variant stringclasses 3
values | prompt stringlengths 216 286 | query stringlengths 168 299 | metadata unknown | id stringlengths 28 28 | split stringclasses 1
value |
|---|---|---|---|---|---|
v2 | Sensor network script:
Node: evaporation | code: ref | fields: lon, reading, depth, qc
Sensor: cloud_cover | fields: qc, unit, ts, value
Task: Fetch reading from evaporation that have at least one corresponding cloud_cover measurement for the same ts.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="ts",
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068000 | train |
v1 | Sensor network script:
Node: visibility | code: gst | fields: lon, depth, qc, unit
Sensor: drought_index | fields: value, type, level, lon
Task: Fetch lat from visibility where ts exists in drought_index sensor data for the same type.
Script: | readings = fetch(
node=Node("visibility", code="gst"),
filter=set_member(
field="ts",
source=Probe("drought_index", code="drt"),
match="type",
),
output="lat",
) | {
"outer_table": "visibility",
"inner_table": "drought_index",
"outer_alias": "gst",
"inner_alias": "drt",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068001 | train |
v1 | Sensor network script:
Node: sunlight | code: clr | fields: type, unit, reading, ts
Sensor: temperature | fields: depth, type, qc, lat
Task: Get value from sunlight where qc appears in temperature readings with matching depth.
Script: | readings = fetch(
node=Node("sunlight", code="clr"),
filter=set_member(
field="qc",
source=Probe("temperature", code="thr"),
match="depth",
),
output="value",
) | {
"outer_table": "sunlight",
"inner_table": "temperature",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "value",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068002 | train |
v1 | Sensor network script:
Node: air_quality | code: mst | fields: reading, unit, level, lat
Sensor: wind_speed | fields: value, lon, qc, ts
Task: Retrieve lat from air_quality whose unit is found in wind_speed records where ts matches the outer node.
Script: | readings = fetch(
node=Node("air_quality", code="mst"),
filter=set_member(
field="unit",
source=Probe("wind_speed", code="gst"),
match="ts",
),
output="lat",
) | {
"outer_table": "air_quality",
"inner_table": "wind_speed",
"outer_alias": "mst",
"inner_alias": "gst",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068003 | train |
v3 | Sensor network script:
Node: snow_depth | code: stn | fields: lat, ts, level, value
Sensor: dew_point | fields: ts, reading, lat, value
Task: Retrieve lat from snow_depth with depth above the AVG(depth) of dew_point readings sharing the same ts.
Script: | readings = fetch(
node=Node("snow_depth", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "depth",
source=Probe("dew_point", code="cnd"),
match="ts"),
),
output="lat",
) | {
"outer_table": "snow_depth",
"inner_table": "dew_point",
"outer_alias": "stn",
"inner_alias": "cnd",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068004 | train |
v1 | Sensor network script:
Node: rainfall | code: clr | fields: qc, value, ts, type
Sensor: humidity | fields: type, qc, depth, value
Task: Fetch value from rainfall where type exists in humidity sensor data for the same ts.
Script: | readings = fetch(
node=Node("rainfall", code="clr"),
filter=set_member(
field="type",
source=Probe("humidity", code="hgr"),
match="ts",
),
output="value",
) | {
"outer_table": "rainfall",
"inner_table": "humidity",
"outer_alias": "clr",
"inner_alias": "hgr",
"proj_col": "value",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068005 | train |
v2 | Sensor network script:
Node: pressure | code: ref | fields: level, lon, lat, unit
Sensor: humidity | fields: reading, type, lat, ts
Task: Fetch level from pressure that have at least one corresponding humidity measurement for the same depth.
Script: | readings = fetch(
node=Node("pressure", code="ref"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="depth",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "humidity",
"outer_alias": "ref",
"inner_alias": "hgr",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068006 | train |
v3 | Sensor network script:
Node: snow_depth | code: prt | fields: level, reading, depth, lat
Sensor: sunlight | fields: reading, ts, qc, unit
Task: Fetch lon from snow_depth where reading is greater than the maximum of reading in sunlight for matching type.
Script: | readings = fetch(
node=Node("snow_depth", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "reading",
source=Probe("sunlight", code="brt"),
match="type"),
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "sunlight",
"outer_alias": "prt",
"inner_alias": "brt",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068007 | train |
v2 | Sensor network script:
Node: frost | code: mst | fields: depth, level, unit, ts
Sensor: lightning | fields: level, ts, qc, unit
Task: Get reading from frost where a corresponding entry exists in lightning with the same type.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="type",
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068008 | train |
v2 | Sensor network script:
Node: wind_speed | code: mst | fields: reading, lat, type, unit
Sensor: uv_index | fields: ts, type, level, unit
Task: Retrieve depth from wind_speed that have at least one matching reading in uv_index sharing the same unit.
Script: | readings = fetch(
node=Node("wind_speed", code="mst"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="unit",
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "uv_index",
"outer_alias": "mst",
"inner_alias": "flx",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068009 | train |
v3 | Sensor network script:
Node: cloud_cover | code: clr | fields: qc, unit, value, level
Sensor: soil_moisture | fields: depth, ts, unit, lon
Task: Fetch value from cloud_cover where value is greater than the minimum of reading in soil_moisture for matching qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "reading",
source=Probe("soil_moisture", code="grvl"),
match="qc"),
),
output="value",
) | {
"outer_table": "cloud_cover",
"inner_table": "soil_moisture",
"outer_alias": "clr",
"inner_alias": "grvl",
"proj_col": "value",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068010 | train |
v3 | Sensor network script:
Node: lightning | code: hub | fields: lat, type, ts, qc
Sensor: visibility | fields: lon, reading, unit, lat
Task: Fetch lon from lightning where depth is greater than the count of of value in visibility for matching qc.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "value",
source=Probe("visibility", code="clr"),
match="qc"),
),
output="lon",
) | {
"outer_table": "lightning",
"inner_table": "visibility",
"outer_alias": "hub",
"inner_alias": "clr",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068011 | train |
v1 | Sensor network script:
Node: turbidity | code: prt | fields: qc, value, lat, depth
Sensor: wind_speed | fields: unit, type, ts, level
Task: Get value from turbidity where ts appears in wind_speed readings with matching ts.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=set_member(
field="ts",
source=Probe("wind_speed", code="gst"),
match="ts",
),
output="value",
) | {
"outer_table": "turbidity",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "value",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068012 | train |
v2 | Sensor network script:
Node: visibility | code: stn | fields: type, value, reading, qc
Sensor: lightning | fields: value, unit, qc, lon
Task: Get value from visibility where a corresponding entry exists in lightning with the same unit.
