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: pressure | code: stn | fields: lon, lat, value, unit
Sensor: uv_index | fields: depth, value, ts, lat
Task: Fetch lat from pressure that have at least one corresponding uv_index measurement for the same type.
Script: | readings = fetch(
node=Node("pressure", code="stn"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="type",
),
output="lat",
) | {
"outer_table": "pressure",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060400 | train |
v3 | Sensor network script:
Node: frost | code: prt | fields: level, ts, type, unit
Sensor: dew_point | fields: reading, ts, qc, lon
Task: Retrieve level from frost with reading above the MIN(reading) of dew_point readings sharing the same depth.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "reading",
source=Probe("dew_point", code="cnd"),
match="depth"),
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "dew_point",
"outer_alias": "prt",
"inner_alias": "cnd",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060401 | train |
v3 | Sensor network script:
Node: humidity | code: gst | fields: level, qc, ts, depth
Sensor: soil_moisture | fields: reading, lon, depth, ts
Task: Retrieve depth from humidity with reading above the MAX(reading) of soil_moisture readings sharing the same depth.
Script: | readings = fetch(
node=Node("humidity", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "reading",
source=Probe("soil_moisture", code="grvl"),
match="depth"),
),
output="depth",
) | {
"outer_table": "humidity",
"inner_table": "soil_moisture",
"outer_alias": "gst",
"inner_alias": "grvl",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060402 | train |
v1 | Sensor network script:
Node: humidity | code: clr | fields: reading, ts, value, depth
Sensor: wind_speed | fields: type, qc, value, unit
Task: Get lon from humidity where type appears in wind_speed readings with matching unit.
Script: | readings = fetch(
node=Node("humidity", code="clr"),
filter=set_member(
field="type",
source=Probe("wind_speed", code="gst"),
match="unit",
),
output="lon",
) | {
"outer_table": "humidity",
"inner_table": "wind_speed",
"outer_alias": "clr",
"inner_alias": "gst",
"proj_col": "lon",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060403 | train |
v1 | Sensor network script:
Node: drought_index | code: thr | fields: depth, qc, type, lon
Sensor: humidity | fields: value, depth, qc, unit
Task: Get level from drought_index where qc appears in humidity readings with matching ts.
Script: | readings = fetch(
node=Node("drought_index", code="thr"),
filter=set_member(
field="qc",
source=Probe("humidity", code="hgr"),
match="ts",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060404 | train |
v1 | Sensor network script:
Node: air_quality | code: ref | fields: qc, depth, reading, value
Sensor: turbidity | fields: value, qc, depth, unit
Task: Retrieve depth from air_quality whose depth is found in turbidity records where unit matches the outer node.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=set_member(
field="depth",
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060405 | train |
v2 | Sensor network script:
Node: wind_speed | code: stn | fields: reading, unit, depth, level
Sensor: turbidity | fields: ts, unit, level, reading
Task: Fetch lon from wind_speed that have at least one corresponding turbidity measurement for the same qc.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "turbidity",
"outer_alias": "stn",
"inner_alias": "ftu",
"proj_col": "lon",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060406 | train |
v3 | Sensor network script:
Node: uv_index | code: mst | fields: qc, level, lat, value
Sensor: air_quality | fields: unit, type, lon, value
Task: Retrieve depth from uv_index with depth above the MIN(depth) of air_quality readings sharing the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="mst"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "depth",
source=Probe("air_quality", code="prt"),
match="unit"),
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060407 | train |
v3 | Sensor network script:
Node: temperature | code: hub | fields: lon, level, depth, type
Sensor: humidity | fields: lon, type, qc, ts
Task: Retrieve level from temperature with depth above the SUM(reading) of humidity readings sharing the same depth.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "reading",
source=Probe("humidity", code="hgr"),
match="depth"),
),
output="level",
) | {
"outer_table": "temperature",
"inner_table": "humidity",
"outer_alias": "hub",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060408 | train |
v1 | Sensor network script:
Node: snow_depth | code: thr | fields: type, depth, lat, qc
Sensor: pressure | fields: lat, depth, unit, qc
Task: Retrieve level from snow_depth whose type is found in pressure records where ts matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=set_member(
field="type",
source=Probe("pressure", code="mbl"),
match="ts",
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "pressure",
"outer_alias": "thr",
"inner_alias": "mbl",
"proj_col": "level",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060409 | train |
v1 | Sensor network script:
Node: visibility | code: hub | fields: depth, ts, lon, unit
Sensor: frost | fields: lon, depth, reading, qc
Task: Fetch lon from visibility where depth exists in frost sensor data for the same qc.
Script: | readings = fetch(
node=Node("visibility", code="hub"),
filter=set_member(
field="depth",
source=Probe("frost", code="frs"),
match="qc",
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060410 | train |
v2 | Sensor network script:
Node: lightning | code: hub | fields: lat, reading, depth, ts
Sensor: visibility | fields: lat, value, level, lon
Task: Fetch level from lightning that have at least one corresponding visibility measurement for the same type.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="type",
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "visibility",
"outer_alias": "hub",
"inner_alias": "clr",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060411 | train |
v1 | Sensor network script:
Node: temperature | code: ref | fields: value, level, unit, depth
Sensor: lightning | fields: qc, ts, level, lon
Task: Retrieve depth from temperature whose depth is found in lightning records where qc matches the outer node.
