variant stringclasses 3
values | prompt stringlengths 216 286 | query stringlengths 168 299 | metadata unknown | id stringlengths 28 28 | split stringclasses 1
value |
|---|---|---|---|---|---|
v3 | Sensor network script:
Node: snow_depth | code: ref | fields: reading, depth, ts, value
Sensor: pressure | fields: value, depth, lon, unit
Task: Fetch depth from snow_depth where depth is greater than the maximum of depth in pressure for matching ts.
Script: | readings = fetch(
node=Node("snow_depth", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "depth",
source=Probe("pressure", code="mbl"),
match="ts"),
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "pressure",
"outer_alias": "ref",
"inner_alias": "mbl",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023400 | train |
v2 | Sensor network script:
Node: temperature | code: thr | fields: unit, lat, lon, qc
Sensor: snow_depth | fields: ts, unit, lon, type
Task: Fetch lat from temperature that have at least one corresponding snow_depth measurement for the same type.
Script: | readings = fetch(
node=Node("temperature", code="thr"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="type",
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "snow_depth",
"outer_alias": "thr",
"inner_alias": "snw",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023401 | train |
v2 | Sensor network script:
Node: evaporation | code: prt | fields: lat, level, type, depth
Sensor: lightning | fields: qc, level, lat, unit
Task: Fetch lat from evaporation that have at least one corresponding lightning measurement for the same unit.
Script: | readings = fetch(
node=Node("evaporation", code="prt"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="unit",
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "lightning",
"outer_alias": "prt",
"inner_alias": "tnd",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023402 | train |
v3 | Sensor network script:
Node: lightning | code: stn | fields: unit, reading, qc, depth
Sensor: uv_index | fields: type, unit, depth, qc
Task: Retrieve value from lightning with depth above the MIN(value) of uv_index readings sharing the same qc.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("uv_index", code="flx"),
match="qc"),
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023403 | train |
v3 | Sensor network script:
Node: frost | code: gst | fields: depth, lat, qc, lon
Sensor: temperature | fields: lat, value, qc, reading
Task: Retrieve reading from frost with reading above the COUNT(reading) of temperature readings sharing the same depth.
Script: | readings = fetch(
node=Node("frost", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "reading",
source=Probe("temperature", code="thr"),
match="depth"),
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023404 | train |
v2 | Sensor network script:
Node: sunlight | code: prt | fields: value, lat, qc, depth
Sensor: dew_point | fields: qc, depth, value, ts
Task: Get lat from sunlight where a corresponding entry exists in dew_point with the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="prt"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "dew_point",
"outer_alias": "prt",
"inner_alias": "cnd",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023405 | train |
v1 | Sensor network script:
Node: pressure | code: mst | fields: unit, reading, value, ts
Sensor: temperature | fields: lat, qc, value, unit
Task: Fetch level from pressure where depth exists in temperature sensor data for the same depth.
Script: | readings = fetch(
node=Node("pressure", code="mst"),
filter=set_member(
field="depth",
source=Probe("temperature", code="thr"),
match="depth",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "temperature",
"outer_alias": "mst",
"inner_alias": "thr",
"proj_col": "level",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023406 | train |
v2 | Sensor network script:
Node: sunlight | code: stn | fields: ts, depth, reading, unit
Sensor: visibility | fields: lat, unit, level, depth
Task: Get value from sunlight where a corresponding entry exists in visibility with the same ts.
Script: | readings = fetch(
node=Node("sunlight", code="stn"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="ts",
),
output="value",
) | {
"outer_table": "sunlight",
"inner_table": "visibility",
"outer_alias": "stn",
"inner_alias": "clr",
"proj_col": "value",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023407 | train |
v3 | Sensor network script:
Node: uv_index | code: clr | fields: reading, depth, value, type
Sensor: turbidity | fields: level, qc, lon, unit
Task: Retrieve lat from uv_index with value above the COUNT(value) of turbidity readings sharing the same type.
Script: | readings = fetch(
node=Node("uv_index", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "value",
source=Probe("turbidity", code="ftu"),
match="type"),
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023408 | train |
v2 | Sensor network script:
Node: drought_index | code: stn | fields: depth, reading, unit, value
Sensor: snow_depth | fields: value, type, lon, unit
Task: Retrieve value from drought_index that have at least one matching reading in snow_depth sharing the same type.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="type",
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "snow_depth",
"outer_alias": "stn",
"inner_alias": "snw",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023409 | train |
v2 | Sensor network script:
Node: soil_moisture | code: mst | fields: level, qc, type, value
Sensor: temperature | fields: qc, depth, lon, lat
Task: Get lon from soil_moisture where a corresponding entry exists in temperature with the same unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="unit",
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "temperature",
"outer_alias": "mst",
"inner_alias": "thr",
"proj_col": "lon",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023410 | train |
v1 | Sensor network script:
Node: turbidity | code: hub | fields: ts, lat, qc, level
Sensor: temperature | fields: lon, type, unit, value
Task: Get lat from turbidity where type appears in temperature readings with matching type.
