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: snow_depth | code: hub | fields: ts, qc, lat, level
Sensor: frost | fields: level, type, qc, value
Task: Retrieve lon from snow_depth that have at least one matching reading in frost sharing the same depth.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=has_match(
source=Probe("frost", code="frs"),
match="depth",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "frost",
"outer_alias": "hub",
"inner_alias": "frs",
"proj_col": "lon",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002000 | train |
v2 | Sensor network script:
Node: dew_point | code: clr | fields: reading, depth, value, unit
Sensor: soil_moisture | fields: type, reading, lon, value
Task: Get reading from dew_point where a corresponding entry exists in soil_moisture with the same qc.
Script: | readings = fetch(
node=Node("dew_point", code="clr"),
filter=has_match(
source=Probe("soil_moisture", code="grvl"),
match="qc",
),
output="reading",
) | {
"outer_table": "dew_point",
"inner_table": "soil_moisture",
"outer_alias": "clr",
"inner_alias": "grvl",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002001 | train |
v2 | Sensor network script:
Node: visibility | code: stn | fields: depth, lat, qc, type
Sensor: cloud_cover | fields: depth, lat, reading, qc
Task: Retrieve lon from visibility that have at least one matching reading in cloud_cover sharing the same unit.
Script: | readings = fetch(
node=Node("visibility", code="stn"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="unit",
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "cloud_cover",
"outer_alias": "stn",
"inner_alias": "nbl",
"proj_col": "lon",
"join_col": "unit",
"correlated_ref": "stn.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002002 | train |
v3 | Sensor network script:
Node: cloud_cover | code: prt | fields: unit, type, lat, ts
Sensor: snow_depth | fields: lon, type, depth, reading
Task: Get depth from cloud_cover where value exceeds the average depth from snow_depth for the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("snow_depth", code="snw"),
match="unit"),
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "snow_depth",
"outer_alias": "prt",
"inner_alias": "snw",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002003 | train |
v3 | Sensor network script:
Node: visibility | code: ref | fields: value, ts, depth, unit
Sensor: air_quality | fields: reading, lon, value, unit
Task: Fetch depth from visibility where value is greater than the total of value in air_quality for matching unit.
Script: | readings = fetch(
node=Node("visibility", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "value",
source=Probe("air_quality", code="prt"),
match="unit"),
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "air_quality",
"outer_alias": "ref",
"inner_alias": "prt",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002004 | train |
v2 | Sensor network script:
Node: humidity | code: thr | fields: lon, depth, level, value
Sensor: sunlight | fields: lon, type, qc, value
Task: Fetch depth from humidity that have at least one corresponding sunlight measurement for the same depth.
Script: | readings = fetch(
node=Node("humidity", code="thr"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="depth",
),
output="depth",
) | {
"outer_table": "humidity",
"inner_table": "sunlight",
"outer_alias": "thr",
"inner_alias": "brt",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002005 | train |
v1 | Sensor network script:
Node: humidity | code: ref | fields: ts, reading, lon, unit
Sensor: dew_point | fields: lon, level, qc, lat
Task: Fetch lon from humidity where type exists in dew_point sensor data for the same qc.
Script: | readings = fetch(
node=Node("humidity", code="ref"),
filter=set_member(
field="type",
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="lon",
) | {
"outer_table": "humidity",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "lon",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002006 | train |
v3 | Sensor network script:
Node: uv_index | code: ref | fields: qc, depth, level, lat
Sensor: humidity | fields: depth, reading, ts, level
Task: Retrieve lon from uv_index with reading above the MAX(value) of humidity readings sharing the same depth.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=exceeds(
field="reading",
threshold=aggregate("MAX", "value",
source=Probe("humidity", code="hgr"),
match="depth"),
),
output="lon",
) | {
"outer_table": "uv_index",
"inner_table": "humidity",
"outer_alias": "ref",
"inner_alias": "hgr",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "ref.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002007 | train |
v1 | Sensor network script:
Node: soil_moisture | code: mst | fields: lon, lat, type, ts
Sensor: temperature | fields: type, qc, lon, value
Task: Fetch lat from soil_moisture where qc exists in temperature sensor data for the same unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="mst"),
filter=set_member(
field="qc",
source=Probe("temperature", code="thr"),
match="unit",
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "temperature",
"outer_alias": "mst",
"inner_alias": "thr",
"proj_col": "lat",
"filter_col": "qc",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002008 | train |
v3 | Sensor network script:
Node: lightning | code: hub | fields: reading, value, lon, unit
Sensor: cloud_cover | fields: value, reading, qc, ts
Task: Retrieve reading from lightning with value above the AVG(depth) of cloud_cover readings sharing the same unit.
Script: | readings = fetch(
node=Node("lightning", code="hub"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("cloud_cover", code="nbl"),
match="unit"),
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "cloud_cover",
"outer_alias": "hub",
"inner_alias": "nbl",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "hub.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002009 | train |
v2 | Sensor network script:
Node: soil_moisture | code: thr | fields: reading, unit, lon, lat
Sensor: air_quality | fields: qc, lon, unit, lat
Task: Fetch depth from soil_moisture that have at least one corresponding air_quality measurement for the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="thr"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="type",
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "air_quality",
"outer_alias": "thr",
"inner_alias": "prt",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002010 | train |
v3 | Sensor network script:
Node: turbidity | code: prt | fields: lat, depth, unit, qc
Sensor: visibility | fields: value, reading, unit, qc
Task: Retrieve lon from turbidity with value above the MIN(value) of visibility readings sharing the same type.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("MIN", "value",
source=Probe("visibility", code="clr"),
match="type"),
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "visibility",
"outer_alias": "prt",
"inner_alias": "clr",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002011 | train |
v3 | Sensor network script:
Node: snow_depth | code: prt | fields: unit, reading, depth, type
Sensor: sunlight | fields: lat, ts, depth, unit
Task: Get level from snow_depth where depth exceeds the average depth from sunlight for the same type.
Script: | readings = fetch(
node=Node("snow_depth", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "depth",
source=Probe("sunlight", code="brt"),
match="type"),
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "sunlight",
"outer_alias": "prt",
"inner_alias": "brt",
"proj_col": "level",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "prt.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002012 | train |
v2 | Sensor network script:
Node: soil_moisture | code: ref | fields: value, reading, unit, level
Sensor: dew_point | fields: level, reading, type, lon
Task: Retrieve value from soil_moisture that have at least one matching reading in dew_point sharing the same unit.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="unit",
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "dew_point",
"outer_alias": "ref",
"inner_alias": "cnd",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002013 | train |
v1 | Sensor network script:
Node: turbidity | code: mst | fields: unit, value, lon, ts
Sensor: temperature | fields: level, reading, lon, lat
Task: Get lat from turbidity where type appears in temperature readings with matching depth.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=set_member(
field="type",
source=Probe("temperature", code="thr"),
match="depth",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "temperature",
"outer_alias": "mst",
"inner_alias": "thr",
"proj_col": "lat",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "mst.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002014 | train |
v1 | Sensor network script:
Node: evaporation | code: clr | fields: type, ts, lat, reading
Sensor: wind_speed | fields: ts, depth, value, lat
Task: Get reading from evaporation where ts appears in wind_speed readings with matching qc.