Script: | readings = fetch(
node=Node("temperature", code="ref"),
filter=set_member(
field="depth",
source=Probe("lightning", code="tnd"),
match="qc",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "lightning",
"outer_alias": "ref",
"inner_alias": "tnd",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060412 | train |
v3 | Sensor network script:
Node: dew_point | code: clr | fields: value, ts, level, reading
Sensor: frost | fields: depth, reading, type, unit
Task: Retrieve depth from dew_point with value above the COUNT(reading) of frost readings sharing the same type.
Script: | readings = fetch(
node=Node("dew_point", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "reading",
source=Probe("frost", code="frs"),
match="type"),
),
output="depth",
) | {
"outer_table": "dew_point",
"inner_table": "frost",
"outer_alias": "clr",
"inner_alias": "frs",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060413 | train |
v1 | Sensor network script:
Node: dew_point | code: ref | fields: lon, reading, level, depth
Sensor: air_quality | fields: value, unit, ts, depth
Task: Retrieve value from dew_point whose qc is found in air_quality records where unit matches the outer node.
Script: | readings = fetch(
node=Node("dew_point", code="ref"),
filter=set_member(
field="qc",
source=Probe("air_quality", code="prt"),
match="unit",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "value",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060414 | train |
v2 | Sensor network script:
Node: wind_speed | code: ref | fields: unit, depth, reading, qc
Sensor: soil_moisture | fields: unit, level, qc, lat
Task: Get depth from wind_speed where a corresponding entry exists in soil_moisture with the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="ref"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="type",
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "soil_moisture",
"outer_alias": "ref",
"inner_alias": "grvl",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060415 | train |
v3 | Sensor network script:
Node: dew_point | code: clr | fields: lon, unit, ts, value
Sensor: sunlight | fields: reading, ts, qc, level
Task: Get level from dew_point where depth exceeds the average value from sunlight for the same unit.
Script: | readings = fetch(
node=Node("dew_point", code="clr"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("sunlight", code="brt"),
match="unit"),
),
output="level",
) | {
"outer_table": "dew_point",
"inner_table": "sunlight",
"outer_alias": "clr",
"inner_alias": "brt",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060416 | train |
v1 | Sensor network script:
Node: evaporation | code: thr | fields: lat, type, level, unit
Sensor: turbidity | fields: type, ts, level, depth
Task: Retrieve depth from evaporation whose depth is found in turbidity records where depth matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="thr"),
filter=set_member(
field="depth",
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="depth",
) | {
"outer_table": "evaporation",
"inner_table": "turbidity",
"outer_alias": "thr",
"inner_alias": "ftu",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060417 | train |
v1 | Sensor network script:
Node: pressure | code: ref | fields: type, lon, unit, lat
Sensor: evaporation | fields: ts, qc, level, depth
Task: Fetch value from pressure where unit exists in evaporation sensor data for the same ts.
Script: | readings = fetch(
node=Node("pressure", code="ref"),
filter=set_member(
field="unit",
source=Probe("evaporation", code="evp"),
match="ts",
),
output="value",
) | {
"outer_table": "pressure",
"inner_table": "evaporation",
"outer_alias": "ref",
"inner_alias": "evp",
"proj_col": "value",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060418 | train |
v1 | Sensor network script:
Node: soil_moisture | code: gst | fields: value, qc, reading, lon
Sensor: pressure | fields: depth, qc, unit, type
Task: Fetch value from soil_moisture where ts exists in pressure sensor data for the same qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="gst"),
filter=set_member(
field="ts",
source=Probe("pressure", code="mbl"),
match="qc",
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "value",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060419 | train |
v2 | Sensor network script:
Node: dew_point | code: stn | fields: lon, qc, depth, level
Sensor: turbidity | fields: unit, lat, depth, lon
Task: Fetch reading from dew_point that have at least one corresponding turbidity measurement for the same depth.
Script: | readings = fetch(
node=Node("dew_point", code="stn"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="reading",
) | {
"outer_table": "dew_point",
"inner_table": "turbidity",
"outer_alias": "stn",
"inner_alias": "ftu",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060420 | train |
v3 | Sensor network script:
Node: dew_point | code: gst | fields: level, ts, type, lon
Sensor: drought_index | fields: depth, qc, lon, lat
Task: Fetch lon from dew_point where depth is greater than the minimum of depth in drought_index for matching depth.
Script: | readings = fetch(
node=Node("dew_point", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "depth",
source=Probe("drought_index", code="drt"),
match="depth"),
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "drought_index",
"outer_alias": "gst",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060421 | train |
v2 | Sensor network script:
Node: temperature | code: ref | fields: unit, lon, level, ts
Sensor: sunlight | fields: depth, type, lon, level
Task: Retrieve reading from temperature that have at least one matching reading in sunlight sharing the same type.
Script: | readings = fetch(
node=Node("temperature", code="ref"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="type",
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060422 | train |
v3 | Sensor network script:
Node: sunlight | code: stn | fields: level, value, reading, depth
Sensor: lightning | fields: lat, value, reading, lon
Task: Fetch value from sunlight where value is greater than the minimum of reading in lightning for matching type.
Script: | readings = fetch(
node=Node("sunlight", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "reading",
source=Probe("lightning", code="tnd"),
match="type"),
),
output="value",
) | {
"outer_table": "sunlight",
"inner_table": "lightning",
"outer_alias": "stn",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060423 | train |
v2 | Sensor network script:
Node: rainfall | code: hub | fields: lat, lon, value, unit
Sensor: uv_index | fields: level, depth, unit, value
Task: Retrieve depth from rainfall that have at least one matching reading in uv_index sharing the same unit.