Script: | readings = fetch(
node=Node("turbidity", code="hub"),
filter=set_member(
field="type",
source=Probe("temperature", code="thr"),
match="type",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "lat",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023411 | train |
v2 | Sensor network script:
Node: wind_speed | code: stn | fields: type, unit, value, ts
Sensor: uv_index | fields: type, value, lat, lon
Task: Fetch lon from wind_speed that have at least one corresponding uv_index measurement for the same depth.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="depth",
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "lon",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023412 | train |
v1 | Sensor network script:
Node: snow_depth | code: prt | fields: qc, value, depth, lat
Sensor: lightning | fields: level, reading, lon, qc
Task: Get value from snow_depth where type appears in lightning readings with matching unit.
Script: | readings = fetch(
node=Node("snow_depth", code="prt"),
filter=set_member(
field="type",
source=Probe("lightning", code="tnd"),
match="unit",
),
output="value",
) | {
"outer_table": "snow_depth",
"inner_table": "lightning",
"outer_alias": "prt",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023413 | train |
v1 | Sensor network script:
Node: soil_moisture | code: clr | fields: reading, depth, qc, ts
Sensor: lightning | fields: lat, type, value, level
Task: Get lon from soil_moisture where type appears in lightning readings with matching type.
Script: | readings = fetch(
node=Node("soil_moisture", code="clr"),
filter=set_member(
field="type",
source=Probe("lightning", code="tnd"),
match="type",
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "lightning",
"outer_alias": "clr",
"inner_alias": "tnd",
"proj_col": "lon",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023414 | train |
v1 | Sensor network script:
Node: wind_speed | code: mst | fields: level, lat, lon, qc
Sensor: soil_moisture | fields: reading, type, level, lon
Task: Retrieve depth from wind_speed whose qc is found in soil_moisture records where ts matches the outer node.
Script: | readings = fetch(
node=Node("wind_speed", code="mst"),
filter=set_member(
field="qc",
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023415 | train |
v2 | Sensor network script:
Node: wind_speed | code: gst | fields: qc, unit, depth, level
Sensor: turbidity | fields: ts, reading, unit, lat
Task: Fetch lat from wind_speed that have at least one corresponding turbidity measurement for the same unit.
Script: | readings = fetch(
node=Node("wind_speed", code="gst"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "turbidity",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023416 | train |
v3 | Sensor network script:
Node: cloud_cover | code: ref | fields: lon, value, level, ts
Sensor: snow_depth | fields: unit, lat, lon, ts
Task: Get lat from cloud_cover where reading exceeds the minimum value from snow_depth for the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("snow_depth", code="snw"),
match="depth"),
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "snow_depth",
"outer_alias": "ref",
"inner_alias": "snw",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023417 | train |
v2 | Sensor network script:
Node: soil_moisture | code: gst | fields: unit, lon, level, value
Sensor: sunlight | fields: level, lon, depth, type
Task: Get reading from soil_moisture where a corresponding entry exists in sunlight with the same qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="gst"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="qc",
),
output="reading",
) | {
"outer_table": "soil_moisture",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023418 | train |
v2 | Sensor network script:
Node: turbidity | code: gst | fields: ts, reading, level, unit
Sensor: drought_index | fields: lat, reading, qc, unit
Task: Fetch depth from turbidity that have at least one corresponding drought_index measurement for the same type.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="type",
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "drought_index",
"outer_alias": "gst",
"inner_alias": "drt",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023419 | train |
v3 | Sensor network script:
Node: visibility | code: prt | fields: qc, ts, lat, unit
Sensor: snow_depth | fields: depth, ts, lon, level
Task: Retrieve depth from visibility with reading above the AVG(depth) of snow_depth readings sharing the same unit.
Script: | readings = fetch(
node=Node("visibility", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("snow_depth", code="snw"),
match="unit"),
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "snow_depth",
"outer_alias": "prt",
"inner_alias": "snw",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023420 | train |
v1 | Sensor network script:
Node: evaporation | code: stn | fields: depth, reading, qc, lon
Sensor: rainfall | fields: lon, ts, value, type
Task: Get reading from evaporation where ts appears in rainfall readings with matching unit.
Script: | readings = fetch(
node=Node("evaporation", code="stn"),
filter=set_member(
field="ts",
source=Probe("rainfall", code="rnfl"),
match="unit",
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "rainfall",
"outer_alias": "stn",
"inner_alias": "rnfl",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023421 | train |
v3 | Sensor network script:
Node: pressure | code: stn | fields: lat, reading, ts, value
Sensor: temperature | fields: lat, ts, depth, type
Task: Get depth from pressure where depth exceeds the total value from temperature for the same ts.
Script: | readings = fetch(
node=Node("pressure", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "value",
source=Probe("temperature", code="thr"),
match="ts"),
),
output="depth",
) | {
"outer_table": "pressure",
"inner_table": "temperature",
"outer_alias": "stn",
"inner_alias": "thr",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023422 | train |
v3 | Sensor network script:
Node: rainfall | code: ref | fields: type, unit, depth, value
Sensor: temperature | fields: type, lat, level, qc
Task: Fetch lon from rainfall where value is greater than the count of of depth in temperature for matching qc.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "depth",
source=Probe("temperature", code="thr"),
match="qc"),
),
output="lon",
) | {
"outer_table": "rainfall",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "thr",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023423 | train |
v2 | Sensor network script:
Node: snow_depth | code: hub | fields: unit, reading, level, qc
Sensor: cloud_cover | fields: qc, lon, ts, level
Task: Get reading from snow_depth where a corresponding entry exists in cloud_cover with the same unit.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=has_match(
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",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023424 | train |
v1 | Sensor network script:
Node: lightning | code: prt | fields: lat, lon, value, unit
Sensor: turbidity | fields: reading, ts, level, unit
Task: Retrieve reading from lightning whose unit is found in turbidity records where qc matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=set_member(
field="unit",
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023425 | train |
v1 | Sensor network script:
Node: temperature | code: clr | fields: value, depth, lon, type
Sensor: humidity | fields: level, depth, type, lat
Task: Fetch level from temperature where qc exists in humidity sensor data for the same ts.
