variant stringclasses 3
values | prompt stringlengths 216 286 | query stringlengths 168 299 | metadata unknown | id stringlengths 28 28 | split stringclasses 1
value |
|---|---|---|---|---|---|
v3 | Sensor network script:
Node: temperature | code: prt | fields: lon, qc, type, depth
Sensor: dew_point | fields: type, value, level, reading
Task: Fetch lat from temperature where reading is greater than the minimum of depth in dew_point for matching qc.
Script: | readings = fetch(
node=Node("temperature", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "depth",
source=Probe("dew_point", code="cnd"),
match="qc"),
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "dew_point",
"outer_alias": "prt",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069000 | train |
v3 | Sensor network script:
Node: wind_speed | code: stn | fields: reading, qc, lon, value
Sensor: sunlight | fields: depth, lon, unit, level
Task: Retrieve reading from wind_speed with depth above the MIN(depth) of sunlight readings sharing the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "depth",
source=Probe("sunlight", code="brt"),
match="type"),
),
output="reading",
) | {
"outer_table": "wind_speed",
"inner_table": "sunlight",
"outer_alias": "stn",
"inner_alias": "brt",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069001 | train |
v1 | Sensor network script:
Node: cloud_cover | code: clr | fields: ts, depth, lat, unit
Sensor: air_quality | fields: ts, lat, depth, unit
Task: Fetch lon from cloud_cover where ts exists in air_quality sensor data for the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=set_member(
field="ts",
source=Probe("air_quality", code="prt"),
match="qc",
),
output="lon",
) | {
"outer_table": "cloud_cover",
"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_069002 | train |
v1 | Sensor network script:
Node: wind_speed | code: hub | fields: unit, type, lon, ts
Sensor: lightning | fields: level, type, depth, lat
Task: Get lon from wind_speed where qc appears in lightning readings with matching qc.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=set_member(
field="qc",
source=Probe("lightning", code="tnd"),
match="qc",
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "tnd",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069003 | train |
v3 | Sensor network script:
Node: turbidity | code: gst | fields: lat, unit, lon, qc
Sensor: dew_point | fields: value, unit, depth, lon
Task: Get lon from turbidity where value exceeds the total depth from dew_point for the same qc.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "depth",
source=Probe("dew_point", code="cnd"),
match="qc"),
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "dew_point",
"outer_alias": "gst",
"inner_alias": "cnd",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069004 | train |
v2 | Sensor network script:
Node: cloud_cover | code: prt | fields: level, value, unit, ts
Sensor: turbidity | fields: ts, unit, value, type
Task: Retrieve depth from cloud_cover that have at least one matching reading in turbidity sharing the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="prt"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069005 | train |
v1 | Sensor network script:
Node: air_quality | code: prt | fields: lat, value, depth, reading
Sensor: soil_moisture | fields: qc, lon, level, unit
Task: Get level from air_quality where qc appears in soil_moisture readings with matching ts.
Script: | readings = fetch(
node=Node("air_quality", code="prt"),
filter=set_member(
field="qc",
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "soil_moisture",
"outer_alias": "prt",
"inner_alias": "grvl",
"proj_col": "level",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069006 | train |
v1 | Sensor network script:
Node: uv_index | code: hub | fields: lat, type, unit, ts
Sensor: evaporation | fields: type, ts, reading, value
Task: Fetch reading from uv_index where qc exists in evaporation sensor data for the same ts.
Script: | readings = fetch(
node=Node("uv_index", code="hub"),
filter=set_member(
field="qc",
source=Probe("evaporation", code="evp"),
match="ts",
),
output="reading",
) | {
"outer_table": "uv_index",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069007 | train |
v2 | Sensor network script:
Node: wind_speed | code: mst | fields: reading, qc, depth, type
Sensor: lightning | fields: depth, lon, reading, level
Task: Fetch lat from wind_speed that have at least one corresponding lightning measurement for the same qc.
Script: | readings = fetch(
node=Node("wind_speed", code="mst"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="qc",
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069008 | train |
v3 | Sensor network script:
Node: lightning | code: hub | fields: qc, lat, reading, value
Sensor: air_quality | fields: lat, qc, type, level
Task: Fetch lon from lightning where depth is greater than the minimum of depth in air_quality for matching ts.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "depth",
source=Probe("air_quality", code="prt"),
match="ts"),
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069009 | train |
v2 | Sensor network script:
Node: pressure | code: stn | fields: ts, qc, reading, value
Sensor: rainfall | fields: lat, value, level, type
Task: Fetch reading from pressure that have at least one corresponding rainfall measurement for the same depth.
Script: | readings = fetch(
node=Node("pressure", code="stn"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="reading",
) | {
"outer_table": "pressure",
"inner_table": "rainfall",
"outer_alias": "stn",
"inner_alias": "rnfl",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069010 | train |
v3 | Sensor network script:
Node: air_quality | code: hub | fields: level, lat, lon, ts
Sensor: turbidity | fields: unit, type, ts, level
Task: Retrieve depth from air_quality with value above the MAX(reading) of turbidity readings sharing the same qc.
