variant stringclasses 3
values | prompt stringlengths 216 286 | query stringlengths 168 299 | metadata unknown | id stringlengths 28 28 | split stringclasses 1
value |
|---|---|---|---|---|---|
v1 | Sensor network script:
Node: soil_moisture | code: ref | fields: ts, unit, qc, lat
Sensor: sunlight | fields: reading, lon, ts, depth
Task: Fetch reading from soil_moisture where ts exists in sunlight sensor data for the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=set_member(
field="ts",
source=Probe("sunlight", code="brt"),
match="ts",
),
output="reading",
) | {
"outer_table": "soil_moisture",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064200 | train |
v2 | Sensor network script:
Node: soil_moisture | code: ref | fields: reading, lon, lat, ts
Sensor: wind_speed | fields: unit, lon, depth, ts
Task: Get lat from soil_moisture where a corresponding entry exists in wind_speed with the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="ts",
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064201 | train |
v3 | Sensor network script:
Node: rainfall | code: ref | fields: reading, depth, value, level
Sensor: evaporation | fields: type, lon, value, unit
Task: Fetch level from rainfall where value is greater than the minimum of value in evaporation for matching type.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "value",
source=Probe("evaporation", code="evp"),
match="type"),
),
output="level",
) | {
"outer_table": "rainfall",
"inner_table": "evaporation",
"outer_alias": "ref",
"inner_alias": "evp",
"proj_col": "level",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064202 | train |
v2 | Sensor network script:
Node: sunlight | code: ref | fields: ts, reading, qc, depth
Sensor: wind_speed | fields: level, ts, lon, lat
Task: Fetch lon from sunlight that have at least one corresponding wind_speed measurement for the same qc.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="qc",
),
output="lon",
) | {
"outer_table": "sunlight",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "lon",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064203 | train |
v1 | Sensor network script:
Node: frost | code: stn | fields: qc, value, depth, level
Sensor: soil_moisture | fields: reading, unit, lon, lat
Task: Get lat from frost where qc appears in soil_moisture readings with matching ts.
Script: | readings = fetch(
node=Node("frost", code="stn"),
filter=set_member(
field="qc",
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "soil_moisture",
"outer_alias": "stn",
"inner_alias": "grvl",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064204 | train |
v1 | Sensor network script:
Node: lightning | code: ref | fields: ts, depth, lat, type
Sensor: wind_speed | fields: type, lat, level, unit
Task: Retrieve reading from lightning whose ts is found in wind_speed records where type matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=set_member(
field="ts",
source=Probe("wind_speed", code="gst"),
match="type",
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064205 | train |
v3 | Sensor network script:
Node: uv_index | code: gst | fields: qc, lat, depth, level
Sensor: sunlight | fields: lat, reading, level, ts
Task: Fetch lat from uv_index where reading is greater than the total of reading in sunlight for matching unit.
Script: | readings = fetch(
node=Node("uv_index", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "reading",
source=Probe("sunlight", code="brt"),
match="unit"),
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064206 | train |
v1 | Sensor network script:
Node: turbidity | code: mst | fields: lon, qc, lat, reading
Sensor: uv_index | fields: reading, unit, lon, level
Task: Fetch lat from turbidity where ts exists in uv_index sensor data for the same type.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=set_member(
field="ts",
source=Probe("uv_index", code="flx"),
match="type",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "uv_index",
"outer_alias": "mst",
"inner_alias": "flx",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064207 | train |
v3 | Sensor network script:
Node: uv_index | code: hub | fields: type, level, ts, qc
Sensor: snow_depth | fields: qc, lat, value, lon
Task: Fetch value from uv_index where reading is greater than the average of value in snow_depth for matching type.
Script: | readings = fetch(
node=Node("uv_index", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "value",
source=Probe("snow_depth", code="snw"),
match="type"),
),
output="value",
) | {
"outer_table": "uv_index",
"inner_table": "snow_depth",
"outer_alias": "hub",
"inner_alias": "snw",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064208 | train |
v1 | Sensor network script:
Node: drought_index | code: gst | fields: qc, unit, value, lat
Sensor: temperature | fields: unit, qc, reading, lon
Task: Get depth from drought_index where depth appears in temperature readings with matching unit.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=set_member(
field="depth",
source=Probe("temperature", code="thr"),
match="unit",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064209 | train |
v1 | Sensor network script:
Node: turbidity | code: mst | fields: value, depth, reading, lon
Sensor: evaporation | fields: lat, type, reading, unit
Task: Fetch level from turbidity where depth exists in evaporation sensor data for the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=set_member(
field="depth",
source=Probe("evaporation", code="evp"),
match="depth",
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "evaporation",
"outer_alias": "mst",
"inner_alias": "evp",
"proj_col": "level",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064210 | train |
v3 | Sensor network script:
Node: pressure | code: thr | fields: level, lat, ts, depth
Sensor: soil_moisture | fields: value, reading, lon, type
Task: Retrieve lon from pressure with reading above the AVG(depth) of soil_moisture readings sharing the same unit.