Script: | readings = fetch(
node=Node("evaporation", code="clr"),
filter=set_member(
field="ts",
source=Probe("wind_speed", code="gst"),
match="qc",
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "wind_speed",
"outer_alias": "clr",
"inner_alias": "gst",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002015 | train |
v2 | Sensor network script:
Node: visibility | code: thr | fields: lat, ts, lon, depth
Sensor: dew_point | fields: qc, value, lon, ts
Task: Get depth from visibility where a corresponding entry exists in dew_point with the same depth.
Script: | readings = fetch(
node=Node("visibility", code="thr"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="depth",
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "dew_point",
"outer_alias": "thr",
"inner_alias": "cnd",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002016 | train |
v1 | Sensor network script:
Node: sunlight | code: stn | fields: level, lat, value, type
Sensor: dew_point | fields: reading, unit, lat, depth
Task: Get reading from sunlight where qc appears in dew_point readings with matching ts.
Script: | readings = fetch(
node=Node("sunlight", code="stn"),
filter=set_member(
field="qc",
source=Probe("dew_point", code="cnd"),
match="ts",
),
output="reading",
) | {
"outer_table": "sunlight",
"inner_table": "dew_point",
"outer_alias": "stn",
"inner_alias": "cnd",
"proj_col": "reading",
"filter_col": "qc",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002017 | train |
v3 | Sensor network script:
Node: visibility | code: prt | fields: lat, ts, value, qc
Sensor: pressure | fields: lon, type, level, unit
Task: Get lon from visibility where value exceeds the total value from pressure for the same ts.
Script: | readings = fetch(
node=Node("visibility", code="prt"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "value",
source=Probe("pressure", code="mbl"),
match="ts"),
),
output="lon",
) | {
"outer_table": "visibility",
"inner_table": "pressure",
"outer_alias": "prt",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002018 | train |
v1 | Sensor network script:
Node: turbidity | code: prt | fields: level, qc, lat, type
Sensor: evaporation | fields: lon, lat, type, reading
Task: Get reading from turbidity where depth appears in evaporation readings with matching qc.
Script: | readings = fetch(
node=Node("turbidity", code="prt"),
filter=set_member(
field="depth",
source=Probe("evaporation", code="evp"),
match="qc",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "evaporation",
"outer_alias": "prt",
"inner_alias": "evp",
"proj_col": "reading",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002019 | train |
v1 | Sensor network script:
Node: evaporation | code: gst | fields: ts, type, level, value
Sensor: sunlight | fields: type, qc, lat, lon
Task: Fetch level from evaporation where ts exists in sunlight sensor data for the same unit.
Script: | readings = fetch(
node=Node("evaporation", code="gst"),
filter=set_member(
field="ts",
source=Probe("sunlight", code="brt"),
match="unit",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "level",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002020 | train |
v1 | Sensor network script:
Node: dew_point | code: stn | fields: level, value, ts, depth
Sensor: lightning | fields: level, value, qc, lon
Task: Get depth from dew_point where qc appears in lightning readings with matching qc.
Script: | readings = fetch(
node=Node("dew_point", code="stn"),
filter=set_member(
field="qc",
source=Probe("lightning", code="tnd"),
match="qc",
),
output="depth",
) | {
"outer_table": "dew_point",
"inner_table": "lightning",
"outer_alias": "stn",
"inner_alias": "tnd",
"proj_col": "depth",
"filter_col": "qc",
"join_col": "qc",
"correlated_ref": "stn.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002021 | train |
v3 | Sensor network script:
Node: drought_index | code: hub | fields: qc, depth, lat, type
Sensor: lightning | fields: type, unit, depth, lon
Task: Fetch reading from drought_index where reading is greater than the average of reading in lightning for matching ts.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "reading",
source=Probe("lightning", code="tnd"),
match="ts"),
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "tnd",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002022 | train |
v2 | Sensor network script:
Node: dew_point | code: stn | fields: level, unit, ts, value
Sensor: sunlight | fields: qc, value, depth, type
Task: Get depth from dew_point where a corresponding entry exists in sunlight with the same depth.
Script: | readings = fetch(
node=Node("dew_point", code="stn"),
filter=has_match(
source=Probe("sunlight", code="brt"),
match="depth",
),
output="depth",
) | {
"outer_table": "dew_point",
"inner_table": "sunlight",
"outer_alias": "stn",
"inner_alias": "brt",
"proj_col": "depth",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002023 | train |
v1 | Sensor network script:
Node: soil_moisture | code: clr | fields: ts, qc, type, lon
Sensor: evaporation | fields: type, value, lat, level
Task: Fetch lat from soil_moisture where depth exists in evaporation sensor data for the same type.
Script: | readings = fetch(
node=Node("soil_moisture", code="clr"),
filter=set_member(
field="depth",
source=Probe("evaporation", code="evp"),
match="type",
),
output="lat",
) | {
"outer_table": "soil_moisture",
"inner_table": "evaporation",
"outer_alias": "clr",
"inner_alias": "evp",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002024 | train |
v2 | Sensor network script:
Node: cloud_cover | code: prt | fields: lon, reading, qc, level
Sensor: dew_point | fields: lon, unit, level, type
Task: Fetch level from cloud_cover that have at least one corresponding dew_point measurement for the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="prt"),
filter=has_match(
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="level",
) | {
"outer_table": "cloud_cover",
"inner_table": "dew_point",
"outer_alias": "prt",
"inner_alias": "cnd",
"proj_col": "level",
"join_col": "qc",
"correlated_ref": "prt.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002025 | train |
v2 | Sensor network script:
Node: rainfall | code: prt | fields: reading, value, qc, level
Sensor: turbidity | fields: lat, qc, value, ts
Task: Fetch reading from rainfall that have at least one corresponding turbidity measurement for the same ts.
Script: | readings = fetch(
node=Node("rainfall", code="prt"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="ts",
),
output="reading",
) | {
"outer_table": "rainfall",
"inner_table": "turbidity",
"outer_alias": "prt",
"inner_alias": "ftu",
"proj_col": "reading",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002026 | train |
v2 | Sensor network script:
Node: visibility | code: clr | fields: unit, ts, reading, type
Sensor: cloud_cover | fields: type, ts, value, unit
Task: Retrieve depth from visibility that have at least one matching reading in cloud_cover sharing the same type.
Script: | readings = fetch(
node=Node("visibility", code="clr"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="depth",
) | {
"outer_table": "visibility",
"inner_table": "cloud_cover",
"outer_alias": "clr",
"inner_alias": "nbl",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002027 | train |
v1 | Sensor network script:
Node: drought_index | code: gst | fields: lon, depth, ts, unit
Sensor: temperature | fields: depth, level, ts, lat
Task: Retrieve value from drought_index whose depth is found in temperature records where qc matches the outer node.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=set_member(
field="depth",
source=Probe("temperature", code="thr"),
match="qc",
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "temperature",
"outer_alias": "gst",
"inner_alias": "thr",
"proj_col": "value",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002028 | train |
v2 | Sensor network script:
Node: air_quality | code: gst | fields: type, lat, unit, ts
Sensor: evaporation | fields: lon, level, reading, lat
Task: Fetch level from air_quality that have at least one corresponding evaporation measurement for the same ts.