Script: | readings = fetch(
node=Node("air_quality", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("turbidity", code="ftu"),
match="qc"),
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "turbidity",
"outer_alias": "hub",
"inner_alias": "ftu",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069011 | train |
v2 | Sensor network script:
Node: soil_moisture | code: mst | fields: reading, ts, qc, value
Sensor: frost | fields: depth, qc, ts, level
Task: Fetch level from soil_moisture that have at least one corresponding frost measurement for the same unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=has_match(
source=Probe("frost", code="frs"),
match="unit",
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "frost",
"outer_alias": "mst",
"inner_alias": "frs",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069012 | train |
v2 | Sensor network script:
Node: sunlight | code: gst | fields: value, reading, type, lon
Sensor: pressure | fields: unit, ts, type, value
Task: Fetch depth from sunlight that have at least one corresponding pressure measurement for the same unit.
Script: | readings = fetch(
node=Node("sunlight", code="gst"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="unit",
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069013 | train |
v1 | Sensor network script:
Node: dew_point | code: gst | fields: lon, ts, value, depth
Sensor: temperature | fields: value, level, qc, unit
Task: Get value from dew_point where type appears in temperature readings with matching type.
Script: | readings = fetch(
node=Node("dew_point", code="gst"),
filter=set_member(
field="type",
source=Probe("temperature", code="thr"),
match="type",
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "value",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069014 | train |
v3 | Sensor network script:
Node: snow_depth | code: thr | fields: type, depth, lon, unit
Sensor: sunlight | fields: reading, unit, lon, level
Task: Fetch reading from snow_depth where depth is greater than the minimum of value in sunlight for matching qc.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("sunlight", code="brt"),
match="qc"),
),
output="reading",
) | {
"outer_table": "snow_depth",
"inner_table": "sunlight",
"outer_alias": "thr",
"inner_alias": "brt",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069015 | train |
v3 | Sensor network script:
Node: pressure | code: mst | fields: type, level, value, qc
Sensor: lightning | fields: lon, unit, reading, type
Task: Get value from pressure where value exceeds the minimum value from lightning for the same type.
Script: | readings = fetch(
node=Node("pressure", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "value",
source=Probe("lightning", code="tnd"),
match="type"),
),
output="value",
) | {
"outer_table": "pressure",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069016 | train |
v2 | Sensor network script:
Node: pressure | code: prt | fields: level, value, reading, type
Sensor: wind_speed | fields: ts, reading, unit, level
Task: Fetch value from pressure that have at least one corresponding wind_speed measurement for the same type.
Script: | readings = fetch(
node=Node("pressure", code="prt"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="type",
),
output="value",
) | {
"outer_table": "pressure",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069017 | train |
v3 | Sensor network script:
Node: evaporation | code: clr | fields: level, lat, ts, unit
Sensor: temperature | fields: value, depth, ts, type
Task: Retrieve lat from evaporation with value above the SUM(reading) of temperature readings sharing the same type.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("temperature", code="thr"),
match="type"),
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "temperature",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069018 | train |
v1 | Sensor network script:
Node: cloud_cover | code: ref | fields: level, value, lon, unit
Sensor: temperature | fields: qc, depth, type, value
Task: Retrieve reading from cloud_cover whose unit is found in temperature records where qc matches the outer node.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=set_member(
field="unit",
source=Probe("temperature", code="thr"),
match="qc",
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069019 | train |
v1 | Sensor network script:
Node: soil_moisture | code: prt | fields: depth, level, unit, type
Sensor: visibility | fields: level, unit, ts, type
Task: Fetch level from soil_moisture where depth exists in visibility sensor data for the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="prt"),
filter=set_member(
field="depth",
source=Probe("visibility", code="clr"),
match="ts",
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "visibility",
"outer_alias": "prt",
"inner_alias": "clr",
"proj_col": "level",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069020 | train |
v1 | Sensor network script:
Node: drought_index | code: stn | fields: level, lon, ts, reading
Sensor: air_quality | fields: depth, reading, lat, value
Task: Fetch reading from drought_index where type exists in air_quality sensor data for the same depth.
Script: | readings = fetch(
node=Node("drought_index", code="stn"),
filter=set_member(
field="type",
source=Probe("air_quality", code="prt"),
match="depth",
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "air_quality",
"outer_alias": "stn",
"inner_alias": "prt",
"proj_col": "reading",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069021 | train |
v3 | Sensor network script:
Node: turbidity | code: thr | fields: reading, unit, lon, lat
Sensor: soil_moisture | fields: type, ts, unit, depth
Task: Fetch lon from turbidity where value is greater than the average of value in soil_moisture for matching depth.
Script: | readings = fetch(
node=Node("turbidity", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "value",
source=Probe("soil_moisture", code="grvl"),
match="depth"),
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "soil_moisture",
"outer_alias": "thr",
"inner_alias": "grvl",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069022 | train |
v3 | Sensor network script:
Node: uv_index | code: ref | fields: lat, type, ts, lon
Sensor: sunlight | fields: type, reading, unit, level
Task: Retrieve value from uv_index with value above the MIN(depth) of sunlight readings sharing the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "depth",
source=Probe("sunlight", code="brt"),
match="unit"),
),
output="value",
) | {
"outer_table": "uv_index",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "value",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069023 | train |
v2 | Sensor network script:
Node: frost | code: ref | fields: value, ts, depth, reading
Sensor: snow_depth | fields: depth, reading, lon, value
Task: Get reading from frost where a corresponding entry exists in snow_depth with the same qc.