Script: | readings = fetch(
node=Node("pressure", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("soil_moisture", code="grvl"),
match="unit"),
),
output="lon",
) | {
"outer_table": "pressure",
"inner_table": "soil_moisture",
"outer_alias": "thr",
"inner_alias": "grvl",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064211 | train |
v3 | Sensor network script:
Node: evaporation | code: stn | fields: lat, depth, level, ts
Sensor: snow_depth | fields: value, lon, unit, level
Task: Get reading from evaporation where value exceeds the minimum value from snow_depth for the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "value",
source=Probe("snow_depth", code="snw"),
match="depth"),
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "snow_depth",
"outer_alias": "stn",
"inner_alias": "snw",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064212 | train |
v1 | Sensor network script:
Node: snow_depth | code: prt | fields: qc, lat, ts, unit
Sensor: pressure | fields: value, reading, level, ts
Task: Retrieve level from snow_depth whose depth is found in pressure records where qc matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="prt"),
filter=set_member(
field="depth",
source=Probe("pressure", code="mbl"),
match="qc",
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "pressure",
"outer_alias": "prt",
"inner_alias": "mbl",
"proj_col": "level",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064213 | train |
v1 | Sensor network script:
Node: rainfall | code: clr | fields: level, ts, depth, qc
Sensor: turbidity | fields: unit, reading, ts, level
Task: Fetch reading from rainfall where qc exists in turbidity sensor data for the same qc.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=set_member(
field="qc",
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="reading",
) | {
"outer_table": "rainfall",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064214 | train |
v3 | Sensor network script:
Node: dew_point | code: ref | fields: value, depth, lat, unit
Sensor: wind_speed | fields: depth, reading, lon, unit
Task: Get depth from dew_point where value exceeds the total reading from wind_speed for the same unit.
Script: | readings = fetch(
node=Node("dew_point", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("wind_speed", code="gst"),
match="unit"),
),
output="depth",
) | {
"outer_table": "dew_point",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064215 | train |
v1 | Sensor network script:
Node: temperature | code: prt | fields: type, depth, reading, lat
Sensor: dew_point | fields: lon, unit, level, reading
Task: Get depth from temperature where qc appears in dew_point readings with matching type.
Script: | readings = fetch(
node=Node("temperature", code="prt"),
filter=set_member(
field="qc",
source=Probe("dew_point", code="cnd"),
match="type",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "dew_point",
"outer_alias": "prt",
"inner_alias": "cnd",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064216 | train |
v2 | Sensor network script:
Node: evaporation | code: stn | fields: lon, lat, type, reading
Sensor: sunlight | fields: ts, level, depth, unit
Task: Fetch lat from evaporation that have at least one corresponding sunlight measurement for the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="stn"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="qc",
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "sunlight",
"outer_alias": "stn",
"inner_alias": "brt",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064217 | train |
v1 | Sensor network script:
Node: frost | code: clr | fields: type, unit, ts, lat
Sensor: turbidity | fields: depth, lon, unit, ts
Task: Get lat from frost where unit appears in turbidity readings with matching depth.
Script: | readings = fetch(
node=Node("frost", code="clr"),
filter=set_member(
field="unit",
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064218 | train |
v3 | Sensor network script:
Node: soil_moisture | code: prt | fields: value, unit, lat, lon
Sensor: frost | fields: type, value, unit, lon
Task: Fetch reading from soil_moisture where depth is greater than the count of of value in frost for matching type.
Script: | readings = fetch(
node=Node("soil_moisture", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "value",
source=Probe("frost", code="frs"),
match="type"),
),
output="reading",
) | {
"outer_table": "soil_moisture",
"inner_table": "frost",
"outer_alias": "prt",
"inner_alias": "frs",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064219 | train |
v3 | Sensor network script:
Node: cloud_cover | code: clr | fields: ts, unit, level, type
Sensor: rainfall | fields: unit, lon, depth, type
Task: Retrieve depth from cloud_cover with value above the SUM(reading) of rainfall readings sharing the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("rainfall", code="rnfl"),
match="unit"),
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "rainfall",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064220 | train |
v3 | Sensor network script:
Node: visibility | code: prt | fields: value, ts, unit, qc
Sensor: temperature | fields: value, qc, type, depth
Task: Fetch lat from visibility where reading is greater than the average of value in temperature for matching type.
Script: | readings = fetch(
node=Node("visibility", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "value",
source=Probe("temperature", code="thr"),
match="type"),
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "temperature",
"outer_alias": "prt",
"inner_alias": "thr",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064221 | train |
v2 | Sensor network script:
Node: dew_point | code: mst | fields: level, value, lon, type
Sensor: air_quality | fields: depth, lat, qc, level
Task: Fetch reading from dew_point that have at least one corresponding air_quality measurement for the same qc.
Script: | readings = fetch(
node=Node("dew_point", code="mst"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="qc",
),
output="reading",
) | {
"outer_table": "dew_point",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064222 | train |
v1 | Sensor network script:
Node: lightning | code: thr | fields: ts, depth, value, lat
Sensor: cloud_cover | fields: lon, type, qc, value
Task: Get lon from lightning where ts appears in cloud_cover readings with matching ts.
Script: | readings = fetch(
node=Node("lightning", code="thr"),
filter=set_member(
field="ts",
source=Probe("cloud_cover", code="nbl"),
match="ts",
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "cloud_cover",
"outer_alias": "thr",
"inner_alias": "nbl",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064223 | train |
v1 | Sensor network script:
Node: lightning | code: mst | fields: value, ts, unit, reading
Sensor: evaporation | fields: lat, reading, lon, value
Task: Retrieve depth from lightning whose type is found in evaporation records where type matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="mst"),
filter=set_member(
field="type",
source=Probe("evaporation", code="evp"),
match="type",
),
output="depth",
) | {
"outer_table": "lightning",
"inner_table": "evaporation",
"outer_alias": "mst",
"inner_alias": "evp",
"proj_col": "depth",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064224 | train |
v2 | Sensor network script:
Node: sunlight | code: mst | fields: lat, qc, value, reading
Sensor: pressure | fields: qc, reading, type, value
Task: Fetch lat from sunlight that have at least one corresponding pressure measurement for the same unit.