Script: | readings = fetch(
node=Node("rainfall", code="hub"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="unit",
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "uv_index",
"outer_alias": "hub",
"inner_alias": "flx",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060424 | train |
v1 | Sensor network script:
Node: sunlight | code: mst | fields: type, value, ts, lon
Sensor: air_quality | fields: value, depth, unit, ts
Task: Retrieve level from sunlight whose depth is found in air_quality records where qc matches the outer node.
Script: | readings = fetch(
node=Node("sunlight", code="mst"),
filter=set_member(
field="depth",
source=Probe("air_quality", code="prt"),
match="qc",
),
output="level",
) | {
"outer_table": "sunlight",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "level",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060425 | train |
v1 | Sensor network script:
Node: lightning | code: thr | fields: depth, value, lat, level
Sensor: air_quality | fields: type, unit, lat, depth
Task: Fetch lon from lightning where unit exists in air_quality sensor data for the same type.
Script: | readings = fetch(
node=Node("lightning", code="thr"),
filter=set_member(
field="unit",
source=Probe("air_quality", code="prt"),
match="type",
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "air_quality",
"outer_alias": "thr",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060426 | train |
v3 | Sensor network script:
Node: lightning | code: mst | fields: lat, ts, unit, level
Sensor: pressure | fields: type, lat, unit, value
Task: Fetch lat from lightning where reading is greater than the count of of depth in pressure for matching ts.
Script: | readings = fetch(
node=Node("lightning", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "depth",
source=Probe("pressure", code="mbl"),
match="ts"),
),
output="lat",
) | {
"outer_table": "lightning",
"inner_table": "pressure",
"outer_alias": "mst",
"inner_alias": "mbl",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060427 | train |
v2 | Sensor network script:
Node: turbidity | code: thr | fields: ts, level, type, lon
Sensor: wind_speed | fields: qc, type, depth, unit
Task: Retrieve value from turbidity that have at least one matching reading in wind_speed sharing the same qc.
Script: | readings = fetch(
node=Node("turbidity", code="thr"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="qc",
),
output="value",
) | {
"outer_table": "turbidity",
"inner_table": "wind_speed",
"outer_alias": "thr",
"inner_alias": "gst",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060428 | train |
v3 | Sensor network script:
Node: wind_speed | code: prt | fields: depth, unit, type, reading
Sensor: drought_index | fields: level, value, lon, unit
Task: Retrieve value from wind_speed with depth above the AVG(reading) of drought_index readings sharing the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("drought_index", code="drt"),
match="type"),
),
output="value",
) | {
"outer_table": "wind_speed",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060429 | train |
v1 | Sensor network script:
Node: rainfall | code: clr | fields: lat, reading, lon, value
Sensor: uv_index | fields: lon, unit, qc, value
Task: Retrieve level from rainfall whose depth is found in uv_index records where qc matches the outer node.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=set_member(
field="depth",
source=Probe("uv_index", code="flx"),
match="qc",
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "uv_index",
"outer_alias": "clr",
"inner_alias": "flx",
"proj_col": "level",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060430 | train |
v1 | Sensor network script:
Node: temperature | code: clr | fields: lat, value, qc, level
Sensor: evaporation | fields: lon, value, depth, level
Task: Retrieve level from temperature whose unit is found in evaporation records where depth matches the outer node.
Script: | readings = fetch(
node=Node("temperature", code="clr"),
filter=set_member(
field="unit",
source=Probe("evaporation", code="evp"),
match="depth",
),
output="level",
) | {
"outer_table": "temperature",
"inner_table": "evaporation",
"outer_alias": "clr",
"inner_alias": "evp",
"proj_col": "level",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060431 | train |
v3 | Sensor network script:
Node: soil_moisture | code: clr | fields: qc, lat, ts, unit
Sensor: turbidity | fields: type, lat, reading, qc
Task: Retrieve depth from soil_moisture with value above the AVG(depth) of turbidity readings sharing the same qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("turbidity", code="ftu"),
match="qc"),
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060432 | train |
v1 | Sensor network script:
Node: snow_depth | code: stn | fields: ts, type, depth, unit
Sensor: turbidity | fields: type, value, ts, lon
Task: Fetch lon from snow_depth where unit exists in turbidity sensor data for the same depth.
Script: | readings = fetch(
node=Node("snow_depth", code="stn"),
filter=set_member(
field="unit",
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "turbidity",
"outer_alias": "stn",
"inner_alias": "ftu",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060433 | train |
v3 | Sensor network script:
Node: cloud_cover | code: ref | fields: reading, value, depth, ts
Sensor: temperature | fields: value, lat, type, level
Task: Fetch reading from cloud_cover where value is greater than the count of of reading in temperature for matching type.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "reading",
source=Probe("temperature", code="thr"),
match="type"),
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060434 | train |
v1 | Sensor network script:
Node: temperature | code: clr | fields: ts, level, lon, depth
Sensor: wind_speed | fields: ts, type, value, lon
Task: Fetch value from temperature where depth exists in wind_speed sensor data for the same qc.
Script: | readings = fetch(
node=Node("temperature", code="clr"),
filter=set_member(
field="depth",
source=Probe("wind_speed", code="gst"),
match="qc",
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "wind_speed",
"outer_alias": "clr",
"inner_alias": "gst",
"proj_col": "value",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060435 | train |
v1 | Sensor network script:
Node: uv_index | code: mst | fields: depth, qc, level, value
Sensor: cloud_cover | fields: type, lon, level, ts
Task: Retrieve depth from uv_index whose depth is found in cloud_cover records where depth matches the outer node.