Script: | readings = fetch(
node=Node("visibility", code="stn"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="unit",
),
output="value",
) | {
"outer_table": "visibility",
"inner_table": "lightning",
"outer_alias": "stn",
"inner_alias": "tnd",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068013 | train |
v2 | Sensor network script:
Node: frost | code: gst | fields: reading, depth, unit, value
Sensor: cloud_cover | fields: unit, value, level, ts
Task: Retrieve level from frost that have at least one matching reading in cloud_cover sharing the same type.
Script: | readings = fetch(
node=Node("frost", code="gst"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068014 | train |
v2 | Sensor network script:
Node: rainfall | code: ref | fields: lon, value, qc, type
Sensor: snow_depth | fields: unit, value, depth, ts
Task: Fetch depth from rainfall that have at least one corresponding snow_depth measurement for the same ts.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="ts",
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "snow_depth",
"outer_alias": "ref",
"inner_alias": "snw",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068015 | train |
v2 | Sensor network script:
Node: drought_index | code: ref | fields: type, level, unit, qc
Sensor: air_quality | fields: type, depth, level, reading
Task: Get level from drought_index where a corresponding entry exists in air_quality with the same depth.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="depth",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068016 | train |
v2 | Sensor network script:
Node: turbidity | code: prt | fields: reading, lat, lon, qc
Sensor: uv_index | fields: unit, depth, lat, type
Task: Retrieve level from turbidity that have at least one matching reading in uv_index sharing the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="depth",
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "uv_index",
"outer_alias": "prt",
"inner_alias": "flx",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068017 | train |
v2 | Sensor network script:
Node: humidity | code: clr | fields: type, qc, unit, lon
Sensor: drought_index | fields: qc, unit, level, lon
Task: Get lat from humidity where a corresponding entry exists in drought_index with the same type.
Script: | readings = fetch(
node=Node("humidity", code="clr"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="type",
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "drought_index",
"outer_alias": "clr",
"inner_alias": "drt",
"proj_col": "lat",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068018 | train |
v3 | Sensor network script:
Node: air_quality | code: thr | fields: lon, depth, value, qc
Sensor: drought_index | fields: ts, value, lat, reading
Task: Get reading from air_quality where depth exceeds the minimum value from drought_index for the same depth.
Script: | readings = fetch(
node=Node("air_quality", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("drought_index", code="drt"),
match="depth"),
),
output="reading",
) | {
"outer_table": "air_quality",
"inner_table": "drought_index",
"outer_alias": "thr",
"inner_alias": "drt",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068019 | train |
v1 | Sensor network script:
Node: wind_speed | code: stn | fields: qc, lon, level, value
Sensor: drought_index | fields: unit, qc, depth, type
Task: Fetch lat from wind_speed where ts exists in drought_index sensor data for the same ts.
Script: | readings = fetch(
node=Node("wind_speed", code="stn"),
filter=set_member(
field="ts",
source=Probe("drought_index", code="drt"),
match="ts",
),
output="lat",
) | {
"outer_table": "wind_speed",
"inner_table": "drought_index",
"outer_alias": "stn",
"inner_alias": "drt",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068020 | train |
v3 | Sensor network script:
Node: sunlight | code: mst | fields: level, qc, ts, reading
Sensor: uv_index | fields: type, qc, value, reading
Task: Fetch level from sunlight where value is greater than the maximum of reading in uv_index for matching unit.
Script: | readings = fetch(
node=Node("sunlight", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("uv_index", code="flx"),
match="unit"),
),
output="level",
) | {
"outer_table": "sunlight",
"inner_table": "uv_index",
"outer_alias": "mst",
"inner_alias": "flx",
"proj_col": "level",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068021 | train |
v3 | Sensor network script:
Node: snow_depth | code: hub | fields: lat, ts, level, reading
Sensor: pressure | fields: unit, ts, lon, lat
Task: Fetch level from snow_depth where value is greater than the total of depth in pressure for matching unit.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "depth",
source=Probe("pressure", code="mbl"),
match="unit"),
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "pressure",
"outer_alias": "hub",
"inner_alias": "mbl",
"proj_col": "level",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068022 | train |
v3 | Sensor network script:
Node: sunlight | code: hub | fields: reading, qc, type, unit
Sensor: dew_point | fields: depth, ts, qc, unit
Task: Fetch lon from sunlight where depth is greater than the average of value in dew_point for matching type.
Script: | readings = fetch(
node=Node("sunlight", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("dew_point", code="cnd"),
match="type"),
),
output="lon",
) | {
"outer_table": "sunlight",
"inner_table": "dew_point",
"outer_alias": "hub",
"inner_alias": "cnd",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068023 | train |
v1 | Sensor network script:
Node: pressure | code: gst | fields: lon, unit, lat, value
Sensor: cloud_cover | fields: reading, type, qc, lat
Task: Retrieve level from pressure whose qc is found in cloud_cover records where unit matches the outer node.