Script: | readings = fetch(
node=Node("temperature", code="clr"),
filter=set_member(
field="qc",
source=Probe("humidity", code="hgr"),
match="ts",
),
output="level",
) | {
"outer_table": "temperature",
"inner_table": "humidity",
"outer_alias": "clr",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023426 | train |
v2 | Sensor network script:
Node: humidity | code: mst | fields: ts, value, depth, lat
Sensor: visibility | fields: lon, ts, qc, value
Task: Fetch value from humidity that have at least one corresponding visibility measurement for the same ts.
Script: | readings = fetch(
node=Node("humidity", code="mst"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="ts",
),
output="value",
) | {
"outer_table": "humidity",
"inner_table": "visibility",
"outer_alias": "mst",
"inner_alias": "clr",
"proj_col": "value",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023427 | train |
v3 | Sensor network script:
Node: drought_index | code: ref | fields: type, unit, ts, lon
Sensor: air_quality | fields: unit, qc, lon, type
Task: Get level from drought_index where value exceeds the minimum value from air_quality for the same unit.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "value",
source=Probe("air_quality", code="prt"),
match="unit"),
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "level",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023428 | train |
v3 | Sensor network script:
Node: humidity | code: ref | fields: depth, reading, type, unit
Sensor: visibility | fields: reading, level, lat, ts
Task: Fetch lat from humidity where reading is greater than the maximum of value in visibility for matching qc.
Script: | readings = fetch(
node=Node("humidity", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "value",
source=Probe("visibility", code="clr"),
match="qc"),
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023429 | train |
v2 | Sensor network script:
Node: drought_index | code: gst | fields: reading, depth, lat, value
Sensor: frost | fields: lon, reading, value, depth
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="gst"),
filter=has_match(
source=Probe("frost", code="frs"),
match="unit",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "frost",
"outer_alias": "gst",
"inner_alias": "frs",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023430 | train |
v3 | Sensor network script:
Node: soil_moisture | code: gst | fields: depth, type, lat, value
Sensor: frost | fields: depth, lat, reading, ts
Task: Fetch lat from soil_moisture where depth is greater than the minimum of reading in frost for matching unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "reading",
source=Probe("frost", code="frs"),
match="unit"),
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "frost",
"outer_alias": "gst",
"inner_alias": "frs",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023431 | train |
v3 | Sensor network script:
Node: drought_index | code: stn | fields: value, qc, depth, type
Sensor: air_quality | fields: ts, lat, level, depth
Task: Get depth from drought_index where depth exceeds the total reading from air_quality for the same unit.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "reading",
source=Probe("air_quality", code="prt"),
match="unit"),
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "air_quality",
"outer_alias": "stn",
"inner_alias": "prt",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023432 | train |
v3 | Sensor network script:
Node: sunlight | code: thr | fields: reading, unit, value, type
Sensor: rainfall | fields: level, reading, type, lon
Task: Fetch level from sunlight where reading is greater than the average of depth in rainfall for matching ts.
Script: | readings = fetch(
node=Node("sunlight", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("rainfall", code="rnfl"),
match="ts"),
),
output="level",
) | {
"outer_table": "sunlight",
"inner_table": "rainfall",
"outer_alias": "thr",
"inner_alias": "rnfl",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023433 | train |
v1 | Sensor network script:
Node: cloud_cover | code: stn | fields: value, depth, lat, type
Sensor: visibility | fields: level, qc, depth, ts
Task: Retrieve reading from cloud_cover whose ts is found in visibility records where unit matches the outer node.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=set_member(
field="ts",
source=Probe("visibility", code="clr"),
match="unit",
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "visibility",
"outer_alias": "stn",
"inner_alias": "clr",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023434 | train |
v2 | Sensor network script:
Node: turbidity | code: stn | fields: lat, depth, unit, level
Sensor: uv_index | fields: reading, qc, ts, unit
Task: Get depth from turbidity where a corresponding entry exists in uv_index with the same ts.
Script: | readings = fetch(
node=Node("turbidity", code="stn"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="ts",
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023435 | train |
v1 | Sensor network script:
Node: evaporation | code: clr | fields: lat, value, reading, unit
Sensor: drought_index | fields: type, unit, reading, qc
Task: Fetch depth from evaporation where unit exists in drought_index sensor data for the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=set_member(
field="unit",
source=Probe("drought_index", code="drt"),
match="depth",
),
output="depth",
) | {
"outer_table": "evaporation",
"inner_table": "drought_index",
"outer_alias": "clr",
"inner_alias": "drt",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023436 | train |
v1 | Sensor network script:
Node: visibility | code: hub | fields: qc, reading, depth, ts
Sensor: humidity | fields: level, reading, lat, ts
Task: Fetch value from visibility where type exists in humidity sensor data for the same qc.