Script: | readings = fetch(
node=Node("uv_index", code="mst"),
filter=set_member(
field="depth",
source=Probe("cloud_cover", code="nbl"),
match="depth",
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "cloud_cover",
"outer_alias": "mst",
"inner_alias": "nbl",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060436 | train |
v1 | Sensor network script:
Node: soil_moisture | code: hub | fields: depth, type, level, ts
Sensor: turbidity | fields: unit, value, lon, reading
Task: Get level from soil_moisture where type appears in turbidity readings with matching qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="hub"),
filter=set_member(
field="type",
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "turbidity",
"outer_alias": "hub",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060437 | train |
v3 | Sensor network script:
Node: sunlight | code: ref | fields: value, lat, qc, unit
Sensor: dew_point | fields: depth, type, lat, qc
Task: Get reading from sunlight where depth exceeds the average value from dew_point for the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("dew_point", code="cnd"),
match="qc"),
),
output="reading",
) | {
"outer_table": "sunlight",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060438 | train |
v2 | Sensor network script:
Node: air_quality | code: gst | fields: qc, value, depth, level
Sensor: visibility | fields: lon, reading, value, depth
Task: Fetch lat from air_quality that have at least one corresponding visibility measurement for the same qc.
Script: | readings = fetch(
node=Node("air_quality", code="gst"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="qc",
),
output="lat",
) | {
"outer_table": "air_quality",
"inner_table": "visibility",
"outer_alias": "gst",
"inner_alias": "clr",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060439 | train |
v3 | Sensor network script:
Node: temperature | code: hub | fields: level, depth, ts, qc
Sensor: evaporation | fields: lon, depth, value, ts
Task: Get depth from temperature where reading exceeds the average depth from evaporation for the same type.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("evaporation", code="evp"),
match="type"),
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060440 | train |
v1 | Sensor network script:
Node: air_quality | code: clr | fields: reading, type, value, ts
Sensor: humidity | fields: type, depth, reading, qc
Task: Get level from air_quality where ts appears in humidity readings with matching ts.
Script: | readings = fetch(
node=Node("air_quality", code="clr"),
filter=set_member(
field="ts",
source=Probe("humidity", code="hgr"),
match="ts",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "humidity",
"outer_alias": "clr",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060441 | train |
v3 | Sensor network script:
Node: frost | code: gst | fields: lon, unit, qc, depth
Sensor: visibility | fields: depth, qc, type, ts
Task: Get level from frost where reading exceeds the minimum depth from visibility for the same ts.
Script: | readings = fetch(
node=Node("frost", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "depth",
source=Probe("visibility", code="clr"),
match="ts"),
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "visibility",
"outer_alias": "gst",
"inner_alias": "clr",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060442 | train |
v1 | Sensor network script:
Node: snow_depth | code: clr | fields: reading, ts, lon, depth
Sensor: air_quality | fields: type, lon, qc, lat
Task: Retrieve lon from snow_depth whose ts is found in air_quality records where qc matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="clr"),
filter=set_member(
field="ts",
source=Probe("air_quality", code="prt"),
match="qc",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "air_quality",
"outer_alias": "clr",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060443 | train |
v1 | Sensor network script:
Node: dew_point | code: stn | fields: value, reading, type, qc
Sensor: visibility | fields: qc, lat, type, lon
Task: Retrieve reading from dew_point whose type is found in visibility records where ts matches the outer node.
Script: | readings = fetch(
node=Node("dew_point", code="stn"),
filter=set_member(
field="type",
source=Probe("visibility", code="clr"),
match="ts",
),
output="reading",
) | {
"outer_table": "dew_point",
"inner_table": "visibility",
"outer_alias": "stn",
"inner_alias": "clr",
"proj_col": "reading",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060444 | train |
v3 | Sensor network script:
Node: lightning | code: stn | fields: qc, depth, lat, value
Sensor: sunlight | fields: type, value, lat, level
Task: Get lon from lightning where depth exceeds the average value from sunlight for the same type.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("sunlight", code="brt"),
match="type"),
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "sunlight",
"outer_alias": "stn",
"inner_alias": "brt",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060445 | train |
v2 | Sensor network script:
Node: drought_index | code: clr | fields: qc, reading, unit, lat
Sensor: wind_speed | fields: type, level, reading, lon
Task: Fetch level from drought_index that have at least one corresponding wind_speed measurement for the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="ts",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "wind_speed",
"outer_alias": "clr",
"inner_alias": "gst",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060446 | train |
v3 | Sensor network script:
Node: turbidity | code: prt | fields: qc, value, unit, level
Sensor: visibility | fields: level, unit, reading, type
Task: Fetch depth from turbidity where value is greater than the maximum of reading in visibility for matching depth.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("visibility", code="clr"),
match="depth"),
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "visibility",
"outer_alias": "prt",
"inner_alias": "clr",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060447 | train |
v3 | Sensor network script:
Node: cloud_cover | code: clr | fields: level, value, qc, lon
Sensor: snow_depth | fields: type, ts, depth, reading
Task: Fetch level from cloud_cover where reading is greater than the minimum of depth in snow_depth for matching type.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "depth",
source=Probe("snow_depth", code="snw"),
match="type"),
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "snow_depth",
"outer_alias": "clr",
"inner_alias": "snw",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060448 | train |
v3 | Sensor network script:
Node: drought_index | code: hub | fields: level, unit, reading, lat
Sensor: dew_point | fields: type, reading, unit, depth
Task: Get lat from drought_index where value exceeds the average reading from dew_point for the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "reading",
source=Probe("dew_point", code="cnd"),
match="qc"),
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "dew_point",
"outer_alias": "hub",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060449 | train |
v1 | Sensor network script:
Node: sunlight | code: mst | fields: lat, unit, type, depth
Sensor: pressure | fields: unit, lon, qc, level
Task: Fetch lat from sunlight where depth exists in pressure sensor data for the same ts.