Script: | readings = fetch(
node=Node("sunlight", code="mst"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="unit",
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "pressure",
"outer_alias": "mst",
"inner_alias": "mbl",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064225 | train |
v1 | Sensor network script:
Node: frost | code: stn | fields: lat, qc, ts, reading
Sensor: dew_point | fields: reading, value, lat, qc
Task: Retrieve level from frost whose type is found in dew_point records where unit matches the outer node.
Script: | readings = fetch(
node=Node("frost", code="stn"),
filter=set_member(
field="type",
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "dew_point",
"outer_alias": "stn",
"inner_alias": "cnd",
"proj_col": "level",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064226 | train |
v1 | Sensor network script:
Node: snow_depth | code: thr | fields: value, qc, unit, level
Sensor: cloud_cover | fields: lat, type, unit, lon
Task: Fetch level from snow_depth where ts exists in cloud_cover sensor data for the same type.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=set_member(
field="ts",
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "cloud_cover",
"outer_alias": "thr",
"inner_alias": "nbl",
"proj_col": "level",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064227 | train |
v2 | Sensor network script:
Node: evaporation | code: clr | fields: qc, lat, type, lon
Sensor: wind_speed | fields: ts, unit, lon, level
Task: Retrieve value from evaporation that have at least one matching reading in wind_speed sharing the same type.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="type",
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "wind_speed",
"outer_alias": "clr",
"inner_alias": "gst",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064228 | train |
v2 | Sensor network script:
Node: wind_speed | code: mst | fields: unit, qc, reading, level
Sensor: air_quality | fields: value, lon, reading, qc
Task: Fetch value from wind_speed that have at least one corresponding air_quality measurement for the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="mst"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="type",
),
output="value",
) | {
"outer_table": "wind_speed",
"inner_table": "air_quality",
"outer_alias": "mst",
"inner_alias": "prt",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064229 | train |
v3 | Sensor network script:
Node: sunlight | code: thr | fields: lon, qc, level, depth
Sensor: turbidity | fields: lat, reading, qc, ts
Task: Fetch reading from sunlight where value is greater than the total of value in turbidity for matching type.
Script: | readings = fetch(
node=Node("sunlight", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "value",
source=Probe("turbidity", code="ftu"),
match="type"),
),
output="reading",
) | {
"outer_table": "sunlight",
"inner_table": "turbidity",
"outer_alias": "thr",
"inner_alias": "ftu",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064230 | train |
v3 | Sensor network script:
Node: temperature | code: ref | fields: type, depth, ts, reading
Sensor: cloud_cover | fields: ts, depth, type, level
Task: Get level from temperature where depth exceeds the average depth from cloud_cover for the same ts.
Script: | readings = fetch(
node=Node("temperature", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "depth",
source=Probe("cloud_cover", code="nbl"),
match="ts"),
),
output="level",
) | {
"outer_table": "temperature",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064231 | train |
v1 | Sensor network script:
Node: sunlight | code: stn | fields: value, lat, qc, reading
Sensor: soil_moisture | fields: level, lon, qc, unit
Task: Fetch lat from sunlight where unit exists in soil_moisture sensor data for the same depth.
Script: | readings = fetch(
node=Node("sunlight", code="stn"),
filter=set_member(
field="unit",
source=Probe("soil_moisture", code="grvl"),
match="depth",
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "soil_moisture",
"outer_alias": "stn",
"inner_alias": "grvl",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064232 | train |
v2 | Sensor network script:
Node: frost | code: hub | fields: qc, lat, value, depth
Sensor: air_quality | fields: value, level, lon, unit
Task: Fetch depth from frost that have at least one corresponding air_quality measurement for the same qc.
Script: | readings = fetch(
node=Node("frost", code="hub"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="qc",
),
output="depth",
) | {
"outer_table": "frost",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064233 | train |
v2 | Sensor network script:
Node: soil_moisture | code: hub | fields: unit, reading, lon, depth
Sensor: air_quality | fields: depth, type, lon, qc
Task: Fetch depth from soil_moisture that have at least one corresponding air_quality measurement for the same qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="hub"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="qc",
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064234 | train |
v1 | Sensor network script:
Node: turbidity | code: ref | fields: level, lon, type, lat
Sensor: temperature | fields: qc, reading, lon, depth
Task: Fetch lat from turbidity where depth exists in temperature sensor data for the same qc.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=set_member(
field="depth",
source=Probe("temperature", code="thr"),
match="qc",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "thr",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064235 | train |
v3 | Sensor network script:
Node: dew_point | code: prt | fields: unit, lat, ts, lon
Sensor: sunlight | fields: qc, type, value, level
Task: Get lon from dew_point where reading exceeds the total value from sunlight for the same depth.