Script: | readings = fetch(
node=Node("frost", code="ref"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="qc",
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "snow_depth",
"outer_alias": "ref",
"inner_alias": "snw",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069024 | train |
v3 | Sensor network script:
Node: soil_moisture | code: gst | fields: lat, type, unit, value
Sensor: snow_depth | fields: level, type, reading, qc
Task: Get level from soil_moisture where depth exceeds the average value from snow_depth for the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("snow_depth", code="snw"),
match="type"),
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "snow_depth",
"outer_alias": "gst",
"inner_alias": "snw",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069025 | train |
v2 | Sensor network script:
Node: turbidity | code: clr | fields: ts, value, depth, type
Sensor: rainfall | fields: unit, value, depth, type
Task: Get depth from turbidity where a corresponding entry exists in rainfall with the same unit.
Script: | readings = fetch(
node=Node("turbidity", code="clr"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="unit",
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "rainfall",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069026 | train |
v3 | Sensor network script:
Node: cloud_cover | code: gst | fields: unit, depth, lon, lat
Sensor: evaporation | fields: qc, depth, ts, lat
Task: Get value from cloud_cover where value exceeds the total reading from evaporation for the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "reading",
source=Probe("evaporation", code="evp"),
match="unit"),
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "evaporation",
"outer_alias": "gst",
"inner_alias": "evp",
"proj_col": "value",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069027 | train |
v3 | Sensor network script:
Node: temperature | code: gst | fields: level, reading, depth, type
Sensor: frost | fields: ts, reading, lon, level
Task: Retrieve value from temperature with reading above the AVG(depth) of frost readings sharing the same depth.
Script: | readings = fetch(
node=Node("temperature", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("frost", code="frs"),
match="depth"),
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "frost",
"outer_alias": "gst",
"inner_alias": "frs",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069028 | train |
v1 | Sensor network script:
Node: pressure | code: prt | fields: level, unit, qc, depth
Sensor: cloud_cover | fields: unit, type, lat, lon
Task: Fetch level from pressure where depth exists in cloud_cover sensor data for the same type.
Script: | readings = fetch(
node=Node("pressure", code="prt"),
filter=set_member(
field="depth",
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "cloud_cover",
"outer_alias": "prt",
"inner_alias": "nbl",
"proj_col": "level",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069029 | train |
v3 | Sensor network script:
Node: drought_index | code: clr | fields: level, unit, lon, depth
Sensor: lightning | fields: ts, level, unit, type
Task: Fetch depth from drought_index where value is greater than the minimum of depth in lightning for matching ts.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "depth",
source=Probe("lightning", code="tnd"),
match="ts"),
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "lightning",
"outer_alias": "clr",
"inner_alias": "tnd",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069030 | train |
v3 | Sensor network script:
Node: soil_moisture | code: stn | fields: type, reading, lon, ts
Sensor: snow_depth | fields: level, lon, qc, unit
Task: Retrieve level from soil_moisture with value above the MAX(depth) of snow_depth readings sharing the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "depth",
source=Probe("snow_depth", code="snw"),
match="ts"),
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "snow_depth",
"outer_alias": "stn",
"inner_alias": "snw",
"proj_col": "level",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069031 | train |
v3 | Sensor network script:
Node: turbidity | code: mst | fields: type, reading, level, lon
Sensor: humidity | fields: qc, depth, reading, unit
Task: Get depth from turbidity where reading exceeds the average value from humidity for the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "value",
source=Probe("humidity", code="hgr"),
match="depth"),
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069032 | train |
v2 | Sensor network script:
Node: uv_index | code: ref | fields: type, lat, lon, ts
Sensor: cloud_cover | fields: qc, level, depth, unit
Task: Fetch level from uv_index that have at least one corresponding cloud_cover measurement for the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="level",
) | {
"outer_table": "uv_index",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069033 | train |
v1 | Sensor network script:
Node: turbidity | code: ref | fields: depth, reading, qc, level
Sensor: humidity | fields: value, ts, depth, type
Task: Fetch reading from turbidity where depth exists in humidity sensor data for the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=set_member(
field="depth",
source=Probe("humidity", code="hgr"),
match="depth",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "humidity",
"outer_alias": "ref",
"inner_alias": "hgr",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069034 | train |
v1 | Sensor network script:
Node: lightning | code: ref | fields: level, reading, depth, unit
Sensor: soil_moisture | fields: reading, value, level, ts
Task: Retrieve level from lightning whose ts is found in soil_moisture records where type matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=set_member(
field="ts",
source=Probe("soil_moisture", code="grvl"),
match="type",
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "soil_moisture",
"outer_alias": "ref",
"inner_alias": "grvl",
"proj_col": "level",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069035 | train |
v1 | Sensor network script:
Node: cloud_cover | code: prt | fields: lat, depth, level, unit
Sensor: turbidity | fields: value, qc, unit, lon
Task: Fetch level from cloud_cover where ts exists in turbidity sensor data for the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="prt"),
filter=set_member(
field="ts",
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069036 | train |
v3 | Sensor network script:
Node: soil_moisture | code: mst | fields: lon, depth, lat, type
Sensor: pressure | fields: type, unit, value, depth
Task: Retrieve level from soil_moisture with reading above the MIN(reading) of pressure readings sharing the same qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "reading",
source=Probe("pressure", code="mbl"),
match="qc"),
),
output="level",
) | {
"outer_table": "soil_moisture",
"inner_table": "pressure",
"outer_alias": "mst",
"inner_alias": "mbl",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069037 | train |
v3 | Sensor network script:
Node: lightning | code: mst | fields: unit, lon, ts, level
Sensor: temperature | fields: ts, unit, reading, type
Task: Retrieve lat from lightning with reading above the MAX(depth) of temperature readings sharing the same unit.