Script: | readings = fetch(
node=Node("sunlight", code="mst"),
filter=set_member(
field="depth",
source=Probe("pressure", code="mbl"),
match="ts",
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "pressure",
"outer_alias": "mst",
"inner_alias": "mbl",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060450 | train |
v2 | Sensor network script:
Node: uv_index | code: hub | fields: value, level, qc, ts
Sensor: cloud_cover | fields: unit, lat, type, lon
Task: Get lat from uv_index where a corresponding entry exists in cloud_cover with the same qc.
Script: | readings = fetch(
node=Node("uv_index", code="hub"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "cloud_cover",
"outer_alias": "hub",
"inner_alias": "nbl",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060451 | train |
v3 | Sensor network script:
Node: uv_index | code: ref | fields: ts, value, level, type
Sensor: soil_moisture | fields: level, ts, qc, type
Task: Fetch depth from uv_index where value is greater than the count of of reading in soil_moisture for matching qc.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "reading",
source=Probe("soil_moisture", code="grvl"),
match="qc"),
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "soil_moisture",
"outer_alias": "ref",
"inner_alias": "grvl",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060452 | train |
v2 | Sensor network script:
Node: air_quality | code: prt | fields: level, value, ts, type
Sensor: drought_index | fields: reading, lat, value, lon
Task: Get depth from air_quality where a corresponding entry exists in drought_index with the same type.
Script: | readings = fetch(
node=Node("air_quality", code="prt"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="type",
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060453 | train |
v3 | Sensor network script:
Node: drought_index | code: clr | fields: lat, type, ts, qc
Sensor: cloud_cover | fields: unit, depth, type, lat
Task: Retrieve reading from drought_index with depth above the MAX(value) of cloud_cover readings sharing the same depth.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "value",
source=Probe("cloud_cover", code="nbl"),
match="depth"),
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "cloud_cover",
"outer_alias": "clr",
"inner_alias": "nbl",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060454 | train |
v3 | Sensor network script:
Node: soil_moisture | code: clr | fields: ts, lon, lat, level
Sensor: temperature | fields: type, reading, level, ts
Task: Get lat from soil_moisture where reading exceeds the average reading from temperature for the same qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "reading",
source=Probe("temperature", code="thr"),
match="qc"),
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "temperature",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060455 | train |
v1 | Sensor network script:
Node: rainfall | code: prt | fields: lat, type, ts, reading
Sensor: temperature | fields: level, depth, value, type
Task: Retrieve value from rainfall whose qc is found in temperature records where type matches the outer node.
Script: | readings = fetch(
node=Node("rainfall", code="prt"),
filter=set_member(
field="qc",
source=Probe("temperature", code="thr"),
match="type",
),
output="value",
) | {
"outer_table": "rainfall",
"inner_table": "temperature",
"outer_alias": "prt",
"inner_alias": "thr",
"proj_col": "value",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060456 | train |
v3 | Sensor network script:
Node: pressure | code: gst | fields: qc, ts, type, value
Sensor: temperature | fields: depth, unit, value, type
Task: Get depth from pressure where value exceeds the total reading from temperature for the same depth.
Script: | readings = fetch(
node=Node("pressure", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("temperature", code="thr"),
match="depth"),
),
output="depth",
) | {
"outer_table": "pressure",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060457 | train |
v3 | Sensor network script:
Node: soil_moisture | code: thr | fields: type, depth, unit, qc
Sensor: visibility | fields: reading, lon, lat, depth
Task: Get level from soil_moisture where depth exceeds the total reading from visibility for the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "reading",
source=Probe("visibility", code="clr"),
match="ts"),
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "visibility",
"outer_alias": "thr",
"inner_alias": "clr",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060458 | train |
v2 | Sensor network script:
Node: rainfall | code: ref | fields: type, qc, value, depth
Sensor: evaporation | fields: type, depth, qc, level
Task: Get value from rainfall where a corresponding entry exists in evaporation with the same qc.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="qc",
),
output="value",
) | {
"outer_table": "rainfall",
"inner_table": "evaporation",
"outer_alias": "ref",
"inner_alias": "evp",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060459 | train |
v3 | Sensor network script:
Node: rainfall | code: prt | fields: lat, lon, value, ts
Sensor: drought_index | fields: value, type, qc, lon
Task: Get lon from rainfall where value exceeds the minimum depth from drought_index for the same ts.