Script: | readings = fetch(
node=Node("air_quality", code="gst"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="ts",
),
output="level",
) | {
"outer_table": "air_quality",
"inner_table": "evaporation",
"outer_alias": "gst",
"inner_alias": "evp",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002029 | train |
v3 | Sensor network script:
Node: humidity | code: stn | fields: reading, lat, depth, level
Sensor: cloud_cover | fields: reading, qc, unit, lat
Task: Get level from humidity where reading exceeds the minimum value from cloud_cover for the same ts.
Script: | readings = fetch(
node=Node("humidity", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("MIN", "value",
source=Probe("cloud_cover", code="nbl"),
match="ts"),
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "cloud_cover",
"outer_alias": "stn",
"inner_alias": "nbl",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "MIN",
"join_col": "ts",
"correlated_ref": "stn.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002030 | train |
v2 | Sensor network script:
Node: air_quality | code: gst | fields: reading, lon, depth, ts
Sensor: drought_index | fields: reading, qc, lon, depth
Task: Get lat from air_quality where a corresponding entry exists in drought_index with the same ts.
Script: | readings = fetch(
node=Node("air_quality", code="gst"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="ts",
),
output="lat",
) | {
"outer_table": "air_quality",
"inner_table": "drought_index",
"outer_alias": "gst",
"inner_alias": "drt",
"proj_col": "lat",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002031 | train |
v2 | Sensor network script:
Node: evaporation | code: thr | fields: level, value, lon, reading
Sensor: air_quality | fields: lat, level, lon, type
Task: Get value from evaporation where a corresponding entry exists in air_quality with the same unit.
Script: | readings = fetch(
node=Node("evaporation", code="thr"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="unit",
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "air_quality",
"outer_alias": "thr",
"inner_alias": "prt",
"proj_col": "value",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002032 | train |
v2 | Sensor network script:
Node: dew_point | code: prt | fields: lat, qc, ts, lon
Sensor: humidity | fields: type, reading, qc, value
Task: Get lon from dew_point where a corresponding entry exists in humidity with the same depth.
Script: | readings = fetch(
node=Node("dew_point", code="prt"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="depth",
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "humidity",
"outer_alias": "prt",
"inner_alias": "hgr",
"proj_col": "lon",
"join_col": "depth",
"correlated_ref": "prt.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002033 | train |
v1 | Sensor network script:
Node: sunlight | code: hub | fields: depth, qc, lat, lon
Sensor: evaporation | fields: lon, qc, value, reading
Task: Fetch lon from sunlight where ts exists in evaporation sensor data for the same ts.
Script: | readings = fetch(
node=Node("sunlight", code="hub"),
filter=set_member(
field="ts",
source=Probe("evaporation", code="evp"),
match="ts",
),
output="lon",
) | {
"outer_table": "sunlight",
"inner_table": "evaporation",
"outer_alias": "hub",
"inner_alias": "evp",
"proj_col": "lon",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002034 | train |
v2 | Sensor network script:
Node: pressure | code: prt | fields: qc, depth, ts, unit
Sensor: drought_index | fields: lon, ts, unit, type
Task: Fetch level from pressure that have at least one corresponding drought_index measurement for the same ts.
Script: | readings = fetch(
node=Node("pressure", code="prt"),
filter=has_match(
source=Probe("drought_index", code="drt"),
match="ts",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "drought_index",
"outer_alias": "prt",
"inner_alias": "drt",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002035 | train |
v2 | Sensor network script:
Node: air_quality | code: thr | fields: qc, value, depth, reading
Sensor: lightning | fields: lon, depth, ts, value
Task: Get reading from air_quality where a corresponding entry exists in lightning with the same depth.
Script: | readings = fetch(
node=Node("air_quality", code="thr"),
filter=has_match(
source=Probe("lightning", code="tnd"),
match="depth",
),
output="reading",
) | {
"outer_table": "air_quality",
"inner_table": "lightning",
"outer_alias": "thr",
"inner_alias": "tnd",
"proj_col": "reading",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002036 | train |
v3 | Sensor network script:
Node: air_quality | code: ref | fields: reading, lon, ts, level
Sensor: evaporation | fields: lon, ts, type, qc
Task: Retrieve reading from air_quality with depth above the COUNT(depth) of evaporation readings sharing the same ts.
Script: | readings = fetch(
node=Node("air_quality", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "depth",
source=Probe("evaporation", code="evp"),
match="ts"),
),
output="reading",
) | {
"outer_table": "air_quality",
"inner_table": "evaporation",
"outer_alias": "ref",
"inner_alias": "evp",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002037 | train |
v2 | Sensor network script:
Node: dew_point | code: hub | fields: qc, unit, depth, reading
Sensor: humidity | fields: lat, depth, type, unit
Task: Get depth from dew_point where a corresponding entry exists in humidity with the same type.
Script: | readings = fetch(
node=Node("dew_point", code="hub"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="type",
),
output="depth",
) | {
"outer_table": "dew_point",
"inner_table": "humidity",
"outer_alias": "hub",
"inner_alias": "hgr",
"proj_col": "depth",
"join_col": "type",
"correlated_ref": "hub.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002038 | train |
v1 | Sensor network script:
Node: turbidity | code: clr | fields: reading, lat, ts, qc
Sensor: temperature | fields: depth, lon, ts, level
Task: Fetch lon from turbidity where qc exists in temperature sensor data for the same depth.
Script: | readings = fetch(
node=Node("turbidity", code="clr"),
filter=set_member(
field="qc",
source=Probe("temperature", code="thr"),
match="depth",
),
output="lon",
) | {
"outer_table": "turbidity",
"inner_table": "temperature",
"outer_alias": "clr",
"inner_alias": "thr",
"proj_col": "lon",
"filter_col": "qc",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002039 | train |
v3 | Sensor network script:
Node: air_quality | code: thr | fields: qc, type, depth, value
Sensor: uv_index | fields: lon, ts, type, qc
Task: Get reading from air_quality where value exceeds the average depth from uv_index for the same ts.
Script: | readings = fetch(
node=Node("air_quality", code="thr"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "depth",
source=Probe("uv_index", code="flx"),
match="ts"),
),
output="reading",
) | {
"outer_table": "air_quality",
"inner_table": "uv_index",
"outer_alias": "thr",
"inner_alias": "flx",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002040 | train |
v3 | Sensor network script:
Node: turbidity | code: ref | fields: depth, qc, reading, lat
Sensor: evaporation | fields: unit, depth, type, reading
Task: Retrieve depth from turbidity with value above the AVG(value) of evaporation readings sharing the same unit.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "value",
source=Probe("evaporation", code="evp"),
match="unit"),
),
output="depth",
) | {
"outer_table": "turbidity",
"inner_table": "evaporation",
"outer_alias": "ref",
"inner_alias": "evp",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002041 | train |
v2 | Sensor network script:
Node: frost | code: mst | fields: ts, type, lon, qc
Sensor: cloud_cover | fields: qc, type, level, unit
Task: Fetch level from frost that have at least one corresponding cloud_cover measurement for the same ts.