Script: | readings = fetch(
node=Node("visibility", code="hub"),
filter=set_member(
field="type",
source=Probe("humidity", code="hgr"),
match="qc",
),
output="value",
) | {
"outer_table": "visibility",
"inner_table": "humidity",
"outer_alias": "hub",
"inner_alias": "hgr",
"proj_col": "value",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023437 | train |
v3 | Sensor network script:
Node: cloud_cover | code: thr | fields: depth, type, reading, ts
Sensor: lightning | fields: type, reading, depth, lon
Task: Fetch value from cloud_cover where reading is greater than the count of of value in lightning for matching ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("lightning", code="tnd"),
match="ts"),
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "lightning",
"outer_alias": "thr",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023438 | train |
v2 | Sensor network script:
Node: uv_index | code: stn | fields: unit, level, type, ts
Sensor: soil_moisture | fields: qc, unit, level, type
Task: Retrieve reading from uv_index that have at least one matching reading in soil_moisture sharing the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="stn"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="unit",
),
output="reading",
) | {
"outer_table": "uv_index",
"inner_table": "soil_moisture",
"outer_alias": "stn",
"inner_alias": "grvl",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023439 | train |
v2 | Sensor network script:
Node: lightning | code: gst | fields: ts, lon, level, reading
Sensor: pressure | fields: value, level, unit, qc
Task: Retrieve value from lightning that have at least one matching reading in pressure sharing the same unit.
Script: | readings = fetch(
node=Node("lightning", code="gst"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="unit",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023440 | train |
v1 | Sensor network script:
Node: sunlight | code: hub | fields: reading, unit, type, lon
Sensor: air_quality | fields: value, unit, level, reading
Task: Get lat from sunlight where qc appears in air_quality readings with matching qc.
Script: | readings = fetch(
node=Node("sunlight", code="hub"),
filter=set_member(
field="qc",
source=Probe("air_quality", code="prt"),
match="qc",
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023441 | train |
v3 | Sensor network script:
Node: evaporation | code: thr | fields: value, type, lon, unit
Sensor: pressure | fields: level, depth, value, lat
Task: Get value from evaporation where depth exceeds the average reading from pressure for the same unit.
Script: | readings = fetch(
node=Node("evaporation", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("pressure", code="mbl"),
match="unit"),
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "pressure",
"outer_alias": "thr",
"inner_alias": "mbl",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023442 | train |
v3 | Sensor network script:
Node: wind_speed | code: prt | fields: type, lat, qc, unit
Sensor: rainfall | fields: depth, reading, type, unit
Task: Fetch lat from wind_speed where value is greater than the count of of value in rainfall for matching depth.
Script: | readings = fetch(
node=Node("wind_speed", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "value",
source=Probe("rainfall", code="rnfl"),
match="depth"),
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "rainfall",
"outer_alias": "prt",
"inner_alias": "rnfl",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023443 | train |
v1 | Sensor network script:
Node: pressure | code: stn | fields: reading, lat, unit, ts
Sensor: uv_index | fields: level, type, ts, value
Task: Fetch level from pressure where qc exists in uv_index sensor data for the same depth.
Script: | readings = fetch(
node=Node("pressure", code="stn"),
filter=set_member(
field="qc",
source=Probe("uv_index", code="flx"),
match="depth",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "level",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023444 | train |
v2 | Sensor network script:
Node: wind_speed | code: hub | fields: unit, value, type, level
Sensor: soil_moisture | fields: depth, reading, value, lat
Task: Fetch level from wind_speed that have at least one corresponding soil_moisture measurement for the same unit.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="unit",
),
output="level",
) | {
"outer_table": "wind_speed",
"inner_table": "soil_moisture",
"outer_alias": "hub",
"inner_alias": "grvl",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023445 | train |
v2 | Sensor network script:
Node: wind_speed | code: gst | fields: lat, unit, value, qc
Sensor: air_quality | fields: type, lat, reading, ts
Task: Get lat from wind_speed where a corresponding entry exists in air_quality with the same ts.
Script: | readings = fetch(
node=Node("wind_speed", code="gst"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="ts",
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "air_quality",
"outer_alias": "gst",
"inner_alias": "prt",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023446 | train |
v2 | Sensor network script:
Node: uv_index | code: gst | fields: level, ts, unit, qc
Sensor: lightning | fields: type, value, lat, lon
Task: Get lat from uv_index where a corresponding entry exists in lightning with the same type.
Script: | readings = fetch(
node=Node("uv_index", code="gst"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="type",
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "lightning",
"outer_alias": "gst",
"inner_alias": "tnd",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023447 | train |
v2 | Sensor network script:
Node: cloud_cover | code: stn | fields: lat, ts, lon, qc
Sensor: temperature | fields: ts, value, level, lon
Task: Retrieve level from cloud_cover that have at least one matching reading in temperature sharing the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="depth",
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "temperature",
"outer_alias": "stn",
"inner_alias": "thr",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023448 | train |
v2 | Sensor network script:
Node: drought_index | code: clr | fields: qc, reading, value, unit
Sensor: dew_point | fields: depth, lon, value, qc
Task: Get level from drought_index where a corresponding entry exists in dew_point with the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="ts",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "dew_point",
"outer_alias": "clr",
"inner_alias": "cnd",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023449 | train |
v1 | Sensor network script:
Node: drought_index | code: prt | fields: unit, ts, qc, depth
Sensor: frost | fields: ts, lat, unit, type
Task: Get lat from drought_index where qc appears in frost readings with matching type.