Script: | readings = fetch(
node=Node("pressure", code="gst"),
filter=set_member(
field="qc",
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "level",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068024 | train |
v3 | Sensor network script:
Node: temperature | code: mst | fields: depth, lon, lat, qc
Sensor: visibility | fields: lon, ts, depth, value
Task: Fetch reading from temperature where reading is greater than the minimum of value in visibility for matching ts.
Script: | readings = fetch(
node=Node("temperature", code="mst"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("visibility", code="clr"),
match="ts"),
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "visibility",
"outer_alias": "mst",
"inner_alias": "clr",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068025 | train |
v2 | Sensor network script:
Node: drought_index | code: hub | fields: qc, lat, lon, reading
Sensor: frost | fields: ts, qc, lon, lat
Task: Fetch reading from drought_index that have at least one corresponding frost measurement for the same depth.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=has_match(
source=Probe("frost", code="frs"),
match="depth",
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068026 | train |
v1 | Sensor network script:
Node: drought_index | code: clr | fields: ts, unit, value, level
Sensor: cloud_cover | fields: qc, lat, value, ts
Task: Fetch lat from drought_index where depth exists in cloud_cover sensor data for the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=set_member(
field="depth",
source=Probe("cloud_cover", code="nbl"),
match="ts",
),
output="lat",
) | {
"outer_table": "drought_index",
"inner_table": "cloud_cover",
"outer_alias": "clr",
"inner_alias": "nbl",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068027 | train |
v1 | Sensor network script:
Node: drought_index | code: ref | fields: ts, reading, unit, qc
Sensor: dew_point | fields: lon, reading, depth, value
Task: Fetch depth from drought_index where type exists in dew_point sensor data for the same qc.
Script: | readings = fetch(
node=Node("drought_index", code="ref"),
filter=set_member(
field="type",
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "depth",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068028 | train |
v2 | Sensor network script:
Node: lightning | code: prt | fields: lat, depth, qc, value
Sensor: drought_index | fields: value, depth, level, lon
Task: Fetch value from lightning that have at least one corresponding drought_index measurement for the same qc.
Script: | readings = fetch(
node=Node("lightning", code="prt"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="qc",
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068029 | train |
v3 | Sensor network script:
Node: turbidity | code: stn | fields: reading, lon, lat, value
Sensor: uv_index | fields: ts, lon, depth, level
Task: Fetch lat from turbidity where reading is greater than the average of depth in uv_index for matching ts.
Script: | readings = fetch(
node=Node("turbidity", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("uv_index", code="flx"),
match="ts"),
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068030 | train |
v1 | Sensor network script:
Node: evaporation | code: gst | fields: ts, lat, type, reading
Sensor: humidity | fields: qc, reading, ts, lon
Task: Retrieve depth from evaporation whose type is found in humidity records where qc matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="gst"),
filter=set_member(
field="type",
source=Probe("humidity", code="hgr"),
match="qc",
),
output="depth",
) | {
"outer_table": "evaporation",
"inner_table": "humidity",
"outer_alias": "gst",
"inner_alias": "hgr",
"proj_col": "depth",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068031 | train |
v3 | Sensor network script:
Node: turbidity | code: hub | fields: ts, unit, lon, level
Sensor: lightning | fields: lon, type, reading, ts
Task: Fetch depth from turbidity where value is greater than the maximum of depth in lightning for matching depth.
Script: | readings = fetch(
node=Node("turbidity", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "depth",
source=Probe("lightning", code="tnd"),
match="depth"),
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "tnd",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068032 | train |
v1 | Sensor network script:
Node: evaporation | code: thr | fields: depth, reading, value, lon
Sensor: sunlight | fields: lon, type, value, qc
Task: Retrieve lat from evaporation whose qc is found in sunlight records where qc matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="thr"),
filter=set_member(
field="qc",
source=Probe("sunlight", code="brt"),
match="qc",
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "sunlight",
"outer_alias": "thr",
"inner_alias": "brt",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068033 | train |
v3 | Sensor network script:
Node: frost | code: gst | fields: lat, reading, type, qc
Sensor: uv_index | fields: type, ts, depth, level
Task: Get lat from frost where depth exceeds the count of value from uv_index for the same ts.
Script: | readings = fetch(
node=Node("frost", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "value",
source=Probe("uv_index", code="flx"),
match="ts"),
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068034 | train |
v1 | Sensor network script:
Node: temperature | code: stn | fields: unit, lat, type, ts
Sensor: lightning | fields: value, unit, type, lat
Task: Retrieve value from temperature whose type is found in lightning records where qc matches the outer node.
Script: | readings = fetch(
node=Node("temperature", code="stn"),
filter=set_member(
field="type",
source=Probe("lightning", code="tnd"),
match="qc",
),
output="value",
) | {
"outer_table": "temperature",
"inner_table": "lightning",
"outer_alias": "stn",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068035 | train |
v2 | Sensor network script:
Node: soil_moisture | code: mst | fields: lat, unit, type, depth
Sensor: drought_index | fields: reading, unit, level, qc
Task: Retrieve value from soil_moisture that have at least one matching reading in drought_index sharing the same qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="qc",
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "drought_index",
"outer_alias": "mst",
"inner_alias": "drt",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068036 | train |
v2 | Sensor network script:
Node: evaporation | code: mst | fields: unit, ts, lat, qc
Sensor: cloud_cover | fields: unit, qc, depth, value
Task: Retrieve lat from evaporation that have at least one matching reading in cloud_cover sharing the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="mst"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "cloud_cover",
"outer_alias": "mst",
"inner_alias": "nbl",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068037 | train |
v2 | Sensor network script:
Node: air_quality | code: stn | fields: lon, value, level, depth
Sensor: humidity | fields: value, type, qc, depth
Task: Fetch value from air_quality that have at least one corresponding humidity measurement for the same type.