Script: | readings = fetch(
node=Node("frost", code="mst"),
filter=has_match(
source=Probe("cloud_cover", code="nbl"),
match="ts",
),
output="level",
) | {
"outer_table": "frost",
"inner_table": "cloud_cover",
"outer_alias": "mst",
"inner_alias": "nbl",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002042 | train |
v2 | Sensor network script:
Node: uv_index | code: stn | fields: qc, unit, value, ts
Sensor: temperature | fields: lat, level, type, qc
Task: Get level from uv_index where a corresponding entry exists in temperature with the same depth.
Script: | readings = fetch(
node=Node("uv_index", code="stn"),
filter=has_match(
source=Probe("temperature", code="thr"),
match="depth",
),
output="level",
) | {
"outer_table": "uv_index",
"inner_table": "temperature",
"outer_alias": "stn",
"inner_alias": "thr",
"proj_col": "level",
"join_col": "depth",
"correlated_ref": "stn.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002043 | train |
v3 | Sensor network script:
Node: sunlight | code: clr | fields: reading, qc, ts, level
Sensor: air_quality | fields: level, type, lon, depth
Task: Get reading from sunlight where value exceeds the maximum reading from air_quality for the same depth.
Script: | readings = fetch(
node=Node("sunlight", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("air_quality", code="prt"),
match="depth"),
),
output="reading",
) | {
"outer_table": "sunlight",
"inner_table": "air_quality",
"outer_alias": "clr",
"inner_alias": "prt",
"proj_col": "reading",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "clr.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002044 | train |
v3 | Sensor network script:
Node: air_quality | code: clr | fields: lon, qc, depth, reading
Sensor: turbidity | fields: type, reading, depth, level
Task: Get lat from air_quality where value exceeds the average reading from turbidity for the same qc.
Script: | readings = fetch(
node=Node("air_quality", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("AVG", "reading",
source=Probe("turbidity", code="ftu"),
match="qc"),
),
output="lat",
) | {
"outer_table": "air_quality",
"inner_table": "turbidity",
"outer_alias": "clr",
"inner_alias": "ftu",
"proj_col": "lat",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002045 | train |
v2 | Sensor network script:
Node: drought_index | code: clr | fields: qc, lon, type, reading
Sensor: wind_speed | fields: level, unit, ts, lat
Task: Retrieve level from drought_index that have at least one matching reading in wind_speed sharing the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="ts",
),
output="level",
) | {
"outer_table": "drought_index",
"inner_table": "wind_speed",
"outer_alias": "clr",
"inner_alias": "gst",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002046 | train |
v1 | Sensor network script:
Node: evaporation | code: gst | fields: lat, value, reading, level
Sensor: cloud_cover | fields: level, depth, type, reading
Task: Get level from evaporation where type appears in cloud_cover readings with matching depth.
Script: | readings = fetch(
node=Node("evaporation", code="gst"),
filter=set_member(
field="type",
source=Probe("cloud_cover", code="nbl"),
match="depth",
),
output="level",
) | {
"outer_table": "evaporation",
"inner_table": "cloud_cover",
"outer_alias": "gst",
"inner_alias": "nbl",
"proj_col": "level",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002047 | train |
v2 | Sensor network script:
Node: wind_speed | code: thr | fields: reading, lat, depth, unit
Sensor: visibility | fields: lon, level, ts, depth
Task: Retrieve lon from wind_speed that have at least one matching reading in visibility sharing the same unit.
Script: | readings = fetch(
node=Node("wind_speed", code="thr"),
filter=has_match(
source=Probe("visibility", code="clr"),
match="unit",
),
output="lon",
) | {
"outer_table": "wind_speed",
"inner_table": "visibility",
"outer_alias": "thr",
"inner_alias": "clr",
"proj_col": "lon",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002048 | train |
v2 | Sensor network script:
Node: pressure | code: gst | fields: level, lon, value, qc
Sensor: humidity | fields: ts, type, value, unit
Task: Get depth from pressure where a corresponding entry exists in humidity with the same qc.
Script: | readings = fetch(
node=Node("pressure", code="gst"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="qc",
),
output="depth",
) | {
"outer_table": "pressure",
"inner_table": "humidity",
"outer_alias": "gst",
"inner_alias": "hgr",
"proj_col": "depth",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002049 | train |
v2 | Sensor network script:
Node: turbidity | code: mst | fields: reading, lon, qc, unit
Sensor: evaporation | fields: depth, ts, reading, type
Task: Retrieve value from turbidity that have at least one matching reading in evaporation sharing the same qc.
Script: | readings = fetch(
node=Node("turbidity", code="mst"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="qc",
),
output="value",
) | {
"outer_table": "turbidity",
"inner_table": "evaporation",
"outer_alias": "mst",
"inner_alias": "evp",
"proj_col": "value",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002050 | train |
v1 | Sensor network script:
Node: humidity | code: gst | fields: type, qc, lon, value
Sensor: rainfall | fields: reading, qc, unit, lat
Task: Fetch depth from humidity where unit exists in rainfall sensor data for the same qc.
Script: | readings = fetch(
node=Node("humidity", code="gst"),
filter=set_member(
field="unit",
source=Probe("rainfall", code="rnfl"),
match="qc",
),
output="depth",
) | {
"outer_table": "humidity",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "rnfl",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002051 | train |
v2 | Sensor network script:
Node: cloud_cover | code: thr | fields: unit, ts, level, lon
Sensor: humidity | fields: depth, unit, ts, value
Task: Retrieve lat from cloud_cover that have at least one matching reading in humidity sharing the same unit.
Script: | readings = fetch(
node=Node("cloud_cover", code="thr"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="unit",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "humidity",
"outer_alias": "thr",
"inner_alias": "hgr",
"proj_col": "lat",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002052 | train |
v3 | Sensor network script:
Node: humidity | code: ref | fields: depth, ts, value, qc
Sensor: turbidity | fields: lat, type, unit, qc
Task: Retrieve lat from humidity with depth above the COUNT(reading) of turbidity readings sharing the same unit.
Script: | readings = fetch(
node=Node("humidity", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "reading",
source=Probe("turbidity", code="ftu"),
match="unit"),
),
output="lat",
) | {
"outer_table": "humidity",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "lat",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "ref.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002053 | train |
v3 | Sensor network script:
Node: sunlight | code: gst | fields: value, type, ts, unit
Sensor: air_quality | fields: lat, type, ts, lon
Task: Retrieve level from sunlight with reading above the AVG(value) of air_quality readings sharing the same unit.