Script: | readings = fetch(
node=Node("drought_index", code="prt"),
filter=set_member(
field="qc",
source=Probe("frost", code="frs"),
match="type",
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "frost",
"outer_alias": "prt",
"inner_alias": "frs",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023450 | train |
v2 | Sensor network script:
Node: soil_moisture | code: prt | fields: type, qc, unit, ts
Sensor: drought_index | fields: type, level, lat, depth
Task: Retrieve level from soil_moisture that have at least one matching reading in drought_index sharing the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="prt"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="ts",
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023451 | train |
v2 | Sensor network script:
Node: cloud_cover | code: thr | fields: unit, ts, level, lat
Sensor: sunlight | fields: lon, ts, value, level
Task: Retrieve lon from cloud_cover that have at least one matching reading in sunlight sharing the same type.
Script: | readings = fetch(
node=Node("cloud_cover", code="thr"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="type",
),
output="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "sunlight",
"outer_alias": "thr",
"inner_alias": "brt",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023452 | train |
v1 | Sensor network script:
Node: turbidity | code: gst | fields: depth, qc, type, lat
Sensor: rainfall | fields: depth, type, lat, level
Task: Get level from turbidity where type appears in rainfall readings with matching unit.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=set_member(
field="type",
source=Probe("rainfall", code="rnfl"),
match="unit",
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "rnfl",
"proj_col": "level",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023453 | train |
v1 | Sensor network script:
Node: turbidity | code: thr | fields: value, qc, level, depth
Sensor: dew_point | fields: unit, depth, qc, lon
Task: Fetch depth from turbidity where depth exists in dew_point sensor data for the same unit.
Script: | readings = fetch(
node=Node("turbidity", code="thr"),
filter=set_member(
field="depth",
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023454 | train |
v2 | Sensor network script:
Node: snow_depth | code: clr | fields: value, depth, level, type
Sensor: dew_point | fields: value, type, reading, ts
Task: Retrieve reading from snow_depth that have at least one matching reading in dew_point sharing the same type.
Script: | readings = fetch(
node=Node("snow_depth", code="clr"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="type",
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "dew_point",
"outer_alias": "clr",
"inner_alias": "cnd",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023455 | train |
v3 | Sensor network script:
Node: humidity | code: ref | fields: unit, depth, qc, lat
Sensor: frost | fields: depth, reading, lat, unit
Task: Get lon from humidity where reading exceeds the total depth from frost for the same depth.
Script: | readings = fetch(
node=Node("humidity", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "depth",
source=Probe("frost", code="frs"),
match="depth"),
),
output="lon",
) | {
"outer_table": "humidity",
"inner_table": "frost",
"outer_alias": "ref",
"inner_alias": "frs",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023456 | train |
v1 | Sensor network script:
Node: drought_index | code: hub | fields: lat, ts, type, reading
Sensor: soil_moisture | fields: type, depth, lon, level
Task: Get depth from drought_index where qc appears in soil_moisture readings with matching ts.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=set_member(
field="qc",
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "soil_moisture",
"outer_alias": "hub",
"inner_alias": "grvl",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023457 | train |
v3 | Sensor network script:
Node: frost | code: prt | fields: ts, lat, level, type
Sensor: uv_index | fields: depth, reading, ts, qc
Task: Get reading from frost where reading exceeds the maximum depth from uv_index for the same depth.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("uv_index", code="flx"),
match="depth"),
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "uv_index",
"outer_alias": "prt",
"inner_alias": "flx",
"proj_col": "reading",
"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_023458 | train |
v1 | Sensor network script:
Node: dew_point | code: clr | fields: ts, lon, lat, level
Sensor: turbidity | fields: ts, lat, value, depth
Task: Retrieve value from dew_point whose unit is found in turbidity records where type matches the outer node.
Script: | readings = fetch(
node=Node("dew_point", code="clr"),
filter=set_member(
field="unit",
source=Probe("turbidity", code="ftu"),
match="type",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "value",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023459 | train |
v1 | Sensor network script:
Node: dew_point | code: prt | fields: ts, unit, reading, lon
Sensor: turbidity | fields: ts, qc, lon, value
Task: Get reading from dew_point where unit appears in turbidity readings with matching qc.
Script: | readings = fetch(
node=Node("dew_point", code="prt"),
filter=set_member(
field="unit",
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="reading",
) | {
"outer_table": "dew_point",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023460 | train |
v2 | Sensor network script:
Node: snow_depth | code: clr | fields: ts, type, lat, lon
Sensor: turbidity | fields: value, unit, reading, qc
Task: Fetch lon from snow_depth that have at least one corresponding turbidity measurement for the same type.
Script: | readings = fetch(
node=Node("snow_depth", code="clr"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="type",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023461 | train |
v3 | Sensor network script:
Node: dew_point | code: thr | fields: type, ts, reading, unit
Sensor: uv_index | fields: unit, ts, reading, depth
Task: Fetch lon from dew_point where value is greater than the average of value in uv_index for matching type.