Script: | readings = fetch(
node=Node("lightning", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "depth",
source=Probe("temperature", code="thr"),
match="unit"),
),
output="lat",
) | {
"outer_table": "lightning",
"inner_table": "temperature",
"outer_alias": "mst",
"inner_alias": "thr",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069038 | train |
v1 | Sensor network script:
Node: temperature | code: thr | fields: qc, lat, depth, reading
Sensor: uv_index | fields: value, type, level, qc
Task: Get depth from temperature where type appears in uv_index readings with matching type.
Script: | readings = fetch(
node=Node("temperature", code="thr"),
filter=set_member(
field="type",
source=Probe("uv_index", code="flx"),
match="type",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "uv_index",
"outer_alias": "thr",
"inner_alias": "flx",
"proj_col": "depth",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069039 | train |
v1 | Sensor network script:
Node: air_quality | code: stn | fields: type, lon, reading, level
Sensor: soil_moisture | fields: type, unit, ts, lat
Task: Get level from air_quality where ts appears in soil_moisture readings with matching type.
Script: | readings = fetch(
node=Node("air_quality", code="stn"),
filter=set_member(
field="ts",
source=Probe("soil_moisture", code="grvl"),
match="type",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "soil_moisture",
"outer_alias": "stn",
"inner_alias": "grvl",
"proj_col": "level",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069040 | train |
v1 | Sensor network script:
Node: visibility | code: prt | fields: reading, value, unit, level
Sensor: sunlight | fields: qc, type, lat, ts
Task: Retrieve reading from visibility whose unit is found in sunlight records where ts matches the outer node.
Script: | readings = fetch(
node=Node("visibility", code="prt"),
filter=set_member(
field="unit",
source=Probe("sunlight", code="brt"),
match="ts",
),
output="reading",
) | {
"outer_table": "visibility",
"inner_table": "sunlight",
"outer_alias": "prt",
"inner_alias": "brt",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069041 | train |
v2 | Sensor network script:
Node: frost | code: stn | fields: unit, type, level, qc
Sensor: soil_moisture | fields: qc, level, type, lat
Task: Get lon from frost where a corresponding entry exists in soil_moisture with the same type.
Script: | readings = fetch(
node=Node("frost", code="stn"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="type",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "soil_moisture",
"outer_alias": "stn",
"inner_alias": "grvl",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069042 | train |
v2 | Sensor network script:
Node: soil_moisture | code: prt | fields: value, lon, type, lat
Sensor: wind_speed | fields: reading, qc, unit, level
Task: Retrieve lat from soil_moisture that have at least one matching reading in wind_speed sharing the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="prt"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="type",
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069043 | train |
v3 | Sensor network script:
Node: turbidity | code: prt | fields: unit, depth, reading, ts
Sensor: frost | fields: value, lat, level, reading
Task: Retrieve reading from turbidity with value above the COUNT(depth) of frost readings sharing the same type.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "depth",
source=Probe("frost", code="frs"),
match="type"),
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "frost",
"outer_alias": "prt",
"inner_alias": "frs",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069044 | train |
v1 | Sensor network script:
Node: temperature | code: gst | fields: lat, unit, lon, value
Sensor: evaporation | fields: value, depth, type, ts
Task: Fetch value from temperature where depth exists in evaporation sensor data for the same depth.
Script: | readings = fetch(
node=Node("temperature", code="gst"),
filter=set_member(
field="depth",
source=Probe("evaporation", code="evp"),
match="depth",
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "evaporation",
"outer_alias": "gst",
"inner_alias": "evp",
"proj_col": "value",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069045 | train |
v2 | Sensor network script:
Node: sunlight | code: hub | fields: qc, type, reading, lon
Sensor: pressure | fields: level, qc, depth, ts
Task: Get level from sunlight where a corresponding entry exists in pressure with the same unit.
Script: | readings = fetch(
node=Node("sunlight", code="hub"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="unit",
),
output="level",
) | {
"outer_table": "sunlight",
"inner_table": "pressure",
"outer_alias": "hub",
"inner_alias": "mbl",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069046 | train |
v1 | Sensor network script:
Node: lightning | code: ref | fields: unit, type, qc, depth
Sensor: soil_moisture | fields: depth, type, ts, lon
Task: Fetch reading from lightning where type exists in soil_moisture sensor data for the same unit.
Script: | readings = fetch(
node=Node("lightning", code="ref"),
filter=set_member(
field="type",
source=Probe("soil_moisture", code="grvl"),
match="unit",
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "soil_moisture",
"outer_alias": "ref",
"inner_alias": "grvl",
"proj_col": "reading",
"filter_col": "type",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069047 | train |
v3 | Sensor network script:
Node: snow_depth | code: gst | fields: lat, depth, qc, ts
Sensor: turbidity | fields: lat, value, ts, level
Task: Fetch value from snow_depth where value is greater than the count of of reading in turbidity for matching ts.
Script: | readings = fetch(
node=Node("snow_depth", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "reading",
source=Probe("turbidity", code="ftu"),
match="ts"),
),
output="value",
) | {
"outer_table": "snow_depth",
"inner_table": "turbidity",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "value",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069048 | train |
v2 | Sensor network script:
Node: snow_depth | code: clr | fields: unit, lon, lat, depth
Sensor: humidity | fields: type, value, unit, level
Task: Fetch lon from snow_depth that have at least one corresponding humidity measurement for the same ts.