Script: | readings = fetch(
node=Node("dew_point", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "value",
source=Probe("sunlight", code="brt"),
match="depth"),
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "sunlight",
"outer_alias": "prt",
"inner_alias": "brt",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064236 | train |
v2 | Sensor network script:
Node: dew_point | code: prt | fields: qc, lon, unit, type
Sensor: lightning | fields: type, lat, lon, unit
Task: Get reading from dew_point where a corresponding entry exists in lightning with the same qc.
Script: | readings = fetch(
node=Node("dew_point", code="prt"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="qc",
),
output="reading",
) | {
"outer_table": "dew_point",
"inner_table": "lightning",
"outer_alias": "prt",
"inner_alias": "tnd",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064237 | train |
v3 | Sensor network script:
Node: soil_moisture | code: ref | fields: value, ts, lat, reading
Sensor: cloud_cover | fields: depth, value, lon, reading
Task: Fetch value from soil_moisture where reading is greater than the minimum of reading in cloud_cover for matching qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "reading",
source=Probe("cloud_cover", code="nbl"),
match="qc"),
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064238 | train |
v1 | Sensor network script:
Node: cloud_cover | code: stn | fields: level, lat, type, reading
Sensor: visibility | fields: unit, value, qc, ts
Task: Retrieve lon 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="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "visibility",
"outer_alias": "stn",
"inner_alias": "clr",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064239 | train |
v1 | Sensor network script:
Node: visibility | code: thr | fields: unit, depth, lat, value
Sensor: air_quality | fields: type, lat, ts, qc
Task: Get depth from visibility where type appears in air_quality readings with matching depth.
Script: | readings = fetch(
node=Node("visibility", code="thr"),
filter=set_member(
field="type",
source=Probe("air_quality", code="prt"),
match="depth",
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "air_quality",
"outer_alias": "thr",
"inner_alias": "prt",
"proj_col": "depth",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064240 | train |
v3 | Sensor network script:
Node: frost | code: thr | fields: depth, unit, qc, lat
Sensor: dew_point | fields: depth, lat, lon, unit
Task: Fetch lat from frost where depth is greater than the total of reading in dew_point for matching unit.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "reading",
source=Probe("dew_point", code="cnd"),
match="unit"),
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064241 | train |
v1 | Sensor network script:
Node: frost | code: clr | fields: unit, value, level, lat
Sensor: uv_index | fields: depth, value, type, reading
Task: Fetch reading from frost where unit exists in uv_index sensor data for the same unit.
Script: | readings = fetch(
node=Node("frost", code="clr"),
filter=set_member(
field="unit",
source=Probe("uv_index", code="flx"),
match="unit",
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "uv_index",
"outer_alias": "clr",
"inner_alias": "flx",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064242 | train |
v1 | Sensor network script:
Node: air_quality | code: hub | fields: qc, lat, type, unit
Sensor: dew_point | fields: level, depth, ts, value
Task: Get reading from air_quality where unit appears in dew_point readings with matching unit.
Script: | readings = fetch(
node=Node("air_quality", code="hub"),
filter=set_member(
field="unit",
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="reading",
) | {
"outer_table": "air_quality",
"inner_table": "dew_point",
"outer_alias": "hub",
"inner_alias": "cnd",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064243 | train |
v3 | Sensor network script:
Node: lightning | code: stn | fields: depth, ts, lat, value
Sensor: turbidity | fields: reading, lon, value, unit
Task: Retrieve value from lightning with reading above the AVG(value) of turbidity readings sharing the same qc.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "value",
source=Probe("turbidity", code="ftu"),
match="qc"),
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "turbidity",
"outer_alias": "stn",
"inner_alias": "ftu",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064244 | train |
v2 | Sensor network script:
Node: snow_depth | code: thr | fields: lat, qc, lon, value
Sensor: wind_speed | fields: qc, value, lat, level
Task: Get depth from snow_depth where a corresponding entry exists in wind_speed with the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="qc",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "wind_speed",
"outer_alias": "thr",
"inner_alias": "gst",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064245 | train |
v1 | Sensor network script:
Node: wind_speed | code: ref | fields: reading, type, qc, value
Sensor: soil_moisture | fields: qc, lat, lon, level
Task: Fetch value from wind_speed where unit exists in soil_moisture sensor data for the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="ref"),
filter=set_member(
field="unit",
source=Probe("soil_moisture", code="grvl"),
match="type",
),
output="value",
) | {
"outer_table": "wind_speed",
"inner_table": "soil_moisture",
"outer_alias": "ref",
"inner_alias": "grvl",
"proj_col": "value",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064246 | train |
v3 | Sensor network script:
Node: uv_index | code: clr | fields: lat, type, depth, reading
Sensor: frost | fields: unit, level, depth, ts
Task: Get lon from uv_index where depth exceeds the average reading from frost for the same ts.
Script: | readings = fetch(
node=Node("uv_index", code="clr"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("frost", code="frs"),
match="ts"),
),
output="lon",
) | {
"outer_table": "uv_index",
"inner_table": "frost",
"outer_alias": "clr",
"inner_alias": "frs",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064247 | train |
v1 | Sensor network script:
Node: frost | code: prt | fields: lat, unit, qc, type
Sensor: drought_index | fields: unit, type, value, reading
Task: Get level from frost where qc appears in drought_index readings with matching qc.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=set_member(
field="qc",
source=Probe("drought_index", code="drt"),
match="qc",
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "level",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064248 | train |
v3 | Sensor network script:
Node: humidity | code: mst | fields: unit, qc, ts, depth
Sensor: wind_speed | fields: lon, ts, qc, type
Task: Fetch lat from humidity where value is greater than the total of depth in wind_speed for matching unit.