Script: | readings = fetch(
node=Node("rainfall", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "depth",
source=Probe("drought_index", code="drt"),
match="ts"),
),
output="lon",
) | {
"outer_table": "rainfall",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060460 | train |
v1 | Sensor network script:
Node: snow_depth | code: mst | fields: type, ts, qc, unit
Sensor: temperature | fields: value, lon, lat, unit
Task: Get reading from snow_depth where type appears in temperature readings with matching depth.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=set_member(
field="type",
source=Probe("temperature", code="thr"),
match="depth",
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "temperature",
"outer_alias": "mst",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060461 | train |
v3 | Sensor network script:
Node: turbidity | code: mst | fields: value, ts, reading, level
Sensor: wind_speed | fields: lat, depth, type, lon
Task: Get lon from turbidity where reading exceeds the count of depth from wind_speed for the same ts.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "depth",
source=Probe("wind_speed", code="gst"),
match="ts"),
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "wind_speed",
"outer_alias": "mst",
"inner_alias": "gst",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060462 | train |
v3 | Sensor network script:
Node: soil_moisture | code: hub | fields: lon, type, level, ts
Sensor: frost | fields: depth, level, lat, qc
Task: Get reading from soil_moisture where depth exceeds the maximum reading from frost for the same qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "reading",
source=Probe("frost", code="frs"),
match="qc"),
),
output="reading",
) | {
"outer_table": "soil_moisture",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060463 | train |
v1 | Sensor network script:
Node: visibility | code: ref | fields: value, depth, ts, type
Sensor: lightning | fields: level, qc, type, reading
Task: Retrieve level from visibility whose type is found in lightning records where depth matches the outer node.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=set_member(
field="type",
source=Probe("lightning", code="tnd"),
match="depth",
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "lightning",
"outer_alias": "ref",
"inner_alias": "tnd",
"proj_col": "level",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060464 | train |
v3 | Sensor network script:
Node: drought_index | code: stn | fields: value, reading, lon, level
Sensor: rainfall | fields: lon, qc, ts, lat
Task: Fetch depth from drought_index where depth is greater than the minimum of reading in rainfall for matching type.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "reading",
source=Probe("rainfall", code="rnfl"),
match="type"),
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "rainfall",
"outer_alias": "stn",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060465 | train |
v3 | Sensor network script:
Node: visibility | code: ref | fields: unit, depth, qc, reading
Sensor: turbidity | fields: depth, ts, qc, reading
Task: Retrieve level from visibility with depth above the MIN(value) of turbidity readings sharing the same qc.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("turbidity", code="ftu"),
match="qc"),
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060466 | train |
v1 | Sensor network script:
Node: temperature | code: hub | fields: lon, type, value, qc
Sensor: evaporation | fields: lon, qc, level, value
Task: Retrieve value from temperature whose type is found in evaporation records where unit matches the outer node.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=set_member(
field="type",
source=Probe("evaporation", code="evp"),
match="unit",
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "value",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060467 | train |
v2 | Sensor network script:
Node: soil_moisture | code: prt | fields: reading, lat, level, depth
Sensor: temperature | fields: type, depth, ts, lat
Task: Fetch lat from soil_moisture that have at least one corresponding temperature measurement for the same unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="prt"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="unit",
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "temperature",
"outer_alias": "prt",
"inner_alias": "thr",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060468 | train |
v2 | Sensor network script:
Node: visibility | code: mst | fields: lat, reading, level, qc
Sensor: pressure | fields: lat, ts, value, unit
Task: Retrieve reading from visibility that have at least one matching reading in pressure sharing the same qc.
Script: | readings = fetch(
node=Node("visibility", code="mst"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="qc",
),
output="reading",
) | {
"outer_table": "visibility",
"inner_table": "pressure",
"outer_alias": "mst",
"inner_alias": "mbl",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060469 | train |
v1 | Sensor network script:
Node: turbidity | code: ref | fields: reading, value, type, qc
Sensor: wind_speed | fields: value, depth, level, unit
Task: Retrieve level from turbidity whose ts is found in wind_speed records where type matches the outer node.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=set_member(
field="ts",
source=Probe("wind_speed", code="gst"),
match="type",
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "level",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060470 | train |
v2 | Sensor network script:
Node: soil_moisture | code: mst | fields: qc, reading, ts, lat
Sensor: frost | fields: lon, level, type, reading
Task: Fetch depth from soil_moisture that have at least one corresponding frost measurement for the same depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=has_match(
source=Probe("frost", code="frs"),
match="depth",
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "frost",
"outer_alias": "mst",
"inner_alias": "frs",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060471 | train |
v1 | Sensor network script:
Node: temperature | code: mst | fields: level, value, unit, depth
Sensor: visibility | fields: value, depth, reading, qc
Task: Get level from temperature where qc appears in visibility readings with matching depth.
Script: | readings = fetch(
node=Node("temperature", code="mst"),
filter=set_member(
field="qc",
source=Probe("visibility", code="clr"),
match="depth",
),
output="level",
) | {
"outer_table": "temperature",
"inner_table": "visibility",
"outer_alias": "mst",
"inner_alias": "clr",
"proj_col": "level",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060472 | train |
v1 | Sensor network script:
Node: evaporation | code: ref | fields: lon, reading, unit, value
Sensor: frost | fields: qc, type, depth, lat
Task: Fetch lat from evaporation where depth exists in frost sensor data for the same unit.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=set_member(
field="depth",
source=Probe("frost", code="frs"),
match="unit",
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "frost",
"outer_alias": "ref",
"inner_alias": "frs",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060473 | train |
v1 | Sensor network script:
Node: cloud_cover | code: prt | fields: level, type, lon, unit
Sensor: frost | fields: level, depth, lon, ts
Task: Fetch lon from cloud_cover where type exists in frost sensor data for the same ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="prt"),
filter=set_member(
field="type",
source=Probe("frost", code="frs"),
match="ts",
),
output="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "frost",
"outer_alias": "prt",
"inner_alias": "frs",
"proj_col": "lon",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060474 | train |
v2 | Sensor network script:
Node: temperature | code: thr | fields: qc, value, reading, depth
Sensor: air_quality | fields: value, type, depth, qc
Task: Fetch reading from temperature that have at least one corresponding air_quality measurement for the same type.
