunlight",
"outer_alias": "stn",
"inner_alias": "brt",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080398 | train |
v1 | Sensor network script:
Node: evaporation | code: hub | fields: type, ts, unit, lat
Sensor: snow_depth | fields: qc, value, level, depth
Task: Get lon from evaporation where qc appears in snow_depth readings with matching qc.
Script: | readings = fetch(
node=Node("evaporation", code="hub"),
filter=set_member(
field="qc",
source=Probe("snow_depth", code="snw"),
match="qc",
),
output="lon",
) | {
"outer_table": "evaporation",
"inner_table": "snow_depth",
"outer_alias": "hub",
"inner_alias": "snw",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_080399 | train |
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