Script: | readings = fetch(
node=Node("humidity", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "depth",
source=Probe("wind_speed", code="gst"),
match="unit"),
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "wind_speed",
"outer_alias": "mst",
"inner_alias": "gst",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064249 | train |
v2 | Sensor network script:
Node: lightning | code: prt | fields: reading, ts, depth, lon
Sensor: pressure | fields: lat, lon, type, level
Task: Fetch value from lightning that have at least one corresponding pressure measurement for the same qc.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="qc",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "pressure",
"outer_alias": "prt",
"inner_alias": "mbl",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064250 | train |
v3 | Sensor network script:
Node: drought_index | code: hub | fields: level, value, unit, ts
Sensor: cloud_cover | fields: ts, value, qc, reading
Task: Get lon from drought_index where reading exceeds the total value from cloud_cover for the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "value",
source=Probe("cloud_cover", code="nbl"),
match="ts"),
),
output="lon",
) | {
"outer_table": "drought_index",
"inner_table": "cloud_cover",
"outer_alias": "hub",
"inner_alias": "nbl",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064251 | train |
v2 | Sensor network script:
Node: rainfall | code: mst | fields: depth, value, unit, lat
Sensor: temperature | fields: ts, unit, lat, depth
Task: Retrieve value from rainfall that have at least one matching reading in temperature sharing the same qc.
Script: | readings = fetch(
node=Node("rainfall", code="mst"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="qc",
),
output="value",
) | {
"outer_table": "rainfall",
"inner_table": "temperature",
"outer_alias": "mst",
"inner_alias": "thr",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064252 | train |
v2 | Sensor network script:
Node: air_quality | code: hub | fields: depth, type, level, lon
Sensor: frost | fields: type, lon, depth, reading
Task: Get level from air_quality where a corresponding entry exists in frost with the same type.
Script: | readings = fetch(
node=Node("air_quality", code="hub"),
filter=has_match(
source=Probe("frost", code="frs"),
match="type",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064253 | train |
v2 | Sensor network script:
Node: evaporation | code: ref | fields: lat, unit, lon, depth
Sensor: soil_moisture | fields: lat, level, qc, type
Task: Get level from evaporation where a corresponding entry exists in soil_moisture with the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="depth",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "soil_moisture",
"outer_alias": "ref",
"inner_alias": "grvl",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064254 | train |
v2 | Sensor network script:
Node: humidity | code: ref | fields: lon, qc, lat, depth
Sensor: lightning | fields: depth, value, unit, lat
Task: Fetch depth from humidity that have at least one corresponding lightning measurement for the same unit.
Script: | readings = fetch(
node=Node("humidity", code="ref"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="unit",
),
output="depth",
) | {
"outer_table": "humidity",
"inner_table": "lightning",
"outer_alias": "ref",
"inner_alias": "tnd",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064255 | train |
v1 | Sensor network script:
Node: air_quality | code: mst | fields: value, reading, lat, ts
Sensor: uv_index | fields: reading, qc, value, level
Task: Get lat from air_quality where unit appears in uv_index readings with matching type.
Script: | readings = fetch(
node=Node("air_quality", code="mst"),
filter=set_member(
field="unit",
source=Probe("uv_index", code="flx"),
match="type",
),
output="lat",
) | {
"outer_table": "air_quality",
"inner_table": "uv_index",
"outer_alias": "mst",
"inner_alias": "flx",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064256 | train |
v1 | Sensor network script:
Node: frost | code: stn | fields: lat, type, ts, qc
Sensor: wind_speed | fields: ts, qc, unit, type
Task: Retrieve lon from frost whose qc is found in wind_speed records where type matches the outer node.
Script: | readings = fetch(
node=Node("frost", code="stn"),
filter=set_member(
field="qc",
source=Probe("wind_speed", code="gst"),
match="type",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064257 | train |
v2 | Sensor network script:
Node: drought_index | code: gst | fields: qc, value, reading, unit
Sensor: lightning | fields: qc, unit, ts, level
Task: Retrieve depth from drought_index that have at least one matching reading in lightning sharing the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="qc",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "lightning",
"outer_alias": "gst",
"inner_alias": "tnd",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064258 | train |
v1 | Sensor network script:
Node: dew_point | code: prt | fields: reading, qc, lat, value
Sensor: sunlight | fields: lat, depth, lon, reading
Task: Get value from dew_point where depth appears in sunlight readings with matching ts.
Script: | readings = fetch(
node=Node("dew_point", code="prt"),
filter=set_member(
field="depth",
source=Probe("sunlight", code="brt"),
match="ts",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "sunlight",
"outer_alias": "prt",
"inner_alias": "brt",
"proj_col": "value",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064259 | train |
v3 | Sensor network script:
Node: uv_index | code: ref | fields: qc, level, lon, value
Sensor: rainfall | fields: type, level, ts, value
Task: Get level from uv_index where value exceeds the maximum value from rainfall for the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "value",
source=Probe("rainfall", code="rnfl"),
match="unit"),
),
output="level",
) | {
"outer_table": "uv_index",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "rnfl",
"proj_col": "level",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064260 | train |
v3 | Sensor network script:
Node: visibility | code: hub | fields: unit, type, value, lat
Sensor: lightning | fields: lon, depth, qc, unit
Task: Fetch lon from visibility where depth is greater than the average of value in lightning for matching qc.