Script: | readings = fetch(
node=Node("temperature", code="thr"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="type",
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "air_quality",
"outer_alias": "thr",
"inner_alias": "prt",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060475 | train |
v2 | Sensor network script:
Node: drought_index | code: ref | fields: qc, lat, unit, level
Sensor: turbidity | fields: unit, value, level, type
Task: Get level from drought_index where a corresponding entry exists in turbidity with the same depth.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060476 | train |
v1 | Sensor network script:
Node: humidity | code: ref | fields: reading, unit, ts, qc
Sensor: cloud_cover | fields: type, unit, depth, lat
Task: Retrieve reading from humidity whose unit is found in cloud_cover records where qc matches the outer node.
Script: | readings = fetch(
node=Node("humidity", code="ref"),
filter=set_member(
field="unit",
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="reading",
) | {
"outer_table": "humidity",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060477 | train |
v1 | Sensor network script:
Node: rainfall | code: hub | fields: level, value, lat, qc
Sensor: uv_index | fields: ts, level, lat, value
Task: Get depth from rainfall where type appears in uv_index readings with matching depth.
Script: | readings = fetch(
node=Node("rainfall", code="hub"),
filter=set_member(
field="type",
source=Probe("uv_index", code="flx"),
match="depth",
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "uv_index",
"outer_alias": "hub",
"inner_alias": "flx",
"proj_col": "depth",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060478 | train |
v3 | Sensor network script:
Node: pressure | code: prt | fields: ts, level, type, value
Sensor: visibility | fields: depth, reading, lon, level
Task: Get lon from pressure where reading exceeds the count of depth from visibility for the same ts.
Script: | readings = fetch(
node=Node("pressure", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "depth",
source=Probe("visibility", code="clr"),
match="ts"),
),
output="lon",
) | {
"outer_table": "pressure",
"inner_table": "visibility",
"outer_alias": "prt",
"inner_alias": "clr",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060479 | train |
v2 | Sensor network script:
Node: wind_speed | code: hub | fields: ts, type, qc, lon
Sensor: temperature | fields: value, ts, level, reading
Task: Retrieve reading from wind_speed that have at least one matching reading in temperature sharing the same ts.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="ts",
),
output="reading",
) | {
"outer_table": "wind_speed",
"inner_table": "temperature",
"outer_alias": "hub",
"inner_alias": "thr",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060480 | train |
v2 | Sensor network script:
Node: temperature | code: hub | fields: lat, level, type, lon
Sensor: air_quality | fields: qc, reading, unit, lon
Task: Get reading from temperature where a corresponding entry exists in air_quality with the same qc.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="qc",
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060481 | train |
v1 | Sensor network script:
Node: uv_index | code: prt | fields: lat, lon, type, unit
Sensor: dew_point | fields: level, ts, reading, lon
Task: Get value from uv_index where qc appears in dew_point readings with matching qc.
Script: | readings = fetch(
node=Node("uv_index", code="prt"),
filter=set_member(
field="qc",
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="value",
) | {
"outer_table": "uv_index",
"inner_table": "dew_point",
"outer_alias": "prt",
"inner_alias": "cnd",
"proj_col": "value",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060482 | train |
v3 | Sensor network script:
Node: lightning | code: thr | fields: level, lon, ts, value
Sensor: visibility | fields: lon, reading, type, unit
Task: Fetch lon from lightning where reading is greater than the maximum of reading in visibility for matching qc.
Script: | readings = fetch(
node=Node("lightning", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "reading",
source=Probe("visibility", code="clr"),
match="qc"),
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "visibility",
"outer_alias": "thr",
"inner_alias": "clr",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060483 | train |
v3 | Sensor network script:
Node: pressure | code: hub | fields: reading, unit, type, level
Sensor: frost | fields: depth, reading, level, lat
Task: Retrieve reading from pressure with value above the MAX(depth) of frost readings sharing the same depth.
Script: | readings = fetch(
node=Node("pressure", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "depth",
source=Probe("frost", code="frs"),
match="depth"),
),
output="reading",
) | {
"outer_table": "pressure",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060484 | train |
v3 | Sensor network script:
Node: temperature | code: thr | fields: level, value, lat, lon
Sensor: wind_speed | fields: lon, qc, depth, level
Task: Retrieve depth from temperature with reading above the SUM(value) of wind_speed readings sharing the same unit.
Script: | readings = fetch(
node=Node("temperature", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "value",
source=Probe("wind_speed", code="gst"),
match="unit"),
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "wind_speed",
"outer_alias": "thr",
"inner_alias": "gst",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060485 | train |
v1 | Sensor network script:
Node: lightning | code: mst | fields: unit, lon, type, lat
Sensor: uv_index | fields: type, ts, reading, value
Task: Fetch depth from lightning where ts exists in uv_index sensor data for the same depth.