Script: | readings = fetch(
node=Node("dew_point", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "value",
source=Probe("uv_index", code="flx"),
match="type"),
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "uv_index",
"outer_alias": "thr",
"inner_alias": "flx",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023462 | train |
v3 | Sensor network script:
Node: cloud_cover | code: mst | fields: qc, reading, lat, ts
Sensor: sunlight | fields: level, depth, type, reading
Task: Fetch reading from cloud_cover where reading is greater than the maximum of value in sunlight for matching ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "value",
source=Probe("sunlight", code="brt"),
match="ts"),
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "sunlight",
"outer_alias": "mst",
"inner_alias": "brt",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023463 | train |
v2 | Sensor network script:
Node: uv_index | code: stn | fields: lat, ts, depth, value
Sensor: frost | fields: unit, lat, level, value
Task: Get lon from uv_index where a corresponding entry exists in frost with the same type.
Script: | readings = fetch(
node=Node("uv_index", code="stn"),
filter=has_match(
source=Probe("frost", code="frs"),
match="type",
),
output="lon",
) | {
"outer_table": "uv_index",
"inner_table": "frost",
"outer_alias": "stn",
"inner_alias": "frs",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023464 | train |
v2 | Sensor network script:
Node: temperature | code: ref | fields: type, qc, lat, depth
Sensor: rainfall | fields: value, ts, reading, lat
Task: Fetch depth from temperature that have at least one corresponding rainfall measurement for the same type.
Script: | readings = fetch(
node=Node("temperature", code="ref"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="type",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "rnfl",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023465 | train |
v1 | Sensor network script:
Node: soil_moisture | code: gst | fields: type, value, ts, depth
Sensor: lightning | fields: value, lon, type, ts
Task: Fetch lat from soil_moisture where depth exists in lightning sensor data for the same unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="gst"),
filter=set_member(
field="depth",
source=Probe("lightning", code="tnd"),
match="unit",
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "lightning",
"outer_alias": "gst",
"inner_alias": "tnd",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023466 | train |
v2 | Sensor network script:
Node: dew_point | code: mst | fields: lon, reading, ts, level
Sensor: humidity | fields: ts, reading, type, qc
Task: Fetch lon from dew_point that have at least one corresponding humidity measurement for the same depth.
Script: | readings = fetch(
node=Node("dew_point", code="mst"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="depth",
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "lon",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023467 | train |
v1 | Sensor network script:
Node: soil_moisture | code: gst | fields: level, qc, lat, type
Sensor: uv_index | fields: ts, unit, value, depth
Task: Get level from soil_moisture where qc appears in uv_index readings with matching depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="gst"),
filter=set_member(
field="qc",
source=Probe("uv_index", code="flx"),
match="depth",
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "level",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023468 | train |
v2 | Sensor network script:
Node: frost | code: mst | fields: level, reading, depth, unit
Sensor: humidity | fields: lat, depth, type, level
Task: Fetch level from frost that have at least one corresponding humidity measurement for the same ts.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="ts",
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023469 | train |
v1 | Sensor network script:
Node: drought_index | code: gst | fields: value, unit, qc, reading
Sensor: turbidity | fields: qc, unit, reading, lat
Task: Fetch value from drought_index where ts exists in turbidity sensor data for the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=set_member(
field="ts",
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "turbidity",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "value",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023470 | train |
v3 | Sensor network script:
Node: lightning | code: hub | fields: depth, level, unit, value
Sensor: drought_index | fields: qc, level, value, ts
Task: Fetch lon from lightning where reading is greater than the minimum of value in drought_index for matching ts.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("drought_index", code="drt"),
match="ts"),
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "drought_index",
"outer_alias": "hub",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023471 | train |
v3 | Sensor network script:
Node: visibility | code: clr | fields: qc, unit, lat, level
Sensor: drought_index | fields: lon, ts, value, unit
Task: Get lat from visibility where depth exceeds the count of reading from drought_index for the same type.
Script: | readings = fetch(
node=Node("visibility", code="clr"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "reading",
source=Probe("drought_index", code="drt"),
match="type"),
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "drought_index",
"outer_alias": "clr",
"inner_alias": "drt",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023472 | train |
v3 | Sensor network script:
Node: rainfall | code: stn | fields: qc, level, type, ts
Sensor: snow_depth | fields: unit, level, depth, qc
Task: Fetch level from rainfall where value is greater than the average of value in snow_depth for matching ts.
Script: | readings = fetch(
node=Node("rainfall", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "value",
source=Probe("snow_depth", code="snw"),
match="ts"),
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "snow_depth",
"outer_alias": "stn",
"inner_alias": "snw",
"proj_col": "level",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023473 | train |
v1 | Sensor network script:
Node: visibility | code: clr | fields: depth, reading, value, lat
Sensor: temperature | fields: unit, level, qc, type
Task: Get lon from visibility where unit appears in temperature readings with matching qc.
Script: | readings = fetch(
node=Node("visibility", code="clr"),
filter=set_member(
field="unit",
source=Probe("temperature", code="thr"),
match="qc",
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "temperature",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023474 | train |
v1 | Sensor network script:
Node: uv_index | code: clr | fields: level, reading, ts, depth
Sensor: lightning | fields: value, unit, lat, level
Task: Retrieve value from uv_index whose qc is found in lightning records where unit matches the outer node.