Script: | readings = fetch(
node=Node("visibility", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("lightning", code="tnd"),
match="qc"),
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "tnd",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064261 | train |
v2 | Sensor network script:
Node: frost | code: mst | fields: lat, level, reading, qc
Sensor: soil_moisture | fields: value, lon, lat, qc
Task: Retrieve value from frost that have at least one matching reading in soil_moisture sharing the same qc.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064262 | train |
v3 | Sensor network script:
Node: cloud_cover | code: prt | fields: lat, depth, value, unit
Sensor: wind_speed | fields: ts, reading, lat, value
Task: Get lat from cloud_cover where value exceeds the total value from wind_speed for the same ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "value",
source=Probe("wind_speed", code="gst"),
match="ts"),
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064263 | train |
v3 | Sensor network script:
Node: lightning | code: stn | fields: depth, lon, type, lat
Sensor: cloud_cover | fields: depth, unit, lat, value
Task: Fetch value from lightning where value is greater than the total of reading in cloud_cover for matching qc.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("cloud_cover", code="nbl"),
match="qc"),
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "cloud_cover",
"outer_alias": "stn",
"inner_alias": "nbl",
"proj_col": "value",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064264 | train |
v2 | Sensor network script:
Node: lightning | code: clr | fields: level, value, type, depth
Sensor: frost | fields: reading, ts, level, unit
Task: Retrieve reading from lightning that have at least one matching reading in frost sharing the same depth.
Script: | readings = fetch(
node=Node("lightning", code="clr"),
filter=has_match(
source=Probe("frost", code="frs"),
match="depth",
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "frost",
"outer_alias": "clr",
"inner_alias": "frs",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064265 | train |
v1 | Sensor network script:
Node: snow_depth | code: prt | fields: unit, ts, level, qc
Sensor: temperature | fields: lon, unit, value, reading
Task: Fetch lon from snow_depth where qc exists in temperature sensor data for the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="prt"),
filter=set_member(
field="qc",
source=Probe("temperature", code="thr"),
match="qc",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "temperature",
"outer_alias": "prt",
"inner_alias": "thr",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064266 | train |
v1 | Sensor network script:
Node: pressure | code: clr | fields: depth, lat, unit, lon
Sensor: uv_index | fields: depth, value, reading, lat
Task: Get depth from pressure where unit appears in uv_index readings with matching unit.
Script: | readings = fetch(
node=Node("pressure", code="clr"),
filter=set_member(
field="unit",
source=Probe("uv_index", code="flx"),
match="unit",
),
output="depth",
) | {
"outer_table": "pressure",
"inner_table": "uv_index",
"outer_alias": "clr",
"inner_alias": "flx",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064267 | train |
v2 | Sensor network script:
Node: drought_index | code: stn | fields: lat, lon, level, qc
Sensor: air_quality | fields: qc, depth, value, ts
Task: Get lat from drought_index where a corresponding entry exists in air_quality with the same type.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="type",
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "air_quality",
"outer_alias": "stn",
"inner_alias": "prt",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064268 | train |
v2 | Sensor network script:
Node: rainfall | code: thr | fields: lon, depth, unit, qc
Sensor: frost | fields: value, lon, ts, depth
Task: Get reading from rainfall where a corresponding entry exists in frost with the same unit.
Script: | readings = fetch(
node=Node("rainfall", code="thr"),
filter=has_match(
source=Probe("frost", code="frs"),
match="unit",
),
output="reading",
) | {
"outer_table": "rainfall",
"inner_table": "frost",
"outer_alias": "thr",
"inner_alias": "frs",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064269 | train |
v1 | Sensor network script:
Node: lightning | code: clr | fields: lon, reading, unit, depth
Sensor: dew_point | fields: value, unit, qc, type
Task: Retrieve level from lightning whose depth is found in dew_point records where unit matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="clr"),
filter=set_member(
field="depth",
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "dew_point",
"outer_alias": "clr",
"inner_alias": "cnd",
"proj_col": "level",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064270 | train |
v2 | Sensor network script:
Node: wind_speed | code: clr | fields: qc, ts, unit, lon
Sensor: cloud_cover | fields: value, unit, level, type
Task: Retrieve lat from wind_speed that have at least one matching reading in cloud_cover sharing the same qc.
Script: | readings = fetch(
node=Node("wind_speed", code="clr"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "cloud_cover",
"outer_alias": "clr",
"inner_alias": "nbl",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064271 | train |
v3 | Sensor network script:
Node: uv_index | code: thr | fields: lat, reading, type, level
Sensor: humidity | fields: reading, qc, lat, ts
Task: Fetch reading from uv_index where depth is greater than the minimum of value in humidity for matching type.
Script: | readings = fetch(
node=Node("uv_index", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("humidity", code="hgr"),
match="type"),
),
output="reading",
) | {
"outer_table": "uv_index",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064272 | train |
v2 | Sensor network script:
Node: snow_depth | code: hub | fields: lon, unit, type, lat
Sensor: visibility | fields: unit, lat, ts, depth
Task: Get lat from snow_depth where a corresponding entry exists in visibility with the same unit.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="unit",
),
output="lat",
) | {
"outer_table": "snow_depth",
"inner_table": "visibility",
"outer_alias": "hub",
"inner_alias": "clr",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064273 | train |
v3 | Sensor network script:
Node: frost | code: thr | fields: reading, ts, lon, level
Sensor: dew_point | fields: reading, value, lat, type
Task: Fetch reading from frost where value is greater than the count of of value in dew_point for matching unit.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "value",
source=Probe("dew_point", code="cnd"),
match="unit"),
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064274 | train |
v3 | Sensor network script:
Node: turbidity | code: stn | fields: unit, lon, qc, lat
Sensor: uv_index | fields: qc, value, depth, ts
Task: Get value from turbidity where depth exceeds the total depth from uv_index for the same unit.