Script: | readings = fetch(
node=Node("sunlight", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "value",
source=Probe("air_quality", code="prt"),
match="unit"),
),
output="level",
) | {
"outer_table": "sunlight",
"inner_table": "air_quality",
"outer_alias": "gst",
"inner_alias": "prt",
"proj_col": "level",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "unit",
"correlated_ref": "gst.unit",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002054 | train |
v2 | Sensor network script:
Node: cloud_cover | code: mst | fields: qc, reading, unit, depth
Sensor: evaporation | fields: lon, level, lat, type
Task: Get lat from cloud_cover where a corresponding entry exists in evaporation with the same qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="mst"),
filter=has_match(
source=Probe("evaporation", code="evp"),
match="qc",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "evaporation",
"outer_alias": "mst",
"inner_alias": "evp",
"proj_col": "lat",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002055 | train |
v1 | Sensor network script:
Node: pressure | code: gst | fields: unit, reading, ts, type
Sensor: lightning | fields: value, lat, unit, lon
Task: Fetch lat from pressure where depth exists in lightning sensor data for the same type.
Script: | readings = fetch(
node=Node("pressure", code="gst"),
filter=set_member(
field="depth",
source=Probe("lightning", code="tnd"),
match="type",
),
output="lat",
) | {
"outer_table": "pressure",
"inner_table": "lightning",
"outer_alias": "gst",
"inner_alias": "tnd",
"proj_col": "lat",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "gst.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002056 | train |
v2 | Sensor network script:
Node: wind_speed | code: thr | fields: value, ts, qc, depth
Sensor: frost | fields: reading, level, unit, lat
Task: Fetch lon from wind_speed that have at least one corresponding frost measurement for the same type.
Script: | readings = fetch(
node=Node("wind_speed", code="thr"),
filter=has_match(
source=Probe("frost", code="frs"),
match="type",
),
output="lon",
) | {
"outer_table": "wind_speed",
"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_002057 | train |
v1 | Sensor network script:
Node: cloud_cover | code: hub | fields: depth, value, lat, ts
Sensor: lightning | fields: qc, unit, level, value
Task: Fetch lat from cloud_cover where ts exists in lightning sensor data for the same ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="hub"),
filter=set_member(
field="ts",
source=Probe("lightning", code="tnd"),
match="ts",
),
output="lat",
) | {
"outer_table": "cloud_cover",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "tnd",
"proj_col": "lat",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002058 | train |
v3 | Sensor network script:
Node: evaporation | code: hub | fields: ts, reading, value, lat
Sensor: wind_speed | fields: lon, type, reading, level
Task: Fetch value from evaporation where depth is greater than the average of reading in wind_speed for matching ts.
Script: | readings = fetch(
node=Node("evaporation", code="hub"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("wind_speed", code="gst"),
match="ts"),
),
output="value",
) | {
"outer_table": "evaporation",
"inner_table": "wind_speed",
"outer_alias": "hub",
"inner_alias": "gst",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002059 | train |
v3 | Sensor network script:
Node: dew_point | code: stn | fields: level, value, reading, qc
Sensor: soil_moisture | fields: lon, unit, type, level
Task: Get lon from dew_point where reading exceeds the average value from soil_moisture for the same type.
Script: | readings = fetch(
node=Node("dew_point", code="stn"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "value",
source=Probe("soil_moisture", code="grvl"),
match="type"),
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "soil_moisture",
"outer_alias": "stn",
"inner_alias": "grvl",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002060 | train |
v1 | Sensor network script:
Node: cloud_cover | code: mst | fields: lon, value, level, depth
Sensor: humidity | fields: level, depth, qc, lon
Task: Fetch depth from cloud_cover where ts exists in humidity sensor data for the same ts.
Script: | readings = fetch(
node=Node("cloud_cover", code="mst"),
filter=set_member(
field="ts",
source=Probe("humidity", code="hgr"),
match="ts",
),
output="depth",
) | {
"outer_table": "cloud_cover",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002061 | train |
v3 | Sensor network script:
Node: air_quality | code: prt | fields: type, level, qc, reading
Sensor: rainfall | fields: unit, value, lon, reading
Task: Fetch value from air_quality where depth is greater than the average of value in rainfall for matching ts.
Script: | readings = fetch(
node=Node("air_quality", code="prt"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "value",
source=Probe("rainfall", code="rnfl"),
match="ts"),
),
output="value",
) | {
"outer_table": "air_quality",
"inner_table": "rainfall",
"outer_alias": "prt",
"inner_alias": "rnfl",
"proj_col": "value",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "prt.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002062 | train |
v2 | Sensor network script:
Node: pressure | code: clr | fields: qc, lat, level, reading
Sensor: rainfall | fields: lat, value, reading, depth
Task: Get level from pressure where a corresponding entry exists in rainfall with the same unit.
Script: | readings = fetch(
node=Node("pressure", code="clr"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="unit",
),
output="level",
) | {
"outer_table": "pressure",
"inner_table": "rainfall",
"outer_alias": "clr",
"inner_alias": "rnfl",
"proj_col": "level",
"join_col": "unit",
"correlated_ref": "clr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002063 | train |
v3 | Sensor network script:
Node: drought_index | code: mst | fields: value, ts, type, level
Sensor: dew_point | fields: value, reading, ts, qc
Task: Fetch reading from drought_index where depth is greater than the count of of depth in dew_point for matching unit.
Script: | readings = fetch(
node=Node("drought_index", code="mst"),
filter=exceeds(
field="depth",
threshold=aggregate("COUNT", "depth",
source=Probe("dew_point", code="cnd"),
match="unit"),
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "dew_point",
"outer_alias": "mst",
"inner_alias": "cnd",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002064 | train |
v1 | Sensor network script:
Node: soil_moisture | code: ref | fields: lon, qc, ts, lat
Sensor: humidity | fields: depth, qc, reading, ts
Task: Retrieve depth from soil_moisture whose unit is found in humidity records where type matches the outer node.
Script: | readings = fetch(
node=Node("soil_moisture", code="ref"),
filter=set_member(
field="unit",
source=Probe("humidity", code="hgr"),
match="type",
),
output="depth",
) | {
"outer_table": "soil_moisture",
"inner_table": "humidity",
"outer_alias": "ref",
"inner_alias": "hgr",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002065 | train |
v1 | Sensor network script:
Node: rainfall | code: ref | fields: type, unit, ts, depth
Sensor: lightning | fields: depth, ts, value, lat
Task: Fetch lon from rainfall where depth exists in lightning sensor data for the same qc.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=set_member(
field="depth",
source=Probe("lightning", code="tnd"),
match="qc",
),
output="lon",
) | {
"outer_table": "rainfall",
"inner_table": "lightning",
"outer_alias": "ref",
"inner_alias": "tnd",
"proj_col": "lon",
"filter_col": "depth",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002066 | train |
v1 | Sensor network script:
Node: visibility | code: stn | fields: ts, unit, value, qc
Sensor: temperature | fields: qc, ts, type, value
Task: Retrieve level from visibility whose type is found in temperature records where type matches the outer node.