Script: | readings = fetch(
node=Node("snow_depth", code="clr"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="ts",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "humidity",
"outer_alias": "clr",
"inner_alias": "hgr",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069049 | train |
v3 | Sensor network script:
Node: uv_index | code: mst | fields: lat, reading, depth, lon
Sensor: humidity | fields: ts, type, value, unit
Task: Retrieve depth from uv_index with reading above the MIN(depth) of humidity readings sharing the same ts.
Script: | readings = fetch(
node=Node("uv_index", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "depth",
source=Probe("humidity", code="hgr"),
match="ts"),
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069050 | train |
v3 | Sensor network script:
Node: evaporation | code: thr | fields: qc, ts, depth, lon
Sensor: air_quality | fields: reading, type, ts, unit
Task: Get reading from evaporation where reading exceeds the count of value from air_quality for the same type.
Script: | readings = fetch(
node=Node("evaporation", code="thr"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("air_quality", code="prt"),
match="type"),
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "air_quality",
"outer_alias": "thr",
"inner_alias": "prt",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069051 | train |
v3 | Sensor network script:
Node: pressure | code: clr | fields: unit, lat, level, lon
Sensor: evaporation | fields: depth, value, qc, unit
Task: Fetch lat from pressure where reading is greater than the minimum of value in evaporation for matching qc.
Script: | readings = fetch(
node=Node("pressure", code="clr"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("evaporation", code="evp"),
match="qc"),
),
output="lat",
) | {
"outer_table": "pressure",
"inner_table": "evaporation",
"outer_alias": "clr",
"inner_alias": "evp",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069052 | train |
v1 | Sensor network script:
Node: soil_moisture | code: thr | fields: level, type, depth, qc
Sensor: wind_speed | fields: level, lon, ts, qc
Task: Retrieve value from soil_moisture whose qc is found in wind_speed records where type matches the outer node.
Script: | readings = fetch(
node=Node("soil_moisture", code="thr"),
filter=set_member(
field="qc",
source=Probe("wind_speed", code="gst"),
match="type",
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "wind_speed",
"outer_alias": "thr",
"inner_alias": "gst",
"proj_col": "value",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069053 | train |
v1 | Sensor network script:
Node: cloud_cover | code: ref | fields: lon, value, ts, type
Sensor: visibility | fields: value, reading, level, lon
Task: Get lon from cloud_cover where unit appears in visibility readings with matching ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=set_member(
field="unit",
source=Probe("visibility", code="clr"),
match="ts",
),
output="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069054 | train |
v1 | Sensor network script:
Node: pressure | code: thr | fields: ts, lat, lon, value
Sensor: humidity | fields: depth, lon, ts, lat
Task: Fetch level from pressure where unit exists in humidity sensor data for the same depth.
Script: | readings = fetch(
node=Node("pressure", code="thr"),
filter=set_member(
field="unit",
source=Probe("humidity", code="hgr"),
match="depth",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "level",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069055 | train |
v3 | Sensor network script:
Node: temperature | code: gst | fields: type, lon, level, lat
Sensor: humidity | fields: depth, unit, value, qc
Task: Retrieve value from temperature with value above the MAX(reading) of humidity readings sharing the same unit.
Script: | readings = fetch(
node=Node("temperature", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("humidity", code="hgr"),
match="unit"),
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "humidity",
"outer_alias": "gst",
"inner_alias": "hgr",
"proj_col": "value",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069056 | train |
v1 | Sensor network script:
Node: snow_depth | code: prt | fields: depth, reading, level, ts
Sensor: turbidity | fields: ts, unit, type, level
Task: Get depth from snow_depth where depth appears in turbidity readings with matching depth.
Script: | readings = fetch(
node=Node("snow_depth", code="prt"),
filter=set_member(
field="depth",
source=Probe("turbidity", code="ftu"),
match="depth",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069057 | train |
v2 | Sensor network script:
Node: humidity | code: stn | fields: reading, ts, depth, lon
Sensor: uv_index | fields: unit, reading, level, value
Task: Fetch lat from humidity that have at least one corresponding uv_index measurement for the same ts.
Script: | readings = fetch(
node=Node("humidity", code="stn"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="ts",
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069058 | train |
v2 | Sensor network script:
Node: evaporation | code: hub | fields: reading, ts, type, depth
Sensor: frost | fields: unit, lon, reading, depth
Task: Fetch lat from evaporation that have at least one corresponding frost measurement for the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="hub"),
filter=has_match(
source=Probe("frost", code="frs"),
match="qc",
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069059 | train |
v3 | Sensor network script:
Node: drought_index | code: mst | fields: unit, depth, ts, value
Sensor: uv_index | fields: qc, depth, type, level
Task: Retrieve value from drought_index with depth above the COUNT(reading) of uv_index readings sharing the same unit.
Script: | readings = fetch(
node=Node("drought_index", code="mst"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "reading",
source=Probe("uv_index", code="flx"),
match="unit"),
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "uv_index",
"outer_alias": "mst",
"inner_alias": "flx",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069060 | train |
v2 | Sensor network script:
Node: snow_depth | code: thr | fields: depth, value, type, lat
Sensor: frost | fields: lon, type, level, depth
Task: Get depth from snow_depth where a corresponding entry exists in frost with the same depth.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=has_match(
source=Probe("frost", code="frs"),
match="depth",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "frost",
"outer_alias": "thr",
"inner_alias": "frs",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069061 | train |
v3 | Sensor network script:
Node: humidity | code: hub | fields: unit, reading, level, value
Sensor: sunlight | fields: type, level, lat, unit
Task: Retrieve reading from humidity with value above the SUM(depth) of sunlight readings sharing the same type.