Script: | readings = fetch(
node=Node("turbidity", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "depth",
source=Probe("uv_index", code="flx"),
match="unit"),
),
output="value",
) | {
"outer_table": "turbidity",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064275 | train |
v1 | Sensor network script:
Node: frost | code: thr | fields: qc, depth, ts, type
Sensor: visibility | fields: unit, depth, value, lon
Task: Retrieve reading from frost whose depth is found in visibility records where ts matches the outer node.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=set_member(
field="depth",
source=Probe("visibility", code="clr"),
match="ts",
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "visibility",
"outer_alias": "thr",
"inner_alias": "clr",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064276 | train |
v2 | Sensor network script:
Node: frost | code: ref | fields: lat, ts, lon, level
Sensor: temperature | fields: depth, ts, qc, reading
Task: Fetch reading from frost that have at least one corresponding temperature measurement for the same ts.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="ts",
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "thr",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064277 | train |
v2 | Sensor network script:
Node: visibility | code: gst | fields: lon, depth, reading, type
Sensor: humidity | fields: value, depth, level, ts
Task: Fetch depth from visibility that have at least one corresponding humidity measurement for the same type.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="type",
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "humidity",
"outer_alias": "gst",
"inner_alias": "hgr",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064278 | train |
v2 | Sensor network script:
Node: turbidity | code: gst | fields: reading, lat, lon, value
Sensor: air_quality | fields: value, depth, unit, qc
Task: Retrieve lat from turbidity that have at least one matching reading in air_quality sharing the same unit.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="unit",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "air_quality",
"outer_alias": "gst",
"inner_alias": "prt",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064279 | train |
v2 | Sensor network script:
Node: lightning | code: ref | fields: reading, depth, value, type
Sensor: rainfall | fields: reading, depth, unit, value
Task: Get reading from lightning where a corresponding entry exists in rainfall with the same depth.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "rnfl",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064280 | train |
v3 | Sensor network script:
Node: drought_index | code: gst | fields: reading, lat, unit, value
Sensor: humidity | fields: ts, type, lat, unit
Task: Get lat from drought_index where depth exceeds the average reading from humidity for the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("humidity", code="hgr"),
match="ts"),
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "humidity",
"outer_alias": "gst",
"inner_alias": "hgr",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064281 | train |
v1 | Sensor network script:
Node: snow_depth | code: thr | fields: qc, depth, reading, lat
Sensor: lightning | fields: lon, value, ts, level
Task: Get lat from snow_depth where qc appears in lightning readings with matching depth.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=set_member(
field="qc",
source=Probe("lightning", code="tnd"),
match="depth",
),
output="lat",
) | {
"outer_table": "snow_depth",
"inner_table": "lightning",
"outer_alias": "thr",
"inner_alias": "tnd",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064282 | train |
v1 | Sensor network script:
Node: sunlight | code: prt | fields: qc, unit, value, type
Sensor: drought_index | fields: ts, qc, lat, lon
Task: Fetch reading from sunlight where qc exists in drought_index sensor data for the same type.
Script: | readings = fetch(
node=Node("sunlight", code="prt"),
filter=set_member(
field="qc",
source=Probe("drought_index", code="drt"),
match="type",
),
output="reading",
) | {
"outer_table": "sunlight",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064283 | train |
v1 | Sensor network script:
Node: sunlight | code: mst | fields: type, depth, qc, level
Sensor: evaporation | fields: qc, lat, unit, ts
Task: Get lat from sunlight where unit appears in evaporation readings with matching depth.
Script: | readings = fetch(
node=Node("sunlight", code="mst"),
filter=set_member(
field="unit",
source=Probe("evaporation", code="evp"),
match="depth",
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "evaporation",
"outer_alias": "mst",
"inner_alias": "evp",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064284 | train |
v3 | Sensor network script:
Node: soil_moisture | code: ref | fields: lon, unit, qc, ts
Sensor: turbidity | fields: lon, qc, reading, ts
Task: Retrieve lat from soil_moisture with depth above the AVG(depth) of turbidity readings sharing the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "depth",
source=Probe("turbidity", code="ftu"),
match="ts"),
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064285 | train |
v2 | Sensor network script:
Node: humidity | code: clr | fields: unit, lon, depth, lat
Sensor: air_quality | fields: depth, type, reading, value
Task: Retrieve level from humidity that have at least one matching reading in air_quality sharing the same unit.
Script: | readings = fetch(
node=Node("humidity", code="clr"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="unit",
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "air_quality",
"outer_alias": "clr",
"inner_alias": "prt",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064286 | train |
v1 | Sensor network script:
Node: evaporation | code: stn | fields: reading, lat, depth, value
Sensor: wind_speed | fields: value, reading, qc, depth
Task: Fetch reading from evaporation where ts exists in wind_speed sensor data for the same type.