Script: | readings = fetch(
node=Node("visibility", code="stn"),
filter=set_member(
field="type",
source=Probe("temperature", code="thr"),
match="type",
),
output="level",
) | {
"outer_table": "visibility",
"inner_table": "temperature",
"outer_alias": "stn",
"inner_alias": "thr",
"proj_col": "level",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "stn.type",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002067 | train |
v1 | Sensor network script:
Node: sunlight | code: ref | fields: unit, depth, level, lon
Sensor: cloud_cover | fields: qc, lon, unit, type
Task: Fetch depth from sunlight where unit exists in cloud_cover sensor data for the same type.
Script: | readings = fetch(
node=Node("sunlight", code="ref"),
filter=set_member(
field="unit",
source=Probe("cloud_cover", code="nbl"),
match="type",
),
output="depth",
) | {
"outer_table": "sunlight",
"inner_table": "cloud_cover",
"outer_alias": "ref",
"inner_alias": "nbl",
"proj_col": "depth",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002068 | train |
v3 | Sensor network script:
Node: lightning | code: thr | fields: value, ts, unit, lon
Sensor: air_quality | fields: qc, ts, lon, level
Task: Fetch reading from lightning where depth is greater than the maximum of value in air_quality for matching depth.
Script: | readings = fetch(
node=Node("lightning", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("MAX", "value",
source=Probe("air_quality", code="prt"),
match="depth"),
),
output="reading",
) | {
"outer_table": "lightning",
"inner_table": "air_quality",
"outer_alias": "thr",
"inner_alias": "prt",
"proj_col": "reading",
"filter_col": "depth",
"agg_col": "value",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "thr.depth",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002069 | train |
v2 | Sensor network script:
Node: snow_depth | code: mst | fields: type, qc, unit, ts
Sensor: humidity | fields: ts, qc, type, reading
Task: Get lon from snow_depth where a corresponding entry exists in humidity with the same ts.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=has_match(
source=Probe("humidity", code="hgr"),
match="ts",
),
output="lon",
) | {
"outer_table": "snow_depth",
"inner_table": "humidity",
"outer_alias": "mst",
"inner_alias": "hgr",
"proj_col": "lon",
"join_col": "ts",
"correlated_ref": "mst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002070 | train |
v3 | Sensor network script:
Node: drought_index | code: gst | fields: reading, level, lon, unit
Sensor: humidity | fields: lat, reading, level, ts
Task: Get reading from drought_index where reading exceeds the count of value from humidity for the same depth.
Script: | readings = fetch(
node=Node("drought_index", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("humidity", code="hgr"),
match="depth"),
),
output="reading",
) | {
"outer_table": "drought_index",
"inner_table": "humidity",
"outer_alias": "gst",
"inner_alias": "hgr",
"proj_col": "reading",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002071 | train |
v1 | Sensor network script:
Node: uv_index | code: ref | fields: ts, reading, type, lon
Sensor: sunlight | fields: qc, ts, value, reading
Task: Get depth from uv_index where depth appears in sunlight readings with matching type.
Script: | readings = fetch(
node=Node("uv_index", code="ref"),
filter=set_member(
field="depth",
source=Probe("sunlight", code="brt"),
match="type",
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "sunlight",
"outer_alias": "ref",
"inner_alias": "brt",
"proj_col": "depth",
"filter_col": "depth",
"join_col": "type",
"correlated_ref": "ref.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002072 | train |
v1 | Sensor network script:
Node: uv_index | code: mst | fields: lat, depth, value, level
Sensor: lightning | fields: type, unit, qc, ts
Task: Get lat from uv_index where unit appears in lightning readings with matching unit.
Script: | readings = fetch(
node=Node("uv_index", code="mst"),
filter=set_member(
field="unit",
source=Probe("lightning", code="tnd"),
match="unit",
),
output="lat",
) | {
"outer_table": "uv_index",
"inner_table": "lightning",
"outer_alias": "mst",
"inner_alias": "tnd",
"proj_col": "lat",
"filter_col": "unit",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002073 | train |
v1 | Sensor network script:
Node: uv_index | code: prt | fields: type, unit, level, ts
Sensor: pressure | fields: type, ts, depth, lat
Task: Fetch reading from uv_index where ts exists in pressure sensor data for the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="prt"),
filter=set_member(
field="ts",
source=Probe("pressure", code="mbl"),
match="unit",
),
output="reading",
) | {
"outer_table": "uv_index",
"inner_table": "pressure",
"outer_alias": "prt",
"inner_alias": "mbl",
"proj_col": "reading",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002074 | train |
v3 | Sensor network script:
Node: dew_point | code: gst | fields: unit, level, lat, depth
Sensor: lightning | fields: lon, qc, depth, ts
Task: Fetch value from dew_point where value is greater than the maximum of reading in lightning for matching depth.
Script: | readings = fetch(
node=Node("dew_point", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("lightning", code="tnd"),
match="depth"),
),
output="value",
) | {
"outer_table": "dew_point",
"inner_table": "lightning",
"outer_alias": "gst",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002075 | train |
v2 | Sensor network script:
Node: uv_index | code: prt | fields: value, lon, level, unit
Sensor: rainfall | fields: lon, reading, qc, ts
Task: Retrieve depth from uv_index that have at least one matching reading in rainfall sharing the same unit.
Script: | readings = fetch(
node=Node("uv_index", code="prt"),
filter=has_match(
source=Probe("rainfall", code="rnfl"),
match="unit",
),
output="depth",
) | {
"outer_table": "uv_index",
"inner_table": "rainfall",
"outer_alias": "prt",
"inner_alias": "rnfl",
"proj_col": "depth",
"join_col": "unit",
"correlated_ref": "prt.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002076 | train |
v1 | Sensor network script:
Node: soil_moisture | code: hub | fields: reading, qc, lon, lat
Sensor: cloud_cover | fields: unit, lat, level, depth
Task: Get value from soil_moisture where depth appears in cloud_cover readings with matching depth.
Script: | readings = fetch(
node=Node("soil_moisture", code="hub"),
filter=set_member(
field="depth",
source=Probe("cloud_cover", code="nbl"),
match="depth",
),
output="value",
) | {
"outer_table": "soil_moisture",
"inner_table": "cloud_cover",
"outer_alias": "hub",
"inner_alias": "nbl",
"proj_col": "value",
"filter_col": "depth",
"join_col": "depth",
"correlated_ref": "hub.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002077 | train |
v3 | Sensor network script:
Node: temperature | code: gst | fields: lat, type, reading, ts
Sensor: uv_index | fields: lat, qc, depth, lon
Task: Get lat from temperature where reading exceeds the average depth from uv_index for the same ts.
Script: | readings = fetch(
node=Node("temperature", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("uv_index", code="flx"),
match="ts"),
),
output="lat",
) | {
"outer_table": "temperature",
"inner_table": "uv_index",
"outer_alias": "gst",
"inner_alias": "flx",
"proj_col": "lat",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002078 | train |
v1 | Sensor network script:
Node: wind_speed | code: thr | fields: type, level, lon, unit
Sensor: turbidity | fields: qc, type, value, depth
Task: Get depth from wind_speed where ts appears in turbidity readings with matching unit.