Script: | readings = fetch(
node=Node("air_quality", code="stn"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="type",
),
output="value",
) | {
"outer_table": "air_quality",
"inner_table": "humidity",
"outer_alias": "stn",
"inner_alias": "hgr",
"proj_col": "value",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068038 | train |
v2 | Sensor network script:
Node: dew_point | code: stn | fields: type, value, unit, qc
Sensor: lightning | fields: level, type, unit, reading
Task: Get lon from dew_point where a corresponding entry exists in lightning with the same qc.
Script: | readings = fetch(
node=Node("dew_point", code="stn"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="qc",
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "lightning",
"outer_alias": "stn",
"inner_alias": "tnd",
"proj_col": "lon",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068039 | train |
v2 | Sensor network script:
Node: air_quality | code: stn | fields: reading, unit, type, lat
Sensor: rainfall | fields: level, unit, lat, qc
Task: Fetch level from air_quality that have at least one corresponding rainfall measurement for the same depth.
Script: | readings = fetch(
node=Node("air_quality", code="stn"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="depth",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "rainfall",
"outer_alias": "stn",
"inner_alias": "rnfl",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068040 | train |
v1 | Sensor network script:
Node: wind_speed | code: clr | fields: value, lat, unit, type
Sensor: evaporation | fields: lon, reading, lat, qc
Task: Get value from wind_speed where qc appears in evaporation readings with matching depth.
Script: | readings = fetch(
node=Node("wind_speed", code="clr"),
filter=set_member(
field="qc",
source=Probe("evaporation", code="evp"),
match="depth",
),
output="value",
) | {
"outer_table": "wind_speed",
"inner_table": "evaporation",
"outer_alias": "clr",
"inner_alias": "evp",
"proj_col": "value",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068041 | train |
v3 | Sensor network script:
Node: air_quality | code: mst | fields: depth, value, unit, reading
Sensor: temperature | fields: lat, value, reading, qc
Task: Fetch value from air_quality where value is greater than the count of of depth in temperature for matching depth.
Script: | readings = fetch(
node=Node("air_quality", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "depth",
source=Probe("temperature", code="thr"),
match="depth"),
),
output="value",
) | {
"outer_table": "air_quality",
"inner_table": "temperature",
"outer_alias": "mst",
"inner_alias": "thr",
"proj_col": "value",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068042 | train |
v1 | Sensor network script:
Node: uv_index | code: mst | fields: unit, value, qc, reading
Sensor: snow_depth | fields: unit, qc, lon, depth
Task: Fetch level from uv_index where qc exists in snow_depth sensor data for the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="mst"),
filter=set_member(
field="qc",
source=Probe("snow_depth", code="snw"),
match="unit",
),
output="level",
) | {
"outer_table": "uv_index",
"inner_table": "snow_depth",
"outer_alias": "mst",
"inner_alias": "snw",
"proj_col": "level",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068043 | train |
v3 | Sensor network script:
Node: evaporation | code: gst | fields: type, lat, unit, value
Sensor: humidity | fields: unit, value, ts, reading
Task: Get value from evaporation where depth exceeds the average value from humidity for the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("humidity", code="hgr"),
match="qc"),
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "humidity",
"outer_alias": "gst",
"inner_alias": "hgr",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068044 | train |
v2 | Sensor network script:
Node: wind_speed | code: ref | fields: lon, ts, lat, type
Sensor: pressure | fields: value, ts, level, depth
Task: Fetch level from wind_speed that have at least one corresponding pressure measurement for the same ts.
Script: | readings = fetch(
node=Node("wind_speed", code="ref"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="ts",
),
output="level",
) | {
"outer_table": "wind_speed",
"inner_table": "pressure",
"outer_alias": "ref",
"inner_alias": "mbl",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068045 | train |
v2 | Sensor network script:
Node: cloud_cover | code: ref | fields: qc, ts, type, lat
Sensor: visibility | fields: depth, unit, lat, reading
Task: Retrieve reading from cloud_cover that have at least one matching reading in visibility sharing the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="ref"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="qc",
),
output="reading",
) | {
"outer_table": "cloud_cover",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068046 | train |
v2 | Sensor network script:
Node: pressure | code: ref | fields: value, level, reading, qc
Sensor: dew_point | fields: lon, ts, value, lat
Task: Retrieve level from pressure that have at least one matching reading in dew_point sharing the same unit.
Script: | readings = fetch(
node=Node("pressure", code="ref"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068047 | train |
v1 | Sensor network script:
Node: snow_depth | code: mst | fields: ts, lat, value, unit
Sensor: frost | fields: lat, depth, ts, lon
Task: Fetch lat from snow_depth where unit exists in frost sensor data for the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=set_member(
field="unit",
source=Probe("frost", code="frs"),
match="qc",
),
output="lat",
) | {
"outer_table": "snow_depth",
"inner_table": "frost",
"outer_alias": "mst",
"inner_alias": "frs",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068048 | train |
v2 | Sensor network script:
Node: visibility | code: mst | fields: unit, depth, level, reading
Sensor: snow_depth | fields: unit, reading, lat, depth
Task: Get reading from visibility where a corresponding entry exists in snow_depth with the same ts.
Script: | readings = fetch(
node=Node("visibility", code="mst"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="ts",
),
output="reading",
) | {
"outer_table": "visibility",
"inner_table": "snow_depth",
"outer_alias": "mst",
"inner_alias": "snw",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068049 | train |
v2 | Sensor network script:
Node: evaporation | code: thr | fields: type, unit, lat, level
Sensor: drought_index | fields: reading, level, lat, qc
Task: Retrieve reading from evaporation that have at least one matching reading in drought_index sharing the same unit.