Script: | readings = fetch(
node=Node("evaporation", code="stn"),
filter=set_member(
field="ts",
source=Probe("wind_speed", code="gst"),
match="type",
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064287 | train |
v2 | Sensor network script:
Node: cloud_cover | code: clr | fields: lon, type, lat, value
Sensor: air_quality | fields: value, lat, level, depth
Task: Get lat from cloud_cover where a corresponding entry exists in air_quality with the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="qc",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "air_quality",
"outer_alias": "clr",
"inner_alias": "prt",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_064288 | train |
v1 | Sensor network script:
Node: sunlight | code: clr | fields: lat, reading, unit, level
Sensor: frost | fields: level, reading, lon, depth
Task: Retrieve lat from sunlight whose depth is found in frost records where qc matches the outer node.
Script: | readings = fetch(
node=Node("sunlight", code="clr"),
filter=set_member(
field="depth",
source=Probe("frost", code="frs"),
match="qc",
),
output="lat",
) | {
"outer_table": "sunlight",
"inner_table": "frost",
"outer_alias": "clr",
"inner_alias": "frs",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064289 | train |
v3 | Sensor network script:
Node: cloud_cover | code: ref | fields: reading, lat, value, level
Sensor: sunlight | fields: reading, type, ts, lon
Task: Fetch lon from cloud_cover where value is greater than the total of reading in sunlight for matching depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("sunlight", code="brt"),
match="depth"),
),
output="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064290 | train |
v1 | Sensor network script:
Node: air_quality | code: hub | fields: type, ts, lon, lat
Sensor: frost | fields: value, level, qc, depth
Task: Get lon from air_quality where depth appears in frost readings with matching unit.
Script: | readings = fetch(
node=Node("air_quality", code="hub"),
filter=set_member(
field="depth",
source=Probe("frost", code="frs"),
match="unit",
),
output="lon",
) | {
"outer_table": "air_quality",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064291 | train |
v2 | Sensor network script:
Node: visibility | code: mst | fields: value, depth, level, lat
Sensor: rainfall | fields: value, lon, unit, depth
Task: Fetch level from visibility that have at least one corresponding rainfall measurement for the same ts.
Script: | readings = fetch(
node=Node("visibility", code="mst"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="ts",
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "rainfall",
"outer_alias": "mst",
"inner_alias": "rnfl",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064292 | train |
v1 | Sensor network script:
Node: visibility | code: mst | fields: reading, value, unit, lon
Sensor: soil_moisture | fields: value, reading, unit, lat
Task: Fetch reading from visibility where depth exists in soil_moisture sensor data for the same qc.
Script: | readings = fetch(
node=Node("visibility", code="mst"),
filter=set_member(
field="depth",
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="reading",
) | {
"outer_table": "visibility",
"inner_table": "soil_moisture",
"outer_alias": "mst",
"inner_alias": "grvl",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064293 | train |
v2 | Sensor network script:
Node: wind_speed | code: hub | fields: ts, unit, level, reading
Sensor: sunlight | fields: level, value, qc, type
Task: Retrieve depth from wind_speed that have at least one matching reading in sunlight sharing the same unit.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="unit",
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "sunlight",
"outer_alias": "hub",
"inner_alias": "brt",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064294 | train |
v1 | Sensor network script:
Node: cloud_cover | code: ref | fields: unit, type, value, lat
Sensor: dew_point | fields: unit, depth, type, ts
Task: Retrieve depth from cloud_cover whose qc is found in dew_point records where qc matches the outer node.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=set_member(
field="qc",
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064295 | train |
v3 | Sensor network script:
Node: humidity | code: hub | fields: ts, lon, unit, reading
Sensor: sunlight | fields: depth, ts, lat, lon
Task: Retrieve depth from humidity with value above the AVG(depth) of sunlight readings sharing the same qc.
Script: | readings = fetch(
node=Node("humidity", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("sunlight", code="brt"),
match="qc"),
),
output="depth",
) | {
"outer_table": "humidity",
"inner_table": "sunlight",
"outer_alias": "hub",
"inner_alias": "brt",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064296 | train |
v3 | Sensor network script:
Node: cloud_cover | code: mst | fields: reading, value, lat, depth
Sensor: sunlight | fields: reading, unit, type, level
Task: Fetch lat from cloud_cover where reading is greater than the total of depth in sunlight for matching qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "depth",
source=Probe("sunlight", code="brt"),
match="qc"),
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "sunlight",
"outer_alias": "mst",
"inner_alias": "brt",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064297 | train |
v1 | Sensor network script:
Node: wind_speed | code: prt | fields: reading, value, level, qc
Sensor: frost | fields: lat, reading, lon, qc
Task: Get lon from wind_speed where unit appears in frost readings with matching type.
Script: | readings = fetch(
node=Node("wind_speed", code="prt"),
filter=set_member(
field="unit",
source=Probe("frost", code="frs"),
match="type",
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "frost",
"outer_alias": "prt",
"inner_alias": "frs",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064298 | train |
v2 | Sensor network script:
Node: drought_index | code: clr | fields: qc, lon, lat, ts
Sensor: evaporation | fields: ts, lat, depth, qc
Task: Fetch lon from drought_index that have at least one corresponding evaporation measurement for the same unit.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="unit",
),
output="lon",
) | {
"outer_table": "drought_index",
"inner_table": "evaporation",
"outer_alias": "clr",
"inner_alias": "evp",
"proj_col": "lon",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_064299 | train |
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