Script: | readings = fetch(
node=Node("humidity", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "depth",
source=Probe("sunlight", code="brt"),
match="type"),
),
output="reading",
) | {
"outer_table": "humidity",
"inner_table": "sunlight",
"outer_alias": "hub",
"inner_alias": "brt",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069062 | train |
v2 | Sensor network script:
Node: frost | code: prt | fields: lat, depth, ts, reading
Sensor: visibility | fields: qc, ts, depth, value
Task: Retrieve level from frost that have at least one matching reading in visibility sharing the same depth.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="depth",
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "visibility",
"outer_alias": "prt",
"inner_alias": "clr",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069063 | train |
v2 | Sensor network script:
Node: sunlight | code: ref | fields: type, value, lon, ts
Sensor: drought_index | fields: ts, depth, lat, value
Task: Get level from sunlight where a corresponding entry exists in drought_index with the same unit.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="unit",
),
output="level",
) | {
"outer_table": "sunlight",
"inner_table": "drought_index",
"outer_alias": "ref",
"inner_alias": "drt",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069064 | train |
v1 | Sensor network script:
Node: evaporation | code: ref | fields: level, reading, value, type
Sensor: sunlight | fields: value, type, ts, qc
Task: Fetch level from evaporation where type exists in sunlight sensor data for the same type.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=set_member(
field="type",
source=Probe("sunlight", code="brt"),
match="type",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "level",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069065 | train |
v1 | Sensor network script:
Node: pressure | code: ref | fields: ts, unit, reading, qc
Sensor: cloud_cover | fields: value, lat, depth, reading
Task: Fetch lon from pressure where depth exists in cloud_cover sensor data for the same unit.
Script: | readings = fetch(
node=Node("pressure", code="ref"),
filter=set_member(
field="depth",
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="lon",
) | {
"outer_table": "pressure",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069066 | train |
v2 | Sensor network script:
Node: cloud_cover | code: ref | fields: unit, ts, lat, level
Sensor: humidity | fields: type, ts, reading, qc
Task: Retrieve lat from cloud_cover that have at least one matching reading in humidity sharing the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="qc",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "humidity",
"outer_alias": "ref",
"inner_alias": "hgr",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069067 | train |
v2 | Sensor network script:
Node: rainfall | code: gst | fields: lon, value, lat, unit
Sensor: cloud_cover | fields: type, reading, qc, unit
Task: Get lat from rainfall where a corresponding entry exists in cloud_cover with the same qc.
Script: | readings = fetch(
node=Node("rainfall", code="gst"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="lat",
) | {
"outer_table": "rainfall",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069068 | train |
v1 | Sensor network script:
Node: air_quality | code: ref | fields: ts, reading, level, lon
Sensor: sunlight | fields: qc, level, unit, ts
Task: Get depth from air_quality where unit appears in sunlight readings with matching ts.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=set_member(
field="unit",
source=Probe("sunlight", code="brt"),
match="ts",
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069069 | train |
v2 | Sensor network script:
Node: lightning | code: prt | fields: level, unit, type, ts
Sensor: turbidity | fields: level, lon, lat, qc
Task: Fetch lon from lightning that have at least one corresponding turbidity measurement for the same qc.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "lon",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069070 | train |
v2 | Sensor network script:
Node: turbidity | code: stn | fields: reading, depth, qc, ts
Sensor: rainfall | fields: depth, level, qc, lon
Task: Get level from turbidity where a corresponding entry exists in rainfall with the same type.
Script: | readings = fetch(
node=Node("turbidity", code="stn"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="type",
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "rainfall",
"outer_alias": "stn",
"inner_alias": "rnfl",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069071 | train |
v2 | Sensor network script:
Node: rainfall | code: clr | fields: value, qc, depth, lat
Sensor: turbidity | fields: depth, unit, lat, reading
Task: Get value from rainfall where a corresponding entry exists in turbidity with the same ts.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="ts",
),
output="value",
) | {
"outer_table": "rainfall",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "value",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069072 | train |
v1 | Sensor network script:
Node: wind_speed | code: hub | fields: value, lon, lat, ts
Sensor: uv_index | fields: reading, value, unit, depth
Task: Fetch lat from wind_speed where unit exists in uv_index sensor data for the same qc.
Script: | readings = fetch(
node=Node("wind_speed", code="hub"),
filter=set_member(
field="unit",
source=Probe("uv_index", code="flx"),
match="qc",
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "uv_index",
"outer_alias": "hub",
"inner_alias": "flx",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069073 | train |
v3 | Sensor network script:
Node: soil_moisture | code: ref | fields: qc, unit, depth, level
Sensor: turbidity | fields: lon, type, reading, ts
Task: Fetch lon from soil_moisture where depth is greater than the average of reading in turbidity for matching type.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("turbidity", code="ftu"),
match="type"),
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069074 | train |
v2 | Sensor network script:
Node: turbidity | code: ref | fields: type, value, lon, level
Sensor: sunlight | fields: ts, level, value, type
Task: Retrieve level from turbidity that have at least one matching reading in sunlight sharing the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="depth",
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069075 | train |
v3 | Sensor network script:
Node: visibility | code: gst | fields: qc, unit, lon, type
Sensor: turbidity | fields: lon, depth, level, unit
Task: Get lon from visibility where value exceeds the minimum depth from turbidity for the same ts.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "depth",
source=Probe("turbidity", code="ftu"),
match="ts"),
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "turbidity",
"outer_alias": "gst",
"inner_alias": "ftu",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069076 | train |
v1 | Sensor network script:
Node: uv_index | code: mst | fields: level, qc, unit, type
Sensor: turbidity | fields: depth, lat, ts, qc
Task: Retrieve lat from uv_index whose type is found in turbidity records where qc matches the outer node.