Script: | readings = fetch(
node=Node("lightning", code="mst"),
filter=set_member(
field="ts",
source=Probe("uv_index", code="flx"),
match="depth",
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "uv_index",
"outer_alias": "mst",
"inner_alias": "flx",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060486 | train |
v1 | Sensor network script:
Node: frost | code: mst | fields: level, reading, unit, depth
Sensor: snow_depth | fields: ts, unit, type, level
Task: Fetch depth from frost where ts exists in snow_depth sensor data for the same depth.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=set_member(
field="ts",
source=Probe("snow_depth", code="snw"),
match="depth",
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "snow_depth",
"outer_alias": "mst",
"inner_alias": "snw",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060487 | train |
v2 | Sensor network script:
Node: lightning | code: gst | fields: type, ts, qc, lat
Sensor: sunlight | fields: ts, value, lat, qc
Task: Retrieve value from lightning that have at least one matching reading in sunlight sharing the same qc.
Script: | readings = fetch(
node=Node("lightning", code="gst"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="qc",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060488 | train |
v1 | Sensor network script:
Node: sunlight | code: clr | fields: ts, unit, lon, lat
Sensor: turbidity | fields: level, lat, ts, depth
Task: Retrieve depth from sunlight whose unit is found in turbidity records where ts matches the outer node.
Script: | readings = fetch(
node=Node("sunlight", code="clr"),
filter=set_member(
field="unit",
source=Probe("turbidity", code="ftu"),
match="ts",
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060489 | train |
v1 | Sensor network script:
Node: frost | code: ref | fields: qc, depth, value, lon
Sensor: temperature | fields: depth, type, lat, value
Task: Get depth from frost where type appears in temperature readings with matching unit.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=set_member(
field="type",
source=Probe("temperature", code="thr"),
match="unit",
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "thr",
"proj_col": "depth",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_060490 | train |
v3 | Sensor network script:
Node: rainfall | code: mst | fields: lat, ts, depth, qc
Sensor: humidity | fields: qc, ts, depth, unit
Task: Get level from rainfall where depth exceeds the minimum reading from humidity for the same type.
Script: | readings = fetch(
node=Node("rainfall", code="mst"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "reading",
source=Probe("humidity", code="hgr"),
match="type"),
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060491 | train |
v1 | Sensor network script:
Node: wind_speed | code: prt | fields: depth, ts, qc, value
Sensor: frost | fields: lon, level, depth, reading
Task: Get lat from wind_speed where ts appears in frost readings with matching ts.
Script: | readings = fetch(
node=Node("wind_speed", code="prt"),
filter=set_member(
field="ts",
source=Probe("frost", code="frs"),
match="ts",
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "frost",
"outer_alias": "prt",
"inner_alias": "frs",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060492 | train |
v3 | Sensor network script:
Node: wind_speed | code: thr | fields: ts, level, unit, depth
Sensor: pressure | fields: qc, unit, level, depth
Task: Retrieve reading from wind_speed with reading above the AVG(value) of pressure readings sharing the same depth.
Script: | readings = fetch(
node=Node("wind_speed", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "value",
source=Probe("pressure", code="mbl"),
match="depth"),
),
output="reading",
) | {
"outer_table": "wind_speed",
"inner_table": "pressure",
"outer_alias": "thr",
"inner_alias": "mbl",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060493 | train |
v2 | Sensor network script:
Node: uv_index | code: stn | fields: unit, value, lon, type
Sensor: dew_point | fields: lat, lon, unit, depth
Task: Get lat from uv_index where a corresponding entry exists in dew_point with the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="stn"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "dew_point",
"outer_alias": "stn",
"inner_alias": "cnd",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060494 | train |
v1 | Sensor network script:
Node: rainfall | code: clr | fields: depth, level, lat, reading
Sensor: sunlight | fields: lon, level, type, ts
Task: Fetch depth from rainfall where ts exists in sunlight sensor data for the same depth.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=set_member(
field="ts",
source=Probe("sunlight", code="brt"),
match="depth",
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "sunlight",
"outer_alias": "clr",
"inner_alias": "brt",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060495 | train |
v1 | Sensor network script:
Node: cloud_cover | code: mst | fields: reading, unit, qc, level
Sensor: lightning | fields: value, qc, ts, type
Task: Get value from cloud_cover where type appears in lightning readings with matching type.
Script: | readings = fetch(
node=Node("cloud_cover", code="mst"),
filter=set_member(
field="type",
source=Probe("lightning", code="tnd"),
match="type",
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060496 | train |
v3 | Sensor network script:
Node: turbidity | code: clr | fields: depth, reading, level, unit
Sensor: rainfall | fields: lat, ts, level, reading
Task: Fetch depth from turbidity where reading is greater than the total of depth in rainfall for matching unit.
Script: | readings = fetch(
node=Node("turbidity", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "depth",
source=Probe("rainfall", code="rnfl"),
match="unit"),
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "rainfall",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060497 | train |
v3 | Sensor network script:
Node: lightning | code: prt | fields: depth, lon, ts, value
Sensor: snow_depth | fields: unit, lon, reading, type
Task: Retrieve depth from lightning with depth above the MIN(value) of snow_depth readings sharing the same ts.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("snow_depth", code="snw"),
match="ts"),
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "snow_depth",
"outer_alias": "prt",
"inner_alias": "snw",
"proj_col": "depth",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_060498 | train |
v3 | Sensor network script:
Node: snow_depth | code: ref | fields: qc, lat, lon, depth
Sensor: frost | fields: qc, reading, value, type
Task: Fetch reading from snow_depth where depth is greater than the average of reading in frost for matching ts.
Script: | readings = fetch(
node=Node("snow_depth", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("frost", code="frs"),
match="ts"),
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "frost",
"outer_alias": "ref",
"inner_alias": "frs",
"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_060499 | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.