Script: | readings = fetch(
node=Node("uv_index", code="clr"),
filter=set_member(
field="qc",
source=Probe("lightning", code="tnd"),
match="unit",
),
output="value",
) | {
"outer_table": "uv_index",
"inner_table": "lightning",
"outer_alias": "clr",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023475 | train |
v3 | Sensor network script:
Node: uv_index | code: stn | fields: lon, type, unit, reading
Sensor: frost | fields: qc, level, value, depth
Task: Get reading from uv_index where depth exceeds the minimum value from frost for the same ts.
Script: | readings = fetch(
node=Node("uv_index", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("frost", code="frs"),
match="ts"),
),
output="reading",
) | {
"outer_table": "uv_index",
"inner_table": "frost",
"outer_alias": "stn",
"inner_alias": "frs",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023476 | train |
v1 | Sensor network script:
Node: sunlight | code: ref | fields: unit, level, depth, value
Sensor: pressure | fields: lon, depth, reading, type
Task: Retrieve value from sunlight whose unit is found in pressure records where depth matches the outer node.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=set_member(
field="unit",
source=Probe("pressure", code="mbl"),
match="depth",
),
output="value",
) | {
"outer_table": "sunlight",
"inner_table": "pressure",
"outer_alias": "ref",
"inner_alias": "mbl",
"proj_col": "value",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023477 | train |
v3 | Sensor network script:
Node: snow_depth | code: gst | fields: level, lon, qc, value
Sensor: dew_point | fields: qc, ts, lon, level
Task: Get level from snow_depth where depth exceeds the maximum value from dew_point for the same ts.
Script: | readings = fetch(
node=Node("snow_depth", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "value",
source=Probe("dew_point", code="cnd"),
match="ts"),
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "dew_point",
"outer_alias": "gst",
"inner_alias": "cnd",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023478 | train |
v3 | Sensor network script:
Node: drought_index | code: stn | fields: ts, lat, lon, qc
Sensor: snow_depth | fields: lat, reading, unit, qc
Task: Get value from drought_index where value exceeds the total depth from snow_depth for the same unit.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "depth",
source=Probe("snow_depth", code="snw"),
match="unit"),
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "snow_depth",
"outer_alias": "stn",
"inner_alias": "snw",
"proj_col": "value",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023479 | train |
v2 | Sensor network script:
Node: pressure | code: thr | fields: level, qc, reading, unit
Sensor: rainfall | fields: level, ts, unit, lon
Task: Get depth from pressure where a corresponding entry exists in rainfall with the same unit.
Script: | readings = fetch(
node=Node("pressure", code="thr"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="unit",
),
output="depth",
) | {
"outer_table": "pressure",
"inner_table": "rainfall",
"outer_alias": "thr",
"inner_alias": "rnfl",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023480 | train |
v2 | Sensor network script:
Node: temperature | code: thr | fields: unit, lat, lon, ts
Sensor: air_quality | fields: lon, lat, unit, depth
Task: Get value from temperature where a corresponding entry exists in air_quality with the same unit.
Script: | readings = fetch(
node=Node("temperature", code="thr"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="unit",
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "air_quality",
"outer_alias": "thr",
"inner_alias": "prt",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023481 | train |
v2 | Sensor network script:
Node: visibility | code: hub | fields: reading, lon, value, qc
Sensor: air_quality | fields: depth, value, ts, level
Task: Fetch value from visibility that have at least one corresponding air_quality measurement for the same type.
Script: | readings = fetch(
node=Node("visibility", code="hub"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="type",
),
output="value",
) | {
"outer_table": "visibility",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023482 | train |
v1 | Sensor network script:
Node: turbidity | code: stn | fields: depth, type, lat, ts
Sensor: temperature | fields: level, value, qc, lat
Task: Retrieve lon from turbidity whose depth is found in temperature records where type matches the outer node.
Script: | readings = fetch(
node=Node("turbidity", code="stn"),
filter=set_member(
field="depth",
source=Probe("temperature", code="thr"),
match="type",
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "temperature",
"outer_alias": "stn",
"inner_alias": "thr",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023483 | train |
v2 | Sensor network script:
Node: dew_point | code: mst | fields: level, unit, qc, type
Sensor: evaporation | fields: lat, depth, level, lon
Task: Retrieve reading from dew_point that have at least one matching reading in evaporation sharing the same type.
Script: | readings = fetch(
node=Node("dew_point", code="mst"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="type",
),
output="reading",
) | {
"outer_table": "dew_point",
"inner_table": "evaporation",
"outer_alias": "mst",
"inner_alias": "evp",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023484 | train |
v2 | Sensor network script:
Node: rainfall | code: clr | fields: qc, reading, ts, unit
Sensor: sunlight | fields: depth, value, ts, level
Task: Get value from rainfall where a corresponding entry exists in sunlight with the same unit.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="unit",
),
output="value",
) | {
"outer_table": "rainfall",
"inner_table": "sunlight",
"outer_alias": "clr",
"inner_alias": "brt",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023485 | train |
v2 | Sensor network script:
Node: visibility | code: stn | fields: depth, reading, lon, lat
Sensor: drought_index | fields: value, qc, lon, lat
Task: Retrieve value from visibility that have at least one matching reading in drought_index sharing the same unit.