Script: | readings = fetch(
node=Node("evaporation", code="thr"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="unit",
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "drought_index",
"outer_alias": "thr",
"inner_alias": "drt",
"proj_col": "reading",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068050 | train |
v3 | Sensor network script:
Node: air_quality | code: thr | fields: depth, lon, lat, level
Sensor: pressure | fields: depth, lon, lat, qc
Task: Fetch value from air_quality where value is greater than the total of depth in pressure for matching qc.
Script: | readings = fetch(
node=Node("air_quality", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "depth",
source=Probe("pressure", code="mbl"),
match="qc"),
),
output="value",
) | {
"outer_table": "air_quality",
"inner_table": "pressure",
"outer_alias": "thr",
"inner_alias": "mbl",
"proj_col": "value",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068051 | train |
v1 | Sensor network script:
Node: soil_moisture | code: prt | fields: ts, reading, unit, level
Sensor: cloud_cover | fields: ts, lat, depth, lon
Task: Get reading from soil_moisture where depth appears in cloud_cover readings with matching qc.
Script: | readings = fetch(
node=Node("soil_moisture", code="prt"),
filter=set_member(
field="depth",
source=Probe("cloud_cover", code="nbl"),
match="qc",
),
output="reading",
) | {
"outer_table": "soil_moisture",
"inner_table": "cloud_cover",
"outer_alias": "prt",
"inner_alias": "nbl",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068052 | train |
v3 | Sensor network script:
Node: dew_point | code: gst | fields: qc, ts, value, level
Sensor: sunlight | fields: lon, lat, unit, value
Task: Fetch lat from dew_point where value is greater than the average of value in sunlight for matching ts.
Script: | readings = fetch(
node=Node("dew_point", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "value",
source=Probe("sunlight", code="brt"),
match="ts"),
),
output="lat",
) | {
"outer_table": "dew_point",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068053 | train |
v1 | Sensor network script:
Node: temperature | code: hub | fields: type, lon, depth, ts
Sensor: air_quality | fields: qc, depth, type, value
Task: Fetch reading from temperature where qc exists in air_quality sensor data for the same qc.
Script: | readings = fetch(
node=Node("temperature", code="hub"),
filter=set_member(
field="qc",
source=Probe("air_quality", code="prt"),
match="qc",
),
output="reading",
) | {
"outer_table": "temperature",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068054 | train |
v1 | Sensor network script:
Node: snow_depth | code: ref | fields: reading, level, unit, value
Sensor: rainfall | fields: unit, reading, lon, level
Task: Retrieve level from snow_depth whose depth is found in rainfall records where ts matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="ref"),
filter=set_member(
field="depth",
source=Probe("rainfall", code="rnfl"),
match="ts",
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "rainfall",
"outer_alias": "ref",
"inner_alias": "rnfl",
"proj_col": "level",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068055 | train |
v2 | Sensor network script:
Node: cloud_cover | code: mst | fields: lat, type, lon, level
Sensor: visibility | fields: lon, lat, qc, reading
Task: Fetch lat from cloud_cover that have at least one corresponding visibility measurement for the same depth.
Script: | readings = fetch(
node=Node("cloud_cover", code="mst"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="depth",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "visibility",
"outer_alias": "mst",
"inner_alias": "clr",
"proj_col": "lat",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068056 | train |
v2 | Sensor network script:
Node: cloud_cover | code: thr | fields: depth, level, reading, lon
Sensor: frost | fields: qc, type, unit, lat
Task: Get lon from cloud_cover where a corresponding entry exists in frost with the same type.
Script: | readings = fetch(
node=Node("cloud_cover", code="thr"),
filter=has_match(
source=Probe("frost", code="frs"),
match="type",
),
output="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "frost",
"outer_alias": "thr",
"inner_alias": "frs",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068057 | train |
v1 | Sensor network script:
Node: humidity | code: ref | fields: level, value, ts, lat
Sensor: visibility | fields: lon, ts, depth, unit
Task: Retrieve lon from humidity whose qc is found in visibility records where depth matches the outer node.
Script: | readings = fetch(
node=Node("humidity", code="ref"),
filter=set_member(
field="qc",
source=Probe("visibility", code="clr"),
match="depth",
),
output="lon",
) | {
"outer_table": "humidity",
"inner_table": "visibility",
"outer_alias": "ref",
"inner_alias": "clr",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068058 | train |
v3 | Sensor network script:
Node: temperature | code: prt | fields: unit, level, ts, reading
Sensor: drought_index | fields: level, ts, value, reading
Task: Fetch lon from temperature where reading is greater than the count of of reading in drought_index for matching qc.
Script: | readings = fetch(
node=Node("temperature", code="prt"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "reading",
source=Probe("drought_index", code="drt"),
match="qc"),
),
output="lon",
) | {
"outer_table": "temperature",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068059 | train |
v1 | Sensor network script:
Node: turbidity | code: mst | fields: type, lon, qc, depth
Sensor: lightning | fields: type, lat, lon, qc
Task: Retrieve reading from turbidity whose ts is found in lightning records where ts matches the outer node.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=set_member(
field="ts",
source=Probe("lightning", code="tnd"),
match="ts",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068060 | train |
v1 | Sensor network script:
Node: evaporation | code: ref | fields: reading, ts, lon, depth
Sensor: drought_index | fields: qc, lon, ts, depth
Task: Retrieve lon from evaporation whose ts is found in drought_index records where depth matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=set_member(
field="ts",
source=Probe("drought_index", code="drt"),
match="depth",
),
output="lon",
) | {
"outer_table": "evaporation",
"inner_table": "drought_index",
"outer_alias": "ref",
"inner_alias": "drt",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068061 | train |
v1 | Sensor network script:
Node: evaporation | code: clr | fields: unit, reading, level, qc
Sensor: air_quality | fields: value, reading, depth, unit
Task: Fetch depth from evaporation where ts exists in air_quality sensor data for the same depth.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=set_member(
field="ts",
source=Probe("air_quality", code="prt"),
match="depth",
),
output="depth",
) | {
"outer_table": "evaporation",
"inner_table": "air_quality",
"outer_alias": "clr",
"inner_alias": "prt",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068062 | train |
v1 | Sensor network script:
Node: snow_depth | code: prt | fields: type, qc, lat, reading
Sensor: wind_speed | fields: lon, depth, qc, level
Task: Get level from snow_depth where unit appears in wind_speed readings with matching depth.