Script: | readings = fetch(
node=Node("uv_index", code="mst"),
filter=set_member(
field="type",
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "turbidity",
"outer_alias": "mst",
"inner_alias": "ftu",
"proj_col": "lat",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069077 | train |
v2 | Sensor network script:
Node: air_quality | code: thr | fields: depth, level, unit, type
Sensor: lightning | fields: type, unit, ts, qc
Task: Retrieve depth from air_quality that have at least one matching reading in lightning sharing the same depth.
Script: | readings = fetch(
node=Node("air_quality", code="thr"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="depth",
),
output="depth",
) | {
"outer_table": "air_quality",
"inner_table": "lightning",
"outer_alias": "thr",
"inner_alias": "tnd",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069078 | train |
v3 | Sensor network script:
Node: snow_depth | code: hub | fields: unit, lat, value, type
Sensor: humidity | fields: lat, ts, value, depth
Task: Retrieve lon from snow_depth with depth above the MIN(value) of humidity readings sharing the same unit.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("humidity", code="hgr"),
match="unit"),
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "humidity",
"outer_alias": "hub",
"inner_alias": "hgr",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069079 | train |
v1 | Sensor network script:
Node: sunlight | code: ref | fields: lat, level, ts, unit
Sensor: dew_point | fields: depth, lat, value, lon
Task: Retrieve level from sunlight whose qc is found in dew_point records where unit matches the outer node.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=set_member(
field="qc",
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="level",
) | {
"outer_table": "sunlight",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "level",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069080 | train |
v2 | Sensor network script:
Node: turbidity | code: prt | fields: depth, type, lon, ts
Sensor: rainfall | fields: unit, ts, depth, reading
Task: Get depth from turbidity where a corresponding entry exists in rainfall with the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "rainfall",
"outer_alias": "prt",
"inner_alias": "rnfl",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069081 | train |
v1 | Sensor network script:
Node: temperature | code: stn | fields: unit, reading, value, depth
Sensor: uv_index | fields: value, lon, reading, type
Task: Get depth from temperature where unit appears in uv_index readings with matching type.
Script: | readings = fetch(
node=Node("temperature", code="stn"),
filter=set_member(
field="unit",
source=Probe("uv_index", code="flx"),
match="type",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069082 | train |
v1 | Sensor network script:
Node: turbidity | code: stn | fields: lon, value, qc, unit
Sensor: evaporation | fields: lon, lat, type, unit
Task: Fetch depth from turbidity where qc exists in evaporation sensor data for the same ts.
Script: | readings = fetch(
node=Node("turbidity", code="stn"),
filter=set_member(
field="qc",
source=Probe("evaporation", code="evp"),
match="ts",
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "evaporation",
"outer_alias": "stn",
"inner_alias": "evp",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069083 | train |
v1 | Sensor network script:
Node: uv_index | code: ref | fields: qc, unit, level, ts
Sensor: air_quality | fields: type, lon, ts, value
Task: Get lon from uv_index where qc appears in air_quality readings with matching depth.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=set_member(
field="qc",
source=Probe("air_quality", code="prt"),
match="depth",
),
output="lon",
) | {
"outer_table": "uv_index",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069084 | train |
v3 | Sensor network script:
Node: snow_depth | code: stn | fields: depth, unit, qc, lat
Sensor: cloud_cover | fields: unit, depth, level, qc
Task: Fetch depth from snow_depth where value is greater than the maximum of value in cloud_cover for matching ts.
Script: | readings = fetch(
node=Node("snow_depth", code="stn"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "value",
source=Probe("cloud_cover", code="nbl"),
match="ts"),
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "cloud_cover",
"outer_alias": "stn",
"inner_alias": "nbl",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069085 | train |
v1 | Sensor network script:
Node: wind_speed | code: gst | fields: qc, unit, value, lat
Sensor: temperature | fields: type, ts, lon, value
Task: Retrieve reading from wind_speed whose unit is found in temperature records where type matches the outer node.
Script: | readings = fetch(
node=Node("wind_speed", code="gst"),
filter=set_member(
field="unit",
source=Probe("temperature", code="thr"),
match="type",
),
output="reading",
) | {
"outer_table": "wind_speed",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "reading",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069086 | train |
v3 | Sensor network script:
Node: lightning | code: hub | fields: level, lat, type, reading
Sensor: snow_depth | fields: value, qc, depth, lon
Task: Retrieve level from lightning with reading above the MAX(reading) of snow_depth readings sharing the same depth.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "reading",
source=Probe("snow_depth", code="snw"),
match="depth"),
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "snow_depth",
"outer_alias": "hub",
"inner_alias": "snw",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069087 | train |
v2 | Sensor network script:
Node: humidity | code: hub | fields: qc, lon, ts, lat
Sensor: soil_moisture | fields: unit, depth, lat, ts
Task: Fetch depth from humidity that have at least one corresponding soil_moisture measurement for the same qc.