Script: | readings = fetch(
node=Node("visibility", code="stn"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="unit",
),
output="value",
) | {
"outer_table": "visibility",
"inner_table": "drought_index",
"outer_alias": "stn",
"inner_alias": "drt",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023486 | train |
v3 | Sensor network script:
Node: drought_index | code: ref | fields: reading, depth, unit, lon
Sensor: sunlight | fields: lat, depth, qc, reading
Task: Retrieve reading from drought_index with depth above the AVG(reading) of sunlight readings sharing the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("sunlight", code="brt"),
match="ts"),
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023487 | train |
v1 | Sensor network script:
Node: humidity | code: gst | fields: reading, depth, lon, ts
Sensor: lightning | fields: qc, reading, ts, value
Task: Retrieve value from humidity whose ts is found in lightning records where depth matches the outer node.
Script: | readings = fetch(
node=Node("humidity", code="gst"),
filter=set_member(
field="ts",
source=Probe("lightning", code="tnd"),
match="depth",
),
output="value",
) | {
"outer_table": "humidity",
"inner_table": "lightning",
"outer_alias": "gst",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023488 | train |
v1 | Sensor network script:
Node: humidity | code: ref | fields: value, lat, qc, level
Sensor: visibility | fields: type, qc, lon, unit
Task: Fetch value from humidity where depth exists in visibility sensor data for the same ts.
Script: | readings = fetch(
node=Node("humidity", code="ref"),
filter=set_member(
field="depth",
source=Probe("visibility", code="clr"),
match="ts",
),
output="value",
) | {
"outer_table": "humidity",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "value",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023489 | train |
v2 | Sensor network script:
Node: drought_index | code: clr | fields: qc, level, lat, lon
Sensor: turbidity | fields: lon, level, reading, lat
Task: Get level from drought_index where a corresponding entry exists in turbidity with the same type.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="type",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023490 | train |
v3 | Sensor network script:
Node: evaporation | code: stn | fields: qc, reading, level, unit
Sensor: wind_speed | fields: reading, lon, value, qc
Task: Fetch value from evaporation where reading is greater than the total of depth in wind_speed for matching depth.
Script: | readings = fetch(
node=Node("evaporation", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "depth",
source=Probe("wind_speed", code="gst"),
match="depth"),
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023491 | train |
v2 | Sensor network script:
Node: wind_speed | code: clr | fields: type, qc, lat, lon
Sensor: temperature | fields: qc, unit, lat, ts
Task: Fetch depth from wind_speed that have at least one corresponding temperature measurement for the same qc.
Script: | readings = fetch(
node=Node("wind_speed", code="clr"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="qc",
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "temperature",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023492 | train |
v1 | Sensor network script:
Node: drought_index | code: clr | fields: type, qc, unit, level
Sensor: soil_moisture | fields: reading, lon, type, level
Task: Fetch depth from drought_index where unit exists in soil_moisture sensor data for the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=set_member(
field="unit",
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "soil_moisture",
"outer_alias": "clr",
"inner_alias": "grvl",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023493 | train |
v1 | Sensor network script:
Node: lightning | code: prt | fields: unit, qc, reading, type
Sensor: humidity | fields: lon, type, depth, unit
Task: Fetch lon from lightning where qc exists in humidity sensor data for the same ts.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=set_member(
field="qc",
source=Probe("humidity", code="hgr"),
match="ts",
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "humidity",
"outer_alias": "prt",
"inner_alias": "hgr",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023494 | train |
v1 | Sensor network script:
Node: cloud_cover | code: hub | fields: lat, ts, value, unit
Sensor: air_quality | fields: reading, unit, lat, lon
Task: Fetch lat from cloud_cover where unit exists in air_quality sensor data for the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=set_member(
field="unit",
source=Probe("air_quality", code="prt"),
match="qc",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023495 | train |
v1 | Sensor network script:
Node: soil_moisture | code: prt | fields: lon, value, type, depth
Sensor: cloud_cover | fields: depth, qc, value, unit
Task: Get lat from soil_moisture where type appears in cloud_cover readings with matching depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="prt"),
filter=set_member(
field="type",
source=Probe("cloud_cover", code="nbl"),
match="depth",
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "cloud_cover",
"outer_alias": "prt",
"inner_alias": "nbl",
"proj_col": "lat",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023496 | train |
v3 | Sensor network script:
Node: turbidity | code: prt | fields: lon, depth, reading, unit
Sensor: snow_depth | fields: ts, lat, value, reading
Task: Get depth from turbidity where reading exceeds the maximum value from snow_depth for the same unit.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "value",
source=Probe("snow_depth", code="snw"),
match="unit"),
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "snow_depth",
"outer_alias": "prt",
"inner_alias": "snw",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023497 | train |
v2 | Sensor network script:
Node: uv_index | code: mst | fields: lat, ts, value, reading
Sensor: temperature | fields: unit, depth, lon, value
Task: Retrieve depth from uv_index that have at least one matching reading in temperature sharing the same ts.
Script: | readings = fetch(
node=Node("uv_index", code="mst"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="ts",
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "temperature",
"outer_alias": "mst",
"inner_alias": "thr",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_023498 | train |
v1 | Sensor network script:
Node: sunlight | code: ref | fields: type, reading, lon, qc
Sensor: cloud_cover | fields: level, lon, type, qc
Task: Get depth from sunlight where qc appears in cloud_cover readings with matching type.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=set_member(
field="qc",
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_023499 | train |
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