Script: | readings = fetch(
node=Node("wind_speed", code="thr"),
filter=set_member(
field="ts",
source=Probe("turbidity", code="ftu"),
match="unit",
),
output="depth",
) | {
"outer_table": "wind_speed",
"inner_table": "turbidity",
"outer_alias": "thr",
"inner_alias": "ftu",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "unit",
"correlated_ref": "thr.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002079 | train |
v3 | Sensor network script:
Node: uv_index | code: gst | fields: qc, ts, type, lat
Sensor: rainfall | fields: unit, value, level, depth
Task: Retrieve value from uv_index with value above the MAX(reading) of rainfall readings sharing the same ts.
Script: | readings = fetch(
node=Node("uv_index", code="gst"),
filter=exceeds(
field="value",
threshold=aggregate("MAX", "reading",
source=Probe("rainfall", code="rnfl"),
match="ts"),
),
output="value",
) | {
"outer_table": "uv_index",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "rnfl",
"proj_col": "value",
"filter_col": "value",
"agg_col": "reading",
"agg_fn": "MAX",
"join_col": "ts",
"correlated_ref": "gst.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002080 | train |
v1 | Sensor network script:
Node: cloud_cover | code: gst | fields: lon, level, type, lat
Sensor: dew_point | fields: unit, value, level, lat
Task: Get lon from cloud_cover where type appears in dew_point readings with matching qc.
Script: | readings = fetch(
node=Node("cloud_cover", code="gst"),
filter=set_member(
field="type",
source=Probe("dew_point", code="cnd"),
match="qc",
),
output="lon",
) | {
"outer_table": "cloud_cover",
"inner_table": "dew_point",
"outer_alias": "gst",
"inner_alias": "cnd",
"proj_col": "lon",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002081 | train |
v2 | Sensor network script:
Node: dew_point | code: gst | fields: lon, unit, lat, depth
Sensor: snow_depth | fields: type, lat, lon, value
Task: Fetch lon from dew_point that have at least one corresponding snow_depth measurement for the same qc.
Script: | readings = fetch(
node=Node("dew_point", code="gst"),
filter=has_match(
source=Probe("snow_depth", code="snw"),
match="qc",
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "snow_depth",
"outer_alias": "gst",
"inner_alias": "snw",
"proj_col": "lon",
"join_col": "qc",
"correlated_ref": "gst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002082 | train |
v3 | Sensor network script:
Node: drought_index | code: clr | fields: depth, lon, reading, unit
Sensor: frost | fields: lat, qc, level, ts
Task: Retrieve depth from drought_index with value above the COUNT(depth) of frost readings sharing the same ts.
Script: | readings = fetch(
node=Node("drought_index", code="clr"),
filter=exceeds(
field="value",
threshold=aggregate("COUNT", "depth",
source=Probe("frost", code="frs"),
match="ts"),
),
output="depth",
) | {
"outer_table": "drought_index",
"inner_table": "frost",
"outer_alias": "clr",
"inner_alias": "frs",
"proj_col": "depth",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "COUNT",
"join_col": "ts",
"correlated_ref": "clr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002083 | train |
v1 | Sensor network script:
Node: humidity | code: thr | fields: qc, lon, value, reading
Sensor: sunlight | fields: reading, ts, type, qc
Task: Fetch level from humidity where unit exists in sunlight sensor data for the same qc.
Script: | readings = fetch(
node=Node("humidity", code="thr"),
filter=set_member(
field="unit",
source=Probe("sunlight", code="brt"),
match="qc",
),
output="level",
) | {
"outer_table": "humidity",
"inner_table": "sunlight",
"outer_alias": "thr",
"inner_alias": "brt",
"proj_col": "level",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "thr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002084 | train |
v2 | Sensor network script:
Node: sunlight | code: mst | fields: lon, level, type, value
Sensor: pressure | fields: reading, ts, lat, value
Task: Retrieve lon from sunlight that have at least one matching reading in pressure sharing the same unit.
Script: | readings = fetch(
node=Node("sunlight", code="mst"),
filter=has_match(
source=Probe("pressure", code="mbl"),
match="unit",
),
output="lon",
) | {
"outer_table": "sunlight",
"inner_table": "pressure",
"outer_alias": "mst",
"inner_alias": "mbl",
"proj_col": "lon",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002085 | train |
v1 | Sensor network script:
Node: turbidity | code: gst | fields: level, ts, lon, depth
Sensor: sunlight | fields: qc, reading, lat, ts
Task: Retrieve lat from turbidity whose type is found in sunlight records where depth matches the outer node.
Script: | readings = fetch(
node=Node("turbidity", code="gst"),
filter=set_member(
field="type",
source=Probe("sunlight", code="brt"),
match="depth",
),
output="lat",
) | {
"outer_table": "turbidity",
"inner_table": "sunlight",
"outer_alias": "gst",
"inner_alias": "brt",
"proj_col": "lat",
"filter_col": "type",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002086 | train |
v2 | Sensor network script:
Node: temperature | code: ref | fields: unit, level, type, value
Sensor: turbidity | fields: type, value, unit, depth
Task: Get depth from temperature where a corresponding entry exists in turbidity with the same ts.
Script: | readings = fetch(
node=Node("temperature", code="ref"),
filter=has_match(
source=Probe("turbidity", code="ftu"),
match="ts",
),
output="depth",
) | {
"outer_table": "temperature",
"inner_table": "turbidity",
"outer_alias": "ref",
"inner_alias": "ftu",
"proj_col": "depth",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002087 | train |
v3 | Sensor network script:
Node: drought_index | code: hub | fields: value, type, depth, unit
Sensor: lightning | fields: value, lon, unit, depth
Task: Fetch value from drought_index where reading is greater than the average of depth in lightning for matching qc.
Script: | readings = fetch(
node=Node("drought_index", code="hub"),
filter=exceeds(
field="reading",
threshold=aggregate("AVG", "depth",
source=Probe("lightning", code="tnd"),
match="qc"),
),
output="value",
) | {
"outer_table": "drought_index",
"inner_table": "lightning",
"outer_alias": "hub",
"inner_alias": "tnd",
"proj_col": "value",
"filter_col": "reading",
"agg_col": "depth",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002088 | train |
v1 | Sensor network script:
Node: frost | code: thr | fields: unit, qc, ts, depth
Sensor: pressure | fields: ts, level, lon, type
Task: Retrieve value from frost whose unit is found in pressure records where type matches the outer node.
Script: | readings = fetch(
node=Node("frost", code="thr"),
filter=set_member(
field="unit",
source=Probe("pressure", code="mbl"),
match="type",
),
output="value",
) | {
"outer_table": "frost",
"inner_table": "pressure",
"outer_alias": "thr",
"inner_alias": "mbl",
"proj_col": "value",
"filter_col": "unit",
"join_col": "type",
"correlated_ref": "thr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002089 | train |
v3 | Sensor network script:
Node: rainfall | code: mst | fields: lon, reading, depth, level
Sensor: turbidity | fields: ts, level, lon, depth
Task: Get lon from rainfall where value exceeds the total depth from turbidity for the same unit.