Script: | readings = fetch(
node=Node("humidity", code="hub"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="depth",
) | {
"outer_table": "humidity",
"inner_table": "soil_moisture",
"outer_alias": "hub",
"inner_alias": "grvl",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069088 | train |
v3 | Sensor network script:
Node: rainfall | code: ref | fields: unit, qc, type, depth
Sensor: humidity | fields: depth, type, value, ts
Task: Get lat from rainfall where reading exceeds the total depth from humidity for the same depth.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("SUM", "depth",
source=Probe("humidity", code="hgr"),
match="depth"),
),
output="lat",
) | {
"outer_table": "rainfall",
"inner_table": "humidity",
"outer_alias": "ref",
"inner_alias": "hgr",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069089 | train |
v1 | Sensor network script:
Node: cloud_cover | code: stn | fields: unit, reading, value, ts
Sensor: wind_speed | fields: unit, ts, lon, reading
Task: Retrieve lon from cloud_cover whose unit is found in wind_speed records where unit matches the outer node.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=set_member(
field="unit",
source=Probe("wind_speed", code="gst"),
match="unit",
),
output="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "wind_speed",
"outer_alias": "stn",
"inner_alias": "gst",
"proj_col": "lon",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069090 | train |
v2 | Sensor network script:
Node: snow_depth | code: stn | fields: lon, qc, unit, level
Sensor: humidity | fields: ts, reading, qc, level
Task: Fetch lon from snow_depth that have at least one corresponding humidity measurement for the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="stn"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="qc",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "humidity",
"outer_alias": "stn",
"inner_alias": "hgr",
"proj_col": "lon",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069091 | train |
v1 | Sensor network script:
Node: temperature | code: thr | fields: lat, ts, depth, type
Sensor: lightning | fields: lon, type, lat, value
Task: Fetch lat from temperature where ts exists in lightning sensor data for the same type.
Script: | readings = fetch(
node=Node("temperature", code="thr"),
filter=set_member(
field="ts",
source=Probe("lightning", code="tnd"),
match="type",
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "lightning",
"outer_alias": "thr",
"inner_alias": "tnd",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069092 | train |
v3 | Sensor network script:
Node: lightning | code: thr | fields: lat, depth, qc, value
Sensor: turbidity | fields: lon, reading, level, type
Task: Fetch level from lightning where depth is greater than the total of value in turbidity for matching qc.
Script: | readings = fetch(
node=Node("lightning", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "value",
source=Probe("turbidity", code="ftu"),
match="qc"),
),
output="level",
) | {
"outer_table": "lightning",
"inner_table": "turbidity",
"outer_alias": "thr",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069093 | train |
v1 | Sensor network script:
Node: lightning | code: gst | fields: qc, reading, ts, depth
Sensor: drought_index | fields: lon, reading, unit, lat
Task: Retrieve lat from lightning whose unit is found in drought_index records where unit matches the outer node.
Script: | readings = fetch(
node=Node("lightning", code="gst"),
filter=set_member(
field="unit",
source=Probe("drought_index", code="drt"),
match="unit",
),
output="lat",
) | {
"outer_table": "lightning",
"inner_table": "drought_index",
"outer_alias": "gst",
"inner_alias": "drt",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069094 | train |
v2 | Sensor network script:
Node: lightning | code: gst | fields: ts, reading, unit, level
Sensor: temperature | fields: unit, qc, lat, level
Task: Fetch value from lightning that have at least one corresponding temperature measurement for the same ts.
Script: | readings = fetch(
node=Node("lightning", code="gst"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="ts",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "value",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069095 | train |
v1 | Sensor network script:
Node: wind_speed | code: ref | fields: lon, reading, depth, type
Sensor: turbidity | fields: qc, reading, lat, ts
Task: Fetch reading from wind_speed where qc exists in turbidity sensor data for the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="ref"),
filter=set_member(
field="qc",
source=Probe("turbidity", code="ftu"),
match="type",
),
output="reading",
) | {
"outer_table": "wind_speed",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069096 | train |
v1 | Sensor network script:
Node: snow_depth | code: gst | fields: lat, lon, value, type
Sensor: pressure | fields: type, value, reading, ts
Task: Retrieve lon from snow_depth whose ts is found in pressure records where qc matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="gst"),
filter=set_member(
field="ts",
source=Probe("pressure", code="mbl"),
match="qc",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "pressure",
"outer_alias": "gst",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069097 | train |
v1 | Sensor network script:
Node: evaporation | code: ref | fields: type, depth, reading, lat
Sensor: uv_index | fields: lon, ts, lat, reading
Task: Retrieve level from evaporation whose qc is found in uv_index records where type matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=set_member(
field="qc",
source=Probe("uv_index", code="flx"),
match="type",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "uv_index",
"outer_alias": "ref",
"inner_alias": "flx",
"proj_col": "level",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_069098 | train |
v2 | Sensor network script:
Node: uv_index | code: ref | fields: reading, ts, qc, level
Sensor: temperature | fields: unit, reading, lon, level
Task: Get depth from uv_index where a corresponding entry exists in temperature with the same ts.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="ts",
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "temperature",
"outer_alias": "ref",
"inner_alias": "thr",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_069099 | train |
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