Script: | readings = fetch(
node=Node("snow_depth", code="prt"),
filter=set_member(
field="unit",
source=Probe("wind_speed", code="gst"),
match="depth",
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "wind_speed",
"outer_alias": "prt",
"inner_alias": "gst",
"proj_col": "level",
"filter_col": "unit",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068063 | train |
v2 | Sensor network script:
Node: turbidity | code: prt | fields: lon, reading, type, unit
Sensor: rainfall | fields: unit, type, ts, qc
Task: Retrieve reading from turbidity that have at least one matching reading in rainfall sharing the same type.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="type",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "rainfall",
"outer_alias": "prt",
"inner_alias": "rnfl",
"proj_col": "reading",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068064 | train |
v1 | Sensor network script:
Node: wind_speed | code: mst | fields: level, reading, type, lon
Sensor: turbidity | fields: value, depth, lon, ts
Task: Retrieve reading from wind_speed whose type is found in turbidity records where ts matches the outer node.
Script: | readings = fetch(
node=Node("wind_speed", code="mst"),
filter=set_member(
field="type",
source=Probe("turbidity", code="ftu"),
match="ts",
),
output="reading",
) | {
"outer_table": "wind_speed",
"inner_table": "turbidity",
"outer_alias": "mst",
"inner_alias": "ftu",
"proj_col": "reading",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068065 | train |
v2 | Sensor network script:
Node: humidity | code: stn | fields: type, unit, ts, depth
Sensor: drought_index | fields: value, type, level, depth
Task: Get value from humidity where a corresponding entry exists in drought_index with the same ts.
Script: | readings = fetch(
node=Node("humidity", code="stn"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="ts",
),
output="value",
) | {
"outer_table": "humidity",
"inner_table": "drought_index",
"outer_alias": "stn",
"inner_alias": "drt",
"proj_col": "value",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068066 | train |
v2 | Sensor network script:
Node: frost | code: gst | fields: level, reading, depth, unit
Sensor: uv_index | fields: type, ts, value, depth
Task: Get lon from frost where a corresponding entry exists in uv_index with the same type.
Script: | readings = fetch(
node=Node("frost", code="gst"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="type",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "lon",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068067 | train |
v3 | Sensor network script:
Node: snow_depth | code: thr | fields: level, qc, unit, value
Sensor: humidity | fields: qc, ts, value, unit
Task: Fetch value from snow_depth where depth is greater than the average of reading in humidity for matching type.
Script: | readings = fetch(
node=Node("snow_depth", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("humidity", code="hgr"),
match="type"),
),
output="value",
) | {
"outer_table": "snow_depth",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068068 | train |
v3 | Sensor network script:
Node: turbidity | code: gst | fields: lat, type, lon, value
Sensor: uv_index | fields: lat, level, unit, depth
Task: Retrieve lat from turbidity with reading above the COUNT(value) of uv_index readings sharing the same qc.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("uv_index", code="flx"),
match="qc"),
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068069 | train |
v2 | Sensor network script:
Node: turbidity | code: ref | fields: level, qc, unit, ts
Sensor: lightning | fields: depth, type, unit, qc
Task: Get depth from turbidity where a corresponding entry exists in lightning with the same unit.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="unit",
),
output="depth",
) | {
"outer_table": "turbidity",
"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_068070 | train |
v2 | Sensor network script:
Node: air_quality | code: thr | fields: qc, reading, lon, lat
Sensor: soil_moisture | fields: unit, type, lat, reading
Task: Fetch lat from air_quality that have at least one corresponding soil_moisture measurement for the same ts.
Script: | readings = fetch(
node=Node("air_quality", code="thr"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="ts",
),
output="lat",
) | {
"outer_table": "air_quality",
"inner_table": "soil_moisture",
"outer_alias": "thr",
"inner_alias": "grvl",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068071 | train |
v3 | Sensor network script:
Node: humidity | code: clr | fields: unit, qc, type, level
Sensor: dew_point | fields: level, depth, type, ts
Task: Fetch value from humidity where depth is greater than the maximum of value in dew_point for matching ts.
Script: | readings = fetch(
node=Node("humidity", code="clr"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "value",
source=Probe("dew_point", code="cnd"),
match="ts"),
),
output="value",
) | {
"outer_table": "humidity",
"inner_table": "dew_point",
"outer_alias": "clr",
"inner_alias": "cnd",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068072 | train |
v1 | Sensor network script:
Node: frost | code: clr | fields: lat, lon, ts, reading
Sensor: dew_point | fields: unit, level, depth, reading
Task: Get lon from frost where type appears in dew_point readings with matching ts.
Script: | readings = fetch(
node=Node("frost", code="clr"),
filter=set_member(
field="type",
source=Probe("dew_point", code="cnd"),
match="ts",
),
output="lon",
) | {
"outer_table": "frost",
"inner_table": "dew_point",
"outer_alias": "clr",
"inner_alias": "cnd",
"proj_col": "lon",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068073 | train |
v1 | Sensor network script:
Node: turbidity | code: ref | fields: ts, qc, type, level
Sensor: pressure | fields: lon, reading, ts, lat
Task: Retrieve lon from turbidity whose qc is found in pressure records where ts matches the outer node.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=set_member(
field="qc",
source=Probe("pressure", code="mbl"),
match="ts",
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "pressure",
"outer_alias": "ref",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068074 | train |
v2 | Sensor network script:
Node: evaporation | code: stn | fields: reading, ts, type, lon
Sensor: pressure | fields: level, lat, depth, qc
Task: Fetch level from evaporation that have at least one corresponding pressure measurement for the same ts.