Script: | readings = fetch(
node=Node("rainfall", code="mst"),
filter=exceeds(
field="value",
threshold=aggregate("SUM", "depth",
source=Probe("turbidity", code="ftu"),
match="unit"),
),
output="lon",
) | {
"outer_table": "rainfall",
"inner_table": "turbidity",
"outer_alias": "mst",
"inner_alias": "ftu",
"proj_col": "lon",
"filter_col": "value",
"agg_col": "depth",
"agg_fn": "SUM",
"join_col": "unit",
"correlated_ref": "mst.unit",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002090 | train |
v1 | Sensor network script:
Node: dew_point | code: clr | fields: lon, depth, reading, ts
Sensor: uv_index | fields: qc, depth, lat, type
Task: Retrieve lon from dew_point whose type is found in uv_index records where qc matches the outer node.
Script: | readings = fetch(
node=Node("dew_point", code="clr"),
filter=set_member(
field="type",
source=Probe("uv_index", code="flx"),
match="qc",
),
output="lon",
) | {
"outer_table": "dew_point",
"inner_table": "uv_index",
"outer_alias": "clr",
"inner_alias": "flx",
"proj_col": "lon",
"filter_col": "type",
"join_col": "qc",
"correlated_ref": "clr.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002091 | train |
v2 | Sensor network script:
Node: turbidity | code: ref | fields: type, depth, qc, value
Sensor: wind_speed | fields: reading, depth, unit, lat
Task: Retrieve level from turbidity that have at least one matching reading in wind_speed sharing the same ts.
Script: | readings = fetch(
node=Node("turbidity", code="ref"),
filter=has_match(
source=Probe("wind_speed", code="gst"),
match="ts",
),
output="level",
) | {
"outer_table": "turbidity",
"inner_table": "wind_speed",
"outer_alias": "ref",
"inner_alias": "gst",
"proj_col": "level",
"join_col": "ts",
"correlated_ref": "ref.ts",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002092 | train |
v2 | Sensor network script:
Node: evaporation | code: hub | fields: type, value, ts, lat
Sensor: air_quality | fields: ts, reading, value, depth
Task: Get reading from evaporation where a corresponding entry exists in air_quality with the same qc.
Script: | readings = fetch(
node=Node("evaporation", code="hub"),
filter=has_match(
source=Probe("air_quality", code="prt"),
match="qc",
),
output="reading",
) | {
"outer_table": "evaporation",
"inner_table": "air_quality",
"outer_alias": "hub",
"inner_alias": "prt",
"proj_col": "reading",
"join_col": "qc",
"correlated_ref": "hub.qc",
"token_group": "T1",
"fan_out": 1
} | sensor_fixed_v1_train_002093 | train |
v1 | Sensor network script:
Node: snow_depth | code: mst | fields: reading, unit, lon, type
Sensor: turbidity | fields: unit, type, level, depth
Task: Fetch level from snow_depth where unit exists in turbidity sensor data for the same qc.
Script: | readings = fetch(
node=Node("snow_depth", code="mst"),
filter=set_member(
field="unit",
source=Probe("turbidity", code="ftu"),
match="qc",
),
output="level",
) | {
"outer_table": "snow_depth",
"inner_table": "turbidity",
"outer_alias": "mst",
"inner_alias": "ftu",
"proj_col": "level",
"filter_col": "unit",
"join_col": "qc",
"correlated_ref": "mst.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002094 | train |
v1 | Sensor network script:
Node: snow_depth | code: hub | fields: value, lat, lon, ts
Sensor: dew_point | fields: qc, type, depth, unit
Task: Retrieve depth from snow_depth whose ts is found in dew_point records where ts matches the outer node.
Script: | readings = fetch(
node=Node("snow_depth", code="hub"),
filter=set_member(
field="ts",
source=Probe("dew_point", code="cnd"),
match="ts",
),
output="depth",
) | {
"outer_table": "snow_depth",
"inner_table": "dew_point",
"outer_alias": "hub",
"inner_alias": "cnd",
"proj_col": "depth",
"filter_col": "ts",
"join_col": "ts",
"correlated_ref": "hub.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002095 | train |
v3 | Sensor network script:
Node: temperature | code: gst | fields: depth, level, unit, lon
Sensor: rainfall | fields: lat, qc, ts, level
Task: Get lon from temperature where reading exceeds the count of value from rainfall for the same depth.
Script: | readings = fetch(
node=Node("temperature", code="gst"),
filter=exceeds(
field="reading",
threshold=aggregate("COUNT", "value",
source=Probe("rainfall", code="rnfl"),
match="depth"),
),
output="lon",
) | {
"outer_table": "temperature",
"inner_table": "rainfall",
"outer_alias": "gst",
"inner_alias": "rnfl",
"proj_col": "lon",
"filter_col": "reading",
"agg_col": "value",
"agg_fn": "COUNT",
"join_col": "depth",
"correlated_ref": "gst.depth",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002096 | train |
v3 | Sensor network script:
Node: rainfall | code: ref | fields: reading, lat, unit, lon
Sensor: pressure | fields: type, level, lat, lon
Task: Retrieve lon from rainfall with depth above the AVG(reading) of pressure readings sharing the same qc.
Script: | readings = fetch(
node=Node("rainfall", code="ref"),
filter=exceeds(
field="depth",
threshold=aggregate("AVG", "reading",
source=Probe("pressure", code="mbl"),
match="qc"),
),
output="lon",
) | {
"outer_table": "rainfall",
"inner_table": "pressure",
"outer_alias": "ref",
"inner_alias": "mbl",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "AVG",
"join_col": "qc",
"correlated_ref": "ref.qc",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002097 | train |
v1 | Sensor network script:
Node: turbidity | code: clr | fields: qc, ts, type, value
Sensor: snow_depth | fields: depth, value, lon, type
Task: Get reading from turbidity where type appears in snow_depth readings with matching type.
Script: | readings = fetch(
node=Node("turbidity", code="clr"),
filter=set_member(
field="type",
source=Probe("snow_depth", code="snw"),
match="type",
),
output="reading",
) | {
"outer_table": "turbidity",
"inner_table": "snow_depth",
"outer_alias": "clr",
"inner_alias": "snw",
"proj_col": "reading",
"filter_col": "type",
"join_col": "type",
"correlated_ref": "clr.type",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002098 | train |
v3 | Sensor network script:
Node: soil_moisture | code: thr | fields: lon, depth, qc, ts
Sensor: frost | fields: type, unit, lat, qc
Task: Retrieve lon from soil_moisture with depth above the SUM(reading) of frost readings sharing the same ts.
Script: | readings = fetch(
node=Node("soil_moisture", code="thr"),
filter=exceeds(
field="depth",
threshold=aggregate("SUM", "reading",
source=Probe("frost", code="frs"),
match="ts"),
),
output="lon",
) | {
"outer_table": "soil_moisture",
"inner_table": "frost",
"outer_alias": "thr",
"inner_alias": "frs",
"proj_col": "lon",
"filter_col": "depth",
"agg_col": "reading",
"agg_fn": "SUM",
"join_col": "ts",
"correlated_ref": "thr.ts",
"token_group": "T2",
"fan_out": null
} | sensor_fixed_v1_train_002099 | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.