Script: | readings = fetch(
node=Node("evaporation", code="stn"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="ts",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "pressure",
"outer_alias": "stn",
"inner_alias": "mbl",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068075 | train |
v1 | Sensor network script:
Node: frost | code: prt | fields: unit, type, level, lat
Sensor: uv_index | fields: type, reading, level, value
Task: Get reading from frost where depth appears in uv_index readings with matching unit.
Script: | readings = fetch(
node=Node("frost", code="prt"),
filter=set_member(
field="depth",
source=Probe("uv_index", code="flx"),
match="unit",
),
output="reading",
) | {
"outer_table": "frost",
"inner_table": "uv_index",
"outer_alias": "prt",
"inner_alias": "flx",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068076 | train |
v1 | Sensor network script:
Node: turbidity | code: mst | fields: value, type, lon, depth
Sensor: evaporation | fields: type, value, lon, ts
Task: Fetch lat from turbidity where qc exists in evaporation sensor data for the same type.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=set_member(
field="qc",
source=Probe("evaporation", code="evp"),
match="type",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "evaporation",
"outer_alias": "mst",
"inner_alias": "evp",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068077 | train |
v3 | Sensor network script:
Node: humidity | code: mst | fields: level, value, depth, reading
Sensor: frost | fields: unit, reading, type, value
Task: Fetch lat from humidity where depth is greater than the count of of depth in frost for matching type.
Script: | readings = fetch(
node=Node("humidity", code="mst"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "depth",
source=Probe("frost", code="frs"),
match="type"),
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "frost",
"outer_alias": "mst",
"inner_alias": "frs",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "type",
"correlated_ref": "mst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068078 | train |
v1 | Sensor network script:
Node: dew_point | code: ref | fields: depth, qc, value, lon
Sensor: snow_depth | fields: lon, lat, level, depth
Task: Get lat from dew_point where depth appears in snow_depth readings with matching qc.
Script: | readings = fetch(
node=Node("dew_point", code="ref"),
filter=set_member(
field="depth",
source=Probe("snow_depth", code="snw"),
match="qc",
),
output="lat",
) | {
"outer_table": "dew_point",
"inner_table": "snow_depth",
"outer_alias": "ref",
"inner_alias": "snw",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068079 | train |
v2 | Sensor network script:
Node: frost | code: gst | fields: lon, reading, depth, qc
Sensor: rainfall | fields: type, ts, value, depth
Task: Get lat from frost where a corresponding entry exists in rainfall with the same unit.
Script: | readings = fetch(
node=Node("frost", code="gst"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="unit",
),
output="lat",
) | {
"outer_table": "frost",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "rnfl",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068080 | train |
v2 | Sensor network script:
Node: visibility | code: ref | fields: ts, level, lon, lat
Sensor: cloud_cover | fields: lon, unit, reading, qc
Task: Get level from visibility where a corresponding entry exists in cloud_cover with the same type.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "level",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068081 | train |
v1 | Sensor network script:
Node: drought_index | code: thr | fields: reading, depth, unit, lat
Sensor: dew_point | fields: depth, lat, qc, type
Task: Fetch depth from drought_index where depth exists in dew_point sensor data for the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="thr"),
filter=set_member(
field="depth",
source=Probe("dew_point", code="cnd"),
match="ts",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068082 | train |
v3 | Sensor network script:
Node: rainfall | code: gst | fields: reading, type, depth, qc
Sensor: temperature | fields: value, level, qc, ts
Task: Get lon from rainfall where depth exceeds the count of depth from temperature for the same unit.
Script: | readings = fetch(
node=Node("rainfall", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "depth",
source=Probe("temperature", code="thr"),
match="unit"),
),
output="lon",
) | {
"outer_table": "rainfall",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068083 | train |
v3 | Sensor network script:
Node: lightning | code: stn | fields: level, ts, depth, reading
Sensor: sunlight | fields: reading, unit, qc, level
Task: Fetch value from lightning where depth is greater than the minimum of value in sunlight for matching depth.
Script: | readings = fetch(
node=Node("lightning", code="stn"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "value",
source=Probe("sunlight", code="brt"),
match="depth"),
),
output="value",
) | {
"outer_table": "lightning",
"inner_table": "sunlight",
"outer_alias": "stn",
"inner_alias": "brt",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068084 | train |
v1 | Sensor network script:
Node: uv_index | code: thr | fields: value, ts, lon, type
Sensor: soil_moisture | fields: level, ts, qc, unit
Task: Retrieve value from uv_index whose ts is found in soil_moisture records where qc matches the outer node.
Script: | readings = fetch(
node=Node("uv_index", code="thr"),
filter=set_member(
field="ts",
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="value",
) | {
"outer_table": "uv_index",
"inner_table": "soil_moisture",
"outer_alias": "thr",
"inner_alias": "grvl",
"proj_col": "value",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068085 | train |
v3 | Sensor network script:
Node: rainfall | code: ref | fields: reading, type, depth, unit
Sensor: snow_depth | fields: unit, value, reading, ts
Task: Fetch depth from rainfall where reading is greater than the count of of depth in snow_depth for matching depth.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "depth",
source=Probe("snow_depth", code="snw"),
match="depth"),
),
output="depth",
) | {
"outer_table": "rainfall",
"inner_table": "snow_depth",
"outer_alias": "ref",
"inner_alias": "snw",
"proj_col": "depth",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068086 | train |
v3 | Sensor network script:
Node: sunlight | code: hub | fields: lon, level, reading, value
Sensor: air_quality | fields: ts, lon, type, level
Task: Fetch lon from sunlight where value is greater than the minimum of value in air_quality for matching unit.
Script: | readings = fetch(
node=Node("sunlight", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "value",
source=Probe("air_quality", code="prt"),
match="unit"),
),
output="lon",
) | {
"outer_table": "sunlight",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068087 | train |
v2 | Sensor network script:
Node: cloud_cover | code: stn | fields: value, depth, ts, type
Sensor: uv_index | fields: qc, ts, lon, unit
Task: Retrieve depth from cloud_cover that have at least one matching reading in uv_index sharing the same type.
Script: | readings = fetch(
node=Node("cloud_cover", code="stn"),
filter=has_match(
source=Probe("uv_index", code="flx"),
match="type",
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "uv_index",
"outer_alias": "stn",
"inner_alias": "flx",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068088 | train |
v2 | Sensor network script:
Node: humidity | code: hub | fields: reading, depth, qc, type
Sensor: rainfall | fields: type, lat, qc, level
Task: Fetch lat from humidity that have at least one corresponding rainfall measurement for the same qc.
Script: | readings = fetch(
node=Node("humidity", code="hub"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "rainfall",
"outer_alias": "hub",
"inner_alias": "rnfl",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068089 | train |
v1 | Sensor network script:
Node: evaporation | code: clr | fields: unit, lon, level, value
Sensor: sunlight | fields: reading, ts, qc, lon
Task: Retrieve lon from evaporation whose depth is found in sunlight records where unit matches the outer node.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=set_member(
field="depth",
source=Probe("sunlight", code="brt"),
match="unit",
),
output="lon",
) | {
"outer_table": "evaporation",
"inner_table": "sunlight",
"outer_alias": "clr",
"inner_alias": "brt",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068090 | train |
v3 | Sensor network script:
Node: turbidity | code: gst | fields: lon, reading, type, unit
Sensor: frost | fields: level, qc, ts, lon
Task: Get value from turbidity where depth exceeds the count of depth from frost for the same qc.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "depth",
source=Probe("frost", code="frs"),
match="qc"),
),
output="value",
) | {
"outer_table": "turbidity",
"inner_table": "frost",
"outer_alias": "gst",
"inner_alias": "frs",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068091 | train |
v3 | Sensor network script:
Node: evaporation | code: ref | fields: lat, lon, unit, level
Sensor: wind_speed | fields: unit, qc, depth, reading
Task: Get lat from evaporation where depth exceeds the total depth from wind_speed for the same unit.
Script: | readings = fetch(
node=Node("evaporation", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "depth",
source=Probe("wind_speed", code="gst"),
match="unit"),
),
output="lat",
) | {
"outer_table": "evaporation",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068092 | train |
v3 | Sensor network script:
Node: uv_index | code: gst | fields: unit, qc, value, level
Sensor: visibility | fields: reading, unit, value, lon
Task: Fetch lat from uv_index where value is greater than the total of value in visibility for matching ts.
Script: | readings = fetch(
node=Node("uv_index", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "value",
source=Probe("visibility", code="clr"),
match="ts"),
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "visibility",
"outer_alias": "gst",
"inner_alias": "clr",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068093 | train |
v3 | Sensor network script:
Node: air_quality | code: ref | fields: value, reading, lat, qc
Sensor: sunlight | fields: level, type, ts, depth
Task: Retrieve level from air_quality with value above the MAX(value) of sunlight readings sharing the same unit.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "value",
source=Probe("sunlight", code="brt"),
match="unit"),
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"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_068094 | train |
v1 | Sensor network script:
Node: uv_index | code: clr | fields: lat, reading, level, value
Sensor: air_quality | fields: value, ts, depth, qc
Task: Get lat from uv_index where type appears in air_quality readings with matching ts.
Script: | readings = fetch(
node=Node("uv_index", code="clr"),
filter=set_member(
field="type",
source=Probe("air_quality", code="prt"),
match="ts",
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "air_quality",
"outer_alias": "clr",
"inner_alias": "prt",
"proj_col": "lat",
"filter_col": "type",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068095 | train |
v3 | Sensor network script:
Node: turbidity | code: ref | fields: level, type, reading, qc
Sensor: uv_index | fields: lat, reading, value, type
Task: Get reading from turbidity where depth exceeds the minimum reading from uv_index for the same ts.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("MIN", "reading",
source=Probe("uv_index", code="flx"),
match="ts"),
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "uv_index",
"outer_alias": "ref",
"inner_alias": "flx",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068096 | train |
v2 | Sensor network script:
Node: air_quality | code: ref | fields: unit, qc, level, lat
Sensor: sunlight | fields: lat, reading, lon, value
Task: Fetch level from air_quality that have at least one corresponding sunlight measurement for the same depth.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="depth",
),
output="level",
) | {
"outer_table": "air_quality",
"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_068097 | train |
v1 | Sensor network script:
Node: humidity | code: thr | fields: ts, unit, lon, depth
Sensor: visibility | fields: type, value, lon, reading
Task: Get level from humidity where ts appears in visibility readings with matching qc.
Script: | readings = fetch(
node=Node("humidity", code="thr"),
filter=set_member(
field="ts",
source=Probe("visibility", code="clr"),
match="qc",
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "visibility",
"outer_alias": "thr",
"inner_alias": "clr",
"proj_col": "level",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_068098 | train |
v1 | Sensor network script:
Node: drought_index | code: thr | fields: lon, value, level, qc
Sensor: turbidity | fields: level, depth, unit, type
Task: Get depth from drought_index where ts appears in turbidity readings with matching type.
Script: | readings = fetch(
node=Node("drought_index", code="thr"),
filter=set_member(
field="ts",
source=Probe("turbidity", code="ftu"),
match="type",
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "turbidity",
"outer_alias": "thr",
"inner_alias": "ftu",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_068099 | train |
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